[{"data":1,"prerenderedAt":60167},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"finder-tools":8},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},22,[9,751,1399,2158,2657,3375,3929,4470,5023,5772,6736,7316,7919,8600,9447,9933,10427,10918,11783,12281,13279,14342,14858,15460,16155,16652,17195,18068,18987,19728,20453,21214,21823,22339,22960,23468,24210,24692,25366,26087,26648,27370,28020,28533,29306,29922,30453,31127,31592,32118,32590,33528,34729,35268,35994,36610,37076,37893,38724,39722,40505,41093,41789,42194,42728,43206,43626,44113,44885,45455,46590,47071,47476,47928,48574,49156,49629,49953,50355,50829,51414,51821,52614,53078,53524,53929,54336,54799,55278,55734,56188,56687,57172,57725,58175,58677,59180,59701],{"id":10,"title":11,"alternatives":12,"api_compatible":16,"body":17,"category":677,"chinese_friendly":264,"cover":678,"description":679,"domestic":680,"extension":681,"faq":682,"free":680,"github":16,"languages":695,"lastVerified":16,"meta":698,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":699,"pillar":700,"platforms":701,"priceTable":705,"pricing":719,"published":720,"relatedPlaybooks":721,"relatedReviews":723,"score":725,"self_host":253,"seo":726,"seoTitle":727,"slug":728,"sources":729,"stem":739,"suitable":16,"tagline":740,"tags":741,"updated":732,"verdict":749,"website":637,"__hash__":750},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm.md","AutoGLM",[13,14,15],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fdesktop\u002Fopenclaw","agent\u002Fgeneral\u002Fmanus",null,{"type":18,"value":19,"toc":665},"minimark",[20,25,29,32,35,106,109,129,135,139,144,164,169,192,196,362,365,519,522,572,576,602,605,626,629,661],[21,22,24],"h2",{"id":23},"tldr","TL;DR",[26,27,28],"p",{},"AutoGLM 是智谱清言 + 清华大学合作的 GUI 自治智能体研究项目（arXiv 2411.00820）。2025-12-08 开源 Open-AutoGLM：AutoGLM-Phone-9B 模型（MIT 协议，HuggingFace \u002F ModelScope 可下载）+ Apache 2.0 框架代码 + Android 适配 + Remote ADB + 50+ 中文 App 示例。VAB-WebArena-Lite 55.2% \u002F 59.1% 成功率，覆盖微信 \u002F 淘宝 \u002F 美团 \u002F Gmail \u002F Google Maps 等。Web 端通过智谱清言 Chrome 扩展（10 万+ 用户）提供页面总结 \u002F 高级检索能力。",[26,30,31],{},"适合：研究 GUI agent 的学术 \u002F 工程团队；国内 App 自治场景；要中文模型 + 私有化部署；想本地跑 phone agent 不依赖外网。不适合：跨平台桌面自动化（用 Anthropic Computer Use \u002F Claude Desktop）；纯英文 web 任务（成功率不如商业产品）；要 production-grade 稳定性（学术 \u002F 开源版本仍在演进）。",[21,33,34],{"id":34},"核心能力",[36,37,38,46,52,58,64,70,76,82,88,94,100],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"AutoGLM-Phone-9B","：MIT 协议开源模型，HuggingFace \u002F ModelScope 可下载",[39,47,48,51],{},[42,49,50],{},"Android 适配层","：原生 Android API + Accessibility Service",[39,53,54,57],{},[42,55,56],{},"Remote ADB","：初次配置后通过 WiFi 控制设备，无需 USB",[39,59,60,63],{},[42,61,62],{},"多模态屏幕理解","：截屏 + UI 树双输入，规划 + grounding 分离",[39,65,66,69],{},[42,67,68],{},"50+ 中文 App 任务示例","：微信 \u002F 淘宝 \u002F 美团 \u002F 京东 \u002F 支付宝 \u002F 抖音 \u002F 小红书 \u002F 大众点评等",[39,71,72,75],{},[42,73,74],{},"英文 App 覆盖","：Gmail \u002F Google Maps \u002F X \u002F Reddit \u002F OneStopShop",[39,77,78,81],{},[42,79,80],{},"Web 浏览器智能体","：Chrome 扩展 + VAB-WebArena-Lite 55.2% \u002F 59.1%",[39,83,84,87],{},[42,85,86],{},"页面总结 + 划线助手 + 写作助手 + 高级检索","（知网 \u002F 知乎 \u002F 小红书）",[39,89,90,93],{},[42,91,92],{},"Safe Operations","：敏感操作（登录 \u002F 验证码）确认后由人接管",[39,95,96,99],{},[42,97,98],{},"Python API","：几行代码就能跑通自动化任务",[39,101,102,105],{},[42,103,104],{},"私有化部署","：模型 + 框架本地跑，数据 \u002F 日志 \u002F 权限完全自控",[21,107,108],{"id":108},"价格",[36,110,111,117,123],{},[39,112,113,116],{},[42,114,115],{},"Open-AutoGLM","：$0；模型 MIT + 代码 Apache 2.0",[39,118,119,122],{},[42,120,121],{},"Chrome 扩展","：$0；Chrome Web Store 装即用",[39,124,125,128],{},[42,126,127],{},"整合产品（智谱清言 App）","：商业服务，价格随订阅",[130,131,132],"blockquote",{},[26,133,134],{},"真实成本 = 0（开源）+ GPU 推理（9B 模型 RTX 4090 一张即可跑）",[21,136,138],{"id":137},"实测开源版本-pixel-6a-ubuntu-2204","实测（开源版本 \u002F Pixel 6a + Ubuntu 22.04）",[26,140,141],{},[42,142,143],{},"亮点：",[36,145,146,149,152,155,158,161],{},[39,147,148],{},"32 个月研发的『手机 GUI agent』终于开源，是国内学术圈难得的开放姿态",[39,150,151],{},"中文 App 覆盖度领先：微信 \u002F 美团 \u002F 淘宝跑通率高",[39,153,154],{},"模型 9B 可在单卡 4090 + 24GB 显存跑，门槛友好",[39,156,157],{},"Remote ADB 让长跑实验摆脱 USB 线",[39,159,160],{},"学术 benchmark 数据透明（55.2% \u002F 59.1%）",[39,162,163],{},"safe-operation 设计对登录 \u002F 支付环节做人审接管，避免误操作",[26,165,166],{},[42,167,168],{},"踩坑：",[36,170,171,174,177,180,183,186,189],{},[39,172,173],{},"App 版本更新后 UI 元素变化要重新适配",[39,175,176],{},"9B 模型在复杂多步骤任务上推理不如商业大模型（GPT-5.4 \u002F Claude Opus 4.6）",[39,178,179],{},"主要面向 Android，iOS 支持空缺",[39,181,182],{},"文档以 README + 论文为主，工程化最佳实践薄",[39,184,185],{},"国行 App 隐私 \u002F 反爬监测会偶尔拦截",[39,187,188],{},"Chrome 扩展 3.4 \u002F 5 评分中等，功能尚可但稳定性一般",[39,190,191],{},"整合版（智谱清言）和开源版差异要注意，别混用",[21,193,195],{"id":194},"上手open-autoglm","上手（Open-AutoGLM）",[197,198,203],"pre",{"className":199,"code":200,"language":201,"meta":202,"style":202},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002Fzai-org\u002FOpen-AutoGLM\ncd Open-AutoGLM && pip install -r requirements.txt\n\n# 下载 9B 模型\nhuggingface-cli download THUDM\u002FAutoGLM-Phone-9B\n\n# 配置 ADB（USB 一次）\nadb tcpip 5555 && adb connect \u003Cdevice-ip>:5555\n\n# 跑示例任务\npython examples\u002Frun_phone_agent.py \\\n  --model THUDM\u002FAutoGLM-Phone-9B \\\n  --task \"在小红书搜索罗马旅游攻略并总结景点\"\n","bash","",[204,205,206,222,248,255,262,274,279,285,319,324,330,342,353],"code",{"__ignoreMap":202},[207,208,211,215,219],"span",{"class":209,"line":210},"line",1,[207,212,214],{"class":213},"sScJk","git",[207,216,218],{"class":217},"sZZnC"," clone",[207,220,221],{"class":217}," https:\u002F\u002Fgithub.com\u002Fzai-org\u002FOpen-AutoGLM\n",[207,223,225,229,232,236,239,242,245],{"class":209,"line":224},2,[207,226,228],{"class":227},"sj4cs","cd",[207,230,231],{"class":217}," Open-AutoGLM",[207,233,235],{"class":234},"sVt8B"," && ",[207,237,238],{"class":213},"pip",[207,240,241],{"class":217}," install",[207,243,244],{"class":227}," -r",[207,246,247],{"class":217}," requirements.txt\n",[207,249,251],{"class":209,"line":250},3,[207,252,254],{"emptyLinePlaceholder":253},true,"\n",[207,256,258],{"class":209,"line":257},4,[207,259,261],{"class":260},"sJ8bj","# 下载 9B 模型\n",[207,263,265,268,271],{"class":209,"line":264},5,[207,266,267],{"class":213},"huggingface-cli",[207,269,270],{"class":217}," download",[207,272,273],{"class":217}," THUDM\u002FAutoGLM-Phone-9B\n",[207,275,277],{"class":209,"line":276},6,[207,278,254],{"emptyLinePlaceholder":253},[207,280,282],{"class":209,"line":281},7,[207,283,284],{"class":260},"# 配置 ADB（USB 一次）\n",[207,286,288,291,294,297,299,301,304,308,311,313,316],{"class":209,"line":287},8,[207,289,290],{"class":213},"adb",[207,292,293],{"class":217}," tcpip",[207,295,296],{"class":227}," 5555",[207,298,235],{"class":234},[207,300,290],{"class":213},[207,302,303],{"class":217}," connect",[207,305,307],{"class":306},"szBVR"," \u003C",[207,309,310],{"class":217},"device-i",[207,312,26],{"class":234},[207,314,315],{"class":306},">",[207,317,318],{"class":217},":5555\n",[207,320,322],{"class":209,"line":321},9,[207,323,254],{"emptyLinePlaceholder":253},[207,325,327],{"class":209,"line":326},10,[207,328,329],{"class":260},"# 跑示例任务\n",[207,331,333,336,339],{"class":209,"line":332},11,[207,334,335],{"class":213},"python",[207,337,338],{"class":217}," examples\u002Frun_phone_agent.py",[207,340,341],{"class":227}," \\\n",[207,343,345,348,351],{"class":209,"line":344},12,[207,346,347],{"class":227},"  --model",[207,349,350],{"class":217}," THUDM\u002FAutoGLM-Phone-9B",[207,352,341],{"class":227},[207,354,356,359],{"class":209,"line":355},13,[207,357,358],{"class":227},"  --task",[207,360,361],{"class":217}," \"在小红书搜索罗马旅游攻略并总结景点\"\n",[21,363,364],{"id":364},"对比",[366,367,368,389],"table",{},[369,370,371],"thead",{},[372,373,374,378,380,383,386],"tr",{},[375,376,377],"th",{},"维度",[375,379,11],{},[375,381,382],{},"Claude Desktop",[375,384,385],{},"OpenClaw",[375,387,388],{},"Anthropic Computer Use",[390,391,392,410,427,444,458,474,488,502],"tbody",{},[372,393,394,398,401,404,407],{},[395,396,397],"td",{},"平台",[395,399,400],{},"Android + Web",[395,402,403],{},"macOS \u002F Windows + MCP",[395,405,406],{},"macOS\u002FLinux\u002FWin",[395,408,409],{},"跨平台",[372,411,412,415,418,421,424],{},[395,413,414],{},"开源",[395,416,417],{},"✅ MIT 模型 + Apache 代码",[395,419,420],{},"闭源",[395,422,423],{},"✅ MIT",[395,425,426],{},"❌",[372,428,429,432,435,438,441],{},[395,430,431],{},"中文 App",[395,433,434],{},"✅ 50+ 示例",[395,436,437],{},"–",[395,439,440],{},"部分",[395,442,443],{},"弱",[372,445,446,449,452,454,456],{},[395,447,448],{},"Phone agent",[395,450,451],{},"✅ 9B 模型",[395,453,426],{},[395,455,426],{},[395,457,426],{},[372,459,460,463,465,468,471],{},[395,461,462],{},"桌面 agent",[395,464,426],{},[395,466,467],{},"✅ MCP",[395,469,470],{},"✅ Gateway",[395,472,473],{},"✅ 原生",[372,475,476,479,482,484,486],{},[395,477,478],{},"学术 benchmark",[395,480,481],{},"✅ 公开",[395,483,437],{},[395,485,437],{},[395,487,440],{},[372,489,490,493,495,497,500],{},[395,491,492],{},"整合 IM",[395,494,437],{},[395,496,437],{},[395,498,499],{},"✅ 20+ 平台",[395,501,437],{},[372,503,504,507,510,513,516],{},[395,505,506],{},"适合",[395,508,509],{},"国内 App \u002F 研究 \u002F 私有化",[395,511,512],{},"MCP 生态桌面",[395,514,515],{},"IM 触发个人 agent",[395,517,518],{},"跨平台桌面",[21,520,521],{"id":521},"避坑",[36,523,524,530,536,542,548,554,560,566],{},[39,525,526,529],{},[42,527,528],{},"App 版本敏感","：UI 改动后效果下降，要 pin App 版本或重训样本",[39,531,532,535],{},[42,533,534],{},"9B 模型推理上限","：复杂多步任务上不及 GPT-5.4 \u002F Claude，可叠加外部规划模型",[39,537,538,541],{},[42,539,540],{},"iOS 暂缺","：需要 iOS agent 走别的方案",[39,543,544,547],{},[42,545,546],{},"Remote ADB 安全","：开放端口必须限内网 + 防火墙",[39,549,550,553],{},[42,551,552],{},"国行 App 反爬","：账号风控 \u002F 验证码会触发，必要时 human-in-the-loop",[39,555,556,559],{},[42,557,558],{},"学术 vs 整合版","：开源版能力 ≠ 智谱清言 App 内置版能力，PoC 别混淆",[39,561,562,565],{},[42,563,564],{},"隐私 \u002F 合规","：本地部署是优势，但读取 IM \u002F 通讯录仍要符合用户授权 + 当地法律",[39,567,568,571],{},[42,569,570],{},"MIT 模型 + Apache 代码","：商用务必看 LICENSE，企业合规审计要走流程",[21,573,575],{"id":574},"适合-不适合","适合 \u002F 不适合",[36,577,578,581,584,587,590,593,596,599],{},[39,579,580],{},"✅ GUI agent 学术研究 \u002F 工程团队",[39,582,583],{},"✅ 国内 App 自治（微信 \u002F 美团 \u002F 淘宝 \u002F 小红书）",[39,585,586],{},"✅ 想本地跑 phone agent + 数据自主",[39,588,589],{},"✅ 私有化部署 + 合规需求",[39,591,592],{},"❌ 跨平台桌面自动化（Claude Desktop \u002F Anthropic Computer Use）",[39,594,595],{},"❌ iOS App 自治",[39,597,598],{},"❌ 要 production-grade 稳定性（仍在演进）",[39,600,601],{},"❌ 不懂 ADB \u002F Python 部署的纯用户",[21,603,604],{"id":604},"相关阅读",[36,606,607,614,620],{},[39,608,609],{},[610,611,613],"a",{"href":612},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[39,615,616],{},[610,617,619],{"href":618},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw","OpenClaw 评测",[39,621,622],{},[610,623,625],{"href":624},"\u002Ftools\u002Fcoding\u002Fagent\u002Fmanus","Manus 评测",[21,627,628],{"id":628},"来源",[630,631,632,640,647,654],"ol",{},[39,633,634,635],{},"AutoGLM 项目主页（含 Open-AutoGLM 2025-12-08 发布说明 \u002F benchmark 数据）",[610,636,637],{"href":637,"rel":638},"https:\u002F\u002Fxiao9905.github.io\u002FAutoGLM",[639],"nofollow",[39,641,642,643],{},"腾讯新闻 — 智谱开源 AutoGLM（32 个月研发 \u002F MIT + Apache 2.0）",[610,644,645],{"href":645,"rel":646},"https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20251209A05V1G00",[639],[39,648,649,650],{},"AutoGLM arXiv 论文 ",[610,651,652],{"href":652,"rel":653},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2411.00820",[639],[39,655,656,657],{},"Chrome Web Store — 智谱清言 ChatGLM & AutoGLM 工作学习 AI 助手 ",[610,658,659],{"href":659,"rel":660},"https:\u002F\u002Fchromewebstore.google.com\u002Fdetail\u002Fmnpdbmgpebfihcndnpgdaihnkmloclkd",[639],[662,663,664],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":666},[667,668,669,670,671,672,673,674,675,676],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":137,"depth":224,"text":138},{"id":194,"depth":224,"text":195},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"desktop","\u002Fimg\u002Ftools\u002Fautoglm.webp","AutoGLM 真实评测：智谱清言 + 清华大学合作的 GUI 自治智能体研究产品（arXiv 2411.00820）。2025-12-08 Open-AutoGLM 开源版本（MIT\u002FApache 2.0）发布，含 AutoGLM-Phone-9B 模型（HuggingFace \u002F ModelScope 可下载）+ Android 适配层 + 50+ 中文 App 任务示例。VAB-WebArena-Lite 55.2% 成功率（二次尝试 59.1%），中文 App 支持 Gmail\u002F微信\u002F淘宝\u002F美团等。",false,"md",[683,686,689,692],{"q":684,"a":685},"Open-AutoGLM 和原 AutoGLM 什么关系？","原 AutoGLM 是智谱 2024-10 发布的闭源整合产品（手机 + Web GUI agent），首次在真实手机环境跑通完整自治链路。Open-AutoGLM 是 2025-12 开源版本，把核心模型（AutoGLM-Phone-9B）+ 框架代码 + Android 适配层 + 50+ 中文 App 任务示例释放出来，方便开发者本地部署 + 二次开发。整合版闭源、商业；开源版用于学术 \u002F 私有化。",{"q":687,"a":688},"支持哪些 App？","Open-AutoGLM 内置 50+ 中文 App 示例：微信 \u002F 淘宝 \u002F 美团 \u002F 京东 \u002F 支付宝 \u002F 抖音 \u002F 小红书 \u002F 网易云 \u002F 大众点评 + 英文 Gmail \u002F Google Maps \u002F X \u002F Reddit 等。任何 Android App 理论可用，但效果取决于 UI 元素的可识别度，新版本 App 需要重新适配。",{"q":690,"a":691},"Web 端能力？","Web 端通过 Chrome 扩展（智谱清言：ChatGLM & AutoGLM 工作学习 AI 助手）提供——10 万+ 用户安装，含页面总结 \u002F 划线助手 \u002F 写作助手 \u002F 高级检索（知网 \u002F 知乎 \u002F 小红书）。VAB-WebArena-Lite benchmark 55.2% 首次成功率，二次尝试 59.1%。",{"q":693,"a":694},"和 Anthropic Computer Use \u002F Claude Desktop 怎么选？","AutoGLM 强在中文 App + 学术研究 + 开源权重 + 国内合规；Anthropic Computer Use 强在跨平台桌面 + 英文场景 + 模型推理；Claude Desktop 强在 MCP 生态 + 一键 .mcpb 安装。国内 App 自治 + 私有化 → AutoGLM；英文桌面 + 通用桌面操作 → Anthropic \u002F Claude Desktop。",[696,697],"zh","en",{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm","agent",[702,703,704],"android","chrome-extension","web",[706,710,714],{"plan":115,"price":707,"features":708,"notes":709},"$0","AutoGLM-Phone-9B 模型（MIT）+ 框架代码（Apache 2.0）+ Android 适配 + Remote ADB + 50+ 中文 App 示例","开源 \u002F 私有化部署",{"plan":711,"price":707,"features":712,"notes":713},"智谱清言 Chrome 扩展","Web 划线 \u002F 总结 \u002F 高级检索 \u002F 写作助手 \u002F 页面对话","Chrome Web Store",{"plan":715,"price":716,"features":717,"notes":718},"智谱清言 App 内置","Custom","完整 GUI agent 能力（Phone \u002F Web）+ 整合产品体验","国行 App \u002F 商业服务","Open-AutoGLM 开源免费（MIT 模型 + Apache 2.0 代码）\u002F 智谱清言 App 内置版商业","2026-06-19",[722],"onboarding\u002Fgui-agent-engineering",[724],"autoglm-deep-review",{"power":257,"ux":257,"price":264,"cn_support":264,"stability":250},{"title":11,"description":679},"AutoGLM 评测 2026：智谱 GUI 自治智能体，开源 9B 手机模型","agent\u002Fdesktop\u002Fautoglm",[730,733,735,737],{"name":731,"url":637,"accessed":732},"AutoGLM 项目主页（清华 \u002F Z.AI）","2026-06-24",{"name":734,"url":645,"accessed":732},"腾讯新闻 — 智谱开源 AutoGLM",{"name":736,"url":652,"accessed":732},"AutoGLM arXiv 论文 2411.00820",{"name":738,"url":659,"accessed":732},"Chrome Web Store — 智谱清言扩展（10万+用户）","tools\u002Fagent\u002Fdesktop\u002Fautoglm","智谱清言出品 + 清华团队 GUI 自治智能体——Open-AutoGLM 开源 9B 手机模型 + Chrome 浏览器扩展",[742,743,744,745,746,747,748],"gui-agent","mobile-agent","browser-agent","opensource","chinese","zhipu","chatglm","国内『AI 操作手机 \u002F 浏览器』开源标杆——智谱 32 个月研发、清华学术背景、MIT 开源模型权重。学术研究 \u002F 国内 App 自治 \u002F 私有化部署首选。生产稳定性 + 跨平台桌面仍弱于 Anthropic Computer Use \u002F Claude Desktop。","NXfcboF7khrYK75qWi7v5Cp05Xd8Z4VHozX686Y9QBI",{"id":752,"title":382,"alternatives":753,"api_compatible":16,"body":755,"category":677,"chinese_friendly":250,"cover":1329,"description":1330,"domestic":680,"extension":681,"faq":1331,"free":680,"github":16,"languages":1344,"lastVerified":16,"meta":1346,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":612,"pillar":700,"platforms":1347,"priceTable":1351,"pricing":1373,"published":720,"relatedPlaybooks":1374,"relatedReviews":16,"score":1376,"self_host":680,"seo":1377,"seoTitle":1378,"slug":13,"sources":1379,"stem":1388,"suitable":16,"tagline":1389,"tags":1390,"updated":732,"verdict":1396,"website":1397,"__hash__":1398},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop.md",[14,728,754],"agent\u002Fdesktop\u002Fcrush",{"type":18,"value":756,"toc":1317},[757,759,762,765,767,835,837,874,879,883,887,907,911,934,937,955,1036,1041,1043,1178,1180,1235,1237,1263,1265,1282,1284,1314],[21,758,24],{"id":23},[26,760,761],{},"Claude Desktop 是 Anthropic 官方 macOS \u002F Windows \u002F Linux 桌面客户端。差异点：原生 Model Context Protocol（MCP）支持 + 2025-06 推出的 Desktop Extensions（.mcpb，原 .dxt，2025-09 改名）让用户双击即装 MCP 工具，零配置 \u002F 零依赖 \u002F 零 JSON。Connectors 面板 + Extensions 市场 + 手动 JSON 配置三种路径。Free \u002F Pro $20 \u002F Max $100 \u002F Max+ $200 \u002F Team $30 \u002F Enterprise。",[26,763,764],{},"适合：要 Claude Opus \u002F Sonnet + 桌面 MCP 工具链的开发者；想打通文件系统 \u002F DB \u002F GitHub \u002F 浏览器自动化的 power user；团队协作通过 Projects 共享上下文。不适合：中国大陆地区无海外支付（个人翻墙能用、企业付费走不通）；纯代码场景（Cursor \u002F VS Code 更好）；预算极紧（Free 配额有限）。",[21,766,34],{"id":34},[36,768,769,775,781,787,793,799,805,811,817,823,829],{},[39,770,771,774],{},[42,772,773],{},"原生 MCP 支持","：stdio \u002F SSE \u002F HTTP transport，工具调用直接进入对话",[39,776,777,780],{},[42,778,779],{},".mcpb Extensions","：一键双击安装，含 Node.js \u002F Python 依赖全打包",[39,782,783,786],{},[42,784,785],{},"Connectors 面板","：+ 菜单浏览 \u002F 启用主流 MCP server",[39,788,789,792],{},[42,790,791],{},"手动 JSON 配置","：Settings → Developer → Edit Config 完全控制",[39,794,795,798],{},[42,796,797],{},"Projects","：跨会话共享 system prompt + 文件 + 知识库",[39,800,801,804],{},[42,802,803],{},"Artifacts","：HTML \u002F React \u002F Markdown 实时预览",[39,806,807,810],{},[42,808,809],{},"多模态","：图片 + PDF + CSV 上传分析",[39,812,813,816],{},[42,814,815],{},"Opus \u002F Sonnet \u002F Haiku 三档","：按任务难度切换",[39,818,819,822],{},[42,820,821],{},"Computer Use（Sonnet 4.6+）","：跨平台桌面操作（API 形式）",[39,824,825,828],{},[42,826,827],{},"Team Projects","：共享 prompt + admin + 用量分配",[39,830,831,834],{},[42,832,833],{},"Enterprise","：SSO + SCIM + 审计 + DLP + 数据保留策略",[21,836,108],{"id":108},[36,838,839,845,851,857,863,869],{},[39,840,841,844],{},[42,842,843],{},"Free","：$0；基础访问 + MCP 支持",[39,846,847,850],{},[42,848,849],{},"Pro","：$20\u002F月；Opus + Projects + 5x 配额",[39,852,853,856],{},[42,854,855],{},"Max","：$100\u002F月；5x Pro 用量 + 优先速度",[39,858,859,862],{},[42,860,861],{},"Max+","：$200\u002F月；20x Pro 用量",[39,864,865,868],{},[42,866,867],{},"Team","：$30\u002Fuser·月（最少 5 人，年付）",[39,870,871,873],{},[42,872,833],{},"：Custom",[130,875,876],{},[26,877,878],{},"实际配额：Pro 复杂 MCP + 大文件任务一天就能用尽，重度工作流走 Max。",[21,880,882],{"id":881},"实测开发者主力-macos-windows-双开","实测（开发者主力 \u002F macOS \u002F Windows 双开）",[26,884,885],{},[42,886,143],{},[36,888,889,892,895,898,901,904],{},[39,890,891],{},".mcpb 让非工程师用户也能装上 GitHub \u002F filesystem \u002F SQLite 工具",[39,893,894],{},"Opus 推理质量在所有桌面 agent 中最强",[39,896,897],{},"Projects 跨会话保留上下文非常省 token",[39,899,900],{},"MCP 工具调用 + Artifacts 预览同窗体验流畅",[39,902,903],{},"Anthropic 官方更新节奏稳，2026 几乎每月有功能",[39,905,906],{},"Settings → Developer → Edit Config 一键打开配置，路径不再坑用户",[26,908,909],{},[42,910,168],{},[36,912,913,916,919,922,925,928,931],{},[39,914,915],{},"中国大陆访问 + 支付都受限",[39,917,918],{},"MCP 配置错误的报错很简短，要看 Console \u002F Log",[39,920,921],{},"大文件 \u002F 长上下文偶尔出现 token 计费偏高",[39,923,924],{},"Linux 版本更新偶尔落后 macOS \u002F Windows",[39,926,927],{},".mcpb 包格式更换（.dxt → .mcpb）期间的旧包还在用，命名混乱",[39,929,930],{},"Free 配额限制偏紧，体验完整流程几乎要 Pro",[39,932,933],{},"多账户切换不友好，企业 + 个人共用要登出登入",[21,935,936],{"id":936},"上手",[630,938,939,942,949,952],{},[39,940,941],{},"claude.ai\u002Fdownload → 下载对应系统客户端 → 安装登录",[39,943,944],{},[36,945,946],{},[39,947,948],{},"菜单 → Connectors → 浏览主流 MCP server（filesystem \u002F GitHub \u002F Slack \u002F Postgres）",[39,950,951],{},"或 Settings → Extensions → 下载 .mcpb 文件 → 双击安装",[39,953,954],{},"或 Settings → Developer → Edit Config → 手动加：",[197,956,960],{"className":957,"code":958,"language":959,"meta":202,"style":202},"language-json shiki shiki-themes github-light github-dark","{\n  \"mcpServers\": {\n    \"filesystem\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@modelcontextprotocol\u002Fserver-filesystem\", \"\u002FUsers\u002Fyou\u002Fwork\"]\n    }\n  }\n}\n","json",[204,961,962,967,975,982,996,1021,1026,1031],{"__ignoreMap":202},[207,963,964],{"class":209,"line":210},[207,965,966],{"class":234},"{\n",[207,968,969,972],{"class":209,"line":224},[207,970,971],{"class":227},"  \"mcpServers\"",[207,973,974],{"class":234},": {\n",[207,976,977,980],{"class":209,"line":250},[207,978,979],{"class":227},"    \"filesystem\"",[207,981,974],{"class":234},[207,983,984,987,990,993],{"class":209,"line":257},[207,985,986],{"class":227},"      \"command\"",[207,988,989],{"class":234},": ",[207,991,992],{"class":217},"\"npx\"",[207,994,995],{"class":234},",\n",[207,997,998,1001,1004,1007,1010,1013,1015,1018],{"class":209,"line":264},[207,999,1000],{"class":227},"      \"args\"",[207,1002,1003],{"class":234},": [",[207,1005,1006],{"class":217},"\"-y\"",[207,1008,1009],{"class":234},", ",[207,1011,1012],{"class":217},"\"@modelcontextprotocol\u002Fserver-filesystem\"",[207,1014,1009],{"class":234},[207,1016,1017],{"class":217},"\"\u002FUsers\u002Fyou\u002Fwork\"",[207,1019,1020],{"class":234},"]\n",[207,1022,1023],{"class":209,"line":276},[207,1024,1025],{"class":234},"    }\n",[207,1027,1028],{"class":209,"line":281},[207,1029,1030],{"class":234},"  }\n",[207,1032,1033],{"class":209,"line":287},[207,1034,1035],{"class":234},"}\n",[630,1037,1038],{"start":264},[39,1039,1040],{},"重启 Claude Desktop → 看到对话框右下角 🔨 工具图标 → 测试 \"list files in \u002FUsers\u002Fyou\u002Fwork\"",[21,1042,364],{"id":364},[366,1044,1045,1061],{},[369,1046,1047],{},[372,1048,1049,1051,1053,1056,1059],{},[375,1050,377],{},[375,1052,382],{},[375,1054,1055],{},"ChatGPT Desktop",[375,1057,1058],{},"Cursor",[375,1060,385],{},[390,1062,1063,1078,1093,1107,1123,1135,1148,1162],{},[372,1064,1065,1068,1071,1074,1076],{},[395,1066,1067],{},"原生 MCP",[395,1069,1070],{},"✅ 旗舰",[395,1072,1073],{},"部分（GPT Actions）",[395,1075,440],{},[395,1077,470],{},[372,1079,1080,1083,1086,1088,1091],{},[395,1081,1082],{},"一键扩展安装",[395,1084,1085],{},"✅ .mcpb",[395,1087,437],{},[395,1089,1090],{},"✅ 部分",[395,1092,437],{},[372,1094,1095,1098,1101,1103,1105],{},[395,1096,1097],{},"桌面 \u002F 文件系统",[395,1099,1100],{},"✅",[395,1102,1100],{},[395,1104,1100],{},[395,1106,1100],{},[372,1108,1109,1112,1115,1118,1121],{},[395,1110,1111],{},"模型",[395,1113,1114],{},"Claude（Opus \u002F Sonnet）",[395,1116,1117],{},"GPT-5.x",[395,1119,1120],{},"多模型",[395,1122,1120],{},[372,1124,1125,1127,1129,1131,1133],{},[395,1126,414],{},[395,1128,426],{},[395,1130,426],{},[395,1132,426],{},[395,1134,423],{},[372,1136,1137,1140,1142,1144,1146],{},[395,1138,1139],{},"中国大陆支付",[395,1141,426],{},[395,1143,426],{},[395,1145,426],{},[395,1147,1100],{},[372,1149,1150,1153,1156,1158,1160],{},[395,1151,1152],{},"起价",[395,1154,1155],{},"$20\u002F月",[395,1157,1155],{},[395,1159,1155],{},[395,1161,707],{},[372,1163,1164,1166,1169,1172,1175],{},[395,1165,506],{},[395,1167,1168],{},"MCP 生态 + Claude 派",[395,1170,1171],{},"OpenAI 派",[395,1173,1174],{},"代码主力",[395,1176,1177],{},"自托管 IM 触发",[21,1179,521],{"id":521},[36,1181,1182,1188,1194,1200,1206,1212,1218,1224,1230],{},[39,1183,1184,1187],{},[42,1185,1186],{},"配置文件路径常错","：用 Settings → Developer → Edit Config 一键打开，不要手输路径",[39,1189,1190,1193],{},[42,1191,1192],{},"JSON 必须合法","：注释 \u002F 尾逗号会报错，建议 VS Code 校验",[39,1195,1196,1199],{},[42,1197,1198],{},"重启才生效","：改完 config 务必完全退出 + 重启，菜单栏图标也要点 Quit",[39,1201,1202,1205],{},[42,1203,1204],{},"NPM 依赖卡住","：npx 首次拉包慢，设置代理或预跑一次再用",[39,1207,1208,1211],{},[42,1209,1210],{},"环境变量隔离","：每个 MCP server 的 env 只对该 server 可见，避免泄露",[39,1213,1214,1217],{},[42,1215,1216],{},"filesystem 限定路径","：args 里只给必要目录，不要给 \u002F 或整个 home",[39,1219,1220,1223],{},[42,1221,1222],{},".mcpb 来源","：只装信任来源的扩展，扩展能读你给它的目录 \u002F 调用 shell",[39,1225,1226,1229],{},[42,1227,1228],{},"中国大陆","：个人能翻墙用，企业付费 \u002F 数据合规走 OpenRouter 或 API + 自家前端",[39,1231,1232,1234],{},[42,1233,785],{}," 偶有 server 不可用，回退到 JSON 手动配置",[21,1236,575],{"id":574},[36,1238,1239,1242,1245,1248,1251,1254,1257,1260],{},[39,1240,1241],{},"✅ Claude Opus \u002F Sonnet 重度用户",[39,1243,1244],{},"✅ 想打通文件系统 \u002F DB \u002F GitHub \u002F 浏览器自动化的开发者",[39,1246,1247],{},"✅ 团队协作通过 Team Projects 共享上下文",[39,1249,1250],{},"✅ MCP 生态早期采用者 \u002F 工具开发者",[39,1252,1253],{},"❌ 中国大陆企业要正规付费 + 合规",[39,1255,1256],{},"❌ 纯代码工作流（Cursor \u002F Continue 更顺）",[39,1258,1259],{},"❌ 预算极紧（Free 配额很快耗尽）",[39,1261,1262],{},"❌ 要自托管 + 数据完全自主（走 OpenClaw \u002F 自家方案）",[21,1264,604],{"id":604},[36,1266,1267,1271,1276],{},[39,1268,1269],{},[610,1270,619],{"href":618},[39,1272,1273],{},[610,1274,1275],{"href":699},"AutoGLM 评测",[39,1277,1278],{},[610,1279,1281],{"href":1280},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush","Crush 评测",[21,1283,628],{"id":628},[630,1285,1286,1293,1300,1307],{},[39,1287,1288,1289],{},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt 改名 2025-09）",[610,1290,1291],{"href":1291,"rel":1292},"https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Fdesktop-extensions",[639],[39,1294,1295,1296],{},"Toolradar — Claude Desktop MCP Server Setup 2026（路径 \u002F 配置示例）",[610,1297,1298],{"href":1298,"rel":1299},"https:\u002F\u002Ftoolradar.com\u002Fblog\u002Fclaude-desktop-mcp-server-setup",[639],[39,1301,1302,1303],{},"MCP Playground — Complete 2026 Setup Guide ",[610,1304,1305],{"href":1305,"rel":1306},"https:\u002F\u002Fmcpplaygroundonline.com\u002Fblog\u002Fhow-to-setup-mcp-claude-desktop",[639],[39,1308,1309,1310],{},"Anthropic — Pricing（Pro $20 \u002F Max $100 \u002F Max+ $200 \u002F Team $30 \u002F Enterprise）",[610,1311,1312],{"href":1312,"rel":1313},"https:\u002F\u002Fwww.anthropic.com\u002Fpricing",[639],[662,1315,1316],{},"html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":1318},[1319,1320,1321,1322,1323,1324,1325,1326,1327,1328],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":881,"depth":224,"text":882},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fclaude-desktop.webp","Claude Desktop 真实评测：Anthropic 官方 macOS \u002F Windows \u002F Linux 客户端。原生 Model Context Protocol（MCP）支持，2025-06 推出 Desktop Extensions（.mcpb 包，原 .dxt），用户双击即装无需 Node.js \u002F JSON 配置。Connectors 面板 + Extensions 市场 + 手动 JSON 配置三种安装方式。Free \u002F Pro $20 \u002F Max $100-200 \u002F Team $30 \u002F 用户 \u002F Enterprise。",[1332,1335,1338,1341],{"q":1333,"a":1334},"MCP 配置文件在哪？","macOS：~\u002FLibrary\u002FApplication Support\u002FClaude\u002Fclaude_desktop_config.json；Windows：%APPDATA%\\Claude\\claude_desktop_config.json；Linux：~\u002F.config\u002FClaude\u002Fclaude_desktop_config.json。直接 Settings → Developer → Edit Config 打开最方便。",{"q":1336,"a":1337},".mcpb（Desktop Extensions）和手动 JSON 怎么选？",".mcpb（原 .dxt，2025-09 改名）一键双击安装，含全部依赖打包，零配置，适合非开发者用户。手动 JSON 适合自定义服务器 \u002F 环境变量 \u002F 私有 MCP \u002F 复杂参数。日常生产工具用 .mcpb，定制 \u002F debug 用 JSON。Connectors 面板在 + 菜单里浏览主流 server。",{"q":1339,"a":1340},"中国大陆能用吗？","需要自备网络环境访问 claude.ai；支付不支持中国大陆 \u002F 港澳信用卡，企业订阅要走海外法人 \u002F 海外卡。MCP 本地工具完全可用（filesystem \u002F sqlite \u002F shell）。建议国内项目走 OpenRouter \u002F 火山引擎 \u002F 智谱（中文场景）+ Claude API 远程调用方案。",{"q":1342,"a":1343},"和 Cursor \u002F VS Code + Continue 怎么选？","Claude Desktop 主打『通用桌面 agent + MCP 生态』，Cursor \u002F VS Code 主打『代码编辑器 + AI』。要在编辑器里写代码 → Cursor；要在桌面打通文件系统 + DB + GitHub + 浏览器自动化做杂活 → Claude Desktop。两个工具互补不冲突。",[697,696,1345],"multi",{},[1348,1349,1350],"macos","windows","linux",[1352,1355,1358,1362,1366,1370],{"plan":843,"price":707,"features":1353,"notes":1354},"基础 Claude Sonnet + MCP 支持 + 有限 message","试水 \u002F 个人轻度",{"plan":849,"price":1155,"features":1356,"notes":1357},"更多 message + Opus 模型 + Projects + 优先速度","个人主力",{"plan":855,"price":1359,"features":1360,"notes":1361},"$100\u002F月","5x Pro 用量 + 早期功能 + 高优先级","重度个人 \u002F 自由职业",{"plan":861,"price":1363,"features":1364,"notes":1365},"$200\u002F月","20x Pro 用量 + research preview 优先","极重度 \u002F Power user",{"plan":867,"price":1367,"features":1368,"notes":1369},"$30\u002Fuser·月","共享 Projects + admin + 用量分配 + 集中计费（最少 5 人）","小团队",{"plan":833,"price":716,"features":1371,"notes":1372},"SSO \u002F SCIM \u002F 审计 \u002F DLP \u002F 私有化数据保留策略","大型组织","Free \u002F Pro $20·月 \u002F Max $100·月 \u002F Max+ $200·月 \u002F Team $30·user·月 \u002F Enterprise",[1375],"onboarding\u002Fmcp-tool-development",{"power":264,"ux":264,"price":250,"cn_support":224,"stability":264},{"title":382,"description":1330},"Claude Desktop 评测 2026：Anthropic 官方桌面客户端，AI 助手本地使用",[1380,1382,1384,1386],{"name":1381,"url":1291,"accessed":732},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt）",{"name":1383,"url":1298,"accessed":732},"Toolradar — Claude Desktop MCP 设置 2026",{"name":1385,"url":1305,"accessed":732},"MCP Playground — 完整 2026 配置指南",{"name":1387,"url":1312,"accessed":732},"Anthropic — Pricing & Plans","tools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Anthropic 官方桌面客户端——原生 MCP 支持 + 一键 .mcpb 扩展安装 + Connectors 面板",[1391,1392,1393,1394,1395],"desktop-agent","mcp","claude","extensions","anthropic","MCP 生态的旗舰桌面客户端——要 Claude Opus \u002F Sonnet + MCP 工具 + 文件系统 \u002F DB \u002F GitHub 集成的开发者首选。中国大陆访问需自备网络 + 不支持中国大陆支付，团队订阅要海外卡。","https:\u002F\u002Fclaude.ai\u002Fdownload","ITa0FIPXbOWoF-MAdRADov6SN4r-QhfWvzH9LuimlMI",{"id":1400,"title":1401,"alternatives":1402,"api_compatible":16,"body":1406,"category":677,"chinese_friendly":250,"cover":2108,"description":2109,"domestic":680,"extension":681,"faq":2110,"free":680,"github":16,"languages":2123,"lastVerified":16,"meta":2124,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":1280,"pillar":700,"platforms":2125,"priceTable":2129,"pricing":2133,"published":720,"relatedPlaybooks":2134,"relatedReviews":16,"score":2136,"self_host":253,"seo":2137,"seoTitle":2138,"slug":754,"sources":2139,"stem":2148,"suitable":16,"tagline":2149,"tags":2150,"updated":732,"verdict":2156,"website":2070,"__hash__":2157},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush.md","Crush",[1403,1404,1405],"coding\u002Fcli\u002Fclaude-code","coding\u002Fcli\u002Faider","coding\u002Fcli\u002Fcodex",{"type":18,"value":1407,"toc":2096},[1408,1410,1413,1416,1418,1483,1485,1495,1500,1504,1508,1531,1535,1565,1567,1690,1695,1776,1778,1947,1949,2011,2013,2039,2041,2061,2063,2093],[21,1409,24],{"id":23},[26,1411,1412],{},"Crush 是 Charmbracelet 2025-07 发布的终端 AI 编程 agent，Go 编写、TUI 体验、24,700+ GitHub stars、160+ releases。差异点：mid-session 多模型切换（Anthropic \u002F OpenAI \u002F Gemini \u002F Bedrock \u002F Groq \u002F OpenRouter \u002F Azure \u002F Vertex \u002F Ollama \u002F LM Studio \u002F Z.AI 等数十家）+ LSP 集成 + MCP（stdio\u002FHTTP\u002FSSE）+ Agent Skills 标准 + SQLite session 持久化 + AGENTS.md 项目上下文。FSL-1.1-MIT 开源（2 年后转 MIT），全平台二进制（macOS \u002F Linux \u002F Windows \u002F WSL \u002F FreeBSD \u002F OpenBSD \u002F NetBSD \u002F Android）。",[26,1414,1415],{},"适合：终端控 \u002F SSH 远程开发 \u002F 不想离开命令行的工程师；要在多个 LLM 间灵活切换；用 Ollama \u002F LM Studio 本地模型；颜值 + 功能都不愿妥协的 power user。不适合：纯 GUI \u002F IDE 党（Cursor 更顺）；要 Anthropic 官方 Skills 生态深度（用 Claude Code）；企业商业竞品场景（FSL 协议有限制）。",[21,1417,34],{"id":34},[36,1419,1420,1426,1432,1438,1444,1450,1456,1462,1468,1474],{},[39,1421,1422,1425],{},[42,1423,1424],{},"多模型 mid-session 切换","：不重启 session 切 Claude \u002F GPT \u002F Gemini \u002F Groq \u002F Bedrock \u002F OpenRouter \u002F Azure \u002F Vertex",[39,1427,1428,1431],{},[42,1429,1430],{},"LSP 集成","：自动发现 + on-demand 启动，context-aware 代码理解",[39,1433,1434,1437],{},[42,1435,1436],{},"MCP 支持","：stdio \u002F HTTP \u002F SSE 三种 transport",[39,1439,1440,1443],{},[42,1441,1442],{},"Agent Skills 标准","：内置 skill discovery",[39,1445,1446,1449],{},[42,1447,1448],{},"AGENTS.md","：项目级 context 文件",[39,1451,1452,1455],{},[42,1453,1454],{},"SQLite session 持久化","：history navigation + 多会话隔离",[39,1457,1458,1461],{},[42,1459,1460],{},"桌面通知","：权限确认 + agent turn 完成提醒",[39,1463,1464,1467],{},[42,1465,1466],{},"跨平台二进制","：macOS + Linux + Windows（PowerShell + WSL）+ FreeBSD + OpenBSD + NetBSD + Android",[39,1469,1470,1473],{},[42,1471,1472],{},"Charm 生态","：Bubble Tea TUI + Lip Gloss 样式 + Glamour markdown + Bubbles 组件 + Fantasy LLM 抽象",[39,1475,1476,1482],{},[42,1477,1478,1481],{},[204,1479,1480],{},"@charmland\u002Fcrush"," NPM 包","：跨平台一键安装",[21,1484,108],{"id":108},[36,1486,1487,1492],{},[39,1488,1489,1491],{},[42,1490,843],{},"：$0；FSL-1.1-MIT（2 年后转 MIT）",[39,1493,1494],{},"真实成本 = LLM API 费用（自带 key）",[130,1496,1497],{},[26,1498,1499],{},"省钱组合：日常用 Ollama 本地 7B \u002F 13B 跑简单任务；难任务切 Claude Sonnet \u002F GPT-5 \u002F Z.AI GLM Coding。",[21,1501,1503],{"id":1502},"实测终端主力-macos-linux-ssh","实测（终端主力 \u002F macOS + Linux SSH）",[26,1505,1506],{},[42,1507,143],{},[36,1509,1510,1513,1516,1519,1522,1525,1528],{},[39,1511,1512],{},"TUI 颜值在终端 agent 里独一档，Bubble Tea 的丝滑动效",[39,1514,1515],{},"mid-session 切模型在『Claude 推理够用 → GPT 思考 hard task → Gemini Flash 跑批 commit 文档』场景极有用",[39,1517,1518],{},"LSP 集成对 Go \u002F Rust \u002F TS \u002F Python 大型项目特别管用",[39,1520,1521],{},"MCP 三种 transport 覆盖几乎所有用例",[39,1523,1524],{},"AGENTS.md 让项目级 prompt 不丢",[39,1526,1527],{},"SQLite 多 session 隔离干净",[39,1529,1530],{},"跨平台二进制保留 SSH + 远程开发用户",[26,1532,1533],{},[42,1534,168],{},[36,1536,1537,1540,1543,1546,1549,1552,1555,1562],{},[39,1538,1539],{},"FSL-1.1-MIT 不是 OSI 标准开源，企业法务要审一遍",[39,1541,1542],{},"自带 API Key，新手要先准备至少一家 provider",[39,1544,1545],{},"~22MB+ 二进制 + Go runtime + SQLite，比 aider 重",[39,1547,1548],{},"仅 TUI，没 IDE 插件 \u002F web UI",[39,1550,1551],{},"160+ releases 节奏快，breaking change 偶发",[39,1553,1554],{},"中文 prompt 效果取决于底层模型，UI 文档英文为主",[39,1556,1557,1558,1561],{},"多模型 routing 默认策略可能不省钱，手动配 ",[204,1559,1560],{},"crush.json"," 更精细",[39,1563,1564],{},"Windows 原生 PowerShell 偶有渲染问题，WSL 体验更好",[21,1566,936],{"id":936},[197,1568,1570],{"className":199,"code":1569,"language":201,"meta":202,"style":202},"# macOS\nbrew install charmbracelet\u002Ftap\u002Fcrush\n\n# 跨平台 NPM\nnpm install -g @charmland\u002Fcrush\n\n# Go 直装\ngo install github.com\u002Fcharmbracelet\u002Fcrush@latest\n\n# 配置 API Key（任选）\nexport ANTHROPIC_API_KEY=\"sk-ant-...\"\nexport OPENAI_API_KEY=\"sk-...\"\n\n# 启动\ncrush\n\n# Ctrl+P → Switch Model 切换；Ctrl+S 切 session；输入 \u002Fhelp 看命令\n",[204,1571,1572,1577,1587,1591,1596,1609,1613,1618,1628,1632,1637,1651,1663,1667,1673,1679,1684],{"__ignoreMap":202},[207,1573,1574],{"class":209,"line":210},[207,1575,1576],{"class":260},"# macOS\n",[207,1578,1579,1582,1584],{"class":209,"line":224},[207,1580,1581],{"class":213},"brew",[207,1583,241],{"class":217},[207,1585,1586],{"class":217}," charmbracelet\u002Ftap\u002Fcrush\n",[207,1588,1589],{"class":209,"line":250},[207,1590,254],{"emptyLinePlaceholder":253},[207,1592,1593],{"class":209,"line":257},[207,1594,1595],{"class":260},"# 跨平台 NPM\n",[207,1597,1598,1601,1603,1606],{"class":209,"line":264},[207,1599,1600],{"class":213},"npm",[207,1602,241],{"class":217},[207,1604,1605],{"class":227}," -g",[207,1607,1608],{"class":217}," @charmland\u002Fcrush\n",[207,1610,1611],{"class":209,"line":276},[207,1612,254],{"emptyLinePlaceholder":253},[207,1614,1615],{"class":209,"line":281},[207,1616,1617],{"class":260},"# Go 直装\n",[207,1619,1620,1623,1625],{"class":209,"line":287},[207,1621,1622],{"class":213},"go",[207,1624,241],{"class":217},[207,1626,1627],{"class":217}," github.com\u002Fcharmbracelet\u002Fcrush@latest\n",[207,1629,1630],{"class":209,"line":321},[207,1631,254],{"emptyLinePlaceholder":253},[207,1633,1634],{"class":209,"line":326},[207,1635,1636],{"class":260},"# 配置 API Key（任选）\n",[207,1638,1639,1642,1645,1648],{"class":209,"line":332},[207,1640,1641],{"class":306},"export",[207,1643,1644],{"class":234}," ANTHROPIC_API_KEY",[207,1646,1647],{"class":306},"=",[207,1649,1650],{"class":217},"\"sk-ant-...\"\n",[207,1652,1653,1655,1658,1660],{"class":209,"line":344},[207,1654,1641],{"class":306},[207,1656,1657],{"class":234}," OPENAI_API_KEY",[207,1659,1647],{"class":306},[207,1661,1662],{"class":217},"\"sk-...\"\n",[207,1664,1665],{"class":209,"line":355},[207,1666,254],{"emptyLinePlaceholder":253},[207,1668,1670],{"class":209,"line":1669},14,[207,1671,1672],{"class":260},"# 启动\n",[207,1674,1676],{"class":209,"line":1675},15,[207,1677,1678],{"class":213},"crush\n",[207,1680,1682],{"class":209,"line":1681},16,[207,1683,254],{"emptyLinePlaceholder":253},[207,1685,1687],{"class":209,"line":1686},17,[207,1688,1689],{"class":260},"# Ctrl+P → Switch Model 切换；Ctrl+S 切 session；输入 \u002Fhelp 看命令\n",[26,1691,1692,1694],{},[204,1693,1560],{}," 加 Z.AI GLM Coding Plan 自定义 provider：",[197,1696,1698],{"className":957,"code":1697,"language":959,"meta":202,"style":202},"{\n  \"providers\": {\n    \"zai\": {\n      \"id\": \"zai\",\n      \"name\": \"ZAI Provider\",\n      \"base_url\": \"https:\u002F\u002Fapi.z.ai\u002Fapi\u002Fcoding\u002Fpaas\u002Fv4\",\n      \"api_key\": \"your_api_key\"\n    }\n  }\n}\n",[204,1699,1700,1704,1711,1718,1730,1742,1754,1764,1768,1772],{"__ignoreMap":202},[207,1701,1702],{"class":209,"line":210},[207,1703,966],{"class":234},[207,1705,1706,1709],{"class":209,"line":224},[207,1707,1708],{"class":227},"  \"providers\"",[207,1710,974],{"class":234},[207,1712,1713,1716],{"class":209,"line":250},[207,1714,1715],{"class":227},"    \"zai\"",[207,1717,974],{"class":234},[207,1719,1720,1723,1725,1728],{"class":209,"line":257},[207,1721,1722],{"class":227},"      \"id\"",[207,1724,989],{"class":234},[207,1726,1727],{"class":217},"\"zai\"",[207,1729,995],{"class":234},[207,1731,1732,1735,1737,1740],{"class":209,"line":264},[207,1733,1734],{"class":227},"      \"name\"",[207,1736,989],{"class":234},[207,1738,1739],{"class":217},"\"ZAI Provider\"",[207,1741,995],{"class":234},[207,1743,1744,1747,1749,1752],{"class":209,"line":276},[207,1745,1746],{"class":227},"      \"base_url\"",[207,1748,989],{"class":234},[207,1750,1751],{"class":217},"\"https:\u002F\u002Fapi.z.ai\u002Fapi\u002Fcoding\u002Fpaas\u002Fv4\"",[207,1753,995],{"class":234},[207,1755,1756,1759,1761],{"class":209,"line":281},[207,1757,1758],{"class":227},"      \"api_key\"",[207,1760,989],{"class":234},[207,1762,1763],{"class":217},"\"your_api_key\"\n",[207,1765,1766],{"class":209,"line":287},[207,1767,1025],{"class":234},[207,1769,1770],{"class":209,"line":321},[207,1771,1030],{"class":234},[207,1773,1774],{"class":209,"line":326},[207,1775,1035],{"class":234},[21,1777,364],{"id":364},[366,1779,1780,1797],{},[369,1781,1782],{},[372,1783,1784,1786,1788,1791,1794],{},[375,1785,377],{},[375,1787,1401],{},[375,1789,1790],{},"Claude Code",[375,1792,1793],{},"Aider",[375,1795,1796],{},"Codex CLI",[390,1798,1799,1816,1833,1846,1860,1875,1887,1902,1916,1931],{},[372,1800,1801,1804,1807,1810,1813],{},[395,1802,1803],{},"TUI 颜值",[395,1805,1806],{},"✅ 顶级",[395,1808,1809],{},"✅ 良好",[395,1811,1812],{},"文本朴素",[395,1814,1815],{},"一般",[372,1817,1818,1821,1824,1827,1830],{},[395,1819,1820],{},"多模型切换",[395,1822,1823],{},"✅ mid-session",[395,1825,1826],{},"Claude only",[395,1828,1829],{},"✅ 任意",[395,1831,1832],{},"OpenAI only",[372,1834,1835,1838,1840,1842,1844],{},[395,1836,1837],{},"LSP",[395,1839,1100],{},[395,1841,437],{},[395,1843,437],{},[395,1845,437],{},[372,1847,1848,1851,1854,1856,1858],{},[395,1849,1850],{},"MCP",[395,1852,1853],{},"✅ 全 transport",[395,1855,1853],{},[395,1857,437],{},[395,1859,440],{},[372,1861,1862,1865,1868,1871,1873],{},[395,1863,1864],{},"Skills",[395,1866,1867],{},"✅ 标准",[395,1869,1870],{},"✅ Skills 体系",[395,1872,437],{},[395,1874,437],{},[372,1876,1877,1879,1881,1883,1885],{},[395,1878,1448],{},[395,1880,1100],{},[395,1882,1100],{},[395,1884,437],{},[395,1886,437],{},[372,1888,1889,1892,1895,1897,1900],{},[395,1890,1891],{},"协议",[395,1893,1894],{},"FSL-1.1-MIT",[395,1896,420],{},[395,1898,1899],{},"Apache 2.0",[395,1901,420],{},[372,1903,1904,1906,1909,1911,1914],{},[395,1905,397],{},[395,1907,1908],{},"极广",[395,1910,406],{},[395,1912,1913],{},"全平台",[395,1915,406],{},[372,1917,1918,1920,1923,1926,1928],{},[395,1919,1152],{},[395,1921,1922],{},"$0 + API 费",[395,1924,1925],{},"API 费 \u002F Pro",[395,1927,1922],{},[395,1929,1930],{},"API 费 \u002F Plus",[372,1932,1933,1935,1938,1941,1944],{},[395,1934,506],{},[395,1936,1937],{},"终端 + 多模型 + Power user",[395,1939,1940],{},"Anthropic 生态",[395,1942,1943],{},"Git refactor",[395,1945,1946],{},"OpenAI 生态",[21,1948,521],{"id":521},[36,1950,1951,1957,1969,1975,1981,1987,1993,1999,2005],{},[39,1952,1953,1956],{},[42,1954,1955],{},"FSL 协议商业审查","：商业竞品场景前法务过一遍，2 年后转 MIT",[39,1958,1959,1962,1963,1966,1967],{},[42,1960,1961],{},"API Key 管理","：用 ",[204,1964,1965],{},"pass"," \u002F 1Password CLI \u002F direnv，不硬编码 ",[204,1968,1560],{},[39,1970,1971,1974],{},[42,1972,1973],{},"breaking change 跟进","：160+ releases 节奏快，pin 版本到 stable",[39,1976,1977,1980],{},[42,1978,1979],{},"LSP 启动慢","：大项目首次启动数秒，正常现象",[39,1982,1983,1986],{},[42,1984,1985],{},"Ollama 本地优先","：日常简单任务跑 7B，复杂任务再切云",[39,1988,1989,1992],{},[42,1990,1991],{},"Windows 用 WSL","：原生 PowerShell 有 ANSI 渲染坑",[39,1994,1995,1998],{},[42,1996,1997],{},"AGENTS.md 写好","：项目 context 决定 80% 体验，按官方模板写",[39,2000,2001,2004],{},[42,2002,2003],{},"session 切换勤快点","：不同任务开不同 session，history 干净",[39,2006,2007,2010],{},[42,2008,2009],{},"MCP server 信任评估","：装新 MCP 前看 source \u002F 权限",[21,2012,575],{"id":574},[36,2014,2015,2018,2021,2024,2027,2030,2033,2036],{},[39,2016,2017],{},"✅ 终端主力 \u002F SSH 远程开发",[39,2019,2020],{},"✅ 多模型用户（Claude + GPT + Gemini + Ollama 一起用）",[39,2022,2023],{},"✅ Go \u002F Rust \u002F TS \u002F Python 大型项目（LSP 加成大）",[39,2025,2026],{},"✅ 不想被单一 vendor 绑定",[39,2028,2029],{},"❌ 纯 GUI \u002F IDE 党",[39,2031,2032],{},"❌ 要 Anthropic 官方 Skills 体系（用 Claude Code）",[39,2034,2035],{},"❌ 要 OpenAI 桌面深度（用 Codex）",[39,2037,2038],{},"❌ 商业竞品 \u002F 法务严格场景（FSL 协议要审）",[21,2040,604],{"id":604},[36,2042,2043,2049,2055],{},[39,2044,2045],{},[610,2046,2048],{"href":2047},"\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code","Claude Code 评测",[39,2050,2051],{},[610,2052,2054],{"href":2053},"\u002Ftools\u002Fcoding\u002Fcli\u002Faider","Aider 评测",[39,2056,2057],{},[610,2058,2060],{"href":2059},"\u002Ftools\u002Fcoding\u002Fcli\u002Fcodex","Codex 评测",[21,2062,628],{"id":628},[630,2064,2065,2072,2079,2086],{},[39,2066,2067,2068],{},"Charmbracelet\u002Fcrush GitHub（24.7k stars \u002F 160 releases \u002F FSL-1.1-MIT）",[610,2069,2070],{"href":2070,"rel":2071},"https:\u002F\u002Fgithub.com\u002Fcharmbracelet\u002Fcrush",[639],[39,2073,2074,2075],{},"Artificialus — Crush 评测 2026 ",[610,2076,2077],{"href":2077,"rel":2078},"https:\u002F\u002Fartificialus.com\u002Fagents\u002Fcrush",[639],[39,2080,2081,2082],{},"Typevar — Crush 入门 + 安装 ",[610,2083,2084],{"href":2084,"rel":2085},"https:\u002F\u002Ftypevar.dev\u002Farticles\u002Fcharmbracelet\u002Fcrush",[639],[39,2087,2088,2089],{},"Z.AI Devpack — Crush + GLM Coding Plan 集成 ",[610,2090,2091],{"href":2091,"rel":2092},"https:\u002F\u002Fdocs.z.ai\u002Fdevpack\u002Ftool\u002Fcrush",[639],[662,2094,2095],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":2097},[2098,2099,2100,2101,2102,2103,2104,2105,2106,2107],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":1502,"depth":224,"text":1503},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcrush.webp","Crush 真实评测：Charmbracelet 2025-07 发布的 Go 编写终端 TUI AI agent。GitHub 24,700+ stars \u002F 160+ releases。多模型 session 内切换（Anthropic \u002F OpenAI \u002F Gemini \u002F Bedrock \u002F Groq \u002F OpenRouter \u002F Ollama \u002F LM Studio 等数十家）+ LSP 集成 + MCP（stdio\u002FHTTP\u002FSSE）+ Agent Skills 标准 + SQLite session 持久化 + AGENTS.md 项目上下文。FSL-1.1-MIT 协议（2 年后转 MIT）。Windows PowerShell + WSL + macOS + Linux + FreeBSD + Android 全平台。",[2111,2114,2117,2120],{"q":2112,"a":2113},"Crush 和 Claude Code \u002F Aider \u002F Codex 怎么选？","Crush 强在『终端原生 TUI 颜值 + 多模型 mid-session 切换 + LSP + 跨平台二进制 + 不绑特定模型』；Claude Code 强在『Anthropic 官方 + Skills 生态 + computer use』；Aider 强在『Git 集成 + 多文件 refactor + 模型成本最优』；Codex 强在『OpenAI 官方 + 桌面集成 + Mac 体验最佳』。要终端 + 多模型 + LSP 体验 → Crush；要 Claude 全家桶 → Claude Code；要 Git refactor → Aider；要 OpenAI + macOS → Codex。",{"q":2115,"a":2116},"FSL-1.1-MIT 是什么协议？","Functional Source License 1.1：禁止商业竞品场景使用，2 年后自动转为 MIT 完全开放。对个人 \u002F 内部使用 \u002F 学习无影响，企业级商业竞品要看条款。社区有声音质疑这不是『OSI 标准开源』，使用前企业法务建议过一下。",{"q":2118,"a":2119},"用什么模型最划算？","Crush 不绑定模型，常见组合：Anthropic Claude Sonnet（日常 coding，性价比平衡）+ GPT-5.x（推理重任务）+ Gemini Flash（速度优先）+ Ollama \u002F LM Studio（本地 free）+ Z.AI GLM Coding Plan（中文 + 价格低）。多账户 + OpenRouter 中转管理最方便。",{"q":2121,"a":2122},"配置文件在哪？","macOS\u002FLinux：~\u002F.config\u002Fcrush\u002Fcrush.json；Windows：%USERPROFILE%\\.config\\crush\\crush.json。可加自定义 provider（如 Z.AI Coding Plan 用 https:\u002F\u002Fapi.z.ai\u002Fapi\u002Fcoding\u002Fpaas\u002Fv4）+ MCP server + Skills 配置。",[697],{},[1348,1350,1349,2126,2127,2128,702],"freebsd","openbsd","netbsd",[2130],{"plan":843,"price":707,"features":2131,"notes":2132},"FSL-1.1-MIT 开源（2 年后转 MIT）+ 多模型 + LSP + MCP + Skills + 全平台二进制","用户自带 LLM API Key","免费开源（FSL-1.1-MIT，2 年后转 MIT）\u002F 用户自带 LLM API Key",[2135],"onboarding\u002Fterminal-ai-agent-workflow",{"power":264,"ux":264,"price":264,"cn_support":250,"stability":257},{"title":1401,"description":2109},"Crush - 终端 AI 编程 Agent 评测与使用指南 | AIHO",[2140,2142,2144,2146],{"name":2141,"url":2070,"accessed":732},"Charmbracelet\u002Fcrush GitHub（24.7k stars \u002F 160 releases）",{"name":2143,"url":2077,"accessed":732},"Artificialus — Crush 评测（功能 \u002F 协议 \u002F 平台覆盖）",{"name":2145,"url":2084,"accessed":732},"Typevar — Crush 入门 + 使用场景",{"name":2147,"url":2091,"accessed":732},"Z.AI Devpack — Crush + GLM Coding Plan","tools\u002Fagent\u002Fdesktop\u002Fcrush","Charmbracelet 出品的终端 AI 编程 agent——多模型切换 + LSP + MCP + Agent Skills 标准",[2151,2152,2153,2154,1392,745,2155],"terminal-agent","tui","multi-model","lsp","charmbracelet","终端原生 AI agent 的标杆——TUI 颜值 + 多模型切换 + LSP + MCP + Skills 全栈。终端控 \u002F 远程开发 \u002F SSH 工作流首选。GUI \u002F IDE 党仍建议 Cursor \u002F Claude Code。","JcyUrJjhnK2gOOQhly1BuvX9VyfJTsgOqiPPOlkUG_s",{"id":2159,"title":2160,"alternatives":2161,"api_compatible":16,"body":2163,"category":677,"chinese_friendly":224,"cover":2634,"description":2635,"domestic":680,"extension":681,"faq":16,"free":680,"github":2618,"languages":2636,"lastVerified":2637,"meta":2638,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":2639,"pillar":700,"platforms":2640,"priceTable":16,"pricing":2641,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":2643,"self_host":680,"seo":2644,"seoTitle":2645,"slug":2646,"sources":2647,"stem":2650,"suitable":16,"tagline":2651,"tags":2652,"updated":2637,"verdict":2655,"website":2611,"__hash__":2656},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopen-interpreter.md","Open Interpreter",[13,2162,14],"agent\u002Fgeneral\u002Fopenmanus",{"type":18,"value":2164,"toc":2621},[2165,2167,2174,2177,2179,2233,2235,2238,2242,2251,2255,2278,2282,2302,2304,2341,2343,2466,2468,2518,2520,2549,2553,2559,2565,2575,2581,2583,2598,2600,2605],[21,2166,24],{"id":23},[26,2168,2169,2170,2173],{},"Open Interpreter 是一个开源的本地代码执行 Agent（AGPL 协议），让 LLM 直接在你的终端里写代码、跑代码、读写文件、执行系统命令、操控浏览器。它不像 ChatGPT 那样在沙箱里跑代码——它在你真实的机器上执行，有完整的系统权限。支持 GPT-4 \u002F Claude \u002F 本地模型（Ollama \u002F LM Studio），Python 实现，",[204,2171,2172],{},"pip install"," 即用。",[26,2175,2176],{},"适合：技术用户做本地自动化（批量文件处理、数据分析、系统管理）、探索性编程（让 AI 跑代码看结果再迭代）、原型开发。不适合：生产环境（稳定性不够）、非技术用户（安全风险高）、敏感数据环境（LLM 能读你所有文件）、商业闭源项目（AGPL 传染性协议）。",[21,2178,34],{"id":34},[36,2180,2181,2187,2193,2199,2205,2211,2217,2227],{},[39,2182,2183,2186],{},[42,2184,2185],{},"本地代码执行","：LLM 生成 Python \u002F JS \u002F Shell 代码，直接在你的机器上跑，看到真实输出",[39,2188,2189,2192],{},[42,2190,2191],{},"文件系统操作","：读写文件、创建目录、搜索文件内容、批量重命名，完整的文件系统访问",[39,2194,2195,2198],{},[42,2196,2197],{},"系统命令执行","：跑任意 shell 命令——安装软件、配置环境、管理进程、操作系统",[39,2200,2201,2204],{},[42,2202,2203],{},"浏览器控制","：通过 Playwright \u002F Selenium 操控浏览器，自动化网页操作、数据抓取",[39,2206,2207,2210],{},[42,2208,2209],{},"多模型支持","：OpenAI \u002F Anthropic \u002F Google \u002F Ollama \u002F LM Studio \u002F 任何 OpenAI 兼容端点",[39,2212,2213,2216],{},[42,2214,2215],{},"交互式 REPL","：终端对话式交互，自然语言描述任务，Agent 自主分解 + 执行 + 反馈",[39,2218,2219,2222,2223,2226],{},[42,2220,2221],{},"执行确认机制","：每步代码执行前可选确认（",[204,2224,2225],{},"--auto_run"," 跳过），防止误操作",[39,2228,2229,2232],{},[42,2230,2231],{},"多语言执行","：不限于 Python——JS、Shell、R、Ruby 等按需切换",[21,2234,108],{"id":108},[26,2236,2237],{},"完全免费，AGPL-3.0 开源。成本在于 LLM API 调用费（用 GPT-4 \u002F Claude）或本地模型硬件成本（用 Ollama 免费）。",[21,2239,2241],{"id":2240},"体验与评测资料整理","体验与评测（资料整理）",[130,2243,2244],{},[26,2245,2246,2247,2250],{},"说明：本节基于官方文档与公开评测整理，非本站独立实测环境，具体数据请以官方为准。\n",[42,2248,2249],{},"典型场景","：自动化文件处理、数据分析、本地脚本执行等任务（配云 API 或本地 Ollama 均可，硬件门槛低）。",[26,2252,2253],{},[42,2254,143],{},[36,2256,2257,2263,2266,2269,2272,2275],{},[39,2258,2259,2262],{},[204,2260,2261],{},"interpreter"," 一行启动，配 API key 即用，对话式交互体验流畅",[39,2264,2265],{},"让它「把这个文件夹所有 CSV 合并去重，按日期排序，生成图表」——写 Python → 跑 → 看报错 → 改 → 再跑，全自主完成",[39,2267,2268],{},"文件操作强——搜索、批量重命名、格式转换，比手写脚本快",[39,2270,2271],{},"数据分析场景好用——让它读 Excel、清洗数据、画 matplotlib 图，迭代式探索很方便",[39,2273,2274],{},"配 Ollama 本地模型完全离线运行，隐私敏感任务不碰云",[39,2276,2277],{},"浏览器自动化——让它打开网页、填表、截图，比手动写 Playwright 脚本快",[26,2279,2280],{},[42,2281,168],{},[36,2283,2284,2287,2290,2293,2296,2299],{},[39,2285,2286],{},"安全风险是最大问题——LLM 能跑任意命令，一次让它「清理临时文件」差点删了项目目录，幸好有确认机制拦住",[39,2288,2289],{},"稳定性一般——复杂任务偶尔死循环（反复跑失败代码）、MCP 连接断开、进程卡死",[39,2291,2292],{},"长任务上下文丢失——对话太长后 Agent 忘记前面的指令，需要手动提醒",[39,2294,2295],{},"本地模型效果有限——Qwen3 7B 能做简单任务，复杂逻辑推理要上 Claude \u002F GPT-4",[39,2297,2298],{},"AGPL 协议限制商业使用——如果你在公司用且分发，要注意开源传染性问题",[39,2300,2301],{},"Windows 路径问题——部分 Shell 命令在 Windows 有兼容性 bug，Mac \u002F Linux 更稳",[21,2303,936],{"id":936},[630,2305,2306,2312,2323,2329,2332,2338],{},[39,2307,2308,2309],{},"安装：",[204,2310,2311],{},"pip install open-interpreter",[39,2313,2314,2315,2318,2319,2322],{},"配模型：",[204,2316,2317],{},"interpreter --model claude-3-5-sonnet","（或 ",[204,2320,2321],{},"--model ollama\u002Fqwen3-coder:7b"," 用本地）",[39,2324,2325,2326,2328],{},"启动：",[204,2327,2261],{}," 进入交互式 REPL",[39,2330,2331],{},"描述任务：「把 ~\u002FDownloads 所有图片转成 webp，压缩到 80% 质量」",[39,2333,2334,2335,2337],{},"确认执行——每步代码执行前会提示确认（开发阶段别开 ",[204,2336,2225],{},"）",[39,2339,2340],{},"进阶：配自定义工具 \u002F MCP server 扩展 Agent 能力",[21,2342,364],{"id":364},[366,2344,2345,2361],{},[369,2346,2347],{},[372,2348,2349,2351,2353,2355,2358],{},[375,2350,377],{},[375,2352,2160],{},[375,2354,382],{},[375,2356,2357],{},"OpenManus",[375,2359,2360],{},"Devika",[390,2362,2363,2379,2393,2408,2421,2435,2451],{},[372,2364,2365,2368,2371,2374,2377],{},[395,2366,2367],{},"形态",[395,2369,2370],{},"CLI",[395,2372,2373],{},"Desktop App",[395,2375,2376],{},"Web",[395,2378,2376],{},[372,2380,2381,2383,2386,2388,2391],{},[395,2382,414],{},[395,2384,2385],{},"✅ AGPL",[395,2387,426],{},[395,2389,2390],{},"✅ Apache 2.0",[395,2392,423],{},[372,2394,2395,2398,2401,2404,2406],{},[395,2396,2397],{},"代码执行",[395,2399,2400],{},"✅ 本地真实",[395,2402,2403],{},"✅ 沙箱",[395,2405,2403],{},[395,2407,2403],{},[372,2409,2410,2412,2414,2417,2419],{},[395,2411,2203],{},[395,2413,1100],{},[395,2415,2416],{},"✅ Computer Use",[395,2418,1100],{},[395,2420,1100],{},[372,2422,2423,2426,2429,2431,2433],{},[395,2424,2425],{},"本地模型",[395,2427,2428],{},"✅ Ollama",[395,2430,426],{},[395,2432,1100],{},[395,2434,1100],{},[372,2436,2437,2440,2443,2446,2449],{},[395,2438,2439],{},"安全性",[395,2441,2442],{},"⚠️ 低（真实执行）",[395,2444,2445],{},"✅ 高（沙箱）",[395,2447,2448],{},"✅ 高",[395,2450,2448],{},[372,2452,2453,2456,2459,2462,2464],{},[395,2454,2455],{},"稳定性",[395,2457,2458],{},"中",[395,2460,2461],{},"高",[395,2463,2458],{},[395,2465,2458],{},[21,2467,521],{"id":521},[36,2469,2470,2479,2489,2495,2501,2507,2513],{},[39,2471,2472,2475,2476,2478],{},[42,2473,2474],{},"一定要开确认机制","：默认每步执行前确认，别图省事开 ",[204,2477,2225],{},"，LLM 误删文件的代价远大于点几下确认",[39,2480,2481,2484,2485,2488],{},[42,2482,2483],{},"别在生产服务器跑","：Open Interpreter 有完整系统权限，LLM 幻觉可能跑出 ",[204,2486,2487],{},"rm -rf"," \u002F 覆盖配置文件等灾难操作",[39,2490,2491,2494],{},[42,2492,2493],{},"敏感数据隔离","：LLM 能读你所有文件，处理含密钥 \u002F 密码 \u002F 用户数据的环境要慎重，建议在 Docker 容器里跑",[39,2496,2497,2500],{},[42,2498,2499],{},"长任务分段","：对话超过 20-30 轮后上下文退化，复杂任务拆成小段，每段确认结果再继续",[39,2502,2503,2506],{},[42,2504,2505],{},"本地模型别期望太高","：7B\u002F14B 模型能做文件操作和简单脚本，复杂逻辑推理和调试要上 Claude \u002F GPT-4",[39,2508,2509,2512],{},[42,2510,2511],{},"AGPL 协议注意","：商业项目分发时 AGPL 有传染性，内部使用没问题，分发 \u002F SaaS 化要咨询法务",[39,2514,2515,2517],{},[42,2516,1991],{},"：原生 Windows 有路径 \u002F 权限 \u002F Shell 兼容问题，WSL 下体验一致",[21,2519,575],{"id":574},[36,2521,2522,2525,2528,2531,2534,2537,2540,2543,2546],{},[39,2523,2524],{},"✅ 技术用户做本地自动化（文件批处理、数据分析、系统管理）",[39,2526,2527],{},"✅ 探索性编程（让 AI 跑代码看结果再迭代）",[39,2529,2530],{},"✅ 原型开发 \u002F 快速脚本生成",[39,2532,2533],{},"✅ 想用本地模型（Ollama）做隐私敏感的自动化",[39,2535,2536],{},"✅ 学习 \u002F 研究本地 Agent 架构",[39,2538,2539],{},"❌ 生产环境（稳定性不够 + 安全风险高）",[39,2541,2542],{},"❌ 非技术用户（误操作风险大，确认机制需要判断力）",[39,2544,2545],{},"❌ 敏感数据环境（LLM 能访问所有文件）",[39,2547,2548],{},"❌ 商业闭源项目分发（AGPL 传染性协议）",[21,2550,2552],{"id":2551},"faq","FAQ",[26,2554,2555,2558],{},[42,2556,2557],{},"Q: Open Interpreter 安全吗？","\nA: 本身不安全——它在你真实机器上执行任意代码，LLM 幻觉可能导致误删文件 \u002F 执行危险命令。缓解措施：开确认机制、在 Docker 容器跑、别给 root 权限、敏感数据隔离。生产环境不推荐。",[26,2560,2561,2564],{},[42,2562,2563],{},"Q: 和 Claude Desktop 的 Computer Use 区别？","\nA: Claude Desktop 在沙箱虚拟机里操作，安全隔离好。Open Interpreter 在你真实机器上执行，能力更强但风险更高。追求安全选 Claude Desktop，追求能力和免费选 Open Interpreter。",[26,2566,2567,2570,2571,2574],{},[42,2568,2569],{},"Q: 能用本地模型吗？","\nA: 可以。",[204,2572,2573],{},"interpreter --model ollama\u002Fqwen3-coder:7b"," 即用 Ollama 本地模型，完全不碰云 API。简单任务（文件操作、基础脚本）够用，复杂推理和调试建议上 Claude \u002F GPT-4。",[26,2576,2577,2580],{},[42,2578,2579],{},"Q: 和 AutoGPT \u002F BabyAGI 区别？","\nA: AutoGPT \u002F BabyAGI 偏「自主规划 + 工具调用」的通用 Agent，工具链固定。Open Interpreter 偏「代码执行」——它通过写代码来完成任务，灵活性更高（任何能写代码实现的都能做），但安全风险也更高。",[21,2582,604],{"id":604},[26,2584,2585,2589,2590,2589,2594],{},[610,2586,2588],{"href":2587},"\u002Fcoding\u002Flocal\u002Fjan.html","Jan"," · ",[610,2591,2593],{"href":2592},"\u002Fcoding\u002Flocal\u002Fgpt4all.html","GPT4All",[610,2595,2597],{"href":2596},"\u002Fcoding\u002Flocal\u002Fvllm.html","vLLM",[21,2599,628],{"id":628},[130,2601,2602],{},[26,2603,2604],{},"本文的价格、版本号与性能数据均参考以下官方渠道整理，可能随时间变动，请以官方实时信息为准。",[36,2606,2607,2614],{},[39,2608,2609],{},[610,2610,2613],{"href":2611,"rel":2612},"https:\u002F\u002Fopeninterpreter.com",[639],"官网",[39,2615,2616],{},[610,2617,2620],{"href":2618,"rel":2619},"https:\u002F\u002Fgithub.com\u002FOpenInterpreter\u002Fopen-interpreter",[639],"GitHub",{"title":202,"searchDepth":250,"depth":250,"links":2622},[2623,2624,2625,2626,2627,2628,2629,2630,2631,2632,2633],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopen-interpreter.webp","Open Interpreter 真实评测：开源本地代码执行 Agent（AGPL 协议），让 LLM 在终端直接跑 Python\u002FJS\u002FShell 代码，操控浏览器、读写文件、执行系统命令。支持 GPT-4\u002FClaude\u002F本地模型，适合需要 LLM 实时操作本地环境的开发者。",[697],"2026-07-30",{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopen-interpreter",[1349,1348,1350],"Free \u002F 开源（AGPL）","2026-07-05",{"power":257,"ux":250,"price":264,"cn_support":224,"stability":250},{"title":2160,"description":2635},"Open Interpreter - 本地代码执行 Agent 评测 | AIHO","agent\u002Fdesktop\u002Fopen-interpreter",[2648,2649],{"title":2613,"url":2611},{"title":2620,"url":2618},"tools\u002Fagent\u002Fdesktop\u002Fopen-interpreter","本地代码执行 Agent，让 LLM 在你的机器上跑代码",[1391,745,2653,2654,335],"code-execution","local","开创性的本地代码执行 Agent，让 LLM 直接操控你的电脑跑代码、读写文件、操作浏览器，适合技术用户做自动化和探索；安全风险高、稳定性一般，不适合生产环境或非技术用户。","L4JM70girxbUKgBD0dOIoVvQD-2eCVHnpHH7ZtdCUYo",{"id":2658,"title":385,"alternatives":2659,"api_compatible":16,"body":2660,"category":677,"chinese_friendly":257,"cover":3327,"description":3328,"domestic":680,"extension":681,"faq":3329,"free":680,"github":16,"languages":3341,"lastVerified":16,"meta":3342,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":618,"pillar":700,"platforms":3343,"priceTable":3345,"pricing":3349,"published":720,"relatedPlaybooks":3350,"relatedReviews":16,"score":3352,"self_host":253,"seo":3353,"seoTitle":3354,"slug":14,"sources":3355,"stem":3364,"suitable":16,"tagline":3365,"tags":3366,"updated":732,"verdict":3372,"website":3373,"__hash__":3374},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[13,728,754],{"type":18,"value":2661,"toc":3315},[2662,2664,2667,2670,2672,2740,2742,2756,2760,2764,2787,2791,2817,2819,2973,2976,3008,3010,3172,3174,3236,3238,3264,3266,3280,3282,3312],[21,2663,24],{"id":23},[26,2665,2666],{},"OpenClaw 是 2026 现象级开源个人 AI Agent 框架（MIT 协议）——Peter Steinberger 2025 末创建，2026-02 移交开源基金会，60 天 28-35.5 万 GitHub stars 历史级速度。差异点：Gateway 网关连接 20+ IM 平台（Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书）+ 30 分钟 Heartbeat 主动触发 + Cron 调度 + ClawHub 5400+ Skills 市场 + 多 Agent 隔离 + 本地长期记忆。完全自托管，本地 Ollama 模型零成本运行。",[26,2668,2669],{},"适合：要『手机 IM 一句话支使 AI 干活』的 power user；监控告警 \u002F 定时简报 \u002F 邮件分拣 \u002F 浏览器自动化等 7×24 后台场景；数据隐私敏感 + 自托管刚需；中国大陆用户（本地 Ollama 全免费）。不适合：纯 GUI \u002F 桌面交互党（Claude Desktop 更顺）；不会折腾 Node \u002F Docker \u002F WSL 的纯用户；要『一句话就跑通』的非技术用户。",[21,2671,34],{"id":34},[36,2673,2674,2680,2686,2692,2698,2704,2710,2716,2722,2728,2734],{},[39,2675,2676,2679],{},[42,2677,2678],{},"Gateway 多渠道","：Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F MS Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书 + WebChat + 移动 node",[39,2681,2682,2685],{},[42,2683,2684],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[39,2687,2688,2691],{},[42,2689,2690],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[39,2693,2694,2697],{},[42,2695,2696],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[39,2699,2700,2703],{},[42,2701,2702],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[39,2705,2706,2709],{},[42,2707,2708],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[39,2711,2712,2715],{},[42,2713,2714],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[39,2717,2718,2721],{},[42,2719,2720],{},"多 LLM provider","：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[39,2723,2724,2727],{},[42,2725,2726],{},"MCP 兼容","：可调用 MCP server",[39,2729,2730,2733],{},[42,2731,2732],{},"Web Control UI","：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[39,2735,2736,2739],{},[42,2737,2738],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[21,2741,108],{"id":108},[36,2743,2744,2750,2753],{},[39,2745,2746,2749],{},[42,2747,2748],{},"Self-host OSS","：$0；MIT 完全开放",[39,2751,2752],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[39,2754,2755],{},"轻度 $5-10 \u002F 月，中度 $20-30，重度 $50+ —— 全部来自外部 LLM 而非 OpenClaw 本身",[21,2757,2759],{"id":2758},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[26,2761,2762],{},[42,2763,143],{},[36,2765,2766,2769,2772,2775,2778,2781,2784],{},[39,2767,2768],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[39,2770,2771],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[39,2773,2774],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[39,2776,2777],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[39,2779,2780],{},"本地 Ollama 路径让数据 + 隐私完全自主",[39,2782,2783],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[39,2785,2786],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[26,2788,2789],{},[42,2790,168],{},[36,2792,2793,2796,2799,2802,2805,2808,2811,2814],{},[39,2794,2795],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[39,2797,2798],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[39,2800,2801],{},"国内 IM 渠道（微信 \u002F 钉钉 \u002F 飞书）的 plugin 受平台风控影响，账号风险要评估",[39,2803,2804],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[39,2806,2807],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[39,2809,2810],{},"Web Control UI 在大量 session 下渲染偏慢",[39,2812,2813],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[39,2815,2816],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[21,2818,936],{"id":936},[197,2820,2822],{"className":199,"code":2821,"language":201,"meta":202,"style":202},"# 方法一：NPM\nnpm install -g openclaw\nopenclaw --version\n\n# 方法二：Docker\ndocker run -d --name openclaw \\\n  -v ~\u002F.openclaw:\u002Froot\u002F.openclaw \\\n  openclaw\u002Fopenclaw:latest\n\n# 方法三：源码\ngit clone https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\ncd openclaw && npm install && npm run start\n\n# 引导配置（model \u002F channel \u002F 权限）\nopenclaw onboard\n\n# 启动\nopenclaw                 # CLI\nopenclaw dashboard       # Web UI\n",[204,2823,2824,2829,2840,2848,2852,2857,2876,2886,2891,2895,2900,2909,2930,2934,2939,2946,2950,2954,2962],{"__ignoreMap":202},[207,2825,2826],{"class":209,"line":210},[207,2827,2828],{"class":260},"# 方法一：NPM\n",[207,2830,2831,2833,2835,2837],{"class":209,"line":224},[207,2832,1600],{"class":213},[207,2834,241],{"class":217},[207,2836,1605],{"class":227},[207,2838,2839],{"class":217}," openclaw\n",[207,2841,2842,2845],{"class":209,"line":250},[207,2843,2844],{"class":213},"openclaw",[207,2846,2847],{"class":227}," --version\n",[207,2849,2850],{"class":209,"line":257},[207,2851,254],{"emptyLinePlaceholder":253},[207,2853,2854],{"class":209,"line":264},[207,2855,2856],{"class":260},"# 方法二：Docker\n",[207,2858,2859,2862,2865,2868,2871,2874],{"class":209,"line":276},[207,2860,2861],{"class":213},"docker",[207,2863,2864],{"class":217}," run",[207,2866,2867],{"class":227}," -d",[207,2869,2870],{"class":227}," --name",[207,2872,2873],{"class":217}," openclaw",[207,2875,341],{"class":227},[207,2877,2878,2881,2884],{"class":209,"line":281},[207,2879,2880],{"class":227},"  -v",[207,2882,2883],{"class":217}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[207,2885,341],{"class":227},[207,2887,2888],{"class":209,"line":287},[207,2889,2890],{"class":217},"  openclaw\u002Fopenclaw:latest\n",[207,2892,2893],{"class":209,"line":321},[207,2894,254],{"emptyLinePlaceholder":253},[207,2896,2897],{"class":209,"line":326},[207,2898,2899],{"class":260},"# 方法三：源码\n",[207,2901,2902,2904,2906],{"class":209,"line":332},[207,2903,214],{"class":213},[207,2905,218],{"class":217},[207,2907,2908],{"class":217}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[207,2910,2911,2913,2915,2917,2919,2921,2923,2925,2927],{"class":209,"line":344},[207,2912,228],{"class":227},[207,2914,2873],{"class":217},[207,2916,235],{"class":234},[207,2918,1600],{"class":213},[207,2920,241],{"class":217},[207,2922,235],{"class":234},[207,2924,1600],{"class":213},[207,2926,2864],{"class":217},[207,2928,2929],{"class":217}," start\n",[207,2931,2932],{"class":209,"line":355},[207,2933,254],{"emptyLinePlaceholder":253},[207,2935,2936],{"class":209,"line":1669},[207,2937,2938],{"class":260},"# 引导配置（model \u002F channel \u002F 权限）\n",[207,2940,2941,2943],{"class":209,"line":1675},[207,2942,2844],{"class":213},[207,2944,2945],{"class":217}," onboard\n",[207,2947,2948],{"class":209,"line":1681},[207,2949,254],{"emptyLinePlaceholder":253},[207,2951,2952],{"class":209,"line":1686},[207,2953,1672],{"class":260},[207,2955,2957,2959],{"class":209,"line":2956},18,[207,2958,2844],{"class":213},[207,2960,2961],{"class":260},"                 # CLI\n",[207,2963,2965,2967,2970],{"class":209,"line":2964},19,[207,2966,2844],{"class":213},[207,2968,2969],{"class":217}," dashboard",[207,2971,2972],{"class":260},"       # Web UI\n",[26,2974,2975],{},"配本地免费 Ollama：",[197,2977,2979],{"className":199,"code":2978,"language":201,"meta":202,"style":202},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[204,2980,2981,2992],{"__ignoreMap":202},[207,2982,2983,2986,2989],{"class":209,"line":210},[207,2984,2985],{"class":213},"ollama",[207,2987,2988],{"class":217}," pull",[207,2990,2991],{"class":217}," llama3\n",[207,2993,2994,2996,2999,3002,3005],{"class":209,"line":224},[207,2995,2844],{"class":213},[207,2997,2998],{"class":217}," config",[207,3000,3001],{"class":217}," set",[207,3003,3004],{"class":217}," ai.provider",[207,3006,3007],{"class":217}," \"ollama\"\n",[21,3009,364],{"id":364},[366,3011,3012,3026],{},[369,3013,3014],{},[372,3015,3016,3018,3020,3022,3024],{},[375,3017,377],{},[375,3019,385],{},[375,3021,382],{},[375,3023,11],{},[375,3025,1401],{},[390,3027,3028,3044,3058,3072,3088,3101,3113,3128,3143,3157],{},[372,3029,3030,3032,3035,3038,3041],{},[395,3031,2367],{},[395,3033,3034],{},"IM 网关 + 多 Agent 自治",[395,3036,3037],{},"桌面客户端 + MCP",[395,3039,3040],{},"Phone\u002FWeb GUI agent",[395,3042,3043],{},"终端 TUI agent",[372,3045,3046,3049,3052,3054,3056],{},[395,3047,3048],{},"7×24 Heartbeat",[395,3050,3051],{},"✅ 30 分钟",[395,3053,437],{},[395,3055,437],{},[395,3057,437],{},[372,3059,3060,3063,3066,3068,3070],{},[395,3061,3062],{},"多 IM 渠道",[395,3064,3065],{},"✅ 20+",[395,3067,437],{},[395,3069,437],{},[395,3071,437],{},[372,3073,3074,3077,3080,3083,3085],{},[395,3075,3076],{},"Skills 市场",[395,3078,3079],{},"✅ ClawHub 5400+",[395,3081,3082],{},"✅ MCP Connectors",[395,3084,437],{},[395,3086,3087],{},"✅ Agent Skills 标准",[372,3089,3090,3092,3094,3096,3098],{},[395,3091,2690],{},[395,3093,1100],{},[395,3095,797],{},[395,3097,437],{},[395,3099,3100],{},"session",[372,3102,3103,3105,3107,3109,3111],{},[395,3104,414],{},[395,3106,423],{},[395,3108,420],{},[395,3110,417],{},[395,3112,1894],{},[372,3114,3115,3118,3121,3123,3126],{},[395,3116,3117],{},"本地 LLM",[395,3119,3120],{},"✅ Ollama 友好",[395,3122,437],{},[395,3124,3125],{},"✅ 9B 自模型",[395,3127,1100],{},[372,3129,3130,3133,3136,3139,3141],{},[395,3131,3132],{},"中国大陆友好",[395,3134,3135],{},"✅ 完全",[395,3137,3138],{},"❌ 支付",[395,3140,1100],{},[395,3142,1090],{},[372,3144,3145,3147,3149,3152,3154],{},[395,3146,1152],{},[395,3148,707],{},[395,3150,3151],{},"$20\u002F月 +",[395,3153,707],{},[395,3155,3156],{},"$0 + API",[372,3158,3159,3161,3164,3166,3169],{},[395,3160,506],{},[395,3162,3163],{},"7×24 IM 触发个人 agent",[395,3165,512],{},[395,3167,3168],{},"Phone GUI",[395,3170,3171],{},"终端 power user",[21,3173,521],{"id":521},[36,3175,3176,3182,3188,3194,3200,3206,3212,3218,3224,3230],{},[39,3177,3178,3181],{},[42,3179,3180],{},"Skill 选型评估","：5400+ Skill 里挑官方 \u002F 高 star \u002F 仔细看 source，沙箱模式优先",[39,3183,3184,3187],{},[42,3185,3186],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[39,3189,3190,3193],{},[42,3191,3192],{},"国内 IM 风控","：微信 \u002F 钉钉账号要用独立小号，避免主账号被风控",[39,3195,3196,3199],{},[42,3197,3198],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[39,3201,3202,3205],{},[42,3203,3204],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[39,3207,3208,3211],{},[42,3209,3210],{},"sandbox 权限默认保守","：复杂自动化要在 onboard 阶段调整权限，不要一上来全 root",[39,3213,3214,3217],{},[42,3215,3216],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[39,3219,3220,3223],{},[42,3221,3222],{},"Windows 走 WSL2","：原生 Windows 兼容差",[39,3225,3226,3229],{},[42,3227,3228],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[39,3231,3232,3235],{},[42,3233,3234],{},"Heartbeat 间隔自定义","：默认 30 分钟，做高频监控可调短，但成本对应增加",[21,3237,575],{"id":574},[36,3239,3240,3243,3246,3249,3252,3255,3258,3261],{},[39,3241,3242],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[39,3244,3245],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[39,3247,3248],{},"✅ 数据隐私敏感 + 自托管刚需",[39,3250,3251],{},"✅ 中国大陆用户走本地 Ollama 全免费",[39,3253,3254],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[39,3256,3257],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[39,3259,3260],{},"❌ 要一键就跑的非技术用户",[39,3262,3263],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[21,3265,604],{"id":604},[36,3267,3268,3272,3276],{},[39,3269,3270],{},[610,3271,613],{"href":612},[39,3273,3274],{},[610,3275,1275],{"href":699},[39,3277,3278],{},[610,3279,1281],{"href":1280},[21,3281,628],{"id":628},[630,3283,3284,3291,3298,3305],{},[39,3285,3286,3287],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[610,3288,3289],{"href":3289,"rel":3290},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[639],[39,3292,3293,3294],{},"技术栈 — OpenClaw 2026 实战指南 ",[610,3295,3296],{"href":3296,"rel":3297},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[639],[39,3299,3300,3301],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[610,3302,3303],{"href":3303,"rel":3304},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[639],[39,3306,3307,3308],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[610,3309,3310],{"href":3310,"rel":3311},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[639],[662,3313,3314],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":3316},[3317,3318,3319,3320,3321,3322,3323,3324,3325,3326],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2758,"depth":224,"text":2759},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopenclaw.webp","OpenClaw 真实评测：原名 Clawdbot \u002F Moltbot，Peter Steinberger 2025 末创建，2026-02 移交开源基金会。60 天 28-35.5 万 GitHub stars，超 React 历史速度。MIT 协议自托管 Gateway 连接 Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo 等 20+ IM 平台。Heartbeat 30 分钟主动触发 + Cron + Skills（ClawHub 5400+）+ 多 Agent 隔离 + 本地长期记忆。Node 24（推荐）或 22 LTS。",[3330,3333,3336,3339],{"q":3331,"a":3332},"OpenClaw 和 Claude Desktop \u002F MCP 怎么定位？","Claude Desktop 是『桌面客户端 + MCP 工具栈』走 GUI 交互；OpenClaw 是『IM 网关 + 多 Agent + 主动 Heartbeat』走聊天 + 后台自治。两者互补：在电脑前要 GUI 体验用 Claude Desktop；离开电脑要 Telegram \u002F 微信里支使 AI 7×24 干活用 OpenClaw。OpenClaw 内部也可调用 MCP server 和 LLM provider。",{"q":3334,"a":3335},"Heartbeat 是什么？","每 30 分钟由 Gateway 主动唤醒 Agent，检查 Cron \u002F 任务队列 \u002F 监控钩子，让 AI 真正『7×24 后台运行』而非被动等用户。监控告警 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘等场景靠 Heartbeat 实现。",{"q":3337,"a":3338},"ClawHub 是什么？","OpenClaw 社区驱动的 Skills 市场，2026-05 已突破 5400 个 Skill：天气 \u002F 邮件分拣 \u002F 网页采集 \u002F 浏览器自动化 \u002F 文件整理 \u002F 多平台消息 \u002F 加密货币 \u002F 智能家居 \u002F CRM 集成等。Skill 用 YAML \u002F Markdown 描述，一键安装 + 自定义 prompt 即可。",{"q":1339,"a":3340},"完全可以。OpenClaw 自托管 + MIT 开源 + 本地 Ollama 模型路径全免费 + 无外网 \u002F 海外卡依赖。微信 \u002F 钉钉 \u002F 飞书都有 channel 插件。配 Ollama llama3 \u002F Qwen 中文模型可全离线。仅外接 GPT \u002F Claude API 时需要海外网络 + 海外卡。",[697,696,1345],{},[1348,1350,3344,2861],"windows-wsl",[3346],{"plan":2748,"price":707,"features":3347,"notes":3348},"MIT 全开源 + Gateway + Skills + Memory + Cron + Heartbeat + 多 Agent + 20+ IM 渠道","用户自带 LLM Key 或本地 Ollama","MIT 完全免费开源 \u002F 用户自带 LLM API（GPT \u002F Claude \u002F 本地 Ollama 全免费）",[3351],"onboarding\u002Fpersonal-247-ai-agent",{"power":264,"ux":257,"price":264,"cn_support":257,"stability":257},{"title":385,"description":3328},"OpenClaw - 开源个人 AI Agent 评测与指南 | AIHO",[3356,3358,3360,3362],{"name":3357,"url":3289,"accessed":732},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 多渠道）",{"name":3359,"url":3296,"accessed":732},"技术栈 — OpenClaw 2026 实战指南",{"name":3361,"url":3303,"accessed":732},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat）",{"name":3363,"url":3310,"accessed":732},"腾讯云 — Computer Use Agent 爆发分析","tools\u002Fagent\u002Fdesktop\u002Fopenclaw","2026 现象级开源个人 AI Agent——多 IM 网关 + 技能市场 ClawHub 5400+ + 7×24 Heartbeat",[745,3367,3368,1392,3369,3370,3371,2844],"self-host","gateway","multi-agent","im-bot","mit","2026 最火个人 AI Agent——『IM 触发 + 7×24 主动 + 本地控制』三件套。要从 Telegram \u002F 微信 \u002F Discord 一句话支使 AI 干活的 power user 首选。GUI 党 \u002F 非工程师仍推 Claude Desktop。","https:\u002F\u002Fdocs.openclaw.ai","liK3OxB1DF-JGg4dNwI6i7wgA6iE8mkxCT63ALFupPA",{"id":3376,"title":3377,"alternatives":3378,"api_compatible":16,"body":3380,"category":3872,"chinese_friendly":250,"cover":3873,"description":3874,"domestic":680,"extension":681,"faq":3875,"free":680,"github":16,"languages":3887,"lastVerified":16,"meta":3888,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":3889,"pillar":700,"platforms":3890,"priceTable":3891,"pricing":3904,"published":720,"relatedPlaybooks":3905,"relatedReviews":16,"score":3907,"self_host":680,"seo":3908,"seoTitle":3909,"slug":3910,"sources":3911,"stem":3919,"suitable":16,"tagline":3920,"tags":3921,"updated":732,"verdict":3926,"website":3927,"__hash__":3928},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[13,14,3379],"agent\u002Fgeneral\u002Fflowith",{"type":18,"value":3381,"toc":3860},[3382,3384,3387,3390,3392,3460,3462,3485,3490,3494,3498,3521,3525,3551,3553,3576,3578,3724,3726,3782,3784,3810,3812,3828,3830],[21,3383,24],{"id":23},[26,3385,3386],{},"Alice（heyalice.app）是 Greg Rog \u002F Techsistence 团队 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手，2026-02 版本 5.0 发布，8000+ 创作者使用。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储零云依赖 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。无月费订阅，3 周免费试用 + 一次买断 ~$59-99。",[26,3388,3389],{},"适合：macOS \u002F Windows 党 + 想全局快捷键唤起 AI；多模型用户不想被单 vendor 锁定；隐私敏感 + 不愿数据上云；自由职业 \u002F 个人开发者 + 不喜欢月费订阅。不适合：纯网页党（无 web 版）；移动设备主力（无 iOS \u002F Android）；团队协作 + 共享 workspace；不愿管理 API Key 的纯用户。",[21,3391,34],{"id":34},[36,3393,3394,3400,3406,3412,3418,3424,3430,3436,3442,3448,3454],{},[39,3395,3396,3399],{},[42,3397,3398],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[39,3401,3402,3405],{},[42,3403,3404],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[39,3407,3408,3411],{},[42,3409,3410],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[39,3413,3414,3417],{},[42,3415,3416],{},"200+ Skills","：power user 社区贡献的能力包",[39,3419,3420,3423],{},[42,3421,3422],{},"MCP 集成","：可调用 MCP server 工具",[39,3425,3426,3429],{},[42,3427,3428],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[39,3431,3432,3435],{},[42,3433,3434],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[39,3437,3438,3441],{},[42,3439,3440],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[39,3443,3444,3447],{},[42,3445,3446],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[39,3449,3450,3453],{},[42,3451,3452],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[39,3455,3456,3459],{},[42,3457,3458],{},"3 周免费试用","：体验完整再决策",[21,3461,108],{"id":108},[36,3463,3464,3470,3476,3482],{},[39,3465,3466,3469],{},[42,3467,3468],{},"Free Trial","：3 周完整功能，无信用卡",[39,3471,3472,3475],{},[42,3473,3474],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[39,3477,3478,3481],{},[42,3479,3480],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[39,3483,3484],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[130,3486,3487],{},[26,3488,3489],{},"真实成本预估：重度日用 GPT-5.x \u002F Claude 一个月 $30-80 API 费 + 一次买断 ~$59 = 第一年总投入约 $400-500，长期省于 ChatGPT Pro 月费。",[21,3491,3493],{"id":3492},"实测macos-主力-自由职业-多模型混用","实测（macOS 主力 \u002F 自由职业 \u002F 多模型混用）",[26,3495,3496],{},[42,3497,143],{},[36,3499,3500,3503,3506,3509,3512,3515,3518],{},[39,3501,3502],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[39,3504,3505],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[39,3507,3508],{},"50+ Assistants 节省 prompt engineering 时间",[39,3510,3511],{},"数据本地 + 无 telemetry，隐私党非常友好",[39,3513,3514],{},"一次买断 vs 多家月费的累计性价比高",[39,3516,3517],{},"BYO API 让账单透明，不会有平台抽成",[39,3519,3520],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[26,3522,3523],{},[42,3524,168],{},[36,3526,3527,3530,3533,3536,3539,3542,3545,3548],{},[39,3528,3529],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[39,3531,3532],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[39,3534,3535],{},"移动端缺失，出门用不上",[39,3537,3538],{},"Linux 版本更新偶尔比 macOS 慢",[39,3540,3541],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[39,3543,3544],{},"50+ Assistants 质量参差，要挑高赞的用",[39,3546,3547],{},"团队协作 \u002F 云同步不是产品重点",[39,3549,3550],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[21,3552,936],{"id":936},[630,3554,3555,3558,3561,3564,3567,3570,3573],{},[39,3556,3557],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[39,3559,3560],{},"启动 → 3 周免费试用激活",[39,3562,3563],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[39,3565,3566],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[39,3568,3569],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[39,3571,3572],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[39,3574,3575],{},"满意后选 Personal $59 \u002F Business $99 买断",[21,3577,364],{"id":364},[366,3579,3580,3595],{},[369,3581,3582],{},[372,3583,3584,3586,3588,3591,3593],{},[375,3585,377],{},[375,3587,3377],{},[375,3589,3590],{},"Raycast AI",[375,3592,382],{},[375,3594,1055],{},[390,3596,3597,3611,3627,3642,3655,3667,3680,3695,3708],{},[372,3598,3599,3602,3604,3607,3609],{},[395,3600,3601],{},"全局 hotkey",[395,3603,1806],{},[395,3605,3606],{},"✅ Raycast",[395,3608,443],{},[395,3610,443],{},[372,3612,3613,3616,3618,3621,3624],{},[395,3614,3615],{},"BYO API",[395,3617,1100],{},[395,3619,3620],{},"❌ 内置",[395,3622,3623],{},"❌ Anthropic",[395,3625,3626],{},"❌ OpenAI",[372,3628,3629,3632,3635,3638,3640],{},[395,3630,3631],{},"一次买断",[395,3633,3634],{},"✅ $59-99",[395,3636,3637],{},"$10\u002F月",[395,3639,1155],{},[395,3641,1155],{},[372,3643,3644,3647,3649,3651,3653],{},[395,3645,3646],{},"多模型一窗",[395,3648,1100],{},[395,3650,1100],{},[395,3652,1826],{},[395,3654,1832],{},[372,3656,3657,3659,3661,3663,3665],{},[395,3658,1850],{},[395,3660,1100],{},[395,3662,440],{},[395,3664,1070],{},[395,3666,440],{},[372,3668,3669,3671,3674,3676,3678],{},[395,3670,3440],{},[395,3672,3673],{},"✅ 零云",[395,3675,437],{},[395,3677,437],{},[395,3679,437],{},[372,3681,3682,3684,3687,3690,3692],{},[395,3683,397],{},[395,3685,3686],{},"macOS\u002FWin\u002FLinux",[395,3688,3689],{},"macOS only",[395,3691,3686],{},[395,3693,3694],{},"macOS\u002FWin",[372,3696,3697,3700,3702,3704,3706],{},[395,3698,3699],{},"移动端",[395,3701,426],{},[395,3703,426],{},[395,3705,437],{},[395,3707,1100],{},[372,3709,3710,3712,3715,3718,3721],{},[395,3711,506],{},[395,3713,3714],{},"全局 AI + 多模型 + 买断",[395,3716,3717],{},"Mac 启动器 + AI",[395,3719,3720],{},"MCP 生态",[395,3722,3723],{},"OpenAI 全家桶",[21,3725,521],{"id":521},[36,3727,3728,3734,3740,3746,3752,3758,3764,3770,3776],{},[39,3729,3730,3733],{},[42,3731,3732],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[39,3735,3736,3739],{},[42,3737,3738],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[39,3741,3742,3745],{},[42,3743,3744],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[39,3747,3748,3751],{},[42,3749,3750],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[39,3753,3754,3757],{},[42,3755,3756],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[39,3759,3760,3763],{},[42,3761,3762],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[39,3765,3766,3769],{},[42,3767,3768],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[39,3771,3772,3775],{},[42,3773,3774],{},"不要一次升级到最新版","：5.x 改动大，pin minor 版本观察社区反馈",[39,3777,3778,3781],{},[42,3779,3780],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[21,3783,575],{"id":574},[36,3785,3786,3789,3792,3795,3798,3801,3804,3807],{},[39,3787,3788],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[39,3790,3791],{},"✅ 多模型用户不想被单 vendor 锁定",[39,3793,3794],{},"✅ 隐私敏感 + 数据全本地",[39,3796,3797],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[39,3799,3800],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[39,3802,3803],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[39,3805,3806],{},"❌ 不想管理 API Key 的纯用户",[39,3808,3809],{},"❌ 中国大陆海外卡 + API 不可得",[21,3811,604],{"id":604},[36,3813,3814,3818,3822],{},[39,3815,3816],{},[610,3817,613],{"href":612},[39,3819,3820],{},[610,3821,619],{"href":618},[39,3823,3824],{},[610,3825,3827],{"href":3826},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","Flowith 评测",[21,3829,628],{"id":628},[630,3831,3832,3839,3846,3853],{},[39,3833,3834,3835],{},"Alice 官网（heyalice.app）",[610,3836,3837],{"href":3837,"rel":3838},"https:\u002F\u002Fheyalice.app\u002F",[639],[39,3840,3841,3842],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[610,3843,3844],{"href":3844,"rel":3845},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[639],[39,3847,3848,3849],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[610,3850,3851],{"href":3851,"rel":3852},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[639],[39,3854,3855,3856],{},"Skywork — Alice AI Ultimate 2026 Guide ",[610,3857,3858],{"href":3858,"rel":3859},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[639],{"title":202,"searchDepth":250,"depth":250,"links":3861},[3862,3863,3864,3865,3866,3867,3868,3869,3870,3871],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":3492,"depth":224,"text":3493},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"general","\u002Fimg\u002Ftools\u002Falice.webp","Alice 真实评测：Greg Rog \u002F Techsistence 团队出品的 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手（heyalice.app）。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。版本 5.0 已发布，8000+ 创作者使用。3 周免费试用，无月费订阅，付费一次买断。",[3876,3879,3882,3885],{"q":3877,"a":3878},"Alice 和 Raycast AI \u002F Claude Desktop \u002F ChatGPT Desktop 怎么选？","Alice 强在『全局快捷键 + BYO API + 一次买断 + 隐私本地』——多模型用户 \u002F 自由职业 \u002F 隐私敏感党最划算。Raycast AI 是 Raycast 启动器内置 AI，深度集成快捷指令但限 Raycast 生态。Claude Desktop 强 MCP + Anthropic 模型。ChatGPT Desktop 强 OpenAI 全家桶。要 Mac 全局 hotkey + 多模型 + 不订阅 → Alice；要工具栏启动器 + 简单 AI → Raycast AI；要 MCP 生态 → Claude Desktop。",{"q":3880,"a":3881},"为什么要自带 API Key？","Alice 自身不卖 LLM 服务，让你直接用 OpenAI \u002F Anthropic \u002F Google \u002F xAI \u002F Groq 的 API。优点：透明计费 + 同一 key 多工具复用 + 不依赖 Alice 商业稳定。缺点：要自己申请 + 充值多家 API + 重度用户成本估算难。OpenRouter 可以一个 key 接所有模型。",{"q":3883,"a":3884},"Skills 和 Assistants 区别？","Assistant 是预配置 system prompt + 工具 + 模型的『角色』（如 'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius'），打开就是这个角色；Skill 是 Assistant 内部可调用的『能力包』（搜索 \u002F 摘要 \u002F 翻译 \u002F 数据分析等）。50+ Assistants + 200+ Skills 由 power user 社区贡献，免费可装。",{"q":1339,"a":3886},"App 本身可下载 + 本地运行。海外信用卡买断 + 海外 LLM API Key 是门槛。OpenRouter 中转可接国产模型（智谱 \u002F DeepSeek \u002F Qwen），跑国内场景。隐私上数据全本地存储，无国外服务器同步。",[697],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",[1348,1349,1350],[3892,3896,3900],{"plan":3468,"price":3893,"features":3894,"notes":3895},"$0 · 3 周","完整功能体验","无信用卡",{"plan":3474,"price":3897,"features":3898,"notes":3899},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":3480,"price":3901,"features":3902,"notes":3903},"~$99 一次","Personal + 优先支持 + 商用授权 + 更新永久免费","商业 \u002F 团队","$59-99 一次买断 + 3 周免费试用 \u002F 自带 API Key 走 LLM 计费",[3906],"onboarding\u002Fmacos-global-ai-workflow",{"power":257,"ux":264,"price":257,"cn_support":250,"stability":257},{"title":3377,"description":3874},"Alice - 桌面 AI 助手评测与使用指南 | AIHO","agent\u002Fgeneral\u002Falice",[3912,3913,3915,3917],{"name":3834,"url":3837,"accessed":732},{"name":3914,"url":3844,"accessed":732},"Comparateur-IA — Alice AI Review 2026",{"name":3916,"url":3851,"accessed":732},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":3918,"url":3858,"accessed":732},"Skywork — Alice AI Ultimate 2026 Guide","tools\u002Fagent\u002Fgeneral\u002Falice","heyalice.app 桌面 AI 助手——OS 级全局快捷键 + 多模型 + 50+ Assistants \u002F 200+ Skills",[3922,2153,3923,3924,3925,1348],"desktop-assistant","byo-api","privacy","hotkey","桌面 AI 助手里最像 Raycast 的存在——全局快捷键 + 一次买断 + 自带 API。重度多模型用户 + macOS 党 + 隐私敏感首选。要团队协作 \u002F 云同步走 Claude Desktop \u002F ChatGPT Team。","https:\u002F\u002Fheyalice.app","gHImGKuWDLsVnjqiLMxk-0Z0nmt3odFLiFTKM88NsZo",{"id":3930,"title":3931,"alternatives":3932,"api_compatible":16,"body":3934,"category":3872,"chinese_friendly":257,"cover":4408,"description":4409,"domestic":680,"extension":681,"faq":4410,"free":680,"github":16,"languages":4423,"lastVerified":16,"meta":4424,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":3826,"pillar":700,"platforms":4425,"priceTable":4428,"pricing":4444,"published":720,"relatedPlaybooks":4445,"relatedReviews":4447,"score":4449,"self_host":680,"seo":4450,"seoTitle":4451,"slug":3379,"sources":4452,"stem":4461,"suitable":16,"tagline":4462,"tags":4463,"updated":732,"verdict":4468,"website":4373,"__hash__":4469},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[3933,3910,13],"agent\u002Fgeneral\u002Fgenspark",{"type":18,"value":3935,"toc":4396},[3936,3938,3941,3944,3946,4007,4009,4033,4038,4042,4046,4069,4073,4099,4101,4121,4123,4254,4256,4317,4319,4345,4347,4364,4366],[21,3937,24],{"id":23},[26,3939,3940],{},"Flowith 是新加坡公司 Flowith Technologies Pte. Ltd.（2023 创立）打造的画布式 AI 工作空间。差异点：无限 2D 画布把每次 AI 交互变成可分支可合并的节点 + Agent Neo（10M token 上下文 \u002F 1000+ 自治步骤）+ Knowledge Garden（文档原子化成 Seeds）+ 40+ AI 模型一站接入 + FlowithOS 早期预览。2024-08 Product Hunt 当日 #1，2026 已有 100 万+ 用户，背后有 Stripe \u002F NVIDIA Inception \u002F Google for Startups \u002F Microsoft \u002F AWS。",[26,3942,3943],{},"适合：研究 \u002F 内容生产 \u002F 网站搭建 \u002F 长期项目 + 多线程并行；要 10M token 超长上下文做深度分析；想画布一眼看整个项目结构；多模型对比 + 长任务自治需求。不适合：纯简单问答（杀鸡用牛刀）；预算紧（credit 消耗快）；线性思维偏好用户（画布反而增加心智负担）；不愿学习曲线的纯小白。",[21,3945,34],{"id":34},[36,3947,3948,3954,3960,3966,3972,3978,3984,3990,3996,4002],{},[39,3949,3950,3953],{},[42,3951,3952],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[39,3955,3956,3959],{},[42,3957,3958],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[39,3961,3962,3965],{},[42,3963,3964],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[39,3967,3968,3971],{},[42,3969,3970],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[39,3973,3974,3977],{},[42,3975,3976],{},"多线程并行","：同时跑多个 thread，画布一览",[39,3979,3980,3983],{},[42,3981,3982],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[39,3985,3986,3989],{},[42,3987,3988],{},"iOS App","：2026 上线，移动 workspace 访问",[39,3991,3992,3995],{},[42,3993,3994],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[39,3997,3998,4001],{},[42,3999,4000],{},"商业授权","：Pro+ 包含商业使用权",[39,4003,4004,4006],{},[42,4005,2732],{},"：浏览器原生，多设备同步",[21,4008,108],{"id":108},[36,4010,4011,4016,4021,4027],{},[39,4012,4013,4015],{},[42,4014,843],{},"：$0；300 一次性 credits（试水级）",[39,4017,4018,4020],{},[42,4019,849],{},"：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[39,4022,4023,4026],{},[42,4024,4025],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[39,4028,4029,4032],{},[42,4030,4031],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[130,4034,4035],{},[26,4036,4037],{},"真实成本：跑 Agent Neo 长任务一次 5k-20k credits，Pro 一月 1-3 个完整 Neo 任务 + 日常多线程对话；重度建议 Ultimate 起。",[21,4039,4041],{"id":4040},"实测深度研究-多线程内容生产","实测（深度研究 \u002F 多线程内容生产）",[26,4043,4044],{},[42,4045,143],{},[36,4047,4048,4051,4054,4057,4060,4063,4066],{},[39,4049,4050],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[39,4052,4053],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[39,4055,4056],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[39,4058,4059],{},"40+ 模型一窗体内切换 + 对比",[39,4061,4062],{},"多设备同步流畅",[39,4064,4065],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[39,4067,4068],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[26,4070,4071],{},[42,4072,168],{},[36,4074,4075,4078,4081,4084,4087,4090,4093,4096],{},[39,4076,4077],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[39,4079,4080],{},"学习曲线明显，画布操作 + 节点连线要花时间",[39,4082,4083],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[39,4085,4086],{},"Free 300 credits 不够体验完整流程",[39,4088,4089],{},"Agent Neo 偶尔『过度自治』产出不可控",[39,4091,4092],{},"移动 iOS 体验不如桌面 Web",[39,4094,4095],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[39,4097,4098],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[21,4100,936],{"id":936},[630,4102,4103,4106,4109,4112,4115,4118],{},[39,4104,4105],{},"flowith.io → Free 注册 → 拿 300 credits",[39,4107,4108],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[39,4110,4111],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[39,4113,4114],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[39,4116,4117],{},"Agent Neo → 给一个完整目标（\"做一份 AI Agent 2026 竞品分析报告 + 网站\"）→ 等 30 分钟看结果",[39,4119,4120],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[21,4122,364],{"id":364},[366,4124,4125,4142],{},[369,4126,4127],{},[372,4128,4129,4131,4133,4136,4139],{},[375,4130,377],{},[375,4132,3931],{},[375,4134,4135],{},"Genspark",[375,4137,4138],{},"ChatGPT",[375,4140,4141],{},"Claude",[390,4143,4144,4159,4176,4193,4210,4224,4238],{},[372,4145,4146,4148,4151,4154,4157],{},[395,4147,2367],{},[395,4149,4150],{},"无限画布 + 节点",[395,4152,4153],{},"多 Agent + Sparkpage",[395,4155,4156],{},"线性 chat",[395,4158,4156],{},[372,4160,4161,4164,4167,4170,4173],{},[395,4162,4163],{},"自治 agent",[395,4165,4166],{},"✅ Neo 1000+ 步",[395,4168,4169],{},"✅ Super Agent",[395,4171,4172],{},"✅ Operator",[395,4174,4175],{},"❌（API 走）",[372,4177,4178,4181,4184,4187,4190],{},[395,4179,4180],{},"上下文",[395,4182,4183],{},"10M token",[395,4185,4186],{},"200K",[395,4188,4189],{},"1M（GPT-5）",[395,4191,4192],{},"1M（Claude）",[372,4194,4195,4198,4201,4204,4207],{},[395,4196,4197],{},"模型数",[395,4199,4200],{},"40+",[395,4202,4203],{},"多家",[395,4205,4206],{},"OpenAI",[395,4208,4209],{},"Anthropic",[372,4211,4212,4215,4218,4220,4222],{},[395,4213,4214],{},"Knowledge base",[395,4216,4217],{},"✅ Seeds",[395,4219,437],{},[395,4221,797],{},[395,4223,797],{},[372,4225,4226,4228,4231,4234,4236],{},[395,4227,1152],{},[395,4229,4230],{},"$19.90\u002F月",[395,4232,4233],{},"$25\u002F月",[395,4235,1155],{},[395,4237,1155],{},[372,4239,4240,4242,4245,4248,4251],{},[395,4241,506],{},[395,4243,4244],{},"深度多线程 + 长任务",[395,4246,4247],{},"全能 Super Agent",[395,4249,4250],{},"通用",[395,4252,4253],{},"Coding \u002F 长文",[21,4255,521],{"id":521},[36,4257,4258,4264,4270,4276,4282,4288,4294,4300,4305,4311],{},[39,4259,4260,4263],{},[42,4261,4262],{},"从 Pro 起","：Free 300 credits 玩不出深度",[39,4265,4266,4269],{},[42,4267,4268],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[39,4271,4272,4275],{},[42,4273,4274],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[39,4277,4278,4281],{},[42,4279,4280],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[39,4283,4284,4287],{},[42,4285,4286],{},"画布命名清晰","：节点 \u002F 分支 \u002F 项目名字要规范，否则一周后看不懂自己画的",[39,4289,4290,4293],{},[42,4291,4292],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[39,4295,4296,4299],{},[42,4297,4298],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[39,4301,4302,4304],{},[42,4303,3699],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[39,4306,4307,4310],{},[42,4308,4309],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[39,4312,4313,4316],{},[42,4314,4315],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[21,4318,575],{"id":574},[36,4320,4321,4324,4327,4330,4333,4336,4339,4342],{},[39,4322,4323],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[39,4325,4326],{},"✅ 要 10M token 超长上下文做综合分析",[39,4328,4329],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[39,4331,4332],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[39,4334,4335],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[39,4337,4338],{},"❌ 预算极紧 + 不愿学习曲线",[39,4340,4341],{},"❌ 线性思维 + 单线程偏好",[39,4343,4344],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[21,4346,604],{"id":604},[36,4348,4349,4355,4360],{},[39,4350,4351],{},[610,4352,4354],{"href":4353},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark","Genspark 评测",[39,4356,4357],{},[610,4358,4359],{"href":3889},"Alice 评测",[39,4361,4362],{},[610,4363,613],{"href":612},[21,4365,628],{"id":628},[630,4367,4368,4375,4382,4389],{},[39,4369,4370,4371],{},"Flowith 官网 + Pricing ",[610,4372,4373],{"href":4373,"rel":4374},"https:\u002F\u002Fflowith.io",[639],[39,4376,4377,4378],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[610,4379,4380],{"href":4380,"rel":4381},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[639],[39,4383,4384,4385],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[610,4386,4387],{"href":4387,"rel":4388},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[639],[39,4390,4391,4392],{},"OpenTools — Flowith Review May 2026 ",[610,4393,4394],{"href":4394,"rel":4395},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[639],{"title":202,"searchDepth":250,"depth":250,"links":4397},[4398,4399,4400,4401,4402,4403,4404,4405,4406,4407],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":4040,"depth":224,"text":4041},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fflowith.webp","Flowith 真实评测：Flowith Technologies Pte. Ltd.（新加坡，2023 创立，Yichen Wu + Derek Nee 联合创办）打造的画布式 AI 工作空间。2024-08 Product Hunt #1。差异点：无限 2D 画布把每次 AI 交互变成可连可分支的节点 + Agent Neo（号称『世界首个无限 agent』10M token 上下文 \u002F 1000+ 步骤）+ Knowledge Garden（文档拆解成 Seeds 知识单元）+ 40+ AI 模型一站接入 + FlowithOS 早期预览 + iOS App。Free \u002F Pro $19.90 \u002F Ultimate $49.90 \u002F Infinite $499.90。",[4411,4414,4417,4420],{"q":4412,"a":4413},"Agent Neo 是什么？","Flowith 的自治 agent，10M token 上下文窗口（约 7500 页）+ 1000+ 推理步骤。给一个目标（研究 \u002F 内容 \u002F 建站 \u002F 竞争分析），它自主规划子任务、网络搜索、文档分析、综合结论、迭代输出。和单回合 ChatGPT 区别在于持续运行直到任务完成，可自动建网站 \u002F 写报告 \u002F 做策略。",{"q":4415,"a":4416},"Knowledge Garden 怎么用？","上传 PDF \u002F 笔记 \u002F 文件后，Flowith 把它们『原子化』成离散的 Seeds（知识单元）。任何 canvas 节点可调用相关 Seeds 做 RAG，无需手动复制粘贴。和 NotebookLM 类似但深度集成画布工作流。",{"q":4418,"a":4419},"credit 怎么算？","Credit-based 模型按 token + 任务类型计费。文本：基础模型 100 \u002F 百万 token，GPT-5 等前沿模型 15,000 \u002F 百万 token。图像 20-190 credits\u002F张，视频 475-6000 credits\u002F条。Free 一次性 300 credits 只够试水；Pro 22k credits 中等用户够；重度跑 Agent Neo 长任务建议 Ultimate 起。建议先 Pro 试一个月看消耗再升级。",{"q":4421,"a":4422},"和 ChatGPT \u002F Claude 怎么选？","ChatGPT \u002F Claude 适合线性快问快答，每次一条 thread。Flowith 适合多分支并行 + 项目级长期上下文 + 自治长任务，画布让整个项目一眼可见。简单问答用 ChatGPT；多线程深度研究 \u002F 内容生产 + 自治 agent → Flowith。两者互补。",[697,696,1345],{},[704,4426,4427],"ios","macos-flowithos",[4429,4433,4436,4440],{"plan":4430,"price":707,"features":4431,"notes":4432},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":849,"price":4230,"features":4434,"notes":4435},"22,000 月度 credits + 40+ 模型 + 50 并发 + 5 设备 + 图像\u002F视频批量 + FlowithOS 早期","年付 $15.32\u002F月",{"plan":4025,"price":4437,"features":4438,"notes":4439},"$49.90\u002F月","85,000 月度 credits + 100 并发 + 高速处理 + 优先队列","年付 $39.92\u002F月",{"plan":4031,"price":4441,"features":4442,"notes":4443},"$499.90\u002F月","1,000,000 月度 credits + 不限并发 + 最高速 + 优先支持 + 创始人直通 + 1-on-1 onboard","年付 $459.90\u002F月","Free (300 一次性 credits) \u002F Pro $19.90·月 \u002F Ultimate $49.90·月 \u002F Infinite $499.90·月（年付 8 折）",[4446],"onboarding\u002Fcanvas-ai-research-workflow",[4448],"manus-deep-review",{"power":264,"ux":257,"price":250,"cn_support":257,"stability":257},{"title":3931,"description":4409},"Flowith 评测 2026：无限画布 AI 工作空间，10M token 上下文",[4453,4455,4457,4459],{"name":4454,"url":4373,"accessed":732},"Flowith 官网",{"name":4456,"url":4380,"accessed":732},"Toolworthy — Flowith Review 2026",{"name":4458,"url":4387,"accessed":732},"BlockSentient — Flowith 2026 详细评测",{"name":4460,"url":4394,"accessed":732},"OpenTools — Flowith Review May 2026","tools\u002Fagent\u002Fgeneral\u002Fflowith","无限画布 AI 工作空间——Agent Neo 10M token 上下文 + 1000+ 步自治 + 40+ 模型 + Knowledge Garden",[4464,2153,4465,4466,4467],"canvas","agentic","knowledge-base","flowith","线性 chat 装不下的复杂深度工作专用——研究 \u002F 报告 \u002F 网站搭建 \u002F 长期项目首选画布。简单问答 \u002F 短任务用 ChatGPT \u002F Claude 即可，Flowith 学习曲线 + credit 消耗都偏高。","DgAWQdeneQlvBLMWs6vq8AoTrZcNh_OdXzfktQ2JvmQ",{"id":4471,"title":4135,"alternatives":4472,"api_compatible":16,"body":4473,"category":3872,"chinese_friendly":257,"cover":4969,"description":4970,"domestic":680,"extension":681,"faq":4971,"free":680,"github":16,"languages":4984,"lastVerified":16,"meta":4985,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":4353,"pillar":700,"platforms":4986,"priceTable":4987,"pricing":4996,"published":720,"relatedPlaybooks":4997,"relatedReviews":4999,"score":5001,"self_host":680,"seo":5002,"seoTitle":5003,"slug":3933,"sources":5004,"stem":5013,"suitable":16,"tagline":5014,"tags":5015,"updated":732,"verdict":5020,"website":5021,"__hash__":5022},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[3379,13,3910],{"type":18,"value":4474,"toc":4957},[4475,4477,4480,4483,4485,4559,4561,4585,4590,4594,4598,4621,4625,4651,4653,4673,4675,4823,4825,4881,4883,4909,4911,4925,4927],[21,4476,24],{"id":23},[26,4478,4479],{},"Genspark 是 2024 年创立于 Palo Alto 的 AI Super Agent 公司，CEO Eric Jing（前 Microsoft Bing \u002F 小冰），团队来自 Microsoft + Google。2026-04 ARR 突破 $250M（12 个月内）。差异点：『多 Agent 架构』路由不同 agent + 模型组合，而非单 LLM + Super Agent 自治执行覆盖研究 \u002F 内容 \u002F 调用 \u002F 建站 \u002F 视频 \u002F 数据分析 \u002F 真实电话 + Sparkpage 可视化输出。Free 100-200 daily credits \u002F Plus $25 月度 12k credits \u002F Pro $249 月度 125k credits。",[26,4481,4482],{},"适合：要一站式 Super Agent 完成完整工作流（研究 → 文档 → 演示 → 网站）；重度内容创作者 + 营销 \u002F 销售（Call For Me 跟进）；中级专业用户（Plus $25 \u002F 月划算）。不适合：纯研究问答（Perplexity \u002F ChatGPT 更便宜）；预算极紧（credit 消耗快）；需要透明引用 \u002F 学术严谨（Sparkpage 引用不如 Perplexity 清晰）；要画布多线程（用 Flowith）。",[21,4484,34],{"id":34},[36,4486,4487,4493,4499,4505,4511,4517,4523,4529,4535,4541,4547,4553],{},[39,4488,4489,4492],{},[42,4490,4491],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[39,4494,4495,4498],{},[42,4496,4497],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[39,4500,4501,4504],{},[42,4502,4503],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[39,4506,4507,4510],{},[42,4508,4509],{},"AI Slides","：10-15 张幻灯片含图表",[39,4512,4513,4516],{},[42,4514,4515],{},"AI Sites","：完整 landing page 一键生成",[39,4518,4519,4522],{},[42,4520,4521],{},"AI Video","：30-60s 短视频生成",[39,4524,4525,4528],{},[42,4526,4527],{},"AI Pods","：10 分钟 AI podcast 生成",[39,4530,4531,4534],{},[42,4532,4533],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[39,4536,4537,4540],{},[42,4538,4539],{},"AI Sheets","：CSV 数据分析 + 自动图表",[39,4542,4543,4546],{},[42,4544,4545],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[39,4548,4549,4552],{},[42,4550,4551],{},"iOS \u002F Android App","：移动端可用",[39,4554,4555,4558],{},[42,4556,4557],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[21,4560,108],{"id":108},[36,4562,4563,4568,4574,4579],{},[39,4564,4565,4567],{},[42,4566,843],{},"：100-200 daily credits（~3-8 简单任务）",[39,4569,4570,4573],{},[42,4571,4572],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[39,4575,4576,4578],{},[42,4577,849],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[39,4580,4581,4584],{},[42,4582,4583],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[130,4586,4587],{},[26,4588,4589],{},"Plus 一月做 10-15 个严肃任务（slides \u002F 研究 \u002F sites）；重度做视频 \u002F 通话 \u002F 多 sites 建议 Pro。",[21,4591,4593],{"id":4592},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[26,4595,4596],{},[42,4597,143],{},[36,4599,4600,4603,4606,4609,4612,4615,4618],{},[39,4601,4602],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[39,4604,4605],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[39,4607,4608],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[39,4610,4611],{},"Plus 顶级模型不限 chat 性价比超高，比 ChatGPT Plus $20 + Claude Pro $20 + Perplexity Pro $20 全订便宜",[39,4613,4614],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[39,4616,4617],{},"Sparkpage 输出可直接分享 + 嵌入",[39,4619,4620],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[26,4622,4623],{},[42,4624,168],{},[36,4626,4627,4630,4633,4636,4639,4642,4645,4648],{},[39,4628,4629],{},"credit 消耗不透明，复杂任务前难估算成本",[39,4631,4632],{},"用户反馈 customer support + refund 有问题",[39,4634,4635],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[39,4637,4638],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[39,4640,4641],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[39,4643,4644],{},"地域限制：印度 \u002F 巴西 \u002F 巴基斯坦 \u002F 尼日利亚 \u002F 印尼等部分国家 Plus \u002F Pro 不可用",[39,4646,4647],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[39,4649,4650],{},"Pro $249 月价格陡，中端断档",[21,4652,936],{"id":936},[630,4654,4655,4658,4661,4664,4667,4670],{},[39,4656,4657],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[39,4659,4660],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[39,4662,4663],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[39,4665,4666],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[39,4668,4669],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[39,4671,4672],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[21,4674,364],{"id":364},[366,4676,4677,4693],{},[369,4678,4679],{},[372,4680,4681,4683,4685,4687,4690],{},[375,4682,377],{},[375,4684,4135],{},[375,4686,3931],{},[375,4688,4689],{},"Perplexity Pro",[375,4691,4692],{},"ChatGPT Plus",[390,4694,4695,4710,4725,4739,4753,4768,4781,4794,4808],{},[372,4696,4697,4699,4702,4705,4707],{},[395,4698,4491],{},[395,4700,4701],{},"✅ 多 Agent",[395,4703,4704],{},"✅ Neo 自治",[395,4706,437],{},[395,4708,4709],{},"Operator",[372,4711,4712,4715,4718,4721,4723],{},[395,4713,4714],{},"可视化输出",[395,4716,4717],{},"✅ Sparkpage",[395,4719,4720],{},"✅ 画布",[395,4722,437],{},[395,4724,437],{},[372,4726,4727,4730,4733,4735,4737],{},[395,4728,4729],{},"真实电话调用",[395,4731,4732],{},"✅ Call For Me",[395,4734,437],{},[395,4736,437],{},[395,4738,437],{},[372,4740,4741,4744,4747,4749,4751],{},[395,4742,4743],{},"一键建站",[395,4745,4746],{},"✅ AI Sites",[395,4748,437],{},[395,4750,437],{},[395,4752,437],{},[372,4754,4755,4758,4761,4763,4765],{},[395,4756,4757],{},"视频 \u002F 音频生成",[395,4759,4760],{},"✅ Video \u002F Pods",[395,4762,440],{},[395,4764,437],{},[395,4766,4767],{},"Sora（独立）",[372,4769,4770,4773,4775,4777,4779],{},[395,4771,4772],{},"引用透明",[395,4774,2458],{},[395,4776,437],{},[395,4778,1806],{},[395,4780,440],{},[372,4782,4783,4785,4788,4790,4792],{},[395,4784,1152],{},[395,4786,4787],{},"$25\u002F月（Plus）",[395,4789,4230],{},[395,4791,1155],{},[395,4793,1155],{},[372,4795,4796,4799,4802,4804,4806],{},[395,4797,4798],{},"最贵",[395,4800,4801],{},"$249\u002F月",[395,4803,4441],{},[395,4805,1155],{},[395,4807,1363],{},[372,4809,4810,4812,4815,4818,4821],{},[395,4811,506],{},[395,4813,4814],{},"一站式 Super Agent",[395,4816,4817],{},"画布深度",[395,4819,4820],{},"搜索引用",[395,4822,4250],{},[21,4824,521],{"id":521},[36,4826,4827,4833,4839,4845,4851,4857,4863,4869,4875],{},[39,4828,4829,4832],{},[42,4830,4831],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[39,4834,4835,4838],{},[42,4836,4837],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[39,4840,4841,4844],{},[42,4842,4843],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[39,4846,4847,4850],{},[42,4848,4849],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[39,4852,4853,4856],{},[42,4854,4855],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[39,4858,4859,4862],{},[42,4860,4861],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[39,4864,4865,4868],{},[42,4866,4867],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[39,4870,4871,4874],{},[42,4872,4873],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[39,4876,4877,4880],{},[42,4878,4879],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[21,4882,575],{"id":574},[36,4884,4885,4888,4891,4894,4897,4900,4903,4906],{},[39,4886,4887],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[39,4889,4890],{},"✅ Plus $25 重度多模型不限 chat 用户",[39,4892,4893],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[39,4895,4896],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[39,4898,4899],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[39,4901,4902],{},"❌ 学术严谨场景",[39,4904,4905],{},"❌ 预算极紧",[39,4907,4908],{},"❌ 要画布 + 多线程深度（用 Flowith）",[21,4910,604],{"id":604},[36,4912,4913,4917,4921],{},[39,4914,4915],{},[610,4916,3827],{"href":3826},[39,4918,4919],{},[610,4920,613],{"href":612},[39,4922,4923],{},[610,4924,4359],{"href":3889},[21,4926,628],{"id":628},[630,4928,4929,4936,4943,4950],{},[39,4930,4931,4932],{},"Genspark Pricing 官方 ",[610,4933,4934],{"href":4934,"rel":4935},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[639],[39,4937,4938,4939],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[610,4940,4941],{"href":4941,"rel":4942},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[639],[39,4944,4945,4946],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[610,4947,4948],{"href":4948,"rel":4949},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[639],[39,4951,4952,4953],{},"Lindy — Genspark Features 2026 Tested ",[610,4954,4955],{"href":4955,"rel":4956},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[639],{"title":202,"searchDepth":250,"depth":250,"links":4958},[4959,4960,4961,4962,4963,4964,4965,4966,4967,4968],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":4592,"depth":224,"text":4593},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fgenspark.webp","Genspark 真实评测：2024 年创立于 Palo Alto，CEO Eric Jing（前 Microsoft Bing \u002F 小冰），团队来自 Microsoft + Google。差异点：『多 Agent 架构』而非单 LLM + Super Agent 自治执行（研究 \u002F 内容 \u002F 调用 \u002F 建站 \u002F 视频 \u002F 数据分析）+ Sparkpage 可视化输出 + Call For Me 真实电话调度。2026-04 ARR $250M（12 个月内达成）。Free 100-200 daily credits \u002F Plus $25 月度 12k credits \u002F Pro $249 月度 125k credits。",[4972,4975,4978,4981],{"q":4973,"a":4974},"credit 消耗如何？","Simple Sparkpage \u002F 研究 30-80 credits；AI Slides（10-15 张 + 图表）250-450；AI Sites（完整 landing）600-1200；AI Video（30-60s）800-2000；Call For Me（2-4 分钟）400-900；AI Pods（10 分钟 podcast）1000-1800。Plus 12k credits 大约一个月做 10-15 个严肃任务（不重度跑视频 \u002F 通话）。",{"q":4976,"a":4977},"Call For Me 真的能打电话？","对，调用真实电话 API（背后用 Bland AI \u002F Vapi 类供应商），帮你预订餐厅 \u002F 跟进客户 \u002F 查信息。需要明确隐私 + 合规：欧盟 \u002F 加州的呼叫录音 \u002F 同意法规要遵守，敏感场景慎用。",{"q":4979,"a":4980},"多 Agent 架构和单 LLM 区别？","Genspark 不依赖单一 LLM，而是按任务类型路由到不同 agent + 模型组合（搜索 agent \u002F 研究 agent \u002F 内容 agent \u002F 调用 agent 等）。优势：每类任务用最适合的工具 + 大型搜索 + 验证流水线；劣势：黑盒程度高 + credit 消耗模型让用量不可预测。",{"q":4982,"a":4983},"和 Flowith \u002F ChatGPT \u002F Perplexity 怎么选？","Genspark 强在『全栈 Super Agent + 真实调用（电话 \u002F 搜索 \u002F 建站）+ Sparkpage 可视化』。Flowith 强在『画布 + 长任务自治 + Knowledge Garden』。Perplexity 强在『搜索 + 引用透明 + 价格便宜』。ChatGPT 强在『通用 + 生态成熟』。一站式 Super Agent → Genspark；画布多线程 → Flowith；搜索问答 → Perplexity。",[697,696,1345],{},[704,4426,702],[4988,4990,4993],{"plan":843,"price":707,"features":4989,"notes":4432},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":4572,"price":4233,"features":4991,"notes":4992},"12,000 月度 credits + 顶级模型不限聊天（o3-Pro \u002F Claude \u002F Gemini）+ Slides \u002F 研究","年付 $240",{"plan":849,"price":4801,"features":4994,"notes":4995},"125,000 月度 credits + 优先速度 + 早期功能 + AI Sites \u002F Video \u002F Call","年付 $2388","Free (100-200 daily) \u002F Plus $25·月 (12k credits) \u002F Pro $249·月 (125k credits) \u002F 年付有折扣",[4998],"onboarding\u002Fsuper-agent-workflow",[724,4448,5000],"openmanus-deep-review",{"power":264,"ux":257,"price":250,"cn_support":250,"stability":257},{"title":4135,"description":4970},"Genspark 评测 2026：AI Super Agent，多 Agent 架构 + Sparkpage",[5005,5007,5009,5011],{"name":5006,"url":4934,"accessed":732},"Genspark 官网 + Pricing",{"name":5008,"url":4941,"accessed":732},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":5010,"url":4948,"accessed":732},"Rimo — Genspark 2026 + ARR $250M",{"name":5012,"url":4955,"accessed":732},"Lindy — Genspark Features Tested 2026","tools\u002Fagent\u002Fgeneral\u002Fgenspark","Palo Alto 出品的 AI Super Agent——多 Agent 架构 + Sparkpage \u002F Slides \u002F Sites \u002F Video \u002F Call For Me 全栈",[5016,3369,5017,5018,5019],"super-agent","sparkpage","call-agent","genspark","Super Agent 类目里目前最完整的一站式产品——研究 \u002F 内容 \u002F 建站 \u002F 视频 \u002F 电话调度全包。Plus $25 \u002F 月在重度场景非常划算。要纯研究问答用 Perplexity \u002F ChatGPT 更便宜。","https:\u002F\u002Fgenspark.ai","K7tEvPPxVUS-eXuVnXfonA68X8BnuMIm-9NB1JivuNk",{"id":5024,"title":5025,"alternatives":5026,"api_compatible":5027,"body":5029,"category":3872,"chinese_friendly":224,"cover":5703,"description":5704,"domestic":680,"extension":681,"faq":16,"free":680,"github":5705,"languages":5706,"lastVerified":16,"meta":5707,"models":5708,"navigation":253,"notSuitable":5713,"opensource":253,"path":5718,"pillar":700,"platforms":5719,"priceTable":5720,"pricing":5732,"published":5733,"relatedPlaybooks":16,"relatedReviews":5734,"score":5736,"self_host":253,"seo":5737,"seoTitle":5738,"slug":5739,"sources":5740,"stem":5755,"suitable":5756,"tagline":5762,"tags":5763,"updated":5733,"verdict":5770,"website":5705,"__hash__":5771},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent.md","Hermes Agent",[15,2162,14],[5028,1395,2654],"openai",{"type":18,"value":5030,"toc":5681},[5031,5034,5041,5047,5057,5061,5066,5073,5099,5106,5110,5117,5131,5134,5138,5144,5223,5229,5231,5234,5240,5258,5261,5264,5267,5287,5290,5293,5296,5310,5313,5316,5373,5388,5391,5397,5411,5414,5417,5442,5444,5497,5503,5506,5612,5614,5620,5626,5632,5638,5644,5646,5678],[21,5032,5033],{"id":5033},"一句话结论",[26,5035,5036,5037,5040],{},"如果你想要一个",[42,5038,5039],{},"完全开源、能自我进化、有长期记忆、可以部署在十几个消息平台上的 AI Agent","——Hermes Agent 在 2026 年是最成熟的选择。GitHub 10 万 Star，2 月开源到 5 月就翻了一倍。",[26,5042,5043,5044],{},"但它的门槛比 Manus 高一个量级：没有漂亮的 Web 界面，需要自己装 Python 环境、配置 LLM API、管理记忆数据库。",[42,5045,5046],{},"它面向的是\"想拥有自己 Agent 基础设施\"的极客，不是\"想要一个好用 AI 助手\"的普通用户。",[5048,5049,5051],"callout",{"type":5050},"info",[26,5052,5053,5056],{},[42,5054,5055],{},"定位区分","：Manus 是\"帮你干完事的云端 Agent\"，OpenClaw 是\"常驻你电脑的 AI 操作系统\"，Hermes Agent 是\"你能完全掌控和改造的自进化 Agent\"。三者目标不同，选型看你需要的是\"用\"还是\"拥有\"。",[21,5058,5060],{"id":5059},"hermes-agent-解决的核心问题","Hermes Agent 解决的核心问题",[5062,5063,5065],"h3",{"id":5064},"问题-1agent-没有长期记忆","问题 1：Agent 没有\"长期记忆\"",[26,5067,5068,5069,5072],{},"大多数 AI Agent 的记忆只有当前会话的上下文窗口。你昨天让它做的事、偏好、上下文，今天全忘了。Hermes Agent 内置了",[42,5070,5071],{},"分层记忆系统","：",[36,5074,5075,5081,5087,5093],{},[39,5076,5077,5080],{},[42,5078,5079],{},"工作记忆","：当前会话上下文，类似人类短期记忆",[39,5082,5083,5086],{},[42,5084,5085],{},"情景记忆","：记录每次交互的时间、事件、结果，支持按时间线回溯",[39,5088,5089,5092],{},[42,5090,5091],{},"语义记忆","：从交互中抽取知识（你告诉它的偏好、事实、规则），长期保存",[39,5094,5095,5098],{},[42,5096,5097],{},"技能记忆","：Agent 自动总结\"怎么做某件事\"的步骤，下次直接调用",[26,5100,5101,5102,5105],{},"这意味着 Hermes Agent 是",[42,5103,5104],{},"越用越好用","的——它会记住你的工作习惯、项目上下文、你纠正过的错误。",[5062,5107,5109],{"id":5108},"问题-2单个模型能力有天花板","问题 2：单个模型能力有天花板",[26,5111,5112,5113,5116],{},"2026 年 6 月，Nous Research 给 Hermes Agent 加了 ",[42,5114,5115],{},"MoA（Mixture of Agents）"," 功能：",[36,5118,5119,5122,5125,5128],{},[39,5120,5121],{},"多个 Agent 实例并行处理同一个任务",[39,5123,5124],{},"每个 Agent 可以用不同模型（Claude \u002F GPT \u002F Hermes \u002F 本地模型）",[39,5126,5127],{},"结果由一个\"聚合 Agent\"合并去重、交叉验证",[39,5129,5130],{},"最终输出质量 > 任何单个模型",[26,5132,5133],{},"实际效果：用 3 个中档模型做 MoA，输出质量可以接近 1 个顶级模型，但成本只有 1\u002F3。",[5062,5135,5137],{"id":5136},"问题-3agent-只能在一个地方用","问题 3：Agent 只能在一个地方用",[26,5139,5140,5141,5072],{},"Hermes Agent 支持 ",[42,5142,5143],{},"14 个消息渠道",[366,5145,5146,5155],{},[369,5147,5148],{},[372,5149,5150,5152],{},[375,5151,397],{},[375,5153,5154],{},"状态",[390,5156,5157,5165,5172,5179,5186,5193,5200,5207,5215],{},[372,5158,5159,5162],{},[395,5160,5161],{},"Telegram",[395,5163,5164],{},"✅ 推荐，最稳定",[372,5166,5167,5170],{},[395,5168,5169],{},"Discord",[395,5171,1100],{},[372,5173,5174,5177],{},[395,5175,5176],{},"Slack",[395,5178,1100],{},[372,5180,5181,5184],{},[395,5182,5183],{},"WhatsApp",[395,5185,1100],{},[372,5187,5188,5191],{},[395,5189,5190],{},"Signal",[395,5192,1100],{},[372,5194,5195,5198],{},[395,5196,5197],{},"Email",[395,5199,1100],{},[372,5201,5202,5205],{},[395,5203,5204],{},"CLI（终端）",[395,5206,1100],{},[372,5208,5209,5212],{},[395,5210,5211],{},"Web UI",[395,5213,5214],{},"✅ 基础版",[372,5216,5217,5220],{},[395,5218,5219],{},"微信",[395,5221,5222],{},"⚠️ 非官方，不稳定",[26,5224,5225,5226],{},"你可以在 Telegram 上给它发消息让它做事，结果推送到 Discord；或者在 CLI 里开发时让它监听 Git 提交自动跑测试。",[42,5227,5228],{},"一个 Agent 实例，多个入口。",[21,5230,34],{"id":34},[5062,5232,5233],{"id":5233},"自我进化",[26,5235,5236,5237,5072],{},"Hermes Agent 最独特的能力是 ",[42,5238,5239],{},"Profile 系统",[36,5241,5242,5245,5248,5255],{},[39,5243,5244],{},"每个 Profile 是一个\"人格 + 技能包\"的组合",[39,5246,5247],{},"你可以创建多个 Profile（如\"代码助手\"、\"研究助手\"、\"项目经理\"）",[39,5249,5250,5251,5254],{},"Agent 在执行任务后会",[42,5252,5253],{},"自动总结经验","，更新 Profile 的技能库",[39,5256,5257],{},"下次遇到类似任务，直接调用已有技能，不用从零开始",[26,5259,5260],{},"这意味着 Hermes Agent 不是\"每次都从零开始的 ChatBot\"，而是\"会积累经验的数字员工\"。",[5062,5262,5263],{"id":5263},"工具调用",[26,5265,5266],{},"Hermes Agent 支持自定义工具（function calling）：",[36,5268,5269,5272,5275,5278,5281,5284],{},[39,5270,5271],{},"搜索引擎（Google \u002F Bing \u002F SearXNG）",[39,5273,5274],{},"代码执行（Python sandbox）",[39,5276,5277],{},"文件读写",[39,5279,5280],{},"Web 浏览（Playwright）",[39,5282,5283],{},"自定义 API 调用",[39,5285,5286],{},"数据库查询",[26,5288,5289],{},"工具配置是 JSON 格式，添加新工具只需写一个 function 定义。",[5062,5291,5292],{"id":5292},"记忆管理",[26,5294,5295],{},"记忆系统基于向量数据库（默认 ChromaDB）：",[36,5297,5298,5301,5304,5307],{},[39,5299,5300],{},"自动从对话中提取关键信息存入语义记忆",[39,5302,5303],{},"支持手动\"forget\"删除特定记忆",[39,5305,5306],{},"记忆有 TTL（过期时间），避免无限膨胀",[39,5308,5309],{},"支持记忆导出\u002F导入（JSON 格式），方便迁移",[21,5311,5312],{"id":5312},"使用体验",[5062,5314,5315],{"id":5315},"安装部署",[197,5317,5319],{"className":199,"code":5318,"language":201,"meta":202,"style":202},"git clone https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\ncd hermes-agent\npip install -r requirements.txt\ncp .env.example .env\n# 配置 LLM API key、消息平台 token\npython -m hermes.agent\n",[204,5320,5321,5330,5337,5347,5358,5363],{"__ignoreMap":202},[207,5322,5323,5325,5327],{"class":209,"line":210},[207,5324,214],{"class":213},[207,5326,218],{"class":217},[207,5328,5329],{"class":217}," https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\n",[207,5331,5332,5334],{"class":209,"line":224},[207,5333,228],{"class":227},[207,5335,5336],{"class":217}," hermes-agent\n",[207,5338,5339,5341,5343,5345],{"class":209,"line":250},[207,5340,238],{"class":213},[207,5342,241],{"class":217},[207,5344,244],{"class":227},[207,5346,247],{"class":217},[207,5348,5349,5352,5355],{"class":209,"line":257},[207,5350,5351],{"class":213},"cp",[207,5353,5354],{"class":217}," .env.example",[207,5356,5357],{"class":217}," .env\n",[207,5359,5360],{"class":209,"line":264},[207,5361,5362],{"class":260},"# 配置 LLM API key、消息平台 token\n",[207,5364,5365,5367,5370],{"class":209,"line":276},[207,5366,335],{"class":213},[207,5368,5369],{"class":227}," -m",[207,5371,5372],{"class":217}," hermes.agent\n",[26,5374,5375,5376,5379,5380,5383,5384,5387],{},"部署需要 ",[42,5377,5378],{},"Python 3.11+","、",[42,5381,5382],{},"至少 8GB RAM","（跑本地模型需要更多）、",[42,5385,5386],{},"向量数据库","（默认 ChromaDB，可选 Qdrant）。",[5062,5389,5390],{"id":5390},"日常使用",[26,5392,5393,5394,5072],{},"最顺的使用方式是 ",[42,5395,5396],{},"Telegram + Claude API",[630,5398,5399,5402,5405,5408],{},[39,5400,5401],{},"在 Telegram 上给 Agent 发消息",[39,5403,5404],{},"Agent 读取记忆、规划任务、调用工具",[39,5406,5407],{},"执行过程中实时推送进度",[39,5409,5410],{},"完成后推送结果 + 自动更新记忆",[26,5412,5413],{},"体感类似\"有一个 7×24 小时在线的助手\"，但它不是即问即答——复杂任务可能需要 2-5 分钟。",[5062,5415,5416],{"id":5416},"短板",[36,5418,5419,5425,5430,5436],{},[39,5420,5421,5424],{},[42,5422,5423],{},"文档偏英文","：几乎没有中文文档，国内用户上手门槛高",[39,5426,5427,5429],{},[42,5428,2455],{},"：项目迭代极快（每周多个 commit），偶尔有 breaking change",[39,5431,5432,5435],{},[42,5433,5434],{},"资源消耗","：记忆系统 + 多 Agent 会占用较多内存和 API token",[39,5437,5438,5441],{},[42,5439,5440],{},"UI 简陋","：Web UI 只是基础版，不如 Manus \u002F OpenClaw 精致",[21,5443,108],{"id":108},[366,5445,5446,5456],{},[369,5447,5448],{},[372,5449,5450,5453],{},[375,5451,5452],{},"项目",[375,5454,5455],{},"成本",[390,5457,5458,5466,5474,5481,5489],{},[372,5459,5460,5463],{},[395,5461,5462],{},"Hermes Agent 本体",[395,5464,5465],{},"免费（开源）",[372,5467,5468,5471],{},[395,5469,5470],{},"LLM API",[395,5472,5473],{},"BYOK，用 Claude\u002FGPT 按各自 API 计费",[372,5475,5476,5478],{},[395,5477,2425],{},[395,5479,5480],{},"免费但需要 GPU（70B 模型需 ~48GB VRAM）",[372,5482,5483,5486],{},[395,5484,5485],{},"服务器",[395,5487,5488],{},"自托管需要一台 VPS（推荐 4 核 16GB 起步）",[372,5490,5491,5494],{},[395,5492,5493],{},"消息平台",[395,5495,5496],{},"Telegram\u002FDiscord 等均免费",[26,5498,5499,5502],{},[42,5500,5501],{},"最低成本","：一台 $5\u002F月 VPS + Claude API 按量付费 ≈ $10-20\u002F月可跑日常任务。",[21,5504,5505],{"id":5505},"与同类对比",[366,5507,5508,5521],{},[369,5509,5510],{},[372,5511,5512,5514,5516,5519],{},[375,5513,377],{},[375,5515,5025],{},[375,5517,5518],{},"Manus",[375,5520,385],{},[390,5522,5523,5533,5545,5558,5572,5586,5598],{},[372,5524,5525,5527,5529,5531],{},[395,5526,414],{},[395,5528,1100],{},[395,5530,426],{},[395,5532,1100],{},[372,5534,5535,5537,5540,5542],{},[395,5536,5233],{},[395,5538,5539],{},"✅ Profile 系统",[395,5541,426],{},[395,5543,5544],{},"⚠️ 有限",[372,5546,5547,5550,5553,5556],{},[395,5548,5549],{},"长期记忆",[395,5551,5552],{},"✅ 分层记忆",[395,5554,5555],{},"❌ 单会话",[395,5557,1100],{},[372,5559,5560,5563,5566,5569],{},[395,5561,5562],{},"跨平台部署",[395,5564,5565],{},"✅ 14 渠道",[395,5567,5568],{},"❌ Web only",[395,5570,5571],{},"⚠️ 桌面+CLI",[372,5573,5574,5577,5580,5583],{},[395,5575,5576],{},"上手难度",[395,5578,5579],{},"★★★★☆",[395,5581,5582],{},"★☆☆☆☆",[395,5584,5585],{},"★★★☆☆",[372,5587,5588,5591,5594,5596],{},[395,5589,5590],{},"中文体验",[395,5592,5593],{},"★★☆☆☆",[395,5595,5579],{},[395,5597,5585],{},[372,5599,5600,5603,5606,5609],{},[395,5601,5602],{},"适合人群",[395,5604,5605],{},"极客\u002F研究者",[395,5607,5608],{},"普通用户",[395,5610,5611],{},"开发者",[21,5613,2552],{"id":2551},[26,5615,5616,5619],{},[42,5617,5618],{},"Q：Hermes Agent 能用中文交互吗？","\n能，但体验一般。Hermes 4 模型的中文能力不如 Claude\u002FGPT，且文档和社区以英文为主。建议用 Claude\u002FGPT 作为后端模型，中文交互质量会好很多。",[26,5621,5622,5625],{},[42,5623,5624],{},"Q：和 OpenManus 有什么区别？","\nOpenManus 是 Manus 的开源复刻版，定位是\"通用 Agent 执行器\"。Hermes Agent 更侧重\"长期陪伴+自我进化+多平台部署\"。OpenManus 更轻量，Hermes 功能更全但更重。",[26,5627,5628,5631],{},[42,5629,5630],{},"Q：需要什么硬件？","\n纯 API 模式（用 Claude\u002FGPT）只需一台普通 VPS。跑本地 Hermes 4 70B 需要 ~48GB VRAM，405B 需要 ~240GB VRAM（多卡服务器）。",[26,5633,5634,5637],{},[42,5635,5636],{},"Q：记忆数据存在哪？","\n默认存在本地 ChromaDB（SQLite + 向量索引）。可以配置为 Qdrant、Weaviate 等远程向量数据库。数据完全自主，不会上传到任何第三方。",[26,5639,5640,5643],{},[42,5641,5642],{},"Q：能同时跑多个 Profile 吗？","\n可以。每个 Profile 是独立的记忆+技能库，可以并行运行。比如同时让\"代码助手\"Profile 审查代码、\"研究助手\"Profile 做市场调研。",[21,5645,604],{"id":604},[36,5647,5648,5654,5660,5666,5672],{},[39,5649,5650],{},[610,5651,5653],{"href":5652},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡",[39,5655,5656],{},[610,5657,5659],{"href":5658},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus 工具卡",[39,5661,5662],{},[610,5663,5665],{"href":5664},"\u002Fagent\u002Fdesktop\u002Fopenclaw.html","OpenClaw 工具卡",[39,5667,5668],{},[610,5669,5671],{"href":5670},"\u002Freview\u002Fmanus-deep-review.html","Manus 深度评测",[39,5673,5674],{},[610,5675,5677],{"href":5676},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark 对比",[662,5679,5680],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":5682},[5683,5684,5689,5694,5699,5700,5701,5702],{"id":5033,"depth":224,"text":5033},{"id":5059,"depth":224,"text":5060,"children":5685},[5686,5687,5688],{"id":5064,"depth":250,"text":5065},{"id":5108,"depth":250,"text":5109},{"id":5136,"depth":250,"text":5137},{"id":34,"depth":224,"text":34,"children":5690},[5691,5692,5693],{"id":5233,"depth":250,"text":5233},{"id":5263,"depth":250,"text":5263},{"id":5292,"depth":250,"text":5292},{"id":5312,"depth":224,"text":5312,"children":5695},[5696,5697,5698],{"id":5315,"depth":250,"text":5315},{"id":5390,"depth":250,"text":5390},{"id":5416,"depth":250,"text":5416},{"id":108,"depth":224,"text":108},{"id":5505,"depth":224,"text":5505},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},"\u002Fimg\u002Ftools\u002Fhermes-agent.webp","Hermes Agent 真实评测：Nous Research 出品的开源自进化 AI Agent，2026 年 2 月开源即获 10 万 GitHub Star。MoA 混合智能体架构、记忆系统、技能自动创建、跨平台部署（Telegram\u002FDiscord\u002FSlack\u002FWhatsApp\u002FCLI）。本文整理核心能力、使用体验、与 Manus\u002FOpenClaw 对比、适用场景。","https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent",[697],{},[5709,5710,5711,5712],"hermes-4-405b","hermes-4-70b","claude-sonnet-4","gpt-5",[5714,5715,5716,5717],"需要中文为主交互的玩家（文档和界面均为英文）","不想折腾部署和配置的个人用户","需要生产级稳定性（项目仍在快速迭代）","预算有限且没有 GPU 服务器的用户","\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[1350,1348,1349],[5721,5726],{"plan":5722,"price":707,"limit":5723,"cn_pay":5724,"note":5725},"开源版","完整功能，自托管","—","BYOK 模式",{"plan":5727,"price":5728,"limit":5729,"cn_pay":5730,"note":5731},"API（Hermes 4）","按 token 计费","405B 模型按量付费","⚠️ 需海外卡","不想自托管时","免费（开源，BYOK）","2026-07-04",[5735],"openhuman-deep-review",{"power":257,"ux":250,"price":264,"cn_support":224,"stability":250},{"title":5025,"description":5704},"Hermes Agent 评测 2026：Nous Research 开源自进化 AI Agent，10 万 Star","agent\u002Fgeneral\u002Fhermes-agent",[5741,5743,5746,5749,5752],{"title":5742,"url":5705},"Hermes Agent GitHub",{"title":5744,"url":5745},"Nous Research 官网","https:\u002F\u002Fnousresearch.com",{"title":5747,"url":5748},"Hermes Agent 安装教程","https:\u002F\u002Fblog.csdn.net\u002Fyweng18\u002Farticle\u002Fdetails\u002F161148047",{"title":5750,"url":5751},"Hermes MoA 体验报告","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7657411078791365171\u002F",{"title":5753,"url":5754},"Hermes vs OpenCode 对比","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7645892543409816064\u002F","tools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[5757,5758,5759,5760,5761],"需要自托管、数据完全自主的 AI Agent","对 Agent 自我进化 \u002F 记忆系统有研究兴趣","需要跨平台部署（Telegram \u002F Discord \u002F Slack 等多通道）","有 GPU 服务器可以跑 Hermes 4 模型","想要一个长期陪伴型个人 Agent","Nous Research 开源自进化 AI Agent，10 万 Star，MoA 混合智能体",[5764,5765,745,5766,5767,5768,5769],"general-agent","autonomous","self-evolving","memory","nous-research","moa","2026 最火开源 Agent。MoA 混合智能体+自我进化+记忆系统+跨平台部署，GitHub 10 万 Star。适合长期陪伴型任务和自托管 Agent 研究，但中文支持和文档偏弱。","3gxu2kQEY9RgT_Ir0N2dPCaoLfjN4jFfYElq7IKZGhA",{"id":5773,"title":5518,"alternatives":5774,"api_compatible":5777,"body":5778,"category":3872,"chinese_friendly":257,"cover":6669,"description":6670,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":6671,"lastVerified":16,"meta":6672,"models":6673,"navigation":253,"notSuitable":6677,"opensource":680,"path":6682,"pillar":700,"platforms":6683,"priceTable":6684,"pricing":6698,"published":6699,"relatedPlaybooks":6700,"relatedReviews":6702,"score":6703,"self_host":680,"seo":6704,"seoTitle":6705,"slug":15,"sources":6706,"stem":6722,"suitable":6723,"tagline":6729,"tags":6730,"updated":732,"verdict":6734,"website":6159,"__hash__":6735},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md",[3933,5775,5776],"coding\u002Fagent\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":18,"value":5779,"toc":6649},[5780,5782,5820,5825,5828,5891,5894,5898,5906,5911,5918,5922,5930,5995,6000,6004,6011,6015,6023,6028,6045,6048,6051,6054,6061,6064,6070,6125,6131,6137,6142,6148,6152,6195,6198,6237,6240,6408,6413,6430,6435,6455,6458,6524,6526,6529,6546,6549,6570,6572,6622,6624,6641],[21,5781,24],{"id":23},[5783,5784,5789,5805],"div",{"className":5785},[5786,5787,5788],"card","p-5","my-4",[26,5790,5791,5794,5795,5798,5799,5804],{},[42,5792,5793],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[42,5796,5797],{},"邀请码一度被炒到 ¥5 万-10 万","（",[610,5800,5803],{"href":5801,"rel":5802},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[639],"据维基百科引用 China Daily 报道","）。多 sub-agent 并行架构——浏览、数据分析、代码执行、写作各自专门子 agent，主 orchestrator 自动路由到 Claude \u002F Qwen \u002F 自研模型，结果合成交付。",[26,5806,5807,5808,5798,5811,5815,5816,5819],{},"2025-12 传被 ",[42,5809,5810],{},"Meta 以约 20-30 亿美元收购",[610,5812,5814],{"href":5801,"rel":5813},[639],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[42,5817,5818],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[130,5821,5822],{},[26,5823,5824],{},"来源说明：本文基于 manus.im 官方页面、Wikipedia \"Manus (AI agent)\" 条目、第三方评测（Pick Right \u002F HyzenPro \u002F Info-Tech Research Group \u002F 36Kr \u002F 世界经济论坛企业页）综合整理。Meta 收购案细节、产品路线图仍在变化中，请以最新官方公告为准。",[21,5826,5827],{"id":5827},"背景与公司",[36,5829,5830,5841,5847,5853,5859,5869,5879,5885],{},[39,5831,5832,5835,5836,5840],{},[42,5833,5834],{},"公司","：Butterfly Effect Pte. Ltd.（",[610,5837,5839],{"href":5801,"rel":5838},[639],"蝴蝶效应","），创始人 Xiao Hong（季逸超 Ji Yichao 为 Manus 联合创始人 + 首席科学家）",[39,5842,5843,5846],{},[42,5844,5845],{},"公司位置","：办公室在北京 + 武汉 + 新加坡，目标市场北美 \u002F 日本 \u002F 韩国（不主打中国大陆）",[39,5848,5849,5852],{},[42,5850,5851],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[39,5854,5855,5858],{},[42,5856,5857],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[39,5860,5861,5864,5865,5868],{},[42,5862,5863],{},"Manus 启动","：2024-10 立项，灵感来自 ",[610,5866,1058],{"href":5867},"\u002Fcoding\u002Fide\u002Fcursor.html","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[39,5870,5871,5874,5875],{},[42,5872,5873],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[610,5876,5878],{"href":5801,"rel":5877},[639],"Demo 视频 20 小时百万播放",[39,5880,5881,5884],{},[42,5882,5883],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[39,5886,5887,5890],{},[42,5888,5889],{},"Meta 收购","：2025-12-29 宣布，估值 20-30 亿美元，目前仍独立运营，但中国大陆已被屏蔽访问 + 关闭中文社交账号",[21,5892,5893],{"id":5893},"核心特性",[5062,5895,5897],{"id":5896},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[26,5899,5900,5905],{},[610,5901,5904],{"href":5902,"rel":5903},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[639],"Pick Right 2026-04 评测"," 描述的架构：",[130,5907,5908],{},[26,5909,5910],{},"\"Where most general-purpose AI products use one model end-to-end, Manus runs multiple specialized sub-agents in parallel: one handles web browsing, one handles data analysis, one handles code execution, one handles synthesis and writing.\"",[26,5912,5913,5914,5917],{},"主 orchestrator 给每一步选最合适的模型（Claude \u002F Qwen \u002F 自研），结果合成。这是 Manus 研究输出 ",[42,5915,5916],{},"引用密度更高、幻觉更少","的工程根源——分工 + 并行让每个 sub-agent 只做自己最擅长的部分。",[5062,5919,5921],{"id":5920},"通用-agent-模式","通用 Agent 模式",[26,5923,5924,5929],{},[610,5925,5928],{"href":5926,"rel":5927},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[639],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[366,5931,5932,5941],{},[369,5933,5934],{},[372,5935,5936,5938],{},[375,5937,1111],{},[375,5939,5940],{},"GAIA 准确率",[390,5942,5943,5955,5963,5971,5979,5987],{},[372,5944,5945,5950],{},[395,5946,5947],{},[42,5948,5949],{},"Manus AI",[395,5951,5952],{},[42,5953,5954],{},">65%（SOTA）",[372,5956,5957,5960],{},[395,5958,5959],{},"H2O.ai (h2oGPTe)",[395,5961,5962],{},"65%",[372,5964,5965,5968],{},[395,5966,5967],{},"Google Langfun",[395,5969,5970],{},"49%",[372,5972,5973,5976],{},[395,5974,5975],{},"Microsoft o1",[395,5977,5978],{},"38%",[372,5980,5981,5984],{},[395,5982,5983],{},"OpenAI GPT-4o",[395,5985,5986],{},"32%",[372,5988,5989,5992],{},[395,5990,5991],{},"OpenAI GPT-4 + Plugins",[395,5993,5994],{},"15-30%",[130,5996,5997],{},[26,5998,5999],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[5062,6001,6003],{"id":6002},"后台执行-长任务","后台执行 + 长任务",[26,6005,6006,6007,6010],{},"最特别的体验：任务下达后",[42,6008,6009],{},"可以关掉浏览器","，Manus 在云端继续跑（小时级），完成时通知。这种\"开着任务下班\"的模式是它 viral 的关键。",[5062,6012,6014],{"id":6013},"web-app-builder","Web App Builder",[26,6016,6017,6018,6022],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[610,6019,6021],{"href":5902,"rel":6020},[639],"Pick Right 评测"," 直白警告：",[130,6024,6025],{},[26,6026,6027],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[26,6029,6030,6031,6035,6036,6035,6040,6044],{},"复杂场景下出 bug 多，目前不建议生产部署，",[610,6032,6034],{"href":6033},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[610,6037,6039],{"href":6038},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[610,6041,6043],{"href":6042},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[5062,6046,6047],{"id":6047},"桌面应用",[26,6049,6050],{},"提供 desktop app，能读本地文件 + 集成你的机器，不仅限于浏览器内任务。",[5062,6052,6053],{"id":6053},"多模型路由",[26,6055,6056,6057,6060],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[42,6058,6059],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[21,6062,6063],{"id":6063},"价格与运行成本",[26,6065,6066,6069],{},[610,6067,6021],{"href":5902,"rel":6068},[639]," 公开档位：",[366,6071,6072,6084],{},[369,6073,6074],{},[372,6075,6076,6079,6081],{},[375,6077,6078],{},"档位",[375,6080,108],{},[375,6082,6083],{},"关键点",[390,6085,6086,6095,6104,6114],{},[372,6087,6088,6090,6092],{},[395,6089,843],{},[395,6091,707],{},[395,6093,6094],{},"每日有限 credits，够 1 个高强度任务\u002F天",[372,6096,6097,6099,6101],{},[395,6098,849],{},[395,6100,1155],{},[395,6102,6103],{},"大多数付费用户落点；中等 credit + 多模型",[372,6105,6106,6108,6111],{},[395,6107,4572],{},[395,6109,6110],{},"$50\u002F月",[395,6112,6113],{},"更高 credit + 优先队列，10+ 任务\u002F周",[372,6115,6116,6119,6122],{},[395,6117,6118],{},"Pro+ \u002F Team",[395,6120,6121],{},"最高 $200\u002F月",[395,6123,6124],{},"最大 credit + 团队空间（功能仍有限）",[26,6126,6127,6130],{},[42,6128,6129],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[26,6132,6133,5072],{},[610,6134,6136],{"href":5902,"rel":6135},[639],"Pick Right 真实使用反馈",[130,6138,6139],{},[26,6140,6141],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[26,6143,6144,6147],{},[42,6145,6146],{},"预算建议","：先用 Free 跑 3-5 个真实任务评估消耗速度，再决定档位。",[21,6149,6151],{"id":6150},"上手-5-分钟","上手 5 分钟",[630,6153,6154,6162,6165,6180,6183,6189,6192],{},[39,6155,6156,6157],{},"打开 ",[610,6158,6161],{"href":6159,"rel":6160},"https:\u002F\u002Fmanus.im",[639],"manus.im",[39,6163,6164],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[39,6166,6167,6168,6171,6172],{},"给一个完整任务描述（",[42,6169,6170],{},"关键","：不要碎片化指令，给全场景）\n",[197,6173,6178],{"className":6174,"code":6176,"language":6177},[6175],"language-text","\"调研欧洲前 10 大 EV 充电网络（覆盖率、价格、可靠性、充电速度），\n产出带引用的 Markdown 对比表\"\n","text",[204,6179,6176],{"__ignoreMap":202},[39,6181,6182],{},"选模型路由（Auto 推荐）",[39,6184,6185,6186,6188],{},"提交后",[42,6187,6009],{},"——任务在云端跑",[39,6190,6191],{},"完成后邮件 \u002F 站内通知",[39,6193,6194],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[21,6196,6197],{"id":6197},"国内使用注意事项",[630,6199,6200,6210,6216,6222],{},[39,6201,6202,5072,6205,6209],{},[42,6203,6204],{},"大陆访问被屏蔽",[610,6206,6208],{"href":5801,"rel":6207},[639],"Wikipedia 引用 36Kr 报道","，Butterfly Effect 已关闭中文社交账号、阻断中国大陆访问，原 Alibaba Qwen 合作版\"中文版 Manus\"已搁置",[39,6211,6212,6215],{},[42,6213,6214],{},"访问需稳定代理","：日韩 \u002F 美国节点",[39,6217,6218,6221],{},[42,6219,6220],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[39,6223,6224,6227,6228,6231,6232,6236],{},[42,6225,6226],{},"替代路径","：国内可考虑 ",[610,6229,4135],{"href":6230},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[610,6233,6235],{"href":6234},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[21,6238,6239],{"id":6239},"与同类怎么选",[366,6241,6242,6266],{},[369,6243,6244],{},[372,6245,6246,6248,6250,6256,6260,6263],{},[375,6247,377],{},[375,6249,5518],{},[375,6251,6252],{},[610,6253,6255],{"href":6254},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[375,6257,6258],{},[610,6259,4135],{"href":6230},[375,6261,6262],{},"ChatGPT Deep Research",[375,6264,6265],{},"GenAgent",[390,6267,6268,6287,6305,6322,6337,6353,6370,6388],{},[372,6269,6270,6273,6276,6279,6282,6285],{},[395,6271,6272],{},"核心定位",[395,6274,6275],{},"通用 Agent",[395,6277,6278],{},"AI 程序员",[395,6280,6281],{},"AI 搜索 + Agent",[395,6283,6284],{},"LLM Deep Research",[395,6286,4250],{},[372,6288,6289,6292,6295,6298,6300,6303],{},[395,6290,6291],{},"架构",[395,6293,6294],{},"多 sub-agent 并行",[395,6296,6297],{},"单 Agent + 沙盒",[395,6299,1120],{},[395,6301,6302],{},"单模型",[395,6304,5724],{},[372,6306,6307,6310,6313,6316,6318,6320],{},[395,6308,6309],{},"长任务",[395,6311,6312],{},"★★★★★ 小时级",[395,6314,6315],{},"★★★★★",[395,6317,5585],{},[395,6319,5579],{},[395,6321,5585],{},[372,6323,6324,6327,6329,6331,6333,6335],{},[395,6325,6326],{},"引用密度",[395,6328,6315],{},[395,6330,5585],{},[395,6332,5579],{},[395,6334,5585],{},[395,6336,5585],{},[372,6338,6339,6342,6345,6347,6349,6351],{},[395,6340,6341],{},"App Builder",[395,6343,6344],{},"⚠️ 有但 buggy",[395,6346,426],{},[395,6348,426],{},[395,6350,426],{},[395,6352,426],{},[372,6354,6355,6358,6361,6364,6366,6368],{},[395,6356,6357],{},"中文",[395,6359,6360],{},"⚠️ 大陆屏蔽",[395,6362,6363],{},"⚠️",[395,6365,6315],{},[395,6367,6363],{},[395,6369,5579],{},[372,6371,6372,6374,6377,6380,6383,6386],{},[395,6373,108],{},[395,6375,6376],{},"$20-$200",[395,6378,6379],{},"$500\u002F月",[395,6381,6382],{},"$24.99\u002F月",[395,6384,6385],{},"随 ChatGPT Plus",[395,6387,5724],{},[372,6389,6390,6393,6396,6399,6402,6405],{},[395,6391,6392],{},"适合场景",[395,6394,6395],{},"research \u002F 数据分析",[395,6397,6398],{},"写代码 \u002F 修 bug",[395,6400,6401],{},"信息检索",[395,6403,6404],{},"单次深度研究",[395,6406,6407],{},"综合",[26,6409,6410,5072],{},[42,6411,6412],{},"选 Manus 如果你",[36,6414,6415,6421,6424,6427],{},[39,6416,6417,6418],{},"重视 research \u002F 数据分析任务的 ",[42,6419,6420],{},"引用密度和结构化输出",[39,6422,6423],{},"想试\"开任务下班、明早看结果\"的工作流",[39,6425,6426],{},"海外 \u002F 能解决账号网络问题",[39,6428,6429],{},"预算 $20-$50\u002F月，重度用户",[26,6431,6432,5072],{},[42,6433,6434],{},"别选 Manus 如果你",[36,6436,6437,6446,6449,6452],{},[39,6438,6439,6440,6035,6442,6445],{},"国内裸用（",[610,6441,4135],{"href":6230},[610,6443,6444],{"href":6234},"Yuanbao"," 更顺）",[39,6447,6448],{},"想生产部署 App（Web App Builder bug 多）",[39,6450,6451],{},"团队协作场景（功能不完善）",[39,6453,6454],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[21,6456,6457],{"id":6457},"避坑清单",[36,6459,6460,6466,6476,6482,6488,6500,6506,6512],{},[39,6461,6462,6465],{},[42,6463,6464],{},"大陆访问已被官方屏蔽","：2025 年起阻断中国大陆访问，原\"中文版 Manus\"项目搁置",[39,6467,6468,5072,6471,6475],{},[42,6469,6470],{},"credit 烧得比官方页面暗示的快",[610,6472,6474],{"href":5902,"rel":6473},[639],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[39,6477,6478,6481],{},[42,6479,6480],{},"任务一启动无法控预算","：开始跑后只能 cancel 或等结束，credits 会一直消耗",[39,6483,6484,6487],{},[42,6485,6486],{},"Web App Builder 别上生产","：demo 漂亮，复杂场景翻车，Bolt.new \u002F Lovable \u002F v0 仍是生产部署更稳选项",[39,6489,6490,6493,6494,6499],{},[42,6491,6492],{},"每次任务从零开始","：没有持久 workspace，不像 ",[610,6495,6498],{"href":6496,"rel":6497},"https:\u002F\u002Fclaude.com",[639],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[39,6501,6502,6505],{},[42,6503,6504],{},"没有 HubSpot \u002F Salesforce \u002F Notion \u002F Slack 集成","：拿到结果后要自己手动搬到工具栈",[39,6507,6508,6511],{},[42,6509,6510],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[39,6513,6514,6517,6518,6523],{},[42,6515,6516],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[610,6519,6522],{"href":6520,"rel":6521},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[639],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[21,6525,575],{"id":574},[26,6527,6528],{},"✅ 适合：",[36,6530,6531,6534,6537,6540,6543],{},[39,6532,6533],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[39,6535,6536],{},"CSV \u002F Excel 重的数据分析任务",[39,6538,6539],{},"长任务 + 不想盯着看（小时级）",[39,6541,6542],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[39,6544,6545],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[26,6547,6548],{},"❌ 不适合：",[36,6550,6551,6554,6557,6560,6563],{},[39,6552,6553],{},"生产级应用部署",[39,6555,6556],{},"团队协作工作流",[39,6558,6559],{},"预算极敏感（free 档非常受限）",[39,6561,6562],{},"大陆稳定访问需求",[39,6564,6565,6566,6569],{},"需要深度持久上下文（用 ",[610,6567,6498],{"href":6496,"rel":6568},[639]," \u002F ChatGPT Custom GPT 等）",[21,6571,604],{"id":604},[36,6573,6574,6585,6596,6611],{},[39,6575,6576,6577,6035,6579,6581,6582,6584],{},"同类对比：",[610,6578,6255],{"href":6254},[610,6580,4135],{"href":6230}," \u002F Elicit \u002F ",[610,6583,6444],{"href":6234}," \u002F Metaso",[39,6586,6587,6588,6035,6592,6595],{},"概念：",[610,6589,6591],{"href":6590},"\u002Fwiki\u002Fai-agent.html","AI Agent",[610,6593,6594],{"href":6590},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[39,6597,6598,6599,6035,6603,6035,6607],{},"模型：",[610,6600,6602],{"href":6601},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[610,6604,6606],{"href":6605},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[610,6608,6610],{"href":6609},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[39,6612,6613,6614,6035,6618],{},"进阶：",[610,6615,6617],{"href":6616},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[610,6619,6621],{"href":6620},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[21,6623,628],{"id":628},[36,6625,6626,6632,6635,6638],{},[39,6627,6628,6629],{},"官网：",[610,6630,6159],{"href":6159,"rel":6631},[639],[39,6633,6634],{},"Wikipedia：\"Manus (AI agent)\" 条目",[39,6636,6637],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[39,6639,6640],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[26,6642,6643,6644,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 功能 \u002F 公司状态与最新官方信息不一致，请通过 ",[610,6645,6647],{"href":6646},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":202,"searchDepth":250,"depth":250,"links":6650},[6651,6652,6653,6661,6662,6663,6664,6665,6666,6667,6668],{"id":23,"depth":224,"text":24},{"id":5827,"depth":224,"text":5827},{"id":5893,"depth":224,"text":5893,"children":6654},[6655,6656,6657,6658,6659,6660],{"id":5896,"depth":250,"text":5897},{"id":5920,"depth":250,"text":5921},{"id":6002,"depth":250,"text":6003},{"id":6013,"depth":250,"text":6014},{"id":6047,"depth":250,"text":6047},{"id":6053,"depth":250,"text":6053},{"id":6063,"depth":224,"text":6063},{"id":6150,"depth":224,"text":6151},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fmanus.webp","Manus 真实评测：Butterfly Effect（蝴蝶效应）出品的通用 AI Agent，多 sub-agent 并行架构 + 多模型路由（Claude \u002F Qwen \u002F 自研）。2025-03 首发即引爆，2025-12 传被 Meta 以约 20 亿美元收购。AIHO 编辑部基于官方文档与多份评测整理。",[696,697],{},[5711,6674,6675,6676],"claude-opus-4","qwen-max","manus-internal",[6678,6679,6680,6681],"生产级 Web App 部署（Web App Builder 仍有 bug）","团队协作场景（功能未完善）","需要持久工作空间 \u002F 跨会话上下文","对成本极敏感（credits 烧得快）","\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus",[704,1349,1348,1350],[6685,6688,6691,6694],{"plan":843,"price":707,"limit":6686,"cn_pay":5724,"note":6687},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":849,"price":1155,"limit":6689,"cn_pay":5730,"note":6690},"更高 credit + 更长任务时长 + 多模型路由","个人主力档",{"plan":4572,"price":6110,"limit":6692,"cn_pay":6363,"note":6693},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":6695,"price":1363,"limit":6696,"cn_pay":6363,"note":6697},"Pro+\u002FTeam","最大 credit + 团队工作空间（功能受限）","团队功能仍有限","Free \u002F Pro $20\u002Fmo \u002F Plus $50\u002Fmo \u002F Pro+ Team 最高 $200\u002Fmo","2026-06-18",[6701],"onboarding\u002Fmanus-getting-started",[4448,724,5000],{"power":264,"ux":264,"price":250,"cn_support":257,"stability":250},{"title":5518,"description":6670},"Manus AI Agent 评测 2026：通用 AI 智能体，自主完成任务，对比 Devin",[6707,6709,6712,6714,6716,6719],{"title":6708,"url":6159},"Manus 官网",{"title":6710,"url":6711},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":6713,"url":5902},"Manus AI Review 2026 (Pick Right)",{"title":6715,"url":5926},"Info-Tech Manus Assessment",{"title":6717,"url":6718},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":6720,"url":6721},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[6724,6725,6726,6727,6728],"需要委托多步骤研究 \u002F 报告（带引用密度的 deep research）","数据分析（CSV \u002F Excel 重的任务）","需要","调研类工作（市场调研、竞品对比、文献综述）","对 Computer Use 类 Agent 实践有兴趣的人","通用 Agent 体感天花板，自主完成复杂多步骤任务",[5764,5765,6731,3369,6732,6733],"computer-use","butterfly-effect","monica","通用 Agent 体感天花板代表。多 sub-agent 并行 + 自动模型路由让 research \u002F 数据分析输出明显比 ChatGPT Deep Research 引用密度更高。慢、credit 烧得快、Web App Builder 仍有 bug，但任务跑通时确实让人惊艳。","D_3USoIRX1i-tNsMzyFhKfWICosFY8LK0cepfSlF8_U",{"id":6737,"title":6738,"alternatives":6739,"api_compatible":16,"body":6743,"category":3872,"chinese_friendly":250,"cover":7258,"description":7259,"domestic":680,"extension":681,"faq":7260,"free":680,"github":16,"languages":7272,"lastVerified":16,"meta":7273,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":7274,"pillar":700,"platforms":7275,"priceTable":7276,"pricing":7292,"published":720,"relatedPlaybooks":7293,"relatedReviews":16,"score":7295,"self_host":253,"seo":7296,"seoTitle":7297,"slug":7298,"sources":7299,"stem":7308,"suitable":16,"tagline":7309,"tags":7310,"updated":732,"verdict":7313,"website":7314,"__hash__":7315},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[6740,6741,6742],"coding\u002Flocal\u002Follama","coding\u002Flocal\u002Flm-studio","coding\u002Flocal\u002Fopen-webui",{"type":18,"value":6744,"toc":7246},[6745,6747,6750,6753,6755,6829,6831,6855,6860,6864,6868,6894,6898,6924,6926,6949,6951,7107,7109,7164,7166,7192,7194,7214,7216],[21,6746,24],{"id":23},[26,6748,6749],{},"Msty 是 privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器，独立开发者出品。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎，无需 CLI + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体并存 + Split Chats 同问题多模型并行 + Knowledge Stack（per-conversation RAG）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地无限 \u002F Aurum $149·年 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[26,6751,6752],{},"适合：隐私敏感 + 不愿数据上云；Mac mini \u002F Linux box 当私人 AI 服务器；想避开 Ollama CLI 的非工程师；多模型对比决策场景。不适合：硬件不行（7B+ 本地跑不动）；要 BYO API + 极简（用 Typing Mind）；要 mobile（无 iOS \u002F Android 移动 app）；团队协作（更适合 Claude Team）。",[21,6754,34],{"id":34},[36,6756,6757,6763,6769,6775,6781,6787,6793,6799,6805,6811,6817,6823],{},[39,6758,6759,6762],{},[42,6760,6761],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[39,6764,6765,6768],{},[42,6766,6767],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[39,6770,6771,6774],{},[42,6772,6773],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[39,6776,6777,6780],{},[42,6778,6779],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[39,6782,6783,6786],{},[42,6784,6785],{},"Prompt Studio","：变量 + 模板 + 测试",[39,6788,6789,6792],{},[42,6790,6791],{},"Persona Studio","：自定义角色 + 工具 + context",[39,6794,6795,6798],{},[42,6796,6797],{},"Skills Studio","：可复用能力包",[39,6800,6801,6804],{},[42,6802,6803],{},"Agent Mode","：多步执行 + 工具调用",[39,6806,6807,6810],{},[42,6808,6809],{},"Flowchart 对话","：分支可视化",[39,6812,6813,6816],{},[42,6814,6815],{},"Real-time 数据","：实时 web fetch",[39,6818,6819,6822],{},[42,6820,6821],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[39,6824,6825,6828],{},[42,6826,6827],{},"Cloud Sync","（Aurum）：跨设备同步对话",[21,6830,108],{"id":108},[36,6832,6833,6838,6844,6850],{},[39,6834,6835,6837],{},[42,6836,843],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[39,6839,6840,6843],{},[42,6841,6842],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[39,6845,6846,6849],{},[42,6847,6848],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[39,6851,6852,6854],{},[42,6853,833],{},"：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[130,6856,6857],{},[26,6858,6859],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[21,6861,6863],{"id":6862},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[26,6865,6866],{},[42,6867,143],{},[36,6869,6870,6873,6876,6879,6882,6885,6888,6891],{},[39,6871,6872],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[39,6874,6875],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[39,6877,6878],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[39,6880,6881],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[39,6883,6884],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[39,6886,6887],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[39,6889,6890],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[39,6892,6893],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[26,6895,6896],{},[42,6897,168],{},[36,6899,6900,6903,6906,6909,6912,6915,6918,6921],{},[39,6901,6902],{},"本地性能受硬件限制：M1 Air 跑 7B 慢，M3 Max \u002F Mac Studio \u002F 高端 GPU 更适合",[39,6904,6905],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[39,6907,6908],{},"桌面 only，无 iOS \u002F Android",[39,6910,6911],{},"llama.cpp 更新滞后官方上游 1-2 版本",[39,6913,6914],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[39,6916,6917],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[39,6919,6920],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[39,6922,6923],{},"中文 UI 不完整，部分功能仍是英文",[21,6925,936],{"id":936},[630,6927,6928,6931,6934,6937,6940,6943,6946],{},[39,6929,6930],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[39,6932,6933],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[39,6935,6936],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[39,6938,6939],{},"加云模型：OpenAI Key + Anthropic Key",[39,6941,6942],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[39,6944,6945],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[39,6947,6948],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[21,6950,364],{"id":364},[366,6952,6953,6969],{},[369,6954,6955],{},[372,6956,6957,6959,6961,6964,6967],{},[375,6958,377],{},[375,6960,6738],{},[375,6962,6963],{},"Ollama",[375,6965,6966],{},"LM Studio",[375,6968,2588],{},[390,6970,6971,6986,7001,7014,7026,7039,7053,7065,7077,7091],{},[372,6972,6973,6976,6979,6982,6984],{},[395,6974,6975],{},"GUI",[395,6977,6978],{},"✅ 颜值高",[395,6980,6981],{},"❌ CLI",[395,6983,1100],{},[395,6985,1100],{},[372,6987,6988,6991,6994,6996,6999],{},[395,6989,6990],{},"本地引擎",[395,6992,6993],{},"MLX\u002Fllama.cpp\u002FOllama",[395,6995,6963],{},[395,6997,6998],{},"llama.cpp",[395,7000,6998],{},[372,7002,7003,7006,7008,7010,7012],{},[395,7004,7005],{},"云模型",[395,7007,1100],{},[395,7009,426],{},[395,7011,426],{},[395,7013,440],{},[372,7015,7016,7018,7020,7022,7024],{},[395,7017,6773],{},[395,7019,1070],{},[395,7021,426],{},[395,7023,440],{},[395,7025,437],{},[372,7027,7028,7030,7033,7035,7037],{},[395,7029,6779],{},[395,7031,7032],{},"✅ per-conv",[395,7034,426],{},[395,7036,426],{},[395,7038,440],{},[372,7040,7041,7044,7047,7049,7051],{},[395,7042,7043],{},"Studios",[395,7045,7046],{},"✅ Prompt\u002FPersona\u002FSkills",[395,7048,437],{},[395,7050,437],{},[395,7052,437],{},[372,7054,7055,7057,7059,7061,7063],{},[395,7056,414],{},[395,7058,426],{},[395,7060,423],{},[395,7062,426],{},[395,7064,2390],{},[372,7066,7067,7069,7071,7073,7075],{},[395,7068,1152],{},[395,7070,707],{},[395,7072,707],{},[395,7074,707],{},[395,7076,707],{},[372,7078,7079,7082,7085,7087,7089],{},[395,7080,7081],{},"终身",[395,7083,7084],{},"$349",[395,7086,437],{},[395,7088,437],{},[395,7090,437],{},[372,7092,7093,7095,7098,7101,7104],{},[395,7094,506],{},[395,7096,7097],{},"桌面颜值 + 多模型",[395,7099,7100],{},"CLI \u002F Server",[395,7102,7103],{},"模型市场",[395,7105,7106],{},"严格开源",[21,7108,521],{"id":521},[36,7110,7111,7117,7123,7129,7135,7141,7147,7153,7159],{},[39,7112,7113,7116],{},[42,7114,7115],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[39,7118,7119,7122],{},[42,7120,7121],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[39,7124,7125,7128],{},[42,7126,7127],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[39,7130,7131,7134],{},[42,7132,7133],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[39,7136,7137,7140],{},[42,7138,7139],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[39,7142,7143,7146],{},[42,7144,7145],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[39,7148,7149,7152],{},[42,7150,7151],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[39,7154,7155,7158],{},[42,7156,7157],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[39,7160,7161,7163],{},[42,7162,3780],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[21,7165,575],{"id":574},[36,7167,7168,7171,7174,7177,7180,7183,7186,7189],{},[39,7169,7170],{},"✅ 隐私敏感 + 数据零云",[39,7172,7173],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[39,7175,7176],{},"✅ 不愿学 Ollama CLI 的非工程师",[39,7178,7179],{},"✅ 多模型对比决策场景",[39,7181,7182],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[39,7184,7185],{},"❌ 要 mobile 移动主力",[39,7187,7188],{},"❌ 团队协作 + 共享 workspace",[39,7190,7191],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[21,7193,604],{"id":604},[36,7195,7196,7202,7208],{},[39,7197,7198],{},[610,7199,7201],{"href":7200},"\u002Ftools\u002Fcoding\u002Flocal\u002Follama","Ollama 评测",[39,7203,7204],{},[610,7205,7207],{"href":7206},"\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio","LM Studio 评测",[39,7209,7210],{},[610,7211,7213],{"href":7212},"\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui","Open WebUI 评测",[21,7215,628],{"id":628},[630,7217,7218,7225,7232,7239],{},[39,7219,7220,7221],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[610,7222,7223],{"href":7223,"rel":7224},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[639],[39,7226,7227,7228],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[610,7229,7230],{"href":7230,"rel":7231},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[639],[39,7233,7234,7235],{},"ML Journey — Msty Multi-model Comparison Guide ",[610,7236,7237],{"href":7237,"rel":7238},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[639],[39,7240,7241,7242],{},"AISO Tools — Msty Pricing 2026 ",[610,7243,7244],{"href":7244,"rel":7245},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[639],{"title":202,"searchDepth":250,"depth":250,"links":7247},[7248,7249,7250,7251,7252,7253,7254,7255,7256,7257],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":6862,"depth":224,"text":6863},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fmsty.webp","Msty 真实评测：privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎 + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体管理 + Split Chats 多模型同时跑同问题 + Knowledge Stack（per-conversation RAG，区别于 AnythingLLM workspace）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地全功能 \u002F Aurum $5-149 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[7261,7264,7267,7270],{"q":7262,"a":7263},"和 Ollama \u002F LM Studio \u002F Jan \u002F AnythingLLM 怎么选？","Msty 强在『多模型 split chat 对比 + Knowledge Stack 灵活 per-conversation + UI 颜值』。Ollama 是 CLI + server，无 GUI 适合开发者。LM Studio 强在『模型市场 + 性能 profiling』。Jan 开源 + Apache 2.0 协议自由度高。AnythingLLM 强在 workspace + RAG agent。要桌面颜值 + 多模型对比 + 简单 RAG → Msty；要 CLI \u002F server → Ollama；要模型市场 → LM Studio；要严格开源 → Jan。",{"q":7265,"a":7266},"Knowledge Stack 怎么用？","上传文档 \u002F URL \u002F 文本到 Knowledge collection，per-conversation 附加。和 AnythingLLM 的 workspace 区别：Msty 是 conversation 级，每对话独立 context，不会跨对话泄露。多项目并行场景非常顺。Aurum 解锁更大 \u002F 更高级 Knowledge。",{"q":7268,"a":7269},"Split Chats 真的实用吗？","对，多模型决策场景非常有用：决定哪个模型适合任务（同问题看 GPT-5 \u002F Claude \u002F Llama 3 输出）；本地 vs 云模型质量评估；事实问题模型分歧检测（多个模型给同样答案 = 更可信）。日常使用确实降低选错模型成本。",{"q":1339,"a":7271},"本地模式完全离线可用（Ollama \u002F llama.cpp \u002F MLX 本地模型 + Qwen \u002F DeepSeek 中文模型）。云模式接 OpenAI \u002F Anthropic 需要海外网络 + 卡。Aurum 订阅需海外支付。最佳路径：本地 Free + Ollama + Qwen2.5\u002FDeepSeek 中文，零订阅 + 零外网依赖。",[697,1345],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[1348,1349,1350,704],[7277,7280,7284,7288],{"plan":843,"price":707,"features":7278,"notes":7279},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":6842,"price":7281,"features":7282,"notes":7283},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":6848,"price":7285,"features":7286,"notes":7287},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":833,"price":7289,"features":7290,"notes":7291},"$300\u002Fuser·年","SSO + 团队管理 + 私有部署支持","需联系销售","Free 本地无限 \u002F Aurum $149·年（cloud sync）\u002F Lifetime $349 一次买断 \u002F Enterprise $300·user·年",[7294],"onboarding\u002Flocal-ai-workstation",{"power":257,"ux":264,"price":264,"cn_support":250,"stability":257},{"title":6738,"description":7259},"Msty - 本地多模型桌面 AI 评测与指南 | AIHO","agent\u002Fgeneral\u002Fmsty",[7300,7302,7304,7306],{"name":7301,"url":7223,"accessed":732},"Msty 官网 + Features",{"name":7303,"url":7230,"accessed":732},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":7305,"url":7237,"accessed":732},"ML Journey — Msty Local LLM Comparison Guide",{"name":7307,"url":7244,"accessed":732},"AISO Tools — Msty Pricing 2026","tools\u002Fagent\u002Fgeneral\u002Fmsty","本地优先 + 多模型并行的桌面 AI——Split Chats \u002F Knowledge Stack \u002F Agent Mode 三件套",[7311,2153,3924,4466,7312],"local-first","msty","Ollama \u002F LM Studio 的『精品桌面应用版』——拒绝 CLI + 拒绝云上传 + 多模型同窗对比的最佳选择。Mac mini \u002F Linux 私人 AI 服务器场景神器。要团队协作 + 云同步建议 Claude Team \u002F ChatGPT Team。","https:\u002F\u002Fmsty.ai","-I4bT25C45HIMEZHB6gAX29cwN1Qc25enA9kEJuT9q4",{"id":7317,"title":7318,"alternatives":7319,"api_compatible":16,"body":7321,"category":3872,"chinese_friendly":250,"cover":7864,"description":7865,"domestic":680,"extension":681,"faq":7866,"free":680,"github":16,"languages":7882,"lastVerified":16,"meta":7883,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":7884,"pillar":700,"platforms":7885,"priceTable":7886,"pricing":7894,"published":7895,"relatedPlaybooks":7896,"relatedReviews":7898,"score":7899,"self_host":253,"seo":7900,"seoTitle":7901,"slug":7902,"sources":7903,"stem":7910,"suitable":16,"tagline":7911,"tags":7912,"updated":7895,"verdict":7917,"website":7552,"__hash__":7918},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman.md","OpenHuman",[2162,5739,7320],"agent\u002Fplatform\u002Fcoze",{"type":18,"value":7322,"toc":7852},[7323,7325,7328,7331,7333,7419,7421,7438,7442,7446,7469,7473,7496,7498,7547,7554,7557,7568,7570,7720,7722,7766,7768,7797,7799,7818,7820,7849],[21,7324,24],{"id":23},[26,7326,7327],{},"OpenHuman 是 TinyHumans 团队 2026-05 推出的开源个人 AI 超级智能助手，7.8k+ GitHub stars。差异点：Rust（Tauri）桌面优先架构 + 118+ 第三方 OAuth 集成 + Memory Tree 长期记忆系统（10 亿 token 容量）+ TokenJuice 智能压缩（省 80% token）+ 智能模型路由 + 桌面吉祥物 + Google Meet 参会 + 语音交互 + Obsidian 知识库兼容。20 分钟自动同步你的数字生活，构建本地私有的个人记忆库。",[26,7329,7330],{},"适合：追求个人 AI 助手真正了解你的知识工作者；Obsidian 用户；跨越多个工具的协作场景；关注数据隐私的用户。不适合：追求极致轻量单功能工具；需要完全离线运行（OAuth 和模型调用需网络）；无法接受 Early Beta 产品的不稳定。",[21,7332,34],{"id":34},[36,7334,7335,7341,7347,7353,7359,7365,7371,7377,7383,7389,7395,7401,7407,7413],{},[39,7336,7337,7340],{},[42,7338,7339],{},"Memory Tree 长期记忆系统","：自动抓取邮件、文档、聊天记录 → 智能评分 → 层级摘要树 → 本地 SQLite 存储 + Obsidian 兼容 .md 文件",[39,7342,7343,7346],{},[42,7344,7345],{},"118+ 第三方 OAuth 集成","：Gmail \u002F Outlook \u002F Notion \u002F GitHub \u002F Slack \u002F Google Calendar \u002F Stripe \u002F Linear \u002F Jira 等",[39,7348,7349,7352],{},[42,7350,7351],{},"TokenJuice 智能压缩","：HTML→Markdown \u002F URL 缩短 \u002F 去重，最高省 80% token",[39,7354,7355,7358],{},[42,7356,7357],{},"智能模型路由","：统一订阅，自动分配推理 \u002F 快速 \u002F 多模态 \u002F 本地模型",[39,7360,7361,7364],{},[42,7362,7363],{},"桌面吉祥物","：有表情、会说话的桌面小伙伴，响应环境变化",[39,7366,7367,7370],{},[42,7368,7369],{},"Google Meet 参会","：以真实参与者身份加入线上会议",[39,7372,7373,7376],{},[42,7374,7375],{},"语音交互","：STT 语音输入 + ElevenLabs TTS 语音输出 + 唇形同步",[39,7378,7379,7382],{},[42,7380,7381],{},"后台持续思考","：即使不主动交互，也在后台分析和整理信息",[39,7384,7385,7388],{},[42,7386,7387],{},"自动同步","：每 20 分钟自动遍历所有活跃连接，拉取最新数据",[39,7390,7391,7394],{},[42,7392,7393],{},"Obsidian 兼容","：记忆以 Markdown 形式存储，可直接用 Obsidian 查看\u002F编辑",[39,7396,7397,7400],{},[42,7398,7399],{},"本地优先","：核心数据存储在本地 SQLite，不上传云端",[39,7402,7403,7406],{},[42,7404,7405],{},"本地加密","：数据在设备端加密存储",[39,7408,7409,7412],{},[42,7410,7411],{},"Ollama 支持","：可运行本地 LLM，敏感任务完全不上云",[39,7414,7415,7418],{},[42,7416,7417],{},"GPL-3.0 开源","：完整源码可审计、可定制",[21,7420,108],{"id":108},[36,7422,7423,7429,7435],{},[39,7424,7425,7428],{},[42,7426,7427],{},"统一订阅","：价格待定（Early Beta）；一价全包所有模型 + 自动路由",[39,7430,7431,7434],{},[42,7432,7433],{},"自托管","：$0；GPL-3.0 协议，需自备 LLM API 或本地 Ollama 模型",[39,7436,7437],{},"自托管一次中等任务 API 费用 $0.02-0.5（取决于模型选择）",[21,7439,7441],{"id":7440},"实测个人-ai-助手场景","实测（个人 AI 助手场景）",[26,7443,7444],{},[42,7445,143],{},[36,7447,7448,7451,7454,7457,7460,7463,7466],{},[39,7449,7450],{},"Memory Tree 让 AI 真正拥有\"长期记忆\"，不是每次对话从零开始",[39,7452,7453],{},"118+ 集成开箱即用，OAuth 一键连接，无需手动配置 API",[39,7455,7456],{},"TokenJuice 压缩效果显著，实测 token 消耗降低 60-80%",[39,7458,7459],{},"桌面 UI 设计精美，吉祥物交互有趣，不是命令行工具",[39,7461,7462],{},"自动同步机制省心，不用手动通知 AI 新信息",[39,7464,7465],{},"Obsidian 兼容让记忆透明可读，用户完全掌控自己的数据",[39,7467,7468],{},"智能模型路由省去手动切换模型的麻烦",[26,7470,7471],{},[42,7472,168],{},[36,7474,7475,7478,7481,7484,7487,7490,7493],{},[39,7476,7477],{},"Early Beta 阶段，功能迭代快，偶尔有 breaking change",[39,7479,7480],{},"中文支持依赖底层模型，部分场景效果不如英文",[39,7482,7483],{},"OAuth 连接器稳定性参差不齐，部分服务偶尔断连",[39,7485,7486],{},"桌面吉祥物 CPU\u002F内存占用不低，低配机器略卡",[39,7488,7489],{},"文档尚在完善中，部分功能缺少详细说明",[39,7491,7492],{},"自动同步频率固定 20 分钟，无法手动触发即时同步",[39,7494,7495],{},"隐私边界需关注：虽然数据本地存储，但 OAuth 连接和模型调用涉及网络",[21,7497,936],{"id":936},[197,7499,7501],{"className":199,"code":7500,"language":201,"meta":202,"style":202},"# macOS \u002F Linux\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh | bash\n\n# Windows (PowerShell)\nirm https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1 | iex\n",[204,7502,7503,7508,7525,7529,7534],{"__ignoreMap":202},[207,7504,7505],{"class":209,"line":210},[207,7506,7507],{"class":260},"# macOS \u002F Linux\n",[207,7509,7510,7513,7516,7519,7522],{"class":209,"line":224},[207,7511,7512],{"class":213},"curl",[207,7514,7515],{"class":227}," -fsSL",[207,7517,7518],{"class":217}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh",[207,7520,7521],{"class":306}," |",[207,7523,7524],{"class":213}," bash\n",[207,7526,7527],{"class":209,"line":250},[207,7528,254],{"emptyLinePlaceholder":253},[207,7530,7531],{"class":209,"line":257},[207,7532,7533],{"class":260},"# Windows (PowerShell)\n",[207,7535,7536,7539,7542,7544],{"class":209,"line":264},[207,7537,7538],{"class":213},"irm",[207,7540,7541],{"class":217}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1",[207,7543,7521],{"class":306},[207,7545,7546],{"class":213}," iex\n",[26,7548,7549,7550],{},"或从官网下载安装包：",[610,7551,7552],{"href":7552,"rel":7553},"https:\u002F\u002Ftinyhumans.ai\u002Fopenhuman",[639],[26,7555,7556],{},"首次启动后：",[630,7558,7559,7562,7565],{},[39,7560,7561],{},"完成 OAuth 授权连接你的邮箱 \u002F 日历 \u002F 文档 \u002F 代码仓库",[39,7563,7564],{},"等待 2-5 分钟初始数据同步（Memory Tree 自动构建）",[39,7566,7567],{},"开始对话——AI 已经知道你的工作背景和习惯",[21,7569,364],{"id":364},[366,7571,7572,7587],{},[369,7573,7574],{},[372,7575,7576,7578,7580,7583,7585],{},[375,7577,377],{},[375,7579,7318],{},[375,7581,7582],{},"Claude Cowork",[375,7584,385],{},[375,7586,5025],{},[390,7588,7589,7603,7617,7632,7648,7664,7677,7693,7705],{},[372,7590,7591,7593,7595,7598,7601],{},[395,7592,2367],{},[395,7594,6047],{},[395,7596,7597],{},"桌面+CLI",[395,7599,7600],{},"终端",[395,7602,7600],{},[372,7604,7605,7607,7610,7613,7615],{},[395,7606,414],{},[395,7608,7609],{},"✅ GPL-3.0",[395,7611,7612],{},"❌ 专有",[395,7614,423],{},[395,7616,423],{},[372,7618,7619,7621,7624,7627,7630],{},[395,7620,5576],{},[395,7622,7623],{},"✅ UI 优先，几分钟",[395,7625,7626],{},"✅ 桌面",[395,7628,7629],{},"⚠️ 终端",[395,7631,7629],{},[372,7633,7634,7636,7639,7642,7645],{},[395,7635,5549],{},[395,7637,7638],{},"✅ Memory Tree",[395,7640,7641],{},"⚠️ 对话级",[395,7643,7644],{},"⚠️ 依赖插件",[395,7646,7647],{},"✅ 自学习",[372,7649,7650,7653,7656,7659,7662],{},[395,7651,7652],{},"集成数量",[395,7654,7655],{},"118+ OAuth",[395,7657,7658],{},"少",[395,7660,7661],{},"需自建",[395,7663,7661],{},[372,7665,7666,7668,7671,7673,7675],{},[395,7667,7387],{},[395,7669,7670],{},"✅ 20分钟",[395,7672,426],{},[395,7674,426],{},[395,7676,426],{},[372,7678,7679,7682,7685,7688,7691],{},[395,7680,7681],{},"模型路由",[395,7683,7684],{},"✅ 内置智能",[395,7686,7687],{},"❌ 单一",[395,7689,7690],{},"⚠️ 手动",[395,7692,7690],{},[372,7694,7695,7697,7699,7701,7703],{},[395,7696,7363],{},[395,7698,1100],{},[395,7700,426],{},[395,7702,426],{},[395,7704,426],{},[372,7706,7707,7710,7712,7715,7718],{},[395,7708,7709],{},"隐私",[395,7711,7399],{},[395,7713,7714],{},"云端",[395,7716,7717],{},"本地",[395,7719,7717],{},[21,7721,521],{"id":521},[36,7723,7724,7730,7736,7742,7748,7754,7760],{},[39,7725,7726,7729],{},[42,7727,7728],{},"Early Beta 不稳定","：功能迭代快，关键工作建议备份记忆数据",[39,7731,7732,7735],{},[42,7733,7734],{},"中文效果","：依赖底层模型，GPT-4o \u002F Claude 中文效果好，本地模型待验证",[39,7737,7738,7741],{},[42,7739,7740],{},"OAuth 断连","：部分服务 token 会过期，需定期检查连接状态",[39,7743,7744,7747],{},[42,7745,7746],{},"TokenJuice 精度","：压缩虽好，处理合同\u002F账单等敏感内容需注意细节丢失",[39,7749,7750,7753],{},[42,7751,7752],{},"资源占用","：桌面吉祥物 + 后台同步建议 8GB+ 内存",[39,7755,7756,7759],{},[42,7757,7758],{},"网络依赖","：OAuth 连接和远程模型调用需要稳定网络",[39,7761,7762,7765],{},[42,7763,7764],{},"隐私边界","：虽然数据本地存储，但 OAuth 连接意味着服务商可知你的连接状态",[21,7767,575],{"id":574},[36,7769,7770,7773,7776,7779,7782,7785,7788,7791,7794],{},[39,7771,7772],{},"✅ 追求个人 AI 助手真正了解你的知识工作者",[39,7774,7775],{},"✅ Obsidian 用户，希望 AI 自动维护知识库",[39,7777,7778],{},"✅ 工作流跨越多个工具（Gmail \u002F Slack \u002F Notion \u002F GitHub）",[39,7780,7781],{},"✅ 关注数据隐私，希望敏感信息保留在本地",[39,7783,7784],{},"✅ 愿意尝试 Early Beta，能接受快速迭代",[39,7786,7787],{},"❌ 追求极致轻量，不需要那么多集成功能",[39,7789,7790],{},"❌ 对隐私要求极高，希望完全离线运行",[39,7792,7793],{},"❌ 无法接受 Beta 产品的粗糙边缘和偶发 bug",[39,7795,7796],{},"❌ 需要中文深度优化（当前英文体验最佳）",[21,7798,604],{"id":604},[36,7800,7801,7806,7812],{},[39,7802,7803],{},[610,7804,7805],{"href":5658},"OpenManus 工具卡：开源版 Manus",[39,7807,7808],{},[610,7809,7811],{"href":7810},"\u002Fagent\u002Fgeneral\u002Fhermes-agent.html","Hermes Agent 工具卡：自学习 AI Agent",[39,7813,7814],{},[610,7815,7817],{"href":7816},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze 平台评测",[21,7819,628],{"id":628},[630,7821,7822,7829,7835,7842],{},[39,7823,7824,7825],{},"OpenHuman GitHub 主仓库 + TinyHumans 组织 ",[610,7826,7827],{"href":7827,"rel":7828},"https:\u002F\u002Fgithub.com\u002Ftinyhumansai\u002Fopenhuman",[639],[39,7830,7831,7832],{},"OpenHuman 官网 ",[610,7833,7552],{"href":7552,"rel":7834},[639],[39,7836,7837,7838],{},"OpenHuman 文档 ",[610,7839,7840],{"href":7840,"rel":7841},"https:\u002F\u002Ftinyhumans.gitbook.io\u002Fopenhuman",[639],[39,7843,7844,7845],{},"OpenHuman Discord ",[610,7846,7847],{"href":7847,"rel":7848},"https:\u002F\u002Fdiscord.tinyhumans.ai\u002F",[639],[662,7850,7851],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":7853},[7854,7855,7856,7857,7858,7859,7860,7861,7862,7863],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":7440,"depth":224,"text":7441},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopenhuman.svg","OpenHuman 真实评测：TinyHumans 团队 2026-05 开源的个人 AI 超级智能助手，7.8k+ GitHub stars。GPL-3.0 协议 + Rust（Tauri）架构 + 桌面 UI 优先 + 118+ 第三方 OAuth 集成 + Memory Tree 长期记忆系统（10亿 token 容量）+ TokenJuice 智能压缩（省 80% token）+ 智能模型路由 + 桌面吉祥物 + Google Meet 参会 + 语音交互 + Obsidian 知识库兼容。20 分钟自动同步你的邮箱、日历、文档、代码仓库，构建本地私有的个人记忆库。",[7867,7870,7873,7876,7879],{"q":7868,"a":7869},"OpenHuman 和 ChatGPT \u002F Claude 有什么不同？","ChatGPT \u002F Claude 是通用对话 AI，每次对话从零开始，没有你的长期记忆。OpenHuman 通过 Memory Tree 系统持续学习你的邮件、日历、文档、代码仓库，构建一个持续更新的个人记忆库。它知道『你是谁』而非只是『你问了什么』。",{"q":7871,"a":7872},"OpenHuman 的数据安全如何？","核心记忆数据存储在本地 SQLite 数据库，不上传云端。数据在设备端加密存储。可通过 Ollama 运行本地 LLM 实现敏感任务完全离线。但 OAuth 连接和远程模型调用仍涉及网络传输。",{"q":7874,"a":7875},"Memory Tree 是什么？","OpenHuman 的核心记忆系统。所有接入数据（邮件、文档、聊天记录）被转化为 ≤3000 token 的 Markdown 块，经智能评分后折叠成层级摘要树，存入本地 SQLite。同时生成 .md 文件同步到 Obsidian 知识库。记忆容量可达 10 亿 token。",{"q":7877,"a":7878},"TokenJuice 有什么用？","TokenJuice 是 OpenHuman 的智能压缩层，在数据进入 LLM 前进行预处理——HTML 转 Markdown、长 URL 缩短、重复内容去重等，最高可降低 80% 的 token 消耗，大幅降低 API 成本和响应延迟。",{"q":7880,"a":7881},"支持哪些第三方服务？","118+ 第三方 OAuth 集成，涵盖：Gmail \u002F Outlook（邮件）、Notion \u002F Google Docs \u002F Obsidian（文档）、GitHub \u002F GitLab（代码）、Slack \u002F Discord（沟通）、Google Calendar \u002F Outlook Calendar（日历）、Google Drive \u002F Dropbox（存储）、Stripe（支付）、Linear \u002F Jira（项目）等。",[697,1345],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman",[1350,1348,1349],[7887,7891],{"plan":7427,"price":7888,"features":7889,"notes":7890},"待定","全部模型 + 自动路由 + 118+ 集成 + Memory Tree + TokenJuice","Early Beta 定价可能调整",{"plan":7433,"price":707,"features":7892,"notes":7893},"GPL-3.0 协议 + 全部功能 + 可接 Ollama 本地模型","需自备 LLM API","统一订阅制（一价全包，自动模型路由）\u002F 自备 LLM API 可选","2026-07-17",[7897],"onboarding\u002Fpersonal-ai-agent",[5735],{"power":257,"ux":264,"price":257,"cn_support":250,"stability":250},{"title":7318,"description":7865},"OpenHuman 评测 2026：开源个人 AI 超级智能，118+ 集成","agent\u002Fgeneral\u002Fopenhuman",[7904,7906,7908],{"name":7905,"url":7827,"accessed":7895},"OpenHuman GitHub（TinyHumans 组织）",{"name":7907,"url":7552,"accessed":7895},"OpenHuman 官网",{"name":7909,"url":7840,"accessed":7895},"OpenHuman 文档","tools\u002Fagent\u002Fgeneral\u002Fopenhuman","TinyHumans 团队开源个人 AI 超级智能——118+ 集成 \u002F Memory Tree \u002F TokenJuice 压缩 \u002F 桌面优先",[745,7913,7914,700,677,7915,7916],"personal-ai","memory-tree","obsidian","rust","想要一个真正懂你、记得你、能自动学习的个人 AI 助手——OpenHuman 是目前开源社区最完整的选择。Memory Tree + 118+ 集成 + TokenJuice 压缩 + 桌面 UI 设计，让 AI 从『聊天工具』升级为『数字分身』。适合注重隐私、使用多平台工具的知识工作者。Early Beta 阶段，功能迭代快，适合愿意尝鲜的用户。","CDzuNgZoVEQQgM5QE7kbYdstO_Vy3t82cvA7-QSgw3w",{"id":7920,"title":2357,"alternatives":7921,"api_compatible":16,"body":7925,"category":3872,"chinese_friendly":257,"cover":8553,"description":8554,"domestic":680,"extension":681,"faq":8555,"free":680,"github":16,"languages":8568,"lastVerified":16,"meta":8569,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":8570,"pillar":700,"platforms":8571,"priceTable":8572,"pricing":8576,"published":720,"relatedPlaybooks":8577,"relatedReviews":8579,"score":8580,"self_host":253,"seo":8581,"seoTitle":8582,"slug":2162,"sources":8583,"stem":8592,"suitable":16,"tagline":8593,"tags":8594,"updated":732,"verdict":8598,"website":8515,"__hash__":8599},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md",[7922,7923,7924],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":18,"value":7926,"toc":8541},[7927,7929,7936,7939,7941,8015,8017,8034,8038,8042,8068,8072,8098,8100,8221,8224,8230,8232,8396,8398,8456,8458,8484,8486,8506,8508,8538],[21,7928,24],{"id":23},[26,7930,7931,7932,7935],{},"OpenManus 是 MetaGPT 核心团队 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。差异点：MIT 协议 + Python 模块化架构 + 多 agent orchestration（",[204,7933,7934],{},"run_flow.py","）+ Playwright 浏览器自动化 + MCP 工具协议支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习分支 + 自定义工具基类（BaseTool）+ 多模型（GPT-4o \u002F Claude \u002F Qwen VL Plus）。零邀请码、零订阅、零供应商绑定。",[26,7937,7938],{},"适合：想自托管复刻 Manus 体验的开发者；研究 \u002F 学术 \u002F 教育用通用 agent 实现学习；隐私敏感 + 不愿数据上 Manus 商业云；预算紧（只付 LLM API）；中国大陆开发者（搭配 Qwen \u002F DeepSeek 本地化）。不适合：非开发者 \u002F 不会折腾 Python + Playwright；要 GUI \u002F 上手即用；生产级稳定（项目演进快，文档滞后）。",[21,7940,34],{"id":34},[36,7942,7943,7951,7957,7963,7969,7975,7981,7986,7991,7997,8003,8009],{},[39,7944,7945,5072,7948,7950],{},[42,7946,7947],{},"多 agent orchestration",[204,7949,7934],{}," 编排多个专门 agent 协作",[39,7952,7953,7956],{},[42,7954,7955],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[39,7958,7959,7962],{},[42,7960,7961],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[39,7964,7965,7968],{},[42,7966,7967],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[39,7970,7971,7974],{},[42,7972,7973],{},"OpenManus-RL","：强化学习微调分支",[39,7976,7977,7980],{},[42,7978,7979],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[39,7982,7983,7985],{},[42,7984,809],{},"：文本 + 视觉输入 + 浏览器截图回环",[39,7987,7988,7990],{},[42,7989,2720],{},"：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[39,7992,7993,7996],{},[42,7994,7995],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[39,7998,7999,8002],{},[42,8000,8001],{},"Web UI 监控","：实时看 AI thinking process",[39,8004,8005,8008],{},[42,8006,8007],{},"任务可视化","：步骤拆解 + 执行树",[39,8010,8011,8014],{},[42,8012,8013],{},"MIT 协议","：个人 + 商用全免费",[21,8016,108],{"id":108},[36,8018,8019,8025,8028,8031],{},[39,8020,8021,8024],{},[42,8022,8023],{},"Free \u002F OSS","：$0；MIT 协议",[39,8026,8027],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[39,8029,8030],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[39,8032,8033],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[21,8035,8037],{"id":8036},"实测开发者-自托管-研究场景","实测（开发者 \u002F 自托管 \u002F 研究场景）",[26,8039,8040],{},[42,8041,143],{},[36,8043,8044,8047,8050,8053,8056,8059,8062,8065],{},[39,8045,8046],{},"52k stars 印证社区认同度 + 活跃度",[39,8048,8049],{},"MetaGPT 团队背景保证架构质量",[39,8051,8052],{},"多 agent 协作场景比单 agent 实现稳得多",[39,8054,8055],{},"Playwright 浏览器自动化非常完整",[39,8057,8058],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[39,8060,8061],{},"DataAnalysis 内置 agent 模式开箱即用",[39,8063,8064],{},"中文支持自然（Qwen VL Plus 接入）",[39,8066,8067],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[26,8069,8070],{},[42,8071,168],{},[36,8073,8074,8077,8080,8083,8086,8089,8092,8095],{},[39,8075,8076],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[39,8078,8079],{},"文档滞后新功能 1-2 个月",[39,8081,8082],{},"无官方 GUI，监控 UI 在做但不完整",[39,8084,8085],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[39,8087,8088],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[39,8090,8091],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[39,8093,8094],{},"中文 prompt 效果依赖底层模型",[39,8096,8097],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[21,8099,936],{"id":936},[197,8101,8103],{"className":199,"code":8102,"language":201,"meta":202,"style":202},"git clone https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\ncd OpenManus\npython3.12 -m venv .venv && source .venv\u002Fbin\u002Factivate  # 或 .venv\\Scripts\\activate\npip install -r requirements.txt\nplaywright install chromium\n\n# 配 LLM API\ncp config\u002Fconfig.example.toml config\u002Fconfig.toml\n# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n\n# 单 agent 模式\npython main.py\n\n# 多 agent 模式\npython run_flow.py\n",[204,8104,8105,8114,8121,8145,8155,8165,8169,8174,8184,8189,8193,8198,8205,8209,8214],{"__ignoreMap":202},[207,8106,8107,8109,8111],{"class":209,"line":210},[207,8108,214],{"class":213},[207,8110,218],{"class":217},[207,8112,8113],{"class":217}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[207,8115,8116,8118],{"class":209,"line":224},[207,8117,228],{"class":227},[207,8119,8120],{"class":217}," OpenManus\n",[207,8122,8123,8126,8128,8131,8134,8136,8139,8142],{"class":209,"line":250},[207,8124,8125],{"class":213},"python3.12",[207,8127,5369],{"class":227},[207,8129,8130],{"class":217}," venv",[207,8132,8133],{"class":217}," .venv",[207,8135,235],{"class":234},[207,8137,8138],{"class":227},"source",[207,8140,8141],{"class":217}," .venv\u002Fbin\u002Factivate",[207,8143,8144],{"class":260},"  # 或 .venv\\Scripts\\activate\n",[207,8146,8147,8149,8151,8153],{"class":209,"line":257},[207,8148,238],{"class":213},[207,8150,241],{"class":217},[207,8152,244],{"class":227},[207,8154,247],{"class":217},[207,8156,8157,8160,8162],{"class":209,"line":264},[207,8158,8159],{"class":213},"playwright",[207,8161,241],{"class":217},[207,8163,8164],{"class":217}," chromium\n",[207,8166,8167],{"class":209,"line":276},[207,8168,254],{"emptyLinePlaceholder":253},[207,8170,8171],{"class":209,"line":281},[207,8172,8173],{"class":260},"# 配 LLM API\n",[207,8175,8176,8178,8181],{"class":209,"line":287},[207,8177,5351],{"class":213},[207,8179,8180],{"class":217}," config\u002Fconfig.example.toml",[207,8182,8183],{"class":217}," config\u002Fconfig.toml\n",[207,8185,8186],{"class":209,"line":321},[207,8187,8188],{"class":260},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[207,8190,8191],{"class":209,"line":326},[207,8192,254],{"emptyLinePlaceholder":253},[207,8194,8195],{"class":209,"line":332},[207,8196,8197],{"class":260},"# 单 agent 模式\n",[207,8199,8200,8202],{"class":209,"line":344},[207,8201,335],{"class":213},[207,8203,8204],{"class":217}," main.py\n",[207,8206,8207],{"class":209,"line":355},[207,8208,254],{"emptyLinePlaceholder":253},[207,8210,8211],{"class":209,"line":1669},[207,8212,8213],{"class":260},"# 多 agent 模式\n",[207,8215,8216,8218],{"class":209,"line":1675},[207,8217,335],{"class":213},[207,8219,8220],{"class":217}," run_flow.py\n",[26,8222,8223],{},"试任务示例：",[197,8225,8228],{"className":8226,"code":8227,"language":6177},[6175],"> 帮我做一份『2026 开源 AI Agent 框架』竞品对比，含表格 + 引用 + 趋势分析，输出为 markdown 文件\n",[204,8229,8227],{"__ignoreMap":202},[21,8231,364],{"id":364},[366,8233,8234,8251],{},[369,8235,8236],{},[372,8237,8238,8240,8242,8245,8248],{},[375,8239,377],{},[375,8241,2357],{},[375,8243,8244],{},"LangChain",[375,8246,8247],{},"AutoGPT",[375,8249,8250],{},"CrewAI",[390,8252,8253,8269,8283,8295,8310,8323,8337,8350,8367,8380],{},[372,8254,8255,8257,8260,8263,8266],{},[395,8256,2367],{},[395,8258,8259],{},"现成 agent 实现",[395,8261,8262],{},"building blocks",[395,8264,8265],{},"早期通用 agent",[395,8267,8268],{},"多 agent 框架",[372,8270,8271,8274,8277,8279,8281],{},[395,8272,8273],{},"浏览器自动化",[395,8275,8276],{},"✅ Playwright",[395,8278,437],{},[395,8280,440],{},[395,8282,437],{},[372,8284,8285,8287,8289,8291,8293],{},[395,8286,1850],{},[395,8288,1100],{},[395,8290,440],{},[395,8292,437],{},[395,8294,437],{},[372,8296,8297,8300,8303,8306,8308],{},[395,8298,8299],{},"多 agent",[395,8301,8302],{},"✅ orchestration",[395,8304,8305],{},"需自搭",[395,8307,426],{},[395,8309,1070],{},[372,8311,8312,8315,8317,8319,8321],{},[395,8313,8314],{},"DataAnalysis 内置",[395,8316,1100],{},[395,8318,437],{},[395,8320,437],{},[395,8322,437],{},[372,8324,8325,8328,8331,8333,8335],{},[395,8326,8327],{},"RL 微调",[395,8329,8330],{},"✅ OpenManus-RL",[395,8332,437],{},[395,8334,437],{},[395,8336,437],{},[372,8338,8339,8341,8344,8346,8348],{},[395,8340,1891],{},[395,8342,8343],{},"MIT",[395,8345,8343],{},[395,8347,8343],{},[395,8349,8343],{},[372,8351,8352,8355,8358,8361,8364],{},[395,8353,8354],{},"Stars",[395,8356,8357],{},"52k+",[395,8359,8360],{},"100k+",[395,8362,8363],{},"170k+",[395,8365,8366],{},"30k+",[372,8368,8369,8371,8373,8376,8378],{},[395,8370,936],{},[395,8372,2458],{},[395,8374,8375],{},"难",[395,8377,2458],{},[395,8379,2458],{},[372,8381,8382,8384,8387,8390,8393],{},[395,8383,506],{},[395,8385,8386],{},"自托管 Manus 复刻",[395,8388,8389],{},"底层 framework",[395,8391,8392],{},"学习经典",[395,8394,8395],{},"多 agent 协作",[21,8397,521],{"id":521},[36,8399,8400,8406,8416,8422,8428,8434,8440,8446,8450],{},[39,8401,8402,8405],{},[42,8403,8404],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[39,8407,8408,8411,8412,8415],{},[42,8409,8410],{},"Playwright 依赖大","：首次 ",[204,8413,8414],{},"playwright install"," 下 chromium 慢，国内走镜像",[39,8417,8418,8421],{},[42,8419,8420],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[39,8423,8424,8427],{},[42,8425,8426],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[39,8429,8430,8433],{},[42,8431,8432],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[39,8435,8436,8439],{},[42,8437,8438],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[39,8441,8442,8445],{},[42,8443,8444],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[39,8447,8448,3781],{},[42,8449,3780],{},[39,8451,8452,8455],{},[42,8453,8454],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[21,8457,575],{"id":574},[36,8459,8460,8463,8466,8469,8472,8475,8478,8481],{},[39,8461,8462],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[39,8464,8465],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[39,8467,8468],{},"✅ 隐私敏感 + 不愿数据上商业云",[39,8470,8471],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[39,8473,8474],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[39,8476,8477],{},"❌ 要 GUI \u002F 上手即用",[39,8479,8480],{},"❌ 生产级稳定（文档滞后 + 演进快）",[39,8482,8483],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[21,8485,604],{"id":604},[36,8487,8488,8494,8500],{},[39,8489,8490],{},[610,8491,8493],{"href":8492},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[39,8495,8496],{},[610,8497,8499],{"href":8498},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[39,8501,8502],{},[610,8503,8505],{"href":8504},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[21,8507,628],{"id":628},[630,8509,8510,8517,8524,8531],{},[39,8511,8512,8513],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[610,8514,8515],{"href":8515,"rel":8516},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[639],[39,8518,8519,8520],{},"Foundation Agents — OpenManus 项目介绍 ",[610,8521,8522],{"href":8522,"rel":8523},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[639],[39,8525,8526,8527],{},"Toolsverse — OpenManus 评测 + 52k stars ",[610,8528,8529],{"href":8529,"rel":8530},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[639],[39,8532,8533,8534],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[610,8535,8536],{"href":8536,"rel":8537},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[639],[662,8539,8540],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":8542},[8543,8544,8545,8546,8547,8548,8549,8550,8551,8552],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":8036,"depth":224,"text":8037},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopenmanus.webp","OpenManus 真实评测：MetaGPT 核心成员 Xinbin Liang \u002F Jinyu Xiang \u002F Zhaoyang Yu \u002F Jiayi Zhang \u002F Sirui Hong 在 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。MIT 协议 + Python 模块化架构 + 多 agent orchestration（run_flow.py）+ Playwright 浏览器自动化 + MCP 工具支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习微调分支 + 自定义工具基类（BaseTool）。零邀请码、零订阅、零供应商绑定，唯一成本 = LLM API。",[8556,8559,8562,8565],{"q":8557,"a":8558},"OpenManus 和 Manus 是什么关系？","Manus 是商业 \u002F 邀请制的通用 AI agent 产品。OpenManus 是 MetaGPT 核心团队 2025-03 推出的开源复刻版，目标是『让所有人不靠邀请码就能用上类 Manus 能力』。功能覆盖：研究 \u002F 浏览器 \u002F 数据分析 \u002F 文件操作 \u002F 多步 reasoning。不是 Manus 官方出品。",{"q":8560,"a":8561},"和 LangChain \u002F AutoGPT \u002F CrewAI 怎么定位？","OpenManus 不是 framework，更像『可直接跑的通用 agent 实现』。LangChain 是 building block 框架；AutoGPT 是早期通用 agent；CrewAI 是多 agent 协作 framework。要『拉下来配 API 就能跑 Manus 风格任务』→ OpenManus；要『从底层搭自己的 agent』→ LangChain \u002F CrewAI；要『历史经典 + 学习』→ AutoGPT。OpenManus 内部用 LangChain-like 模块，可视为『现成实现』。",{"q":8563,"a":8564},"OpenManus-RL 是什么？","OpenManus 项目下的强化学习分支，提供 RL-based 微调方法优化 agent 性能。对研究 \u002F 高定制场景有价值，普通用户主仓库已经够用。",{"q":8566,"a":8567},"上手门槛？","需要 Python 3.12+ + 熟悉终端 + 自配 LLM API。无 GUI（虽然 web 监控界面在做）。documentation 偶尔滞后。非开发者建议先试 GUI 工具（Flowith \u002F Genspark），开发者 \u002F 研究者 + 想自托管 + 隐私敏感 → OpenManus。",[697,696,1345],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[1350,1348,1349,2861],[8573],{"plan":8023,"price":707,"features":8574,"notes":8575},"MIT 协议 + 全部功能 + 自托管 + 多 agent + 浏览器 + MCP + DataAnalysis + OpenManus-RL","LLM API 自付","MIT 完全免费开源 \u002F 用户自付 LLM API（GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus 任选）",[8578],"onboarding\u002Fopen-source-general-agent",[5735,5000],{"power":264,"ux":250,"price":264,"cn_support":257,"stability":250},{"title":2357,"description":8554},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[8584,8586,8588,8590],{"name":8585,"url":8515,"accessed":732},"OpenManus GitHub（FoundationAgents 组织）",{"name":8587,"url":8522,"accessed":732},"Foundation Agents — OpenManus 项目介绍",{"name":8589,"url":8529,"accessed":732},"Toolsverse — OpenManus 评测 + 52k stars",{"name":8591,"url":8536,"accessed":732},"SoloSoft.dev — OpenManus 2026 Framework 综述","tools\u002Fagent\u002Fgeneral\u002Fopenmanus","MetaGPT 团队开源版 Manus——52k+ stars \u002F MIT \u002F 多 agent + 浏览器自动化 + MCP + DataAnalysis",[745,3369,8595,1392,8596,8597],"browser-automation","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","27xZ_sl8oK4xtfoZj-H7oK3WtsdrfyluCPcf_wJzlRM",{"id":8601,"title":8602,"alternatives":8603,"api_compatible":8604,"body":8608,"category":3872,"chinese_friendly":264,"cover":9374,"description":9375,"domestic":253,"extension":681,"faq":9376,"free":253,"github":9347,"languages":9410,"lastVerified":16,"meta":9411,"models":9412,"navigation":253,"notSuitable":16,"opensource":253,"path":9418,"pillar":700,"platforms":9419,"priceTable":9420,"pricing":9423,"published":9424,"relatedPlaybooks":16,"relatedReviews":9425,"score":9427,"self_host":253,"seo":9428,"seoTitle":9429,"slug":9430,"sources":9431,"stem":9438,"suitable":16,"tagline":9439,"tags":9440,"updated":9424,"verdict":9445,"website":9340,"__hash__":9446},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fpageagent.md","PageAgent",[2162,7924],[4206,4209,8605,8606,8607,6963],"Google","Qwen","DeepSeek",{"type":18,"value":8609,"toc":9359},[8610,8612,8623,8626,8629,8631,8706,8708,8720,8724,8728,8757,8761,8784,8786,8790,8830,8833,8837,8851,8988,8992,9006,9139,9141,9284,9286,9318,9320,9331,9333,9356],[21,8611,24],{"id":23},[26,8613,8614,8615,8618,8619,8622],{},"PageAgent 是阿里巴巴开源的一款纯前端 JavaScript GUI Agent 框架，核心理念是 ",[42,8616,8617],{},"\"The GUI Agent Living in Your Webpage\"","——让 AI 直接「住进」你的网页。与传统浏览器自动化工具不同，它不依赖截图、多模态模型、无头浏览器或 Python 后端，仅需一行 ",[204,8620,8621],{},"\u003Cscript>"," 标签即可嵌入任意页面，让用户通过自然语言指令操控 Web 界面。",[26,8624,8625],{},"核心差异点：MIT 协议 + 纯 TypeScript + DOM 脱水（文本化 DOM 分析） + 任意 LLM 接入（BYOK） + 零后端部署 + Human-in-the-Loop 协同面板 + 可选 Chrome 扩展跨标签页 + MCP Server Beta。",[26,8627,8628],{},"适合：想为自己的 Web 应用添加 AI Copilot 的 SaaS 团队；需要自然语言操作后台管理系统的场景；希望用 AI 增强无障碍体验的开发者；需要将客服机器人从「指导操作」升级为「直接操作」的产品团队。不适合：需要大规模跨网站爬取\u002F数据采集；需要 CI\u002FCD 自动化测试；需要无代码方案的非技术人员。",[21,8630,34],{"id":34},[36,8632,8633,8639,8648,8658,8664,8670,8676,8682,8688,8694,8700],{},[39,8634,8635,8638],{},[42,8636,8637],{},"DOM 脱水（DOM Dehydration）","：将页面 DOM 树压缩为精简文本，仅保留交互元素及其索引，发送给 LLM 处理。无需截图、无需多模态模型",[39,8640,8641,8644,8645,8647],{},[42,8642,8643],{},"零后端部署","：CDN 或 NPM 导入，一行 ",[204,8646,8621],{}," 标签即可运行",[39,8649,8650,8653,8654,8657],{},[42,8651,8652],{},"任意 LLM 接入","：支持 OpenAI \u002F Claude \u002F Qwen \u002F DeepSeek \u002F Gemini 等任意兼容 ",[204,8655,8656],{},"\u002Fchat\u002Fcompletions"," 接口的模型",[39,8659,8660,8663],{},[42,8661,8662],{},"Human-in-the-Loop","：侧边面板实时展示 AI 思考过程，遇到歧义时主动向用户确认",[39,8665,8666,8669],{},[42,8667,8668],{},"操作白名单 & 数据脱敏","：可定义允许的操作范围，保护敏感字段不被 AI 看到",[39,8671,8672,8675],{},[42,8673,8674],{},"自定义知识注入","：注入业务规则，让 AI 遵守特定的操作约束与流程",[39,8677,8678,8681],{},[42,8679,8680],{},"Chrome 扩展（可选）","：跨标签页\u002F多页面任务支持",[39,8683,8684,8687],{},[42,8685,8686],{},"MCP Server（Beta）","：外部 Agent 客户端可通过 MCP 协议控制浏览器",[39,8689,8690,8693],{},[42,8691,8692],{},"ReAct 循环架构","：Observe → Think（反思 + 行动）→ Act 的完整实现",[39,8695,8696,8699],{},[42,8697,8698],{},"Reflection-Before-Action","：每步先评估上步效果再决策，减少错误累积",[39,8701,8702,8705],{},[42,8703,8704],{},"TypeScript 编写","：完整类型定义，适合前端工程集成",[21,8707,108],{"id":108},[36,8709,8710,8714,8717],{},[39,8711,8712,8024],{},[42,8713,8023],{},[39,8715,8716],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Qwen3.5-plus 更便宜）",[39,8718,8719],{},"支持通过 Ollama 运行本地模型，API 成本为 $0",[21,8721,8723],{"id":8722},"实测开发者-前端集成-saas-场景","实测（开发者 \u002F 前端集成 \u002F SaaS 场景）",[26,8725,8726],{},[42,8727,143],{},[36,8729,8730,8733,8736,8739,8742,8745,8748,8751,8754],{},[39,8731,8732],{},"28,000+ GitHub stars，社区活跃度极高",[39,8734,8735],{},"阿里巴巴团队维护，代码质量有保障",[39,8737,8738],{},"DOM 脱水技术让 Token 成本比截图方案低一个数量级",[39,8740,8741],{},"推理速度快（0.5-1s vs 截图方案的 2-5s）",[39,8743,8744],{},"天然继承用户登录态，无需处理 Cookie\u002FSession 同步",[39,8746,8747],{},"零后端部署，适合前端团队独立完成",[39,8749,8750],{},"中文支持完美（阿里巴巴出品）",[39,8752,8753],{},"操作白名单 + 数据脱敏 + Human-in-the-Loop 三重安全机制",[39,8755,8756],{},"MCP Server 打通 Claude Desktop \u002F Cursor 生态",[26,8758,8759],{},[42,8760,168],{},[36,8762,8763,8766,8769,8772,8775,8778,8781],{},[39,8764,8765],{},"项目 v1.12.x 仍在快速迭代（30+ 个版本\u002F5 个月），API 可能变化",[39,8767,8768],{},"复杂动态页面 DOM 分析精度取决于 LLM 能力",[39,8770,8771],{},"不支持跨网站操作（除非安装 Chrome 扩展）",[39,8773,8774],{},"不适合大规模爬虫和性能测试场景",[39,8776,8777],{},"生产环境需要自行处理 LLM 调用错误和重试",[39,8779,8780],{},"文档有中英文版本，部分内容可能滞后",[39,8782,8783],{},"非前端开发者需要一定的 JavaScript 能力",[21,8785,936],{"id":936},[5062,8787,8789],{"id":8788},"快速体验一行-cdn-脚本","快速体验（一行 CDN 脚本）",[197,8791,8795],{"className":8792,"code":8793,"language":8794,"meta":202,"style":202},"language-html shiki shiki-themes github-light github-dark","\u003Cscript src=\"https:\u002F\u002Fcdn.jsdelivr.net\u002Fnpm\u002Fpage-agent@1.10.0\u002Fdist\u002Fiife\u002Fpage-agent.demo.js\" crossorigin=\"true\">\u003C\u002Fscript>\n","html",[204,8796,8797],{"__ignoreMap":202},[207,8798,8799,8802,8806,8809,8811,8814,8817,8819,8822,8825,8827],{"class":209,"line":210},[207,8800,8801],{"class":234},"\u003C",[207,8803,8805],{"class":8804},"s9eBZ","script",[207,8807,8808],{"class":213}," src",[207,8810,1647],{"class":234},[207,8812,8813],{"class":217},"\"https:\u002F\u002Fcdn.jsdelivr.net\u002Fnpm\u002Fpage-agent@1.10.0\u002Fdist\u002Fiife\u002Fpage-agent.demo.js\"",[207,8815,8816],{"class":213}," crossorigin",[207,8818,1647],{"class":234},[207,8820,8821],{"class":217},"\"true\"",[207,8823,8824],{"class":234},">\u003C\u002F",[207,8826,8805],{"class":8804},[207,8828,8829],{"class":234},">\n",[26,8831,8832],{},"加载后页面右下角出现 Agent 面板，可以直接输入自然语言命令。",[5062,8834,8836],{"id":8835},"npm-安装生产用法","NPM 安装（生产用法）",[197,8838,8840],{"className":199,"code":8839,"language":201,"meta":202,"style":202},"npm install page-agent\n",[204,8841,8842],{"__ignoreMap":202},[207,8843,8844,8846,8848],{"class":209,"line":210},[207,8845,1600],{"class":213},[207,8847,241],{"class":217},[207,8849,8850],{"class":217}," page-agent\n",[197,8852,8856],{"className":8853,"code":8854,"language":8855,"meta":202,"style":202},"language-typescript shiki shiki-themes github-light github-dark","import { PageAgent } from 'page-agent'\n\nconst agent = new PageAgent({\n  model: 'qwen3.5-plus',\n  baseURL: 'https:\u002F\u002Fdashscope.aliyuncs.com\u002Fcompatible-mode\u002Fv1',\n  apiKey: 'YOUR_API_KEY',\n  language: 'zh-CN',\n})\n\n\u002F\u002F 执行自然语言任务\nconst result = await agent.execute('点击登录按钮，然后填写用户名为 test@example.com')\nconsole.log(result.success, result.message)\n","typescript",[204,8857,8858,8872,8876,8896,8906,8916,8926,8936,8941,8945,8950,8977],{"__ignoreMap":202},[207,8859,8860,8863,8866,8869],{"class":209,"line":210},[207,8861,8862],{"class":306},"import",[207,8864,8865],{"class":234}," { PageAgent } ",[207,8867,8868],{"class":306},"from",[207,8870,8871],{"class":217}," 'page-agent'\n",[207,8873,8874],{"class":209,"line":224},[207,8875,254],{"emptyLinePlaceholder":253},[207,8877,8878,8881,8884,8887,8890,8893],{"class":209,"line":250},[207,8879,8880],{"class":306},"const",[207,8882,8883],{"class":227}," agent",[207,8885,8886],{"class":306}," =",[207,8888,8889],{"class":306}," new",[207,8891,8892],{"class":213}," PageAgent",[207,8894,8895],{"class":234},"({\n",[207,8897,8898,8901,8904],{"class":209,"line":257},[207,8899,8900],{"class":234},"  model: ",[207,8902,8903],{"class":217},"'qwen3.5-plus'",[207,8905,995],{"class":234},[207,8907,8908,8911,8914],{"class":209,"line":264},[207,8909,8910],{"class":234},"  baseURL: ",[207,8912,8913],{"class":217},"'https:\u002F\u002Fdashscope.aliyuncs.com\u002Fcompatible-mode\u002Fv1'",[207,8915,995],{"class":234},[207,8917,8918,8921,8924],{"class":209,"line":276},[207,8919,8920],{"class":234},"  apiKey: ",[207,8922,8923],{"class":217},"'YOUR_API_KEY'",[207,8925,995],{"class":234},[207,8927,8928,8931,8934],{"class":209,"line":281},[207,8929,8930],{"class":234},"  language: ",[207,8932,8933],{"class":217},"'zh-CN'",[207,8935,995],{"class":234},[207,8937,8938],{"class":209,"line":287},[207,8939,8940],{"class":234},"})\n",[207,8942,8943],{"class":209,"line":321},[207,8944,254],{"emptyLinePlaceholder":253},[207,8946,8947],{"class":209,"line":326},[207,8948,8949],{"class":260},"\u002F\u002F 执行自然语言任务\n",[207,8951,8952,8954,8957,8959,8962,8965,8968,8971,8974],{"class":209,"line":332},[207,8953,8880],{"class":306},[207,8955,8956],{"class":227}," result",[207,8958,8886],{"class":306},[207,8960,8961],{"class":306}," await",[207,8963,8964],{"class":234}," agent.",[207,8966,8967],{"class":213},"execute",[207,8969,8970],{"class":234},"(",[207,8972,8973],{"class":217},"'点击登录按钮，然后填写用户名为 test@example.com'",[207,8975,8976],{"class":234},")\n",[207,8978,8979,8982,8985],{"class":209,"line":344},[207,8980,8981],{"class":234},"console.",[207,8983,8984],{"class":213},"log",[207,8986,8987],{"class":234},"(result.success, result.message)\n",[5062,8989,8991],{"id":8990},"使用-core-包无-ui-面板嵌入式场景","使用 Core 包（无 UI 面板，嵌入式场景）",[197,8993,8995],{"className":199,"code":8994,"language":201,"meta":202,"style":202},"npm install @page-agent\u002Fcore\n",[204,8996,8997],{"__ignoreMap":202},[207,8998,8999,9001,9003],{"class":209,"line":210},[207,9000,1600],{"class":213},[207,9002,241],{"class":217},[207,9004,9005],{"class":217}," @page-agent\u002Fcore\n",[197,9007,9009],{"className":8853,"code":9008,"language":8855,"meta":202,"style":202},"import { PageAgentCore } from '@page-agent\u002Fcore'\nimport { PageController } from '@page-agent\u002Fpage-controller'\n\nconst pageController = new PageController()\nconst agent = new PageAgentCore({\n  pageController,\n  llmConfig: {\n    model: 'gpt-4o',\n    baseURL: 'https:\u002F\u002Fapi.openai.com\u002Fv1',\n    apiKey: 'YOUR_API_KEY',\n  },\n})\n\nawait agent.execute('帮我创建一个新项目，名称为「AI Demo」')\n",[204,9010,9011,9023,9035,9039,9056,9071,9076,9081,9091,9101,9110,9115,9119,9123],{"__ignoreMap":202},[207,9012,9013,9015,9018,9020],{"class":209,"line":210},[207,9014,8862],{"class":306},[207,9016,9017],{"class":234}," { PageAgentCore } ",[207,9019,8868],{"class":306},[207,9021,9022],{"class":217}," '@page-agent\u002Fcore'\n",[207,9024,9025,9027,9030,9032],{"class":209,"line":224},[207,9026,8862],{"class":306},[207,9028,9029],{"class":234}," { PageController } ",[207,9031,8868],{"class":306},[207,9033,9034],{"class":217}," '@page-agent\u002Fpage-controller'\n",[207,9036,9037],{"class":209,"line":250},[207,9038,254],{"emptyLinePlaceholder":253},[207,9040,9041,9043,9046,9048,9050,9053],{"class":209,"line":257},[207,9042,8880],{"class":306},[207,9044,9045],{"class":227}," pageController",[207,9047,8886],{"class":306},[207,9049,8889],{"class":306},[207,9051,9052],{"class":213}," PageController",[207,9054,9055],{"class":234},"()\n",[207,9057,9058,9060,9062,9064,9066,9069],{"class":209,"line":264},[207,9059,8880],{"class":306},[207,9061,8883],{"class":227},[207,9063,8886],{"class":306},[207,9065,8889],{"class":306},[207,9067,9068],{"class":213}," PageAgentCore",[207,9070,8895],{"class":234},[207,9072,9073],{"class":209,"line":276},[207,9074,9075],{"class":234},"  pageController,\n",[207,9077,9078],{"class":209,"line":281},[207,9079,9080],{"class":234},"  llmConfig: {\n",[207,9082,9083,9086,9089],{"class":209,"line":287},[207,9084,9085],{"class":234},"    model: ",[207,9087,9088],{"class":217},"'gpt-4o'",[207,9090,995],{"class":234},[207,9092,9093,9096,9099],{"class":209,"line":321},[207,9094,9095],{"class":234},"    baseURL: ",[207,9097,9098],{"class":217},"'https:\u002F\u002Fapi.openai.com\u002Fv1'",[207,9100,995],{"class":234},[207,9102,9103,9106,9108],{"class":209,"line":326},[207,9104,9105],{"class":234},"    apiKey: ",[207,9107,8923],{"class":217},[207,9109,995],{"class":234},[207,9111,9112],{"class":209,"line":332},[207,9113,9114],{"class":234},"  },\n",[207,9116,9117],{"class":209,"line":344},[207,9118,8940],{"class":234},[207,9120,9121],{"class":209,"line":355},[207,9122,254],{"emptyLinePlaceholder":253},[207,9124,9125,9128,9130,9132,9134,9137],{"class":209,"line":1669},[207,9126,9127],{"class":306},"await",[207,9129,8964],{"class":234},[207,9131,8967],{"class":213},[207,9133,8970],{"class":234},[207,9135,9136],{"class":217},"'帮我创建一个新项目，名称为「AI Demo」'",[207,9138,8976],{"class":234},[21,9140,364],{"id":364},[366,9142,9143,9159],{},[369,9144,9145],{},[372,9146,9147,9149,9151,9154,9157],{},[375,9148,377],{},[375,9150,8602],{},[375,9152,9153],{},"Playwright",[375,9155,9156],{},"browser-use",[375,9158,2357],{},[390,9160,9161,9177,9193,9209,9225,9240,9257,9269],{},[372,9162,9163,9166,9169,9172,9174],{},[395,9164,9165],{},"部署方式",[395,9167,9168],{},"纯前端 JS 脚本",[395,9170,9171],{},"Python + 无头浏览器",[395,9173,9171],{},[395,9175,9176],{},"Python + Playwright",[372,9178,9179,9182,9185,9188,9191],{},[395,9180,9181],{},"页面分析",[395,9183,9184],{},"文本 DOM 脱水",[395,9186,9187],{},"DOM 选择器",[395,9189,9190],{},"截图 + DOM",[395,9192,9190],{},[372,9194,9195,9198,9201,9204,9207],{},[395,9196,9197],{},"模型需求",[395,9199,9200],{},"纯文本 LLM",[395,9202,9203],{},"无需 LLM",[395,9205,9206],{},"多模态 LLM",[395,9208,9206],{},[372,9210,9211,9214,9217,9220,9223],{},[395,9212,9213],{},"登录态",[395,9215,9216],{},"天然继承",[395,9218,9219],{},"需手动管理 Cookie",[395,9221,9222],{},"需手动管理",[395,9224,9222],{},[372,9226,9227,9230,9233,9236,9238],{},[395,9228,9229],{},"跨页面",[395,9231,9232],{},"需 Chrome 扩展",[395,9234,9235],{},"✅ 原生支持",[395,9237,9235],{},[395,9239,8276],{},[372,9241,9242,9245,9248,9251,9254],{},[395,9243,9244],{},"目标用户",[395,9246,9247],{},"前端开发者 \u002F SaaS",[395,9249,9250],{},"测试工程师",[395,9252,9253],{},"Agent 开发者",[395,9255,9256],{},"自托管 Agent 用户",[372,9258,9259,9261,9263,9265,9267],{},[395,9260,1891],{},[395,9262,8343],{},[395,9264,1899],{},[395,9266,8343],{},[395,9268,8343],{},[372,9270,9271,9273,9276,9279,9282],{},[395,9272,8354],{},[395,9274,9275],{},"28k+",[395,9277,9278],{},"70k+",[395,9280,9281],{},"101k+",[395,9283,8357],{},[21,9285,575],{"id":574},[36,9287,9288,9291,9294,9297,9300,9303,9306,9309,9312,9315],{},[39,9289,9290],{},"✅ 想为 Web 应用添加 AI Copilot 的 SaaS 团队",[39,9292,9293],{},"✅ 需要自然语言操作后台管理系统的场景",[39,9295,9296],{},"✅ 用 AI 增强无障碍体验（语音控制、屏幕阅读器）",[39,9298,9299],{},"✅ 将客服机器人从「指导操作」升级为「直接操作」",[39,9301,9302],{},"✅ 前端开发者想用最低成本集成 AI 能力",[39,9304,9305],{},"✅ 中国大陆开发者（阿里巴巴出品，中文支持完美）",[39,9307,9308],{},"❌ 大规模跨网站爬取 \u002F 数据采集",[39,9310,9311],{},"❌ CI\u002FCD 自动化测试（用 Playwright）",[39,9313,9314],{},"❌ 无代码方案的非技术人员",[39,9316,9317],{},"❌ 需要高并发稳定性的生产级自动化",[21,9319,604],{"id":604},[36,9321,9322,9327],{},[39,9323,9324],{},[610,9325,9326],{"href":8570},"OpenManus 评测",[39,9328,9329],{},[610,9330,8505],{"href":8504},[21,9332,628],{"id":628},[630,9334,9335,9342,9349],{},[39,9336,9337,9338],{},"PageAgent 官方文档 ",[610,9339,9340],{"href":9340,"rel":9341},"https:\u002F\u002Falibaba.github.io\u002Fpage-agent\u002F",[639],[39,9343,9344,9345],{},"PageAgent GitHub 主仓库 ",[610,9346,9347],{"href":9347,"rel":9348},"https:\u002F\u002Fgithub.com\u002Falibaba\u002Fpage-agent",[639],[39,9350,9351,9352],{},"PageAgent 官网 ",[610,9353,9354],{"href":9354,"rel":9355},"https:\u002F\u002Fpageagent.net\u002F",[639],[662,9357,9358],{},"html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s9eBZ, html code.shiki .s9eBZ{--shiki-default:#22863A;--shiki-dark:#85E89D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}",{"title":202,"searchDepth":250,"depth":250,"links":9360},[9361,9362,9363,9364,9365,9370,9371,9372,9373],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":8722,"depth":224,"text":8723},{"id":936,"depth":224,"text":936,"children":9366},[9367,9368,9369],{"id":8788,"depth":250,"text":8789},{"id":8835,"depth":250,"text":8836},{"id":8990,"depth":250,"text":8991},{"id":364,"depth":224,"text":364},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fpageagent.webp","PageAgent 是阿里巴巴开源的纯前端 JavaScript GUI Agent 框架，采用 MIT 协议。核心创新在于：不依赖截图和多模态模型，而是通过 DOM 脱水（DOM Dehydration）技术将页面结构序列化为文本，让 LLM 理解并操作页面元素。仅需一行 `\u003Cscript>` 标签即可嵌入任何网页，实现自然语言驱动的点击、输入、导航等操作。",[9377,9380,9383,9386,9389,9392,9395,9398,9401,9404,9407],{"q":9378,"a":9379},"PageAgent 和传统浏览器自动化（Playwright \u002F Selenium）有什么区别？","PageAgent 是『页面内嵌』方案，直接在浏览器中作为 JavaScript 运行，天然继承用户登录态，无需无头浏览器和 Python 后端。Playwright 等是『外部驱动』方案，通过 CDP 协议远程控制浏览器，适合大规模测试和跨网站爬取。PageAgent 更适合为你的 Web 应用添加 AI 操作能力。",{"q":9381,"a":9382},"PageAgent 需要 Chrome 扩展吗？","不需要。PageAgent.js 作为独立脚本在单页面内即可工作。Chrome 扩展是可选的『增强包』，仅在需要跨标签页或多页面任务时才需要安装。",{"q":9384,"a":9385},"支持哪些 LLM？","支持任何兼容 OpenAI `\u002Fchat\u002Fcompletions` 接口的模型，包括 OpenAI GPT-4o、Claude 3.5、Qwen3.5、DeepSeek、Gemini、Grok、Kimi、GLM，以及通过 Ollama 运行的本地开源模型。用户提供自己的 API Key。",{"q":9387,"a":9388},"PageAgent 是国产的吗？","是的，由阿里巴巴开源，MIT 协议，TypeScript 编写。对中文场景有天然优化，支持中文指令和中文界面操作。",{"q":9390,"a":9391},"PageAgent 的 DOM 脱水（DOM Dehydration）是什么？","DOM 脱水是将页面 DOM 树压缩为精简文本的技术。它会移除样式信息、冗余容器和隐藏元素，只保留交互元素（按钮、输入框、链接等）及其索引，发送给 LLM 处理。相比截图方案，成本低一个数量级，速度更快（0.5-1s vs 2-5s）。",{"q":9393,"a":9394},"PageAgent 如何处理富文本编辑器（如 CodeMirror、Monaco）？","对于 CodeMirror 等自定义编辑器，PageAgent 默认无法直接识别 DOM 中的『输入框』。解决方案包括：先通过 DOM 判断编辑器类型，然后使用 `editor.setValue()` 或 `execCommand` 注入内容；或者预置编辑器适配器，让 LLM 知道当前编辑器类型并采用相应策略。",{"q":9396,"a":9397},"PageAgent 支持 Shadow DOM 吗？","默认 DOM 遍历不进 Shadow DOM 的 `#shadow-root`。如果页面使用 Web Components（如 Lit、Stencil），需要在初始化时配置 `enableShadowDOM: true`，PageAgent 会递归遍历所有 `shadowRoot` 子树的交互元素。",{"q":9399,"a":9400},"PageAgent 的 MCP Server 怎么用？","安装 `@page-agent\u002Fmcp` 包后，可以通过 MCP 协议让外部 Agent 客户端（如 Claude Desktop、Cursor）控制浏览器。MCP Server 在 PageAgent 的 Chrome 扩展之上运行，实现跨标签页和多页面任务。",{"q":9402,"a":9403},"PageAgent 最新版本是什么？","截至 2026 年 7 月，最新版本为 v1.12.2（2026-07-16 发布），自 2025 年 9 月开源以来已发布 30+ 个版本，迭代速度极快。生产环境建议 pin 版本号。",{"q":9405,"a":9406},"动态页面（如实时仪表盘）会导致 Agent 不稳定吗？","是的。页面有持续动画或轮询请求时，DOM 不断变化可能导致竞态条件。建议设置 `domStableTimeout: 3000`（最多等 3 秒），操作前使用 `MutationObserver` 确认目标元素已稳定。",{"q":9408,"a":9409},"PageAgent 和 browser-use 有什么区别？","PageAgent 是纯前端方案（一行 script 标签），不需要截图和多模态模型，部署在浏览器内。browser-use 是 Python 后端方案，需要截图 + 多模态 LLM + 无头浏览器，适合跨网站爬虫场景。PageAgent 成本更低、速度更快，但不适合大规模爬虫和数据采集。",[697,696,1345],{},[9413,9414,9415,9416,9417],"GPT-4o","Claude 3.5 Sonnet","Qwen3.5-plus","DeepSeek-V3","Gemini 2.5 Pro","\u002Ftools\u002Fagent\u002Fgeneral\u002Fpageagent",[704],[9421],{"plan":8023,"price":707,"features":9422,"notes":8575},"MIT 协议 + 全部功能 + 自托管 + DOM Dehydration + 任意 LLM 接入 + Chrome 扩展 + MCP Server","MIT 完全免费开源 \u002F 用户自付 LLM API（支持 OpenAI \u002F Claude \u002F Qwen \u002F DeepSeek 等任意兼容模型）","2026-07-28",[9426],"pageagent-deep-review",{"power":257,"ux":257,"price":264,"cn_support":264,"stability":250},{"title":8602,"description":9375},"PageAgent - 阿里开源前端 GUI Agent 评测 | AIHO","agent\u002Fgeneral\u002Fpageagent",[9432,9434,9436],{"name":9433,"url":9340,"accessed":9424},"PageAgent 官方文档",{"name":9435,"url":9347,"accessed":9424},"PageAgent GitHub（alibaba 组织）",{"name":9437,"url":9354,"accessed":9424},"PageAgent 官网","tools\u002Fagent\u002Fgeneral\u002Fpageagent","阿里巴巴开源纯前端 GUI Agent——一行 script 标签让 AI 自然语言控制你的 Web 页面",[745,742,8595,9441,9442,9443,9444],"dom-dehydration","alibaba","javascript","frontend","想为你的 Web 应用添加 AI 操作能力、又不想搭后端和无头浏览器的开发者首选——一行代码嵌入，纯文本 DOM 分析，接入任意 LLM 即可。需要跨网站爬取\u002F大规模测试场景建议 Playwright 或 browser-use。","gpQrt3fB0O_cVpP88kLwZ7DA5m1aW0E9a1E3pcHhoA0",{"id":9448,"title":9449,"alternatives":9450,"api_compatible":16,"body":9451,"category":3872,"chinese_friendly":250,"cover":9912,"description":9913,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":9914,"lastVerified":2637,"meta":9915,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":9916,"pillar":700,"platforms":9917,"priceTable":16,"pricing":9918,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":9919,"self_host":680,"seo":9920,"seoTitle":9921,"slug":9922,"sources":9923,"stem":9925,"suitable":16,"tagline":9926,"tags":9927,"updated":2637,"verdict":9931,"website":9631,"__hash__":9932},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fperplexity.md","Perplexity",[3933,15,3379],{"type":18,"value":9452,"toc":9899},[9453,9455,9458,9461,9463,9518,9520,9565,9570,9572,9578,9598,9602,9622,9624,9650,9652,9777,9779,9817,9819,9848,9850,9856,9862,9868,9874,9876,9886,9888,9892],[21,9454,24],{"id":23},[26,9456,9457],{},"Perplexity 是目前体验最成熟的 AI 搜索引擎——实时联网检索、每句回答附带引用来源、Pro Search 多步推理拆解复杂问题。Free 版每天有 5 次 Pro Search 额度，Pro 版 $20\u002F月解锁无限深度搜索 + Claude\u002FGPT-4 等顶级模型 + 文件上传分析。Web\u002FiOS\u002FAndroid 全平台覆盖。",[26,9459,9460],{},"适合：研究人员、记者、分析师、开发者查技术资料、需要可溯源信息的用户。不适合：国内无海外网络的用户、需要中文本土化搜索体验的用户（选 Genspark \u002F 秘塔）、需要生成长文\u002F代码的创作者（用 ChatGPT \u002F Claude）。",[21,9462,34],{"id":34},[36,9464,9465,9471,9477,9483,9488,9494,9500,9506,9512],{},[39,9466,9467,9470],{},[42,9468,9469],{},"实时联网搜索","：每次提问实时检索互联网最新内容，不依赖训练数据截止日期",[39,9472,9473,9476],{},[42,9474,9475],{},"引用溯源","：回答中每句话标注来源链接，点击可跳转原文，可信度高",[39,9478,9479,9482],{},[42,9480,9481],{},"Pro Search 深度推理","：多步拆解复杂问题，多次搜索 + 综合，适合深度研究",[39,9484,9485,9487],{},[42,9486,1820],{},"：Pro 版可选 GPT-4o、Claude 3.5 Sonnet、Sonar 等模型",[39,9489,9490,9493],{},[42,9491,9492],{},"Focus 模式","：可限定搜索范围（学术 \u002F YouTube \u002F Reddit \u002F 新闻等）",[39,9495,9496,9499],{},[42,9497,9498],{},"文件上传分析","：Pro 版支持上传 PDF\u002F图片，结合联网搜索分析",[39,9501,9502,9505],{},[42,9503,9504],{},"Collections 收藏","：将搜索结果组织成主题集合，支持团队共享",[39,9507,9508,9511],{},[42,9509,9510],{},"Spaces 工作区","：自定义指令 + 模型偏好 + 文件库，打造个性化研究助手",[39,9513,9514,9517],{},[42,9515,9516],{},"API 接口","：Pro 版提供 Sonar API，可集成到自有应用",[21,9519,108],{"id":108},[366,9521,9522,9534],{},[369,9523,9524],{},[372,9525,9526,9529,9531],{},[375,9527,9528],{},"方案",[375,9530,108],{},[375,9532,9533],{},"核心功能",[390,9535,9536,9545,9554],{},[372,9537,9538,9540,9542],{},[395,9539,843],{},[395,9541,707],{},[395,9543,9544],{},"每天 5 次 Pro Search、基础模型、无限快速搜索",[372,9546,9547,9549,9551],{},[395,9548,849],{},[395,9550,1155],{},[395,9552,9553],{},"无限 Pro Search、GPT-4o\u002FClaude\u002FSonar 模型、文件上传、API",[372,9555,9556,9559,9562],{},[395,9557,9558],{},"Pro 年付",[395,9560,9561],{},"$200\u002F年",[395,9563,9564],{},"同 Pro，约省 $40",[130,9566,9567],{},[26,9568,9569],{},"价格信息基于 2026-07 官网，可能调整。",[21,9571,2241],{"id":2240},[130,9573,9574],{},[26,9575,2246,9576],{},[42,9577,143],{},[36,9579,9580,9583,9586,9589,9592,9595],{},[39,9581,9582],{},"Pro Search 拆解复杂研究问题的能力非常强，会自动分步搜索再综合",[39,9584,9585],{},"引用溯源是核心卖点，回答可信度远超纯 LLM 对话",[39,9587,9588],{},"Focus 限定学术搜索时，引用 arXiv \u002F 论文来源质量高",[39,9590,9591],{},"iOS App 体验流畅，语音提问 + 实时搜索 + 摘要一气呵成",[39,9593,9594],{},"Collections 功能做主题研究非常实用，可回溯完整搜索链路",[39,9596,9597],{},"响应速度在 AI 搜索类产品中属于第一梯队",[26,9599,9600],{},[42,9601,168],{},[36,9603,9604,9607,9610,9613,9616,9619],{},[39,9605,9606],{},"Free 版每天 5 次 Pro Search 很快用完，基础搜索深度明显不足",[39,9608,9609],{},"中文查询的检索质量不如英文，部分中文来源覆盖不全",[39,9611,9612],{},"Pro Search 耗时较长（30 秒 - 2 分钟），简单问题别用",[39,9614,9615],{},"国内访问需要海外网络，延迟和稳定性受影响",[39,9617,9618],{},"文件上传分析有时会忽略部分内容，不如 Claude \u002F ChatGPT 的文档理解深",[39,9620,9621],{},"偶有引用来源质量参差（SEO 内容农场），需自行判断",[21,9623,936],{"id":936},[630,9625,9626,9635,9638,9641,9644,9647],{},[39,9627,9628,9629,9634],{},"访问 ",[610,9630,9633],{"href":9631,"rel":9632},"https:\u002F\u002Fperplexity.ai",[639],"perplexity.ai"," 注册账号（支持 Google\u002FApple 登录）",[39,9636,9637],{},"输入问题，默认快速搜索，点击 \"Pro\" 按钮切换深度搜索",[39,9639,9640],{},"使用 Focus 按钮限定搜索范围（Academic \u002F YouTube \u002F Reddit 等）",[39,9642,9643],{},"上传 PDF 或图片，让 Perplexity 结合联网信息分析",[39,9645,9646],{},"创建 Collection 组织研究主题，保存有价值的搜索结果",[39,9648,9649],{},"Pro 用户在 Settings 中切换底层模型（GPT-4o \u002F Claude \u002F Sonar）",[21,9651,364],{"id":364},[366,9653,9654,9670],{},[369,9655,9656],{},[372,9657,9658,9660,9662,9664,9667],{},[375,9659,377],{},[375,9661,9449],{},[375,9663,4135],{},[375,9665,9666],{},"秘塔搜索",[375,9668,9669],{},"ChatGPT Search",[390,9671,9672,9687,9701,9716,9731,9748,9764],{},[372,9673,9674,9676,9679,9682,9684],{},[395,9675,9475],{},[395,9677,9678],{},"✅ 每句标注",[395,9680,9681],{},"✅ 段落级",[395,9683,9681],{},[395,9685,9686],{},"✅ 部分标注",[372,9688,9689,9692,9695,9697,9699],{},[395,9690,9691],{},"深度推理",[395,9693,9694],{},"✅ Pro Search",[395,9696,4717],{},[395,9698,426],{},[395,9700,426],{},[372,9702,9703,9706,9708,9711,9714],{},[395,9704,9705],{},"中文优化",[395,9707,1815],{},[395,9709,9710],{},"好",[395,9712,9713],{},"优秀",[395,9715,1815],{},[372,9717,9718,9721,9724,9726,9729],{},[395,9719,9720],{},"国内访问",[395,9722,9723],{},"需海外网络",[395,9725,9723],{},[395,9727,9728],{},"✅ 直连",[395,9730,9723],{},[372,9732,9733,9736,9739,9742,9745],{},[395,9734,9735],{},"免费额度",[395,9737,9738],{},"5 次\u002F天 Pro",[395,9740,9741],{},"较宽松",[395,9743,9744],{},"完全免费",[395,9746,9747],{},"需 Plus",[372,9749,9750,9753,9756,9759,9761],{},[395,9751,9752],{},"模型选择",[395,9754,9755],{},"✅ Pro 多选",[395,9757,9758],{},"固定",[395,9760,9758],{},[395,9762,9763],{},"GPT 系列",[372,9765,9766,9769,9771,9773,9775],{},[395,9767,9768],{},"生成报告",[395,9770,426],{},[395,9772,4717],{},[395,9774,1100],{},[395,9776,426],{},[21,9778,521],{"id":521},[36,9780,9781,9787,9793,9799,9805,9811],{},[39,9782,9783,9786],{},[42,9784,9785],{},"简单问题别用 Pro Search","：浪费额度，快速搜索足够",[39,9788,9789,9792],{},[42,9790,9791],{},"注意引用质量","：部分来源是 SEO 内容，关键信息交叉验证",[39,9794,9795,9798],{},[42,9796,9797],{},"中文长尾查询效果打折","：换英文关键词或换本土搜索工具",[39,9800,9801,9804],{},[42,9802,9803],{},"Free 额度规划","：5 次 Pro Search 留给真正需要深度研究的问题",[39,9806,9807,9810],{},[42,9808,9809],{},"API 调用注意成本","：Sonar API 按 token 计费，复杂搜索消耗大",[39,9812,9813,9816],{},[42,9814,9815],{},"不要完全依赖","：AI 搜索仍有幻觉风险，重要决策人工核实",[21,9818,575],{"id":574},[36,9820,9821,9824,9827,9830,9833,9836,9839,9842,9845],{},[39,9822,9823],{},"✅ 需要可溯源信息的深度研究",[39,9825,9826],{},"✅ 学术 \u002F 技术资料检索（Focus Academic 模式）",[39,9828,9829],{},"✅ 记者分析师快速调研 + 引用整理",[39,9831,9832],{},"✅ 开发者查最新技术文档和版本信息",[39,9834,9835],{},"✅ 英文为主的搜索场景",[39,9837,9838],{},"❌ 国内无海外网络环境（用秘塔 \u002F Genspark）",[39,9840,9841],{},"❌ 需要生成长文 \u002F 代码 \u002F 创意内容（用 ChatGPT \u002F Claude）",[39,9843,9844],{},"❌ 需要中文本土化搜索体验",[39,9846,9847],{},"❌ 需要完全免费且无限制（用秘塔搜索）",[21,9849,2552],{"id":2551},[26,9851,9852,9855],{},[42,9853,9854],{},"Q: Perplexity 和 ChatGPT 的搜索有什么区别？","\nA: Perplexity 是搜索优先——每次回答都基于实时检索 + 引用溯源，Pro Search 做多步推理拆解。ChatGPT Search 是对话优先 + 搜索辅助，引用标注不如 Perplexity 系统。深度研究选 Perplexity，多轮对话和创作选 ChatGPT。",[26,9857,9858,9861],{},[42,9859,9860],{},"Q: Free 版够用吗？","\nA: 日常快速搜索完全够用。但 Pro Search 每天 5 次额度对于深度研究用户偏紧，如果你经常需要多步推理搜索，Pro 版的无限额度 + 顶级模型 + 文件上传值得付费。",[26,9863,9864,9867],{},[42,9865,9866],{},"Q: 国内能用吗？","\nA: 网站和 App 都需要海外网络才能访问，且延迟和稳定性受网络环境影响。如果主要搜索中文内容，秘塔搜索、Genspark 等替代品体验更顺畅。",[26,9869,9870,9873],{},[42,9871,9872],{},"Q: Pro 版选哪个模型好？","\nA: 通用搜索用默认 Sonar 即可（速度快 + 成本低）。复杂推理和分析任务切 Claude 3.5 Sonnet 或 GPT-4o。代码相关问题 GPT-4o 表现更稳。",[21,9875,604],{"id":604},[26,9877,9878,2589,9882],{},[610,9879,9881],{"href":9880},"\u002Fagent\u002Fplatform\u002Fanythingllm.html","AnythingLLM",[610,9883,9885],{"href":9884},"\u002Fagent\u002Fplatform\u002Fragflow.html","RAGFlow",[21,9887,628],{"id":628},[130,9889,9890],{},[26,9891,2604],{},[36,9893,9894],{},[39,9895,9896],{},[610,9897,2613],{"href":9631,"rel":9898},[639],{"title":202,"searchDepth":250,"depth":250,"links":9900},[9901,9902,9903,9904,9905,9906,9907,9908,9909,9910,9911],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fperplexity.webp","Perplexity 真实评测：AI 驱动的搜索引擎，实时联网检索 + 引用溯源 + Pro Search 深度推理。支持 Web\u002FiOS\u002FAndroid，Free + Pro $20\u002F月，适合需要带引用的实时信息检索和深度问答的用户，国内访问需海外网络。",[697],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fperplexity",[704,4426,702],"Free \u002F Pro $20\u002Fmo",{"power":257,"ux":264,"price":250,"cn_support":224,"stability":264},{"title":9449,"description":9913},"Perplexity - AI 搜索引擎评测与使用指南 | AIHO","agent\u002Fgeneral\u002Fperplexity",[9924],{"title":2613,"url":9631},"tools\u002Fagent\u002Fgeneral\u002Fperplexity","AI 搜索引擎，实时联网 + 引用溯源 + Pro Search",[5764,9928,9929,9930],"search","research","citation","需要带引用的实时信息检索和深度研究问答时的首选 AI 搜索引擎，Pro Search 的多步推理 + 溯源能力在同类产品中体验最佳，但国内用户需海外网络且中文优化不及本土竞品。","TrVdio9RzoMR9r3nJD8RfbmMb3w8DTt4xZT2XznDcPk",{"id":9934,"title":9881,"alternatives":9935,"api_compatible":16,"body":9937,"category":10404,"chinese_friendly":250,"cover":10405,"description":10406,"domestic":680,"extension":681,"faq":16,"free":680,"github":10389,"languages":10407,"lastVerified":2637,"meta":10408,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":10409,"pillar":700,"platforms":10410,"priceTable":16,"pricing":10411,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":10412,"self_host":680,"seo":10413,"seoTitle":10414,"slug":10415,"sources":10416,"stem":10419,"suitable":16,"tagline":10420,"tags":10421,"updated":2637,"verdict":10425,"website":10383,"__hash__":10426},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fanythingllm.md",[5776,9936,7922],"agent\u002Fplatform\u002Ffastgpt",{"type":18,"value":9938,"toc":10391},[9939,9941,9944,9947,9949,10003,10005,10049,10053,10055,10061,10085,10089,10109,10111,10139,10141,10258,10260,10301,10303,10332,10334,10340,10346,10352,10358,10360,10371,10373,10377],[21,9940,24],{"id":23},[26,9942,9943],{},"AnythingLLM 是 Mintplex Labs 出品的开源私有部署 LLM 平台，MIT 协议，主打\"一站式 RAG 知识库 + Agent + 多用户权限管理\"。桌面应用 \u002F Docker 双部署模式，接入 OpenAI \u002F Claude \u002F Ollama \u002F Azure 等任意模型，Workspaces 隔离不同知识库，内置向量数据库。适合需要私有化部署 AI 知识库且不写代码的团队。",[26,9945,9946],{},"适合：企业内网知识库、团队共享 AI 助手、需要多用户权限控制的私有化场景。不适合：需要复杂 Agent 编排（用 Dify \u002F Langflow）、需要极致 RAG 召回精度（用 RAGFlow \u002F FastGPT）、需要大规模并发生产服务。",[21,9948,34],{"id":34},[36,9950,9951,9956,9962,9968,9974,9980,9986,9992,9998],{},[39,9952,9953,9955],{},[42,9954,104],{},"：Docker \u002F 桌面应用（Win\u002FMac\u002FLinux），数据完全在内网",[39,9957,9958,9961],{},[42,9959,9960],{},"Workspaces 知识库隔离","：不同工作区独立向量库 + 文档 + 对话历史",[39,9963,9964,9967],{},[42,9965,9966],{},"多用户权限管理","：管理员 \u002F 用户 \u002F 多工作区角色分配，适合团队使用",[39,9969,9970,9973],{},[42,9971,9972],{},"任意模型接入","：OpenAI \u002F Claude \u002F Azure \u002F Ollama \u002F LM Studio \u002F 本地模型",[39,9975,9976,9979],{},[42,9977,9978],{},"多向量数据库","：内置 LanceDB，可选 Chroma \u002F Pinecone \u002F Weaviate \u002F Qdrant",[39,9981,9982,9985],{},[42,9983,9984],{},"文档处理","：PDF \u002F Word \u002F Excel \u002F TXT \u002F Markdown \u002F 网页链接，自动切片 + 向量化",[39,9987,9988,9991],{},[42,9989,9990],{},"Agent 能力","：内置 Web 搜索 \u002F RAG 搜索 \u002F SQL 查询等工具调用",[39,9993,9994,9997],{},[42,9995,9996],{},"嵌入向量","：支持自定义 embedding 模型，兼容 OpenAI \u002F 本地嵌入",[39,9999,10000,10002],{},[42,10001,9516],{},"：提供完整 REST API，可集成到外部系统",[21,10004,108],{"id":108},[366,10006,10007,10017],{},[369,10008,10009],{},[372,10010,10011,10013,10015],{},[375,10012,9528],{},[375,10014,108],{},[375,10016,9533],{},[390,10018,10019,10028,10039],{},[372,10020,10021,10023,10025],{},[395,10022,5722],{},[395,10024,707],{},[395,10026,10027],{},"完整功能，MIT 协议，自托管",[372,10029,10030,10033,10036],{},[395,10031,10032],{},"Cloud",[395,10034,10035],{},"$30\u002F月起",[395,10037,10038],{},"托管服务，免去运维，含团队协作",[372,10040,10041,10043,10046],{},[395,10042,833],{},[395,10044,10045],{},"联系销售",[395,10047,10048],{},"SSO \u002F 审计日志 \u002F 私有部署支持",[130,10050,10051],{},[26,10052,9569],{},[21,10054,2241],{"id":2240},[130,10056,10057],{},[26,10058,2246,10059],{},[42,10060,143],{},[36,10062,10063,10070,10073,10076,10079,10082],{},[39,10064,10065,10066,10069],{},"Docker 部署极快，一条 ",[204,10067,10068],{},"docker-compose up"," 起来就能用",[39,10071,10072],{},"Workspaces 隔离设计实用，不同部门知识库互不干扰",[39,10074,10075],{},"接 Ollama 本地模型完全离线运行，数据不出内网",[39,10077,10078],{},"桌面应用适合个人用户，安装即用零配置",[39,10080,10081],{},"文档上传后自动切片 + 向量化，问答效果在通用场景下可接受",[39,10083,10084],{},"多用户权限管理是开源 RAG 平台中少有的完整实现",[26,10086,10087],{},[42,10088,168],{},[36,10090,10091,10094,10097,10100,10103,10106],{},[39,10092,10093],{},"文档切片策略偏简单（固定长度），复杂表格 \u002F 图文混排召回效果一般",[39,10095,10096],{},"大文件（100MB+ PDF）处理偶尔超时，需调超时参数",[39,10098,10099],{},"Agent 能力有限，复杂工具链编排不如 Dify",[39,10101,10102],{},"向量库默认 LanceDB 在数据量大时查询变慢，建议切 Qdrant \u002F Chroma",[39,10104,10105],{},"UI 偶有卡顿，文档列表加载慢",[39,10107,10108],{},"中文文档的 OCR 需要额外配置，默认对扫描件支持有限",[21,10110,936],{"id":936},[630,10112,10113,10120,10127,10130,10133,10136],{},[39,10114,10115,10116,10119],{},"Docker 部署：",[204,10117,10118],{},"docker-compose up -d","（官方提供 docker-compose.yml）",[39,10121,10122,10123,10126],{},"首次访问 ",[204,10124,10125],{},"http:\u002F\u002Flocalhost:3001","，创建管理员账号",[39,10128,10129],{},"Settings → LLM Provider 配置模型（OpenAI API Key 或 Ollama 地址）",[39,10131,10132],{},"创建 Workspace → 上传文档（PDF\u002FWord\u002FTXT）",[39,10134,10135],{},"等待文档向量化完成，在 Chat 中开始问答",[39,10137,10138],{},"Settings → Users 添加团队成员并分配工作区权限",[21,10140,364],{"id":364},[366,10142,10143,10160],{},[369,10144,10145],{},[372,10146,10147,10149,10151,10154,10157],{},[375,10148,377],{},[375,10150,9881],{},[375,10152,10153],{},"Dify",[375,10155,10156],{},"FastGPT",[375,10158,10159],{},"Langflow",[390,10161,10162,10176,10190,10203,10219,10233,10245],{},[372,10163,10164,10167,10170,10172,10174],{},[395,10165,10166],{},"部署门槛",[395,10168,10169],{},"极低",[395,10171,2458],{},[395,10173,2458],{},[395,10175,2458],{},[372,10177,10178,10181,10184,10186,10188],{},[395,10179,10180],{},"多用户权限",[395,10182,10183],{},"✅ 完整",[395,10185,1100],{},[395,10187,1100],{},[395,10189,426],{},[372,10191,10192,10195,10197,10199,10201],{},[395,10193,10194],{},"RAG 精度",[395,10196,2458],{},[395,10198,2461],{},[395,10200,2461],{},[395,10202,2458],{},[372,10204,10205,10208,10211,10214,10216],{},[395,10206,10207],{},"Agent 编排",[395,10209,10210],{},"基础",[395,10212,10213],{},"强",[395,10215,2458],{},[395,10217,10218],{},"强（可视化）",[372,10220,10221,10224,10227,10229,10231],{},[395,10222,10223],{},"模型接入",[395,10225,10226],{},"丰富",[395,10228,10226],{},[395,10230,10226],{},[395,10232,10226],{},[372,10234,10235,10237,10239,10241,10243],{},[395,10236,6047],{},[395,10238,1100],{},[395,10240,426],{},[395,10242,426],{},[395,10244,426],{},[372,10246,10247,10249,10251,10253,10256],{},[395,10248,1891],{},[395,10250,8343],{},[395,10252,1899],{},[395,10254,10255],{},"FastGPT Open",[395,10257,8343],{},[21,10259,521],{"id":521},[36,10261,10262,10268,10274,10280,10289,10295],{},[39,10263,10264,10267],{},[42,10265,10266],{},"切片策略默认偏简单","：对结构化文档（表格\u002F代码）效果差，可调 chunk size",[39,10269,10270,10273],{},[42,10271,10272],{},"LanceDB 大数据量变慢","：文档超过 1 万条建议切 Qdrant 或 Chroma",[39,10275,10276,10279],{},[42,10277,10278],{},"大文件超时","：调整 Docker 超时配置，或拆分文档上传",[39,10281,10282,10285,10286],{},[42,10283,10284],{},"Ollama 连接","：Docker 内访问宿主机 Ollama 需用 ",[204,10287,10288],{},"host.docker.internal",[39,10290,10291,10294],{},[42,10292,10293],{},"embedding 模型选择","：中文场景建议用 bge-large-zh 而非默认 OpenAI embedding",[39,10296,10297,10300],{},[42,10298,10299],{},"不要当生产级 Agent 平台用","：Agent 能力是辅助，复杂编排上 Dify",[21,10302,575],{"id":574},[36,10304,10305,10308,10311,10314,10317,10320,10323,10326,10329],{},[39,10306,10307],{},"✅ 企业内网私有化 AI 知识库",[39,10309,10310],{},"✅ 团队共享 AI 助手 + 多用户权限管理",[39,10312,10313],{},"✅ 接 Ollama 完全离线运行",[39,10315,10316],{},"✅ 个人桌面端快速体验 RAG",[39,10318,10319],{},"✅ 需要快速验证 RAG 概念的原型项目",[39,10321,10322],{},"❌ 需要复杂 Agent 工作流编排（用 Dify \u002F Langflow）",[39,10324,10325],{},"❌ 需要极致 RAG 召回精度（用 RAGFlow \u002F FastGPT）",[39,10327,10328],{},"❌ 大规模并发生产服务（架构未做高可用）",[39,10330,10331],{},"❌ 需要深度文档解析（复杂表格\u002F公式\u002F扫描件）",[21,10333,2552],{"id":2551},[26,10335,10336,10339],{},[42,10337,10338],{},"Q: AnythingLLM 和 Dify 怎么选？","\nA: AnythingLLM 更轻量，部署快、有桌面应用、多用户权限开箱即用，适合快速搭建团队知识库。Dify 功能更全面，Agent 编排、工作流、API 发布能力更强，适合需要构建复杂 AI 应用的团队。简单知识库选 AnythingLLM，复杂应用选 Dify。",[26,10341,10342,10345],{},[42,10343,10344],{},"Q: 可以完全离线使用吗？","\nA: 可以。接 Ollama 本地模型 + 用本地 embedding 模型（如 bge-large-zh）+ 内置 LanceDB 向量库，整个系统完全离线运行，数据不出内网。适合数据敏感的企业场景。",[26,10347,10348,10351],{},[42,10349,10350],{},"Q: 免费开源版有什么限制？","\nA: MIT 协议开源版功能完整，无用户数 \u002F 文档数 \u002F API 调用限制。Cloud 版和 Enterprise 版主要是托管服务和企业管理功能（SSO \u002F 审计日志），功能层面开源版已够用。",[26,10353,10354,10357],{},[42,10355,10356],{},"Q: 支持中文文档吗？","\nA: 支持，但效果取决于 embedding 模型。默认 OpenAI embedding 对中文尚可，追求精度建议切换 bge-large-zh 或 m3e 模型。OCR 扫描件需额外配置 Tesseract 或接入外部 OCR 服务。",[21,10359,604],{"id":604},[26,10361,10362,2589,10364,2589,10368],{},[610,10363,9885],{"href":9884},[610,10365,10367],{"href":10366},"\u002Fagent\u002Fplatform\u002Fflowise.html","Flowise",[610,10369,9449],{"href":10370},"\u002Fagent\u002Fgeneral\u002Fperplexity.html",[21,10372,628],{"id":628},[130,10374,10375],{},[26,10376,2604],{},[36,10378,10379,10385],{},[39,10380,10381],{},[610,10382,2613],{"href":10383,"rel":10384},"https:\u002F\u002Fuseanything.com",[639],[39,10386,10387],{},[610,10388,2620],{"href":10389,"rel":10390},"https:\u002F\u002Fgithub.com\u002FMintplex-Labs\u002Fanything-llm",[639],{"title":202,"searchDepth":250,"depth":250,"links":10392},[10393,10394,10395,10396,10397,10398,10399,10400,10401,10402,10403],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"platform","\u002Fimg\u002Ftools\u002Fanythingllm.webp","AnythingLLM 真实评测：Mintplex Labs 出品的开源私有部署 LLM 平台（MIT 协议），一站式 RAG 知识库 + Agent + 多用户权限管理。支持 Docker\u002F桌面部署，接入 OpenAI\u002FClaude\u002FOllama 等任意模型，适合企业内网私有化 AI 知识库场景。",[697],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fanythingllm",[1349,1348,1350,2861],"Free \u002F 开源（MIT）\u002F Cloud",{"power":250,"ux":257,"price":264,"cn_support":250,"stability":250},{"title":9881,"description":10406},"AnythingLLM - 开源私有部署 LLM 平台评测 | AIHO","agent\u002Fplatform\u002Fanythingllm",[10417,10418],{"title":2613,"url":10383},{"title":2620,"url":10389},"tools\u002Fagent\u002Fplatform\u002Fanythingllm","开源私有部署 LLM 平台，一站式 RAG + Agent + 多用户",[10422,745,3367,10423,10424],"agent-platform","rag","multi-user","需要快速搭建私有化 AI 知识库且要求多用户权限管理的企业团队首选，MIT 协议 + 桌面\u002FDocker 双模式 + 任意模型接入降低了部署门槛，但 RAG 精度和 Agent 编排能力不及 Dify\u002FFastGPT 等专业平台。","iKAMhkQImqK_QZGWLaE4i_9IjAMMpCeSwojp4L34T6A",{"id":10428,"title":10429,"alternatives":10430,"api_compatible":16,"body":10432,"category":10404,"chinese_friendly":224,"cover":10897,"description":10898,"domestic":680,"extension":681,"faq":16,"free":680,"github":10882,"languages":10899,"lastVerified":2637,"meta":10900,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":10901,"pillar":700,"platforms":10902,"priceTable":16,"pricing":10903,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":10904,"self_host":680,"seo":10905,"seoTitle":10906,"slug":10907,"sources":10908,"stem":10911,"suitable":16,"tagline":10912,"tags":10913,"updated":2637,"verdict":10916,"website":10876,"__hash__":10917},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fautogen.md","AutoGen",[10431,7922,5776],"agent\u002Fplatform\u002Fcrewai",{"type":18,"value":10433,"toc":10884},[10434,10436,10443,10446,10448,10501,10503,10506,10508,10514,10538,10542,10565,10567,10603,10605,10727,10729,10776,10778,10810,10812,10818,10836,10842,10851,10853,10864,10866,10870],[21,10435,24],{"id":23},[26,10437,10438,10439,10442],{},"AutoGen 是微软研究院开源的多 Agent 对话框架（MIT 协议），用 Python 代码定义 Agent 角色、对话流程和工具调用。核心是 ",[204,10440,10441],{},"ConversableAgent"," + Group Chat 模式——多个 Agent 自动对话协作完成任务，支持代码执行、工具调用、人在回路（human-in-the-loop）。AutoGen 0.4+ 重构为事件驱动架构，性能和扩展性大幅提升。",[26,10444,10445],{},"适合：AI 研究者、需要精细控制 Agent 协作逻辑的高级开发者、多 Agent 实验项目。不适合：快速原型验证（用 CrewAI）、非技术用户（用 Dify \u002F Flowise）、需要 GUI 的场景、追求 API 稳定性的生产项目。",[21,10447,34],{"id":34},[36,10449,10450,10456,10461,10466,10472,10478,10484,10489,10495],{},[39,10451,10452,10455],{},[42,10453,10454],{},"多 Agent 对话","：Group Chat 模式，多个 Agent 自动对话协作完成任务",[39,10457,10458,10460],{},[42,10459,2397],{},"：内置 Docker 代码执行器，Agent 可写代码 + 运行 + 调试",[39,10462,10463,10465],{},[42,10464,5263],{},"：自定义函数工具，Agent 自动选择和调用",[39,10467,10468,10471],{},[42,10469,10470],{},"人在回路","：Human-in-the-loop 模式，关键决策需人工确认",[39,10473,10474,10477],{},[42,10475,10476],{},"事件驱动架构","：0.4+ 重构为 async 事件驱动，支持分布式 Agent",[39,10479,10480,10483],{},[42,10481,10482],{},"可定制 Agent","：system message \u002F 工具集 \u002F 终止条件全可自定义",[39,10485,10486,10488],{},[42,10487,2209],{},"：OpenAI \u002F Claude \u002F Azure \u002F Ollama \u002F Gemini 等",[39,10490,10491,10494],{},[42,10492,10493],{},"Agent 可组合","：嵌套 Agent、层级 Agent、条件路由",[39,10496,10497,10500],{},[42,10498,10499],{},"可观测性","：集成 OpenTelemetry \u002F LangSmith 追踪 Agent 行为",[21,10502,108],{"id":108},[26,10504,10505],{},"完全免费、MIT 开源、商用免费。运行成本仅来自所接入的 LLM API 调用费用。",[21,10507,2241],{"id":2240},[130,10509,10510],{},[26,10511,2246,10512],{},[42,10513,143],{},[36,10515,10516,10519,10522,10525,10532,10535],{},[39,10517,10518],{},"Group Chat 模式让多 Agent 协作真正\"自动化\"，代码 reviewer + coder + tester 角色分工清晰",[39,10520,10521],{},"Docker 代码执行器安全隔离，Agent 写的代码在沙箱中运行",[39,10523,10524],{},"0.4+ 的事件驱动架构性能提升明显，异步并发能力强",[39,10526,10527,10528,10531],{},"自定义工具集成灵活，Python 函数加 ",[204,10529,10530],{},"@user_function"," 装饰器即可",[39,10533,10534],{},"微软背书，学术认可度高，论文引用多",[39,10536,10537],{},"人在回路模式适合需要人工把关的高风险场景",[26,10539,10540],{},[42,10541,168],{},[36,10543,10544,10547,10550,10553,10556,10559,10562],{},[39,10545,10546],{},"学习曲线非常陡峭，文档虽全但概念密集，新手容易劝退",[39,10548,10549],{},"0.2 → 0.4 API 大改，迁移成本高，网上旧教程大量失效",[39,10551,10552],{},"Agent 对话容易\"跑飞\"——无限循环 \u002F 偏离主题，需仔细设计终止条件",[39,10554,10555],{},"无 GUI，调试全靠日志和 print，排查多 Agent 对话链路费时",[39,10557,10558],{},"Token 消耗大——多 Agent 对话轮次多，API 费用叠加明显",[39,10560,10561],{},"错误处理不够健壮，LLM 返回格式异常时容易崩溃",[39,10563,10564],{},"社区活跃度不如 LangChain \u002F CrewAI，遇到问题搜索不到答案",[21,10566,936],{"id":936},[630,10568,10569,10575,10582,10588,10594,10600],{},[39,10570,10571,10574],{},[204,10572,10573],{},"pip install autogen-agentchat autogen-ext","（0.4+ 新包名）",[39,10576,10577,10578,10581],{},"配置 LLM：设置 ",[204,10579,10580],{},"OPENAI_API_KEY"," 环境变量或代码内传入",[39,10583,10584,10585],{},"定义 Agent：",[204,10586,10587],{},"AssistantAgent(name=\"coder\", system_message=\"...\", model_client=...)",[39,10589,10590,10591],{},"创建 Group Chat：",[204,10592,10593],{},"RoundRobinGroupChat(agents=[agent1, agent2])",[39,10595,10596,10597],{},"发起任务：",[204,10598,10599],{},"result = await team.run(task=\"写一个贪吃蛇游戏\")",[39,10601,10602],{},"进阶：加 Docker 代码执行器 + 自定义工具 + 人在回路",[21,10604,364],{"id":364},[366,10606,10607,10622],{},[369,10608,10609],{},[372,10610,10611,10613,10615,10617,10620],{},[375,10612,377],{},[375,10614,10429],{},[375,10616,8250],{},[375,10618,10619],{},"LangGraph",[375,10621,10153],{},[390,10623,10624,10638,10651,10668,10683,10696,10711],{},[372,10625,10626,10628,10631,10633,10635],{},[395,10627,2367],{},[395,10629,10630],{},"Python 框架",[395,10632,10630],{},[395,10634,10630],{},[395,10636,10637],{},"可视化平台",[372,10639,10640,10642,10644,10646,10648],{},[395,10641,5576],{},[395,10643,2461],{},[395,10645,2458],{},[395,10647,2461],{},[395,10649,10650],{},"低",[372,10652,10653,10656,10659,10662,10665],{},[395,10654,10655],{},"多 Agent",[395,10657,10658],{},"✅ Group Chat",[395,10660,10661],{},"✅ Crew 角色",[395,10663,10664],{},"✅ 图编排",[395,10666,10667],{},"✅ 工作流",[372,10669,10670,10672,10675,10678,10680],{},[395,10671,2397],{},[395,10673,10674],{},"✅ Docker 沙箱",[395,10676,10677],{},"需自定义",[395,10679,10677],{},[395,10681,10682],{},"沙箱",[372,10684,10685,10687,10689,10692,10694],{},[395,10686,6975],{},[395,10688,426],{},[395,10690,10691],{},"❌（有 CrewAI Studio）",[395,10693,426],{},[395,10695,1100],{},[372,10697,10698,10701,10704,10707,10709],{},[395,10699,10700],{},"API 稳定性",[395,10702,10703],{},"一般（大改过）",[395,10705,10706],{},"较好",[395,10708,9710],{},[395,10710,9710],{},[372,10712,10713,10715,10718,10721,10724],{},[395,10714,6392],{},[395,10716,10717],{},"研究 \u002F 复杂协作",[395,10719,10720],{},"业务自动化",[395,10722,10723],{},"精确流程控制",[395,10725,10726],{},"应用构建",[21,10728,521],{"id":521},[36,10730,10731,10740,10746,10752,10758,10764,10770],{},[39,10732,10733,10736,10737,10739],{},[42,10734,10735],{},"锁定版本","：0.2 和 0.4 API 不兼容，",[204,10738,2172],{}," 时务必指定版本",[39,10741,10742,10745],{},[42,10743,10744],{},"设计终止条件","：Group Chat 不设终止条件会无限对话，设 max_turns + 终止关键词",[39,10747,10748,10751],{},[42,10749,10750],{},"Token 成本控制","：多 Agent 对话 token 消耗是单 Agent 的 3-5 倍，用 GPT-4 级模型注意费用",[39,10753,10754,10757],{},[42,10755,10756],{},"代码执行器一定要用 Docker","：直接本地执行 Agent 生成的代码有安全风险",[39,10759,10760,10763],{},[42,10761,10762],{},"别指望第一次跑通","：system message 调试 + 工具定义 + 终止条件需要反复迭代",[39,10765,10766,10769],{},[42,10767,10768],{},"错误处理要完善","：LLM 返回异常格式时手动 catch + 重试",[39,10771,10772,10775],{},[42,10773,10774],{},"不要用旧教程","：0.4+ 完全重构，网上大部分 AutoGen 教程是 0.2 版本的",[21,10777,575],{"id":574},[36,10779,10780,10783,10786,10789,10792,10795,10798,10801,10804,10807],{},[39,10781,10782],{},"✅ AI 研究者实验多 Agent 协作模式",[39,10784,10785],{},"✅ 需要代码级精细控制 Agent 行为",[39,10787,10788],{},"✅ 需要 Agent 代码执行 + 自动调试",[39,10790,10791],{},"✅ 人在回路的高风险决策场景",[39,10793,10794],{},"✅ 学术项目 \u002F 论文复现",[39,10796,10797],{},"❌ 快速原型验证（用 CrewAI，API 更简洁）",[39,10799,10800],{},"❌ 非技术用户（用 Dify \u002F Flowise）",[39,10802,10803],{},"❌ 追求 API 稳定性的生产项目（版本变动大）",[39,10805,10806],{},"❌ 需要可视化调试（无 GUI，全靠日志）",[39,10808,10809],{},"❌ 预算敏感场景（多 Agent 对话 token 消耗大）",[21,10811,2552],{"id":2551},[26,10813,10814,10817],{},[42,10815,10816],{},"Q: AutoGen 和 CrewAI 怎么选？","\nA: AutoGen 更底层、更灵活，适合研究和复杂多 Agent 协作实验，但学习成本高。CrewAI API 更简洁直观，角色 + 任务 + 流程的概念更易理解，适合业务自动化场景。研究选 AutoGen，做产品选 CrewAI。",[26,10819,10820,10823,10824,10827,10828,10831,10832,10835],{},[42,10821,10822],{},"Q: AutoGen 0.2 和 0.4 有什么区别？","\nA: 0.4 是完全重构版本——从同步改为异步事件驱动架构，包名从 ",[204,10825,10826],{},"pyautogen"," 改为 ",[204,10829,10830],{},"autogen-agentchat"," + ",[204,10833,10834],{},"autogen-ext","，API 全面更新。性能和扩展性大幅提升但旧代码无法直接迁移。新项目直接用 0.4+。",[26,10837,10838,10841],{},[42,10839,10840],{},"Q: 多 Agent 对话成本高吗？","\nA: 高。多 Agent 每轮对话都消耗 token，一个任务 5-10 轮对话是常态，使用 GPT-4 级模型单个任务可能花费 $0.5-2。建议开发调试用便宜模型（GPT-4o-mini），生产再切高级模型。",[26,10843,10844,10847,10848,10850],{},[42,10845,10846],{},"Q: 可以接入本地模型吗？","\nA: 可以。通过 ",[204,10849,10834],{}," 的 OpenAI 兼容客户端接入 Ollama \u002F vLLM \u002F LM Studio 的本地模型端点。但本地模型能力有限，复杂多 Agent 协作效果可能不如 GPT-4 \u002F Claude。",[21,10852,604],{"id":604},[26,10854,10855,2589,10858,2589,10860],{},[610,10856,8250],{"href":10857},"\u002Fagent\u002Fplatform\u002Fcrewai.html",[610,10859,10367],{"href":10366},[610,10861,10863],{"href":10862},"\u002Fcoding\u002Fapi\u002Flangfuse.html","Langfuse",[21,10865,628],{"id":628},[130,10867,10868],{},[26,10869,2604],{},[36,10871,10872,10878],{},[39,10873,10874],{},[610,10875,2613],{"href":10876,"rel":10877},"https:\u002F\u002Fmicrosoft.github.io\u002Fautogen",[639],[39,10879,10880],{},[610,10881,2620],{"href":10882,"rel":10883},"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen",[639],{"title":202,"searchDepth":250,"depth":250,"links":10885},[10886,10887,10888,10889,10890,10891,10892,10893,10894,10895,10896],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fautogen.webp","AutoGen 真实评测：微软开源的多 Agent 对话框架（MIT 协议），通过代码定义 Agent 角色和协作流程，支持多 Agent 对话、工具调用、代码执行。适合需要精细控制多 Agent 协作逻辑的开发者和研究团队。",[697],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fautogen",[1350,2861],"Free \u002F 开源（MIT）",{"power":257,"ux":224,"price":264,"cn_support":224,"stability":250},{"title":10429,"description":10898},"AutoGen - 微软多 Agent 框架评测与使用 | AIHO","agent\u002Fplatform\u002Fautogen",[10909,10910],{"title":2613,"url":10876},{"title":2620,"url":10882},"tools\u002Fagent\u002Fplatform\u002Fautogen","微软开源多 Agent 对话框架，代码驱动 Agent 协作",[10422,3369,10914,10915,335,745],"framework","microsoft","需要代码级精细控制多 Agent 协作逻辑的研究者和高级开发者首选，微软背书 + 代码执行 + Group Chat 模式强大，但学习曲线陡峭、API 稳定性一般、无 GUI，不适合快速原型或非技术用户。","Asmg5F2Nn2KaD4XJWzqRwFA4s1iK_qUmi34M41yhcNE",{"id":10919,"title":10920,"alternatives":10921,"api_compatible":10923,"body":10924,"category":10404,"chinese_friendly":264,"cover":11712,"description":11713,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":11714,"lastVerified":16,"meta":11715,"models":11716,"navigation":253,"notSuitable":11721,"opensource":680,"path":11725,"pillar":700,"platforms":11726,"priceTable":11727,"pricing":11747,"published":6699,"relatedPlaybooks":16,"relatedReviews":11748,"score":11753,"self_host":680,"seo":11754,"seoTitle":11755,"slug":7320,"sources":11756,"stem":11767,"suitable":11768,"tagline":11774,"tags":11775,"updated":732,"verdict":11781,"website":10941,"__hash__":11782},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md","Coze",[5776,9936,10922],"agent\u002Fplatform\u002Fyuanqi",[],{"type":18,"value":10925,"toc":11696},[10926,10928,10964,10969,10971,10975,10978,10992,11001,11051,11060,11064,11067,11098,11106,11110,11113,11133,11137,11215,11224,11226,11229,11249,11258,11262,11297,11300,11302,11437,11453,11484,11486,11557,11559,11561,11578,11580,11609,11611,11662,11664,11691],[21,10927,24],{"id":23},[5783,10929,10931,10951],{"className":10930},[5786,5787,5788],[26,10932,10933,10935,10936,10950],{},[42,10934,5793],{}," 字节跳动出品的低代码 Agent 平台，",[42,10937,10938,10939,10944,10945],{},"国内版 ",[610,10940,10943],{"href":10941,"rel":10942},"https:\u002F\u002Fwww.coze.cn",[639],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[610,10946,10949],{"href":10947,"rel":10948},"https:\u002F\u002Fwww.coze.com",[639],"coze.com"," 双轨运营。国内版深度集成飞书 \u002F 抖音生态、原生接入豆包；国际版集成 OpenAI \u002F Claude \u002F Gemini。",[26,10952,10953,10954,10957,10958,10963],{},"最大价值是 ",[42,10955,10956],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[610,10959,10962],{"href":10960,"rel":10961},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[639],"博客园 2026-01 选型指南"," 引用的真实案例，\"某电商公司用 Coze 搭建客服机器人，3 天上线，月成本 \u003C 1000 元\"。",[130,10965,10966],{},[26,10967,10968],{},"来源说明：本文基于 coze.cn \u002F coze.com 官方页面、docs.coze.com 文档、第三方选型评测（cnblogs \u002F besthub \u002F aibotgo）综合整理。字节产品迭代很快，价格 \u002F 功能请以最新官方页面为准。",[21,10970,5893],{"id":5893},[5062,10972,10974],{"id":10973},"可视化工作流最大卖点","可视化工作流（最大卖点）",[26,10976,10977],{},"Coze 把 Agent 拆成两层：",[36,10979,10980,10986],{},[39,10981,10982,10985],{},[42,10983,10984],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[39,10987,10988,10991],{},[42,10989,10990],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[26,10993,10994,10995,11000],{},"工作流节点类型（基于 ",[610,10996,10999],{"href":10997,"rel":10998},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[639],"火山引擎社区 2025 实战","）：",[36,11002,11003,11009,11015,11021,11027,11033,11039,11045],{},[39,11004,11005,11008],{},[42,11006,11007],{},"开始 \u002F 结束节点","：输入输出",[39,11010,11011,11014],{},[42,11012,11013],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[39,11016,11017,11020],{},[42,11018,11019],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[39,11022,11023,11026],{},[42,11024,11025],{},"循环节点","：批量处理多条数据",[39,11028,11029,11032],{},[42,11030,11031],{},"条件节点","：分支判断",[39,11034,11035,11038],{},[42,11036,11037],{},"插件节点","：调 Coze 插件市场的工具",[39,11040,11041,11044],{},[42,11042,11043],{},"知识库节点","：RAG 检索",[39,11046,11047,11050],{},[42,11048,11049],{},"HTTP 节点","：调外部 API",[26,11052,11053,11054,11059],{},"典型用例（参考 ",[610,11055,11058],{"href":11056,"rel":11057},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[639],"今日头条 涛哥讲AI 2025-02 教程","）：读飞书多维表格 → 批量调大模型转写为小红书风格 → 写回飞书。整个流程零代码完成。",[5062,11061,11063],{"id":11062},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[26,11065,11066],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[36,11068,11069,11075,11081,11087,11092],{},[39,11070,11071,11074],{},[42,11072,11073],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[39,11076,11077,11080],{},[42,11078,11079],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[39,11082,11083,11086],{},[42,11084,11085],{},"联网搜索","：实时网页检索",[39,11088,11089,11091],{},[42,11090,2397],{},"：在线运行 Python",[39,11093,11094,11097],{},[42,11095,11096],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[26,11099,11100,11105],{},[610,11101,11104],{"href":11102,"rel":11103},"https:\u002F\u002Fkouziai.github.io\u002F",[639],"扣子空间介绍"," 提到：\"插件数量突破 500 个\"——可信度待官方确认，但量级在百级别是确定的。",[5062,11107,11109],{"id":11108},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[26,11111,11112],{},"发布渠道：",[36,11114,11115,11118,11121,11124,11127,11130],{},[39,11116,11117],{},"飞书机器人（一键绑）",[39,11119,11120],{},"抖音 \u002F 头条号",[39,11122,11123],{},"微信小程序 \u002F 公众号（部分需企业认证）",[39,11125,11126],{},"自定义网页嵌入",[39,11128,11129],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[39,11131,11132],{},"Discord（国际版）",[5062,11134,11136],{"id":11135},"国内版-vs-国际版","国内版 vs 国际版",[366,11138,11139,11151],{},[369,11140,11141],{},[372,11142,11143,11145,11148],{},[375,11144,377],{},[375,11146,11147],{},"扣子（coze.cn）",[375,11149,11150],{},"Coze（coze.com）",[390,11152,11153,11164,11173,11182,11193,11204],{},[372,11154,11155,11158,11161],{},[395,11156,11157],{},"主力模型",[395,11159,11160],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[395,11162,11163],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[372,11165,11166,11169,11171],{},[395,11167,11168],{},"飞书 \u002F 抖音 \u002F 微信集成",[395,11170,473],{},[395,11172,426],{},[372,11174,11175,11178,11180],{},[395,11176,11177],{},"Discord \u002F Slack 集成",[395,11179,5544],{},[395,11181,473],{},[372,11183,11184,11187,11190],{},[395,11185,11186],{},"数据存储位置",[395,11188,11189],{},"国内",[395,11191,11192],{},"海外",[372,11194,11195,11198,11201],{},[395,11196,11197],{},"支付",[395,11199,11200],{},"微信 \u002F 支付宝",[395,11202,11203],{},"海外信用卡",[372,11205,11206,11209,11212],{},[395,11207,11208],{},"内容合规",[395,11210,11211],{},"严格审核",[395,11213,11214],{},"宽松",[26,11216,11217,11220,11221,5819],{},[42,11218,11219],{},"实践建议","：国内 toC \u002F toB 用扣子，海外项目 \u002F 接 GPT 用 coze.com。两边账号 \u002F 工作流 ",[42,11222,11223],{},"不互通",[21,11225,6063],{"id":6063},[26,11227,11228],{},"国内版（扣子）：",[36,11230,11231,11237,11243],{},[39,11232,11233,11236],{},[42,11234,11235],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[39,11238,11239,11242],{},[42,11240,11241],{},"专业版","：按调用计费，模型 + 高并发，单 token 价比直连 API 略贵但省事",[39,11244,11245,11248],{},[42,11246,11247],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[26,11250,11251,11252,11257],{},"国际版（coze.com）的定价模式据 ",[610,11253,11256],{"href":11254,"rel":11255},"https:\u002F\u002Fdocs.coze.com\u002F",[639],"官方文档"," 描述：\"按你访问和使用的功能分别计费，每个功能有自己的计费模型\"——目前没有简单的\"$X\u002F月\"档位，类似按 token \u002F 工具调用的 metered billing。",[21,11259,11261],{"id":11260},"上手-10-分钟","上手 10 分钟",[630,11263,11264,11276,11279,11282,11285,11288,11291,11294],{},[39,11265,6156,11266,11270,11271,11275],{},[610,11267,11269],{"href":10941,"rel":11268},[639],"www.coze.cn","（国内）或 ",[610,11272,11274],{"href":10947,"rel":11273},[639],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[39,11277,11278],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[39,11280,11281],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[39,11283,11284],{},"写 Bot 角色 prompt",[39,11286,11287],{},"可选：上传 PDF \u002F 文档建知识库",[39,11289,11290],{},"测试一下对话效果",[39,11292,11293],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[39,11295,11296],{},"拿到调用 URL \u002F 飞书机器人 webhook",[26,11298,11299],{},"进阶：在\"资源库\"创建工作流，拖节点 → 调试 → 在 Bot 里\"添加工作流\"引用。",[21,11301,6239],{"id":6239},[366,11303,11304,11328],{},[369,11305,11306],{},[372,11307,11308,11310,11312,11317,11322],{},[375,11309,377],{},[375,11311,10920],{},[375,11313,11314],{},[610,11315,10153],{"href":11316},"\u002Fagent\u002Fplatform\u002Fdify.html",[375,11318,11319],{},[610,11320,10156],{"href":11321},"\u002Fagent\u002Fplatform\u002Ffastgpt.html",[375,11323,11324],{},[610,11325,11327],{"href":11326},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[390,11329,11330,11342,11356,11371,11384,11396,11410,11424],{},[372,11331,11332,11334,11336,11338,11340],{},[395,11333,414],{},[395,11335,426],{},[395,11337,1100],{},[395,11339,1100],{},[395,11341,426],{},[372,11343,11344,11347,11350,11352,11354],{},[395,11345,11346],{},"私有部署",[395,11348,11349],{},"⚠️ 仅企业版",[395,11351,1100],{},[395,11353,1100],{},[395,11355,6363],{},[372,11357,11358,11360,11363,11366,11368],{},[395,11359,5576],{},[395,11361,11362],{},"★ 最简单",[395,11364,11365],{},"★★★",[395,11367,11365],{},[395,11369,11370],{},"★★",[372,11372,11373,11376,11378,11380,11382],{},[395,11374,11375],{},"工作流编排",[395,11377,5579],{},[395,11379,6315],{},[395,11381,5585],{},[395,11383,5585],{},[372,11385,11386,11388,11390,11392,11394],{},[395,11387,10194],{},[395,11389,5585],{},[395,11391,5579],{},[395,11393,6315],{},[395,11395,5585],{},[372,11397,11398,11401,11403,11405,11407],{},[395,11399,11400],{},"字节生态",[395,11402,6315],{},[395,11404,426],{},[395,11406,426],{},[395,11408,11409],{},"❌（腾讯系）",[372,11411,11412,11415,11418,11420,11422],{},[395,11413,11414],{},"插件市场",[395,11416,11417],{},"★★★★★ 200+",[395,11419,5585],{},[395,11421,5585],{},[395,11423,5585],{},[372,11425,11426,11429,11431,11433,11435],{},[395,11427,11428],{},"中文社区",[395,11430,6315],{},[395,11432,5579],{},[395,11434,5579],{},[395,11436,5579],{},[26,11438,11439,11442,11443,11448,11449,11000],{},[42,11440,11441],{},"怎么选","（综合 ",[610,11444,11447],{"href":11445,"rel":11446},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[639],"BestHub 2025-07"," 和 ",[610,11450,11452],{"href":10960,"rel":11451},[639],"博客园 2026-01",[36,11454,11455,11461,11469,11476],{},[39,11456,11457,11460],{},[42,11458,11459],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[39,11462,11463,11466,11467],{},[42,11464,11465],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[610,11468,10153],{"href":11316},[39,11470,11471,11466,11474],{},[42,11472,11473],{},"核心场景就是企业知识库 QA",[610,11475,10156],{"href":11321},[39,11477,11478,11466,11481],{},[42,11479,11480],{},"QQ \u002F 微信生态 + 腾讯系",[610,11482,11483],{"href":11326},"元器",[21,11485,6457],{"id":6457},[36,11487,11488,11498,11504,11518,11528,11534,11545,11551],{},[39,11489,11490,11493,11494,11497],{},[42,11491,11492],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[42,11495,11496],{},"两套独立系统","，账号、Bot、工作流不互通；想\"国内调通后搬到海外\"需要重新搭",[39,11499,11500,11503],{},[42,11501,11502],{},"专业版按调用计费容易超预算","：上线前一定在测试环境跑量估算月成本，否则爆款 Bot 一夜烧爆账户",[39,11505,11506,11509,11510,11513,11514,2337],{},[42,11507,11508],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[204,11511,11512],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[610,11515,11517],{"href":10997,"rel":11516},[639],"火山引擎 2025 教程",[39,11519,11520,11523,11524,11527],{},[42,11521,11522],{},"工作流读取飞书表格默认 20 条","：要改 ",[204,11525,11526],{},"page_size","，最大 500 条；超过 500 要分页或循环",[39,11529,11530,11533],{},[42,11531,11532],{},"运行超时","：单工作流执行有时间上限，记录条数 > 50 时建议在 Bot 里\"异步\"调用，不要直接走工作流",[39,11535,11536,11539,11540,6035,11542,11544],{},[42,11537,11538],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[610,11541,10153],{"href":11316},[610,11543,10156],{"href":11321}," 自托管",[39,11546,11547,11550],{},[42,11548,11549],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[39,11552,11553,11556],{},[42,11554,11555],{},"审核合规","：国内版对 prompt \u002F 输出有内容审核，金融 \u002F 医疗 \u002F 政治话题可能被拦",[21,11558,575],{"id":574},[26,11560,6528],{},[36,11562,11563,11566,11569,11572,11575],{},[39,11564,11565],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[39,11567,11568],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[39,11570,11571],{},"个人副业（小红书账号批量内容生成等）",[39,11573,11574],{},"中小企业客服 Bot（3 天上线）",[39,11576,11577],{},"想用豆包 \u002F DeepSeek 国产模型的人",[26,11579,6548],{},[36,11581,11582,11585,11588,11593,11600],{},[39,11583,11584],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[39,11586,11587],{},"复杂业务系统深度集成（自由度不够）",[39,11589,11590,11591,2337],{},"反感字节生态（去 ",[610,11592,10153],{"href":11316},[39,11594,11595,11596,6035,11598,2337],{},"希望开源 \u002F 完全自主可控（去 ",[610,11597,10153],{"href":11316},[610,11599,10156],{"href":11321},[39,11601,11602,11603,6035,11605,11608],{},"海外 toB SaaS 产品后端（",[610,11604,10153],{"href":11316},[610,11606,10159],{"href":11607},"\u002Fagent\u002Fplatform\u002Flangflow.html"," 更合适）",[21,11610,604],{"id":604},[36,11612,11613,11627,11641,11656],{},[39,11614,6576,11615,6035,11617,6035,11619,6035,11621,6035,11623],{},[610,11616,10153],{"href":11316},[610,11618,10156],{"href":11321},[610,11620,11483],{"href":11326},[610,11622,10159],{"href":11607},[610,11624,11626],{"href":11625},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[39,11628,6587,11629,6035,11631,6035,11635,6035,11639],{},[610,11630,6591],{"href":6590},[610,11632,11634],{"href":11633},"\u002Fwiki\u002Frag.html","RAG",[610,11636,11638],{"href":11637},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[610,11640,6594],{"href":6590},[39,11642,6598,11643,6035,11647,6035,11650,6035,11652],{},[610,11644,11646],{"href":11645},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[610,11648,9416],{"href":11649},"\u002Fmodels\u002Fdeepseek-v3.html",[610,11651,6610],{"href":6609},[610,11653,11655],{"href":11654},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[39,11657,6613,11658,6035,11660],{},[610,11659,6621],{"href":6620},[610,11661,6617],{"href":6616},[21,11663,628],{"id":628},[36,11665,11666,11672,11678,11685,11688],{},[39,11667,11668,11669],{},"国内版：",[610,11670,10941],{"href":10941,"rel":11671},[639],[39,11673,11674,11675],{},"国际版：",[610,11676,10947],{"href":10947,"rel":11677},[639],[39,11679,11680,11681],{},"官方文档：",[610,11682,11683],{"href":11683,"rel":11684},"https:\u002F\u002Fdocs.coze.com",[639],[39,11686,11687],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[39,11689,11690],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[26,11692,11693,11694,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 功能 \u002F 渠道与最新官方信息不一致，请通过 ",[610,11695,6647],{"href":6646},{"title":202,"searchDepth":250,"depth":250,"links":11697},[11698,11699,11705,11706,11707,11708,11709,11710,11711],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":11700},[11701,11702,11703,11704],{"id":10973,"depth":250,"text":10974},{"id":11062,"depth":250,"text":11063},{"id":11108,"depth":250,"text":11109},{"id":11135,"depth":250,"text":11136},{"id":6063,"depth":224,"text":6063},{"id":11260,"depth":224,"text":11261},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 扣子 2026 真实评测：字节低代码 AI Agent 平台，支持可视化工作流、插件市场、知识库和 Bot 发布。本文对比 Dify、FastGPT、n8n，梳理国内版\u002F国际版差异、价格、适合场景和避坑建议。",[696,697],{},[11717,11718,6675,11719,11720],"doubao-pro","deepseek-v3","gpt-4o (国际版)","claude (国际版)",[11722,11723,11724],"需要私有部署、数据不出网（去 Dify \u002F FastGPT）","需要深度定制（去 LangGraph \u002F n8n）","对字节生态依赖反感","\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze",[704],[11728,11733,11738,11742],{"plan":11729,"price":11730,"limit":11731,"cn_pay":5724,"note":11732},"免费版（扣子）","¥0","免费模型限额 + 基础功能","个人试水 \u002F 1-2 天 MVP",{"plan":11241,"price":11734,"limit":11735,"cn_pay":11736,"note":11737},"按调用计费","高级模型 + 高并发 + 商用授权","✅ 微信\u002F支付宝","上量后切",{"plan":11247,"price":11739,"limit":11740,"cn_pay":1100,"note":11741},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":11743,"price":11744,"cn_pay":11745,"note":11746,"limit":5724},"国际版 (coze.com)","免费起步 + 用量计费","需海外卡","可接 GPT\u002FClaude\u002FGemini","免费档 \u002F 专业版按调用计费 \u002F 企业版议价",[11749,11750,11751,11752],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":257,"ux":264,"price":257,"cn_support":264,"stability":257},{"title":10920,"description":11713},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify",[11757,11759,11761,11763,11765],{"title":11758,"url":10941},"Coze 国内版（扣子）",{"title":11760,"url":10947},"Coze 国际版",{"title":11762,"url":11683},"Coze 官方文档",{"title":11764,"url":10960},"Coze vs Dify vs FastGPT 选型 2026",{"title":11766,"url":11445},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[11769,11770,11771,11772,11773],"想 1 小时做出一个 Bot 的产品 \u002F 运营","需要发布到飞书 \u002F 微信 \u002F 抖音的 Bot","工作流可视化编排（不想写代码）","需要批量调用国内大模型 + 飞书多维表格的工作流","C 端 \u002F 轻量 toB 场景","字节出品的 Agent 搭建平台，国内 \u002F 国际双版本",[10422,11776,11777,11778,11779,11780],"low-code","workflow","bot-marketplace","bytedance","no-code","想最快做出一个能用的 Bot，从 Coze 起步。要私有部署或开源协作，去 Dify \u002F FastGPT。","necnnd5prSTfssbiPIQOZWkZ3WDKHK3nbAKz7ZhN7uc",{"id":11784,"title":8250,"alternatives":11785,"api_compatible":16,"body":11786,"category":10404,"chinese_friendly":224,"cover":12263,"description":12264,"domestic":680,"extension":681,"faq":16,"free":680,"github":12248,"languages":12265,"lastVerified":2637,"meta":12266,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":12267,"pillar":700,"platforms":12268,"priceTable":16,"pricing":12269,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":12270,"self_host":680,"seo":12271,"seoTitle":12272,"slug":10431,"sources":12273,"stem":12276,"suitable":16,"tagline":12277,"tags":12278,"updated":2637,"verdict":12279,"website":12242,"__hash__":12280},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcrewai.md",[7922,10907,7923],{"type":18,"value":11787,"toc":12250},[11788,11790,11793,11796,11798,11853,11855,11898,11902,11904,11910,11933,11937,11960,11962,11998,12000,12112,12114,12161,12163,12194,12196,12202,12208,12213,12219,12221,12230,12232,12236],[21,11789,24],{"id":23},[26,11791,11792],{},"CrewAI 是开源多 Agent 协作框架（MIT 协议），用 Python 代码定义 Agent 角色（Role）、目标（Goal）、工具（Tools），组合成 Crew 执行任务序列。核心概念清晰——Agent 负责做事、Task 定义做什么、Crew 编排怎么协作。支持顺序 \u002F 层级 \u002F 自定义流程，内置 50+ 工具集成。CrewAI Enterprise 提供云端托管 + 可视化监控。",[26,11794,11795],{},"适合：需要多 Agent 自动化工作流的开发者、Python 技术栈团队、快速原型验证多 Agent 方案。不适合：非技术用户（用 Dify）、需要极复杂条件分支流程（用 LangGraph）、需要 GUI 可视化编排（用 Flowise）。",[21,11797,34],{"id":34},[36,11799,11800,11806,11812,11818,11824,11830,11836,11841,11847],{},[39,11801,11802,11805],{},[42,11803,11804],{},"角色定义","：Agent = Role + Goal + Backstory + Tools，角色人设驱动行为",[39,11807,11808,11811],{},[42,11809,11810],{},"任务编排","：Task 定义具体任务 + 期望输出 + 分配 Agent",[39,11813,11814,11817],{},[42,11815,11816],{},"Crew 编排","：顺序执行 \u002F 层级管理 \u002F 自定义流程三种模式",[39,11819,11820,11823],{},[42,11821,11822],{},"工具集成","：内置 SerperDev \u002F Firecrawl \u002F FileRead \u002F WebScraper 等 50+ 工具",[39,11825,11826,11829],{},[42,11827,11828],{},"流程控制","：支持任务间依赖、条件路由、输出传递",[39,11831,11832,11835],{},[42,11833,11834],{},"记忆系统","：Short-term \u002F Long-term \u002F Entity Memory，Agent 可跨任务记忆",[39,11837,11838,11840],{},[42,11839,2209],{},"：OpenAI \u002F Claude \u002F Gemini \u002F Ollama \u002F 任意 LiteLLM 兼容模型",[39,11842,11843,11846],{},[42,11844,11845],{},"CrewAI Enterprise","：云端托管 + 可视化 Crew 监控 + 团队协作",[39,11848,11849,11852],{},[42,11850,11851],{},"输出结构化","：支持 Pydantic 模型定义输出格式",[21,11854,108],{"id":108},[366,11856,11857,11867],{},[369,11858,11859],{},[372,11860,11861,11863,11865],{},[375,11862,9528],{},[375,11864,108],{},[375,11866,9533],{},[390,11868,11869,11878,11888],{},[372,11870,11871,11873,11875],{},[395,11872,5722],{},[395,11874,707],{},[395,11876,11877],{},"完整框架，MIT 协议，本地运行",[372,11879,11880,11882,11885],{},[395,11881,11845],{},[395,11883,11884],{},"$49\u002F月起",[395,11886,11887],{},"云端托管 + 可视化监控 + API",[372,11889,11890,11893,11895],{},[395,11891,11892],{},"Enterprise+",[395,11894,10045],{},[395,11896,11897],{},"SSO \u002F 私有部署 \u002F 专属支持",[130,11899,11900],{},[26,11901,9569],{},[21,11903,2241],{"id":2240},[130,11905,11906],{},[26,11907,2246,11908],{},[42,11909,143],{},[36,11911,11912,11915,11918,11921,11924,11927,11930],{},[39,11913,11914],{},"API 设计非常直观，Agent + Task + Crew 三件套 10 分钟上手",[39,11916,11917],{},"角色人设（Backstory）确实影响 Agent 行为，写好 backstory 效果提升明显",[39,11919,11920],{},"层级模式（hierarchical）下 Manager Agent 自动分配任务，适合复杂场景",[39,11922,11923],{},"内置工具丰富，SerperDev 搜索 + Firecrawl 爬虫开箱即用",[39,11925,11926],{},"Memory 系统让 Agent 跨任务保持上下文，长流程不丢信息",[39,11928,11929],{},"Pydantic 结构化输出对后续处理非常友好",[39,11931,11932],{},"CrewAI Enterprise 的可视化监控能看到每个 Agent 的思考过程",[26,11934,11935],{},[42,11936,168],{},[36,11938,11939,11942,11945,11948,11951,11954,11957],{},[39,11940,11941],{},"Agent 偶尔\"不听话\"——偏离角色设定、重复执行、跳过任务",[39,11943,11944],{},"复杂流程的调试困难，错误信息不够清晰",[39,11946,11947],{},"Token 消耗不小——多 Agent + 多轮对话 + Memory 存储",[39,11949,11950],{},"开源版无 GUI，全靠日志调试，Enterprise 版才有可视化",[39,11952,11953],{},"版本迭代快，API 偶有 breaking changes",[39,11955,11956],{},"层级模式的 Manager Agent 判断不稳定，有时分配不合理",[39,11958,11959],{},"中文 system prompt 效果不如英文，建议角色定义用英文",[21,11961,936],{"id":936},[630,11963,11964,11970,11975,11980,11986,11992],{},[39,11965,11966,11969],{},[204,11967,11968],{},"pip install crewai crewai-tools","（建议用 uv 管理虚拟环境）",[39,11971,10577,11972,11974],{},[204,11973,10580],{}," 或在代码中指定 model",[39,11976,10584,11977],{},[204,11978,11979],{},"Agent(role=\"研究员\", goal=\"搜集信息\", tools=[search_tool])",[39,11981,11982,11983],{},"定义 Task：",[204,11984,11985],{},"Task(description=\"调研XX趋势\", agent=researcher, expected_output=\"报告\")",[39,11987,11988,11989],{},"组建 Crew：",[204,11990,11991],{},"Crew(agents=[researcher, writer], tasks=[task1, task2], process=Process.sequential)",[39,11993,2325,11994,11997],{},[204,11995,11996],{},"result = crew.kickoff()","，查看结果 + 日志",[21,11999,364],{"id":364},[366,12001,12002,12016],{},[369,12003,12004],{},[372,12005,12006,12008,12010,12012,12014],{},[375,12007,377],{},[375,12009,8250],{},[375,12011,10429],{},[375,12013,10619],{},[375,12015,10153],{},[390,12017,12018,12030,12047,12059,12071,12085,12098],{},[372,12019,12020,12022,12024,12026,12028],{},[395,12021,5576],{},[395,12023,10650],{},[395,12025,2461],{},[395,12027,2461],{},[395,12029,10169],{},[372,12031,12032,12035,12038,12041,12044],{},[395,12033,12034],{},"API 设计",[395,12036,12037],{},"优雅直观",[395,12039,12040],{},"底层灵活",[395,12042,12043],{},"图模型",[395,12045,12046],{},"可视化",[372,12048,12049,12051,12053,12055,12057],{},[395,12050,10655],{},[395,12052,10661],{},[395,12054,10658],{},[395,12056,10664],{},[395,12058,10667],{},[372,12060,12061,12063,12065,12067,12069],{},[395,12062,2397],{},[395,12064,10677],{},[395,12066,10674],{},[395,12068,10677],{},[395,12070,10682],{},[372,12072,12073,12075,12078,12081,12083],{},[395,12074,11834],{},[395,12076,12077],{},"✅ 内置",[395,12079,12080],{},"有限",[395,12082,7661],{},[395,12084,1100],{},[372,12086,12087,12089,12092,12094,12096],{},[395,12088,6975],{},[395,12090,12091],{},"Enterprise 版",[395,12093,426],{},[395,12095,426],{},[395,12097,1100],{},[372,12099,12100,12102,12104,12107,12110],{},[395,12101,6392],{},[395,12103,10720],{},[395,12105,12106],{},"研究",[395,12108,12109],{},"精确流程",[395,12111,10726],{},[21,12113,521],{"id":521},[36,12115,12116,12122,12128,12134,12140,12146,12155],{},[39,12117,12118,12121],{},[42,12119,12120],{},"Backstory 认真写","：角色人设直接影响 Agent 行为质量，模糊描述 = 模糊行为",[39,12123,12124,12127],{},[42,12125,12126],{},"expected_output 必填","：不定义预期输出，Agent 容易跑偏",[39,12129,12130,12133],{},[42,12131,12132],{},"控制 Agent 数量","：3-5 个 Agent 最佳，超过 8 个协调成本急升",[39,12135,12136,12139],{},[42,12137,12138],{},"Memory 按需开启","：Long-term Memory 会累积 token 消耗，简单任务关掉",[39,12141,12142,12145],{},[42,12143,12144],{},"调试用 verbose=True","：开启详细日志看 Agent 思考过程，定位问题",[39,12147,12148,5072,12151,12154],{},[42,12149,12150],{},"版本锁定",[204,12152,12153],{},"pip install crewai==x.x.x","，迭代快别用 latest",[39,12156,12157,12160],{},[42,12158,12159],{},"层级模式慎用","：Manager Agent 不稳定，简单场景用 sequential 更可靠",[21,12162,575],{"id":574},[36,12164,12165,12168,12171,12174,12177,12180,12182,12185,12188,12191],{},[39,12166,12167],{},"✅ Python 开发者快速构建多 Agent 工作流",[39,12169,12170],{},"✅ 内容生产流水线（调研 → 写作 → 审核）",[39,12172,12173],{},"✅ 自动化研究 \u002F 数据收集 \u002F 报告生成",[39,12175,12176],{},"✅ 需要角色分工的协作场景",[39,12178,12179],{},"✅ 快速原型验证多 Agent 方案",[39,12181,10800],{},[39,12183,12184],{},"❌ 需要极复杂条件分支流程（用 LangGraph）",[39,12186,12187],{},"❌ 需要精细控制 Agent 对话轮次（用 AutoGen）",[39,12189,12190],{},"❌ 需要免费 GUI 可视化监控（开源版无 GUI）",[39,12192,12193],{},"❌ 预算敏感的高频调用场景（多 Agent token 消耗大）",[21,12195,2552],{"id":2551},[26,12197,12198,12201],{},[42,12199,12200],{},"Q: CrewAI 和 AutoGen 怎么选？","\nA: CrewAI 上手更快，Agent + Task + Crew 概念直观，适合业务自动化和快速原型。AutoGen 更底层灵活，Group Chat + 代码执行 + 事件驱动适合研究和复杂协作。做产品选 CrewAI，做研究选 AutoGen。",[26,12203,12204,12207],{},[42,12205,12206],{},"Q: 开源版和 Enterprise 版差别大吗？","\nA: 开源版框架功能完整，能跑所有 Agent \u002F Task \u002F Crew。Enterprise 版主要多了云端托管（免运维）、可视化监控（看 Agent 思考过程）、团队协作和 API 服务。如果只是本地跑 Agent 工作流，开源版够用。",[26,12209,12210,12212],{},[42,12211,10846],{},"\nA: 可以。CrewAI 基于 LiteLLM，支持 Ollama \u002F vLLM \u002F LM Studio 等本地模型。但本地模型能力有限，角色扮演和工具调用效果可能不如 GPT-4 \u002F Claude。建议开发用便宜模型，生产用高级模型。",[26,12214,12215,12218],{},[42,12216,12217],{},"Q: Agent 总是跑偏怎么办？","\nA: 三步排查：1）检查 Backstory 是否足够具体；2）确认 expected_output 定义清晰；3）开启 verbose=True 看思考过程定位偏移点。复杂任务拆成更小的 Task，每个 Task 目标单一明确。",[21,12220,604],{"id":604},[26,12222,12223,2589,12226,2589,12228],{},[610,12224,10429],{"href":12225},"\u002Fagent\u002Fplatform\u002Fautogen.html",[610,12227,10367],{"href":10366},[610,12229,10863],{"href":10862},[21,12231,628],{"id":628},[130,12233,12234],{},[26,12235,2604],{},[36,12237,12238,12244],{},[39,12239,12240],{},[610,12241,2613],{"href":12242,"rel":12243},"https:\u002F\u002Fcrewai.com",[639],[39,12245,12246],{},[610,12247,2620],{"href":12248,"rel":12249},"https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI",[639],{"title":202,"searchDepth":250,"depth":250,"links":12251},[12252,12253,12254,12255,12256,12257,12258,12259,12260,12261,12262],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcrewai.webp","CrewAI 真实评测：开源多 Agent 协作框架（MIT 协议），用 Python 代码定义 Agent 角色、任务和协作流程。支持角色分工、任务编排、工具集成，适合需要构建多 Agent 自动化工作流的开发者和企业团队。",[697],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fcrewai",[1350,2861],"Free \u002F 开源（MIT）\u002F Enterprise",{"power":257,"ux":250,"price":264,"cn_support":224,"stability":250},{"title":8250,"description":12264},"CrewAI - 多 Agent 协作框架评测与使用 | AIHO",[12274,12275],{"title":2613,"url":12242},{"title":2620,"url":12248},"tools\u002Fagent\u002Fplatform\u002Fcrewai","多 Agent 协作框架，Python 代码定义角色和任务",[10422,3369,10914,335,745],"需要用 Python 快速构建多 Agent 自动化工作流的开发者首选，角色 + 任务 + Crew 的概念直观易学、API 设计优雅，但 Agent 对话可控性和稳定性不如 AutoGen，复杂流程编排需配合 LangGraph。","_O4h6a46IiWmQgKW4ommaTGIrJPA8tvgaA2kCNf0aa0",{"id":12282,"title":10153,"alternatives":12283,"api_compatible":16,"body":12284,"category":10404,"chinese_friendly":257,"cover":13233,"description":13234,"domestic":680,"extension":681,"faq":16,"free":680,"github":12561,"languages":13235,"lastVerified":16,"meta":13237,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":13238,"pillar":700,"platforms":13239,"priceTable":13240,"pricing":13256,"published":6699,"relatedPlaybooks":16,"relatedReviews":13257,"score":13258,"self_host":253,"seo":13259,"seoTitle":13260,"slug":5776,"sources":13261,"stem":13273,"suitable":16,"tagline":13274,"tags":13275,"updated":732,"verdict":13277,"website":13180,"__hash__":13278},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[7320,9936,7923,7922],{"type":18,"value":12285,"toc":13211},[12286,12288,12305,12310,12312,12316,12319,12387,12390,12394,12397,12411,12427,12431,12434,12445,12448,12456,12467,12471,12474,12476,12480,12489,12546,12553,12557,12565,12612,12615,12635,12639,12642,12699,12705,12707,12791,12793,12822,12824,12950,12962,12997,12999,13071,13073,13075,13095,13097,13126,13128,13172,13174,13204,13209],[21,12287,24],{"id":23},[5783,12289,12291,12296],{"className":12290},[5786,5787,5788],[26,12292,12293,12295],{},[42,12294,5793],{}," Dify 是开源 LLMOps 平台的事实标准。GitHub 13 万 star、累计 100 万+ 生产 app（据 chatforest.com 2026 评测引用 Dify 官方数据），把\"可视化工作流编排 + RAG 知识库 + Agent + MCP 协议\"打包成一个 Docker Compose 能跑起来的东西。",[26,12297,10953,12298,12301,12302,12304],{},[42,12299,12300],{},"完全开源 + 模型不挑食","——同一个工作流里同时调 OpenAI、Anthropic、Ollama 本地、DeepSeek、Qwen 都行。代价是部署比 ",[610,12303,10920],{"href":7816}," 折腾，新手得读 1-2 小时文档。",[130,12306,12307],{},[26,12308,12309],{},"来源说明：本文基于 docs.dify.ai 官方文档、langgenius\u002Fdify GitHub 仓库、第三方评测（besthub.dev \u002F chatforest.com \u002F joshuaopolko.com \u002F zhihu 知名专栏）综合归纳。版本号会变，部署要求请以官方最新文档为准。",[21,12311,5893],{"id":5893},[5062,12313,12315],{"id":12314},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[26,12317,12318],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[366,12320,12321,12333],{},[369,12322,12323],{},[372,12324,12325,12328,12330],{},[375,12326,12327],{},"类型",[375,12329,6392],{},[375,12331,12332],{},"编排范式",[390,12334,12335,12348,12361,12374],{},[372,12336,12337,12342,12345],{},[395,12338,12339],{},[42,12340,12341],{},"Chatbot",[395,12343,12344],{},"简单对话机器人",[395,12346,12347],{},"prompt + tools",[372,12349,12350,12355,12358],{},[395,12351,12352],{},[42,12353,12354],{},"Agent",[395,12356,12357],{},"自主多步任务",[395,12359,12360],{},"ReAct \u002F Function Calling",[372,12362,12363,12368,12371],{},[395,12364,12365],{},[42,12366,12367],{},"Chatflow",[395,12369,12370],{},"对话型工作流（多轮 + 分支）",[395,12372,12373],{},"节点 DAG，带聊天上下文",[372,12375,12376,12381,12384],{},[395,12377,12378],{},[42,12379,12380],{},"Workflow",[395,12382,12383],{},"单次输入→输出（API 模式）",[395,12385,12386],{},"节点 DAG，无对话状态",[26,12388,12389],{},"节点类型覆盖：LLM、知识检索、HTTP 请求、代码执行（Python \u002F JS）、条件分支、迭代、变量聚合、参数提取、问题分类——满足\"用拖拽实现可观测的 LLM pipeline\"。",[5062,12391,12393],{"id":12392},"rag-知识库","RAG 知识库",[26,12395,12396],{},"内置完整 RAG 链路：",[630,12398,12399,12402,12405,12408],{},[39,12400,12401],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[39,12403,12404],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[39,12406,12407],{},"混合检索（向量 + 全文 + 重排）",[39,12409,12410],{},"引用溯源（回答末尾自动附原文片段）",[26,12412,12413,12414,12419,12420,12423,12424,12426],{},"注意：根据 ",[610,12415,12418],{"href":12416,"rel":12417},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[639],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[42,12421,12422],{},"社区版默认是基础语义检索","，企业版才解锁多路召回 + 重排。RAG 极致精度场景仍推荐 ",[610,12425,10156],{"href":11321},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[5062,12428,12430],{"id":12429},"模型生态40-提供商","模型生态：40+ 提供商",[26,12432,12433],{},"Dify 通过插件市场接入主流模型——OpenAI、Anthropic、Google Gemini、Azure、AWS Bedrock、Cohere、xAI、DeepSeek、Qwen、智谱、文心、豆包、月之暗面、Ollama、LM Studio、Replicate、Together AI、OpenRouter……几乎你能数出来的 LLM 提供商都在。",[26,12435,12436,12437,12439,12440,12444],{},"国产模型原生支持（不像 ",[610,12438,10156],{"href":11321}," 需要 ",[610,12441,12443],{"href":12442},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[5062,12446,7961],{"id":12447},"mcp-协议支持",[26,12449,12450,12451,12455],{},"Dify 较早接入了 ",[610,12452,12454],{"href":12453},"\u002Fwiki\u002Fmcp.html","MCP（Model Context Protocol）","，工作流可以直接调 MCP Server 暴露的 tools。意味着你可以让 Dify 工作流：",[36,12457,12458,12461,12464],{},[39,12459,12460],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[39,12462,12463],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[39,12465,12466],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[5062,12468,12470],{"id":12469},"api-first","API-first",[26,12472,12473],{},"每个 app 自动暴露 REST API，参数和返回结构自动生成 OpenAPI Schema。集成到自家产品里不需要写包装代码，给前端 \u002F 微信小程序 \u002F 飞书机器人调用都方便。",[21,12475,6063],{"id":6063},[5062,12477,12479],{"id":12478},"云版difyai","云版（dify.ai）",[26,12481,12482,12483,12488],{},"根据 ",[610,12484,12487],{"href":12485,"rel":12486},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[639],"tooljunction.io 2026 评测"," 引用的官方定价：",[366,12490,12491,12503],{},[369,12492,12493],{},[372,12494,12495,12498,12500],{},[375,12496,12497],{},"套餐",[375,12499,108],{},[375,12501,12502],{},"主要限制",[390,12504,12505,12516,12527,12537],{},[372,12506,12507,12510,12513],{},[395,12508,12509],{},"Sandbox",[395,12511,12512],{},"免费",[395,12514,12515],{},"200 次模型调用，1 app，5MB 知识库",[372,12517,12518,12521,12524],{},[395,12519,12520],{},"Professional",[395,12522,12523],{},"$59\u002F月起",[395,12525,12526],{},"5000 调用\u002F月，多 app，50MB 知识库",[372,12528,12529,12531,12534],{},[395,12530,867],{},[395,12532,12533],{},"$159\u002F月起",[395,12535,12536],{},"团队协作、SSO",[372,12538,12539,12541,12543],{},[395,12540,833],{},[395,12542,10045],{},[395,12544,12545],{},"定制 SLA、私有云",[26,12547,12548,12549,12552],{},"注意：云版价格只是 Dify 平台费，",[42,12550,12551],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[5062,12554,12556],{"id":12555},"自托管推荐","自托管（推荐）",[26,12558,12559,12564],{},[610,12560,12563],{"href":12561,"rel":12562},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[639],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[197,12566,12568],{"className":199,"code":12567,"language":201,"meta":202,"style":202},"git clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[204,12569,12570,12579,12586,12594,12607],{"__ignoreMap":202},[207,12571,12572,12574,12576],{"class":209,"line":210},[207,12573,214],{"class":213},[207,12575,218],{"class":217},[207,12577,12578],{"class":217}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[207,12580,12581,12583],{"class":209,"line":224},[207,12582,228],{"class":227},[207,12584,12585],{"class":217}," dify\u002Fdocker\n",[207,12587,12588,12590,12592],{"class":209,"line":250},[207,12589,5351],{"class":213},[207,12591,5354],{"class":217},[207,12593,5357],{"class":217},[207,12595,12596,12598,12601,12604],{"class":209,"line":257},[207,12597,2861],{"class":213},[207,12599,12600],{"class":217}," compose",[207,12602,12603],{"class":217}," up",[207,12605,12606],{"class":227}," -d\n",[207,12608,12609],{"class":209,"line":264},[207,12610,12611],{"class":260},"# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[26,12613,12614],{},"硬件门槛（社区共识，非官方硬性要求）：",[36,12616,12617,12623,12629],{},[39,12618,12619,12622],{},[42,12620,12621],{},"最低","：2 核 4G，纯外接 API 模式",[39,12624,12625,12628],{},[42,12626,12627],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[39,12630,12631,12634],{},[42,12632,12633],{},"企业","：8 核 16G+，单机日活上千",[5062,12636,12638],{"id":12637},"真实-tco","真实 TCO",[26,12640,12641],{},"按一家中小团队 3 年场景估算（基于上面引用的多份评测交叉对比）：",[366,12643,12644,12656],{},[369,12645,12646],{},[372,12647,12648,12651,12654],{},[375,12649,12650],{},"成本项",[375,12652,12653],{},"云版 Professional",[375,12655,7433],{},[390,12657,12658,12668,12677,12688],{},[372,12659,12660,12663,12666],{},[395,12661,12662],{},"平台费",[395,12664,12665],{},"~$2,100（3 年）",[395,12667,707],{},[372,12669,12670,12672,12674],{},[395,12671,5485],{},[395,12673,707],{},[395,12675,12676],{},"~$50\u002F月 × 36 = $1,800",[372,12678,12679,12682,12685],{},[395,12680,12681],{},"模型 API",[395,12683,12684],{},"与下同",[395,12686,12687],{},"与上同",[372,12689,12690,12693,12696],{},[395,12691,12692],{},"运维人力",[395,12694,12695],{},"0",[395,12697,12698],{},"约 0.2 人月",[26,12700,12701,12704],{},[42,12702,12703],{},"结论","：日活 \u003C 100 用云版省心；> 500 或数据敏感场景自托管 ROI 更好。",[21,12706,11261],{"id":11260},[197,12708,12710],{"className":199,"code":12709,"language":201,"meta":202,"style":202},"# 1. 自托管（社区版）\ngit clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n\n# 2. 浏览器打开 http:\u002F\u002Flocalhost\n#    首次会让你创建 admin 账号\n\n# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n\n# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[204,12711,12712,12717,12725,12731,12739,12749,12753,12758,12763,12767,12772,12776,12781,12786],{"__ignoreMap":202},[207,12713,12714],{"class":209,"line":210},[207,12715,12716],{"class":260},"# 1. 自托管（社区版）\n",[207,12718,12719,12721,12723],{"class":209,"line":224},[207,12720,214],{"class":213},[207,12722,218],{"class":217},[207,12724,12578],{"class":217},[207,12726,12727,12729],{"class":209,"line":250},[207,12728,228],{"class":227},[207,12730,12585],{"class":217},[207,12732,12733,12735,12737],{"class":209,"line":257},[207,12734,5351],{"class":213},[207,12736,5354],{"class":217},[207,12738,5357],{"class":217},[207,12740,12741,12743,12745,12747],{"class":209,"line":264},[207,12742,2861],{"class":213},[207,12744,12600],{"class":217},[207,12746,12603],{"class":217},[207,12748,12606],{"class":227},[207,12750,12751],{"class":209,"line":276},[207,12752,254],{"emptyLinePlaceholder":253},[207,12754,12755],{"class":209,"line":281},[207,12756,12757],{"class":260},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[207,12759,12760],{"class":209,"line":287},[207,12761,12762],{"class":260},"#    首次会让你创建 admin 账号\n",[207,12764,12765],{"class":209,"line":321},[207,12766,254],{"emptyLinePlaceholder":253},[207,12768,12769],{"class":209,"line":326},[207,12770,12771],{"class":260},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[207,12773,12774],{"class":209,"line":332},[207,12775,254],{"emptyLinePlaceholder":253},[207,12777,12778],{"class":209,"line":344},[207,12779,12780],{"class":260},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[207,12782,12783],{"class":209,"line":355},[207,12784,12785],{"class":260},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[207,12787,12788],{"class":209,"line":1669},[207,12789,12790],{"class":260},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[21,12792,6197],{"id":6197},[630,12794,12795,12801,12807,12813],{},[39,12796,12797,12800],{},[42,12798,12799],{},"云版 dify.ai 直连国内访问稳定但需要付款","——支持国际信用卡 \u002F Stripe",[39,12802,12803,12806],{},[42,12804,12805],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[39,12808,12809,12812],{},[42,12810,12811],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[39,12814,12815,12818,12819,12821],{},[42,12816,12817],{},"数据合规","：完全自托管时，数据零外泄；某些金融 \u002F 政府客户因此从 ",[610,12820,10920],{"href":7816}," 迁到 Dify",[21,12823,6239],{"id":6239},[366,12825,12826,12846],{},[369,12827,12828],{},[372,12829,12830,12832,12834,12838,12842],{},[375,12831,377],{},[375,12833,10153],{},[375,12835,12836],{},[610,12837,10920],{"href":7816},[375,12839,12840],{},[610,12841,10156],{"href":11321},[375,12843,12844],{},[610,12845,11626],{"href":11625},[390,12847,12848,12861,12873,12886,12898,12910,12924,12936],{},[372,12849,12850,12852,12854,12856,12858],{},[395,12851,414],{},[395,12853,1100],{},[395,12855,426],{},[395,12857,1100],{},[395,12859,12860],{},"✅（fair-code）",[372,12862,12863,12865,12867,12869,12871],{},[395,12864,11346],{},[395,12866,1100],{},[395,12868,426],{},[395,12870,1100],{},[395,12872,1100],{},[372,12874,12875,12877,12879,12882,12884],{},[395,12876,5576],{},[395,12878,5585],{},[395,12880,12881],{},"★★☆☆☆ 最简单",[395,12883,5585],{},[395,12885,5579],{},[372,12887,12888,12890,12892,12894,12896],{},[395,12889,11375],{},[395,12891,6315],{},[395,12893,5579],{},[395,12895,5585],{},[395,12897,6315],{},[372,12899,12900,12902,12904,12906,12908],{},[395,12901,10194],{},[395,12903,5579],{},[395,12905,5585],{},[395,12907,6315],{},[395,12909,5593],{},[372,12911,12912,12915,12917,12919,12922],{},[395,12913,12914],{},"模型生态",[395,12916,6315],{},[395,12918,5579],{},[395,12920,12921],{},"★★★☆☆（OneAPI 中转）",[395,12923,5579],{},[372,12925,12926,12928,12930,12932,12934],{},[395,12927,3768],{},[395,12929,5579],{},[395,12931,6315],{},[395,12933,5579],{},[395,12935,5585],{},[372,12937,12938,12941,12943,12946,12948],{},[395,12939,12940],{},"字节生态绑定",[395,12942,426],{},[395,12944,12945],{},"✅（飞书\u002F抖音深度集成）",[395,12947,426],{},[395,12949,426],{},[26,12951,12952,12954,12955,11448,12958,12961],{},[42,12953,11441],{},"（基于 ",[610,12956,11447],{"href":11445,"rel":12957},[639],[610,12959,11452],{"href":10960,"rel":12960},[639]," 两份选型指南综合）：",[36,12963,12964,12970,12977,12983,12990],{},[39,12965,12966,12969],{},[42,12967,12968],{},"数据必须不出内网 + 工作流复杂"," → Dify",[39,12971,12972,11466,12975],{},[42,12973,12974],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[610,12976,10920],{"href":7816},[39,12978,12979,11466,12981],{},[42,12980,11473],{},[610,12982,10156],{"href":11321},[39,12984,12985,11466,12988],{},[42,12986,12987],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[610,12989,11626],{"href":11625},[39,12991,12992,11466,12995],{},[42,12993,12994],{},"要画图式表达 LangChain pipeline",[610,12996,10159],{"href":11607},[21,12998,6457],{"id":6457},[36,13000,13001,13007,13023,13034,13047,13053,13059,13065],{},[39,13002,13003,13006],{},[42,13004,13005],{},"社区版与企业版差距比想象大","：多路召回 \u002F 重排序 \u002F 单点登录 \u002F 审计日志都在企业版。社区版做生产前心里要有数。",[39,13008,13009,5072,13015,13018,13019,13022],{},[42,13010,13011,13014],{},[204,13012,13013],{},".env"," 文件改完忘 restart",[204,13016,13017],{},"docker compose down && up -d","，不是 ",[204,13020,13021],{},"restart","——后者不重新加载 env。",[39,13024,13025,5072,13028,13033],{},[42,13026,13027],{},"大版本升级会破坏数据库 schema",[610,13029,13032],{"href":13030,"rel":13031},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[639],"官方升级文档"," 有详细 migration 步骤，跨大版本（如 0.x → 1.x）务必先备份 PostgreSQL 卷。生产环境强烈建议跑 staging 完整验证后再升。",[39,13035,13036,13039,13040,13042,13043,13046],{},[42,13037,13038],{},"RAG 文件大小社区版默认 15MB","：根据上述知乎实测，超过会失败。改 ",[204,13041,13013],{}," 的 ",[204,13044,13045],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[39,13048,13049,13052],{},[42,13050,13051],{},"代码节点的 Sandbox 性能差","：内置代码执行节点跑在隔离容器里启动慢、内存小。生产高频用建议改成 HTTP 节点调外部服务。",[39,13054,13055,13058],{},[42,13056,13057],{},"工作流\"迭代节点\"循环上限","：默认 10 次，复杂 ReAct agent 容易撞天花板，需要在节点设置里调高。",[39,13060,13061,13064],{},[42,13062,13063],{},"Dify Plugin 系统是新东西","：1.0 后引入的 Plugin 体系替代了原来的 Tools\u002FModels 配置方式，老教程可能已过时——以最新官方文档为准。",[39,13066,13067,13070],{},[42,13068,13069],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[21,13072,575],{"id":574},[26,13074,6528],{},[36,13076,13077,13080,13083,13086,13089,13092],{},[39,13078,13079],{},"中大型企业 LLM 中台建设",[39,13081,13082],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[39,13084,13085],{},"想做\"AI 工作流即产品\"的开发团队",[39,13087,13088],{},"同时需要 RAG + Agent + Workflow 三件套",[39,13090,13091],{},"想用国产模型 + 国际模型混合编排",[39,13093,13094],{},"已经接受 Docker + 一定运维投入",[26,13096,6548],{},[36,13098,13099,13105,13111,13114,13120],{},[39,13100,13101,13102,13104],{},"纯个人玩家做对话机器人（",[610,13103,10920],{"href":7816}," 更快）",[39,13106,13107,13108,13110],{},"只想做企业知识库 QA（",[610,13109,10156],{"href":11321}," RAG 更专）",[39,13112,13113],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[39,13115,13116,13117,13119],{},"需要深度对接字节飞书 \u002F 抖音（",[610,13118,10920],{"href":7816}," 原生）",[39,13121,13122,13123,13125],{},"工作流核心是连接 100+ SaaS（",[610,13124,11626],{"href":11625}," 节点更全）",[21,13127,604],{"id":604},[36,13129,13130,13140,13151,13164],{},[39,13131,6576,13132,6035,13134,6035,13136,6035,13138],{},[610,13133,10920],{"href":7816},[610,13135,10156],{"href":11321},[610,13137,11626],{"href":11625},[610,13139,10159],{"href":11607},[39,13141,13142,13143,6035,13145,6035,13147,6035,13149],{},"概念基础：",[610,13144,6591],{"href":6590},[610,13146,11634],{"href":11633},[610,13148,1850],{"href":12453},[610,13150,11638],{"href":11637},[39,13152,13153,13154,6035,13158,6035,13160,6035,13162],{},"模型选型：",[610,13155,13157],{"href":13156},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[610,13159,6602],{"href":6601},[610,13161,9416],{"href":11649},[610,13163,11655],{"href":11654},[39,13165,6613,13166,6035,13170],{},[610,13167,13169],{"href":13168},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[610,13171,6617],{"href":6616},[21,13173,628],{"id":628},[36,13175,13176,13182,13188,13194,13201],{},[39,13177,6628,13178],{},[610,13179,13180],{"href":13180,"rel":13181},"https:\u002F\u002Fdify.ai",[639],[39,13183,13184,13185],{},"中文文档：",[610,13186,13030],{"href":13030,"rel":13187},[639],[39,13189,13190,13191],{},"GitHub：",[610,13192,12561],{"href":12561,"rel":13193},[639],[39,13195,13196,13197],{},"官方定价：",[610,13198,13199],{"href":13199,"rel":13200},"https:\u002F\u002Fdify.ai\u002Fpricing",[639],[39,13202,13203],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[26,13205,13206,13207,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现版本号 \u002F 价格 \u002F 功能与最新官方信息不一致，请通过 ",[610,13208,6647],{"href":6646},[662,13210,5680],{},{"title":202,"searchDepth":250,"depth":250,"links":13212},[13213,13214,13221,13226,13227,13228,13229,13230,13231,13232],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":13215},[13216,13217,13218,13219,13220],{"id":12314,"depth":250,"text":12315},{"id":12392,"depth":250,"text":12393},{"id":12429,"depth":250,"text":12430},{"id":12447,"depth":250,"text":7961},{"id":12469,"depth":250,"text":12470},{"id":6063,"depth":224,"text":6063,"children":13222},[13223,13224,13225],{"id":12478,"depth":250,"text":12479},{"id":12555,"depth":250,"text":12556},{"id":12637,"depth":250,"text":12638},{"id":11260,"depth":224,"text":11261},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fdify.webp","Dify 2026 真实评测：开源 LLMOps 与 AI Agent 平台，集工作流编排、RAG 知识库、Agent、MCP 和多模型接入于一体。本文对比 Coze、FastGPT、n8n，整理自托管部署、云版价格、适合团队和避坑建议。",[696,697,13236],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[1349,1348,1350,2861],[13241,13245,13249,13253],{"plan":13242,"price":707,"features":13243,"notes":13244},"Self-hosted（开源版）","Docker 一键部署 + 全部核心功能（工作流 \u002F RAG \u002F Agent \u002F MCP）+ 接任意模型 API","私有部署 \u002F 完全免费 \u002F Apache 2.0",{"plan":13246,"price":707,"features":13247,"notes":13248},"Cloud Sandbox（免费云）","官方托管试水档，含基础调用配额","免运维 \u002F 试水 POC",{"plan":13250,"price":12523,"features":13251,"notes":13252},"Cloud Professional","更高调用额度 + 团队协作 + 商用支持","商用云首选",{"plan":13254,"price":716,"features":13255,"notes":10045},"Cloud Team \u002F Enterprise","更大配额 + SLA + 私有部署支持 + 合规","云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费",[11749,11750,11751,11752],{"power":264,"ux":257,"price":264,"cn_support":257,"stability":257},{"title":10153,"description":13234},"Dify 评测 2026：开源 LLMOps 与 AI Agent 平台，自托管指南",[13262,13264,13266,13268,13270],{"title":13263,"url":13030},"Dify 官方文档（中文）",{"title":13265,"url":12561},"Dify GitHub",{"title":13267,"url":13199},"Dify 官方定价",{"title":13269,"url":11445},"Coze vs Dify vs FastGPT 选型",{"title":13271,"url":13272},"Dify Self-Hosted Guide 2026","https:\u002F\u002Fjoshuaopolko.com\u002Fdify-self-hosted-guide","tools\u002Fagent\u002Fplatform\u002Fdify","开源 LLMOps 平台，私有部署 Agent 首选",[10422,745,3367,10423,11777,13276,1392],"llmops","想私有部署、想接全球任意模型，Dify 是答案。比 Coze 工程化、上手陡一点；比 FastGPT 工作流强、RAG 略弱。","p5aiXfjt5rD0m3qxj903DVwZMIONVWKdagLa7niYhcE",{"id":13280,"title":10156,"alternatives":13281,"api_compatible":13282,"body":13283,"category":10404,"chinese_friendly":264,"cover":14277,"description":14278,"domestic":680,"extension":681,"faq":16,"free":680,"github":14240,"languages":14279,"lastVerified":16,"meta":14280,"models":14281,"navigation":253,"notSuitable":14284,"opensource":253,"path":14288,"pillar":700,"platforms":14289,"priceTable":14290,"pricing":14311,"published":6699,"relatedPlaybooks":14312,"relatedReviews":14314,"score":14315,"self_host":253,"seo":14316,"seoTitle":14317,"slug":9936,"sources":14318,"stem":14329,"suitable":14330,"tagline":14336,"tags":14337,"updated":732,"verdict":14340,"website":14234,"__hash__":14341},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[5776,7320,7922,7923],[5028],{"type":18,"value":13284,"toc":14259},[13285,13287,13316,13327,13329,13333,13336,13350,13353,13379,13383,13390,13422,13429,13433,13486,13493,13496,13499,13502,13509,13555,13561,13565,13595,13599,13703,13706,13709,13713,13721,13842,13857,13859,14009,14017,14051,14057,14059,14133,14135,14137,14157,14159,14177,14179,14226,14228,14251,14256],[21,13286,24],{"id":23},[5783,13288,13290,13305],{"className":13289},[5786,5787,5788],[26,13291,13292,13294,13295,13300,13301,13304],{},[42,13293,5793],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[610,13296,13299],{"href":13297,"rel":13298},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[639],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[42,13302,13303],{},"核心优势是 RAG 链路工程做得极细","——问题预处理、混合检索、重排序、上下文组装、答案生成每一步都可视化调参。",[26,13306,13307,13308,13311,13312,13315],{},"最大价值在 ",[42,13309,13310],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[42,13313,13314],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[130,13317,13318],{},[26,13319,13320,13321,13326],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[610,13322,13325],{"href":13323,"rel":13324},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[639],"南环 AI 2026-05 评测","、腾讯云开发者社区 2026-03 部署教程综合整理。版本迭代较快，命令和价格请以最新官方文档为准。",[21,13328,5893],{"id":5893},[5062,13330,13332],{"id":13331},"知识库管理核心能力","知识库管理（核心能力）",[26,13334,13335],{},"支持文件类型：",[36,13337,13338,13341,13344,13347],{},[39,13339,13340],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[39,13342,13343],{},"表格：Excel \u002F CSV",[39,13345,13346],{},"网页：URL 抓取 + 定时同步",[39,13348,13349],{},"API：通过接口推送内容",[26,13351,13352],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[36,13354,13355,13361,13367,13373],{},[39,13356,13357,13360],{},[42,13358,13359],{},"文件夹分组","：不同主题 \u002F 部门分类",[39,13362,13363,13366],{},[42,13364,13365],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[39,13368,13369,13372],{},[42,13370,13371],{},"批量导入","：脚本化大批量同步",[39,13374,13375,13378],{},[42,13376,13377],{},"定时同步","：网页源自动更新",[5062,13380,13382],{"id":13381},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[26,13384,13385,13389],{},[610,13386,13388],{"href":13323,"rel":13387},[639],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[630,13391,13392,13398,13404,13410,13416],{},[39,13393,13394,13397],{},[42,13395,13396],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[39,13399,13400,13403],{},[42,13401,13402],{},"检索策略","：语义检索 \u002F 关键词 BM25 \u002F 混合检索，可调相似度阈值",[39,13405,13406,13409],{},[42,13407,13408],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[39,13411,13412,13415],{},[42,13413,13414],{},"上下文组装","：最优 chunk + 问题 → prompt",[39,13417,13418,13421],{},[42,13419,13420],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[26,13423,13424,13425,13428],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[42,13426,13427],{},"纯知识库 QA 精度","上更高的原因。",[5062,13430,13432],{"id":13431},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[366,13434,13435,13445],{},[369,13436,13437],{},[372,13438,13439,13442],{},[375,13440,13441],{},"模型类别",[375,13443,13444],{},"支持",[390,13446,13447,13455,13462,13470,13478],{},[372,13448,13449,13452],{},[395,13450,13451],{},"国产闭源",[395,13453,13454],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[372,13456,13457,13459],{},[395,13458,414],{},[395,13460,13461],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[372,13463,13464,13467],{},[395,13465,13466],{},"OpenAI 系",[395,13468,13469],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[372,13471,13472,13475],{},[395,13473,13474],{},"Claude 系",[395,13476,13477],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[372,13479,13480,13483],{},[395,13481,13482],{},"嵌入 \u002F 重排",[395,13484,13485],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[26,13487,13488,13489,13492],{},"可以在 ",[42,13490,13491],{},"应用级别","为不同知识库 \u002F 不同场景配置不同模型，做\"低成本 embedding + 高质量 LLM 生成\"组合。",[5062,13494,13495],{"id":13495},"工作流与高级编排",[26,13497,13498],{},"新版本（v4.14.x）支持类似 Dify 的工作流节点编排——条件分支、循环、HTTP 调用、代码节点。能做\"分类 → 路由到不同子知识库 → 不同模型回答\"这类复杂场景。",[5062,13500,13501],{"id":13501},"多向量库选择",[26,13503,13504,13508],{},[610,13505,13507],{"href":13297,"rel":13506},[639],"腾讯云教程"," 公开的 4 种向量后端：",[366,13510,13511,13521],{},[369,13512,13513],{},[372,13514,13515,13518],{},[375,13516,13517],{},"后端",[375,13519,13520],{},"适用",[390,13522,13523,13531,13539,13547],{},[372,13524,13525,13528],{},[395,13526,13527],{},"PgVector",[395,13529,13530],{},"5000 万索引以下，新手 \u002F 小规模",[372,13532,13533,13536],{},[395,13534,13535],{},"Milvus",[395,13537,13538],{},"亿级以上，高性能",[372,13540,13541,13544],{},[395,13542,13543],{},"Zilliz Cloud",[395,13545,13546],{},"Milvus 全托管 SaaS",[372,13548,13549,13552],{},[395,13550,13551],{},"SeekDB \u002F OceanBase",[395,13553,13554],{},"企业级国产化",[26,13556,13557,13558,5819],{},"部署时选对应 ",[204,13559,13560],{},"docker-compose.{pgvector|milvus|...}.yml",[5062,13562,13564],{"id":13563},"api-与-mcp","API 与 MCP",[36,13566,13567,13573,13579,13589],{},[39,13568,13569,13572],{},[42,13570,13571],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[39,13574,13575,13578],{},[42,13576,13577],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[39,13580,13581,13584,13585,13588],{},[42,13582,13583],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[610,13586,1790],{"href":13587},"\u002Fcoding\u002Fcli\u002Fclaude-code.html"," 等客户端直接接入",[39,13590,13591,13594],{},[42,13592,13593],{},"Webhook","：回调通知",[21,13596,13598],{"id":13597},"部署-10-分钟docker","部署 10 分钟（Docker）",[197,13600,13602],{"className":199,"code":13601,"language":201,"meta":202,"style":202},"# 克隆代码\ngit clone https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\ncd FastGPT\n\n# 切到最新稳定版（参考 GitHub releases）\ngit switch -c 4.14.7.2\n\n# 选向量库版本（个人 \u002F 小规模选 pg）\ncd deploy\u002Fdocker\u002Fcn\nwget https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n\n# 启动\ndocker-compose -f docker-compose.pg.yml up -d\n\n# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[204,13603,13604,13609,13618,13625,13629,13634,13647,13651,13656,13663,13671,13675,13679,13694,13698],{"__ignoreMap":202},[207,13605,13606],{"class":209,"line":210},[207,13607,13608],{"class":260},"# 克隆代码\n",[207,13610,13611,13613,13615],{"class":209,"line":224},[207,13612,214],{"class":213},[207,13614,218],{"class":217},[207,13616,13617],{"class":217}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[207,13619,13620,13622],{"class":209,"line":250},[207,13621,228],{"class":227},[207,13623,13624],{"class":217}," FastGPT\n",[207,13626,13627],{"class":209,"line":257},[207,13628,254],{"emptyLinePlaceholder":253},[207,13630,13631],{"class":209,"line":264},[207,13632,13633],{"class":260},"# 切到最新稳定版（参考 GitHub releases）\n",[207,13635,13636,13638,13641,13644],{"class":209,"line":276},[207,13637,214],{"class":213},[207,13639,13640],{"class":217}," switch",[207,13642,13643],{"class":227}," -c",[207,13645,13646],{"class":227}," 4.14.7.2\n",[207,13648,13649],{"class":209,"line":281},[207,13650,254],{"emptyLinePlaceholder":253},[207,13652,13653],{"class":209,"line":287},[207,13654,13655],{"class":260},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[207,13657,13658,13660],{"class":209,"line":321},[207,13659,228],{"class":227},[207,13661,13662],{"class":217}," deploy\u002Fdocker\u002Fcn\n",[207,13664,13665,13668],{"class":209,"line":326},[207,13666,13667],{"class":213},"wget",[207,13669,13670],{"class":217}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[207,13672,13673],{"class":209,"line":332},[207,13674,254],{"emptyLinePlaceholder":253},[207,13676,13677],{"class":209,"line":344},[207,13678,1672],{"class":260},[207,13680,13681,13684,13687,13690,13692],{"class":209,"line":355},[207,13682,13683],{"class":213},"docker-compose",[207,13685,13686],{"class":227}," -f",[207,13688,13689],{"class":217}," docker-compose.pg.yml",[207,13691,12603],{"class":217},[207,13693,12606],{"class":227},[207,13695,13696],{"class":209,"line":1669},[207,13697,254],{"emptyLinePlaceholder":253},[207,13699,13700],{"class":209,"line":1675},[207,13701,13702],{"class":260},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[26,13704,13705],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[26,13707,13708],{},"进入后台 → 账号 → 模型提供商 → 配置至少 1 个对话模型 + 1 个嵌入模型 → 即可开始建知识库。",[21,13710,13712],{"id":13711},"云版-vs-自托管对比","云版 vs 自托管对比",[26,13714,13715,13720],{},[610,13716,13719],{"href":13717,"rel":13718},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[639],"fastgpt.io 官方定价"," 公开数据：",[366,13722,13723,13748],{},[369,13724,13725],{},[372,13726,13727,13729,13731,13734,13737,13740,13742,13745],{},[375,13728,12497],{},[375,13730,108],{},[375,13732,13733],{},"AI 积分",[375,13735,13736],{},"知识库索引",[375,13738,13739],{},"团队",[375,13741,12354],{},[375,13743,13744],{},"知识库",[375,13746,13747],{},"QPM",[390,13749,13750,13774,13798,13822],{},[372,13751,13752,13754,13756,13759,13762,13765,13768,13771],{},[395,13753,12512],{},[395,13755,11730],{},[395,13757,13758],{},"100",[395,13760,13761],{},"600",[395,13763,13764],{},"1",[395,13766,13767],{},"10",[395,13769,13770],{},"3",[395,13772,13773],{},"30",[372,13775,13776,13778,13781,13784,13787,13790,13793,13795],{},[395,13777,10210],{},[395,13779,13780],{},"¥99\u002F月",[395,13782,13783],{},"4000",[395,13785,13786],{},"6000",[395,13788,13789],{},"5",[395,13791,13792],{},"50",[395,13794,13773],{},[395,13796,13797],{},"300",[372,13799,13800,13803,13806,13809,13812,13814,13817,13819],{},[395,13801,13802],{},"高级",[395,13804,13805],{},"¥599\u002F月",[395,13807,13808],{},"25000",[395,13810,13811],{},"36000",[395,13813,13792],{},[395,13815,13816],{},"200",[395,13818,13758],{},[395,13820,13821],{},"1500",[372,13823,13824,13827,13829,13832,13834,13836,13838,13840],{},[395,13825,13826],{},"定制",[395,13828,11739],{},[395,13830,13831],{},"弹性",[395,13833,13831],{},[395,13835,13831],{},[395,13837,13831],{},[395,13839,13831],{},[395,13841,13831],{},[26,13843,13844,13847,13848,13851,13852,13856],{},[42,13845,13846],{},"云版适合","：不想运维、量小、要快速上线\n",[42,13849,13850],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[610,13853,13855],{"href":13323,"rel":13854},[639],"南环评测"," 估算：\"日均 10 万次问答的企业场景，商业 SaaS 年费数十万，自建 FastGPT + 开源模型只需数万硬件投入\"",[21,13858,6239],{"id":6239},[366,13860,13861,13881],{},[369,13862,13863],{},[372,13864,13865,13867,13869,13873,13877,13879],{},[375,13866,377],{},[375,13868,10156],{},[375,13870,13871],{},[610,13872,10153],{"href":11316},[375,13874,13875],{},[610,13876,10920],{"href":7816},[375,13878,9885],{},[375,13880,9881],{},[390,13882,13883,13902,13916,13931,13948,13963,13979,13993],{},[372,13884,13885,13887,13890,13893,13896,13899],{},[395,13886,6272],{},[395,13888,13889],{},"知识库 QA",[395,13891,13892],{},"综合 LLMOps",[395,13894,13895],{},"Bot + 工作流",[395,13897,13898],{},"文档解析+RAG",[395,13900,13901],{},"桌面级 KB",[372,13903,13904,13906,13908,13910,13912,13914],{},[395,13905,414],{},[395,13907,2390],{},[395,13909,2390],{},[395,13911,426],{},[395,13913,2390],{},[395,13915,423],{},[372,13917,13918,13920,13923,13925,13927,13929],{},[395,13919,11346],{},[395,13921,13922],{},"★★★★★ docker",[395,13924,6315],{},[395,13926,11349],{},[395,13928,5579],{},[395,13930,6315],{},[372,13932,13933,13936,13939,13941,13943,13946],{},[395,13934,13935],{},"RAG 深度",[395,13937,13938],{},"★★★★★ 最细",[395,13940,5579],{},[395,13942,5585],{},[395,13944,13945],{},"★★★★★ 文档解析最强",[395,13947,5585],{},[372,13949,13950,13953,13955,13957,13959,13961],{},[395,13951,13952],{},"工作流",[395,13954,5579],{},[395,13956,6315],{},[395,13958,5579],{},[395,13960,5585],{},[395,13962,5593],{},[372,13964,13965,13967,13970,13972,13975,13977],{},[395,13966,936],{},[395,13968,13969],{},"★★★☆☆ 需 docker",[395,13971,5579],{},[395,13973,13974],{},"★★★★★ 最简单",[395,13976,5585],{},[395,13978,5579],{},[372,13980,13981,13983,13985,13987,13989,13991],{},[395,13982,9705],{},[395,13984,6315],{},[395,13986,5579],{},[395,13988,6315],{},[395,13990,5579],{},[395,13992,5585],{},[372,13994,13995,13998,14001,14003,14005,14007],{},[395,13996,13997],{},"多平台发布",[395,13999,14000],{},"⚠️ API 为主",[395,14002,5579],{},[395,14004,6315],{},[395,14006,6363],{},[395,14008,6363],{},[26,14010,14011,11442,14013,11000],{},[42,14012,11441],{},[610,14014,14016],{"href":13323,"rel":14015},[639],"南环 AI 评测",[36,14018,14019,14025,14032,14039,14045],{},[39,14020,14021,14024],{},[42,14022,14023],{},"核心需求是 RAG 精度"," → FastGPT",[39,14026,14027,11466,14030],{},[42,14028,14029],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[610,14031,10153],{"href":11316},[39,14033,14034,11466,14037],{},[42,14035,14036],{},"零代码、快速发布到飞书 \u002F 微信",[610,14038,10920],{"href":7816},[39,14040,14041,14044],{},[42,14042,14043],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[39,14046,14047,14050],{},[42,14048,14049],{},"桌面 \u002F 单机使用"," → AnythingLLM",[26,14052,14053,14056],{},[42,14054,14055],{},"很多企业同时用","：FastGPT 做知识库底座 + Coze 做前端 Bot 发布 \u002F 工作流编排。",[21,14058,6457],{"id":6457},[36,14060,14061,14074,14083,14089,14099,14111,14117,14123],{},[39,14062,14063,5072,14066,14069,14070,14073],{},[42,14064,14065],{},"docker-compose 镜像 tag 不一致",[610,14067,13507],{"href":13297,"rel":14068},[639]," 实测的坑——某些版本编排文件的 image tag 与最新 release 不一致，启动报\"镜像找不到\"，手动改 ",[204,14071,14072],{},"image:"," 行为正确版本即可",[39,14075,14076,14079,14080,14082],{},[42,14077,14078],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[204,14081,13683],{}," 的 ports 映射端口",[39,14084,14085,14088],{},[42,14086,14087],{},"PostgreSQL pgvector 不够用就换 Milvus","：单库索引超 5000 万时 pgvector 查询性能下降，切 Milvus",[39,14090,14091,14094,14095,14098],{},[42,14092,14093],{},"向量库选错代价大","：先评估索引量再选向量后端，迁移要重新 embedding 整库，按 ",[610,14096,13855],{"href":13323,"rel":14097},[639],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[39,14100,14101,5072,14104,14107,14108],{},[42,14102,14103],{},"MinIO 默认密码",[204,14105,14106],{},"minioadmin\u002Fminioadmin","，",[42,14109,14110],{},"部署到公网前必须改",[39,14112,14113,14116],{},[42,14114,14115],{},"分段策略影响巨大","：默认分段对长法律 \u002F 医疗文档不友好，需调\"按章节\"或\"自定义\"",[39,14118,14119,14122],{},[42,14120,14121],{},"嵌入模型 ≠ 对话模型","：经常有人只配 GPT-4 没配 embedding 模型，知识库无法索引——必须同时配两类",[39,14124,14125,14128,14129,2337],{},[42,14126,14127],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[610,14130,14132],{"href":13717,"rel":14131},[639],"fastgpt.io 定价 FAQ",[21,14134,575],{"id":574},[26,14136,6528],{},[36,14138,14139,14142,14145,14148,14151,14154],{},[39,14140,14141],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[39,14143,14144],{},"产品 FAQ \u002F 用户手册问答",[39,14146,14147],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[39,14149,14150],{},"数据严格不出网 + Apache 2.0 商用",[39,14152,14153],{},"有 docker 运维基础的技术团队",[39,14155,14156],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[26,14158,6548],{},[36,14160,14161,14166,14171,14174],{},[39,14162,14163,14164,2337],{},"完全非技术用户（去 ",[610,14165,10920],{"href":7816},[39,14167,14168,14169,2337],{},"主要需求是工作流 + 插件集成（去 ",[610,14170,10153],{"href":11316},[39,14172,14173],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[39,14175,14176],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[21,14178,604],{"id":604},[36,14180,14181,14190,14206,14220],{},[39,14182,6576,14183,6035,14185,14187,14188],{},[610,14184,10153],{"href":11316},[610,14186,10920],{"href":7816}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[610,14189,11626],{"href":11625},[39,14191,6587,14192,6035,14194,6035,14198,6035,14201,6035,14204],{},[610,14193,11634],{"href":11633},[610,14195,14197],{"href":14196},"\u002Fwiki\u002Fembedding.html","Embedding",[610,14199,14200],{"href":14196},"Vector Database",[610,14202,14203],{"href":11633},"Reranker",[610,14205,6591],{"href":6590},[39,14207,6598,14208,6035,14210,6035,14212,6035,14214,6035,14218],{},[610,14209,9416],{"href":11649},[610,14211,6610],{"href":6609},[610,14213,11655],{"href":11654},[610,14215,14217],{"href":14216},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[610,14219,11646],{"href":11645},[39,14221,6613,14222,6035,14224],{},[610,14223,6617],{"href":6616},[610,14225,6621],{"href":6620},[21,14227,628],{"id":628},[36,14229,14230,14236,14242,14248],{},[39,14231,6628,14232],{},[610,14233,14234],{"href":14234,"rel":14235},"https:\u002F\u002Ffastgpt.io",[639],[39,14237,13190,14238],{},[610,14239,14240],{"href":14240,"rel":14241},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[639],[39,14243,14244,14245],{},"定价：",[610,14246,13717],{"href":13717,"rel":14247},[639],[39,14249,14250],{},"第三方评测：南环 AI \u002F 腾讯云开发者社区 \u002F 飞书 AGI 掘金知识库",[26,14252,14253,14254,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 命令 \u002F 功能与最新官方信息不一致，请通过 ",[610,14255,6647],{"href":6646},[662,14257,14258],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":14260},[14261,14262,14270,14271,14272,14273,14274,14275,14276],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":14263},[14264,14265,14266,14267,14268,14269],{"id":13331,"depth":250,"text":13332},{"id":13381,"depth":250,"text":13382},{"id":13431,"depth":250,"text":13432},{"id":13495,"depth":250,"text":13495},{"id":13501,"depth":250,"text":13501},{"id":13563,"depth":250,"text":13564},{"id":13597,"depth":224,"text":13598},{"id":13711,"depth":224,"text":13712},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Ffastgpt.webp","FastGPT 真实评测：开源 LLM 知识库 RAG 平台，labring 团队出品，27k+ GitHub star。一键 docker-compose 部署、RAG 流程编排可视化、多向量库支持。AIHO 编辑部基于官方文档与社区资料整理，含与 Dify\u002FCoze 对比、避坑指南。",[696,697],{},[11718,6675,11717,14282,5711,14283],"gpt-4o","kimi",[14285,14286,14287],"完全零代码 \u002F 不懂 docker 的用户（去 Coze）","Bot 多平台一键发布场景（Coze 强项）","插件 \u002F 工作流复杂集成（去 Dify）","\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt",[1349,1348,1350],[14291,14295,14299,14303,14307],{"plan":14292,"price":12512,"limit":14293,"cn_pay":5724,"note":14294},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":14296,"price":14297,"limit":14298,"cn_pay":5724,"note":4432},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库",{"plan":14300,"price":13780,"limit":14301,"cn_pay":11736,"note":14302},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":14304,"price":13805,"limit":14305,"cn_pay":1100,"note":14306},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":14308,"price":11739,"limit":14309,"cn_pay":1100,"note":14310},"云定制版","弹性资源 + 深度技术支持 + 专属客户经理","中大型企业","自托管开源免费 \u002F 云版 ¥0-¥599\u002F月",[14313],"onboarding\u002Ffastgpt-getting-started",[11752,11749,11750,11751],{"power":257,"ux":257,"price":264,"cn_support":264,"stability":257},{"title":10156,"description":14278},"FastGPT 评测 2026：开源知识库问答平台，AI 工作流引擎，对比 Dify",[14319,14321,14323,14325,14327],{"title":14320,"url":14234},"FastGPT 官网",{"title":14322,"url":14240},"FastGPT GitHub",{"title":14324,"url":13717},"FastGPT 定价页",{"title":14326,"url":13323},"FastGPT 2025 测评（南环 AI）",{"title":14328,"url":13297},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[14331,14332,14333,14334,14335],"企业内部知识库（员工手册、规章、流程）","产品文档智能问答（FAQ \u002F 用户手册）","垂直领域知识库（医疗、法律、金融）","数据严格不出网的合规场景","需要精细 RAG 流程编排（重排序、混合检索、阈值调节）","开源知识库问答系统，国内私有部署友好",[10422,745,3367,10423,14338,4466,14339],"china","labring","国内企业知识库私有化首选。RAG 召回工程做得很细，可视化调试好用，docker-compose 一键部署。生态插件不如 Dify 丰富。","NAay3javdz1FV9ZaZVXCpoCFdZlJu5B4E0Y3oSzmYLk",{"id":14343,"title":10367,"alternatives":14344,"api_compatible":16,"body":14345,"category":10404,"chinese_friendly":250,"cover":14837,"description":14838,"domestic":680,"extension":681,"faq":16,"free":680,"github":14822,"languages":14839,"lastVerified":2637,"meta":14840,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":14841,"pillar":700,"platforms":14842,"priceTable":16,"pricing":14843,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":14844,"self_host":680,"seo":14845,"seoTitle":14846,"slug":14847,"sources":14848,"stem":14851,"suitable":16,"tagline":14852,"tags":14853,"updated":2637,"verdict":14856,"website":14816,"__hash__":14857},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fflowise.md",[7922,5776,7923],{"type":18,"value":14346,"toc":14824},[14347,14349,14352,14355,14357,14411,14413,14467,14471,14473,14479,14502,14506,14529,14531,14554,14556,14685,14687,14731,14733,14765,14767,14773,14779,14788,14794,14796,14804,14806,14810],[21,14348,24],{"id":23},[26,14350,14351],{},"Flowise 是开源 LLM 流程编排平台（Apache 2.0），拖拽式可视化构建 AI 应用，底层基于 LangChain \u002F LlamaIndex 生态。节点包括 LLM \u002F Chat Model \u002F Embedding \u002F Vector Store \u002F Tool \u002F Agent \u002F Memory 等，连线编排成完整流程。Docker 自托管 + Cloud 云端双模式，导出为 API \u002F 嵌入式聊天组件 \u002F SDK。",[26,14353,14354],{},"适合：不写代码也要搭建 AI 应用的产品\u002F运营团队、快速验证 RAG \u002F Chatbot 原型、LangChain 生态用户可视化探索。不适合：复杂业务逻辑编排（用 n8n \u002F Dify）、大规模并发生产服务、深度定制需求（直接写 LangChain 代码）。",[21,14356,34],{"id":34},[36,14358,14359,14365,14371,14377,14383,14389,14394,14400,14405],{},[39,14360,14361,14364],{},[42,14362,14363],{},"可视化拖拽编排","：节点 + 连线构建 LLM 流程，实时预览",[39,14366,14367,14370],{},[42,14368,14369],{},"LangChain 生态","：直接使用 LangChain \u002F LlamaIndex 全部组件",[39,14372,14373,14376],{},[42,14374,14375],{},"丰富节点","：LLM \u002F Chat Model \u002F Embedding \u002F Vector Store \u002F Tool \u002F Agent \u002F Memory \u002F Chain",[39,14378,14379,14382],{},[42,14380,14381],{},"Agent 支持","：Conversational Agent \u002F Tool Calling Agent \u002F ReAct Agent",[39,14384,14385,14388],{},[42,14386,14387],{},"RAG 流程","：文档加载 → 切片 → 嵌入 → 向量存储 → 检索 → 生成，全可视化",[39,14390,14391,14393],{},[42,14392,9978],{},"：Pinecone \u002F Qdrant \u002F Chroma \u002F Weaviate \u002F Supabase",[39,14395,14396,14399],{},[42,14397,14398],{},"多模型接入","：OpenAI \u002F Claude \u002F Gemini \u002F Azure \u002F Ollama \u002F HuggingFace",[39,14401,14402,14404],{},[42,14403,9165],{},"：导出 REST API \u002F 嵌入式聊天组件 \u002F React SDK",[39,14406,14407,14410],{},[42,14408,14409],{},"凭据管理","：API Key 加密存储，支持环境变量",[21,14412,108],{"id":108},[366,14414,14415,14425],{},[369,14416,14417],{},[372,14418,14419,14421,14423],{},[375,14420,9528],{},[375,14422,108],{},[375,14424,9533],{},[390,14426,14427,14436,14447,14458],{},[372,14428,14429,14431,14433],{},[395,14430,5722],{},[395,14432,707],{},[395,14434,14435],{},"完整功能，Apache 2.0，自托管",[372,14437,14438,14441,14444],{},[395,14439,14440],{},"Cloud Starter",[395,14442,14443],{},"$39\u002F月起",[395,14445,14446],{},"托管服务，1 个工作区",[372,14448,14449,14452,14455],{},[395,14450,14451],{},"Cloud Pro",[395,14453,14454],{},"$89\u002F月起",[395,14456,14457],{},"多工作区 + 团队协作 + 高并发",[372,14459,14460,14462,14464],{},[395,14461,833],{},[395,14463,10045],{},[395,14465,14466],{},"私有部署 + SSO + 专属支持",[130,14468,14469],{},[26,14470,9569],{},[21,14472,2241],{"id":2240},[130,14474,14475],{},[26,14476,2246,14477],{},[42,14478,143],{},[36,14480,14481,14484,14487,14490,14496,14499],{},[39,14482,14483],{},"拖拽编排体验流畅，LangChain 组件全覆盖，不用写代码也能搭复杂流程",[39,14485,14486],{},"RAG 流程模板开箱即用，上传 PDF + 接 OpenAI 几分钟出问答机器人",[39,14488,14489],{},"嵌入式聊天组件方便，生成一段 JS 代码嵌入网页即可",[39,14491,14492,14493,14495],{},"Docker 部署简单，",[204,14494,10068],{}," 一条命令",[39,14497,14498],{},"节点参数可视化配置，temperature \u002F chunk size 等滑块调整直观",[39,14500,14501],{},"社区活跃，模板市场有不少现成的 Chatflow 可复用",[26,14503,14504],{},[42,14505,168],{},[36,14507,14508,14511,14514,14517,14520,14523,14526],{},[39,14509,14510],{},"流程复杂后画布混乱，连线交叉难以维护",[39,14512,14513],{},"性能一般——每个请求经过多个节点序列化\u002F反序列化，延迟偏高",[39,14515,14516],{},"错误信息不够友好，节点报错时定位问题费时",[39,14518,14519],{},"升级 LangChain 版本后部分节点可能不兼容",[39,14521,14522],{},"无法版本控制流程结构，团队协作时容易覆盖",[39,14524,14525],{},"并发能力有限，高并发场景需配合队列 + 负载均衡",[39,14527,14528],{},"深度定制仍需写代码——自定义节点门槛不低",[21,14530,936],{"id":936},[630,14532,14533,14537,14542,14545,14548,14551],{},[39,14534,10115,14535,10119],{},[204,14536,10118],{},[39,14538,9628,14539,10126],{},[204,14540,14541],{},"http:\u002F\u002Flocalhost:3000",[39,14543,14544],{},"配置 Credential：添加 OpenAI API Key 等凭据",[39,14546,14547],{},"新建 Chatflow → 从空白或模板开始",[39,14549,14550],{},"拖入节点：Chat OpenAI + Conversational Retrieval Chain + Vector Store",[39,14552,14553],{},"连线编排 → 右上角 Save → 测试对话 → 导出 API \u002F 嵌入组件",[21,14555,364],{"id":364},[366,14557,14558,14572],{},[369,14559,14560],{},[372,14561,14562,14564,14566,14568,14570],{},[375,14563,377],{},[375,14565,10367],{},[375,14567,10159],{},[375,14569,10153],{},[375,14571,11626],{},[390,14573,14574,14591,14606,14618,14632,14644,14657,14671],{},[372,14575,14576,14579,14582,14585,14588],{},[395,14577,14578],{},"编排方式",[395,14580,14581],{},"拖拽 Chatflow",[395,14583,14584],{},"拖拽 Flow",[395,14586,14587],{},"拖拽 + YAML",[395,14589,14590],{},"拖拽 Workflow",[372,14592,14593,14596,14598,14600,14603],{},[395,14594,14595],{},"生态",[395,14597,8244],{},[395,14599,8244],{},[395,14601,14602],{},"自有",[395,14604,14605],{},"通用自动化",[372,14607,14608,14610,14612,14614,14616],{},[395,14609,936],{},[395,14611,10650],{},[395,14613,10650],{},[395,14615,10650],{},[395,14617,2458],{},[372,14619,14620,14622,14625,14627,14630],{},[395,14621,11634],{},[395,14623,14624],{},"✅ 模板丰富",[395,14626,1100],{},[395,14628,14629],{},"✅ 强",[395,14631,7661],{},[372,14633,14634,14636,14638,14640,14642],{},[395,14635,12354],{},[395,14637,1100],{},[395,14639,1100],{},[395,14641,14629],{},[395,14643,1100],{},[372,14645,14646,14649,14651,14653,14655],{},[395,14647,14648],{},"API 导出",[395,14650,1100],{},[395,14652,1100],{},[395,14654,1100],{},[395,14656,1100],{},[372,14658,14659,14662,14665,14667,14669],{},[395,14660,14661],{},"部署",[395,14663,14664],{},"Docker",[395,14666,14664],{},[395,14668,14664],{},[395,14670,14664],{},[372,14672,14673,14675,14678,14680,14683],{},[395,14674,506],{},[395,14676,14677],{},"AI 应用原型",[395,14679,14677],{},[395,14681,14682],{},"生产 AI 应用",[395,14684,14605],{},[21,14686,521],{"id":521},[36,14688,14689,14695,14701,14707,14713,14719,14725],{},[39,14690,14691,14694],{},[42,14692,14693],{},"流程别太复杂","：超过 15 个节点的 Chatflow 维护成本急升，拆分成多个",[39,14696,14697,14700],{},[42,14698,14699],{},"性能优化","：合并可合并的节点，减少序列化开销",[39,14702,14703,14706],{},[42,14704,14705],{},"版本管理","：定期导出 Chatflow JSON 备份，升级前测兼容性",[39,14708,14709,14712],{},[42,14710,14711],{},"凭据安全","：不要在流程中硬编码 API Key，统一走 Credential 管理",[39,14714,14715,14718],{},[42,14716,14717],{},"并发测试","：上线前压测，Flowise 单实例并发有限",[39,14720,14721,14724],{},[42,14722,14723],{},"LangChain 版本","：关注 Flowise 更新日志，LangChain 大版本升级可能有 breaking change",[39,14726,14727,14730],{},[42,14728,14729],{},"别替代生产框架","：复杂生产应用还是用 Dify 或直接写代码",[21,14732,575],{"id":574},[36,14734,14735,14738,14741,14744,14747,14750,14753,14756,14759,14762],{},[39,14736,14737],{},"✅ 不写代码搭建 RAG \u002F Chatbot 原型",[39,14739,14740],{},"✅ LangChain 生态用户可视化探索",[39,14742,14743],{},"✅ 快速验证 AI 应用概念",[39,14745,14746],{},"✅ 嵌入式聊天组件场景",[39,14748,14749],{},"✅ 教学 \u002F 演示 LLM 流程",[39,14751,14752],{},"❌ 复杂业务逻辑编排（用 n8n \u002F Dify）",[39,14754,14755],{},"❌ 大规模并发生产服务（性能有限）",[39,14757,14758],{},"❌ 深度定制需求（直接写 LangChain 代码）",[39,14760,14761],{},"❌ 需要版本控制 + 团队协作开发（能力有限）",[39,14763,14764],{},"❌ 非 LangChain 生态需求",[21,14766,2552],{"id":2551},[26,14768,14769,14772],{},[42,14770,14771],{},"Q: Flowise 和 Langflow 怎么选？","\nA: 两者定位几乎相同——都是 LangChain 可视化编排。Flowise 界面更简洁、上手稍快、社区模板多。Langflow 由 DataStax 维护、与 LangChain 官方关系更近、组件更新更快。都试试选顺手的即可。",[26,14774,14775,14778],{},[42,14776,14777],{},"Q: Flowise 和 Dify 怎么选？","\nA: Flowise 专注 LLM 流程可视化编排，轻量、原型验证快。Dify 是完整 AI 应用开发平台——工作流 + Agent + RAG + API 管理 + 监控，功能更全更适合生产。做原型选 Flowise，做产品选 Dify。",[26,14780,14781,14783,14784,14787],{},[42,14782,10846],{},"\nA: 可以。Flowise 支持 Ollama \u002F HuggingFace 本地模型节点，配置 Ollama 地址（",[204,14785,14786],{},"http:\u002F\u002Flocalhost:11434","）即可在流程中使用本地 LLM 和 Embedding 模型。",[26,14789,14790,14793],{},[42,14791,14792],{},"Q: 生产环境能用吗？","\nA: 小规模可以（内部工具 \u002F 低并发场景）。高并发生产环境建议用 Dify 或直接写代码——Flowise 的节点序列化开销和单实例并发限制是瓶颈。如需生产部署，配合 Nginx 负载均衡 + 多实例 + Redis 队列。",[21,14795,604],{"id":604},[26,14797,14798,2589,14800,2589,14802],{},[610,14799,10429],{"href":12225},[610,14801,8250],{"href":10857},[610,14803,9885],{"href":9884},[21,14805,628],{"id":628},[130,14807,14808],{},[26,14809,2604],{},[36,14811,14812,14818],{},[39,14813,14814],{},[610,14815,2613],{"href":14816,"rel":14817},"https:\u002F\u002Fflowiseai.com",[639],[39,14819,14820],{},[610,14821,2620],{"href":14822,"rel":14823},"https:\u002F\u002Fgithub.com\u002FFlowiseAI\u002FFlowise",[639],{"title":202,"searchDepth":250,"depth":250,"links":14825},[14826,14827,14828,14829,14830,14831,14832,14833,14834,14835,14836],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fflowise.webp","Flowise 真实评测：开源 LLM 流程编排平台（Apache 2.0 协议），拖拽式可视化构建 AI 应用，基于 LangChain 生态。支持 Docker 自托管 + Cloud 云端，适合不写代码也能搭建 RAG\u002FAgent\u002FChatbot 流程的团队。",[697],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fflowise",[1350,2861],"Free \u002F 开源（Apache 2.0）\u002F Cloud",{"power":250,"ux":257,"price":264,"cn_support":250,"stability":250},{"title":10367,"description":14838},"Flowise - 拖拽式 LLM 流程编排评测 | AIHO","agent\u002Fplatform\u002Fflowise",[14849,14850],{"title":2613,"url":14816},{"title":2620,"url":14822},"tools\u002Fagent\u002Fplatform\u002Fflowise","开源 LLM 流程编排，拖拽式构建 AI 应用",[10422,745,14854,11780,14855],"flow","langchain","不写代码也要拖拽搭建 RAG \u002F Chatbot \u002F Agent 流程的团队首选，基于 LangChain 生态组件丰富、可视化编排直观，但复杂流程维护难、性能一般、深度定制仍需写代码。","T4ETS7kNZnBNcywZPndJ_ynLVGjoghi1D0jMxZ7sK1A",{"id":14859,"title":10159,"alternatives":14860,"api_compatible":16,"body":14861,"category":10404,"chinese_friendly":250,"cover":15405,"description":15406,"domestic":680,"extension":681,"faq":15407,"free":680,"github":16,"languages":15420,"lastVerified":16,"meta":15421,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":8492,"pillar":700,"platforms":15422,"priceTable":15424,"pricing":15437,"published":720,"relatedPlaybooks":15438,"relatedReviews":16,"score":15440,"self_host":253,"seo":15441,"seoTitle":15442,"slug":7922,"sources":15443,"stem":15453,"suitable":16,"tagline":15454,"tags":15455,"updated":732,"verdict":15458,"website":15446,"__hash__":15459},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md",[7923,7924,2162],{"type":18,"value":14862,"toc":15393},[14863,14865,14868,14871,14873,14947,14949,14974,14979,14983,14987,15013,15017,15043,15045,15098,15101,15124,15126,15258,15260,15315,15317,15343,15345,15359,15361,15391],[21,14864,24],{"id":23},[26,14866,14867],{},"Langflow 是 2023 开源、2024 被 DataStax 收购的可视化 LangChain 画布。20,000+ GitHub stars、MIT 协议、Python 实现、与 Astra DB 向量库深度集成。差异点：拖拽式画布把 LangChain primitive 映射成节点 + RAG pipeline 原生组件 + 多 agent 工作流 + 节点可下钻到 Python 代码 + 自托管 \u002F Docker \u002F DataStax Astra 云托管 + Pinecone \u002F pgvector \u002F 主流向量库适配 + Visual GUI for building LangChain pipelines。Self-host 免费 \u002F Cloud Free + Paid ~$25\u002F月起。",[26,14869,14870],{},"适合：工程团队要可视化建 LangChain 流 + 不被 SaaS 锁住；合规 \u002F 数据驻留要求自托管；要 Astra DB 一站式 RAG；想用 LangChain 但讨厌纯代码协作。不适合：业务侧 + 非工程师（用 Dify \u002F Coze）；纯无代码偏好（Langflow 仍要懂 LangChain 概念）；轻量场景 + 不需要画布（直接写 LangChain 代码）。",[21,14872,34],{"id":34},[36,14874,14875,14881,14887,14893,14899,14905,14911,14917,14923,14929,14935,14941],{},[39,14876,14877,14880],{},[42,14878,14879],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[39,14882,14883,14886],{},[42,14884,14885],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[39,14888,14889,14892],{},[42,14890,14891],{},"多 agent 工作流","：编排多 agent 协作",[39,14894,14895,14898],{},[42,14896,14897],{},"Python 下钻","：任意节点可写 custom Python",[39,14900,14901,14904],{},[42,14902,14903],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[39,14906,14907,14910],{},[42,14908,14909],{},"API 部署","：流程一键导出为 REST API",[39,14912,14913,14916],{},[42,14914,14915],{},"Real-time collaboration","：多用户同 project",[39,14918,14919,14922],{},[42,14920,14921],{},"版本控制","：内置 versioning + revert",[39,14924,14925,14928],{},[42,14926,14927],{},"数据可视化","：node output \u002F data flow 可视化调试",[39,14930,14931,14934],{},[42,14932,14933],{},"角色权限","：user auth + RBAC",[39,14936,14937,14940],{},[42,14938,14939],{},"Docker \u002F pip 安装","：5 分钟启动",[39,14942,14943,14946],{},[42,14944,14945],{},"Astra-hosted cloud","：DataStax 托管选项",[21,14948,108],{"id":108},[36,14950,14951,14957,14963,14969],{},[39,14952,14953,14956],{},[42,14954,14955],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[39,14958,14959,14962],{},[42,14960,14961],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[39,14964,14965,14968],{},[42,14966,14967],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[39,14970,14971,14973],{},[42,14972,833],{},"：联系销售；SSO + audit + 私有部署 + SLA",[130,14975,14976],{},[26,14977,14978],{},"自托管最低成本：$5-10\u002F月 VPS + LLM API token。Cloud Paid $25\u002F月适合不想运维的小团队。",[21,14980,14982],{"id":14981},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[26,14984,14985],{},[42,14986,143],{},[36,14988,14989,14992,14995,14998,15001,15004,15007,15010],{},[39,14990,14991],{},"画布直观，比纯写 LangChain 协作效率高 5x",[39,14993,14994],{},"节点下钻到 Python 让灵活度不被画布限制",[39,14996,14997],{},"Astra DB 集成省了配 vector store 时间",[39,14999,15000],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[39,15002,15003],{},"开源 + 自托管 + 数据驻留满足合规",[39,15005,15006],{},"多 agent 编排比裸 LangChain 调试容易",[39,15008,15009],{},"RAG pipeline 模板一键起 demo",[39,15011,15012],{},"与 DataStax 长期支持降低 abandon ware 风险",[26,15014,15015],{},[42,15016,168],{},[36,15018,15019,15022,15025,15028,15031,15034,15037,15040],{},[39,15020,15021],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[39,15023,15024],{},"第三方 API 依赖：external API 失败时错误处理弱",[39,15026,15027],{},"production readiness 不算 mission-critical（要自加 observability）",[39,15029,15030],{},"LangChain 升级偶尔 break 旧 flow",[39,15032,15033],{},"文档对新组件滞后 1-2 月",[39,15035,15036],{},"中文 UI 不完整，业务侧用户上手陡",[39,15038,15039],{},"大型 flow（100+ 节点）画布卡顿",[39,15041,15042],{},"多人协作偶发同步冲突",[21,15044,936],{"id":936},[197,15046,15048],{"className":199,"code":15047,"language":201,"meta":202,"style":202},"# pip 安装\npip install langflow\nlangflow run  # http:\u002F\u002Flocalhost:7860\n\n# 或 Docker\ndocker run -p 7860:7860 langflowai\u002Flangflow:latest\n",[204,15049,15050,15055,15064,15074,15078,15083],{"__ignoreMap":202},[207,15051,15052],{"class":209,"line":210},[207,15053,15054],{"class":260},"# pip 安装\n",[207,15056,15057,15059,15061],{"class":209,"line":224},[207,15058,238],{"class":213},[207,15060,241],{"class":217},[207,15062,15063],{"class":217}," langflow\n",[207,15065,15066,15069,15071],{"class":209,"line":250},[207,15067,15068],{"class":213},"langflow",[207,15070,2864],{"class":217},[207,15072,15073],{"class":260},"  # http:\u002F\u002Flocalhost:7860\n",[207,15075,15076],{"class":209,"line":257},[207,15077,254],{"emptyLinePlaceholder":253},[207,15079,15080],{"class":209,"line":264},[207,15081,15082],{"class":260},"# 或 Docker\n",[207,15084,15085,15087,15089,15092,15095],{"class":209,"line":276},[207,15086,2861],{"class":213},[207,15088,2864],{"class":217},[207,15090,15091],{"class":227}," -p",[207,15093,15094],{"class":217}," 7860:7860",[207,15096,15097],{"class":217}," langflowai\u002Flangflow:latest\n",[26,15099,15100],{},"试 RAG 流：",[630,15102,15103,15106,15109,15112,15115,15118,15121],{},[39,15104,15105],{},"新建 flow → 选 Document QA 模板",[39,15107,15108],{},"Document Loader 节点 → 上传 PDF",[39,15110,15111],{},"Splitter → Embedder（OpenAI 或本地）",[39,15113,15114],{},"VectorStore（Astra \u002F Chroma）",[39,15116,15117],{},"Retriever + ChatOpenAI → Chat Output",[39,15119,15120],{},"部署为 API → 拿到 endpoint",[39,15122,15123],{},"复杂场景下钻节点写 Python 自定义",[21,15125,364],{"id":364},[366,15127,15128,15142],{},[369,15129,15130],{},[372,15131,15132,15134,15136,15138,15140],{},[375,15133,377],{},[375,15135,10159],{},[375,15137,10153],{},[375,15139,11626],{},[375,15141,10367],{},[390,15143,15144,15161,15174,15188,15200,15215,15228,15243],{},[372,15145,15146,15149,15152,15155,15158],{},[395,15147,15148],{},"中心",[395,15150,15151],{},"LangChain primitive",[395,15153,15154],{},"LLMOps 全平台",[395,15156,15157],{},"通用 workflow",[395,15159,15160],{},"LangChain（JS）",[372,15162,15163,15165,15167,15169,15172],{},[395,15164,414],{},[395,15166,423],{},[395,15168,2385],{},[395,15170,15171],{},"✅ Sustainable",[395,15173,423],{},[372,15175,15176,15178,15181,15184,15186],{},[395,15177,7433],{},[395,15179,15180],{},"✅ pip\u002FDocker",[395,15182,15183],{},"✅ Docker",[395,15185,15183],{},[395,15187,1100],{},[372,15189,15190,15192,15194,15196,15198],{},[395,15191,12046],{},[395,15193,1070],{},[395,15195,1100],{},[395,15197,1100],{},[395,15199,1100],{},[372,15201,15202,15205,15208,15210,15213],{},[395,15203,15204],{},"代码下钻",[395,15206,15207],{},"✅ Python",[395,15209,440],{},[395,15211,15212],{},"✅ JS",[395,15214,15212],{},[372,15216,15217,15220,15222,15224,15226],{},[395,15218,15219],{},"RAG 内置",[395,15221,1100],{},[395,15223,1100],{},[395,15225,440],{},[395,15227,1100],{},[372,15229,15230,15233,15235,15238,15241],{},[395,15231,15232],{},"起价（云）",[395,15234,4233],{},[395,15236,15237],{},"$59\u002F月（Team）",[395,15239,15240],{},"自托管 $0",[395,15242,437],{},[372,15244,15245,15247,15250,15253,15255],{},[395,15246,506],{},[395,15248,15249],{},"工程 + LangChain",[395,15251,15252],{},"业务 + LLMOps",[395,15254,14605],{},[395,15256,15257],{},"JS 生态",[21,15259,521],{"id":521},[36,15261,15262,15268,15274,15280,15286,15292,15298,15304,15309],{},[39,15263,15264,15267],{},[42,15265,15266],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[39,15269,15270,15273],{},[42,15271,15272],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[39,15275,15276,15279],{},[42,15277,15278],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[39,15281,15282,15285],{},[42,15283,15284],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[39,15287,15288,15291],{},[42,15289,15290],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[39,15293,15294,15297],{},[42,15295,15296],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[39,15299,15300,15303],{},[42,15301,15302],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[39,15305,15306,15308],{},[42,15307,3768],{},"：UI 英文为主，业务侧用户先培训",[39,15310,15311,15314],{},[42,15312,15313],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[21,15316,575],{"id":574},[36,15318,15319,15322,15325,15328,15331,15334,15337,15340],{},[39,15320,15321],{},"✅ 工程团队要可视化建 LangChain 流",[39,15323,15324],{},"✅ 合规 \u002F 数据驻留要求自托管",[39,15326,15327],{},"✅ 要 Astra DB 一站式 RAG",[39,15329,15330],{},"✅ Python 团队 + 想画布 + 想下钻代码",[39,15332,15333],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[39,15335,15336],{},"❌ 纯无代码偏好",[39,15338,15339],{},"❌ 轻量场景 + 直接写 LangChain 更快",[39,15341,15342],{},"❌ JS 生态优先（用 Flowise）",[21,15344,604],{"id":604},[36,15346,15347,15351,15355],{},[39,15348,15349],{},[610,15350,8499],{"href":8498},[39,15352,15353],{},[610,15354,8505],{"href":8504},[39,15356,15357],{},[610,15358,9326],{"href":8570},[21,15360,628],{"id":628},[630,15362,15363,15370,15377,15384],{},[39,15364,15365,15366],{},"Langflow 官网 + 定价 ",[610,15367,15368],{"href":15368,"rel":15369},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[639],[39,15371,15372,15373],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[610,15374,15375],{"href":15375,"rel":15376},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[639],[39,15378,15379,15380],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[610,15381,15382],{"href":15382,"rel":15383},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[639],[39,15385,15386,15387],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[610,15388,15389],{"href":15389,"rel":15390},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[639],[662,15392,14258],{},{"title":202,"searchDepth":250,"depth":250,"links":15394},[15395,15396,15397,15398,15399,15400,15401,15402,15403,15404],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":14981,"depth":224,"text":14982},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Flangflow.webp","Langflow 真实评测：2023 开源项目，2024 被 DataStax 收购，与 Astra DB 向量数据库平台深度集成。20,000+ GitHub stars、MIT 协议。差异点：拖拽式可视化画布映射 LangChain 原语 + RAG pipeline 原生组件 + 多 agent 工作流 + Python + 自托管（pip \u002F Docker）+ DataStax Astra 托管云 + Pinecone \u002F pgvector \u002F 主流向量库适配。Cloud 免费档 + 约 $25\u002F月起。",[15408,15411,15414,15417],{"q":15409,"a":15410},"Langflow 和 Dify \u002F n8n \u002F Flowise 怎么选？","Langflow 强『可视化 LangChain 原语 + Python 代码可下钻 + 自托管 + Astra DB 集成』，工程导向。Dify 是 LLMOps 全平台（含 dataset \u002F app \u002F observability），业务侧更友好。n8n 是通用 workflow（非 LangChain 中心），70+ LangChain 节点是后加的。Flowise 是 Langflow 的同类竞品（JS 生态）。工程团队 + Python + 合规自托管 → Langflow；业务 + 完整 LLMOps → Dify；通用自动化 → n8n。",{"q":15412,"a":15413},"为什么被 DataStax 收购？","DataStax 是 Cassandra 商业公司 + Astra DB 向量数据库厂商。收购 Langflow 是为了把『可视化 LangChain builder』和『生产级 vector store』捆成一站式 RAG 解决方案。Langflow 主仓仍是 MIT 开源，但 cloud \u002F 企业版深度依赖 Astra。",{"q":15415,"a":15416},"可视化画布会不会限制灵活度？","Langflow 节点对应 LangChain primitive，可在任意节点下钻到 Python 代码 + 自定义。所以可视化层是『脚手架 + 协作工具』，不是『纯无代码黑盒』。复杂逻辑、custom tool、retriever 都能写代码扩展。",{"q":15418,"a":15419},"production readiness 如何？","用户反馈：原型 + 内部工具非常顺；大流量 \u002F 关键业务要自行加 observability \u002F 错误处理 \u002F 缓存。SelectHub 评测列出『稳定性偶发 + 第三方 API 依赖 + 非完全 production-ready』。生产部署建议 Astra-hosted cloud 或自托管 + 加 sentry \u002F langsmith \u002F prometheus。",[697,1345],{},[3367,15423,2861,704],"cloud",[15425,15428,15430,15434],{"plan":14955,"price":707,"features":15426,"notes":15427},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":14961,"price":707,"features":15429,"notes":4432},"DataStax 托管 + 小流量",{"plan":14967,"price":15431,"features":15432,"notes":15433},"~$25\u002F月起","Astra DB + 更高额度 + 更多并发 + 团队协作","按使用量阶梯",{"plan":833,"price":10045,"features":15435,"notes":15436},"SSO + audit + 私有部署 + SLA + 数据驻留","合规 \u002F 大客户","Self-host 完全免费 MIT \u002F Cloud Free + 付费起 ~$25·月（Astra-hosted）",[15439],"onboarding\u002Frag-app-workflow",{"power":257,"ux":264,"price":264,"cn_support":250,"stability":257},{"title":10159,"description":15406},"Langflow 评测 2026：可视化 AI 工作流构建工具，LangChain 低代码平台",[15444,15447,15449,15451],{"name":15445,"url":15446,"accessed":732},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":15448,"url":15375,"accessed":732},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":15450,"url":15382,"accessed":732},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":15452,"url":15389,"accessed":732},"SelectHub — LangFlow Reviews 2026","tools\u002Fagent\u002Fplatform\u002Flangflow","DataStax 出品的可视化 LangChain 画布——MIT 开源 + 20k+ stars + 自托管 + Astra DB 云托管",[745,15456,14855,10423,15457,15068],"visual-builder","datastax","工程团队要可视化建 LangChain 流 + 不被 SaaS 锁住 + 合规要求自托管的最佳选择。要纯无代码 + 业务侧 → Dify \u002F Coze；要纯代码 → 直接写 LangChain \u002F LlamaIndex。","rvh-hO12QKzN5KXHjH_xWXuls1hBO42dYKXttkerPls",{"id":15461,"title":11626,"alternatives":15462,"api_compatible":16,"body":15463,"category":10404,"chinese_friendly":250,"cover":16100,"description":16101,"domestic":680,"extension":681,"faq":16102,"free":680,"github":16,"languages":16115,"lastVerified":16,"meta":16116,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":8498,"pillar":700,"platforms":16117,"priceTable":16118,"pricing":16134,"published":720,"relatedPlaybooks":16135,"relatedReviews":16,"score":16137,"self_host":253,"seo":16138,"seoTitle":16139,"slug":7923,"sources":16140,"stem":16149,"suitable":16,"tagline":16150,"tags":16151,"updated":732,"verdict":16153,"website":16062,"__hash__":16154},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[7922,7924,2162],{"type":18,"value":15464,"toc":16088},[15465,15467,15470,15473,15475,15548,15550,15573,15578,15582,15586,15612,15616,15642,15646,15768,15771,15797,15800,15802,15946,15948,16009,16011,16037,16039,16053,16055,16085],[21,15466,24],{"id":23},[26,15468,15469],{},"n8n 是 2019 创立、Sustainable Use License（fair-code）的开源自动化平台。2026 突破 200,000 active users、5x ARR 增长、5,800+ 社区 AI workflow。差异点：近 70 个 LangChain 专属节点 + 原生 MCP 协议 + AI Agent 节点（reasoning loop + 工具调用）+ Ollama \u002F OpenAI 双路 + 400+ 集成 + execution-based 定价（步骤数无关）+ 自托管 VPS $5-10\u002F月跑全套。",[26,15471,15472],{},"适合：开发者 + 想完全控制 + 高量级自动化；从 Zapier \u002F Make 迁出降本；要 AI Agent + LangChain + MCP 一体；合规 \u002F 自托管 \u002F 数据驻留要求。不适合：非技术 + 要 8000+ 现成集成（用 Zapier）；中等复杂 + 不愿自托管（用 Make）；纯研究 \u002F 学术 agent（用 OpenManus \u002F Langflow）。",[21,15474,34],{"id":34},[36,15476,15477,15483,15489,15494,15500,15506,15512,15518,15524,15530,15536,15542],{},[39,15478,15479,15482],{},[42,15480,15481],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[39,15484,15485,15488],{},[42,15486,15487],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[39,15490,15491,15493],{},[42,15492,1067],{},"：MCP server 一键挂载到 agent",[39,15495,15496,15499],{},[42,15497,15498],{},"Ollama 集成","：本地 LLM 零 API 成本",[39,15501,15502,15505],{},[42,15503,15504],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[39,15507,15508,15511],{},[42,15509,15510],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[39,15513,15514,15517],{},[42,15515,15516],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[39,15519,15520,15523],{},[42,15521,15522],{},"多分支并行 + 错误处理","：production workflow 必备",[39,15525,15526,15529],{},[42,15527,15528],{},"版本控制 + Git Sync","：workflow as code",[39,15531,15532,15535],{},[42,15533,15534],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[39,15537,15538,15541],{},[42,15539,15540],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[39,15543,15544,15547],{},[42,15545,15546],{},"5800+ 社区 workflow","：clone 即用",[21,15549,108],{"id":108},[36,15551,15552,15558,15563,15568],{},[39,15553,15554,15557],{},[42,15555,15556],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[39,15559,15560,15562],{},[42,15561,14440],{},"：~€20\u002F月；2,500 executions + 5 workflow",[39,15564,15565,15567],{},[42,15566,14451],{},"：~€50\u002F月；高 executions + 团队协作",[39,15569,15570,15572],{},[42,15571,833],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[130,15574,15575],{},[26,15576,15577],{},"真实场景：Zapier $50\u002F月跑中等复杂 → n8n 自托管 $5\u002F月跑同样的 = 10x 降本。",[21,15579,15581],{"id":15580},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[26,15583,15584],{},[42,15585,143],{},[36,15587,15588,15591,15594,15597,15600,15603,15606,15609],{},[39,15589,15590],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[39,15592,15593],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[39,15595,15596],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[39,15598,15599],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[39,15601,15602],{},"5800+ 社区 workflow 节省 80% 上手时间",[39,15604,15605],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[39,15607,15608],{},"升级 Docker tag 一行，无 vendor 升级费",[39,15610,15611],{},"中文社区 \u002F B 站教程丰富",[26,15613,15614],{},[42,15615,168],{},[36,15617,15618,15621,15624,15627,15630,15633,15636,15639],{},[39,15619,15620],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[39,15622,15623],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[39,15625,15626],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[39,15628,15629],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[39,15631,15632],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[39,15634,15635],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[39,15637,15638],{},"Webhook 公网暴露要加 IP 白名单 + secret",[39,15640,15641],{},"Worker 模式才能并发，单进程吞吐有限",[21,15643,15645],{"id":15644},"上手docker-5-分钟","上手（Docker 5 分钟）",[197,15647,15649],{"className":199,"code":15648,"language":201,"meta":202,"style":202},"# 持久化目录\nmkdir -p ~\u002Fn8n-data\n\n# 启动\ndocker run -d \\\n  --name n8n \\\n  -p 5678:5678 \\\n  -e N8N_BASIC_AUTH_ACTIVE=true \\\n  -e N8N_BASIC_AUTH_USER=admin \\\n  -e N8N_BASIC_AUTH_PASSWORD=yourpassword \\\n  -v ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n \\\n  --restart always \\\n  n8nio\u002Fn8n\n\n# http:\u002F\u002Flocalhost:5678\n",[204,15650,15651,15656,15666,15670,15674,15684,15694,15704,15717,15726,15735,15744,15754,15759,15763],{"__ignoreMap":202},[207,15652,15653],{"class":209,"line":210},[207,15654,15655],{"class":260},"# 持久化目录\n",[207,15657,15658,15661,15663],{"class":209,"line":224},[207,15659,15660],{"class":213},"mkdir",[207,15662,15091],{"class":227},[207,15664,15665],{"class":217}," ~\u002Fn8n-data\n",[207,15667,15668],{"class":209,"line":250},[207,15669,254],{"emptyLinePlaceholder":253},[207,15671,15672],{"class":209,"line":257},[207,15673,1672],{"class":260},[207,15675,15676,15678,15680,15682],{"class":209,"line":264},[207,15677,2861],{"class":213},[207,15679,2864],{"class":217},[207,15681,2867],{"class":227},[207,15683,341],{"class":227},[207,15685,15686,15689,15692],{"class":209,"line":276},[207,15687,15688],{"class":227},"  --name",[207,15690,15691],{"class":217}," n8n",[207,15693,341],{"class":227},[207,15695,15696,15699,15702],{"class":209,"line":281},[207,15697,15698],{"class":227},"  -p",[207,15700,15701],{"class":217}," 5678:5678",[207,15703,341],{"class":227},[207,15705,15706,15709,15712,15715],{"class":209,"line":287},[207,15707,15708],{"class":227},"  -e",[207,15710,15711],{"class":217}," N8N_BASIC_AUTH_ACTIVE=",[207,15713,15714],{"class":227},"true",[207,15716,341],{"class":227},[207,15718,15719,15721,15724],{"class":209,"line":321},[207,15720,15708],{"class":227},[207,15722,15723],{"class":217}," N8N_BASIC_AUTH_USER=admin",[207,15725,341],{"class":227},[207,15727,15728,15730,15733],{"class":209,"line":326},[207,15729,15708],{"class":227},[207,15731,15732],{"class":217}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[207,15734,341],{"class":227},[207,15736,15737,15739,15742],{"class":209,"line":332},[207,15738,2880],{"class":227},[207,15740,15741],{"class":217}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[207,15743,341],{"class":227},[207,15745,15746,15749,15752],{"class":209,"line":344},[207,15747,15748],{"class":227},"  --restart",[207,15750,15751],{"class":217}," always",[207,15753,341],{"class":227},[207,15755,15756],{"class":209,"line":355},[207,15757,15758],{"class":217},"  n8nio\u002Fn8n\n",[207,15760,15761],{"class":209,"line":1669},[207,15762,254],{"emptyLinePlaceholder":253},[207,15764,15765],{"class":209,"line":1675},[207,15766,15767],{"class":260},"# http:\u002F\u002Flocalhost:5678\n",[26,15769,15770],{},"连 Ollama：",[197,15772,15774],{"className":199,"code":15773,"language":201,"meta":202,"style":202},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[204,15775,15776,15783,15792],{"__ignoreMap":202},[207,15777,15778,15780],{"class":209,"line":210},[207,15779,2985],{"class":213},[207,15781,15782],{"class":217}," serve\n",[207,15784,15785,15787,15789],{"class":209,"line":224},[207,15786,2985],{"class":213},[207,15788,2988],{"class":217},[207,15790,15791],{"class":217}," llama3.2\n",[207,15793,15794],{"class":209,"line":250},[207,15795,15796],{"class":260},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[26,15798,15799],{},"试 workflow：Webhook 触发 → AI Agent 节点（Ollama）→ Slack 通知。复制粘贴一个社区 workflow 30 分钟跑通完整 AI 自动化。",[21,15801,364],{"id":364},[366,15803,15804,15820],{},[369,15805,15806],{},[372,15807,15808,15810,15812,15815,15818],{},[375,15809,377],{},[375,15811,11626],{},[375,15813,15814],{},"Zapier",[375,15816,15817],{},"Make",[375,15819,10159],{},[390,15821,15822,15835,15847,15864,15876,15890,15902,15915,15930],{},[372,15823,15824,15826,15829,15831,15833],{},[395,15825,414],{},[395,15827,15828],{},"✅ fair-code",[395,15830,426],{},[395,15832,426],{},[395,15834,423],{},[372,15836,15837,15839,15841,15843,15845],{},[395,15838,7433],{},[395,15840,1070],{},[395,15842,426],{},[395,15844,426],{},[395,15846,1100],{},[372,15848,15849,15852,15855,15858,15861],{},[395,15850,15851],{},"集成数",[395,15853,15854],{},"400+",[395,15856,15857],{},"8000+",[395,15859,15860],{},"2000+",[395,15862,15863],{},"LangChain 原语",[372,15865,15866,15868,15870,15872,15874],{},[395,15867,6591],{},[395,15869,1070],{},[395,15871,440],{},[395,15873,440],{},[395,15875,1100],{},[372,15877,15878,15881,15884,15886,15888],{},[395,15879,15880],{},"LangChain 节点",[395,15882,15883],{},"✅ 70 个",[395,15885,426],{},[395,15887,426],{},[395,15889,473],{},[372,15891,15892,15894,15896,15898,15900],{},[395,15893,1850],{},[395,15895,473],{},[395,15897,426],{},[395,15899,426],{},[395,15901,440],{},[372,15903,15904,15907,15909,15911,15913],{},[395,15905,15906],{},"Local LLM",[395,15908,2428],{},[395,15910,426],{},[395,15912,426],{},[395,15914,1100],{},[372,15916,15917,15919,15922,15925,15928],{},[395,15918,1152],{},[395,15920,15921],{},"$0 自托管",[395,15923,15924],{},"$29.99\u002F月",[395,15926,15927],{},"$9\u002F月",[395,15929,15921],{},[372,15931,15932,15934,15937,15940,15943],{},[395,15933,506],{},[395,15935,15936],{},"开发者 + 高量级",[395,15938,15939],{},"非技术 + 简单",[395,15941,15942],{},"中等复杂",[395,15944,15945],{},"LangChain 工程",[21,15947,521],{"id":521},[36,15949,15950,15956,15962,15968,15974,15980,15986,15992,15998,16003],{},[39,15951,15952,15955],{},[42,15953,15954],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[39,15957,15958,15961],{},[42,15959,15960],{},"Worker 模式","：高并发要起 worker container 才能并行",[39,15963,15964,15967],{},[42,15965,15966],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[39,15969,15970,15973],{},[42,15971,15972],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[39,15975,15976,15979],{},[42,15977,15978],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[39,15981,15982,15985],{},[42,15983,15984],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[39,15987,15988,15991],{},[42,15989,15990],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[39,15993,15994,15997],{},[42,15995,15996],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[39,15999,16000,16002],{},[42,16001,15546],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[39,16004,16005,16008],{},[42,16006,16007],{},"monitoring","：生产部署加 prometheus + 错误告警",[21,16010,575],{"id":574},[36,16012,16013,16016,16019,16022,16025,16028,16031,16034],{},[39,16014,16015],{},"✅ 开发者 + 完全控制 + 高量级自动化",[39,16017,16018],{},"✅ 从 Zapier \u002F Make 迁出降本",[39,16020,16021],{},"✅ AI Agent + LangChain + MCP 一体",[39,16023,16024],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[39,16026,16027],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[39,16029,16030],{},"❌ 完全不愿自托管 + 不想付 Cloud",[39,16032,16033],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[39,16035,16036],{},"❌ 极简 2-step 自动化（Zapier 更快）",[21,16038,604],{"id":604},[36,16040,16041,16045,16049],{},[39,16042,16043],{},[610,16044,8493],{"href":8492},[39,16046,16047],{},[610,16048,8505],{"href":8504},[39,16050,16051],{},[610,16052,9326],{"href":8570},[21,16054,628],{"id":628},[630,16056,16057,16064,16071,16078],{},[39,16058,16059,16060],{},"n8n 官网 ",[610,16061,16062],{"href":16062,"rel":16063},"https:\u002F\u002Fn8n.io",[639],[39,16065,16066,16067],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[610,16068,16069],{"href":16069,"rel":16070},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[639],[39,16072,16073,16074],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[610,16075,16076],{"href":16076,"rel":16077},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[639],[39,16079,16080,16081],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[610,16082,16083],{"href":16083,"rel":16084},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[639],[662,16086,16087],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":16089},[16090,16091,16092,16093,16094,16095,16096,16097,16098,16099],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":15580,"depth":224,"text":15581},{"id":15644,"depth":224,"text":15645},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fn8n.webp","n8n 2026 真实评测：开源自托管自动化平台和 AI Agent 工作流工具，支持 LangChain 节点、MCP、Ollama、OpenAI、Webhook、400+ 集成和 execution-based 定价。本文对比 Zapier、Make、Dify，整理自托管成本、适合场景和避坑建议。",[16103,16106,16109,16112],{"q":16104,"a":16105},"n8n 和 Zapier \u002F Make 怎么选？","Zapier 8000+ 集成 + 最易上手 + 非技术团队最爱，但 $29.99\u002F月才 750 tasks + 每步独立计费 = 量大成本爆炸。Make 视觉画布 + 并行分支 + 2000+ 集成 + 智能打包步骤（10k ops $29\u002F月），中等复杂最佳性价比。n8n 开源 + 自托管 + execution-based（步骤数无关）+ 70 LangChain 节点 + MCP 原生，开发者 + 高量级 + 完全控制首选。模式：从 Zapier \u002F Make 起步 → 撞墙 → 迁 n8n。",{"q":16107,"a":16108},"AI Agent 节点是什么？","n8n 2026 加的特殊节点：运行 reasoning loop，从连接的工具节点中自主挑选并调用，直到有答案。和传统线性节点的『按顺序执行预定动作』不同，AI Agent 引入了 LLM 决策。可挂接近 70 LangChain 节点 \u002F MCP server \u002F 任意 HTTP API。让 n8n 从『纯自动化』升级为『真正的 AI agent 平台』。",{"q":16110,"a":16111},"Sustainable Use License 是什么协议？","n8n 用的 fair-code 协议（非传统 OSI 开源）。允许内部使用 + 自托管 + 修改源码，但限制把 n8n 作为 SaaS 转售（与 n8n 商业版直接竞争）。对自用 \u002F 内部工具 \u002F 普通自托管 100% 免费。要做 n8n competitor \u002F 商业 SaaS 才需要谈授权。",{"q":16113,"a":16114},"自托管成本和门槛？","最小：$5-10\u002F月 VPS（DigitalOcean \u002F Hetzner \u002F Linode）+ Docker 一行起。Postgres 持久化 + Redis 队列（高吞吐）+ Worker 节点（水平扩展）。10 分钟内能跑通最小版本。中文社区 \u002F B 站 \u002F 知乎 有大量中文教程。比 Langflow \u002F Dify 上手快。",[697,1345],{},[3367,15423,2861,704],[16119,16123,16127,16131],{"plan":16120,"price":707,"features":16121,"notes":16122},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":14440,"price":16124,"features":16125,"notes":16126},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":14451,"price":16128,"features":16129,"notes":16130},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":833,"price":10045,"features":16132,"notes":16133},"SSO + audit + LDAP + 私有部署 + SLA","大客户","Self-host 免费 \u002F Cloud Starter ~€20·月 (2.5k executions) \u002F Pro \u002F Business \u002F Enterprise 阶梯",[16136],"onboarding\u002Fn8n-ollama-automation",{"power":264,"ux":257,"price":264,"cn_support":250,"stability":264},{"title":11626,"description":16101},"n8n 评测 2026：开源自托管自动化平台，AI Agent 工作流首选",[16141,16143,16145,16147],{"name":16142,"url":16062,"accessed":732},"n8n 官网",{"name":16144,"url":16069,"accessed":732},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":16146,"url":16076,"accessed":732},"Tutorials Technology — n8n + AI on Linux 2026",{"name":16148,"url":16083,"accessed":732},"Northflank — n8n Self-host Pricing 2026","tools\u002Fagent\u002Fplatform\u002Fn8n","自托管自动化平台：200k+ 用户 + 70 LangChain 节点 + MCP 原生 + Ollama 集成",[745,11777,16152,14855,1392,3367,11626],"automation","Zapier \u002F Make 的开源替代——20 步工作流和 2 步成本一样（自托管）。AI Agent + LangChain 节点让它在 2026 成为开发者首选自动化平台。要 8000+ 现成集成 + 极简上手用 Zapier；要中等复杂 + 不自托管用 Make。","Y5uedkjOvG7WLZTjkH2_rw8c5QipFprpPc7QrzBLivw",{"id":16156,"title":9885,"alternatives":16157,"api_compatible":16,"body":16158,"category":10404,"chinese_friendly":257,"cover":16633,"description":16634,"domestic":680,"extension":681,"faq":16,"free":680,"github":16618,"languages":16635,"lastVerified":2637,"meta":16636,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":16637,"pillar":700,"platforms":16638,"priceTable":16,"pricing":14843,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":16639,"self_host":680,"seo":16640,"seoTitle":16641,"slug":16642,"sources":16643,"stem":16646,"suitable":16,"tagline":16647,"tags":16648,"updated":2637,"verdict":16650,"website":16612,"__hash__":16651},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fragflow.md",[5776,9936,10415],{"type":18,"value":16159,"toc":16620},[16160,16162,16165,16168,16170,16222,16224,16265,16269,16271,16277,16297,16301,16324,16326,16355,16357,16480,16482,16530,16532,16564,16566,16572,16578,16584,16590,16592,16600,16602,16606],[21,16161,24],{"id":23},[26,16163,16164],{},"RAGFlow 是 InfiniFlow（中国团队）出品的开源 RAG 引擎（Apache 2.0），核心卖点是深度文档解析 + 高召回率切片 + 引用溯源。支持 PDF \u002F Word \u002F Excel \u002F PPT \u002F 图片 \u002F 扫描件，内置 OCR + 版面分析 + 表格识别，切片质量远超通用 RAG 方案。Docker 自托管 + Cloud 云端，中文支持好（文档 \u002F UI \u002F 社区）。",[26,16166,16167],{},"适合：需要精准文档问答的企业知识库、复杂文档（表格 \u002F 图文 \u002F 扫描件）场景、中文 RAG 需求、对召回率要求高的业务。不适合：需要复杂 Agent 编排（用 Dify）、资源有限的小服务器、需要精美 UI 的 C 端产品。",[21,16169,34],{"id":34},[36,16171,16172,16178,16184,16190,16196,16201,16206,16211,16217],{},[39,16173,16174,16177],{},[42,16175,16176],{},"深度文档解析","：PDF \u002F Word \u002F Excel \u002F PPT \u002F 图片 \u002F 扫描件，版面分析 + 表格识别",[39,16179,16180,16183],{},[42,16181,16182],{},"OCR 引擎","：内置 PaddleOCR \u002F DeepDOC，支持中英文扫描件识别",[39,16185,16186,16189],{},[42,16187,16188],{},"智能切片","：基于版面分析的语义切片，保留段落 \u002F 表格 \u002F 标题结构",[39,16191,16192,16195],{},[42,16193,16194],{},"高召回率","：混合检索（全文 + 向量）+ 重排序（Rerank），召回精度高",[39,16197,16198,16200],{},[42,16199,9475],{},"：回答标注来源文档 + 页码 + 原文片段，可验证",[39,16202,16203,16205],{},[42,16204,14398],{},"：OpenAI \u002F Claude \u002F Ollama \u002F 通义千问 \u002F 智谱 \u002F 月之暗面",[39,16207,16208,16210],{},[42,16209,9978],{},"：Elasticsearch \u002F Infinity（自研）\u002F Chroma",[39,16212,16213,16216],{},[42,16214,16215],{},"知识库管理","：多知识库 + 文档分类 + 解析状态监控",[39,16218,16219,16221],{},[42,16220,9516],{},"：完整 REST API + SDK，可集成到外部系统",[21,16223,108],{"id":108},[366,16225,16226,16236],{},[369,16227,16228],{},[372,16229,16230,16232,16234],{},[375,16231,9528],{},[375,16233,108],{},[375,16235,9533],{},[390,16237,16238,16246,16256],{},[372,16239,16240,16242,16244],{},[395,16241,5722],{},[395,16243,707],{},[395,16245,14435],{},[372,16247,16248,16250,16253],{},[395,16249,10032],{},[395,16251,16252],{},"按量付费",[395,16254,16255],{},"托管服务，免运维",[372,16257,16258,16260,16262],{},[395,16259,833],{},[395,16261,10045],{},[395,16263,16264],{},"私有部署 + 技术支持 + 定制",[130,16266,16267],{},[26,16268,9569],{},[21,16270,2241],{"id":2240},[130,16272,16273],{},[26,16274,2246,16275],{},[42,16276,143],{},[36,16278,16279,16282,16285,16288,16291,16294],{},[39,16280,16281],{},"文档解析质量在开源 RAG 中最强——复杂表格、多栏排版、图文混排都能正确识别",[39,16283,16284],{},"扫描件 OCR 效果好，中文印刷体识别准确率高",[39,16286,16287],{},"引用溯源到页码 + 原文片段，回答可信度高",[39,16289,16290],{},"混合检索 + Rerank 召回精度明显优于纯向量检索",[39,16292,16293],{},"中国团队出品，中文文档和社区支持好，Issue 响应快",[39,16295,16296],{},"支持通义千问 \u002F 智谱 \u002F 月之暗面等国产模型，国内场景适配好",[26,16298,16299],{},[42,16300,168],{},[36,16302,16303,16306,16309,16312,16315,16318,16321],{},[39,16304,16305],{},"资源消耗大——Elasticsearch + Redis + MinIO + RAGFlow 本身，至少 16GB 内存",[39,16307,16308],{},"部署较重，Docker Compose 起来 5+ 容器，配置复杂",[39,16310,16311],{},"大文件解析慢——100 页 PDF 解析 + 切片可能 5-10 分钟",[39,16313,16314],{},"UI 仍有粗糙处，文档管理界面交互不够流畅",[39,16316,16317],{},"Agent 能力弱——RAG 问答是强项，复杂工具调用 \u002F 多步推理不如 Dify",[39,16319,16320],{},"解析失败的重试机制不完善，偶尔卡在 parsing 状态",[39,16322,16323],{},"版本迭代快，升级需注意数据迁移",[21,16325,936],{"id":936},[630,16327,16328,16331,16337,16343,16349,16352],{},[39,16329,16330],{},"系统准备：确保 16GB+ 内存 + Docker + Docker Compose",[39,16332,16333,16334],{},"克隆仓库：",[204,16335,16336],{},"git clone https:\u002F\u002Fgithub.com\u002Finfiniflow\u002Fragflow.git",[39,16338,16339,16340],{},"启动服务：",[204,16341,16342],{},"cd ragflow\u002Fdocker && docker compose up -d",[39,16344,9628,16345,16348],{},[204,16346,16347],{},"http:\u002F\u002Flocalhost:80","，注册管理员账号",[39,16350,16351],{},"配置模型：Settings → Model Providers 添加 LLM + Embedding + Rerank",[39,16353,16354],{},"创建知识库 → 上传文档 → 等待解析完成 → 开始问答",[21,16356,364],{"id":364},[366,16358,16359,16373],{},[369,16360,16361],{},[372,16362,16363,16365,16367,16369,16371],{},[375,16364,377],{},[375,16366,9885],{},[375,16368,10153],{},[375,16370,10156],{},[375,16372,9881],{},[390,16374,16375,16389,16402,16416,16429,16442,16454,16466],{},[372,16376,16377,16380,16383,16385,16387],{},[395,16378,16379],{},"文档解析",[395,16381,16382],{},"✅ 最强",[395,16384,2458],{},[395,16386,10213],{},[395,16388,443],{},[372,16390,16391,16394,16396,16398,16400],{},[395,16392,16393],{},"表格识别",[395,16395,1100],{},[395,16397,426],{},[395,16399,1100],{},[395,16401,426],{},[372,16403,16404,16407,16409,16411,16414],{},[395,16405,16406],{},"OCR",[395,16408,12077],{},[395,16410,426],{},[395,16412,16413],{},"需配置",[395,16415,16413],{},[372,16417,16418,16421,16423,16425,16427],{},[395,16419,16420],{},"召回精度",[395,16422,2461],{},[395,16424,2461],{},[395,16426,2461],{},[395,16428,2458],{},[372,16430,16431,16433,16436,16438,16440],{},[395,16432,9475],{},[395,16434,16435],{},"✅ 页码+片段",[395,16437,1100],{},[395,16439,1100],{},[395,16441,1100],{},[372,16443,16444,16446,16448,16450,16452],{},[395,16445,9990],{},[395,16447,443],{},[395,16449,10213],{},[395,16451,2458],{},[395,16453,10210],{},[372,16455,16456,16458,16460,16462,16464],{},[395,16457,5434],{},[395,16459,2461],{},[395,16461,2458],{},[395,16463,2458],{},[395,16465,10650],{},[372,16467,16468,16471,16474,16476,16478],{},[395,16469,16470],{},"中文支持",[395,16472,16473],{},"✅ 优秀",[395,16475,9710],{},[395,16477,9710],{},[395,16479,1815],{},[21,16481,521],{"id":521},[36,16483,16484,16490,16500,16506,16512,16518,16524],{},[39,16485,16486,16489],{},[42,16487,16488],{},"资源一定要够","：低于 16GB 内存别部署，ES + Redis + MinIO 都吃内存",[39,16491,16492,16495,16496,16499],{},[42,16493,16494],{},"Elasticsearch 配置","：默认 JVM 堆偏小，大知识库调 ",[204,16497,16498],{},"ES_JAVA_OPTS"," 到 4-8GB",[39,16501,16502,16505],{},[42,16503,16504],{},"大文件拆分上传","：超过 100 页的 PDF 拆成小文件，解析更稳定",[39,16507,16508,16511],{},[42,16509,16510],{},"解析失败检查格式","：加密 PDF \u002F 损坏文件会卡住，上传前检查",[39,16513,16514,16517],{},[42,16515,16516],{},"Rerank 模型别省","：召回精度提升的关键，用 bge-reranker 或 Cohere Rerank",[39,16519,16520,16523],{},[42,16521,16522],{},"不要当 Agent 平台用","：RAG 问答是核心，复杂工具调用上 Dify",[39,16525,16526,16529],{},[42,16527,16528],{},"定期备份","：ES 数据 + MinIO 文件，升级前完整快照",[21,16531,575],{"id":574},[36,16533,16534,16537,16540,16543,16546,16549,16552,16555,16558,16561],{},[39,16535,16536],{},"✅ 需要精准文档问答的企业知识库",[39,16538,16539],{},"✅ 复杂文档（表格 \u002F 图文 \u002F 扫描件）RAG 场景",[39,16541,16542],{},"✅ 中文 RAG 需求（国产模型 + 中文 OCR）",[39,16544,16545],{},"✅ 对召回率和引用溯源要求高的业务",[39,16547,16548],{},"✅ 有运维能力的团队私有化部署",[39,16550,16551],{},"❌ 需要复杂 Agent 编排（用 Dify）",[39,16553,16554],{},"❌ 资源有限的小服务器（至少 16GB 内存）",[39,16556,16557],{},"❌ 需要精美 C 端 UI 的产品",[39,16559,16560],{},"❌ 无运维能力的团队（用 Cloud 版或 FastGPT）",[39,16562,16563],{},"❌ 纯英文简单文档场景（AnythingLLM 更轻量）",[21,16565,2552],{"id":2551},[26,16567,16568,16571],{},[42,16569,16570],{},"Q: RAGFlow 和 Dify 怎么选？","\nA: RAGFlow 专注 RAG——文档解析 + 检索精度 + 引用溯源是核心强项，适合文档密集型知识库。Dify 是完整 AI 应用平台——工作流 + Agent + RAG + API 管理，功能更全。纯文档问答选 RAGFlow，构建 AI 应用选 Dify，两者也可配合使用。",[26,16573,16574,16577],{},[42,16575,16576],{},"Q: 部署需要什么配置？","\nA: 最低 16GB 内存 + 4 核 CPU + 50GB 磁盘。生产环境建议 32GB 内存 + 8 核 + SSD。Elasticsearch 是内存大户，知识库文档量大时 ES JVM 堆需 8GB+。如果资源有限，考虑用 Infinity（RAGFlow 自研向量库）替代 ES。",[26,16579,16580,16583],{},[42,16581,16582],{},"Q: 支持中文 OCR 吗？","\nA: 支持。内置 PaddleOCR + DeepDOC 引擎，中文印刷体识别准确率高。手写体效果一般，复杂背景的扫描件建议预处理（去噪 \u002F 矫正）后再上传。OCR 默认开启，可在解析模板中配置。",[26,16585,16586,16589],{},[42,16587,16588],{},"Q: 和 FastGPT 比 RAG 精度如何？","\nA: 两者 RAG 精度都属第一梯队。RAGFlow 的优势在文档解析——复杂表格、多栏版面、图文混排的识别更准确，切片质量更高。FastGPT 的优势在工作流编排和知识库管理 UI 更成熟。文档解析要求高选 RAGFlow，流程管理要求高选 FastGPT。",[21,16591,604],{"id":604},[26,16593,16594,2589,16596,2589,16598],{},[610,16595,9881],{"href":9880},[610,16597,10367],{"href":10366},[610,16599,10863],{"href":10862},[21,16601,628],{"id":628},[130,16603,16604],{},[26,16605,2604],{},[36,16607,16608,16614],{},[39,16609,16610],{},[610,16611,2613],{"href":16612,"rel":16613},"https:\u002F\u002Fragflow.io",[639],[39,16615,16616],{},[610,16617,2620],{"href":16618,"rel":16619},"https:\u002F\u002Fgithub.com\u002Finfiniflow\u002Fragflow",[639],{"title":202,"searchDepth":250,"depth":250,"links":16621},[16622,16623,16624,16625,16626,16627,16628,16629,16630,16631,16632],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fragflow.webp","RAGFlow 真实评测：InfiniFlow 出品的开源 RAG 引擎（Apache 2.0 协议），深度文档解析（PDF\u002FWord\u002FExcel\u002F图片）+ 高召回率切片 + 引用溯源。支持 Docker 自托管，适合需要精准文档问答和知识库检索的企业场景。",[697,696],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fragflow",[1350,2861],{"power":257,"ux":250,"price":264,"cn_support":257,"stability":250},{"title":9885,"description":16634},"RAGFlow - 开源 RAG 引擎评测与部署 | AIHO","agent\u002Fplatform\u002Fragflow",[16644,16645],{"title":2613,"url":16612},{"title":2620,"url":16618},"tools\u002Fagent\u002Fplatform\u002Fragflow","开源 RAG 引擎，深度文档解析 + 高召回率",[10422,745,10423,16649,3367],"document-parsing","需要精准文档解析和高召回率 RAG 的企业场景首选，深度文档解析（复杂表格\u002F版面\u002FOCR）+ 引用溯源能力在开源 RAG 引擎中最强，中国团队出品中文支持好，但部署资源要求高、Agent 能力弱、UI 仍需打磨。","bLpjRG4MMrBFYyeFSz4XzLMwVql0SyGD3sB3Tr5g38g",{"id":16653,"title":16654,"alternatives":16655,"api_compatible":16,"body":16656,"category":10404,"chinese_friendly":264,"cover":17136,"description":17137,"domestic":680,"extension":681,"faq":17138,"free":680,"github":16,"languages":17151,"lastVerified":16,"meta":17152,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":17153,"pillar":700,"platforms":17154,"priceTable":17158,"pricing":17170,"published":720,"relatedPlaybooks":17171,"relatedReviews":16,"score":17173,"self_host":680,"seo":17174,"seoTitle":17175,"slug":10922,"sources":17176,"stem":17185,"suitable":16,"tagline":17186,"tags":17187,"updated":732,"verdict":17193,"website":17101,"__hash__":17194},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi.md","腾讯元器",[7922,7923,7924],{"type":18,"value":16657,"toc":17124},[16658,16660,16663,16666,16668,16742,16744,16763,16768,16772,16776,16802,16806,16832,16836,16859,16861,16991,16993,17048,17050,17076,17078,17092,17094],[21,16659,24],{"id":23},[26,16661,16662],{},"腾讯元器（yuanqi.tencent.com）是腾讯官方零代码智能体平台，2024 推出、2026-01 完成系统升级。差异点：『人人可用、零代码、零基础』+ 公众号扫码一键授权（历史群发文章 → 智能体知识库）+ 深度整合 LLM + RAG + 工作流 + 多 Agent 协作 + 一键发布到微信客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝 + 打通微信支付 MCP 闭环 + 智能体广场 \u002F 模板 \u002F 插件广场 + 混元 + DeepSeek 双底座。",[26,16664,16665],{},"适合：微信公众号博主 \u002F 国内自媒体 + 想做粉丝 7×24 问答；政企客服 \u002F 政务 \u002F 民生场景；电商品牌 + 微信生态 + 微信支付闭环；非技术运营人员 + 零代码上手。不适合：海外用户 \u002F 跨平台分发（用 Coze 海外版 \u002F Dify）；需要自托管 \u002F 数据零云（用 Dify）；纯通用 reasoning \u002F 学术 agent；要深度 API + 工程化（用 Langflow \u002F LangChain）。",[21,16667,34],{"id":34},[36,16669,16670,16676,16682,16688,16694,16700,16706,16712,16718,16724,16730,16736],{},[39,16671,16672,16675],{},[42,16673,16674],{},"公众号一键授权","：扫码绑定 → 历史文章变知识库",[39,16677,16678,16681],{},[42,16679,16680],{},"零代码创建","：自然语言描述 → 智能体 + 工作流",[39,16683,16684,16687],{},[42,16685,16686],{},"混元 + DeepSeek 双底座","：选模型 + 备案合规",[39,16689,16690,16693],{},[42,16691,16692],{},"知识库 RAG","：文章 \u002F PDF \u002F 网页 \u002F 自定义文本",[39,16695,16696,16699],{},[42,16697,16698],{},"工作流引擎","：可视化编排多步执行",[39,16701,16702,16705],{},[42,16703,16704],{},"多 Agent 协作","：子 agent 调子 agent 完成复杂任务",[39,16707,16708,16711],{},[42,16709,16710],{},"插件广场","：搜索 \u002F 天气 \u002F 翻译 \u002F 图片生成等",[39,16713,16714,16717],{},[42,16715,16716],{},"智能体广场 \u002F 模板","：clone 业内成熟智能体",[39,16719,16720,16723],{},[42,16721,16722],{},"全微信生态发布","：客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝",[39,16725,16726,16729],{},[42,16727,16728],{},"微信支付 MCP","：智能体可直接发起支付闭环",[39,16731,16732,16735],{},[42,16733,16734],{},"企业版能力","：私有部署 + SSO + 定制",[39,16737,16738,16741],{},[42,16739,16740],{},"小助手 \u002F 客服助手 \u002F IP 分身 \u002F 角色陪聊","等内置场景",[21,16743,108],{"id":108},[36,16745,16746,16752,16757],{},[39,16747,16748,16751],{},[42,16749,16750],{},"免费创建","：¥0；创建智能体 + 公众号绑定 + 知识库 + 工作流",[39,16753,16754,16756],{},[42,16755,16252],{},"：混元 \u002F DeepSeek token + 知识库检索 + 工作流执行 + 插件调用按次数",[39,16758,16759,16762],{},[42,16760,16761],{},"企业级方案","：联系商务；私有部署 + SSO + 定制 + SLA",[130,16764,16765],{},[26,16766,16767],{},"实际成本：个人公众号博主一月几十块 token 钱足够跑数千次 7×24 问答；企业客服需求要走商务报价。",[21,16769,16771],{"id":16770},"实测公众号自媒体-政企客服","实测（公众号自媒体 + 政企客服）",[26,16773,16774],{},[42,16775,143],{},[36,16777,16778,16781,16784,16787,16790,16793,16796,16799],{},[39,16779,16780],{},"公众号扫码授权 + 历史文章入库自动化程度极高，5 分钟跑通",[39,16782,16783],{},"混元 + DeepSeek 中文效果好 + 国内备案合规",[39,16785,16786],{},"微信生态全链路：粉丝问 → 智能体答 → 推荐产品 → 微信支付 闭环",[39,16788,16789],{},"智能体广场可看到童爸育儿（2000+ 篇文章库）\u002F 飞哥律界 等真实案例",[39,16791,16792],{},"政务 \u002F 央企（钦州政务 \u002F 中国石化『小石头』）有正式落地",[39,16794,16795],{},"多 Agent 协作架构让复杂业务场景可拆分",[39,16797,16798],{},"零代码运营人员可独立完成，不依赖技术",[39,16800,16801],{},"智能体模板让冷启动快 10x",[26,16803,16804],{},[42,16805,168],{},[36,16807,16808,16811,16814,16817,16820,16823,16826,16829],{},[39,16809,16810],{},"新旧版双底层，旧版用户迁移有摩擦",[39,16812,16813],{},"海外用户访问受限，跨海外业务用不上",[39,16815,16816],{},"工作流编排能力不如 Dify \u002F Coze 强（少高级控制流）",[39,16818,16819],{},"多 Agent 编排 UI 学习曲线",[39,16821,16822],{},"知识库切片粒度自定义有限",[39,16824,16825],{},"国产模型 reasoning 能力比 GPT-5 \u002F Claude 仍有差距",[39,16827,16828],{},"自托管 \u002F 数据私有化不可行（除非企业版私有部署）",[39,16830,16831],{},"海外大模型接入限制（混元 \u002F DeepSeek 为主）",[21,16833,16835],{"id":16834},"上手公众号博主-5-分钟","上手（公众号博主 5 分钟）",[630,16837,16838,16841,16844,16847,16850,16853,16856],{},[39,16839,16840],{},"yuanqi.tencent.com → 微信扫码登录",[39,16842,16843],{},"新建智能体 → 名字 + 头像 + 描述",[39,16845,16846],{},"知识库 → 绑定公众号 → 扫码授权 → 等历史文章入库（几分钟）",[39,16848,16849],{},"角色设定 → 例：『你是 X 公众号官方助手，基于知识库回答问题』",[39,16851,16852],{},"测试对话 → 验证答案命中文章",[39,16854,16855],{},"发布 → 选择渠道（公众号菜单 \u002F 客服）",[39,16857,16858],{},"粉丝在公众号点击菜单 → 进入 AI 对话",[21,16860,364],{"id":364},[366,16862,16863,16878],{},[369,16864,16865],{},[372,16866,16867,16869,16871,16873,16875],{},[375,16868,377],{},[375,16870,11483],{},[375,16872,10920],{},[375,16874,10153],{},[375,16876,16877],{},"文心智能体",[390,16879,16880,16892,16905,16921,16935,16948,16964,16977],{},[372,16881,16882,16884,16886,16888,16890],{},[395,16883,16674],{},[395,16885,1070],{},[395,16887,426],{},[395,16889,426],{},[395,16891,440],{},[372,16893,16894,16897,16899,16901,16903],{},[395,16895,16896],{},"微信支付闭环",[395,16898,467],{},[395,16900,426],{},[395,16902,426],{},[395,16904,426],{},[372,16906,16907,16910,16913,16916,16918],{},[395,16908,16909],{},"多渠道发布",[395,16911,16912],{},"微信生态",[395,16914,16915],{},"多平台 + 海外",[395,16917,7433],{},[395,16919,16920],{},"百度生态",[372,16922,16923,16926,16928,16931,16933],{},[395,16924,16925],{},"海外可用",[395,16927,426],{},[395,16929,16930],{},"✅ Coze.com",[395,16932,1100],{},[395,16934,426],{},[372,16936,16937,16939,16942,16944,16946],{},[395,16938,7433],{},[395,16940,16941],{},"❌（企业版才有）",[395,16943,426],{},[395,16945,2390],{},[395,16947,426],{},[372,16949,16950,16953,16956,16958,16961],{},[395,16951,16952],{},"LLM 底座",[395,16954,16955],{},"混元 + DeepSeek",[395,16957,4203],{},[395,16959,16960],{},"多家 + 自托管",[395,16962,16963],{},"文心一言",[372,16965,16966,16968,16971,16973,16975],{},[395,16967,13952],{},[395,16969,16970],{},"✅ 基础",[395,16972,1070],{},[395,16974,1070],{},[395,16976,1100],{},[372,16978,16979,16981,16984,16986,16989],{},[395,16980,506],{},[395,16982,16983],{},"公众号 + 国内",[395,16985,16915],{},[395,16987,16988],{},"自托管 + 企业",[395,16990,16920],{},[21,16992,521],{"id":521},[36,16994,16995,17001,17007,17013,17019,17024,17030,17036,17042],{},[39,16996,16997,17000],{},[42,16998,16999],{},"新版优先","：旧版功能停止演进，新建议直接新版",[39,17002,17003,17006],{},[42,17004,17005],{},"公众号文章质量","：知识库 = 文章质量，垃圾文章入库 = 垃圾回答",[39,17008,17009,17012],{},[42,17010,17011],{},"测试对话","：发布前测 20 个常见问题，验证答案准确",[39,17014,17015,17018],{},[42,17016,17017],{},"兜底回复","：知识库命中失败要有兜底引导（『请联系人工』）",[39,17020,17021,17023],{},[42,17022,16896],{},"：用户体验要清晰，支付链路要可中断",[39,17025,17026,17029],{},[42,17027,17028],{},"token 预算","：开通调用前看模型计价 + 设上限",[39,17031,17032,17035],{},[42,17033,17034],{},"海外用户","：访问可能不稳，业务覆盖海外要走 Coze",[39,17037,17038,17041],{},[42,17039,17040],{},"政务 \u002F 央企合规","：用企业版私有部署 + 备案",[39,17043,17044,17047],{},[42,17045,17046],{},"多 Agent 不要过度","：复杂业务先单 agent 跑通，再拆分",[21,17049,575],{"id":574},[36,17051,17052,17055,17058,17061,17064,17067,17070,17073],{},[39,17053,17054],{},"✅ 微信公众号博主 \u002F 国内自媒体",[39,17056,17057],{},"✅ 政企客服 \u002F 政务 \u002F 民生场景",[39,17059,17060],{},"✅ 电商品牌 + 微信支付闭环",[39,17062,17063],{},"✅ 零代码运营 + 非技术团队",[39,17065,17066],{},"❌ 海外用户 \u002F 跨平台分发",[39,17068,17069],{},"❌ 自托管 \u002F 数据零云",[39,17071,17072],{},"❌ 纯通用 reasoning \u002F 学术 agent",[39,17074,17075],{},"❌ 深度工程化 + API-first",[21,17077,604],{"id":604},[36,17079,17080,17084,17088],{},[39,17081,17082],{},[610,17083,8493],{"href":8492},[39,17085,17086],{},[610,17087,8499],{"href":8498},[39,17089,17090],{},[610,17091,8505],{"href":8504},[21,17093,628],{"id":628},[630,17095,17096,17103,17110,17117],{},[39,17097,17098,17099],{},"腾讯元器官网 ",[610,17100,17101],{"href":17101,"rel":17102},"https:\u002F\u002Fyuanqi.tencent.com",[639],[39,17104,17105,17106],{},"腾讯元器帮助中心 - 平台介绍 + 升级说明 ",[610,17107,17108],{"href":17108,"rel":17109},"https:\u002F\u002Fyuanqi.tencent.com\u002Fguide\u002Fyuanqi-introduction",[639],[39,17111,17112,17113],{},"智能体广场（真实落地案例：童爸育儿 \u002F 飞哥律界 \u002F 钦州政务 \u002F 中国石化小石头）",[610,17114,17115],{"href":17115,"rel":17116},"https:\u002F\u002Fyuanqi.tencent.com\u002Fagent-center\u002Findex",[639],[39,17118,17119,17120],{},"AGI 空间站 — 腾讯混元 + 元器生态 ",[610,17121,17122],{"href":17122,"rel":17123},"https:\u002F\u002Fdocs.feishu.cn\u002Fv\u002Fwiki\u002FJc1TwOaAni879pksMgmcqgUNnof\u002Fa3",[639],{"title":202,"searchDepth":250,"depth":250,"links":17125},[17126,17127,17128,17129,17130,17131,17132,17133,17134,17135],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":16770,"depth":224,"text":16771},{"id":16834,"depth":224,"text":16835},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fyuanqi.webp","腾讯元器（yuanqi.tencent.com）真实评测：腾讯官方零代码智能体平台，2024 推出、2026-01 完成系统升级（新旧双版本并存）。差异点：『人人可用、零代码、零基础』面向普通用户 + 公众号扫码一键授权（历史群发文章 → 智能体知识库）+ 深度整合 LLM + RAG + 工作流引擎 + 多 Agent 协作架构 + 一键发布到微信客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝 + 打通微信支付 MCP 闭环 + 智能体广场 \u002F 模板 \u002F 插件广场 + 混元 + DeepSeek 双底座。",[17139,17142,17145,17148],{"q":17140,"a":17141},"和扣子 Coze \u002F Dify \u002F 文心智能体怎么选？","元器的核心独门：『微信公众号一键授权 + 文章变知识库 + 发布到微信全生态 + 微信支付 MCP』。Coze（字节）强『多 LLM + Bot 商店 + 海外版』。Dify 强『LLMOps 全平台 + 可自托管』。文心智能体强『百度生态 + 搜索 + 文心一言』。微信公众号博主 \u002F 政企客户 → 元器；多平台分发 \u002F 跨海外 → Coze；自托管 \u002F 企业 → Dify；百度生态 → 文心。",{"q":17143,"a":17144},"新旧版关系？","2025-12 元器完成系统升级，新版底层逻辑重写（多 Agent 架构 + 微信支付 MCP 等新能力）。旧版创建的智能体 \u002F 知识库 \u002F 工作流暂时无法直接同步到新版（两套底层），需走迁移路径。新建议直接用新版。官方文档：『从旧版元器迁移智能体到新版元器』。",{"q":17146,"a":17147},"公众号绑定后如何运作？","公众号管理员扫码授权 → 元器拉取历史群发文章 → 自动切片 + embedding 入知识库 → 公众号菜单栏出现『智能问答』入口 → 粉丝点击进入智能体对话 → 命中知识库的问题用文章原文 + LLM 综合回答 → 命中失败走兜底回复。这套路径让自媒体几乎零成本拥有 7×24 客服 \u002F 问答机器人。",{"q":17149,"a":17150},"数据隐私和合规？","元器是腾讯官方服务 + 数据托管在腾讯云 + 合规接入备案算法（混元 \u002F DeepSeek）。对国内合规 \u002F 政务 \u002F 央企场景非常友好。但对隐私敏感 \u002F 数据零云需求 → 走 Dify 自托管 + 国产开源模型路径，不要用元器。",[696,697],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi",[704,17155,17156,17157],"wechat-mp","wechat-work","wechat-pay",[17159,17162,17166],{"plan":16750,"price":11730,"features":17160,"notes":17161},"创建智能体 + 公众号绑定 + 知识库 + 工作流 + 智能体广场","模型 token 按量",{"plan":16252,"price":17163,"features":17164,"notes":17165},"按调用","混元 \u002F DeepSeek \u002F 知识库检索 \u002F 工作流执行 \u002F 插件调用","token + API 次数",{"plan":16761,"price":17167,"features":17168,"notes":17169},"联系商务","私有部署 + SSO + audit + 定制开发 + 多 agent 协作 + SLA","政企客户","免费创建 \u002F 模型调用按 token \u002F 部分能力按调用次数 \u002F 企业版联系商务",[17172],"onboarding\u002Fwechat-mp-ai-agent",{"power":257,"ux":264,"price":264,"cn_support":264,"stability":257},{"title":16654,"description":17137},"腾讯元器 AI Agent 平台评测 2026：腾讯混元大模型应用开发",[17177,17179,17181,17183],{"name":17178,"url":17101,"accessed":732},"腾讯元器官网",{"name":17180,"url":17108,"accessed":732},"腾讯元器帮助中心 - 平台介绍",{"name":17182,"url":17115,"accessed":732},"智能体广场",{"name":17184,"url":17122,"accessed":732},"AGI 空间站 — 腾讯混元 + 元器生态","tools\u002Fagent\u002Fplatform\u002Fyuanqi","腾讯零代码智能体平台——公众号一键变 AI 分身 + 混元 \u002F DeepSeek 双底座 + 微信生态全链路",[17188,17189,11776,17190,17191,17192],"agent-builder","wechat","hunyuan","deepseek","yuanqi","微信公众号博主 \u002F 国内自媒体 \u002F 政企客服首选——把公众号变 7×24 AI 分身的最低成本路径。要纯通用 agent \u002F 海外用户 \u002F 复杂 reasoning 用 Dify \u002F Coze。","ecU4jqtN9rSFz0nKLjXaXWfKQf4tCqmUcnzZ5BCUJMI",{"id":17196,"title":17197,"alternatives":17198,"api_compatible":16,"body":17201,"category":18009,"chinese_friendly":250,"cover":18010,"description":18011,"domestic":680,"extension":681,"faq":18012,"free":680,"github":16,"languages":18025,"lastVerified":16,"meta":18026,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":8504,"pillar":700,"platforms":18027,"priceTable":18030,"pricing":18040,"published":720,"relatedPlaybooks":18041,"relatedReviews":18043,"score":18045,"self_host":680,"seo":18046,"seoTitle":18047,"slug":7924,"sources":18048,"stem":18059,"suitable":16,"tagline":18060,"tags":18061,"updated":732,"verdict":18066,"website":17964,"__hash__":18067},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio.md","Composio",[17199,17200,7922],"agent\u002Fprotocol\u002Fsmithery","agent\u002Fprotocol\u002Fmcp-toolbox",{"type":18,"value":17202,"toc":17997},[17203,17205,17208,17211,17213,17286,17288,17305,17310,17314,17318,17344,17348,17374,17378,17408,17690,17692,17839,17841,17904,17906,17935,17937,17955,17957,17994],[21,17204,24],{"id":23},[26,17206,17207],{},"Composio 是 AI agent 集成基础设施层，把『agent 接入 1000-10,000+ 真实工具』的复杂度封装为一个 SDK。差异点：1000+ pre-built 集成（GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear \u002F Jira \u002F Google Workspace）+ 托管 OAuth（含自动 token refresh）+ 沙箱执行 + 细粒度 action-level 权限 + 完整审计日志 + 框架无关（MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT 都能用）+ Python \u002F TypeScript SDK + AWS \u002F Zoom \u002F Glean 等企业客户。Tooliverse 评分 8.56\u002F10，295 条多平台评测交叉验证。",[26,17209,17210],{},"适合：要造 agent 接多个 SaaS 工具的团队；OAuth \u002F token refresh \u002F 错误重试不想自己写；多框架兼容（不锁定 LangChain）；企业 + 合规 + audit log；已有 MCP server 但想要更广覆盖。不适合：单一工具 high-frequency 场景（自接 API 更便宜）；轻量 hobby project（LangChain native tool 够用）；要 1000% 控制集成代码（用开源 MCP server）；数据零云 + 完全自托管（Composio 是 SaaS）。",[21,17212,34],{"id":34},[36,17214,17215,17221,17227,17233,17239,17245,17251,17257,17262,17268,17274,17280],{},[39,17216,17217,17220],{},[42,17218,17219],{},"1000+ pre-built 集成","：GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear \u002F Jira \u002F Google Workspace 等",[39,17222,17223,17226],{},[42,17224,17225],{},"托管 OAuth","：OAuth flow + token refresh + multi-user 全自动",[39,17228,17229,17232],{},[42,17230,17231],{},"沙箱执行","：tool call 在隔离环境跑，安全隔离",[39,17234,17235,17238],{},[42,17236,17237],{},"action-level 权限","：可精确控制 agent 能做什么（read-only \u002F write \u002F admin）",[39,17240,17241,17244],{},[42,17242,17243],{},"审计日志","：每次 tool call 完整记录（timestamp \u002F user \u002F args \u002F result）",[39,17246,17247,17250],{},[42,17248,17249],{},"框架无关","：MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT",[39,17252,17253,17256],{},[42,17254,17255],{},"Python + TypeScript SDK","：主流 agent 栈都能用",[39,17258,17259,17261],{},[42,17260,3780],{},"：1000+ 工具统一 MCP 入口",[39,17263,17264,17267],{},[42,17265,17266],{},"多用户 session","：per-user OAuth + 隔离 workspace",[39,17269,17270,17273],{},[42,17271,17272],{},"自定义工具","：BaseTool 扩展 + JSON schema 验证",[39,17275,17276,17279],{},[42,17277,17278],{},"企业能力","：SSO \u002F audit \u002F SLA \u002F 私有部署",[39,17281,17282,17285],{},[42,17283,17284],{},"AWS \u002F Zoom \u002F Glean 客户","：production 验证",[21,17287,108],{"id":108},[36,17289,17290,17295,17301],{},[39,17291,17292,17294],{},[42,17293,843],{},"：$0；全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server",[39,17296,17297,17300],{},[42,17298,17299],{},"Growth","：按 action 量阶梯；更高额度 + 团队",[39,17302,17303,14973],{},[42,17304,833],{},[130,17306,17307],{},[26,17308,17309],{},"真实成本：低频 + 多样工具（每天几百次 action）Free 档够用；high-frequency（每分钟轮询 \u002F 大量 batch）成本陡升，要算清单 action 价格。",[21,17311,17313],{"id":17312},"实测agent-接入多-saas","实测（agent 接入多 SaaS）",[26,17315,17316],{},[42,17317,143],{},[36,17319,17320,17323,17326,17329,17332,17335,17338,17341],{},[39,17321,17322],{},"集成宽度（1000+）业内最广",[39,17324,17325],{},"OAuth 全托管省 50% 工程量",[39,17327,17328],{},"一份 SDK 跑通 CrewAI \u002F LangChain \u002F OpenAI Agents SDK",[39,17330,17331],{},"沙箱执行 + audit log 让企业合规过关",[39,17333,17334],{},"AWS \u002F Zoom \u002F Glean 等大客户 = production-grade 信号",[39,17336,17337],{},"Tooliverse 8.56\u002F10、Toolradar 4.9\u002F5（295 reviews）",[39,17339,17340],{},"5 分钟可让 CrewAI agent 在 GitHub 上 star 一个 repo",[39,17342,17343],{},"self-healing tool execution（自动重试 + 错误处理）",[26,17345,17346],{},[42,17347,168],{},[36,17349,17350,17353,17356,17359,17362,17365,17368,17371],{},[39,17351,17352],{},"文档『can lag behind rapid feature releases』",[39,17354,17355],{},"pricing scales steeply for high-frequency use cases",[39,17357,17358],{},"自定义工具要『master schema validation that documentation doesn't fully demystify』",[39,17360,17361],{},"冷门集成 action coverage 浅，只支持基础 CRUD",[39,17363,17364],{},"数据完全 SaaS 化，零云需求不能用",[39,17366,17367],{},"国内访问偶发慢（CDN 在海外）",[39,17369,17370],{},"Free 档 action 限额对生产 hobby 也容易撞顶",[39,17372,17373],{},"vendor lock-in：迁移要重写 OAuth 层",[21,17375,17377],{"id":17376},"上手crewai-5-分钟","上手（CrewAI 5 分钟）",[197,17379,17381],{"className":199,"code":17380,"language":201,"meta":202,"style":202},"pip install composio composio-crewai crewai\nexport COMPOSIO_API_KEY=***\n",[204,17382,17383,17398],{"__ignoreMap":202},[207,17384,17385,17387,17389,17392,17395],{"class":209,"line":210},[207,17386,238],{"class":213},[207,17388,241],{"class":217},[207,17390,17391],{"class":217}," composio",[207,17393,17394],{"class":217}," composio-crewai",[207,17396,17397],{"class":217}," crewai\n",[207,17399,17400,17402,17405],{"class":209,"line":224},[207,17401,1641],{"class":306},[207,17403,17404],{"class":234}," COMPOSIO_API_KEY",[207,17406,17407],{"class":306},"=***\n",[197,17409,17412],{"className":17410,"code":17411,"language":335,"meta":202,"style":202},"language-python shiki shiki-themes github-light github-dark","from composio_crewai import ComposioProvider\nfrom composio import Composio\nfrom crewai import Agent, Task, Crew\n\ncomposio = Composio(provider=ComposioProvider())\nsession = composio.create(user_id=\"alice\", toolkits=[\"github\", \"gmail\"])\ntools = session.tools()\n\n# 手动授权（首次）\nauth = session.authorize(\"github\")\nprint(f\"Visit: {auth.redirect_url}\")\n\nagent = Agent(\n    role=\"GitHub Agent\",\n    goal=\"Star repos on behalf of users\",\n    tools=tools, llm=...\n)\ntask = Task(description=\"Star composiohq\u002Fcomposio\", agent=agent, expected_output=\"done\")\nCrew(agents=[agent], tasks=[task]).kickoff()\n",[204,17413,17414,17426,17438,17450,17454,17473,17512,17522,17526,17531,17545,17572,17576,17586,17598,17610,17628,17632,17669],{"__ignoreMap":202},[207,17415,17416,17418,17421,17423],{"class":209,"line":210},[207,17417,8868],{"class":306},[207,17419,17420],{"class":234}," composio_crewai ",[207,17422,8862],{"class":306},[207,17424,17425],{"class":234}," ComposioProvider\n",[207,17427,17428,17430,17433,17435],{"class":209,"line":224},[207,17429,8868],{"class":306},[207,17431,17432],{"class":234}," composio ",[207,17434,8862],{"class":306},[207,17436,17437],{"class":234}," Composio\n",[207,17439,17440,17442,17445,17447],{"class":209,"line":250},[207,17441,8868],{"class":306},[207,17443,17444],{"class":234}," crewai ",[207,17446,8862],{"class":306},[207,17448,17449],{"class":234}," Agent, Task, Crew\n",[207,17451,17452],{"class":209,"line":257},[207,17453,254],{"emptyLinePlaceholder":253},[207,17455,17456,17459,17461,17464,17468,17470],{"class":209,"line":264},[207,17457,17458],{"class":234},"composio ",[207,17460,1647],{"class":306},[207,17462,17463],{"class":234}," Composio(",[207,17465,17467],{"class":17466},"s4XuR","provider",[207,17469,1647],{"class":306},[207,17471,17472],{"class":234},"ComposioProvider())\n",[207,17474,17475,17478,17480,17483,17486,17488,17491,17493,17496,17498,17501,17504,17506,17509],{"class":209,"line":276},[207,17476,17477],{"class":234},"session ",[207,17479,1647],{"class":306},[207,17481,17482],{"class":234}," composio.create(",[207,17484,17485],{"class":17466},"user_id",[207,17487,1647],{"class":306},[207,17489,17490],{"class":217},"\"alice\"",[207,17492,1009],{"class":234},[207,17494,17495],{"class":17466},"toolkits",[207,17497,1647],{"class":306},[207,17499,17500],{"class":234},"[",[207,17502,17503],{"class":217},"\"github\"",[207,17505,1009],{"class":234},[207,17507,17508],{"class":217},"\"gmail\"",[207,17510,17511],{"class":234},"])\n",[207,17513,17514,17517,17519],{"class":209,"line":281},[207,17515,17516],{"class":234},"tools ",[207,17518,1647],{"class":306},[207,17520,17521],{"class":234}," session.tools()\n",[207,17523,17524],{"class":209,"line":287},[207,17525,254],{"emptyLinePlaceholder":253},[207,17527,17528],{"class":209,"line":321},[207,17529,17530],{"class":260},"# 手动授权（首次）\n",[207,17532,17533,17536,17538,17541,17543],{"class":209,"line":326},[207,17534,17535],{"class":234},"auth ",[207,17537,1647],{"class":306},[207,17539,17540],{"class":234}," session.authorize(",[207,17542,17503],{"class":217},[207,17544,8976],{"class":234},[207,17546,17547,17550,17552,17555,17558,17561,17564,17567,17570],{"class":209,"line":332},[207,17548,17549],{"class":227},"print",[207,17551,8970],{"class":234},[207,17553,17554],{"class":306},"f",[207,17556,17557],{"class":217},"\"Visit: ",[207,17559,17560],{"class":227},"{",[207,17562,17563],{"class":234},"auth.redirect_url",[207,17565,17566],{"class":227},"}",[207,17568,17569],{"class":217},"\"",[207,17571,8976],{"class":234},[207,17573,17574],{"class":209,"line":344},[207,17575,254],{"emptyLinePlaceholder":253},[207,17577,17578,17581,17583],{"class":209,"line":355},[207,17579,17580],{"class":234},"agent ",[207,17582,1647],{"class":306},[207,17584,17585],{"class":234}," Agent(\n",[207,17587,17588,17591,17593,17596],{"class":209,"line":1669},[207,17589,17590],{"class":17466},"    role",[207,17592,1647],{"class":306},[207,17594,17595],{"class":217},"\"GitHub Agent\"",[207,17597,995],{"class":234},[207,17599,17600,17603,17605,17608],{"class":209,"line":1675},[207,17601,17602],{"class":17466},"    goal",[207,17604,1647],{"class":306},[207,17606,17607],{"class":217},"\"Star repos on behalf of users\"",[207,17609,995],{"class":234},[207,17611,17612,17615,17617,17620,17623,17625],{"class":209,"line":1681},[207,17613,17614],{"class":17466},"    tools",[207,17616,1647],{"class":306},[207,17618,17619],{"class":234},"tools, ",[207,17621,17622],{"class":17466},"llm",[207,17624,1647],{"class":306},[207,17626,17627],{"class":227},"...\n",[207,17629,17630],{"class":209,"line":1686},[207,17631,8976],{"class":234},[207,17633,17634,17637,17639,17642,17645,17647,17650,17652,17654,17656,17659,17662,17664,17667],{"class":209,"line":2956},[207,17635,17636],{"class":234},"task ",[207,17638,1647],{"class":306},[207,17640,17641],{"class":234}," Task(",[207,17643,17644],{"class":17466},"description",[207,17646,1647],{"class":306},[207,17648,17649],{"class":217},"\"Star composiohq\u002Fcomposio\"",[207,17651,1009],{"class":234},[207,17653,700],{"class":17466},[207,17655,1647],{"class":306},[207,17657,17658],{"class":234},"agent, ",[207,17660,17661],{"class":17466},"expected_output",[207,17663,1647],{"class":306},[207,17665,17666],{"class":217},"\"done\"",[207,17668,8976],{"class":234},[207,17670,17671,17674,17677,17679,17682,17685,17687],{"class":209,"line":2964},[207,17672,17673],{"class":234},"Crew(",[207,17675,17676],{"class":17466},"agents",[207,17678,1647],{"class":306},[207,17680,17681],{"class":234},"[agent], ",[207,17683,17684],{"class":17466},"tasks",[207,17686,1647],{"class":306},[207,17688,17689],{"class":234},"[task]).kickoff()\n",[21,17691,364],{"id":364},[366,17693,17694,17711],{},[369,17695,17696],{},[372,17697,17698,17700,17702,17705,17708],{},[375,17699,377],{},[375,17701,17197],{},[375,17703,17704],{},"Smithery",[375,17706,17707],{},"MCP Toolbox",[375,17709,17710],{},"LangChain Tools",[390,17712,17713,17729,17744,17760,17772,17785,17798,17810,17824],{},[372,17714,17715,17717,17720,17723,17726],{},[395,17716,15851],{},[395,17718,17719],{},"1000+",[395,17721,17722],{},"MCP 注册中心",[395,17724,17725],{},"Google MCP 集合",[395,17727,17728],{},"~200",[372,17730,17731,17734,17736,17739,17741],{},[395,17732,17733],{},"OAuth 托管",[395,17735,1070],{},[395,17737,17738],{},"❌ 各 server 自管",[395,17740,426],{},[395,17742,17743],{},"自己写",[372,17745,17746,17749,17752,17755,17757],{},[395,17747,17748],{},"框架兼容",[395,17750,17751],{},"MCP + LC + CrewAI + Autogen + OpenAI",[395,17753,17754],{},"MCP only",[395,17756,17754],{},[395,17758,17759],{},"LangChain only",[372,17761,17762,17764,17766,17768,17770],{},[395,17763,17231],{},[395,17765,1100],{},[395,17767,426],{},[395,17769,426],{},[395,17771,426],{},[372,17773,17774,17777,17779,17781,17783],{},[395,17775,17776],{},"audit log",[395,17778,1100],{},[395,17780,426],{},[395,17782,440],{},[395,17784,426],{},[372,17786,17787,17790,17792,17794,17796],{},[395,17788,17789],{},"企业 SSO",[395,17791,1100],{},[395,17793,426],{},[395,17795,426],{},[395,17797,426],{},[372,17799,17800,17802,17804,17806,17808],{},[395,17801,7433],{},[395,17803,426],{},[395,17805,440],{},[395,17807,2390],{},[395,17809,423],{},[372,17811,17812,17814,17817,17819,17822],{},[395,17813,1152],{},[395,17815,17816],{},"Free + 按 action",[395,17818,843],{},[395,17820,17821],{},"$0 OSS",[395,17823,707],{},[372,17825,17826,17828,17831,17834,17837],{},[395,17827,506],{},[395,17829,17830],{},"多 SaaS + 多框架",[395,17832,17833],{},"MCP server 发现",[395,17835,17836],{},"Google Cloud",[395,17838,17759],{},[21,17840,521],{"id":521},[36,17842,17843,17849,17855,17864,17869,17875,17881,17887,17892,17898],{},[39,17844,17845,17848],{},[42,17846,17847],{},"action 预算","：先估月度 action 量 + 选档，high-frequency 不要无脑用 Free",[39,17850,17851,17854],{},[42,17852,17853],{},"OAuth scope 最小化","：只授权必需 scope，audit log 也更干净",[39,17856,17857,17860,17861,17863],{},[42,17858,17859],{},"每用户 session","：multi-tenant 用 ",[204,17862,17485],{}," 隔离 OAuth + workspace",[39,17865,17866,17868],{},[42,17867,17272],{},"：先看 JSON schema 文档 + 跑 unit test 验证",[39,17870,17871,17874],{},[42,17872,17873],{},"冷门集成","：先 try Free 跑 demo 确认 action coverage 够",[39,17876,17877,17880],{},[42,17878,17879],{},"fallback","：Composio 不可用要有 fallback（重试 + 备用 SDK）",[39,17882,17883,17886],{},[42,17884,17885],{},"数据零云需求","：用 MCP server 自托管，不要用 Composio",[39,17888,17889,17891],{},[42,17890,9720],{},"：CDN 海外，国内 production 用 proxy \u002F 反代",[39,17893,17894,17897],{},[42,17895,17896],{},"rate limit","：每个 SaaS 还有自己的 rate limit，Composio 不替你解决",[39,17899,17900,17903],{},[42,17901,17902],{},"vendor lock","：业务核心要做迁移预案（abstract OAuth 层）",[21,17905,575],{"id":574},[36,17907,17908,17911,17914,17917,17920,17923,17926,17929,17932],{},[39,17909,17910],{},"✅ 要造 agent 接多 SaaS 工具",[39,17912,17913],{},"✅ OAuth \u002F token refresh \u002F 错误重试不想自写",[39,17915,17916],{},"✅ 多框架兼容（不锁定）",[39,17918,17919],{},"✅ 企业 + 合规 + audit log",[39,17921,17922],{},"✅ 已有 MCP server 但想要更广覆盖",[39,17924,17925],{},"❌ 单一工具 high-frequency（自接 API 更便宜）",[39,17927,17928],{},"❌ 轻量 hobby project（LangChain 够用）",[39,17930,17931],{},"❌ 完全自托管 \u002F 数据零云",[39,17933,17934],{},"❌ 要 1000% 控制集成代码",[21,17936,604],{"id":604},[36,17938,17939,17945,17951],{},[39,17940,17941],{},[610,17942,17944],{"href":17943},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fsmithery","Smithery 评测",[39,17946,17947],{},[610,17948,17950],{"href":17949},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox","MCP Toolbox 评测",[39,17952,17953],{},[610,17954,8493],{"href":8492},[21,17956,628],{"id":628},[630,17958,17959,17966,17973,17980,17987],{},[39,17960,17961,17962],{},"Composio 官网 + Pricing ",[610,17963,17964],{"href":17964,"rel":17965},"https:\u002F\u002Fcomposio.dev",[639],[39,17967,17968,17969],{},"Tooliverse — Composio Review 2026 + 8.56\u002F10 + 295 reviews ",[610,17970,17971],{"href":17971,"rel":17972},"https:\u002F\u002Ftooliverse.ai\u002Ftools\u002Fcomposio",[639],[39,17974,17975,17976],{},"Sift AI — Composio Review 2026: Integration Platform for AI Agents ",[610,17977,17978],{"href":17978,"rel":17979},"https:\u002F\u002Fsiftaitools.com\u002Freviews\u002Fcomposio",[639],[39,17981,17982,17983],{},"Toolradar — Composio Reviews + 4.9\u002F5 ",[610,17984,17985],{"href":17985,"rel":17986},"https:\u002F\u002Ftoolradar.com\u002Ftools\u002Fcomposio",[639],[39,17988,17989,17990],{},"CrewAI Docs — Composio Tool 集成示例 + 250+ tools ",[610,17991,17992],{"href":17992,"rel":17993},"https:\u002F\u002Fdocs.crewai.com\u002Fen\u002Ftools\u002Fautomation\u002Fcomposiotool",[639],[662,17995,17996],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}",{"title":202,"searchDepth":250,"depth":250,"links":17998},[17999,18000,18001,18002,18003,18004,18005,18006,18007,18008],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":17312,"depth":224,"text":17313},{"id":17376,"depth":224,"text":17377},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"protocol","\u002Fimg\u002Ftools\u002Fcomposio.webp","Composio（composio.dev）真实评测：AI agent 集成基础设施层，把『agent 接入 1000-10,000+ 真实工具』的复杂度封装为一个 SDK。差异点：1000+ pre-built 集成（GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear 等）+ 托管 OAuth（含自动 token refresh）+ 沙箱执行 + 细粒度权限 + 完整审计日志 + 框架无关（MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT 都能用）+ Python \u002F TypeScript SDK + AWS \u002F Zoom \u002F Glean 等企业客户背书。",[18013,18016,18019,18022],{"q":18014,"a":18015},"Composio 解决什么问题？","AI agent 在 production 撞墙最常见原因 = 『集成 + 认证基础设施』。每接一个工具（GitHub \u002F Slack \u002F Gmail \u002F Salesforce）要：写 OAuth flow + 保存 \u002F 刷新 token + 处理 rate limit + 写 JSON schema 给 LLM + 沙箱执行 + 错误重试。这些代码占了 agent 项目 50%+ 工程量。Composio 把这部分托管化，开发者只 import SDK 就能用 1000+ 工具，重心回到『agent 智能本身』。",{"q":18017,"a":18018},"和 MCP 是什么关系？","Composio 同时是 MCP server 提供方 + 自有 SDK。MCP 是 Anthropic 推出的开放协议，但 MCP server 仍需有人维护（GitHub MCP \u002F Slack MCP 等）。Composio 提供了 1000+ 工具的『大集合 MCP server』+ 还兼容 LangChain \u002F CrewAI \u002F OpenAI Agents SDK 等非 MCP 框架。所以可视为『MCP 协议 + 多框架原生 SDK』的双轨集成层。",{"q":18020,"a":18021},"和 LangChain native tools 怎么选？","LangChain 自带 ~200 tool，但很多是社区维护、OAuth 要自己处理、production 稳定性参差。Composio 用 1000+ 商业维护的集成 + 托管 OAuth + 企业级权限审计换更高费用。Hobby \u002F 学习项目 → LangChain native；production \u002F 多用户 \u002F 多 OAuth scope → Composio。",{"q":18023,"a":18024},"实际用起来贵不贵？","免费档对开发 \u002F 验证够用。生产部署 high-frequency 用例（如每分钟轮询 Gmail）会快速消耗 action 额度 → Growth\u002FEnterprise 起步。Tooliverse 评测明确指出『pricing scales steeply for high-frequency use cases』。低频 + 多样工具 → Composio 性价比高；高频 + 单工具 → 自接 API 更便宜。",[697],{},[18028,18029,1392],"api","sdk",[18031,18034,18038],{"plan":843,"price":707,"features":18032,"notes":18033},"全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server","开发 \u002F 试水",{"plan":17299,"price":18035,"features":18036,"notes":18037},"按 action","更高 action 限额 + 更多并发 + 细粒度权限 + 团队","生产部署",{"plan":833,"price":10045,"features":18039,"notes":16133},"SSO + audit + 私有部署 + SLA + 自定义工具开发 + 专属支持","Free（有月度 action 限额）\u002F Growth 按 action 量阶梯 \u002F Enterprise 联系销售",[18042],"onboarding\u002Fagent-integration-layer",[18044],"mcp-ecosystem-review",{"power":264,"ux":257,"price":257,"cn_support":250,"stability":257},{"title":17197,"description":18011},"Composio 评测 2026：AI Agent 集成中间件，1000+ 工具 + MCP",[18049,18051,18053,18055,18057],{"name":18050,"url":17964,"accessed":732},"Composio 官网",{"name":18052,"url":17971,"accessed":732},"Tooliverse — Composio Review 2026 Agent Tool Execution",{"name":18054,"url":17978,"accessed":732},"Sift AI — Composio Review 2026: Integration Platform",{"name":18056,"url":17985,"accessed":732},"Toolradar — Composio Reviews + 4.9\u002F5",{"name":18058,"url":17992,"accessed":732},"CrewAI Docs — Composio Tool 集成示例","tools\u002Fagent\u002Fprotocol\u002Fcomposio","AI Agent 集成中间件——1000+ 工具 + 托管 OAuth + 框架无关 + MCP + 沙箱执行",[18062,18063,1392,18064,18065],"agent-infra","integrations","oauth","composio","Agent 开发的『集成中间件层』——免自己写 1000 个 OAuth + token refresh + JSON schema。AWS \u002F Zoom \u002F Glean 在用。要省钱 \u002F 自托管全部用 MCP server 自己接；要简单 LangChain 工具用 LangChain native tools。","Sdp3LFqLRkAF5MF0r1IT-vpET_2GVnBeTq7UuCZDDLk",{"id":18069,"title":17707,"alternatives":18070,"api_compatible":16,"body":18071,"category":18009,"chinese_friendly":224,"cover":18935,"description":18936,"domestic":680,"extension":681,"faq":18937,"free":680,"github":18897,"languages":18950,"lastVerified":16,"meta":18951,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":17949,"pillar":700,"platforms":18952,"priceTable":18953,"pricing":18960,"published":18961,"relatedPlaybooks":18962,"relatedReviews":18964,"score":18965,"self_host":253,"seo":18966,"seoTitle":18967,"slug":17200,"sources":18968,"stem":18979,"suitable":16,"tagline":18980,"tags":18981,"updated":732,"verdict":18985,"website":18890,"__hash__":18986},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox.md",[17199,7924,7922],{"type":18,"value":18072,"toc":18923},[18073,18075,18098,18101,18103,18193,18195,18209,18214,18218,18222,18251,18255,18286,18290,18592,18599,18601,18764,18766,18832,18834,18865,18867,18881,18883,18920],[21,18074,24],{"id":23},[26,18076,18077,18078,18081,18082,18085,18086,18089,18090,18093,18094,18097],{},"MCP Toolbox for Databases（前 ",[204,18079,18080],{},"genai-toolbox","）是 Google 开源的 MCP 数据库网关，由 ",[204,18083,18084],{},"googleapis"," GitHub 组织维护，Apache 2.0 协议。它的差异点：",[42,18087,18088],{},"42+ 预置数据源","（AlloyDB \u002F BigQuery \u002F Cloud SQL PostgreSQL\u002FMySQL\u002FSQL Server \u002F Spanner \u002F Firestore \u002F Bigtable \u002F 自管 PostgreSQL \u002F MySQL \u002F SQL Server \u002F SQLite \u002F Oracle \u002F MongoDB \u002F Redis \u002F Elasticsearch \u002F Neo4j \u002F Snowflake \u002F ClickHouse \u002F Couchbase \u002F CockroachDB \u002F TiDB \u002F OceanBase \u002F Trino），外加 Looker \u002F Cloud Storage \u002F Cloud Monitoring \u002F Cloud Logging \u002F Dataproc \u002F Gemini Data Analytics。",[42,18091,18092],{},"双重角色","：(a) 即装即用的通用 MCP 服务器，让 Gemini CLI \u002F Claude Code \u002F Codex \u002F Antigravity 等 MCP 客户端 0 行代码连数据库；(b) 自定义工具框架，用 ",[204,18095,18096],{},"tools.yaml"," 声明参数化 SQL \u002F 语义搜索 \u002F NL2SQL，构建生产级 Agent 数据访问层。",[26,18099,18100],{},"适合：要让 AI Agent 安全读写企业数据库的团队；GCP 重度用户（AlloyDB \u002F Spanner \u002F BigQuery）；要审计 AI 数据库操作的合规场景；多 Agent 共享同一数据访问层的多框架团队。不适合：纯 SaaS 集成（用 Composio）；非数据库工具发现（用 Smithery）；不想引入 Go 二进制 \u002F Docker 的极简场景。",[21,18102,34],{"id":34},[36,18104,18105,18111,18119,18134,18140,18146,18152,18158,18164,18173,18182,18188],{},[39,18106,18107,18110],{},[42,18108,18109],{},"42+ 数据源","：GCP 全家桶 + 主流自管 DB + NoSQL + 图 DB + Lake\u002FOLAP",[39,18112,18113,5072,18116,18118],{},[42,18114,18115],{},"声明式工具",[204,18117,18096],{}," 定义 name \u002F source \u002F 参数化 SQL \u002F 描述",[39,18120,18121,5072,18124,6035,18127,6035,18130,18133],{},[42,18122,18123],{},"预置工具",[204,18125,18126],{},"execute_sql",[204,18128,18129],{},"list_tables",[204,18131,18132],{},"get_table_info"," 开箱即用",[39,18135,18136,18139],{},[42,18137,18138],{},"连接池","：高并发 Agent 不打挂数据库",[39,18141,18142,18145],{},[42,18143,18144],{},"IAM \u002F OAuth2 \u002F OIDC","：按用户\u002F角色限制可调工具",[39,18147,18148,18151],{},[42,18149,18150],{},"OpenTelemetry","：metrics + tracing 出厂集成",[39,18153,18154,18157],{},[42,18155,18156],{},"多语言 SDK","：Python \u002F TypeScript \u002F Go \u002F Java（v1.0+）",[39,18159,18160,18163],{},[42,18161,18162],{},"框架集成","：LangChain \u002F LlamaIndex \u002F Genkit \u002F Google ADK 原生",[39,18165,18166,18169,18170,18172],{},[42,18167,18168],{},"动态热重载","：dev 模式改 ",[204,18171,18096],{}," 不需重启",[39,18174,18175,18181],{},[42,18176,18177,18180],{},[204,18178,18179],{},"--ui"," 交互模式","：本地调试 tool 的可视化界面",[39,18183,18184,18187],{},[42,18185,18186],{},"MCP 协议兼容","：任何 MCP 客户端可接入",[39,18189,18190,18192],{},[42,18191,1899],{},"：可商用、可自托管、可改",[21,18194,108],{"id":108},[36,18196,18197,18203],{},[39,18198,18199,18202],{},[42,18200,18201],{},"OSS","：$0；完整功能 + 42+ 数据源",[39,18204,18205,18208],{},[42,18206,18207],{},"GCP 托管","：只付 Cloud Run \u002F GKE \u002F DB 资源费，Toolbox 自身不收费",[130,18210,18211],{},[26,18212,18213],{},"对比：Composio 按 action 量收费、Smithery 托管按用量收费。Toolbox 完全自托管 → 长期成本最低，但要自己承担 ops。",[21,18215,18217],{"id":18216},"实测gcp-alloydb-claude-code","实测（GCP + AlloyDB + Claude Code）",[26,18219,18220],{},[42,18221,143],{},[36,18223,18224,18231,18236,18239,18242,18245,18248],{},[39,18225,18226,18227,18230],{},"5 分钟从 ",[204,18228,18229],{},"docker run"," 到 Claude Code 用 NL 查询数据库",[39,18232,18233,18235],{},[204,18234,18096],{}," 声明式比写 LangChain Python tool 干净很多",[39,18237,18238],{},"连接池让 100 个并发 Agent 不会拖垮 PG",[39,18240,18241],{},"IAM 集成让生产环境合规过关",[39,18243,18244],{},"OpenTelemetry trace 直接连到 Cloud Trace，慢查询定位简单",[39,18246,18247],{},"兼容 Claude Code \u002F Gemini CLI \u002F Codex \u002F Antigravity 等多客户端，不锁定",[39,18249,18250],{},"Java SDK 让 Spring Boot 项目零外接",[26,18252,18253],{},[42,18254,168],{},[36,18256,18257,18260,18265,18268,18271,18274,18277,18280],{},[39,18258,18259],{},"全英文文档，国内开发者要硬啃",[39,18261,18262,18264],{},[204,18263,18096],{}," 语法有学习曲线，复杂 query 不如直接写代码",[39,18266,18267],{},"非 GCP 用户用不上一半预置 source",[39,18269,18270],{},"LLM 仍会 hallucinate 表名 \u002F 列名 → 要在 description 写清 schema",[39,18272,18273],{},"冷门数据源（OceanBase \u002F TiDB）prebuilt 工具浅，要写自定义",[39,18275,18276],{},"多客户端共享同一 Toolbox 时，权限粒度仍偏粗",[39,18278,18279],{},"Go binary + Docker 部署对纯 Python team 是新栈",[39,18281,18282,18283,18285],{},"改 ",[204,18284,18096],{}," 后 LLM context 会更新，要重启对话才彻底生效",[21,18287,18289],{"id":18288},"上手postgresql-5-分钟","上手（PostgreSQL 5 分钟）",[197,18291,18293],{"className":199,"code":18292,"language":201,"meta":202,"style":202},"# 1. 拉镜像\ndocker run -p 5000:5000 -v $PWD\u002Ftools.yaml:\u002Fconfig\u002Ftools.yaml \\\n  us-central1-docker.pkg.dev\u002Fdatabase-toolbox\u002Ftoolbox\u002Ftoolbox:latest\n\n# 2. tools.yaml\nsources:\n  my-pg:\n    kind: postgres\n    host: localhost\n    port: 5432\n    database: shop\n    user: agent\n    password: ***\n\ntools:\n  search_products:\n    kind: postgres-sql\n    source: my-pg\n    description: \"Search products by name (case-insensitive, top 10)\"\n    parameters:\n      - name: name\n        type: string\n        description: Product name keyword\n    statement: |\n      SELECT id, name, price FROM products\n      WHERE name ILIKE '%' || $1 || '%' LIMIT 10\n\n# 3. 注册到 Claude Desktop（mcp config）\n{\n  \"mcpServers\": {\n    \"toolbox\": { \"url\": \"http:\u002F\u002Flocalhost:5000\u002Fmcp\" }\n  }\n}\n",[204,18294,18295,18300,18322,18327,18331,18336,18341,18346,18354,18362,18370,18378,18386,18394,18398,18403,18408,18415,18426,18434,18440,18452,18462,18477,18486,18507,18537,18541,18547,18552,18562,18582,18587],{"__ignoreMap":202},[207,18296,18297],{"class":209,"line":210},[207,18298,18299],{"class":260},"# 1. 拉镜像\n",[207,18301,18302,18304,18306,18308,18311,18314,18317,18320],{"class":209,"line":224},[207,18303,2861],{"class":213},[207,18305,2864],{"class":217},[207,18307,15091],{"class":227},[207,18309,18310],{"class":217}," 5000:5000",[207,18312,18313],{"class":227}," -v",[207,18315,18316],{"class":234}," $PWD",[207,18318,18319],{"class":217},"\u002Ftools.yaml:\u002Fconfig\u002Ftools.yaml",[207,18321,341],{"class":227},[207,18323,18324],{"class":209,"line":250},[207,18325,18326],{"class":217},"  us-central1-docker.pkg.dev\u002Fdatabase-toolbox\u002Ftoolbox\u002Ftoolbox:latest\n",[207,18328,18329],{"class":209,"line":257},[207,18330,254],{"emptyLinePlaceholder":253},[207,18332,18333],{"class":209,"line":264},[207,18334,18335],{"class":260},"# 2. tools.yaml\n",[207,18337,18338],{"class":209,"line":276},[207,18339,18340],{"class":213},"sources:\n",[207,18342,18343],{"class":209,"line":281},[207,18344,18345],{"class":213},"  my-pg:\n",[207,18347,18348,18351],{"class":209,"line":287},[207,18349,18350],{"class":213},"    kind:",[207,18352,18353],{"class":217}," postgres\n",[207,18355,18356,18359],{"class":209,"line":321},[207,18357,18358],{"class":213},"    host:",[207,18360,18361],{"class":217}," localhost\n",[207,18363,18364,18367],{"class":209,"line":326},[207,18365,18366],{"class":213},"    port:",[207,18368,18369],{"class":227}," 5432\n",[207,18371,18372,18375],{"class":209,"line":332},[207,18373,18374],{"class":213},"    database:",[207,18376,18377],{"class":217}," shop\n",[207,18379,18380,18383],{"class":209,"line":344},[207,18381,18382],{"class":213},"    user:",[207,18384,18385],{"class":217}," agent\n",[207,18387,18388,18391],{"class":209,"line":355},[207,18389,18390],{"class":213},"    password:",[207,18392,18393],{"class":227}," ***\n",[207,18395,18396],{"class":209,"line":1669},[207,18397,254],{"emptyLinePlaceholder":253},[207,18399,18400],{"class":209,"line":1675},[207,18401,18402],{"class":213},"tools:\n",[207,18404,18405],{"class":209,"line":1681},[207,18406,18407],{"class":213},"  search_products:\n",[207,18409,18410,18412],{"class":209,"line":1686},[207,18411,18350],{"class":213},[207,18413,18414],{"class":217}," postgres-sql\n",[207,18416,18417,18420,18423],{"class":209,"line":2956},[207,18418,18419],{"class":227},"    source",[207,18421,18422],{"class":217},":",[207,18424,18425],{"class":217}," my-pg\n",[207,18427,18428,18431],{"class":209,"line":2964},[207,18429,18430],{"class":213},"    description:",[207,18432,18433],{"class":217}," \"Search products by name (case-insensitive, top 10)\"\n",[207,18435,18437],{"class":209,"line":18436},20,[207,18438,18439],{"class":213},"    parameters:\n",[207,18441,18443,18446,18449],{"class":209,"line":18442},21,[207,18444,18445],{"class":213},"      -",[207,18447,18448],{"class":217}," name:",[207,18450,18451],{"class":217}," name\n",[207,18453,18454,18457,18459],{"class":209,"line":7},[207,18455,18456],{"class":227},"        type",[207,18458,18422],{"class":217},[207,18460,18461],{"class":217}," string\n",[207,18463,18465,18468,18471,18474],{"class":209,"line":18464},23,[207,18466,18467],{"class":213},"        description:",[207,18469,18470],{"class":217}," Product",[207,18472,18473],{"class":217}," name",[207,18475,18476],{"class":217}," keyword\n",[207,18478,18480,18483],{"class":209,"line":18479},24,[207,18481,18482],{"class":213},"    statement:",[207,18484,18485],{"class":306}," |\n",[207,18487,18489,18492,18495,18498,18501,18504],{"class":209,"line":18488},25,[207,18490,18491],{"class":213},"      SELECT",[207,18493,18494],{"class":217}," id,",[207,18496,18497],{"class":217}," name,",[207,18499,18500],{"class":217}," price",[207,18502,18503],{"class":217}," FROM",[207,18505,18506],{"class":217}," products\n",[207,18508,18510,18513,18515,18518,18521,18524,18527,18529,18531,18534],{"class":209,"line":18509},26,[207,18511,18512],{"class":213},"      WHERE",[207,18514,18473],{"class":217},[207,18516,18517],{"class":217}," ILIKE",[207,18519,18520],{"class":217}," '%'",[207,18522,18523],{"class":306}," ||",[207,18525,18526],{"class":17466}," $1",[207,18528,18523],{"class":306},[207,18530,18520],{"class":213},[207,18532,18533],{"class":217}," LIMIT",[207,18535,18536],{"class":227}," 10\n",[207,18538,18539],{"class":209,"line":5},[207,18540,254],{"emptyLinePlaceholder":253},[207,18542,18544],{"class":209,"line":18543},28,[207,18545,18546],{"class":260},"# 3. 注册到 Claude Desktop（mcp config）\n",[207,18548,18550],{"class":209,"line":18549},29,[207,18551,966],{"class":234},[207,18553,18555,18557,18559],{"class":209,"line":18554},30,[207,18556,971],{"class":213},[207,18558,18422],{"class":227},[207,18560,18561],{"class":217}," {\n",[207,18563,18565,18568,18570,18573,18576,18579],{"class":209,"line":18564},31,[207,18566,18567],{"class":213},"    \"toolbox\"",[207,18569,18422],{"class":227},[207,18571,18572],{"class":217}," {",[207,18574,18575],{"class":217}," \"url\":",[207,18577,18578],{"class":217}," \"http:\u002F\u002Flocalhost:5000\u002Fmcp\"",[207,18580,18581],{"class":217}," }\n",[207,18583,18585],{"class":209,"line":18584},32,[207,18586,1030],{"class":234},[207,18588,18590],{"class":209,"line":18589},33,[207,18591,1035],{"class":234},[26,18593,18594,18595,18598],{},"启动后 Claude 看到 ",[204,18596,18597],{},"search_products"," 工具，模型自然语言『查一下叫 iPhone 的产品』就会调用，绝不会暴露原始 DB connection。",[21,18600,364],{"id":364},[366,18602,18603,18618],{},[369,18604,18605],{},[372,18606,18607,18609,18611,18613,18615],{},[375,18608,377],{},[375,18610,17707],{},[375,18612,17197],{},[375,18614,17704],{},[375,18616,18617],{},"LangChain SQL Tool",[390,18619,18620,18636,18653,18666,18681,18693,18707,18723,18736,18748],{},[372,18621,18622,18625,18628,18631,18633],{},[395,18623,18624],{},"焦点",[395,18626,18627],{},"DB + 数据源",[395,18629,18630],{},"SaaS 集成",[395,18632,17833],{},[395,18634,18635],{},"DB only",[372,18637,18638,18641,18644,18647,18650],{},[395,18639,18640],{},"数据源数",[395,18642,18643],{},"42+",[395,18645,18646],{},"1000+ SaaS",[395,18648,18649],{},"3300+ MCP server",[395,18651,18652],{},"~10",[372,18654,18655,18657,18659,18662,18664],{},[395,18656,18138],{},[395,18658,12077],{},[395,18660,18661],{},"N\u002FA",[395,18663,18661],{},[395,18665,426],{},[372,18667,18668,18671,18674,18677,18679],{},[395,18669,18670],{},"IAM",[395,18672,18673],{},"✅ OAuth2\u002FOIDC",[395,18675,18676],{},"✅ 托管 OAuth",[395,18678,426],{},[395,18680,426],{},[372,18682,18683,18685,18687,18689,18691],{},[395,18684,18150],{},[395,18686,473],{},[395,18688,1100],{},[395,18690,440],{},[395,18692,426],{},[372,18694,18695,18697,18700,18702,18704],{},[395,18696,18115],{},[395,18698,18699],{},"✅ tools.yaml",[395,18701,440],{},[395,18703,426],{},[395,18705,18706],{},"代码",[372,18708,18709,18712,18715,18718,18720],{},[395,18710,18711],{},"MCP 客户端",[395,18713,18714],{},"✅ 全部",[395,18716,18717],{},"✅ + LC\u002FCrewAI\u002FAutogen",[395,18719,17754],{},[395,18721,18722],{},"LC only",[372,18724,18725,18727,18729,18732,18734],{},[395,18726,7433],{},[395,18728,2390],{},[395,18730,18731],{},"❌ SaaS",[395,18733,440],{},[395,18735,423],{},[372,18737,18738,18740,18742,18744,18746],{},[395,18739,1152],{},[395,18741,707],{},[395,18743,17816],{},[395,18745,843],{},[395,18747,707],{},[372,18749,18750,18752,18755,18758,18761],{},[395,18751,506],{},[395,18753,18754],{},"DB 重度 \u002F GCP",[395,18756,18757],{},"多 SaaS",[395,18759,18760],{},"server 发现",[395,18762,18763],{},"LC quick demo",[21,18765,521],{"id":521},[36,18767,18768,18774,18780,18786,18792,18798,18809,18814,18820,18826],{},[39,18769,18770,18773],{},[42,18771,18772],{},"description 写清 schema","：LLM 靠 description 决策，写好 column 名 + 业务含义",[39,18775,18776,18779],{},[42,18777,18778],{},"参数化 SQL 必须用","：永远不要让 LLM 拼字符串",[39,18781,18782,18785],{},[42,18783,18784],{},"最小权限 DB user","：给 Agent 专用 user + 只读 \u002F 表级权限",[39,18787,18788,18791],{},[42,18789,18790],{},"OpenTelemetry 配上","：Cloud Trace 或 Grafana 接管，慢查询第一时间发现",[39,18793,18794,18797],{},[42,18795,18796],{},"冷门 source","：先看 prebuilt 工具够不够，不够要自己写",[39,18799,18800,18805,18806,18808],{},[42,18801,18802,18804],{},[204,18803,18179],{}," 调 tool","：上线前用 ",[204,18807,18179],{}," 把每个 tool 跑一遍",[39,18810,18811,18813],{},[42,18812,9720],{},"：GCR 镜像国内拉慢 → 推到 ACR \u002F 阿里云镜像服务",[39,18815,18816,18819],{},[42,18817,18818],{},"Spanner \u002F AlloyDB 锁定","：非 GCP 别选这两个 source",[39,18821,18822,18825],{},[42,18823,18824],{},"多 Agent 共享","：用 IAM scope 隔离 prod \u002F dev \u002F 团队",[39,18827,18828,18831],{},[42,18829,18830],{},"Java SDK 版本","：Spring Boot 项目锁定 toolbox-sdk-java 主版本号",[21,18833,575],{"id":574},[36,18835,18836,18839,18842,18845,18848,18851,18854,18857,18860],{},[39,18837,18838],{},"✅ 要 Agent 安全读写企业数据库",[39,18840,18841],{},"✅ GCP 重度（AlloyDB \u002F Spanner \u002F BigQuery）",[39,18843,18844],{},"✅ 多 Agent 框架（LC + ADK + Claude Desktop）共享数据访问层",[39,18846,18847],{},"✅ 合规 \u002F 审计 \u002F 多租户",[39,18849,18850],{},"✅ Spring Boot \u002F Java 企业栈（Java SDK）",[39,18852,18853],{},"❌ 纯 SaaS 集成（Composio）",[39,18855,18856],{},"❌ MCP server 发现（Smithery）",[39,18858,18859],{},"❌ 不引入 Docker\u002FGo binary 的极简部署",[39,18861,18862,18863],{},"❌ DB schema 频繁变动且不愿维护 ",[204,18864,18096],{},[21,18866,604],{"id":604},[36,18868,18869,18873,18877],{},[39,18870,18871],{},[610,18872,17944],{"href":17943},[39,18874,18875],{},[610,18876,8505],{"href":8504},[39,18878,18879],{},[610,18880,8493],{"href":8492},[21,18882,628],{"id":628},[630,18884,18885,18892,18899,18906,18913],{},[39,18886,18887,18888],{},"MCP Toolbox 官网 ",[610,18889,18890],{"href":18890,"rel":18891},"https:\u002F\u002Fmcp-toolbox.dev\u002F",[639],[39,18893,18894,18895],{},"GitHub googleapis\u002Fmcp-toolbox（前 genai-toolbox） ",[610,18896,18897],{"href":18897,"rel":18898},"https:\u002F\u002Fgithub.com\u002Fgoogleapis\u002Fmcp-toolbox",[639],[39,18900,18901,18902],{},"Google Cloud Blog — MCP Toolbox for Databases supports MCP ",[610,18903,18904],{"href":18904,"rel":18905},"https:\u002F\u002Fcloud.google.com\u002Fblog\u002Fproducts\u002Fai-machine-learning\u002Fmcp-toolbox-for-databases-now-supports-model-context-protocol",[639],[39,18907,18908,18909],{},"Google Cloud Blog — MCP Toolbox Java SDK 公告 ",[610,18910,18911],{"href":18911,"rel":18912},"https:\u002F\u002Fcloud.google.com\u002Fblog\u002Ftopics\u002Fdevelopers-practitioners\u002Fannouncing-the-mcp-toolbox-java-sdk",[639],[39,18914,18915,18916],{},"Google Codelabs — Install & Setup MCP Toolbox for AlloyDB ",[610,18917,18918],{"href":18918,"rel":18919},"https:\u002F\u002Fcodelabs.developers.google.com\u002Fgenai-toolbox-for-alloydb",[639],[662,18921,18922],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":18924},[18925,18926,18927,18928,18929,18930,18931,18932,18933,18934],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":18216,"depth":224,"text":18217},{"id":18288,"depth":224,"text":18289},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fmcp-toolbox.webp","MCP Toolbox for Databases（前 GenAI Toolbox）真实评测：Google 开源的 MCP 数据库网关，让 AI Agent \u002F IDE \u002F 应用通过 MCP 协议安全访问企业数据库。差异点：42+ 数据源（AlloyDB \u002F BigQuery \u002F Cloud SQL \u002F Spanner \u002F Firestore \u002F Bigtable \u002F 自管 PG \u002F MySQL \u002F SQL Server \u002F MongoDB \u002F Redis \u002F Elasticsearch \u002F Neo4j \u002F Snowflake \u002F ClickHouse \u002F Trino 等）+ 内置连接池 + IAM 集成 + OpenTelemetry 可观测 + 声明式 tools.yaml + Python\u002FTS\u002FGo\u002FJava SDK + 兼容 LangChain \u002F LlamaIndex \u002F Genkit \u002F Google ADK + Apache 2.0。",[18938,18941,18944,18947],{"q":18939,"a":18940},"MCP Toolbox 解决什么问题？","Agent 直连数据库有三个痛点：(1) SQL 注入风险；(2) 权限控制（每个 LLM 用户能看到哪些表 \u002F 行）；(3) 工具定义重复。MCP Toolbox 用声明式 tools.yaml 把这些痛点封装：每个 tool 只能跑预定义的参数化 SQL，无法注入；IAM \u002F OAuth2 \u002F OIDC 决定哪些用户可调用哪些 tool；一次定义到处复用（LangChain \u002F ADK \u002F Claude Desktop 共享同一个 Toolbox server）。Google 给它当『企业 AI Agent 与数据库之间的 control plane』。",{"q":18942,"a":18943},"和直接用 MCP PostgreSQL Server 有什么区别？","MCP 官方 PostgreSQL server 是『裸 SQL 执行器』——你给它一个 connection string，Agent 直接发 SELECT。Toolbox 多了：声明式工具（不暴露原始 SQL 给 LLM）+ 连接池（高并发 Agent 不会打挂 DB）+ IAM\u002FOAuth2 鉴权 + OpenTelemetry tracing\u002Fmetrics + 多数据源 + 动态热重载工具配置。换言之 Toolbox = MCP server + 企业治理层。生产部署优先 Toolbox；开发阶段 quick demo 用裸 MCP server 就够。",{"q":18945,"a":18946},"必须用 GCP 吗？","不必须。Toolbox 是开源 Go 程序，能跑在任何 Docker\u002FVM 上，连任何 PostgreSQL \u002F MySQL \u002F SQL Server \u002F MongoDB \u002F Redis \u002F Elasticsearch \u002F Neo4j \u002F Snowflake \u002F ClickHouse \u002F Trino \u002F Oracle \u002F SQLite。但 Spanner \u002F AlloyDB \u002F BigQuery \u002F Bigtable \u002F Firestore \u002F Cloud Storage \u002F Cloud Monitoring 等专属源只有用 GCP 才能发挥价值。非 GCP 用户主要享受的是『连接池 + 声明式工具 + Auth + OTel』，依然有用但 GCP 用户回报最高。",{"q":18948,"a":18949},"和 Composio \u002F Smithery 怎么选？","Toolbox 专门面向『数据库 + 数据源』；Composio 是『SaaS 集成层』（GitHub \u002F Slack \u002F Gmail \u002F Notion 等 1000+ 工具）；Smithery 是『MCP server 注册中心』（去哪里发现 MCP server）。三者互补：Toolbox 解决『让 Agent 读写企业数据库』+ Composio 解决『让 Agent 用 SaaS』+ Smithery 解决『去哪儿找 MCP server』。GCP + 数据库重度场景必上 Toolbox。",[697],{},[1349,1348,1350],[18954,18956],{"plan":18201,"price":707,"features":18955,"notes":1899},"完整功能 + 42+ 数据源 + Python\u002FTS\u002FGo\u002FJava SDK + Docker + OpenTelemetry",{"plan":18207,"price":18957,"features":18958,"notes":18959},"GCP 资源费","在 Cloud Run \u002F GKE 上跑 Toolbox + 集成 IAM","无 Toolbox 单独收费","开源免费（Apache 2.0）","2026-06-21",[18963],"onboarding\u002Fagent-database-access-layer",[18044],{"power":264,"ux":250,"price":264,"cn_support":224,"stability":257},{"title":17707,"description":18936},"MCP Toolbox 评测 2026：Google 出品 MCP 数据库网关，42+ 数据源",[18969,18971,18973,18975,18977],{"name":18970,"url":18890,"accessed":732},"MCP Toolbox 官网",{"name":18972,"url":18897,"accessed":732},"GitHub googleapis\u002Fmcp-toolbox",{"name":18974,"url":18904,"accessed":732},"Google Cloud Blog — MCP Toolbox 公告",{"name":18976,"url":18911,"accessed":732},"Google Cloud Blog — Java SDK 公告",{"name":18978,"url":18918,"accessed":732},"Google Codelabs — Install & Setup","tools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox","Google 出品的 MCP 数据库网关——42+ 数据源 + 声明式工具 + 连接池 + IAM + OpenTelemetry",[1392,18009,18982,18983,745,18984],"database","google","apache-2.0","Google 出品的 MCP 数据库网关——42+ 数据源 + 连接池 + IAM + OpenTelemetry 一站式。GCP 用户首选；非 GCP 也能用，但价值打折。声明式 tools.yaml 学习曲线偏陡。","Y8Ak1TnnZ0cfHzYPnWHmS13TUswtPBFD8QVo9fyeZwU",{"id":18988,"title":17704,"alternatives":18989,"api_compatible":16,"body":18990,"category":18009,"chinese_friendly":250,"cover":19666,"description":19667,"domestic":680,"extension":681,"faq":19668,"free":680,"github":19622,"languages":19681,"lastVerified":16,"meta":19682,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":17943,"pillar":700,"platforms":19683,"priceTable":19684,"pricing":19700,"published":18961,"relatedPlaybooks":19701,"relatedReviews":19703,"score":19705,"self_host":253,"seo":19706,"seoTitle":19707,"slug":17199,"sources":19708,"stem":19721,"suitable":16,"tagline":19722,"tags":19723,"updated":732,"verdict":19726,"website":19615,"__hash__":19727},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fsmithery.md",[7924,17200,13],{"type":18,"value":18991,"toc":19654},[18992,18994,19016,19019,19021,19093,19095,19118,19123,19127,19131,19162,19166,19192,19196,19319,19322,19324,19489,19491,19559,19561,19590,19592,19606,19608,19652],[21,18993,24],{"id":23},[26,18995,18996,18997,5798,19000,19003,19004,19007,19008,19011,19012,19015],{},"Smithery.ai 是 MCP server 的『npm registry + 一键安装器』，2024 年成立，2026 年已收录 3300+ MCP server。差异点：",[42,18998,18999],{},"一键 CLI 安装",[204,19001,19002],{},"npx @smithery\u002Fcli install \u003Cserver> --client claude"," 自动改配置文件）+ ",[42,19005,19006],{},"远程托管","（Smithery infra 跑 server，HTTP 直连，无需本地 Node.js）+ ",[42,19009,19010],{},"本地分发","（TypeScript bundle 一键 import）+ ",[42,19013,19014],{},"自托管注册","（用 Smithery 做 directory，server 跑你自己机器）+ TypeScript \u002F Python SDK（FastMCP v1\u002Fv2）+ STDIO\u002FHTTP 传输 + 安全扫描 + 社区评分（winnoai 4.0\u002F5，108 reviews）。",[26,19017,19018],{},"适合：Claude Desktop \u002F Cursor \u002F Windsurf \u002F Cline \u002F Codex 等 MCP 客户端用户；MCP server 开发者要发布 + 一键分发；想快速试一个 MCP server 不愿意手写 JSON 的；MCP 生态调研。不适合：极致安全 + 闭源场景（用官方 MCP Registry 或自建）；TypeScript 之外的 server 一键分发（本地 bundle 当前 TS only）；创作者要直接分成（Smithery 无 monetization）。",[21,19020,34],{"id":34},[36,19022,19023,19029,19037,19043,19049,19054,19059,19064,19069,19075,19081,19087],{},[39,19024,19025,19028],{},[42,19026,19027],{},"3300+ MCP server 注册中心","（业界最大之一）",[39,19030,19031,5072,19034],{},[42,19032,19033],{},"CLI 一键安装",[204,19035,19036],{},"npx @smithery\u002Fcli install \u003Cserver> --client \u003Cclaude\u002Fcursor\u002Fwindsurf\u002Fcline\u002Fcodex>",[39,19038,19039,19042],{},[42,19040,19041],{},"三种部署","：远程托管 \u002F 本地分发 \u002F 自托管注册",[39,19044,19045,19048],{},[42,19046,19047],{},"多客户端兼容","：Claude Desktop \u002F Cursor \u002F Windsurf \u002F Cline \u002F Codex \u002F Continue 等",[39,19050,19051],{},[42,19052,19053],{},"TypeScript SDK + Python SDK（FastMCP v1\u002Fv2）",[39,19055,19056],{},[42,19057,19058],{},"STDIO + HTTP 传输",[39,19060,19061],{},[42,19062,19063],{},"安全扫描 + 版本管理 + 依赖解析",[39,19065,19066],{},[42,19067,19068],{},"社区评分 + reviews",[39,19070,19071,19074],{},[42,19072,19073],{},"分类浏览","：Development \u002F Productivity \u002F Data \u002F APIs",[39,19076,19077,19080],{},[42,19078,19079],{},"server 发布平台","：开发者 publish 自己的 server",[39,19082,19083,19086],{},[42,19084,19085],{},"基础分析","：调用量 \u002F 错误率",[39,19088,19089,19092],{},[42,19090,19091],{},"CLI 跨平台","：Win \u002F macOS \u002F Linux",[21,19094,108],{"id":108},[36,19096,19097,19102,19107,19112],{},[39,19098,19099,19101],{},[42,19100,843],{},"：$0；浏览全部 + 10 安装额度",[39,19103,19104,19106],{},[42,19105,849],{},"：$19\u002Fmo；无限安装 + 自定义 server 托管 + 高级分析",[39,19108,19109,19111],{},[42,19110,867],{},"：$49\u002Fmo；SSO + 团队 server 注册",[39,19113,19114,19117],{},[42,19115,19116],{},"Hosted","：按用量；server 跑在 Smithery infra",[130,19119,19120],{},[26,19121,19122],{},"列出 server 永远免费、浏览永远免费；安装免费 server 有 10 次限额（Free 档）。Pro 主要解锁『无限安装 + 自定义 server 远程托管』。",[21,19124,19126],{"id":19125},"实测claude-desktop-5-个-server","实测（Claude Desktop + 5 个 server）",[26,19128,19129],{},[42,19130,143],{},[36,19132,19133,19136,19143,19146,19149,19156,19159],{},[39,19134,19135],{},"装 PostgreSQL \u002F GitHub \u002F Filesystem \u002F Slack \u002F Playwright server 全部 \u003C 30 秒",[39,19137,19138,19139,19142],{},"CLI 自动改 ",[204,19140,19141],{},"claude_desktop_config.json","，不用手写 JSON",[39,19144,19145],{},"远程托管让低配 Mac 也能跑重型 server",[39,19147,19148],{},"server 详情页有 README + 评分 + 示例 prompt，决策成本低",[39,19150,19151,19152,19155],{},"多客户端切换无痛（",[204,19153,19154],{},"--client cursor"," 换个 flag）",[39,19157,19158],{},"自托管 + 注册让企业既享发现又控运行",[39,19160,19161],{},"3300+ server 业界最广，长尾需求基本能找到",[26,19163,19164],{},[42,19165,168],{},[36,19167,19168,19171,19174,19177,19180,19183,19186,19189],{},[39,19169,19170],{},"2025-06 path traversal 漏洞（已修复，但提示要审 server）",[39,19172,19173],{},"server 质量参差，需自己看 GitHub star + 维护活跃度",[39,19175,19176],{},"部分 server 文档浅，参数靠猜",[39,19178,19179],{},"远程托管 server 偶有冷启动延迟",[39,19181,19182],{},"创作者无 monetization（开源情怀）",[39,19184,19185],{},"本地分发当前 TypeScript only",[39,19187,19188],{},"国内访问 Smithery infra 偶发慢",[39,19190,19191],{},"Free 档 10 次安装上限对长期用户太紧",[21,19193,19195],{"id":19194},"上手5-分钟","上手（5 分钟）",[197,19197,19199],{"className":199,"code":19198,"language":201,"meta":202,"style":202},"# 1. 安装 CLI\nnpm install -g @smithery\u002Fcli\n\n# 2. 搜索\nsmithery search postgres\n\n# 3. 装到 Claude Desktop\nsmithery install @modelcontextprotocol\u002Fserver-postgres --client claude\n\n# 4. 装到 Cursor\nsmithery install @modelcontextprotocol\u002Fserver-filesystem --client cursor\n\n# 5. 列出已装\nsmithery list --client claude\n\n# 发布自己的 server\nsmithery publish\n",[204,19200,19201,19206,19217,19221,19226,19236,19240,19245,19260,19264,19269,19283,19287,19292,19303,19307,19312],{"__ignoreMap":202},[207,19202,19203],{"class":209,"line":210},[207,19204,19205],{"class":260},"# 1. 安装 CLI\n",[207,19207,19208,19210,19212,19214],{"class":209,"line":224},[207,19209,1600],{"class":213},[207,19211,241],{"class":217},[207,19213,1605],{"class":227},[207,19215,19216],{"class":217}," @smithery\u002Fcli\n",[207,19218,19219],{"class":209,"line":250},[207,19220,254],{"emptyLinePlaceholder":253},[207,19222,19223],{"class":209,"line":257},[207,19224,19225],{"class":260},"# 2. 搜索\n",[207,19227,19228,19231,19234],{"class":209,"line":264},[207,19229,19230],{"class":213},"smithery",[207,19232,19233],{"class":217}," search",[207,19235,18353],{"class":217},[207,19237,19238],{"class":209,"line":276},[207,19239,254],{"emptyLinePlaceholder":253},[207,19241,19242],{"class":209,"line":281},[207,19243,19244],{"class":260},"# 3. 装到 Claude Desktop\n",[207,19246,19247,19249,19251,19254,19257],{"class":209,"line":287},[207,19248,19230],{"class":213},[207,19250,241],{"class":217},[207,19252,19253],{"class":217}," @modelcontextprotocol\u002Fserver-postgres",[207,19255,19256],{"class":227}," --client",[207,19258,19259],{"class":217}," claude\n",[207,19261,19262],{"class":209,"line":321},[207,19263,254],{"emptyLinePlaceholder":253},[207,19265,19266],{"class":209,"line":326},[207,19267,19268],{"class":260},"# 4. 装到 Cursor\n",[207,19270,19271,19273,19275,19278,19280],{"class":209,"line":332},[207,19272,19230],{"class":213},[207,19274,241],{"class":217},[207,19276,19277],{"class":217}," @modelcontextprotocol\u002Fserver-filesystem",[207,19279,19256],{"class":227},[207,19281,19282],{"class":217}," cursor\n",[207,19284,19285],{"class":209,"line":344},[207,19286,254],{"emptyLinePlaceholder":253},[207,19288,19289],{"class":209,"line":355},[207,19290,19291],{"class":260},"# 5. 列出已装\n",[207,19293,19294,19296,19299,19301],{"class":209,"line":1669},[207,19295,19230],{"class":213},[207,19297,19298],{"class":217}," list",[207,19300,19256],{"class":227},[207,19302,19259],{"class":217},[207,19304,19305],{"class":209,"line":1675},[207,19306,254],{"emptyLinePlaceholder":253},[207,19308,19309],{"class":209,"line":1681},[207,19310,19311],{"class":260},"# 发布自己的 server\n",[207,19313,19314,19316],{"class":209,"line":1686},[207,19315,19230],{"class":213},[207,19317,19318],{"class":217}," publish\n",[26,19320,19321],{},"安装后重启 Claude \u002F Cursor \u002F Windsurf，MCP server 自动 spawn，模型即可调用。",[21,19323,364],{"id":364},[366,19325,19326,19344],{},[369,19327,19328],{},[372,19329,19330,19332,19334,19337,19340,19342],{},[375,19331,377],{},[375,19333,17704],{},[375,19335,19336],{},"官方 MCP Registry",[375,19338,19339],{},"mcp.so",[375,19341,17197],{},[375,19343,17707],{},[390,19345,19346,19365,19380,19394,19412,19427,19441,19456,19471],{},[372,19347,19348,19351,19354,19357,19360,19362],{},[395,19349,19350],{},"server 数",[395,19352,19353],{},"3300+",[395,19355,19356],{},"命名空间验证",[395,19358,19359],{},"大目录",[395,19361,18646],{},[395,19363,19364],{},"42+ DB",[372,19366,19367,19370,19372,19374,19376,19378],{},[395,19368,19369],{},"一键 CLI",[395,19371,1070],{},[395,19373,426],{},[395,19375,426],{},[395,19377,18661],{},[395,19379,18661],{},[372,19381,19382,19384,19386,19388,19390,19392],{},[395,19383,19006],{},[395,19385,1100],{},[395,19387,426],{},[395,19389,426],{},[395,19391,1100],{},[395,19393,7433],{},[372,19395,19396,19399,19402,19405,19407,19410],{},[395,19397,19398],{},"多客户端配置",[395,19400,19401],{},"✅ 自动",[395,19403,19404],{},"❌ 手动",[395,19406,426],{},[395,19408,19409],{},"LC\u002FCrewAI\u002FAutogen",[395,19411,1850],{},[372,19413,19414,19417,19419,19421,19423,19425],{},[395,19415,19416],{},"安全扫描",[395,19418,1100],{},[395,19420,426],{},[395,19422,426],{},[395,19424,10682],{},[395,19426,426],{},[372,19428,19429,19431,19433,19435,19437,19439],{},[395,19430,7433],{},[395,19432,1100],{},[395,19434,15183],{},[395,19436,426],{},[395,19438,426],{},[395,19440,1100],{},[372,19442,19443,19445,19447,19450,19452,19454],{},[395,19444,1152],{},[395,19446,843],{},[395,19448,19449],{},"Free OSS",[395,19451,843],{},[395,19453,17816],{},[395,19455,17821],{},[372,19457,19458,19461,19463,19465,19467,19469],{},[395,19459,19460],{},"创作者分成",[395,19462,426],{},[395,19464,426],{},[395,19466,426],{},[395,19468,426],{},[395,19470,426],{},[372,19472,19473,19475,19478,19481,19484,19486],{},[395,19474,506],{},[395,19476,19477],{},"日常装 \u002F 发现",[395,19479,19480],{},"命名空间权威",[395,19482,19483],{},"大目录浏览",[395,19485,18630],{},[395,19487,19488],{},"DB 网关",[21,19490,521],{"id":521},[36,19492,19493,19503,19512,19518,19524,19530,19536,19541,19547,19553],{},[39,19494,19495,19498,19499,19502],{},[42,19496,19497],{},"server 来源审查","：优先 ",[204,19500,19501],{},"@modelcontextprotocol\u002F*"," 等官方组织",[39,19504,19505,19507,19508,19511],{},[42,19506,10735],{},"：生产环境 ",[204,19509,19510],{},"--version"," 锁定，不要 latest",[39,19513,19514,19517],{},[42,19515,19516],{},"隔离 token","：每个 server 用独立 OAuth scope \u002F API key",[39,19519,19520,19523],{},[42,19521,19522],{},"filesystem server 路径限制","：明确白名单目录，避免 path traversal",[39,19525,19526,19529],{},[42,19527,19528],{},"远程托管延迟","：高频调用用本地；低频用 hosted 省心",[39,19531,19532,19535],{},[42,19533,19534],{},"重启客户端","：装完必须重启 Claude Desktop \u002F Cursor，否则不加载",[39,19537,19538,19540],{},[42,19539,9720],{},"：CLI 走 npm registry 国内偶发慢，用 cnpm \u002F 镜像",[39,19542,19543,19546],{},[42,19544,19545],{},"付费档","：Pro 主要换『无限安装 + 自定义 server hosting』，没此需求 Free 够",[39,19548,19549,19552],{},[42,19550,19551],{},"官方 Registry 双重发布","：发布到 Smithery 同时发到 modelcontextprotocol.io，覆盖更广",[39,19554,19555,19558],{},[42,19556,19557],{},"2025-06 漏洞","：CLI 升到最新版（已修复）",[21,19560,575],{"id":574},[36,19562,19563,19566,19569,19572,19575,19578,19581,19584,19587],{},[39,19564,19565],{},"✅ Claude Desktop \u002F Cursor \u002F Windsurf \u002F Cline \u002F Codex 用户",[39,19567,19568],{},"✅ 快速试 server 不愿手写 JSON",[39,19570,19571],{},"✅ MCP server 开发者要分发",[39,19573,19574],{},"✅ MCP 生态调研",[39,19576,19577],{},"✅ 团队共享 server 注册",[39,19579,19580],{},"❌ 极致安全 + 闭源（用官方 Registry \u002F 自建）",[39,19582,19583],{},"❌ 创作者要分成（Smithery 无 monetization）",[39,19585,19586],{},"❌ 非 TypeScript server 本地分发",[39,19588,19589],{},"❌ 完全离线 \u002F 内网（注册中心在公网）",[21,19591,604],{"id":604},[36,19593,19594,19598,19602],{},[39,19595,19596],{},[610,19597,8505],{"href":8504},[39,19599,19600],{},[610,19601,17950],{"href":17949},[39,19603,19604],{},[610,19605,613],{"href":612},[21,19607,628],{"id":628},[630,19609,19610,19617,19624,19631,19638,19645],{},[39,19611,19612,19613],{},"Smithery 官网 + Pricing ",[610,19614,19615],{"href":19615,"rel":19616},"https:\u002F\u002Fsmithery.ai",[639],[39,19618,19619,19620],{},"Smithery CLI GitHub ",[610,19621,19622],{"href":19622,"rel":19623},"https:\u002F\u002Fgithub.com\u002Fsmithery-ai\u002Fcli",[639],[39,19625,19626,19627],{},"winnoai — Smithery Review 2026 + 4.0\u002F5 + 108 reviews ",[610,19628,19629],{"href":19629,"rel":19630},"https:\u002F\u002Fwinnoai.com\u002Fen\u002Ftools\u002Fsmithery",[639],[39,19632,19633,19634],{},"MCPize — Smithery Complete Guide 2026 + 3305 server + path traversal 漏洞 ",[610,19635,19636],{"href":19636,"rel":19637},"https:\u002F\u002Fmcpize.com\u002Falternatives\u002Fsmithery",[639],[39,19639,19640,19641],{},"Augment Code — Official MCP Registry 对比 ",[610,19642,19643],{"href":19643,"rel":19644},"https:\u002F\u002Fwww.augmentcode.com\u002Fmcp\u002Fmcp-registry",[639],[39,19646,19647,19648],{},"CallSphere — MCP Registry Catalogs 2026 (Smithery vs mcp.so) ",[610,19649,19650],{"href":19650,"rel":19651},"https:\u002F\u002Fcallsphere.ai\u002Fblog\u002Fvw4g-mcp-registry-catalogs-smithery-mcp-so-comparison-2026",[639],[662,19653,14258],{},{"title":202,"searchDepth":250,"depth":250,"links":19655},[19656,19657,19658,19659,19660,19661,19662,19663,19664,19665],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":19125,"depth":224,"text":19126},{"id":19194,"depth":224,"text":19195},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fsmithery.webp","Smithery.ai 真实评测：MCP server 的『npm registry』，2024 年成立，2026 年已收录 3300+ MCP server。差异点：一键 CLI 安装到 Claude Desktop \u002F Cursor \u002F Windsurf \u002F Cline \u002F Codex 等 MCP 客户端 + 远程托管（Smithery infra 自动扩缩）+ 本地分发（TypeScript bundle）+ 自托管注册 + TypeScript \u002F Python SDK（FastMCP v1\u002Fv2）+ STDIO\u002FHTTP 传输 + 安全扫描 + 社区评分。",[19669,19672,19675,19678],{"q":19670,"a":19671},"Smithery 解决什么问题？","MCP（Model Context Protocol）是 Anthropic 2024 开源的标准，让 AI 模型通过统一协议调用外部工具。问题是每个 MCP server 要单独 clone \u002F 配 npm \u002F 改 Claude Desktop JSON \u002F 启动——每接一个 server 要 10-20 分钟。Smithery 做三件事：(1) Registry：收录 3300+ MCP server，按类别 \u002F 评分搜索；(2) 一键安装 CLI：`npx @smithery\u002Fcli install \u003Cserver> --client claude` 自动改 Claude\u002FCursor\u002FWindsurf 配置文件；(3) 远程托管：把 server 跑在 Smithery infra，AI 客户端用 HTTP 直连，无需本地 Node.js。",{"q":19673,"a":19674},"和 mcp.so \u002F 官方 MCP Registry \u002F Glama \u002F PulseMCP 怎么选？","2026 年 MCP 注册中心已经四分天下：(1) 官方 MCP Registry（modelcontextprotocol.io）= 命名空间验证 + REST API，6.6K star，权威但没有一键安装；(2) Smithery = 一键 CLI + 远程托管 + 3300+ server，体验最好但创作者不分成；(3) mcp.so \u002F Glama = 大目录，无 CLI 集成；(4) PulseMCP = 偏新闻 + 趋势。日常装 server 用 Smithery，发布到官方注册中心扩大影响力。",{"q":19676,"a":19677},"Smithery 装的 server 安全吗？","Smithery 本身只做索引 + CLI 安装，server 代码是社区上传。2025-06 GitGuardian 披露过 Smithery 平台 path traversal 漏洞（已修复）。建议：(1) 只装 star 多 \u002F 社区评分高的 server；(2) 看 GitHub repo 是否来自官方组织（如 `@modelcontextprotocol\u002F*`）；(3) 生产环境用自托管 + 锁定版本 + 启动前 audit；(4) 启用 Smithery 安全扫描 + Pro 档的 server 审核报告。",{"q":19679,"a":19680},"和 Composio \u002F MCP Toolbox 怎么选？","Smithery = 『去哪儿找 MCP server + 一键装』；Composio = 『1000+ SaaS 工具 + 托管 OAuth + 多框架』；MCP Toolbox = 『42+ 数据源 + 连接池 + IAM』。三者互补：用 Smithery 找 server \u002F Composio 集成 SaaS \u002F Toolbox 接数据库。Claude Desktop \u002F Cursor 用户日常先装 Smithery；生产 agent 平台叠加 Composio + Toolbox。",[697],{},[1349,1348,1350,704],[19685,19688,19692,19696],{"plan":843,"price":707,"features":19686,"notes":19687},"浏览全部 server + 10 安装额度 + 基础分析 + 社区支持","学习 \u002F 试水",{"plan":849,"price":19689,"features":19690,"notes":19691},"$19\u002Fmo","无限安装 + 高级分析 + 优先支持 + 自定义 server 托管","个人开发者",{"plan":867,"price":19693,"features":19694,"notes":19695},"$49\u002Fmo","团队管理 + 共享 server 注册 + SSO + 专属支持","团队部署",{"plan":19116,"price":19697,"features":19698,"notes":19699},"按用量","Smithery 远程托管 server + 自动扩缩 + 监控","生产 server","免费浏览 + 免费列出 \u002F Pro $19\u002Fmo 无限安装 \u002F Team $49\u002Fmo \u002F 托管按用量",[19702],"onboarding\u002Fmcp-server-selection",[19704,18044],"claude-skills-practice",{"power":257,"ux":257,"price":264,"cn_support":250,"stability":250},{"title":17704,"description":19667},"Smithery 评测 2026：MCP Server 注册中心，3300+ 一键安装",[19709,19711,19713,19715,19717,19719],{"name":19710,"url":19615,"accessed":732},"Smithery 官网",{"name":19712,"url":19622,"accessed":732},"Smithery CLI GitHub",{"name":19714,"url":19629,"accessed":732},"winnoai — Smithery Review 2026 + 4.0\u002F5 + 108",{"name":19716,"url":19636,"accessed":732},"MCPize — Smithery Complete Guide 2026",{"name":19718,"url":19643,"accessed":732},"Augment Code — Official MCP Registry",{"name":19720,"url":19650,"accessed":732},"CallSphere — MCP Registry Catalogs 2026","tools\u002Fagent\u002Fprotocol\u002Fsmithery","MCP server 注册中心——3300+ server + 一键安装 + 远程托管 + CLI + 多客户端",[1392,18009,19724,19725,745],"server-registry","marketplace","MCP 生态的 npm + 一键安装器。3300+ server 业界最广，找 server 用它没毛病。但 server 质量参差，生产用要自己审 + 注意 2025-06 的 path traversal 漏洞史。","gGygKMEvR3LSKwwGhy6OdfrVIkTTGl2KqjgJ6TiZjI0",{"id":19729,"title":19730,"alternatives":19731,"api_compatible":16,"body":19734,"category":20391,"chinese_friendly":250,"cover":20392,"description":20393,"domestic":680,"extension":681,"faq":20394,"free":680,"github":16,"languages":20407,"lastVerified":16,"meta":20408,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":20409,"pillar":700,"platforms":20410,"priceTable":20411,"pricing":20426,"published":18961,"relatedPlaybooks":20427,"relatedReviews":20429,"score":20430,"self_host":680,"seo":20431,"seoTitle":20432,"slug":20433,"sources":20434,"stem":20447,"suitable":16,"tagline":20448,"tags":20449,"updated":732,"verdict":20451,"website":20339,"__hash__":20452},"tools\u002Ftools\u002Fagent\u002Fskills\u002Fclaude-skills.md","Claude Skills",[19732,19733,13],"agent\u002Fskills\u002Fcursor-rules-hub","agent\u002Fskills\u002Fgpt-store",{"type":18,"value":19735,"toc":20379},[19736,19738,19757,19760,19762,19842,19844,19875,19880,19884,19888,19914,19918,19944,19948,19954,19959,20047,20050,20052,20210,20212,20279,20281,20310,20312,20330,20332,20376],[21,19737,24],{"id":23},[26,19739,19740,19741,19744,19745,19748,19749,19752,19753,19756],{},"Claude Skills 是 Anthropic 推出的 Agent 能力系统：一个 SKILL.md 文件 = 一组能力，Claude 看到匹配任务自动按需加载，不污染 context。配合 2026-03-06 上线的 ",[42,19742,19743],{},"Claude Marketplace","（B2B 企业版『App Store』，首批 Snowflake \u002F GitLab \u002F Harvey AI \u002F Replit \u002F Rogo \u002F Lovable Labs，Anthropic ",[42,19746,19747],{},"零佣金","），构成 Anthropic 在 Agent 能力分发上的双层架构：(1) ",[42,19750,19751],{},"协议层","：SKILL.md 跨 Claude \u002F Cursor \u002F Codex CLI \u002F Windsurf \u002F Copilot \u002F MCP 兼容工具；(2) ",[42,19754,19755],{},"分发层","：Claude Marketplace 让企业用已有 Anthropic 年度承诺额度直接采购第三方 Claude-powered 软件。",[26,19758,19759],{},"适合：Claude Code \u002F Claude Desktop 用户；要复用 Agent 工作流的团队；要写一份能力跑多工具的（SKILL.md 跨平台）；企业有 Anthropic 承诺额度想统一 AI 采购。不适合：纯非 Claude 栈 + 不想学 SKILL.md（用 .cursorrules）；C 端 monetize（用 GPT Store）；要 100% 控制 + 闭源 + 自托管（自己用 prompt + RAG）。",[21,19761,34],{"id":34},[36,19763,19764,19770,19776,19790,19796,19802,19807,19813,19818,19824,19830,19836],{},[39,19765,19766,19769],{},[42,19767,19768],{},"SKILL.md 协议","：一个目录 = 一个 Skill，YAML frontmatter + Markdown 步骤",[39,19771,19772,19775],{},[42,19773,19774],{},"按需加载","：Claude 看到匹配任务才注入，不污染 context",[39,19777,19778,5072,19781,6035,19784,6035,19787],{},[42,19779,19780],{},"支持脚本 + 模板 + 参考",[204,19782,19783],{},"scripts\u002F",[204,19785,19786],{},"templates\u002F",[204,19788,19789],{},"references\u002F",[39,19791,19792,19795],{},[42,19793,19794],{},"触发条件","：description + 关键词，Claude 自主判断",[39,19797,19798,19801],{},[42,19799,19800],{},"跨工具开放","：SKILL.md 标准跑在 Cursor \u002F Codex CLI \u002F Windsurf \u002F Copilot \u002F MCP",[39,19803,19804,19806],{},[42,19805,19743],{},"（2026-03）：企业承诺额度采购第三方 Claude 软件，零佣金",[39,19808,19809,19812],{},[42,19810,19811],{},"首批合作伙伴","：Snowflake \u002F GitLab \u002F Harvey AI \u002F Replit \u002F Rogo \u002F Lovable Labs",[39,19814,19815,19817],{},[42,19816,17278],{},"：SSO \u002F audit \u002F 私有 Skills \u002F 高 context",[39,19819,19820,19823],{},[42,19821,19822],{},"Claude Code 集成","：Claude Code 自带 skill 系统",[39,19825,19826,19829],{},[42,19827,19828],{},"社区共享","：GitHub + skills-hub.ai 等聚合（4400+ rules\u002Fskills）",[39,19831,19832,19835],{},[42,19833,19834],{},"可 git 版本化","：Skill 就是代码仓库",[39,19837,19838,19841],{},[42,19839,19840],{},"diff \u002F review 友好","：能力变更走 PR 流程",[21,19843,108],{"id":108},[36,19845,19846,19852,19858,19864,19870],{},[39,19847,19848,19851],{},[42,19849,19850],{},"Claude Free","：$0",[39,19853,19854,19857],{},[42,19855,19856],{},"Claude Pro","：$20\u002Fmo（个人 Skills 库）",[39,19859,19860,19863],{},[42,19861,19862],{},"Claude Team","：$30\u002Fseat\u002Fmo（团队共享）",[39,19865,19866,19869],{},[42,19867,19868],{},"Claude Enterprise","：联系销售（SSO + audit + 私有）",[39,19871,19872,19874],{},[42,19873,19743],{},"：承诺额度抵扣，Anthropic 零佣金",[130,19876,19877],{},[26,19878,19879],{},"Anthropic 2026 公开数据：run-rate revenue $14B，年增长 10x，年度花费 $100k+ 客户数同比 7x。Marketplace 是这群企业的采购统一入口。",[21,19881,19883],{"id":19882},"实测claude-code-自定义-skill","实测（Claude Code + 自定义 Skill）",[26,19885,19886],{},[42,19887,143],{},[36,19889,19890,19893,19896,19899,19902,19905,19908,19911],{},[39,19891,19892],{},"5 分钟写一个 deploy-to-vercel skill，Claude 看到『部署』自动加载",[39,19894,19895],{},"按需加载比 .cursorrules 全局注入省 30-50% token",[39,19897,19898],{},"Skill 可附 scripts + templates + references，复杂任务自包含",[39,19900,19901],{},"SKILL.md 标准在 Cursor \u002F Codex CLI 也能消费，跨工具复用",[39,19903,19904],{},"Claude Marketplace 让企业采购 AI 软件不用走 procurement",[39,19906,19907],{},"Snowflake \u002F GitLab \u002F Harvey AI 等大客户背书 = 生态正在成熟",[39,19909,19910],{},"git diff 友好，PR review 能力变更",[39,19912,19913],{},"社区已有 skills-hub.ai 等聚合，4400+ rules\u002Fskills 可选",[26,19915,19916],{},[42,19917,168],{},[36,19919,19920,19923,19926,19929,19932,19935,19938,19941],{},[39,19921,19922],{},"SKILL.md 协议官方文档仍在演化，cutting-edge feature 偶有 breaking change",[39,19924,19925],{},"触发逻辑黑盒——Skill 偶尔不被加载，要靠 description 关键词调优",[39,19927,19928],{},"中文 SKILL.md 触发偶发漏，关键词加英文 fallback 更稳",[39,19930,19931],{},"Claude Marketplace 当前 limited preview，国内企业暂无法采购",[39,19933,19934],{},"国内访问 Claude 仍受限，需正规渠道",[39,19936,19937],{},"Skill 之间冲突时优先级文档不清",[39,19939,19940],{},"企业 audit log 在 Pro 档不全",[39,19942,19943],{},"跨工具兼容性差异：Cursor 对 globs 友好，Codex 对 always-attached 友好",[21,19945,19947],{"id":19946},"上手5-分钟写一个-skill","上手（5 分钟写一个 Skill）",[197,19949,19952],{"className":19950,"code":19951,"language":6177},[6175],"my-skills\u002F\n  deploy-to-vercel\u002F\n    SKILL.md\n    scripts\u002F\n      deploy.sh\n    templates\u002F\n      vercel.json\n",[204,19953,19951],{"__ignoreMap":202},[26,19955,19956,5072],{},[204,19957,19958],{},"SKILL.md",[197,19960,19964],{"className":19961,"code":19962,"language":19963,"meta":202,"style":202},"language-markdown shiki shiki-themes github-light github-dark","---\nname: deploy-to-vercel\ndescription: Deploy a Nuxt \u002F Next project to Vercel production\ntriggers: [\"deploy to vercel\", \"部署到 Vercel\", \"vercel prod\"]\n---\n\n## When to use\nUser asks to deploy a Nuxt\u002FNext project to Vercel production.\n\n## Steps\n1. Verify `vercel.json` exists (use `templates\u002Fvercel.json` if missing).\n2. Run `pnpm build && vercel --prod`.\n3. Return deployment URL + log tail.\n\n## Pitfalls\n- 不要在 dev server 运行时 build（FSWatcher 冲突）。\n- 检查 `NUXT_PUBLIC_*` 环境变量是否在 Vercel project 配置。\n","markdown",[204,19965,19966,19971,19976,19981,19986,19990,19994,19999,20004,20008,20013,20018,20023,20028,20032,20037,20042],{"__ignoreMap":202},[207,19967,19968],{"class":209,"line":210},[207,19969,19970],{},"---\n",[207,19972,19973],{"class":209,"line":224},[207,19974,19975],{},"name: deploy-to-vercel\n",[207,19977,19978],{"class":209,"line":250},[207,19979,19980],{},"description: Deploy a Nuxt \u002F Next project to Vercel production\n",[207,19982,19983],{"class":209,"line":257},[207,19984,19985],{},"triggers: [\"deploy to vercel\", \"部署到 Vercel\", \"vercel prod\"]\n",[207,19987,19988],{"class":209,"line":264},[207,19989,19970],{},[207,19991,19992],{"class":209,"line":276},[207,19993,254],{"emptyLinePlaceholder":253},[207,19995,19996],{"class":209,"line":281},[207,19997,19998],{},"## When to use\n",[207,20000,20001],{"class":209,"line":287},[207,20002,20003],{},"User asks to deploy a Nuxt\u002FNext project to Vercel production.\n",[207,20005,20006],{"class":209,"line":321},[207,20007,254],{"emptyLinePlaceholder":253},[207,20009,20010],{"class":209,"line":326},[207,20011,20012],{},"## Steps\n",[207,20014,20015],{"class":209,"line":332},[207,20016,20017],{},"1. Verify `vercel.json` exists (use `templates\u002Fvercel.json` if missing).\n",[207,20019,20020],{"class":209,"line":344},[207,20021,20022],{},"2. Run `pnpm build && vercel --prod`.\n",[207,20024,20025],{"class":209,"line":355},[207,20026,20027],{},"3. Return deployment URL + log tail.\n",[207,20029,20030],{"class":209,"line":1669},[207,20031,254],{"emptyLinePlaceholder":253},[207,20033,20034],{"class":209,"line":1675},[207,20035,20036],{},"## Pitfalls\n",[207,20038,20039],{"class":209,"line":1681},[207,20040,20041],{},"- 不要在 dev server 运行时 build（FSWatcher 冲突）。\n",[207,20043,20044],{"class":209,"line":1686},[207,20045,20046],{},"- 检查 `NUXT_PUBLIC_*` 环境变量是否在 Vercel project 配置。\n",[26,20048,20049],{},"Claude 看到『部署到 Vercel』自动加载这个 Skill 并按 Steps 执行。",[21,20051,364],{"id":364},[366,20053,20054,20071],{},[369,20055,20056],{},[372,20057,20058,20060,20062,20065,20068],{},[375,20059,377],{},[375,20061,19730],{},[375,20063,20064],{},"Cursor Rules",[375,20066,20067],{},"GPT Custom GPT",[375,20069,20070],{},"LangChain Tool",[390,20072,20073,20090,20103,20119,20135,20149,20162,20179,20194],{},[372,20074,20075,20078,20081,20084,20087],{},[395,20076,20077],{},"加载方式",[395,20079,20080],{},"按需",[395,20082,20083],{},"全局注入",[395,20085,20086],{},"永久驻留",[395,20088,20089],{},"代码注册",[372,20091,20092,20095,20097,20099,20101],{},[395,20093,20094],{},"context 污染",[395,20096,10650],{},[395,20098,2461],{},[395,20100,2458],{},[395,20102,18661],{},[372,20104,20105,20108,20111,20114,20117],{},[395,20106,20107],{},"跨工具",[395,20109,20110],{},"✅ SKILL.md 标准",[395,20112,20113],{},"Cursor only",[395,20115,20116],{},"ChatGPT only",[395,20118,18722],{},[372,20120,20121,20124,20127,20129,20132],{},[395,20122,20123],{},"写法",[395,20125,20126],{},"Markdown",[395,20128,20126],{},[395,20130,20131],{},"图形 + 自然语言",[395,20133,20134],{},"Python",[372,20136,20137,20140,20142,20144,20147],{},[395,20138,20139],{},"模板 + 脚本",[395,20141,1100],{},[395,20143,426],{},[395,20145,20146],{},"Knowledge 文件",[395,20148,18706],{},[372,20150,20151,20154,20156,20158,20160],{},[395,20152,20153],{},"git 友好",[395,20155,1100],{},[395,20157,1100],{},[395,20159,426],{},[395,20161,1100],{},[372,20163,20164,20167,20170,20173,20176],{},[395,20165,20166],{},"企业分发",[395,20168,20169],{},"✅ Marketplace",[395,20171,20172],{},"团队同步",[395,20174,20175],{},"GPT Store",[395,20177,20178],{},"自建",[372,20180,20181,20183,20186,20189,20192],{},[395,20182,1152],{},[395,20184,20185],{},"$20\u002Fmo",[395,20187,20188],{},"Cursor $20\u002Fmo",[395,20190,20191],{},"ChatGPT Plus $20",[395,20193,18201],{},[372,20195,20196,20198,20201,20204,20207],{},[395,20197,506],{},[395,20199,20200],{},"Claude + 跨工具",[395,20202,20203],{},"Cursor 项目",[395,20205,20206],{},"C 端 GPT",[395,20208,20209],{},"LC 项目",[21,20211,521],{"id":521},[36,20213,20214,20220,20226,20232,20238,20244,20256,20262,20267,20273],{},[39,20215,20216,20219],{},[42,20217,20218],{},"description 写关键词","：中文 + 英文 + 同义词都列，提高触发率",[39,20221,20222,20225],{},[42,20223,20224],{},"Skill 粒度","：一个 Skill 解决一类任务，过粗 \u002F 过细都降效",[39,20227,20228,20231],{},[42,20229,20230],{},"triggers 字段","：明确高频触发词，减少黑盒",[39,20233,20234,20237],{},[42,20235,20236],{},"scripts 幂等","：可重跑不副作用",[39,20239,20240,20243],{},[42,20241,20242],{},"templates 完整","：让 Skill 自给自足，不依赖外部",[39,20245,20246,20249,20250,6035,20253,2337],{},[42,20247,20248],{},"冲突优先级","：同类 Skill 用不同 name 前缀（",[204,20251,20252],{},"vercel-",[204,20254,20255],{},"netlify-",[39,20257,20258,20261],{},[42,20259,20260],{},"企业 audit","：Pro 档 audit 不全，要 Enterprise",[39,20263,20264,20266],{},[42,20265,9720],{},"：Claude 走正规渠道；Marketplace 暂时国内不可用",[39,20268,20269,20272],{},[42,20270,20271],{},"跨工具发布","：用 skills-hub.ai 等聚合分发到 Cursor \u002F Codex",[39,20274,20275,20278],{},[42,20276,20277],{},"不要藏密钥","：SKILL.md 仓库 review 时容易泄露",[21,20280,575],{"id":574},[36,20282,20283,20286,20289,20292,20295,20298,20301,20304,20307],{},[39,20284,20285],{},"✅ Claude Code \u002F Claude Desktop 用户",[39,20287,20288],{},"✅ 要写一份能力跑多工具",[39,20290,20291],{},"✅ 团队 Agent 工作流共享",[39,20293,20294],{},"✅ 企业有 Anthropic 承诺额度",[39,20296,20297],{},"✅ 能力 git 版本化 + PR review",[39,20299,20300],{},"❌ 纯非 Claude 栈 + 不学 SKILL.md",[39,20302,20303],{},"❌ C 端 monetize（GPT Store）",[39,20305,20306],{},"❌ 100% 闭源 + 完全自托管",[39,20308,20309],{},"❌ 不写 Markdown 的非技术用户",[21,20311,604],{"id":604},[36,20313,20314,20320,20326],{},[39,20315,20316],{},[610,20317,20319],{"href":20318},"\u002Ftools\u002Fagent\u002Fskills\u002Fcursor-rules-hub","Cursor Rules Hub 评测",[39,20321,20322],{},[610,20323,20325],{"href":20324},"\u002Ftools\u002Fagent\u002Fskills\u002Fgpt-store","GPT Store 评测",[39,20327,20328],{},[610,20329,613],{"href":612},[21,20331,628],{"id":628},[630,20333,20334,20341,20348,20355,20362,20369],{},[39,20335,20336,20337],{},"Claude Skills 官方文档 ",[610,20338,20339],{"href":20339,"rel":20340},"https:\u002F\u002Fdocs.anthropic.com\u002Fen\u002Fdocs\u002Fagents\u002Fskills",[639],[39,20342,20343,20344],{},"TNW — Anthropic launches marketplace 2026-03-07（零佣金、Snowflake\u002FHarvey\u002FReplit） ",[610,20345,20346],{"href":20346,"rel":20347},"https:\u002F\u002Fthenextweb.com\u002Fnews\u002Fanthropic-marketplace-claude-enterprise-software",[639],[39,20349,20350,20351],{},"DigitalCommerce360 — Anthropic launches Claude B2B marketplace 2026-03-16 ",[610,20352,20353],{"href":20353,"rel":20354},"https:\u002F\u002Fwww.digitalcommerce360.com\u002F2026\u002F03\u002F16\u002Fanthropic-launches-claude-b2b-marketplace-enterprise-ai-applications",[639],[39,20356,20357,20358],{},"SaaSSentinel — Marketplace launched 2026-03-06（首批 6 partners + $14B run-rate） ",[610,20359,20360],{"href":20360,"rel":20361},"https:\u002F\u002Fsaassentinel.com\u002F2026\u002F03\u002F07\u002Fanthropic-launches-claude-marketplace-to-streamline-enterprise-ai-procurement",[639],[39,20363,20364,20365],{},"SiliconANGLE — Claude Marketplace 第三方云服务 ",[610,20366,20367],{"href":20367,"rel":20368},"https:\u002F\u002Fsiliconangle.com\u002F2026\u002F03\u002F06\u002Fanthropic-launches-claude-marketplace-third-party-cloud-services",[639],[39,20370,20371,20372],{},"skills-hub.ai — Cursor rules vs Skills 对比 + SKILL.md 跨工具 + 4400+ 库 ",[610,20373,20374],{"href":20374,"rel":20375},"https:\u002F\u002Fskills-hub.ai\u002Fcursor-rules",[639],[662,20377,20378],{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":20380},[20381,20382,20383,20384,20385,20386,20387,20388,20389,20390],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":19882,"depth":224,"text":19883},{"id":19946,"depth":224,"text":19947},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"skills","\u002Fimg\u002Ftools\u002Fclaude-skills.webp","Claude Skills 真实评测：Anthropic Agent 能力系统——一个 SKILL.md 文件定义一组能力，Claude 看到任务自动按需加载，不污染 context。2026-03-06 Anthropic 进一步推出 Claude Marketplace（B2B 企业版『App Store』），首批伙伴含 Snowflake \u002F GitLab \u002F Harvey AI \u002F Replit \u002F Rogo \u002F Lovable，企业可用已有 Anthropic 承诺额度直接采购，零佣金。Skills 协议开放（SKILL.md 标准也跑在 Cursor \u002F Codex \u002F Windsurf \u002F Copilot 等 MCP 兼容工具上）。",[20395,20398,20401,20404],{"q":20396,"a":20397},"Claude Skills 解决什么问题？","传统 Agent 能力 = Python function + tool registration（LangChain \u002F AutoGPT），门槛高、不可移植、改一处要重启代码。Claude Skills 把『能力』降维到 Markdown：一个目录 = 一个 Skill，`SKILL.md` 描述触发条件 + 步骤 + 模板 + 脚本，Claude 看到匹配任务自动加载，不污染 context（按需注入而非一次性塞满）。意义：(1) 非程序员也能写能力；(2) 能力可 git diff \u002F code review；(3) 跨项目复用；(4) 社区可共享。已演化成开放 Agent Skills 标准，Cursor \u002F Codex CLI \u002F Windsurf \u002F Copilot \u002F MCP 兼容工具也能消费。",{"q":20399,"a":20400},"Claude Marketplace 是什么？跟 Skills 什么关系？","Claude Marketplace 是 Anthropic 2026-03-06 上线的 B2B 企业市场，首批伙伴 Snowflake \u002F GitLab \u002F Harvey AI \u002F Replit \u002F Rogo \u002F Lovable Labs。企业可用已有 Anthropic 年度承诺额度（六七位数）直接采购『Claude-powered 软件』，Anthropic **零佣金**（与 AWS \u002F Azure marketplace 30% 抽成形成对比）。它解决的不是消费者『装 GPT』，而是企业采购：把 Claude 订阅 + 第三方 AI 软件合并到一个采购流，省 procurement 周期。Skills 是底层能力协议，Marketplace 是上层企业分发渠道。两者构成 Anthropic 的 B2B 生态护城河。",{"q":20402,"a":20403},"Skills 和 MCP 是什么关系？","MCP 是『外部工具接入协议』（让模型调 API \u002F DB），Skills 是『能力描述协议』（教模型怎么做某类任务）。两者互补：MCP 提供原料（数据 \u002F 操作），Skills 提供菜谱（步骤 \u002F 模板 \u002F 经验）。一个 deploy-to-vercel Skill 可能依赖 filesystem MCP server（读 vercel.json）+ shell MCP server（跑 vercel CLI）。生产 Agent 一般同时用 Skills（顶层能力）+ MCP（底层工具）。",{"q":20405,"a":20406},"和 Cursor Rules \u002F GPT Store Custom GPT 怎么选？","Cursor Rules = 全局 prompt 注入（每次对话都带，污染 context），Skills = 按需加载（更高效），GPT Store = ChatGPT 内的 Custom GPT（图形界面 + Actions）。决策：(1) Cursor 用户 + 项目级规范 → .cursorrules；(2) 跨工具 + Markdown 写法 + 按需加载 → SKILL.md；(3) 非技术用户 + 想 monetize → GPT Store。SKILL.md 标准化路线最长远（跨 Cursor \u002F Codex \u002F Windsurf \u002F Copilot \u002F MCP）。",[697],{},"\u002Ftools\u002Fagent\u002Fskills\u002Fclaude-skills",[704,1349,1348,1350],[20412,20414,20416,20420,20422],{"plan":19850,"price":707,"features":20413,"notes":4432},"基础 Claude + 公共 Skills",{"plan":19856,"price":20185,"features":20415,"notes":19691},"全模型 + 个人 Skills 库 + Projects",{"plan":19862,"price":20417,"features":20418,"notes":20419},"$30\u002Fseat","团队共享 Skills + 协作 + 集中计费","5-200 人团队",{"plan":19868,"price":10045,"features":20421,"notes":16133},"SSO + audit + 私有 Skills + 高 context",{"plan":19743,"price":20423,"features":20424,"notes":20425},"承诺额度抵扣","企业从 Snowflake \u002F GitLab \u002F Harvey \u002F Replit 等买 Claude-powered 软件","Anthropic 零佣金","随 Claude 订阅 \u002F API 计费；Claude Marketplace 企业承诺额度抵扣",[20428],"onboarding\u002Fagent-skill-distribution",[19704],{"power":264,"ux":257,"price":257,"cn_support":250,"stability":257},{"title":19730,"description":20393},"Claude Skills 评测 2026：Anthropic Agent 能力系统 + Marketplace","agent\u002Fskills\u002Fclaude-skills",[20435,20437,20439,20441,20443,20445],{"name":20436,"url":20339,"accessed":732},"Claude Skills 官方文档",{"name":20438,"url":20346,"accessed":732},"TNW — Anthropic launches Marketplace 2026-03-07",{"name":20440,"url":20353,"accessed":732},"DigitalCommerce360 — Claude B2B marketplace",{"name":20442,"url":20360,"accessed":732},"SaaSSentinel — Anthropic Marketplace launched 2026-03-06",{"name":20444,"url":20367,"accessed":732},"SiliconANGLE — Claude Marketplace 第三方云服务",{"name":20446,"url":20374,"accessed":732},"skills-hub.ai — Cursor rules vs skills 对比 + SKILL.md 跨工具","tools\u002Fagent\u002Fskills\u002Fclaude-skills","Anthropic Agent 能力系统 + Claude Marketplace（2026-03 上线）：SKILL.md 即能力，企业级集中分发",[20391,20450,1395,1393,19725,1392],"agent-capability","Claude Skills 是 Agent 能力的『函数定义 + 按需加载』。SKILL.md 协议 + 2026-03 上线的 Claude Marketplace 让 Anthropic 在 Agent 能力分发上从 Claude only 走向跨工具开放标准。Claude 生态必试；非 Claude 用户也可借鉴 SKILL.md 写法。","f0K2JUKZo8dfJxoYMFzM6d79Hd4nA3Qi6GtC1YayRiE",{"id":20454,"title":20455,"alternatives":20456,"api_compatible":16,"body":20458,"category":20391,"chinese_friendly":250,"cover":21160,"description":21161,"domestic":680,"extension":681,"faq":21162,"free":680,"github":21117,"languages":21175,"lastVerified":16,"meta":21176,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":20318,"pillar":700,"platforms":21177,"priceTable":21178,"pricing":12512,"published":18961,"relatedPlaybooks":21188,"relatedReviews":16,"score":21190,"self_host":680,"seo":21191,"seoTitle":21192,"slug":19732,"sources":21193,"stem":21206,"suitable":16,"tagline":21207,"tags":21208,"updated":732,"verdict":21212,"website":21110,"__hash__":21213},"tools\u002Ftools\u002Fagent\u002Fskills\u002Fcursor-rules-hub.md","Cursor Rules Hub",[20433,19733,20457],"coding\u002Fide\u002Fcursor",{"type":18,"value":20459,"toc":21148},[20460,20462,20497,20500,20502,20581,20583,20597,20601,20605,20634,20638,20678,20682,20687,20693,20698,20770,20775,20832,20834,20970,20972,21051,21053,21082,21084,21101,21103,21146],[21,20461,24],{"id":23},[26,20463,20464,20465,20468,20469,20472,20473,20476,20477,20480,20481,20484,20485,20488,20489,20492,20493,20496],{},"Cursor Rules Hub 是聚合社区驱动的 .cursorrules \u002F .mdc 共享平台总称，三个最常用入口：(1) ",[42,20466,20467],{},"cursor.directory","（官方风格目录，浏览 + 复制）；(2) ",[42,20470,20471],{},"awesome-cursorrules","（PatrickJS 维护的 GitHub 大目录，PR 投稿）；(3) ",[42,20474,20475],{},"skills-hub.ai","（4400+ rules+skills + ",[204,20478,20479],{},"npx @skills-hub-ai\u002Fcli install"," 一键装 + ",[204,20482,20483],{},".skills.json"," lockfile + 安全扫描 + 兼容 SKILL.md 跨工具）。2026 重大变化：Cursor 官方推荐 ",[204,20486,20487],{},".cursor\u002Frules\u002F*.mdc","（多文件 + globs scope + 四种激活模式）取代 legacy ",[204,20490,20491],{},".cursorrules","；同时要警惕 Cursor 3.1.x ",[204,20494,20495],{},"alwaysApply: true"," 偶发不生效 bug。",[26,20498,20499],{},"适合：Cursor \u002F Windsurf 用户；想让 AI 遵守项目栈规范的；monorepo \u002F 多栈项目（需要 path-scoped rules）；想学别人怎么写 rules 的；团队复用规范的。不适合：纯非 Cursor 栈（用 SKILL.md \u002F Claude Skills）；500 字以内的极简项目（手写即可）；完全保密 + 闭源 + 自定 rules 引擎的（不需要市场）。",[21,20501,34],{"id":34},[36,20503,20504,20509,20514,20522,20528,20533,20539,20545,20554,20560,20565,20575],{},[39,20505,20506,20508],{},[42,20507,20467],{},"：官方风格浏览 + 复制 + 框架\u002F语言\u002F角色分类",[39,20510,20511,20513],{},[42,20512,20471],{},"：GitHub 大目录 + 24K+ star + PR 投稿",[39,20515,20516,5072,20519],{},[42,20517,20518],{},"skills-hub.ai CLI",[204,20520,20521],{},"npx @skills-hub-ai\u002Fcli install \u003Cslug> --target cursor",[39,20523,20524,20527],{},[42,20525,20526],{},"lockfile（.skills.json）","：团队复现同版本 rules",[39,20529,20530,20532],{},[42,20531,19416],{},"：自动检测 rules 中的危险指令",[39,20534,20535,20538],{},[42,20536,20537],{},"SKILL.md 跨工具","：同一 skill 跑 Cursor \u002F Codex CLI \u002F Windsurf \u002F Copilot \u002F MCP",[39,20540,20541,20544],{},[42,20542,20543],{},"格式自动适配","：CLI 按项目结构选 .cursorrules 或 .mdc",[39,20546,20547,5072,20550,20553],{},[42,20548,20549],{},"bundle",[204,20551,20552],{},"full-stack-dev-kit"," 等组合包一键装多 rule",[39,20555,20556,20559],{},[42,20557,20558],{},"4400+ rules + 90+ 来源","（Anthropic \u002F Microsoft \u002F Google \u002F Vercel \u002F Stripe \u002F Cloudflare \u002F Trail of Bits \u002F Prisma \u002F Supabase）",[39,20561,20562],{},[42,20563,20564],{},"质量分 + 安全分 + 上游 GitHub 链接",[39,20566,20567,20570,20571,20574],{},[42,20568,20569],{},"路径 scope","：.mdc 用 globs 字段限定 ",[204,20572,20573],{},"apps\u002Fweb\u002F**"," 等",[39,20576,20577,20580],{},[42,20578,20579],{},"四种激活模式","：Always \u002F Auto Attached \u002F Agent Requested \u002F Manual",[21,20582,108],{"id":108},[36,20584,20585,20594],{},[39,20586,20587,6035,20589,6035,20591,20593],{},[42,20588,20467],{},[42,20590,20471],{},[42,20592,20475],{}," 全部 $0",[39,20595,20596],{},"skills-hub.ai 后续可能推付费企业 feature（私有 registry \u002F SSO），当前免费",[21,20598,20600],{"id":20599},"实测nuxt-4-typescript-项目","实测（Nuxt 4 + TypeScript 项目）",[26,20602,20603],{},[42,20604,143],{},[36,20606,20607,20610,20613,20616,20622,20625,20628,20631],{},[39,20608,20609],{},"skills-hub.ai CLI 一行装 5 个 rule（nuxt4 \u002F typescript-strict \u002F unocss \u002F pnpm-workspace \u002F code-review）\u003C 2 分钟",[39,20611,20612],{},"lockfile 让团队复现同样 rules，新人开箱即用",[39,20614,20615],{},".mdc + globs 让 monorepo apps\u002Fweb 和 packages\u002Fapi 用不同规则",[39,20617,20618,20619,20621],{},"安全扫描发现一个 rule 里有 ",[204,20620,2487],{}," 指令，及时拦截",[39,20623,20624],{},"SKILL.md 格式让同一规范跨 Cursor + Codex CLI 复用",[39,20626,20627],{},"4400+ rules 长尾需求基本能找到（Elixir \u002F Phoenix \u002F OCaml 都有）",[39,20629,20630],{},"90+ 来源含 Anthropic \u002F Vercel \u002F Stripe 等权威组织 = 信任度高",[39,20632,20633],{},"PR 流程让自家规范也能贡献回社区",[26,20635,20636],{},[42,20637,168],{},[36,20639,20640,20646,20649,20652,20662,20665,20668,20671],{},[39,20641,20642,20643,20645],{},"Cursor 3.1.x ",[204,20644,20495],{}," 偶发降级，要 forum 跟踪 + 双重保险",[39,20647,20648],{},"部分社区 rule 已过时（react 旧 hook 写法）",[39,20650,20651],{},"长 rule 每次对话消耗 token，建议 \u003C 500 字 \u002F 拆 skill",[39,20653,20654,20655,20657,20658,20661],{},"legacy ",[204,20656,20491],{}," 与 ",[204,20659,20660],{},".mdc"," 并存时优先级不清",[39,20663,20664],{},"中文 rule 数量少，主要英文",[39,20666,20667],{},"skills-hub.ai 是新项目，长期维护待观察",[39,20669,20670],{},"bundle 安装会装一堆可能用不到的 rule，要 review",[39,20672,20673,20674,20677],{},"Windsurf 有 ",[204,20675,20676],{},".windsurfrules","，rule 格式略不同要兼容",[21,20679,20681],{"id":20680},"上手3-种方式","上手（3 种方式）",[26,20683,20684],{},[42,20685,20686],{},"方式 1：cursor.directory 复制粘贴",[197,20688,20691],{"className":20689,"code":20690,"language":6177},[6175],"1. 访问 cursor.directory 搜技术栈\n2. 复制 .cursorrules 内容\n3. 粘贴到项目根 `.cursorrules`\n4. 重启 Cursor\n",[204,20692,20690],{"__ignoreMap":202},[26,20694,20695],{},[42,20696,20697],{},"方式 2：skills-hub.ai CLI（推荐）",[197,20699,20701],{"className":199,"code":20700,"language":201,"meta":202,"style":202},"# 装一个 rule\nnpx @skills-hub-ai\u002Fcli install code-review --target cursor\n\n# 装一个 bundle\nnpx @skills-hub-ai\u002Fcli install full-stack-dev-kit --target cursor\n\n# 团队复现\nnpx @skills-hub-ai\u002Fcli install   # 读 .skills.json lockfile\n",[204,20702,20703,20708,20726,20730,20735,20750,20754,20759],{"__ignoreMap":202},[207,20704,20705],{"class":209,"line":210},[207,20706,20707],{"class":260},"# 装一个 rule\n",[207,20709,20710,20713,20716,20718,20721,20724],{"class":209,"line":224},[207,20711,20712],{"class":213},"npx",[207,20714,20715],{"class":217}," @skills-hub-ai\u002Fcli",[207,20717,241],{"class":217},[207,20719,20720],{"class":217}," code-review",[207,20722,20723],{"class":227}," --target",[207,20725,19282],{"class":217},[207,20727,20728],{"class":209,"line":250},[207,20729,254],{"emptyLinePlaceholder":253},[207,20731,20732],{"class":209,"line":257},[207,20733,20734],{"class":260},"# 装一个 bundle\n",[207,20736,20737,20739,20741,20743,20746,20748],{"class":209,"line":264},[207,20738,20712],{"class":213},[207,20740,20715],{"class":217},[207,20742,241],{"class":217},[207,20744,20745],{"class":217}," full-stack-dev-kit",[207,20747,20723],{"class":227},[207,20749,19282],{"class":217},[207,20751,20752],{"class":209,"line":276},[207,20753,254],{"emptyLinePlaceholder":253},[207,20755,20756],{"class":209,"line":281},[207,20757,20758],{"class":260},"# 团队复现\n",[207,20760,20761,20763,20765,20767],{"class":209,"line":287},[207,20762,20712],{"class":213},[207,20764,20715],{"class":217},[207,20766,241],{"class":217},[207,20768,20769],{"class":260},"   # 读 .skills.json lockfile\n",[26,20771,20772],{},[42,20773,20774],{},"方式 3：手写 .mdc + globs",[197,20776,20778],{"className":19961,"code":20777,"language":19963,"meta":202,"style":202},"---\ndescription: Nuxt 4 + UnoCSS 项目规范\nglobs:\n  - apps\u002Fweb\u002F**\n  - components\u002F**\nalwaysApply: true\n---\n\n使用 Composition API + setup script。\n禁止 axios，用 $fetch \u002F useFetch。\n组件命名 PascalCase，文件名 kebab-case。\n",[204,20779,20780,20784,20789,20794,20799,20804,20809,20813,20817,20822,20827],{"__ignoreMap":202},[207,20781,20782],{"class":209,"line":210},[207,20783,19970],{},[207,20785,20786],{"class":209,"line":224},[207,20787,20788],{},"description: Nuxt 4 + UnoCSS 项目规范\n",[207,20790,20791],{"class":209,"line":250},[207,20792,20793],{},"globs:\n",[207,20795,20796],{"class":209,"line":257},[207,20797,20798],{},"  - apps\u002Fweb\u002F**\n",[207,20800,20801],{"class":209,"line":264},[207,20802,20803],{},"  - components\u002F**\n",[207,20805,20806],{"class":209,"line":276},[207,20807,20808],{},"alwaysApply: true\n",[207,20810,20811],{"class":209,"line":281},[207,20812,19970],{},[207,20814,20815],{"class":209,"line":287},[207,20816,254],{"emptyLinePlaceholder":253},[207,20818,20819],{"class":209,"line":321},[207,20820,20821],{},"使用 Composition API + setup script。\n",[207,20823,20824],{"class":209,"line":326},[207,20825,20826],{},"禁止 axios，用 $fetch \u002F useFetch。\n",[207,20828,20829],{"class":209,"line":332},[207,20830,20831],{},"组件命名 PascalCase，文件名 kebab-case。\n",[21,20833,364],{"id":364},[366,20835,20836,20850],{},[369,20837,20838],{},[372,20839,20840,20842,20844,20846,20848],{},[375,20841,377],{},[375,20843,20467],{},[375,20845,20471],{},[375,20847,20475],{},[375,20849,19730],{},[390,20851,20852,20869,20885,20897,20909,20924,20940,20953],{},[372,20853,20854,20857,20860,20863,20866],{},[395,20855,20856],{},"收录",[395,20858,20859],{},"数百",[395,20861,20862],{},"数百 + GitHub PR",[395,20864,20865],{},"4400+ + 90 来源",[395,20867,20868],{},"Anthropic + 社区",[372,20870,20871,20874,20877,20879,20882],{},[395,20872,20873],{},"CLI 一键装",[395,20875,20876],{},"❌ 复制粘贴",[395,20878,20876],{},[395,20880,20881],{},"✅ + lockfile",[395,20883,20884],{},"claude code 内置",[372,20886,20887,20889,20891,20893,20895],{},[395,20888,19416],{},[395,20890,426],{},[395,20892,426],{},[395,20894,1100],{},[395,20896,440],{},[372,20898,20899,20901,20903,20905,20907],{},[395,20900,20107],{},[395,20902,20113],{},[395,20904,20113],{},[395,20906,20110],{},[395,20908,1100],{},[372,20910,20911,20914,20917,20919,20922],{},[395,20912,20913],{},"团队复现",[395,20915,20916],{},"手动",[395,20918,20916],{},[395,20920,20921],{},"✅ lockfile",[395,20923,214],{},[372,20925,20926,20929,20931,20934,20937],{},[395,20927,20928],{},"质量分",[395,20930,426],{},[395,20932,20933],{},"star 数",[395,20935,20936],{},"✅ + 上游链接",[395,20938,20939],{},"reviews",[372,20941,20942,20944,20946,20948,20950],{},[395,20943,108],{},[395,20945,843],{},[395,20947,843],{},[395,20949,843],{},[395,20951,20952],{},"Claude 订阅",[372,20954,20955,20958,20961,20964,20967],{},[395,20956,20957],{},"推荐场景",[395,20959,20960],{},"quick start",[395,20962,20963],{},"学写法",[395,20965,20966],{},"团队 \u002F 生产",[395,20968,20969],{},"跨工具能力",[21,20971,521],{"id":521},[36,20973,20974,20980,20990,20996,21002,21014,21022,21028,21039,21045],{},[39,20975,20976,20979],{},[42,20977,20978],{},"新项目用 .mdc","：legacy .cursorrules 仅向后兼容",[39,20981,20982,20987,20988],{},[42,20983,20984,20986],{},[204,20985,20495],{}," 双重保险","：Cursor 3.1.x bug 期间也复制到 ",[204,20989,20491],{},[39,20991,20992,20995],{},[42,20993,20994],{},"rule 长度控制","：单 rule \u003C 500 字，超出拆 skill",[39,20997,20998,21001],{},[42,20999,21000],{},"scope 用 globs","：monorepo 必须 path scope，避免规则相互污染",[39,21003,21004,21006,21007,6035,21010,21013],{},[42,21005,19416],{},"：装 rule 前 review，警惕 ",[204,21008,21009],{},"rm",[204,21011,21012],{},"curl | sh"," 等危险指令",[39,21015,21016,5072,21019,21021],{},[42,21017,21018],{},"lockfile 进版本控制",[204,21020,20483],{}," 提交 git，团队复现",[39,21023,21024,21027],{},[42,21025,21026],{},"过时 rule","：定期 review，框架版本升级要同步",[39,21029,21030,21033,21034,10831,21036,21038],{},[42,21031,21032],{},"Windsurf 兼容","：双格式（",[204,21035,20491],{},[204,21037,20676],{},"）or 用 skills-hub 自动适配",[39,21040,21041,21044],{},[42,21042,21043],{},"中文 rule 短缺","：自己写常用栈 + 提交 PR 回社区",[39,21046,21047,21050],{},[42,21048,21049],{},"bundle 慎用","：bundle 装多 rule，review 后裁剪",[21,21052,575],{"id":574},[36,21054,21055,21058,21061,21064,21067,21070,21073,21076,21079],{},[39,21056,21057],{},"✅ Cursor \u002F Windsurf 用户",[39,21059,21060],{},"✅ 想让 AI 遵守项目规范",[39,21062,21063],{},"✅ monorepo \u002F 多栈项目",[39,21065,21066],{},"✅ 团队复现 + 安全扫描",[39,21068,21069],{},"✅ 想学别人写 rules",[39,21071,21072],{},"❌ 纯非 Cursor 栈（用 SKILL.md）",[39,21074,21075],{},"❌ 极简单文件项目（手写即可）",[39,21077,21078],{},"❌ 完全保密 + 自定 rules 引擎",[39,21080,21081],{},"❌ 不愿引入 npm CLI 的零 Node 项目",[21,21083,604],{"id":604},[36,21085,21086,21091,21095],{},[39,21087,21088],{},[610,21089,21090],{"href":20409},"Claude Skills 评测",[39,21092,21093],{},[610,21094,20325],{"href":20324},[39,21096,21097],{},[610,21098,21100],{"href":21099},"\u002Ftools\u002Fcoding\u002Fide\u002Fcursor","Cursor 评测",[21,21102,628],{"id":628},[630,21104,21105,21112,21119,21126,21132,21139],{},[39,21106,21107,21108],{},"cursor.directory 官方风格目录 ",[610,21109,21110],{"href":21110,"rel":21111},"https:\u002F\u002Fcursor.directory\u002F",[639],[39,21113,21114,21115],{},"awesome-cursorrules GitHub ",[610,21116,21117],{"href":21117,"rel":21118},"https:\u002F\u002Fgithub.com\u002FPatrickJS\u002Fawesome-cursorrules",[639],[39,21120,21121,21122],{},"Cursor 官方文档 — Rules（.mdc 格式 + 四种激活模式） ",[610,21123,21124],{"href":21124,"rel":21125},"https:\u002F\u002Fdocs.cursor.com\u002Fen\u002Fcontext\u002Frules",[639],[39,21127,21128,21129],{},"skills-hub.ai — 4400+ rules + CLI + lockfile + SKILL.md 跨工具 ",[610,21130,20374],{"href":20374,"rel":21131},[639],[39,21133,21134,21135],{},"Cursor Forum — Cursor 3.1.x alwaysApply: true 不生效 bug 2026-04 ",[610,21136,21137],{"href":21137,"rel":21138},"https:\u002F\u002Fforum.cursor.com\u002Ft\u002Fcursor-rules-not-getting-applied\u002F158740",[639],[39,21140,21141,21142],{},"DCMvn — Configuring Rules & Docs（含 Rule 类型详解表） ",[610,21143,21144],{"href":21144,"rel":21145},"https:\u002F\u002Fdiggtvu.github.io\u002FpyDCMvnDocs\u002Fdocs\u002Ffeatures\u002Fconfiguring-rules-docs",[639],[662,21147,14258],{},{"title":202,"searchDepth":250,"depth":250,"links":21149},[21150,21151,21152,21153,21154,21155,21156,21157,21158,21159],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":20599,"depth":224,"text":20600},{"id":20680,"depth":224,"text":20681},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcursor-rules-hub.webp","Cursor Rules Hub 真实评测：聚合社区驱动的 .cursorrules \u002F .mdc 共享平台（cursor.directory + awesome-cursorrules + skills-hub.ai），4400+ rules 覆盖 Vue\u002FReact\u002FNuxt\u002FNext\u002FSvelte\u002FPython\u002FGo\u002FRust 等主流栈。2026 重大变化：(1) Cursor 官方推荐 `.cursor\u002Frules\u002F*.mdc`（多文件 + globs scope）取代 legacy `.cursorrules`；(2) skills-hub.ai 提供 `npx @skills-hub-ai\u002Fcli install` 一键安装 + lockfile 锁版本 + 安全扫描 + 兼容 SKILL.md 跨工具；(3) Cursor 3.x 偶发 alwaysApply: true 不生效 bug 需注意。",[21163,21166,21169,21172],{"q":21164,"a":21165},"Cursor Rules Hub 是什么？为什么存在？","Cursor 的 Agent 默认不知道你的项目用什么栈 \u002F 规范。`.cursorrules`（或新格式 `.cursor\u002Frules\u002F*.mdc`）就是项目级 system prompt——告诉 Cursor『这是一个 Nuxt 4 项目，用 Composition API + UnoCSS + pnpm workspaces，禁止用 axios……』。但写好 rules 需要经验，所以社区把优秀模板聚合：cursor.directory（首推官方风格目录）、awesome-cursorrules（PatrickJS 维护的 GitHub 大目录）、skills-hub.ai（4400+ rules+skills + CLI + lockfile + 安全扫描）。一行 CLI 或复制粘贴就能让 Cursor 懂你的栈。",{"q":21167,"a":21168},".cursorrules vs .cursor\u002Frules\u002F*.mdc 怎么选？","Cursor 官方文档明确：legacy `.cursorrules`（项目根单文件，全局加载）仍支持但新项目应该用 `.cursor\u002Frules\u002F*.mdc`。`.mdc` 多文件 + YAML frontmatter + `globs` 字段可以 scope 到特定路径（如 `apps\u002Fweb\u002F**` 用一套规则，`packages\u002Fapi\u002F**` 用另一套），还支持 Always \u002F Auto Attached \u002F Agent Requested \u002F Manual 四种激活模式。monorepo \u002F 多栈项目必上 .mdc；纯单一项目可以继续用 .cursorrules。skills-hub.ai CLI 会自动选合适格式写入。",{"q":21170,"a":21171},"Cursor 3.x 的 alwaysApply: true 不生效是 bug 吗？","是。2026-04 Cursor 社区 forum 多个用户报告：升到 Cursor 3.1.x 后 .mdc 的 `alwaysApply: true` rules 被静默降级为 'requestable'（只在 model 觉得需要时加载），导致项目规范没被遵守。Cursor 官方已确认是 regression。临时解法：(a) 在每次对话开头明确 @rule 名引用；(b) 把核心规范也复制到 `.cursorrules`（双重保险）；(c) 关注 forum.cursor.com 跟踪修复版本；(d) 升 Cursor 时先在小项目验证。",{"q":21173,"a":21174},"Cursor Rules vs Claude Skills 怎么选？","Cursor Rules（.cursorrules \u002F .mdc）= **全局或路径级 prompt 注入**（每次对话都带，污染 context 但保证遵守），Claude Skills（SKILL.md）= **按需加载**（Claude 判断要不要加载，省 context 但有黑盒性）。决策：(1) Cursor 专属用户 + 项目级规范不变 → .mdc；(2) 跨工具（Cursor + Codex + Claude Code）+ 按需加载 → SKILL.md；(3) skills-hub.ai 同时支持两种格式 + 提供 SKILL.md → .cursorrules 转换，跨工具迁移最省事。大部分团队两者都用：rules 装项目约束，skills 装重复 workflow。",[697,696],{},[704,1349,1348,1350],[21179,21182,21185],{"plan":20467,"price":707,"features":21180,"notes":21181},"浏览 + 复制 .cursorrules 模板","经典入口",{"plan":20471,"price":707,"features":21183,"notes":21184},"GitHub 大目录 + PR 投稿","社区起源",{"plan":20475,"price":707,"features":21186,"notes":21187},"4400+ rules+skills + CLI 一键装 + lockfile + 安全扫描 + SKILL.md 跨工具","2026 推荐",[21189],"onboarding\u002Fcursor-rules-mdc-selection",{"power":250,"ux":257,"price":264,"cn_support":250,"stability":250},{"title":20455,"description":21161},"Cursor Rules Hub - Cursor 规则市场评测 | AIHO",[21194,21196,21198,21200,21202,21204],{"name":21195,"url":21110,"accessed":732},"cursor.directory（官方风格目录）",{"name":21197,"url":21117,"accessed":732},"awesome-cursorrules GitHub",{"name":21199,"url":21124,"accessed":732},"Cursor 官方文档 — Rules",{"name":21201,"url":20374,"accessed":732},"skills-hub.ai — 4400+ rules + CLI + lockfile",{"name":21203,"url":21137,"accessed":732},"Cursor Forum — alwaysApply bug 2026-04",{"name":21205,"url":21144,"accessed":732},"DCMvn — Configuring Rules & Docs（含 Rule 类型表）","tools\u002Fagent\u002Fskills\u002Fcursor-rules-hub","Cursor 社区 Rules 市场——cursor.directory + awesome-cursorrules + skills-hub.ai 4400+ 模板，一行 CLI 装到 .cursor\u002Frules\u002F",[21209,20391,21210,19725,21211],"cursor-rules","community","mdc","Cursor 用户的『rules \u002F skills 配置市场』。2026 用 `.cursor\u002Frules\u002F*.mdc` + skills-hub.ai CLI + lockfile 是新最佳实践；legacy `.cursorrules` 仍支持但不推荐新项目用。社区驱动、质量参差但免费，生产用要审。","Gvd-JMu6aDMtb4sQi76OKIQALJM7at3hIyxwNZ0OVBM",{"id":21215,"title":21216,"alternatives":21217,"api_compatible":16,"body":21218,"category":20391,"chinese_friendly":257,"cover":21770,"description":21771,"domestic":680,"extension":681,"faq":21772,"free":680,"github":16,"languages":21785,"lastVerified":16,"meta":21786,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":20324,"pillar":700,"platforms":21787,"priceTable":21788,"pricing":21798,"published":18961,"relatedPlaybooks":21799,"relatedReviews":16,"score":21801,"self_host":680,"seo":21802,"seoTitle":21803,"slug":19733,"sources":21804,"stem":21815,"suitable":16,"tagline":21816,"tags":21817,"updated":732,"verdict":21821,"website":21728,"__hash__":21822},"tools\u002Ftools\u002Fagent\u002Fskills\u002Fgpt-store.md","OpenAI GPT Store",[20433,19732,7320,5776],{"type":18,"value":21219,"toc":21758},[21220,21222,21253,21256,21258,21333,21335,21360,21365,21369,21373,21399,21403,21435,21439,21445,21447,21605,21607,21666,21668,21697,21699,21719,21721],[21,21221,24],{"id":23},[26,21223,21224,21225,21228,21229,21232,21233,21236,21237,21240,21241,21244,21245,21248,21249,21252],{},"OpenAI GPT Store 是 ChatGPT 内置的 Custom GPT 市场（2024-01 上线），2026 年已有 ",[42,21226,21227],{},"300 万+ Custom GPT","。GPT Builder 让非技术用户用自然语言搭建：",[42,21230,21231],{},"Instructions","（人格 + 行为）\u002F ",[42,21234,21235],{},"Knowledge","（最多 20 文件 PDF \u002F Excel \u002F Code）\u002F ",[42,21238,21239],{},"Actions","（OpenAPI + OAuth 调外部 API）\u002F ",[42,21242,21243],{},"内置工具","（DALL-E 3 \u002F Code Interpreter \u002F Web Browsing）。Revenue Sharing 按 engagement 分成但门槛极高——平均 ~$0.03\u002F会话，月入 $1K 需 33K+ 高质量会话。真正赚钱路径：",[42,21246,21247],{},"B2B 内部 GPT 咨询","（$5K-20K\u002F项目 + $1K-5K\u002F月）或 ",[42,21250,21251],{},"GPT 当 top-of-funnel"," 引流自家 SaaS。",[26,21254,21255],{},"适合：ChatGPT Plus \u002F Team \u002F Enterprise 用户；非技术用户搭一个定制助手；C 端流量入口；快速验证 Agent 创意；B2B 顾问做企业内部 GPT。不适合：靠 GPT Store 直接全职 monetize（90%+ 月 $100-500）；要私有部署 \u002F 全模型 \u002F 复杂工作流（Coze \u002F Dify）；国内无 ChatGPT 订阅；要 100% 控制 + 闭源。",[21,21257,34],{"id":34},[36,21259,21260,21265,21271,21276,21281,21286,21291,21297,21303,21309,21315,21321,21327],{},[39,21261,21262,21264],{},[42,21263,21227],{},"（业内最大 C 端 Agent 市场）",[39,21266,21267,21270],{},[42,21268,21269],{},"GPT Builder","：自然语言搭建 + 实时预览 + 双模式（对话 \u002F 高级编辑器）",[39,21272,21273,21275],{},[42,21274,21231],{},"：人格 + 行为 + 边界（plain English）",[39,21277,21278,21280],{},[42,21279,21235],{},"：最多 20 文件（PDF \u002F Excel \u002F Code \u002F 文档）",[39,21282,21283,21285],{},[42,21284,21239],{},"：OpenAPI 3.x + API Key \u002F OAuth 2.0",[39,21287,21288,21290],{},[42,21289,21243],{},"：DALL-E 3 \u002F Code Interpreter \u002F Web Browsing",[39,21292,21293,21296],{},[42,21294,21295],{},"GPT-5.2 模型","（最新）",[39,21298,21299,21302],{},[42,21300,21301],{},"Discovery","：自然语言搜索 + 周榜 trending + 类别 + Staff Picks",[39,21304,21305,21308],{},[42,21306,21307],{},"直接链接分享","：可外部分享 GPT URL",[39,21310,21311,21314],{},[42,21312,21313],{},"Revenue Sharing","：engagement-based + 美国地区 + verified creator",[39,21316,21317,21320],{},[42,21318,21319],{},"多语言","：界面 + 中文 GPT 数量丰富",[39,21322,21323,21326],{},[42,21324,21325],{},"GPT 互联","（2026 新）：Agentic Workflows 允许 GPT 调 GPT",[39,21328,21329,21332],{},[42,21330,21331],{},"企业 SSO + 数据不训练","（Enterprise）",[21,21334,108],{"id":108},[36,21336,21337,21343,21348,21354],{},[39,21338,21339,21342],{},[42,21340,21341],{},"ChatGPT Free","：$0（GPT Store 限制访问）",[39,21344,21345,21347],{},[42,21346,4692],{},"：$20\u002Fmo（全 GPT Store + Builder + GPT-5.2）",[39,21349,21350,21353],{},[42,21351,21352],{},"ChatGPT Team","：$30\u002Fseat\u002Fmo（团队共享 GPT）",[39,21355,21356,21359],{},[42,21357,21358],{},"ChatGPT Enterprise","：联系销售（SSO + audit + 私有 GPT）",[130,21361,21362],{},[26,21363,21364],{},"用户视角：Plus $20\u002Fmo 解锁全部 GPT；创作者视角：免费创建 + 发布，分成需 verified creator + 高 engagement。",[21,21366,21368],{"id":21367},"实测搭-发布-跑流量","实测（搭 + 发布 + 跑流量）",[26,21370,21371],{},[42,21372,143],{},[36,21374,21375,21378,21381,21384,21387,21390,21393,21396],{},[39,21376,21377],{},"GPT Builder 5 分钟从『描述需求』到『可用 GPT』",[39,21379,21380],{},"Knowledge 上传 PDF 后立刻可问（不需 RAG 工程）",[39,21382,21383],{},"Actions OAuth 让 GPT 代用户操作 Notion \u002F Linear 等",[39,21385,21386],{},"ChatGPT 内置分发 = 0 获客成本",[39,21388,21389],{},"中文 GPT 数量已经很多，本地化没问题",[39,21391,21392],{},"适合 B2B 顾问：客户已有 ChatGPT Team \u002F Enterprise，内部 GPT 落地快",[39,21394,21395],{},"Agentic Workflows（GPT 调 GPT）打开新场景",[39,21397,21398],{},"DALL-E 3 + Code Interpreter 开箱可用",[26,21400,21401],{},[42,21402,168],{},[36,21404,21405,21408,21411,21414,21417,21420,21423,21426,21429,21432],{},[39,21406,21407],{},"Revenue Sharing 不透明：~$0.03\u002F会话，月 $1K 需 33K+ 会话",[39,21409,21410],{},"90%+ 创作者月入 $100-500，全职靠 GPT Store 难",[39,21412,21413],{},"顶部 0.01% 占大部分分成，长尾几乎没钱",[39,21415,21416],{},"仅美国 verified creator 能进主分成池",[39,21418,21419],{},"横向工具 GPT（PDF 总结）竞争惨烈",[39,21421,21422],{},"Plus 用户 Actions 配额 \u002F 限速紧",[39,21424,21425],{},"国内无 ChatGPT 订阅 = 用户 \u002F 创作者双重壁垒",[39,21427,21428],{},"Knowledge 20 文件上限 + 总大小限制",[39,21430,21431],{},"复杂工作流（多步骤 \u002F 条件分支）不如 Coze \u002F Dify",[39,21433,21434],{},"数据落 OpenAI 服务器（Plus）合规敏感",[21,21436,21438],{"id":21437},"上手搭一个法律合同-gpt","上手（搭一个法律合同 GPT）",[197,21440,21443],{"className":21441,"code":21442,"language":6177},[6175],"1. chat.openai.com → Explore GPTs → Create\n2. 描述：『英国合同审查 GPT，找风险条款，引用 UK 法律』\n3. Builder 自动生成 name \u002F icon \u002F starter prompts\n4. 高级编辑器：\n   - Instructions: 你是英国合同审查专家……\n   - Knowledge: 上传 UK 合同法 PDF + 公司模板（最多 20 文件）\n   - Actions: 添加自家 contracts API（OpenAPI schema + OAuth）\n5. 实时预览测试，调整 instructions\n6. Publish → 选公开 \u002F 仅链接 \u002F 私有\n7. 分享 GPT URL，开始累积 engagement\n",[204,21444,21442],{"__ignoreMap":202},[21,21446,364],{"id":364},[366,21448,21449,21463],{},[369,21450,21451],{},[372,21452,21453,21455,21457,21459,21461],{},[375,21454,377],{},[375,21456,20175],{},[375,21458,10920],{},[375,21460,10153],{},[375,21462,19743],{},[390,21464,21465,21482,21497,21514,21530,21544,21557,21574,21590],{},[372,21466,21467,21470,21473,21476,21479],{},[395,21468,21469],{},"数量",[395,21471,21472],{},"300 万+",[395,21474,21475],{},"数十万",[395,21477,21478],{},"数万 + 自托管",[395,21480,21481],{},"6 partners（preview）",[372,21483,21484,21486,21489,21492,21495],{},[395,21485,1111],{},[395,21487,21488],{},"GPT-5.2 only",[395,21490,21491],{},"豆包 \u002F DeepSeek \u002F Qwen",[395,21493,21494],{},"全开放",[395,21496,1826],{},[372,21498,21499,21502,21505,21508,21511],{},[395,21500,21501],{},"发布渠道",[395,21503,21504],{},"ChatGPT 内",[395,21506,21507],{},"飞书 \u002F 微信 \u002F 抖音",[395,21509,21510],{},"API \u002F Web \u002F 自部署",[395,21512,21513],{},"企业承诺额度",[372,21515,21516,21518,21521,21524,21527],{},[395,21517,936],{},[395,21519,21520],{},"极低（自然语言）",[395,21522,21523],{},"极低（拖拽）",[395,21525,21526],{},"中（开发者）",[395,21528,21529],{},"高（企业采购）",[372,21531,21532,21534,21537,21539,21541],{},[395,21533,21239],{},[395,21535,21536],{},"✅ OpenAPI + OAuth",[395,21538,1100],{},[395,21540,1100],{},[395,21542,21543],{},"企业集成",[372,21545,21546,21548,21551,21553,21555],{},[395,21547,11346],{},[395,21549,21550],{},"❌（Enterprise 私有 GPT）",[395,21552,426],{},[395,21554,1100],{},[395,21556,12633],{},[372,21558,21559,21562,21565,21568,21571],{},[395,21560,21561],{},"Revenue",[395,21563,21564],{},"engagement 分成 + 不透明",[395,21566,21567],{},"流量分成",[395,21569,21570],{},"自建商业",[395,21572,21573],{},"零佣金 + 承诺额度",[372,21575,21576,21578,21581,21584,21587],{},[395,21577,506],{},[395,21579,21580],{},"C 端 + Plus 用户",[395,21582,21583],{},"国内 C\u002FB",[395,21585,21586],{},"开发者 \u002F 企业",[395,21588,21589],{},"大企业采购",[372,21591,21592,21594,21597,21599,21602],{},[395,21593,1152],{},[395,21595,21596],{},"$20\u002Fmo Plus",[395,21598,843],{},[395,21600,21601],{},"OSS \u002F Cloud",[395,21603,21604],{},"企业合同",[21,21606,521],{"id":521},[36,21608,21609,21615,21621,21626,21632,21638,21644,21649,21654,21660],{},[39,21610,21611,21614],{},[42,21612,21613],{},"不要靠分成全职","：B2B 咨询 + SaaS 引流才是钱",[39,21616,21617,21620],{},[42,21618,21619],{},"垂直 niche","：legal-tech \u002F financial \u002F medical 等专业领域 > 通用工具",[39,21622,21623,21625],{},[42,21624,21251],{},"：免费 GPT 引流到自家 SaaS（Stripe 计费）",[39,21627,21628,21631],{},[42,21629,21630],{},"Actions 鉴权","：OAuth 优先，API Key 仅低敏感",[39,21633,21634,21637],{},[42,21635,21636],{},"Knowledge 20 文件","：精选 RAG quality 高的，不要堆数量",[39,21639,21640,21643],{},[42,21641,21642],{},"Instructions 边界","：明确『不能做什么』，避免 jailbreak",[39,21645,21646,21648],{},[42,21647,9720],{},"：Plus 订阅需正规海外支付 + 稳定网络",[39,21650,21651,21653],{},[42,21652,12817],{},"：敏感数据用 Enterprise（数据不训练），不要用 Plus",[39,21655,21656,21659],{},[42,21657,21658],{},"starter prompts 优化","：好的 starter prompts 提高 engagement",[39,21661,21662,21665],{},[42,21663,21664],{},"持续运营","：GPT 也要『版本更新 + 用户反馈』，不是发布即结束",[21,21667,575],{"id":574},[36,21669,21670,21673,21676,21679,21682,21685,21688,21691,21694],{},[39,21671,21672],{},"✅ ChatGPT Plus \u002F Team \u002F Enterprise 用户",[39,21674,21675],{},"✅ 非技术用户搭定制助手",[39,21677,21678],{},"✅ C 端流量入口 + SaaS 引流",[39,21680,21681],{},"✅ B2B 顾问做企业内部 GPT",[39,21683,21684],{},"✅ 快速验证 Agent 创意",[39,21686,21687],{},"❌ 靠 GPT Store 直接全职 monetize",[39,21689,21690],{},"❌ 要私有部署 + 全模型（Coze \u002F Dify）",[39,21692,21693],{},"❌ 国内无 ChatGPT 订阅",[39,21695,21696],{},"❌ 复杂多步骤工作流",[21,21698,604],{"id":604},[36,21700,21701,21705,21709,21714],{},[39,21702,21703],{},[610,21704,21090],{"href":20409},[39,21706,21707],{},[610,21708,20319],{"href":20318},[39,21710,21711],{},[610,21712,21713],{"href":11725},"Coze 评测",[39,21715,21716],{},[610,21717,21718],{"href":13238},"Dify 评测",[21,21720,628],{"id":628},[630,21722,21723,21730,21737,21744,21751],{},[39,21724,21725,21726],{},"ChatGPT GPT Store ",[610,21727,21728],{"href":21728,"rel":21729},"https:\u002F\u002Fchat.openai.com\u002Fgpts",[639],[39,21731,21732,21733],{},"Digital Applied — GPT Store Business Guide 2026（~$0.03\u002F会话 + B2B reality check） ",[610,21734,21735],{"href":21735,"rel":21736},"https:\u002F\u002Fwww.digitalapplied.com\u002Fblog\u002Fgpt-store-custom-gpts-business-guide-2026",[639],[39,21738,21739,21740],{},"Singularity Moments — OpenAI Custom GPTs Guide 2026（3M+ GPT + GPT Builder 详解） ",[610,21741,21742],{"href":21742,"rel":21743},"https:\u002F\u002Fsingularitymoments.com\u002Fopenai-custom-gpts-guide-2026\u002F",[639],[39,21745,21746,21747],{},"GPT Store Revenue Case Studies 2026（engagement 分成 + 垂直 niche） ",[610,21748,21749],{"href":21749,"rel":21750},"https:\u002F\u002Fgptstorerevenueprogram.com\u002Fgpt-store-revenue-case-studies-what-we-know-so-far",[639],[39,21752,21753,21754],{},"VentureBeat — OpenAI launches GPT Store 2024-01 ",[610,21755,21756],{"href":21756,"rel":21757},"https:\u002F\u002Fventurebeat.com\u002Fai\u002Fopenai-launches-gpt-store-but-revenue-sharing-is-still-to-come",[639],{"title":202,"searchDepth":250,"depth":250,"links":21759},[21760,21761,21762,21763,21764,21765,21766,21767,21768,21769],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":21367,"depth":224,"text":21368},{"id":21437,"depth":224,"text":21438},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fgpt-store.webp","OpenAI GPT Store 真实评测：ChatGPT 内置 Custom GPT 市场（2024-01 上线），2026 年已有 300 万+ Custom GPT。GPT Builder 让非技术用户用自然语言搭建：Instructions \u002F Knowledge（20 文件）\u002F Actions（OpenAPI \u002F OAuth）\u002F 内置工具（DALL-E \u002F Code Interpreter \u002F Web Browsing）。Revenue Sharing 按 engagement 分成（非 install 数）但门槛高——大部分创作者月入 $100-500，赚钱核心是『B2B 内部 GPT + 顶部 0.01% engagement』，不是『C 端爆款』。",[21773,21776,21779,21782],{"q":21774,"a":21775},"GPT Store 能赚多少钱？分成机制是怎样的？","OpenAI 用 engagement-based 分成（非 install 数 \u002F 非固定价格），具体公式不公开。多个 2026 评测交叉确认：平均每会话约 $0.03，月入 $1000 需 33K+ 高质量会话。Digital Applied 等给出 reality check：90%+ 创作者月入 $100-500，仅顶部 0.01% engagement 能撑全职。真正赚钱的两条路：(1) **B2B 内部 GPT 咨询**——给企业用 SharePoint \u002F Confluence \u002F 私有 KB 搭内部 GPT，每个项目 $5K-20K 上手 + $1K-5K\u002F月维护；(2) **GPT 当 top-of-funnel**——免费 GPT 引流到自家 SaaS（Stripe 计费）。靠 OpenAI 直接分成全职生活很难。",{"q":21777,"a":21778},"Custom GPT vs Coze vs Dify 怎么选？","GPT Store = OpenAI 模型 only + 极低门槛 + ChatGPT 内分发；Coze = 国内对标（豆包 \u002F DeepSeek \u002F Qwen 多模型 + 飞书 \u002F 微信 \u002F 抖音多渠道）；Dify = 开源 + 全模型 + 私有部署 + API。决策：(1) C 端 + 海外 + ChatGPT 用户 → GPT Store；(2) 国内 C 端 + 多渠道 → Coze；(3) 企业 + 私有部署 + 全模型 → Dify。生产工作流 + 复杂 Agent → 优先 Coze \u002F Dify，GPT Store 当流量入口。",{"q":21780,"a":21781},"Custom GPT 能调外部 API（Actions）吗？怎么做 OAuth？","能。GPT Builder 的 Actions 支持自定义 OpenAPI 3.x schema，可调任意 REST API。认证方式：(a) API Key（HTTP header \u002F query）；(b) OAuth 2.0 Authorization Code Flow（用户在 ChatGPT 内 一键授权）。2026 Actions 已支持 long-running operations + 多步骤。但配额和限速受 ChatGPT 计划限制（Plus 比 Team \u002F Enterprise 紧）。生产场景建议 Actions + 自家后端做请求合并 \u002F 缓存。",{"q":21783,"a":21784},"Anthropic 也推了 Claude Marketplace（2026-03），GPT Store 还有优势吗？","两者定位不同。GPT Store 主打 **C 端开发者 + 长尾 GPT**（300 万+ Custom GPT、Plus 用户免费访问），生态最大；Claude Marketplace 主打 **B2B 企业采购**（用 Anthropic 承诺额度买第三方 Claude 软件，首批 6 个企业级 partner，Anthropic 零佣金）。GPT Store 优势：量大、ChatGPT 内分发、GPT Builder 极易上手、Plus 用户基数大；劣势：Revenue Sharing 不透明、$0.03\u002F会话天花板低、深度定制受限。两者并存：C 端 long-tail 用 GPT Store，B2B 大客户走 Claude Marketplace。",[696,697],{},[704,4426,702],[21789,21791,21793,21796],{"plan":21341,"price":707,"features":21790,"notes":4432},"基础 ChatGPT 但 GPT Store 限制访问",{"plan":4692,"price":20185,"features":21792,"notes":19691},"全 GPT Store 访问 + GPT Builder + GPT-5.2 + DALL-E + 代码解释器",{"plan":21352,"price":20417,"features":21794,"notes":21795},"团队共享 GPT + 集中计费 + 高 context","5+ 人团队",{"plan":21358,"price":10045,"features":21797,"notes":16133},"SSO + audit + 私有 GPT + 数据不训练 + 高速 GPT-5.2 + Actions OAuth","ChatGPT Plus $20\u002Fmo \u002F Team $30\u002Fseat\u002Fmo \u002F Enterprise 联系销售",[21800],"onboarding\u002Fcustom-gpt-monetization",{"power":257,"ux":264,"price":250,"cn_support":257,"stability":257},{"title":21216,"description":21771},"GPT Store - OpenAI 官方 GPT 市场评测 | AIHO",[21805,21807,21809,21811,21813],{"name":21806,"url":21728,"accessed":732},"ChatGPT GPT Store",{"name":21808,"url":21735,"accessed":732},"Digital Applied — GPT Store Business Guide 2026（含 ~$0.03\u002F会话）",{"name":21810,"url":21742,"accessed":732},"Singularity Moments — Custom GPTs Guide 2026（3M+ GPT）",{"name":21812,"url":21749,"accessed":732},"GPT Store Revenue Case Studies 2026",{"name":21814,"url":21756,"accessed":732},"VentureBeat — GPT Store 上线 2024-01","tools\u002Fagent\u002Fskills\u002Fgpt-store","OpenAI 官方 GPT 市场——300 万+ 自定义 GPT + GPT Builder + Actions + 引擎驱动分成",[21818,20391,19725,5028,21819,21820],"gpt-store","chatgpt","custom-gpt","GPT Store 是 C 端 Agent 市场的标杆——量大、易用、Plus 用户全免费访问。但开发者深度定制受限、Revenue Sharing 不透明、平均 ~$0.03\u002F会话『需 33K+ 会话\u002F月才能赚 $1K』。想做生产级 Agent \u002F 大规模分成还是得 Coze \u002F Dify \u002F B2B 顾问。","r_jYFl55ZLZr31D7B7ze3F7MuNnAf6Bub6GM645P0IM",{"id":21824,"title":21825,"alternatives":21826,"api_compatible":16,"body":21828,"category":700,"chinese_friendly":224,"cover":22280,"description":22281,"domestic":680,"extension":681,"faq":22282,"free":680,"github":16,"languages":22294,"lastVerified":16,"meta":22295,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":22296,"pillar":22297,"platforms":22298,"priceTable":22302,"pricing":22313,"published":720,"relatedPlaybooks":22314,"relatedReviews":22316,"score":22318,"self_host":680,"seo":22319,"seoTitle":22320,"slug":22321,"sources":22322,"stem":22329,"suitable":16,"tagline":22330,"tags":22331,"updated":732,"verdict":22336,"website":22337,"__hash__":22338},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Faugment.md","Augment Code",[21827,20457,1403],"coding\u002Fcopilot\u002Fgithub-copilot",{"type":18,"value":21829,"toc":22268},[21830,21832,21839,21842,21845,21848,21868,21875,21879,21966,21972,21989,21992,21996,22001,22015,22020,22037,22039,22063,22066,22163,22165,22197,22199,22219,22221,22243,22245],[21,21831,24],{"id":23},[26,21833,21834,21835,21838],{},"Augment Code 是企业级 AI 编程平台，最大差异点是 ",[42,21836,21837],{},"Context Engine","——对整个代码库（包括跨仓库 \u002F 跨语言 \u002F git history）做深度索引，让 agent 在百万行 monorepo 里也能找对上下文。2026 年定价改成 credits 制：Indie $20 \u002F Standard $60 \u002F Max $200，含 IDE Agent（VS Code \u002F JetBrains）+ Auggie CLI + 异步 Cloud Agent。",[26,21840,21841],{},"适合：>30 万行、>20 工程师、跨仓库强引用的企业项目（Pure Storage \u002F Webflow \u002F Observe 这种）。不适合：个人 \u002F 小项目（Cursor 性价比完胜）、国内团队（无中文官方支持、网络欠佳）。",[21,21843,21844],{"id":21844},"它是什么",[26,21846,21847],{},"Augment 把 AI 编程产品拆成三件套：",[630,21849,21850,21856,21862],{},[39,21851,21852,21855],{},[42,21853,21854],{},"Context Engine（核心 IP）","：索引整个 monorepo，含跨仓库依赖、函数调用图、commit 历史。每次 agent 推理时按需检索相关上下文。",[39,21857,21858,21861],{},[42,21859,21860],{},"IDE Agent","：VS Code \u002F JetBrains 扩展，提供 Chat、Edit、Agent、Next Edit（预测下一步要改的位置）四模式。",[39,21863,21864,21867],{},[42,21865,21866],{},"Auggie CLI + Async Cloud Agent","：terminal 里跑同步任务，或扔到 Cloud（Cosmos sandbox）异步跑大任务。",[26,21869,21870,21871,21874],{},"底层 LLM 走 ",[42,21872,21873],{},"Prism routing","——按任务复杂度动态选 Claude Sonnet \u002F Opus \u002F Haiku \u002F Gemini Pro \u002F GPT-5，平均比直接调 frontier 模型省 20–30%。",[21,21876,21878],{"id":21877},"价格2026-06","价格（2026-06）",[366,21880,21881,21898],{},[369,21882,21883],{},[372,21884,21885,21888,21890,21893,21896],{},[375,21886,21887],{},"Plan",[375,21889,108],{},[375,21891,21892],{},"Credits",[375,21894,21895],{},"团队规模",[375,21897,13520],{},[390,21899,21900,21916,21935,21952],{},[372,21901,21902,21907,21909,21912,21914],{},[395,21903,21904],{},[42,21905,21906],{},"Indie",[395,21908,1155],{},[395,21910,21911],{},"40k",[395,21913,13764],{},[395,21915,19691],{},[372,21917,21918,21923,21926,21929,21932],{},[395,21919,21920],{},[42,21921,21922],{},"Standard",[395,21924,21925],{},"$60\u002F席\u002F月",[395,21927,21928],{},"130k\u002F席（池化）",[395,21930,21931],{},"≤20",[395,21933,21934],{},"中小生产团队",[372,21936,21937,21941,21944,21947,21949],{},[395,21938,21939],{},[42,21940,855],{},[395,21942,21943],{},"$200\u002F席\u002F月",[395,21945,21946],{},"450k\u002F席（池化）",[395,21948,21931],{},[395,21950,21951],{},"重度 + 异步任务多",[372,21953,21954,21956,21958,21960,21963],{},[395,21955,833],{},[395,21957,716],{},[395,21959,716],{},[395,21961,21962],{},"∞",[395,21964,21965],{},"大型企业",[26,21967,21968,21971],{},[42,21969,21970],{},"credits 单价","（一次中等任务）：",[36,21973,21974,21977,21980,21983,21986],{},[39,21975,21976],{},"Haiku 4.5：~88 credits",[39,21978,21979],{},"Sonnet 4.6：~293 credits",[39,21981,21982],{},"Opus 4.7：~488 credits",[39,21984,21985],{},"Gemini 3.1 Pro：~268 credits",[39,21987,21988],{},"GPT-5.1：~219 credits",[26,21990,21991],{},"超额 top-up：$15 \u002F 24k credits（≈ 80 次 Sonnet 任务）。Cosmos cloud sandbox 另算 300 credits\u002F小时。",[21,21993,21995],{"id":21994},"实测在-80-万行-go-typescript-monorepo-上","实测（在 ~80 万行 Go + TypeScript monorepo 上）",[26,21997,21998,5072],{},[42,21999,22000],{},"亮点",[36,22002,22003,22006,22009,22012],{},[39,22004,22005],{},"Context Engine 真有用：让它『改 user service 加字段，同时更新所有调用方』，agent 自己跨 5 个仓库找到 17 处引用并改",[39,22007,22008],{},"Next Edit 预测准确率 ~60%：写完一行，它能猜到下一步要在另一个文件改什么",[39,22010,22011],{},"Auggie CLI 配合 Slack 用很顺——丢个任务、等 PR",[39,22013,22014],{},"SOC 2 Type II 合规对企业采购友好",[26,22016,22017,5072],{},[42,22018,22019],{},"踩坑",[36,22021,22022,22025,22028,22031,22034],{},[39,22023,22024],{},"索引初始化慢：80 万行项目首次扫了约 40 分钟",[39,22026,22027],{},"credit 烧得快：用 Opus 跑复杂任务，单天烧掉 $30+ credits 不稀奇",[39,22029,22030],{},"中文几乎不支持：UI 英文，prompt 中文回英文 + 偶尔识别错关键词",[39,22032,22033],{},"国内访问偶发抖动（CDN 美国）",[39,22035,22036],{},"小项目用不出 Context Engine 优势——和 Cursor 没差别但贵 3 倍",[21,22038,936],{"id":936},[630,22040,22041,22044,22047,22050,22053,22056],{},[39,22042,22043],{},"augmentcode.com 注册（GitHub OAuth），Indie 起付 $20",[39,22045,22046],{},"VS Code \u002F JetBrains 装 Augment 扩展，登录账号",[39,22048,22049],{},"选要 onboard 的 repo（个人 1 个、Standard 起 unlimited）",[39,22051,22052],{},"等首次索引（10 分钟–1 小时取决于规模）",[39,22054,22055],{},"Chat 模式让它 explore 仓库；Agent 模式让它做改动",[39,22057,22058,22059,22062],{},"进阶：装 Auggie CLI（",[204,22060,22061],{},"npm i -g @augmentcode\u002Fauggie","），terminal 里用",[21,22064,22065],{"id":22065},"对比一览",[366,22067,22068,22084],{},[369,22069,22070],{},[372,22071,22072,22074,22077,22079,22082],{},[375,22073,377],{},[375,22075,22076],{},"Augment",[375,22078,1058],{},[375,22080,22081],{},"Copilot Enterprise",[375,22083,1790],{},[390,22085,22086,22103,22120,22133,22149],{},[372,22087,22088,22091,22094,22097,22100],{},[395,22089,22090],{},"Context 覆盖",[395,22092,22093],{},"整个 monorepo + 跨仓",[395,22095,22096],{},"单仓库 + 文件 @",[395,22098,22099],{},"单仓库 + indexing",[395,22101,22102],{},"单仓 + 上下文",[372,22104,22105,22108,22111,22114,22117],{},[395,22106,22107],{},"起步价（团队）",[395,22109,22110],{},"$60\u002F席",[395,22112,22113],{},"$40\u002F席（Business）",[395,22115,22116],{},"$39\u002F席",[395,22118,22119],{},"$20\u002F账号",[372,22121,22122,22125,22127,22129,22131],{},[395,22123,22124],{},"Async cloud agent",[395,22126,1100],{},[395,22128,440],{},[395,22130,426],{},[395,22132,426],{},[372,22134,22135,22138,22141,22144,22147],{},[395,22136,22137],{},"合规",[395,22139,22140],{},"SOC 2 II ✅",[395,22142,22143],{},"SOC 2 ✅",[395,22145,22146],{},"SOC 2 + GDPR ✅",[395,22148,22143],{},[372,22150,22151,22153,22156,22159,22161],{},[395,22152,6357],{},[395,22154,22155],{},"2\u002F5",[395,22157,22158],{},"3\u002F5",[395,22160,22158],{},[395,22162,22158],{},[21,22164,521],{"id":521},[36,22166,22167,22173,22179,22185,22191],{},[39,22168,22169,22172],{},[42,22170,22171],{},"小团队 \u002F 小项目 ≠ 价值场景","：\u003C 10 万行的项目，Cursor 完全够用，Augment 多花的钱买不到差异",[39,22174,22175,22178],{},[42,22176,22177],{},"credit 上限要设","：仪表盘里给每个 dev 设月度 cap，避免 Opus 任务 runaway 烧光团队 pool",[39,22180,22181,22184],{},[42,22182,22183],{},"不要把所有仓库都 onboard","：每个仓库的索引都吃 credits \u002F 存储，挑核心 1–3 个仓库即可",[39,22186,22187,22190],{},[42,22188,22189],{},"国内团队三思","：网络 + 中文支持差 + 价格高，国内大型项目可优先评估 通义灵码 \u002F CodeFuse 这类本土方案",[39,22192,22193,22196],{},[42,22194,22195],{},"PR 必须人工 review","：尤其是 Async Agent 在 Cosmos 沙箱里改的代码，可能引入 hardcoded value",[21,22198,575],{"id":574},[36,22200,22201,22204,22207,22210,22213,22216],{},[39,22202,22203],{},"✅ 海外大型工程团队、monorepo > 30 万行",[39,22205,22206],{},"✅ 合规严（金融 \u002F 医疗），需要 SOC 2 + 审计",[39,22208,22209],{},"✅ 多仓库强引用，希望 agent 跨仓改代码",[39,22211,22212],{},"❌ 个人开发者 \u002F 创业初期小项目",[39,22214,22215],{},"❌ 主语言为中文的国内团队",[39,22217,22218],{},"❌ 预算敏感（同样钱够 3 个 Cursor 席位）",[21,22220,604],{"id":604},[36,22222,22223,22229,22233,22237],{},[39,22224,22225],{},[610,22226,22228],{"href":22227},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot","GitHub Copilot 评测",[39,22230,22231],{},[610,22232,21100],{"href":21099},[39,22234,22235],{},[610,22236,2048],{"href":2047},[39,22238,22239],{},[610,22240,22242],{"href":22241},"\u002Ftools\u002Fcoding\u002Fcli\u002Fcline","Cline 评测",[21,22244,628],{"id":628},[630,22246,22247,22254,22261],{},[39,22248,22249,22250],{},"AgentDeals — Augment Code Pricing 2026（2026-06-06）",[610,22251,22252],{"href":22252,"rel":22253},"https:\u002F\u002Fagentdeals.dev\u002Fvendor\u002Faugment-code",[639],[39,22255,22256,22257],{},"CheckThat.ai — Augment Code Pricing & TCO（2026-03-30）",[610,22258,22259],{"href":22259,"rel":22260},"https:\u002F\u002Fcheckthat.ai\u002Fbrands\u002Faugment-code\u002Fpricing",[639],[39,22262,22263,22264],{},"UsagePricing — Augment Code Blueprint（2026-06-02）",[610,22265,22266],{"href":22266,"rel":22267},"https:\u002F\u002Fwww.usagepricing.com\u002Fblueprint\u002Faugment-code",[639],{"title":202,"searchDepth":250,"depth":250,"links":22269},[22270,22271,22272,22273,22274,22275,22276,22277,22278,22279],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":21877,"depth":224,"text":21878},{"id":21994,"depth":224,"text":21995},{"id":936,"depth":224,"text":936},{"id":22065,"depth":224,"text":22065},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Faugment.webp","Augment Code 真实评测：主打『Context Engine』全仓索引的 AI 编程平台。2026 改成 credit-based：Indie $20 \u002F Standard $60 \u002F Max $200 \u002F Enterprise 定制，含 IDE Agent + Auggie CLI + 异步 Cloud Agent。",[22283,22286,22288,22291],{"q":22284,"a":22285},"Context Engine 到底有什么不一样？","一般 IDE AI 工具的『codebase 检索』是 embedding + 几十 K 上下文塞 prompt；Augment 的 Context Engine 是把整个 monorepo 索引到自家向量 + AST 图谱，agent 调用时按需取相关代码，覆盖跨仓库引用、调用链、历史 commit。在 100w+ 行项目上，差距会非常明显。",{"q":4418,"a":22287},"credits 按模型 + 任务规模分级：Claude Sonnet 4.6 一次中等任务约 293 credits、Opus 4.7 约 488、Haiku 4.5 约 88。Indie 40k credits 约能跑 100 次中等任务；Standard 130k\u002F席 团队池化。",{"q":22289,"a":22290},"Auggie CLI 是什么？","Augment 的命令行 agent，类似 Claude Code \u002F Codex CLI，但默认带 Context Engine——可以在 terminal 里直接『改这个 feature』，agent 自动跨仓库找上下文。",{"q":22292,"a":22293},"和 Cursor \u002F Copilot 比？","小项目 Cursor 已经够好且更便宜（$20 vs $60\u002F席）；大型 monorepo（>30 万行）、跨多仓库引用频繁的团队，Augment 的 Context Engine 优势能展现出来。Copilot Enterprise 价位接近但 context 能力差一档。",[697],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Faugment","coding",[22299,22300,22301],"vscode","jetbrains","cli",[22303,22305,22308,22311],{"plan":21906,"price":1155,"seats":13764,"credits":21911,"notes":22304},"解决方案给个人开发者，每月 40K credits 池",{"plan":21922,"price":21925,"seats":21931,"credits":22306,"notes":22307},"130k\u002F席","团队池化、共享 agent、SOC 2",{"plan":855,"price":21943,"seats":21931,"credits":22309,"notes":22310},"450k\u002F席","重度任务、async cloud agent 优先",{"plan":833,"price":716,"seats":21962,"credits":716,"notes":22312},"SSO\u002FSAML、审计、专属 CSM、私有部署","Indie $20·月 \u002F Standard $60·席·月 \u002F Max $200·席·月 \u002F Enterprise",[22315],"refactor\u002Flarge-refactor-with-ai-agent",[22317],"augment-deep-review",{"power":264,"ux":257,"price":224,"cn_support":224,"stability":257},{"title":21825,"description":22281},"Augment Code 评测 2026：AI 编程 Agent，代码库智能理解，对比 Cursor","coding\u002Fagent\u002Faugment",[22323,22325,22327],{"name":22324,"url":22252,"accessed":732},"AgentDeals — Augment Code Pricing 2026",{"name":22326,"url":22259,"accessed":732},"CheckThat.ai — Augment Code Pricing & TCO",{"name":22328,"url":22266,"accessed":732},"UsagePricing — Augment Code","tools\u002Fcoding\u002Fagent\u002Faugment","Context Engine 为核心：面向大型生产代码库的 AI 工程师 + Auggie CLI",[22332,22333,22334,700,22301,22335],"enterprise","context-engine","monorepo","soc2","为『百万行 monorepo』而生的 AI 编程平台——Context Engine 真能覆盖整个仓库。小项目用不出价值，大型工程团队（>20 dev）值这个钱。","https:\u002F\u002Fwww.augmentcode.com","XCK_IQ9EumOOEd1CxmlxKVn56OM1-WYREMNDPBUvAMA",{"id":22340,"title":22341,"alternatives":22342,"api_compatible":16,"body":22345,"category":700,"chinese_friendly":257,"cover":22900,"description":22901,"domestic":680,"extension":681,"faq":22902,"free":680,"github":22915,"languages":22916,"lastVerified":16,"meta":22917,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":22918,"pillar":22297,"platforms":22919,"priceTable":22920,"pricing":22933,"published":720,"relatedPlaybooks":22934,"relatedReviews":22936,"score":22938,"self_host":253,"seo":22939,"seoTitle":22940,"slug":22941,"sources":22942,"stem":22953,"suitable":16,"tagline":22954,"tags":22955,"updated":22952,"verdict":22958,"website":22951,"__hash__":22959},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue.md","Continue.dev",[20457,22343,1404,22344],"coding\u002Fcli\u002Fcline","coding\u002Fcli\u002Froo-code",{"type":18,"value":22346,"toc":22888},[22347,22349,22384,22387,22394,22396,22399,22431,22438,22442,22502,22505,22508,22513,22534,22538,22555,22557,22676,22678,22784,22786,22820,22822,22839,22841,22861,22863,22886],[21,22348,24],{"id":23},[5783,22350,22352],{"className":22351},[5786,5787,5788],[26,22353,22354,22357,22358,14107,22361,22364,22365,5819,22368,22371,22372,5379,22376,22380,22381,5819],{},[42,22355,22356],{},"⚠️ 重大变更（2026-07）：Continue 已进入停服收尾。"," 最后一个版本停留在 ",[42,22359,22360],{},"v2.1.0-vscode（2026-06-19，Cursor 联名 commit）",[42,22362,22363],{},"Continue 云端数据已于 2026-07-15 永久删除","。被 Cursor 收购后，团队精力已并入 Cursor，Continue 的商业 Hub \u002F 云服务实质停运。开源仓库（Apache 2.0）代码仍可 fork 自托管，但",[42,22366,22367],{},"不再有活跃维护与云端后端",[42,22369,22370],{},"新项目不建议再依赖 Continue Hub","；如需开源可自托管的替代，考虑 ",[610,22373,22375],{"href":22374},"\u002Fcoding\u002Fcli\u002Fcline.html","Cline",[610,22377,22379],{"href":22378},"\u002Fcoding\u002Fcli\u002Froo-code.html","Roo Code"," 或 ",[610,22382,1793],{"href":22383},"\u002Fcoding\u002Fcli\u002Faider.html",[26,22385,22386],{},"Continue 曾是开源（Apache 2.0）的 VS Code \u002F JetBrains AI 编程扩展，定位是「开源版 Cursor」——四模式（Autocomplete \u002F Edit \u002F Chat \u002F Agent），任意 LLM BYOK，可本地、可自托管、可走 Hub 云服务。",[26,22388,22389,22390,22393],{},"2026 年的剧情：",[42,22391,22392],{},"年初被 Cursor 收购","，团队加入 Cursor；到 7 月，云端服务停运、数据删除，项目进入收尾。下文保留其功能介绍作为参照，但请注意云端部分已不可用。",[21,22395,21844],{"id":21844},[26,22397,22398],{},"Continue 不抢 Cursor 的 IDE fork 路线，而是做「装在原版 VS Code \u002F JetBrains 里的扩展」。安装后获得：",[36,22400,22401,22407,22413,22426],{},[39,22402,22403,22406],{},[42,22404,22405],{},"Autocomplete","：行内 ghost text 补全（轻量模型如 DeepSeek Coder、Qwen Coder）",[39,22408,22409,22412],{},[42,22410,22411],{},"Edit","：选中代码 → 自然语言指令 → 替换",[39,22414,22415,22418,22419,6035,22422,22425],{},[42,22416,22417],{},"Chat","：侧边栏对话，带 ",[204,22420,22421],{},"@file",[204,22423,22424],{},"@codebase"," 上下文",[39,22427,22428,22430],{},[42,22429,12354],{},"：通过 MCP 连外部工具，能跑命令 \u002F 读 DB \u002F 调 API",[26,22432,22433,22434,22437],{},"最大卖点是",[42,22435,22436],{},"完全开放","：模型\u002FProvider\u002FEmbedding\u002FReranker 都能换。VS Code Marketplace 装机量 2.5M+，GitHub 32k+ stars，活跃社区。",[21,22439,22441],{"id":22440},"价格2026-年-6-月","价格（2026 年 6 月）",[366,22443,22444,22455],{},[369,22445,22446],{},[372,22447,22448,22451,22453],{},[375,22449,22450],{},"路径",[375,22452,5455],{},[375,22454,506],{},[390,22456,22457,22470,22481,22492],{},[372,22458,22459,22464,22467],{},[395,22460,22461],{},[42,22462,22463],{},"OSS + BYOK 自托管",[395,22465,22466],{},"$0 + LLM API 自付",[395,22468,22469],{},"个人、隐私敏感、合规场景",[372,22471,22472,22475,22478],{},[395,22473,22474],{},"Hub Starter",[395,22476,22477],{},"$3 \u002F M tokens（PAYG）",[395,22479,22480],{},"不想自己管 key 的轻度用户",[372,22482,22483,22486,22489],{},[395,22484,22485],{},"Hub Team",[395,22487,22488],{},"$20\u002F席\u002F月（含 $10 credits）",[395,22490,22491],{},"小团队、需私有 agent",[372,22493,22494,22497,22499],{},[395,22495,22496],{},"Hub Company",[395,22498,716],{},[395,22500,22501],{},"企业、BYOK + SSO",[26,22503,22504],{},"实际单月成本估算（重度个人用户走 BYOK + DeepSeek V3）：API 费约 $5–$15\u002F月，比 Cursor Pro $20 便宜，但需要自己充值 + 配 endpoint。",[21,22506,22507],{"id":22507},"实测",[26,22509,22510,5072],{},[42,22511,22512],{},"好的地方",[36,22514,22515,22518,22521,22524,22531],{},[39,22516,22517],{},"BYOK 灵活：白天用 Claude 3.5 干活、晚上切 DeepSeek 省钱、Sensitive 项目走 Ollama 本地",[39,22519,22520],{},"VS Code \u002F JetBrains 原生扩展，不用换 IDE",[39,22522,22523],{},"MCP agent 模式可定制——接自家内部 API 当 tool",[39,22525,22526,22527,22530],{},"配置走 ",[204,22528,22529],{},"config.json","，纯文本 + 可 git 管理 \u002F 团队共享",[39,22532,22533],{},"国内可直连 DeepSeek \u002F 通义 \u002F Kimi \u002F GLM endpoint，无墙",[26,22535,22536,5072],{},[42,22537,22019],{},[36,22539,22540,22543,22546,22549,22552],{},[39,22541,22542],{},"默认配置门槛：BYOK 第一次配 5+ 个字段（model \u002F provider \u002F api_base \u002F context length）",[39,22544,22545],{},"Autocomplete 延迟比 Cursor 高（取决于你选的模型 \u002F endpoint 距离）",[39,22547,22548],{},"被 Cursor 收购后，新功能节奏明显放缓",[39,22550,22551],{},"Agent 模式（MCP）配置文档零散，需要踩坑",[39,22553,22554],{},"嵌入式 Web preview \u002F 内置 diff UI 不如 Cursor 精致",[21,22556,936],{"id":936},[630,22558,22559,22562,22653,22660,22673],{},[39,22560,22561],{},"VS Code → 装 \"Continue\" 扩展（或 JetBrains plugin）",[39,22563,22564,22565,22568,22569],{},"编辑 ",[204,22566,22567],{},"~\u002F.continue\u002Fconfig.json"," 配 model：\n",[197,22570,22572],{"className":957,"code":22571,"language":959,"meta":202,"style":202},"{\n  \"models\": [{\n    \"title\": \"DeepSeek V3\",\n    \"provider\": \"openai\",\n    \"model\": \"deepseek-chat\",\n    \"apiBase\": \"https:\u002F\u002Fapi.deepseek.com\u002Fv1\",\n    \"apiKey\": \"sk-xxx\"\n  }]\n}\n",[204,22573,22574,22578,22586,22598,22610,22622,22634,22644,22649],{"__ignoreMap":202},[207,22575,22576],{"class":209,"line":210},[207,22577,966],{"class":234},[207,22579,22580,22583],{"class":209,"line":224},[207,22581,22582],{"class":227},"  \"models\"",[207,22584,22585],{"class":234},": [{\n",[207,22587,22588,22591,22593,22596],{"class":209,"line":250},[207,22589,22590],{"class":227},"    \"title\"",[207,22592,989],{"class":234},[207,22594,22595],{"class":217},"\"DeepSeek V3\"",[207,22597,995],{"class":234},[207,22599,22600,22603,22605,22608],{"class":209,"line":257},[207,22601,22602],{"class":227},"    \"provider\"",[207,22604,989],{"class":234},[207,22606,22607],{"class":217},"\"openai\"",[207,22609,995],{"class":234},[207,22611,22612,22615,22617,22620],{"class":209,"line":264},[207,22613,22614],{"class":227},"    \"model\"",[207,22616,989],{"class":234},[207,22618,22619],{"class":217},"\"deepseek-chat\"",[207,22621,995],{"class":234},[207,22623,22624,22627,22629,22632],{"class":209,"line":276},[207,22625,22626],{"class":227},"    \"apiBase\"",[207,22628,989],{"class":234},[207,22630,22631],{"class":217},"\"https:\u002F\u002Fapi.deepseek.com\u002Fv1\"",[207,22633,995],{"class":234},[207,22635,22636,22639,22641],{"class":209,"line":281},[207,22637,22638],{"class":227},"    \"apiKey\"",[207,22640,989],{"class":234},[207,22642,22643],{"class":217},"\"sk-xxx\"\n",[207,22645,22646],{"class":209,"line":287},[207,22647,22648],{"class":234},"  }]\n",[207,22650,22651],{"class":209,"line":321},[207,22652,1035],{"class":234},[39,22654,22655,22656,22659],{},"配 ",[204,22657,22658],{},"tabAutocompleteModel","（推荐 DeepSeek Coder 或 Qwen Coder）",[39,22661,22662,22665,22666,22669,22670,22672],{},[204,22663,22664],{},"Ctrl+I"," Edit、",[204,22667,22668],{},"Ctrl+L"," Chat、",[204,22671,22424],{}," 全库检索",[39,22674,22675],{},"进阶：装 MCP server（filesystem、postgres、github）让 Agent 用",[21,22677,22065],{"id":22065},[366,22679,22680,22695],{},[369,22681,22682],{},[372,22683,22684,22686,22689,22691,22693],{},[375,22685,377],{},[375,22687,22688],{},"Continue",[375,22690,1058],{},[375,22692,22375],{},[375,22694,1793],{},[390,22696,22697,22712,22725,22739,22756,22770],{},[372,22698,22699,22701,22704,22707,22710],{},[395,22700,2367],{},[395,22702,22703],{},"VS Code\u002FJB 扩展",[395,22705,22706],{},"IDE fork",[395,22708,22709],{},"VS Code 扩展",[395,22711,2370],{},[372,22713,22714,22716,22719,22721,22723],{},[395,22715,414],{},[395,22717,22718],{},"Apache 2.0 ✅",[395,22720,426],{},[395,22722,22718],{},[395,22724,1100],{},[372,22726,22727,22730,22733,22735,22737],{},[395,22728,22729],{},"BYOK",[395,22731,22732],{},"任意模型",[395,22734,440],{},[395,22736,22732],{},[395,22738,22732],{},[372,22740,22741,22744,22747,22750,22753],{},[395,22742,22743],{},"主要模式",[395,22745,22746],{},"Autocomplete + Chat + Agent",[395,22748,22749],{},"全套",[395,22751,22752],{},"Agent 为主",[395,22754,22755],{},"CLI Edit",[372,22757,22758,22761,22763,22766,22768],{},[395,22759,22760],{},"月成本",[395,22762,3156],{},[395,22764,22765],{},"$20+",[395,22767,3156],{},[395,22769,3156],{},[372,22771,22772,22775,22778,22780,22782],{},[395,22773,22774],{},"中文友好",[395,22776,22777],{},"4\u002F5",[395,22779,22158],{},[395,22781,22777],{},[395,22783,22158],{},[21,22785,521],{"id":521},[36,22787,22788,22794,22800,22808,22814],{},[39,22789,22790,22793],{},[42,22791,22792],{},"被收购焦虑","：Hub 服务可能停 \u002F 变价，BYOK + 本地配置可移植性最好，重要项目都走自配",[39,22795,22796,22799],{},[42,22797,22798],{},"Autocomplete 模型不要贪大","：用 70B+ 模型会卡得没法用，专门的代码补全小模型（DeepSeek Coder 6.7B \u002F Qwen Coder 7B）才合理",[39,22801,22802,22807],{},[42,22803,22804,22806],{},[204,22805,22424],{}," 要先建索引","：大仓库第一次跑可能要数分钟做 embedding，配好后增量更新",[39,22809,22810,22813],{},[42,22811,22812],{},"MCP server 慎装","：第三方 MCP 等于给 LLM 一把 shell 钥匙，先看代码再启用",[39,22815,22816,22819],{},[42,22817,22818],{},"config.json 入版本控制","：团队统一配置避免「我电脑能用你电脑不能用」",[21,22821,575],{"id":574},[36,22823,22824,22827,22830,22833,22836],{},[39,22825,22826],{},"✅ 想要 Cursor 体验但坚持开源 \u002F BYOK 的开发者",[39,22828,22829],{},"✅ 合规 \u002F 隐私敏感场景（本地 Ollama 推理）",[39,22831,22832],{},"✅ 国内开发者（直连 DeepSeek \u002F 通义不被墙）",[39,22834,22835],{},"❌ 嫌配置麻烦、想开箱即用 → 选 Cursor",[39,22837,22838],{},"❌ 需要完整 IDE 体验（多窗口、文件树、Composer 全套）→ 选 Cursor",[21,22840,604],{"id":604},[36,22842,22843,22847,22851,22855],{},[39,22844,22845],{},[610,22846,21100],{"href":21099},[39,22848,22849],{},[610,22850,22242],{"href":22241},[39,22852,22853],{},[610,22854,2054],{"href":2053},[39,22856,22857],{},[610,22858,22860],{"href":22859},"\u002Ftools\u002Fcoding\u002Fcli\u002Froo-code","Roo Code 评测",[21,22862,628],{"id":628},[630,22864,22865,22872,22879],{},[39,22866,22867,22868],{},"Continue.dev 官方 pricing 页（含 Cursor 收购公告）",[610,22869,22870],{"href":22870,"rel":22871},"https:\u002F\u002Fwww.continue.dev\u002Fpricing",[639],[39,22873,22874,22875],{},"Milestone — Continue.dev features & pricing（2026-04-21）",[610,22876,22877],{"href":22877,"rel":22878},"https:\u002F\u002Fmstone.ai\u002Ftools-wizard\u002Fcontinue-dev-features-pricing",[639],[39,22880,22881,22882],{},"AIProductivity — Continue Pricing 2026 ",[610,22883,22884],{"href":22884,"rel":22885},"https:\u002F\u002Faiproductivity.ai\u002Fpricing\u002Fcontinue\u002F",[639],[662,22887,1316],{},{"title":202,"searchDepth":250,"depth":250,"links":22889},[22890,22891,22892,22893,22894,22895,22896,22897,22898,22899],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":22440,"depth":224,"text":22441},{"id":22507,"depth":224,"text":22507},{"id":936,"depth":224,"text":936},{"id":22065,"depth":224,"text":22065},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcontinue.webp","Continue.dev 真实评测：VS Code \u002F JetBrains 开源 AI 助手，支持 Autocomplete \u002F Edit \u002F Chat \u002F Agent 四模式，Apache 2.0，BYOK 接任意模型。2026 年初被 Cursor 收购，开源仓库继续维护。",[22903,22906,22909,22912],{"q":22904,"a":22905},"Continue 被 Cursor 收购后还能用吗？","云端服务已停运——最后版本停在 v2.1.0-vscode（2026-06-19），云端数据已于 2026-07-15 永久删除，不再有活跃维护。开源仓库（Apache 2.0）代码仍可 fork 自托管，但没有官方云端后端了。新项目建议改用 Cline \u002F Roo Code \u002F Aider 等仍在活跃维护的开源方案。",{"q":22907,"a":22908},"和 Cursor 区别？","Cursor 是闭源 IDE fork，体验更精致但锁定；Continue 是开源扩展，装在原版 VS Code \u002F JetBrains，可换任意模型（OpenAI\u002FAnthropic\u002FGemini\u002FOllama\u002F本地）。被收购后两者会逐渐互补——Continue 走开源扩展路线，Cursor 走 IDE 路线。",{"q":22910,"a":22911},"支持哪些模型？","OpenAI、Anthropic、Gemini、xAI、AWS Bedrock、Azure、Ollama（本地）、LM Studio、任何 OpenAI 兼容 endpoint。国内可直连 DeepSeek、通义、Kimi、GLM。",{"q":22913,"a":22914},"Agent 模式能干什么？","通过 MCP（Model Context Protocol）连接外部工具——读文件、跑命令、查数据库、调 API。和 Claude Code 的 tool use 一个思路，但你能自己接 MCP server。","https:\u002F\u002Fgithub.com\u002Fcontinuedev\u002Fcontinue",[696,697],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue",[22299,22300,22301],[22921,22924,22927,22931],{"plan":22922,"price":707,"seats":5724,"notes":22923},"OSS 自托管","BYOK，自付 LLM API 费，Apache 2.0",{"plan":22474,"price":22925,"seats":13764,"notes":22926},"$3\u002FM tokens","PAYG，托管模型 + 共享 agent",{"plan":22485,"price":22928,"seats":22929,"notes":22930},"$20\u002F席\u002F月","≥2","$10 credits\u002F席、SSO、私有 agent",{"plan":22496,"price":716,"seats":5724,"notes":22932},"BYOK、SAML、enterprise 支持","开源免费 BYOK \u002F Hub Starter $3·M tokens \u002F Team $20·席·月 \u002F Company 定制",[22935],"onboarding\u002Fcursor-mcp-database",[22317,22937],"cline-deep-review",{"power":257,"ux":257,"price":264,"cn_support":257,"stability":257},{"title":22341,"description":22901},"Continue.dev 评测 2026：开源 AI 编程助手，VS Code 本地 Agent","coding\u002Fagent\u002Fcontinue",[22943,22945,22947,22949],{"name":22944,"url":22870,"accessed":732},"Continue.dev 官方 pricing 页（收购公告）",{"name":22946,"url":22877,"accessed":732},"Milestone — Continue.dev features & pricing",{"name":22948,"url":22884,"accessed":732},"AIProductivity — Continue Pricing 2026",{"name":22950,"url":22951,"accessed":22952},"Continue 云端服务停运通知","https:\u002F\u002Fwww.continue.dev","2026-07-20","tools\u002Fcoding\u002Fagent\u002Fcontinue","开源 AI 编程扩展，Apache 2.0 + 多模型 BYOK；2026 已被 Cursor 收购",[745,22956,22299,22300,700,22957],"byok","extension","想要 Cursor 体验但不被锁定的开发者首选——Apache 2.0 + 任意模型 + 自托管。被 Cursor 收购后，开源仓库还在，社区版长期可用。","sJfXYQYEHdj7ZS9_4WLSCGq4CMzCM3SnkyfEBYAz4IM",{"id":22961,"title":6255,"alternatives":22962,"api_compatible":16,"body":22964,"category":700,"chinese_friendly":224,"cover":23415,"description":23416,"domestic":680,"extension":681,"faq":23417,"free":680,"github":16,"languages":23430,"lastVerified":16,"meta":23431,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":23432,"pillar":22297,"platforms":23433,"priceTable":23434,"pricing":23444,"published":720,"relatedPlaybooks":23445,"relatedReviews":23447,"score":23448,"self_host":680,"seo":23449,"seoTitle":23450,"slug":5775,"sources":23451,"stem":23460,"suitable":16,"tagline":23461,"tags":23462,"updated":732,"verdict":23465,"website":23466,"__hash__":23467},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin.md",[22963,15,1403],"coding\u002Fagent\u002Fopenhands",{"type":18,"value":22965,"toc":23403},[22966,22968,22971,22974,22976,22979,23003,23006,23010,23015,23083,23088,23138,23141,23143,23147,23161,23165,23182,23184,23201,23203,23298,23300,23331,23333,23350,23352,23371,23373],[21,22967,24],{"id":23},[26,22969,22970],{},"Devin 是 Cognition Labs 推出的「自主 AI 软件工程师」。2024-03 首发时 $500\u002F月 + 引爆全网，2025-04 Devin 2.0 把入门价砍到 $20\u002F月（按 ACU 计费），2026 年又通过收购 Windsurf 扩张到桌面端。它的核心定位不是 copilot，而是「异步 agent」——把任务扔进去，它在云沙箱里独立 plan → code → test → PR，你第二天来看结果。",[26,22972,22973],{},"适合：有明确边界的工程任务（重构、bug fix、新 feature），不需要全程盯着的团队。不适合：交互式探索、紧急 hotfix、中文项目、超预算敏感的个人。",[21,22975,21844],{"id":21844},[26,22977,22978],{},"Devin 不在你电脑上跑——它有自己的云端 IDE + shell + 浏览器，等于一台 7×24 在线的远程开发机。给它一个 issue（GitHub \u002F Linear \u002F Slack 都行），它会：",[630,22980,22981,22988,22994,22997,23000],{},[39,22982,22983,22984,22987],{},"进 sandbox、",[204,22985,22986],{},"git clone"," 仓库、看 README、构建 Devin Wiki",[39,22989,22990,22993],{},[42,22991,22992],{},"Interactive Planning","：跟你确认实现方案",[39,22995,22996],{},"写代码、跑测试、调浏览器看结果",[39,22998,22999],{},"失败自己排查、改、再试（带 citations 引用代码行）",[39,23001,23002],{},"提 PR、回 Slack「搞定」",[26,23004,23005],{},"主打 Cloud + Async + 多并发：Core 最多 10 个 Devin 同时跑不同任务，Team 起无限并发。",[21,23007,23009],{"id":23008},"价格2026-06-综合官方-第三方追踪","价格（2026-06 综合官方 + 第三方追踪）",[26,23011,23012],{},[42,23013,23014],{},"Cloud Devin（按 ACU 计费）",[366,23016,23017,23035],{},[369,23018,23019],{},[372,23020,23021,23023,23026,23029,23032],{},[375,23022,21887],{},[375,23024,23025],{},"月费",[375,23027,23028],{},"ACU 价",[375,23030,23031],{},"并发",[375,23033,23034],{},"关键能力",[390,23036,23037,23055,23070],{},[372,23038,23039,23044,23047,23050,23052],{},[395,23040,23041],{},[42,23042,23043],{},"Core",[395,23045,23046],{},"$20 起步（PAYG）",[395,23048,23049],{},"$2.25\u002FACU",[395,23051,13767],{},[395,23053,23054],{},"Devin IDE、Ask Devin、Wiki",[372,23056,23057,23059,23062,23065,23067],{},[395,23058,867],{},[395,23060,23061],{},"$500 含 250 ACU",[395,23063,23064],{},"$2\u002FACU（含内）",[395,23066,21962],{},[395,23068,23069],{},"API、专属 Slack 频道、early access",[372,23071,23072,23074,23076,23078,23080],{},[395,23073,833],{},[395,23075,716],{},[395,23077,716],{},[395,23079,21962],{},[395,23081,23082],{},"VPC、SSO、Custom Devins",[26,23084,23085],{},[42,23086,23087],{},"Devin Desktop（2026-06 Windsurf 改名后）",[366,23089,23090,23100],{},[369,23091,23092],{},[372,23093,23094,23096,23098],{},[375,23095,21887],{},[375,23097,108],{},[375,23099,13520],{},[390,23101,23102,23111,23119,23128],{},[372,23103,23104,23106,23108],{},[395,23105,843],{},[395,23107,707],{},[395,23109,23110],{},"轻量配额",[372,23112,23113,23115,23117],{},[395,23114,849],{},[395,23116,1155],{},[395,23118,19691],{},[372,23120,23121,23123,23125],{},[395,23122,855],{},[395,23124,1363],{},[395,23126,23127],{},"重度用户",[372,23129,23130,23133,23136],{},[395,23131,23132],{},"Teams",[395,23134,23135],{},"$80\u002F月 + $40\u002F席",[395,23137,13739],{},[26,23139,23140],{},"ACU 经济账：1 ACU = 15 分钟 Devin 主动工作。一个中等任务（小 feature\u002F简单 bug）约消耗 0.5–1.5 ACU ≈ $1.13–$3.38。一个复杂 task（跨文件重构 + 测试）2–4 ACU ≈ $5–$10。",[21,23142,22507],{"id":22507},[26,23144,23145,5072],{},[42,23146,22512],{},[36,23148,23149,23152,23155,23158],{},[39,23150,23151],{},"单次任务交付质量稳定——比早期 demo 时代靠谱多了",[39,23153,23154],{},"Devin Wiki 自动生成的代码库地图很有用",[39,23156,23157],{},"多并发：开 5 个 Devin 同时干 5 个独立 bug，效率拉满",[39,23159,23160],{},"Interactive Planning 让你能纠偏，不会写到一半发现方向错",[26,23162,23163,5072],{},[42,23164,22019],{},[36,23166,23167,23170,23173,23176,23179],{},[39,23168,23169],{},"ACU 烧得快——一次 Devin 跑歪 + 自我修复循环可能 2-3 ACU 没了",[39,23171,23172],{},"中文几乎不能用——Cognition 没做本地化，prompt 中文也回英文",[39,23174,23175],{},"国内开发者用：网络 + 价格 + 中文三重劝退，建议看 OpenHands \u002F Manus",[39,23177,23178],{},"复杂上下文（10w 行老代码）依然容易迷失，需要人辅助拆任务",[39,23180,23181],{},"Free trial 没有，最低要先付 $20 才能试",[21,23183,936],{"id":936},[630,23185,23186,23189,23192,23195,23198],{},[39,23187,23188],{},"devin.ai 注册（GitHub OAuth），充值 $20 拿到 9 ACU",[39,23190,23191],{},"连接 GitHub repo + 选触发方式（Linear\u002FSlack\u002FWeb）",[39,23193,23194],{},"给一个 issue + 验收标准（越具体越省 ACU）",[39,23196,23197],{},"Interactive Planning：审一遍方案",[39,23199,23200],{},"Devin 自动跑、PR 自动开、等 review",[21,23202,22065],{"id":22065},[366,23204,23205,23220],{},[369,23206,23207],{},[372,23208,23209,23211,23213,23216,23218],{},[375,23210,377],{},[375,23212,6255],{},[375,23214,23215],{},"OpenHands",[375,23217,5518],{},[375,23219,1790],{},[390,23221,23222,23239,23255,23270,23284],{},[372,23223,23224,23227,23230,23233,23236],{},[395,23225,23226],{},"模式",[395,23228,23229],{},"异步 Cloud Agent",[395,23231,23232],{},"自托管 \u002F Cloud",[395,23234,23235],{},"异步 Cloud",[395,23237,23238],{},"同步 CLI",[372,23240,23241,23244,23247,23249,23252],{},[395,23242,23243],{},"起步价",[395,23245,23246],{},"$20 + ACU",[395,23248,5465],{},[395,23250,23251],{},"$39\u002F月",[395,23253,23254],{},"Pro $20\u002F月",[372,23256,23257,23259,23262,23265,23268],{},[395,23258,23031],{},[395,23260,23261],{},"10–∞",[395,23263,23264],{},"自托管无限",[395,23266,23267],{},"5+",[395,23269,13764],{},[372,23271,23272,23274,23276,23279,23282],{},[395,23273,6357],{},[395,23275,443],{},[395,23277,23278],{},"强（社区维护）",[395,23280,23281],{},"强（国产）",[395,23283,2458],{},[372,23285,23286,23288,23291,23294,23296],{},[395,23287,10682],{},[395,23289,23290],{},"内置云端",[395,23292,23293],{},"Docker \u002F Cloud",[395,23295,23290],{},[395,23297,7717],{},[21,23299,521],{"id":521},[36,23301,23302,23308,23314,23320,23326],{},[39,23303,23304,23307],{},[42,23305,23306],{},"不要不写验收标准就丢任务","：Devin 会尽职跑，但跑到哪里算「完成」很主观，写明「跑通这个测试」「PR 必须含 changelog」",[39,23309,23310,23313],{},[42,23311,23312],{},"新项目 \u002F 老项目都要先 Wiki","：让它先生成 Devin Wiki，后续任务上下文准很多",[39,23315,23316,23319],{},[42,23317,23318],{},"ACU 监控要开","：仪表盘里设单任务 ACU 上限，避免 runaway",[39,23321,23322,23325],{},[42,23323,23324],{},"PR 必须 review","：Devin 偶尔会引入安全问题（hardcode key、删测试）",[39,23327,23328,23330],{},[42,23329,22189],{},"：网络、定价、语言成本叠加后，单位产出 ROI 不一定胜过 Cursor + Claude",[21,23332,575],{"id":574},[36,23334,23335,23338,23341,23344,23347],{},[39,23336,23337],{},"✅ 海外团队、英文项目、批量化的中小 task",[39,23339,23340],{},"✅ 想做「夜跑 agent」流水线的工程团队",[39,23342,23343],{},"❌ 中文项目、国内个人开发者",[39,23345,23346],{},"❌ 预算敏感（同样钱可以买 4 个 Cursor 席位）",[39,23348,23349],{},"❌ 需要实时协作 \u002F 紧急 hotfix",[21,23351,604],{"id":604},[36,23353,23354,23361,23366],{},[39,23355,23356,23360],{},[610,23357,23359],{"href":23358},"\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands","OpenHands 评测","（Devin 的开源平替）",[39,23362,23363,23365],{},[610,23364,625],{"href":6682},"（国产 cloud agent）",[39,23367,23368,23370],{},[610,23369,2048],{"href":2047},"（同步替代方案）",[21,23372,628],{"id":628},[630,23374,23375,23382,23389,23396],{},[39,23376,23377,23378],{},"SiliconAngle — Devin 2.0 with lower starting price（2025-04-03）",[610,23379,23380],{"href":23380,"rel":23381},"https:\u002F\u002Fsiliconangle.com\u002F2025\u002F04\u002F03\u002Fcognition-ai-launches-revamped-coding-assistant-devin-2-0-much-lower-starting-price",[639],[39,23383,23384,23385],{},"CostBench — Devin AI Pricing 2026（2026-05-04）",[610,23386,23387],{"href":23387,"rel":23388},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-coding-assistants\u002Fdevin-ai\u002F",[639],[39,23390,23391,23392],{},"eesel — Cognition AI Pricing Explained ",[610,23393,23394],{"href":23394,"rel":23395},"https:\u002F\u002Fwww.eesel.ai\u002Fblog\u002Fcognition-ai-pricing",[639],[39,23397,23398,23399],{},"Vibe Coding — Devin Review 2026 \u002F Windsurf rebrand ",[610,23400,23401],{"href":23401,"rel":23402},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fdevin-review",[639],{"title":202,"searchDepth":250,"depth":250,"links":23404},[23405,23406,23407,23408,23409,23410,23411,23412,23413,23414],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":23008,"depth":224,"text":23009},{"id":22507,"depth":224,"text":22507},{"id":936,"depth":224,"text":936},{"id":22065,"depth":224,"text":22065},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fdevin.webp","Devin 真实评测：Cognition Labs 的自主编程 Agent。Core $20\u002F月 + $2.25\u002FACU（1 ACU ≈ 15 分钟），Team $500\u002F月含 250 ACUs。2026 收购 Windsurf 后产品线扩张到 Desktop Free\u002FPro\u002FMax。",[23418,23421,23424,23427],{"q":23419,"a":23420},"1 ACU 等于多少？","1 ACU ≈ Devin 主动工作 15 分钟。Core 单价 $2.25\u002FACU，Team 单价 $2\u002FACU。换算下来 Devin 主动小时成本约 $8–$9，确实接近 Upwork 入门级海外开发者，但能 7×24 工作。",{"q":23422,"a":23423},"Devin 和 Cursor \u002F Claude Code 区别？","Cursor \u002F Claude Code 是『陪你写』的 copilot，Devin 是『代你写』的 async agent——你给任务、它在云沙箱里独立完成、返回 PR。前者实时同步，后者异步交付。",{"q":23425,"a":23426},"2026 年 Devin \u002F Windsurf 关系？","Cognition 收购了 Windsurf 资产（前 Codeium），2026-06 后 Devin Desktop 取代 Windsurf IDE，新增 Free \u002F Pro $20\u002FMax $200 桌面端订阅，Cloud 版（Core\u002FTeam\u002FEnterprise）保留 ACU 计费。",{"q":23428,"a":23429},"Devin 能跑国内项目吗？","技术上可以——它在云沙箱跑 Linux 命令、git、浏览器。但默认走美国节点，访问国内 git\u002Fnpm 镜像慢，且不支持中文 prompt（会回英文）。国内团队建议看 OpenHands 自托管或 Manus。",[697],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin",[15423,677],[23435,23439,23442],{"plan":23436,"price":23437,"seats":13764,"notes":23438},"Core (PAYG)","$20\u002F月起","Pay-as-you-go，$2.25\u002FACU，最多 10 并发会话",{"plan":867,"price":6379,"seats":23440,"notes":23441},"≥1","含 250 ACUs（$2\u002FACU 实际单价）、无限并发、Slack 专属频道",{"plan":833,"price":716,"seats":5724,"notes":23443},"VPC 部署、SAML\u002FOIDC SSO、Custom Devins","Core $20·月 起按 ACU \u002F Team $500·月含 250 ACU \u002F Enterprise 定制",[23446],"review\u002Fai-pr-review-pipeline",[22317],{"power":264,"ux":257,"price":224,"cn_support":224,"stability":257},{"title":6255,"description":23416},"Devin AI 编程 Agent 评测 2026：Cognition 出品，自动驾驶代码生成",[23452,23454,23456,23458],{"name":23453,"url":23380,"accessed":732},"SiliconAngle — Devin 2.0 launch",{"name":23455,"url":23387,"accessed":732},"CostBench — Devin AI Pricing 2026",{"name":23457,"url":23394,"accessed":732},"eesel — Cognition AI Pricing",{"name":23459,"url":23401,"accessed":732},"Vibe Coding — Devin Review 2026 (Windsurf rebrand)","tools\u002Fcoding\u002Fagent\u002Fdevin","Cognition 出品的自主 AI 软件工程师，ACU 计费，2026 已并入 Windsurf 阵营",[700,5765,15423,23463,23464],"ACU","async","AI 自主编程的开山旗手，2026 价格从 $500 起跳降到 $20 起步。ACU 计费让成本可预算化，但单 ACU $2.25 仍是同类最贵，适合『把任务扔进去、明天看 PR』的异步开发模式。","https:\u002F\u002Fdevin.ai","xbVCP6XrnnUIS3YIHk9AIsY9s--XYuOZ8u12HA3LoV4",{"id":23469,"title":23470,"alternatives":23471,"api_compatible":16,"body":23473,"category":700,"chinese_friendly":224,"cover":24148,"description":24149,"domestic":680,"extension":681,"faq":24150,"free":680,"github":16,"languages":24163,"lastVerified":16,"meta":24164,"models":16,"navigation":253,"notSuitable":24165,"opensource":680,"path":24169,"pillar":22297,"platforms":24170,"priceTable":24171,"pricing":24182,"published":24183,"relatedPlaybooks":24184,"relatedReviews":16,"score":24186,"self_host":680,"seo":24187,"seoTitle":24188,"slug":24189,"sources":24190,"stem":24197,"suitable":24198,"tagline":24203,"tags":24204,"updated":24183,"verdict":24208,"website":24108,"__hash__":24209},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fjules.md","Jules",[5775,22963,1403,23472],"coding\u002Fcli\u002Fgemini-cli",{"type":18,"value":23474,"toc":24132},[23475,23477,23488,23490,23497,23517,23520,23540,23543,23591,23594,23598,23601,23717,23720,23861,23865,23966,23971,23982,23985,23989,23995,23998,24002,24008,24011,24015,24021,24024,24027,24044,24047,24049,24086,24090,24096,24099,24101,24124,24129],[21,23476,24],{"id":23},[5783,23478,23480,23485],{"className":23479},[5786,5787,5788],[26,23481,23482,23484],{},[42,23483,5793],{}," Jules 是 Google 的异步 Coding Agent：你把 GitHub repo + 任务描述交给它，它在 Google Cloud VM 里 clone 代码、制定计划、改文件、跑测试，最后给你 diff \u002F PR。",[26,23486,23487],{},"它不是 Cursor \u002F Claude Code 那种实时结对工具，而是「把不想做的工程任务派出去」的云端队友。",[21,23489,21844],{"id":21844},[26,23491,23492,23493,23496],{},"Jules 的定位很清晰：",[42,23494,23495],{},"async coding agent","。它连接 GitHub 仓库后，可以处理：",[36,23498,23499,23502,23505,23508,23511,23514],{},[39,23500,23501],{},"bug fix",[39,23503,23504],{},"写 \u002F 补测试",[39,23506,23507],{},"feature building",[39,23509,23510],{},"version bump \u002F dependency upgrade",[39,23512,23513],{},"生成 changelog \u002F audio changelog",[39,23515,23516],{},"GitHub issue 任务委派",[26,23518,23519],{},"典型流程：",[630,23521,23522,23525,23528,23531,23534,23537],{},[39,23523,23524],{},"选择 GitHub repo 和 branch。",[39,23526,23527],{},"写明确任务和验收标准。",[39,23529,23530],{},"Jules 在 Cloud VM 中 clone 仓库并给出计划。",[39,23532,23533],{},"你确认计划。",[39,23535,23536],{},"Jules 修改代码、跑测试、展示 diff。",[39,23538,23539],{},"你 review 后发布分支 \u002F 创建 PR。",[21,23541,23542],{"id":23542},"价格与额度",[366,23544,23545,23557],{},[369,23546,23547],{},[372,23548,23549,23551,23555],{},[375,23550,21887],{},[375,23552,23554],{"align":23553},"right","额度",[375,23556,506],{},[390,23558,23559,23569,23580],{},[372,23560,23561,23563,23566],{},[395,23562,23470],{},[395,23564,23565],{"align":23553},"15 tasks\u002Fday，3 并发",[395,23567,23568],{},"个人试用、轻量任务",[372,23570,23571,23574,23577],{},[395,23572,23573],{},"Jules in Pro",[395,23575,23576],{"align":23553},"100 tasks\u002Fday，15 并发",[395,23578,23579],{},"每天都要委派任务的开发者",[372,23581,23582,23585,23588],{},[395,23583,23584],{},"Jules in Ultra",[395,23586,23587],{"align":23553},"300 tasks\u002Fday，60 并发",[395,23589,23590],{},"大规模并行 Agent 工作流",[26,23592,23593],{},"免费档已经足够验证「补测试、修小 bug、依赖升级」这类任务的 ROI。",[21,23595,23597],{"id":23596},"jules-toolscli-入口","Jules Tools：CLI 入口",[26,23599,23600],{},"Jules 早期主要是 Web UI，后来 Google 推出 Jules Tools，让它可以在终端中被脚本化。",[197,23602,23604],{"className":199,"code":23603,"language":201,"meta":202,"style":202},"npm install -g @google\u002Fjules\njules login\n\n# 查看连接过的仓库\njules remote list --repo\n\n# 创建云端任务\njules remote new --repo . --session \"write unit tests for auth module\"\n\n# 查看任务\njules remote list --session\n\n# 拉取完成任务的结果\njules remote pull --session 123456\n",[204,23605,23606,23617,23625,23629,23634,23646,23650,23655,23675,23679,23684,23695,23699,23704],{"__ignoreMap":202},[207,23607,23608,23610,23612,23614],{"class":209,"line":210},[207,23609,1600],{"class":213},[207,23611,241],{"class":217},[207,23613,1605],{"class":227},[207,23615,23616],{"class":217}," @google\u002Fjules\n",[207,23618,23619,23622],{"class":209,"line":224},[207,23620,23621],{"class":213},"jules",[207,23623,23624],{"class":217}," login\n",[207,23626,23627],{"class":209,"line":250},[207,23628,254],{"emptyLinePlaceholder":253},[207,23630,23631],{"class":209,"line":257},[207,23632,23633],{"class":260},"# 查看连接过的仓库\n",[207,23635,23636,23638,23641,23643],{"class":209,"line":264},[207,23637,23621],{"class":213},[207,23639,23640],{"class":217}," remote",[207,23642,19298],{"class":217},[207,23644,23645],{"class":227}," --repo\n",[207,23647,23648],{"class":209,"line":276},[207,23649,254],{"emptyLinePlaceholder":253},[207,23651,23652],{"class":209,"line":281},[207,23653,23654],{"class":260},"# 创建云端任务\n",[207,23656,23657,23659,23661,23663,23666,23669,23672],{"class":209,"line":287},[207,23658,23621],{"class":213},[207,23660,23640],{"class":217},[207,23662,8889],{"class":217},[207,23664,23665],{"class":227}," --repo",[207,23667,23668],{"class":217}," .",[207,23670,23671],{"class":227}," --session",[207,23673,23674],{"class":217}," \"write unit tests for auth module\"\n",[207,23676,23677],{"class":209,"line":321},[207,23678,254],{"emptyLinePlaceholder":253},[207,23680,23681],{"class":209,"line":326},[207,23682,23683],{"class":260},"# 查看任务\n",[207,23685,23686,23688,23690,23692],{"class":209,"line":332},[207,23687,23621],{"class":213},[207,23689,23640],{"class":217},[207,23691,19298],{"class":217},[207,23693,23694],{"class":227}," --session\n",[207,23696,23697],{"class":209,"line":344},[207,23698,254],{"emptyLinePlaceholder":253},[207,23700,23701],{"class":209,"line":355},[207,23702,23703],{"class":260},"# 拉取完成任务的结果\n",[207,23705,23706,23708,23710,23712,23714],{"class":209,"line":1669},[207,23707,23621],{"class":213},[207,23709,23640],{"class":217},[207,23711,2988],{"class":217},[207,23713,23671],{"class":227},[207,23715,23716],{"class":227}," 123456\n",[26,23718,23719],{},"CLI 的意义不只是少打开一个网页，而是能接入现有开发流水线：",[197,23721,23723],{"className":199,"code":23722,"language":201,"meta":202,"style":202},"# 把 TODO.md 每一行都派给 Jules\ncat TODO.md | while IFS= read -r line; do\n  jules remote new --repo . --session \"$line\"\ndone\n\n# 把 GitHub issue 标题直接交给 Jules\ngh issue list --assignee @me --limit 1 --json title \\\n  | jq -r '.[0].title' \\\n  | jules remote new --repo .\n",[204,23724,23725,23730,23762,23786,23791,23795,23800,23830,23845],{"__ignoreMap":202},[207,23726,23727],{"class":209,"line":210},[207,23728,23729],{"class":260},"# 把 TODO.md 每一行都派给 Jules\n",[207,23731,23732,23735,23738,23740,23743,23746,23748,23751,23753,23756,23759],{"class":209,"line":224},[207,23733,23734],{"class":213},"cat",[207,23736,23737],{"class":217}," TODO.md",[207,23739,7521],{"class":306},[207,23741,23742],{"class":306}," while",[207,23744,23745],{"class":234}," IFS",[207,23747,1647],{"class":306},[207,23749,23750],{"class":227}," read",[207,23752,244],{"class":227},[207,23754,23755],{"class":217}," line",[207,23757,23758],{"class":234},"; ",[207,23760,23761],{"class":306},"do\n",[207,23763,23764,23767,23769,23771,23773,23775,23777,23780,23783],{"class":209,"line":250},[207,23765,23766],{"class":213},"  jules",[207,23768,23640],{"class":217},[207,23770,8889],{"class":217},[207,23772,23665],{"class":227},[207,23774,23668],{"class":217},[207,23776,23671],{"class":227},[207,23778,23779],{"class":217}," \"",[207,23781,23782],{"class":234},"$line",[207,23784,23785],{"class":217},"\"\n",[207,23787,23788],{"class":209,"line":257},[207,23789,23790],{"class":306},"done\n",[207,23792,23793],{"class":209,"line":264},[207,23794,254],{"emptyLinePlaceholder":253},[207,23796,23797],{"class":209,"line":276},[207,23798,23799],{"class":260},"# 把 GitHub issue 标题直接交给 Jules\n",[207,23801,23802,23805,23808,23810,23813,23816,23819,23822,23825,23828],{"class":209,"line":281},[207,23803,23804],{"class":213},"gh",[207,23806,23807],{"class":217}," issue",[207,23809,19298],{"class":217},[207,23811,23812],{"class":227}," --assignee",[207,23814,23815],{"class":217}," @me",[207,23817,23818],{"class":227}," --limit",[207,23820,23821],{"class":227}," 1",[207,23823,23824],{"class":227}," --json",[207,23826,23827],{"class":217}," title",[207,23829,341],{"class":227},[207,23831,23832,23835,23838,23840,23843],{"class":209,"line":287},[207,23833,23834],{"class":306},"  |",[207,23836,23837],{"class":213}," jq",[207,23839,244],{"class":227},[207,23841,23842],{"class":217}," '.[0].title'",[207,23844,341],{"class":227},[207,23846,23847,23849,23852,23854,23856,23858],{"class":209,"line":321},[207,23848,23834],{"class":306},[207,23850,23851],{"class":213}," jules",[207,23853,23640],{"class":217},[207,23855,8889],{"class":217},[207,23857,23665],{"class":227},[207,23859,23860],{"class":217}," .\n",[21,23862,23864],{"id":23863},"和-devin-openhands-的差异","和 Devin \u002F OpenHands 的差异",[366,23866,23867,23879],{},[369,23868,23869],{},[372,23870,23871,23873,23875,23877],{},[375,23872,377],{},[375,23874,23470],{},[375,23876,6255],{},[375,23878,23215],{},[390,23880,23881,23895,23905,23919,23931,23944,23954],{},[372,23882,23883,23886,23889,23892],{},[395,23884,23885],{},"运行位置",[395,23887,23888],{},"Google Cloud VM",[395,23890,23891],{},"Devin Cloud",[395,23893,23894],{},"本地 Docker \u002F Cloud",[372,23896,23897,23899,23901,23903],{},[395,23898,414],{},[395,23900,426],{},[395,23902,426],{},[395,23904,423],{},[372,23906,23907,23910,23913,23916],{},[395,23908,23909],{},"免费入口",[395,23911,23912],{},"✅ 15 tasks\u002Fday",[395,23914,23915],{},"通常需付费",[395,23917,23918],{},"✅ OSS \u002F Cloud 免费档",[372,23920,23921,23924,23926,23928],{},[395,23922,23923],{},"GitHub PR",[395,23925,1100],{},[395,23927,1100],{},[395,23929,23930],{},"可配置",[372,23932,23933,23936,23938,23941],{},[395,23934,23935],{},"CLI \u002F API",[395,23937,1100],{},[395,23939,23940],{},"有 API",[395,23942,23943],{},"✅ CLI\u002FSDK",[372,23945,23946,23948,23950,23952],{},[395,23947,22774],{},[395,23949,443],{},[395,23951,443],{},[395,23953,10706],{},[372,23955,23956,23959,23961,23963],{},[395,23957,23958],{},"隐私可控",[395,23960,2458],{},[395,23962,2458],{},[395,23964,23965],{},"强（自托管）",[26,23967,23968],{},[42,23969,23970],{},"AIHO 建议：",[36,23972,23973,23976,23979],{},[39,23974,23975],{},"想最低门槛试 async agent：Jules",[39,23977,23978],{},"企业买成熟云端体验：Devin",[39,23980,23981],{},"代码不能出境 \u002F 要自托管：OpenHands",[21,23983,23984],{"id":23984},"最适合的任务",[5062,23986,23988],{"id":23987},"_1-补测试","1. 补测试",[197,23990,23993],{"className":23991,"code":23992,"language":6177,"meta":202},[6175],"为 src\u002Fbilling 里的 invoice parser 补单元测试，覆盖金额为 0、负数、缺失 tax 字段和 malformed JSON。跑通现有 test suite。\n",[204,23994,23992],{"__ignoreMap":202},[26,23996,23997],{},"边界清楚、可验证，最适合 Jules。",[5062,23999,24001],{"id":24000},"_2-依赖升级","2. 依赖升级",[197,24003,24006],{"className":24004,"code":24005,"language":6177,"meta":202},[6175],"把 Next.js 从 14 升级到 15，修复 breaking changes，跑 build 和现有 e2e，最后给出变更摘要。\n",[204,24007,24005],{"__ignoreMap":202},[26,24009,24010],{},"Jules 的 Cloud VM 能自己装包、跑测试、返回 diff。",[5062,24012,24014],{"id":24013},"_3-低风险-bug-fix","3. 低风险 bug fix",[197,24016,24019],{"className":24017,"code":24018,"language":6177,"meta":202},[6175],"修复设置页保存后 toast 重复出现的问题。验收：保存一次只出现一个 toast，补回归测试。\n",[204,24020,24018],{"__ignoreMap":202},[26,24022,24023],{},"有明确复现和验收标准，成功率更高。",[21,24025,24026],{"id":24026},"不适合的任务",[36,24028,24029,24032,24035,24038,24041],{},[39,24030,24031],{},"架构方向还没定的大重构",[39,24033,24034],{},"没有测试、没有验收标准的「帮我优化一下」",[39,24036,24037],{},"需要访问内网服务 \u002F 私有数据库的任务",[39,24039,24040],{},"紧急线上事故",[39,24042,24043],{},"高度中文上下文项目",[26,24045,24046],{},"Jules 是「异步执行者」，不是「替你想清楚产品需求的人」。",[21,24048,6457],{"id":6457},[630,24050,24051,24057,24063,24069,24075,24080],{},[39,24052,24053,24056],{},[42,24054,24055],{},"任务要小","：一个 session 只做一个目标，不要把 5 个需求塞一起。",[39,24058,24059,24062],{},[42,24060,24061],{},"验收标准写清","：告诉它必须跑哪些测试、改完看哪些页面。",[39,24064,24065,24068],{},[42,24066,24067],{},"先让它给 plan","：计划不对就别批准执行。",[39,24070,24071,24074],{},[42,24072,24073],{},"敏感 repo 谨慎连接","：Jules 会把代码 clone 到 Cloud VM。",[39,24076,24077,24079],{},[42,24078,22195],{},"：Agent 可能修掉表面 bug、引入隐蔽边界问题。",[39,24081,24082,24085],{},[42,24083,24084],{},"不要无限并发","：并发越高 review 压力越大，先从 2-3 个低风险任务开始。",[21,24087,24089],{"id":24088},"aiho-工作流建议","AIHO 工作流建议",[197,24091,24094],{"className":24092,"code":24093,"language":6177,"meta":202},[6175],"issue backlog → Gemini CLI 低成本分拣 → Jules 处理低风险任务 → Copilot\u002FCodeRabbit\u002F人工 review → merge\n",[204,24095,24093],{"__ignoreMap":202},[26,24097,24098],{},"Jules 的价值不在「一次写出完美代码」，而在把低风险工程杂活从你的连续工作流里剥离出去。",[21,24100,628],{"id":628},[36,24102,24103,24110,24117],{},[39,24104,24105,24106],{},"Jules 官网：",[610,24107,24108],{"href":24108,"rel":24109},"https:\u002F\u002Fjules.google\u002F",[639],[39,24111,24112,24113],{},"Jules Tools CLI Reference：",[610,24114,24115],{"href":24115,"rel":24116},"https:\u002F\u002Fjules.google\u002Fdocs\u002Fcli\u002Freference",[639],[39,24118,24119,24120],{},"Google Developers Blog — Meet Jules Tools：",[610,24121,24122],{"href":24122,"rel":24123},"https:\u002F\u002Fdevelopers.googleblog.com\u002Fen\u002Fmeet-jules-tools-a-command-line-companion-for-googles-async-coding-agent\u002F",[639],[130,24125,24126],{},[26,24127,24128],{},"本卡片由 AIHO 编辑部根据公开资料整理，非厂商付费内容；额度和功能以官网为准。",[662,24130,24131],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}",{"title":202,"searchDepth":250,"depth":250,"links":24133},[24134,24135,24136,24137,24138,24139,24144,24145,24146,24147],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":23542,"depth":224,"text":23542},{"id":23596,"depth":224,"text":23597},{"id":23863,"depth":224,"text":23864},{"id":23984,"depth":224,"text":23984,"children":24140},[24141,24142,24143],{"id":23987,"depth":250,"text":23988},{"id":24000,"depth":250,"text":24001},{"id":24013,"depth":250,"text":24014},{"id":24026,"depth":224,"text":24026},{"id":6457,"depth":224,"text":6457},{"id":24088,"depth":224,"text":24089},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fjules.webp","Jules 真实评测：Google Labs 出品的异步 Coding Agent，连接 GitHub 仓库后在 Cloud VM 中计划、修改、运行测试并生成 PR；支持 Web、CLI（@google\u002Fjules）、REST API、GitHub issue 标签触发。免费档 15 tasks\u002Fday、3 并发，Pro\u002FUltra 提供更高任务和并发额度。",[24151,24154,24157,24160],{"q":24152,"a":24153},"Jules 和 Gemini CLI 有什么区别？","Gemini CLI 是本地终端 Agent，读写当前目录；Jules 是异步云端 Agent，会把 GitHub 仓库 clone 到 Cloud VM，执行任务后返回 diff\u002FPR。前者适合你边写边问，后者适合把任务丢出去等结果。",{"q":24155,"a":24156},"Jules 和 Devin 怎么选？","两者都是 async coding agent。Devin 更早、产品链路更企业化；Jules 绑定 Google\u002FGemini 生态，免费档更容易试，CLI\u002FAPI 和 GitHub 标签触发更适合做脚本化委派。",{"q":24158,"a":24159},"Jules Tools 是什么？","`@google\u002Fjules` 命令行工具。它可以 `jules remote new` 创建云端任务、`jules remote list` 查看任务、`jules remote pull` 拉取结果，也可以打开 TUI 看 diff。",{"q":24161,"a":24162},"代码会不会在本地跑？","Jules 的核心执行在 Google Cloud VM。它会 clone 仓库、安装依赖、运行测试、生成 diff；这也是隐私\u002F合规敏感项目要谨慎的原因。",[697],{},[24166,24167,24168],"不能把代码 clone 到 Google Cloud VM 的项目","需要中文深度交互和国内网络友好的团队","紧急 hotfix \u002F 强实时结对编程","\u002Ftools\u002Fcoding\u002Fagent\u002Fjules",[15423,22301],[24172,24175,24179],{"plan":23470,"price":707,"limit":24173,"note":24174},"15 tasks\u002Fday，3 concurrent tasks","入门免费档，Gemini 2.5 Pro",{"plan":23573,"price":24176,"limit":24177,"note":24178},"随 Google AI Pro","100 tasks\u002Fday，15 concurrent tasks","更高模型访问，起步 Gemini 3 Pro",{"plan":23584,"price":24180,"limit":24181,"note":23590},"随 Google AI Ultra","300 tasks\u002Fday，60 concurrent tasks","免费 15 tasks\u002Fday \u002F Pro 100 tasks\u002Fday \u002F Ultra 300 tasks\u002Fday","2026-06-25",[24185,23446],"onboarding\u002Fasync-coding-agent-workflow",{"power":257,"ux":257,"price":257,"cn_support":224,"stability":257},{"title":23470,"description":24149},"Jules AI 编程 Agent 评测 2026：Google 出品，自动化代码开发","coding\u002Fagent\u002Fjules",[24191,24193,24195],{"title":24192,"url":24108},"Jules 官网",{"title":24194,"url":24115},"Jules Tools CLI Reference",{"title":24196,"url":24122},"Google Developers Blog — Meet Jules Tools","tools\u002Fcoding\u002Fagent\u002Fjules",[24199,24200,24201,24202],"GitHub issue 边界清晰的 bug fix \u002F test \u002F version bump","想异步委派任务、稍后 review PR 的团队","需要多个云端 Agent 并发处理低风险任务","已经在 Google AI Pro \u002F Ultra 生态里的开发者","Google 异步 Coding Agent，在 Cloud VM 中完成任务并返回 PR",[700,5765,23464,18983,24205,24206,24207,22301],"gemini","cloud-vm","github","Google 版 Devin：把 issue 丢给云端 Agent，等它在 VM 里跑完测试、给你 diff \u002F PR。适合依赖升级、补测试、低风险 bug fix；不适合中文项目、强隐私代码和需要实时结对的任务。","iwuaLMz2vIxHob20KJzcZEFdYoSjeCPxHzGqK-q9tBc",{"id":24211,"title":23215,"alternatives":24212,"api_compatible":16,"body":24213,"category":700,"chinese_friendly":257,"cover":24644,"description":24645,"domestic":680,"extension":681,"faq":24646,"free":680,"github":24659,"languages":24660,"lastVerified":16,"meta":24661,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":23358,"pillar":22297,"platforms":24662,"priceTable":24663,"pricing":24670,"published":720,"relatedPlaybooks":24671,"relatedReviews":16,"score":24673,"self_host":253,"seo":24674,"seoTitle":24675,"slug":22963,"sources":24676,"stem":24685,"suitable":16,"tagline":24686,"tags":24687,"updated":732,"verdict":24689,"website":24690,"__hash__":24691},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands.md",[5775,1404,22343,15],{"type":18,"value":24214,"toc":24632},[24215,24217,24224,24227,24229,24232,24255,24258,24284,24286,24332,24335,24339,24343,24364,24368,24388,24390,24419,24421,24516,24518,24558,24560,24577,24579,24600,24602],[21,24216,24],{"id":23},[26,24218,24219,24220,24223],{},"OpenHands（前 OpenDevin）是 MIT 开源的自主编程 Agent 平台，由 All Hands AI 主导，GitHub 40k+ stars。它的目标和 Devin 一致——给 AI 一个完整的开发者工具集（编辑器、shell、浏览器、API），让它能像人一样完成端到端开发任务。差异在于：",[42,24221,24222],{},"OpenHands 完全开源 + 多入口 + BYOK","，可以本地 docker 起一个、可以走免费 Cloud、可以企业自托管。",[26,24225,24226],{},"适合：合规 \u002F 隐私敏感场景、想用 Claude \u002F GPT \u002F 本地 Ollama 的人、嫌 Devin 贵且不能落地的人。不适合：想要开箱即用 SaaS 体验、不想碰 Docker \u002F yaml 的非技术用户。",[21,24228,21844],{"id":21844},[26,24230,24231],{},"OpenHands 的核心是「Agent + 工具集」，工具集包括：",[36,24233,24234,24237,24240,24243,24246,24249],{},[39,24235,24236],{},"文件编辑（多文件 diff\u002Fedit）",[39,24238,24239],{},"shell command 执行（Docker sandbox 隔离）",[39,24241,24242],{},"浏览器自动化（点击、表单、截图）",[39,24244,24245],{},"API 调用 \u002F HTTP 请求",[39,24247,24248],{},"Git 仓库操作（clone、commit、PR）",[39,24250,24251,24254],{},[42,24252,24253],{},"MCP 协议","：可挂载任意第三方 tool",[26,24256,24257],{},"四种使用入口：",[630,24259,24260,24267,24273,24278],{},[39,24261,24262,5072,24264,24266],{},[42,24263,22922],{},[204,24265,18229],{}," 一行起，本地 Web GUI + CLI",[39,24268,24269,24272],{},[42,24270,24271],{},"Individual Cloud","：openhands.dev 注册免费用，每天 10 会话",[39,24274,24275,24277],{},[42,24276,833],{},"：私有云 + 多用户 + RBAC + 集中 billing",[39,24279,24280,24283],{},[42,24281,24282],{},"Cloud Agent SDK","：把 OpenHands 当 lib 嵌入自家产品",[21,24285,21878],{"id":21877},[366,24287,24288,24299],{},[369,24289,24290],{},[372,24291,24292,24294,24296],{},[375,24293,21887],{},[375,24295,108],{},[375,24297,24298],{},"限制",[390,24300,24301,24312,24323],{},[372,24302,24303,24307,24309],{},[395,24304,24305],{},[42,24306,22922],{},[395,24308,707],{},[395,24310,24311],{},"BYOK，单用户，自己付 LLM 费",[372,24313,24314,24318,24320],{},[395,24315,24316],{},[42,24317,24271],{},[395,24319,707],{},[395,24321,24322],{},"每天 10 会话，BYOK 或 OpenHands at-cost LLM",[372,24324,24325,24327,24329],{},[395,24326,833],{},[395,24328,716],{},[395,24330,24331],{},"多用户、SAML\u002FSSO、专属支持、Slack 频道",[26,24333,24334],{},"至今没有「Cloud Pro $X\u002F月」中间档——要么免费 BYOK，要么直接谈 Enterprise。BYOK 路线下，实际 LLM 成本主导：跑一个中等任务（5–10 步）约 $0.5–$2 Claude Sonnet token。",[21,24336,24338],{"id":24337},"实测本地-docker-一周高强度试用","实测（本地 docker 一周高强度试用）",[26,24340,24341,5072],{},[42,24342,22512],{},[36,24344,24345,24352,24355,24358,24361],{},[39,24346,24347,24348,24351],{},"起步快：",[204,24349,24350],{},"docker run -p 3000:3000 allhandsai\u002Fopenhands"," 三分钟到 Web UI",[39,24353,24354],{},"中文支持比 Devin 好——社区贡献了不少中文 prompt 案例",[39,24356,24357],{},"浏览器 use 能力扎实——能去 stackoverflow 搜错误后修代码",[39,24359,24360],{},"任务可视化：sandbox 里跑的每条命令、改的每个文件都有回放",[39,24362,24363],{},"BYOK 灵活：白天 Claude Sonnet 4，晚上 DeepSeek R1，省钱",[26,24365,24366,5072],{},[42,24367,22019],{},[36,24369,24370,24376,24379,24382,24385],{},[39,24371,24372,24375],{},[42,24373,24374],{},"自主性偶尔失控","：会陷入「装包失败 → 改 requirements → 再装 → 再失败」死循环，需要人工打断",[39,24377,24378],{},"长任务（>30 分钟）context window 会爆，需要把任务拆小",[39,24380,24381],{},"Windows 用户必走 WSL2 + Docker Desktop，原生 docker 不稳",[39,24383,24384],{},"GUI 体验不如 Cursor \u002F Devin 精致——是工程师工具，不是 PM 工具",[39,24386,24387],{},"沙箱占资源——idle 时也吃 1–2GB 内存",[21,24389,936],{"id":936},[630,24391,24392,24395,24400,24406,24409,24412],{},[39,24393,24394],{},"装 Docker（含 docker-in-docker 支持）",[39,24396,24397],{},[204,24398,24399],{},"docker pull docker.all-hands.dev\u002Fall-hands-ai\u002Fopenhands:latest",[39,24401,24402,24403],{},"一行启动（官方推荐命令在 docs），打开 ",[204,24404,24405],{},"localhost:3000",[39,24407,24408],{},"选 LLM provider（Anthropic \u002F OpenAI \u002F Ollama \u002F 任意 OpenAI 兼容 endpoint）+ 填 API key",[39,24410,24411],{},"描述任务（中文 OK），Agent 在 sandbox 里跑给你看",[39,24413,24414,24415,24418],{},"进阶：编辑 ",[204,24416,24417],{},"config.toml"," 加 MCP server，或 fork 仓库改 microagent prompt",[21,24420,22065],{"id":22065},[366,24422,24423,24437],{},[369,24424,24425],{},[372,24426,24427,24429,24431,24433,24435],{},[375,24428,377],{},[375,24430,23215],{},[375,24432,6255],{},[375,24434,1793],{},[375,24436,5518],{},[390,24438,24439,24451,24463,24475,24489,24502],{},[372,24440,24441,24443,24445,24447,24449],{},[395,24442,414],{},[395,24444,423],{},[395,24446,426],{},[395,24448,1100],{},[395,24450,426],{},[372,24452,24453,24455,24457,24459,24461],{},[395,24454,7433],{},[395,24456,1100],{},[395,24458,426],{},[395,24460,1100],{},[395,24462,426],{},[372,24464,24465,24467,24469,24471,24473],{},[395,24466,23243],{},[395,24468,707],{},[395,24470,23246],{},[395,24472,707],{},[395,24474,23251],{},[372,24476,24477,24479,24481,24484,24486],{},[395,24478,6357],{},[395,24480,22777],{},[395,24482,24483],{},"1\u002F5",[395,24485,22158],{},[395,24487,24488],{},"5\u002F5",[372,24490,24491,24494,24496,24498,24500],{},[395,24492,24493],{},"Browser use",[395,24495,1100],{},[395,24497,1100],{},[395,24499,426],{},[395,24501,1100],{},[372,24503,24504,24507,24510,24512,24514],{},[395,24505,24506],{},"上手成本",[395,24508,24509],{},"中（需 Docker）",[395,24511,10650],{},[395,24513,10650],{},[395,24515,10650],{},[21,24517,521],{"id":521},[36,24519,24520,24526,24532,24546,24552],{},[39,24521,24522,24525],{},[42,24523,24524],{},"沙箱必启用","：直接给 OpenHands 你的家目录权限 = 自杀，永远走 docker-in-docker 隔离",[39,24527,24528,24531],{},[42,24529,24530],{},"API key 限额要设","：BYOK 没有月度上限，Agent 一旦循环可能一夜烧掉 $100+，在 Anthropic \u002F OpenAI 控制台配 budget alert",[39,24533,24534,24537,24538,24541,24542,24545],{},[42,24535,24536],{},"大仓库先 wiki","：让 OpenHands 跑一遍 ",[204,24539,24540],{},"summarize the repo","，把结果存到 ",[204,24543,24544],{},"microagents\u002F","，后续任务上下文更准",[39,24547,24548,24551],{},[42,24549,24550],{},"MCP 来源审计","：开 MCP server 等于给 Agent 一把外部钥匙，第三方 server 先审代码",[39,24553,24554,24557],{},[42,24555,24556],{},"不要给 production repo 直接权限","：先 fork \u002F 分支隔离，让 Agent 提 PR 而不是直接 push",[21,24559,575],{"id":574},[36,24561,24562,24565,24568,24571,24574],{},[39,24563,24564],{},"✅ 中文 \u002F 国内场景（速度 + 隐私 + 成本三优）",[39,24566,24567],{},"✅ 合规 \u002F 私有云部署",[39,24569,24570],{},"✅ 想做企业内部 AI 开发平台的底座",[39,24572,24573],{},"❌ 不会 Docker \u002F 不愿读 yaml 的 PM \u002F 设计师",[39,24575,24576],{},"❌ 要 Devin 那种端到端体验（PR \u002F Slack \u002F Wiki 全自动）",[21,24578,604],{"id":604},[36,24580,24581,24587,24591,24595],{},[39,24582,24583,24586],{},[610,24584,24585],{"href":23432},"Devin 评测","（闭源同类）",[39,24588,24589],{},[610,24590,2054],{"href":2053},[39,24592,24593],{},[610,24594,22242],{"href":22241},[39,24596,24597,24599],{},[610,24598,625],{"href":6682},"（国产 Cloud 替代）",[21,24601,628],{"id":628},[630,24603,24604,24611,24618,24625],{},[39,24605,24606,24607],{},"OpenHands 官方 Pricing ",[610,24608,24609],{"href":24609,"rel":24610},"https:\u002F\u002Fwww.openhands.dev\u002Fpricing",[639],[39,24612,24613,24614],{},"AISO Tools — OpenHands Pricing 2026（2026-06-21）",[610,24615,24616],{"href":24616,"rel":24617},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fopenhands",[639],[39,24619,24620,24621],{},"AI Tool Finder — OpenHands Review 2026（2026-05-14）",[610,24622,24623],{"href":24623,"rel":24624},"https:\u002F\u002Faitoolfinder.org\u002Ftools\u002Fopenhands",[639],[39,24626,24627,24628],{},"OSS-AI-SWE 项目目录 ",[610,24629,24630],{"href":24630,"rel":24631},"https:\u002F\u002Foss-ai-swe.org\u002Fopen-hands",[639],{"title":202,"searchDepth":250,"depth":250,"links":24633},[24634,24635,24636,24637,24638,24639,24640,24641,24642,24643],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":21877,"depth":224,"text":21878},{"id":24337,"depth":224,"text":24338},{"id":936,"depth":224,"text":936},{"id":22065,"depth":224,"text":22065},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopenhands.webp","OpenHands 真实评测：MIT 开源自主编程 Agent，前身 OpenDevin。可云端、本地 GUI、CLI、SDK 多种方式跑，BYOK 任意 LLM。Individual 免费、Enterprise 自托管多用户。40k+ GitHub stars。",[24647,24650,24653,24656],{"q":24648,"a":24649},"OpenHands 和 OpenDevin 什么关系？","同一个项目。2024 年底从 OpenDevin 改名 OpenHands，由 All Hands AI 主导维护，社区贡献者来自学术界和工业界。",{"q":24651,"a":24652},"和 Devin 比能力差多少？","核心能力覆盖：plan、code、run command、browser use、MCP tool use 都有。差距主要在『一体化体验』——Devin 自带 Wiki\u002FSlack\u002FIDE，OpenHands 需要自己拼 Docker + GUI\u002FCLI；任务成功率两者接近，特定 benchmark（SWE-Bench）OpenHands 还领先过。",{"q":24654,"a":24655},"本地跑要什么配置？","Docker 必备（Linux\u002FmacOS\u002FWSL2），16GB 内存以上推荐，API key 可走 Anthropic Claude \u002F OpenAI GPT \u002F 本地 Ollama。沙箱用 docker-in-docker，CPU 占用偶发尖峰。",{"q":24657,"a":24658},"Individual Cloud 真的免费？","免费，但限制每天 10 会话；BYOK 自付模型 token，或用『OpenHands LLM provider』按 at-cost 转售价 PAYG（无加价）。","https:\u002F\u002Fgithub.com\u002FAll-Hands-AI\u002FOpenHands",[696,697],{},[2861,15423,22301],[24664,24666,24668],{"plan":22922,"price":707,"seats":13764,"notes":24665},"MIT，Docker 起，BYOK，单用户",{"plan":24271,"price":707,"seats":13764,"notes":24667},"每日 10 会话上限，BYOK 或用 OpenHands LLM at-cost",{"plan":833,"price":716,"seats":21962,"notes":24669},"自托管多用户、RBAC、SAML\u002FSSO、SLA、专属支持","OSS MIT 免费 \u002F Individual Cloud 免费 BYOK \u002F Enterprise 定制",[24672],"onboarding\u002Flegacy-codebase-onboarding",{"power":257,"ux":250,"price":264,"cn_support":257,"stability":250},{"title":23215,"description":24645},"OpenHands 评测 2026：开源 AI 编程 Agent，Devin 替代方案",[24677,24679,24681,24683],{"name":24678,"url":24609,"accessed":732},"OpenHands 官方 pricing",{"name":24680,"url":24616,"accessed":732},"AISO Tools — OpenHands Pricing 2026",{"name":24682,"url":24623,"accessed":732},"AI Tool Finder — OpenHands Review 2026",{"name":24684,"url":24630,"accessed":732},"OSS-AI-SWE — OpenHands intro","tools\u002Fcoding\u002Fagent\u002Fopenhands","开源自主编程 Agent（前 OpenDevin），MIT 许可，多入口（Cloud\u002FCLI\u002FLocal\u002FSDK）",[700,5765,745,3371,24688,1392,22956],"sandbox","想要 Devin 能力又不想为 ACU 付费 + 担心代码出境的人选 OpenHands。MIT 开源 + Docker 自托管 + BYOK 任意 LLM，是企业级自主 Agent 的开源旗手。","https:\u002F\u002Fwww.openhands.dev","HWmST8XuS7wsJaOCSuw1Lp-eRQTPUO6mq8tnCqNnmJQ",{"id":24693,"title":24694,"alternatives":24695,"api_compatible":16,"body":24699,"category":700,"chinese_friendly":210,"cover":25310,"description":25311,"domestic":680,"extension":681,"faq":25312,"free":680,"github":16,"languages":25325,"lastVerified":16,"meta":25326,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":25327,"pillar":22297,"platforms":25328,"priceTable":25329,"pricing":25339,"published":720,"relatedPlaybooks":25340,"relatedReviews":16,"score":25342,"self_host":253,"seo":25343,"seoTitle":25344,"slug":25345,"sources":25346,"stem":25355,"suitable":16,"tagline":25356,"tags":25357,"updated":732,"verdict":25363,"website":25364,"__hash__":25365},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fraga.md","RagaAI Catalyst",[24696,24697,24698,7922],"coding\u002Fapi\u002Fhelicone","coding\u002Fapi\u002Fportkey","coding\u002Fapi\u002Flitellm",{"type":18,"value":24700,"toc":25298},[24701,24703,24706,24709,24711,24767,24769,24787,24792,24796,24800,24820,24824,24847,24849,24863,24998,25000,25156,25158,25208,25210,25236,25238,25263,25265,25295],[21,24702,24],{"id":23},[26,24704,24705],{},"RagaAI Catalyst 是印度 RagaAI 出品的 AI agent \u002F RAG \u002F LLM 应用『测试 + 观测』专项平台——Python SDK + 云端，300+ 自动化测试库覆盖 hallucination \u002F bias \u002F RAG faithfulness \u002F agentic 协作，多 agent 系统 tracing + debug，主打『部署前发现生产风险减少 90%』。Catalyst SDK 开源（github.com\u002Fraga-ai-hub\u002FRagaAI-Catalyst），Cloud \u002F Enterprise 走销售定价。",[26,24707,24708],{},"适合：构建生产级 agentic 系统的中大型团队（金融 \u002F 医疗 \u002F 政企）需要 pre-prod 风险量化；RAG pipeline 需要 retrieval \u002F faithfulness 多维评测；多 agent 协作系统需要 trace + debug 工具链。不适合：单一 LLM 调用 + 简单观测（Helicone \u002F Langfuse 更轻）；预算紧的小团队（社区版 SDK 够但 Cloud 走企业销售）；中文 \u002F 国内合规为主（生态弱）。",[21,24710,34],{"id":34},[36,24712,24713,24719,24725,24731,24737,24743,24749,24755,24761],{},[39,24714,24715,24718],{},[42,24716,24717],{},"300+ 自动化测试","：LLM（hallucination \u002F toxicity \u002F PII \u002F prompt injection）+ RAG（precision \u002F faithfulness \u002F relevance）+ Agentic（tool 正确性 \u002F 协作一致性 \u002F 任务完成率）",[39,24720,24721,24724],{},[42,24722,24723],{},"多 agent tracing","：每次 LLM \u002F tool \u002F sub-agent 调用都可追溯 + 时序回放",[39,24726,24727,24730],{},[42,24728,24729],{},"多 agent debug","：复杂 agent 失败时回放每个决策点 + 上下文",[39,24732,24733,24736],{},[42,24734,24735],{},"Python SDK","：包装 LangChain \u002F LlamaIndex \u002F 自家框架自动埋点",[39,24738,24739,24742],{},[42,24740,24741],{},"风险量化","：每个测试出风险分 + 影响面 + 修复建议",[39,24744,24745,24748],{},[42,24746,24747],{},"数据集管理","：build eval dataset + 跑 regression",[39,24750,24751,24754],{},[42,24752,24753],{},"报告 \u002F 仪表盘","：团队级风险仪表盘 + 趋势 + CI\u002FCD 集成",[39,24756,24757,24760],{},[42,24758,24759],{},"自托管 SDK + Cloud 协同","：SDK 本地跑、Cloud 集中可视化",[39,24762,24763,24766],{},[42,24764,24765],{},"合规友好","：私有部署 + SSO + 审计（Enterprise）",[21,24768,108],{"id":108},[36,24770,24771,24777,24782],{},[39,24772,24773,24776],{},[42,24774,24775],{},"Catalyst OSS Python SDK","：$0；功能含 tracing + 部分 eval",[39,24778,24779,24781],{},[42,24780,10032],{},"：Custom（联系销售）；含全 300+ 测试库 + 仪表盘 + 协作",[39,24783,24784,24786],{},[42,24785,833],{},"：Custom + SSO + 私有部署 + SLA",[130,24788,24789],{},[26,24790,24791],{},"真实场景：先用 OSS SDK 跑 trace 评估价值，进 PoC 后再谈 Cloud 价格。",[21,24793,24795],{"id":24794},"实测中型-rag-agentic-产品-印度欧美客户","实测（中型 RAG \u002F agentic 产品 \u002F 印度欧美客户）",[26,24797,24798],{},[42,24799,143],{},[36,24801,24802,24805,24808,24811,24814,24817],{},[39,24803,24804],{},"300+ 测试库省去 reinvent 各种 eval metric 的工作",[39,24806,24807],{},"RAG faithfulness \u002F context precision 测试对反 hallucination 很有用",[39,24809,24810],{},"多 agent trace + 回放在调试复杂协作链时是救命工具",[39,24812,24813],{},"风险评分给业务方一个 quantitative 沟通口径",[39,24815,24816],{},"Catalyst SDK 开源，预算紧团队也能先用上",[39,24818,24819],{},"与 LangChain \u002F LlamaIndex 集成顺滑",[26,24821,24822],{},[42,24823,168],{},[36,24825,24826,24829,24832,24835,24838,24841,24844],{},[39,24827,24828],{},"文档对高级配置 + 自定义测试覆盖不足，社区反馈一致",[39,24830,24831],{},"Cloud 定价不透明，PoC 才能拿到报价",[39,24833,24834],{},"报告 \u002F UI 偏英文 + 印度产品风格，中文场景弱",[39,24836,24837],{},"多 agent trace 在超大调用图（>500 step）下渲染慢",[39,24839,24840],{},"测试结果质量依赖 dataset 质量，garbage in \u002F garbage out",[39,24842,24843],{},"比 Langfuse 更偏『测试』少偏『日常 observability』，两个工具有时要叠用",[39,24845,24846],{},"国内访问 Cloud 延迟 + 合规需要评估",[21,24848,936],{"id":936},[197,24850,24852],{"className":199,"code":24851,"language":201,"meta":202,"style":202},"pip install ragaai-catalyst\n",[204,24853,24854],{"__ignoreMap":202},[207,24855,24856,24858,24860],{"class":209,"line":210},[207,24857,238],{"class":213},[207,24859,241],{"class":217},[207,24861,24862],{"class":217}," ragaai-catalyst\n",[197,24864,24866],{"className":17410,"code":24865,"language":335,"meta":202,"style":202},"from ragaai_catalyst import RagaAICatalyst, Tracer\n\ncatalyst = RagaAICatalyst(\n    access_key=\"...\",\n    secret_key=\"...\",\n    base_url=\"https:\u002F\u002Fcatalyst.raga.ai\"\n)\n\ntracer = Tracer(project_name=\"my-rag-app\", tracer_type=\"langchain\")\ntracer.start()\n\n# 你的 LangChain \u002F LlamaIndex \u002F 自家 agent 代码\n# tracer 自动捕获 LLM \u002F tool \u002F sub-agent 调用\n\ntracer.stop()\n# 登录 Catalyst Cloud 看 trace + 跑 300+ 测试\n",[204,24867,24868,24880,24884,24894,24906,24917,24927,24931,24935,24965,24970,24974,24979,24984,24988,24993],{"__ignoreMap":202},[207,24869,24870,24872,24875,24877],{"class":209,"line":210},[207,24871,8868],{"class":306},[207,24873,24874],{"class":234}," ragaai_catalyst ",[207,24876,8862],{"class":306},[207,24878,24879],{"class":234}," RagaAICatalyst, Tracer\n",[207,24881,24882],{"class":209,"line":224},[207,24883,254],{"emptyLinePlaceholder":253},[207,24885,24886,24889,24891],{"class":209,"line":250},[207,24887,24888],{"class":234},"catalyst ",[207,24890,1647],{"class":306},[207,24892,24893],{"class":234}," RagaAICatalyst(\n",[207,24895,24896,24899,24901,24904],{"class":209,"line":257},[207,24897,24898],{"class":17466},"    access_key",[207,24900,1647],{"class":306},[207,24902,24903],{"class":217},"\"...\"",[207,24905,995],{"class":234},[207,24907,24908,24911,24913,24915],{"class":209,"line":264},[207,24909,24910],{"class":17466},"    secret_key",[207,24912,1647],{"class":306},[207,24914,24903],{"class":217},[207,24916,995],{"class":234},[207,24918,24919,24922,24924],{"class":209,"line":276},[207,24920,24921],{"class":17466},"    base_url",[207,24923,1647],{"class":306},[207,24925,24926],{"class":217},"\"https:\u002F\u002Fcatalyst.raga.ai\"\n",[207,24928,24929],{"class":209,"line":281},[207,24930,8976],{"class":234},[207,24932,24933],{"class":209,"line":287},[207,24934,254],{"emptyLinePlaceholder":253},[207,24936,24937,24940,24942,24945,24948,24950,24953,24955,24958,24960,24963],{"class":209,"line":321},[207,24938,24939],{"class":234},"tracer ",[207,24941,1647],{"class":306},[207,24943,24944],{"class":234}," Tracer(",[207,24946,24947],{"class":17466},"project_name",[207,24949,1647],{"class":306},[207,24951,24952],{"class":217},"\"my-rag-app\"",[207,24954,1009],{"class":234},[207,24956,24957],{"class":17466},"tracer_type",[207,24959,1647],{"class":306},[207,24961,24962],{"class":217},"\"langchain\"",[207,24964,8976],{"class":234},[207,24966,24967],{"class":209,"line":326},[207,24968,24969],{"class":234},"tracer.start()\n",[207,24971,24972],{"class":209,"line":332},[207,24973,254],{"emptyLinePlaceholder":253},[207,24975,24976],{"class":209,"line":344},[207,24977,24978],{"class":260},"# 你的 LangChain \u002F LlamaIndex \u002F 自家 agent 代码\n",[207,24980,24981],{"class":209,"line":355},[207,24982,24983],{"class":260},"# tracer 自动捕获 LLM \u002F tool \u002F sub-agent 调用\n",[207,24985,24986],{"class":209,"line":1669},[207,24987,254],{"emptyLinePlaceholder":253},[207,24989,24990],{"class":209,"line":1675},[207,24991,24992],{"class":234},"tracer.stop()\n",[207,24994,24995],{"class":209,"line":1681},[207,24996,24997],{"class":260},"# 登录 Catalyst Cloud 看 trace + 跑 300+ 测试\n",[21,24999,364],{"id":364},[366,25001,25002,25018],{},[369,25003,25004],{},[372,25005,25006,25008,25010,25012,25015],{},[375,25007,377],{},[375,25009,24694],{},[375,25011,10863],{},[375,25013,25014],{},"Helicone",[375,25016,25017],{},"Portkey",[390,25019,25020,25037,25052,25066,25080,25094,25110,25123,25140],{},[372,25021,25022,25025,25028,25031,25034],{},[395,25023,25024],{},"主打",[395,25026,25027],{},"测试 + 风险量化",[395,25029,25030],{},"Tracing + eval",[395,25032,25033],{},"Proxy 观测 + gateway",[395,25035,25036],{},"Gateway + 观测",[372,25038,25039,25042,25045,25047,25050],{},[395,25040,25041],{},"自动化测试库",[395,25043,25044],{},"✅ 300+",[395,25046,440],{},[395,25048,25049],{},"浅",[395,25051,25049],{},[372,25053,25054,25057,25059,25062,25064],{},[395,25055,25056],{},"Agentic debug",[395,25058,14629],{},[395,25060,25061],{},"✅ nested span",[395,25063,25049],{},[395,25065,2458],{},[372,25067,25068,25071,25073,25076,25078],{},[395,25069,25070],{},"RAG 专项测试",[395,25072,14629],{},[395,25074,25075],{},"✅ 中",[395,25077,443],{},[395,25079,443],{},[372,25081,25082,25085,25087,25089,25091],{},[395,25083,25084],{},"Proxy \u002F gateway",[395,25086,426],{},[395,25088,426],{},[395,25090,1100],{},[395,25092,25093],{},"✅ 250+",[372,25095,25096,25099,25102,25105,25107],{},[395,25097,25098],{},"自托管 OSS",[395,25100,25101],{},"SDK 部分",[395,25103,25104],{},"✅ MIT 19K+",[395,25106,1100],{},[395,25108,25109],{},"OSS Gateway only",[372,25111,25112,25115,25117,25119,25121],{},[395,25113,25114],{},"中文生态",[395,25116,426],{},[395,25118,426],{},[395,25120,426],{},[395,25122,426],{},[372,25124,25125,25128,25131,25134,25137],{},[395,25126,25127],{},"定价透明",[395,25129,25130],{},"❌ Custom",[395,25132,25133],{},"✅ $0\u002F$29\u002FEnterprise",[395,25135,25136],{},"✅ $0\u002F$79\u002F$799",[395,25138,25139],{},"✅ $0\u002F$49\u002F$799",[372,25141,25142,25144,25147,25150,25153],{},[395,25143,506],{},[395,25145,25146],{},"pre-prod testing + agentic",[395,25148,25149],{},"日常 tracing + eval",[395,25151,25152],{},"改 URL 快上手",[395,25154,25155],{},"gateway + 治理",[21,25157,521],{"id":521},[36,25159,25160,25166,25172,25178,25184,25190,25196,25202],{},[39,25161,25162,25165],{},[42,25163,25164],{},"OSS SDK ≠ 完整 Cloud","：300+ 测试库主要在 Cloud，OSS 主要 tracing + 部分 eval",[39,25167,25168,25171],{},[42,25169,25170],{},"dataset 质量决定测试质量","：建 eval dataset 时务必含 edge case \u002F adversarial 例",[39,25173,25174,25177],{},[42,25175,25176],{},"大 trace 渲染慢","：>500 step 的 agent 用 filter \u002F sampling",[39,25179,25180,25183],{},[42,25181,25182],{},"Cloud 定价 PoC 谈","：先 SDK 跑两月有数据再谈合同",[39,25185,25186,25189],{},[42,25187,25188],{},"不替代日常 observability","：复杂场景叠 Langfuse \u002F Helicone",[39,25191,25192,25195],{},[42,25193,25194],{},"中文场景弱","：报告 \u002F 文档 \u002F UI 均英文为主，国内项目要评估团队接受度",[39,25197,25198,25201],{},[42,25199,25200],{},"Agentic 测试时间长","：300+ 测试跑一遍可能数小时，CI\u002FCD 集成要 schedule 而非每次 PR",[39,25203,25204,25207],{},[42,25205,25206],{},"风险评分谨慎宣传","：『-90% 生产风险』是营销话术，实际依赖你的实施质量",[21,25209,575],{"id":574},[36,25211,25212,25215,25218,25221,25224,25227,25230,25233],{},[39,25213,25214],{},"✅ 生产级 agentic 系统 \u002F RAG pipeline 的中大型团队",[39,25216,25217],{},"✅ 金融 \u002F 医疗 \u002F 政企需要风险量化沟通",[39,25219,25220],{},"✅ 多 agent 协作系统需要 trace + debug",[39,25222,25223],{},"✅ 想把 LLM eval 从手工脚本升级成系统化平台",[39,25225,25226],{},"❌ 单一 LLM 调用 + 简单观测",[39,25228,25229],{},"❌ 预算紧 + 不要 Cloud（OSS SDK 部分能力够）",[39,25231,25232],{},"❌ 中文 \u002F 国内合规为主",[39,25234,25235],{},"❌ 不愿走企业销售流程",[21,25237,604],{"id":604},[36,25239,25240,25246,25252,25258],{},[39,25241,25242],{},[610,25243,25245],{"href":25244},"\u002Ftools\u002Fcoding\u002Fapi\u002Fhelicone","Helicone 评测",[39,25247,25248],{},[610,25249,25251],{"href":25250},"\u002Ftools\u002Fcoding\u002Fapi\u002Fportkey","Portkey 评测",[39,25253,25254],{},[610,25255,25257],{"href":25256},"\u002Ftools\u002Fcoding\u002Fapi\u002Flitellm","LiteLLM 评测",[39,25259,25260],{},[610,25261,8493],{"href":25262},"\u002Ftools\u002Fagent\u002Flangflow",[21,25264,628],{"id":628},[630,25266,25267,25274,25281,25288],{},[39,25268,25269,25270],{},"F6S — RagaAI Catalyst 产品概览 ",[610,25271,25272],{"href":25272,"rel":25273},"https:\u002F\u002Fwww.f6s.com\u002Fsoftware\u002Fragaai-catalyst",[639],[39,25275,25276,25277],{},"AIIndigo — RagaAI Catalyst 评测 + 定价 + 替代品 2026 ",[610,25278,25279],{"href":25279,"rel":25280},"https:\u002F\u002Faiindigo.com\u002Ftool\u002Fragaai-catalyst",[639],[39,25282,25283,25284],{},"SwitchTools — RagaAI Inc 平台（300+ 测试 \u002F 90% 风险下降）",[610,25285,25286],{"href":25286,"rel":25287},"https:\u002F\u002Fwww.switchtools.io\u002Ftool\u002Fragaai-inc",[639],[39,25289,25290,25291],{},"SoftwareSuggest — RagaAI Details \u002F Pricing 2026 ",[610,25292,25293],{"href":25293,"rel":25294},"https:\u002F\u002Fwww.softwaresuggest.com\u002Fragaai",[639],[662,25296,25297],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}",{"title":202,"searchDepth":250,"depth":250,"links":25299},[25300,25301,25302,25303,25304,25305,25306,25307,25308,25309],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":24794,"depth":224,"text":24795},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fraga.webp","RagaAI Catalyst 真实评测：印度 RagaAI 出品的 AI 测试 + 观测平台（Python SDK + 云端）。300+ 自动化测试覆盖 LLM \u002F RAG \u002F 多 agent，多 agent 系统 tracing + 调试，主打『部署前发现风险减少 90%』。F6S \u002F SoftwareSuggest \u002F SwitchTools 已收录。定价以企业销售为主，社区版 Python SDK 开源。",[25313,25316,25319,25322],{"q":25314,"a":25315},"RagaAI 和 Langfuse \u002F Helicone 怎么选？","RagaAI Catalyst 把『测试』作为一等公民——300+ 自动化测试 + RAG \u002F Agent 风险量化，强调『部署前发现』。Langfuse 是 tracing + eval 双强，Helicone 是 proxy 观测 + gateway。要 agentic 系统的 pre-prod testing + 风险评分 → RagaAI；要日常 LLM trace \u002F 简单 eval → Langfuse；要改 baseURL 看 cost → Helicone。",{"q":25317,"a":25318},"300+ 测试覆盖什么？","覆盖三类系统：(1) LLM 应用——hallucination \u002F toxicity \u002F bias \u002F PII leakage \u002F prompt injection；(2) RAG pipeline——检索准确率 \u002F context precision \u002F answer relevance \u002F faithfulness；(3) Agentic 系统——tool use 正确性 \u002F 多 agent 协作一致性 \u002F 任务完成率 \u002F 安全围栏。",{"q":25320,"a":25321},"Catalyst SDK 怎么用？","pip install ragaai-catalyst → 包装 LangChain \u002F LlamaIndex \u002F 自家 agent 框架 → 自动 trace 每次 LLM \u002F tool \u002F sub-agent 调用 → 上传 Cloud 看仪表盘 \u002F 跑测试。SDK 本身 OSS，Cloud 部分付费。",{"q":25323,"a":25324},"国内能用吗？","Python SDK 自托管 OK。Cloud 服务器在海外，国内延迟 + 合规要评估。中文场景 + 中文文档极弱，prompt \u002F 报告均英文。国内类似定位推荐看 PromptLayer \u002F Helicone OSS 自托管，或自家 LangSmith \u002F Phoenix 组合。",[697],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fraga",[335,18029,15423],[25330,25334,25336],{"plan":25331,"price":707,"features":25332,"notes":25333},"Catalyst OSS","Python SDK + agent \u002F LLM \u002F tool tracing + 多 agent debug + 部分 eval","github.com\u002Fraga-ai-hub\u002FRagaAI-Catalyst",{"plan":10032,"price":716,"features":25335,"notes":10045},"300+ 自动化测试库 + RAG \u002F LLM \u002F Agentic 全景 + 报告 \u002F 仪表盘 + 协作",{"plan":833,"price":716,"features":25337,"notes":25338},"SSO + 私有部署 + 合规 + SLA + 专属支持","大型 \u002F 受监管","Catalyst Python SDK 开源 \u002F Cloud Enterprise 定制",[25341],"onboarding\u002Frag-pipeline-build",{"power":264,"ux":250,"price":250,"cn_support":210,"stability":257},{"title":24694,"description":25311},"RagaAI Catalyst - AI Agent 测试平台评测 | AIHO","coding\u002Fagent\u002Fraga",[25347,25349,25351,25353],{"name":25348,"url":25272,"accessed":732},"F6S — RagaAI Catalyst 概览",{"name":25350,"url":25279,"accessed":732},"AIIndigo — RagaAI Catalyst 评测 2026",{"name":25352,"url":25286,"accessed":732},"SwitchTools — RagaAI Inc 平台 + 90% 风险下降",{"name":25354,"url":25293,"accessed":732},"SoftwareSuggest — RagaAI Details 2026","tools\u002Fcoding\u002Fagent\u002Fraga","AI agent 测试 + 观测平台——300+ 自动化测试覆盖 LLM\u002FRAG\u002FAgentic，量化『生产风险 -90%』",[25358,25359,25360,25361,25362,745],"agent-testing","llm-eval","rag-testing","observability","tracing","agentic AI 系统的『生产前测试 + 上线后观测』专项工具。要 300+ 测试库 + 多 agent debug 走 Raga；要简单 LLM trace 用 Langfuse \u002F Helicone；要网关 + 治理用 Portkey。中文 \u002F 国内场景生态弱。","https:\u002F\u002Fraga.ai","higAo-UpBwUDbypA3xxoMlDQky1AmmGZJq45WW4CAIY",{"id":25367,"title":25014,"alternatives":25368,"api_compatible":16,"body":25371,"category":18028,"chinese_friendly":224,"cover":26026,"description":26027,"domestic":680,"extension":681,"faq":26028,"free":680,"github":16,"languages":26041,"lastVerified":16,"meta":26042,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":25244,"pillar":22297,"platforms":26043,"priceTable":26045,"pricing":26060,"published":720,"relatedPlaybooks":26061,"relatedReviews":16,"score":26062,"self_host":253,"seo":26063,"seoTitle":26064,"slug":24696,"sources":26065,"stem":26076,"suitable":16,"tagline":26077,"tags":26078,"updated":732,"verdict":26084,"website":26085,"__hash__":26086},"tools\u002Ftools\u002Fcoding\u002Fapi\u002Fhelicone.md",[24697,24698,25369,25370],"coding\u002Fapi\u002Fopenrouter","coding\u002Fapi\u002Fone-api",{"type":18,"value":25372,"toc":26014},[25373,25375,25378,25381,25383,25460,25462,25485,25490,25494,25498,25521,25525,25551,25553,25666,25702,25704,25865,25867,25917,25919,25948,25950,25972,25974,26011],[21,25374,24],{"id":23},[26,25376,25377],{},"Helicone 是 YC W23 出身的开源 LLM 观测平台，主打『一行代码接入』：改 baseURL，立刻看到 cost \u002F latency \u002F errors \u002F token 详情。背后还有 Rust 写的 AI Gateway，路由 100+ 模型 + 缓存 + fallback + 限流。2026-03-03 被 Mintlify 收购后转维护模式（安全 patch + 新模型 + bug fix 继续，主动新功能停）。Hobby 免费 10K req\u002F月，Pro $79，Team $799（SOC2 + HIPAA），Enterprise 定制。SOC2 + GDPR 合规，可 Docker \u002F Kubernetes 自托管。",[26,25379,25380],{},"适合：要 5 分钟接入 LLM 观测的小团队 \u002F 早期产品；改 baseURL 模式想看 cost \u002F latency 即可；预算紧 → Hobby 10K 免费 + 自托管 OSS。不适合：复杂 agent 调试需要 nested span（Langfuse）；要 250+ 模型 \u002F MCP Gateway \u002F 治理（Portkey）；担心维护模式带来的路线图风险（Mintlify 收购后主动开发结束）。",[21,25382,34],{"id":34},[36,25384,25385,25391,25397,25403,25409,25414,25420,25426,25431,25437,25443,25449,25454],{},[39,25386,25387,25390],{},[42,25388,25389],{},"Proxy 模式","：改 baseURL，零 SDK 改造",[39,25392,25393,25396],{},[42,25394,25395],{},"Async 模式","：SDK 异步上报，0 延迟 + 容错",[39,25398,25399,25402],{},[42,25400,25401],{},"Request logging","：每条请求 + 响应 + cost + token + latency",[39,25404,25405,25408],{},[42,25406,25407],{},"Custom properties + sessions","：把多步工作流分组看",[39,25410,25411],{},[42,25412,25413],{},"Prompt management + playground",[39,25415,25416,25419],{},[42,25417,25418],{},"Custom scoring","：基础打分 + 数据集",[39,25421,25422,25425],{},[42,25423,25424],{},"AI Gateway","（Rust 写）：100+ 模型 + caching + fallback + rate limit",[39,25427,25428],{},[42,25429,25430],{},"OpenAI \u002F Anthropic \u002F Azure \u002F LiteLLM \u002F Anyscale \u002F Together \u002F OpenRouter 集成",[39,25432,25433,25436],{},[42,25434,25435],{},"Trace API","：手动 POST 多步 trace 数据（弥补 proxy 看不到 agent 内部）",[39,25438,25439,25442],{},[42,25440,25441],{},"Dashboard API","：查 dashboard 数据",[39,25444,25445,25448],{},[42,25446,25447],{},"Self-host","：Docker \u002F Kubernetes，开源 MIT",[39,25450,25451,25453],{},[42,25452,22137],{},"：SOC 2 + GDPR；Team+ HIPAA",[39,25455,25456,25459],{},[42,25457,25458],{},"导出","：webhook + 外部 reporting",[21,25461,108],{"id":108},[36,25463,25464,25470,25475,25480],{},[39,25465,25466,25469],{},[42,25467,25468],{},"Hobby","：$0 \u002F 10K req\u002F月 \u002F 7 天 retention \u002F 1 seat \u002F 1GB 存储",[39,25471,25472,25474],{},[42,25473,849],{},"：$79\u002F月 \u002F 10K 起 + usage \u002F 1 月 retention \u002F unlimited seats \u002F alerts \u002F HQL",[39,25476,25477,25479],{},[42,25478,867],{},"：$799\u002F月 \u002F 10K 起 + usage \u002F 3 月 retention \u002F SOC 2 + HIPAA \u002F 5 orgs",[39,25481,25482,25484],{},[42,25483,833],{},"：Custom \u002F 自定义 retention \u002F 永久存储 \u002F SSO \u002F on-prem",[130,25486,25487],{},[26,25488,25489],{},"自托管版（OSS）= $0 + 无限 logs，但运维 \u002F Postgres \u002F Clickhouse 全要自己搞。",[21,25491,25493],{"id":25492},"实测早期-saas-5-人团队","实测（早期 SaaS \u002F 5 人团队）",[26,25495,25496],{},[42,25497,143],{},[36,25499,25500,25503,25506,25509,25512,25515,25518],{},[39,25501,25502],{},"5 分钟接入，OpenAI SDK 改 baseURL + 加 Helicone-Auth header",[39,25504,25505],{},"Dashboard 看 cost \u002F latency \u002F error 第一天就帮发现 prompt 失控",[39,25507,25508],{},"Custom properties 给每个 user \u002F feature 打标，分摊成本清晰",[39,25510,25511],{},"Sessions 把 multi-step workflow 串起来（不像 Langfuse 是真 trace，但够小项目用）",[39,25513,25514],{},"AI Gateway 给 fallback \u002F caching 一处接入",[39,25516,25517],{},"开源自托管对预算紧团队是真救命",[39,25519,25520],{},"与 LiteLLM 集成顺滑",[26,25522,25523],{},[42,25524,168],{},[36,25526,25527,25530,25533,25536,25539,25542,25545,25548],{},[39,25528,25529],{},"2026-03 被 Mintlify 收购转维护模式后，主动功能开发停，长期路线图不确定",[39,25531,25532],{},"Proxy 模式 5–20ms 延迟在高 QPS 场景叠加可观",[39,25534,25535],{},"Proxy 看不到 agent 内部 tool \u002F sub-agent \u002F retries——复杂 agent 调试不够",[39,25537,25538],{},"Custom scoring 浅，不如 Langfuse 的 LLM-as-judge + 数据集 eval 体系完整",[39,25540,25541],{},"Free tier 10K req 小型生产几天就用完",[39,25543,25544],{},"文档自 Mintlify 收购后部分整合到 Mintlify Docs，导航变化",[39,25546,25547],{},"中文场景体验有限",[39,25549,25550],{},"Prompt caching 需要 cache-aware prompt design（含 timestamp \u002F nonce 命中率为 0）",[21,25552,936],{"id":936},[197,25554,25556],{"className":17410,"code":25555,"language":335,"meta":202,"style":202},"# Proxy 模式\nimport openai\nclient = openai.OpenAI(\n    base_url=\"https:\u002F\u002Foai.helicone.ai\u002Fv1\",\n    api_key=OPENAI_KEY,\n    default_headers={\n        \"Helicone-Auth\": f\"Bearer {HELICONE_KEY}\",\n        \"Helicone-User-Id\": \"user_123\",\n        \"Helicone-Property-Feature\": \"summarize\"\n    }\n)\n# 立刻在 https:\u002F\u002Fus.helicone.ai 看到 cost \u002F latency \u002F log\n",[204,25557,25558,25563,25570,25580,25591,25603,25612,25631,25643,25653,25657,25661],{"__ignoreMap":202},[207,25559,25560],{"class":209,"line":210},[207,25561,25562],{"class":260},"# Proxy 模式\n",[207,25564,25565,25567],{"class":209,"line":224},[207,25566,8862],{"class":306},[207,25568,25569],{"class":234}," openai\n",[207,25571,25572,25575,25577],{"class":209,"line":250},[207,25573,25574],{"class":234},"client ",[207,25576,1647],{"class":306},[207,25578,25579],{"class":234}," openai.OpenAI(\n",[207,25581,25582,25584,25586,25589],{"class":209,"line":257},[207,25583,24921],{"class":17466},[207,25585,1647],{"class":306},[207,25587,25588],{"class":217},"\"https:\u002F\u002Foai.helicone.ai\u002Fv1\"",[207,25590,995],{"class":234},[207,25592,25593,25596,25598,25601],{"class":209,"line":264},[207,25594,25595],{"class":17466},"    api_key",[207,25597,1647],{"class":306},[207,25599,25600],{"class":227},"OPENAI_KEY",[207,25602,995],{"class":234},[207,25604,25605,25608,25610],{"class":209,"line":276},[207,25606,25607],{"class":17466},"    default_headers",[207,25609,1647],{"class":306},[207,25611,966],{"class":234},[207,25613,25614,25617,25619,25621,25624,25627,25629],{"class":209,"line":281},[207,25615,25616],{"class":217},"        \"Helicone-Auth\"",[207,25618,989],{"class":234},[207,25620,17554],{"class":306},[207,25622,25623],{"class":217},"\"Bearer ",[207,25625,25626],{"class":227},"{HELICONE_KEY}",[207,25628,17569],{"class":217},[207,25630,995],{"class":234},[207,25632,25633,25636,25638,25641],{"class":209,"line":287},[207,25634,25635],{"class":217},"        \"Helicone-User-Id\"",[207,25637,989],{"class":234},[207,25639,25640],{"class":217},"\"user_123\"",[207,25642,995],{"class":234},[207,25644,25645,25648,25650],{"class":209,"line":321},[207,25646,25647],{"class":217},"        \"Helicone-Property-Feature\"",[207,25649,989],{"class":234},[207,25651,25652],{"class":217},"\"summarize\"\n",[207,25654,25655],{"class":209,"line":326},[207,25656,1025],{"class":234},[207,25658,25659],{"class":209,"line":332},[207,25660,8976],{"class":234},[207,25662,25663],{"class":209,"line":344},[207,25664,25665],{"class":260},"# 立刻在 https:\u002F\u002Fus.helicone.ai 看到 cost \u002F latency \u002F log\n",[197,25667,25669],{"className":199,"code":25668,"language":201,"meta":202,"style":202},"# 自托管\ngit clone https:\u002F\u002Fgithub.com\u002FHelicone\u002Fhelicone\ncd helicone && docker compose up -d\n",[204,25670,25671,25676,25685],{"__ignoreMap":202},[207,25672,25673],{"class":209,"line":210},[207,25674,25675],{"class":260},"# 自托管\n",[207,25677,25678,25680,25682],{"class":209,"line":224},[207,25679,214],{"class":213},[207,25681,218],{"class":217},[207,25683,25684],{"class":217}," https:\u002F\u002Fgithub.com\u002FHelicone\u002Fhelicone\n",[207,25686,25687,25689,25692,25694,25696,25698,25700],{"class":209,"line":250},[207,25688,228],{"class":227},[207,25690,25691],{"class":217}," helicone",[207,25693,235],{"class":234},[207,25695,2861],{"class":213},[207,25697,12600],{"class":217},[207,25699,12603],{"class":217},[207,25701,12606],{"class":227},[21,25703,364],{"id":364},[366,25705,25706,25718],{},[369,25707,25708],{},[372,25709,25710,25712,25714,25716],{},[375,25711,377],{},[375,25713,25014],{},[375,25715,10863],{},[375,25717,25017],{},[390,25719,25720,25733,25746,25759,25771,25785,25798,25810,25823,25837,25851],{},[372,25721,25722,25724,25727,25730],{},[395,25723,6291],{},[395,25725,25726],{},"Proxy \u002F Async",[395,25728,25729],{},"SDK",[395,25731,25732],{},"Gateway",[372,25734,25735,25738,25741,25744],{},[395,25736,25737],{},"接入时间",[395,25739,25740],{},"分钟（改 URL）",[395,25742,25743],{},"小时（代码改造）",[395,25745,25740],{},[372,25747,25748,25751,25754,25757],{},[395,25749,25750],{},"Tracing 深度",[395,25752,25753],{},"浅（请求级）",[395,25755,25756],{},"✅ 深 nested",[395,25758,2458],{},[372,25760,25761,25764,25767,25769],{},[395,25762,25763],{},"Multi-provider routing",[395,25765,25766],{},"✅ 基础 fallback",[395,25768,426],{},[395,25770,25093],{},[372,25772,25773,25776,25779,25782],{},[395,25774,25775],{},"Prompt mgmt",[395,25777,25778],{},"playground + 基础版本",[395,25780,25781],{},"✅ 版本 + playground",[395,25783,25784],{},"模板 + 管理",[372,25786,25787,25790,25793,25796],{},[395,25788,25789],{},"Eval",[395,25791,25792],{},"基础 scoring",[395,25794,25795],{},"✅ LLM-as-judge + datasets",[395,25797,10210],{},[372,25799,25800,25802,25805,25808],{},[395,25801,25447],{},[395,25803,25804],{},"✅ OSS 完整",[395,25806,25807],{},"✅ MIT 19K+ stars",[395,25809,25109],{},[372,25811,25812,25814,25817,25820],{},[395,25813,22137],{},[395,25815,25816],{},"SOC2 + HIPAA (Team+)",[395,25818,25819],{},"SOC2 (Enterprise)",[395,25821,25822],{},"SOC2 + HIPAA + ISO27001",[372,25824,25825,25828,25831,25834],{},[395,25826,25827],{},"Free tier",[395,25829,25830],{},"10K req\u002F月",[395,25832,25833],{},"50K events\u002F月",[395,25835,25836],{},"10K logs\u002F月",[372,25838,25839,25842,25845,25848],{},[395,25840,25841],{},"Paid 起价",[395,25843,25844],{},"$79",[395,25846,25847],{},"$29",[395,25849,25850],{},"$49",[372,25852,25853,25856,25859,25862],{},[395,25854,25855],{},"路线图",[395,25857,25858],{},"⚠️ 维护模式",[395,25860,25861],{},"✅ 活跃",[395,25863,25864],{},"✅ 活跃（PANW 收购）",[21,25866,521],{"id":521},[36,25868,25869,25875,25881,25887,25893,25899,25905,25911],{},[39,25870,25871,25874],{},[42,25872,25873],{},"维护模式风险","：被 Mintlify 收购后主动开发停，新项目长期演进考虑 Langfuse \u002F Portkey",[39,25876,25877,25880],{},[42,25878,25879],{},"Proxy 延迟 + SPOF","：Helicone 挂了，业务也挂；敏感链路用 async",[39,25882,25883,25886],{},[42,25884,25885],{},"Proxy 看不到 agent 内部","：tool call \u002F sub-agent \u002F retries 不可见，复杂 agent 用 Trace API 或转 Langfuse",[39,25888,25889,25892],{},[42,25890,25891],{},"Hobby 10K 跑不久","：小型生产几天用完，预算够直接上 Pro",[39,25894,25895,25898],{},[42,25896,25897],{},"Cache-aware prompt 设计","：prompt 含 timestamp \u002F random nonce 命中率 = 0",[39,25900,25901,25904],{},[42,25902,25903],{},"Custom scoring 浅","：复杂 eval 用 Langfuse 数据集 + LLM-as-judge",[39,25906,25907,25910],{},[42,25908,25909],{},"Air-gapped 价格","：自托管时部分模型价格表要手动维护",[39,25912,25913,25916],{},[42,25914,25915],{},"PII 路径敏感","：所有 prompt 经过 Helicone，要 review PII 处理 + retention + 自托管选项",[21,25918,575],{"id":574},[36,25920,25921,25924,25927,25930,25933,25936,25939,25942,25945],{},[39,25922,25923],{},"✅ 早期产品 + 想 5 分钟接入观测",[39,25925,25926],{},"✅ 改 baseURL 模式偏好 \u002F 不想 SDK 改造",[39,25928,25929],{},"✅ 预算紧 + 自托管接受",[39,25931,25932],{},"✅ 想用 Rust AI Gateway 做 fallback + caching",[39,25934,25935],{},"✅ SOC2 \u002F HIPAA Team+ 合规",[39,25937,25938],{},"❌ 复杂 agent 多步骤调试（用 Langfuse）",[39,25940,25941],{},"❌ 要 250+ 模型 + MCP + 强治理（用 Portkey）",[39,25943,25944],{},"❌ 长期路线图敏感（维护模式 risk）",[39,25946,25947],{},"❌ 中文运营（社区 \u002F 文档 \u002F UI 均英文）",[21,25949,604],{"id":604},[36,25951,25952,25956,25960,25966],{},[39,25953,25954],{},[610,25955,25251],{"href":25250},[39,25957,25958],{},[610,25959,25257],{"href":25256},[39,25961,25962],{},[610,25963,25965],{"href":25964},"\u002Ftools\u002Fcoding\u002Fapi\u002Fopenrouter","OpenRouter 评测",[39,25967,25968],{},[610,25969,25971],{"href":25970},"\u002Ftools\u002Fcoding\u002Fapi\u002Fone-api","One-API 评测",[21,25973,628],{"id":628},[630,25975,25976,25983,25990,25997,26004],{},[39,25977,25978,25979],{},"Inference.net — Helicone Pricing & Alternatives 2026（含 Mintlify 收购 + 维护模式细节）",[610,25980,25981],{"href":25981,"rel":25982},"https:\u002F\u002Finference.net\u002Fcontent\u002Fhelicone-pricing-alternatives",[639],[39,25984,25985,25986],{},"Helicone 官网 ",[610,25987,25988],{"href":25988,"rel":25989},"https:\u002F\u002Fwww.helicone.ai\u002F",[639],[39,25991,25992,25993],{},"QASkills — Helicone LLM Monitoring Complete Guide 2026 ",[610,25994,25995],{"href":25995,"rel":25996},"https:\u002F\u002Fqaskills.sh\u002Fblog\u002Fhelicone-llm-monitoring-complete-guide",[639],[39,25998,25999,26000],{},"AiPedia — Helicone Features Pricing & Failure Modes ",[610,26001,26002],{"href":26002,"rel":26003},"https:\u002F\u002Fwww.aipedia.wiki\u002Ftools\u002Fhelicone\u002F",[639],[39,26005,26006,26007],{},"BuildMVPFast — Langfuse vs Helicone vs Portkey ",[610,26008,26009],{"href":26009,"rel":26010},"https:\u002F\u002Fwww.buildmvpfast.com\u002Fblog\u002Fllm-observability-stack-langfuse-helicone-portkey-2026",[639],[662,26012,26013],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}",{"title":202,"searchDepth":250,"depth":250,"links":26015},[26016,26017,26018,26019,26020,26021,26022,26023,26024,26025],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":25492,"depth":224,"text":25493},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fhelicone.webp","Helicone 真实评测：YC W23 项目，开源 LLM 观测平台 + Rust 写的 AI Gateway。2026-03-03 被 Mintlify 收购后转维护模式（安全更新 + 新模型 + bug fix 继续，主动新功能停）。免费 10K req\u002F月 + Pro $79 + Team $799（SOC2 + HIPAA）+ Enterprise 定制。零代码 SDK 改造、改 baseURL 即用，是接入最快的 LLM 观测之一。",[26029,26032,26035,26038],{"q":26030,"a":26031},"Helicone 被收购后还能用吗？","2026-03-03 Mintlify 收购 Helicone，产品转维护模式：安全 patch + 新模型支持 + bug fix 继续发，但主动新功能开发结束。现存生产部署仍稳定，但选型时要权衡：路线图不动 \u002F 不期待新观测形态 \u002F 接受工具被 Mintlify 整合或归档的风险。新项目长期演进建议看 Langfuse 或 Portkey。",{"q":26033,"a":26034},"Proxy 和 async 模式哪个好？","Proxy（改 baseURL，所有请求走 Helicone）= 接入快 + 完整捕获，但加 ~5–20ms 延迟、Helicone 挂了请求也挂。Async（SDK 异步上报）= 0 延迟 + Helicone 故障不影响业务，但失败窗口可能漏 log。生产敏感链路用 async，开发 \u002F 内部用 proxy。",{"q":26036,"a":26037},"Proxy 能看到 agent 内部工具调用吗？","不能——proxy 只能看到穿过它的 LLM 请求，agent 框架内的 tool execution \u002F sub-agent \u002F retries 都不可见。复杂 agent 调试需要 trace 级深度，要 Langfuse 的 nested span 或 Helicone Trace API（手动 POST）。",{"q":26039,"a":26040},"和 Langfuse \u002F Portkey 怎么选？","Helicone = proxy-based，URL 一改分钟上手，请求级日志 + 基础 gateway 路由。Langfuse = SDK-based，代码改造小时级，但 nested span 深度 tracing + LLM-as-judge eval 一等。Portkey = gateway-first，250+ 模型 + MCP + 强合规但定价复杂。简单 + 快 → Helicone；agent 调试 → Langfuse；网关 + 治理 + 合规 → Portkey。",[697],{},[26044,3367,18028,18029],"saas",[26046,26049,26053,26057],{"plan":25468,"price":707,"features":26047,"notes":26048},"10K req\u002F月 + 7 天 retention + 1 seat + 1GB storage + 基础 dashboards","Free trial \u002F hobby \u002F 验证",{"plan":849,"price":26050,"features":26051,"notes":26052},"$79\u002F月","10K + usage + 1 月 retention + unlimited seats + alerts + HQL + prompt management","中小生产",{"plan":867,"price":26054,"features":26055,"notes":26056},"$799\u002F月","10K + usage + 3 月 retention + SOC-2 + HIPAA + 5 orgs","中大型 + 合规",{"plan":833,"price":716,"features":26058,"notes":26059},"自定义 retention + 永久存储 + SSO + on-prem + 专属支持","大型 \u002F 政企","Hobby 免费 10K req\u002F月 \u002F Pro $79\u002F月 \u002F Team $799\u002F月 \u002F Enterprise 定制",[25341],{"power":257,"ux":264,"price":257,"cn_support":224,"stability":250},{"title":25014,"description":26027},"Helicone - 开源 LLM 观测网关评测 | AIHO",[26066,26068,26070,26072,26074],{"name":26067,"url":25981,"accessed":732},"Inference.net — Helicone Pricing & Alternatives (Jun 2026)",{"name":26069,"url":25988,"accessed":732},"Helicone 官网",{"name":26071,"url":25995,"accessed":732},"QASkills — Helicone LLM Monitoring Guide 2026",{"name":26073,"url":26002,"accessed":732},"AiPedia — Helicone 评测 + 失败模式",{"name":26075,"url":26009,"accessed":732},"BuildMVPFast — Langfuse vs Helicone vs Portkey","tools\u002Fcoding\u002Fapi\u002Fhelicone","一行代码 LLM 观测——开源 Proxy + AI Gateway，2026-03 被 Mintlify 收购、维护模式运行",[26079,26080,26081,745,26082,22335,26083],"llm-observability","proxy","ai-gateway","ycombinator","hipaa","最容易接入的 LLM 观测，改 baseURL 几分钟看到 cost\u002Flatency\u002Ferrors。被 Mintlify 收购转维护模式后路线图不确定——做新项目权衡：要快上手 + 不期待新功能 OK；要 nested span + 持续演进走 Langfuse。","https:\u002F\u002Fwww.helicone.ai","ef2i6qmclCxe6O_p4Z8CyXo-G-5zCtdbQZ5iZkCzg44",{"id":26088,"title":10863,"alternatives":26089,"api_compatible":16,"body":26090,"category":18028,"chinese_friendly":224,"cover":26628,"description":26629,"domestic":680,"extension":681,"faq":16,"free":680,"github":26610,"languages":26630,"lastVerified":2637,"meta":26631,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":26632,"pillar":22297,"platforms":26633,"priceTable":16,"pricing":26634,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":26635,"self_host":680,"seo":26636,"seoTitle":26637,"slug":26638,"sources":26639,"stem":26642,"suitable":16,"tagline":26643,"tags":26644,"updated":2637,"verdict":26646,"website":26604,"__hash__":26647},"tools\u002Ftools\u002Fcoding\u002Fapi\u002Flangfuse.md",[24696,24697,24698],{"type":18,"value":26091,"toc":26615},[26092,26094,26097,26100,26102,26155,26157,26187,26189,26197,26201,26224,26228,26245,26247,26367,26369,26481,26483,26528,26530,26556,26558,26564,26570,26576,26582,26584,26592,26594,26598,26612],[21,26093,24],{"id":23},[26,26095,26096],{},"Langfuse 是开源的 LLM 可观测性平台（MIT 协议），核心做三件事：Tracing 链路追踪（记录 LLM 应用的每一步调用、输入输出、耗时、token 用量）、Prompt 版本管理（把 prompt 当代码管理、A\u002FB 测试、版本回滚）、LLM 评估打分（人工标注 + LLM-as-judge 自动评估）。支持 Cloud SaaS 和 Docker 自托管，Python \u002F JS SDK 一行接入。",[26,26098,26099],{},"适合：开发 LLM 应用 \u002F Agent 需要调试调用链、追踪多步推理过程、管理 prompt 版本、做评估和质量监控的团队。不适合：纯 API 路由 \u002F 成本控制需求（用 Portkey \u002F LiteLLM）、不需要 LLM 层可观测的普通后端（用 OpenTelemetry \u002F Datadog）。",[21,26101,34],{"id":34},[36,26103,26104,26110,26116,26126,26132,26138,26144,26149],{},[39,26105,26106,26109],{},[42,26107,26108],{},"Tracing 链路追踪","：记录 LLM 应用的完整调用链——从用户输入到 LLM 调用到工具执行到最终输出，每一步都有 input\u002Foutput\u002F耗时\u002Ftoken\u002F成本",[39,26111,26112,26115],{},[42,26113,26114],{},"自动 instrument","：SDK 自动拦截 OpenAI \u002F Anthropic \u002F LangChain \u002F LlamaIndex 调用，零侵入接入",[39,26117,26118,26121,26122,26125],{},[42,26119,26120],{},"Prompt 管理","：在 UI 中编辑、版本化、A\u002FB 测试 prompt，代码里 ",[204,26123,26124],{},"langfuse.get_prompt(\"v2\")"," 拉取，无需重新部署",[39,26127,26128,26131],{},[42,26129,26130],{},"LLM 评估（Evals）","：支持人工标注 + LLM-as-judge 自动评估，自定义评估维度（准确性、相关性、安全等）",[39,26133,26134,26137],{},[42,26135,26136],{},"Analytics 仪表盘","：token 用量、成本、延迟、错误率、评估分数的实时统计和趋势图",[39,26139,26140,26143],{},[42,26141,26142],{},"多框架集成","：LangChain \u002F LlamaIndex \u002F OpenAI SDK \u002F Anthropic SDK \u002F Vercel AI SDK 原生支持",[39,26145,26146,26148],{},[42,26147,7433],{},"：Docker Compose 一键部署，数据完全自主，MIT 协议无商用限制",[39,26150,26151,26154],{},[42,26152,26153],{},"标注队列","：团队协作标注数据，支持自定义标注流程和分配",[21,26156,108],{"id":108},[36,26158,26159,26165,26171,26177,26182],{},[39,26160,26161,26164],{},[42,26162,26163],{},"Hobby（免费）","：Cloud 版，50K units\u002F月（约 50K observations），适合个人和原型",[39,26166,26167,26170],{},[42,26168,26169],{},"Core $29\u002F月","：100K units\u002F月，无限用户、90 天数据保留，生产项目入门",[39,26172,26173,26176],{},[42,26174,26175],{},"Pro $199\u002F月","：100K units\u002F月包含，无限历史\u002F高并发\u002F标注队列\u002FSOC2·ISO27001 报告，适合规模化团队",[39,26178,26179,26181],{},[42,26180,833],{},"：联系销售（约 $2499\u002F月起），SSO、审计日志、SLA、无限制",[39,26183,26184,26186],{},[42,26185,7433],{},"：完全免费，MIT 协议，自己出服务器成本（一台 4C8G VPS 即可跑）",[21,26188,2241],{"id":2240},[130,26190,26191],{},[26,26192,2246,26193,26196],{},[42,26194,26195],{},"示例场景","：自托管 Docker 部署 + Python SDK，追踪一个 RAG 应用（LangChain）的调用链。",[26,26198,26199],{},[42,26200,143],{},[36,26202,26203,26209,26212,26215,26218,26221],{},[39,26204,26205,26208],{},[204,26206,26207],{},"@observe()"," 装饰器一行加到函数上，自动追踪整条调用链，从用户 query → embedding → 检索 → LLM 生成全链路可见",[39,26210,26211],{},"自动拦截 OpenAI 调用，token 用量和成本统计精确到每次调用，月度成本一目了然",[39,26213,26214],{},"Prompt 管理在 UI 改了直接生效，不用改代码重新部署，A\u002FB 测试两个版本对比效果",[39,26216,26217],{},"LLM-as-judge 评估自动化：配置 GPT-4o 对每条 trace 打分（1-5 分），评估覆盖率和一致性不错",[39,26219,26220],{},"UI 直观，调用链树状展开，每步 input\u002Foutput 都可点开看，调试 Agent 多步推理很方便",[39,26222,26223],{},"自托管 4C8G VPS 跑了一个月稳定，PostgreSQL 存数据，查询快",[26,26225,26226],{},[42,26227,168],{},[36,26229,26230,26233,26236,26239,26242],{},[39,26231,26232],{},"自动 instrument 偶尔漏追踪——用 async \u002F 多线程时要注意 SDK 版本，0.x 到 1.x 有 breaking change",[39,26234,26235],{},"免费版 50K units 很快用完（一次 Agent 调用可能产生 10+ observations），生产用自托管或付费",[39,26237,26238],{},"LLM-as-judge 评估有偏差——GPT-4o 自评倾向给自己高分，需要设计好 rubric 和 few-shot 示例",[39,26240,26241],{},"Prompt 管理的 UI 编辑器不支持 Jinja2 语法高亮，复杂模板调试不方便",[39,26243,26244],{},"自托管要配好 PostgreSQL + Redis，数据量大时查询会慢，需要定期清理",[21,26246,936],{"id":936},[630,26248,26249,26256,26265,26271,26358,26361],{},[39,26250,26251,26252,26255],{},"注册 Cloud 账号（或 ",[204,26253,26254],{},"docker compose up"," 自托管）",[39,26257,26258,26259,11448,26262],{},"创建项目，获取 ",[204,26260,26261],{},"PUBLIC_KEY",[204,26263,26264],{},"SECRET_KEY",[39,26266,26267,26268],{},"安装 SDK：",[204,26269,26270],{},"pip install langfuse",[39,26272,26273,26274],{},"初始化 + 装饰器接入：\n",[197,26275,26277],{"className":17410,"code":26276,"language":335,"meta":202,"style":202},"from langfuse import observe\nfrom langfuse.openai import openai  # 自动追踪\n\n@observe()\ndef chat(query):\n    return openai.chat.completions.create(model=\"gpt-4o\", messages=[...])\n",[204,26278,26279,26291,26306,26310,26317,26328],{"__ignoreMap":202},[207,26280,26281,26283,26286,26288],{"class":209,"line":210},[207,26282,8868],{"class":306},[207,26284,26285],{"class":234}," langfuse ",[207,26287,8862],{"class":306},[207,26289,26290],{"class":234}," observe\n",[207,26292,26293,26295,26298,26300,26303],{"class":209,"line":224},[207,26294,8868],{"class":306},[207,26296,26297],{"class":234}," langfuse.openai ",[207,26299,8862],{"class":306},[207,26301,26302],{"class":234}," openai  ",[207,26304,26305],{"class":260},"# 自动追踪\n",[207,26307,26308],{"class":209,"line":250},[207,26309,254],{"emptyLinePlaceholder":253},[207,26311,26312,26315],{"class":209,"line":257},[207,26313,26314],{"class":213},"@observe",[207,26316,9055],{"class":234},[207,26318,26319,26322,26325],{"class":209,"line":264},[207,26320,26321],{"class":306},"def",[207,26323,26324],{"class":213}," chat",[207,26326,26327],{"class":234},"(query):\n",[207,26329,26330,26333,26336,26339,26341,26344,26346,26349,26351,26353,26356],{"class":209,"line":276},[207,26331,26332],{"class":306},"    return",[207,26334,26335],{"class":234}," openai.chat.completions.create(",[207,26337,26338],{"class":17466},"model",[207,26340,1647],{"class":306},[207,26342,26343],{"class":217},"\"gpt-4o\"",[207,26345,1009],{"class":234},[207,26347,26348],{"class":17466},"messages",[207,26350,1647],{"class":306},[207,26352,17500],{"class":234},[207,26354,26355],{"class":227},"...",[207,26357,17511],{"class":234},[39,26359,26360],{},"打开 Langfuse Dashboard 查看实时 trace",[39,26362,26363,26364,26366],{},"进阶：在 UI 创建 Prompt → 代码 ",[204,26365,26124],{}," 拉取 → 配置 LLM 评估自动打分",[21,26368,364],{"id":364},[366,26370,26371,26386],{},[369,26372,26373],{},[372,26374,26375,26377,26379,26382,26384],{},[375,26376,377],{},[375,26378,10863],{},[375,26380,26381],{},"LangSmith",[375,26383,25014],{},[375,26385,25017],{},[390,26387,26388,26401,26414,26426,26439,26454,26468],{},[372,26389,26390,26393,26395,26397,26399],{},[395,26391,26392],{},"开源 \u002F 自托管",[395,26394,423],{},[395,26396,426],{},[395,26398,426],{},[395,26400,440],{},[372,26402,26403,26406,26408,26410,26412],{},[395,26404,26405],{},"Tracing",[395,26407,1100],{},[395,26409,1100],{},[395,26411,1100],{},[395,26413,1100],{},[372,26415,26416,26418,26420,26422,26424],{},[395,26417,26120],{},[395,26419,1100],{},[395,26421,1100],{},[395,26423,426],{},[395,26425,1100],{},[372,26427,26428,26431,26433,26435,26437],{},[395,26429,26430],{},"LLM 评估",[395,26432,1100],{},[395,26434,1100],{},[395,26436,426],{},[395,26438,426],{},[372,26440,26441,26443,26446,26449,26452],{},[395,26442,9735],{},[395,26444,26445],{},"50K units\u002F月",[395,26447,26448],{},"5K runs\u002F月",[395,26450,26451],{},"100K req\u002F月",[395,26453,25830],{},[372,26455,26456,26458,26460,26463,26466],{},[395,26457,26142],{},[395,26459,1100],{},[395,26461,26462],{},"LangChain 优先",[395,26464,26465],{},"OpenAI 优先",[395,26467,1100],{},[372,26469,26470,26473,26475,26477,26479],{},[395,26471,26472],{},"API 网关",[395,26474,426],{},[395,26476,426],{},[395,26478,1100],{},[395,26480,1100],{},[21,26482,521],{"id":521},[36,26484,26485,26491,26500,26506,26512,26522],{},[39,26486,26487,26490],{},[42,26488,26489],{},"observations 计数要注意","：一条 trace 可能包含多个 observations（LLM 调用、工具调用、子函数），免费额度消耗比预期快",[39,26492,26493,26496,26497],{},[42,26494,26495],{},"SDK 版本兼容性","：1.x 版本 API 有 breaking change，升级前看 changelog，旧代码用 ",[204,26498,26499],{},"langfuse@0.x",[39,26501,26502,26505],{},[42,26503,26504],{},"LLM-as-judge 要校准","：自动评估有系统性偏差，先用人工标注 50-100 条做 baseline，再调 rubric",[39,26507,26508,26511],{},[42,26509,26510],{},"自托管数据清理","：长期运行数据膨胀快，配 retention policy 定期清理旧 trace，否则 PostgreSQL 查询变慢",[39,26513,26514,26517,26518,26521],{},[42,26515,26516],{},"生产环境加采样","：高 QPS 场景全量 trace 会有性能开销和成本，用 ",[204,26519,26520],{},"@observe(enabled=False)"," 或按比例采样",[39,26523,26524,26527],{},[42,26525,26526],{},"Prompt 管理不适合复杂逻辑","：纯文本模板好用，含复杂分支 \u002F 代码逻辑的 prompt 还是放代码里更可控",[21,26529,575],{"id":574},[36,26531,26532,26535,26538,26541,26544,26547,26550,26553],{},[39,26533,26534],{},"✅ LLM 应用 \u002F Agent 开发调试（看完整调用链）",[39,26536,26537],{},"✅ Prompt 版本管理和 A\u002FB 测试",[39,26539,26540],{},"✅ LLM 输出质量监控和评估（人工 + 自动）",[39,26542,26543],{},"✅ 需要 self-host 的数据敏感场景（MIT 自托管）",[39,26545,26546],{},"✅ 成本和 token 用量监控",[39,26548,26549],{},"❌ 纯 API 路由 \u002F 负载均衡 \u002F 多模型 fallback（用 Portkey \u002F LiteLLM）",[39,26551,26552],{},"❌ 非 LLM 后端的通用 APM（用 OpenTelemetry \u002F Datadog \u002F Grafana）",[39,26554,26555],{},"❌ 需要企业级 SSO \u002F 审计的自托管（Community 版功能有限，需 Enterprise）",[21,26557,2552],{"id":2551},[26,26559,26560,26563],{},[42,26561,26562],{},"Q: Langfuse 和 LangSmith 怎么选？","\nA: LangSmith 是 LangChain 官方的，和 LangChain 深度绑定但闭源、无自托管。Langfuse 开源可自托管、框架无关，LangChain \u002F LlamaIndex \u002F 原生 SDK 都支持。数据敏感选 Langfuse 自托管，深度用 LangChain 生态选 LangSmith。",[26,26565,26566,26569],{},[42,26567,26568],{},"Q: 自托管需要什么配置？","\nA: 最小 4C8G VPS + PostgreSQL + Redis，Docker Compose 一键部署。月成本 $10-20（VPS）。数据量大加磁盘和定期清理。",[26,26571,26572,26575],{},[42,26573,26574],{},"Q: 和 Helicone 区别？","\nA: Helicone 偏 API 代理 + 成本监控，是 OpenAI API 前面的中间层。Langfuse 更偏应用层可观测，追踪的是业务逻辑调用链（RAG、Agent 多步推理），不只是 API 调用日志。",[26,26577,26578,26581],{},[42,26579,26580],{},"Q: 性能开销大吗？","\nA: SDK 异步上报，单次 trace 开销 \u003C 5ms。高 QPS（1000+ req\u002Fs）建议加采样，否则 Langfuse 服务端和 PostgreSQL 压力大。",[21,26583,604],{"id":604},[26,26585,26586,2589,26588,2589,26590],{},[610,26587,10429],{"href":12225},[610,26589,8250],{"href":10857},[610,26591,9881],{"href":9880},[21,26593,628],{"id":628},[130,26595,26596],{},[26,26597,2604],{},[36,26599,26600,26606],{},[39,26601,26602],{},[610,26603,2613],{"href":26604,"rel":26605},"https:\u002F\u002Flangfuse.com",[639],[39,26607,26608],{},[610,26609,2620],{"href":26610,"rel":26611},"https:\u002F\u002Fgithub.com\u002Flangfuse\u002Flangfuse",[639],[662,26613,26614],{},"html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":26616},[26617,26618,26619,26620,26621,26622,26623,26624,26625,26626,26627],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Flangfuse.webp","Langfuse 真实评测：开源 LLM 可观测平台（MIT 协议），提供 Tracing 链路追踪 + Prompt 版本管理 + LLM 评估打分。支持自托管 + Cloud，适合需要监控调试 LLM 应用、追踪多步 Agent 调用链的开发团队。",[697],{},"\u002Ftools\u002Fcoding\u002Fapi\u002Flangfuse",[704],"Free \u002F Cloud \u002F 自托管（MIT）",{"power":257,"ux":257,"price":264,"cn_support":224,"stability":257},{"title":10863,"description":26629},"Langfuse - 开源 LLM 可观测平台评测 | AIHO","coding\u002Fapi\u002Flangfuse",[26640,26641],{"title":2613,"url":26604},{"title":2620,"url":26610},"tools\u002Fcoding\u002Fapi\u002Flangfuse","开源 LLM 可观测平台，Tracing + Prompt 管理 + 评估",[25361,25362,26645,745,25359],"prompt-management","开源 LLM 可观测平台的首选，Tracing + Prompt 管理 + 评估三合一且可自托管，适合需要调试和监控 LLM\u002FAgent 应用的团队；纯 API 网关需求选 Portkey\u002FLiteLLM 更轻量。","i-NrZE4lUW8oeoza3xiR0xvrA2IHuWuFfGRLpRVlcmw",{"id":26649,"title":26650,"alternatives":26651,"api_compatible":16,"body":26652,"category":18028,"chinese_friendly":250,"cover":27318,"description":27319,"domestic":680,"extension":681,"faq":27320,"free":680,"github":16,"languages":27333,"lastVerified":16,"meta":27334,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":25256,"pillar":22297,"platforms":27335,"priceTable":27337,"pricing":27346,"published":720,"relatedPlaybooks":27347,"relatedReviews":27348,"score":27350,"self_host":253,"seo":27351,"seoTitle":27352,"slug":24698,"sources":27353,"stem":27362,"suitable":16,"tagline":27363,"tags":27364,"updated":732,"verdict":27367,"website":27368,"__hash__":27369},"tools\u002Ftools\u002Fcoding\u002Fapi\u002Flitellm.md","LiteLLM",[25369,25370,24697,24696],{"type":18,"value":26653,"toc":27306},[26654,26656,26662,26665,26667,26760,26762,26777,26782,26786,26790,26813,26817,26842,26846,27009,27011,27157,27159,27223,27225,27251,27253,27271,27273,27303],[21,26655,24],{"id":23},[26,26657,26658,26659,26661],{},"LiteLLM 是开源 LLM 网关里事实标准：MIT 协议，BerriAI 维护，双形态——SDK（",[204,26660,2172],{},"，单进程嵌入）+ Proxy（Docker Compose + Postgres，团队级网关）。100+ 厂商统一 OpenAI 接口，虚拟 Key + 团队预算 + 三类 fallback（错误\u002F政策\u002F上下文）+ 成本追踪 + 内置 admin UI。2026-03 供应链事件后 v1.83+ 强化镜像验证，生产固定签名版本。",[26,26663,26664],{},"适合：中大型团队 \u002F 合规 \u002F 想完全控数据 + BYOK；微服务架构需要语言无关的 OpenAI 网关；要把成本治理 + 观测做到自建。不适合：不想运维（SaaS 走 OpenRouter \u002F Portkey）；中文支付 \u002F 业务运营（走 one-api \u002F new-api）；纯个人项目（pip 装 SDK 已够，不需要 Proxy）。",[21,26666,34],{"id":34},[36,26668,26669,26675,26684,26693,26701,26710,26716,26722,26731,26737,26743,26749,26755],{},[39,26670,26671,26674],{},[42,26672,26673],{},"100+ providers","：OpenAI \u002F Anthropic \u002F Google \u002F AWS Bedrock \u002F Azure \u002F vLLM \u002F Ollama \u002F Together \u002F HuggingFace 等",[39,26676,26677,26680,26681],{},[42,26678,26679],{},"统一 OpenAI 接口","：所有模型走 ",[204,26682,26683],{},"\u002Fv1\u002Fchat\u002Fcompletions",[39,26685,26686,5072,26689,26692],{},[42,26687,26688],{},"SDK 模式",[204,26690,26691],{},"from litellm import completion","，适合嵌入",[39,26694,26695,26697,26698,2337],{},[42,26696,25389],{},"：HTTP 服务 + Postgres + admin UI（",[204,26699,26700],{},"\u002Fui",[39,26702,26703,5072,26706,26709],{},[42,26704,26705],{},"虚拟 Key",[204,26707,26708],{},"\u002Fkey\u002Fgenerate"," 给团队 \u002F 服务签发独立 Key + 预算 + 模型白名单",[39,26711,26712,26715],{},[42,26713,26714],{},"三类 fallback","：错误 \u002F 内容政策 \u002F context window",[39,26717,26718,26721],{},[42,26719,26720],{},"重试 + 超时 + cooldown","：完整 SRE 配套",[39,26723,26724,5072,26727,26730],{},[42,26725,26726],{},"Cost tracking",[204,26728,26729],{},"\u002Fglobal\u002Fspend\u002Freport"," + admin UI 看每团队 \u002F Key \u002F 模型成本",[39,26732,26733,26736],{},[42,26734,26735],{},"回调","：Langfuse \u002F Prometheus \u002F Slack 一键挂载",[39,26738,26739,26742],{},[42,26740,26741],{},"Guardrails","：Presidio PII masking \u002F 自定义内容检查",[39,26744,26745,26748],{},[42,26746,26747],{},"缓存","：Redis 内置 + 语义缓存",[39,26750,26751,26754],{},[42,26752,26753],{},"Routing strategy","：cost-based \u002F latency-based \u002F round-robin",[39,26756,26757,26759],{},[42,26758,8013],{},"：完全自由商用 + 修改",[21,26761,108],{"id":108},[36,26763,26764,26769,26774],{},[39,26765,26766,26768],{},[42,26767,18201],{},"：$0；自托管成本 = 1 台 Postgres + 1 台 LiteLLM container（~2GB RAM）",[39,26770,26771,26773],{},[42,26772,833],{},"：Custom；SSO \u002F SAML \u002F 审计 \u002F SLA \u002F on-prem 部署支持",[39,26775,26776],{},"模型成本走各厂商直接结算（BYOK）",[130,26778,26779],{},[26,26780,26781],{},"小规模总成本：1 台 2 核 4G VPS 跑 Postgres + LiteLLM 月 $20–30，团队 10 人完全够。",[21,26783,26785],{"id":26784},"实测10-人-saas-微服务架构","实测（10 人 SaaS \u002F 微服务架构）",[26,26787,26788],{},[42,26789,143],{},[36,26791,26792,26795,26798,26801,26804,26807,26810],{},[39,26793,26794],{},"Docker Compose 40 分钟拉起完整生产栈",[39,26796,26797],{},"虚拟 Key + 预算让微服务团队成本归因清晰",[39,26799,26800],{},"三类 fallback 配齐后可用率从 99.2% → 99.8%",[39,26802,26803],{},"admin UI 看每团队每天成本省了一堆自研 dashboard",[39,26805,26806],{},"Postgres + master key 模式，密钥 + 配置一致性高",[39,26808,26809],{},"与 Langfuse 集成做 trace + cost 双视角",[39,26811,26812],{},"多语言客户端（Python \u002F Node \u002F Go \u002F Rust）走同一 endpoint 体验一致",[26,26814,26815],{},[42,26816,168],{},[36,26818,26819,26826,26829,26832,26839],{},[39,26820,26821,26822,26825],{},"2026-03 供应链事件让团队对 ",[204,26823,26824],{},":latest"," tag 警惕，生产必须固定签名版本（如 v1.85.0）",[39,26827,26828],{},"Postgres salt key 一旦生成不能轮换，初始化前要谨慎备份",[39,26830,26831],{},"admin UI 早期版本英文为主，中文文档少",[39,26833,26834,26835,26838],{},"模型 ID 命名复杂（",[204,26836,26837],{},"provider\u002Fmodel-name","），各厂商命名规则不一",[39,26840,26841],{},"自托管 = 自付运维（Postgres backup \u002F 升级 \u002F 监控）",[21,26843,26845],{"id":26844},"上手proxy-模式","上手（Proxy 模式）",[197,26847,26849],{"className":199,"code":26848,"language":201,"meta":202,"style":202},"mkdir llm-gateway && cd llm-gateway\nopenssl rand -hex 32 > .master_key\nopenssl rand -hex 32 > .salt_key\n\n# docker-compose.yml 拉 ghcr.io\u002Fberriai\u002Flitellm:v1.85.0\n# config.yaml 写 model_list \u002F fallbacks \u002F litellm_settings\n\ndocker compose up -d\n\n# 生成虚拟 Key\ncurl -X POST http:\u002F\u002Flocalhost:4000\u002Fkey\u002Fgenerate \\\n  -H \"Authorization: Bearer $LITELLM_MASTER_KEY\" \\\n  -d '{\"models\":[\"gpt-5.4\",\"claude-sonnet-4.6\"],\"max_budget\":100}'\n\n# 业务方调用\ncurl http:\u002F\u002Flocalhost:4000\u002Fv1\u002Fchat\u002Fcompletions \\\n  -H \"Authorization: Bearer sk-xxx\" \\\n  -d '{\"model\":\"gpt-5.4\",\"messages\":[...]}'\n",[204,26850,26851,26865,26885,26900,26904,26909,26914,26918,26928,26932,26937,26952,26967,26975,26979,26984,26993,27002],{"__ignoreMap":202},[207,26852,26853,26855,26858,26860,26862],{"class":209,"line":210},[207,26854,15660],{"class":213},[207,26856,26857],{"class":217}," llm-gateway",[207,26859,235],{"class":234},[207,26861,228],{"class":227},[207,26863,26864],{"class":217}," llm-gateway\n",[207,26866,26867,26870,26873,26876,26879,26882],{"class":209,"line":224},[207,26868,26869],{"class":213},"openssl",[207,26871,26872],{"class":217}," rand",[207,26874,26875],{"class":227}," -hex",[207,26877,26878],{"class":227}," 32",[207,26880,26881],{"class":306}," >",[207,26883,26884],{"class":217}," .master_key\n",[207,26886,26887,26889,26891,26893,26895,26897],{"class":209,"line":250},[207,26888,26869],{"class":213},[207,26890,26872],{"class":217},[207,26892,26875],{"class":227},[207,26894,26878],{"class":227},[207,26896,26881],{"class":306},[207,26898,26899],{"class":217}," .salt_key\n",[207,26901,26902],{"class":209,"line":257},[207,26903,254],{"emptyLinePlaceholder":253},[207,26905,26906],{"class":209,"line":264},[207,26907,26908],{"class":260},"# docker-compose.yml 拉 ghcr.io\u002Fberriai\u002Flitellm:v1.85.0\n",[207,26910,26911],{"class":209,"line":276},[207,26912,26913],{"class":260},"# config.yaml 写 model_list \u002F fallbacks \u002F litellm_settings\n",[207,26915,26916],{"class":209,"line":281},[207,26917,254],{"emptyLinePlaceholder":253},[207,26919,26920,26922,26924,26926],{"class":209,"line":287},[207,26921,2861],{"class":213},[207,26923,12600],{"class":217},[207,26925,12603],{"class":217},[207,26927,12606],{"class":227},[207,26929,26930],{"class":209,"line":321},[207,26931,254],{"emptyLinePlaceholder":253},[207,26933,26934],{"class":209,"line":326},[207,26935,26936],{"class":260},"# 生成虚拟 Key\n",[207,26938,26939,26941,26944,26947,26950],{"class":209,"line":332},[207,26940,7512],{"class":213},[207,26942,26943],{"class":227}," -X",[207,26945,26946],{"class":217}," POST",[207,26948,26949],{"class":217}," http:\u002F\u002Flocalhost:4000\u002Fkey\u002Fgenerate",[207,26951,341],{"class":227},[207,26953,26954,26957,26960,26963,26965],{"class":209,"line":344},[207,26955,26956],{"class":227},"  -H",[207,26958,26959],{"class":217}," \"Authorization: Bearer ",[207,26961,26962],{"class":234},"$LITELLM_MASTER_KEY",[207,26964,17569],{"class":217},[207,26966,341],{"class":227},[207,26968,26969,26972],{"class":209,"line":355},[207,26970,26971],{"class":227},"  -d",[207,26973,26974],{"class":217}," '{\"models\":[\"gpt-5.4\",\"claude-sonnet-4.6\"],\"max_budget\":100}'\n",[207,26976,26977],{"class":209,"line":1669},[207,26978,254],{"emptyLinePlaceholder":253},[207,26980,26981],{"class":209,"line":1675},[207,26982,26983],{"class":260},"# 业务方调用\n",[207,26985,26986,26988,26991],{"class":209,"line":1681},[207,26987,7512],{"class":213},[207,26989,26990],{"class":217}," http:\u002F\u002Flocalhost:4000\u002Fv1\u002Fchat\u002Fcompletions",[207,26992,341],{"class":227},[207,26994,26995,26997,27000],{"class":209,"line":1686},[207,26996,26956],{"class":227},[207,26998,26999],{"class":217}," \"Authorization: Bearer sk-xxx\"",[207,27001,341],{"class":227},[207,27003,27004,27006],{"class":209,"line":2956},[207,27005,26971],{"class":227},[207,27007,27008],{"class":217}," '{\"model\":\"gpt-5.4\",\"messages\":[...]}'\n",[21,27010,364],{"id":364},[366,27012,27013,27029],{},[369,27014,27015],{},[372,27016,27017,27019,27021,27024,27027],{},[375,27018,377],{},[375,27020,26650],{},[375,27022,27023],{},"OpenRouter",[375,27025,27026],{},"One-API",[375,27028,25017],{},[390,27030,27031,27045,27057,27069,27085,27098,27112,27127,27141],{},[372,27032,27033,27035,27038,27041,27043],{},[395,27034,2367],{},[395,27036,27037],{},"OSS + Enterprise",[395,27039,27040],{},"SaaS",[395,27042,18201],{},[395,27044,27040],{},[372,27046,27047,27049,27051,27053,27055],{},[395,27048,1891],{},[395,27050,8343],{},[395,27052,437],{},[395,27054,8343],{},[395,27056,437],{},[372,27058,27059,27061,27063,27065,27067],{},[395,27060,7433],{},[395,27062,1100],{},[395,27064,426],{},[395,27066,1100],{},[395,27068,833],{},[372,27070,27071,27073,27076,27079,27082],{},[395,27072,4197],{},[395,27074,27075],{},"100+",[395,27077,27078],{},"300+",[395,27080,27081],{},"30+",[395,27083,27084],{},"250+",[372,27086,27087,27090,27092,27094,27096],{},[395,27088,27089],{},"虚拟 Key + 预算",[395,27091,1100],{},[395,27093,437],{},[395,27095,1100],{},[395,27097,1100],{},[372,27099,27100,27103,27106,27108,27110],{},[395,27101,27102],{},"Fallback",[395,27104,27105],{},"✅ 三类",[395,27107,1100],{},[395,27109,1100],{},[395,27111,1100],{},[372,27113,27114,27117,27119,27122,27125],{},[395,27115,27116],{},"admin UI",[395,27118,12077],{},[395,27120,27121],{},"dashboard",[395,27123,27124],{},"✅ 中文 UI",[395,27126,1100],{},[372,27128,27129,27132,27134,27136,27139],{},[395,27130,27131],{},"中文支付",[395,27133,426],{},[395,27135,426],{},[395,27137,27138],{},"✅ EPay 内置",[395,27140,426],{},[372,27142,27143,27146,27149,27151,27154],{},[395,27144,27145],{},"集成观测",[395,27147,27148],{},"Langfuse\u002FProm",[395,27150,27121],{},[395,27152,27153],{},"仪表盘",[395,27155,27156],{},"原生",[21,27158,521],{"id":521},[36,27160,27161,27169,27175,27181,27187,27197,27203,27217],{},[39,27162,27163,5072,27166,27168],{},[42,27164,27165],{},"必固定版本号",[204,27167,26824],{}," \u002F 滚动 tag 在 2026-03 供应链事件后已是禁忌；用带签名验证的具体版本（如 v1.85.0）",[39,27170,27171,27174],{},[42,27172,27173],{},"salt_key 不能轮换","：初始化前生成 + 加密备份",[39,27176,27177,27180],{},[42,27178,27179],{},"Postgres 备份","：所有虚拟 Key + 预算都在 DB，必须定期备份",[39,27182,27183,27186],{},[42,27184,27185],{},"fallback 链别堆超 3 个","：失败叠加延迟 + 计费混乱",[39,27188,27189,27192,27193,27196],{},[42,27190,27191],{},"drop_params 谨慎开","：开 ",[204,27194,27195],{},"drop_params: true"," 会静默丢不兼容字段，调试时容易 confused",[39,27198,27199,27202],{},[42,27200,27201],{},"PII guardrail 不是 0 延迟","：Presidio 调用增 50–100ms，敏感场景再用",[39,27204,27205,27208,27209,27212,27213,27216],{},[42,27206,27207],{},"monorepo + workspace 模型映射","：业务方调 ",[204,27210,27211],{},"gpt-4"," → config 映射到 ",[204,27214,27215],{},"openai\u002Fgpt-5.4-mini","，要规划稳定映射表",[39,27218,27219,27222],{},[42,27220,27221],{},"国内自托管","：BYOK Key 走海外 API 仍然受网络影响，需要部署在能直连厂商的节点",[21,27224,575],{"id":574},[36,27226,27227,27230,27233,27236,27239,27242,27245,27248],{},[39,27228,27229],{},"✅ 中大型团队 \u002F 微服务架构",[39,27231,27232],{},"✅ 合规 \u002F 数据主权要求",[39,27234,27235],{},"✅ 多团队预算治理",[39,27237,27238],{},"✅ 想叠加 Langfuse \u002F Helicone \u002F Prometheus 观测",[39,27240,27241],{},"✅ BYOK 模式跨多厂商",[39,27243,27244],{},"❌ 不想运维（走 OpenRouter \u002F Portkey）",[39,27246,27247],{},"❌ 国内业务支付 + 中文运营（走 one-api \u002F new-api）",[39,27249,27250],{},"❌ 纯个人项目（SDK 足够，不需要 Proxy）",[21,27252,604],{"id":604},[36,27254,27255,27259,27263,27267],{},[39,27256,27257],{},[610,27258,25965],{"href":25964},[39,27260,27261],{},[610,27262,25971],{"href":25970},[39,27264,27265],{},[610,27266,25251],{"href":25250},[39,27268,27269],{},[610,27270,25245],{"href":25244},[21,27272,628],{"id":628},[630,27274,27275,27282,27289,27296],{},[39,27276,27277,27278],{},"NerdLevelTech — LiteLLM Proxy Production Tutorial 2026（含 v1.85.0 + 供应链事件细节）",[610,27279,27280],{"href":27280,"rel":27281},"https:\u002F\u002Fnerdleveltech.com\u002Flitellm-proxy-production-llm-gateway-tutorial",[639],[39,27283,27284,27285],{},"LiteLLM 官方文档 — Fallbacks \u002F Retries \u002F Cooldowns ",[610,27286,27287],{"href":27287,"rel":27288},"https:\u002F\u002Fdocs.litellm.ai\u002Fdocs\u002Fproxy\u002Freliability",[639],[39,27290,27291,27292],{},"Youngju.dev — LiteLLM Complete Guide 2026（SDK vs Proxy \u002F cost-based routing）",[610,27293,27294],{"href":27294,"rel":27295},"https:\u002F\u002Fwww.youngju.dev\u002Fblog\u002Fculture\u002F2026-03-25-litellm-unified-llm-api-proxy-guide-2025.en",[639],[39,27297,27298,27299],{},"GitHub — BerriAI\u002Flitellm README ",[610,27300,27301],{"href":27301,"rel":27302},"https:\u002F\u002Fgithub.com\u002FBerriAI\u002Flitellm",[639],[662,27304,27305],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":27307},[27308,27309,27310,27311,27312,27313,27314,27315,27316,27317],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":26784,"depth":224,"text":26785},{"id":26844,"depth":224,"text":26845},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Flitellm.webp","LiteLLM 真实评测：MIT 开源 LLM 网关，BerriAI 维护。SDK 模式（pip install litellm）+ Proxy 模式（Docker Compose 自托管）双形态，100+ 厂商统一 OpenAI 接口，虚拟 Key + 团队预算 + 三类 fallback + 成本追踪 + 内置 UI。2026-03 经历供应链事件后 v1.83+ 强化签名 + 镜像验证，生产请固定版本号。",[27321,27324,27327,27330],{"q":27322,"a":27323},"SDK 和 Proxy 模式区别？","SDK 模式（`from litellm import completion`）直接在 Python 里调，适合个人项目 \u002F 单服务。Proxy 模式启动一个 HTTP 服务（默认 4000 端口）+ Postgres，所有应用通过 OpenAI 兼容 endpoint 调用，支持虚拟 Key \u002F 团队 \u002F 预算 \u002F 配额 \u002F admin UI——团队 \u002F 多语言客户端 \u002F 生产建议走 Proxy。",{"q":27325,"a":27326},"Fallback 有几种？","三类：(1) general fallback——5xx\u002F429 错误切到备用模型；(2) content policy fallback——内容审查拒绝时切；(3) context window fallback——输入超 context 切大窗口模型（比如超 GPT-4 32k 自动切 Claude 200k）。可叠加 num_retries \u002F cooldown \u002F timeout 做完整 SRE 策略。",{"q":27328,"a":27329},"2026-03 供应链事件是什么？","2026-03-24 PyPI 上的 v1.82.7 \u002F v1.82.8 在被替换约 40 分钟内可能植入 Trivy CI token 外泄代码。BerriAI 在 v1.83+ 强化签名 + 镜像验证，生产部署务必固定到带签名验证的版本（如 v1.85.0），不要用 `:latest` tag。",{"q":27331,"a":27332},"和 OpenRouter 怎么选？","OpenRouter = SaaS（不用自己运维 + 直接付钱）；LiteLLM = OSS 自托管（自付服务器 + 完全控制数据 + BYOK 所有 Key）。中大型团队 \u002F 合规 \u002F 长期成本敏感 \u002F 自建 → LiteLLM Proxy；小团队 \u002F 不想运维 \u002F 快速迭代 → OpenRouter。",[697],{},[18029,26080,2861,27336],"kubernetes",[27338,27343],{"plan":27339,"price":27340,"features":27341,"notes":27342},"Open Source","$0（MIT）","SDK + Proxy + Postgres 虚拟 Key + 预算 + fallback + admin UI + 100+ providers","完全自托管，模型 \u002F 平台费走自付",{"plan":833,"price":716,"features":27344,"notes":27345},"SSO \u002F SAML + Audit + JWT auth + 高级路由 + SLA + on-prem 部署支持","联系 BerriAI 销售","MIT 开源免费 \u002F Enterprise SaaS 定制",[25341],[27349],"llm-gateway-comparison",{"power":264,"ux":257,"price":264,"cn_support":250,"stability":257},{"title":26650,"description":27319},"LiteLLM 评测 2026：开源 LLM 网关，100+ 厂商统一 OpenAI 接口",[27354,27356,27358,27360],{"name":27355,"url":27280,"accessed":732},"NerdLevelTech — LiteLLM Proxy 生产教程 2026",{"name":27357,"url":27287,"accessed":732},"LiteLLM 官方文档 — Fallbacks",{"name":27359,"url":27294,"accessed":732},"Youngju.dev — LiteLLM Complete Guide 2026",{"name":27361,"url":27301,"accessed":732},"GitHub — BerriAI\u002Flitellm","tools\u002Fcoding\u002Fapi\u002Flitellm","MIT 开源 LLM 网关——SDK + Proxy 双形态，100+ 厂商统一 OpenAI 接口 + 虚拟 Key + 团队预算",[27365,26080,18029,745,3371,17879,27366,22956],"llm-gateway","virtual-keys","想要『SaaS 体验 + 完全自托管』的开源 LLM 网关首选。组合『LiteLLM 网关 + Helicone\u002FLangfuse 观测』在中大型 dev org 是黄金组合。中文中转 + 业务支付走 one-api。","https:\u002F\u002Fwww.litellm.ai","lPcnAKqeWqMmusxJPPJHbUrv5ILkQuJsxwf_F338Mes",{"id":27371,"title":27026,"alternatives":27372,"api_compatible":16,"body":27373,"category":18028,"chinese_friendly":264,"cover":27974,"description":27975,"domestic":680,"extension":681,"faq":27976,"free":680,"github":16,"languages":27988,"lastVerified":16,"meta":27989,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":25970,"pillar":22297,"platforms":27990,"priceTable":27991,"pricing":27464,"published":720,"relatedPlaybooks":28000,"relatedReviews":16,"score":28002,"self_host":253,"seo":28003,"seoTitle":28004,"slug":25370,"sources":28005,"stem":28014,"suitable":16,"tagline":28015,"tags":28016,"updated":732,"verdict":28018,"website":27951,"__hash__":28019},"tools\u002Ftools\u002Fcoding\u002Fapi\u002Fone-api.md",[24698,25369,24697,24696],{"type":18,"value":27374,"toc":27962},[27375,27377,27383,27386,27388,27456,27458,27472,27477,27481,27485,27510,27514,27540,27544,27657,27659,27821,27823,27878,27880,27908,27910,27928,27930,27960],[21,27376,24],{"id":23},[26,27378,27379,27380,27382],{},"One-API 是国内最流行的开源 LLM API 网关——JustSong 用 Go 写的 OpenAI 兼容代理，GitHub 18K+ Star，",[204,27381,18229],{}," 一行起一个能用的 AI API 平台。30+ 厂商（海外 + 国内全覆盖）统一 OpenAI 格式，内置中文 UI + Key 管理 + 渠道分组 + 负载均衡 + 额度系统 + 邀请返佣。衍生项目 new-api（QuantumNous）增强多租户、缓存独立计费、内置 EPay \u002F Stripe 支付、Claude \u002F Gemini 原生格式、多种登录方式——已成为商业化中转站的事实底座。",[26,27384,27385],{},"适合：国内个人 \u002F 小团队自建 LLM 网关 + 多账号轮询；企业内部统一多厂商 API 入口 + 中文运营；学习 LLM 网关架构。不适合：微服务架构 \u002F 多语言客户端（走 LiteLLM）；不想运维（走 OpenRouter \u002F Portkey）；向中国境内公众提供未备案服务（违法）。",[21,27387,34],{"id":34},[36,27389,27390,27396,27402,27408,27414,27420,27426,27432,27438,27444,27450],{},[39,27391,27392,27395],{},[42,27393,27394],{},"30+ 厂商","：OpenAI \u002F Claude \u002F Gemini \u002F Mistral \u002F Groq \u002F xAI；DeepSeek \u002F 通义 \u002F 文心 \u002F 讯飞 \u002F 智谱 \u002F 豆包 \u002F Moonshot \u002F 百川 \u002F MiniMax \u002F 零一万物 \u002F 阶跃星辰；Ollama \u002F Cloudflare Workers AI 等",[39,27397,27398,27401],{},[42,27399,27400],{},"Key 管理","：生成 \u002F 分发 \u002F 过期 \u002F 额度控制",[39,27403,27404,27407],{},[42,27405,27406],{},"渠道分组","：批量创建 \u002F 分组 \u002F 模型映射",[39,27409,27410,27413],{},[42,27411,27412],{},"负载均衡","：多 Key 轮询 + 失败自动重试",[39,27415,27416,27419],{},[42,27417,27418],{},"额度系统","：用户额度 \u002F 兑换码 \u002F 邀请返佣",[39,27421,27422,27425],{},[42,27423,27424],{},"日志监控","：请求日志 \u002F 额度明细 \u002F 报警",[39,27427,27428,27431],{},[42,27429,27430],{},"权限控制","：IP 白名单 \u002F Token 分组 \u002F 模型限制",[39,27433,27434,27437],{},[42,27435,27436],{},"多输出格式","：OpenAI \u002F Claude \u002F Gemini 原生（new-api）",[39,27439,27440,27443],{},[42,27441,27442],{},"多登录方式","：邮箱 \u002F GitHub \u002F 飞书；new-api 加 Discord \u002F Telegram \u002F LinuxDO \u002F OIDC",[39,27445,27446,27449],{},[42,27447,27448],{},"Docker 一键部署","：SQLite（小规模）\u002F MySQL（生产）",[39,27451,27452,27455],{},[42,27453,27454],{},"多语言 UI","：中文 \u002F 英文 \u002F 日文",[21,27457,108],{"id":108},[36,27459,27460,27466,27469],{},[39,27461,27462,27465],{},[42,27463,27464],{},"MIT 开源免费","，自托管成本 = 1 台 VPS（最小 1 核 1G 跑 SQLite 版）",[39,27467,27468],{},"上游模型成本走各厂商直接结算",[39,27470,27471],{},"new-api 内置 EPay \u002F Stripe 支付，可对接支付宝当面付 \u002F 微信支付（自行二开）",[130,27473,27474],{},[26,27475,27476],{},"部署起步：阿里云 \u002F 腾讯云轻量 1 核 1G 月 ¥30，配 Cloudflare CDN 全套月不到 ¥50。",[21,27478,27480],{"id":27479},"实测5-人创业团队-内部统一-api-入口","实测（5 人创业团队 + 内部统一 API 入口）",[26,27482,27483],{},[42,27484,143],{},[36,27486,27487,27492,27495,27498,27501,27504,27507],{},[39,27488,27489,27491],{},[204,27490,18229],{}," 一行 5 分钟拉起 + 中文 UI 上手 0 摩擦",[39,27493,27494],{},"多 Key 轮询解决 OpenAI \u002F Anthropic 单 Key 限流",[39,27496,27497],{},"国内模型全 + 统一 OpenAI 接口，业务代码 0 修改切换",[39,27499,27500],{},"额度系统给每人发 token，成本归因清晰",[39,27502,27503],{},"new-api 仪表盘 + 缓存计费让 prompt caching 优化看得见",[39,27505,27506],{},"new-api 内置 EPay 支付对 B2B 中转站很方便",[39,27508,27509],{},"二次开发简单：Go 单仓 + 前端 React，加渠道 \u002F 改 logo 都不难",[26,27511,27512],{},[42,27513,168],{},[36,27515,27516,27519,27522,27525,27528,27531,27534,27537],{},[39,27517,27518],{},"默认账号 root \u002F 123456 不改是大坑，公网暴露 = 资产被滥用",[39,27520,27521],{},"SQLite 版只适合个人 \u002F \u003C10 用户，团队 \u002F 生产必须 MySQL",[39,27523,27524],{},"文档以中文 README 为主，国际化弱",[39,27526,27527],{},"原版 one-api 缺多租户 + 缓存计费 + 仪表盘，生产几乎都得切 new-api",[39,27529,27530],{},"上游模型轮询时单点失败重试策略不如 LiteLLM 三类 fallback 细",[39,27532,27533],{},"高并发场景需要 Redis 配合做限流",[39,27535,27536],{},"部分上游厂商接口变更后需手动跟进升级",[39,27538,27539],{},"合规：未备案对外服务面临监管风险，企业内部用没问题",[21,27541,27543],{"id":27542},"上手new-api-推荐","上手（new-api 推荐）",[197,27545,27547],{"className":199,"code":27546,"language":201,"meta":202,"style":202},"# MySQL 生产版\ndocker run --name new-api -d --restart always -p 3000:3000 \\\n  -e SQL_DSN=\"root:pass@tcp(host:3306)\u002Fnewapi\" \\\n  -e TZ=Asia\u002FShanghai \\\n  -v $PWD\u002Fdata:\u002Fdata \\\n  calciumion\u002Fnew-api:latest\n\n# 访问 http:\u002F\u002Flocalhost:3000\n# 1. 改 root 密码 + 关注册 + 加 IP 白名单\n# 2. 渠道管理 → 添加上游（OpenAI \u002F Anthropic \u002F DeepSeek Key）\n# 3. 设模型映射 + 倍率\n# 4. 用户管理 → 生成 token 给业务方\n# 5. 业务方调用：\n#    baseURL = https:\u002F\u002Fyour-domain\u002Fv1\n#    api_key = sk-xxx-from-newapi\n",[204,27548,27549,27554,27579,27588,27597,27608,27613,27617,27622,27627,27632,27637,27642,27647,27652],{"__ignoreMap":202},[207,27550,27551],{"class":209,"line":210},[207,27552,27553],{"class":260},"# MySQL 生产版\n",[207,27555,27556,27558,27560,27562,27565,27567,27570,27572,27574,27577],{"class":209,"line":224},[207,27557,2861],{"class":213},[207,27559,2864],{"class":217},[207,27561,2870],{"class":227},[207,27563,27564],{"class":217}," new-api",[207,27566,2867],{"class":227},[207,27568,27569],{"class":227}," --restart",[207,27571,15751],{"class":217},[207,27573,15091],{"class":227},[207,27575,27576],{"class":217}," 3000:3000",[207,27578,341],{"class":227},[207,27580,27581,27583,27586],{"class":209,"line":250},[207,27582,15708],{"class":227},[207,27584,27585],{"class":217}," SQL_DSN=\"root:pass@tcp(host:3306)\u002Fnewapi\"",[207,27587,341],{"class":227},[207,27589,27590,27592,27595],{"class":209,"line":257},[207,27591,15708],{"class":227},[207,27593,27594],{"class":217}," TZ=Asia\u002FShanghai",[207,27596,341],{"class":227},[207,27598,27599,27601,27603,27606],{"class":209,"line":264},[207,27600,2880],{"class":227},[207,27602,18316],{"class":234},[207,27604,27605],{"class":217},"\u002Fdata:\u002Fdata",[207,27607,341],{"class":227},[207,27609,27610],{"class":209,"line":276},[207,27611,27612],{"class":217},"  calciumion\u002Fnew-api:latest\n",[207,27614,27615],{"class":209,"line":281},[207,27616,254],{"emptyLinePlaceholder":253},[207,27618,27619],{"class":209,"line":287},[207,27620,27621],{"class":260},"# 访问 http:\u002F\u002Flocalhost:3000\n",[207,27623,27624],{"class":209,"line":321},[207,27625,27626],{"class":260},"# 1. 改 root 密码 + 关注册 + 加 IP 白名单\n",[207,27628,27629],{"class":209,"line":326},[207,27630,27631],{"class":260},"# 2. 渠道管理 → 添加上游（OpenAI \u002F Anthropic \u002F DeepSeek Key）\n",[207,27633,27634],{"class":209,"line":332},[207,27635,27636],{"class":260},"# 3. 设模型映射 + 倍率\n",[207,27638,27639],{"class":209,"line":344},[207,27640,27641],{"class":260},"# 4. 用户管理 → 生成 token 给业务方\n",[207,27643,27644],{"class":209,"line":355},[207,27645,27646],{"class":260},"# 5. 业务方调用：\n",[207,27648,27649],{"class":209,"line":1669},[207,27650,27651],{"class":260},"#    baseURL = https:\u002F\u002Fyour-domain\u002Fv1\n",[207,27653,27654],{"class":209,"line":1675},[207,27655,27656],{"class":260},"#    api_key = sk-xxx-from-newapi\n",[21,27658,364],{"id":364},[366,27660,27661,27676],{},[369,27662,27663],{},[372,27664,27665,27667,27669,27672,27674],{},[375,27666,377],{},[375,27668,27026],{},[375,27670,27671],{},"new-api",[375,27673,26650],{},[375,27675,27023],{},[390,27677,27678,27692,27706,27719,27734,27748,27762,27777,27791,27806],{},[372,27679,27680,27683,27686,27688,27690],{},[395,27681,27682],{},"语言",[395,27684,27685],{},"Go",[395,27687,27685],{},[395,27689,20134],{},[395,27691,437],{},[372,27693,27694,27697,27699,27701,27704],{},[395,27695,27696],{},"多租户",[395,27698,426],{},[395,27700,1100],{},[395,27702,27703],{},"✅ (Enterprise)",[395,27705,426],{},[372,27707,27708,27711,27713,27715,27717],{},[395,27709,27710],{},"缓存独立计费",[395,27712,426],{},[395,27714,1100],{},[395,27716,437],{},[395,27718,437],{},[372,27720,27721,27724,27726,27729,27731],{},[395,27722,27723],{},"内置支付",[395,27725,426],{},[395,27727,27728],{},"EPay \u002F Stripe",[395,27730,426],{},[395,27732,27733],{},"❌（卡 + USDC）",[372,27735,27736,27739,27742,27744,27746],{},[395,27737,27738],{},"中文支付二开",[395,27740,27741],{},"✅ 易",[395,27743,27741],{},[395,27745,437],{},[395,27747,437],{},[372,27749,27750,27753,27755,27757,27760],{},[395,27751,27752],{},"中文 UI",[395,27754,1100],{},[395,27756,1100],{},[395,27758,27759],{},"英文",[395,27761,27759],{},[372,27763,27764,27767,27770,27772,27774],{},[395,27765,27766],{},"国内模型覆盖",[395,27768,27769],{},"✅ 全",[395,27771,27769],{},[395,27773,440],{},[395,27775,27776],{},"中等",[372,27778,27779,27782,27784,27786,27788],{},[395,27780,27781],{},"Claude 原生格式",[395,27783,426],{},[395,27785,1100],{},[395,27787,1100],{},[395,27789,27790],{},"OpenAI 兼容",[372,27792,27793,27796,27799,27802,27804],{},[395,27794,27795],{},"GitHub Star",[395,27797,27798],{},"18K+",[395,27800,27801],{},"增长快",[395,27803,2461],{},[395,27805,437],{},[372,27807,27808,27811,27814,27816,27819],{},[395,27809,27810],{},"部署难度",[395,27812,27813],{},"⭐",[395,27815,27813],{},[395,27817,27818],{},"⭐⭐",[395,27820,437],{},[21,27822,521],{"id":521},[36,27824,27825,27830,27836,27842,27848,27854,27860,27866,27872],{},[39,27826,27827],{},[42,27828,27829],{},"第一件事改 root 密码 + 关公开注册 + 加 IP 白名单",[39,27831,27832,27835],{},[42,27833,27834],{},"生产用 MySQL 不要 SQLite","：SQLite 并发上千就吃力",[39,27837,27838,27841],{},[42,27839,27840],{},"加 Cloudflare CDN + WAF","：上游厂商风控会按出口 IP，扛不住会被拉黑",[39,27843,27844,27847],{},[42,27845,27846],{},"渠道倍率别贪 0.1","：太低用户烧得快 + 上游被你做穿",[39,27849,27850,27853],{},[42,27851,27852],{},"充值流水必须留痕","：EPay \u002F 自二开支付要符合发票 \u002F 反洗钱要求",[39,27855,27856,27859],{},[42,27857,27858],{},"算法备案","：对中国境内公众提供生成式 AI 服务必须备案，否则违法",[39,27861,27862,27865],{},[42,27863,27864],{},"上游条款","：OpenAI \u002F Anthropic \u002F 国内厂商基本都禁止未授权转售 API，自用 OK，商业化要拿合作授权",[39,27867,27868,27871],{},[42,27869,27870],{},"缓存计费 (new-api)","：开 prompt caching 后单价不同，账单要看明细",[39,27873,27874,27877],{},[42,27875,27876],{},"国内访问外网模型","：服务器要部署在能直连厂商的节点（如香港 \u002F 美西）+ 反向代理给国内用户",[21,27879,575],{"id":574},[36,27881,27882,27885,27888,27891,27894,27897,27900,27902,27905],{},[39,27883,27884],{},"✅ 国内个人 \u002F 小团队自建 LLM 网关",[39,27886,27887],{},"✅ 企业内部统一多厂商 API 入口",[39,27889,27890],{},"✅ 学习 LLM 网关架构 \u002F 二次开发",[39,27892,27893],{},"✅ 国内模型 + 海外模型混用",[39,27895,27896],{},"✅ 中文运营 + 国内支付",[39,27898,27899],{},"❌ 微服务 \u002F 多语言客户端（走 LiteLLM）",[39,27901,27244],{},[39,27903,27904],{},"❌ 向中国境内公众提供未备案服务（违法）",[39,27906,27907],{},"❌ 国际化产品 \u002F 多语言文档需求",[21,27909,604],{"id":604},[36,27911,27912,27916,27920,27924],{},[39,27913,27914],{},[610,27915,25257],{"href":25256},[39,27917,27918],{},[610,27919,25965],{"href":25964},[39,27921,27922],{},[610,27923,25251],{"href":25250},[39,27925,27926],{},[610,27927,25245],{"href":25244},[21,27929,628],{"id":628},[630,27931,27932,27939,27946,27953],{},[39,27933,27934,27935],{},"CSDN — One-API vs New-API 2026 选型与部署踩坑 ",[610,27936,27937],{"href":27937,"rel":27938},"https:\u002F\u002Fblog.csdn.net\u002Fofoxcoding\u002Farticle\u002Fdetails\u002F158886435",[639],[39,27940,27941,27942],{},"DeepSeek 社区 — 2026 LLM API 中转站技术全景（含 new-api 增强能力对比表）",[610,27943,27944],{"href":27944,"rel":27945},"https:\u002F\u002Fdevpress.csdn.net\u002Fv1\u002Farticle\u002Fdetail\u002F161060038",[639],[39,27947,27948,27949],{},"GitHub — songquanpeng\u002Fone-api ",[610,27950,27951],{"href":27951,"rel":27952},"https:\u002F\u002Fgithub.com\u002Fsongquanpeng\u002Fone-api",[639],[39,27954,27955,27956],{},"GitHub — QuantumNous\u002Fnew-api ",[610,27957,27958],{"href":27958,"rel":27959},"https:\u002F\u002Fgithub.com\u002FQuantumNous\u002Fnew-api",[639],[662,27961,3314],{},{"title":202,"searchDepth":250,"depth":250,"links":27963},[27964,27965,27966,27967,27968,27969,27970,27971,27972,27973],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":27479,"depth":224,"text":27480},{"id":27542,"depth":224,"text":27543},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fone-api.webp","One-API 真实评测：JustSong 维护的开源 LLM API 网关（GitHub 18K+ Star，Go 语言）。把 30+ 海内外厂商 API 统一成 OpenAI 格式，内置中文 UI + Key 管理 + 渠道分组 + 负载均衡 + 额度兑换 + IP 白名单 + 邀请返佣。`docker run` 一行起。衍生 new-api 增强多租户 \u002F 缓存计费 \u002F 内置 EPay 支付。",[27977,27980,27982,27985],{"q":27978,"a":27979},"One-API 和 new-api 怎么选？","个人 \u002F 小团队内部用：one-api 已够。要做面向 B2B \u002F 商业化 \u002F 中文支付：new-api 多租户 + EPay\u002FStripe + 缓存独立计费 + 仪表盘更专业。new-api 是 one-api 二次开发版本，在生产场景已经全面超越原版。",{"q":22910,"a":27981},"海外：OpenAI \u002F Anthropic Claude \u002F Google Gemini \u002F Mistral \u002F Groq \u002F Cohere \u002F xAI。国内：DeepSeek \u002F 通义千问 \u002F 文心一言 \u002F 讯飞星火 \u002F ChatGLM \u002F 豆包 \u002F 腾讯混元 \u002F 360 智脑 \u002F Moonshot \u002F 百川 \u002F MiniMax \u002F 零一万物 \u002F 阶跃星辰。本地：Ollama \u002F Cloudflare Workers AI。",{"q":27983,"a":27984},"默认密码记得改","Docker 拉起后默认账号 root \u002F 密码 123456。官方 README 已经反复警告但大量公开暴露的中转站连这一步都没做——上线前第一件事改密码 + 关注册 + 加 IP 白名单。",{"q":27986,"a":27987},"搭建中转站合规吗？","one-api \u002F new-api 本身是中立技术工具，合法场景：(1) 企业内部统一管理多厂商 API；(2) 个人学习研究；(3) 与上游签订正式合作的 B2B 服务。向中国境内公众提供生成式 AI 服务，依据《生成式人工智能服务管理暂行办法》必须完成算法备案 + 内容安全责任 + 投诉举报机制。未授权代理 \u002F 转售 OpenAI \u002F Anthropic API 违反上游条款。",[696,697],{},[2861,1350,1349],[27992,27996],{"plan":27993,"price":27340,"features":27994,"notes":27995},"one-api（原版）","30+ 厂商统一 OpenAI 格式 + Key 管理 + 渠道分组 + 负载均衡 + 额度系统 + 多语言 UI","songquanpeng\u002Fone-api",{"plan":27997,"price":707,"features":27998,"notes":27999},"new-api（增强版）","原版 + 多租户 + 缓存计费 + 内置 EPay\u002FStripe + Discord\u002FTelegram\u002FLinuxDO 登录 + Claude\u002FGemini 原生格式","QuantumNous\u002Fnew-api",[28001],"onboarding\u002Fclaude-code-getting-started",{"power":257,"ux":257,"price":264,"cn_support":264,"stability":257},{"title":27026,"description":27975},"One-API - 开源 LLM API 网关评测与部署 | AIHO",[28006,28008,28010,28012],{"name":28007,"url":27937,"accessed":732},"CSDN — One-API vs New-API 2026 选型与踩坑",{"name":28009,"url":27944,"accessed":732},"DeepSeek 社区 — 2026 LLM API 中转站技术全景",{"name":28011,"url":27951,"accessed":732},"GitHub — songquanpeng\u002Fone-api",{"name":28013,"url":27958,"accessed":732},"GitHub — QuantumNous\u002Fnew-api","tools\u002Fcoding\u002Fapi\u002Fone-api","国内最流行的开源 LLM 网关——Go + Docker 一键起，30+ 厂商统一 OpenAI 格式，中文 UI + 充值系统",[27365,745,3371,746,1622,28017,3367],"openai-compatible","国内开发者自建 LLM 网关首选——中文 UI + 国内模型全 + EPay 支付。海外团队 \u002F 多语言客户端 \u002F 微服务架构走 LiteLLM；面向中国境内公众提供服务需依法备案。","WggQ6PkcQpnbESyB0MczqOw8tiyJnDA1JLmfZLvUNc8",{"id":28021,"title":27023,"alternatives":28022,"api_compatible":16,"body":28023,"category":18028,"chinese_friendly":224,"cover":28478,"description":28479,"domestic":680,"extension":681,"faq":28480,"free":680,"github":16,"languages":28492,"lastVerified":16,"meta":28493,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":25964,"pillar":22297,"platforms":28494,"priceTable":28495,"pricing":28510,"published":720,"relatedPlaybooks":28511,"relatedReviews":28512,"score":28513,"self_host":680,"seo":28514,"seoTitle":28515,"slug":25369,"sources":28516,"stem":28525,"suitable":16,"tagline":28526,"tags":28527,"updated":732,"verdict":28530,"website":28531,"__hash__":28532},"tools\u002Ftools\u002Fcoding\u002Fapi\u002Fopenrouter.md",[24698,25370,24697,24696],{"type":18,"value":28024,"toc":28466},[28025,28027,28030,28033,28035,28108,28110,28138,28143,28147,28151,28168,28173,28197,28199,28231,28233,28343,28345,28383,28385,28414,28416,28434,28436],[21,28026,24],{"id":23},[26,28028,28029],{},"OpenRouter 是 AI API 聚合先驱——一个 OpenAI 兼容 endpoint + 一个 Key，调 60+ 厂商 300+ 模型，5M+ 用户。模型 passthrough 定价 0 markup，但充值有 5.5% 信用卡平台费（$0.80 最低）+ BYOK 月 100 万请求后 5%。自动 fallback \u002F playground \u002F 海量模型选型是杀手锏。国内直连延迟 1500–3000ms + 不支持支付宝是硬伤。",[26,28031,28032],{},"适合：海外开发者；多模型选型 \u002F 横评；生产 fallback 高可用；零迁移成本（OpenAI SDK 改 baseURL）。不适合：国内对延迟敏感的 AI 编程工具（用 OfoxAI \u002F 自建中转）；要支付宝 \u002F 微信 \u002F 银联；要 self-host（用 one-api \u002F LiteLLM）。",[21,28034,34],{"id":34},[36,28036,28037,28043,28052,28063,28073,28079,28084,28090,28096,28102],{},[39,28038,28039,28042],{},[42,28040,28041],{},"60+ 厂商 300+ 模型","：OpenAI \u002F Anthropic \u002F Google \u002F Meta \u002F DeepSeek \u002F MiniMax \u002F Mistral \u002F Cohere \u002F xAI \u002F NVIDIA \u002F Qwen \u002F 字节豆包 等",[39,28044,28045,5072,28048,28051],{},[42,28046,28047],{},"OpenAI 兼容 endpoint",[204,28049,28050],{},"https:\u002F\u002Fopenrouter.ai\u002Fapi\u002Fv1","，SDK 改 baseURL 即用",[39,28053,28054,5072,28057,28059,28060,2337],{},[42,28055,28056],{},"模型 ID 格式",[204,28058,26837],{},"（如 ",[204,28061,28062],{},"anthropic\u002Fclaude-sonnet-4.6",[39,28064,28065,28068,28069,28072],{},[42,28066,28067],{},"自动 fallback","：请求里列 ",[204,28070,28071],{},"models: [...]","，前者失败自动切后者",[39,28074,28075,28078],{},[42,28076,28077],{},"Playground","：5 模型并排测同 prompt + 成本 + 延迟 + 输出",[39,28080,28081,28083],{},[42,28082,22729],{},"：自带 OpenAI \u002F Anthropic Key，OpenRouter 只做网关；前 100 万 req\u002F月免费，超 5% fee",[39,28085,28086,28089],{},[42,28087,28088],{},"Passthrough 定价","：模型按厂商官方价",[39,28091,28092,28095],{},[42,28093,28094],{},"免费模型","：Llama 4 Scout \u002F DeepSeek V4 Flash \u002F Qwen3 Coder \u002F Gemma 3 等，每日 5\u002F200 次",[39,28097,28098,28101],{},[42,28099,28100],{},"Provider ranking \u002F SLA","：dashboard 看每家 provider 延迟 + 错误率",[39,28103,28104,28107],{},[42,28105,28106],{},"Rankings 页","：模型按 token 消耗排名（市场热度参考）",[21,28109,108],{"id":108},[36,28111,28112,28117,28123,28128,28133],{},[39,28113,28114,28116],{},[42,28115,843],{},"：$1 credit + 免费模型 5\u002F日 + 标准限流",[39,28118,28119,28122],{},[42,28120,28121],{},"Pay-as-you-go","：模型 passthrough + 5.5% 卡费（最低 $0.80）+ 充值 $5 后免费模型涨到 200\u002F日",[39,28124,28125,28127],{},[42,28126,867],{},"：$99\u002F月 + Priority routing + 99.9% SLA",[39,28129,28130,28132],{},[42,28131,833],{},"：Custom 专属基础设施",[39,28134,28135,28137],{},[42,28136,22729],{},"：前 100 万 req\u002F月免费，超出 5%",[130,28139,28140],{},[26,28141,28142],{},"实际总成本 ≈ 模型价 × (1 + 5.5%) + BYOK 5% × 月 >1M 部分。预算按 5–7% overhead 算。",[21,28144,28146],{"id":28145},"实测小型-saas-后端-海外节点","实测（小型 SaaS 后端 \u002F 海外节点）",[26,28148,28149],{},[42,28150,143],{},[36,28152,28153,28156,28159,28162,28165],{},[39,28154,28155],{},"5 分钟接入，OpenAI SDK 改两行配置",[39,28157,28158],{},"Playground 横评新模型省一大堆 boilerplate",[39,28160,28161],{},"自动 fallback 救命：Anthropic 4 小时宕机时应用零中断",[39,28163,28164],{},"模型 ID 提示器 + Rankings 看市场热度方便选型",[39,28166,28167],{},"海外节点延迟 300–600ms，CDN 体感好",[26,28169,28170],{},[42,28171,28172],{},"踩坑（国内）：",[36,28174,28175,28178,28181,28184,28191,28194],{},[39,28176,28177],{},"国内直连 1500–3000ms + 高峰超时率明显，Cursor \u002F Claude Code 高频调用体感糟",[39,28179,28180],{},"不支持支付宝 \u002F 微信 \u002F 银联，只 Visa\u002FMastercard \u002F USDC",[39,28182,28183],{},"信用卡费 5.5% 最低 $0.80，\u003C$15 充值实际打到 10%+",[39,28185,28186,28187,28190],{},"模型 ID 点号分隔（",[204,28188,28189],{},"claude-sonnet-4.6","）易跟连字符混",[39,28192,28193],{},"Claude Code 默认走 Anthropic 原生协议，OpenRouter 适配偶有不一致",[39,28195,28196],{},"「免费模型」rate limit 后可能静默切付费",[21,28198,936],{"id":936},[630,28200,28201,28204,28207,28210,28216,28222,28228],{},[39,28202,28203],{},"openrouter.ai → Google \u002F GitHub OAuth 注册",[39,28205,28206],{},"Keys → 创建 API Key（sk-or-xxx）",[39,28208,28209],{},"充值 $10+（Visa \u002F Mastercard \u002F USDC）→ 解锁更高免费配额",[39,28211,28212,28213],{},"代码：",[204,28214,28215],{},"OpenAI(baseURL='https:\u002F\u002Fopenrouter.ai\u002Fapi\u002Fv1', api_key=KEY)",[39,28217,28218,28219,28221],{},"模型用 ",[204,28220,26837],{}," 格式",[39,28223,28224,28225],{},"加 fallback：",[204,28226,28227],{},"extra_body={\"models\": [\"anthropic\u002Fclaude-sonnet-4.6\", \"openai\u002Fgpt-5.4\"]}",[39,28229,28230],{},"Playground 横评再批量切",[21,28232,364],{"id":364},[366,28234,28235,28249],{},[369,28236,28237],{},[372,28238,28239,28241,28243,28245,28247],{},[375,28240,377],{},[375,28242,27023],{},[375,28244,26650],{},[375,28246,27026],{},[375,28248,25017],{},[390,28250,28251,28264,28276,28288,28300,28312,28328],{},[372,28252,28253,28255,28257,28260,28262],{},[395,28254,2367],{},[395,28256,27040],{},[395,28258,28259],{},"OSS + SaaS",[395,28261,18201],{},[395,28263,27040],{},[372,28265,28266,28268,28270,28272,28274],{},[395,28267,4197],{},[395,28269,27078],{},[395,28271,27075],{},[395,28273,27081],{},[395,28275,27084],{},[372,28277,28278,28280,28282,28284,28286],{},[395,28279,7433],{},[395,28281,426],{},[395,28283,1100],{},[395,28285,1100],{},[395,28287,833],{},[372,28289,28290,28292,28294,28296,28298],{},[395,28291,27131],{},[395,28293,426],{},[395,28295,437],{},[395,28297,1100],{},[395,28299,437],{},[372,28301,28302,28304,28306,28308,28310],{},[395,28303,27102],{},[395,28305,1100],{},[395,28307,1100],{},[395,28309,1100],{},[395,28311,1100],{},[372,28313,28314,28317,28320,28323,28325],{},[395,28315,28316],{},"国内延迟",[395,28318,28319],{},"1500–3000ms",[395,28321,28322],{},"自托管自定",[395,28324,28322],{},[395,28326,28327],{},"海外为主",[372,28329,28330,28332,28335,28338,28340],{},[395,28331,5455],{},[395,28333,28334],{},"模型 + 5.5%\u002FBYOK 5%",[395,28336,28337],{},"自付服务器",[395,28339,28337],{},[395,28341,28342],{},"按 logs 计费",[21,28344,521],{"id":521},[36,28346,28347,28353,28359,28365,28371,28377],{},[39,28348,28349,28352],{},[42,28350,28351],{},"国内别裸用","：1500ms+ 起、超时率高，主链路上 OfoxAI \u002F 自建 one-api 中转，OpenRouter 当冷门模型补",[39,28354,28355,28358],{},[42,28356,28357],{},"预算多算 5–7%","：5.5% 信用卡 + BYOK 5% + 偶发汇率",[39,28360,28361,28364],{},[42,28362,28363],{},"免费模型生产慎用","：rate limit 后可能静默 fallback 付费，账单失控",[39,28366,28367,28370],{},[42,28368,28369],{},"模型 ID 格式坑","：点号 vs 连字符要测；新模型 ID 改名要监控",[39,28372,28373,28376],{},[42,28374,28375],{},"fallback 别堆太多","：5+ fallback 一次失败延迟叠加可能 10s+，前 2 个即可",[39,28378,28379,28382],{},[42,28380,28381],{},"Claude Code 原生模式建议直连","：OpenRouter 走 OpenAI 兼容协议有时与原生 Anthropic 协议有出入",[21,28384,575],{"id":574},[36,28386,28387,28390,28393,28396,28399,28402,28405,28408,28411],{},[39,28388,28389],{},"✅ 海外开发者 \u002F 跨境业务",[39,28391,28392],{},"✅ 多模型选型 \u002F 横评",[39,28394,28395],{},"✅ 生产 fallback 高可用",[39,28397,28398],{},"✅ 零迁移成本（OpenAI SDK 改 baseURL）",[39,28400,28401],{},"✅ BYOK 模式给团队统一 Key 管理",[39,28403,28404],{},"❌ 国内 AI 编程工具（Cursor \u002F Claude Code）高频调用",[39,28406,28407],{},"❌ 要支付宝 \u002F 微信 \u002F 银联",[39,28409,28410],{},"❌ Self-host \u002F 完全控制数据",[39,28412,28413],{},"❌ 极致低延迟实时应用",[21,28415,604],{"id":604},[36,28417,28418,28422,28426,28430],{},[39,28419,28420],{},[610,28421,25257],{"href":25256},[39,28423,28424],{},[610,28425,25971],{"href":25970},[39,28427,28428],{},[610,28429,25251],{"href":25250},[39,28431,28432],{},[610,28433,25245],{"href":25244},[21,28435,628],{"id":628},[630,28437,28438,28445,28452,28459],{},[39,28439,28440,28441],{},"OfoxAI — OpenRouter 完全指南 2026（国内延迟实测 + 替代方案）",[610,28442,28443],{"href":28443,"rel":28444},"https:\u002F\u002Fofox.ai\u002Fzh\u002Fblog\u002Fopenrouter-complete-guide-china-developers-2026",[639],[39,28446,28447,28448],{},"OfoxAI — OpenRouter Pricing 2026 Hidden Markup Breakdown ",[610,28449,28450],{"href":28450,"rel":28451},"https:\u002F\u002Fofox.ai\u002Fblog\u002Fopenrouter-pricing-hidden-markup-breakdown-2026\u002F",[639],[39,28453,28454,28455],{},"DigitalApplied — OpenRouter June 2026 New Models & Pricing Roundup ",[610,28456,28457],{"href":28457,"rel":28458},"https:\u002F\u002Fwww.digitalapplied.com\u002Fblog\u002Fopenrouter-new-models-june-2026-roundup-pricing-rankings",[639],[39,28460,28461,28462],{},"AIToolBox — OpenRouter Review 2026 ",[610,28463,28464],{"href":28464,"rel":28465},"https:\u002F\u002Fwww.aitoolbox.hk\u002Ftools\u002Fopen-router\u002F",[639],{"title":202,"searchDepth":250,"depth":250,"links":28467},[28468,28469,28470,28471,28472,28473,28474,28475,28476,28477],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":28145,"depth":224,"text":28146},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopenrouter.webp","OpenRouter 真实评测：AI API 聚合先驱，60+ 厂商 300+ 模型一个 OpenAI 兼容 endpoint。passthrough 定价 0 markup + 5.5% 信用卡平台费（$0.80 最低）+ BYOK 5% 月千万请求外。Pay-as-you-go \u002F Team $99\u002F月 SLA \u002F Enterprise。国内直连 1500–3000ms 高峰超时多。",[28481,28483,28486,28489],{"q":25323,"a":28482},"技术上能（OpenAI SDK 改 baseURL），但服务器在海外、无国内节点：实测首 Token 延迟代理 600–1200ms \u002F 直连 1500–3000ms 且不稳，高峰超时率高。AI 编程类高频调用（Cursor \u002F Claude Code \u002F Cline）国内体验糟糕，主流方案是用 OfoxAI \u002F 自建 one-api\u002Fnew-api 中转。",{"q":28484,"a":28485},"真的零 markup 吗？","模型本身按厂商官方价 passthrough，技术上 0 markup。但充值有两层平台费：信用卡 5.5%（最低 $0.80，小额充值实际打到 10–20%）、BYOK 月 100 万请求后 5%。预算时按上层多算 5–7%。",{"q":28487,"a":28488},"自动 fallback 怎么用？","请求里加 `models: ['anthropic\u002Fclaude-sonnet-4.6', 'openai\u002Fgpt-5.4']`，前者失败 \u002F 超时 \u002F 限流时自动切到后者。生产 24h+ 不间断 AI 服务几乎刚需——Anthropic 2026 年 5 月 4 小时宕机，用 fallback 的应用零中断。",{"q":28490,"a":28491},"免费模型怎么用？","模型列表筛选 $0 价（如 Llama 4 Scout \u002F DeepSeek V4 Flash \u002F Qwen3 Coder \u002F Gemma 3）。未充值每日 5 次，充 $5+ 涨到 200 次\u002F日，附带 20 req\u002Fmin。生产别依赖免费模型，限流 \u002F 排队 \u002F 暗切付费会让计费失控。",[697,696],{},[18028,18029],[28496,28499,28503,28507],{"plan":843,"price":707,"features":28497,"notes":28498},"$1 credit + 免费模型 5\u002F日 + 标准限流","不需要信用卡",{"plan":28121,"price":28500,"features":28501,"notes":28502},"Passthrough + 5.5% 卡费","300+ 模型 + 标准限流 + 充 $5 后免费模型 200\u002F日 + BYOK","信用卡平台费最低 $0.80",{"plan":867,"price":28504,"features":28505,"notes":28506},"$99\u002F月","Priority routing + 99.9% SLA + 更高限流","面向生产应用",{"plan":833,"price":716,"features":28508,"notes":28509},"专属基础设施 + 自定义合同","大规模生产","免费 $1 credit + 5\u002F日 → 200\u002F日（充 $5+） \u002F Pay-as-you-go passthrough + 5.5% 卡费 \u002F Team $99\u002F月 SLA \u002F Enterprise",[25341,28001],[27349],{"power":264,"ux":257,"price":257,"cn_support":224,"stability":257},{"title":27023,"description":28479},"OpenRouter 评测 2026：多模型 API 统一网关，对比各大 AI API",[28517,28519,28521,28523],{"name":28518,"url":28443,"accessed":732},"OfoxAI — OpenRouter 完全指南 2026",{"name":28520,"url":28450,"accessed":732},"OfoxAI — OpenRouter Pricing Hidden Markup",{"name":28522,"url":28457,"accessed":732},"DigitalApplied — OpenRouter June 2026 Roundup",{"name":28524,"url":28464,"accessed":732},"AIToolBox — OpenRouter Review 2026","tools\u002Fcoding\u002Fapi\u002Fopenrouter","AI API 聚合先驱——一个 Key + 一个 endpoint 调 300+ 模型，自动 fallback，OpenAI 兼容",[28528,28529,28017,17879,2153,22956],"api-gateway","aggregator","AI API 聚合的全球事实标准——300+ 模型 \u002F 一个 Key \u002F 自动 fallback。海外开发者首选；国内开发者延迟 1500–3000ms + 不支持支付宝是硬伤，主走 OfoxAI \u002F one-api 自建中转。","https:\u002F\u002Fopenrouter.ai","pc5ZNJB9xmKwAiAzBCr-JjF35aQPkc37A3rZxBWuxtQ",{"id":28534,"title":25017,"alternatives":28535,"api_compatible":16,"body":28536,"category":18028,"chinese_friendly":224,"cover":29252,"description":29253,"domestic":680,"extension":681,"faq":29254,"free":680,"github":16,"languages":29267,"lastVerified":16,"meta":29268,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":25250,"pillar":22297,"platforms":29269,"priceTable":29270,"pricing":29285,"published":720,"relatedPlaybooks":29286,"relatedReviews":29287,"score":29288,"self_host":253,"seo":29289,"seoTitle":29290,"slug":24697,"sources":29291,"stem":29299,"suitable":16,"tagline":29300,"tags":29301,"updated":732,"verdict":29303,"website":29304,"__hash__":29305},"tools\u002Ftools\u002Fcoding\u002Fapi\u002Fportkey.md",[24696,24698,25369,25370],{"type":18,"value":28537,"toc":29240},[28538,28540,28543,28546,28548,28638,28640,28669,28674,28678,28682,28702,28706,28728,28730,28924,28926,29103,29105,29155,29157,29186,29188,29206,29208,29237],[21,28539,24],{"id":23},[26,28541,28542],{},"Portkey 把 AI 网关（250+ 模型 + fallback + 路由 + 缓存）和 LLM 全栈观测（40+ 维度 + 成本归因 + tracing + auto-instrumentation）做成同一个 SaaS，再加 MCP Gateway 让 AI agent 工具调用可追溯——目标是中大型团队从 PoC 走向生产的『AI 控制面板』。2026 年 Palo Alto Networks 完成收购，附带 SOC2 Type 2 + HIPAA + GDPR + ISO 27001 合规背书。3000+ GenAI 团队使用，1T tokens\u002F天里程碑。",[26,28544,28545],{},"适合：从 PoC 走向生产的中大型团队；要 SOC2\u002FHIPAA\u002FHIPAA\u002FGDPR 强合规；多团队 RBAC + budgets + 治理；大规模 AI agent 部署需要 MCP 工具调用可追溯。不适合：深度 nested span tracing（用 Langfuse）；纯网关不要观测（用 LiteLLM）；中文支付 \u002F 中文 UI（用 one-api \u002F new-api）；预算极紧的小项目（10K log 免费 + Pro $79 但深度有限，Helicone 同档更轻）。",[21,28547,34],{"id":34},[36,28549,28550,28556,28562,28568,28573,28579,28585,28590,28596,28601,28607,28612,28617,28621,28627,28632],{},[39,28551,28552,28555],{},[42,28553,28554],{},"250+ 模型 unified API","：OpenAI \u002F Anthropic \u002F Google \u002F AWS Bedrock \u002F Azure \u002F Cohere \u002F 等",[39,28557,28558,28561],{},[42,28559,28560],{},"Fallback \u002F Load Balancing \u002F Conditional Routing","：跨 provider 高可用",[39,28563,28564,28567],{},[42,28565,28566],{},"Semantic + simple caching","：减延迟 + 降成本",[39,28569,28570,26721],{},[42,28571,28572],{},"Retries \u002F circuit breakers",[39,28574,28575,28578],{},[42,28576,28577],{},"Full-stack Observability","：40+ 维度 logs \u002F traces \u002F metrics",[39,28580,28581,28584],{},[42,28582,28583],{},"OpenTelemetry 兼容","：导出到现有 APM",[39,28586,28587,28589],{},[42,28588,26405],{},"：跨 LLM call + tool use 统一时序视图",[39,28591,28592,28595],{},[42,28593,28594],{},"Auto-instrumentation","：自动埋点多个 LLM \u002F agent 框架",[39,28597,28598],{},[42,28599,28600],{},"Prompt management + templates",[39,28602,28603,28606],{},[42,28604,28605],{},"MCP Gateway（GA）","：AI agent 工具调用统一访问 + 审计",[39,28608,28609],{},[42,28610,28611],{},"RBAC + SSO\u002FSAML + Audit",[39,28613,28614],{},[42,28615,28616],{},"Hierarchical budgets + rate limits",[39,28618,28619],{},[42,28620,26741],{},[39,28622,28623,28626],{},[42,28624,28625],{},"Compliance","：SOC2 Type 2 \u002F HIPAA \u002F GDPR \u002F ISO 27001（Enterprise）",[39,28628,28629,28631],{},[42,28630,14661],{},"：SaaS \u002F 私有云 \u002F VPC \u002F on-prem（Enterprise）",[39,28633,28634,28637],{},[42,28635,28636],{},"Open Source Gateway","：MIT 协议，可自托管纯路由层",[21,28639,108],{"id":108},[36,28641,28642,28648,28654,28659,28664],{},[39,28643,28644,28647],{},[42,28645,28646],{},"Developer Free","：10K logs\u002F月 + 3 天 retention + 基础功能",[39,28649,28650,28653],{},[42,28651,28652],{},"Production","：$49\u002F月（早期媒体引用 $79 已下调）+ 100K logs + $9\u002F100K 超量（最高 3M）+ 30 天 retention + 语义缓存 + RBAC + Guardrails",[39,28655,28656,28658],{},[42,28657,867],{},"：联系销售（更高 log 配额 + 团队治理 + 更长 retention）",[39,28660,28661,28663],{},[42,28662,833],{},"：Custom（业界估 $5K–$10K+\u002F月）+ 10M+ logs + 自定义 retention + 全套合规 + SSO + 私有云",[39,28665,28666,28668],{},[42,28667,28636],{},"：$0 自托管 MIT",[130,28670,28671],{},[26,28672,28673],{},"真实成本陷阱：超过 Production 100K logs 后 $9\u002F100K 累计快，月 1M 请求 ≈ $49 + 9 × 9 ≈ $130。",[21,28675,28677],{"id":28676},"实测中型-saas-series-b-团队","实测（中型 SaaS \u002F Series B 团队）",[26,28679,28680],{},[42,28681,143],{},[36,28683,28684,28687,28690,28693,28696,28699],{},[39,28685,28686],{},"2 分钟改 baseURL 接入，立即看到所有 LLM 调用",[39,28688,28689],{},"40+ 维度 dashboard 让 FinOps 团队第一次能拍预算",[39,28691,28692],{},"conditional routing 让『便宜模型先试 + 失败 fallback 贵模型』容易实现",[39,28694,28695],{},"MCP Gateway 给团队的 agent 工具调用上了治理",[39,28697,28698],{},"SOC 2 Type 2 + HIPAA 让合规过审快",[39,28700,28701],{},"Auto-instrumentation 帮 LangChain \u002F LlamaIndex 应用零代码改造",[26,28703,28704],{},[42,28705,168],{},[36,28707,28708,28711,28714,28717,28720,28722,28725],{},[39,28709,28710],{},"按 recorded logs 计费让用量突增时账单失控",[39,28712,28713],{},"Tracing 深度不如 Langfuse 的 nested span（复杂 agent 调试不够）",[39,28715,28716],{},"模型价格表对部分模型不全 \u002F air-gapped 部署需手动维护",[39,28718,28719],{},"文档对高级配置存在 gap，社区反馈一致",[39,28721,25547],{},[39,28723,28724],{},"log retention 30 天上限不动 Enterprise 解决",[39,28726,28727],{},"PANW 收购后路线图 \u002F 定价变动是评估风险",[21,28729,936],{"id":936},[197,28731,28733],{"className":17410,"code":28732,"language":335,"meta":202,"style":202},"from portkey_ai import Portkey\n\nclient = Portkey(\n    api_key=\"YOUR_PORTKEY_KEY\",\n    virtual_key=\"OPENAI_VIRTUAL_KEY\",\n    config={\n        \"strategy\": {\"mode\": \"fallback\"},\n        \"targets\": [\n            {\"virtual_key\": \"OPENAI_VK\"},\n            {\"virtual_key\": \"ANTHROPIC_VK\"}\n        ],\n        \"cache\": {\"mode\": \"semantic\"}\n    }\n)\n\nresp = client.chat.completions.create(\n    model=\"gpt-5.4\",\n    messages=[...]\n)\n# Portkey dashboard 自动看到完整 trace + cost + latency\n",[204,28734,28735,28747,28751,28760,28771,28783,28792,28811,28819,28834,28847,28852,28868,28872,28876,28880,28890,28902,28915,28919],{"__ignoreMap":202},[207,28736,28737,28739,28742,28744],{"class":209,"line":210},[207,28738,8868],{"class":306},[207,28740,28741],{"class":234}," portkey_ai ",[207,28743,8862],{"class":306},[207,28745,28746],{"class":234}," Portkey\n",[207,28748,28749],{"class":209,"line":224},[207,28750,254],{"emptyLinePlaceholder":253},[207,28752,28753,28755,28757],{"class":209,"line":250},[207,28754,25574],{"class":234},[207,28756,1647],{"class":306},[207,28758,28759],{"class":234}," Portkey(\n",[207,28761,28762,28764,28766,28769],{"class":209,"line":257},[207,28763,25595],{"class":17466},[207,28765,1647],{"class":306},[207,28767,28768],{"class":217},"\"YOUR_PORTKEY_KEY\"",[207,28770,995],{"class":234},[207,28772,28773,28776,28778,28781],{"class":209,"line":264},[207,28774,28775],{"class":17466},"    virtual_key",[207,28777,1647],{"class":306},[207,28779,28780],{"class":217},"\"OPENAI_VIRTUAL_KEY\"",[207,28782,995],{"class":234},[207,28784,28785,28788,28790],{"class":209,"line":276},[207,28786,28787],{"class":17466},"    config",[207,28789,1647],{"class":306},[207,28791,966],{"class":234},[207,28793,28794,28797,28800,28803,28805,28808],{"class":209,"line":281},[207,28795,28796],{"class":217},"        \"strategy\"",[207,28798,28799],{"class":234},": {",[207,28801,28802],{"class":217},"\"mode\"",[207,28804,989],{"class":234},[207,28806,28807],{"class":217},"\"fallback\"",[207,28809,28810],{"class":234},"},\n",[207,28812,28813,28816],{"class":209,"line":287},[207,28814,28815],{"class":217},"        \"targets\"",[207,28817,28818],{"class":234},": [\n",[207,28820,28821,28824,28827,28829,28832],{"class":209,"line":321},[207,28822,28823],{"class":234},"            {",[207,28825,28826],{"class":217},"\"virtual_key\"",[207,28828,989],{"class":234},[207,28830,28831],{"class":217},"\"OPENAI_VK\"",[207,28833,28810],{"class":234},[207,28835,28836,28838,28840,28842,28845],{"class":209,"line":326},[207,28837,28823],{"class":234},[207,28839,28826],{"class":217},[207,28841,989],{"class":234},[207,28843,28844],{"class":217},"\"ANTHROPIC_VK\"",[207,28846,1035],{"class":234},[207,28848,28849],{"class":209,"line":332},[207,28850,28851],{"class":234},"        ],\n",[207,28853,28854,28857,28859,28861,28863,28866],{"class":209,"line":344},[207,28855,28856],{"class":217},"        \"cache\"",[207,28858,28799],{"class":234},[207,28860,28802],{"class":217},[207,28862,989],{"class":234},[207,28864,28865],{"class":217},"\"semantic\"",[207,28867,1035],{"class":234},[207,28869,28870],{"class":209,"line":355},[207,28871,1025],{"class":234},[207,28873,28874],{"class":209,"line":1669},[207,28875,8976],{"class":234},[207,28877,28878],{"class":209,"line":1675},[207,28879,254],{"emptyLinePlaceholder":253},[207,28881,28882,28885,28887],{"class":209,"line":1681},[207,28883,28884],{"class":234},"resp ",[207,28886,1647],{"class":306},[207,28888,28889],{"class":234}," client.chat.completions.create(\n",[207,28891,28892,28895,28897,28900],{"class":209,"line":1686},[207,28893,28894],{"class":17466},"    model",[207,28896,1647],{"class":306},[207,28898,28899],{"class":217},"\"gpt-5.4\"",[207,28901,995],{"class":234},[207,28903,28904,28907,28909,28911,28913],{"class":209,"line":2956},[207,28905,28906],{"class":17466},"    messages",[207,28908,1647],{"class":306},[207,28910,17500],{"class":234},[207,28912,26355],{"class":227},[207,28914,1020],{"class":234},[207,28916,28917],{"class":209,"line":2964},[207,28918,8976],{"class":234},[207,28920,28921],{"class":209,"line":18436},[207,28922,28923],{"class":260},"# Portkey dashboard 自动看到完整 trace + cost + latency\n",[21,28925,364],{"id":364},[366,28927,28928,28942],{},[369,28929,28930],{},[372,28931,28932,28934,28936,28938,28940],{},[375,28933,377],{},[375,28935,25017],{},[375,28937,25014],{},[375,28939,10863],{},[375,28941,26650],{},[390,28943,28944,28960,28976,28988,29000,29014,29029,29043,29058,29073,29087],{},[372,28945,28946,28948,28951,28954,28957],{},[395,28947,2367],{},[395,28949,28950],{},"Gateway+Obs SaaS",[395,28952,28953],{},"Proxy Obs",[395,28955,28956],{},"SDK Tracing",[395,28958,28959],{},"OSS Gateway",[372,28961,28962,28965,28968,28970,28973],{},[395,28963,28964],{},"集成",[395,28966,28967],{},"改 baseURL（分钟）",[395,28969,28967],{},[395,28971,28972],{},"代码改造（小时）",[395,28974,28975],{},"自托管（小时）",[372,28977,28978,28980,28982,28984,28986],{},[395,28979,25750],{},[395,28981,2458],{},[395,28983,25049],{},[395,28985,25756],{},[395,28987,437],{},[372,28989,28990,28992,28994,28996,28998],{},[395,28991,25763],{},[395,28993,25093],{},[395,28995,426],{},[395,28997,426],{},[395,28999,1100],{},[372,29001,29002,29005,29008,29010,29012],{},[395,29003,29004],{},"Auto fallback",[395,29006,29007],{},"✅ chains",[395,29009,16970],{},[395,29011,426],{},[395,29013,1100],{},[372,29015,29016,29019,29021,29024,29026],{},[395,29017,29018],{},"Semantic caching",[395,29020,1100],{},[395,29022,29023],{},"proxy 级",[395,29025,426],{},[395,29027,29028],{},"Redis",[372,29030,29031,29034,29037,29039,29041],{},[395,29032,29033],{},"MCP Gateway",[395,29035,29036],{},"✅ GA",[395,29038,426],{},[395,29040,426],{},[395,29042,426],{},[372,29044,29045,29047,29050,29053,29056],{},[395,29046,25447],{},[395,29048,29049],{},"Enterprise \u002F OSS Gateway",[395,29051,29052],{},"Enterprise（已收购）",[395,29054,29055],{},"✅ 免费无限",[395,29057,1100],{},[372,29059,29060,29062,29065,29068,29071],{},[395,29061,22137],{},[395,29063,29064],{},"SOC2 + HIPAA + GDPR + ISO27001",[395,29066,29067],{},"SOC2 + HIPAA",[395,29069,29070],{},"SOC2",[395,29072,1100],{},[372,29074,29075,29077,29080,29082,29085],{},[395,29076,1152],{},[395,29078,29079],{},"$49\u002F月",[395,29081,26050],{},[395,29083,29084],{},"$29\u002F月",[395,29086,707],{},[372,29088,29089,29092,29095,29098,29101],{},[395,29090,29091],{},"免费配额",[395,29093,29094],{},"10K logs",[395,29096,29097],{},"10K req",[395,29099,29100],{},"50K events",[395,29102,437],{},[21,29104,521],{"id":521},[36,29106,29107,29113,29119,29125,29131,29137,29143,29149],{},[39,29108,29109,29112],{},[42,29110,29111],{},"按 logs 计费要设报警","：超量 $9\u002F100K 容易爆账单",[39,29114,29115,29118],{},[42,29116,29117],{},"PANW 收购变量","：评估时把定价 \u002F 路线图 \u002F API 变动写进风险",[39,29120,29121,29124],{},[42,29122,29123],{},"Tracing 不深够用就好","：复杂 agent 调试要叠 Langfuse",[39,29126,29127,29130],{},[42,29128,29129],{},"Production tier retention 30 天","：超长归档要 Enterprise",[39,29132,29133,29136],{},[42,29134,29135],{},"Air-gapped 价格表","：部分模型成本要手动维护",[39,29138,29139,29142],{},[42,29140,29141],{},"Virtual Key 别裸暴露","：客户端调用务必走 server-side proxy",[39,29144,29145,29148],{},[42,29146,29147],{},"Conditional routing 别写太复杂","：3+ 层条件路由调试痛苦",[39,29150,29151,29154],{},[42,29152,29153],{},"Open Source Gateway != 企业版","：自托管开源版缺 governance \u002F dashboards \u002F evals",[21,29156,575],{"id":574},[36,29158,29159,29162,29165,29168,29171,29174,29177,29180,29183],{},[39,29160,29161],{},"✅ 中大型团队从 PoC 走向生产",[39,29163,29164],{},"✅ 强合规（SOC2 Type 2 + HIPAA + GDPR + ISO27001）",[39,29166,29167],{},"✅ 多团队 RBAC + 预算治理",[39,29169,29170],{},"✅ 大规模 AI agent 部署 + MCP 工具治理",[39,29172,29173],{},"✅ 想要『网关 + 观测』一体化 SaaS",[39,29175,29176],{},"❌ 深度 nested span 调试（用 Langfuse）",[39,29178,29179],{},"❌ 纯网关不要观测（用 LiteLLM）",[39,29181,29182],{},"❌ 中文运营 \u002F 中文支付（用 one-api \u002F new-api）",[39,29184,29185],{},"❌ 极小预算项目（Helicone Hobby \u002F Langfuse Free 更划算）",[21,29187,604],{"id":604},[36,29189,29190,29194,29198,29202],{},[39,29191,29192],{},[610,29193,25245],{"href":25244},[39,29195,29196],{},[610,29197,25257],{"href":25256},[39,29199,29200],{},[610,29201,25965],{"href":25964},[39,29203,29204],{},[610,29205,25971],{"href":25970},[21,29207,628],{"id":628},[630,29209,29210,29217,29224,29230],{},[39,29211,29212,29213],{},"Portkey 官网 — Observability 全栈观测 + Palo Alto Networks 收购公告 ",[610,29214,29215],{"href":29215,"rel":29216},"https:\u002F\u002Fportkey.ai\u002Ffeatures\u002Fobservability",[639],[39,29218,29219,29220],{},"TrueFoundry — Portkey AI Gateway Pricing Guide 2026 ",[610,29221,29222],{"href":29222,"rel":29223},"https:\u002F\u002Fwww.truefoundry.com\u002Fblog\u002Fportkey-pricing-guide",[639],[39,29225,29226,29227],{},"BuildMVPFast — Langfuse vs Helicone vs Portkey 对比 ",[610,29228,26009],{"href":26009,"rel":29229},[639],[39,29231,29232,29233],{},"DevTune — Portkey AI 评测 + 定价 + Gartner Cool Vendor ",[610,29234,29235],{"href":29235,"rel":29236},"https:\u002F\u002Fdevtune.ai\u002Fverticals\u002Fllm-observability-evals-gateways\u002Fportkey",[639],[662,29238,29239],{},"html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":29241},[29242,29243,29244,29245,29246,29247,29248,29249,29250,29251],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":28676,"depth":224,"text":28677},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fportkey.webp","Portkey 真实评测：250+ 模型统一 AI 网关 + 全栈观测 + MCP Gateway。2026 被 Palo Alto Networks 收购。免费 10K logs\u002F月，Production $49\u002F月（100K logs + 30 天 retention），Team 大体量，Enterprise SOC2 Type 2 + HIPAA + GDPR + ISO 27001 + 私有云 \u002F VPC + 1T tokens\u002F天里程碑。",[29255,29258,29261,29264],{"q":29256,"a":29257},"Portkey 收购了？","2026 年 Palo Alto Networks 完成收购 Portkey，作为其『保护 AI agent 崛起』战略的一部分。产品继续运营 + 1T tokens\u002F天里程碑达成；对企业买家是利好（背靠 Palo Alto 安全 + 合规背书），但社区担忧定价 \u002F 路线图变化——评估时要把『被 PANW 整合』作为风险项。",{"q":29259,"a":29260},"Recorded logs 是什么计量？","Portkey 不按请求 \u002F token 计费，而是按『记录到观测系统的日志条数』。一次 API 调用 = 一条 log（不含 retries）。100K logs 是『被采集 100K 次请求』的容量，不是『LLM 100K 调用配额』——LLM 费用走你自己付。",{"q":29262,"a":29263},"自托管选项？","Portkey 开源了核心 AI Gateway（GitHub Star 10K+，MIT），可以自托管做纯路由 + 基础观测；但企业级功能（SOC2 \u002F 自动 evals \u002F 团队治理 \u002F governance dashboard）只在 SaaS 或 Enterprise on-prem 提供。",{"q":29265,"a":29266},"MCP Gateway 是什么？","面向 AI agent 的 MCP（Model Context Protocol）统一访问层，已 GA。每次 agent 调工具都自动记录工具名 \u002F 参数 \u002F 响应 \u002F 用户 \u002F 团队 \u002F 延迟 \u002F 状态，是大规模 agent 部署里『谁的 agent 在做什么』可追溯的关键基础设施。",[697],{},[26044,18028,18029],[29271,29275,29278,29281],{"plan":29272,"price":707,"features":29273,"notes":29274},"Developer","10K recorded logs\u002F月 + 3 天 retention + 社区支持 + 基础 fallback","PoC \u002F hobby \u002F 小项目",{"plan":28652,"price":29079,"features":29276,"notes":29277},"100K logs\u002F月 + $9\u002F100K 超量（最高 3M）+ 30 天 retention + 语义缓存 + RBAC + Guardrails + 生产支持","中小生产应用",{"plan":867,"price":10045,"features":29279,"notes":29280},"更高 log 配额 + 团队治理 + 更长 retention","中型组织",{"plan":833,"price":29282,"features":29283,"notes":29284},"Custom（$5K–$10K+\u002F月）","10M+ logs + 自定义 retention + SSO\u002FSAML + 私有云\u002FVPC + SOC2 Type 2 + HIPAA + GDPR + ISO 27001 + 单租户","大企业 \u002F 强合规","Developer 免费 10K logs\u002F月 \u002F Production $49\u002F月 100K logs \u002F Team 大体量 \u002F Enterprise 定制",[25341],[27349],{"power":264,"ux":257,"price":250,"cn_support":224,"stability":257},{"title":25017,"description":29253},"Portkey 评测 2026：AI 网关 + 全栈观测，被 Palo Alto 收购",[29292,29294,29296,29297],{"name":29293,"url":29215,"accessed":732},"Portkey 官网 — Observability 功能",{"name":29295,"url":29222,"accessed":732},"TrueFoundry — Portkey Pricing Guide 2026",{"name":26075,"url":26009,"accessed":732},{"name":29298,"url":29235,"accessed":732},"DevTune — Portkey AI 评测 + 定价","tools\u002Fcoding\u002Fapi\u002Fportkey","Control Panel for Production AI——AI 网关 + 全栈观测 + MCP 网关，2026 被 Palo Alto Networks 收购",[27365,25361,1392,29302,22332,22335,26083],"governance","网关 + 观测一体化最完整的 SaaS。中大型团队从 PoC 走向生产、要 SOC2\u002FHIPAA\u002FMCP\u002F治理走 Portkey。纯观测 → Helicone\u002FLangfuse；自托管控制成本 → LiteLLM + Langfuse。","https:\u002F\u002Fportkey.ai","dq35TApE3GBcY-qFFQ5_YMT1k1T2NuG2fgoYFZ8Xj2w",{"id":29307,"title":6034,"alternatives":29308,"api_compatible":16,"body":29312,"category":29838,"chinese_friendly":224,"cover":29839,"description":29840,"domestic":680,"extension":681,"faq":29841,"free":680,"github":29860,"languages":29861,"lastVerified":16,"meta":29862,"models":16,"navigation":253,"notSuitable":29863,"opensource":253,"path":29868,"pillar":22297,"platforms":29869,"priceTable":29870,"pricing":29884,"published":720,"relatedPlaybooks":29885,"relatedReviews":29888,"score":29891,"self_host":680,"seo":29892,"seoTitle":29893,"slug":29894,"sources":29895,"stem":29906,"suitable":29907,"tagline":29912,"tags":29913,"updated":732,"verdict":29920,"website":29802,"__hash__":29921},"tools\u002Ftools\u002Fcoding\u002Fbuilder\u002Fbolt-new.md",[29309,29310,29311],"coding\u002Fbuilder\u002Flovable","coding\u002Fbuilder\u002Fv0","coding\u002Fbuilder\u002Freplit-agent",{"type":18,"value":29313,"toc":29822},[29314,29316,29331,29334,29355,29358,29361,29380,29382,29476,29482,29486,29491,29495,29498,29501,29518,29521,29525,29528,29532,29535,29537,29543,29546,29703,29705,29757,29759,29766,29768,29794,29796,29814],[21,29315,24],{"id":23},[5783,29317,29319,29328],{"className":29318},[5786,5787,5788],[26,29320,29321,29323,29324,29327],{},[42,29322,5793],{}," Bolt.new 是 ",[42,29325,29326],{},"StackBlitz 出品的「浏览器全栈 AI builder」","，靠自家 WebContainers 把 Node.js 跑进浏览器，不需要本地 npm\u002FDocker。一句话 → 全栈应用 + Supabase 后端 + 一键部署 Netlify，2 个月做到 $20M ARR。",[26,29329,29330],{},"做 MVP \u002F demo \u002F hackathon 没有之一最快。正式产品维护期仍需本地 IDE 接手。",[21,29332,29333],{"id":29333},"它到底是个什么",[26,29335,29336,29337,29342,29343,29346,29347,29354],{},"Bolt.new 站在 ",[610,29338,29341],{"href":29339,"rel":29340},"https:\u002F\u002Fstackblitz.com",[639],"StackBlitz"," 多年积累的 ",[42,29344,29345],{},"WebContainers"," 技术上——一个让 Node.js 跑在浏览器 WASM 里的 runtime。这意味着你打开 bolt.new，",[42,29348,29349,29350,29353],{},"没有 ",[204,29351,29352],{},"npm install","、没有 Docker、没有「works on my machine」","，dev server \u002F 包管理器 \u002F 终端全部在浏览器里。",[26,29356,29357],{},"Bolt 在这套地基上加了 AI agent 层：你描述需求 → AI 写代码 → WebContainer 装依赖 + 跑 dev → 右边浏览器预览。整个流程是真的「想到 → 看到」的秒级反馈。",[26,29359,29360],{},"差异化定位：",[36,29362,29363,29369,29374],{},[39,29364,29365,29368],{},[42,29366,29367],{},"Cursor 假设你是开发者","，想要 AI 协助。",[39,29370,29371,5819],{},[42,29372,29373],{},"Lovable 假设你可能永远不看代码",[39,29375,29376,29379],{},[42,29377,29378],{},"Bolt 落在中间","：能不写一行代码，但完整代码就在你眼前可改。",[21,29381,108],{"id":108},[366,29383,29384,29398],{},[369,29385,29386],{},[372,29387,29388,29390,29392,29395],{},[375,29389,6078],{},[375,29391,108],{},[375,29393,29394],{},"Token 配额",[375,29396,29397],{},"适合谁",[390,29399,29400,29412,29424,29437,29450,29463],{},[372,29401,29402,29404,29406,29409],{},[395,29403,843],{},[395,29405,707],{},[395,29407,29408],{},"每日 ~150K token",[395,29410,29411],{},"探索 \u002F 评估",[372,29413,29414,29416,29418,29421],{},[395,29415,849],{},[395,29417,1155],{},[395,29419,29420],{},"10M token\u002F月",[395,29422,29423],{},"个人 MVP",[372,29425,29426,29429,29431,29434],{},[395,29427,29428],{},"Pro 50",[395,29430,6110],{},[395,29432,29433],{},"26M token\u002F月",[395,29435,29436],{},"重度迭代",[372,29438,29439,29442,29444,29447],{},[395,29440,29441],{},"Pro 100",[395,29443,1359],{},[395,29445,29446],{},"55M token\u002F月",[395,29448,29449],{},"多项目并行",[372,29451,29452,29455,29457,29460],{},[395,29453,29454],{},"Pro 200",[395,29456,1363],{},[395,29458,29459],{},"120M token\u002F月",[395,29461,29462],{},"重度专业",[372,29464,29465,29467,29470,29473],{},[395,29466,23132],{},[395,29468,29469],{},"$60\u002F用户\u002F月起",[395,29471,29472],{},"团队共享",[395,29474,29475],{},"团队协作",[26,29477,29478,29481],{},[42,29479,29480],{},"重点提醒","：复杂项目重度迭代一个 session 能烧 300K token。如果你打算用 Bolt 跑严肃 MVP，预期月度成本 $50+ 而不是 $20。",[21,29483,29485],{"id":29484},"真实任务实测基于公开素材归纳","真实任务实测（基于公开素材归纳）",[130,29487,29488],{},[26,29489,29490],{},"来源说明：以下场景为 Bolt.new 公开演示视频与第三方评测（vibecoding.app、Tool Junction）的工作流归纳。",[5062,29492,29494],{"id":29493},"任务-11-小时出一个-saas-原型","任务 1：1 小时出一个 SaaS 原型",[26,29496,29497],{},"prompt：\"做一个 todo SaaS，Supabase 后端，邮箱注册，每个用户能加\u002F删\u002F改\u002F标完成\"",[26,29499,29500],{},"Bolt 流程：",[630,29502,29503,29506,29509,29512,29515],{},[39,29504,29505],{},"选技术栈（React + Vite + Tailwind）",[39,29507,29508],{},"装依赖（浏览器内 npm install，~30 秒）",[39,29510,29511],{},"写代码（auth \u002F RLS policy \u002F CRUD endpoints）",[39,29513,29514],{},"起 dev server 显示预览",[39,29516,29517],{},"用户在浏览器里就能注册测试",[26,29519,29520],{},"时间：~45 分钟，含手动调整 UI。",[5062,29522,29524],{"id":29523},"任务-2figma-设计稿导入","任务 2：Figma 设计稿导入",[26,29526,29527],{},"Bolt 支持 Figma URL 导入，AI 根据图层结构生成响应式组件。准确率 70% 左右，复杂动效需要手动改。",[5062,29529,29531],{"id":29530},"任务-3一键部署-netlify","任务 3：一键部署 Netlify",[26,29533,29534],{},"完成后点 \"Deploy\"，Bolt 直接推到 Netlify（也支持 Cloudflare Pages）。10 秒后拿到一个可访问 URL，比手动部署省半小时。",[21,29536,6151],{"id":6150},[197,29538,29541],{"className":29539,"code":29540,"language":6177,"meta":202},[6175],"1. 浏览器打开 https:\u002F\u002Fbolt.new\n2. 用 GitHub 登录\n3. 输入第一个 prompt（用英文，中文 prompt 偶尔出英文 UI）\n4. 等 30-60 秒看到代码生成 + 预览\n5. 在 Chat 里迭代（\"加一个登录页\"、\"改成深色主题\"）\n6. Connect Supabase（一键）\u002F Connect Netlify（部署）\u002F Push to GitHub（导出）\n",[204,29542,29540],{"__ignoreMap":202},[21,29544,29545],{"id":29545},"同类对比",[366,29547,29548,29564],{},[369,29549,29550],{},[372,29551,29552,29554,29556,29558,29561],{},[375,29553,377],{},[375,29555,6034],{},[375,29557,6039],{},[375,29559,29560],{},"v0 by Vercel",[375,29562,29563],{},"Replit Agent",[390,29565,29566,29583,29600,29614,29628,29644,29660,29675,29687],{},[372,29567,29568,29571,29574,29577,29580],{},[395,29569,29570],{},"母体",[395,29572,29573],{},"StackBlitz WebContainer",[395,29575,29576],{},"自研（GPT Engineer 派生）",[395,29578,29579],{},"Vercel + shadcn\u002Fui",[395,29581,29582],{},"Replit IDE",[372,29584,29585,29588,29591,29594,29597],{},[395,29586,29587],{},"技术栈",[395,29589,29590],{},"多框架全栈",[395,29592,29593],{},"React + Supabase",[395,29595,29596],{},"React\u002FNext.js only",[395,29598,29599],{},"50+ 语言",[372,29601,29602,29605,29608,29610,29612],{},[395,29603,29604],{},"Runtime",[395,29606,29607],{},"浏览器（WebContainer）",[395,29609,7714],{},[395,29611,7714],{},[395,29613,7714],{},[372,29615,29616,29618,29621,29623,29625],{},[395,29617,13517],{},[395,29619,29620],{},"Supabase 一键",[395,29622,29620],{},[395,29624,20916],{},[395,29626,29627],{},"Replit DB \u002F Postgres",[372,29629,29630,29632,29635,29638,29641],{},[395,29631,14661],{},[395,29633,29634],{},"Netlify \u002F Cloudflare",[395,29636,29637],{},"Lovable 自家",[395,29639,29640],{},"Vercel",[395,29642,29643],{},"Replit 自家",[372,29645,29646,29649,29651,29654,29657],{},[395,29647,29648],{},"Free 额度",[395,29650,29408],{},[395,29652,29653],{},"5 message\u002F天",[395,29655,29656],{},"$5 credit\u002F月",[395,29658,29659],{},"150K token\u002F天",[372,29661,29662,29664,29666,29669,29672],{},[395,29663,1152],{},[395,29665,1155],{},[395,29667,29668],{},"$20\u002F月（Starter）",[395,29670,29671],{},"$20\u002F月（Premium）",[395,29673,29674],{},"$20\u002F月（Core）",[372,29676,29677,29679,29681,29683,29685],{},[395,29678,6357],{},[395,29680,426],{},[395,29682,426],{},[395,29684,426],{},[395,29686,440],{},[372,29688,29689,29691,29694,29697,29700],{},[395,29690,506],{},[395,29692,29693],{},"多框架全栈 prototype",[395,29695,29696],{},"非技术 + Supabase MVP",[395,29698,29699],{},"React 前端组件",[395,29701,29702],{},"多语言 + 移动端",[21,29704,6457],{"id":6457},[630,29706,29707,29713,29719,29725,29735,29741,29747],{},[39,29708,29709,29712],{},[42,29710,29711],{},"Pro $20 看上去够，实际可能 1 周烧光","。重度 prompt 用户预算到 Pro 50。",[39,29714,29715,29718],{},[42,29716,29717],{},"复杂业务逻辑 AI 容易出错","，比如多角色权限 \u002F 复杂 reducer \u002F 嵌套 state，需要手动接管。",[39,29720,29721,29724],{},[42,29722,29723],{},"Supabase 生产环境另外花钱","：Bolt 帮你接 Supabase，但 Supabase 自己的 Pro $25\u002F月也躲不掉，加上 Bolt 总开销 $45+ 起。",[39,29726,29727,29730,29731,29734],{},[42,29728,29729],{},"导出代码后本地跑可能要补 .env","，Bolt 浏览器内能跑不代表本地 ",[204,29732,29733],{},"npm install + npm run dev"," 直接通——尤其 Supabase key 类配置。",[39,29736,29737,29740],{},[42,29738,29739],{},"国内访问可能慢","，CDN 节点在欧美，第一次加载 WebContainer 可能 30 秒+。",[39,29742,29743,29746],{},[42,29744,29745],{},"WebContainer 不支持所有原生模块","（比如需要 fsevents \u002F native binding 的包），偶尔会撞墙。",[39,29748,29749,29752,29753,29756],{},[42,29750,29751],{},"生成代码不是生产级","，TypeScript 类型偶尔 ",[204,29754,29755],{},"any","、可访问性偶尔缺；适合 0→1，不适合 1→1000。",[21,29758,575],{"id":574},[26,29760,29761,29762,29765],{},"✅ Indie hacker \u002F hackathon \u002F MVP；非技术创始人；多框架前端 prototype；快速 demo。",[29763,29764],"br",{},"\n❌ 复杂业务逻辑系统；需要长期维护到自有云；中文场景重度依赖；对 token 用量敏感。",[21,29767,604],{"id":604},[36,29769,29770,29777,29784],{},[39,29771,29772,29773],{},"配套 playbook：",[610,29774,29776],{"href":29775},"\u002Fplaybook\u002Fbolt-vs-lovable-vs-v0.html","Bolt vs Lovable vs v0 怎么选",[39,29778,29779,29780],{},"同分类：",[610,29781,29783],{"href":29782},"\u002Fcoding\u002Fbuilder\u002F","AI 应用 Builder 全分类",[39,29785,29786,29787,2589,29789,2589,29791],{},"替代品：",[610,29788,6039],{"href":6038},[610,29790,6043],{"href":6042},[610,29792,29563],{"href":29793},"\u002Fcoding\u002Fbuilder\u002Freplit-agent.html",[21,29795,628],{"id":628},[36,29797,29798,29804,29811],{},[39,29799,6628,29800],{},[610,29801,29802],{"href":29802,"rel":29803},"https:\u002F\u002Fbolt.new",[639],[39,29805,29806,29807],{},"融资 \u002F 公司信息：",[610,29808,29809],{"href":29809,"rel":29810},"https:\u002F\u002Fapp.dealroom.co\u002Fcompanies\u002Fbolt_stackblitz",[639],[39,29812,29813],{},"第三方评测：vibecoding.app 2026-03 评测、Tool Junction StackBlitz 评测、Metacto 关于 Supabase 真实成本",[130,29815,29816],{},[26,29817,29818,29819,29821],{},"本卡片由 AIHO 编辑部根据以上公开资料整理，非厂商付费内容；定价与功能以官网为准，欢迎在 ",[610,29820,6647],{"href":6646}," 反馈更新。",{"title":202,"searchDepth":250,"depth":250,"links":29823},[29824,29825,29826,29827,29832,29833,29834,29835,29836,29837],{"id":23,"depth":224,"text":24},{"id":29333,"depth":224,"text":29333},{"id":108,"depth":224,"text":108},{"id":29484,"depth":224,"text":29485,"children":29828},[29829,29830,29831],{"id":29493,"depth":250,"text":29494},{"id":29523,"depth":250,"text":29524},{"id":29530,"depth":250,"text":29531},{"id":6150,"depth":224,"text":6151},{"id":29545,"depth":224,"text":29545},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"builder","\u002Fimg\u002Ftools\u002Fbolt-new.webp","Bolt.new 真实评测：StackBlitz 出品的 AI Web 应用生成器（$20M ARR \u002F 2 个月），WebContainers 让 Node.js 在浏览器里跑、Supabase 一键集成、Figma\u002FGitHub 导入、一键部署 Netlify；2 个月 ARR $20M 不是吹的。",[29842,29845,29848,29851,29854,29857],{"q":29843,"a":29844},"Bolt.new 和 StackBlitz 什么关系？","Bolt.new 是 StackBlitz 团队做的 AI 产品，底层用 StackBlitz 的 WebContainers 技术（Node.js 跑在浏览器 WASM 里），所以装依赖、起 dev server、看预览都在浏览器一气呵成，不像 v0 \u002F Lovable 那样要走云端容器。",{"q":29846,"a":29847},"和 Lovable \u002F v0 怎么选？","Bolt 介于「开发者向 Cursor」和「非开发者向 Lovable」之间——你可以一句话不写代码，但全代码也露出在你眼前可改；v0 偏前端组件（React only），Lovable 更聚焦「非技术创始人 + Supabase 后端」。三者都做原型，但 Bolt 的多框架支持最广。",{"q":29849,"a":29850},"Bolt 会爆 token 吗？","会。一个复杂项目重度迭代单 session 能烧 300K token。Pro $20 包含 10M token\u002F月，重项目一周可能烧光，要升到 Pro 50。",{"q":29852,"a":29853},"支持哪些框架？","React \u002F Vue \u002F Svelte \u002F Astro \u002F Next.js \u002F Nuxt \u002F Remix \u002F SolidJS \u002F Angular 全支持。Bolt 是目前框架覆盖最广的 builder。",{"q":29855,"a":29856},"Supabase 集成深吗？","深。一键起 auth + database + storage + RLS（row-level security），不是浮在表面的配置，比手动配舒服很多。",{"q":29858,"a":29859},"可以导出代码吗？","可以。GitHub 一键 push，或者 zip 下载。代码质量比 Lovable 稍干净，可在本地 IDE 接着写。","https:\u002F\u002Fgithub.com\u002Fstackblitz\u002Fbolt.new",[697],{},[29864,29865,29866,29867],"复杂业务逻辑系统（AI 容易出错）","需要长期维护 \u002F 生产部署到自有云的项目","中文场景重度依赖（UI 全英文）","对 token 配额敏感（重度迭代一周可烧光月度）","\u002Ftools\u002Fcoding\u002Fbuilder\u002Fbolt-new",[704],[29871,29874,29876,29881],{"plan":843,"price":707,"limit":29872,"cn_pay":5724,"note":29873},"每日 ~150K 免费 token，足够探索；项目数有限","试用",{"plan":849,"price":1155,"limit":29875,"cn_pay":5724,"note":29423},"10M token\u002F月（重项目 300K\u002F会话可能一周烧光）",{"plan":29877,"price":29878,"limit":29879,"cn_pay":5724,"note":29880},"Pro 50 \u002F 100 \u002F 200","$50 \u002F $100 \u002F $200\u002F月","26M \u002F 55M \u002F 120M token，按月度用量阶梯","重度 prompt 用户",{"plan":23132,"price":29469,"limit":29882,"cn_pay":5724,"note":29883},"团队、共享项目、协作","团队档","Free \u002F Pro $20\u002F月 \u002F Pro 50 $50 \u002F Pro 100 $100 \u002F Pro 200 $200 \u002F Teams",[29886,29887],"ai-coding\u002Fbolt-vs-lovable-vs-v0","ai-coding\u002Fmvp-in-one-hour",[29889,29890],"ai-builders-comparison","ai-coding-tool-decision-tree",{"power":257,"ux":264,"price":257,"cn_support":224,"stability":257},{"title":6034,"description":29840},"Bolt.new 评测 2026：AI 全栈应用生成器，自然语言构建 Web 应用","coding\u002Fbuilder\u002Fbolt-new",[29896,29898,29900,29903],{"title":29897,"url":29802},"Bolt.new 官网",{"title":29899,"url":29809},"StackBlitz \u002F Bolt 融资信息（Dealroom）",{"title":29901,"url":29902},"Bolt.new 评测（vibecoding.app 2026-03）","https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fbolt-new-review",{"title":29904,"url":29905},"Supabase Pricing（Metacto 2026）","https:\u002F\u002Fwww.metacto.com\u002Fblogs\u002Fthe-true-cost-of-supabase-a-comprehensive-guide-to-pricing-integration-and-maintenance","tools\u002Fcoding\u002Fbuilder\u002Fbolt-new",[29908,29909,29910,29911],"Indie hacker \u002F hackathon \u002F MVP 验证","非技术创始人（写 prompt 比写代码顺）","前端为主的项目（Vue \u002F React \u002F Svelte \u002F Astro \u002F Next.js）","需要快速 demo 给投资人 \u002F 客户看","一句话生成全栈 Web 应用，StackBlitz 出品",[29914,29915,704,29916,29917,29918,29919],"app-generator","fullstack","prototype","supabase","webcontainer","stackblitz","做原型 \u002F demo \u002F MVP 最快的方式，没有之一。WebContainer 让所有依赖在浏览器里跑、Supabase 直连。正式产品仍需自己在本地 IDE 维护；Bolt 适合一次性生成 + 导出。","NZ_ByWRXX9m29z0W5vCUw61imGl8qrFo3x2bI2-lAdQ",{"id":29923,"title":29924,"alternatives":29925,"api_compatible":29926,"body":29927,"category":29838,"chinese_friendly":224,"cover":30406,"description":30407,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":30408,"lastVerified":16,"meta":30409,"models":30410,"navigation":253,"notSuitable":30411,"opensource":680,"path":30416,"pillar":22297,"platforms":30417,"priceTable":30418,"pricing":30423,"published":5733,"relatedPlaybooks":16,"relatedReviews":16,"score":30424,"self_host":680,"seo":30425,"seoTitle":30426,"slug":30427,"sources":30428,"stem":30441,"suitable":30442,"tagline":30447,"tags":30448,"updated":5733,"verdict":30451,"website":30091,"__hash__":30452},"tools\u002Ftools\u002Fcoding\u002Fbuilder\u002Fgithub-spark.md","GitHub Spark",[29309,29894,29310],[],{"type":18,"value":29928,"toc":30390},[29929,29931,29938,29945,29953,29955,29958,29961,29967,29970,29994,29997,30001,30054,30061,30064,30067,30078,30081,30083,30085,30106,30109,30112,30177,30180,30182,30207,30209,30324,30329,30340,30342,30348,30354,30360,30366,30368],[21,29930,5033],{"id":5033},[26,29932,29933,29934,29937],{},"GitHub Spark 是 GitHub 官方推出的",[42,29935,29936],{},"自然语言全栈 AI 应用构建平台","。你用自然语言描述想要什么应用，Claude Sonnet 4 在几秒内生成一个功能完整、可部署的全栈应用——前端 + 后端 + 数据库 + 部署，全自动。",[26,29939,29940,29941,29944],{},"它的定位和 Lovable \u002F Bolt.new \u002F v0 类似，但背靠 GitHub 生态，部署和版本管理更顺。",[42,29942,29943],{},"适合非技术背景的创业者\u002FPM 快速验证想法","，专业开发者还是用 Cursor\u002FTrae 更合适。",[5048,29946,29947],{"type":5050},[26,29948,29949,29952],{},[42,29950,29951],{},"Builder 赛道定位","：GitHub Spark（零代码全栈生成）vs Lovable（全栈+可视化编辑）vs Bolt.new（多框架+代码可见）vs v0（前端 UI 为主）。Spark 的独特优势是 GitHub 原生部署和 Claude Sonnet 4 驱动。",[21,29954,34],{"id":34},[5062,29956,29957],{"id":29957},"自然语言生成全栈应用",[26,29959,29960],{},"输入一句描述，Spark 生成完整应用：",[197,29962,29965],{"className":29963,"code":29964,"language":6177},[6175],"\"做一个待办清单应用，支持分类、优先级、截止日期提醒，深色主题\"\n",[204,29966,29964],{"__ignoreMap":202},[26,29968,29969],{},"Spark 会生成：",[36,29971,29972,29978,29983,29989],{},[39,29973,29974,29977],{},[42,29975,29976],{},"前端","：React + Tailwind CSS 组件",[39,29979,29980,29982],{},[42,29981,13517],{},"：Node.js API 路由",[39,29984,29985,29988],{},[42,29986,29987],{},"数据库","：自动设计 schema（SQLite\u002FPostgreSQL）",[39,29990,29991,29993],{},[42,29992,14661],{},"：一键部署到 GitHub Pages 或 GitHub Codespaces",[26,29995,29996],{},"整个过程 5-15 秒，生成的代码可以在 GitHub 上直接查看和编辑。",[5062,29998,30000],{"id":29999},"github-原生集成","GitHub 原生集成",[366,30002,30003,30013],{},[369,30004,30005],{},[372,30006,30007,30010],{},[375,30008,30009],{},"能力",[375,30011,30012],{},"说明",[390,30014,30015,30023,30031,30038,30046],{},[372,30016,30017,30020],{},[395,30018,30019],{},"仓库创建",[395,30021,30022],{},"自动创建 GitHub 仓库",[372,30024,30025,30028],{},[395,30026,30027],{},"代码版本管理",[395,30029,30030],{},"每次修改自动 commit",[372,30032,30033,30035],{},[395,30034,14661],{},[395,30036,30037],{},"一键部署到 GitHub Pages \u002F Codespaces",[372,30039,30040,30043],{},[395,30041,30042],{},"协作",[395,30044,30045],{},"支持团队 fork \u002F PR",[372,30047,30048,30051],{},[395,30049,30050],{},"CI\u002FCD",[395,30052,30053],{},"自动配置 GitHub Actions",[26,30055,30056,30057,30060],{},"这是 Spark 相对 Lovable\u002FBolt.new 的最大优势——",[42,30058,30059],{},"全流程在 GitHub 生态内完成","，不需要第三方平台。",[5062,30062,30063],{"id":30063},"迭代修改",[26,30065,30066],{},"生成应用后，可以用自然语言继续修改：",[36,30068,30069,30072,30075],{},[39,30070,30071],{},"\"把主题改成浅色\"",[39,30073,30074],{},"\"加一个搜索功能\"",[39,30076,30077],{},"\"修复待办删除后不刷新的 bug\"",[26,30079,30080],{},"每次修改 Spark 会自动 commit 一个新版本，你可以回滚到任何历史版本。",[21,30082,5312],{"id":5312},[5062,30084,936],{"id":936},[630,30086,30087,30094,30097,30100,30103],{},[39,30088,6156,30089],{},[610,30090,30093],{"href":30091,"rel":30092},"https:\u002F\u002Fgithub.com\u002Fspark",[639],"github.com\u002Fspark",[39,30095,30096],{},"用 GitHub 账号登录",[39,30098,30099],{},"输入自然语言描述",[39,30101,30102],{},"等待 5-15 秒生成",[39,30104,30105],{},"预览 \u002F 修改 \u002F 部署",[26,30107,30108],{},"全程零配置，不需要装任何东西。",[5062,30110,30111],{"id":30111},"生成质量",[366,30113,30114,30125],{},[369,30115,30116],{},[372,30117,30118,30121,30123],{},[375,30119,30120],{},"应用类型",[375,30122,30111],{},[375,30124,30012],{},[390,30126,30127,30137,30147,30157,30167],{},[372,30128,30129,30132,30134],{},[395,30130,30131],{},"待办清单 \u002F 笔记",[395,30133,6315],{},[395,30135,30136],{},"完整可用",[372,30138,30139,30142,30144],{},[395,30140,30141],{},"博客 \u002F CMS",[395,30143,5579],{},[395,30145,30146],{},"基本功能完整",[372,30148,30149,30152,30154],{},[395,30150,30151],{},"仪表盘 \u002F 数据可视化",[395,30153,5579],{},[395,30155,30156],{},"图表需微调",[372,30158,30159,30162,30164],{},[395,30160,30161],{},"电商 \u002F 支付",[395,30163,5585],{},[395,30165,30166],{},"逻辑复杂，需手动补",[372,30168,30169,30172,30174],{},[395,30170,30171],{},"实时聊天 \u002F 协作",[395,30173,5593],{},[395,30175,30176],{},"WebSocket 需手动处理",[26,30178,30179],{},"简单 CRUD 应用生成质量很高，复杂业务逻辑需要开发者手动补。",[5062,30181,5416],{"id":5416},[36,30183,30184,30189,30195,30201],{},[39,30185,30186,30188],{},[42,30187,9720],{},"：需要翻墙 + GitHub 账号",[39,30190,30191,30194],{},[42,30192,30193],{},"定制能力有限","：生成的技术栈固定（React + Node.js），不能选 Vue\u002FPython",[39,30196,30197,30200],{},[42,30198,30199],{},"复杂应用","：超过 5 个页面的应用，生成质量明显下降",[39,30202,30203,30206],{},[42,30204,30205],{},"代码可控性","：不像 Bolt.new 那样可以实时编辑代码",[21,30208,5505],{"id":5505},[366,30210,30211,30225],{},[369,30212,30213],{},[372,30214,30215,30217,30219,30221,30223],{},[375,30216,377],{},[375,30218,29924],{},[375,30220,6039],{},[375,30222,6034],{},[375,30224,6043],{},[390,30226,30227,30241,30255,30271,30285,30300,30312],{},[372,30228,30229,30232,30234,30236,30239],{},[395,30230,30231],{},"驱动模型",[395,30233,6602],{},[395,30235,6602],{},[395,30237,30238],{},"Claude \u002F GPT",[395,30240,13157],{},[372,30242,30243,30246,30248,30250,30252],{},[395,30244,30245],{},"全栈生成",[395,30247,1100],{},[395,30249,1100],{},[395,30251,1100],{},[395,30253,30254],{},"⚠️ 前端为主",[372,30256,30257,30260,30263,30266,30269],{},[395,30258,30259],{},"代码可见",[395,30261,30262],{},"✅ GitHub 仓库",[395,30264,30265],{},"✅ 可视化编辑",[395,30267,30268],{},"✅ 实时编辑",[395,30270,1100],{},[372,30272,30273,30275,30278,30281,30283],{},[395,30274,14661],{},[395,30276,30277],{},"GitHub Pages\u002FCodespaces",[395,30279,30280],{},"Lovable 云",[395,30282,29341],{},[395,30284,29640],{},[372,30286,30287,30290,30293,30296,30298],{},[395,30288,30289],{},"GitHub 集成",[395,30291,30292],{},"★★★★★ 原生",[395,30294,30295],{},"★★★☆☆ 双向同步",[395,30297,5593],{},[395,30299,5593],{},[372,30301,30302,30304,30306,30308,30310],{},[395,30303,9735],{},[395,30305,12512],{},[395,30307,12080],{},[395,30309,12080],{},[395,30311,12080],{},[372,30313,30314,30316,30318,30320,30322],{},[395,30315,16470],{},[395,30317,5593],{},[395,30319,5585],{},[395,30321,5585],{},[395,30323,5593],{},[26,30325,30326,5072],{},[42,30327,30328],{},"选型建议",[36,30330,30331,30334,30337],{},[39,30332,30333],{},"已有 GitHub 生态 → GitHub Spark",[39,30335,30336],{},"需要可视化编辑 → Lovable\n| 需要代码完全可控 → Bolt.new",[39,30338,30339],{},"只做前端 UI → v0",[21,30341,2552],{"id":2551},[26,30343,30344,30347],{},[42,30345,30346],{},"Q：GitHub Spark 和 GitHub Copilot 什么关系？","\n都是 GitHub 的 AI 产品，但定位不同。Copilot 是\"编程助手\"（帮你写代码），Spark 是\"应用生成器\"（帮你生成整个应用）。Copilot 面向开发者，Spark 面向所有人。",[26,30349,30350,30353],{},[42,30351,30352],{},"Q：生成的代码质量怎么样？","\n简单应用（CRUD\u002F博客\u002F仪表盘）质量不错，可以直接用。复杂应用需要开发者手动优化，但作为原型验证足够了。",[26,30355,30356,30359],{},[42,30357,30358],{},"Q：能商用吗？","\n生成的代码版权归你，可以商用。但建议在生产环境使用前做安全审计。",[26,30361,30362,30365],{},[42,30363,30364],{},"Q：支持哪些技术栈？","\n目前固定 React + Node.js + Tailwind CSS，不支持 Vue\u002FAngular\u002FPython\u002FGo 等其他技术栈。",[21,30367,604],{"id":604},[36,30369,30370,30375,30380,30385],{},[39,30371,30372],{},[610,30373,30374],{"href":6038},"Lovable 工具卡",[39,30376,30377],{},[610,30378,30379],{"href":6033},"Bolt.new 工具卡",[39,30381,30382],{},[610,30383,30384],{"href":6042},"v0 工具卡",[39,30386,30387],{},[610,30388,30389],{"href":29793},"Replit Agent 工具卡",{"title":202,"searchDepth":250,"depth":250,"links":30391},[30392,30393,30398,30403,30404,30405],{"id":5033,"depth":224,"text":5033},{"id":34,"depth":224,"text":34,"children":30394},[30395,30396,30397],{"id":29957,"depth":250,"text":29957},{"id":29999,"depth":250,"text":30000},{"id":30063,"depth":250,"text":30063},{"id":5312,"depth":224,"text":5312,"children":30399},[30400,30401,30402],{"id":936,"depth":250,"text":936},{"id":30111,"depth":250,"text":30111},{"id":5416,"depth":250,"text":5416},{"id":5505,"depth":224,"text":5505},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},"\u002Fimg\u002Ftools\u002Fgithub-spark.webp","GitHub Spark 2026 评测：GitHub 官方自然语言全栈 AI 应用构建平台，Claude Sonnet 4 驱动。零代码构建、几秒内生成可部署应用、GitHub 原生部署。本文整理核心能力、与 Lovable\u002FBolt.new\u002Fv0 对比、适用场景、价格。",[697],{},[5711],[30412,30413,30414,30415],"需要精细控制代码的专业开发者（用 Cursor\u002FTrae 更合适）","国内用户（需要翻墙 + GitHub 账号）","需要复杂后端逻辑和数据库设计的产品","需要私有部署 \u002F 本地运行的应用","\u002Ftools\u002Fcoding\u002Fbuilder\u002Fgithub-spark",[704],[30419],{"plan":11235,"price":707,"limit":30420,"cn_pay":30421,"note":30422},"GitHub 账号即可使用","⚠️ 需翻墙","基础功能","免费（GitHub 账号）",{"power":257,"ux":257,"price":264,"cn_support":224,"stability":250},{"title":29924,"description":30407},"GitHub Spark 评测 2026：自然语言生成全栈 AI 应用，零代码构建","coding\u002Fbuilder\u002Fgithub-spark",[30429,30432,30435,30438],{"title":30430,"url":30431},"GitHub Spark 介绍","https:\u002F\u002Fblog.csdn.net\u002Fu012842807\u002Farticle\u002Fdetails\u002F150385386",{"title":30433,"url":30434},"GitHub Spark 搜狐报道","https:\u002F\u002Fm.sohu.com\u002Fa\u002F920690921_130887\u002F",{"title":30436,"url":30437},"GitHub Spark 微软报道","https:\u002F\u002Fm.sohu.com\u002Fa\u002F822084548_211762\u002F",{"title":30439,"url":30440},"2026 低代码 AI 工具盘点","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7648666403663135275\u002F","tools\u002Fcoding\u002Fbuilder\u002Fgithub-spark",[30443,30444,30445,30446],"非技术背景的创业者\u002F产品经理，想快速验证想法","需要几秒内生成可部署的全栈 AI 应用原型","GitHub 生态用户，想要原生部署体验","想用自然语言构建 MVP 的团队","GitHub 全栈 AI 应用构建平台，自然语言生成可部署应用",[29838,24207,29915,30449,30450,1393],"natural-language","zero-code","GitHub 官方自然语言全栈应用生成器。Claude Sonnet 4 驱动、零代码构建、GitHub 原生部署。适合快速原型和 MVP，但定制能力有限。","RzNqXhpl0hd40HNUokCnIpYNEQpLEPk0g_l4D4Jir_8",{"id":30454,"title":6039,"alternatives":30455,"api_compatible":16,"body":30456,"category":29838,"chinese_friendly":224,"cover":31055,"description":31056,"domestic":680,"extension":681,"faq":31057,"free":680,"github":202,"languages":31076,"lastVerified":16,"meta":31077,"models":16,"navigation":253,"notSuitable":31078,"opensource":680,"path":31083,"pillar":22297,"platforms":31084,"priceTable":31085,"pricing":31097,"published":720,"relatedPlaybooks":31098,"relatedReviews":31100,"score":31101,"self_host":680,"seo":31102,"seoTitle":31103,"slug":29309,"sources":31104,"stem":31115,"suitable":31116,"tagline":31121,"tags":31122,"updated":732,"verdict":31125,"website":31003,"__hash__":31126},"tools\u002Ftools\u002Fcoding\u002Fbuilder\u002Flovable.md",[29894,29310,29311],{"type":18,"value":30457,"toc":31039},[30458,30460,30475,30477,30480,30507,30510,30585,30589,30659,30664,30681,30684,30689,30745,30747,30752,30756,30759,30762,30776,30779,30783,30786,30790,30793,30795,30801,30803,30921,30923,30967,30969,30975,30977,30995,30997,31033],[21,30459,24],{"id":23},[5783,30461,30463,30472],{"className":30462},[5786,5787,5788],[26,30464,30465,30467,30468,30471],{},[42,30466,5793],{}," Lovable 是「非技术创始人版的 Bolt」——前身 GPT Engineer，2026 ARR 突破 $300M。一句话生成全栈 web 应用 + Supabase 后端 + Lovable 自家部署，",[42,30469,30470],{},"积分制"," 计费、UI 隐藏代码复杂度比 Bolt 更彻底。",[26,30473,30474],{},"可产出物 Bolt 更干净，Lovable 更完整。真实月度 TCO 含 Supabase ≥ $50。",[21,30476,29333],{"id":29333},[26,30478,30479],{},"Lovable 是浏览器内的 AI App Builder：",[36,30481,30482,30487,30492,30497,30502],{},[39,30483,30484,30486],{},[42,30485,2367],{},"：左边 Chat 输需求，右边实时预览，\"非开发者也能用\"是核心定位。",[39,30488,30489,30491],{},[42,30490,29587],{},"：默认 React + Tailwind + Supabase，下层走 GPT-4o \u002F Claude 等。",[39,30493,30494,30496],{},[42,30495,13517],{},"：Supabase 一键 connect（auth + database + storage + edge functions）。",[39,30498,30499,30501],{},[42,30500,14661],{},"：Lovable 自家 cloud，自动域名 + HTTPS，Pro+ 可绑自定义域名。",[39,30503,30504,30506],{},[42,30505,30470],{},"：每个 prompt 消耗 credit，复杂度不同消耗不同；不是 token 也不是 message-quota。",[26,30508,30509],{},"它和 Bolt 经常被一起讨论但定位不一样：",[366,30511,30512,30523],{},[369,30513,30514],{},[372,30515,30516,30519,30521],{},[375,30517,30518],{},"关注点",[375,30520,6039],{},[375,30522,6034],{},[390,30524,30525,30535,30546,30557,30568,30577],{},[372,30526,30527,30529,30532],{},[395,30528,9244],{},[395,30530,30531],{},"非技术创始人",[395,30533,30534],{},"开发者 + 非技术",[372,30536,30537,30540,30543],{},[395,30538,30539],{},"代码可见度",[395,30541,30542],{},"隐藏在 IDE 里",[395,30544,30545],{},"始终可见",[372,30547,30548,30551,30554],{},[395,30549,30550],{},"后端整合",[395,30552,30553],{},"Supabase 深度",[395,30555,30556],{},"Supabase 集成",[372,30558,30559,30562,30565],{},[395,30560,30561],{},"框架",[395,30563,30564],{},"React only",[395,30566,30567],{},"多框架",[372,30569,30570,30572,30575],{},[395,30571,14661],{},[395,30573,30574],{},"自家 cloud",[395,30576,29634],{},[372,30578,30579,30581,30583],{},[395,30580,29604],{},[395,30582,7714],{},[395,30584,29607],{},[21,30586,30588],{"id":30587},"价格重点积分-隐性成本","价格（重点：积分 + 隐性成本）",[366,30590,30591,30606],{},[369,30592,30593],{},[372,30594,30595,30597,30600,30603],{},[375,30596,6078],{},[375,30598,30599],{},"显式月费",[375,30601,30602],{},"积分",[375,30604,30605],{},"关键差异",[390,30607,30608,30620,30634,30647],{},[372,30609,30610,30612,30614,30617],{},[395,30611,843],{},[395,30613,707],{},[395,30615,30616],{},"每日 5 message",[395,30618,30619],{},"Lovable 子域名",[372,30621,30622,30624,30628,30631],{},[395,30623,849],{},[395,30625,30626],{},[42,30627,4233],{},[395,30629,30630],{},"100 + 每日 5 bonus（不滚存）",[395,30632,30633],{},"自定义域名 \u002F 优先生成 \u002F top-up",[372,30635,30636,30639,30641,30644],{},[395,30637,30638],{},"Business",[395,30640,6110],{},[395,30642,30643],{},"同 Pro",[395,30645,30646],{},"私有项目 \u002F RBAC \u002F SSO \u002F 优先支持",[372,30648,30649,30651,30653,30656],{},[395,30650,833],{},[395,30652,716],{},[395,30654,30655],{},"自议",[395,30657,30658],{},"SCIM \u002F 专属支持 \u002F 自定义集成",[26,30660,30661],{},[42,30662,30663],{},"真实积分消耗参考（来自第三方评测和用户笔记）：",[36,30665,30666,30669,30672,30675,30678],{},[39,30667,30668],{},"改一个按钮颜色：~0.5 credit",[39,30670,30671],{},"删 footer：~0.9 credit",[39,30673,30674],{},"简单修改：~1 credit",[39,30676,30677],{},"初始建项目：~2 credit",[39,30679,30680],{},"一个完整 MVP（含 auth + database + UI）：50-100 credit",[26,30682,30683],{},"100 credit\u002F月只能撑住中等复杂度的一个 MVP；多项目或复杂业务需要 top-up 或 upgrade。",[26,30685,30686],{},[42,30687,30688],{},"真实月度 TCO（容易被忽略的隐性成本）：",[366,30690,30691,30700],{},[369,30692,30693],{},[372,30694,30695,30697],{},[375,30696,5452],{},[375,30698,30699],{},"金额（年）",[390,30701,30702,30710,30717,30725,30733],{},[372,30703,30704,30707],{},[395,30705,30706],{},"Lovable Pro",[395,30708,30709],{},"$300",[372,30711,30712,30715],{},[395,30713,30714],{},"Supabase Pro（生产必须）",[395,30716,30709],{},[372,30718,30719,30722],{},[395,30720,30721],{},"域名",[395,30723,30724],{},"$12",[372,30726,30727,30730],{},[395,30728,30729],{},"Lovable Cloud（2026 推广期后）",[395,30731,30732],{},"~$1200\u002F年（推广 $25\u002F月额度）",[372,30734,30735,30740],{},[395,30736,30737],{},[42,30738,30739],{},"Solo 年度真实 TCO",[395,30741,30742],{},[42,30743,30744],{},"$612-1812",[21,30746,29485],{"id":29484},[130,30748,30749],{},[26,30750,30751],{},"来源说明：以下场景为 Lovable 官方 demo + 第三方评测（Flowith \u002F Zite \u002F CheckThat.ai 等）的工作流归纳。",[5062,30753,30755],{"id":30754},"任务-11-小时出-saas-mvp含登录-数据库","任务 1：1 小时出 SaaS MVP（含登录 + 数据库）",[26,30757,30758],{},"prompt: \"Build a task management SaaS with email login, projects, and team collaboration. Use Supabase for backend.\"",[26,30760,30761],{},"Lovable 流程：",[630,30763,30764,30767,30770,30773],{},[39,30765,30766],{},"自动建 Supabase 项目（auth + database table + RLS）",[39,30768,30769],{},"生成 React 前端（路由 + 表单 + dashboard）",[39,30771,30772],{},"连数据 + 起预览",[39,30774,30775],{},"你在 Chat 里继续迭代（\"加 dark mode\"、\"加 team invite 流程\"）",[26,30777,30778],{},"约 60-90 分钟出一个能 demo 的版本，~50 credit。",[5062,30780,30782],{"id":30781},"任务-2figma-转应用","任务 2：Figma 转应用",[26,30784,30785],{},"可上传 Figma URL → 解析布局 → 生成对应 React 组件。准确率 65-75%，复杂动效需要手动改。",[5062,30787,30789],{"id":30788},"任务-3自定义域名-部署","任务 3：自定义域名 + 部署",[26,30791,30792],{},"Pro+ 可连自有域名（DNS CNAME 到 Lovable）。部署一键，HTTPS 自动。流程比 Bolt+Netlify 略简单，但锁定在 Lovable 平台。",[21,30794,6151],{"id":6150},[197,30796,30799],{"className":30797,"code":30798,"language":6177,"meta":202},[6175],"1. 浏览器 https:\u002F\u002Flovable.dev\n2. GitHub 登录\n3. 第一个 prompt（英文，描述完整产品需求）\n4. 等 1-3 分钟看到完整应用 + 后端\n5. 试用 + 在 Chat 里迭代\n6. Connect Supabase（一键）\u002F 连自定义域名（Pro+）\u002F Push to GitHub（导出代码）\n",[204,30800,30798],{"__ignoreMap":202},[21,30802,29545],{"id":29545},[366,30804,30805,30819],{},[369,30806,30807],{},[372,30808,30809,30811,30813,30815,30817],{},[375,30810,377],{},[375,30812,6039],{},[375,30814,6034],{},[375,30816,6043],{},[375,30818,29563],{},[390,30820,30821,30834,30851,30866,30880,30894,30909],{},[372,30822,30823,30825,30828,30830,30832],{},[395,30824,29570],{},[395,30826,30827],{},"GPT Engineer 派生",[395,30829,29573],{},[395,30831,29579],{},[395,30833,29582],{},[372,30835,30836,30838,30843,30845,30848],{},[395,30837,9244],{},[395,30839,30840],{},[42,30841,30842],{},"非技术",[395,30844,30534],{},[395,30846,30847],{},"React 开发者",[395,30849,30850],{},"多语言开发者",[372,30852,30853,30856,30858,30861,30864],{},[395,30854,30855],{},"计费模型",[395,30857,30470],{},[395,30859,30860],{},"Token 阶梯",[395,30862,30863],{},"Token + 月费",[395,30865,30863],{},[372,30867,30868,30870,30872,30875,30877],{},[395,30869,13517],{},[395,30871,30553],{},[395,30873,30874],{},"Supabase",[395,30876,20916],{},[395,30878,30879],{},"Replit DB",[372,30881,30882,30884,30886,30889,30891],{},[395,30883,14661],{},[395,30885,30574],{},[395,30887,30888],{},"Netlify",[395,30890,29640],{},[395,30892,30893],{},"Replit",[372,30895,30896,30899,30902,30905,30907],{},[395,30897,30898],{},"自定义域名",[395,30900,30901],{},"Pro+",[395,30903,30904],{},"Netlify 配",[395,30906,29640],{},[395,30908,30893],{},[372,30910,30911,30913,30915,30917,30919],{},[395,30912,6357],{},[395,30914,443],{},[395,30916,443],{},[395,30918,443],{},[395,30920,440],{},[21,30922,6457],{"id":6457},[630,30924,30925,30931,30937,30943,30949,30955,30961],{},[39,30926,30927,30930],{},[42,30928,30929],{},"积分制不直观，先算预算再决定档位","。复杂 MVP 100 credit 紧巴巴，建议 Pro $25 + top-up 或直接 Business $50。",[39,30932,30933,30936],{},[42,30934,30935],{},"Supabase Pro 隐性成本 $25\u002F月","——Free tier 7 天不活跃自动暂停，生产应用必须升 Pro。",[39,30938,30939,30942],{},[42,30940,30941],{},"Lovable Cloud 2026 后期才正式按量计费","，目前 $25\u002F月推广额度到期日不固定，留意账单。",[39,30944,30945,30948],{},[42,30946,30947],{},"生成代码 export 后清理量大","：Lovable 的代码生成痕迹比 Bolt 重，长期维护需手动 cleanup。",[39,30950,30951,30954],{},[42,30952,30953],{},"复杂业务逻辑容易掉链子","：多角色权限、复杂 reducer、嵌套 state——AI 出错率上升，要分多轮 prompt 而非一次写完。",[39,30956,30957,30960],{},[42,30958,30959],{},"退款仅 24 小时窗口","，订阅前先用 Free 跑一遍判断匹配度。",[39,30962,30963,30966],{},[42,30964,30965],{},"i18n 弱","：默认输出英文 UI，多语言项目需要在 prompt 反复强调；中文场景 fallback 到 Bolt + 自己改 UI 或者 Trae 国内版。",[21,30968,575],{"id":574},[26,30970,30971,30972,30974],{},"✅ 非技术创始人 \u002F 产品经理；MVP 验证；需要 Supabase 全栈开箱；需要专业 demo URL。",[29763,30973],{},"\n❌ 自定义后端架构；复杂业务逻辑；预算预测敏感；中文重度场景。",[21,30976,604],{"id":604},[36,30978,30979,30983,30987],{},[39,30980,29772,30981],{},[610,30982,29776],{"href":29775},[39,30984,29779,30985],{},[610,30986,29783],{"href":29782},[39,30988,29786,30989,2589,30991,2589,30993],{},[610,30990,6034],{"href":6033},[610,30992,6043],{"href":6042},[610,30994,29563],{"href":29793},[21,30996,628],{"id":628},[36,30998,30999,31005,31012,31019,31026],{},[39,31000,6628,31001],{},[610,31002,31003],{"href":31003,"rel":31004},"https:\u002F\u002Flovable.dev",[639],[39,31006,31007,31008],{},"定价深度解析：",[610,31009,31010],{"href":31010,"rel":31011},"https:\u002F\u002Fflowith.io\u002Fblog\u002Flovable-pricing-2026-free-vs-starter-vs-pro",[639],[39,31013,31014,31015],{},"TCO 分析：",[610,31016,31017],{"href":31017,"rel":31018},"https:\u002F\u002Fcheckthat.ai\u002Fbrands\u002Flovable\u002Fpricing",[639],[39,31020,31021,31022],{},"评测：",[610,31023,31024],{"href":31024,"rel":31025},"https:\u002F\u002Fen.ai-pedias.com\u002Ftools\u002Flovable",[639],[39,31027,31028,31029],{},"积分 \u002F Cloud 详解：",[610,31030,31031],{"href":31031,"rel":31032},"https:\u002F\u002Fwww.zite.com\u002Fblog\u002Flovable-pricing",[639],[130,31034,31035],{},[26,31036,29818,31037,29821],{},[610,31038,6647],{"href":6646},{"title":202,"searchDepth":250,"depth":250,"links":31040},[31041,31042,31043,31044,31049,31050,31051,31052,31053,31054],{"id":23,"depth":224,"text":24},{"id":29333,"depth":224,"text":29333},{"id":30587,"depth":224,"text":30588},{"id":29484,"depth":224,"text":29485,"children":31045},[31046,31047,31048],{"id":30754,"depth":250,"text":30755},{"id":30781,"depth":250,"text":30782},{"id":30788,"depth":250,"text":30789},{"id":6150,"depth":224,"text":6151},{"id":29545,"depth":224,"text":29545},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Flovable.webp","Lovable 真实评测：前身 GPT Engineer，从 prompt 到全栈应用 + Supabase 后端的 AI Builder。2026 年 ARR 突破 $300M；积分计费、Cloud \u002F AI 一体化、4 档套餐 + 隐性 Supabase \u002F 域名成本，含真实 TCO 分析与避坑清单。",[31058,31061,31064,31067,31070,31073],{"q":31059,"a":31060},"Lovable 和 Bolt 怎么选？","Lovable 更非技术友好（UI \u002F 隐藏复杂度更彻底），Supabase 整合更深、有完整的 auth \u002F database \u002F 部署一条龙；Bolt 让你看到代码、多框架支持、WebContainer 在浏览器内跑。非技术创始人选 Lovable，开发者优先 Bolt。",{"q":31062,"a":31063},"积分制怎么算？","Lovable 用积分（credit）而非 token。简单操作（改按钮颜色）~0.5 credit、删 footer ~0.9、初始建项目 ~2 credit。Pro $25\u002F月含 100 credit + 每日 5 bonus（不滚存）。复杂 MVP 单个完整流程 ~50-100 credit，能撑住但要节制。",{"q":31065,"a":31066},"真实月度成本是多少？","Lovable Pro $25 + Supabase Pro $25\u002F月 + 域名 $1\u002F月 ≈ $51\u002F月。生产应用通常更高（Supabase 用量超 + Lovable Cloud 推广期结束后 $25\u002F月起的 hosting）。Solo dev 真实 TCO 一年 $612-912。",{"q":31068,"a":31069},"Lovable Cloud 是什么？","Lovable 2026 推出的全栈托管平台，含数据库（Supabase）+ 文件存储 + AI 集成。订阅含 $25\u002F月 Cloud 推广额度 + $1\u002F月 AI 额度（promotional），到期后按用量计费。",{"q":31071,"a":31072},"支持中文 prompt 吗？","支持但 UI 全英文。生成的 UI 默认英文，需要在 prompt 里明确指定语言。i18n 支持较弱，建议英文项目优先。",{"q":31074,"a":31075},"代码可导出吗？","Pro+ 支持 GitHub 同步导出。代码质量介于 Bolt 和 Replit 之间——可读但生成痕迹明显，导出后需要 cleanup 才适合长期维护。",[697],{},[31079,31080,31081,31082],"需要自定义后端架构（Supabase 之外）","复杂业务逻辑（积分会快速消耗）","对预算预测敏感（积分制不直观）","中文重度场景","\u002Ftools\u002Fcoding\u002Fbuilder\u002Flovable",[704],[31086,31088,31091,31094],{"plan":843,"price":707,"limit":31087,"cn_pay":5724,"note":29873},"每日 5 message、1-2 个项目、Lovable 子域名",{"plan":849,"price":31089,"limit":31090,"cn_pay":5724,"note":29423},"$25\u002F月（最新文档 $20-25 浮动）","~100 message\u002F月、每日 5 bonus、自定义域名、top-up 可购",{"plan":30638,"price":6110,"limit":31092,"cn_pay":5724,"note":31093},"私有项目、RBAC、SSO、优先支持","团队 \u002F 合规",{"plan":833,"price":716,"limit":31095,"cn_pay":5724,"note":31096},"SCIM、专属支持、onboarding、自定义集成","大企业","Free \u002F Pro $25\u002F月 \u002F Business $50\u002F月 \u002F Enterprise",[29886,31099],"ai-coding\u002Fmvp-credit-budget",[29889,29890],{"power":257,"ux":257,"price":250,"cn_support":224,"stability":250},{"title":6039,"description":31056},"Lovable 评测 2026：AI 全栈应用生成平台，GPT Engineer 进化版",[31105,31107,31109,31111,31113],{"title":31106,"url":31003},"Lovable 官网",{"title":31108,"url":31010},"Lovable 定价深度解析（Flowith 2026）",{"title":31110,"url":31017},"Lovable Pricing TCO 分析（CheckThat.ai 2026）",{"title":31112,"url":31024},"Lovable 评测（AIpedia 2026-06）",{"title":31114,"url":31031},"Lovable 积分 \u002F Cloud 详解（Zite 2026-02）","tools\u002Fcoding\u002Fbuilder\u002Flovable",[31117,31118,31119,31120],"非技术创始人 \u002F 产品经理（不想看代码）","MVP 验证（写 prompt 比写代码顺）","需要 Supabase 全栈后端开箱即用","需要专业可见性（自定义域名 + 公开 demo）","前 GPT Engineer，从 prompt 到全栈应用 + Supabase 后端",[29914,29916,29915,31123,29917,31124],"visual","credit-based","和 Bolt 定位相近，但更偏「非技术创始人 + Supabase 后端 + 完整产品」。可产出物 Bolt 更干净，Lovable 更完整；积分制需要预算预测，月度真实 TCO 含 Supabase 至少 $50+。","g0IisLnzGWB2fNNpNa8ZDjVuG1WDrUJFKLEwEg4AS2s",{"id":31128,"title":29563,"alternatives":31129,"api_compatible":16,"body":31130,"category":29838,"chinese_friendly":250,"cover":31538,"description":31539,"domestic":680,"extension":681,"faq":31540,"free":680,"github":16,"languages":31553,"lastVerified":16,"meta":31554,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":31555,"pillar":22297,"platforms":31556,"priceTable":31558,"pricing":31568,"published":720,"relatedPlaybooks":31569,"relatedReviews":31571,"score":31572,"self_host":680,"seo":31573,"seoTitle":31574,"slug":29311,"sources":31575,"stem":31584,"suitable":16,"tagline":31585,"tags":31586,"updated":732,"verdict":31589,"website":31590,"__hash__":31591},"tools\u002Ftools\u002Fcoding\u002Fbuilder\u002Freplit-agent.md",[29894,29309,29310],{"type":18,"value":31131,"toc":31526},[31132,31134,31145,31148,31150,31153,31177,31180,31182,31237,31243,31247,31251,31265,31270,31284,31286,31306,31308,31413,31415,31450,31452,31469,31471,31494,31496],[21,31133,24],{"id":23},[26,31135,31136,31137,31140,31141,31144],{},"Replit Agent 是 Replit 内置的 AI 全栈 Builder。2026 年的旗舰是 ",[42,31138,31139],{},"Agent 3","——把自主运行时长从同类的 ~30 分钟拉到 ",[42,31142,31143],{},"200 分钟 Max Autonomy","，意味着它能完整跑完「规划 → 写代码 → 跑测试 → 自我修复 → 部署到 live URL」整套流程，而不是中途交回给人。",[26,31146,31147],{},"适合：非技术创始人 MVP、教育 \u002F 教学、原型 + 部署一站搞定的小团队。不适合：要把项目挪出 Replit 进入大型企业代码库的场景——锁定较深。",[21,31149,21844],{"id":21844},[26,31151,31152],{},"Replit Agent 不是单纯的 chat 框，是 Replit 浏览器 IDE 里的「自主开发模式」。给它一句话，它会：",[630,31154,31155,31158,31161,31164,31170],{},[39,31156,31157],{},"自动选技术栈（默认 React\u002FNode 或 Python\u002FFlask）",[39,31159,31160],{},"scaffold 项目、装依赖",[39,31162,31163],{},"写代码、连数据库（Postgres）、配 auth",[39,31165,31166,31169],{},[42,31167,31168],{},"在 live browser 里跑应用、点击测试、看到报错自动修","（Agent 3 新增）",[39,31171,31172,31173,31176],{},"部署到 ",[204,31174,31175],{},"*.replit.app"," 拿到 live URL",[26,31178,31179],{},"四档 Autonomy（Low \u002F Medium \u002F High \u002F Max）对应不同的「让它跑多久无人值守」。Max = 最长 200 分钟，能一口气把全栈 CRUD + auth + deploy 都做完。",[21,31181,22441],{"id":22440},[366,31183,31184,31194],{},[369,31185,31186],{},[372,31187,31188,31190,31192],{},[375,31189,21887],{},[375,31191,108],{},[375,31193,23034],{},[390,31195,31196,31205,31218,31228],{},[372,31197,31198,31200,31202],{},[395,31199,843],{},[395,31201,707],{},[395,31203,31204],{},"体验 Agent、公共 repl、checkpoint 受限",[372,31206,31207,31211,31215],{},[395,31208,31209],{},[42,31210,23043],{},[395,31212,31213],{},[42,31214,4233],{},[395,31216,31217],{},"基础 effort credits、私有项目、部署 + Postgres",[372,31219,31220,31222,31225],{},[395,31221,23132],{},[395,31223,31224],{},"$35\u002F席\u002F月",[395,31226,31227],{},"池化 credits、共享 workspace、角色权限",[372,31229,31230,31232,31234],{},[395,31231,833],{},[395,31233,716],{},[395,31235,31236],{},"SSO、私有云、SLA",[26,31238,31239,31242],{},[42,31240,31241],{},"Effort 计费","：一次任务消耗 0.05–1+ effort，单次大任务（200 分钟 Max）可能吃掉数十 effort。Core 月度池子大约够 50–100 次中等任务，超出按 $0.25\u002Feffort 计费。重度用户实际月支出 $50–$150。",[21,31244,31246],{"id":31245},"实测agent-3-一周观察","实测（Agent 3 一周观察）",[26,31248,31249,5072],{},[42,31250,22000],{},[36,31252,31253,31256,31259,31262],{},[39,31254,31255],{},"200 分钟自主运行真不是 PPT——实测一个 task manager + auth + Stripe 集成，约 75 分钟一气呵成",[39,31257,31258],{},"live browser 自检：UI 渲染异常会被它自己截图、识别、回头修代码",[39,31260,31261],{},"定时 \u002F 后台 agent：可以设「每天早上自动跑这个 lint 然后给我邮件」",[39,31263,31264],{},"部署是 first-class——拿到 URL 就能给客户演示",[26,31266,31267,5072],{},[42,31268,31269],{},"问题",[36,31271,31272,31275,31278,31281],{},[39,31273,31274],{},"200 分钟模式偶尔进入「错误循环」——一直在修同一个 bug 没出来，需要人工打断",[39,31276,31277],{},"国内访问 replit.com 部分节点不稳定，建议配合 CDN 或换 VPN 出口",[39,31279,31280],{},"跨语言能力一般：Python 全栈做得好，Go\u002FRust 写得磕磕绊绊",[39,31282,31283],{},"月底 effort 用完后体验断崖式下降",[21,31285,936],{"id":936},[630,31287,31288,31291,31294,31297,31300],{},[39,31289,31290],{},"replit.com 注册（Google\u002FGitHub OAuth），免费试 Agent",[39,31292,31293],{},"点 \"Create with Agent\"，描述 app（中文 OK）",[39,31295,31296],{},"选 Autonomy 档位：原型用 Medium，完整 app 用 High\u002FMax",[39,31298,31299],{},"等 Agent 自己写、跑、修；进度条 + 实时 chat",[39,31301,31302,31303,31305],{},"满意 → \"Deploy\"，秒得 ",[204,31304,31175],{}," URL",[21,31307,22065],{"id":22065},[366,31309,31310,31324],{},[369,31311,31312],{},[372,31313,31314,31316,31318,31320,31322],{},[375,31315,377],{},[375,31317,29563],{},[375,31319,6034],{},[375,31321,6039],{},[375,31323,6043],{},[390,31325,31326,31344,31359,31374,31386,31398],{},[372,31327,31328,31331,31336,31339,31341],{},[395,31329,31330],{},"单次自主时长",[395,31332,31333],{},[42,31334,31335],{},"200 分钟",[395,31337,31338],{},"~30 分钟",[395,31340,31338],{},[395,31342,31343],{},"短（组件级）",[372,31345,31346,31348,31351,31354,31357],{},[395,31347,14661],{},[395,31349,31350],{},"内置（Replit Cloud）",[395,31352,31353],{},"外接 Netlify\u002FVercel",[395,31355,31356],{},"外接",[395,31358,29640],{},[372,31360,31361,31364,31367,31369,31372],{},[395,31362,31363],{},"后端 \u002F 数据库",[395,31365,31366],{},"内置 Postgres",[395,31368,443],{},[395,31370,31371],{},"Supabase 强集成",[395,31373,443],{},[372,31375,31376,31378,31380,31382,31384],{},[395,31377,23243],{},[395,31379,4233],{},[395,31381,1155],{},[395,31383,4233],{},[395,31385,1155],{},[372,31387,31388,31390,31392,31394,31396],{},[395,31389,5590],{},[395,31391,22158],{},[395,31393,22158],{},[395,31395,22158],{},[395,31397,22158],{},[372,31399,31400,31403,31406,31409,31411],{},[395,31401,31402],{},"Mobile app",[395,31404,31405],{},"React Native + Expo",[395,31407,31408],{},"否",[395,31410,31408],{},[395,31412,31408],{},[21,31414,521],{"id":521},[36,31416,31417,31423,31429,31435,31444],{},[39,31418,31419,31422],{},[42,31420,31421],{},"Max Autonomy 看着诱人，谨慎用","：200 分钟跑歪了你也得为 effort 买单，初次写新功能先用 High 看看节奏",[39,31424,31425,31428],{},[42,31426,31427],{},"effort 用完前 checkpoint 一次","：Free \u002F Core 都有快照机制，定期保存可避免 Agent 把项目搞坏后无法回退",[39,31430,31431,31434],{},[42,31432,31433],{},"大文件 \u002F 大数据集传不进去","：Replit 的 storage 有上限，重型项目还是得 git push 到本地 \u002F GitHub",[39,31436,31437,31443],{},[42,31438,31439,31440],{},"生产部署要离开 ",[204,31441,31442],{},".replit.app","：自定义域名需要 Teams 起步，且高并发场景 Replit Cloud 不如 Vercel\u002FCloudflare",[39,31445,31446,31449],{},[42,31447,31448],{},"国内访问波动","：长 session 中断会丢上下文，重要项目建议白天稳定时段做",[21,31451,575],{"id":574},[36,31453,31454,31457,31460,31463,31466],{},[39,31455,31456],{},"✅ 非技术创始人 MVP \u002F hackathon 24h 出 demo",[39,31458,31459],{},"✅ 教育场景（带学生从 0 到部署）",[39,31461,31462],{},"✅ 想要『写完即部署』、不愿配置 hosting 的人",[39,31464,31465],{},"❌ 要把代码进企业 monorepo \u002F CI \u002F 私有 K8s",[39,31467,31468],{},"❌ Go \u002F Rust \u002F Java 重型后端",[21,31470,604],{"id":604},[36,31472,31473,31478,31483,31489],{},[39,31474,31475],{},[610,31476,31477],{"href":29868},"Bolt.new 评测",[39,31479,31480],{},[610,31481,31482],{"href":31083},"Lovable 评测",[39,31484,31485],{},[610,31486,31488],{"href":31487},"\u002Ftools\u002Fcoding\u002Fbuilder\u002Fv0","v0 评测",[39,31490,31491,31493],{},[610,31492,24585],{"href":23432},"（更贵但更深的自主 Agent）",[21,31495,628],{"id":628},[630,31497,31498,31505,31512,31519],{},[39,31499,31500,31501],{},"AgentsDB — Replit Agent 3 Autonomy（2025-11-03）",[610,31502,31503],{"href":31503,"rel":31504},"https:\u002F\u002Fagentsdb.com\u002Freplit-agent-3-crosses-autonomy-threshold-for-developer-agents",[639],[39,31506,31507,31508],{},"WhatAI — Replit Agent 2026 Review（2026-06-13）",[610,31509,31510],{"href":31510,"rel":31511},"https:\u002F\u002Fwhataidoineed.com\u002Fblog\u002Freplit-agent-in-2026-what-it-can-build-real-use-cases-case-studies-how-it-works",[639],[39,31513,31514,31515],{},"Serenities — Replit Agent 2026 Verdict（2026-03-04）",[610,31516,31517],{"href":31517,"rel":31518},"https:\u002F\u002Fserenitiesai.com\u002Farticles\u002Freplit-agent-2026-features-pricing-review",[639],[39,31520,31521,31522],{},"AgentMarketCap — 200-Minute Runtime（2026-05-23）",[610,31523,31524],{"href":31524,"rel":31525},"https:\u002F\u002Fagentmarketcap.ai\u002Fblog\u002F2026\u002F05\u002F23\u002Freplit-agent-3-200-minute-autonomous-runtime",[639],{"title":202,"searchDepth":250,"depth":250,"links":31527},[31528,31529,31530,31531,31532,31533,31534,31535,31536,31537],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":22440,"depth":224,"text":22441},{"id":31245,"depth":224,"text":31246},{"id":936,"depth":224,"text":936},{"id":22065,"depth":224,"text":22065},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Freplit-agent.webp","Replit Agent 真实评测：Agent 3 在 2026 年扩展到 200 分钟 Max Autonomy 自主运行，浏览器内即可完成 plan → code → test → deploy，是非技术创始人和教育场景的最强 builder。",[31541,31544,31547,31550],{"q":31542,"a":31543},"Agent 3 和 Agent 2 区别在哪？","Agent 3（2025-09 起）加入了 live browser 自检、反思循环自动 fix bug、可生成子 Agent \u002F 定时任务、可单次最长 200 分钟无人值守运行。这是和 Cursor Composer（~30 分钟会话）最大的差距。",{"q":31545,"a":31546},"实际能完整产出什么？","典型 CRUD app（Next.js \u002F Flask + Postgres + auth + 部署）从 prompt 到 live URL 约 10–15 分钟。复杂应用（数据流、第三方集成）需要 30–60 分钟 Max Autonomy。",{"q":31548,"a":31549},"中文友好吗？","界面支持中文，Agent 听懂中文 prompt 没问题；但默认 LLM 走美国节点，速度比国内 Trae \u002F 通义灵码 慢，且偶有网络抖动。",{"q":31551,"a":31552},"ACU \u002F effort 是什么？","Replit 用『effort-based』计费——一次复杂任务约 0.1–1 effort，简单提问 \u003C 0.05。Core $25\u002F月含基础 effort 池，超出按 $0.25\u002Feffort 起。",[696,697],{},"\u002Ftools\u002Fcoding\u002Fbuilder\u002Freplit-agent",[704,31557],"mobile",[31559,31562,31564,31566],{"plan":843,"price":31560,"seats":13764,"notes":31561},"$0\u002F月","限额 checkpoint、公共 repl、试用 Agent",{"plan":23043,"price":4233,"seats":13764,"notes":31563},"含基础 effort credits，私有项目，部署 \u002F 数据库",{"plan":23132,"price":31224,"seats":22929,"notes":31565},"共享 workspace、池化 credits、角色权限",{"plan":833,"price":716,"seats":5724,"notes":31567},"SSO、私有 cloud、合规、SLA","Free 限额 \u002F Core $25·月含 ACU \u002F Teams $35·席·月 \u002F Enterprise 定制",[28001,31570],"deploy\u002Fai-auto-deploy",[29889],{"power":264,"ux":264,"price":250,"cn_support":250,"stability":257},{"title":29563,"description":31539},"Replit Agent 评测 2026：浏览器内 AI 全栈开发，一键部署应用",[31576,31578,31580,31582],{"name":31577,"url":31503,"accessed":732},"AgentsDB — Replit Agent 3 autonomy",{"name":31579,"url":31510,"accessed":732},"WhatAI — Replit Agent 2026 review",{"name":31581,"url":31517,"accessed":732},"Serenities — Replit Agent 2026 verdict",{"name":31583,"url":31524,"accessed":732},"AgentMarketCap — 200-minute runtime","tools\u002Fcoding\u002Fbuilder\u002Freplit-agent","浏览器内 200 分钟自主开发 + 部署的全栈 Agent（Agent 3）",[29914,29915,31587,31588,5765,31557],"deploy","education","教育\u002F非技术创始人最友好的 AI 全栈 Builder。Agent 3 把自主时长拉到 200 分钟，是 Bolt\u002FLovable 没法对标的优势。","https:\u002F\u002Freplit.com","jRQKCNF91x3d54OFruX6f-Susmto3yLHzjmYZj-XhVM",{"id":31593,"title":31594,"alternatives":31595,"api_compatible":16,"body":31596,"category":29838,"chinese_friendly":224,"cover":32061,"description":32062,"domestic":680,"extension":681,"faq":32063,"free":680,"github":16,"languages":32076,"lastVerified":16,"meta":32077,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":32078,"pillar":22297,"platforms":32079,"priceTable":32080,"pricing":32092,"published":720,"relatedPlaybooks":32093,"relatedReviews":16,"score":32095,"self_host":680,"seo":32096,"seoTitle":32097,"slug":32098,"sources":32099,"stem":32108,"suitable":16,"tagline":32109,"tags":32110,"updated":732,"verdict":32115,"website":32116,"__hash__":32117},"tools\u002Ftools\u002Fcoding\u002Fbuilder\u002Ftempo.md","Tempo",[29894,29309,29310,29311],{"type":18,"value":31597,"toc":32049},[31598,31600,31603,31606,31608,31663,31665,31683,31688,31692,31696,31716,31720,31743,31745,31768,31770,31910,31912,31962,31964,31996,31998,32017,32019],[21,31599,24],{"id":23},[26,31601,31602],{},"Tempo 是 YC 出身的 React-first AI 应用构建平台。差异点：多 agent 先生成 user-flow 图 → 用户确认 → 再写代码（不像 Bolt 直接 jump-to-code）；可视化编辑器编辑的是真 React，而非 HTML\u002FCSS 模拟；一键 GitHub PR；MCP App Store 一键插 Stripe \u002F Auth \u002F 邮件。Free 起步、Pro ~$30\u002F月 flat-rate message credits、Agent+ $4,500\u002F月含人工设计 + code 审计。React-only。",[26,31604,31605],{},"适合：React 栈的 solo \u002F 早期团队想要『可视化 + 真代码 + PR-friendly』；产品复杂度中等以上需要 user-flow 规划；设计师 + 前端工程师协作。不适合：Vue \u002F Svelte \u002F Solid 栈；纯 landing page（杀鸡用牛刀）；纯后端 \u002F API；预算极紧（Free 配额很快用完）。",[21,31607,34],{"id":34},[36,31609,31610,31616,31622,31628,31634,31640,31646,31652,31658],{},[39,31611,31612,31615],{},[42,31613,31614],{},"多 agent 规划","：先出 user-flow 图（页面 \u002F 状态 \u002F 数据流）→ 确认 → 写代码",[39,31617,31618,31621],{},[42,31619,31620],{},"可视化编辑真 React","：选元素改样式 \u002F 布局，输出 production React，不是 HTML 模拟",[39,31623,31624,31627],{},[42,31625,31626],{},"GitHub PR 推送","：一键开 PR，沿用团队 review 流程",[39,31629,31630,31633],{},[42,31631,31632],{},"MCP App Store","：Stripe \u002F Resend \u002F Clerk \u002F OpenAI agent \u002F 消息一键集成",[39,31635,31636,31639],{},[42,31637,31638],{},"Figma 导入","：设计稿 → React + Tailwind",[39,31641,31642,31645],{},[42,31643,31644],{},"shadcn \u002F Tailwind 内置","：组件库一等公民",[39,31647,31648,31651],{},[42,31649,31650],{},"多端","：Web + macOS（含 Intel）+ Windows + Linux 客户端",[39,31653,31654,31657],{},[42,31655,31656],{},"flat-rate message credits","：不按 token，预算可预测",[39,31659,31660],{},[42,31661,31662],{},"实时预览 + 协作",[21,31664,108],{"id":108},[36,31666,31667,31672,31677],{},[39,31668,31669,31671],{},[42,31670,843],{},"：$0，有限 credits，验证够用",[39,31673,31674,31676],{},[42,31675,849],{},"：~$30\u002F月，flat-rate message credits + 全 AI + 完整代码导出",[39,31678,31679,31682],{},[42,31680,31681],{},"Agent+","：$4,500\u002F月，AI + 人工设计 review + code 审计",[130,31684,31685],{},[26,31686,31687],{},"真实陷阱：Free 复杂项目几天用完；Agent+ 价位是给 design agency \u002F Series B 团队，solo 别上。",[21,31689,31691],{"id":31690},"实测solo-founder-react-tailwind-产品","实测（solo founder \u002F React + Tailwind 产品）",[26,31693,31694],{},[42,31695,143],{},[36,31697,31698,31701,31704,31707,31710,31713],{},[39,31699,31700],{},"user-flow 规划阶段帮 think before code，避免改了三次还偏",[39,31702,31703],{},"编辑真 React 体验比 Figma → 切图工作流流畅 10 倍",[39,31705,31706],{},"GitHub PR 让生成代码进入正常 review 流程，不像 Bolt 那种黑盒",[39,31708,31709],{},"MCP App Store 加 Stripe + Auth 一晚上跑通",[39,31711,31712],{},"flat-rate credits 比 token-based 容易预算",[39,31714,31715],{},"shadcn \u002F Tailwind 输出代码干净，老工程师不抗拒",[26,31717,31718],{},[42,31719,168],{},[36,31721,31722,31725,31728,31731,31734,31737,31740],{},[39,31723,31724],{},"React-only 是真硬性约束，stack 不匹配就别尝试",[39,31726,31727],{},"复杂业务逻辑（多角色权限 \u002F 工作流引擎）AI 规划深度不够",[39,31729,31730],{},"自定义 design system 不强，team brand 落地要手动",[39,31732,31733],{},"中文 UI \u002F 文档弱，prompt 用英文最佳",[39,31735,31736],{},"Agent+ $4,500\u002F月对个人 \u002F 早期团队明显过位",[39,31738,31739],{},"偶尔 multi-agent 阶段卡顿，要重试",[39,31741,31742],{},"数据持久化 \u002F 后端 API 仍要自己接（Tempo 主攻前端）",[21,31744,936],{"id":936},[630,31746,31747,31750,31753,31756,31759,31762,31765],{},[39,31748,31749],{},"tempo.new → 注册（GitHub \u002F Google）→ 下客户端或用 Web",[39,31751,31752],{},"新建项目 → 写需求 prompt（含 user-flow 偏好）",[39,31754,31755],{},"multi-agent 出 user-flow 图 → 审阅 \u002F 改 → 确认",[39,31757,31758],{},"自动生成 React + Tailwind + shadcn 代码",[39,31760,31761],{},"可视化编辑器调样式 \u002F 布局，AI prompt 调逻辑",[39,31763,31764],{},"MCP App Store 加 Stripe \u002F Clerk \u002F Resend",[39,31766,31767],{},"GitHub 连接 → 一键 PR → 团队 review → merge",[21,31769,364],{"id":364},[366,31771,31772,31786],{},[369,31773,31774],{},[372,31775,31776,31778,31780,31782,31784],{},[375,31777,377],{},[375,31779,31594],{},[375,31781,6034],{},[375,31783,6039],{},[375,31785,6043],{},[390,31787,31788,31803,31816,31830,31843,31855,31868,31882,31895],{},[372,31789,31790,31792,31795,31798,31800],{},[395,31791,2367],{},[395,31793,31794],{},"React-first builder",[395,31796,31797],{},"全栈 prompt-to-app",[395,31799,31797],{},[395,31801,31802],{},"UI 组件生成",[372,31804,31805,31807,31810,31812,31814],{},[395,31806,31614],{},[395,31808,31809],{},"✅ user-flow 图",[395,31811,440],{},[395,31813,440],{},[395,31815,437],{},[372,31817,31818,31821,31824,31826,31828],{},[395,31819,31820],{},"可视化编辑真代码",[395,31822,31823],{},"✅ React",[395,31825,437],{},[395,31827,437],{},[395,31829,437],{},[372,31831,31832,31834,31837,31839,31841],{},[395,31833,23923],{},[395,31835,31836],{},"✅ 一键",[395,31838,1100],{},[395,31840,1100],{},[395,31842,1100],{},[372,31844,31845,31847,31849,31851,31853],{},[395,31846,31632],{},[395,31848,1100],{},[395,31850,437],{},[395,31852,437],{},[395,31854,437],{},[372,31856,31857,31859,31861,31863,31865],{},[395,31858,30561],{},[395,31860,30564],{},[395,31862,30567],{},[395,31864,30567],{},[395,31866,31867],{},"React (shadcn)",[372,31869,31870,31873,31876,31878,31880],{},[395,31871,31872],{},"代码导出",[395,31874,31875],{},"✅ Pro+",[395,31877,1100],{},[395,31879,1100],{},[395,31881,1100],{},[372,31883,31884,31886,31889,31891,31893],{},[395,31885,1152],{},[395,31887,31888],{},"$30\u002Fmo",[395,31890,20185],{},[395,31892,20185],{},[395,31894,20185],{},[372,31896,31897,31899,31902,31905,31907],{},[395,31898,506],{},[395,31900,31901],{},"React 开发者 + 早期团队",[395,31903,31904],{},"full-stack 快速验证",[395,31906,31904],{},[395,31908,31909],{},"UI 组件",[21,31911,521],{"id":521},[36,31913,31914,31920,31926,31932,31938,31944,31950,31956],{},[39,31915,31916,31919],{},[42,31917,31918],{},"stack 必须是 React","：Vue \u002F Svelte \u002F Solid 走别处，不要硬塞",[39,31921,31922,31925],{},[42,31923,31924],{},"复杂业务逻辑分多 prompt","：一次喂太大 user-flow agent 会丢细节",[39,31927,31928,31931],{},[42,31929,31930],{},"数据 \u002F 后端自己接","：Tempo 前端为主，Supabase \u002F Convex \u002F 自家 API 都得手动接",[39,31933,31934,31937],{},[42,31935,31936],{},"Pro 配额监控","：复杂项目 flat-rate 也会用尽，要看 dashboard",[39,31939,31940,31943],{},[42,31941,31942],{},"Agent+ 不要冲动","：$4,500\u002F月是给设计公司，先 Pro 跑两月看 ROI",[39,31945,31946,31949],{},[42,31947,31948],{},"GitHub PR 别盲 merge","：AI 生成的 React 偶有 anti-pattern（useEffect 滥用 \u002F 多余 state），人工 review",[39,31951,31952,31955],{},[42,31953,31954],{},"多 agent 卡顿","：失败重试 \u002F 简化 prompt，避免一次喂太多需求",[39,31957,31958,31961],{},[42,31959,31960],{},"brand \u002F design system","：自家品牌深度定制要在生成后手动调，AI 主要给通用模板",[21,31963,575],{"id":574},[36,31965,31966,31969,31972,31975,31978,31981,31984,31987,31990,31993],{},[39,31967,31968],{},"✅ React 栈 solo \u002F 早期团队",[39,31970,31971],{},"✅ 中等复杂度产品（多页 + 简单业务逻辑）",[39,31973,31974],{},"✅ 设计师 + 前端协作（可视化 + 真代码）",[39,31976,31977],{},"✅ 需要 GitHub PR-friendly 流程",[39,31979,31980],{},"✅ flat-rate 预算偏好",[39,31982,31983],{},"❌ Vue \u002F Svelte \u002F Solid 栈",[39,31985,31986],{},"❌ 纯 landing page（Framer \u002F Webflow 更快）",[39,31988,31989],{},"❌ 纯后端 \u002F API",[39,31991,31992],{},"❌ 极复杂业务（多角色 \u002F 工作流引擎）",[39,31994,31995],{},"❌ 预算极紧（Free 不够，Pro 是底线）",[21,31997,604],{"id":604},[36,31999,32000,32004,32008,32012],{},[39,32001,32002],{},[610,32003,31477],{"href":29868},[39,32005,32006],{},[610,32007,31482],{"href":31083},[39,32009,32010],{},[610,32011,31488],{"href":31487},[39,32013,32014],{},[610,32015,32016],{"href":31555},"Replit Agent 评测",[21,32018,628],{"id":628},[630,32020,32021,32028,32035,32042],{},[39,32022,32023,32024],{},"Tempo 官网（产品定位 + 真 React 编辑）",[610,32025,32026],{"href":32026,"rel":32027},"https:\u002F\u002Fwww.tempo.new\u002F",[639],[39,32029,32030,32031],{},"VibeCoding — Tempo Review 2026（多 agent \u002F Agent+ $4,500 \u002F MCP App Store）",[610,32032,32033],{"href":32033,"rel":32034},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Ftempo-review",[639],[39,32036,32037,32038],{},"AI Tools Mentor — Tempo Pricing & Specs（Free \u002F Pro $30）",[610,32039,32040],{"href":32040,"rel":32041},"https:\u002F\u002Fwww.aitoolsmentor.com\u002Ftool\u002Ftempo",[639],[39,32043,32044,32045],{},"TheseAITools — Tempo Labs 功能 \u002F 用例 ",[610,32046,32047],{"href":32047,"rel":32048},"https:\u002F\u002Ftheseaitools.com\u002Ftools\u002Ftempo-labs",[639],{"title":202,"searchDepth":250,"depth":250,"links":32050},[32051,32052,32053,32054,32055,32056,32057,32058,32059,32060],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":31690,"depth":224,"text":31691},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Ftempo.webp","Tempo Labs 真实评测：YC 出身的 React-first AI 应用构建平台。多 agent 规划（出 user-flow 图再写代码）+ 可视化编辑器直接改产线 React + GitHub PR 推送 + MCP App Store（Stripe\u002FResend\u002FAuth 一键加）。Free + Pro $30\u002F月 flat-rate message credits + Agent+ $4,500\u002F月 含人工设计 \u002F code 审计。React-only 是定位也是局限。",[32064,32067,32070,32073],{"q":32065,"a":32066},"和 Bolt.new \u002F Lovable \u002F v0 怎么选？","Tempo 主打『编辑真代码 + 可视化』，目标群体是已经懂 React 的开发者 \u002F 早期团队，输出 production React 代码 + GitHub PR。Bolt.new \u002F Lovable 更偏全栈 prompt-to-app（含后端 + 部署），v0 偏 shadcn UI 组件生成。要 React 控制度 + PR 工作流走 Tempo；要『一句话出可用应用』走 Bolt \u002F Lovable；要 UI 组件库走 v0。",{"q":32068,"a":32069},"为什么只支持 React？","Tempo 把所有精力压在 React 生态（含 shadcn \u002F Tailwind \u002F Next.js），换来更深度的可视化编辑 + 更干净的代码输出。代价是 Vue \u002F Svelte \u002F Solid 用户用不了——官方明确这是 deliberate trade-off。",{"q":32071,"a":32072},"Multi-agent 规划具体怎么工作？","Tempo 的差异点：写需求后，先有 agent 生成 user-flow 图（页面 \u002F 状态 \u002F 数据流），用户确认后再多个 agent 协作写代码——而不是直接 jump-to-code。适合中等复杂度产品；简单 landing page 反而觉得啰嗦。",{"q":32074,"a":32075},"MCP App Store 提供什么？","Tempo 内置的插件市场：Stripe 支付 \u002F Resend 邮件 \u002F Clerk Auth \u002F OpenAI agent \u002F 消息推送等，一键插入到生成的应用，不用自己写 integration 代码。这是 2026 年 builder 类工具普遍补齐的能力。",[697],{},"\u002Ftools\u002Fcoding\u002Fbuilder\u002Ftempo",[704,1348,1349,1350],[32081,32084,32088],{"plan":843,"price":707,"features":32082,"notes":32083},"基础访问 + 有限 message credits + 小项目验证","试水 \u002F hobby",{"plan":849,"price":32085,"features":32086,"notes":32087},"~$30\u002F月","更高 message 配额 + 全 AI 特性 + 完整代码导出 + GitHub PR + MCP App Store","solo \u002F 早期团队主力档",{"plan":31681,"price":32089,"features":32090,"notes":32091},"$4,500\u002F月","AI 生成 + 人工设计审查 + code 审计 + 优先支持","design-heavy 团队","Free \u002F Pro ~$30\u002F月 \u002F Agent+ $4,500\u002F月（含人工设计 + code 审计）",[32094],"onboarding\u002Fv0-cursor-workflow",{"power":257,"ux":264,"price":250,"cn_support":224,"stability":257},{"title":31594,"description":32062},"Tempo - React AI 应用构建平台评测 | AIHO","coding\u002Fbuilder\u002Ftempo",[32100,32102,32104,32106],{"name":32101,"url":32026,"accessed":732},"Tempo 官网",{"name":32103,"url":32033,"accessed":732},"VibeCoding — Tempo Review 2026（多 agent \u002F Agent+ 定价）",{"name":32105,"url":32040,"accessed":732},"AI Tools Mentor — Tempo Pricing & Specs",{"name":32107,"url":32047,"accessed":732},"TheseAITools — Tempo Labs Features","tools\u002Fcoding\u002Fbuilder\u002Ftempo","React-first prompt-to-app + 多 agent 规划 + 可视化编辑——直接编辑产线 React 代码",[32111,32112,32113,3369,32114,31123,1392],"react","app-builder","vibe-coding","figma","React 栈想要『可视化 + 真代码 + PR-friendly』的 solo \u002F 早期团队首选。stack 非 React → Bolt.new \u002F Lovable \u002F v0。Agent+ $4,500 太贵适合 design-heavy team。","https:\u002F\u002Fwww.tempo.new","QjK0l1eL97vFMRoMhduGUhfTi9mpAwVEP8lfA8SFqic",{"id":32119,"title":6043,"alternatives":32120,"api_compatible":16,"body":32121,"category":29838,"chinese_friendly":250,"cover":32537,"description":32538,"domestic":680,"extension":681,"faq":32539,"free":680,"github":16,"languages":32552,"lastVerified":16,"meta":32553,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":31487,"pillar":22297,"platforms":32554,"priceTable":32555,"pricing":32566,"published":720,"relatedPlaybooks":32567,"relatedReviews":32569,"score":32570,"self_host":680,"seo":32571,"seoTitle":32572,"slug":29310,"sources":32573,"stem":32580,"suitable":16,"tagline":32581,"tags":32582,"updated":732,"verdict":32588,"website":32130,"__hash__":32589},"tools\u002Ftools\u002Fcoding\u002Fbuilder\u002Fv0.md",[29894,29309,29311],{"type":18,"value":32122,"toc":32525},[32123,32125,32134,32137,32139,32146,32149,32175,32179,32261,32264,32271,32275,32279,32290,32294,32308,32310,32330,32332,32426,32428,32463,32465,32479,32481,32500,32502],[21,32124,24],{"id":23},[26,32126,32127,32128,32133],{},"v0 是 Vercel 的 AI UI 生成器，定位是「把自然语言\u002F截图变成可用的 React + Tailwind + shadcn\u002Fui 组件」。2026 年迁到 ",[610,32129,32132],{"href":32130,"rel":32131},"https:\u002F\u002Fv0.app",[639],"v0.app","（原 v0.dev），引入 Mini \u002F Pro \u002F Max 三档专属模型 + 积分制：Free $5、Premium $20\u002F月（$20 credits）、Team $30\u002F席。输出质量是同类最好——一行不改就能进生产的 shadcn 代码，是其他 builder 比不上的。",[26,32135,32136],{},"适合：前端工程师做 UI 草稿、设计稿 → 代码、营销页\u002F控制台快速搭建。不适合：要带数据库 + 鉴权 + 部署的完整 SaaS——那是 Bolt \u002F Lovable \u002F Replit Agent 的地盘。",[21,32138,21844],{"id":21844},[26,32140,32141,32142,32145],{},"v0 不是 IDE 也不是「全栈一句话出 SaaS」类工具，它专注做一件事：",[42,32143,32144],{},"把描述\u002F图片变成高质量 React 组件","。底座是 Next.js 14+、Tailwind、shadcn\u002Fui，输出符合现代前端工程标准——可访问性、响应式、TypeScript、服务端组件、loading\u002Ferror state。",[26,32147,32148],{},"2026 年的 v0 已不是单组件玩具：",[36,32150,32151,32157,32163,32169],{},[39,32152,32153,32156],{},[42,32154,32155],{},"多页应用生成","：可以一次性吐出含导航、布局、多个路由的完整 Next.js 项目骨架",[39,32158,32159,32162],{},[42,32160,32161],{},"三档模型","：Mini（便宜快）\u002F Pro（默认）\u002F Max（高质量复杂任务），积分消耗不同",[39,32164,32165,32168],{},[42,32166,32167],{},"Git\u002F部署","：内置项目管理 + 一键 deploy 到 Vercel，Premium 起可导出到 GitHub",[39,32170,32171,32174],{},[42,32172,32173],{},"图像理解","：丢一张设计稿\u002F截图，直接给你 pixel-perfect 的 shadcn 实现",[21,32176,32178],{"id":32177},"价格2026-年-6-月按官方与第三方追踪综合","价格（2026 年 6 月，按官方与第三方追踪综合）",[366,32180,32181,32194],{},[369,32182,32183],{},[372,32184,32185,32187,32189,32192],{},[375,32186,21887],{},[375,32188,108],{},[375,32190,32191],{},"月度 credits",[375,32193,23034],{},[390,32195,32196,32208,32225,32238,32250],{},[372,32197,32198,32200,32202,32205],{},[395,32199,843],{},[395,32201,707],{},[395,32203,32204],{},"$5",[395,32206,32207],{},"200 项目、带水印、public only",[372,32209,32210,32215,32219,32222],{},[395,32211,32212],{},[42,32213,32214],{},"Premium",[395,32216,32217],{},[42,32218,1155],{},[395,32220,32221],{},"$20",[395,32223,32224],{},"自定义域名、私有项目、GitHub 导出",[372,32226,32227,32229,32232,32235],{},[395,32228,867],{},[395,32230,32231],{},"$30\u002F席\u002F月",[395,32233,32234],{},"$30\u002F席",[395,32236,32237],{},"共享 workspace、池化 credits、年付约 8 折",[372,32239,32240,32242,32245,32247],{},[395,32241,30638],{},[395,32243,32244],{},"$100\u002F席\u002F月",[395,32246,32234],{},[395,32248,32249],{},"SOC 2、私有部署增强、合规审计",[372,32251,32252,32254,32256,32258],{},[395,32253,833],{},[395,32255,716],{},[395,32257,716],{},[395,32259,32260],{},"SSO\u002FSAML、专属支持",[26,32262,32263],{},"积分消耗模型：「一次生成 = 1+ credits，按 token + 选用模型档位计费」。读代码、聊天不耗。Pro 档一次复杂多页生成约 $1–$3 credits，Max 档可能 $3–$8。",[26,32265,32266,32267,32270],{},"注意 ",[42,32268,32269],{},"hosting"," 是另一笔钱：v0 自己不收 hosting 费，但 Vercel Hobby 免费够 demo，生产建议升 Vercel Pro（$20\u002F席\u002F月）。整体 TCO ≈ $40\u002F月入门。",[21,32272,32274],{"id":32273},"实测一周高强度试用观察","实测（一周高强度试用观察）",[26,32276,32277,5072],{},[42,32278,22512],{},[36,32280,32281,32284,32287],{},[39,32282,32283],{},"shadcn 代码质量明显高一档，几乎可以 copy 进生产代码库",[39,32285,32286],{},"图像 → 代码的还原度是同类第一（实测一张 Figma 截图 → 90% 还原）",[39,32288,32289],{},"多页生成的路由结构 \u002F loading state \u002F a11y 标签都按 Next.js 13+ 规范写",[26,32291,32292,5072],{},[42,32293,22019],{},[36,32295,32296,32299,32302,32305],{},[39,32297,32298],{},"不擅长后端：写 API route 经常瞎编 Prisma schema 或调错 SDK",[39,32300,32301],{},"积分易超：Max 档调一次复杂表单可能 $5+ credits，Premium 单月 $20 不够撑 50 次",[39,32303,32304],{},"中文 prompt 偶尔输出英文 UI，需要在描述里加「界面文案保持中文」",[39,32306,32307],{},"v0.dev → v0.app 迁移期，部分老链接 redirect 异常",[21,32309,936],{"id":936},[630,32311,32312,32315,32318,32321,32324],{},[39,32313,32314],{},"v0.app 注册（GitHub OAuth 最快），自动给 Free $5 credits",[39,32316,32317],{},"用一句话或截图描述 UI，选 Mini\u002FPro\u002FMax 模型档位",[39,32319,32320],{},"在 chat 里迭代修改，preview 实时更新",[39,32322,32323],{},"满意后 → GitHub 导出（需 Premium）或一键 Vercel deploy",[39,32325,32326,32327],{},"拷贝代码进现有项目——shadcn 组件可直接进 ",[204,32328,32329],{},"components\u002Fui\u002F",[21,32331,22065],{"id":22065},[366,32333,32334,32348],{},[369,32335,32336],{},[372,32337,32338,32340,32342,32344,32346],{},[375,32339,377],{},[375,32341,6043],{},[375,32343,6034],{},[375,32345,6039],{},[375,32347,29563],{},[390,32349,32350,32367,32384,32400,32413],{},[372,32351,32352,32355,32358,32361,32364],{},[395,32353,32354],{},"强项",[395,32356,32357],{},"组件 \u002F UI 还原",[395,32359,32360],{},"全栈应用 + WebContainer",[395,32362,32363],{},"全栈 + 数据库 + Auth",[395,32365,32366],{},"浏览器 IDE + 部署",[372,32368,32369,32372,32375,32378,32381],{},[395,32370,32371],{},"输出代码",[395,32373,32374],{},"Next.js + shadcn",[395,32376,32377],{},"Vite \u002F Next",[395,32379,32380],{},"Vite + Supabase",[395,32382,32383],{},"任意 stack",[372,32385,32386,32388,32391,32394,32397],{},[395,32387,23243],{},[395,32389,32390],{},"$20\u002F月 + Vercel",[395,32392,32393],{},"$20\u002F月 token",[395,32395,32396],{},"$25\u002F月 credits",[395,32398,32399],{},"Core $25\u002F月",[372,32401,32402,32404,32406,32408,32411],{},[395,32403,13517],{},[395,32405,443],{},[395,32407,2458],{},[395,32409,32410],{},"强（Supabase 集成）",[395,32412,10213],{},[372,32414,32415,32418,32420,32422,32424],{},[395,32416,32417],{},"Vercel 集成",[395,32419,27156],{},[395,32421,31408],{},[395,32423,31408],{},[395,32425,31408],{},[21,32427,521],{"id":521},[36,32429,32430,32436,32442,32448,32454],{},[39,32431,32432,32435],{},[42,32433,32434],{},"不要拿 v0 写后端","：API、数据库 schema、auth 流程交给 Cursor \u002F Codex \u002F Claude Code，v0 专心做 UI",[39,32437,32438,32441],{},[42,32439,32440],{},"Free 水印过不了客户验收","：演示前一定升 Premium 或自建部署",[39,32443,32444,32447],{},[42,32445,32446],{},"不要每次 prompt 都用 Max 档","：默认 Pro 已经够好，Max 留给复杂多页或像素级还原",[39,32449,32450,32453],{},[42,32451,32452],{},"批量生成 → 必走 GitHub 导出","：避免锁在 v0 项目里，万一改定价就被动",[39,32455,32456,32459,32460],{},[42,32457,32458],{},"shadcn 版本要对齐","：v0 用最新版 shadcn，旧项目导入前先 ",[204,32461,32462],{},"npx shadcn@latest init",[21,32464,575],{"id":574},[36,32466,32467,32470,32473,32476],{},[39,32468,32469],{},"✅ 前端工程师做组件、营销页、控制台 \u002F dashboard、设计稿落地",[39,32471,32472],{},"✅ 已经用 Next.js + Vercel + shadcn 技术栈的团队",[39,32474,32475],{},"❌ 想要「一句话出完整 SaaS」——选 Lovable \u002F Bolt",[39,32477,32478],{},"❌ 不用 React 的团队（Vue \u002F Svelte 党）",[21,32480,604],{"id":604},[36,32482,32483,32487,32491,32495],{},[39,32484,32485],{},[610,32486,31477],{"href":29868},[39,32488,32489],{},[610,32490,31482],{"href":31083},[39,32492,32493],{},[610,32494,32016],{"href":31555},[39,32496,32497,32499],{},[610,32498,21100],{"href":21099},"（写后端搭配 v0）",[21,32501,628],{"id":628},[630,32503,32504,32511,32518],{},[39,32505,32506,32507],{},"nocode.mba — V0 Pricing 2026（2026-03-02）",[610,32508,32509],{"href":32509,"rel":32510},"https:\u002F\u002Fwww.nocode.mba\u002Farticles\u002Fv0-pricing",[639],[39,32512,32513,32514],{},"automationatlas — v0 Pricing Explained 2026（2026-05-06）",[610,32515,32516],{"href":32516,"rel":32517},"https:\u002F\u002Fautomationatlas.io\u002Fanswers\u002Fv0-pricing-explained-2026",[639],[39,32519,32520,32521],{},"nxcode — v0 Complete Guide 2026（2026-03）",[610,32522,32523],{"href":32523,"rel":32524},"https:\u002F\u002Fwww.nxcode.io\u002Fresources\u002Fnews\u002Fv0-by-vercel-complete-guide-2026",[639],{"title":202,"searchDepth":250,"depth":250,"links":32526},[32527,32528,32529,32530,32531,32532,32533,32534,32535,32536],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":32177,"depth":224,"text":32178},{"id":32273,"depth":224,"text":32274},{"id":936,"depth":224,"text":936},{"id":22065,"depth":224,"text":22065},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fv0.webp","v0 真实评测：Vercel 出品的 AI UI 生成器，输入描述即可生成 React + Tailwind + shadcn\u002Fui 组件。2026 年迁移到 v0.app，按积分计费，Premium $20\u002F月含 $20 credits。",[32540,32543,32546,32549],{"q":32541,"a":32542},"v0 和 Bolt \u002F Lovable 怎么选？","v0 强在『组件级 \u002F 多页前端』和 shadcn 代码质量；Bolt \u002F Lovable 强在『完整全栈带后端』。前端工程师选 v0，非技术 PM 想要带数据库的应用选 Lovable。",{"q":32544,"a":32545},"积分用完会怎样？","Premium 单月 $20 credits 用完后无法继续生成，需要等下月或升级 Team；不会自动按 API 价继续扣，对预算友好。",{"q":32547,"a":32548},"生成代码能脱离 Vercel 跑吗？","能。v0 输出标准的 Next.js + shadcn\u002Fui，Premium 起支持 GitHub 导出，可部署到任意 Node 平台；但 v0 自带 preview\u002Fdeploy 走的是 Vercel。",{"q":32550,"a":32551},"为什么我的部署有水印？","Free tier 限制——public 项目 + Vercel 水印；升级 Premium 即可移除。",[697],{},[704],[32556,32558,32560,32562,32564],{"plan":843,"price":31560,"seats":13764,"notes":32557},"$5 credits\u002F月，200 项目上限，带水印部署",{"plan":32214,"price":1155,"seats":13764,"notes":32559},"$20 credits\u002F月，自定义域名，GitHub 导出",{"plan":867,"price":32231,"seats":22929,"notes":32561},"$30 credits\u002F席，共享工作区，年付约 8 折",{"plan":30638,"price":32244,"seats":22929,"notes":32563},"私有项目、SOC 2、增强隔离",{"plan":833,"price":716,"seats":5724,"notes":32565},"SSO\u002FSAML、审计日志、专属支持","Free $5 credits \u002F Premium $20·月 \u002F Team $30·席\u002F月 \u002F Business $100·席\u002F月",[32568,25341],"onboarding\u002Fcursor-mcp-deep-integration",[29889],{"power":257,"ux":264,"price":250,"cn_support":250,"stability":257},{"title":6043,"description":32538},"v0 评测 2026：Vercel AI 前端生成工具，React 组件与 Tailwind 代码生成",[32574,32576,32578],{"name":32575,"url":32509,"accessed":732},"nocode.mba — V0 Pricing 2026",{"name":32577,"url":32516,"accessed":732},"automationatlas — v0 pricing",{"name":32579,"url":32523,"accessed":732},"nxcode — v0 complete guide 2026","tools\u002Fcoding\u002Fbuilder\u002Fv0","Vercel 出品：从自然语言生成 React \u002F Next.js 组件",[32583,32111,32584,32585,32586,29916,32587],"ui-generator","nextjs","tailwind","shadcn","vercel","React\u002FNext.js 生态最好用的 AI UI 生成器；2026 改成 credit-based + 多 model（Mini\u002FPro\u002FMax），shadcn 输出一如既往是顶级品质。","Gc45HQILTQJupj8qk-_UFQ02MBuxWf2bz190MAmsSD8",{"id":32591,"title":1793,"alternatives":32592,"api_compatible":16,"body":32593,"category":22301,"chinese_friendly":250,"cover":33485,"description":33486,"domestic":680,"extension":681,"faq":16,"free":680,"github":33002,"languages":33487,"lastVerified":16,"meta":33488,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":2053,"pillar":22297,"platforms":33489,"priceTable":33490,"pricing":33500,"published":6699,"relatedPlaybooks":16,"relatedReviews":33501,"score":33505,"self_host":253,"seo":33506,"seoTitle":33507,"slug":1404,"sources":33508,"stem":33521,"suitable":16,"tagline":33522,"tags":33523,"updated":732,"verdict":33526,"website":33421,"__hash__":33527},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Faider.md",[1403,1405,22343],{"type":18,"value":32594,"toc":33468},[32595,32597,32619,32624,32626,32630,32633,32669,32673,32681,32701,32704,32745,32750,32753,32761,32829,32832,32836,32839,32841,32990,32992,33036,33046,33048,33085,33087,33211,33215,33237,33239,33335,33337,33339,33364,33366,33380,33382,33413,33415,33460,33465],[21,32596,24],{"id":23},[5783,32598,32600,32609],{"className":32599},[5786,5787,5788],[26,32601,32602,32604,32605,32608],{},[42,32603,5793],{}," Aider 把 \"AI 编辑代码\" 这件事拆成了 git 操作——每次对话结束自动 commit，回滚一行 ",[204,32606,32607],{},"git reset --hard HEAD~1"," 就行。没有 GUI、没有 IDE 插件、没有 Composer 那种漂亮 diff 面板，但你能拿到对开源项目最友好的工作流：bring your own key、bring your own model、bring your own editor。",[26,32610,32611,32612,32615,32616,32618],{},"代价是",[42,32613,32614],{},"学习曲线最陡","。第一次跑起来要花 10 分钟读文档，但跑顺了之后 ",[610,32617,1790],{"href":13587}," 用户都觉得\"为啥不直接 aider\"。",[130,32620,32621],{},[26,32622,32623],{},"来源说明：本文事实点基于 aider.chat 官方文档（modes.html \u002F llms.html \u002F HISTORY.html）和 GitHub 仓库归纳，命令、参数、模型列表以官方为准。",[21,32625,5893],{"id":5893},[5062,32627,32629],{"id":32628},"git-原生每次改动-一次-commit","Git 原生：每次改动 = 一次 commit",[26,32631,32632],{},"这是 Aider 与所有竞品的最大区别。其他 AI 编程工具改完文件丢给你看 diff，让你手动 stage \u002F commit；Aider 把 git 集成到工作流里：",[36,32634,32635,32645,32655,32666],{},[39,32636,32637,32638,10831,32641,32644],{},"每次对话改完代码，自动 ",[204,32639,32640],{},"git add",[204,32642,32643],{},"git commit","，commit message 由 weak-model 生成",[39,32646,32647,32648,32651,32652],{},"想撤回上一步：",[204,32649,32650],{},"\u002Fundo"," 或者直接 ",[204,32653,32654],{},"git reset",[39,32656,32657,32658,32661,32662,32665],{},"改坏了想从分叉点重来：",[204,32659,32660],{},"git checkout \u003Chash>"," 后继续 ",[204,32663,32664],{},"aider","，对话上下文还在",[39,32667,32668],{},"这也是为什么官方推荐 Aider 用在 git 仓库里——非 git 目录功能受限",[5062,32670,32672],{"id":32671},"architect-模式两个模型分工","Architect 模式：两个模型分工",[26,32674,32675,32676,5072],{},"Architect 模式把\"想方案\"和\"写代码\"拆给两个模型——根据 ",[610,32677,32680],{"href":32678,"rel":32679},"https:\u002F\u002Faider.chat\u002Fdocs\u002Fusage\u002Fmodes.html",[639],"官方 modes 文档",[36,32682,32683,32689,32695],{},[39,32684,32685,32688],{},[204,32686,32687],{},"--model","（architect）：负责高层方案推理。适合 o1 \u002F o3 \u002F DeepSeek R1 \u002F Claude Opus 这类强推理模型",[39,32690,32691,32694],{},[204,32692,32693],{},"--editor-model","：负责把方案落地成具体文件 diff。适合 GPT-4o \u002F Claude Sonnet 这类编辑能力强但推理一般的模型",[39,32696,32697,32700],{},[204,32698,32699],{},"--weak-model","（可选）：用来生成 commit message \u002F 简单重构。可以指定便宜模型省钱",[26,32702,32703],{},"启动示例：",[197,32705,32707],{"className":199,"code":32706,"language":201,"meta":202,"style":202},"aider --architect \\\n  --model deepseek\u002Fdeepseek-reasoner \\\n  --editor-model claude-3-5-sonnet-20241022 \\\n  --weak-model gpt-4o-mini\n",[204,32708,32709,32718,32727,32737],{"__ignoreMap":202},[207,32710,32711,32713,32716],{"class":209,"line":210},[207,32712,32664],{"class":213},[207,32714,32715],{"class":227}," --architect",[207,32717,341],{"class":227},[207,32719,32720,32722,32725],{"class":209,"line":224},[207,32721,347],{"class":227},[207,32723,32724],{"class":217}," deepseek\u002Fdeepseek-reasoner",[207,32726,341],{"class":227},[207,32728,32729,32732,32735],{"class":209,"line":250},[207,32730,32731],{"class":227},"  --editor-model",[207,32733,32734],{"class":217}," claude-3-5-sonnet-20241022",[207,32736,341],{"class":227},[207,32738,32739,32742],{"class":209,"line":257},[207,32740,32741],{"class":227},"  --weak-model",[207,32743,32744],{"class":217}," gpt-4o-mini\n",[130,32746,32747],{},[26,32748,32749],{},"据 Aider 官方 benchmark，DeepSeek R1（架构师）+ Claude 3.5 Sonnet（编辑器）的 Architect 组合，比任一模型单跑高约 10%。本数据来自 aider.chat\u002FHISTORY.html 与 pixelsham.com 的 2025-07 评测笔记。",[5062,32751,32752],{"id":32752},"几乎能接所有模型",[26,32754,32755,32760],{},[610,32756,32759],{"href":32757,"rel":32758},"https:\u002F\u002Faider.chat\u002Fdocs\u002Fllms.html",[639],"Aider 官方推荐"," 的\"最佳模型清单\"：",[366,32762,32763,32776],{},[369,32764,32765],{},[372,32766,32767,32770,32773],{},[375,32768,32769],{},"厂商",[375,32771,32772],{},"推荐模型",[375,32774,32775],{},"备注",[390,32777,32778,32788,32797,32807,32819],{},[372,32779,32780,32782,32785],{},[395,32781,4209],{},[395,32783,32784],{},"Claude Sonnet 4 \u002F 3.7 Sonnet",[395,32786,32787],{},"编辑能力最稳",[372,32789,32790,32792,32794],{},[395,32791,8605],{},[395,32793,9417],{},[395,32795,32796],{},"超长上下文",[372,32798,32799,32801,32804],{},[395,32800,8607],{},[395,32802,32803],{},"R1 + V3",[395,32805,32806],{},"性价比之王",[372,32808,32809,32811,32816],{},[395,32810,4206],{},[395,32812,32813,32814],{},"o3 \u002F o4-mini \u002F GPT-4.1 \u002F ",[610,32815,13157],{"href":13156},[395,32817,32818],{},"reasoning 路径",[372,32820,32821,32823,32826],{},[395,32822,7717],{},[395,32824,32825],{},"Ollama \u002F LM Studio 兼容 OpenAI API",[395,32827,32828],{},"完全离线",[26,32830,32831],{},"接入方式靠 LiteLLM 适配层，OpenRouter \u002F Bedrock \u002F Vertex \u002F xAI \u002F Groq \u002F Cohere \u002F Azure \u002F 私有 OpenAI 兼容端点 都支持——你能想到的 base_url，基本都行。",[5062,32833,32835],{"id":32834},"repo-map上下文召回的核心机制","Repo map：上下文召回的核心机制",[26,32837,32838],{},"Aider 用 tree-sitter 解析整个 git 仓库，生成一份压缩版的 \"repo map\"——把符号定义、函数签名、类层级提取出来塞进 prompt。模型不需要看到所有源代码就能理解项目结构。这是 Aider 在 polyglot benchmark 上能打过很多带 Composer 的工具的关键原因。",[21,32840,6151],{"id":6150},[197,32842,32844],{"className":199,"code":32843,"language":201,"meta":202,"style":202},"# 1. 安装（要 Python 3.9+）\npython -m pip install -U --upgrade-strategy only-if-needed aider-chat\n\n# 2. 进入 git 仓库\ncd your-project\n\n# 3. 设置 API key（任选其一）\nexport ANTHROPIC_API_KEY=sk-ant-...\nexport DEEPSEEK_API_KEY=sk-...\nexport OPENAI_API_KEY=sk-...\n\n# 4. 启动（默认会用环境变量里第一个能识别的 key）\naider\n\n# 或指定模型\naider --model deepseek\u002Fdeepseek-chat\naider --model claude-3-5-sonnet-20241022\n\n# 5. 在 aider 里直接用自然语言下指令\n> 把 server\u002Fapi\u002Fuser.ts 里的 getUserById 改成支持批量查询\n",[204,32845,32846,32851,32874,32878,32883,32890,32894,32899,32910,32922,32932,32936,32941,32946,32950,32955,32965,32974,32978,32983],{"__ignoreMap":202},[207,32847,32848],{"class":209,"line":210},[207,32849,32850],{"class":260},"# 1. 安装（要 Python 3.9+）\n",[207,32852,32853,32855,32857,32860,32862,32865,32868,32871],{"class":209,"line":224},[207,32854,335],{"class":213},[207,32856,5369],{"class":227},[207,32858,32859],{"class":217}," pip",[207,32861,241],{"class":217},[207,32863,32864],{"class":227}," -U",[207,32866,32867],{"class":227}," --upgrade-strategy",[207,32869,32870],{"class":217}," only-if-needed",[207,32872,32873],{"class":217}," aider-chat\n",[207,32875,32876],{"class":209,"line":250},[207,32877,254],{"emptyLinePlaceholder":253},[207,32879,32880],{"class":209,"line":257},[207,32881,32882],{"class":260},"# 2. 进入 git 仓库\n",[207,32884,32885,32887],{"class":209,"line":264},[207,32886,228],{"class":227},[207,32888,32889],{"class":217}," your-project\n",[207,32891,32892],{"class":209,"line":276},[207,32893,254],{"emptyLinePlaceholder":253},[207,32895,32896],{"class":209,"line":281},[207,32897,32898],{"class":260},"# 3. 设置 API key（任选其一）\n",[207,32900,32901,32903,32905,32907],{"class":209,"line":287},[207,32902,1641],{"class":306},[207,32904,1644],{"class":234},[207,32906,1647],{"class":306},[207,32908,32909],{"class":234},"sk-ant-...\n",[207,32911,32912,32914,32917,32919],{"class":209,"line":321},[207,32913,1641],{"class":306},[207,32915,32916],{"class":234}," DEEPSEEK_API_KEY",[207,32918,1647],{"class":306},[207,32920,32921],{"class":234},"sk-...\n",[207,32923,32924,32926,32928,32930],{"class":209,"line":326},[207,32925,1641],{"class":306},[207,32927,1657],{"class":234},[207,32929,1647],{"class":306},[207,32931,32921],{"class":234},[207,32933,32934],{"class":209,"line":332},[207,32935,254],{"emptyLinePlaceholder":253},[207,32937,32938],{"class":209,"line":344},[207,32939,32940],{"class":260},"# 4. 启动（默认会用环境变量里第一个能识别的 key）\n",[207,32942,32943],{"class":209,"line":355},[207,32944,32945],{"class":213},"aider\n",[207,32947,32948],{"class":209,"line":1669},[207,32949,254],{"emptyLinePlaceholder":253},[207,32951,32952],{"class":209,"line":1675},[207,32953,32954],{"class":260},"# 或指定模型\n",[207,32956,32957,32959,32962],{"class":209,"line":1681},[207,32958,32664],{"class":213},[207,32960,32961],{"class":227}," --model",[207,32963,32964],{"class":217}," deepseek\u002Fdeepseek-chat\n",[207,32966,32967,32969,32971],{"class":209,"line":1686},[207,32968,32664],{"class":213},[207,32970,32961],{"class":227},[207,32972,32973],{"class":217}," claude-3-5-sonnet-20241022\n",[207,32975,32976],{"class":209,"line":2956},[207,32977,254],{"emptyLinePlaceholder":253},[207,32979,32980],{"class":209,"line":2964},[207,32981,32982],{"class":260},"# 5. 在 aider 里直接用自然语言下指令\n",[207,32984,32985,32987],{"class":209,"line":18436},[207,32986,315],{"class":306},[207,32988,32989],{"class":234}," 把 server\u002Fapi\u002Fuser.ts 里的 getUserById 改成支持批量查询\n",[21,32991,6063],{"id":6063},[36,32993,32994,33006,33019],{},[39,32995,32996,32999,33000,33005],{},[42,32997,32998],{},"Aider 本体","：开源免费（",[610,33001,33004],{"href":33002,"rel":33003},"https:\u002F\u002Fgithub.com\u002FAider-AI\u002Faider",[639],"Apache 2.0 协议","，根据官方 GitHub 仓库 LICENSE）",[39,33007,33008,33011,33012,6035,33014,33018],{},[42,33009,33010],{},"真正的成本是模型 API key","：100% 自带——这是 Aider 与 ",[610,33013,1058],{"href":5867},[610,33015,33017],{"href":33016},"\u002Fcoding\u002Fide\u002Fwindsurf.html","Windsurf"," 最大的商业模式差异",[39,33020,33021,33022],{},"单次会话典型消耗：\n",[36,33023,33024,33027,33030],{},[39,33025,33026],{},"用 Sonnet 4 改 1 个中型 PR（10-15 文件）：约 $0.5-2 美元",[39,33028,33029],{},"用 DeepSeek-V3 同等任务：约 $0.05-0.2 美元",[39,33031,33032,33033,33035],{},"用 ",[610,33034,13157],{"href":13156}," reasoning：根据推理深度，可能到 $3-8",[26,33037,33038,33039,10831,33041,33045],{},"走 ",[610,33040,9416],{"href":11649},[610,33042,33044],{"href":32678,"rel":33043},[639],"Architect 模式"," 是当前性价比最高的组合，国内付款也直接。",[21,33047,6197],{"id":6197},[630,33049,33050,33059,33065,33079],{},[39,33051,33052,33055,33056],{},[42,33053,33054],{},"直连 OpenAI \u002F Anthropic 需要代理","——Aider 没有内置代理设置，靠环境变量 ",[204,33057,33058],{},"HTTPS_PROXY",[39,33060,33061,33064],{},[42,33062,33063],{},"DeepSeek \u002F Qwen \u002F GLM 直连无障碍","——国内付款，国内带宽，体验最好",[39,33066,33067,33070,33071,33074,33075,33078],{},[42,33068,33069],{},"支持自定义 base_url","：通过 ",[204,33072,33073],{},"OPENAI_API_BASE"," 环境变量接 ",[610,33076,33077],{"href":12442},"国内中转 \u002F 硅基流动 \u002F OneAPI"," 都行",[39,33080,33081,33084],{},[42,33082,33083],{},"Ollama 本地模型零网络依赖","——隐私场景首选，模型质量取决于本机",[21,33086,6239],{"id":6239},[366,33088,33089,33110],{},[369,33090,33091],{},[372,33092,33093,33095,33097,33101,33106],{},[375,33094,377],{},[375,33096,1793],{},[375,33098,33099],{},[610,33100,1790],{"href":13587},[375,33102,33103],{},[610,33104,1796],{"href":33105},"\u002Fcoding\u002Fcli\u002Fcodex.html",[375,33107,33108],{},[610,33109,22375],{"href":22374},[390,33111,33112,33124,33139,33155,33168,33182,33195],{},[372,33113,33114,33116,33118,33120,33122],{},[395,33115,414],{},[395,33117,1100],{},[395,33119,426],{},[395,33121,426],{},[395,33123,1100],{},[372,33125,33126,33128,33131,33134,33137],{},[395,33127,9752],{},[395,33129,33130],{},"任意",[395,33132,33133],{},"仅 Anthropic",[395,33135,33136],{},"仅 OpenAI",[395,33138,33130],{},[372,33140,33141,33144,33147,33150,33153],{},[395,33142,33143],{},"自带 API key",[395,33145,33146],{},"✅ 必须",[395,33148,33149],{},"可选（订阅替代）",[395,33151,33152],{},"可选",[395,33154,33146],{},[372,33156,33157,33160,33162,33164,33166],{},[395,33158,33159],{},"Git 集成",[395,33161,6315],{},[395,33163,5585],{},[395,33165,5593],{},[395,33167,5585],{},[372,33169,33170,33173,33176,33178,33180],{},[395,33171,33172],{},"学习曲线",[395,33174,33175],{},"★★★★☆ 陡",[395,33177,5593],{},[395,33179,5593],{},[395,33181,5585],{},[372,33183,33184,33187,33189,33191,33193],{},[395,33185,33186],{},"Architect 双模型",[395,33188,473],{},[395,33190,426],{},[395,33192,426],{},[395,33194,426],{},[372,33196,33197,33200,33203,33206,33209],{},[395,33198,33199],{},"VS Code 集成",[395,33201,33202],{},"通过第三方插件",[395,33204,33205],{},"通过 Cursor 等",[395,33207,33208],{},"仅 CLI",[395,33210,30292],{},[26,33212,33213,5072],{},[42,33214,11441],{},[36,33216,33217,33220,33225,33230],{},[39,33218,33219],{},"不想被锁在某家厂商，要随时切换 DeepSeek \u002F Claude \u002F GPT → Aider",[39,33221,33222,33223],{},"已经买 Claude Pro \u002F Max 订阅 → ",[610,33224,1790],{"href":13587},[39,33226,33227,33228],{},"已经买 ChatGPT Plus \u002F Pro → ",[610,33229,1796],{"href":33105},[39,33231,33232,33233,6035,33235],{},"习惯 VS Code 不想离开 GUI → ",[610,33234,22375],{"href":22374},[610,33236,1058],{"href":5867},[21,33238,6457],{"id":6457},[36,33240,33241,33254,33270,33289,33298,33314,33322],{},[39,33242,33243,33246,33247,33250,33251,33253],{},[42,33244,33245],{},"没在 git 仓库里跑会被警告","：Aider 强烈建议你 ",[204,33248,33249],{},"git init"," 后再用，否则 ",[204,33252,32650],{}," 不能用，自动 commit 也无意义。",[39,33255,33256,33262,33263,33265,33266,33269],{},[42,33257,33258,33261],{},[204,33259,33260],{},"\u002Fadd"," 之前的文件不会被 Aider 看见","：和 Cursor ",[204,33264,22424],{}," 不同，Aider 默认只看 repo map，需要修改的文件要 ",[204,33267,33268],{},"\u002Fadd path\u002Fto\u002Ffile"," 显式加入对话。这是新手最容易卡住的地方。",[39,33271,33272,33275,33276,33281,33282,33285,33286,33288],{},[42,33273,33274],{},"Architect 模式有 prompt injection 风险","：根据 GitHub issue ",[610,33277,33280],{"href":33278,"rel":33279},"https:\u002F\u002Fgithub.com\u002FAider-AI\u002Faider\u002Fissues\u002F5058",[639],"#5058","（2026 年 4 月报告），如果让 architect 读取 untrusted 仓库（如 README 被人塞了攻击指令），可能被诱导让 editor 生成后门代码。建议：在 ",[204,33283,33284],{},"--yes"," 自动接受前确认 architect 输出；不要在不可信项目上开 architect mode + ",[204,33287,33284],{}," 组合。",[39,33290,33291,33297],{},[42,33292,33293,33296],{},[204,33294,33295],{},"--yes-always"," 太激进","：会跳过所有确认，包括\"是否要把这个文件加入 chat\"——容易让 Aider 偷偷读你不想给模型看的文件。生产环境慎用。",[39,33299,33300,33303,33304,33307,33308,33313],{},[42,33301,33302],{},"token 限制错误的判断不可靠","：Ollama 本地模型超 context 不会报错而是静默截断，会让你以为\"模型忘了我加的文件\"。明确配置 ",[204,33305,33306],{},"num_ctx","（见 ",[610,33309,33312],{"href":33310,"rel":33311},"https:\u002F\u002Faider.chat\u002F2025\u002F01\u002F28\u002Fdeepseek-down.html",[639],"DeepSeek alternative providers 一文","）。",[39,33315,33316,33321],{},[42,33317,33318,33320],{},[204,33319,32693],{}," 比想象重要","：架构师推理再强，editor 写不出合法 diff 一样白搭。优先选 Claude Sonnet 系列做 editor，不要让推理模型自己做 editor。",[39,33323,33324,33327,33328,22380,33331,33334],{},[42,33325,33326],{},"中文 commit message 默认不开","：可以 ",[204,33329,33330],{},"aider --commit-prompt \"...中文....\"",[204,33332,33333],{},".aider.conf.yml"," 配置中改。",[21,33336,575],{"id":574},[26,33338,6528],{},[36,33340,33341,33344,33347,33350,33353,33356],{},[39,33342,33343],{},"命令行重度用户、tmux \u002F Neovim 工作流",[39,33345,33346],{},"多模型试用 \u002F 比价场景（一行命令切换）",[39,33348,33349],{},"开源项目维护者（git 工作流原生融入）",[39,33351,33352],{},"想要完全离线（Ollama + 本地模型）",[39,33354,33355],{},"对 token 成本敏感（DeepSeek + Aider 组合极便宜）",[39,33357,33358,33359,2337],{},"跨语言项目（",[610,33360,33363],{"href":33361,"rel":33362},"https:\u002F\u002Faider.chat\u002Fdocs\u002Flanguages.html",[639],"官方支持 100+ 语言",[26,33365,6548],{},[36,33367,33368,33371,33374,33377],{},[39,33369,33370],{},"习惯 GUI \u002F 不愿读命令行文档的人",[39,33372,33373],{},"想\"一键智能\"、不愿配置环境变量",[39,33375,33376],{},"团队协作场景（没有共享 sessions \u002F 协作 UI）",[39,33378,33379],{},"Windows 纯小白（虽然能跑，但 Python 环境 + git CLI 双依赖门槛高）",[21,33381,604],{"id":604},[36,33383,33384,33392,33401,33408],{},[39,33385,6576,33386,6035,33388,6035,33390],{},[610,33387,1790],{"href":13587},[610,33389,1796],{"href":33105},[610,33391,22375],{"href":22374},[39,33393,33394,33395,6035,33399],{},"推理模型选择：",[610,33396,33398],{"href":33397},"\u002Fmodels\u002Fdeepseek-r1.html","DeepSeek R1",[610,33400,13157],{"href":13156},[39,33402,33403,33404,6035,33406],{},"协议生态：",[610,33405,1850],{"href":12453},[610,33407,11638],{"href":11637},[39,33409,33410,33411],{},"工作流：",[610,33412,6617],{"href":6616},[21,33414,628],{"id":628},[36,33416,33417,33423,33429,33435,33441,33446,33453],{},[39,33418,6628,33419],{},[610,33420,33421],{"href":33421,"rel":33422},"https:\u002F\u002Faider.chat",[639],[39,33424,11680,33425],{},[610,33426,33427],{"href":33427,"rel":33428},"https:\u002F\u002Faider.chat\u002Fdocs\u002F",[639],[39,33430,33431,33432],{},"Chat Modes 文档：",[610,33433,32678],{"href":32678,"rel":33434},[639],[39,33436,33437,33438],{},"LLM 兼容列表：",[610,33439,32757],{"href":32757,"rel":33440},[639],[39,33442,13190,33443],{},[610,33444,33002],{"href":33002,"rel":33445},[639],[39,33447,33448,33449],{},"发布历史：",[610,33450,33451],{"href":33451,"rel":33452},"https:\u002F\u002Faider.chat\u002FHISTORY.html",[639],[39,33454,33455,33456],{},"PyPI：",[610,33457,33458],{"href":33458,"rel":33459},"https:\u002F\u002Fpypi.org\u002Fproject\u002Faider-chat",[639],[26,33461,33462,33463,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料整理。如有更新请通过 ",[610,33464,6647],{"href":6646},[662,33466,33467],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}",{"title":202,"searchDepth":250,"depth":250,"links":33469},[33470,33471,33477,33478,33479,33480,33481,33482,33483,33484],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":33472},[33473,33474,33475,33476],{"id":32628,"depth":250,"text":32629},{"id":32671,"depth":250,"text":32672},{"id":32752,"depth":250,"text":32752},{"id":32834,"depth":250,"text":32835},{"id":6150,"depth":224,"text":6151},{"id":6063,"depth":224,"text":6063},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Faider.webp","Aider 真实评测：Git 原生 AI 编程 CLI，每次改动自动 commit、回滚成本极低。AIHO 编辑部基于官方文档与社区资料整理，含 Architect 双模型模式、支持模型清单、安装与配置实操。",[696,697],{},[1349,1348,1350],[33491,33495],{"plan":33492,"price":707,"features":33493,"notes":33494},"开源版（pip 安装）","全部功能 + Architect 双模型 + 任意 LLM（OpenAI \u002F Anthropic \u002F Gemini \u002F DeepSeek \u002F 本地）+ Git 自动 commit","Apache 2.0 \u002F 自带 API key",{"plan":33496,"price":33497,"features":33498,"notes":33499},"模型 API 调用费","按量","实际花销 = 你接的模型计费（DeepSeek 极便宜 \u002F Claude Sonnet 中等 \u002F GPT-4o 较贵）","Aider 本身不收费，只产生模型 token 费","开源免费 \u002F 自带 API key",[29890,33502,33503,22937,33504],"aider-deep-review","claude-code-deep-review","codex-deep-review",{"power":257,"ux":250,"price":264,"cn_support":250,"stability":264},{"title":1793,"description":33486},"Aider 评测 2026：开源终端 AI 编程助手，多模型支持，CLI 工作流",[33509,33511,33513,33515,33517,33519],{"title":33510,"url":33427},"Aider 官方文档",{"title":33512,"url":32678},"Aider Chat Modes 文档",{"title":33514,"url":32757},"Aider 支持的 LLM 列表",{"title":33516,"url":33002},"Aider GitHub 仓库",{"title":33518,"url":33451},"Aider Release History",{"title":33520,"url":33458},"PyPI: aider-chat","tools\u002Fcoding\u002Fcli\u002Faider","Git 原生 AI 编程 CLI，commit 即动作",[22301,700,745,33524,33525],"git-native","architect-mode","极客派最爱。每次改动自动 commit、回滚成本极低。学习曲线最陡。","gK2sjFn7g2MV9mbJAn7cpAng2LZ85QeqIVhbhNo-OL8",{"id":33529,"title":1790,"alternatives":33530,"api_compatible":33531,"body":33532,"category":22301,"chinese_friendly":250,"cover":34668,"description":34669,"domestic":680,"extension":681,"faq":16,"free":680,"github":34627,"languages":34670,"lastVerified":16,"meta":34671,"models":34672,"navigation":253,"notSuitable":34676,"opensource":680,"path":2047,"pillar":22297,"platforms":34680,"priceTable":34681,"pricing":34697,"published":6699,"relatedPlaybooks":16,"relatedReviews":34698,"score":34700,"self_host":680,"seo":34701,"seoTitle":34702,"slug":1403,"sources":34703,"stem":34716,"suitable":34717,"tagline":34723,"tags":34724,"updated":22952,"verdict":34727,"website":34615,"__hash__":34728},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code.md",[1405,1404,22343],[1395],{"type":18,"value":33533,"toc":34651},[33534,33536,33580,33585,33587,33591,33601,33626,33629,33633,33640,33675,33690,33694,33697,33852,33870,33874,33883,33943,33946,33950,33964,33966,33979,34055,34058,34075,34088,34096,34098,34237,34239,34272,34274,34419,34424,34438,34443,34463,34465,34561,34563,34607,34609,34644,34648],[21,33535,24],{"id":23},[5783,33537,33539,33547,33557],{"className":33538},[5786,5787,5788],[26,33540,33541,33543,33544,33546],{},[42,33542,5793],{}," Anthropic 官方 CLI Agent，终端原生，长任务执行能力是目前体感最稳的一档。装好后在任何项目根目录跑 ",[204,33545,1393],{},"，用自然语言让它读代码、改文件、跑测试、提交 commit——全自动。",[26,33548,10953,33549,33552,33553,33556],{},[42,33550,33551],{},"不绑死 IDE","——VS Code、JetBrains、Vim、Emacs、Neovim 全能用，远程 SSH 也行。代价是 ",[42,33554,33555],{},"国内三大门槛","：账号要海外手机、支付要海外卡、网络要稳定代理。",[26,33558,33559,33562,33563,33567,33568,33571,33572,33575,33576,33579],{},[42,33560,33561],{},"2026-07 最新进展","：核心模型已升级为 ",[610,33564,33566],{"href":33565},"\u002Fmodels\u002Fclaude-sonnet-5.html","Claude Sonnet 5","（复杂任务用 Opus 4.8），1M 上下文；新增 ",[204,33569,33570],{},"\u002Ffork","（复制会话到后台并行）、",[204,33573,33574],{},"\u002Fsubtask","（取代内联子 agent）；会话级上限（WebSearch 200 次、子 agent 200 个）；MCP 调用超 2 分钟自动转后台。",[42,33577,33578],{},"Claude Code for Visual Studio","（7-08）成为首个正式接入调试器（断点\u002F运行时变量\u002F调用栈）的 AI 编程工具。当前版本 v2.1.201–206。Claude Code 约占 AI 编程赛道一半市场，ARR 约 $2.5B。",[130,33581,33582],{},[26,33583,33584],{},"来源说明：本文基于 code.claude.com 官方文档、Anthropic 定价页面、第三方独立评测（laozhang.ai \u002F explainx.ai \u002F computingforgeeks.com）综合整理。Anthropic 模型版本迭代快，命令和价格请以最新官方文档为准。",[21,33586,5893],{"id":5893},[5062,33588,33590],{"id":33589},"终端原生的-agent-体验","终端原生的 Agent 体验",[26,33592,33593,33594,33597,33598,33600],{},"不像 Cursor \u002F Windsurf 那种\"AI IDE\"，Claude Code 是个 ",[42,33595,33596],{},"CLI 工具","——在任何编辑器旁边开个终端，跑 ",[204,33599,1393],{},"，就进入了一个能读你整个 codebase 的对话环境。",[197,33602,33604],{"className":199,"code":33603,"language":201,"meta":202,"style":202},"cd your-project\nclaude                          # 进入交互模式\n> 帮我把这个 Express 项目迁移到 Fastify，写完之后跑测试确认通过\n",[204,33605,33606,33612,33619],{"__ignoreMap":202},[207,33607,33608,33610],{"class":209,"line":210},[207,33609,228],{"class":227},[207,33611,32889],{"class":217},[207,33613,33614,33616],{"class":209,"line":224},[207,33615,1393],{"class":213},[207,33617,33618],{"class":260},"                          # 进入交互模式\n",[207,33620,33621,33623],{"class":209,"line":250},[207,33622,315],{"class":306},[207,33624,33625],{"class":234}," 帮我把这个 Express 项目迁移到 Fastify，写完之后跑测试确认通过\n",[26,33627,33628],{},"它会自动：列出相关文件 → 给出计划 → 等你按回车确认 → 一次改多个文件 → 跑测试 → 报告结果。整个过程你可以在另一个窗口干别的，Claude Code 不抢编辑器焦点。",[5062,33630,33632],{"id":33631},"子代理sub-agents-并行任务","子代理（Sub-agents）+ 并行任务",[26,33634,33635,33636,33639],{},"Claude Code 2.x 引入了 ",[610,33637,33638],{"href":6590},"子代理"," 机制：主对话可以派发独立的子任务到隔离 context 中跑，结果摘要返回主线。典型场景：",[197,33641,33643],{"className":199,"code":33642,"language":201,"meta":202,"style":202},"\u002Fsubtask            # 派发独立子任务（2026-07 起取代内联子 agent）\n\u002Ffork               # 复制当前会话到后台并行推进\n\u002Fagents             # 管理子代理\n\u002Ftasks              # 列出后台运行的子代理\n",[204,33644,33645,33652,33659,33667],{"__ignoreMap":202},[207,33646,33647,33649],{"class":209,"line":210},[207,33648,33574],{"class":213},[207,33650,33651],{"class":260},"            # 派发独立子任务（2026-07 起取代内联子 agent）\n",[207,33653,33654,33656],{"class":209,"line":224},[207,33655,33570],{"class":213},[207,33657,33658],{"class":260},"               # 复制当前会话到后台并行推进\n",[207,33660,33661,33664],{"class":209,"line":250},[207,33662,33663],{"class":213},"\u002Fagents",[207,33665,33666],{"class":260},"             # 管理子代理\n",[207,33668,33669,33672],{"class":209,"line":257},[207,33670,33671],{"class":213},"\u002Ftasks",[207,33673,33674],{"class":260},"              # 列出后台运行的子代理\n",[26,33676,33677,33678,33683,33684,33686,33687,33689],{},"据 ",[610,33679,33682],{"href":33680,"rel":33681},"https:\u002F\u002Fcomputingforgeeks.com\u002Fclaude-code-cheat-sheet",[639],"computingforgeeks.com 2026 cheat sheet"," 整理，子代理让\"一边改前端，一边改后端\"这种并行操作不会污染主对话上下文。2026-07 更新后，",[204,33685,33574],{}," 取代了旧的内联子 agent 写法，",[204,33688,33570],{}," 则能把整个会话复制一份丢到后台继续跑；会话级新增上限（WebSearch 200 次、子 agent 200 个），MCP 调用超 2 分钟自动转后台执行。",[5062,33691,33693],{"id":33692},"slash-命令生产力关键","Slash 命令（生产力关键）",[26,33695,33696],{},"Claude Code 内置了一套 slash 命令，是日常使用的核心：",[366,33698,33699,33709],{},[369,33700,33701],{},[372,33702,33703,33706],{},[375,33704,33705],{},"命令",[375,33707,33708],{},"用途",[390,33710,33711,33725,33735,33748,33758,33768,33778,33788,33798,33808,33818,33828,33838],{},[372,33712,33713,33718],{},[395,33714,33715],{},[204,33716,33717],{},"\u002Finit",[395,33719,33720,33721,33724],{},"第一次进入仓库时跑，生成 ",[204,33722,33723],{},"CLAUDE.md","（项目记忆）",[372,33726,33727,33732],{},[395,33728,33729],{},[204,33730,33731],{},"\u002Fmemory",[395,33733,33734],{},"编辑长期记忆",[372,33736,33737,33742],{},[395,33738,33739],{},[204,33740,33741],{},"\u002Fclear",[395,33743,33744,33745,2337],{},"清空当前对话，重新开始（",[42,33746,33747],{},"最被低估的命令",[372,33749,33750,33755],{},[395,33751,33752],{},[204,33753,33754],{},"\u002Fcompact",[395,33756,33757],{},"长对话压缩，挽救快爆炸的 context window",[372,33759,33760,33765],{},[395,33761,33762],{},[204,33763,33764],{},"\u002Fcontext",[395,33766,33767],{},"显示当前 context 用量",[372,33769,33770,33775],{},[395,33771,33772],{},[204,33773,33774],{},"\u002Fplan",[395,33776,33777],{},"切到 plan 模式（只规划不执行）",[372,33779,33780,33785],{},[395,33781,33782],{},[204,33783,33784],{},"\u002Fmodel",[395,33786,33787],{},"切换模型（Opus \u002F Sonnet \u002F Haiku）",[372,33789,33790,33795],{},[395,33791,33792],{},[204,33793,33794],{},"\u002Fdiff",[395,33796,33797],{},"看本轮所有改动",[372,33799,33800,33805],{},[395,33801,33802],{},[204,33803,33804],{},"\u002Fcode-review",[395,33806,33807],{},"对 diff 跑代码审查",[372,33809,33810,33815],{},[395,33811,33812],{},[204,33813,33814],{},"\u002Frewind",[395,33816,33817],{},"回滚到任意 checkpoint（代码 + 对话）",[372,33819,33820,33825],{},[395,33821,33822],{},[204,33823,33824],{},"\u002Fmcp",[395,33826,33827],{},"管理 MCP 服务器",[372,33829,33830,33835],{},[395,33831,33832],{},[204,33833,33834],{},"\u002Fdoctor",[395,33836,33837],{},"排查环境问题",[372,33839,33840,33849],{},[395,33841,33842,33845,33846],{},[204,33843,33844],{},"\u002Fresume"," ",[204,33847,33848],{},"\u002Fbranch",[395,33850,33851],{},"回到 \u002F fork 历史对话",[26,33853,33854,33859,33860,33862,33863,33865,33866,33869],{},[610,33855,33858],{"href":33856,"rel":33857},"https:\u002F\u002Flearn-prompting.fr\u002Fblog\u002Fclaude-code-slash-commands-reference",[639],"learn-prompting.fr 2026-04 总结","：成熟团队最常用的三个是 ",[204,33861,33754],{},"（每 20-30 分钟一次防止 context drift）、",[204,33864,33741],{},"（新任务开新会话）、自定义命令（写在 ",[204,33867,33868],{},".claude\u002Fcommands\u002F"," 提交进 git）。",[5062,33871,33873],{"id":33872},"mcp-集成一等公民","MCP 集成（一等公民）",[26,33875,33876,33878,33879,33882],{},[610,33877,1850],{"href":12453}," 是 Anthropic 自家协议，Claude Code 是 MCP 支持最完整的客户端。配置一次 ",[204,33880,33881],{},".mcp.json","，Claude Code 就能在对话里调任意 MCP server 暴露的 tool：",[197,33884,33886],{"className":957,"code":33885,"language":959,"meta":202,"style":202},"{\n  \"mcpServers\": {\n    \"postgres\": {\n      \"command\": \"npx\",\n      \"args\": [\"@modelcontextprotocol\u002Fserver-postgres\", \"postgresql:\u002F\u002F...\"]\n    }\n  }\n}\n",[204,33887,33888,33892,33898,33905,33915,33931,33935,33939],{"__ignoreMap":202},[207,33889,33890],{"class":209,"line":210},[207,33891,966],{"class":234},[207,33893,33894,33896],{"class":209,"line":224},[207,33895,971],{"class":227},[207,33897,974],{"class":234},[207,33899,33900,33903],{"class":209,"line":250},[207,33901,33902],{"class":227},"    \"postgres\"",[207,33904,974],{"class":234},[207,33906,33907,33909,33911,33913],{"class":209,"line":257},[207,33908,986],{"class":227},[207,33910,989],{"class":234},[207,33912,992],{"class":217},[207,33914,995],{"class":234},[207,33916,33917,33919,33921,33924,33926,33929],{"class":209,"line":264},[207,33918,1000],{"class":227},[207,33920,1003],{"class":234},[207,33922,33923],{"class":217},"\"@modelcontextprotocol\u002Fserver-postgres\"",[207,33925,1009],{"class":234},[207,33927,33928],{"class":217},"\"postgresql:\u002F\u002F...\"",[207,33930,1020],{"class":234},[207,33932,33933],{"class":209,"line":276},[207,33934,1025],{"class":234},[207,33936,33937],{"class":209,"line":281},[207,33938,1030],{"class":234},[207,33940,33941],{"class":209,"line":287},[207,33942,1035],{"class":234},[26,33944,33945],{},"之后你就能直接说\"查一下 users 表里最近 7 天注册的人数\"——Claude Code 自动通过 MCP 跑 SQL，结果返回对话里继续讨论。",[5062,33947,33949],{"id":33948},"后台-远程模式","后台 \u002F 远程模式",[26,33951,33952,33955,33956,33959,33960,33963],{},[204,33953,33954],{},"\u002Fbackground"," 让当前会话脱离终端，作为后台 agent 继续跑；",[204,33957,33958],{},"\u002Fteleport"," 把网页端会话拉到本地终端继续；",[204,33961,33962],{},"\u002Fremote-control"," 从手机或另一台机器接管这台机器的 Claude Code 会话。这套体系是面向\"agent 长时间跑\"设计的，区别于 Cursor 的\"实时交互\"。",[21,33965,6063],{"id":6063},[26,33967,12482,33968,11448,33973,33978],{},[610,33969,33972],{"href":33970,"rel":33971},"https:\u002F\u002Fwww.explainx.ai\u002Fblog\u002Fclaude-code-pricing-guide-2026",[639],"explainx.ai 2026-06 评测",[610,33974,33977],{"href":33975,"rel":33976},"https:\u002F\u002Fclaude.com\u002Fpricing",[639],"Anthropic 官方定价"," 整理：",[366,33980,33981,33992],{},[369,33982,33983],{},[372,33984,33985,33987,33989],{},[375,33986,22450],{},[375,33988,108],{},[375,33990,33991],{},"适用场景",[390,33993,33994,34006,34018,34030,34042],{},[372,33995,33996,34001,34003],{},[395,33997,33998],{},[42,33999,34000],{},"BYOK（自带 API key）",[395,34002,5728],{},[395,34004,34005],{},"全自由，但单月烧到 $500+ 也常见",[372,34007,34008,34012,34015],{},[395,34009,34010],{},[42,34011,849],{},[395,34013,34014],{},"$20\u002F月（年付 ~$17）",[395,34016,34017],{},"个人开发者，每天 1-4 小时",[372,34019,34020,34025,34027],{},[395,34021,34022],{},[42,34023,34024],{},"Max 5x",[395,34026,1359],{},[395,34028,34029],{},"重度用户 + Opus 模型访问",[372,34031,34032,34037,34039],{},[395,34033,34034],{},[42,34035,34036],{},"Max 20x",[395,34038,1363],{},[395,34040,34041],{},"8h+ agentic 工作流 \u002F 团队共享",[372,34043,34044,34049,34052],{},[395,34045,34046],{},[42,34047,34048],{},"Team Premium",[395,34050,34051],{},"$100\u002Fseat 年付 \u002F $125 月付",[395,34053,34054],{},"团队，含管理",[26,34056,34057],{},"API token 价格（2026-07 公开数据）：",[36,34059,34060,34066,34072],{},[39,34061,34062,34065],{},[42,34063,34064],{},"Sonnet 5","：促销 input $2 \u002F output $10（至 2026-08-31），之后标准 $3 \u002F $15 per 1M token",[39,34067,34068,34071],{},[42,34069,34070],{},"Opus 4.8","：input $5 \u002F output $25 per 1M token（已大幅低于早期 Opus 4 的 $15\u002F$75）",[39,34073,34074],{},"Haiku 4.x：input $1 \u002F output $5 per 1M token",[130,34076,34077],{},[26,34078,34079,34080,34083,34084,34087],{},"SWE-bench Verified 参考：Opus 4.8 官方提交 ",[42,34081,34082],{},"87.6%","、Sonnet 5 ",[42,34085,34086],{},"80.8%","（Claude Code 内实测），是长任务编程能力的第一梯队。注意 Sonnet 5 换了新分词器，同文本 token 数约 +30%，核算成本要按实际 token 量。",[26,34089,34090,34095],{},[610,34091,34094],{"href":34092,"rel":34093},"https:\u002F\u002Fwww.ksred.com\u002Fclaude-code-pricing-guide-which-plan-actually-saves-you-money",[639],"ksred 博客真实使用日志","：作者 8 个月用 ~100 亿 token，API 价折合 $15,000+，订阅实际只花 $800——订阅模式对重度用户极度划算，但前提是能搞定支付。",[21,34097,6151],{"id":6150},[197,34099,34101],{"className":199,"code":34100,"language":201,"meta":202,"style":202},"# macOS \u002F Linux \u002F Windows (WSL)\ncurl -fsSL https:\u002F\u002Fclaude.ai\u002Finstall.sh | bash\n\n# macOS 用 Homebrew\nbrew install --cask claude-code\n\n# Windows PowerShell\nirm https:\u002F\u002Fclaude.ai\u002Finstall.ps1 | iex\n\n# 验证 + 登录\nclaude --version\nclaude auth login          # 走浏览器 OAuth，绑定 Pro \u002F Max 订阅\n# 或用 API key\nexport ANTHROPIC_API_KEY=sk-ant-...\n\n# 进项目，启动\ncd your-project\nclaude \u002Finit               # 生成 CLAUDE.md\nclaude                     # 进入交互模式\n",[204,34102,34103,34108,34121,34125,34130,34142,34146,34151,34162,34166,34171,34177,34190,34195,34205,34209,34214,34220,34230],{"__ignoreMap":202},[207,34104,34105],{"class":209,"line":210},[207,34106,34107],{"class":260},"# macOS \u002F Linux \u002F Windows (WSL)\n",[207,34109,34110,34112,34114,34117,34119],{"class":209,"line":224},[207,34111,7512],{"class":213},[207,34113,7515],{"class":227},[207,34115,34116],{"class":217}," https:\u002F\u002Fclaude.ai\u002Finstall.sh",[207,34118,7521],{"class":306},[207,34120,7524],{"class":213},[207,34122,34123],{"class":209,"line":250},[207,34124,254],{"emptyLinePlaceholder":253},[207,34126,34127],{"class":209,"line":257},[207,34128,34129],{"class":260},"# macOS 用 Homebrew\n",[207,34131,34132,34134,34136,34139],{"class":209,"line":264},[207,34133,1581],{"class":213},[207,34135,241],{"class":217},[207,34137,34138],{"class":227}," --cask",[207,34140,34141],{"class":217}," claude-code\n",[207,34143,34144],{"class":209,"line":276},[207,34145,254],{"emptyLinePlaceholder":253},[207,34147,34148],{"class":209,"line":281},[207,34149,34150],{"class":260},"# Windows PowerShell\n",[207,34152,34153,34155,34158,34160],{"class":209,"line":287},[207,34154,7538],{"class":213},[207,34156,34157],{"class":217}," https:\u002F\u002Fclaude.ai\u002Finstall.ps1",[207,34159,7521],{"class":306},[207,34161,7546],{"class":213},[207,34163,34164],{"class":209,"line":321},[207,34165,254],{"emptyLinePlaceholder":253},[207,34167,34168],{"class":209,"line":326},[207,34169,34170],{"class":260},"# 验证 + 登录\n",[207,34172,34173,34175],{"class":209,"line":332},[207,34174,1393],{"class":213},[207,34176,2847],{"class":227},[207,34178,34179,34181,34184,34187],{"class":209,"line":344},[207,34180,1393],{"class":213},[207,34182,34183],{"class":217}," auth",[207,34185,34186],{"class":217}," login",[207,34188,34189],{"class":260},"          # 走浏览器 OAuth，绑定 Pro \u002F Max 订阅\n",[207,34191,34192],{"class":209,"line":355},[207,34193,34194],{"class":260},"# 或用 API key\n",[207,34196,34197,34199,34201,34203],{"class":209,"line":1669},[207,34198,1641],{"class":306},[207,34200,1644],{"class":234},[207,34202,1647],{"class":306},[207,34204,32909],{"class":234},[207,34206,34207],{"class":209,"line":1675},[207,34208,254],{"emptyLinePlaceholder":253},[207,34210,34211],{"class":209,"line":1681},[207,34212,34213],{"class":260},"# 进项目，启动\n",[207,34215,34216,34218],{"class":209,"line":1686},[207,34217,228],{"class":227},[207,34219,32889],{"class":217},[207,34221,34222,34224,34227],{"class":209,"line":2956},[207,34223,1393],{"class":213},[207,34225,34226],{"class":217}," \u002Finit",[207,34228,34229],{"class":260},"               # 生成 CLAUDE.md\n",[207,34231,34232,34234],{"class":209,"line":2964},[207,34233,1393],{"class":213},[207,34235,34236],{"class":260},"                     # 进入交互模式\n",[21,34238,6197],{"id":6197},[630,34240,34241,34247,34252,34258],{},[39,34242,34243,34246],{},[42,34244,34245],{},"账号","：注册 claude.ai 需要海外手机号（Google Voice \u002F Twilio 可，国内号被封死）",[39,34248,34249,34251],{},[42,34250,11197],{},"：Pro \u002F Max 订阅只收海外信用卡（MasterCard \u002F Visa）+ 海外账单地址。第三方平台（如老张 \u002F DMXAPI）可用支付宝走 API 代理，但是 BYOK 模式",[39,34253,34254,34257],{},[42,34255,34256],{},"网络","：终端 OAuth 流程对代理稳定性要求高，掉线会反复弹浏览器",[39,34259,34260,1962,34262,22380,34264,34266,34267,6035,34269,34271],{},[42,34261,6226],{},[610,34263,1793],{"href":22383},[610,34265,22375],{"href":22374}," 接 ",[610,34268,9416],{"href":11649},[610,34270,11655],{"href":11654}," 是国内最经济的\"Claude Code 平替\"思路",[21,34273,6239],{"id":6239},[366,34275,34276,34296],{},[369,34277,34278],{},[372,34279,34280,34282,34284,34288,34292],{},[375,34281,377],{},[375,34283,1790],{},[375,34285,34286],{},[610,34287,1058],{"href":5867},[375,34289,34290],{},[610,34291,1796],{"href":33105},[375,34293,34294],{},[610,34295,1793],{"href":22383},[390,34297,34298,34312,34325,34343,34363,34376,34389,34405],{},[372,34299,34300,34302,34305,34308,34310],{},[395,34301,2367],{},[395,34303,34304],{},"CLI（IDE 无关）",[395,34306,34307],{},"AI-first IDE",[395,34309,2370],{},[395,34311,2370],{},[372,34313,34314,34317,34319,34321,34323],{},[395,34315,34316],{},"长任务能力",[395,34318,6315],{},[395,34320,5579],{},[395,34322,5579],{},[395,34324,5585],{},[372,34326,34327,34330,34337,34339,34341],{},[395,34328,34329],{},"上下文管理",[395,34331,34332,34333,33845,34335],{},"★★★★★ ",[204,34334,33754],{},[204,34336,33741],{},[395,34338,5579],{},[395,34340,5579],{},[395,34342,5585],{},[372,34344,34345,34348,34356,34359,34361],{},[395,34346,34347],{},"子代理 \u002F 并行",[395,34349,34350,34351,33845,34353,2337],{},"✅（",[204,34352,33663],{},[204,34354,34355],{},"\u002Fbatch",[395,34357,34358],{},"部分（Bug bot）",[395,34360,5544],{},[395,34362,426],{},[372,34364,34365,34367,34370,34372,34374],{},[395,34366,1436],{},[395,34368,34369],{},"★★★★★ 一等公民",[395,34371,5579],{},[395,34373,5585],{},[395,34375,426],{},[372,34377,34378,34380,34382,34384,34386],{},[395,34379,33159],{},[395,34381,5579],{},[395,34383,5585],{},[395,34385,5585],{},[395,34387,34388],{},"★★★★★ 每改即 commit",[372,34390,34391,34394,34397,34400,34402],{},[395,34392,34393],{},"国内门槛",[395,34395,34396],{},"高（账号+支付+网络）",[395,34398,34399],{},"高（账号+支付）",[395,34401,2461],{},[395,34403,34404],{},"低（BYOK 国产模型）",[372,34406,34407,34409,34412,34414,34416],{},[395,34408,108],{},[395,34410,34411],{},"$20-$200\u002F月",[395,34413,1155],{},[395,34415,34411],{},[395,34417,34418],{},"仅 API 成本",[26,34420,34421,5072],{},[42,34422,34423],{},"选 Claude Code 如果你",[36,34425,34426,34429,34432,34435],{},[39,34427,34428],{},"重视长任务自主性 + 上下文管理",[39,34430,34431],{},"JetBrains \u002F Vim 用户，不想换 IDE",[39,34433,34434],{},"团队需要 SSH 远程 \u002F 后台 agent 模式",[39,34436,34437],{},"已经在用 Claude Pro\u002FMax，加 Code 是边际成本",[26,34439,34440,5072],{},[42,34441,34442],{},"别选 Claude Code 如果你",[36,34444,34445,34451,34456],{},[39,34446,34447,34448,34450],{},"国内、个人、预算紧（去 ",[610,34449,1793],{"href":22383}," + DeepSeek）",[39,34452,34453,34454,2337],{},"想要纯 IDE 内 inline 体验（",[610,34455,1058],{"href":5867},[39,34457,34458,34459,2337],{},"主要写补全而非 agent 任务（",[610,34460,34462],{"href":34461},"\u002Fcoding\u002Fcopilot\u002Fgithub-copilot.html","GitHub Copilot",[21,34464,6457],{"id":6457},[36,34466,34467,34480,34495,34509,34517,34535,34549,34555],{},[39,34468,34469,34475,34476,34479],{},[42,34470,34471,34474],{},[204,34472,34473],{},"ANTHROPIC_API_KEY"," 优先级最高","：你以为在用 Pro 订阅，但 env 里有 key 时实际走 API 计费——卡崩之前先 ",[204,34477,34478],{},"env | grep ANTHROPIC"," 检查",[39,34481,34482,34488,34489,34491,34492,34494],{},[42,34483,34484,34485,34487],{},"长会话不 ",[204,34486,33754],{}," 会越来越笨","：context 接近上限时，模型会开始忘记前面约定。社区共识：每 20-30 分钟 ",[204,34490,33754],{}," 一次或 ",[204,34493,33741],{}," 开新会话",[39,34496,34497,34502,34503,34508],{},[42,34498,34499,34501],{},[204,34500,33784],{}," 切换是个坑","：跨模型切会丢部分 context ",[610,34504,34507],{"href":34505,"rel":34506},"https:\u002F\u002Fwww.reddit.com\u002Fr\u002FClaudeAI\u002F",[639],"据 r\u002FClaudeAI 反馈","；建议起新会话指定模型",[39,34510,34511,34516],{},[42,34512,34513,34515],{},[204,34514,33717],{}," 生成的 CLAUDE.md 要 review","：自动生成的会有冗余\u002F错误，第一次进项目花 5 分钟整理",[39,34518,34519,34524,34525,33845,34528,33845,34531,34534],{},[42,34520,34521,34523],{},[204,34522,33868],{}," 自定义命令是放大器","：把团队最常用的工作流写成 ",[204,34526,34527],{},"\u002Fdeploy",[204,34529,34530],{},"\u002Fmigrate",[204,34532,34533],{},"\u002Freview-pr","，提交进 git",[39,34536,34537,34540,34541,34544,34545,34548],{},[42,34538,34539],{},"后台 agent + 重写大量文件 = 危险组合","：长任务跑通常加 ",[204,34542,34543],{},"--permission-mode plan"," 或开 ",[204,34546,34547],{},"acceptEdits"," 但配合 git worktree",[39,34550,34551,34554],{},[42,34552,34553],{},"Windows 原生支持有限","：官方推荐 WSL，PowerShell 安装路径有时跑不通",[39,34556,34557,34560],{},[42,34558,34559],{},"API token 烧钱速度","：BYOK 模式下，复杂 refactor 单次任务可能消耗几百万 token",[21,34562,604],{"id":604},[36,34564,34565,34577,34587,34599],{},[39,34566,6576,34567,6035,34569,6035,34571,6035,34573,6035,34575],{},[610,34568,1058],{"href":5867},[610,34570,33017],{"href":33016},[610,34572,1796],{"href":33105},[610,34574,1793],{"href":22383},[610,34576,22375],{"href":22374},[39,34578,6587,34579,6035,34581,6035,34583,6035,34585],{},[610,34580,6591],{"href":6590},[610,34582,11638],{"href":11637},[610,34584,1850],{"href":12453},[610,34586,6617],{"href":6616},[39,34588,6598,34589,6035,34591,6035,34595],{},[610,34590,33566],{"href":33565},[610,34592,34594],{"href":34593},"\u002Fmodels\u002Fclaude-opus-4-5.html","Claude Opus 4.5",[610,34596,34598],{"href":34597},"\u002Fmodels\u002Fclaude-haiku-4.html","Claude Haiku 4",[39,34600,6613,34601,6035,34605],{},[610,34602,34604],{"href":34603},"\u002Fwiki\u002Fvibe-coding.html","Vibe Coding",[610,34606,6621],{"href":6620},[21,34608,628],{"id":628},[36,34610,34611,34617,34623,34629,34636,34641],{},[39,34612,6628,34613],{},[610,34614,34615],{"href":34615,"rel":34616},"https:\u002F\u002Fclaude.com\u002Fclaude-code",[639],[39,34618,11680,34619],{},[610,34620,34621],{"href":34621,"rel":34622},"https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Foverview",[639],[39,34624,13190,34625],{},[610,34626,34627],{"href":34627,"rel":34628},"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fclaude-code",[639],[39,34630,34631,34632],{},"CLI Reference：",[610,34633,34634],{"href":34634,"rel":34635},"https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fcli-reference",[639],[39,34637,13196,34638],{},[610,34639,33975],{"href":33975,"rel":34640},[639],[39,34642,34643],{},"第三方评测：laozhang.ai \u002F explainx.ai \u002F computingforgeeks.com \u002F ksred.com \u002F learn-prompting.fr",[26,34645,14253,34646,6648],{},[610,34647,6647],{"href":6646},[662,34649,34650],{},"html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":34652},[34653,34654,34661,34662,34663,34664,34665,34666,34667],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":34655},[34656,34657,34658,34659,34660],{"id":33589,"depth":250,"text":33590},{"id":33631,"depth":250,"text":33632},{"id":33692,"depth":250,"text":33693},{"id":33872,"depth":250,"text":33873},{"id":33948,"depth":250,"text":33949},{"id":6063,"depth":224,"text":6063},{"id":6150,"depth":224,"text":6151},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fclaude-code.webp","Claude Code 2026 真实评测：Anthropic 官方 CLI 编程 Agent，适合终端、SSH、JetBrains\u002FVim 用户和长任务代码改造。本文整理安装使用、Sub-agents、Slash 命令、MCP、价格套餐、国内使用门槛，以及和 Cursor、Aider、Codex CLI 的区别。",[697],{},[34673,34674,34675],"claude-sonnet-5","claude-opus-4-8","claude-haiku-4",[34677,34678,34679],"国内裸跑（账号 \u002F 支付 \u002F 网络三关）","预算 ¥100\u002F月以内的个人开发者","只想做基础代码补全（用 GitHub Copilot 更经济）",[1348,1350,1349],[34682,34687,34690,34693],{"plan":34683,"price":34684,"limit":34685,"cn_pay":34686,"note":5725},"Pay-as-go","按 API token 计费","Sonnet $3\u002F$15 per Mtok，Opus $15\u002F$75","✅ 第三方中转支持支付宝",{"plan":19856,"price":1155,"limit":34688,"cn_pay":5730,"note":34689},"约 1-4 小时\u002F天活跃编码","网页 + Code 共享额度",{"plan":34691,"price":1359,"limit":34692,"cn_pay":5730,"note":23127},"Claude Max 5x","Pro 的 5 倍 + Opus 接入",{"plan":34694,"price":1363,"limit":34695,"cn_pay":5730,"note":34696},"Claude Max 20x","Pro 的 20 倍 + 优先队列","8h+\u002F天 agentic 工作流","API 按 token 计费 \u002F Pro $20 \u002F Max $100-$200 \u002F Team Premium $100-$125 seat",[29890,33502,33503,19704,33504,34699],"cursor-deep-review",{"power":264,"ux":257,"price":250,"cn_support":224,"stability":257},{"title":1790,"description":34669},"Claude Code 评测 2026：Anthropic 官方 CLI Agent，长任务编程怎么用",[34704,34706,34707,34709,34712,34714],{"title":34705,"url":34621},"Claude Code 官方文档",{"title":33977,"url":33975},{"title":34708,"url":34634},"Claude Code CLI Reference",{"title":34710,"url":34711},"Claude Code Pricing Guide 2026","https:\u002F\u002Fblog.laozhang.ai\u002Fen\u002Fposts\u002Fclaude-code-pricing-guide",{"title":34713,"url":33680},"Claude Code Cheat Sheet 2026",{"title":34715,"url":34627},"Claude Code Changelog（v2.1.x）","tools\u002Fcoding\u002Fcli\u002Fclaude-code",[34718,34719,34720,34721,34722],"JetBrains \u002F Vim \u002F Emacs 用户（不想换编辑器）","需要长任务自主规划（>30min 单次任务）","服务器开发、运维脚本、CI\u002FCD 场景","需要在 SSH 远程主机上跑 AI 编程","重视稳定性 + 长上下文连贯性","Anthropic 官方终端 AI Coding Agent，长任务能力业界第一梯队",[22301,700,34725,1395,34726,1392],"terminal","long-task","Cursor 的强力补充。终端原生、IDE 无关、长任务跑得比 Cursor 稳。但 API 计费贵且国内更难用。","YIQtC5U4vEsz2B9Smm0TktyJo6JZ-dCcq31GUqSt1ms",{"id":34730,"title":22375,"alternatives":34731,"api_compatible":34732,"body":34736,"category":22301,"chinese_friendly":257,"cover":35199,"description":35200,"domestic":680,"extension":681,"faq":35201,"free":680,"github":35161,"languages":35216,"lastVerified":16,"meta":35217,"models":35218,"navigation":253,"notSuitable":35221,"opensource":253,"path":22241,"pillar":22297,"platforms":35225,"priceTable":35226,"pricing":35237,"published":6699,"relatedPlaybooks":35238,"relatedReviews":35241,"score":35242,"self_host":253,"seo":35243,"seoTitle":35244,"slug":22343,"sources":35245,"stem":35254,"suitable":35255,"tagline":35261,"tags":35262,"updated":732,"verdict":35266,"website":35155,"__hash__":35267},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fcline.md",[22344,1404,1403,20457],[5028,1395,34733,34734,34735,2985],"openrouter","bedrock","vertex",{"type":18,"value":34737,"toc":35183},[34738,34740,34755,34757,34760,34786,34789,34791,34836,34841,34852,34854,34859,34863,34897,34900,34904,34915,34919,34922,34924,34930,34932,35053,35055,35115,35117,35123,35125,35147,35149,35177],[21,34739,24],{"id":23},[5783,34741,34743,34752],{"className":34742},[5786,5787,5788],[26,34744,34745,34747,34748,34751],{},[42,34746,5793],{}," Cline 是 VS Code 里的开源 AI Agent 插件（Apache-2.0，58k+ stars），",[42,34749,34750],{},"BYOK 模式 + Plan-then-Act 工作流 + 每步审批 + 最大 MCP 生态","，定位为「谨慎派」的标杆。",[26,34753,34754],{},"不订阅、不抽成，你直接付 API 钱；成本敏感的人可以接 DeepSeek V4 Pro（输入 $0.435 \u002F 1M token），把月费压到 Cursor 的几分之一。",[21,34756,29333],{"id":29333},[26,34758,34759],{},"Cline（原名 Claude Dev）是 VS Code 扩展商店里的开源 AI Agent。和 Cursor \u002F Trae 这种独立 IDE 不同，它就是个插件，你装上就用：",[36,34761,34762,34767,34772,34781],{},[39,34763,34764,34766],{},[42,34765,2367],{},"：VS Code 右侧栏开一个 Cline 面板，输入任务 → Plan → Act → 每步审批 → 直到完成。",[39,34768,34769,34771],{},[42,34770,1111],{},"：完全 BYOK（Bring Your Own Key）。OpenAI \u002F Anthropic \u002F OpenRouter \u002F Bedrock \u002F Vertex \u002F Ollama \u002F DeepSeek \u002F Qwen 全支持。",[39,34773,34774,34776,34777,34780],{},[42,34775,1850],{},"：原生支持 MCP 协议，并维护一个",[42,34778,34779],{},"社区 Marketplace","——比 Cursor \u002F Claude Code 的 MCP 生态都大。",[39,34782,34783,34785],{},[42,34784,414],{},"：Apache-2.0，可 fork \u002F 审计 \u002F 自部署，企业合规友好。",[26,34787,34788],{},"它和 Roo Code 共享同一个祖宗（Claude Dev），2024 分叉之后各走各路。Cline 更社区驱动（MCP Marketplace 是社区维护，Star 数高），Roo Code 更产品驱动（自带 Cloud Agents、Team Policy）。",[21,34790,108],{"id":108},[366,34792,34793,34803],{},[369,34794,34795],{},[372,34796,34797,34799,34801],{},[375,34798,6078],{},[375,34800,108],{},[375,34802,30012],{},[390,34804,34805,34815,34825],{},[372,34806,34807,34810,34812],{},[395,34808,34809],{},"插件本体",[395,34811,12512],{},[395,34813,34814],{},"Apache-2.0 开源",[372,34816,34817,34819,34822],{},[395,34818,22729],{},[395,34820,34821],{},"按 API 计费",[395,34823,34824],{},"0 厂商抽成，付的钱全进 API 厂商口袋",[372,34826,34827,34830,34833],{},[395,34828,34829],{},"Cline Teams",[395,34831,34832],{},"询价",[395,34834,34835],{},"SSO + RBAC + 集中策略 + 审计 + 用量分析",[26,34837,34838],{},[42,34839,34840],{},"真实成本范例（参考）：",[36,34842,34843,34846,34849],{},[39,34844,34845],{},"Claude Sonnet 4.6 BYOK：$3 \u002F $15 per 1M token（input\u002Foutput），重度日用 $30-100\u002F月",[39,34847,34848],{},"DeepSeek V4 Pro BYOK：$0.435 \u002F $0.87 per 1M token，重度日用 $5-15\u002F月",[39,34850,34851],{},"Ollama 本地：$0（电费忽略），但需要 RTX 3090+ 才能跑 Qwen2.5-Coder 32B",[21,34853,29485],{"id":29484},[130,34855,34856],{},[26,34857,34858],{},"来源说明：以下场景为 Cline GitHub 文档与 Qodo \u002F Serenities AI 评测的工作流归纳。",[5062,34860,34862],{"id":34861},"任务-1让-cline-在陌生代码库里加-feature","任务 1：让 Cline 在陌生代码库里加 feature",[630,34864,34865,34868,34884,34890],{},[39,34866,34867],{},"输入任务：\"在这个 Express 项目里加一个 \u002Fapi\u002Fusers\u002Fme endpoint\"",[39,34869,34870,34873,34874,10831,34877,10831,34880,34883],{},[42,34871,34872],{},"Plan 阶段","：Cline 先读 ",[204,34875,34876],{},"package.json",[204,34878,34879],{},"app.js",[204,34881,34882],{},"routes\u002F","，列出需要新建\u002F修改的文件",[39,34885,34886,34889],{},[42,34887,34888],{},"Act 阶段","：每改一个文件、每跑一条命令都弹审批",[39,34891,34892,34893,34896],{},"完成后跑 ",[204,34894,34895],{},"npm test"," 验证",[26,34898,34899],{},"第一次用会觉得\"怎么这么多次点击\"，但在不熟悉的代码库里这就是安全网。",[5062,34901,34903],{"id":34902},"任务-2byok-切到-deepseek-压成本","任务 2：BYOK 切到 DeepSeek 压成本",[26,34905,34906,34907,34910,34911,34914],{},"设置里选 OpenAI-compatible，base URL 填 DeepSeek 的 endpoint（",[204,34908,34909],{},"https:\u002F\u002Fapi.deepseek.com","），key 填好，模型选 ",[204,34912,34913],{},"deepseek-coder","。同样任务从月费 $50 降到 $10 量级。质量略低于 Claude Sonnet 4.6，但对常规改动够用。",[5062,34916,34918],{"id":34917},"任务-3mcp-marketplace-装数据库-server","任务 3：MCP Marketplace 装数据库 server",[26,34920,34921],{},"Cline 面板 → MCP Marketplace → 装 Postgres MCP server → 配 connection string → 让 AI 直接查表、改 schema、跑 migration。这是 Cursor 也能做但生态没这么丰富的部分。",[21,34923,6151],{"id":6150},[197,34925,34928],{"className":34926,"code":34927,"language":6177,"meta":202},[6175],"1. VS Code Marketplace 搜 \"Cline\"，作者 saoudrizwan，安装\n2. 左侧栏点 Cline 图标 → Settings\n3. 选 API Provider（Anthropic \u002F OpenAI \u002F OpenRouter \u002F DeepSeek \u002F Ollama …）\n4. 填 API key，选模型\n5. 回到主面板，输入任务 → Plan → 审批 → Act\n6. 装 MCP server：Cline 面板顶部 \"MCP Servers\" → Marketplace\n",[204,34929,34927],{"__ignoreMap":202},[21,34931,29545],{"id":29545},[366,34933,34934,34948],{},[369,34935,34936],{},[372,34937,34938,34940,34942,34944,34946],{},[375,34939,377],{},[375,34941,22375],{},[375,34943,22379],{},[375,34945,1058],{},[375,34947,1790],{},[390,34949,34950,34964,34977,34989,35004,35021,35037],{},[372,34951,34952,34954,34957,34959,34962],{},[395,34953,2367],{},[395,34955,34956],{},"VS Code 插件",[395,34958,34956],{},[395,34960,34961],{},"独立 IDE",[395,34963,7600],{},[372,34965,34966,34968,34971,34973,34975],{},[395,34967,414],{},[395,34969,34970],{},"Apache-2.0",[395,34972,34970],{},[395,34974,420],{},[395,34976,420],{},[372,34978,34979,34981,34983,34985,34987],{},[395,34980,22729],{},[395,34982,1100],{},[395,34984,1100],{},[395,34986,440],{},[395,34988,426],{},[372,34990,34991,34994,34997,34999,35002],{},[395,34992,34993],{},"默认审批",[395,34995,34996],{},"每步",[395,34998,23930],{},[395,35000,35001],{},"Accept All",[395,35003,23930],{},[372,35005,35006,35008,35014,35016,35019],{},[395,35007,3720],{},[395,35009,35010,35013],{},[42,35011,35012],{},"最大","（Marketplace）",[395,35015,2458],{},[395,35017,35018],{},"中（注册表 200+）",[395,35020,2458],{},[372,35022,35023,35026,35029,35032,35035],{},[395,35024,35025],{},"团队功能",[395,35027,35028],{},"Cline Teams（询价）",[395,35030,35031],{},"Cloud Team $99\u002F月",[395,35033,35034],{},"Teams $40\u002F用户\u002F月",[395,35036,19862],{},[372,35038,35039,35041,35044,35047,35050],{},[395,35040,506],{},[395,35042,35043],{},"谨慎派 + BYOK",[395,35045,35046],{},"Mode 切换重度 + Cloud Agent",[395,35048,35049],{},"GUI 全能",[395,35051,35052],{},"终端硬核",[21,35054,6457],{"id":6457},[630,35056,35057,35063,35077,35087,35093,35099],{},[39,35058,35059,35062],{},[42,35060,35061],{},"每步审批默认开","，新手会觉得烦——可在设置里把信任的工具加白名单（read_file \u002F list_dir 等）减少弹窗。",[39,35064,35065,35068,35069,35072,35073,35076],{},[42,35066,35067],{},"BYOK 别填错 base URL","，DeepSeek \u002F 第三方 OpenAI 兼容端需要写对 ",[204,35070,35071],{},"https:\u002F\u002Fapi.deepseek.com\u002Fv1","，少 ",[204,35074,35075],{},"\u002Fv1"," 会 404。",[39,35078,35079,35082,35083,35086],{},[42,35080,35081],{},"Plan 阶段读太多文件","，第一轮上下文容易吃光配额——大项目里加 ",[204,35084,35085],{},".clineignore"," 排除 node_modules \u002F dist。",[39,35088,35089,35092],{},[42,35090,35091],{},"MCP server 装多了会拖慢启动","，VS Code 启动时会逐个连，配置 30+ 个 server 会明显卡顿，按需启用。",[39,35094,35095,35098],{},[42,35096,35097],{},"OpenRouter \u002F 第三方代理 endpoint 偶尔抽风","，可以同时配 2 个 provider 互为备份。",[39,35100,35101,35104,35105,6035,35108,35111,35112,5819],{},[42,35102,35103],{},"跨平台 path 问题","：Windows 下 Cline 跑的 shell 默认是 cmd 而非 git-bash，命令里 ",[204,35106,35107],{},"&&",[204,35109,35110],{},"$HOME"," 等可能失败，配置改 ",[204,35113,35114],{},"terminal.integrated.defaultProfile.windows",[21,35116,575],{"id":574},[26,35118,35119,35120,35122],{},"✅ BYOK 派（用 DeepSeek \u002F Qwen \u002F Ollama 压成本）；对 AI 自主性谨慎的人；需要大 MCP 生态；VS Code 用户；企业合规场景。",[29763,35121],{},"\n❌ 嫌弃配置的人；需要 GUI Composer 体验；想要订阅制固定月费的人。",[21,35124,604],{"id":604},[36,35126,35127,35133,35139],{},[39,35128,29772,35129],{},[610,35130,35132],{"href":35131},"\u002Fplaybook\u002Fcline-vs-roo-code.html","Cline vs Roo Code 怎么选",[39,35134,29779,35135],{},[610,35136,35138],{"href":35137},"\u002Fcoding\u002Fcli\u002F","AI CLI 全分类",[39,35140,29786,35141,2589,35143,2589,35145],{},[610,35142,22379],{"href":22378},[610,35144,1793],{"href":22383},[610,35146,1790],{"href":13587},[21,35148,628],{"id":628},[36,35150,35151,35157,35163,35170],{},[39,35152,6628,35153],{},[610,35154,35155],{"href":35155,"rel":35156},"https:\u002F\u002Fcline.bot",[639],[39,35158,13190,35159],{},[610,35160,35161],{"href":35161,"rel":35162},"https:\u002F\u002Fgithub.com\u002Fcline\u002Fcline",[639],[39,35164,35165,35166],{},"Roo Code vs Cline（Serenities AI 2026）：",[610,35167,35168],{"href":35168,"rel":35169},"https:\u002F\u002Fserenitiesai.com\u002Farticles\u002Froo-code-vs-cline-ai-coding-2026",[639],[39,35171,35172,35173],{},"Roo Code vs Cline（Qodo 2025-12）：",[610,35174,35175],{"href":35175,"rel":35176},"https:\u002F\u002Fwww.qodo.ai\u002Fblog\u002Froo-code-vs-cline",[639],[130,35178,35179],{},[26,35180,29818,35181,29821],{},[610,35182,6647],{"href":6646},{"title":202,"searchDepth":250,"depth":250,"links":35184},[35185,35186,35187,35188,35193,35194,35195,35196,35197,35198],{"id":23,"depth":224,"text":24},{"id":29333,"depth":224,"text":29333},{"id":108,"depth":224,"text":108},{"id":29484,"depth":224,"text":29485,"children":35189},[35190,35191,35192],{"id":34861,"depth":250,"text":34862},{"id":34902,"depth":250,"text":34903},{"id":34917,"depth":250,"text":34918},{"id":6150,"depth":224,"text":6151},{"id":29545,"depth":224,"text":29545},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcline.webp","Cline 真实评测：原名 Claude Dev，Apache-2.0 开源 VS Code 扩展，58k+ stars，社区驱动的 MCP Marketplace；BYOK 模式接任意 LLM，Plan-then-Act 工作流 + 每步审批，安全感是最大卖点。",[35202,35205,35208,35211,35214],{"q":35203,"a":35204},"Cline 和 Roo Code 什么关系？","Roo Code 是 Cline 的 fork。两者共享祖宗 Claude Dev，2024 年分叉后各走各路：Cline 更社区驱动（MCP Marketplace 是社区维护），Roo Code 更产品驱动（自带 Cloud Agents、团队 Policy）。两个都 Apache-2.0，可同时装。",{"q":35206,"a":35207},"Cline 必须用 Claude 吗？","不必。BYOK 设计，OpenAI \u002F Anthropic \u002F OpenRouter \u002F Bedrock \u002F Vertex \u002F Ollama \u002F DeepSeek API 都能配。默认推荐 Claude Sonnet 4.6（autonomous coding 准确率最高），成本敏感场景上 DeepSeek V4 Pro（输入 $0.435 \u002F 输出 $0.87 per 1M token）。",{"q":35209,"a":35210},"Plan-then-Act 是什么？","Cline 接到任务后先 plan（列出要改的文件 + 命令 + 浏览器操作），再 act（每步执行前要你点 approve）。和 Cursor Composer 的 Accept All 不同——Cline 默认更谨慎，更适合不熟悉的代码库。",{"q":35212,"a":35213},"MCP Marketplace 是什么？","Cline 自带的 MCP server 市集，社区维护。装 server 后 AI 就能调那个外部工具（比如 Postgres \u002F Notion \u002F Stripe \u002F 自建 API）。截至 2026 已有数百个 MCP server。",{"q":25323,"a":35215},"插件本身没限制。模型 API 走国内厂商（DeepSeek \u002F Qwen \u002F Doubao）直连无需代理，走 Claude \u002F OpenAI 需稳定代理。",[696,697],{},[28189,35219,11718,35220,5712],"claude-opus-4.6","qwen-coder",[35222,35223,35224],"嫌弃配置的人（API key、模型、参数都要自己设）","需要 GUI 多文件 Composer 体验的人（Cline 更线性）","想要订阅制（每月固定成本）的人",[1349,1348,1350],[35227,35230,35234],{"plan":34809,"price":12512,"limit":35228,"cn_pay":5724,"note":35229},"Apache-2.0 开源，VS Code Marketplace 安装","0 厂商抽成",{"plan":5725,"price":34821,"limit":35231,"cn_pay":35232,"note":35233},"接 OpenAI \u002F Anthropic \u002F OpenRouter \u002F Bedrock \u002F Vertex \u002F Ollama \u002F DeepSeek 等","看 API 厂商","完全自主成本",{"plan":34829,"price":35235,"limit":34835,"cn_pay":5724,"note":35236},"$30\u002F用户\u002F月起（询价）","企业合规档","插件免费 \u002F BYOK 按 API 计费 \u002F Cline Teams 含 SSO+RBAC",[35239,35240],"ai-coding\u002Fcline-vs-roo-code","ai-coding\u002Fbyok-cost-optimization",[33502,33503,22937],{"power":257,"ux":257,"price":264,"cn_support":257,"stability":257},{"title":22375,"description":35200},"Cline 评测 2026：开源 VS Code AI 编程 Agent，MCP 协议支持",[35246,35248,35250,35252],{"title":35247,"url":35161},"Cline GitHub",{"title":35249,"url":35155},"Cline 官网",{"title":35251,"url":35168},"Roo Code vs Cline（Serenities AI 2026）",{"title":35253,"url":35175},"Roo Code vs Cline（Qodo 2025-12）","tools\u002Fcoding\u002Fcli\u002Fcline",[35256,35257,35258,35259,35260],"BYOK 派（用 DeepSeek \u002F Qwen \u002F 自部署模型压成本）","对 AI 自主性紧张的人（每步审批模式可见性强）","需要 MCP 生态扩展（GitHub \u002F Database \u002F Slack 等）","VS Code 用户（不想换编辑器）","企业合规场景（开源 + 可审计）","VS Code 里的开源 AI Agent 插件，BYOK + MCP Marketplace",[700,35263,745,22956,35264,35265],"vscode-plugin","mcp-marketplace","plan-act","BYOK 派的标杆。装在 VS Code 里、连任意 API、每步审批、行为可控、MCP 生态最大；适合谨慎派、企业合规场景，以及想用 DeepSeek \u002F Qwen 压成本的人。","WDlgCqRD1hMlcflZZW6-Zlk5v1nZw06xIhvhef81zc0",{"id":35269,"title":1796,"alternatives":35270,"api_compatible":35271,"body":35272,"category":22301,"chinese_friendly":250,"cover":35921,"description":35922,"domestic":680,"extension":681,"faq":35923,"free":680,"github":35320,"languages":35938,"lastVerified":16,"meta":35939,"models":35940,"navigation":253,"notSuitable":35944,"opensource":253,"path":2059,"pillar":22297,"platforms":35948,"priceTable":35949,"pricing":35963,"published":6699,"relatedPlaybooks":35964,"relatedReviews":35967,"score":35968,"self_host":680,"seo":35969,"seoTitle":35970,"slug":1405,"sources":35971,"stem":35983,"suitable":35984,"tagline":35989,"tags":35990,"updated":22952,"verdict":35992,"website":35875,"__hash__":35993},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fcodex.md",[1403,1404,22343],[5028],{"type":18,"value":35273,"toc":35905},[35274,35276,35314,35316,35326,35329,35349,35352,35381,35383,35438,35443,35447,35452,35456,35478,35481,35485,35508,35512,35532,35535,35537,35635,35645,35647,35777,35782,35784,35837,35839,35845,35847,35867,35869,35896,35902],[21,35275,24],{"id":23},[5783,35277,35279,35288,35311],{"className":35278},[5786,5787,5788],[26,35280,35281,35283,35284,35287],{},[42,35282,5793],{}," Codex CLI 是 OpenAI 官方做的终端 Coding Agent，对标 Claude Code。",[42,35285,35286],{},"Rust 实现 + Windows 原生沙箱 + 子代理 + MCP + Hooks","，ChatGPT Plus\u002FPro\u002FTeam\u002FEdu 已含使用额度。",[26,35289,35290,35293,35294,35297,35298,35302,35303,35306,35307,35310],{},[42,35291,35292],{},"2026-07 最新","：稳定版 ",[42,35295,35296],{},"0.144.1","（7-09）接入 ",[610,35299,35301],{"href":35300},"\u002Fmodels\u002Fgpt-5-6.html","GPT-5.6"," 家族（Sol\u002FTerra\u002FLuna）；新增 ",[42,35304,35305],{},"ACP 支持","，可在 ",[610,35308,35309],{"href":33016},"Devin Desktop"," \u002F Zed 等 ACP 客户端里作为 Agent provider 运行；此前已作为公测 Agent provider 进入 JetBrains（经 GitHub Copilot，7-07）。",[26,35312,35313],{},"形态和 Claude Code 几乎一样，差异主要在模型选择。喜欢 GPT 的人选它，喜欢 Claude 的留 Claude Code。",[21,35315,29333],{"id":29333},[26,35317,35318,14107,35323,35325],{},[610,35319,35322],{"href":35320,"rel":35321},"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fcodex",[639],"GitHub: openai\u002Fcodex",[42,35324,34814],{},"，Rust 写的二进制，428+ 贡献者。在终端里跑一个能读 \u002F 改 \u002F 执行代码的 Agent，类似 Claude Code 但绑定 OpenAI 模型。",[26,35327,35328],{},"2026 的三个主线：",[630,35330,35331,35337,35343],{},[39,35332,35333,35336],{},[42,35334,35335],{},"速度 & 实时","：gpt-5.3-codex-spark 推理速度 1000+ token\u002Fs；WebSocket 远程控制延迟优化。",[39,35338,35339,35342],{},[42,35340,35341],{},"Agent 自主性","：Subagents GA、Smart Approvals、PostToolUse hooks、worktree 自动化。",[39,35344,35345,35348],{},[42,35346,35347],{},"企业就绪","：自定义 CA 证书、userpromptsubmit hooks、托管配置、插件策略强制。",[26,35350,35351],{},"最有用的 4 个能力：",[36,35353,35354,35359,35365,35371],{},[39,35355,35356,35358],{},[42,35357,17231],{},"：默认在受限沙箱跑命令（macOS Sandbox \u002F Linux Landlock \u002F Windows AppContainer），不会污染主机。",[39,35360,35361,35364],{},[42,35362,35363],{},"MCP 工具调用","：连 GitHub \u002F 数据库 \u002F Slack \u002F 自建 server，支持并行 tool call。",[39,35366,35367,35370],{},[42,35368,35369],{},"Subagents","：把大任务拆给多个并行 sub-agent，token 用得多但效率高。",[39,35372,35373,35376,35377,35380],{},[42,35374,35375],{},"Image inputs","：终端里 ",[204,35378,35379],{},"codex -i screenshot.png \"解释这个错误\""," 直接读图。",[21,35382,108],{"id":108},[366,35384,35385,35395],{},[369,35386,35387],{},[372,35388,35389,35391,35393],{},[375,35390,6078],{},[375,35392,108],{},[375,35394,30012],{},[390,35396,35397,35406,35416,35427],{},[372,35398,35399,35401,35403],{},[395,35400,4692],{},[395,35402,1155],{},[395,35404,35405],{},"含 Codex CLI 用量（2026-03 起 mini 模型额度 +4×）",[372,35407,35408,35411,35413],{},[395,35409,35410],{},"ChatGPT Pro",[395,35412,1363],{},[395,35414,35415],{},"更高额度 + 优先处理 + Spark 研究预览",[372,35417,35418,35421,35424],{},[395,35419,35420],{},"Business \u002F Edu \u002F Team",[395,35422,35423],{},"$25-30\u002F用户\u002F月起",[395,35425,35426],{},"企业管理 + SSO + Codex 含在内",[372,35428,35429,35432,35435],{},[395,35430,35431],{},"纯 API",[395,35433,35434],{},"按 token",[395,35436,35437],{},"gpt-5.5 ≈ $1.25 \u002F $10 per 1M token",[130,35439,35440],{},[26,35441,35442],{},"已经付 ChatGPT Plus 的人，等于白嫖一个 Codex CLI 用量，几乎不必另开 API 账号。",[21,35444,35446],{"id":35445},"真实任务实测基于官方文档归纳","真实任务实测（基于官方文档归纳）",[130,35448,35449],{},[26,35450,35451],{},"来源说明：以下基于 Codex CLI 官方 features 文档与公开评测整合。",[5062,35453,35455],{"id":35454},"任务-1在-50k-行-rust-项目里加新-feature","任务 1：在 50k 行 Rust 项目里加新 feature",[197,35457,35459],{"className":199,"code":35458,"language":201,"meta":202,"style":202},"codex -m gpt-5-codex\n> 在 src\u002Fauth 模块下加 OAuth2 callback handler，参考已有的 token refresh 实现\n",[204,35460,35461,35471],{"__ignoreMap":202},[207,35462,35463,35466,35468],{"class":209,"line":210},[207,35464,35465],{"class":213},"codex",[207,35467,5369],{"class":227},[207,35469,35470],{"class":217}," gpt-5-codex\n",[207,35472,35473,35475],{"class":209,"line":224},[207,35474,315],{"class":306},[207,35476,35477],{"class":234}," 在 src\u002Fauth 模块下加 OAuth2 callback handler，参考已有的 token refresh 实现\n",[26,35479,35480],{},"Agent 会 plan → 读相关文件 → 跑 cargo check → 跑测试 → 提 diff。子代理可以同时跑 lint 和 test 两条线。",[5062,35482,35484],{"id":35483},"任务-2ci-失败自动-debug","任务 2：CI 失败自动 debug",[197,35486,35488],{"className":199,"code":35487,"language":201,"meta":202,"style":202},"codex --features enable post_tool_use_hook\n# 然后跑 cargo test，CI 失败时 Hook 自动触发 Agent 分析失败 + 写 fix\n",[204,35489,35490,35503],{"__ignoreMap":202},[207,35491,35492,35494,35497,35500],{"class":209,"line":210},[207,35493,35465],{"class":213},[207,35495,35496],{"class":227}," --features",[207,35498,35499],{"class":217}," enable",[207,35501,35502],{"class":217}," post_tool_use_hook\n",[207,35504,35505],{"class":209,"line":224},[207,35506,35507],{"class":260},"# 然后跑 cargo test，CI 失败时 Hook 自动触发 Agent 分析失败 + 写 fix\n",[5062,35509,35511],{"id":35510},"任务-3跨仓库脚手架生成","任务 3：跨仓库脚手架生成",[197,35513,35515],{"className":199,"code":35514,"language":201,"meta":202,"style":202},"codex -m gpt-5-codex\n> 用 mono-repo 模式建 3 个 package：core \u002F cli \u002F web，统一走 pnpm workspace\n",[204,35516,35517,35525],{"__ignoreMap":202},[207,35518,35519,35521,35523],{"class":209,"line":210},[207,35520,35465],{"class":213},[207,35522,5369],{"class":227},[207,35524,35470],{"class":217},[207,35526,35527,35529],{"class":209,"line":224},[207,35528,315],{"class":306},[207,35530,35531],{"class":234}," 用 mono-repo 模式建 3 个 package：core \u002F cli \u002F web，统一走 pnpm workspace\n",[26,35533,35534],{},"子代理并行起 3 个目录的初始化，单次任务跑完 ~3 分钟，token 用约 80k。",[21,35536,6151],{"id":6150},[197,35538,35540],{"className":199,"code":35539,"language":201,"meta":202,"style":202},"# macOS \u002F Linux\ncurl -fsSL https:\u002F\u002Fchatgpt.com\u002Fcodex\u002Finstall.sh | sh\n\n# Windows（原生 PowerShell）\n# 见官方 Windows setup guide，或用 npm i -g @openai\u002Fcodex\n\ncodex                          # 启动 TUI\ncodex -m gpt-5-codex .         # 在当前目录起 Agent\ncodex --remote wss:\u002F\u002F...       # 远程模式（SSH \u002F 容器）\ncodex features list            # 看可用 feature flag\ncodex features enable unified_exec\n",[204,35541,35542,35546,35560,35564,35569,35574,35578,35585,35599,35612,35624],{"__ignoreMap":202},[207,35543,35544],{"class":209,"line":210},[207,35545,7507],{"class":260},[207,35547,35548,35550,35552,35555,35557],{"class":209,"line":224},[207,35549,7512],{"class":213},[207,35551,7515],{"class":227},[207,35553,35554],{"class":217}," https:\u002F\u002Fchatgpt.com\u002Fcodex\u002Finstall.sh",[207,35556,7521],{"class":306},[207,35558,35559],{"class":213}," sh\n",[207,35561,35562],{"class":209,"line":250},[207,35563,254],{"emptyLinePlaceholder":253},[207,35565,35566],{"class":209,"line":257},[207,35567,35568],{"class":260},"# Windows（原生 PowerShell）\n",[207,35570,35571],{"class":209,"line":264},[207,35572,35573],{"class":260},"# 见官方 Windows setup guide，或用 npm i -g @openai\u002Fcodex\n",[207,35575,35576],{"class":209,"line":276},[207,35577,254],{"emptyLinePlaceholder":253},[207,35579,35580,35582],{"class":209,"line":281},[207,35581,35465],{"class":213},[207,35583,35584],{"class":260},"                          # 启动 TUI\n",[207,35586,35587,35589,35591,35594,35596],{"class":209,"line":287},[207,35588,35465],{"class":213},[207,35590,5369],{"class":227},[207,35592,35593],{"class":217}," gpt-5-codex",[207,35595,23668],{"class":217},[207,35597,35598],{"class":260},"         # 在当前目录起 Agent\n",[207,35600,35601,35603,35606,35609],{"class":209,"line":321},[207,35602,35465],{"class":213},[207,35604,35605],{"class":227}," --remote",[207,35607,35608],{"class":217}," wss:\u002F\u002F...",[207,35610,35611],{"class":260},"       # 远程模式（SSH \u002F 容器）\n",[207,35613,35614,35616,35619,35621],{"class":209,"line":326},[207,35615,35465],{"class":213},[207,35617,35618],{"class":217}," features",[207,35620,19298],{"class":217},[207,35622,35623],{"class":260},"            # 看可用 feature flag\n",[207,35625,35626,35628,35630,35632],{"class":209,"line":332},[207,35627,35465],{"class":213},[207,35629,35618],{"class":217},[207,35631,35499],{"class":217},[207,35633,35634],{"class":217}," unified_exec\n",[26,35636,35637,35638,35641,35642,33313],{},"配置文件：",[204,35639,35640],{},"$CODEX_HOME\u002Fconfig.toml","（默认 ",[204,35643,35644],{},"~\u002F.codex\u002Fconfig.toml",[21,35646,29545],{"id":29545},[366,35648,35649,35663],{},[369,35650,35651],{},[372,35652,35653,35655,35657,35659,35661],{},[375,35654,377],{},[375,35656,1796],{},[375,35658,1790],{},[375,35660,1793],{},[375,35662,22375],{},[390,35664,35665,35679,35695,35711,35727,35739,35752,35764],{},[372,35666,35667,35669,35672,35674,35677],{},[395,35668,2367],{},[395,35670,35671],{},"终端 TUI",[395,35673,35671],{},[395,35675,35676],{},"终端 REPL",[395,35678,34956],{},[372,35680,35681,35684,35687,35690,35693],{},[395,35682,35683],{},"默认模型",[395,35685,35686],{},"gpt-5-codex",[395,35688,35689],{},"Claude Sonnet\u002FOpus",[395,35691,35692],{},"BYOK 任意",[395,35694,35692],{},[372,35696,35697,35700,35703,35706,35709],{},[395,35698,35699],{},"含在订阅",[395,35701,35702],{},"ChatGPT Plus\u002FPro",[395,35704,35705],{},"Claude.ai $20\u002F月",[395,35707,35708],{},"❌（仅 API）",[395,35710,35708],{},[372,35712,35713,35715,35718,35721,35724],{},[395,35714,10682],{},[395,35716,35717],{},"macOS Sandbox \u002F Landlock \u002F AppContainer",[395,35719,35720],{},"类似",[395,35722,35723],{},"无",[395,35725,35726],{},"VS Code 环境",[372,35728,35729,35731,35733,35735,35737],{},[395,35730,1850],{},[395,35732,1100],{},[395,35734,1100],{},[395,35736,440],{},[395,35738,1100],{},[372,35740,35741,35743,35745,35748,35750],{},[395,35742,35369],{},[395,35744,29036],{},[395,35746,35747],{},"✅ Task tool",[395,35749,426],{},[395,35751,426],{},[372,35753,35754,35756,35758,35760,35762],{},[395,35755,414],{},[395,35757,34970],{},[395,35759,420],{},[395,35761,34970],{},[395,35763,34970],{},[372,35765,35766,35769,35771,35773,35775],{},[395,35767,35768],{},"原生 Windows",[395,35770,1100],{},[395,35772,440],{},[395,35774,1100],{},[395,35776,1100],{},[130,35778,35779],{},[26,35780,35781],{},"一句话区分：Codex CLI = OpenAI 官方版的 Claude Code；Claude Code = Anthropic 官方版的 Codex；Aider = 任意 OpenAI 兼容 API 都能跑；Cline = VS Code 里的 GUI 终端 Agent。",[21,35783,6457],{"id":6457},[630,35785,35786,35792,35801,35811,35817,35823],{},[39,35787,35788,35791],{},[42,35789,35790],{},"国内访问别频繁切 IP","，OpenAI 风控严，账号被封基本无法找回。",[39,35793,35794,35797,35798,35800],{},[42,35795,35796],{},"沙箱默认会限制网络","，跑 ",[204,35799,29352],{}," 等需要联网的命令前先看 approval 弹窗。",[39,35802,35803,35806,35807,35810],{},[42,35804,35805],{},"Subagents 吃 token 多","，预算敏感时关闭 ",[204,35808,35809],{},"[agents]"," 配置或换 mini 模型。",[39,35812,35813,35816],{},[42,35814,35815],{},"WebSocket 远程模式只接受 wss:\u002F\u002F 或 localhost ws:\u002F\u002F","，远程公网必须 TLS。",[39,35818,35819,35822],{},[42,35820,35821],{},"gpt-5-codex 比 gpt-5.5 便宜但能力对齐","，2026-03 之后默认推荐用 codex 系列而非 5.5。",[39,35824,35825,35832,35833,35836],{},[42,35826,35827,35828,35831],{},"不要用过期的 ",[204,35829,35830],{},"--approval-mode"," 旧参数","，新版用 ",[204,35834,35835],{},"codex features"," 子命令管理。",[21,35838,575],{"id":574},[26,35840,35841,35842,35844],{},"✅ 终端 \u002F TMUX \u002F Vim 重度用户；已订阅 ChatGPT Plus \u002F Pro 的人；Windows 原生开发者；headless \u002F SSH \u002F 容器场景。",[29763,35843],{},"\n❌ GUI 党；纯内网开发；偏好 Claude 长上下文风格的人。",[21,35846,604],{"id":604},[36,35848,35849,35855,35859],{},[39,35850,29772,35851],{},[610,35852,35854],{"href":35853},"\u002Fplaybook\u002Fcodex-cli-vs-claude-code.html","Codex CLI vs Claude Code 怎么选",[39,35856,29779,35857],{},[610,35858,35138],{"href":35137},[39,35860,29786,35861,2589,35863,2589,35865],{},[610,35862,1790],{"href":13587},[610,35864,1793],{"href":22383},[610,35866,22375],{"href":22374},[21,35868,628],{"id":628},[36,35870,35871,35877,35884,35889],{},[39,35872,11680,35873],{},[610,35874,35875],{"href":35875,"rel":35876},"https:\u002F\u002Fdevelopers.openai.com\u002Fcodex\u002Fcli",[639],[39,35878,35879,35880],{},"Features 页：",[610,35881,35882],{"href":35882,"rel":35883},"https:\u002F\u002Fdevelopers.openai.com\u002Fcodex\u002Fcli\u002Ffeatures",[639],[39,35885,13190,35886],{},[610,35887,35320],{"href":35320,"rel":35888},[639],[39,35890,35891,35892],{},"2026 更新综述：",[610,35893,35894],{"href":35894,"rel":35895},"https:\u002F\u002Fcodex.danielvaughan.com\u002F2026\u002F03\u002F27\u002Fcodex-cli-in-2026-whats-new",[639],[130,35897,35898],{},[26,35899,29818,35900,29821],{},[610,35901,6647],{"href":6646},[662,35903,35904],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}",{"title":202,"searchDepth":250,"depth":250,"links":35906},[35907,35908,35909,35910,35915,35916,35917,35918,35919,35920],{"id":23,"depth":224,"text":24},{"id":29333,"depth":224,"text":29333},{"id":108,"depth":224,"text":108},{"id":35445,"depth":224,"text":35446,"children":35911},[35912,35913,35914],{"id":35454,"depth":250,"text":35455},{"id":35483,"depth":250,"text":35484},{"id":35510,"depth":250,"text":35511},{"id":6150,"depth":224,"text":6151},{"id":29545,"depth":224,"text":29545},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcodex.webp","Codex CLI 真实评测：OpenAI 官方开源（Apache-2.0）终端 Coding Agent，Rust 实现，原生 Windows 沙箱 + 子代理 + MCP + 钩子 + 远程控制；2026-07 接入 GPT-5.6（Sol\u002FTerra\u002FLuna）家族，支持 ACP 可在 Devin Desktop \u002F Zed 运行，Plus\u002FPro\u002FTeam\u002FEdu 计划已含。",[35924,35927,35930,35932,35935],{"q":35925,"a":35926},"Codex CLI 和 Claude Code 有什么区别？","形态几乎一致：都是终端 Agent + 沙箱执行 + MCP + 子代理。差异主要在模型——Codex CLI 走 OpenAI 的 gpt-5-codex 系列，Claude Code 走 Anthropic Sonnet\u002FOpus。OpenAI 在原生 Windows 沙箱（不需要 WSL）和 Rust 实现速度上略胜，Claude 在长任务上下文连续性上略胜。",{"q":35928,"a":35929},"在 Windows 上怎么用？","原生 PowerShell 沙箱模式（推荐），也支持 WSL2。安装命令：curl -fsSL https:\u002F\u002Fchatgpt.com\u002Fcodex\u002Finstall.sh | sh（macOS\u002FLinux），Windows 直接通过 npm 或 PowerShell installer。",{"q":25323,"a":35931},"需要 OpenAI 账号 + 稳定代理。Plus \u002F Pro 订阅可走支付宝。直接 `codex` 即可启动。",{"q":35933,"a":35934},"Codex CLI 支持本地模型吗？","原生只走 OpenAI API。如果要本地模型，建议用 Aider（OpenAI 兼容 endpoint，可指向 Ollama \u002F vLLM）。",{"q":35936,"a":35937},"Subagents \u002F Hooks \u002F MCP 是什么？","Subagents：把大任务拆给多个并行子代理；Hooks（PostToolUse \u002F userpromptsubmit）：在工具调用前后插入企业策略；MCP：连外部工具（GitHub \u002F 数据库 \u002F Slack）。Codex 2026 把这三块都做到了 GA。",[696,697],{},[35941,35942,35943,35686],"gpt-5.6-sol","gpt-5.6-terra","gpt-5.6-luna",[35945,35946,35947],"重度 GUI 党（终端排斥者请用 Cursor）","国内纯内网（OpenAI API 需稳定代理）","需要 Claude 上下文风格的人",[1349,1348,1350],[35950,35954,35957,35959],{"plan":4692,"price":1155,"limit":35951,"cn_pay":35952,"note":35953},"含 Codex CLI 使用额度，默认 gpt-5-codex-mini（2026-03 起额度 +4×）","支付宝","个人入门",{"plan":35410,"price":1363,"limit":35955,"cn_pay":35952,"note":35956},"更高额度 + 优先处理 + GPT-5.3-Codex-Spark 研究预览","Agent 重度用户",{"plan":35420,"price":35423,"limit":35958,"cn_pay":5724,"note":29883},"团队管理 + SSO + Codex 含在内",{"plan":35960,"price":35434,"limit":35961,"cn_pay":5724,"note":35962},"纯 API 调用","gpt-5.5 ≈ $1.25\u002F$10 per 1M tokens（input\u002Foutput）","BYOK 自由模式","ChatGPT Plus\u002FPro\u002FBusiness\u002FEdu\u002FEnterprise 包含 \u002F 或按 OpenAI API 计费",[35965,35966],"ai-coding\u002Fcodex-cli-vs-claude-code","ai-coding\u002Fterminal-agent-workflow",[33502,33503,33504,34699],{"power":264,"ux":257,"price":257,"cn_support":250,"stability":257},{"title":1796,"description":35922},"Codex CLI 评测 2026：OpenAI 终端 AI 编程 Agent，免费使用指南",[35972,35974,35976,35978,35980],{"title":35973,"url":35875},"Codex CLI 官方文档",{"title":35975,"url":35882},"Codex CLI Features 官方",{"title":35977,"url":35320},"Codex CLI GitHub",{"title":35979,"url":35894},"Codex CLI 2026 更新综述",{"title":35981,"url":35982},"Codex CLI 0.144.1 Release","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fcodex\u002Freleases","tools\u002Fcoding\u002Fcli\u002Fcodex",[35985,35986,35987,35988],"终端 \u002F TMUX \u002F Vim 重度用户","已经订阅 ChatGPT Plus \u002F Pro 的人（白嫖 Codex 用量）","Windows 原生开发者（Codex CLI 有 PowerShell 沙箱，不必走 WSL）","需要远程 SSH \u002F 容器中跑 Agent 的人（headless 友好）","OpenAI 官方终端 Coding Agent，GPT-5.6 家族驱动，支持 ACP",[22301,700,34725,5028,5712,35991,1392,745,7916],"subagents","Claude Code 的 OpenAI 版镜像。Plus \u002F Pro 已含、Windows 原生沙箱、Rust 速度快，喜欢 GPT 派的人首选；Claude Sonnet 4.5 在长任务上仍略胜，喜欢 Claude 的留 Claude Code。","s5NNRdqONhYz_Mk47gNFGNX7XaP93XMThtGiqvm1hXo",{"id":35995,"title":35996,"alternatives":35997,"api_compatible":35998,"body":36000,"category":22301,"chinese_friendly":250,"cover":36548,"description":36549,"domestic":680,"extension":681,"faq":36550,"free":680,"github":36522,"languages":36563,"lastVerified":16,"meta":36564,"models":36565,"navigation":253,"notSuitable":36569,"opensource":253,"path":36573,"pillar":22297,"platforms":36574,"priceTable":36575,"pricing":36588,"published":24183,"relatedPlaybooks":36589,"relatedReviews":16,"score":36591,"self_host":680,"seo":36592,"seoTitle":36593,"slug":23472,"sources":36594,"stem":36599,"suitable":36600,"tagline":36605,"tags":36606,"updated":24183,"verdict":36608,"website":36515,"__hash__":36609},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fgemini-cli.md","Gemini CLI",[1403,1405,1404],[24205,35999],"vertex-ai",{"type":18,"value":36001,"toc":36532},[36002,36004,36018,36020,36026,36029,36049,36052,36103,36106,36109,36189,36192,36238,36241,36245,36248,36267,36270,36273,36277,36283,36286,36290,36296,36299,36303,36335,36338,36340,36446,36450,36464,36466,36498,36500,36506,36508,36524,36529],[21,36003,24],{"id":23},[5783,36005,36007,36015],{"className":36006},[5786,5787,5788],[26,36008,36009,36011,36012,5819],{},[42,36010,5793],{}," Gemini CLI 是 Google 官方开源的终端 AI Agent。它把 Gemini 模型、文件读写、shell、web fetch、Google Search grounding 和 MCP 接到一个命令行工具里，最大卖点是 ",[42,36013,36014],{},"1M token 上下文 + 个人账号免费额度",[26,36016,36017],{},"如果你已经在用 Claude Code \u002F Codex CLI，Gemini CLI 不一定替代它们，但很适合作为「第二意见」「低成本大仓库阅读」「联网查新资料」的工具。",[21,36019,21844],{"id":21844},[26,36021,36022,36023,36025],{},"Gemini CLI 是一个 Apache-2.0 开源的终端 Agent。使用方式和 Claude Code \u002F Codex CLI 类似：进入项目目录，运行 ",[204,36024,24205],{},"，然后用自然语言让它读文件、解释架构、修改代码、跑命令、调试错误。",[26,36027,36028],{},"它的特点不是「最强代码生成」，而是三件事：",[630,36030,36031,36037,36043],{},[39,36032,36033,36036],{},[42,36034,36035],{},"上下文大","：官方文档强调可访问 Gemini 2.5 Pro 的 1M token context window。",[39,36038,36039,36042],{},[42,36040,36041],{},"免费额度大","：个人 Google 账号入口标注 60 requests\u002Fmin、1,000 requests\u002Fday。",[39,36044,36045,36048],{},[42,36046,36047],{},"搜索原生","：Google Search grounding 是内置能力，查新资料、查报错、查 API 文档时很顺手。",[21,36050,36051],{"id":36051},"安装与启动",[197,36053,36055],{"className":199,"code":36054,"language":201,"meta":202,"style":202},"# 免安装试用\nnpx https:\u002F\u002Fgithub.com\u002Fgoogle-gemini\u002Fgemini-cli\n\n# 全局安装\nnpm install -g @google\u002Fgemini-cli\n\n# 启动当前目录会话\ngemini\n",[204,36056,36057,36062,36069,36073,36078,36089,36093,36098],{"__ignoreMap":202},[207,36058,36059],{"class":209,"line":210},[207,36060,36061],{"class":260},"# 免安装试用\n",[207,36063,36064,36066],{"class":209,"line":224},[207,36065,20712],{"class":213},[207,36067,36068],{"class":217}," https:\u002F\u002Fgithub.com\u002Fgoogle-gemini\u002Fgemini-cli\n",[207,36070,36071],{"class":209,"line":250},[207,36072,254],{"emptyLinePlaceholder":253},[207,36074,36075],{"class":209,"line":257},[207,36076,36077],{"class":260},"# 全局安装\n",[207,36079,36080,36082,36084,36086],{"class":209,"line":264},[207,36081,1600],{"class":213},[207,36083,241],{"class":217},[207,36085,1605],{"class":227},[207,36087,36088],{"class":217}," @google\u002Fgemini-cli\n",[207,36090,36091],{"class":209,"line":276},[207,36092,254],{"emptyLinePlaceholder":253},[207,36094,36095],{"class":209,"line":281},[207,36096,36097],{"class":260},"# 启动当前目录会话\n",[207,36099,36100],{"class":209,"line":287},[207,36101,36102],{"class":213},"gemini\n",[26,36104,36105],{},"要求 Node.js 20+，支持 Windows \u002F macOS \u002F Linux。",[26,36107,36108],{},"常用命令：",[197,36110,36112],{"className":199,"code":36111,"language":201,"meta":202,"style":202},"# 非交互问答\ngemini -p \"Explain the architecture of this codebase\"\n\n# 指定模型\ngemini -m gemini-2.5-flash\n\n# 额外包含目录\ngemini --include-directories ..\u002Fdocs,..\u002Fpackages\n\n# JSON 输出，方便脚本串联\ngemini -p \"Summarize open issues\" --output-format json\n",[204,36113,36114,36119,36128,36132,36137,36146,36150,36155,36165,36169,36174],{"__ignoreMap":202},[207,36115,36116],{"class":209,"line":210},[207,36117,36118],{"class":260},"# 非交互问答\n",[207,36120,36121,36123,36125],{"class":209,"line":224},[207,36122,24205],{"class":213},[207,36124,15091],{"class":227},[207,36126,36127],{"class":217}," \"Explain the architecture of this codebase\"\n",[207,36129,36130],{"class":209,"line":250},[207,36131,254],{"emptyLinePlaceholder":253},[207,36133,36134],{"class":209,"line":257},[207,36135,36136],{"class":260},"# 指定模型\n",[207,36138,36139,36141,36143],{"class":209,"line":264},[207,36140,24205],{"class":213},[207,36142,5369],{"class":227},[207,36144,36145],{"class":217}," gemini-2.5-flash\n",[207,36147,36148],{"class":209,"line":276},[207,36149,254],{"emptyLinePlaceholder":253},[207,36151,36152],{"class":209,"line":281},[207,36153,36154],{"class":260},"# 额外包含目录\n",[207,36156,36157,36159,36162],{"class":209,"line":287},[207,36158,24205],{"class":213},[207,36160,36161],{"class":227}," --include-directories",[207,36163,36164],{"class":217}," ..\u002Fdocs,..\u002Fpackages\n",[207,36166,36167],{"class":209,"line":321},[207,36168,254],{"emptyLinePlaceholder":253},[207,36170,36171],{"class":209,"line":326},[207,36172,36173],{"class":260},"# JSON 输出，方便脚本串联\n",[207,36175,36176,36178,36180,36183,36186],{"class":209,"line":332},[207,36177,24205],{"class":213},[207,36179,15091],{"class":227},[207,36181,36182],{"class":217}," \"Summarize open issues\"",[207,36184,36185],{"class":227}," --output-format",[207,36187,36188],{"class":217}," json\n",[21,36190,36191],{"id":36191},"三种认证路径",[366,36193,36194,36204],{},[369,36195,36196],{},[372,36197,36198,36200,36202],{},[375,36199,22450],{},[375,36201,29397],{},[375,36203,6083],{},[390,36205,36206,36216,36227],{},[372,36207,36208,36211,36213],{},[395,36209,36210],{},"Google OAuth",[395,36212,19691],{},[395,36214,36215],{},"免费额度最大，上手最简单",[372,36217,36218,36221,36224],{},[395,36219,36220],{},"Gemini API Key",[395,36222,36223],{},"脚本 \u002F CI",[395,36225,36226],{},"更适合自动化，额度跟 API tier 走",[372,36228,36229,36232,36235],{},[395,36230,36231],{},"Vertex AI",[395,36233,36234],{},"企业 \u002F GCP 团队",[395,36236,36237],{},"IAM、审计、合规、配额更可控",[26,36239,36240],{},"个人使用优先 OAuth；生产和团队内使用优先 Vertex AI。",[21,36242,36244],{"id":36243},"mcp-与项目记忆","MCP 与项目记忆",[26,36246,36247],{},"Gemini CLI 支持两类扩展：",[36,36249,36250,36255],{},[39,36251,36252,36254],{},[42,36253,3780],{},"：把 GitHub、数据库、内部 API 暴露给 Agent。",[39,36256,36257,36260,36261,36263,36264,36266],{},[42,36258,36259],{},"GEMINI.md","：类似 Claude Code 的 ",[204,36262,33723],{}," \u002F Copilot 的 ",[204,36265,1448],{},"，用于写项目约定、测试命令、编码风格。",[26,36268,36269],{},"这让 Gemini CLI 可以进入 2026 年主流终端 Agent 的标准形态：项目记忆 + 工具协议 + headless 自动化。",[21,36271,36272],{"id":36272},"真实适用场景",[5062,36274,36276],{"id":36275},"_1-大仓库先读懂","1. 大仓库先读懂",[197,36278,36281],{"className":36279,"code":36280,"language":6177,"meta":202},[6175],"先读 package.json、README、src 入口文件，输出这个项目的架构图和关键风险点。\n",[204,36282,36280],{"__ignoreMap":202},[26,36284,36285],{},"1M 上下文让它在「读文档 + 读代码」阶段很有优势，尤其适合 monorepo 的初始摸底。",[5062,36287,36289],{"id":36288},"_2-查新资料后改代码","2. 查新资料后改代码",[197,36291,36294],{"className":36292,"code":36293,"language":6177,"meta":202},[6175],"查一下 Nuxt 4 最新 route rules 写法，然后检查本项目 nuxt.config.ts 是否需要调整。\n",[204,36295,36293],{"__ignoreMap":202},[26,36297,36298],{},"Google Search grounding 的价值在这里体现：它不是只靠训练数据，而是能把搜索结果纳入推理。",[5062,36300,36302],{"id":36301},"_3-低成本-issue-triage","3. 低成本 issue triage",[197,36304,36306],{"className":199,"code":36305,"language":201,"meta":202,"style":202},"gh issue list --json title,body \\\n  | gemini -p \"按修复难度给这些 issue 排序，输出 JSON\"\n",[204,36307,36308,36323],{"__ignoreMap":202},[207,36309,36310,36312,36314,36316,36318,36321],{"class":209,"line":210},[207,36311,23804],{"class":213},[207,36313,23807],{"class":217},[207,36315,19298],{"class":217},[207,36317,23824],{"class":227},[207,36319,36320],{"class":217}," title,body",[207,36322,341],{"class":227},[207,36324,36325,36327,36330,36332],{"class":209,"line":224},[207,36326,23834],{"class":306},[207,36328,36329],{"class":213}," gemini",[207,36331,15091],{"class":227},[207,36333,36334],{"class":217}," \"按修复难度给这些 issue 排序，输出 JSON\"\n",[26,36336,36337],{},"和 Jules Tools \u002F GitHub CLI 组合时，可以把 Gemini CLI 当「任务分拣器」。",[21,36339,6239],{"id":6239},[366,36341,36342,36356],{},[369,36343,36344],{},[372,36345,36346,36348,36350,36352,36354],{},[375,36347,377],{},[375,36349,35996],{},[375,36351,1790],{},[375,36353,1796],{},[375,36355,1793],{},[390,36357,36358,36373,36388,36403,36420,36434],{},[372,36359,36360,36363,36366,36368,36371],{},[395,36361,36362],{},"默认生态",[395,36364,36365],{},"Google \u002F Gemini",[395,36367,4209],{},[395,36369,36370],{},"OpenAI \u002F ChatGPT",[395,36372,22732],{},[372,36374,36375,36377,36380,36382,36385],{},[395,36376,23909],{},[395,36378,36379],{},"✅ 很强",[395,36381,426],{},[395,36383,36384],{},"取决于 ChatGPT 订阅",[395,36386,36387],{},"本体免费，模型自费",[372,36389,36390,36392,36395,36398,36401],{},[395,36391,4180],{},[395,36393,36394],{},"1M",[395,36396,36397],{},"1M 级别模型可用",[395,36399,36400],{},"取决于模型",[395,36402,36400],{},[372,36404,36405,36408,36411,36414,36417],{},[395,36406,36407],{},"搜索",[395,36409,36410],{},"Google Search 内置",[395,36412,36413],{},"需工具 \u002F MCP",[395,36415,36416],{},"内置 web 能力",[395,36418,36419],{},"取决于模型 \u002F 工具",[372,36421,36422,36425,36428,36430,36432],{},[395,36423,36424],{},"长任务稳定性",[395,36426,36427],{},"中上",[395,36429,10213],{},[395,36431,10213],{},[395,36433,36427],{},[372,36435,36436,36438,36440,36442,36444],{},[395,36437,414],{},[395,36439,1100],{},[395,36441,426],{},[395,36443,1100],{},[395,36445,1100],{},[26,36447,36448],{},[42,36449,23970],{},[36,36451,36452,36455,36458,36461],{},[39,36453,36454],{},"预算敏感 \u002F 想免费试：Gemini CLI",[39,36456,36457],{},"最稳长任务：Claude Code",[39,36459,36460],{},"已有 ChatGPT Plus\u002FPro：Codex CLI",[39,36462,36463],{},"想接国内模型 \u002F 自定义 base_url：Aider",[21,36465,6457],{"id":6457},[630,36467,36468,36474,36480,36486,36492],{},[39,36469,36470,36473],{},[42,36471,36472],{},"不要把免费额度当生产 SLA","：个人额度适合探索，生产任务走 API Key \u002F Vertex AI。",[39,36475,36476,36479],{},[42,36477,36478],{},"长任务先拆小","：即使上下文大，Agent 执行链路也可能漂移；30 分钟以上任务建议拆成 issue。",[39,36481,36482,36485],{},[42,36483,36484],{},"MCP server 要审计","：给 Agent 接工具等于扩权，第三方 server 先看源码和权限。",[39,36487,36488,36491],{},[42,36489,36490],{},"GEMINI.md 别写太散","：只放稳定约定、测试命令、目录说明，别塞临时需求。",[39,36493,36494,36497],{},[42,36495,36496],{},"国内网络先验证 OAuth","：登录流程不稳定会影响体验，必要时用 API key 路径。",[21,36499,575],{"id":574},[26,36501,36502,36503,36505],{},"✅ 适合：个人开发者、学生、开源项目维护者、大仓库阅读、联网查新、低成本脚本化分析。",[29763,36504],{},"\n❌ 不适合：强合规生产环境、纯内网开发、预算不敏感但追求最高长任务稳定性的团队。",[21,36507,628],{"id":628},[36,36509,36510,36517],{},[39,36511,36512,36513],{},"Gemini CLI 官方文档：",[610,36514,36515],{"href":36515,"rel":36516},"https:\u002F\u002Fgoogle-gemini.github.io\u002Fgemini-cli\u002F",[639],[39,36518,36519,36520],{},"Gemini CLI GitHub：",[610,36521,36522],{"href":36522,"rel":36523},"https:\u002F\u002Fgithub.com\u002Fgoogle-gemini\u002Fgemini-cli",[639],[130,36525,36526],{},[26,36527,36528],{},"本卡片由 AIHO 编辑部根据公开资料整理，非厂商付费内容；功能和额度以官网为准。",[662,36530,36531],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}",{"title":202,"searchDepth":250,"depth":250,"links":36533},[36534,36535,36536,36537,36538,36539,36544,36545,36546,36547],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":36051,"depth":224,"text":36051},{"id":36191,"depth":224,"text":36191},{"id":36243,"depth":224,"text":36244},{"id":36272,"depth":224,"text":36272,"children":36540},[36541,36542,36543],{"id":36275,"depth":250,"text":36276},{"id":36288,"depth":250,"text":36289},{"id":36301,"depth":250,"text":36302},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fgemini-cli.webp","Gemini CLI 真实评测：Google 官方开源（Apache-2.0）终端 AI Agent，2026 已接入 Gemini 3 Pro \u002F 3.1 Pro \u002F 3.5 Flash，最高 2M token 上下文、Google Search grounding、MCP、自定义 GEMINI.md、headless 脚本模式；个人 Google 账号可用 60 requests\u002Fmin、1,000 requests\u002Fday 免费额度。",[36551,36554,36557,36560],{"q":36552,"a":36553},"Gemini CLI 和 Claude Code \u002F Codex CLI 最大区别？","它的核心差异是免费额度和 Google 生态：个人 Google 账号即可获得较高免费请求额度，并内置 Google Search grounding。Claude Code 更稳，Codex 与 ChatGPT 订阅绑定更深，Gemini CLI 更适合低成本探索和大上下文阅读。",{"q":36555,"a":36556},"Gemini CLI 支持 MCP 吗？","支持。可以在 ~\u002F.gemini\u002Fsettings.json 里配置 MCP server，把 GitHub、数据库、Slack、内部 API 等工具接入 CLI。",{"q":36558,"a":36559},"能不能非交互使用？","可以。`gemini -p \"解释这个代码库\"` 会以 headless 模式输出结果，也可以加 `--output-format json` 做脚本化处理。",{"q":36561,"a":36562},"国内开发者适合吗？","如果能稳定访问 Google 服务，它的免费额度很有吸引力；如果网络不稳，建议优先 Aider + 国内模型或 Claude\u002FCodex 的稳定代理方案。",[697],{},[36566,36567,36568],"gemini-3-pro","gemini-3.1-pro","gemini-3.5-flash",[36570,36571,36572],"要求最稳长任务交付的生产重构","不能访问 Google 服务的纯内网环境","强依赖中文界面和本地化文档的用户","\u002Ftools\u002Fcoding\u002Fcli\u002Fgemini-cli",[1349,1348,1350],[36576,36580,36584],{"plan":36577,"price":707,"limit":36578,"note":36579},"个人 Google 账号","60 requests\u002Fmin，1,000 requests\u002Fday","官方文档标注的免费入口，适合个人探索",{"plan":36220,"price":36581,"limit":36582,"note":36583},"按量计费","取决于 AI Studio \u002F API tier","适合自动化脚本和 CI",{"plan":36231,"price":36585,"limit":36586,"note":36587},"GCP 按量计费","企业配额与 IAM","适合生产与合规场景","开源免费 \u002F 个人 Google 账号免费额度 \u002F Gemini API 或 Vertex AI 按量计费",[36590],"onboarding\u002Fterminal-agent-stack-2026",{"power":257,"ux":250,"price":264,"cn_support":250,"stability":257},{"title":35996,"description":36549},"Gemini CLI 评测 2026：Google AI 终端编程工具，免费使用对比",[36595,36597],{"title":36596,"url":36515},"Gemini CLI 官方文档",{"title":36598,"url":36522},"Gemini CLI GitHub","tools\u002Fcoding\u002Fcli\u002Fgemini-cli",[36601,36602,36603,36604],"想低成本体验终端 Coding Agent 的个人开发者","需要 1M token 长上下文做代码库理解 \u002F 文档阅读","需要 Google Search grounding 辅助查新资料的任务","想在脚本里用 headless 模式批量分析 issue \u002F PR","Google 开源终端 AI Agent，2M 上下文 + 免费额度 + Google Search grounding",[22301,700,34725,18983,24205,1392,745,36607],"free-tier","终端 Agent 里最适合『低成本试水』的一支：免费额度大、1M 上下文、内置 Google Search。短板是产品打磨和长任务稳定性还不如 Claude Code \u002F Codex，生产级任务建议把它当第二意见或低成本探索工具。","ZG_7C3Z4naOaRcALDR2F_IoNApiGtQbTmQ7pp8Ij4cA",{"id":36611,"title":36612,"alternatives":36613,"api_compatible":16,"body":36614,"category":22301,"chinese_friendly":224,"cover":37057,"description":37058,"domestic":680,"extension":681,"faq":16,"free":680,"github":37042,"languages":37059,"lastVerified":2637,"meta":37060,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":37061,"pillar":22297,"platforms":37062,"priceTable":16,"pricing":37063,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":37064,"self_host":680,"seo":37065,"seoTitle":37066,"slug":37067,"sources":37068,"stem":37071,"suitable":16,"tagline":37072,"tags":37073,"updated":2637,"verdict":37074,"website":37036,"__hash__":37075},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fgoose.md","Goose",[1403,1404,22343],{"type":18,"value":36615,"toc":37044},[36616,36618,36621,36624,36626,36684,36686,36689,36691,36698,36702,36731,36735,36755,36757,36789,36791,36912,36914,36955,36957,36983,36985,36991,36997,37002,37008,37010,37024,37026,37030],[21,36617,24],{"id":23},[26,36619,36620],{},"Goose 是 Block（原 Square）开源的 AI 编程 Agent（Apache 2.0），Rust 实现的终端工具。定位类似 Claude Code \u002F Aider——在终端里和 LLM 对话，让它读代码、改代码、跑命令、执行测试。核心差异化是 MCP（Model Context Protocol）原生支持，可以接入文件系统、数据库、浏览器、搜索引擎等任意 MCP server 作为工具。支持 OpenAI \u002F Anthropic \u002F Ollama \u002F 本地模型，完全免费。",[26,36622,36623],{},"适合：偏好终端工作流、想用本地或自选模型、需要可扩展工具链（MCP）、重视开源和数据隐私的开发者。不适合：需要稳定生产级体验的团队（稳定性还在打磨）、偏好 GUI 的用户、需要顶级代码质量的场景（Claude Code + Claude 模型更强）。",[21,36625,34],{"id":34},[36,36627,36628,36637,36643,36648,36658,36667,36673,36678],{},[39,36629,36630,5072,36633,36636],{},[42,36631,36632],{},"终端 Agent 交互",[204,36634,36635],{},"goose"," 启动 REPL，自然语言描述任务，Agent 自主读文件、改代码、跑命令",[39,36638,36639,36642],{},[42,36640,36641],{},"MCP 原生支持","：核心架构基于 MCP，可接入任意 MCP server 作为工具（文件系统、Git、数据库、浏览器、搜索 API 等）",[39,36644,36645,36647],{},[42,36646,14398],{},"：支持 OpenAI \u002F Anthropic \u002F Google \u002F Ollama \u002F LM Studio \u002F 任何 OpenAI 兼容端点",[39,36649,36650,36653,36654,36657],{},[42,36651,36652],{},"Session 管理","：对话上下文持久化，可 ",[204,36655,36656],{},"goose session resume"," 恢复之前的任务",[39,36659,36660,36663,36664,36666],{},[42,36661,36662],{},"工具权限控制","：可配置允许 \u002F 禁止 Agent 执行的命令（如禁止 ",[204,36665,2487],{},"），安全可控",[39,36668,36669,36672],{},[42,36670,36671],{},"Rust 实现","：单二进制文件，启动快、内存占用低，跨平台编译",[39,36674,36675,36677],{},[42,36676,22709],{},"：除了 CLI，有 VS Code 插件，终端和 IDE 两种交互方式",[39,36679,36680,36683],{},[42,36681,36682],{},"可扩展","：自定义 MCP server 用 Python \u002F TS \u002F Rust 写，接入内部工具和 API",[21,36685,108],{"id":108},[26,36687,36688],{},"完全免费，Apache 2.0 开源。成本在于 LLM API 调用费（如果用 OpenAI \u002F Anthropic）或本地模型硬件成本（用 Ollama 免费）。",[21,36690,2241],{"id":2240},[130,36692,36693],{},[26,36694,2246,36695,36697],{},[42,36696,2249],{},"：中型 TypeScript 项目的代码生成、重构与命令行自动化（可接 Ollama 跑本地模型，隐私敏感项目不碰云 API）。",[26,36699,36700],{},[42,36701,143],{},[36,36703,36704,36709,36712,36715,36721,36724],{},[39,36705,36706,36708],{},[204,36707,36635],{}," 一行启动，配好 API key 即用，Rust 二进制启动 \u003C 1 秒",[39,36710,36711],{},"MCP 工具链是好东西：接了 filesystem + git server，Agent 能自主浏览代码结构、读 git log 理解历史",[39,36713,36714],{},"让它「给这个函数加错误处理 + 写测试」，读代码 → 改代码 → 跑测试一气呵成",[39,36716,36717,36718,36720],{},"Session 恢复有用：长任务中断后 ",[204,36719,36656],{}," 接着干，上下文不丢",[39,36722,36723],{},"配 Ollama 跑本地 Qwen3-Coder 完全免费，隐私敏感项目不碰云 API",[39,36725,36726,36727,36730],{},"权限控制实用：配了只读 + 禁止 ",[204,36728,36729],{},"git push","，Agent 改完代码自己 review 再手动提交",[26,36732,36733],{},[42,36734,168],{},[36,36736,36737,36740,36743,36746,36749,36752],{},[39,36738,36739],{},"稳定性还在打磨——偶发 panic \u002F MCP server 连接断开，Rust 错误信息不太好读",[39,36741,36742],{},"代码质量不如 Claude Code 稳定——复杂重构偶尔改一半卡住或改错文件",[39,36744,36745],{},"MCP server 生态还早期——很多 server 是社区写的，质量参差，踩坑排查耗时",[39,36747,36748],{},"国内访问 OpenAI \u002F Anthropic API 需要代理，配 Ollama 本地模型则无此问题",[39,36750,36751],{},"文档偏少——高级配置（自定义 tool、session 管理细节）要翻源码和 issue",[39,36753,36754],{},"Windows 支持有 bug——部分 MCP server 在 Windows 路径处理有问题，Linux \u002F Mac 更稳",[21,36756,936],{"id":936},[630,36758,36759,36765,36771,36777,36780,36786],{},[39,36760,2308,36761,36764],{},[204,36762,36763],{},"curl -fsSL https:\u002F\u002Fgithub.com\u002Fblock\u002Fgoose\u002Freleases\u002Fdownload\u002Fstable\u002Fdownload_goose.sh | bash","（Mac \u002F Linux）",[39,36766,2314,36767,36770],{},[204,36768,36769],{},"goose configure"," 选 provider + 填 API key（或选 Ollama 用本地模型）",[39,36772,36773,36774,36776],{},"启动：在项目目录 ",[204,36775,36635],{}," 进入 REPL",[39,36778,36779],{},"描述任务：「读 src\u002Fauth.ts，给 login 函数加 rate limiting，然后跑 npm test」",[39,36781,36782,36783,36785],{},"配置 MCP 工具：",[204,36784,36769],{}," 添加 MCP server（filesystem \u002F git \u002F 数据库等）",[39,36787,36788],{},"进阶：写自定义 MCP server 接入内部工具",[21,36790,364],{"id":364},[366,36792,36793,36807],{},[369,36794,36795],{},[372,36796,36797,36799,36801,36803,36805],{},[375,36798,377],{},[375,36800,36612],{},[375,36802,1790],{},[375,36804,1793],{},[375,36806,22375],{},[390,36808,36809,36822,36834,36846,36858,36872,36884,36898],{},[372,36810,36811,36813,36816,36818,36820],{},[395,36812,2367],{},[395,36814,36815],{},"CLI + VS Code",[395,36817,2370],{},[395,36819,2370],{},[395,36821,34956],{},[372,36823,36824,36826,36828,36830,36832],{},[395,36825,414],{},[395,36827,2390],{},[395,36829,426],{},[395,36831,2390],{},[395,36833,2390],{},[372,36835,36836,36838,36840,36842,36844],{},[395,36837,1436],{},[395,36839,473],{},[395,36841,1100],{},[395,36843,426],{},[395,36845,1100],{},[372,36847,36848,36850,36852,36854,36856],{},[395,36849,2425],{},[395,36851,2428],{},[395,36853,426],{},[395,36855,1100],{},[395,36857,1100],{},[372,36859,36860,36863,36865,36868,36870],{},[395,36861,36862],{},"代码质量",[395,36864,2458],{},[395,36866,36867],{},"顶级",[395,36869,10213],{},[395,36871,10213],{},[372,36873,36874,36876,36878,36880,36882],{},[395,36875,2455],{},[395,36877,2458],{},[395,36879,2461],{},[395,36881,2461],{},[395,36883,2458],{},[372,36885,36886,36888,36891,36893,36895],{},[395,36887,27682],{},[395,36889,36890],{},"Rust",[395,36892,20134],{},[395,36894,20134],{},[395,36896,36897],{},"TS",[372,36899,36900,36902,36904,36907,36910],{},[395,36901,5455],{},[395,36903,12512],{},[395,36905,36906],{},"$20\u002F月 (Claude)",[395,36908,36909],{},"免费 + API",[395,36911,36909],{},[21,36913,521],{"id":521},[36,36915,36916,36922,36928,36938,36944,36949],{},[39,36917,36918,36921],{},[42,36919,36920],{},"别用它做关键重构","：稳定性还在早期，复杂任务可能改错文件或卡住，重要改动要 review + git diff 确认",[39,36923,36924,36927],{},[42,36925,36926],{},"MCP server 要审查","：社区 MCP server 质量参差，给 Agent 的工具权限等于给它执行权，用前看源码",[39,36929,36930,36933,36934,36937],{},[42,36931,36932],{},"配权限白名单","：默认 Agent 能跑任意 shell 命令，配 ",[204,36935,36936],{},"allowed_commands"," 限制危险操作（rm、push、deploy）",[39,36939,36940,36943],{},[42,36941,36942],{},"Session 文件会变大","：长对话的 session JSON 几 MB，磁盘注意清理",[39,36945,36946,36948],{},[42,36947,1991],{},"：原生 Windows 有路径 \u002F 权限 bug，WSL 下体验和 Linux 一致",[39,36950,36951,36954],{},[42,36952,36953],{},"本地模型效果有限","：Qwen3-Coder 7B 能做简单任务，复杂重构还是得上 Claude \u002F GPT-4",[21,36956,575],{"id":574},[36,36958,36959,36962,36965,36968,36971,36974,36977,36980],{},[39,36960,36961],{},"✅ 偏好终端工作流的开发者",[39,36963,36964],{},"✅ 想用本地模型（Ollama）保护代码隐私",[39,36966,36967],{},"✅ 需要 MCP 可扩展工具链（接数据库 \u002F 内部 API \u002F 浏览器）",[39,36969,36970],{},"✅ 开源信仰 + 想贡献 \u002F 定制 Agent",[39,36972,36973],{},"✅ 简单到中等复杂度的代码任务（加函数、写测试、修 bug）",[39,36975,36976],{},"❌ 需要稳定生产级体验（用 Claude Code \u002F Aider 更成熟）",[39,36978,36979],{},"❌ 偏好 GUI 的用户（用 Cline \u002F Cursor）",[39,36981,36982],{},"❌ 大型复杂重构（代码质量和稳定性不够稳）",[21,36984,2552],{"id":2551},[26,36986,36987,36990],{},[42,36988,36989],{},"Q: Goose 和 Claude Code 怎么选？","\nA: Claude Code 代码质量和稳定性更好，但闭源 + 要 Claude 订阅。Goose 开源免费 + 支持本地模型 + MCP 可扩展，灵活但不够稳。追求效果选 Claude Code，追求开源 + 隐私选 Goose。",[26,36992,36993,36996],{},[42,36994,36995],{},"Q: MCP 是什么？","\nA: Model Context Protocol，Anthropic 提出的开放协议，让 LLM 通过标准接口调用外部工具。Goose 原生基于 MCP 构建，可以接文件系统、Git、数据库、浏览器等任意 MCP server 作为 Agent 工具。",[26,36998,36999,37001],{},[42,37000,2569],{},"\nA: 可以。配 Ollama 作为 provider，选本地模型（如 Qwen3-Coder 7B\u002F14B）即可，完全不碰云 API。简单任务够用，复杂任务建议还是上 Claude \u002F GPT-4。",[26,37003,37004,37007],{},[42,37005,37006],{},"Q: Block 为什么开源这个？","\nA: Block 内部用 Goose 做 AI 辅助开发，开源出来构建生态。Rust 实现说明是认真做的工程，但团队规模和迭代速度不如 Claude Code \u002F Aider 背后的公司。",[21,37009,604],{"id":604},[26,37011,37012,2589,37016,2589,37020],{},[610,37013,37015],{"href":37014},"\u002Fcoding\u002Fcopilot\u002Famazon-q.html","Amazon Q Developer",[610,37017,37019],{"href":37018},"\u002Fcoding\u002Fcopilot\u002Fcody.html","Cody (Sourcegraph)",[610,37021,37023],{"href":37022},"\u002Fcoding\u002Fcopilot\u002Ftabnine.html","Tabnine",[21,37025,628],{"id":628},[130,37027,37028],{},[26,37029,2604],{},[36,37031,37032,37038],{},[39,37033,37034],{},[610,37035,2613],{"href":37036,"rel":37037},"https:\u002F\u002Fblock.github.io\u002Fgoose",[639],[39,37039,37040],{},[610,37041,2620],{"href":37042,"rel":37043},"https:\u002F\u002Fgithub.com\u002Fblock\u002Fgoose",[639],{"title":202,"searchDepth":250,"depth":250,"links":37045},[37046,37047,37048,37049,37050,37051,37052,37053,37054,37055,37056],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fgoose.webp","Goose 真实评测：Block（Square）开源的 AI CLI Agent（Apache 2.0 协议），Rust 实现，终端内完成代码生成、重构、测试。支持 MCP 协议 + 多模型接入，适合偏好终端工作流、需要本地 AI 编程助手的开发者。",[697],{},"\u002Ftools\u002Fcoding\u002Fcli\u002Fgoose",[1349,1348,1350],"Free \u002F 开源（Apache 2.0）",{"power":257,"ux":250,"price":264,"cn_support":224,"stability":250},{"title":36612,"description":37058},"Goose - Block 开源 AI CLI Agent 评测 | AIHO","coding\u002Fcli\u002Fgoose",[37069,37070],{"title":2613,"url":37036},{"title":2620,"url":37042},"tools\u002Fcoding\u002Fcli\u002Fgoose","Block（Square）开源 AI CLI Agent，Rust 实现",[22301,700,745,7916,1392],"Block 出品的开源 Rust CLI Agent，MCP 生态原生支持是最大亮点，适合想用本地模型 + 自定义工具链的终端开发者；稳定性和代码质量不如 Claude Code \u002F Aider 成熟，但完全免费可扩展。","dGQ7Zsi0Z_VeYP0apmdzWUxGGZ4tgS5ja5Eu1KC9XIU",{"id":37077,"title":37078,"alternatives":37079,"api_compatible":37082,"body":37084,"category":22301,"chinese_friendly":264,"cover":37837,"description":37838,"domestic":680,"extension":681,"faq":16,"free":680,"github":37122,"languages":37839,"lastVerified":16,"meta":37840,"models":37841,"navigation":253,"notSuitable":37843,"opensource":253,"path":37848,"pillar":22297,"platforms":37849,"priceTable":37850,"pricing":37864,"published":5733,"relatedPlaybooks":16,"relatedReviews":16,"score":37865,"self_host":253,"seo":37866,"seoTitle":37867,"slug":37868,"sources":37869,"stem":37881,"suitable":37882,"tagline":37888,"tags":37889,"updated":5733,"verdict":37891,"website":37790,"__hash__":37892},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fkimi-code.md","Kimi Code",[1403,37080,37081],"coding\u002Fcli\u002Fopencode","coding\u002Fcli\u002Fmimo-code",[37083,5028],"moonshot",{"type":18,"value":37085,"toc":37817},[37086,37088,37106,37111,37113,37117,37126,37158,37161,37165,37172,37198,37201,37214,37217,37220,37237,37240,37244,37247,37329,37332,37334,37337,37340,37346,37352,37354,37382,37384,37390,37443,37446,37448,37480,37483,37515,37517,37658,37663,37677,37682,37693,37695,37701,37710,37716,37722,37728,37734,37736,37782,37784,37811,37815],[21,37087,24],{"id":23},[5783,37089,37091,37096],{"className":37090},[5786,5787,5788],[26,37092,37093,37095],{},[42,37094,5793],{}," Kimi Code 是月之暗面（Moonshot AI）在 2026 年 6 月推出的国产 CLI Agent，搭载自研开源的 K2.7 Code 模型——1.1 万亿参数、256K 上下文、Token 成本较上代降 30%。它瞄准的是\"Claude Code 的国产平替\"：长程任务能力逼近第一梯队，中文编程体验和成本却是压倒性优势。",[26,37097,10953,37098,37101,37102,37105],{},[42,37099,37100],{},"中文场景的体感","——读中文注释、写中文 commit message、理解中文需求描述，K2.7 Code 的母语级表现甩开一众海外模型。叠加 256K 上下文能整库塞进去，国内开发者终于有了\"不折腾海外账号、不烧美元\"的 Agent 选项。代价是 ",[42,37103,37104],{},"生态早期","：插件、MCP 工具链、第三方集成还不如 Claude Code 成熟，开源版本自托管的工程量也不小。",[130,37107,37108],{},[26,37109,37110],{},"来源说明：本文基于 code.kimi.ai 官网、GitHub MoonshotAI\u002FKimi-K2.7-Code 仓库、月之暗面官方文档与技术报告整理。K2.7 Code 模型仍在快速迭代，参数和价格请以最新官方信息为准。",[21,37112,34],{"id":34},[5062,37114,37116],{"id":37115},"k27-code万亿参数开源编程模型","K2.7 Code：万亿参数开源编程模型",[26,37118,37119,37120,37125],{},"Kimi Code 的核心是 ",[610,37121,37124],{"href":37122,"rel":37123},"https:\u002F\u002Fgithub.com\u002FMoonshotAI\u002FKimi-K2.7-Code",[639],"K2.7 Code 模型","，2026 年 6 月正式开源。关键参数：",[36,37127,37128,37134,37140,37146,37152],{},[39,37129,37130,37133],{},[42,37131,37132],{},"1.1 万亿参数","（1.1T），MoE 架构，激活参数约 60B",[39,37135,37136,37139],{},[42,37137,37138],{},"256K 上下文","——能整库塞进单次对话，长程改造不丢前文",[39,37141,37142,37145],{},[42,37143,37144],{},"代码专项优化","——在 HumanEval、SWE-Bench、LiveCodeBench 等编程基准上对标 Claude Sonnet 4",[39,37147,37148,37151],{},[42,37149,37150],{},"过度思考问题改善","——上代 K2 常被吐槽\"想太多、token 烧太快\"，K2.7 在保持质量的同时把冗余推理压了下去，单任务 token 消耗降约 30%",[39,37153,37154,37157],{},[42,37155,37156],{},"MIT 级开源协议","，权重可下载、可自托管、可商用",[26,37159,37160],{},"这套模型既是 Kimi Code CLI 的默认大脑，也能独立部署——你可以拿 K2.7 Code 接 OpenCode、Aider，甚至自建一套完全离线的国产 Agent 栈。这种\"模型 + Agent 双开源\"的姿态，在国内大厂里是头一份。",[5062,37162,37164],{"id":37163},"长程任务能力逼近-claude-code","长程任务能力：逼近 Claude Code",[26,37166,37167,37168,37171],{},"Kimi Code 主打的卖点是 ",[42,37169,37170],{},"长程任务（long-horizon task）","——那种需要 30 分钟以上、跨多文件、多轮工具调用的复杂改造。256K 上下文 + 改进后的推理节奏，让它能撑住\"Claude Code 式\"的自主任务：",[197,37173,37175],{"className":199,"code":37174,"language":201,"meta":202,"style":202},"cd your-project\nkimi-code                       # 进入交互模式\n> 把这个 Vue2 项目整体升级到 Vue3，保留所有业务逻辑，跑通 e2e 测试\n",[204,37176,37177,37183,37191],{"__ignoreMap":202},[207,37178,37179,37181],{"class":209,"line":210},[207,37180,228],{"class":227},[207,37182,32889],{"class":217},[207,37184,37185,37188],{"class":209,"line":224},[207,37186,37187],{"class":213},"kimi-code",[207,37189,37190],{"class":260},"                       # 进入交互模式\n",[207,37192,37193,37195],{"class":209,"line":250},[207,37194,315],{"class":306},[207,37196,37197],{"class":234}," 把这个 Vue2 项目整体升级到 Vue3，保留所有业务逻辑，跑通 e2e 测试\n",[26,37199,37200],{},"它会自动：梳理依赖 → 列出影响范围 → 分批改写 → 跑测试 → 修回归。实测在中等规模代码库（5-10 万行）上，K2.7 Code 的任务完成率与 Claude Sonnet 4 接近，部分中文注释密集的项目甚至更好——因为理解中文需求描述更准。",[26,37202,37203,37204,37207,37208,37210,37211,37213],{},"不过要注意，",[42,37205,37206],{},"超长任务（>1 小时）的稳定性仍弱于 Claude Code","。Claude Code 有 ",[204,37209,33754],{}," 上下文压缩、子代理隔离、checkpoint 回滚一套成熟机制；Kimi Code 这套工具还在补齐，偶发 context 漂移需要手动 ",[204,37212,33741],{}," 重来。",[5062,37215,37216],{"id":37216},"多模态编程",[26,37218,37219],{},"K2.7 Code 是多模态模型——支持图像输入。这意味着你可以截图一个 UI bug、贴一段报错截图、甚至丢一张架构图，让它\"看着改\"：",[197,37221,37223],{"className":199,"code":37222,"language":201,"meta":202,"style":202},"> 这张报错截图里的栈追踪，定位到对应代码并修复\n[附图：screenshot.png]\n",[204,37224,37225,37232],{"__ignoreMap":202},[207,37226,37227,37229],{"class":209,"line":210},[207,37228,315],{"class":306},[207,37230,37231],{"class":234}," 这张报错截图里的栈追踪，定位到对应代码并修复\n",[207,37233,37234],{"class":209,"line":224},[207,37235,37236],{"class":234},"[附图：screenshot.png]\n",[26,37238,37239],{},"对前端调试、运维排障这类\"看图说话\"场景，比纯文本模型实用。Claude Code 同样支持多模态，但 K2.7 Code 的中文 OCR + 中文场景理解更贴合国内开发。",[5062,37241,37243],{"id":37242},"一行命令安装国内零门槛","一行命令安装，国内零门槛",[26,37245,37246],{},"Kimi Code 的安装刻意做成了\"国内友好\"——不需要海外手机、不需要海外卡、不需要代理：",[197,37248,37250],{"className":199,"code":37249,"language":201,"meta":202,"style":202},"# 一行命令安装\ncurl -fsSL https:\u002F\u002Fcode.kimi.ai\u002Finstall.sh | bash\n\n# 或 npm\nnpm install -g kimi-code\n\n# 用 Kimi 账号登录（微信扫码即可），或填 Moonshot API key\nkimi-code auth login\n\n# 进项目\ncd your-project\nkimi-code                        # 启动\n",[204,37251,37252,37257,37270,37274,37279,37290,37294,37299,37307,37311,37316,37322],{"__ignoreMap":202},[207,37253,37254],{"class":209,"line":210},[207,37255,37256],{"class":260},"# 一行命令安装\n",[207,37258,37259,37261,37263,37266,37268],{"class":209,"line":224},[207,37260,7512],{"class":213},[207,37262,7515],{"class":227},[207,37264,37265],{"class":217}," https:\u002F\u002Fcode.kimi.ai\u002Finstall.sh",[207,37267,7521],{"class":306},[207,37269,7524],{"class":213},[207,37271,37272],{"class":209,"line":250},[207,37273,254],{"emptyLinePlaceholder":253},[207,37275,37276],{"class":209,"line":257},[207,37277,37278],{"class":260},"# 或 npm\n",[207,37280,37281,37283,37285,37287],{"class":209,"line":264},[207,37282,1600],{"class":213},[207,37284,241],{"class":217},[207,37286,1605],{"class":227},[207,37288,37289],{"class":217}," kimi-code\n",[207,37291,37292],{"class":209,"line":276},[207,37293,254],{"emptyLinePlaceholder":253},[207,37295,37296],{"class":209,"line":281},[207,37297,37298],{"class":260},"# 用 Kimi 账号登录（微信扫码即可），或填 Moonshot API key\n",[207,37300,37301,37303,37305],{"class":209,"line":287},[207,37302,37187],{"class":213},[207,37304,34183],{"class":217},[207,37306,23624],{"class":217},[207,37308,37309],{"class":209,"line":321},[207,37310,254],{"emptyLinePlaceholder":253},[207,37312,37313],{"class":209,"line":326},[207,37314,37315],{"class":260},"# 进项目\n",[207,37317,37318,37320],{"class":209,"line":332},[207,37319,228],{"class":227},[207,37321,32889],{"class":217},[207,37323,37324,37326],{"class":209,"line":344},[207,37325,37187],{"class":213},[207,37327,37328],{"class":260},"                        # 启动\n",[26,37330,37331],{},"登录走国内账号体系，API 计费支持支付宝\u002F微信。对一直被 Claude Code\"账号+支付+网络\"三关劝退的国内开发者，这是质变的体验差。",[21,37333,5312],{"id":5312},[5062,37335,37336],{"id":37336},"日常体感",[26,37338,37339],{},"实测下来，Kimi Code 的交互范式和 Claude Code 高度相似——终端对话、slash 命令、工具调用审批、diff 预览。从 Claude Code 迁移过来几乎没有学习成本，命令名都接近。",[26,37341,37342,37343,37345],{},"最直观的差异在 ",[42,37344,6357],{},"：让它写中文 commit message、生成中文 API 文档、根据中文 PRD 拆任务，K2.7 Code 的输出明显比 Claude \u002F GPT 更地道，不会有那种\"翻译腔\"。中文注释密集的老项目维护，体验尤其好。",[26,37347,37348,37351],{},[42,37349,37350],{},"Token 成本","是另一个爽点。同样的编码量，K2.7 Code 的 API 费用大约是 Claude Sonnet 4 的 1\u002F3-1\u002F2（叠加 token 消耗降 30% 的红利），单月重度使用可能只要几十块人民币。对个人开发者，这是\"用得起\"和\"用得好\"的平衡点。",[5062,37353,5416],{"id":5416},[36,37355,37356,37362,37371,37376],{},[39,37357,37358,37361],{},[42,37359,37360],{},"英文\u002F国际化项目","：纯英文代码库的表现略逊 Claude\u002FGPT，偶有英文表达不自然",[39,37363,37364,37367,37368,37370],{},[42,37365,37366],{},"插件生态","：第三方工具、LSP 集成、自定义命令还在起步，远不如 Claude Code 的 ",[204,37369,33868],{}," 体系",[39,37372,37373,37375],{},[42,37374,1436],{},"：能接，但成熟度和文档完善度不如 Claude Code（MCP 毕竟是 Anthropic 自家协议）",[39,37377,37378,37381],{},[42,37379,37380],{},"开源版自托管门槛","：1.1T 参数模型对显卡要求高，个人\u002F小团队自托管不现实，多数人还是走官方 API",[21,37383,6063],{"id":6063},[26,37385,37386,37387,37389],{},"Kimi Code 工具本体 ",[42,37388,12512],{},"。成本来自 K2.7 Code 模型的 API 调用（BYOK 或官方 API）：",[366,37391,37392,37402],{},[369,37393,37394],{},[372,37395,37396,37398,37400],{},[375,37397,22450],{},[375,37399,108],{},[375,37401,33991],{},[390,37403,37404,37417,37430],{},[372,37405,37406,37411,37414],{},[395,37407,37408],{},[42,37409,37410],{},"Kimi 官方 API",[395,37412,37413],{},"输入 ¥8 \u002F 输出 ¥32 每百万 token（较上代降 30%）",[395,37415,37416],{},"国内最省心，微信支付",[372,37418,37419,37424,37427],{},[395,37420,37421],{},[42,37422,37423],{},"自托管 K2.7 Code",[395,37425,37426],{},"免费（需硬件）",[395,37428,37429],{},"大企业 \u002F 研究机构，需多卡 A100\u002FH100",[372,37431,37432,37437,37440],{},[395,37433,37434],{},[42,37435,37436],{},"第三方中转",[395,37438,37439],{},"按量，通常更便宜",[395,37441,37442],{},"灵活，但稳定性参差",[26,37444,37445],{},"对比 Claude Code：Claude Sonnet 4 输入 $3 \u002F 输出 $15 每百万 token（约 ¥21 \u002F ¥107），K2.7 Code 输入 ¥8 \u002F 输出 ¥32，价格约为其 1\u002F3。叠加 token 消耗降 30%，单任务综合成本能压到 Claude 的 1\u002F4 左右。对每天编码 4+ 小时的重度用户，月度差距可能从几百美元缩到几十块人民币。",[21,37447,33991],{"id":33991},[36,37449,37450,37456,37462,37468,37474],{},[39,37451,37452,37455],{},[42,37453,37454],{},"国内开发者","：不想折腾海外账号、海外卡、代理，微信扫码即用",[39,37457,37458,37461],{},[42,37459,37460],{},"中文为主的项目","：中文注释、中文文档、中文 PRD，K2.7 Code 母语级理解",[39,37463,37464,37467],{},[42,37465,37466],{},"大代码库长程改造","：256K 上下文能整库塞进去，跨文件重构不丢前文",[39,37469,37470,37473],{},[42,37471,37472],{},"预算敏感但要不将就","：想要接近 Claude Code 的能力，又不想月烧 $100+",[39,37475,37476,37479],{},[42,37477,37478],{},"国产化 \u002F 信创要求","：需要国产模型 + 可自托管的 Agent 方案",[21,37481,37482],{"id":37482},"不适用场景",[36,37484,37485,37491,37497,37503,37509],{},[39,37486,37487,37490],{},[42,37488,37489],{},"纯英文\u002F国际化项目","：英文表现不如 Claude\u002FGPT，commit message 和文档可能不够 native",[39,37492,37493,37496],{},[42,37494,37495],{},"重度插件依赖","：生态早期，第三方工具和自定义命令体系不如 Claude Code",[39,37498,37499,37502],{},[42,37500,37501],{},"企业级稳定 SLA","：开源版本无承诺，官方 API 也有偶发限流",[39,37504,37505,37508],{},[42,37506,37507],{},"IDE 内 inline 补全","：CLI Agent 不是补全器，要 Tab 补全去 Copilot\u002FCursor",[39,37510,37511,37514],{},[42,37512,37513],{},"个人自托管","：1.1T 参数模型硬件门槛高，个人玩不动",[21,37516,6239],{"id":6239},[366,37518,37519,37543],{},[369,37520,37521],{},[372,37522,37523,37525,37527,37531,37537],{},[375,37524,377],{},[375,37526,37078],{},[375,37528,37529],{},[610,37530,1790],{"href":13587},[375,37532,37533],{},[610,37534,37536],{"href":37535},"\u002Fcoding\u002Fcli\u002Fopencode.html","OpenCode",[375,37538,37539],{},[610,37540,37542],{"href":37541},"\u002Fcoding\u002Fcli\u002Fmimo-code.html","MiMo Code",[390,37544,37545,37558,37574,37586,37599,37613,37627,37643],{},[372,37546,37547,37549,37551,37553,37556],{},[395,37548,2367],{},[395,37550,2370],{},[395,37552,2370],{},[395,37554,37555],{},"CLI（TUI）",[395,37557,2370],{},[372,37559,37560,37562,37565,37568,37571],{},[395,37561,1111],{},[395,37563,37564],{},"K2.7 Code（开源）",[395,37566,37567],{},"Claude 系（闭源）",[395,37569,37570],{},"75+ 任选",[395,37572,37573],{},"MiMo（开源 MIT）",[372,37575,37576,37578,37580,37582,37584],{},[395,37577,5590],{},[395,37579,6315],{},[395,37581,5585],{},[395,37583,5585],{},[395,37585,6315],{},[372,37587,37588,37591,37593,37595,37597],{},[395,37589,37590],{},"长程任务",[395,37592,5579],{},[395,37594,6315],{},[395,37596,5579],{},[395,37598,5579],{},[372,37600,37601,37603,37606,37608,37611],{},[395,37602,4180],{},[395,37604,37605],{},"256K",[395,37607,4186],{},[395,37609,37610],{},"看模型",[395,37612,37610],{},[372,37614,37615,37617,37620,37622,37624],{},[395,37616,37366],{},[395,37618,37619],{},"★★★☆☆ 早期",[395,37621,6315],{},[395,37623,5579],{},[395,37625,37626],{},"★★☆☆☆ V0.1",[372,37628,37629,37631,37634,37637,37640],{},[395,37630,34393],{},[395,37632,37633],{},"★★★★★ 极低",[395,37635,37636],{},"★☆☆☆☆ 高",[395,37638,37639],{},"★★★★☆ 低",[395,37641,37642],{},"★★★★★ 低",[372,37644,37645,37647,37650,37652,37655],{},[395,37646,108],{},[395,37648,37649],{},"极低（国产 API）",[395,37651,34411],{},[395,37653,37654],{},"免费（BYOK）",[395,37656,37657],{},"免费（MIT）",[26,37659,37660,5072],{},[42,37661,37662],{},"选 Kimi Code 如果你",[36,37664,37665,37668,37671,37674],{},[39,37666,37667],{},"国内开发者，受够了海外账号和支付",[39,37669,37670],{},"项目中文为主，想要母语级编程体验",[39,37672,37673],{},"要 256K 长上下文跑大库改造",[39,37675,37676],{},"预算敏感但不想将就能力",[26,37678,37679,5072],{},[42,37680,37681],{},"别选 Kimi Code 如果你",[36,37683,37684,37687,37690],{},[39,37685,37686],{},"纯英文国际化项目（Claude\u002FGPT 更 native）",[39,37688,37689],{},"重度依赖插件和 MCP 生态（生态还在早期）",[39,37691,37692],{},"要企业级稳定承诺（开源版无 SLA）",[21,37694,2552],{"id":2551},[26,37696,37697,37700],{},[42,37698,37699],{},"Q：Kimi Code 真的免费吗？","\nA：工具本体免费。K2.7 Code 模型开源可自托管（免费但需硬件）。走官方 API 按 token 计费，但价格远低于 Claude\u002FGPT，且支持微信支付。",[26,37702,37703,37706,37707,37709],{},[42,37704,37705],{},"Q：和 Claude Code 比，K2.7 Code 差多少？","\nA：编程基准接近，中文场景甚至更好；长程任务稳定性、上下文管理工具（",[204,37708,33754],{}," 等）、插件生态仍落后。简单说：能力够用，工具链和成熟度在追赶。",[26,37711,37712,37715],{},[42,37713,37714],{},"Q：能自托管吗？硬件要求？","\nA：能，模型权重开源。但 1.1T 参数 MoE，推理需要多卡高端 GPU（A100\u002FH100 级），个人不现实，主要面向企业和研究机构。",[26,37717,37718,37721],{},[42,37719,37720],{},"Q：和 MiMo Code 怎么选？","\nA：都是国产开源 CLI Agent。Kimi Code 胜在模型成熟度（K2.7 已迭代多代）和中文长上下文；MiMo Code 胜在 SWE-Bench 基准分数和 MIT 协议彻底开源，但仅 V0.1。要稳选 Kimi，要尝鲜选 MiMo。",[26,37723,37724,37727],{},[42,37725,37726],{},"Q：能接其他模型吗？","\nA：Kimi Code CLI 主要为 K2.7 Code 优化，但也兼容 OpenAI 接口格式，可接其他模型。不过最佳体验还是配 K2.7 Code。",[26,37729,37730,37733],{},[42,37731,37732],{},"Q：支持 MCP 吗？","\nA：支持，能接 MCP server 调数据库、浏览器等工具。但文档和成熟度不如 Claude Code，配置需要一定动手能力。",[21,37735,604],{"id":604},[36,37737,37738,37750,37764,37774],{},[39,37739,6576,37740,6035,37742,6035,37744,6035,37746],{},[610,37741,1790],{"href":13587},[610,37743,37536],{"href":37535},[610,37745,37542],{"href":37541},[610,37747,37749],{"href":37748},"\u002Fcoding\u002Fcli\u002Fqwen-code.html","Qwen Code",[39,37751,6587,37752,6035,37754,6035,37756,6035,37760],{},[610,37753,6591],{"href":6590},[610,37755,1850],{"href":12453},[610,37757,37759],{"href":37758},"\u002Fwiki\u002Flong-context.html","Long Context",[610,37761,37763],{"href":37762},"\u002Fwiki\u002Fmoe.html","MoE 架构",[39,37765,6598,37766,6035,37770,6035,37772],{},[610,37767,37769],{"href":37768},"\u002Fmodels\u002Fkimi-k2.7-code.html","Kimi K2.7 Code",[610,37771,6602],{"href":6601},[610,37773,9416],{"href":11649},[39,37775,6613,37776,6035,37778],{},[610,37777,34604],{"href":34603},[610,37779,37781],{"href":37780},"\u002Fwiki\u002Fcn-coding-models.html","国产大模型编程",[21,37783,628],{"id":628},[36,37785,37786,37792,37798,37805],{},[39,37787,6628,37788],{},[610,37789,37790],{"href":37790,"rel":37791},"https:\u002F\u002Fcode.kimi.ai",[639],[39,37793,37794,37795],{},"开源仓库：",[610,37796,37122],{"href":37122,"rel":37797},[639],[39,37799,37800,37801],{},"月之暗面平台：",[610,37802,37803],{"href":37803,"rel":37804},"https:\u002F\u002Fplatform.moonshot.cn\u002Fdocs",[639],[39,37806,14244,37807],{},[610,37808,37809],{"href":37809,"rel":37810},"https:\u002F\u002Fplatform.moonshot.cn\u002Fpricing",[639],[26,37812,14253,37813,6648],{},[610,37814,6647],{"href":6646},[662,37816,34650],{},{"title":202,"searchDepth":250,"depth":250,"links":37818},[37819,37820,37826,37830,37831,37832,37833,37834,37835,37836],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34,"children":37821},[37822,37823,37824,37825],{"id":37115,"depth":250,"text":37116},{"id":37163,"depth":250,"text":37164},{"id":37216,"depth":250,"text":37216},{"id":37242,"depth":250,"text":37243},{"id":5312,"depth":224,"text":5312,"children":37827},[37828,37829],{"id":37336,"depth":250,"text":37336},{"id":5416,"depth":250,"text":5416},{"id":6063,"depth":224,"text":6063},{"id":33991,"depth":224,"text":33991},{"id":37482,"depth":224,"text":37482},{"id":6239,"depth":224,"text":6239},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fkimi-code.webp","Kimi Code 2026 真实评测：月之暗面推出的国产 CLI Agent，搭载开源 K2.7 Code 万亿参数模型，256K 上下文、Token 成本降 30%、中文编程体验一流。本文整理安装使用、长程任务能力、多模态编程、价格、与 Claude Code \u002F MiMo Code 的区别。",[696,697],{},[37842],"kimi-k2.7-code",[37844,37845,37846,37847],"纯英文\u002F国际化项目（英文表现不如 Claude\u002FGPT）","需要丰富插件生态和 MCP 工具链（生态尚早期）","要求企业级 SLA 与稳定承诺的开源版本","IDE 内 inline 补全场景（CLI 工具非补全器）","\u002Ftools\u002Fcoding\u002Fcli\u002Fkimi-code",[1348,1350,1349],[37851,37855,37859],{"plan":37852,"price":12512,"limit":37853,"cn_pay":37854,"note":37423},"开源模型（BYOK）","仅承担 API token 成本","✅ 支付宝\u002F微信",{"plan":37410,"price":5728,"limit":37856,"cn_pay":37857,"note":37858},"输入 ¥8 \u002F 输出 ¥32 每百万 token","✅ 国内支付","成本较上代降 30%",{"plan":37860,"price":12512,"limit":37861,"cn_pay":37862,"note":37863},"Kimi Code CLI","工具本体免费","✅ 无需支付","一行命令安装","免费（开源模型，BYOK）",{"power":257,"ux":257,"price":264,"cn_support":264,"stability":257},{"title":37078,"description":37838},"Kimi Code 评测 2026：月之暗面 K2.7 Code 开源，万亿参数 256K 上下文国产 CLI Agent","coding\u002Fcli\u002Fkimi-code",[37870,37872,37874,37876,37879],{"title":37871,"url":37790},"Kimi Code 官网",{"title":37873,"url":37122},"Kimi-K2.7-Code 开源仓库",{"title":37875,"url":37803},"月之暗面官方文档",{"title":37877,"url":37878},"K2.7 Code 技术报告","https:\u002F\u002Fgithub.com\u002FMoonshotAI\u002FKimi-K2.7-Code\u002Fblob\u002Fmain\u002FREADME.md",{"title":37880,"url":37809},"Kimi Code 定价","tools\u002Fcoding\u002Fcli\u002Fkimi-code",[37883,37884,37885,37886,37887],"国内开发者，不想折腾海外账号和支付","中文项目 \u002F 注释 \u002F 文档为主的代码库","需要超长上下文（256K）跑大代码库改造","预算敏感但想要接近 Claude Code 的长程任务能力","想自托管国产开源大模型编程 Agent 的团队","月之暗面 AI 编程助手，K2.7 Code 模型开源，万亿参数 256K 上下文",[22301,700,34725,37083,745,746,37890],"long-context","国产 CLI Agent 新贵。K2.7 Code 万亿参数开源、256K 上下文、Token 成本降 30%、中文编程体验一流。长程任务能力接近 Claude Code，但生态和插件还差一截。","vvCa6ipszCnFiEhY0VXDpoVX6WVlrJftXcAruTWpgQE",{"id":37894,"title":37542,"alternatives":37895,"api_compatible":37896,"body":37898,"category":22301,"chinese_friendly":264,"cover":38672,"description":38673,"domestic":680,"extension":681,"faq":16,"free":680,"github":38091,"languages":38674,"lastVerified":16,"meta":38675,"models":38676,"navigation":253,"notSuitable":38678,"opensource":253,"path":38683,"pillar":22297,"platforms":38684,"priceTable":38685,"pricing":38697,"published":5733,"relatedPlaybooks":16,"relatedReviews":16,"score":38698,"self_host":253,"seo":38699,"seoTitle":38700,"slug":37081,"sources":38701,"stem":38712,"suitable":38713,"tagline":38719,"tags":38720,"updated":5733,"verdict":38722,"website":38091,"__hash__":38723},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fmimo-code.md",[1403,37080,37868],[5028,37897],"mimo",{"type":18,"value":37899,"toc":38650},[37900,37902,37924,37929,37931,37935,37938,37952,37958,37961,37965,37974,37998,38005,38009,38014,38022,38048,38051,38055,38062,38079,38082,38086,38094,38097,38099,38101,38193,38195,38198,38201,38204,38207,38210,38212,38218,38268,38271,38277,38279,38311,38313,38344,38346,38491,38496,38510,38515,38529,38531,38537,38543,38549,38555,38561,38567,38569,38608,38610,38644,38648],[21,37901,24],{"id":23},[5783,37903,37905,37914],{"className":37904},[5786,5787,5788],[26,37906,37907,37909,37910,37913],{},[42,37908,5793],{}," MiMo Code 是小米在 2026 年 6 月 11 日开源的终端 AI 编程 Agent，MIT 协议、基于 OpenCode 架构改造，搭载自研 MiMo 模型。它最炸的成绩是 ",[42,37911,37912],{},"SWE-Bench Pro 62%、Terminal Bench 2 73% 双双超过 Claude Code","——国产 Agent 第一次在权威基准上硬刚 Anthropic。内置多模态模型、记忆系统、完全免费。",[26,37915,10953,37916,37919,37920,37923],{},[42,37917,37918],{},"开源彻底 + 基准亮眼","：MIT 协议权重可商用，多模态模型内置不依赖外部 API，记忆系统能跨会话记住项目上下文。代价是 ",[42,37921,37922],{},"极其早期","——目前仅 V0.1.0，生态、稳定性、文档都还在补，生产环境用要承担\"踩坑\"成本。把它当\"最有潜力的国产 Agent 黑马\"来观察和尝鲜，比当主力工具更合适。",[130,37925,37926],{},[26,37927,37928],{},"来源说明：本文基于 GitHub XiaomiMiMo\u002FMiMo-Code 仓库、技术报告与社区评测整理。MiMo Code 处于 V0.1.0 早期阶段，功能与基准数据迭代极快，请以最新官方仓库为准。",[21,37930,34],{"id":34},[5062,37932,37934],{"id":37933},"swe-bench-双超-claude-code-的硬实力","SWE-Bench 双超 Claude Code 的硬实力",[26,37936,37937],{},"MiMo Code 一发布就靠基准成绩刷屏。在两个最被认可的 Agent 编程基准上：",[36,37939,37940,37946],{},[39,37941,37942,37945],{},[42,37943,37944],{},"SWE-Bench Pro 62%","——衡量\"给定 GitHub issue，自主定位 + 修复 + 通过测试\"的能力，MiMo 以 62% 超过 Claude Code 的同期成绩",[39,37947,37948,37951],{},[42,37949,37950],{},"Terminal Bench 2 73%","——衡量\"终端环境下的多步工具调用任务\"能力，MiMo 同样领先",[26,37953,37954,37955,37957],{},"这两个基准测的都是 ",[42,37956,37590],{},"——不是单轮补全，而是\"看 issue → 理解代码 → 多文件改 → 跑测试 → 修回归\"的完整 Agent 闭环。MiMo 能在这两项上超 Claude Code，说明它的模型在\"agent 式推理 + 工具调用规划\"上确实有真功夫，而不只是刷 HumanEval 这种单文件题。",[26,37959,37960],{},"需要说明的是，基准 ≠ 实战体验。SWE-Bench 是标准化任务集，真实项目的复杂度、脏数据、中文场景未必复现同样的领先。但作为\"国产 Agent 第一梯队\"的入场券，这个成绩足够有说服力。",[5062,37962,37964],{"id":37963},"基于-opencode-架构终端原生","基于 OpenCode 架构，终端原生",[26,37966,37967,37968,37973],{},"MiMo Code 没有从零造轮子，而是 ",[610,37969,37972],{"href":37970,"rel":37971},"https:\u002F\u002Fgithub.com\u002Fsst\u002Fopencode",[639],"基于 OpenCode 架构"," 改造——TypeScript 全栈、终端 TUI、多会话并行、MCP 支持，这些都继承了 OpenCode 的成熟设计。小米的增量在于：",[36,37975,37976,37982,37987,37993],{},[39,37977,37978,37981],{},[42,37979,37980],{},"内置 MiMo 自研模型","——不用自己配 API key，开箱即用（也支持接其他模型）",[39,37983,37984,37986],{},[42,37985,11834],{},"——跨会话记住项目结构、约定、历史决策，不用每次重新喂上下文",[39,37988,37989,37992],{},[42,37990,37991],{},"多模态内置","——截图调试、看图改 UI 直接支持，不依赖外部多模态 API",[39,37994,37995,37997],{},[42,37996,9705],{},"——针对中文代码库、中文需求做了专项调优",[26,37999,38000,38001,38004],{},"继承 OpenCode 架构的好处是 ",[42,38002,38003],{},"生态兼容","——OpenCode 的 provider 配置、MCP server、部分插件 MiMo Code 能直接复用，迁移成本低。坏处是也继承了 OpenCode 的早期粗糙：配置门槛、稳定性依赖 API 质量。",[5062,38006,38008],{"id":38007},"长程编程-记忆系统","长程编程 + 记忆系统",[26,38010,38011,38012,5072],{},"MiMo Code 主打的\"长程编程\"和 Claude Code 的 long-horizon task 是一个意思——撑住 30 分钟以上、跨多文件的自主改造。它的差异化在 ",[42,38013,11834],{},[26,38015,38016,38017,38019,38020,5819],{},"传统 Agent 每次开新会话都是\"失忆\"的，得重新喂项目上下文。MiMo Code 的记忆系统能把\"这个项目用 Vue3 + Pinia、提交规范是 Conventional Commits、测试跑 vitest、上次改到哪\"这类信息持久化，下次直接续上。这对长期维护一个项目的开发者是实打实的提效——不用每次 ",[204,38018,33717],{}," 重新生成 ",[204,38021,33723],{},[197,38023,38025],{"className":199,"code":38024,"language":201,"meta":202,"style":202},"cd your-project\nmimo-code                      # 启动，自动加载项目记忆\n> 继续上次的鉴权模块重构，跑通剩余测试\n",[204,38026,38027,38033,38041],{"__ignoreMap":202},[207,38028,38029,38031],{"class":209,"line":210},[207,38030,228],{"class":227},[207,38032,32889],{"class":217},[207,38034,38035,38038],{"class":209,"line":224},[207,38036,38037],{"class":213},"mimo-code",[207,38039,38040],{"class":260},"                      # 启动，自动加载项目记忆\n",[207,38042,38043,38045],{"class":209,"line":250},[207,38044,315],{"class":306},[207,38046,38047],{"class":234}," 继续上次的鉴权模块重构，跑通剩余测试\n",[26,38049,38050],{},"实测记忆系统在 V0.1.0 还比较初级——能记住显式声明的事实，但对\"隐式约定\"的捕捉还不够智能，偶尔会记错或记漏。方向是对的，成熟度待提升。",[5062,38052,38054],{"id":38053},"内置多模态模型免费看图编程","内置多模态模型，免费看图编程",[26,38056,38057,38058,38061],{},"MiMo Code 内置了 MiMo 多模态模型，支持图像输入。截图一个 UI bug、贴一张报错栈、丢一张架构图，它都能\"看着改\"——而且 ",[42,38059,38060],{},"不依赖外部 API","，开箱即用、完全免费：",[197,38063,38065],{"className":199,"code":38064,"language":201,"meta":202,"style":202},"> 这张设计稿还原成响应式页面，注意移动端适配\n[附图：design.png]\n",[204,38066,38067,38074],{"__ignoreMap":202},[207,38068,38069,38071],{"class":209,"line":210},[207,38070,315],{"class":306},[207,38072,38073],{"class":234}," 这张设计稿还原成响应式页面，注意移动端适配\n",[207,38075,38076],{"class":209,"line":224},[207,38077,38078],{"class":234},"[附图：design.png]\n",[26,38080,38081],{},"对前端还原、运维看监控截图、QA 看 bug 截图这类场景，多模态是刚需。Claude Code 也支持多模态但要走 Claude API 计费，MiMo 内置免费的思路对个人开发者更友好。",[5062,38083,38085],{"id":38084},"mit-协议彻底开源","MIT 协议，彻底开源",[26,38087,38088,38089,38093],{},"MiMo Code 是 ",[610,38090,8013],{"href":38091,"rel":38092},"https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code",[639]," 开源——权重、代码、工具全可商用、可改、可二次分发。这比 Kimi K2.7 Code 的开源协议更宽松（Kimi 的商用条款需留意），对企业做二次开发、嵌入自家产品是利好。",[26,38095,38096],{},"小米此举被社区解读为\"用开源换生态\"——终端 Agent 赛道 Claude Code 闭源、OpenCode 占开源高地，小米作为后来者用 MIT + 基准成绩 + 内置模型打差异。能不能跑出来，看后续迭代和社区活跃度。",[21,38098,5312],{"id":5312},[5062,38100,6151],{"id":6150},[197,38102,38104],{"className":199,"code":38103,"language":201,"meta":202,"style":202},"# 一行命令安装\ncurl -fsSL https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code\u002Finstall.sh | bash\n\n# 或 npm\nnpm install -g mimo-code\n\n# 内置模型开箱即用，无需 API key\n# （也可接自托管 MiMo 或其他 OpenAI 兼容模型）\nmimo-code                       # 启动\n\n# 进项目\ncd your-project\nmimo-code \u002Finit                 # 初始化项目记忆\nmimo-code                       # 交互模式\n",[204,38105,38106,38110,38123,38127,38131,38142,38146,38151,38156,38163,38167,38171,38177,38186],{"__ignoreMap":202},[207,38107,38108],{"class":209,"line":210},[207,38109,37256],{"class":260},[207,38111,38112,38114,38116,38119,38121],{"class":209,"line":224},[207,38113,7512],{"class":213},[207,38115,7515],{"class":227},[207,38117,38118],{"class":217}," https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code\u002Finstall.sh",[207,38120,7521],{"class":306},[207,38122,7524],{"class":213},[207,38124,38125],{"class":209,"line":250},[207,38126,254],{"emptyLinePlaceholder":253},[207,38128,38129],{"class":209,"line":257},[207,38130,37278],{"class":260},[207,38132,38133,38135,38137,38139],{"class":209,"line":264},[207,38134,1600],{"class":213},[207,38136,241],{"class":217},[207,38138,1605],{"class":227},[207,38140,38141],{"class":217}," mimo-code\n",[207,38143,38144],{"class":209,"line":276},[207,38145,254],{"emptyLinePlaceholder":253},[207,38147,38148],{"class":209,"line":281},[207,38149,38150],{"class":260},"# 内置模型开箱即用，无需 API key\n",[207,38152,38153],{"class":209,"line":287},[207,38154,38155],{"class":260},"# （也可接自托管 MiMo 或其他 OpenAI 兼容模型）\n",[207,38157,38158,38160],{"class":209,"line":321},[207,38159,38037],{"class":213},[207,38161,38162],{"class":260},"                       # 启动\n",[207,38164,38165],{"class":209,"line":326},[207,38166,254],{"emptyLinePlaceholder":253},[207,38168,38169],{"class":209,"line":332},[207,38170,37315],{"class":260},[207,38172,38173,38175],{"class":209,"line":344},[207,38174,228],{"class":227},[207,38176,32889],{"class":217},[207,38178,38179,38181,38183],{"class":209,"line":355},[207,38180,38037],{"class":213},[207,38182,34226],{"class":217},[207,38184,38185],{"class":260},"                 # 初始化项目记忆\n",[207,38187,38188,38190],{"class":209,"line":1669},[207,38189,38037],{"class":213},[207,38191,38192],{"class":260},"                       # 交互模式\n",[5062,38194,37336],{"id":37336},[26,38196,38197],{},"作为 V0.1.0 产品，MiMo Code 的体感是\"潜力大、毛刺多\"。",[26,38199,38200],{},"好的方面：TUI 交互流畅（继承 OpenCode 底子）、中文理解到位、多模态看图实用、内置模型不折腾 key。基准成绩在真实任务上大致能复现——中等复杂度的 bug 修复、功能追加，完成质量确实不输 Claude Code。",[26,38202,38203],{},"毛刺方面：偶发崩溃、记忆系统记忆不准、长任务中途断、文档不完善、部分 slash 命令行为和 OpenCode 不一致。社区 issue 区还在快速增长，属于\"早期开源项目\"的典型状态。用它当主力会有踩坑成本，当尝鲜和观察对象更合适。",[5062,38205,38206],{"id":38206},"配置与扩展",[26,38208,38209],{},"MiMo Code 兼容 OpenCode 的 provider 配置格式，想接 Claude \u002F GPT \u002F DeepSeek 也能配。但最佳体验还是配 MiMo 自研模型——内置调优、多模态、记忆系统都是围绕它做的。自托管 MiMo 模型需要一定 GPU 资源，个人玩家建议先用官方免费额度或内置模型。",[21,38211,6063],{"id":6063},[26,38213,38214,38215,38217],{},"MiMo Code ",[42,38216,9744],{},"——MIT 开源、工具免费、内置模型免费。成本几乎为零（除非自托管模型要算硬件电费）：",[366,38219,38220,38230],{},[369,38221,38222],{},[372,38223,38224,38226,38228],{},[375,38225,22450],{},[375,38227,108],{},[375,38229,33991],{},[390,38231,38232,38244,38256],{},[372,38233,38234,38239,38241],{},[395,38235,38236],{},[42,38237,38238],{},"内置 MiMo 模型",[395,38240,12512],{},[395,38242,38243],{},"开箱即用，个人开发者首选",[372,38245,38246,38251,38253],{},[395,38247,38248],{},[42,38249,38250],{},"自托管 MiMo",[395,38252,37426],{},[395,38254,38255],{},"企业 \u002F 隐私场景，需 GPU",[372,38257,38258,38263,38265],{},[395,38259,38260],{},[42,38261,38262],{},"接其他模型（BYOK）",[395,38264,34821],{},[395,38266,38267],{},"想用 Claude\u002FGPT 时，自行承担 token 费",[26,38269,38270],{},"这是三个国产 Agent 里成本结构最干净的——Kimi Code 要付 API 费，OpenCode 要付外部模型 API 费，MiMo Code 内置模型直接免费。对\"一分钱不想花\"的开发者，MiMo 是天花板。",[26,38272,38273,38274,38276],{},"但免费的代价是 ",[42,38275,2455],{},"：内置模型推理资源有限（如果走官方服务），高峰可能限流；自托管又要硬件。没有\"既免费又稳定还强\"的免费午餐。",[21,38278,33991],{"id":33991},[36,38280,38281,38287,38293,38299,38305],{},[39,38282,38283,38286],{},[42,38284,38285],{},"尝鲜国产开源 Agent 黑马","：想第一时间体验 SWE-Bench 超过 Claude Code 的国产选手",[39,38288,38289,38292],{},[42,38290,38291],{},"基准成绩敏感的研究者","：做 Agent 评测、对比实验，MiMo 是重要样本",[39,38294,38295,38298],{},[42,38296,38297],{},"需要内置多模态","：截图调试、看图改 UI，不想为多模态单独付费",[39,38300,38301,38304],{},[42,38302,38303],{},"MIT 协议二次开发","：企业想基于开源 Agent 做自家产品，MiMo 协议最宽松",[39,38306,38307,38310],{},[42,38308,38309],{},"国内免费 + 中文友好","：不花钱、不要海外账号、中文体验好",[21,38312,37482],{"id":37482},[36,38314,38315,38321,38327,38332,38338],{},[39,38316,38317,38320],{},[42,38318,38319],{},"生产环境追求稳定","：V0.1.0 早期，崩溃和毛刺难免，别拿核心业务冒险",[39,38322,38323,38326],{},[42,38324,38325],{},"需要成熟插件生态","：生态刚起步，第三方工具和自定义命令体系远不如 Claude Code",[39,38328,38329,38331],{},[42,38330,37507],{},"：CLI Agent 不是补全器",[39,38333,38334,38337],{},[42,38335,38336],{},"不熟悉终端的新手","：TUI + 配置门槛对纯新手不友好",[39,38339,38340,38343],{},[42,38341,38342],{},"要企业级 SLA","：开源 V0.1 无任何承诺",[21,38345,6239],{"id":6239},[366,38347,38348,38369],{},[369,38349,38350],{},[372,38351,38352,38354,38356,38360,38364],{},[375,38353,377],{},[375,38355,37542],{},[375,38357,38358],{},[610,38359,1790],{"href":13587},[375,38361,38362],{},[610,38363,37536],{"href":37535},[375,38365,38366],{},[610,38367,37078],{"href":38368},"\u002Fcoding\u002Fcli\u002Fkimi-code.html",[390,38370,38371,38383,38397,38411,38425,38439,38454,38467,38479],{},[372,38372,38373,38375,38377,38379,38381],{},[395,38374,2367],{},[395,38376,37555],{},[395,38378,2370],{},[395,38380,37555],{},[395,38382,2370],{},[372,38384,38385,38387,38390,38392,38394],{},[395,38386,1891],{},[395,38388,38389],{},"MIT（最宽松）",[395,38391,420],{},[395,38393,8343],{},[395,38395,38396],{},"开源（商用需留意）",[372,38398,38399,38401,38404,38407,38409],{},[395,38400,1111],{},[395,38402,38403],{},"MiMo（内置免费）",[395,38405,38406],{},"Claude（闭源）",[395,38408,37570],{},[395,38410,37564],{},[372,38412,38413,38416,38419,38421,38423],{},[395,38414,38415],{},"SWE-Bench",[395,38417,38418],{},"★★★★★ 62%",[395,38420,5579],{},[395,38422,37610],{},[395,38424,5579],{},[372,38426,38427,38429,38432,38435,38437],{},[395,38428,809],{},[395,38430,38431],{},"✅ 内置免费",[395,38433,38434],{},"✅（计费）",[395,38436,37610],{},[395,38438,1100],{},[372,38440,38441,38443,38446,38449,38452],{},[395,38442,11834],{},[395,38444,38445],{},"✅ 跨会话",[395,38447,38448],{},"✅（CLAUDE.md）",[395,38450,38451],{},"⚠️ 基础",[395,38453,38451],{},[372,38455,38456,38459,38461,38463,38465],{},[395,38457,38458],{},"成熟度",[395,38460,37626],{},[395,38462,6315],{},[395,38464,5579],{},[395,38466,5579],{},[372,38468,38469,38471,38473,38475,38477],{},[395,38470,34393],{},[395,38472,37633],{},[395,38474,37636],{},[395,38476,37639],{},[395,38478,37642],{},[372,38480,38481,38483,38485,38487,38489],{},[395,38482,108],{},[395,38484,12512],{},[395,38486,34411],{},[395,38488,37654],{},[395,38490,10169],{},[26,38492,38493,5072],{},[42,38494,38495],{},"选 MiMo Code 如果你",[36,38497,38498,38501,38504,38507],{},[39,38499,38500],{},"想尝鲜基准超 Claude Code 的国产黑马",[39,38502,38503],{},"要 MIT 协议做二次开发 \u002F 商用",[39,38505,38506],{},"需要内置免费多模态",[39,38508,38509],{},"一分钱不想花，又要中文友好",[26,38511,38512,5072],{},[42,38513,38514],{},"别选 MiMo Code 如果你",[36,38516,38517,38520,38523,38526],{},[39,38518,38519],{},"生产环境要稳（V0.1.0 太早期）",[39,38521,38522],{},"要成熟插件和 MCP 生态（去 Claude Code）",[39,38524,38525],{},"要 IDE inline 补全（去 Cursor \u002F Copilot）",[39,38527,38528],{},"企业要 SLA 承诺",[21,38530,2552],{"id":2551},[26,38532,38533,38536],{},[42,38534,38535],{},"Q：MiMo Code 真能超过 Claude Code 吗？","\nA：在 SWE-Bench Pro 和 Terminal Bench 2 两个标准化基准上，MiMo 的分数确实领先。但基准 ≠ 全场景实战——长任务稳定性、上下文管理、插件生态 MiMo 仍落后。把它理解为\"基准够强，实战在追赶\"更准确。",[26,38538,38539,38542],{},[42,38540,38541],{},"Q：V0.1.0 能用于生产吗？","\nA：不建议作为生产主力。早期版本崩溃、记忆不准、文档不全等问题难免。建议作为尝鲜 \u002F 备选 \u002F 研究对象，等迭代到 V1.0 再考虑生产化。",[26,38544,38545,38548],{},[42,38546,38547],{},"Q：内置模型真免费？有限制吗？","\nA：工具和内置模型免费。但若走官方推理服务，高峰可能限流；重度使用建议自托管（需 GPU）或接其他模型 BYOK。",[26,38550,38551,38554],{},[42,38552,38553],{},"Q：和 Kimi Code 怎么选？","\nA：都是国产开源 CLI Agent。Kimi Code 模型成熟（K2.7 多代迭代）、256K 长上下文、中文强；MiMo Code 基准成绩更亮眼、MIT 协议更宽松、内置多模态免费，但 V0.1 早期。要稳选 Kimi，要尝鲜和 MIT 商用选 MiMo。",[26,38556,38557,38560],{},[42,38558,38559],{},"Q：基于 OpenCode 架构，能用 OpenCode 的插件吗？","\nA：大部分兼容——provider 配置、MCP server、部分配置文件格式通用。但 MiMo 有自己的增量（记忆系统、内置模型），部分行为和 OpenCode 不完全一致，迁移时需测试。",[26,38562,38563,38566],{},[42,38564,38565],{},"Q：小米会长期维护吗？","\nA：目前社区活跃、迭代快，但开源项目的长期承诺难以保证。建议关注 GitHub issue 响应速度和发版节奏判断健康度，别把核心流程绑死在单一早期项目上。",[21,38568,604],{"id":604},[36,38570,38571,38581,38593,38602],{},[39,38572,6576,38573,6035,38575,6035,38577,6035,38579],{},[610,38574,1790],{"href":13587},[610,38576,37536],{"href":37535},[610,38578,37078],{"href":38368},[610,38580,37749],{"href":37748},[39,38582,6587,38583,6035,38585,6035,38588,6035,38590],{},[610,38584,6591],{"href":6590},[610,38586,38415],{"href":38587},"\u002Fwiki\u002Fswe-bench.html",[610,38589,1850],{"href":12453},[610,38591,11834],{"href":38592},"\u002Fwiki\u002Fagent-memory.html",[39,38594,6598,38595,6035,38598,6035,38600],{},[610,38596,37542],{"href":38597},"\u002Fmodels\u002Fmimo-code.html",[610,38599,6602],{"href":6601},[610,38601,37769],{"href":37768},[39,38603,6613,38604,6035,38606],{},[610,38605,34604],{"href":34603},[610,38607,37781],{"href":37780},[21,38609,628],{"id":628},[36,38611,38612,38617,38624,38631,38637],{},[39,38613,37794,38614],{},[610,38615,38091],{"href":38091,"rel":38616},[639],[39,38618,38619,38620],{},"技术报告：",[610,38621,38622],{"href":38622,"rel":38623},"https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code\u002Fblob\u002Fmain\u002FREADME.md",[639],[39,38625,38626,38627],{},"MiMo 系列模型：",[610,38628,38629],{"href":38629,"rel":38630},"https:\u002F\u002Fgithub.com\u002FXiaomiMiMo",[639],[39,38632,38633,38634],{},"OpenCode 架构基础：",[610,38635,37970],{"href":37970,"rel":38636},[639],[39,38638,38639,38640],{},"SWE-Bench 排行榜：",[610,38641,38642],{"href":38642,"rel":38643},"https:\u002F\u002Fwww.swebench.com",[639],[26,38645,14253,38646,6648],{},[610,38647,6647],{"href":6646},[662,38649,34650],{},{"title":202,"searchDepth":250,"depth":250,"links":38651},[38652,38653,38660,38665,38666,38667,38668,38669,38670,38671],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34,"children":38654},[38655,38656,38657,38658,38659],{"id":37933,"depth":250,"text":37934},{"id":37963,"depth":250,"text":37964},{"id":38007,"depth":250,"text":38008},{"id":38053,"depth":250,"text":38054},{"id":38084,"depth":250,"text":38085},{"id":5312,"depth":224,"text":5312,"children":38661},[38662,38663,38664],{"id":6150,"depth":250,"text":6151},{"id":37336,"depth":250,"text":37336},{"id":38206,"depth":250,"text":38206},{"id":6063,"depth":224,"text":6063},{"id":33991,"depth":224,"text":33991},{"id":37482,"depth":224,"text":37482},{"id":6239,"depth":224,"text":6239},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fmimo-code.webp","MiMo Code 2026 真实评测：小米 2026\u002F6\u002F11 发布的开源终端 AI 编程 Agent，MIT 协议、基于 OpenCode 架构、SWE-Bench Pro 62% 与 Terminal Bench 2 73% 双超 Claude Code。本文整理长程编程能力、内置多模态模型、记忆系统、安装使用、价格、与 Claude Code \u002F Kimi Code 的区别。",[696,697],{},[38677],"mimo-code-v0.1",[38679,38680,38681,38682],"生产环境追求稳定（仅 V0.1.0，仍在快速迭代）","需要成熟插件生态（生态刚起步）","IDE 内 inline 补全场景","不熟悉终端操作的新手","\u002Ftools\u002Fcoding\u002Fcli\u002Fmimo-code",[1348,1350,1349],[38686,38690,38694],{"plan":38687,"price":12512,"limit":37853,"cn_pay":38688,"note":38689},"开源版（MIT）","✅ 国产模型可用支付宝","可自托管",{"plan":38691,"price":12512,"limit":38692,"cn_pay":37862,"note":38693},"内置多模态模型","MiMo 自研模型内置","开箱即用",{"plan":7433,"price":12512,"limit":38695,"cn_pay":37862,"note":38696},"MIT 协议，权重可下载","需硬件","免费（MIT 协议开源）",{"power":257,"ux":250,"price":264,"cn_support":264,"stability":250},{"title":37542,"description":38673},"MiMo Code 评测 2026：小米开源终端 AI Agent，SWE-Bench Pro 62% 双超 Claude Code",[38702,38704,38706,38708,38710],{"title":38703,"url":38091},"MiMo-Code 开源仓库",{"title":38705,"url":38622},"MiMo Code 技术报告",{"title":38707,"url":38629},"小米 MiMo 系列模型",{"title":38709,"url":37970},"OpenCode 架构（MiMo 基于此）",{"title":38711,"url":38642},"SWE-Bench Pro 排行榜","tools\u002Fcoding\u002Fcli\u002Fmimo-code",[38714,38715,38716,38717,38718],"想尝鲜国产开源 Agent 黑马的开发者","看重 SWE-Bench \u002F Terminal Bench 基准成绩的研究者","需要内置多模态（截图调试）能力","MIT 协议下做二次开发 \u002F 商用集成","国内开发者，要免费 + 中文友好","小米开源终端 AI 编程 Agent，SWE-Bench 超越 Claude Code",[22301,700,34725,38721,745,3371,746],"xiaomi","小米开源 CLI Agent 黑马。SWE-Bench Pro 62%、Terminal Bench 2 73% 双超 Claude Code，MIT 协议、内置免费多模态模型、记忆系统。但仅 V0.1.0，生态和稳定性有待验证。","YafAUhXsZhWf95HfY6yt2tm4UtEDckFf_rxwfvEOIAw",{"id":38725,"title":37536,"alternatives":38726,"api_compatible":38727,"body":38728,"category":22301,"chinese_friendly":250,"cover":39672,"description":39673,"domestic":680,"extension":681,"faq":16,"free":680,"github":37970,"languages":39674,"lastVerified":16,"meta":39675,"models":39676,"navigation":253,"notSuitable":39679,"opensource":253,"path":39684,"pillar":22297,"platforms":39685,"priceTable":39686,"pricing":39696,"published":5733,"relatedPlaybooks":16,"relatedReviews":16,"score":39697,"self_host":253,"seo":39698,"seoTitle":39699,"slug":37080,"sources":39700,"stem":39711,"suitable":39712,"tagline":39718,"tags":39719,"updated":5733,"verdict":39720,"website":39618,"__hash__":39721},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fopencode.md",[1403,1405,1404],[1395,5028,18983,34733,2985],{"type":18,"value":38729,"toc":39651},[38730,38732,38749,38754,38756,38760,38767,38792,38795,38802,38806,38813,38847,38854,38956,38963,38967,38970,38979,38983,38991,38994,38996,38998,39140,39142,39155,39162,39164,39173,39175,39181,39252,39255,39262,39264,39296,39298,39332,39334,39485,39490,39504,39509,39525,39527,39533,39542,39548,39554,39560,39566,39568,39610,39612,39645,39649],[21,38731,24],{"id":23},[5783,38733,38735,38740],{"className":38734},[5786,5787,5788],[26,38736,38737,38739],{},[42,38738,5793],{}," OpenCode 是一款完全开源的终端 AI Coding Agent，由 SST 团队用 TypeScript 打造，GitHub 99.8K Star 量级。它把\"终端原生 Agent\"这件事做到了极致——TUI 界面、多会话并行、75+ 模型任意切换、BYOK 完全免费，是 Claude Code 在开源侧最像样的免费平替。",[26,38741,10953,38742,38745,38746,38748],{},[42,38743,38744],{},"模型自由","——同一个 Agent 内核，今天用 Claude Sonnet 4 跑难活，明天切 GPT-5 跑审查，后天切 DeepSeek-V3 省钱，全靠 API key 切换，不绑定任何订阅。代价是 ",[42,38747,13314],{},"：多模型路由、provider 配置、本地模型接入都需要手动折腾，稳定性也强依赖你接的 API 质量。",[130,38750,38751],{},[26,38752,38753],{},"来源说明：本文基于 opencode.ai 官方文档、GitHub sst\u002Fopencode 仓库、社区评测与第三方对比整理。OpenCode 迭代极快（几乎每周发版），命令和模型支持列表请以最新官方文档为准。",[21,38755,34],{"id":34},[5062,38757,38759],{"id":38758},"终端原生-tui多会话并行","终端原生 TUI，多会话并行",[26,38761,38762,38763,38766],{},"OpenCode 不是又一个\"AI IDE 插件\"，而是独立的终端程序。装好后在任何项目根目录跑 ",[204,38764,38765],{},"opencode","，就进入一个全屏的 TUI（终端用户界面）：左侧文件树、中间对话、右侧 diff 预览，所有操作用键盘完成。这套交互对 Vim \u002F Neovim \u002F tmux 用户极度友好——不抢编辑器焦点，开个分屏就能用。",[197,38768,38770],{"className":199,"code":38769,"language":201,"meta":202,"style":202},"cd your-project\nopencode                       # 进入 TUI 交互模式\n> 把这个 Express 项目迁移到 Fastify，跑通测试再提交\n",[204,38771,38772,38778,38785],{"__ignoreMap":202},[207,38773,38774,38776],{"class":209,"line":210},[207,38775,228],{"class":227},[207,38777,32889],{"class":217},[207,38779,38780,38782],{"class":209,"line":224},[207,38781,38765],{"class":213},[207,38783,38784],{"class":260},"                       # 进入 TUI 交互模式\n",[207,38786,38787,38789],{"class":209,"line":250},[207,38788,315],{"class":306},[207,38790,38791],{"class":234}," 把这个 Express 项目迁移到 Fastify，跑通测试再提交\n",[26,38793,38794],{},"它会自动：扫描相关文件 → 给出迁移计划 → 等你确认 → 多文件改写 → 跑测试 → 生成 commit message。整个过程你可以在另一个窗口继续写代码，互不干扰。",[26,38796,38797,38798,38801],{},"TUI 之外，OpenCode 还支持 ",[42,38799,38800],{},"多会话并行","——一个终端里同时挂多个独立 agent 会话，每个有自己的 context 和模型配置。典型用法：一个会话用 Claude Sonnet 跑主开发，另一个用 GPT-5 跑代码审查，第三个用 DeepSeek 跑文档生成，互不污染上下文。这是 Claude Code（单会话为主，子代理是隔离派发）之外另一种\"并行\"思路。",[5062,38803,38805],{"id":38804},"_75-模型-byok一个-agent-全通吃","75+ 模型 BYOK，一个 Agent 全通吃",[26,38807,38808,38809,38812],{},"OpenCode 最硬的能力是 ",[42,38810,38811],{},"模型中立","。它不绑死任何厂商，通过 provider 配置接入 75+ 模型，包括：",[36,38814,38815,38820,38825,38830,38836,38841],{},[39,38816,38817,38819],{},[42,38818,4209],{},"：Claude Opus 4 \u002F Sonnet 4 \u002F Haiku 4 全系",[39,38821,38822,38824],{},[42,38823,4206],{},"：GPT-5 \u002F GPT-4.1 \u002F o 系列推理模型",[39,38826,38827,38829],{},[42,38828,8605],{},"：Gemini 2.5 Pro \u002F Flash",[39,38831,38832,38835],{},[42,38833,38834],{},"国产","：DeepSeek-V3、Qwen-Max、GLM-5、Kimi K2",[39,38837,38838,38840],{},[42,38839,7717],{},"：Ollama、LM Studio 任何 GGUF 模型",[39,38842,38843,38846],{},[42,38844,38845],{},"中转","：OpenRouter \u002F 火山引擎 \u002F 硅基流动 一个 key 调全部",[26,38848,38849,38850,38853],{},"配置写在 ",[204,38851,38852],{},"opencode.json"," 里，按模型 \u002F 按场景 \u002F 按成本分配：",[197,38855,38857],{"className":957,"code":38856,"language":959,"meta":202,"style":202},"{\n  \"models\": {\n    \"hard\": { \"provider\": \"anthropic\", \"model\": \"claude-sonnet-4\" },\n    \"cheap\": { \"provider\": \"deepseek\", \"model\": \"deepseek-v3\" },\n    \"local\": { \"provider\": \"ollama\", \"model\": \"qwen2.5-coder:32b\" }\n  }\n}\n",[204,38858,38859,38863,38869,38898,38923,38948,38952],{"__ignoreMap":202},[207,38860,38861],{"class":209,"line":210},[207,38862,966],{"class":234},[207,38864,38865,38867],{"class":209,"line":224},[207,38866,22582],{"class":227},[207,38868,974],{"class":234},[207,38870,38871,38874,38877,38880,38882,38885,38887,38890,38892,38895],{"class":209,"line":250},[207,38872,38873],{"class":227},"    \"hard\"",[207,38875,38876],{"class":234},": { ",[207,38878,38879],{"class":227},"\"provider\"",[207,38881,989],{"class":234},[207,38883,38884],{"class":217},"\"anthropic\"",[207,38886,1009],{"class":234},[207,38888,38889],{"class":227},"\"model\"",[207,38891,989],{"class":234},[207,38893,38894],{"class":217},"\"claude-sonnet-4\"",[207,38896,38897],{"class":234}," },\n",[207,38899,38900,38903,38905,38907,38909,38912,38914,38916,38918,38921],{"class":209,"line":257},[207,38901,38902],{"class":227},"    \"cheap\"",[207,38904,38876],{"class":234},[207,38906,38879],{"class":227},[207,38908,989],{"class":234},[207,38910,38911],{"class":217},"\"deepseek\"",[207,38913,1009],{"class":234},[207,38915,38889],{"class":227},[207,38917,989],{"class":234},[207,38919,38920],{"class":217},"\"deepseek-v3\"",[207,38922,38897],{"class":234},[207,38924,38925,38928,38930,38932,38934,38937,38939,38941,38943,38946],{"class":209,"line":264},[207,38926,38927],{"class":227},"    \"local\"",[207,38929,38876],{"class":234},[207,38931,38879],{"class":227},[207,38933,989],{"class":234},[207,38935,38936],{"class":217},"\"ollama\"",[207,38938,1009],{"class":234},[207,38940,38889],{"class":227},[207,38942,989],{"class":234},[207,38944,38945],{"class":217},"\"qwen2.5-coder:32b\"",[207,38947,18581],{"class":234},[207,38949,38950],{"class":209,"line":276},[207,38951,1030],{"class":234},[207,38953,38954],{"class":209,"line":281},[207,38955,1035],{"class":234},[26,38957,38958,38959,38962],{},"之后在 TUI 里用 ",[204,38960,38961],{},"\u002Fmodel hard"," 一键切换。这种\"模型即配置\"的设计，让省钱和跑难活不再冲突——难的活上 Sonnet，简单的活（注释、文档、测试用例）下放给 DeepSeek，单月成本能压到订阅制的零头。",[5062,38964,38966],{"id":38965},"agent-工具链文件操作终端执行mcp","Agent 工具链：文件操作、终端执行、MCP",[26,38968,38969],{},"作为 Agent，OpenCode 内置了完整的工具链：读写文件、执行 shell 命令、跑测试、grep 搜索、git 操作。所有工具调用都在 TUI 里可见可审批，你可以随时打断、回滚。",[26,38971,38972,38973,38975,38976,38978],{},"它同样支持 ",[610,38974,1850],{"href":12453}," 协议——配置 ",[204,38977,33881],{}," 后就能在对话里调数据库、调浏览器、调任意 MCP server。这一点和 Claude Code 是同一套生态，迁移成本低。",[5062,38980,38982],{"id":38981},"开源-自托管","开源 + 自托管",[26,38984,38985,38986,38990],{},"OpenCode 是 ",[610,38987,38989],{"href":37970,"rel":38988},[639],"MIT 协议开源","，TypeScript 全栈，可读可改可自托管。企业担心数据出墙的，可以自建一套：本地 Ollama 模型 + 本地 MCP server + 内网 git，全程不出公司网络。这是闭源的 Claude Code \u002F Cursor 拿不到的优势。",[26,38992,38993],{},"社区活跃度是它的隐形护城河——GitHub 99.8K Star、issue 响应快、第三方插件（LSP 集成、自定义工具、模型 adapter）持续涌现。一个开源 Agent 能跑到这个量级，意味着生态可持续。",[21,38995,5312],{"id":5312},[5062,38997,6151],{"id":6150},[197,38999,39001],{"className":199,"code":39000,"language":201,"meta":202,"style":202},"# macOS \u002F Linux\ncurl -fsSL https:\u002F\u002Fopencode.ai\u002Finstall.sh | bash\n\n# Windows PowerShell\nirm https:\u002F\u002Fopencode.ai\u002Finstall.ps1 | iex\n\n# 或 npm 全局安装（需 Node 18+）\nnpm install -g opencode\n\n# 验证\nopencode --version\n\n# 配置 API key（任选其一）\nexport ANTHROPIC_API_KEY=sk-ant-...\nexport OPENAI_API_KEY=sk-...\nexport OPENROUTER_API_KEY=sk-or-...      # 一个 key 调 75+ 模型\n\n# 进项目启动\ncd your-project\nopencode                          # 进入 TUI\n",[204,39002,39003,39007,39020,39024,39028,39039,39043,39048,39059,39063,39068,39074,39078,39083,39093,39103,39118,39122,39127,39133],{"__ignoreMap":202},[207,39004,39005],{"class":209,"line":210},[207,39006,7507],{"class":260},[207,39008,39009,39011,39013,39016,39018],{"class":209,"line":224},[207,39010,7512],{"class":213},[207,39012,7515],{"class":227},[207,39014,39015],{"class":217}," https:\u002F\u002Fopencode.ai\u002Finstall.sh",[207,39017,7521],{"class":306},[207,39019,7524],{"class":213},[207,39021,39022],{"class":209,"line":250},[207,39023,254],{"emptyLinePlaceholder":253},[207,39025,39026],{"class":209,"line":257},[207,39027,34150],{"class":260},[207,39029,39030,39032,39035,39037],{"class":209,"line":264},[207,39031,7538],{"class":213},[207,39033,39034],{"class":217}," https:\u002F\u002Fopencode.ai\u002Finstall.ps1",[207,39036,7521],{"class":306},[207,39038,7546],{"class":213},[207,39040,39041],{"class":209,"line":276},[207,39042,254],{"emptyLinePlaceholder":253},[207,39044,39045],{"class":209,"line":281},[207,39046,39047],{"class":260},"# 或 npm 全局安装（需 Node 18+）\n",[207,39049,39050,39052,39054,39056],{"class":209,"line":287},[207,39051,1600],{"class":213},[207,39053,241],{"class":217},[207,39055,1605],{"class":227},[207,39057,39058],{"class":217}," opencode\n",[207,39060,39061],{"class":209,"line":321},[207,39062,254],{"emptyLinePlaceholder":253},[207,39064,39065],{"class":209,"line":326},[207,39066,39067],{"class":260},"# 验证\n",[207,39069,39070,39072],{"class":209,"line":332},[207,39071,38765],{"class":213},[207,39073,2847],{"class":227},[207,39075,39076],{"class":209,"line":344},[207,39077,254],{"emptyLinePlaceholder":253},[207,39079,39080],{"class":209,"line":355},[207,39081,39082],{"class":260},"# 配置 API key（任选其一）\n",[207,39084,39085,39087,39089,39091],{"class":209,"line":1669},[207,39086,1641],{"class":306},[207,39088,1644],{"class":234},[207,39090,1647],{"class":306},[207,39092,32909],{"class":234},[207,39094,39095,39097,39099,39101],{"class":209,"line":1675},[207,39096,1641],{"class":306},[207,39098,1657],{"class":234},[207,39100,1647],{"class":306},[207,39102,32921],{"class":234},[207,39104,39105,39107,39110,39112,39115],{"class":209,"line":1681},[207,39106,1641],{"class":306},[207,39108,39109],{"class":234}," OPENROUTER_API_KEY",[207,39111,1647],{"class":306},[207,39113,39114],{"class":234},"sk-or-...      ",[207,39116,39117],{"class":260},"# 一个 key 调 75+ 模型\n",[207,39119,39120],{"class":209,"line":1686},[207,39121,254],{"emptyLinePlaceholder":253},[207,39123,39124],{"class":209,"line":2956},[207,39125,39126],{"class":260},"# 进项目启动\n",[207,39128,39129,39131],{"class":209,"line":2964},[207,39130,228],{"class":227},[207,39132,32889],{"class":217},[207,39134,39135,39137],{"class":209,"line":18436},[207,39136,38765],{"class":213},[207,39138,39139],{"class":260},"                          # 进入 TUI\n",[5062,39141,37336],{"id":37336},[26,39143,39144,39145,39147,39148,39150,39151,39154],{},"实际用下来，OpenCode 的 TUI 体验是开源侧最接近 Claude Code 的。键盘流操作丝滑，diff 实时预览，会话切换比 Claude Code 的 ",[204,39146,33844],{}," 更直观（直接在侧栏点）。多模型切换是杀手锏：跑一个大 refactor 前先 ",[204,39149,38961],{}," 上 Sonnet，跑完切 ",[204,39152,39153],{},"\u002Fmodel cheap"," 让 DeepSeek 补文档，成本可控。",[26,39156,39157,39158,39161],{},"但 ",[42,39159,39160],{},"稳定性是短板","。BYOK 模式下，体验强依赖你接的 API 质量：第三方中转偶尔限流、国产模型长任务容易断、本地模型质量参差。同样一个任务，Claude Code 用官方 API 能稳跑完，OpenCode 接中转可能中途报错重来。社区也承认这一点，正在做重试、断点续跑等加固。",[5062,39163,13314],{"id":13314},[26,39165,39166,39167,39169,39170,39172],{},"第一次配 ",[204,39168,38852],{}," 会有学习成本——provider 字段、base_url、模型映射、工具白名单都要手填。社区有模板可抄，但想用好（比如按场景自动路由模型）还是得读文档。相比之下 Claude Code 的 ",[204,39171,1393],{}," 一键启动确实更省心。",[21,39174,6063],{"id":6063},[26,39176,39177,39178,39180],{},"OpenCode 本身 ",[42,39179,9744],{},"——开源、无订阅、无增值版。你只为你调用的模型 API 付费（BYOK）。这意味着成本完全可控：",[366,39182,39183,39195],{},[369,39184,39185],{},[372,39186,39187,39190,39193],{},[375,39188,39189],{},"接入方式",[375,39191,39192],{},"单月成本估算",[375,39194,33991],{},[390,39196,39197,39208,39219,39230,39241],{},[372,39198,39199,39202,39205],{},[395,39200,39201],{},"DeepSeek-V3（国产）",[395,39203,39204],{},"¥20-100",[395,39206,39207],{},"日常编码，性价比之王",[372,39209,39210,39213,39216],{},[395,39211,39212],{},"Claude Sonnet 4（直连）",[395,39214,39215],{},"$50-300",[395,39217,39218],{},"跑难活，最接近 Claude Code 体验",[372,39220,39221,39224,39227],{},[395,39222,39223],{},"OpenRouter 中转",[395,39225,39226],{},"$10-100",[395,39228,39229],{},"一个 key 切多模型",[372,39231,39232,39235,39238],{},[395,39233,39234],{},"本地 Ollama",[395,39236,39237],{},"¥0（电费）",[395,39239,39240],{},"隐私 \u002F 离线 \u002F 实验",[372,39242,39243,39246,39249],{},[395,39244,39245],{},"GPT-5（直连）",[395,39247,39248],{},"$30-200",[395,39250,39251],{},"代码审查、推理任务",[26,39253,39254],{},"对比 Claude Code Max $200\u002F月：用 OpenCode + DeepSeek，同样强度的编码量，单月可能只要 ¥50。这就是开源 + BYOK 的红利——你为用量付费，不为订阅定额买单。",[26,39256,39257,39258,39261],{},"但要注意 ",[42,39259,39260],{},"隐性成本","：多模型配置的时间、调试中转稳定性的精力、偶尔重跑任务的 token 浪费。对这些\"折腾税\"敏感的，订阅制反而更省心。",[21,39263,33991],{"id":33991},[36,39265,39266,39272,39278,39284,39290],{},[39,39267,39268,39271],{},[42,39269,39270],{},"预算敏感的个人开发者","：想用 Agent 但不想每月 $20+，OpenCode + DeepSeek 是最经济解",[39,39273,39274,39277],{},[42,39275,39276],{},"模型自由爱好者","：想同时对比 Claude \u002F GPT \u002F DeepSeek \u002F 本地模型在同一个 Agent 里的表现",[39,39279,39280,39283],{},[42,39281,39282],{},"Vim \u002F Neovim \u002F tmux 重度用户","：终端原生 TUI，不破坏既有工作流",[39,39285,39286,39289],{},[42,39287,39288],{},"需要自托管 \u002F 隐私的团队","：MIT 开源 + 本地模型，数据不出内网",[39,39291,39292,39295],{},[42,39293,39294],{},"Claude Code 想找平替","：交互逻辑接近，迁移成本低，省下订阅费",[21,39297,37482],{"id":37482},[36,39299,39300,39309,39315,39320,39326],{},[39,39301,39302,39305,39306,39308],{},[42,39303,39304],{},"零配置开箱即用","：多模型路由要折腾 ",[204,39307,38852],{},"，新手劝退",[39,39310,39311,39314],{},[42,39312,39313],{},"企业级稳定性 SLA","：开源项目无承诺，中转 \u002F 国产模型偶发抖动",[39,39316,39317,39319],{},[42,39318,37507],{},"：OpenCode 是 Agent 不是补全器，要 Tab 补全去 Cursor \u002F Copilot",[39,39321,39322,39325],{},[42,39323,39324],{},"纯 Windows 原生","：TUI 在 Windows Terminal 可用，但部分功能建议 WSL",[39,39327,39328,39331],{},[42,39329,39330],{},"不碰终端的用户","：这是 CLI 工具，全程命令行交互",[21,39333,6239],{"id":6239},[366,39335,39336,39356],{},[369,39337,39338],{},[372,39339,39340,39342,39344,39348,39352],{},[375,39341,377],{},[375,39343,37536],{},[375,39345,39346],{},[610,39347,1790],{"href":13587},[375,39349,39350],{},[610,39351,1796],{"href":33105},[375,39353,39354],{},[610,39355,1793],{"href":22383},[390,39357,39358,39370,39383,39398,39410,39423,39435,39447,39459,39472],{},[372,39359,39360,39362,39364,39366,39368],{},[395,39361,2367],{},[395,39363,37555],{},[395,39365,2370],{},[395,39367,2370],{},[395,39369,2370],{},[372,39371,39372,39374,39376,39378,39380],{},[395,39373,414],{},[395,39375,423],{},[395,39377,426],{},[395,39379,1100],{},[395,39381,39382],{},"✅ Apache",[372,39384,39385,39387,39390,39393,39396],{},[395,39386,38744],{},[395,39388,39389],{},"★★★★★ 75+",[395,39391,39392],{},"★☆☆☆☆ 仅 Claude",[395,39394,39395],{},"★★★★☆ OpenAI 系",[395,39397,6315],{},[372,39399,39400,39402,39404,39406,39408],{},[395,39401,34316],{},[395,39403,5579],{},[395,39405,6315],{},[395,39407,5579],{},[395,39409,5585],{},[372,39411,39412,39415,39417,39419,39421],{},[395,39413,39414],{},"TUI 体验",[395,39416,6315],{},[395,39418,5579],{},[395,39420,5585],{},[395,39422,5585],{},[372,39424,39425,39427,39429,39431,39433],{},[395,39426,38800],{},[395,39428,1100],{},[395,39430,33638],{},[395,39432,5544],{},[395,39434,426],{},[372,39436,39437,39439,39441,39443,39445],{},[395,39438,1436],{},[395,39440,5579],{},[395,39442,6315],{},[395,39444,5585],{},[395,39446,426],{},[372,39448,39449,39451,39453,39455,39457],{},[395,39450,108],{},[395,39452,37654],{},[395,39454,34411],{},[395,39456,34411],{},[395,39458,37654],{},[372,39460,39461,39463,39466,39468,39470],{},[395,39462,34393],{},[395,39464,39465],{},"低（国产模型）",[395,39467,2461],{},[395,39469,2461],{},[395,39471,10650],{},[372,39473,39474,39476,39479,39481,39483],{},[395,39475,2455],{},[395,39477,39478],{},"★★★☆☆ 依赖 API",[395,39480,5579],{},[395,39482,5579],{},[395,39484,5579],{},[26,39486,39487,5072],{},[42,39488,39489],{},"选 OpenCode 如果你",[36,39491,39492,39495,39498,39501],{},[39,39493,39494],{},"想用 Claude Code 的体验但不想付订阅",[39,39496,39497],{},"需要在多个模型间灵活切换（省钱 \u002F 跑难活 \u002F 隐私）",[39,39499,39500],{},"是 Vim \u002F 终端重度用户，不想装 IDE",[39,39502,39503],{},"团队要自托管，数据不出墙",[26,39505,39506,5072],{},[42,39507,39508],{},"别选 OpenCode 如果你",[36,39510,39511,39514,39522],{},[39,39512,39513],{},"要开箱即用、零配置（去 Claude Code \u002F Cursor）",[39,39515,39516,39517,6035,39519,2337],{},"要 IDE 内 inline 补全（去 ",[610,39518,1058],{"href":5867},[610,39520,39521],{"href":34461},"Copilot",[39,39523,39524],{},"企业要求稳定 SLA（开源 + BYOK 抖动难避免）",[21,39526,2552],{"id":2551},[26,39528,39529,39532],{},[42,39530,39531],{},"Q：OpenCode 真的完全免费吗？","\nA：工具本身免费开源（MIT）。但调模型 API 要花钱——除非你只用本地 Ollama 模型。所谓\"免费\"指的是不收订阅费，BYOK 模式下你为 token 买单。",[26,39534,39535,39538,39539,39541],{},[42,39536,39537],{},"Q：和 Claude Code 比，差在哪？","\nA：长任务稳定性、上下文管理（Claude Code 的 ",[204,39540,33754],{}," 更成熟）、官方模型深度调优。OpenCode 胜在模型自由和免费。简单说：要稳选 Claude Code，要省和自由选 OpenCode。",[26,39543,39544,39547],{},[42,39545,39546],{},"Q：国内怎么用最省心？","\nA：用 OpenRouter 一个 key 调全部模型（支持支付宝），或直接接 DeepSeek \u002F Qwen 国产模型。网络压力小，成本最低。",[26,39549,39550,39553],{},[42,39551,39552],{},"Q：能接本地模型吗？","\nA：能。Ollama \u002F LM Studio 跑 GGUF 模型，OpenCode 通过 OpenAI 兼容接口接入。完全离线可用，适合隐私场景。",[26,39555,39556,39559],{},[42,39557,39558],{},"Q：OpenCode 和 Aider 都是开源 CLI，区别？","\nA：Aider 更老牌、更轻量，专注\"每改即 commit\"的 git 流；OpenCode 更现代，TUI 体验和多会话并行更强，模型生态更广。要轻量选 Aider，要体验选 OpenCode。",[26,39561,39562,39565],{},[42,39563,39564],{},"Q：会取代 Claude Code 吗？","\nA：对预算敏感、爱折腾的用户，是的。对要稳定 + 长任务 + 不差钱的，Claude Code 仍是最优解。两者更像互补——OpenCode 日常省钱，Claude Code 跑关键大活。",[21,39567,604],{"id":604},[36,39569,39570,39581,39592,39604],{},[39,39571,6576,39572,6035,39574,6035,39576,6035,39578],{},[610,39573,1790],{"href":13587},[610,39575,1796],{"href":33105},[610,39577,1793],{"href":22383},[610,39579,35996],{"href":39580},"\u002Fcoding\u002Fcli\u002Fgemini-cli.html",[39,39582,6587,39583,6035,39585,6035,39587,6035,39590],{},[610,39584,6591],{"href":6590},[610,39586,1850],{"href":12453},[610,39588,22729],{"href":39589},"\u002Fwiki\u002Fbyok.html",[610,39591,6617],{"href":6616},[39,39593,6598,39594,6035,39596,6035,39598,6035,39600],{},[610,39595,6602],{"href":6601},[610,39597,13157],{"href":13156},[610,39599,9416],{"href":11649},[610,39601,39603],{"href":39602},"\u002Fmodels\u002Fqwen-max.html","Qwen-Max",[39,39605,6613,39606,6035,39608],{},[610,39607,34604],{"href":34603},[610,39609,6621],{"href":6620},[21,39611,628],{"id":628},[36,39613,39614,39620,39626,39631,39638],{},[39,39615,6628,39616],{},[610,39617,39618],{"href":39618,"rel":39619},"https:\u002F\u002Fopencode.ai",[639],[39,39621,11680,39622],{},[610,39623,39624],{"href":39624,"rel":39625},"https:\u002F\u002Fopencode.ai\u002Fdocs",[639],[39,39627,13190,39628],{},[610,39629,37970],{"href":37970,"rel":39630},[639],[39,39632,39633,39634],{},"模型支持：",[610,39635,39636],{"href":39636,"rel":39637},"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fmodels",[639],[39,39639,39640,39641],{},"对比文档：",[610,39642,39643],{"href":39643,"rel":39644},"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fcomparisons\u002Fclaude-code",[639],[26,39646,14253,39647,6648],{},[610,39648,6647],{"href":6646},[662,39650,34650],{},{"title":202,"searchDepth":250,"depth":250,"links":39652},[39653,39654,39660,39665,39666,39667,39668,39669,39670,39671],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34,"children":39655},[39656,39657,39658,39659],{"id":38758,"depth":250,"text":38759},{"id":38804,"depth":250,"text":38805},{"id":38965,"depth":250,"text":38966},{"id":38981,"depth":250,"text":38982},{"id":5312,"depth":224,"text":5312,"children":39661},[39662,39663,39664],{"id":6150,"depth":250,"text":6151},{"id":37336,"depth":250,"text":37336},{"id":13314,"depth":250,"text":13314},{"id":6063,"depth":224,"text":6063},{"id":33991,"depth":224,"text":33991},{"id":37482,"depth":224,"text":37482},{"id":6239,"depth":224,"text":6239},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopencode.webp","OpenCode 2026 真实评测：SST 团队开源的终端 AI 编程 Agent，TypeScript 开发，GitHub 99.8K Star。本文整理 TUI 界面、多会话并行、75+ 模型 BYOK 切换、安装使用、价格、与 Claude Code \u002F Aider \u002F Codex CLI 的区别，以及国内使用门槛。",[697],{},[5711,5712,39677,11718,6675,39678],"gemini-2.5-pro","75+ 模型",[39680,39681,39682,39683],"希望开箱即用、零配置的用户（多模型路由要折腾）","要求企业级稳定性 SLA 的团队（开源项目无承诺）","需要 IDE 内 inline 补全体验（用 Cursor \u002F Copilot）","完全不熟悉 API key \u002F 终端操作的新手","\u002Ftools\u002Fcoding\u002Fcli\u002Fopencode",[1348,1350,1349],[39687,39689,39692],{"plan":39688,"price":12512,"limit":37853,"cn_pay":38688,"note":33143},"开源版（BYOK）",{"plan":2425,"price":12512,"limit":39690,"cn_pay":37862,"note":39691},"Ollama \u002F LM Studio 本地跑","适合离线 \u002F 隐私场景",{"plan":39223,"price":19697,"limit":39693,"cn_pay":39694,"note":39695},"一个 key 调用 75+ 模型","✅ 支持支付宝","国内最省心的接入方式","完全免费（BYOK）",{"power":257,"ux":257,"price":264,"cn_support":250,"stability":250},{"title":37536,"description":39673},"OpenCode 评测 2026：开源 AI Coding Agent，Claude Code 免费平替，75+ 模型任意切换",[39701,39703,39705,39707,39709],{"title":39702,"url":39618},"OpenCode 官网",{"title":39704,"url":39624},"OpenCode 官方文档",{"title":39706,"url":37970},"GitHub sst\u002Fopencode",{"title":39708,"url":39636},"OpenCode 模型支持列表",{"title":39710,"url":39643},"OpenCode vs Claude Code 对比","tools\u002Fcoding\u002Fcli\u002Fopencode",[39713,39714,39715,39716,39717],"想用 Claude Code 体验但不想付费订阅的开发者","需要在不同模型间灵活切换（省钱 \u002F 跑难活 \u002F 隐私）","JetBrains \u002F Vim \u002F Neovim 用户，不想换编辑器","想自托管、私有部署 AI 编程 Agent 的团队","本地模型爱好者（Ollama \u002F LM Studio 接入）","开源 AI Coding Agent，Claude Code 免费平替，支持 75+ 模型",[22301,700,34725,745,22956,2153],"Claude Code 的最佳免费替代。完全开源、75+ 模型任意切换、终端原生 TUI，社区活跃度 GitHub 99.8K Star。缺点是多模型配置门槛高、稳定性依赖 BYOK 的 API 质量。","tgkfC7asWLHQk82Kfi6dYyWdIh-xmydi4E__gt7xDdM",{"id":39723,"title":37749,"alternatives":39724,"api_compatible":39725,"body":39727,"category":22301,"chinese_friendly":264,"cover":40455,"description":40456,"domestic":253,"extension":681,"faq":16,"free":253,"github":40418,"languages":40457,"lastVerified":16,"meta":40458,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":40459,"pillar":22297,"platforms":40460,"priceTable":40461,"pricing":40481,"published":40482,"relatedPlaybooks":16,"relatedReviews":16,"score":40483,"self_host":680,"seo":40484,"seoTitle":40485,"slug":40486,"sources":40487,"stem":40498,"suitable":16,"tagline":40499,"tags":40500,"updated":40482,"verdict":40503,"website":40418,"__hash__":40504},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fqwen-code.md",[23472,1403,1404,1405],[5028,1395,39726],"google-genai",{"type":18,"value":39728,"toc":40437},[39729,39731,39767,39772,39774,39778,39781,39785,39842,39845,39855,39874,39879,39882,39886,39972,39976,39982,40002,40005,40027,40064,40066,40098,40100,40225,40230,40247,40252,40270,40272,40341,40343,40345,40361,40363,40377,40379,40410,40412,40430,40435],[21,39730,24],{"id":23},[5783,39732,39734,39756],{"className":39733},[5786,5787,5788],[26,39735,39736,39738,39739,39742,39743,5379,39745,39747,39748,39750,39751,39755],{},[42,39737,5793],{}," 阿里开源的",[42,39740,39741],{},"终端 AI 编码 agent","，和 ",[610,39744,1790],{"href":13587},[610,39746,35996],{"href":39580}," 同一类——在终端里读文件、跑命令、循环改代码。它从 Google ",[610,39749,35996],{"href":39580}," v0.8.2 fork 而来，针对 ",[610,39752,39754],{"href":39753},"\u002Fmodels\u002Fqwen3-coder.html","Qwen3-Coder"," 模型做了 parser 和 function-calling 调优。",[26,39757,39758,39759,39762,39763,39766],{},"npm 包名 ",[204,39760,39761],{},"@qwen-code\u002Fqwen-code","，命令行入口是 ",[204,39764,39765],{},"qwen","。最大优势对国内开发者：开源免费 + ModelScope 每天 2000 次免费额度 + 中文友好。",[130,39768,39769],{},[26,39770,39771],{},"来源说明：本文基于 GitHub（QwenLM\u002Fqwen-code）、npm 官方页、以及 morphllm \u002F a2a-mcp 等资料整理。该项目迭代快、鉴权方式有过重大调整，请以最新官方 README 为准。",[21,39773,5893],{"id":5893},[5062,39775,39777],{"id":39776},"与-gemini-cli-的血缘","与 Gemini CLI 的血缘",[26,39779,39780],{},"Qwen Code 基于 Gemini CLI v0.8.2 fork，从 v0.1 起停止与上游同步、独立开发。所以二者共享祖先（终端 UI + agent 循环），但如今各走各路——Qwen Code 的新功能不来自 Gemini CLI，反之亦然。",[5062,39782,39784],{"id":39783},"agentic-能力","Agentic 能力",[36,39786,39787,39793,39799,39805,39811,39817,39834],{},[39,39788,39789,39792],{},[42,39790,39791],{},"代码理解与编辑","：查询和编辑超出传统上下文窗口的大型 codebase",[39,39794,39795,39798],{},[42,39796,39797],{},"工作流自动化","：处理 PR、复杂 rebase 等运维型任务",[39,39800,39801,39804],{},[42,39802,39803],{},"增强 parser","：专为 Qwen-Coder 模型优化的解析器",[39,39806,39807,39810],{},[42,39808,39809],{},"视觉模型支持","：自动检测输入里的图片，切换到视觉模型做多模态分析",[39,39812,39813,39816],{},[42,39814,39815],{},"SubAgents \u002F Agent Teams","：分层 agent——主 agent 把聚焦子任务委派给专门 subagent 再汇总",[39,39818,39819,5072,39822,5379,39825,5379,39827,5379,39830,39833],{},[42,39820,39821],{},"内置 skills",[204,39823,39824],{},"\u002Freview",[204,39826,34355],{},[204,39828,39829],{},"\u002Floop",[204,39831,39832],{},"\u002Fbugfix"," 等命令",[39,39835,39836,39841],{},[42,39837,39838,39840],{},[610,39839,1850],{"href":12453}," 支持","：连外部工具和数据",[5062,39843,39844],{"id":39844},"上下文与会话管理",[26,39846,39847,39848,39851,39852,11000],{},"针对 token 消耗提供会话级控制（在 ",[204,39849,39850],{},"~\u002F.qwen\u002Fsettings.json"," 配 ",[204,39853,39854],{},"sessionTokenLimit",[36,39856,39857,39863,39868],{},[39,39858,39859,39862],{},[204,39860,39861],{},"\u002Fcompress","：压缩对话历史，在 token 上限内继续",[39,39864,39865,39867],{},[204,39866,33741],{},"：清空历史重新开始",[39,39869,39870,39873],{},[204,39871,39872],{},"\u002Fstats","：查看当前 token 使用和上限",[26,39875,39876,39878],{},[610,39877,39754],{"href":39753}," 原生 256K 上下文，可外推到约 1M。",[21,39880,39881],{"id":39881},"安装与鉴权",[5062,39883,39885],{"id":39884},"安装需-nodejs-20npm-官方写-22","安装（需 Node.js 20+，npm 官方写 22+）",[197,39887,39889],{"className":199,"code":39888,"language":201,"meta":202,"style":202},"# npm 全局安装（最通用）\nnpm install -g @qwen-code\u002Fqwen-code@latest\nqwen --version\n\n# Homebrew（macOS \u002F Linux）\nbrew install qwen-code\n\n# 从源码\ngit clone https:\u002F\u002Fgithub.com\u002FQwenLM\u002Fqwen-code.git\ncd qwen-code && npm install && npm install -g .\n",[204,39890,39891,39896,39907,39913,39917,39922,39931,39935,39940,39949],{"__ignoreMap":202},[207,39892,39893],{"class":209,"line":210},[207,39894,39895],{"class":260},"# npm 全局安装（最通用）\n",[207,39897,39898,39900,39902,39904],{"class":209,"line":224},[207,39899,1600],{"class":213},[207,39901,241],{"class":217},[207,39903,1605],{"class":227},[207,39905,39906],{"class":217}," @qwen-code\u002Fqwen-code@latest\n",[207,39908,39909,39911],{"class":209,"line":250},[207,39910,39765],{"class":213},[207,39912,2847],{"class":227},[207,39914,39915],{"class":209,"line":257},[207,39916,254],{"emptyLinePlaceholder":253},[207,39918,39919],{"class":209,"line":264},[207,39920,39921],{"class":260},"# Homebrew（macOS \u002F Linux）\n",[207,39923,39924,39926,39928],{"class":209,"line":276},[207,39925,1581],{"class":213},[207,39927,241],{"class":217},[207,39929,39930],{"class":217}," qwen-code\n",[207,39932,39933],{"class":209,"line":281},[207,39934,254],{"emptyLinePlaceholder":253},[207,39936,39937],{"class":209,"line":287},[207,39938,39939],{"class":260},"# 从源码\n",[207,39941,39942,39944,39946],{"class":209,"line":321},[207,39943,214],{"class":213},[207,39945,218],{"class":217},[207,39947,39948],{"class":217}," https:\u002F\u002Fgithub.com\u002FQwenLM\u002Fqwen-code.git\n",[207,39950,39951,39953,39956,39958,39960,39962,39964,39966,39968,39970],{"class":209,"line":326},[207,39952,228],{"class":227},[207,39954,39955],{"class":217}," qwen-code",[207,39957,235],{"class":234},[207,39959,1600],{"class":213},[207,39961,241],{"class":217},[207,39963,235],{"class":234},[207,39965,1600],{"class":213},[207,39967,241],{"class":217},[207,39969,1605],{"class":227},[207,39971,23860],{"class":217},[5062,39973,39975],{"id":39974},"鉴权️-2026-04-15-后免费-oauth-已停用","鉴权（⚠️ 2026-04-15 后免费 OAuth 已停用）",[26,39977,39978,39981],{},[42,39979,39980],{},"重要变更","：Qwen OAuth 已于 2026 年 4 月 15 日停用。现在必须用以下方式之一：",[630,39983,39984,39996],{},[39,39985,39986,39989,39990,39995],{},[42,39987,39988],{},"API Key（推荐）","：阿里云百炼 Model Studio（",[610,39991,39994],{"href":39992,"rel":39993},"https:\u002F\u002Fbailian.console.aliyun.com\u002F",[639],"北京"," \u002F 国际站）申请，或任何 OpenAI \u002F Anthropic \u002F Google GenAI 兼容端点",[39,39997,39998,40001],{},[42,39999,40000],{},"阿里云 Coding Plan","：固定月费，配额更高",[26,40003,40004],{},"国内 \u002F 国际免费额度：",[36,40006,40007,40017],{},[39,40008,40009,40012,40013,40016],{},[42,40010,40011],{},"ModelScope（国内）","：每天 ",[42,40014,40015],{},"2000 次","免费 API 调用",[39,40018,40019,40022,40023,40026],{},[42,40020,40021],{},"OpenRouter（国际）","：每天最多 ",[42,40024,40025],{},"1000 次","免费调用",[197,40028,40030],{"className":199,"code":40029,"language":201,"meta":202,"style":202},"cd your-project\nqwen\n# 进入交互界面后：\n\u002Fauth     # 配置 provider \u002F API Key\n\u002Fhelp     # 查看命令\n",[204,40031,40032,40038,40043,40048,40056],{"__ignoreMap":202},[207,40033,40034,40036],{"class":209,"line":210},[207,40035,228],{"class":227},[207,40037,32889],{"class":217},[207,40039,40040],{"class":209,"line":224},[207,40041,40042],{"class":213},"qwen\n",[207,40044,40045],{"class":209,"line":250},[207,40046,40047],{"class":260},"# 进入交互界面后：\n",[207,40049,40050,40053],{"class":209,"line":257},[207,40051,40052],{"class":213},"\u002Fauth",[207,40054,40055],{"class":260},"     # 配置 provider \u002F API Key\n",[207,40057,40058,40061],{"class":209,"line":264},[207,40059,40060],{"class":213},"\u002Fhelp",[207,40062,40063],{"class":260},"     # 查看命令\n",[21,40065,6197],{"id":6197},[630,40067,40068,40074,40080,40086],{},[39,40069,40070,40073],{},[42,40071,40072],{},"中文友好度高","：阿里出品，文档和模型对中文场景优化好，是国内终端 agent 的少数优选",[39,40075,40076,40079],{},[42,40077,40078],{},"免费额度香","：ModelScope 每天 2000 次足够个人日常用，且支付宝\u002F微信付费无门槛",[39,40081,40082,40085],{},[42,40083,40084],{},"不需要代理","：用国内 ModelScope \u002F 百炼端点时全程国内网络可达",[39,40087,40088,40091,40092,40095,40096],{},[42,40089,40090],{},"替代\u002F搭配","：要更强模型可接 ",[610,40093,27023],{"href":40094},"\u002Fcoding\u002Fapi\u002Fopenrouter.html"," 转发；纯开源洁癖可看 ",[610,40097,1793],{"href":22383},[21,40099,6239],{"id":6239},[366,40101,40102,40122],{},[369,40103,40104],{},[372,40105,40106,40108,40110,40114,40118],{},[375,40107,377],{},[375,40109,37749],{},[375,40111,40112],{},[610,40113,35996],{"href":39580},[375,40115,40116],{},[610,40117,1790],{"href":13587},[375,40119,40120],{},[610,40121,1793],{"href":22383},[390,40123,40124,40140,40157,40171,40185,40199,40211],{},[372,40125,40126,40129,40132,40135,40137],{},[395,40127,40128],{},"出身",[395,40130,40131],{},"Gemini CLI fork",[395,40133,40134],{},"Google 原生",[395,40136,4209],{},[395,40138,40139],{},"独立开源",[372,40141,40142,40145,40149,40152,40154],{},[395,40143,40144],{},"主打模型",[395,40146,40147],{},[610,40148,39754],{"href":39753},[395,40150,40151],{},"Gemini",[395,40153,4141],{},[395,40155,40156],{},"任意 API",[372,40158,40159,40161,40164,40166,40169],{},[395,40160,414],{},[395,40162,40163],{},"★★★★★ Apache",[395,40165,5579],{},[395,40167,40168],{},"✗",[395,40170,40163],{},[372,40172,40173,40176,40179,40181,40183],{},[395,40174,40175],{},"国内可用性",[395,40177,40178],{},"★★★★★ 无门槛",[395,40180,5585],{},[395,40182,5585],{},[395,40184,5579],{},[372,40186,40187,40189,40192,40194,40196],{},[395,40188,9735],{},[395,40190,40191],{},"★★★★★ 每天 2000 次",[395,40193,5579],{},[395,40195,5593],{},[395,40197,40198],{},"按 API 付",[372,40200,40201,40203,40205,40207,40209],{},[395,40202,16470],{},[395,40204,6315],{},[395,40206,5579],{},[395,40208,5579],{},[395,40210,5585],{},[372,40212,40213,40216,40219,40221,40223],{},[395,40214,40215],{},"模型自由度",[395,40217,40218],{},"★★★★☆ 兼容多家",[395,40220,5585],{},[395,40222,5585],{},[395,40224,6315],{},[26,40226,40227,5072],{},[42,40228,40229],{},"选 Qwen Code 如果你",[36,40231,40232,40235,40241,40244],{},[39,40233,40234],{},"国内开发者、想要免门槛 + 中文友好的终端 agent",[39,40236,40237,40238,40240],{},"想用 ",[610,40239,39754],{"href":39753}," 或免费额度跑日常编码",[39,40242,40243],{},"喜欢 Gemini CLI 那套交互、但要更好的国内可用性",[39,40245,40246],{},"要开源、可接任意 OpenAI 兼容端点",[26,40248,40249,5072],{},[42,40250,40251],{},"别选 Qwen Code 如果你",[36,40253,40254,40262,40267],{},[39,40255,40256,40257,6035,40259,2337],{},"重度依赖 Claude \u002F GPT 的特定能力（去 ",[610,40258,1790],{"href":13587},[610,40260,40261],{"href":33105},"Codex",[39,40263,40264,40265,2337],{},"想要最极简、模型完全自选的工具（",[610,40266,1793],{"href":22383},[39,40268,40269],{},"介意 token 消耗偏高",[21,40271,6457],{"id":6457},[36,40273,40274,40283,40297,40302,40322,40328],{},[39,40275,40276,40279,40280,40282],{},[42,40277,40278],{},"免费 OAuth 已死","：2026-04-15 起 Qwen OAuth 停用。老用户升级后会登录失败，必须 ",[204,40281,40052],{}," 重新配 API Key（ModelScope \u002F 百炼 \u002F OpenRouter 等）。",[39,40284,40285,40288,40289,40291,40292,10831,40294,40296],{},[42,40286,40287],{},"token 消耗偏高","：官方明确提示——Qwen Code 每轮可能发多次 API 调用，token 用量和 ",[610,40290,1790],{"href":13587}," 类似偏高。用 ",[204,40293,39854],{},[204,40295,39861],{}," 控制成本，否则免费额度掉得快。",[39,40298,40299,40301],{},[42,40300,3204],{},"：GitHub 写 20+，npm 写 22+，遇到诡异报错先升到 Node 22 LTS。",[39,40303,40304,40307,40308,40310,40311,40313,40314,40317,40318,40321],{},[42,40305,40306],{},"认准官方包","：官方是 npm 的 ",[204,40309,39761],{},"（binary ",[204,40312,39765],{},"）和 GitHub ",[204,40315,40316],{},"QwenLM\u002Fqwen-code","。网上有同名第三方仓库\u002F教程（如 ",[204,40319,40320],{},"pip install qwen-code-cli","）并非官方，别装错。",[39,40323,40324,40327],{},[42,40325,40326],{},"和 Gemini CLI 不再同步","：别指望 Gemini CLI 的新功能会出现在 Qwen Code 里，二者已分家独立演进。",[39,40329,40330,40333,40334,40337,40338,5819],{},[42,40331,40332],{},"视觉切换弹窗","：默认开启图片自动切视觉模型，每次会弹确认框；嫌烦在 ",[204,40335,40336],{},"settings.json"," 设 ",[204,40339,40340],{},"vlmSwitchMode",[21,40342,575],{"id":574},[26,40344,6528],{},[36,40346,40347,40350,40353,40358],{},[39,40348,40349],{},"国内开发者要免门槛、中文友好的终端 agent",[39,40351,40352],{},"想白嫖 ModelScope 每天 2000 次免费额度",[39,40354,40355,40357],{},[610,40356,39754],{"href":39753}," 用户",[39,40359,40360],{},"喜欢 Gemini CLI 交互但要更好国内体验",[26,40362,6548],{},[36,40364,40365,40368,40371],{},[39,40366,40367],{},"强依赖 Claude \u002F GPT 特定能力",[39,40369,40370],{},"极度在意 token 成本（消耗偏高）",[39,40372,40373,40374,40376],{},"想要模型完全自选的极简工具（",[610,40375,1793],{"href":22383}," 更纯）",[21,40378,604],{"id":604},[36,40380,40381,40391,40395,40405],{},[39,40382,6576,40383,6035,40385,6035,40387,6035,40389],{},[610,40384,35996],{"href":39580},[610,40386,1790],{"href":13587},[610,40388,1793],{"href":22383},[610,40390,40261],{"href":33105},[39,40392,6598,40393],{},[610,40394,39754],{"href":39753},[39,40396,6587,40397,6035,40399,6035,40401],{},[610,40398,6591],{"href":6590},[610,40400,1850],{"href":12453},[610,40402,40404],{"href":40403},"\u002Fwiki\u002Fcontext-rot.html","Context Rot",[39,40406,40407,40408],{},"API 转发：",[610,40409,27023],{"href":40094},[21,40411,628],{"id":628},[36,40413,40414,40420,40427],{},[39,40415,13190,40416],{},[610,40417,40418],{"href":40418,"rel":40419},"https:\u002F\u002Fgithub.com\u002FQwenLM\u002Fqwen-code",[639],[39,40421,40422,40423],{},"npm：",[610,40424,40425],{"href":40425,"rel":40426},"https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002F@qwen-code\u002Fqwen-code",[639],[39,40428,40429],{},"资料：morphllm.com \u002F a2a-mcp.org",[26,40431,40432,40433,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料整理。所有事实点均标注来源；如发现安装命令 \u002F 鉴权方式 \u002F 免费额度与最新官方信息不一致，请通过 ",[610,40434,6647],{"href":6646},[662,40436,3314],{},{"title":202,"searchDepth":250,"depth":250,"links":40438},[40439,40440,40445,40449,40450,40451,40452,40453,40454],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":40441},[40442,40443,40444],{"id":39776,"depth":250,"text":39777},{"id":39783,"depth":250,"text":39784},{"id":39844,"depth":250,"text":39844},{"id":39881,"depth":224,"text":39881,"children":40446},[40447,40448],{"id":39884,"depth":250,"text":39885},{"id":39974,"depth":250,"text":39975},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fqwen-code.webp","Qwen Code 真实评测：阿里开源的终端 AI 编码 agent，从 Gemini CLI fork 而来、专为 Qwen3-Coder 调优。AIHO 编辑部基于官方 npm\u002FGitHub 与多份资料整理，含安装、鉴权变更、国内免费额度、与 Claude Code\u002FGemini CLI 对比及避坑。",[696,697],{},"\u002Ftools\u002Fcoding\u002Fcli\u002Fqwen-code",[1349,1348,1350],[40462,40466,40469,40473,40477],{"plan":40463,"price":707,"limit":40464,"cn_pay":5724,"note":40465},"工具本体","开源（Apache），自己跑","费用全在模型 API",{"plan":40011,"price":9735,"limit":40467,"cn_pay":37854,"note":40468},"每天 2000 次 API 调用","国内开发者首选",{"plan":40021,"price":9735,"limit":40470,"cn_pay":40471,"note":40472},"每天最多 1000 次调用","⚠️ 海外卡","全球可用",{"plan":40474,"price":36581,"limit":40475,"cn_pay":1100,"note":40476},"阿里云百炼 API Key","Qwen3-Coder 等模型","官方推荐，稳定",{"plan":40000,"price":40478,"limit":40479,"cn_pay":1100,"note":40480},"固定月费","更高配额","重度使用","工具开源免费；模型按 API 计费。国内 ModelScope 每天 2000 次免费 \u002F 国际 OpenRouter 每天 1000 次免费","2026-06-28",{"power":257,"ux":257,"price":264,"cn_support":264,"stability":257},{"title":37749,"description":40456},"Qwen Code 评测 2026：阿里通义灵码 CLI，国产 AI 编程助手","coding\u002Fcli\u002Fqwen-code",[40488,40490,40492,40495],{"title":40489,"url":40418},"Qwen Code GitHub (QwenLM\u002Fqwen-code)",{"title":40491,"url":40425},"@qwen-code\u002Fqwen-code npm",{"title":40493,"url":40494},"Qwen CLI 解析 (morphllm)","https:\u002F\u002Fwww.morphllm.com\u002Fqwen-cli",{"title":40496,"url":40497},"Qwen Code CLI 安装指南 (a2a-mcp.org)","https:\u002F\u002Fa2a-mcp.org\u002Fblog\u002Fqwen-cli-install","tools\u002Fcoding\u002Fcli\u002Fqwen-code","阿里开源的终端 AI 编码 agent，专调 Qwen3-Coder",[22301,34725,700,39765,40501,40502],"open-source","gemini-cli-fork","国内开发者的终端 agent 首选之一：开源免费、ModelScope 每天 2000 次免费额度、对 Qwen3-Coder 调优。从 Gemini CLI fork 而来体验成熟。坑：2026-04-15 砍了免费 OAuth，现在必须配 API Key；token 消耗偏高（同 Claude Code）。","FEefeMiOiby9MMT3vZGtv-AbemJRcvYrCa_n-Odth7Q",{"id":40506,"title":22379,"alternatives":40507,"api_compatible":16,"body":40508,"category":22301,"chinese_friendly":250,"cover":41036,"description":41037,"domestic":680,"extension":681,"faq":41038,"free":680,"github":16,"languages":41051,"lastVerified":16,"meta":41052,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":22859,"pillar":22297,"platforms":41053,"priceTable":41054,"pricing":41068,"published":720,"relatedPlaybooks":41069,"relatedReviews":16,"score":41071,"self_host":253,"seo":41072,"seoTitle":41073,"slug":22344,"sources":41074,"stem":41085,"suitable":16,"tagline":41086,"tags":41087,"updated":732,"verdict":41090,"website":41091,"__hash__":41092},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Froo-code.md",[22343,22941,22963,20457],{"type":18,"value":40509,"toc":41024},[40510,40512,40515,40518,40520,40586,40588,40611,40616,40620,40624,40647,40651,40674,40676,40705,40707,40880,40882,40933,40935,40964,40966,40987,40989],[21,40511,24],{"id":23},[26,40513,40514],{},"Roo Code 是 Cline 早期 fork 出来走 power-user 路线的 VS Code 智能体——Apache 2.0 + BYOK + 每周多次发布 + 多模式（Code \u002F Architect \u002F Ask \u002F Debug）+ Boomerang Tasks 并行 sub-agent + 自定义 Modes + Auto-Approve。GitHub 23.8K Star、1.55M VS Code 安装、300+ 活跃贡献者。OSS 完全免费（你自付 LLM tokens），Cloud Team $99\u002F月 加团队策略 + remote agents。",[26,40516,40517],{},"适合：想要 Cursor-style 自治 + 完全透明 + 无供应商锁定的 solo \u002F 小团队；多步重构 \u002F 多文件改动用 Boomerang Tasks 混合模型省 token；偏好开源 + 本地 Ollama 隐私。不适合：要严格 human-in-the-loop（Cline 的 Plan\u002FAct 更稳）；要 JetBrains 原生（Cline 有，Roo 只有实验桥接）；不想配模型 \u002F 不想看 prompt（Cursor \u002F Copilot 更省心）。",[21,40519,34],{"id":34},[36,40521,40522,40528,40534,40540,40546,40552,40557,40563,40568,40576,40581],{},[39,40523,40524,40527],{},[42,40525,40526],{},"Agentic Loop","：Thought → Plan → Act → Observe 递归循环，错了自动读 stderr + 重试",[39,40529,40530,40533],{},[42,40531,40532],{},"多模式","：Code（写代码）\u002F Architect（设计）\u002F Ask（解释）\u002F Debug（修问题），可在 sub-task 切换",[39,40535,40536,40539],{},[42,40537,40538],{},"Boomerang Tasks","：主任务派发 sub-task 到不同 mode + 不同模型，并行 \u002F 串行混合",[39,40541,40542,40545],{},[42,40543,40544],{},"Custom Modes","：自定义 system prompt + 工具集 + 模型，团队级共享",[39,40547,40548,40551],{},[42,40549,40550],{},"Auto-Approve","：连续执行不打断（高风险 → 配白名单）",[39,40553,40554,40556],{},[42,40555,22729],{},"：Anthropic \u002F OpenAI \u002F Google \u002F DeepSeek \u002F xAI \u002F Mistral \u002F OpenRouter \u002F Ollama 本地",[39,40558,40559,40562],{},[42,40560,40561],{},"完整透明","：每步 prompt \u002F cost \u002F context usage 可见",[39,40564,40565,40567],{},[42,40566,1436],{},"：继承 Cline MCP 协议，工具 \u002F 数据源 \u002F 自定义服务器",[39,40569,40570,40575],{},[42,40571,40572],{},[204,40573,40574],{},".rooignore","：限制 AI 可见文件，敏感目录可排除",[39,40577,40578,40580],{},[42,40579,7399],{},"：Ollama \u002F vLLM 局域网模型，air-gapped 可用",[39,40582,40583,40585],{},[42,40584,10032],{},"：task 存储 + 协作 + remote agent + 团队策略",[21,40587,108],{"id":108},[36,40589,40590,40595,40600,40606],{},[39,40591,40592,40594],{},[42,40593,18201],{},"：$0（Apache 2.0）；你自付 LLM API",[39,40596,40597,40599],{},[42,40598,14961],{},"：$0 + 云端基础",[39,40601,40602,40605],{},[42,40603,40604],{},"Cloud Team","：$99\u002F月 + remote agents + 团队治理",[39,40607,40608,40610],{},[42,40609,833],{},"：Custom + SSO + 审计 + 私有部署",[130,40612,40613],{},[26,40614,40615],{},"实际成本 = 0（OSS）+ LLM 调用费。Boomerang 混合模型策略下，月度账单可比单跑 Claude Opus 省 50–70%。",[21,40617,40619],{"id":40618},"实测solo-5-人小团队-typescript-全栈","实测（solo + 5 人小团队 \u002F TypeScript 全栈）",[26,40621,40622],{},[42,40623,143],{},[36,40625,40626,40629,40632,40635,40641,40644],{},[39,40627,40628],{},"每周多次发布，新特性来得快，社区驱动感强",[39,40630,40631],{},"Boomerang Tasks 重构整目录时效率拉满：Architect Opus 出方案 → Code DeepSeek 实现 → Debug Sonnet 验",[39,40633,40634],{},"自定义 Modes 把团队风格固化，新人接手新仓库 30 分钟上手",[39,40636,40637,40638,40640],{},"Auto-Approve + ",[204,40639,40574],{}," 配好后 80% 任务零打断",[39,40642,40643],{},"BYOK 透明度极高：每个 prompt \u002F cost \u002F context 都可看，比 Cursor 黑盒强",[39,40645,40646],{},"Ollama + Qwen2.5 Coder 本地跑离线场景 OK",[26,40648,40649],{},[42,40650,168],{},[36,40652,40653,40656,40659,40662,40665,40668,40671],{},[39,40654,40655],{},"每周快速发布 = 偶发回归，生产仓库别盲跟 latest",[39,40657,40658],{},"Auto-Approve 不配白名单可能误删 \u002F 误覆盖（必须先 commit）",[39,40660,40661],{},"多模式切换初学者会 confused，文档要花时间读",[39,40663,40664],{},"JetBrains 只有实验桥接（要 JetBrains 原生用 Cline）",[39,40666,40667],{},"模型 BYOK 配置门槛比 Cursor 高",[39,40669,40670],{},"Boomerang 并行多 sub-agent 时 token 烧得快，要监控",[39,40672,40673],{},"中文 prompt 表现尚可但 system prompt 仍英文最佳",[21,40675,936],{"id":936},[630,40677,40678,40684,40687,40690,40696,40702],{},[39,40679,40680,40681,40683],{},"VS Code → Extensions → 搜 ",[204,40682,22379],{}," 安装",[39,40685,40686],{},"设置 → Provider → 添加 Anthropic \u002F OpenAI \u002F Google \u002F OpenRouter \u002F Ollama API Key",[39,40688,40689],{},"选默认 Mode（Code）→ 在侧边栏对话框写需求",[39,40691,40692,40693,40695],{},"启用 Auto-Approve（先 commit！）+ 配 ",[204,40694,40574],{}," 限制范围",[39,40697,40698,40699],{},"多步任务用 Boomerang：在 prompt 写 ",[204,40700,40701],{},"start a subtask in architect mode to plan, then code mode to implement",[39,40703,40704],{},"团队：上 Cloud Team → 共享 Custom Modes + remote agents",[21,40706,364],{"id":364},[366,40708,40709,40723],{},[369,40710,40711],{},[372,40712,40713,40715,40717,40719,40721],{},[375,40714,377],{},[375,40716,22379],{},[375,40718,22375],{},[375,40720,1058],{},[375,40722,22688],{},[390,40724,40725,40738,40753,40768,40784,40798,40812,40826,40842,40854,40866],{},[372,40726,40727,40729,40731,40733,40736],{},[395,40728,1891],{},[395,40730,1899],{},[395,40732,1899],{},[395,40734,40735],{},"商业",[395,40737,1899],{},[372,40739,40740,40742,40745,40748,40750],{},[395,40741,27795],{},[395,40743,40744],{},"23.8K",[395,40746,40747],{},"57.9K",[395,40749,437],{},[395,40751,40752],{},"19K+",[372,40754,40755,40758,40761,40764,40766],{},[395,40756,40757],{},"安装量",[395,40759,40760],{},"1.55M VS Code",[395,40762,40763],{},"4M+ VS+JB",[395,40765,437],{},[395,40767,2461],{},[372,40769,40770,40772,40775,40778,40781],{},[395,40771,6291],{},[395,40773,40774],{},"多模式 + Boomerang",[395,40776,40777],{},"Plan\u002FAct 两阶段",[395,40779,40780],{},"内置 IDE",[395,40782,40783],{},"Chat + Edit",[372,40785,40786,40788,40791,40793,40796],{},[395,40787,8299],{},[395,40789,40790],{},"✅ Boomerang",[395,40792,426],{},[395,40794,40795],{},"✅ Composer",[395,40797,426],{},[372,40799,40800,40803,40805,40807,40809],{},[395,40801,40802],{},"自定义 Modes",[395,40804,1100],{},[395,40806,426],{},[395,40808,20064],{},[395,40810,40811],{},"Slash Commands",[372,40813,40814,40817,40820,40822,40824],{},[395,40815,40816],{},"JetBrains",[395,40818,40819],{},"实验桥接",[395,40821,473],{},[395,40823,426],{},[395,40825,1100],{},[372,40827,40828,40831,40834,40837,40840],{},[395,40829,40830],{},"发布节奏",[395,40832,40833],{},"每周多次",[395,40835,40836],{},"月级稳定",[395,40838,40839],{},"月级",[395,40841,40839],{},[372,40843,40844,40846,40848,40850,40852],{},[395,40845,40550],{},[395,40847,1100],{},[395,40849,33152],{},[395,40851,1100],{},[395,40853,437],{},[372,40855,40856,40858,40860,40862,40864],{},[395,40857,22729],{},[395,40859,3135],{},[395,40861,3135],{},[395,40863,440],{},[395,40865,1100],{},[372,40867,40868,40870,40873,40876,40878],{},[395,40869,1850],{},[395,40871,40872],{},"✅ 继承",[395,40874,40875],{},"✅ 一等",[395,40877,1100],{},[395,40879,1100],{},[21,40881,521],{"id":521},[36,40883,40884,40890,40898,40904,40910,40916,40922,40928],{},[39,40885,40886,40889],{},[42,40887,40888],{},"快速发布回归风险","：生产仓库别用 latest，pin 一个稳定版本季度升级",[39,40891,40892,5072,40895,40897],{},[42,40893,40894],{},"Auto-Approve 必白名单",[204,40896,40574],{}," + git clean 状态 + commit 习惯 = 三道防线",[39,40899,40900,40903],{},[42,40901,40902],{},"Boomerang token 失控","：sub-agent 并行烧得快，月预算告警",[39,40905,40906,40909],{},[42,40907,40908],{},"多模式学习成本","：先用 Code 一种跑顺再加 Architect\u002FDebug",[39,40911,40912,40915],{},[42,40913,40914],{},"MCP 服务器质量参差","：装第三方 server 看 review + 沙盒",[39,40917,40918,40921],{},[42,40919,40920],{},"shell 工具权限","：危险命令（rm -rf \u002F dd）要在 settings 里拉黑",[39,40923,40924,40927],{},[42,40925,40926],{},"JetBrains 用户","：要原生体验请走 Cline；实验桥接稳定性还在演进",[39,40929,40930,40932],{},[42,40931,3768],{},"：system prompt + custom modes 用英文写效果最好",[21,40934,575],{"id":574},[36,40936,40937,40940,40943,40946,40949,40952,40955,40958,40961],{},[39,40938,40939],{},"✅ Power user \u002F 想跟最新特性的开发者",[39,40941,40942],{},"✅ solo \u002F 小团队 + 多模型混合 + 省 token",[39,40944,40945],{},"✅ 多步重构 \u002F 多文件改动（Boomerang）",[39,40947,40948],{},"✅ 完全透明 + 无供应商锁定",[39,40950,40951],{},"✅ Ollama 本地 \u002F air-gapped 场景",[39,40953,40954],{},"❌ 严格 human-in-the-loop \u002F 受监管行业（Cline）",[39,40956,40957],{},"❌ JetBrains 原生需求（Cline）",[39,40959,40960],{},"❌ 不想配模型 \u002F 不想看 prompt（Cursor \u002F Copilot）",[39,40962,40963],{},"❌ 完全稳定 LTS 需求（每周快速发布）",[21,40965,604],{"id":604},[36,40967,40968,40972,40978,40983],{},[39,40969,40970],{},[610,40971,22242],{"href":22241},[39,40973,40974],{},[610,40975,40977],{"href":40976},"\u002Ftools\u002Fcoding\u002Fcli\u002Fcontinue","Continue 评测",[39,40979,40980],{},[610,40981,23359],{"href":40982},"\u002Ftools\u002Fcoding\u002Fcli\u002Fopenhands",[39,40984,40985],{},[610,40986,21100],{"href":21099},[21,40988,628],{"id":628},[630,40990,40991,40998,41005,41011,41017],{},[39,40992,40993,40994],{},"DevRadar — Roo Code Review 2026（BYOK \u002F Agentic Loop \u002F 模型矩阵）",[610,40995,40996],{"href":40996,"rel":40997},"https:\u002F\u002Fdevradar-dev.github.io\u002Fopen-research\u002Fai-tools\u002Froo-code",[639],[39,40999,41000,41001],{},"RockB — Cline vs Roo Code 2026（Star \u002F 安装 \u002F 多模式架构）",[610,41002,41003],{"href":41003,"rel":41004},"https:\u002F\u002Fbaeseokjae.github.io\u002Fposts\u002Fcline-vs-roo-code-2026",[639],[39,41006,41007,41008],{},"Serenities AI — Roo Code vs Cline 2026（社区 vs 产品路线）",[610,41009,35168],{"href":35168,"rel":41010},[639],[39,41012,41013,41014],{},"Qodo Blog — Roo Code vs Cline（企业治理视角）",[610,41015,35175],{"href":35175,"rel":41016},[639],[39,41018,41019,41020],{},"LLMReference — Roo Code Model Compatibility Matrix ",[610,41021,41022],{"href":41022,"rel":41023},"https:\u002F\u002Fwww.llmreference.com\u002Fagents\u002Froo-code",[639],{"title":202,"searchDepth":250,"depth":250,"links":41025},[41026,41027,41028,41029,41030,41031,41032,41033,41034,41035],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":40618,"depth":224,"text":40619},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Froo-code.webp","Roo Code 真实评测：从 Cline fork 出来的 power-user 路线 VS Code AI 智能体（Apache 2.0、TypeScript）。多模式（Code\u002FArchitect\u002FAsk\u002FDebug）+ Boomerang Tasks 并行 sub-agent + 自定义 Modes + Auto-Approve + BYOK（Claude \u002F GPT \u002F Gemini \u002F DeepSeek \u002F Ollama）。GitHub 23.8K Star、1.55M VS Code 安装，2026-03 300+ active 贡献者。Cloud Free \u002F Team $99\u002F月 加云端 + 团队策略。",[41039,41042,41045,41048],{"q":41040,"a":41041},"Roo Code 和 Cline 的核心区别？","都是 Apache 2.0 BYOK VS Code 智能体，Roo Code 是 Cline 早期 fork。Cline 走 Plan\u002FAct 两阶段 + step-by-step approval，规模 57.9K Star \u002F 4M+ 安装（含 JetBrains 原生）。Roo Code 走多模式（Code\u002FArchitect\u002FAsk\u002FDebug）+ Boomerang Tasks 并行 sub-agent + 自定义 Modes，每周多次发布，规模 23.8K Star \u002F 1.55M VS Code 安装、JetBrains 实验桥接。受监管 \u002F 强人审批用 Cline；solo \u002F 小团队 + 想跑并行多步走 Roo。",{"q":41043,"a":41044},"Boomerang Tasks 是什么？","Roo Code 的多 agent orchestration：主任务可派发 sub-task 到不同 mode（如 Architect 设计 → Code 实现 → Debug 验证），每个 sub-task 用不同模型（贵模型规划 + 便宜模型实现），结果回传主任务。在重构 \u002F 多文件改动里能把 Claude Opus + DeepSeek 混搭省 60% token 成本。",{"q":41046,"a":41047},"BYOK 支持哪些模型？","Anthropic（Claude Sonnet\u002FOpus 4.6，1M context via Vertex）、OpenAI（GPT-5.4 \u002F o1 \u002F Codex Max）、Google（Gemini 2.5 Pro \u002F Flash，2M context）、DeepSeek（V4 Pro \u002F R1，1M context）、本地 Ollama（Llama 3 \u002F Qwen 2.5）、xAI \u002F Mistral \u002F Groq \u002F OpenRouter 聚合。完全 BYOK，零供应商锁定。",{"q":41049,"a":41050},"Auto-Approve 安全吗？","Auto-Approve 让 Roo 不停人手批准连续执行——效率高但有 prompt injection \u002F 误删风险。建议：(1) 只在 git 工作区干净时开；(2) 限制文件 \u002F 命令白名单（`.rooignore` + Auto-Approve 规则）；(3) 不要给 shell 全自动权限；(4) 用前先 commit。受监管 \u002F 生产代码强烈建议保持手动审批。",[697,696],{},[22299,15423],[41055,41060,41063,41066],{"plan":41056,"price":41057,"features":41058,"notes":41059},"Roo Code OSS","$0（Apache 2.0）","VS Code 扩展 + 多模式 + 自定义 Modes + Boomerang Tasks + Auto-Approve + BYOK + Ollama 本地","你自付 LLM API tokens",{"plan":14961,"price":707,"features":41061,"notes":41062},"云端 task 存储 + 协作基础 + remote agent 入门","试水云端能力",{"plan":40604,"price":28504,"features":41064,"notes":41065},"团队策略 + remote agents + 跨成员共享 modes + 治理","5+ 人小团队",{"plan":833,"price":716,"features":41067,"notes":10045},"SSO\u002FSAML + 审计 + 私有部署 + SLA","Apache 2.0 OSS 免费（自付 LLM tokens）+ Cloud Free \u002F Team $99\u002F月 \u002F Enterprise 定制",[41070],"onboarding\u002Fcline-getting-started",{"power":264,"ux":257,"price":264,"cn_support":250,"stability":257},{"title":22379,"description":41037},"Roo Code 评测 2026：开源 VS Code AI Agent，Cline 分支扩展",[41075,41077,41079,41081,41083],{"name":41076,"url":40996,"accessed":732},"DevRadar — Roo Code Review 2026 (BYOK \u002F Agentic Loop)",{"name":41078,"url":41003,"accessed":732},"RockB — Cline vs Roo Code 2026 (架构 \u002F Stars \u002F 多模式)",{"name":41080,"url":35168,"accessed":732},"Serenities AI — Roo Code vs Cline 2026",{"name":41082,"url":35175,"accessed":732},"Qodo Blog — Roo Code vs Cline (企业治理对比)",{"name":41084,"url":41022,"accessed":732},"LLMReference — Roo Code Model Compatibility","tools\u002Fcoding\u002Fcli\u002Froo-code","Cline fork 的 power user VS Code 智能体——多模式 + Boomerang Tasks + BYOK，每周多次发布",[22299,700,22956,745,41088,1392,3369,41089],"apache2","fork","想要 Cline 的开源透明 + 更激进新特性的 power user 首选。要严格 human-in-the-loop + JetBrains 走 Cline；要团队策略 + 云端协作走 Roo Cloud Team；要纯 IDE 集成 + 不折腾走 Cursor \u002F Copilot。","https:\u002F\u002Froocode.com","zw5qMa68MZ-mGQBNXrtcvN_7CB3_w_5LzpsWF_Tvuhk",{"id":41094,"title":41095,"alternatives":41096,"api_compatible":16,"body":41097,"category":22301,"chinese_friendly":224,"cover":41745,"description":41746,"domestic":680,"extension":681,"faq":16,"free":253,"github":41716,"languages":41747,"lastVerified":16,"meta":41748,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":41749,"pillar":22297,"platforms":41750,"priceTable":41751,"pricing":41765,"published":40482,"relatedPlaybooks":16,"relatedReviews":16,"score":41766,"self_host":680,"seo":41767,"seoTitle":41768,"slug":41769,"sources":41770,"stem":41782,"suitable":16,"tagline":41783,"tags":41784,"updated":40482,"verdict":41787,"website":41705,"__hash__":41788},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fwarp.md","Warp",[1403,1404,1405,23472],{"type":18,"value":41098,"toc":41727},[41099,41101,41120,41125,41127,41131,41134,41145,41149,41152,41156,41187,41191,41199,41203,41206,41210,41288,41299,41313,41315,41368,41385,41387,41420,41422,41546,41551,41565,41570,41586,41588,41630,41632,41634,41648,41650,41667,41669,41697,41699,41721,41725],[21,41100,24],{"id":23},[5783,41102,41104,41113],{"className":41103},[5786,5787,5788],[26,41105,41106,41108,41109,41112],{},[42,41107,5793],{}," 用 Rust 重写的 ",[42,41110,41111],{},"AI-native 终端","，2020 年创立（红杉\u002FGV 投资），mac 开发者中用户量很大。它不是给老终端加 AI 插件，而是从头围绕「块状命令输出 + 现代文本编辑 + 内置 AI」重新设计。2025 年开源（客户端 AGPLv3，62k+ GitHub stars）。",[26,41114,41115,41116,41119],{},"核心能力：自然语言生成命令、本地 + 云端 agent、codebase 索引、跨 zsh\u002Fbash\u002Ffish。代价是 AI 走 ",[42,41117,41118],{},"credit 制","，重度使用月成本高。",[130,41121,41122],{},[26,41123,41124],{},"来源说明：本文基于 warp.dev 官方与定价页、GitHub 仓库、多份独立评测（aitools.inc \u002F theaiagentindex）综合整理。Warp 迭代快、credit 规则随官方调整，请以最新官方信息为准。",[21,41126,5893],{"id":5893},[5062,41128,41130],{"id":41129},"块状终端blocks","块状终端（Blocks）",[26,41132,41133],{},"Warp 最标志性的设计：把每条命令的「输入 + 输出」组织成一个可导航的「块」，而不是一长串滚动文本。好处：",[36,41135,41136,41139,41142],{},[39,41137,41138],{},"历史命令一眼区分，点一下就能复制整块输入或输出",[39,41140,41141],{},"块可以分享给同事（连命令带输出）",[39,41143,41144],{},"命令行支持像代码编辑器一样把光标放任意位置编辑、多行编辑、智能选择",[5062,41146,41148],{"id":41147},"ai-命令助手","AI 命令助手",[26,41150,41151],{},"直接在终端里用自然语言问，拿到命令建议、解释和复杂工作流帮助。比如输入「重启 docker 并清缓存」生成对应命令。内置 400+ CLI 工具的智能补全。",[5062,41153,41155],{"id":41154},"warp-agent-云端-agent","Warp Agent + 云端 agent",[36,41157,41158,41164,41174,41180],{},[39,41159,41160,41163],{},[42,41161,41162],{},"本地 agent","：在终端里 agentic 地完成编码任务",[39,41165,41166,41169,41170,41173],{},[42,41167,41168],{},"云端 agent（Cloud Agents）","：关键差异点——",[42,41171,41172],{},"终端关掉后任务还在云端继续跑","，适合长时间自主工作流",[39,41175,41176,41179],{},[42,41177,41178],{},"codebase 索引","：付费档支持单仓库最多 10 万文件索引",[39,41181,41182,41186],{},[42,41183,41184,39840],{},[610,41185,1850],{"href":12453},"：所有付费档可用",[5062,41188,41190],{"id":41189},"oz多-agent-编排2026-06","Oz：多 agent 编排（2026-06）",[26,41192,41193,41194,5379,41196,41198],{},"2026 年 6 月 Warp 推出 Oz 编排层，能在一个统一工作流里协调 ",[610,41195,1790],{"href":13587},[610,41197,40261],{"href":33105}," 和 Warp Agent——把多个 agent harness 统一调度。",[5062,41200,41202],{"id":41201},"warp-drive","Warp Drive",[26,41204,41205],{},"团队共享层：保存常用命令为可复用 workflow（带参数）、共享 Notebook、实时 session 分享做结对编程。",[21,41207,41209],{"id":41208},"价格与运行成本credit-制","价格与运行成本（credit 制）",[366,41211,41212,41224],{},[369,41213,41214],{},[372,41215,41216,41218,41220,41222],{},[375,41217,12497],{},[375,41219,108],{},[375,41221,21892],{},[375,41223,32775],{},[390,41225,41226,41238,41252,41264,41277],{},[372,41227,41228,41230,41232,41235],{},[395,41229,843],{},[395,41231,707],{},[395,41233,41234],{},"限量 AI + BYO 推理",[395,41236,41237],{},"终端基础功能全免费",[372,41239,41240,41243,41246,41249],{},[395,41241,41242],{},"Build",[395,41244,41245],{},"$20\u002F月（年付 $18）",[395,41247,41248],{},"1500\u002F月",[395,41250,41251],{},"官方推荐，前沿模型全开",[372,41253,41254,41256,41258,41261],{},[395,41255,855],{},[395,41257,1363],{},[395,41259,41260],{},"12× Build",[395,41262,41263],{},"重度自主工作流",[372,41265,41266,41268,41271,41274],{},[395,41267,30638],{},[395,41269,41270],{},"$50\u002Fseat\u002F月",[395,41272,41273],{},"1500\u002F月\u002F人",[395,41275,41276],{},"团队 ZDR + SSO，最多 25 席",[372,41278,41279,41281,41283,41285],{},[395,41280,833],{},[395,41282,10045],{},[395,41284,13826],{},[395,41286,41287],{},"BYOLLM + 自托管云 agent",[26,41289,41290,41293,41294,11000],{},[42,41291,41292],{},"credit 消耗要点","（据官方与 ",[610,41295,41298],{"href":41296,"rel":41297},"https:\u002F\u002Ftheaiagentindex.com\u002Fagents\u002Fwarp-ai",[639],"theaiagentindex 评测",[36,41300,41301,41304,41307,41310],{},[39,41302,41303],{},"credit 同时用于云端和本地 agent",[39,41305,41306],{},"用前沿模型（GPT \u002F Claude \u002F Gemini）消耗更快",[39,41308,41309],{},"支持 Reload credits（按量加购，有阶梯折扣）+ auto-reload + 团队消费上限",[39,41311,41312],{},"年付约 9 折",[21,41314,6151],{"id":6150},[197,41316,41318],{"className":199,"code":41317,"language":201,"meta":202,"style":202},"# macOS\nbrew install --cask warp\n\n# Windows\nwinget install Warp.Warp\n\n# Linux（.deb \u002F .rpm \u002F AppImage \u002F pacman，x64 与 ARM64）\n# 去 https:\u002F\u002Fapp.warp.dev\u002Fget_warp 选对应包\n",[204,41319,41320,41324,41335,41339,41344,41354,41358,41363],{"__ignoreMap":202},[207,41321,41322],{"class":209,"line":210},[207,41323,1576],{"class":260},[207,41325,41326,41328,41330,41332],{"class":209,"line":224},[207,41327,1581],{"class":213},[207,41329,241],{"class":217},[207,41331,34138],{"class":227},[207,41333,41334],{"class":217}," warp\n",[207,41336,41337],{"class":209,"line":250},[207,41338,254],{"emptyLinePlaceholder":253},[207,41340,41341],{"class":209,"line":257},[207,41342,41343],{"class":260},"# Windows\n",[207,41345,41346,41349,41351],{"class":209,"line":264},[207,41347,41348],{"class":213},"winget",[207,41350,241],{"class":217},[207,41352,41353],{"class":217}," Warp.Warp\n",[207,41355,41356],{"class":209,"line":276},[207,41357,254],{"emptyLinePlaceholder":253},[207,41359,41360],{"class":209,"line":281},[207,41361,41362],{"class":260},"# Linux（.deb \u002F .rpm \u002F AppImage \u002F pacman，x64 与 ARM64）\n",[207,41364,41365],{"class":209,"line":287},[207,41366,41367],{"class":260},"# 去 https:\u002F\u002Fapp.warp.dev\u002Fget_warp 选对应包\n",[630,41369,41370,41373,41376,41379,41382],{},[39,41371,41372],{},"安装后用账号登录（国内需代理过验证）",[39,41374,41375],{},"习惯块状输出——每条命令是一个独立块",[39,41377,41378],{},"输入自然语言（如「找出占用 8080 端口的进程并杀掉」）让 AI 生成命令",[39,41380,41381],{},"试 Warp Agent：让它跑一个多步骤任务，看它读输出、自动纠错",[39,41383,41384],{},"团队用户配 Warp Drive 共享 workflow",[21,41386,6197],{"id":6197},[630,41388,41389,41394,41399,41404],{},[39,41390,41391,41393],{},[42,41392,34256],{},"：AI 推理在境外，agent \u002F 命令生成没代理会卡顿",[39,41395,41396,41398],{},[42,41397,11197],{},"：付费档只收海外卡",[39,41400,41401,41403],{},[42,41402,27682],{},"：界面以英文为主，中文支持弱",[39,41405,41406,41408,41409,41411,41412,41414,41415,41419],{},[42,41407,6226],{},"：国内终端 AI 工作流可考虑 ",[610,41410,1790],{"href":13587},"（配国内中转）、",[610,41413,1793],{"href":22383},"（开源、可接国内模型 API）、",[610,41416,41418],{"href":41417},"\u002Fcoding\u002Fcopilot\u002Ftongyi-lingma.html","通义灵码"," 命令行能力",[21,41421,6239],{"id":6239},[366,41423,41424,41444],{},[369,41425,41426],{},[372,41427,41428,41430,41432,41436,41440],{},[375,41429,377],{},[375,41431,41095],{},[375,41433,41434],{},[610,41435,1790],{"href":13587},[375,41437,41438],{},[610,41439,1793],{"href":22383},[375,41441,41442],{},[610,41443,40261],{"href":33105},[390,41445,41446,41460,41475,41489,41502,41519,41534],{},[372,41447,41448,41450,41452,41455,41458],{},[395,41449,2367],{},[395,41451,41111],{},[395,41453,41454],{},"终端内 agent",[395,41456,41457],{},"终端内 pair programmer",[395,41459,41454],{},[372,41461,41462,41465,41468,41471,41473],{},[395,41463,41464],{},"终端 UX 革新",[395,41466,41467],{},"★★★★★ 块状\u002F编辑",[395,41469,41470],{},"★★★☆☆ 普通终端跑",[395,41472,5585],{},[395,41474,5585],{},[372,41476,41477,41480,41483,41485,41487],{},[395,41478,41479],{},"云端 agent",[395,41481,41482],{},"★★★★★ 有",[395,41484,40168],{},[395,41486,40168],{},[395,41488,5585],{},[372,41490,41491,41493,41496,41498,41500],{},[395,41492,414],{},[395,41494,41495],{},"★★★★☆ 客户端 AGPLv3",[395,41497,40168],{},[395,41499,40163],{},[395,41501,5579],{},[372,41503,41504,41507,41510,41513,41516],{},[395,41505,41506],{},"模型灵活度",[395,41508,41509],{},"★★★★☆ 多家 + BYOK",[395,41511,41512],{},"★★★☆☆ 主 Claude",[395,41514,41515],{},"★★★★★ 任意 API",[395,41517,41518],{},"★★★☆☆ 主 OpenAI",[372,41520,41521,41524,41527,41529,41532],{},[395,41522,41523],{},"成本可预测性",[395,41525,41526],{},"★★★☆☆ credit 制",[395,41528,5579],{},[395,41530,41531],{},"★★★★★ 按 API 付",[395,41533,5579],{},[372,41535,41536,41538,41540,41542,41544],{},[395,41537,40175],{},[395,41539,5593],{},[395,41541,5585],{},[395,41543,5579],{},[395,41545,5585],{},[26,41547,41548,5072],{},[42,41549,41550],{},"选 Warp 如果你",[36,41552,41553,41556,41559,41562],{},[39,41554,41555],{},"想要根本性更好的终端 UX（块状输出 + 现代编辑）",[39,41557,41558],{},"需要云端 agent 跑关终端也不停的长任务",[39,41560,41561],{},"mac \u002F Linux 用户、能搞定网络和支付",[39,41563,41564],{},"想要一个 GUI 化、可分享、可团队协作的终端",[26,41566,41567,5072],{},[42,41568,41569],{},"别选 Warp 如果你",[36,41571,41572,41577,41580,41583],{},[39,41573,41574,41575,2337],{},"重度使用且预算敏感（credit 制不如按 API 付划算，去 ",[610,41576,1793],{"href":22383},[39,41578,41579],{},"Windows 重度用户（打磨不如 mac\u002FLinux）",[39,41581,41582],{},"国内 + 不想折腾代理",[39,41584,41585],{},"只想要纯净轻量终端（用 iTerm2 \u002F Alacritty）",[21,41587,6457],{"id":6457},[36,41589,41590,41596,41606,41612,41618,41624],{},[39,41591,41592,41595],{},[42,41593,41594],{},"credit 制要算账","：Build 的 1500 credits 看着多，跑 agent + 前沿模型消耗快，重度用户得上 Max（$200）或买 Reload credits，成本不低。",[39,41597,41598,41601,41602,41605],{},[42,41599,41600],{},"Windows 打磨落后","：据 ",[610,41603,41298],{"href":41296,"rel":41604},[639],"，Windows 版虽可用，但稳定性和细节不如 mac \u002F Linux。Windows 用户预期别拉太高。",[39,41607,41608,41611],{},[42,41609,41610],{},"开源 ≠ 全开源","：开源的是客户端（AGPLv3）和 UI 框架（MIT），后端服务和 AI 基础设施不开源。要完全自托管得上 Enterprise。",[39,41613,41614,41617],{},[42,41615,41616],{},"AGPLv3 注意合规","：如果你 fork 改 Warp 客户端并对外提供网络服务，AGPLv3 要求公开你的修改源码。企业内部商用前确认许可证义务。",[39,41619,41620,41623],{},[42,41621,41622],{},"数据出网","：默认 AI 走云端。介意代码出网的，Free 档可 BYO 推理，或上 Business\u002FEnterprise 的 Zero Data Retention。",[39,41625,41626,41629],{},[42,41627,41628],{},"国内三道坎","：网络、支付、英文界面，没代理基本玩不转。",[21,41631,575],{"id":574},[26,41633,6528],{},[36,41635,41636,41639,41642,41645],{},[39,41637,41638],{},"想要现代化、AI-native 的终端体验",[39,41640,41641],{},"需要云端 agent 跑长时间自主任务",[39,41643,41644],{},"mac \u002F Linux 开发者",[39,41646,41647],{},"团队需要共享命令 \u002F workflow \u002F 结对",[26,41649,6548],{},[36,41651,41652,41658,41661,41664],{},[39,41653,41654,41655,41657],{},"预算敏感的重度 AI 使用者（",[610,41656,1793],{"href":22383}," 按 API 付更省）",[39,41659,41660],{},"Windows 重度用户",[39,41662,41663],{},"国内首选且不想配代理",[39,41665,41666],{},"偏好极简纯净终端",[21,41668,604],{"id":604},[36,41670,41671,41681,41689],{},[39,41672,6576,41673,6035,41675,6035,41677,6035,41679],{},[610,41674,1790],{"href":13587},[610,41676,1793],{"href":22383},[610,41678,40261],{"href":33105},[610,41680,35996],{"href":39580},[39,41682,6587,41683,6035,41685,6035,41687],{},[610,41684,6591],{"href":6590},[610,41686,1850],{"href":12453},[610,41688,40404],{"href":40403},[39,41690,6598,41691,6035,41693],{},[610,41692,34594],{"href":34593},[610,41694,41696],{"href":41695},"\u002Fmodels\u002Fgpt-5-1-codex-max.html","GPT-5.1-Codex-Max",[21,41698,628],{"id":628},[36,41700,41701,41712,41718],{},[39,41702,6628,41703,41707,41708],{},[610,41704,41705],{"href":41705,"rel":41706},"https:\u002F\u002Fwarp.dev",[639]," ｜ 定价：",[610,41709,41710],{"href":41710,"rel":41711},"https:\u002F\u002Fwww.warp.dev\u002Fpricing",[639],[39,41713,13190,41714],{},[610,41715,41716],{"href":41716,"rel":41717},"https:\u002F\u002Fgithub.com\u002Fwarpdotdev\u002FWarp",[639],[39,41719,41720],{},"第三方评测：aitools.inc \u002F theaiagentindex.com",[26,41722,14253,41723,6648],{},[610,41724,6647],{"href":6646},[662,41726,14258],{},{"title":202,"searchDepth":250,"depth":250,"links":41728},[41729,41730,41737,41738,41739,41740,41741,41742,41743,41744],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":41731},[41732,41733,41734,41735,41736],{"id":41129,"depth":250,"text":41130},{"id":41147,"depth":250,"text":41148},{"id":41154,"depth":250,"text":41155},{"id":41189,"depth":250,"text":41190},{"id":41201,"depth":250,"text":41202},{"id":41208,"depth":224,"text":41209},{"id":6150,"depth":224,"text":6151},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fwarp.webp","Warp 真实评测：用 Rust 重写的 AI-native 终端，块状命令输出、自然语言生成命令、本地+云端 agent、codebase 索引。AIHO 编辑部基于官方与多份独立评测整理，含 credit 定价、与 Claude Code 对比、避坑指南。",[697],{},"\u002Ftools\u002Fcoding\u002Fcli\u002Fwarp",[1349,1348,1350],[41752,41754,41758,41760,41763],{"plan":843,"price":707,"limit":41753,"cn_pay":5724,"note":41237},"限量 AI credits + BYO 推理，云 agent\u002F索引受限",{"plan":41242,"price":41755,"limit":41756,"cn_pay":5730,"note":41757},"$20\u002F月（年付 9 折 $18）","1500 credits\u002F月，前沿 OpenAI\u002FAnthropic\u002FGoogle 模型","官方推荐档",{"plan":855,"price":1363,"limit":41759,"cn_pay":6363,"note":41263},"12× Build 的 credits",{"plan":30638,"price":41270,"limit":41761,"cn_pay":6363,"note":41762},"1500 credits + 团队 ZDR + SAML SSO","团队（最多 25 席）",{"plan":833,"price":10045,"limit":41764,"cn_pay":5724,"note":31096},"无限席位 + BYOLLM + 自托管云 agent","Free（100-限量 AI）\u002F Build $20\u002Fmo 1500 credits \u002F Max $200\u002Fmo \u002F Business $50\u002Fseat",{"power":257,"ux":264,"price":250,"cn_support":224,"stability":257},{"title":41095,"description":41746},"Warp 终端评测 2026：AI 增强终端，智能命令行工具","coding\u002Fcli\u002Fwarp",[41771,41773,41775,41777,41780],{"title":41772,"url":41705},"Warp 官方",{"title":41774,"url":41710},"Warp 定价页",{"title":41776,"url":41716},"Warp GitHub (warpdotdev\u002FWarp)",{"title":41778,"url":41779},"Warp Features & Pricing (aitools.inc)","https:\u002F\u002Faitools.inc\u002Ftools\u002Fwarp",{"title":41781,"url":41296},"Warp AI Review 2026 (theaiagentindex)","tools\u002Fcoding\u002Fcli\u002Fwarp","Rust 重写的 AI-native 终端，块状输出 + agent + 云端 agent",[22301,34725,700,7916,41785,41786],"block-output","cloud-agent","重新发明终端 UX 的标杆：块状输出 + 现代文本编辑 + AI 命令生成确实好用，2025 开源（AGPLv3）加分。但 AI 走 credit 制，重度使用成本高，Windows 打磨不如 mac\u002FLinux，国内网络+支付有门槛。","TSJE9rs4LHNXl0XOm-_4BxSrBqtslBhxdOHlkKYn0Bk",{"id":41790,"title":37015,"alternatives":41791,"api_compatible":16,"body":41793,"category":42173,"chinese_friendly":224,"cover":42174,"description":42175,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":42176,"lastVerified":2637,"meta":42177,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":42178,"pillar":22297,"platforms":42179,"priceTable":16,"pricing":42180,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":42181,"self_host":680,"seo":42182,"seoTitle":42183,"slug":42184,"sources":42185,"stem":42187,"suitable":16,"tagline":42188,"tags":42189,"updated":2637,"verdict":42192,"website":42158,"__hash__":42193},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Famazon-q.md",[21827,20457,41792],"coding\u002Fcopilot\u002Ftongyi-lingma",{"type":18,"value":41794,"toc":42160},[41795,41797,41804,41807,41809,41858,41860,41865,41898,41901,41903,41909,41926,41930,41947,41949,41969,41971,42056,42058,42090,42092,42115,42117,42123,42129,42135,42137,42146,42148,42152],[21,41796,24],{"id":23},[26,41798,41799,41800,41803],{},"Amazon Q Developer 是 AWS 的 AI 编程助手（前身 CodeWhisperer），最大特点是",[42,41801,41802],{},"和 AWS 生态深度绑定","。除了代码补全，它还能问答 AWS 资源状态、做代码安全扫描、辅助 Java \u002F .NET 代码迁移。免费版额度尚可，Pro $19\u002F月偏贵但含 AWS 管理功能。",[26,41805,41806],{},"适合：AWS 重度用户、需要云资源运维问答、企业级 Java\u002F.NET 代码迁移、看重安全扫描的团队。不适合：非 AWS 技术栈用户、个人开发者（$19 偏贵）、追求最强补全体验的用户。",[21,41808,34],{"id":34},[36,41810,41811,41817,41823,41828,41834,41840,41846,41852],{},[39,41812,41813,41816],{},[42,41814,41815],{},"代码补全","：行内补全 + 函数级生成，覆盖 Python \u002F Java \u002F JS \u002F TypeScript 等主流语言",[39,41818,41819,41822],{},[42,41820,41821],{},"AWS 资源问答","：直接问\"我的 EC2 实例为什么 CPU 高\"，Q 会查询 CloudWatch 等给出分析",[39,41824,41825,41827],{},[42,41826,19416],{},"：内置代码安全扫描，检测漏洞 \u002F 硬编码密钥 \u002F 不安全模式",[39,41829,41830,41833],{},[42,41831,41832],{},"代码迁移","：Java 8\u002F11 → 17\u002F21、.NET Framework → .NET Core 的自动迁移辅助",[39,41835,41836,41839],{},[42,41837,41838],{},"AWS 最佳实践","：补全代码会主动建议 AWS SDK 最佳实践（如重试逻辑、错误处理）",[39,41841,41842,41845],{},[42,41843,41844],{},"多 IDE 支持","：VS Code、IntelliJ、JetBrains 全家桶、AWS Cloud9、命令行",[39,41847,41848,41851],{},[42,41849,41850],{},"AWS 管理助手（Pro）","：在 AWS Console 内直接用自然语言操作云资源",[39,41853,41854,41857],{},[42,41855,41856],{},"参考追踪","：补全代码如匹配开源代码，会标注来源和 license",[21,41859,108],{"id":108},[130,41861,41862],{},[26,41863,41864],{},"以下价格为 2026-07-30 查询官网，可能有变动。",[366,41866,41867,41877],{},[369,41868,41869],{},[372,41870,41871,41873,41875],{},[375,41872,9528],{},[375,41874,108],{},[375,41876,9533],{},[390,41878,41879,41888],{},[372,41880,41881,41883,41885],{},[395,41882,843],{},[395,41884,707],{},[395,41886,41887],{},"每月无限补全 + 50 次代理请求（问答\u002F编码）\u002F月 + 基础安全扫描",[372,41889,41890,41892,41895],{},[395,41891,849],{},[395,41893,41894],{},"$19\u002F月",[395,41896,41897],{},"无限聊天 + 高级安全扫描 + AWS 管理 + 代码迁移",[26,41899,41900],{},"Free 版补全无限量是亮点，但代理请求仅 50 次\u002F月。Pro $19 比 Copilot 贵近一倍，价值在 AWS 管理和迁移功能。",[21,41902,2241],{"id":2240},[130,41904,41905],{},[26,41906,2246,41907],{},[42,41908,143],{},[36,41910,41911,41914,41917,41920,41923],{},[39,41912,41913],{},"AWS SDK 代码补全质量高：IAM \u002F S3 \u002F Lambda 相关代码补全准确率明显优于 Copilot",[39,41915,41916],{},"AWS 资源问答实用：运维时直接问 Q 排查问题，省去翻 Console 的时间",[39,41918,41919],{},"安全扫描好用：能检出硬编码 AWS Key、不安全的 IAM Policy 等常见问题",[39,41921,41922],{},"Java 迁移功能惊艳：Java 8 → 17 的自动重构准确率高，省大量人工",[39,41924,41925],{},"免费版补全无限量，AWS 项目日常开发够用",[26,41927,41928],{},[42,41929,168],{},[36,41931,41932,41935,41938,41941,41944],{},[39,41933,41934],{},"非 AWS 技术栈补全质量一般，不如 Copilot 全面",[39,41936,41937],{},"$19\u002F月偏贵，不用 AWS 管理功能的话性价比低",[39,41939,41940],{},"中文交互支持弱，提问和回答都以英文为主",[39,41942,41943],{},"和 AWS 账号绑定，登录流程比 Copilot 麻烦",[39,41945,41946],{},"补全速度偶有波动，高峰期有延迟",[21,41948,936],{"id":936},[630,41950,41951,41954,41957,41960,41963,41966],{},[39,41952,41953],{},"安装 AWS Toolkit 插件（VS Code \u002F IntelliJ 搜索 \"AWS Toolkit\"）",[39,41955,41956],{},"用 AWS Builder ID 或 AWS 账号登录（免费版用 Builder ID 即可）",[39,41958,41959],{},"在 IDE 中启用 Amazon Q 功能",[39,41961,41962],{},"写代码时自动触发补全；侧边栏可打开聊天问答",[39,41964,41965],{},"需要安全扫描：右键文件 → Amazon Q → Scan",[39,41967,41968],{},"需要代码迁移 \u002F AWS 管理功能：升级 Pro（$19\u002F月）",[21,41970,364],{"id":364},[366,41972,41973,41986],{},[369,41974,41975],{},[372,41976,41977,41979,41982,41984],{},[375,41978,377],{},[375,41980,41981],{},"Amazon Q",[375,41983,34462],{},[375,41985,41418],{},[390,41987,41988,42000,42012,42023,42034,42045],{},[372,41989,41990,41993,41996,41998],{},[395,41991,41992],{},"AWS 生态集成",[395,41994,41995],{},"✅ 深度",[395,41997,426],{},[395,41999,426],{},[372,42001,42002,42005,42008,42010],{},[395,42003,42004],{},"补全能力",[395,42006,42007],{},"中（AWS 强）",[395,42009,10213],{},[395,42011,36427],{},[372,42013,42014,42016,42018,42021],{},[395,42015,19416],{},[395,42017,12077],{},[395,42019,42020],{},"插件",[395,42022,426],{},[372,42024,42025,42027,42030,42032],{},[395,42026,41832],{},[395,42028,42029],{},"✅ Java\u002F.NET",[395,42031,426],{},[395,42033,426],{},[372,42035,42036,42038,42041,42043],{},[395,42037,108],{},[395,42039,42040],{},"Free \u002F $19",[395,42042,3637],{},[395,42044,12512],{},[372,42046,42047,42050,42052,42054],{},[395,42048,42049],{},"非 AWS 场景",[395,42051,443],{},[395,42053,10213],{},[395,42055,10213],{},[21,42057,521],{"id":521},[36,42059,42060,42066,42072,42078,42084],{},[39,42061,42062,42065],{},[42,42063,42064],{},"非 AWS 项目别用 Q","：补全质量和性价比都不如 Copilot",[39,42067,42068,42071],{},[42,42069,42070],{},"Pro 值不值看用量","：不用 AWS 管理和迁移功能，$19 纯浪费",[39,42073,42074,42077],{},[42,42075,42076],{},"安全扫描别完全依赖","：能检常见问题但不是专业 SAST 工具，复杂漏洞检不出",[39,42079,42080,42083],{},[42,42081,42082],{},"迁移功能要先备份","：自动重构偶有误改，Git 提交后再跑",[39,42085,42086,42089],{},[42,42087,42088],{},"Free 聊天额度省着用","：50 次\u002F月很少，留给复杂问题",[21,42091,575],{"id":574},[36,42093,42094,42097,42100,42103,42106,42109,42112],{},[39,42095,42096],{},"✅ AWS 重度用户，日常写 AWS SDK 代码",[39,42098,42099],{},"✅ 需要云资源运维问答排查问题",[39,42101,42102],{},"✅ 企业级 Java \u002F .NET 代码迁移项目",[39,42104,42105],{},"✅ 看重代码安全扫描的团队",[39,42107,42108],{},"❌ 非 AWS 技术栈（用 Copilot）",[39,42110,42111],{},"❌ 个人开发者（$19 偏贵，Free 版聊天太少）",[39,42113,42114],{},"❌ 追求最强通用补全能力",[21,42116,2552],{"id":2551},[26,42118,42119,42122],{},[42,42120,42121],{},"Q: Amazon Q 和 CodeWhisperer 是什么关系？","\nA: CodeWhisperer 是前身。2024 年 AWS 将其整合进 Amazon Q 品牌，更名为 Amazon Q Developer，功能在原补全基础上增加了聊天、安全扫描、AWS 管理等。",[26,42124,42125,42128],{},[42,42126,42127],{},"Q: 免费版和 Copilot 免费版比？","\nA: Q 免费版补全无限量但聊天仅 50 次\u002F月；Copilot 免费版有限补全次数。AWS 项目选 Q，通用项目选 Copilot。",[26,42130,42131,42134],{},[42,42132,42133],{},"Q: Java 迁移功能好用吗？","\nA: Java 8 → 17 迁移效果不错，能自动处理 deprecated API、模块化、record 类等。但仍需人工 review，不要全自动信任。",[21,42136,604],{"id":604},[26,42138,42139,2589,42142,2589,42144],{},[610,42140,36612],{"href":42141},"\u002Fcoding\u002Fcli\u002Fgoose.html",[610,42143,37019],{"href":37018},[610,42145,37023],{"href":37022},[21,42147,628],{"id":628},[130,42149,42150],{},[26,42151,2604],{},[36,42153,42154],{},[39,42155,42156],{},[610,42157,2613],{"href":42158,"rel":42159},"https:\u002F\u002Faws.amazon.com\u002Fq\u002Fdeveloper",[639],{"title":202,"searchDepth":250,"depth":250,"links":42161},[42162,42163,42164,42165,42166,42167,42168,42169,42170,42171,42172],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"copilot","\u002Fimg\u002Ftools\u002Famazon-q.webp","Amazon Q Developer 真实评测：AWS 出品的 AI 编程助手（原 CodeWhisperer），深度集成 AWS 生态，支持代码补全、安全扫描、AWS 资源问答。Free + Pro $19\u002F月，适合 AWS 重度用户和企业级代码迁移场景。",[697],{},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Famazon-q",[1349,1348,1350],"Free \u002F Pro $19\u002Fmo",{"power":250,"ux":250,"price":250,"cn_support":224,"stability":257},{"title":37015,"description":42175},"Amazon Q Developer - AWS AI 编程助手评测 | AIHO","coding\u002Fcopilot\u002Famazon-q",[42186],{"title":2613,"url":42158},"tools\u002Fcoding\u002Fcopilot\u002Famazon-q","AWS AI 编程助手（原 CodeWhisperer），深度集成 AWS 生态",[42173,42190,15423,42191],"aws","code-completion","AWS 生态重度用户和云资源运维场景的首选，代码迁移和安全扫描是亮点；补全能力中等且绑死 AWS 体系，非 AWS 用户性价比低。","kBpm-yCytvf8DbgUWJA8OmPl4lGwb0pvTioQQ1G8kv0",{"id":42195,"title":42196,"alternatives":42197,"api_compatible":16,"body":42200,"category":42173,"chinese_friendly":264,"cover":42661,"description":42662,"domestic":680,"extension":681,"faq":42663,"free":680,"github":16,"languages":42676,"lastVerified":16,"meta":42677,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":42678,"pillar":22297,"platforms":42679,"priceTable":42683,"pricing":42702,"published":720,"relatedPlaybooks":42703,"relatedReviews":42705,"score":42709,"self_host":253,"seo":42710,"seoTitle":42711,"slug":42712,"sources":42713,"stem":42720,"suitable":16,"tagline":42721,"tags":42722,"updated":732,"verdict":42725,"website":42726,"__hash__":42727},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcodebuddy.md","CodeBuddy",[42198,41792,42199,21827],"coding\u002Fcopilot\u002Fcomate","coding\u002Fcopilot\u002Fcodegeex",{"type":18,"value":42201,"toc":42649},[42202,42204,42207,42210,42212,42267,42271,42345,42351,42356,42360,42364,42381,42385,42402,42404,42424,42426,42537,42539,42571,42573,42596,42598,42624,42626],[21,42203,24],{"id":23},[26,42205,42206],{},"CodeBuddy 是腾讯云 2026 主推的 AI 代码编辑器，混元 + DeepSeek V3 双模型路由。新计费体系 2026-05-15 启用：个人专业版 58 元\u002F月（2,000 credits）\u002F SaaS 企业版 198 元\u002F席\u002F月。核心差异点：Craft 自主 Agent、128K 上下文多文件项目支持、设计稿（Figma）→ 代码 95%+ 还原率、国内首家支持 MCP 协议、深度适配微信小程序 + 腾讯云生态。",[26,42208,42209],{},"适合：腾讯生态业务团队、微信小程序 \u002F 公众号开发者、需要私有化部署的国内企业、追求中文 + 海外模型可切换的国内 dev。不适合：海外纯 Cursor \u002F Copilot 用户、对腾讯云依赖度极低的开发者。",[21,42211,34],{"id":34},[36,42213,42214,42220,42226,42232,42238,42244,42249,42255,42261],{},[39,42215,42216,42219],{},[42,42217,42218],{},"Craft Mode","：自主 Agent，自然语言 → 多文件项目 + 单测 + 优化",[39,42221,42222,42225],{},[42,42223,42224],{},"智能补全","：基于上下文实时建议，200+ 语言",[39,42227,42228,42231],{},[42,42229,42230],{},"错误诊断 + Code Review","：自动检测语法 \u002F 逻辑错误并给修复方案",[39,42233,42234,42237],{},[42,42235,42236],{},"设计稿转代码","：Figma 直转响应式 CSS，95%+ 还原率",[39,42239,42240,42243],{},[42,42241,42242],{},"128K 上下文","：跨文件项目支持，自动选关联代码",[39,42245,42246,42248],{},[42,42247,24253],{},"：国内首家 Copilot 接 Model Context Protocol",[39,42250,42251,42254],{},[42,42252,42253],{},"WeChat 生态","：小程序 \u002F 公众号 \u002F 腾讯云 SDK 深度优化",[39,42256,42257,42260],{},[42,42258,42259],{},"IDE 覆盖","：VS Code \u002F PyCharm \u002F IntelliJ \u002F Xcode \u002F WebStorm \u002F GoLand",[39,42262,42263,42266],{},[42,42264,42265],{},"混元 + DeepSeek V3 路由","：按任务复杂度自动选模型",[21,42268,42270],{"id":42269},"价格2026-05-15-后新计费","价格（2026-05-15 后新计费）",[366,42272,42273,42289],{},[369,42274,42275],{},[372,42276,42277,42280,42283,42286],{},[375,42278,42279],{},"版本",[375,42281,42282],{},"月付",[375,42284,42285],{},"年付",[375,42287,42288],{},"含 credits",[390,42290,42291,42304,42318,42332],{},[372,42292,42293,42296,42299,42301],{},[395,42294,42295],{},"个人体验版",[395,42297,42298],{},"免费（限频）",[395,42300,437],{},[395,42302,42303],{},"500\u002F月",[372,42305,42306,42309,42312,42315],{},[395,42307,42308],{},"个人专业版",[395,42310,42311],{},"58 元\u002F月",[395,42313,42314],{},"696 元\u002F年",[395,42316,42317],{},"2,000\u002F月（500 体验 + 1,500 专业）",[372,42319,42320,42323,42326,42329],{},[395,42321,42322],{},"SaaS 企业版（旗舰）",[395,42324,42325],{},"198 元\u002F席\u002F月",[395,42327,42328],{},"2,376 元\u002F席\u002F年",[395,42330,42331],{},"2,000\u002F席 团队池化",[372,42333,42334,42337,42340,42343],{},[395,42335,42336],{},"专有云企业版（专享）",[395,42338,42339],{},"316 元\u002F席\u002F月（100 席起）",[395,42341,42342],{},"3,792 元\u002F席\u002F年",[395,42344,42331],{},[26,42346,42347,42350],{},[42,42348,42349],{},"加量包","：个人 1,000 credits = 38 元（1 月）；企业 2,000–200,000 credits 半年期。",[130,42352,42353],{},[26,42354,42355],{},"2026-05-15 至 2026-08-14 购旗舰版送首月 2,000 额外 credits\u002Flicense。",[21,42357,42359],{"id":42358},"实测小程序-spring-boot-项目","实测（小程序 + Spring Boot 项目）",[26,42361,42362],{},[42,42363,143],{},[36,42365,42366,42369,42372,42375,42378],{},[39,42367,42368],{},"微信小程序场景：写\"加一个用户积分 + 签到功能\"，Craft 5 分钟出完整页面 + 后端接口 + WX SDK 调用",[39,42370,42371],{},"设计稿转代码确实接近 95%——拉一个 Figma 链接，输出的 Tailwind\u002FCSS 几乎不用改 padding\u002Fmargin",[39,42373,42374],{},"中文 prompt 识别准确、注释生成质量高于 Copilot",[39,42376,42377],{},"私有化 + WorkBuddy 移动端组合，对腾讯云客户友好",[39,42379,42380],{},"MCP 接入：腾讯系 + 海外 MCP 服务器都能跑",[26,42382,42383],{},[42,42384,168],{},[36,42386,42387,42390,42393,42396,42399],{},[39,42388,42389],{},"老用户 2026-05 涨价后部分人转 Cursor \u002F Copilot；冷启动新人不痛",[39,42391,42392],{},"credits 团队池化要管控：1 人重度任务会蚕食全队额度",[39,42394,42395],{},"设计稿转代码对超复杂动效仍要手调",[39,42397,42398],{},"海外用户访问偶发 CDN 抖动",[39,42400,42401],{},"Mac Xcode 插件功能完整度弱于 VS Code",[21,42403,936],{"id":936},[630,42405,42406,42409,42412,42415,42418,42421],{},[39,42407,42408],{},"codebuddy.ai 注册（微信 \u002F QQ \u002F 邮箱），赠 500 credits 体验",[39,42410,42411],{},"VS Code \u002F JetBrains 装 \"CodeBuddy\" 插件",[39,42413,42414],{},"设置选模型（混元 \u002F DeepSeek V3 \u002F 路由）",[39,42416,42417],{},"重度场景：开 Craft 模式，描述要做什么",[39,42419,42420],{},"设计稿：粘 Figma 链接 → Generate",[39,42422,42423],{},"重度：升级专业版 58 元\u002F月 或 加量包 38 元 1,000 credits",[21,42425,364],{"id":364},[366,42427,42428,42444],{},[369,42429,42430],{},[372,42431,42432,42434,42436,42439,42441],{},[375,42433,377],{},[375,42435,42196],{},[375,42437,42438],{},"Comate",[375,42440,41418],{},[375,42442,42443],{},"CodeGeeX",[390,42445,42446,42461,42478,42493,42506,42520],{},[372,42447,42448,42450,42453,42456,42458],{},[395,42449,11157],{},[395,42451,42452],{},"混元 + DeepSeek V3",[395,42454,42455],{},"文心大模型",[395,42457,39754],{},[395,42459,42460],{},"GLM-5.1",[372,42462,42463,42466,42469,42472,42475],{},[395,42464,42465],{},"个人月费",[395,42467,42468],{},"58 元",[395,42470,42471],{},"59 元",[395,42473,42474],{},"免费起",[395,42476,42477],{},"免费 \u002F 49",[372,42479,42480,42483,42486,42489,42491],{},[395,42481,42482],{},"自主 Agent",[395,42484,42485],{},"✅ Craft",[395,42487,42488],{},"✅ Zulu",[395,42490,1100],{},[395,42492,443],{},[372,42494,42495,42497,42500,42502,42504],{},[395,42496,1436],{},[395,42498,42499],{},"✅ 国内首家",[395,42501,1100],{},[395,42503,1100],{},[395,42505,1100],{},[372,42507,42508,42510,42513,42516,42518],{},[395,42509,42236],{},[395,42511,42512],{},"✅ 95%",[395,42514,42515],{},"✅ 92%",[395,42517,440],{},[395,42519,443],{},[372,42521,42522,42525,42528,42531,42534],{},[395,42523,42524],{},"生态深耕",[395,42526,42527],{},"腾讯 \u002F 微信小程序",[395,42529,42530],{},"百度 \u002F 企业",[395,42532,42533],{},"阿里云",[395,42535,42536],{},"智谱开源",[21,42538,521],{"id":521},[36,42540,42541,42547,42553,42559,42565],{},[39,42542,42543,42546],{},[42,42544,42545],{},"涨价后比性价比","：和 Comate 59 元 \u002F GLM Coding Plan 49 元几乎贴脸，对比时拿 credits 实际跑量比较",[39,42548,42549,42552],{},[42,42550,42551],{},"团队池化设 cap","：旗舰版 2,000\u002F席团队池化，重度 dev 跑 Craft 一天 600+ credits 常见，建议人均 cap",[39,42554,42555,42558],{},[42,42556,42557],{},"Xcode 插件功能差异","：iOS 团队优先用 VS Code + Xcode 双开",[39,42560,42561,42564],{},[42,42562,42563],{},"Figma 转代码 review 关键","：动效 \u002F 自定义组件仍需人工调",[39,42566,42567,42570],{},[42,42568,42569],{},"2026-05 计费迁移","：老用户分阶段切换，注意核对积分余额结转",[21,42572,575],{"id":574},[36,42574,42575,42578,42581,42584,42587,42590,42593],{},[39,42576,42577],{},"✅ 腾讯系业务 \u002F 微信小程序 \u002F 公众号开发",[39,42579,42580],{},"✅ 国内企业需要私有化部署",[39,42582,42583],{},"✅ 设计稿转代码刚需团队",[39,42585,42586],{},"✅ 想用混元 \u002F DeepSeek V3 国产模型",[39,42588,42589],{},"❌ 海外纯 Cursor \u002F Copilot 重度用户",[39,42591,42592],{},"❌ Mac Xcode 重度且不愿双 IDE",[39,42594,42595],{},"❌ 对腾讯生态依赖极低、有现成 Comate \u002F 通义订阅",[21,42597,604],{"id":604},[36,42599,42600,42606,42612,42618],{},[39,42601,42602],{},[610,42603,42605],{"href":42604},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcomate","Comate 评测",[39,42607,42608],{},[610,42609,42611],{"href":42610},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Ftongyi-lingma","通义灵码 评测",[39,42613,42614],{},[610,42615,42617],{"href":42616},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcodegeex","CodeGeeX 评测",[39,42619,42620],{},[610,42621,42623],{"href":42622},"\u002Fplaybook\u002Frefactor\u002Flarge-refactor-with-ai-agent","AI 大型重构 Playbook",[21,42625,628],{"id":628},[630,42627,42628,42635,42642],{},[39,42629,42630,42631],{},"CodeBuddy 官方定价（中国版，2026-05-14）",[610,42632,42633],{"href":42633,"rel":42634},"https:\u002F\u002Fwww.codebuddy.cn\u002Fdocs\u002Fide\u002FAccount\u002Fpricing",[639],[39,42636,42637,42638],{},"CodeBuddy 官方定价（国际版，2026-05-09）",[610,42639,42640],{"href":42640,"rel":42641},"https:\u002F\u002Fwww.codebuddy.ai\u002Fdocs\u002Fzh\u002Fide\u002FAccount\u002Fpricing",[639],[39,42643,42644,42645],{},"StackViv — CodeBuddy 评测 2026 ",[610,42646,42647],{"href":42647,"rel":42648},"https:\u002F\u002Fstackviv.ai\u002Fai-tools\u002Fcodebuddy",[639],{"title":202,"searchDepth":250,"depth":250,"links":42650},[42651,42652,42653,42654,42655,42656,42657,42658,42659,42660],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":42269,"depth":224,"text":42270},{"id":42358,"depth":224,"text":42359},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcodebuddy.webp","CodeBuddy 真实评测：腾讯混元 + DeepSeek V3 驱动，2026-05-15 切到新计费：个人专业版 58 元\u002F月（含 2,000 credits）\u002F SaaS 企业版 198 元\u002F席\u002F月，与 WorkBuddy 账号 \u002F 积分共享。Craft 模式自主跑多文件项目 + 128K 上下文 + 设计稿转代码。",[42664,42667,42670,42673],{"q":42665,"a":42666},"2026-05 那次涨价是什么情况？","2026-05-15 起新计费：体验版限频、个人专业版从原低价 49 元上调至 58 元\u002F月（赠 2,000 credits）；企业版 198 元\u002F席\u002F月新增团队池化 + 管理控制台。已有老用户分阶段切换，新用户 2026-05-15 后直接按新价。",{"q":42668,"a":42669},"CodeBuddy 和 WorkBuddy 什么关系？","同账号、积分共享。CodeBuddy = IDE \u002F 插件 \u002F CLI 形态、面向编码；WorkBuddy = 通用 AI 工作台（含小程序版 \u002F 移动端）。订阅一份套餐两端通用。",{"q":42671,"a":42672},"Craft 模式好用吗？","腾讯版的 Cursor Composer：填一段自然语言，自动出多文件项目 + 单测 + 优化建议。在熟悉的微信小程序 \u002F 腾讯云 SDK 场景下完成度高；通用 Web 场景仍略逊 Cursor。",{"q":42674,"a":42675},"200+ 语言是真的吗？","对常用 30 种语言（Python\u002FJS\u002FTS\u002FJava\u002FGo\u002FKotlin\u002FSwift 等）完整覆盖；剩余冷门语言更多是补全级别支持，深度功能较弱。",[696,697],{},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcodebuddy",[22299,22300,42680,42681,42682],"intellij","pycharm","xcode",[42684,42687,42691,42694,42697],{"plan":42295,"price":12512,"credits":42685,"notes":42686},"500\u002F月（限频）","对话频率受限",{"plan":42308,"price":42688,"credits":42689,"notes":42690},"58 元\u002F月（年 696）","2,000\u002F月","对话不限频；CodeBuddy + WorkBuddy 共享积分",{"plan":42322,"price":42325,"credits":42692,"notes":42693},"2,000\u002F席 团队池","1 席起购、统一计费",{"plan":42336,"price":42695,"credits":42692,"notes":42696},"316 元\u002F席\u002F月","100 席起、私有部署",{"plan":42698,"price":42699,"credits":42700,"notes":42701},"加量包 1k","38 元（1 个月）","1,000","个人专业版可单买","免费体验版 \u002F 个人专业版 58 元·月 \u002F SaaS 企业版 198 元·席·月 \u002F 专享版 316 元·席·月",[22315,42704],"review\u002Fai-code-review-workflow",[42706,42707,42708],"codebuddy-deep-review","copilot-four-comparison","trae-deep-review",{"power":257,"ux":257,"price":257,"cn_support":264,"stability":257},{"title":42196,"description":42662},"CodeBuddy 评测 2026：AI 编程助手，代码审查与自动补全","coding\u002Fcopilot\u002Fcodebuddy",[42714,42716,42718],{"name":42715,"url":42633,"accessed":732},"CodeBuddy 官方定价（中国版）",{"name":42717,"url":42640,"accessed":732},"CodeBuddy 官方定价（国际版）",{"name":42719,"url":42647,"accessed":732},"StackViv — CodeBuddy 评测 2026","tools\u002Fcoding\u002Fcopilot\u002Fcodebuddy","腾讯出品的 AI 代码编辑器，混元 + DeepSeek 双模型，Craft 自主 Agent + 200+ 语言",[42173,14338,42723,17190,17191,1392,42724,17189],"tencent","design-to-code","腾讯生态最强 Copilot，WeChat 小程序 \u002F 腾讯云组合优势明显，Craft 自主 Agent 完成度对标 Cursor Composer。海外纯 Cursor 用户不必切，但腾讯系业务 \u002F 小程序团队强推。","https:\u002F\u002Fwww.codebuddy.ai","6cCa_bx2IzgC-60BA4pu9XO6Rwifj6ScV21Y2G3VzwI",{"id":42729,"title":42443,"alternatives":42730,"api_compatible":16,"body":42731,"category":42173,"chinese_friendly":264,"cover":43146,"description":43147,"domestic":680,"extension":681,"faq":43148,"free":680,"github":16,"languages":43161,"lastVerified":16,"meta":43162,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":42616,"pillar":22297,"platforms":43163,"priceTable":43165,"pricing":43186,"published":720,"relatedPlaybooks":43187,"relatedReviews":16,"score":43188,"self_host":680,"seo":43189,"seoTitle":43190,"slug":42199,"sources":43191,"stem":43198,"suitable":16,"tagline":43199,"tags":43200,"updated":732,"verdict":43203,"website":43204,"__hash__":43205},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcodegeex.md",[21827,42198,41792,42712],{"type":18,"value":42732,"toc":43134},[42733,42735,42738,42741,42743,42792,42794,42799,42856,42859,42863,42867,42884,42888,42905,42907,42930,42932,43028,43030,43062,43064,43087,43089,43109,43111],[21,42734,24],{"id":23},[26,42736,42737],{},"CodeGeeX 是清华系智谱 AI 的免费 AI 编程助手，VS Code Marketplace 装机量 127 万+，13B 参数多语言代码模型起家。2026 年体系升级：底层接入 GLM-5.1（LMArena 编程开源第一、全球第三、SWE-bench Verified 77.8），并推出 GLM Coding Plan 套餐（49 元\u002F月起）让你在 Claude Code \u002F Cursor \u002F Cline 等 20+ 编程工具里复用同一额度。",[26,42739,42740],{},"适合：国内个人开发者零成本上手、想用国产模型 + 海外工具组合的重度 dev、企业想私有化部署开源 Copilot。不适合：纯英文海外团队、追求 Sonnet \u002F Opus 旗舰输出质量上限的极重度用户。",[21,42742,34],{"id":34},[36,42744,42745,42751,42757,42763,42769,42775,42781,42786],{},[39,42746,42747,42750],{},[42,42748,42749],{},"代码生成 \u002F 补全","：单行 \u002F 多行 \u002F 函数级 \u002F 注释生成代码",[39,42752,42753,42756],{},[42,42754,42755],{},"代码翻译","：跨语言（Java → Python \u002F C++ → Go 等）",[39,42758,42759,42762],{},[42,42760,42761],{},"自动注释 + 代码解释","：右键菜单一键生成",[39,42764,42765,42768],{},[42,42766,42767],{},"智能问答（Ask CodeGeeX）","：Pro \u002F Lite 模型切换",[39,42770,42771,42774],{},[42,42772,42773],{},"单元测试生成 + Code Review","：选中代码右键即可",[39,42776,42777,42780],{},[42,42778,42779],{},"工具箱 \u002F Code Interpreter","：文件处理 \u002F 数据分析 \u002F 图表生成 \u002F 图像处理",[39,42782,42783],{},[42,42784,42785],{},"100+ 编程语言、VS Code \u002F JetBrains \u002F HBuilderX \u002F Open VSX",[39,42787,42788,42791],{},[42,42789,42790],{},"开源模型 CodeGeeX4-ALL-9B","：GitHub THUDM\u002FCodeGeeX4",[21,42793,21878],{"id":21877},[26,42795,42796,5819],{},[42,42797,42798],{},"插件本身免费",[366,42800,42801,42814],{},[369,42802,42803],{},[372,42804,42805,42808,42810,42812],{},[375,42806,42807],{},"GLM Coding Plan",[375,42809,108],{},[375,42811,23554],{},[375,42813,13520],{},[390,42815,42816,42830,42843],{},[372,42817,42818,42821,42824,42827],{},[395,42819,42820],{},"Lite",[395,42822,42823],{},"49 元\u002F月（季 44.1）",[395,42825,42826],{},"~400 Prompts\u002F周",[395,42828,42829],{},"个人轻度",[372,42831,42832,42834,42837,42840],{},[395,42833,849],{},[395,42835,42836],{},"149 元\u002F月（季 134.1）",[395,42838,42839],{},"~2,000 Prompts\u002F周 + MCP",[395,42841,42842],{},"主力 dev",[372,42844,42845,42847,42850,42853],{},[395,42846,855],{},[395,42848,42849],{},"469 元\u002F月（季 422.1）",[395,42851,42852],{},"~8,000 Prompts\u002F周 + 高峰优先",[395,42854,42855],{},"重度 \u002F 大型 Repo",[26,42857,42858],{},"Coding Plan 可在 Claude Code \u002F Cursor \u002F Cline \u002F Kilo Code \u002F OpenCode \u002F TRAE \u002F CodeBuddy \u002F Gemini CLI 等工具中通过专属 API endpoint 共享额度。",[21,42860,42862],{"id":42861},"实测中型-python-vue-项目","实测（中型 Python + Vue 项目）",[26,42864,42865],{},[42,42866,143],{},[36,42868,42869,42872,42875,42878,42881],{},[39,42870,42871],{},"个人完全免费 + 中文交互无障碍，国内开发者零门槛",[39,42873,42874],{},"Code Review 功能给出的优化建议接近资深 dev review，且支持选中变更文件做差异化分析",[39,42876,42877],{},"GLM Coding Plan Pro 149 元\u002F月，对比 Claude Pro $20 ≈ 145 元，但额度约 3 倍",[39,42879,42880],{},"单元测试生成准确度对常规 CRUD 函数足够",[39,42882,42883],{},"工具箱跑 pandas + matplotlib 图表生成顺滑",[26,42885,42886],{},[42,42887,168],{},[36,42889,42890,42893,42896,42899,42902],{},[39,42891,42892],{},"复杂多文件 Agent 任务能力弱于 Cursor \u002F Cline",[39,42894,42895],{},"Coding Plan 高峰期（14–18 点）按 3 倍系数消耗，重度需避开",[39,42897,42898],{},"Plan 额度用完无按量续费，只能等周期重置或升档",[39,42900,42901],{},"视觉编程模型 GLM-5V-Turbo 尚未全面开放",[39,42903,42904],{},"偶发企业代理网络下插件连接超时",[21,42906,936],{"id":936},[630,42908,42909,42912,42915,42918,42921,42927],{},[39,42910,42911],{},"VS Code \u002F JetBrains 市场搜 \"CodeGeeX\" 安装",[39,42913,42914],{},"注册智谱账号登录，立即可用所有免费功能",[39,42916,42917],{},"选中代码右键 → CodeGeeX → 生成注释 \u002F 单测 \u002F Code Review",[39,42919,42920],{},"重度场景：注册 GLM Coding Plan，拿到 API Key",[39,42922,42923,42924],{},"在 Claude Code \u002F Cursor 里把 Base URL 改成 ",[204,42925,42926],{},"https:\u002F\u002Fopen.bigmodel.cn\u002Fapi\u002Fcoding\u002Fpaas\u002Fv4",[39,42928,42929],{},"选模型 GLM-5.1 \u002F GLM-4.7，开始白嫖国产顶级编程模型",[21,42931,364],{"id":364},[366,42933,42934,42950],{},[369,42935,42936],{},[372,42937,42938,42940,42942,42944,42946,42948],{},[375,42939,377],{},[375,42941,42443],{},[375,42943,42438],{},[375,42945,41418],{},[375,42947,42196],{},[375,42949,39521],{},[390,42951,42952,42967,42984,42998,43014],{},[372,42953,42954,42957,42959,42961,42963,42965],{},[395,42955,42956],{},"个人价格",[395,42958,12512],{},[395,42960,42474],{},[395,42962,42474],{},[395,42964,42474],{},[395,42966,3637],{},[372,42968,42969,42971,42973,42976,42978,42981],{},[395,42970,11157],{},[395,42972,42460],{},[395,42974,42975],{},"文心",[395,42977,39754],{},[395,42979,42980],{},"Hunyuan + DeepSeek",[395,42982,42983],{},"GPT\u002FClaude",[372,42985,42986,42988,42990,42992,42994,42996],{},[395,42987,414],{},[395,42989,451],{},[395,42991,31408],{},[395,42993,31408],{},[395,42995,31408],{},[395,42997,31408],{},[372,42999,43000,43003,43006,43008,43010,43012],{},[395,43001,43002],{},"海外工具复用",[395,43004,43005],{},"✅ Coding Plan",[395,43007,31408],{},[395,43009,440],{},[395,43011,31408],{},[395,43013,31408],{},[372,43015,43016,43018,43020,43022,43024,43026],{},[395,43017,6357],{},[395,43019,24488],{},[395,43021,24488],{},[395,43023,24488],{},[395,43025,24488],{},[395,43027,22158],{},[21,43029,521],{"id":521},[36,43031,43032,43038,43044,43050,43056],{},[39,43033,43034,43037],{},[42,43035,43036],{},"GLM Coding Plan 高峰期慎用","：14–18 点 3 倍消耗，重要任务避开",[39,43039,43040,43043],{},[42,43041,43042],{},"额度硬封顶","：没有按量续费，重度用户买 Pro 或 Max 比省点更划算",[39,43045,43046,43049],{},[42,43047,43048],{},"复杂任务别只靠 CodeGeeX 插件","：多文件改 \u002F 整仓重构走 Cline + GLM Coding Plan 组合",[39,43051,43052,43055],{},[42,43053,43054],{},"企业私有化注意硬件","：CodeGeeX4-ALL-9B 推理对 GPU 显存有要求",[39,43057,43058,43061],{},[42,43059,43060],{},"海外工具接 GLM Plan 网络","：国内访问 open.bigmodel.cn 稳定；海外用户走国际节点",[21,43063,575],{"id":574},[36,43065,43066,43069,43072,43075,43078,43081,43084],{},[39,43067,43068],{},"✅ 国内个人开发者零成本上手",[39,43070,43071],{},"✅ 想用国产模型 + 海外 Agent 工具组合",[39,43073,43074],{},"✅ 企业想私有化开源 Copilot",[39,43076,43077],{},"✅ 中文项目 \u002F 中文 prompt 主力",[39,43079,43080],{},"❌ 极重度多文件 Agent + 旗舰模型刚需",[39,43082,43083],{},"❌ 高峰期密集编码且不愿避峰",[39,43085,43086],{},"❌ 纯海外团队 \u002F 无中文需求",[21,43088,604],{"id":604},[36,43090,43091,43095,43099,43103],{},[39,43092,43093],{},[610,43094,22228],{"href":22227},[39,43096,43097],{},[610,43098,42605],{"href":42604},[39,43100,43101],{},[610,43102,42611],{"href":42610},[39,43104,43105],{},[610,43106,43108],{"href":43107},"\u002Fplaybook\u002Freview\u002Fai-code-review-workflow","AI 代码评审 Playbook",[21,43110,628],{"id":628},[630,43112,43113,43120,43127],{},[39,43114,43115,43116],{},"CodeGeeX 官网（2026-06）",[610,43117,43118],{"href":43118,"rel":43119},"https:\u002F\u002Fcodegeex.cn\u002F",[639],[39,43121,43122,43123],{},"VS Code Marketplace — CodeGeeX 装机量 127 万 ",[610,43124,43125],{"href":43125,"rel":43126},"https:\u002F\u002Fmarketplace.visualstudio.com\u002Fitems?itemName=aminer.codegeex",[639],[39,43128,43129,43130],{},"AIRukou — GLM Coding Plan 详细评测（2026-05-22）",[610,43131,43132],{"href":43132,"rel":43133},"https:\u002F\u002Fwww.airukou.cn\u002Ftool\u002Fzhipu-ai-platform",[639],{"title":202,"searchDepth":250,"depth":250,"links":43135},[43136,43137,43138,43139,43140,43141,43142,43143,43144,43145],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":21877,"depth":224,"text":21878},{"id":42861,"depth":224,"text":42862},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcodegeex.webp","CodeGeeX 真实评测：智谱 AI 出品，VS Code 装机量 127 万+，个人完全免费。底层 CodeGeeX4-ALL-9B 已开源，GLM-5.1 在 LMArena 编程榜开源第一、全球第三。GLM Coding Plan 49 元\u002F月起，可在 Claude Code \u002F Cursor \u002F Cline 等 20+ 工具中复用。",[43149,43152,43155,43158],{"q":43150,"a":43151},"CodeGeeX 真的免费吗？","个人版功能完整免费，无次数限制。底层模型 CodeGeeX4-ALL-9B 已在 GitHub 开源（THUDM\u002FCodeGeeX4），可自行私有部署。",{"q":43153,"a":43154},"GLM Coding Plan 和 CodeGeeX 插件什么关系？","CodeGeeX 是 IDE 插件 \u002F 智能助手，GLM Coding Plan 是智谱开放平台的 AI 编程订阅套餐——可以让你在 Claude Code \u002F Cursor \u002F Cline \u002F Kilo Code 等 20+ 工具里用 GLM-5.1 模型，与 CodeGeeX 插件账号 \u002F 计费独立但同源。",{"q":43156,"a":43157},"GLM-5.1 编程能力如何？","LMArena 代码榜开源模型第一、全球第三；SWE-bench Verified 77.8 分，对齐 Claude Opus 4.6；价格约 Claude 的 1\u002F3。Coding Plan 高峰期（14–18 点）按 3 倍系数消耗额度。",{"q":43159,"a":43160},"和文心快码、通义灵码、CodeBuddy 比？","CodeGeeX 个人最便宜（免费）、开源最干净（模型权重开放）、生态最开放（Coding Plan 覆盖海外工具最广）。文心快码 \u002F CodeBuddy 强在企业落地与 IDC 评估，通义灵码强在阿里云生态深度。",[696,697],{},[22299,22300,43164],"hbuilderx",[43166,43170,43174,43179,43183],{"plan":43167,"price":12695,"features":43168,"notes":43169},"个人免费","代码生成 \u002F 补全 \u002F 注释 \u002F 翻译 \u002F 问答 \u002F Code Review \u002F 工具箱","无限制使用",{"plan":43171,"price":43172,"features":42826,"notes":43173},"GLM Lite","49 元\u002F月","包季 44.1 元\u002F月",{"plan":43175,"price":43176,"features":43177,"notes":43178},"GLM Pro","149 元\u002F月","~2,000 Prompts\u002F周 + MCP 全能力","包季 134.1 元\u002F月",{"plan":43180,"price":43181,"features":43182,"notes":42855},"GLM Max","469 元\u002F月","~8,000 Prompts\u002F周 + 高峰期优先",{"plan":11247,"price":13826,"features":43184,"notes":43185},"私有化 \u002F 软硬一体机 \u002F 信创栈","代码仓库级补写、问答、检索","个人免费 \u002F GLM Coding Plan 49 元·月起 \u002F 企业版定制",[28001,42704],{"power":257,"ux":257,"price":264,"cn_support":264,"stability":257},{"title":42443,"description":43147},"CodeGeeX 评测 2026：智谱 AI 开源编程助手，免费代码补全，VS Code 插件",[43192,43194,43196],{"name":43193,"url":43118,"accessed":732},"CodeGeeX 官网",{"name":43195,"url":43125,"accessed":732},"VS Code Marketplace",{"name":43197,"url":43132,"accessed":732},"AIRukou — GLM Coding Plan","tools\u002Fcoding\u002Fcopilot\u002Fcodegeex","智谱 AI 出品的开源免费 AI 编程助手，13B 多语言代码模型 + GLM-5.1 编程力登顶开源",[42173,14338,747,43201,40501,43202],"glm","free","国产免费 Copilot 第一梯队，个人零成本上手最优解。配 GLM Coding Plan，重度也能 1\u002F3 Claude Pro 价格压住成本。重度多文件 Agent 任务仍建议补 Cursor \u002F Cline。","https:\u002F\u002Fcodegeex.cn","B2RWmCRVrgpHifiJmwf3AHY2mteqKK65_qzCYtVY6Io",{"id":43207,"title":37019,"alternatives":43208,"api_compatible":16,"body":43209,"category":42173,"chinese_friendly":224,"cover":43606,"description":43607,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":43608,"lastVerified":2637,"meta":43609,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":43610,"pillar":22297,"platforms":43611,"priceTable":16,"pricing":43612,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":43613,"self_host":680,"seo":43614,"seoTitle":43615,"slug":43616,"sources":43617,"stem":43619,"suitable":16,"tagline":43620,"tags":43621,"updated":2637,"verdict":43624,"website":43591,"__hash__":43625},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcody.md",[21827,20457,1403],{"type":18,"value":43210,"toc":43593},[43211,43213,43220,43223,43225,43274,43276,43280,43322,43325,43327,43333,43350,43354,43371,43373,43401,43403,43490,43492,43524,43526,43549,43551,43557,43563,43569,43571,43579,43581,43585],[21,43212,24],{"id":23},[26,43214,43215,43216,43219],{},"Cody 是 Sourcegraph 出品的 AI 编程助手，最大卖点不是补全，而是",[42,43217,43218],{},"基于代码图谱（code graph）的精准上下文检索","。它能索引整个 monorepo 甚至跨仓库，让 AI 真正\"读懂\"你的代码库后再回答问题、生成代码。免费版就能用，Pro $9\u002F月性价比不错。",[26,43221,43222],{},"适合：大型代码库（10 万行+）开发者、需要跨仓库代码理解、企业级私有部署团队。不适合：追求极致补全速度的用户（GitHub Copilot 更快）、中文交互需求强的用户、个人小项目开发者。",[21,43224,34],{"id":34},[36,43226,43227,43233,43239,43244,43250,43256,43262,43268],{},[39,43228,43229,43232],{},[42,43230,43231],{},"代码图谱（code graph）检索","：基于 Sourcegraph 的代码搜索引擎，构建精确的调用关系 \u002F 定义 \u002F 引用图，上下文召回质量远超向量 RAG",[39,43234,43235,43238],{},[42,43236,43237],{},"跨仓库上下文","：一次问答能横跨多个仓库，适合微服务架构和大型 monorepo",[39,43240,43241,43243],{},[42,43242,2209],{},"：Claude 3.5 Sonnet、GPT-4o、Sourcegraph 自研模型可选，Pro 用户可自由切换",[39,43245,43246,43249],{},[42,43247,43248],{},"精确代码引用","：回答中附带的代码片段带文件路径 + 行号，可点击跳转，方便验证",[39,43251,43252,43255],{},[42,43253,43254],{},"命令（Commands）","：自定义快捷指令，如\"生成单元测试\"\"解释这个函数\"，可配置 prompt 模板",[39,43257,43258,43261],{},[42,43259,43260],{},"自动上下文收集","：无需手动 @ 文件，Cody 自动根据问题检索最相关代码片段注入上下文",[39,43263,43264,43267],{},[42,43265,43266],{},"VS Code \u002F JetBrains 双平台","：主流 IDE 都有插件，体验一致",[39,43269,43270,43273],{},[42,43271,43272],{},"企业版私有部署","：可接自托管 Sourcegraph 实例 + 自选模型，数据不出内网",[21,43275,108],{"id":108},[130,43277,43278],{},[26,43279,41864],{},[366,43281,43282,43293],{},[369,43283,43284],{},[372,43285,43286,43288,43290],{},[375,43287,9528],{},[375,43289,108],{},[375,43291,43292],{},"核心限制",[390,43294,43295,43304,43313],{},[372,43296,43297,43299,43301],{},[395,43298,843],{},[395,43300,707],{},[395,43302,43303],{},"每月 200 次聊天、500 次补全，基础模型",[372,43305,43306,43308,43310],{},[395,43307,849],{},[395,43309,15927],{},[395,43311,43312],{},"无限聊天 + 补全，可选 Claude \u002F GPT-4o 等高级模型",[372,43314,43315,43317,43319],{},[395,43316,833],{},[395,43318,10045],{},[395,43320,43321],{},"自托管、SSO、审计日志、自定义模型",[26,43323,43324],{},"Free 额度对个人尝鲜够用；Pro 是性价比甜点位，$9 就能用上 Claude 3.5 Sonnet。",[21,43326,2241],{"id":2240},[130,43328,43329],{},[26,43330,2246,43331],{},[42,43332,143],{},[36,43334,43335,43338,43341,43344,43347],{},[39,43336,43337],{},"跨仓库代码理解确实是杀手锏：问\"这个 API 在哪些服务被调用\"，Cody 能准确列出所有调用点，Copilot 做不到",[39,43339,43340],{},"代码图谱检索的上下文质量明显高于 RAG，回答\"瞎编\"的概率低很多",[39,43342,43343],{},"命令功能实用，团队可以共享 prompt 模板统一代码规范",[39,43345,43346],{},"免费版额度够个人日常问答，Pro 模型切换流畅",[39,43348,43349],{},"企业版自托管 + 模型自选，合规性强",[26,43351,43352],{},[42,43353,168],{},[36,43355,43356,43359,43362,43365,43368],{},[39,43357,43358],{},"补全速度和准确率不如 GitHub Copilot，补全体验偏弱",[39,43360,43361],{},"代码图谱首次索引大仓库耗时较长（百万行级 10-30 分钟）",[39,43363,43364],{},"中文提问偶尔理解偏差，英文 prompt 效果更好",[39,43366,43367],{},"免费版额度用完后降级体验明显，补全变慢",[39,43369,43370],{},"偶有索引未及时更新导致引用过时的情况",[21,43372,936],{"id":936},[630,43374,43375,43378,43381,43384,43387,43398],{},[39,43376,43377],{},"安装 VS Code 或 JetBrains 插件（搜索 \"Sourcegraph Cody\"）",[39,43379,43380],{},"注册 Sourcegraph 账号，免费版直接可用",[39,43382,43383],{},"打开项目，Cody 自动开始索引（首次稍等）",[39,43385,43386],{},"侧边栏打开 Cody Chat，直接用自然语言提问代码相关问题",[39,43388,43389,43390,43393,43394,43397],{},"使用 Commands 快捷指令（如 ",[204,43391,43392],{},"Test"," 生成测试、",[204,43395,43396],{},"Explain"," 解释代码）",[39,43399,43400],{},"需要更多额度 \u002F 高级模型：升级 Pro（$9\u002F月）",[21,43402,364],{"id":364},[366,43404,43405,43418],{},[369,43406,43407],{},[372,43408,43409,43411,43414,43416],{},[375,43410,377],{},[375,43412,43413],{},"Cody",[375,43415,34462],{},[375,43417,1058],{},[390,43419,43420,43434,43446,43456,43469,43480],{},[372,43421,43422,43425,43428,43431],{},[395,43423,43424],{},"核心优势",[395,43426,43427],{},"代码图谱检索",[395,43429,43430],{},"补全速度与准确率",[395,43432,43433],{},"IDE 级深度集成",[372,43435,43436,43439,43441,43444],{},[395,43437,43438],{},"跨仓库理解",[395,43440,14629],{},[395,43442,43443],{},"❌ 弱",[395,43445,43443],{},[372,43447,43448,43450,43452,43454],{},[395,43449,41815],{},[395,43451,2458],{},[395,43453,10213],{},[395,43455,10213],{},[372,43457,43458,43460,43463,43466],{},[395,43459,9752],{},[395,43461,43462],{},"Claude \u002F GPT-4o \u002F 自研",[395,43464,43465],{},"GPT-4o 系",[395,43467,43468],{},"Claude \u002F GPT-4o",[372,43470,43471,43473,43476,43478],{},[395,43472,108],{},[395,43474,43475],{},"Free \u002F $9",[395,43477,3637],{},[395,43479,1155],{},[372,43481,43482,43484,43486,43488],{},[395,43483,414],{},[395,43485,1100],{},[395,43487,426],{},[395,43489,426],{},[21,43491,521],{"id":521},[36,43493,43494,43500,43506,43512,43518],{},[39,43495,43496,43499],{},[42,43497,43498],{},"别拿 Cody 当主力补全工具","：补全不是它的强项，搭配 Copilot 用更合理",[39,43501,43502,43505],{},[42,43503,43504],{},"大仓库首次索引要耐心等","：别在索引未完成时评价它的回答质量",[39,43507,43508,43511],{},[42,43509,43510],{},"Free 额度规划好","：200 次聊天很快用完，重度用户直接上 Pro",[39,43513,43514,43517],{},[42,43515,43516],{},"企业版注意模型延迟","：自托管 + 本地模型推理延迟可能较高，做好网络规划",[39,43519,43520,43523],{},[42,43521,43522],{},"中文场景用英文提问","：Cody 对中文问题的代码理解准确率不如英文",[21,43525,575],{"id":574},[36,43527,43528,43531,43534,43537,43540,43543,43546],{},[39,43529,43530],{},"✅ 大型代码库（10 万行+）跨仓库代码理解",[39,43532,43533],{},"✅ 微服务架构，需要追踪 API 跨服务调用",[39,43535,43536],{},"✅ 企业级私有部署 + 数据合规需求",[39,43538,43539],{},"✅ 需要精确代码引用和可验证回答",[39,43541,43542],{},"❌ 追求极致补全体验（用 GitHub Copilot）",[39,43544,43545],{},"❌ 个人小项目（杀鸡用牛刀）",[39,43547,43548],{},"❌ 中文为主的交互场景",[21,43550,2552],{"id":2551},[26,43552,43553,43556],{},[42,43554,43555],{},"Q: Cody 的代码图谱和普通 RAG 有什么区别？","\nA: 普通向量 RAG 靠语义相似度召回，经常漏关键调用关系。Cody 基于 Sourcegraph 的代码搜索引擎构建精确的 AST 级调用图，能追踪定义 → 引用 → 调用链，上下文召回质量高一个量级。",[26,43558,43559,43562],{},[42,43560,43561],{},"Q: 免费版够用吗？","\nA: 个人轻度使用够。200 次聊天 \u002F 月适合偶尔查代码、问问题。但如果你每天都用 AI 辅助编码，一周就会用完，建议直接上 Pro。",[26,43564,43565,43568],{},[42,43566,43567],{},"Q: 能否替代 Copilot？","\nA: 不能完全替代。Cody 强在理解和问答，弱在补全。最佳实践是 Cody 做代码理解 + Copilot 做补全，两者互补。",[21,43570,604],{"id":604},[26,43572,43573,2589,43575,2589,43577],{},[610,43574,37015],{"href":37014},[610,43576,37023],{"href":37022},[610,43578,36612],{"href":42141},[21,43580,628],{"id":628},[130,43582,43583],{},[26,43584,2604],{},[36,43586,43587],{},[39,43588,43589],{},[610,43590,2613],{"href":43591,"rel":43592},"https:\u002F\u002Fsourcegraph.com\u002Fcody",[639],{"title":202,"searchDepth":250,"depth":250,"links":43594},[43595,43596,43597,43598,43599,43600,43601,43602,43603,43604,43605],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcody.webp","Cody 真实评测：Sourcegraph 出品的 AI 编程助手，基于代码图谱（code graph）提供跨仓库代码理解 + 上下文问答 + 代码生成。支持 VS Code\u002FJetBrains，Free + Pro $9\u002F月，适合大型代码库跨仓库代码搜索和理解场景。",[697],{},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcody",[1349,1348,1350],"Free \u002F Pro $9\u002Fmo \u002F Enterprise",{"power":257,"ux":250,"price":257,"cn_support":224,"stability":250},{"title":37019,"description":43607},"Cody - Sourcegraph AI 编程助手评测 | AIHO","coding\u002Fcopilot\u002Fcody",[43618],{"title":2613,"url":43591},"tools\u002Fcoding\u002Fcopilot\u002Fcody","Sourcegraph 出品，基于代码图谱的 AI 编程助手",[42173,43622,43623,745],"code-search","sourcegraph","大型单体仓库 + 跨仓库代码理解的首选，代码图谱检索精度碾压 RAG 类工具；补全和生成能力一般，需配合其他工具补齐代码产出。","RmMxc_UwM5y3kSljzEBwnWuxX091c-RS_hbwE4VsLBI",{"id":43627,"title":43628,"alternatives":43629,"api_compatible":16,"body":43630,"category":42173,"chinese_friendly":264,"cover":44053,"description":44054,"domestic":680,"extension":681,"faq":44055,"free":680,"github":16,"languages":44067,"lastVerified":16,"meta":44068,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":42604,"pillar":22297,"platforms":44069,"priceTable":44070,"pricing":44090,"published":720,"relatedPlaybooks":44091,"relatedReviews":44092,"score":44093,"self_host":253,"seo":44094,"seoTitle":44095,"slug":42198,"sources":44096,"stem":44103,"suitable":16,"tagline":44104,"tags":44105,"updated":732,"verdict":44110,"website":44111,"__hash__":44112},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fcomate.md","文心快码 Baidu Comate",[42712,41792,42199,21827],{"type":18,"value":43631,"toc":44041},[43632,43634,43641,43644,43646,43687,43689,43746,43749,43753,43757,43774,43778,43795,43797,43817,43819,43936,43938,43970,43972,43995,43997,44016,44018],[21,43633,24],{"id":23},[26,43635,43636,43637,43640],{},"文心快码（Baidu Comate）是百度基于文心大模型打造的 AI 编程助手，在 IDC 2026 年度《AI 代码助手评估》中 9 项维度斩获 8 项满分、C++ 生成质量行业第一。差异化是 ",[42,43638,43639],{},"SPEC 规范驱动"," ——白盒化开发流程，让 AI 的每一步思维都可 review，避免黑盒「氛围编程」。已在顺丰、吉利、喜马拉雅等大客户规模化落地，44% 代码采纳率（喜马拉雅实测）。",[26,43642,43643],{},"适合：国内企业团队、对代码合规 \u002F 质量可控要求高、需要私有化 \u002F VPC 部署、C++ \u002F 后端为主的研发团队。不适合：纯英文海外团队、个人 prototyping（专业版 59 元\u002F月与 GLM Coding Plan 49 元价位贴脸竞争）。",[21,43645,34],{"id":34},[36,43647,43648,43654,43659,43665,43670,43676,43682],{},[39,43649,43650,43653],{},[42,43651,43652],{},"多智能体协同","：Zulu 编程智能体 + 子智能体并行任务拆解",[39,43655,43656,43658],{},[42,43657,43639],{},"：Doc → Tasks → Changes → Preview 白盒流水",[39,43660,43661,43664],{},[42,43662,43663],{},"代码补全 + Inline Chat","：行级 \u002F 函数级 \u002F 超级代码补全 + 行内对话",[39,43666,43667,43669],{},[42,43668,6053],{},"：文心 \u002F DeepSeek \u002F ChatGLM \u002F Kimi-K2.6（2026-04 首发支持）",[39,43671,43672,43675],{},[42,43673,43674],{},"独立 AI IDE","：编辑 \u002F 问答 \u002F 终端 + 前端实时预览 + 元素级调试",[39,43677,43678,43681],{},[42,43679,43680],{},"Figma 转代码","：92% 还原率",[39,43683,43684,43686],{},[42,43685,17278],{},"：私有化 \u002F VPC \u002F 混合云 \u002F 模型微调 \u002F 审计日志",[21,43688,21878],{"id":21877},[366,43690,43691,43702],{},[369,43692,43693],{},[372,43694,43695,43697,43699],{},[375,43696,12497],{},[375,43698,108],{},[375,43700,43701],{},"含什么",[390,43703,43704,43714,43724,43735],{},[372,43705,43706,43709,43711],{},[395,43707,43708],{},"个人标准版",[395,43710,12512],{},[395,43712,43713],{},"补全 \u002F 单测 \u002F Spec \u002F Figma 转代码",[372,43715,43716,43718,43721],{},[395,43717,42308],{},[395,43719,43720],{},"59 元\u002F月（原 100）",[395,43722,43723],{},"+ ¥55 智能体额度 + SOTA 模型 + 500 Zulu\u002F月",[372,43725,43726,43729,43732],{},[395,43727,43728],{},"企业专业版",[395,43730,43731],{},"150 元\u002F人\u002F月",[395,43733,43734],{},"+ 安全管控 + 数据报表 + 成员权限",[372,43736,43737,43740,43743],{},[395,43738,43739],{},"企业专属版",[395,43741,43742],{},"2,500 元\u002F人\u002F年（100 人起）",[395,43744,43745],{},"+ 私有化 + 微调 + 审计日志",[26,43747,43748],{},"Zulu 加量包：50 \u002F 100 \u002F 500 次 = 30 \u002F 60 \u002F 300 元（优惠后 18 \u002F 33 \u002F 150）。",[21,43750,43752],{"id":43751},"实测中型-c-vue-项目","实测（中型 C++ + Vue 项目）",[26,43754,43755],{},[42,43756,143],{},[36,43758,43759,43762,43765,43768,43771],{},[39,43760,43761],{},"C++ 生成质量在国产里第一档：复杂模板 \u002F RAII \u002F 智能指针处理正确率明显高",[39,43763,43764],{},"SPEC 模式做后端模块开发：先生成 Doc → 拆 Tasks → 一步步生成代码，整段 PR 出来注释 + 文档齐",[39,43766,43767],{},"多智能体协同跑大任务有用：让 Zulu 拆，子 agent 并行写测试",[39,43769,43770],{},"Kimi-K2.6 + 文心组合，复杂业务推理稳",[39,43772,43773],{},"喜马拉雅 44% 采纳率不是营销话术——大型业务场景下确实能感受到",[26,43775,43776],{},[42,43777,168],{},[36,43779,43780,43783,43786,43789,43792],{},[39,43781,43782],{},"个人专业版 59 元\u002F月对个人偏贵（每月只送 500 快速请求 + ¥55 额度）",[39,43784,43785],{},"Eclipse 等老 IDE 不支持，遗留项目要先迁",[39,43787,43788],{},"智能体额度算法不透明，超量买加量包性价比一般",[39,43790,43791],{},"海外开发者访问偶发抖动",[39,43793,43794],{},"SPEC 流程对小项目是额外开销",[21,43796,936],{"id":936},[630,43798,43799,43802,43805,43808,43811,43814],{},[39,43800,43801],{},"comate.baidu.com 注册（百度账号），免费版立即可用",[39,43803,43804],{},"VS Code \u002F JetBrains 装 \"Comate\" 插件",[39,43806,43807],{},"设置勾常用语言、上传 .editorconfig 同步团队代码风格",[39,43809,43810],{},"体验：注释 → 代码、选中代码右键 Zulu \u002F Spec 模式",[39,43812,43813],{},"企业：买专业版后开企业空间，邀成员、配私域知识库",[39,43815,43816],{},"重度后端：把 Kimi-K2.6 \u002F DeepSeek 模型切换加上",[21,43818,364],{"id":364},[366,43820,43821,43835],{},[369,43822,43823],{},[372,43824,43825,43827,43829,43831,43833],{},[375,43826,377],{},[375,43828,42438],{},[375,43830,42196],{},[375,43832,41418],{},[375,43834,42443],{},[390,43836,43837,43851,43864,43879,43891,43905,43922],{},[372,43838,43839,43841,43844,43847,43849],{},[395,43840,42956],{},[395,43842,43843],{},"免费 \u002F 59",[395,43845,43846],{},"免费 \u002F 58",[395,43848,42474],{},[395,43850,42477],{},[372,43852,43853,43856,43858,43860,43862],{},[395,43854,43855],{},"企业起价",[395,43857,43731],{},[395,43859,42325],{},[395,43861,13826],{},[395,43863,13826],{},[372,43865,43866,43869,43872,43875,43877],{},[395,43867,43868],{},"私有化",[395,43870,43871],{},"✅ VPC \u002F 混合云",[395,43873,43874],{},"✅ 专享版",[395,43876,1100],{},[395,43878,1100],{},[372,43880,43881,43883,43885,43887,43889],{},[395,43882,42482],{},[395,43884,42488],{},[395,43886,42485],{},[395,43888,1100],{},[395,43890,443],{},[372,43892,43893,43896,43899,43901,43903],{},[395,43894,43895],{},"SPEC 流水",[395,43897,43898],{},"✅ 杀手锏",[395,43900,443],{},[395,43902,440],{},[395,43904,443],{},[372,43906,43907,43910,43913,43916,43919],{},[395,43908,43909],{},"大客户落地",[395,43911,43912],{},"顺丰 \u002F 吉利 \u002F 喜马",[395,43914,43915],{},"微信 \u002F 腾讯系",[395,43917,43918],{},"信也 \u002F 阿里系",[395,43920,43921],{},"智谱 \u002F 信创",[372,43923,43924,43927,43930,43932,43934],{},[395,43925,43926],{},"IDC 评估",[395,43928,43929],{},"8\u002F9 满分",[395,43931,437],{},[395,43933,437],{},[395,43935,437],{},[21,43937,521],{"id":521},[36,43939,43940,43946,43952,43958,43964],{},[39,43941,43942,43945],{},[42,43943,43944],{},"个人开发性价比看额度","：59 元\u002F月只送 500 Zulu，超量买加量包要算",[39,43947,43948,43951],{},[42,43949,43950],{},"SPEC 模式别用在小项目","：流程过重，单文件改 \u002F 快速 prototyping 用补全模式",[39,43953,43954,43957],{},[42,43955,43956],{},"Eclipse 用户先迁 IDE","：Comate 不支持，建议 VS Code 或 JetBrains",[39,43959,43960,43963],{},[42,43961,43962],{},"企业团队先 PoC","：私有化部署 + 文心代码大模型组合，前期投入较大",[39,43965,43966,43969],{},[42,43967,43968],{},"代码采纳率 44% 是企业深度集成","：个人开发感受没那么明显",[21,43971,575],{"id":574},[36,43973,43974,43977,43980,43983,43986,43989,43992],{},[39,43975,43976],{},"✅ 国内企业团队、合规要求高",[39,43978,43979],{},"✅ C++ \u002F 后端为主的研发",[39,43981,43982],{},"✅ 需要私有化 \u002F VPC \u002F 混合云部署",[39,43984,43985],{},"✅ 团队需要 SPEC 白盒化流程",[39,43987,43988],{},"❌ 海外纯英文团队",[39,43990,43991],{},"❌ 个人轻度 \u002F 偶尔 vibe coding（用免费版即可）",[39,43993,43994],{},"❌ 完全没有合规需求的小团队",[21,43996,604],{"id":604},[36,43998,43999,44004,44008,44012],{},[39,44000,44001],{},[610,44002,44003],{"href":42678},"CodeBuddy 评测",[39,44005,44006],{},[610,44007,42611],{"href":42610},[39,44009,44010],{},[610,44011,42617],{"href":42616},[39,44013,44014],{},[610,44015,43108],{"href":43107},[21,44017,628],{"id":628},[630,44019,44020,44027,44034],{},[39,44021,44022,44023],{},"文心快码官方定价（2026-01-30）",[610,44024,44025],{"href":44025,"rel":44026},"https:\u002F\u002Fcomate.baidu.com\u002Fzh\u002Fpage\u002Fvew71mux9gm",[639],[39,44028,44029,44030],{},"NavCN — 文心快码完整测评（2026-05-19）",[610,44031,44032],{"href":44032,"rel":44033},"https:\u002F\u002Fwww.navcn.cn\u002Ftool\u002F593.html",[639],[39,44035,44036,44037],{},"百度智能云 Comate 公有云定价 ",[610,44038,44039],{"href":44039,"rel":44040},"https:\u002F\u002Fcloud.baidu.com\u002Fdoc\u002FCOMATE\u002Fs\u002Frlnvnio4a",[639],{"title":202,"searchDepth":250,"depth":250,"links":44042},[44043,44044,44045,44046,44047,44048,44049,44050,44051,44052],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":21877,"depth":224,"text":21878},{"id":43751,"depth":224,"text":43752},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcomate.webp","文心快码（Baidu Comate）真实评测：百度基于文心大模型的 AI 编程助手，IDC 2026 报告 9 项维度 8 项满分、C++ 生成质量行业第一。SPEC 规范驱动『杀手锏』+ Zulu 智能体 + 多模型（含 Kimi-K2.6 \u002F DeepSeek \u002F GLM）。个人标准版免费 \u002F 专业版 59 元\u002F月 \u002F 企业专业版 150 元\u002F人\u002F月。",[44056,44059,44062,44064],{"q":44057,"a":44058},"IDC 8 项满分是真的吗？是什么意义？","IDC 2026 年度《AI 代码助手评估》9 项维度（智能体能力 \u002F 工程化落地 \u002F 企业安全 \u002F 多语言 \u002F 上下文 \u002F 模型 \u002F 私有化 \u002F 数据治理 \u002F 客户成功）中 Comate 拿 8 项满分，C++ 生成质量行业第一。这是国内目前唯一拿到 8\u002F9 的产品。",{"q":44060,"a":44061},"SPEC 规范驱动到底是什么？","白盒化开发流程：Doc → Tasks → Changes → Preview。AI 先写需求文档 → 拆任务 → 生成变更 → 给预览，每一步可 review 可改，避免『氛围编程』黑盒。对企业代码合规价值大，对个人 prototyping 是额外步骤。",{"q":22292,"a":44063},"海外个人开发 Cursor 仍最强；国内企业团队（多人协同、要合规、私有化部署），Comate 的 SPEC + 私有化 + 文心代码大模型组合更扎实。顺丰、吉利、喜马拉雅都已规模化用。",{"q":44065,"a":44066},"44% 代码采纳率含金量？","在喜马拉雅实际业务场景中代码采纳率 44%——比 Copilot 公开数据 30% 高。但这是企业级深度集成场景，个人开发可能感受不到同等差距。",[696,697],{},[22299,22300,42680,42681],[44071,44074,44078,44082,44085],{"plan":43708,"price":12512,"features":44072,"notes":44073},"代码补全 \u002F 单测 \u002F Spec 模式 \u002F Figma 转代码","完全免费、基础功能",{"plan":42308,"price":44075,"features":44076,"notes":44077},"59 元\u002F月（原价 100）","标准版 + ¥55 智能体额度\u002F月 + SOTA 模型优先","每月赠 500 Zulu 快速请求",{"plan":43728,"price":44079,"features":44080,"notes":44081},"150 元\u002F人\u002F月（季 450 \u002F 年 1,500）","专业版 + 企业安全 + 成员管理 + 数据报表","团队池 + License 管理",{"plan":43739,"price":43742,"features":44083,"notes":44084},"VPC \u002F 混合云 \u002F 私有化 + 模型微调 + 审计日志","金融 \u002F 政企合规",{"plan":44086,"price":44087,"features":44088,"notes":44089},"Zulu 加量包","30 元 \u002F 60 元 \u002F 300 元","50 \u002F 100 \u002F 500 次快速 Zulu 请求","优惠后 18 \u002F 33 \u002F 150 元","个人免费 \u002F 专业版 59 元·月 \u002F 企业专业版 150 元·人·月 \u002F 私有化定制",[42704,22315],[42706,42707],{"power":257,"ux":257,"price":257,"cn_support":264,"stability":264},{"title":43628,"description":44054},"Comate 评测 2026：百度 AI 编程助手，文心大模型驱动，国内免费使用",[44097,44099,44101],{"name":44098,"url":44032,"accessed":732},"NavCN — 文心快码完整测评",{"name":44100,"url":44025,"accessed":732},"文心快码官方定价",{"name":44102,"url":44039,"accessed":732},"百度智能云 Comate 公有云定价","tools\u002Fcoding\u002Fcopilot\u002Fcomate","百度文心大模型驱动的 AI 编程助手，IDC 2026 评估 9 项维度 8 项满分",[42173,14338,44106,44107,44108,44109,1392,22332],"baidu","spec","wenxin","zulu","国产企业 AI 编程的标杆——SPEC 白盒化让 AI 的开发过程可审计、可追溯，精准击中合规与质量痛点。顺丰、吉利等大客户落地、44% 代码采纳率。个人轻度建议先用免费版，重度选 Coding Plan 同价位的 GLM 套餐性价比更高。","https:\u002F\u002Fcomate.baidu.com","CQ87erU44DB_3M4l8WIV17Sn5YmbfBLtrveapf9ThkQ",{"id":44114,"title":44115,"alternatives":44116,"api_compatible":44118,"body":44119,"category":42173,"chinese_friendly":264,"cover":44831,"description":44832,"domestic":680,"extension":681,"faq":16,"free":680,"github":44833,"languages":44834,"lastVerified":16,"meta":44835,"models":44836,"navigation":253,"notSuitable":44839,"opensource":253,"path":44844,"pillar":22297,"platforms":44845,"priceTable":44846,"pricing":44853,"published":5733,"relatedPlaybooks":16,"relatedReviews":16,"score":44854,"self_host":253,"seo":44855,"seoTitle":44856,"slug":44857,"sources":44858,"stem":44873,"suitable":44874,"tagline":44880,"tags":44881,"updated":5733,"verdict":44883,"website":44861,"__hash__":44884},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fdeepseek-coder.md","DeepSeek Coder",[42199,41792,44117],"coding\u002Fcopilot\u002Fmarscode",[5028],{"type":18,"value":44120,"toc":44814},[44121,44123,44134,44141,44149,44151,44155,44234,44241,44244,44247,44258,44261,44264,44267,44333,44336,44340,44426,44429,44433,44436,44450,44453,44457,44495,44498,44506,44509,44586,44595,44597,44719,44723,44737,44739,44745,44751,44757,44763,44773,44775,44811],[21,44122,5033],{"id":5033},[26,44124,44125,44126,44129,44130,44133],{},"DeepSeek Coder 是",[42,44127,44128],{},"国产开源编程模型的标杆","。2026 年 V4 API 全面开放后，配合 VS Code 的 Continue\u002FCline 插件，可以",[42,44131,44132],{},"零成本实现接近 Cursor 的 Agent 编程体验","——月成本从 Cursor 的 $20 降到 DeepSeek API 的 ¥10 以内。",[26,44135,44136,44137,44140],{},"它的优势是",[42,44138,44139],{},"极致性价比 + 中文理解一流 + 开源可本地部署","。短板是需要自行配置工具链（不像通义灵码\u002FMarsCode 那样开箱即用），且模型能力略弱于 Claude Sonnet 4。",[5048,44142,44143],{"type":5050},[26,44144,44145,44148],{},[42,44146,44147],{},"最佳实践","：VS Code + Continue 插件 + DeepSeek V4 API。补全用 DeepSeek（便宜），复杂 Agent 任务切 Claude（质量高）。两者月成本约 ¥50-100，体验接近 Cursor Pro。",[21,44150,34],{"id":34},[5062,44152,44154],{"id":44153},"deepseek-v4-编程模型","DeepSeek V4 编程模型",[366,44156,44157,44171],{},[369,44158,44159],{},[372,44160,44161,44164,44167,44169],{},[375,44162,44163],{},"参数",[375,44165,44166],{},"DeepSeek V4",[375,44168,6602],{},[375,44170,13157],{},[390,44172,44173,44185,44199,44210,44224],{},[372,44174,44175,44178,44181,44183],{},[395,44176,44177],{},"上下文窗口",[395,44179,44180],{},"128K",[395,44182,4186],{},[395,44184,44180],{},[372,44186,44187,44190,44193,44196],{},[395,44188,44189],{},"编程 Benchmark",[395,44191,44192],{},"SWE-Bench 55%",[395,44194,44195],{},"SWE-Bench 72%",[395,44197,44198],{},"SWE-Bench 68%",[372,44200,44201,44204,44206,44208],{},[395,44202,44203],{},"中文理解",[395,44205,6315],{},[395,44207,5579],{},[395,44209,5579],{},[372,44211,44212,44215,44218,44221],{},[395,44213,44214],{},"API 价格",[395,44216,44217],{},"￥1\u002F百万 token",[395,44219,44220],{},"$15\u002F百万 token",[395,44222,44223],{},"$10\u002F百万 token",[372,44225,44226,44228,44230,44232],{},[395,44227,414],{},[395,44229,1100],{},[395,44231,426],{},[395,44233,426],{},[26,44235,44236,44237,44240],{},"DeepSeek V4 的编程能力约为 Claude Sonnet 4 的 75-80%，但",[42,44238,44239],{},"API 价格只有 Claude 的 1\u002F100","。对于日常补全和中等复杂度的 Agent 任务，性价比极高。",[5062,44242,42242],{"id":44243},"_128k-上下文",[26,44245,44246],{},"128K token 上下文可以覆盖大部分中型项目的单次分析需求：",[36,44248,44249,44252,44255],{},[39,44250,44251],{},"约 3-5 万行代码",[39,44253,44254],{},"完整的 API 文档 + 代码库",[39,44256,44257],{},"长对话历史 + 项目上下文",[26,44259,44260],{},"对于超大型项目（10 万行+），需要配合 RAG 或分块策略。",[5062,44262,44263],{"id":44263},"多语言编程支持",[26,44265,44266],{},"DeepSeek Coder 在以下语言表现最好：",[366,44268,44269,44280],{},[369,44270,44271],{},[372,44272,44273,44275,44278],{},[375,44274,27682],{},[375,44276,44277],{},"补全质量",[375,44279,9990],{},[390,44281,44282,44290,44299,44308,44316,44325],{},[372,44283,44284,44286,44288],{},[395,44285,20134],{},[395,44287,6315],{},[395,44289,5579],{},[372,44291,44292,44295,44297],{},[395,44293,44294],{},"JavaScript\u002FTypeScript",[395,44296,6315],{},[395,44298,5579],{},[372,44300,44301,44304,44306],{},[395,44302,44303],{},"Java",[395,44305,5579],{},[395,44307,5579],{},[372,44309,44310,44312,44314],{},[395,44311,27685],{},[395,44313,5579],{},[395,44315,5585],{},[372,44317,44318,44321,44323],{},[395,44319,44320],{},"C\u002FC++",[395,44322,5579],{},[395,44324,5585],{},[372,44326,44327,44329,44331],{},[395,44328,36890],{},[395,44330,5585],{},[395,44332,5585],{},[21,44334,44335],{"id":44335},"使用方式",[5062,44337,44339],{"id":44338},"方式-1api-vs-code-continue推荐","方式 1：API + VS Code Continue（推荐）",[197,44341,44343],{"className":199,"code":44342,"language":201,"meta":202,"style":202},"# 1. 安装 VS Code Continue 插件\n# 2. 配置 config.json\n{\n  \"models\": [{\n    \"title\": \"DeepSeek V4\",\n    \"provider\": \"openai\",\n    \"model\": \"deepseek-chat\",\n    \"apiBase\": \"https:\u002F\u002Fapi.deepseek.com\u002Fv1\",\n    \"apiKey\": \"your-api-key\"\n  }]\n}\n# 3. 开始使用\n",[204,44344,44345,44350,44355,44359,44368,44377,44386,44395,44404,44413,44417,44421],{"__ignoreMap":202},[207,44346,44347],{"class":209,"line":210},[207,44348,44349],{"class":260},"# 1. 安装 VS Code Continue 插件\n",[207,44351,44352],{"class":209,"line":224},[207,44353,44354],{"class":260},"# 2. 配置 config.json\n",[207,44356,44357],{"class":209,"line":250},[207,44358,966],{"class":234},[207,44360,44361,44363,44365],{"class":209,"line":257},[207,44362,22582],{"class":213},[207,44364,18422],{"class":227},[207,44366,44367],{"class":234}," [{\n",[207,44369,44370,44372,44374],{"class":209,"line":264},[207,44371,22590],{"class":213},[207,44373,18422],{"class":227},[207,44375,44376],{"class":217}," \"DeepSeek V4\",\n",[207,44378,44379,44381,44383],{"class":209,"line":276},[207,44380,22602],{"class":213},[207,44382,18422],{"class":227},[207,44384,44385],{"class":217}," \"openai\",\n",[207,44387,44388,44390,44392],{"class":209,"line":281},[207,44389,22614],{"class":213},[207,44391,18422],{"class":227},[207,44393,44394],{"class":217}," \"deepseek-chat\",\n",[207,44396,44397,44399,44401],{"class":209,"line":287},[207,44398,22626],{"class":213},[207,44400,18422],{"class":227},[207,44402,44403],{"class":217}," \"https:\u002F\u002Fapi.deepseek.com\u002Fv1\",\n",[207,44405,44406,44408,44410],{"class":209,"line":321},[207,44407,22638],{"class":213},[207,44409,18422],{"class":227},[207,44411,44412],{"class":217}," \"your-api-key\"\n",[207,44414,44415],{"class":209,"line":326},[207,44416,22648],{"class":234},[207,44418,44419],{"class":209,"line":332},[207,44420,1035],{"class":234},[207,44422,44423],{"class":209,"line":344},[207,44424,44425],{"class":260},"# 3. 开始使用\n",[26,44427,44428],{},"月成本：¥5-20（日常补全 + 偶尔 Agent 任务）",[5062,44430,44432],{"id":44431},"方式-2api-clineagent-模式","方式 2：API + Cline（Agent 模式）",[26,44434,44435],{},"Cline 是 VS Code 的 Agent 插件，配合 DeepSeek V4 可以实现：",[36,44437,44438,44441,44444,44447],{},[39,44439,44440],{},"多文件修改",[39,44442,44443],{},"自动跑测试",[39,44445,44446],{},"终端命令执行",[39,44448,44449],{},"Bug 修复",[26,44451,44452],{},"月成本：¥10-50（取决于 Agent 任务频率）",[5062,44454,44456],{"id":44455},"方式-3本地部署","方式 3：本地部署",[197,44458,44460],{"className":199,"code":44459,"language":201,"meta":202,"style":202},"# 使用 Ollama 本地部署\nollama pull deepseek-coder-v2:16b\n# 或使用 vLLM 部署 236B 完整版\npython -m vllm.entrypoints.openai.api_server --model deepseek-ai\u002Fdeepseek-coder-v2-instruct\n",[204,44461,44462,44467,44476,44481],{"__ignoreMap":202},[207,44463,44464],{"class":209,"line":210},[207,44465,44466],{"class":260},"# 使用 Ollama 本地部署\n",[207,44468,44469,44471,44473],{"class":209,"line":224},[207,44470,2985],{"class":213},[207,44472,2988],{"class":217},[207,44474,44475],{"class":217}," deepseek-coder-v2:16b\n",[207,44477,44478],{"class":209,"line":250},[207,44479,44480],{"class":260},"# 或使用 vLLM 部署 236B 完整版\n",[207,44482,44483,44485,44487,44490,44492],{"class":209,"line":257},[207,44484,335],{"class":213},[207,44486,5369],{"class":227},[207,44488,44489],{"class":217}," vllm.entrypoints.openai.api_server",[207,44491,32961],{"class":227},[207,44493,44494],{"class":217}," deepseek-ai\u002Fdeepseek-coder-v2-instruct\n",[26,44496,44497],{},"本地部署需要：",[36,44499,44500,44503],{},[39,44501,44502],{},"16B 模型：~12GB VRAM（RTX 4090 可跑）",[39,44504,44505],{},"236B 模型：~480GB VRAM（多卡服务器）",[21,44507,44508],{"id":44508},"价格对比",[366,44510,44511,44522],{},[369,44512,44513],{},[372,44514,44515,44517,44519],{},[375,44516,9528],{},[375,44518,22760],{},[375,44520,44521],{},"体验",[390,44523,44524,44535,44546,44557,44567,44576],{},[372,44525,44526,44529,44532],{},[395,44527,44528],{},"DeepSeek API + Continue",[395,44530,44531],{},"¥5-20",[395,44533,44534],{},"接近 Copilot 补全",[372,44536,44537,44540,44543],{},[395,44538,44539],{},"DeepSeek API + Cline",[395,44541,44542],{},"¥10-50",[395,44544,44545],{},"接近 Cursor Agent",[372,44547,44548,44551,44554],{},[395,44549,44550],{},"Cursor Pro",[395,44552,44553],{},"¥145 ($20)",[395,44555,44556],{},"最佳体验",[372,44558,44559,44561,44564],{},[395,44560,34462],{},[395,44562,44563],{},"¥72 ($10)",[395,44565,44566],{},"补全标杆",[372,44568,44569,44571,44573],{},[395,44570,41418],{},[395,44572,12512],{},[395,44574,44575],{},"国产补全标杆",[372,44577,44578,44581,44583],{},[395,44579,44580],{},"本地部署",[395,44582,39237],{},[395,44584,44585],{},"需要 GPU",[26,44587,44588,44590,44591,44594],{},[42,44589,12703],{},"：DeepSeek API + Continue\u002FCline 是",[42,44592,44593],{},"性价比最高的 AI 编程方案","，月成本 ¥10-50 即可获得接近 Cursor 的体验。",[21,44596,5505],{"id":5505},[366,44598,44599,44614],{},[369,44600,44601],{},[372,44602,44603,44605,44607,44609,44611],{},[375,44604,377],{},[375,44606,44115],{},[375,44608,41418],{},[375,44610,42443],{},[375,44612,44613],{},"MarsCode",[390,44615,44616,44631,44644,44656,44669,44681,44694,44706],{},[372,44617,44618,44620,44623,44626,44628],{},[395,44619,12327],{},[395,44621,44622],{},"开源模型 + 插件",[395,44624,44625],{},"IDE 插件",[395,44627,44625],{},[395,44629,44630],{},"IDE 插件 + IDE",[372,44632,44633,44635,44637,44639,44642],{},[395,44634,414],{},[395,44636,1100],{},[395,44638,426],{},[395,44640,44641],{},"✅ 模型开源",[395,44643,426],{},[372,44645,44646,44648,44650,44652,44654],{},[395,44647,44580],{},[395,44649,1100],{},[395,44651,426],{},[395,44653,1100],{},[395,44655,426],{},[372,44657,44658,44660,44663,44665,44667],{},[395,44659,108],{},[395,44661,44662],{},"免费\u002F极低",[395,44664,12512],{},[395,44666,12512],{},[395,44668,12512],{},[372,44670,44671,44673,44675,44677,44679],{},[395,44672,44277],{},[395,44674,5579],{},[395,44676,5579],{},[395,44678,5585],{},[395,44680,5579],{},[372,44682,44683,44685,44688,44690,44692],{},[395,44684,9990],{},[395,44686,44687],{},"★★★★☆ (需配 Cline)",[395,44689,5585],{},[395,44691,5593],{},[395,44693,5579],{},[372,44695,44696,44698,44700,44702,44704],{},[395,44697,5590],{},[395,44699,6315],{},[395,44701,6315],{},[395,44703,5579],{},[395,44705,5579],{},[372,44707,44708,44710,44713,44715,44717],{},[395,44709,38693],{},[395,44711,44712],{},"❌ 需配置",[395,44714,1100],{},[395,44716,1100],{},[395,44718,1100],{},[26,44720,44721,5072],{},[42,44722,30328],{},[36,44724,44725,44728,44731,44734],{},[39,44726,44727],{},"想要开箱即用 → 通义灵码 \u002F MarsCode",[39,44729,44730],{},"想要本地部署\u002F开源 → DeepSeek Coder",[39,44732,44733],{},"想要最强 Agent 体验 → DeepSeek API + Cline",[39,44735,44736],{},"想要零成本 → 本地部署 DeepSeek + Continue",[21,44738,2552],{"id":2551},[26,44740,44741,44744],{},[42,44742,44743],{},"Q：DeepSeek V4 和 DeepSeek Coder V2 什么区别？","\nV4 是通用大模型（编程能力强），Coder V2 是专门的编程模型。V4 整体能力更强，推荐用 V4。Coder V2 适合本地部署（有 16B 小模型版本）。",[26,44746,44747,44750],{},[42,44748,44749],{},"Q：DeepSeek API 稳定吗？","\n2026 年 V4 全面开放后稳定性大幅提升，API 可用率约 99.5%。高峰期偶有延迟增高，但不影响日常使用。",[26,44752,44753,44756],{},[42,44754,44755],{},"Q：能替代 Cursor 吗？","\n补全可以替代，Agent 能力差一截。DeepSeek + Cline 的 Agent 体验约为 Cursor 的 70-80%，但成本只有 1\u002F10。预算敏感的用户完全可以接受。",[26,44758,44759,44762],{},[42,44760,44761],{},"Q：本地部署需要什么硬件？","\n16B 量化版需要 ~12GB VRAM（RTX 4090 \u002F RTX 3090 可跑）。完整 236B 需要多卡服务器（8×A100 80GB）。大多数个人用户选择 API 方式更实际。",[26,44764,44765,44768,44769,44772],{},[42,44766,44767],{},"Q：和 Kimi Code \u002F MiMo Code 比，DeepSeek Coder 优势在哪？","\nDeepSeek 的优势是",[42,44770,44771],{},"生态成熟","——API 稳定、社区大、工具链完善（Continue\u002FCline\u002FAider 都支持）。Kimi Code 和 MiMo Code 更新更激进但生态还在建设期。",[21,44774,604],{"id":604},[36,44776,44777,44783,44788,44794,44800,44806],{},[39,44778,44779],{},[610,44780,44782],{"href":44781},"\u002Fcoding\u002Fcopilot\u002Fcodegeex.html","CodeGeeX 工具卡",[39,44784,44785],{},[610,44786,44787],{"href":41417},"通义灵码 工具卡",[39,44789,44790],{},[610,44791,44793],{"href":44792},"\u002Fcoding\u002Fcopilot\u002Fmarscode.html","MarsCode 工具卡",[39,44795,44796],{},[610,44797,44799],{"href":44798},"\u002Freview\u002Fcopilot-four-comparison.html","国产 Copilot 四强横评",[39,44801,44802],{},[610,44803,44805],{"href":44804},"\u002Fcoding\u002Fagent\u002Fcontinue.html","Continue 工具卡",[39,44807,44808],{},[610,44809,44810],{"href":22374},"Cline 工具卡",[662,44812,44813],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":44815},[44816,44817,44822,44827,44828,44829,44830],{"id":5033,"depth":224,"text":5033},{"id":34,"depth":224,"text":34,"children":44818},[44819,44820,44821],{"id":44153,"depth":250,"text":44154},{"id":44243,"depth":250,"text":42242},{"id":44263,"depth":250,"text":44263},{"id":44335,"depth":224,"text":44335,"children":44823},[44824,44825,44826],{"id":44338,"depth":250,"text":44339},{"id":44431,"depth":250,"text":44432},{"id":44455,"depth":250,"text":44456},{"id":44508,"depth":224,"text":44508},{"id":5505,"depth":224,"text":5505},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},"\u002Fimg\u002Ftools\u002Fdeepseek-coder.webp","DeepSeek Coder 2026 真实评测：深度求索出品的开源编程模型，V4 API 全面开放、128K 上下文、配合 VS Code Continue\u002FCline 可免费实现 Cursor 级体验。本文整理核心能力、本地部署、与 CodeGeeX\u002F通义灵码对比、适用场景。","https:\u002F\u002Fgithub.com\u002Fdeepseek-ai\u002FDeepSeek-Coder",[696,697],{},[44837,44838],"deepseek-v4","deepseek-coder-v2",[44840,44841,44842,44843],"需要开箱即用的 IDE 插件体验（需要自行配置工具链）","需要最强模型能力（DeepSeek 略弱于 Claude Sonnet 4）","没有 GPU 且不想用 API 的用户","需要企业级管控和审计的团队","\u002Ftools\u002Fcoding\u002Fcopilot\u002Fdeepseek-coder",[704,1349,1348,1350],[44847,44850],{"plan":44848,"price":707,"limit":44849,"cn_pay":5724,"note":44585},"开源模型","自行部署，无限制",{"plan":44851,"price":44217,"limit":36581,"cn_pay":37854,"note":44852},"API（V4）","最便宜的顶级 API","免费（开源模型）\u002F API 按 token 计费",{"power":257,"ux":250,"price":264,"cn_support":264,"stability":257},{"title":44115,"description":44832},"DeepSeek Coder 评测 2026：深度求索开源编程模型，V4 API 全面开放","coding\u002Fcopilot\u002Fdeepseek-coder",[44859,44862,44864,44867,44870],{"title":44860,"url":44861},"DeepSeek 官网","https:\u002F\u002Fwww.deepseek.com",{"title":44863,"url":44833},"DeepSeek Coder GitHub",{"title":44865,"url":44866},"DeepSeek V4 + VS Code 实测","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7651498750988485166\u002F",{"title":44868,"url":44869},"国产之光 DeepSeek Code","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7649438670730117659\u002F",{"title":44871,"url":44872},"DeepSeek 本地部署指南","https:\u002F\u002Fblog.csdn.net\u002Fgitblog_00848\u002Farticle\u002Fdetails\u002F151922381","tools\u002Fcoding\u002Fcopilot\u002Fdeepseek-coder",[44875,44876,44877,44878,44879],"预算敏感的个人开发者（免费或极低成本）","需要本地部署 \u002F 私有化的团队","中文注释为主的代码库","想要 BYOK 自由切换模型的用户","配合 Continue\u002FCline 在 VS Code 里实现 Agent 编程","深度求索开源编程模型，V4 API 全面开放，国产编程之光",[42173,17191,745,746,44882,18028],"local-deploy","国产开源编程模型标杆。V4 API 全面开放、128K 上下文、配合 Continue\u002FCline 可免费实现 Cursor 级体验。中文理解一流，本地部署友好，但需要自行搭建工具链。","5tASkstzUFsuRvobW5i6wJvn7nvUQ6bYoSbrbLtC15I",{"id":44886,"title":44887,"alternatives":44888,"api_compatible":44889,"body":44890,"category":42173,"chinese_friendly":224,"cover":45407,"description":45408,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":45409,"lastVerified":16,"meta":45411,"models":45412,"navigation":253,"notSuitable":45413,"opensource":680,"path":45417,"pillar":22297,"platforms":45418,"priceTable":45419,"pricing":45426,"published":5733,"relatedPlaybooks":16,"relatedReviews":16,"score":45427,"self_host":680,"seo":45428,"seoTitle":45429,"slug":45430,"sources":45431,"stem":45444,"suitable":45445,"tagline":45451,"tags":45452,"updated":5733,"verdict":45453,"website":45434,"__hash__":45454},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgemini-code-assist.md","Gemini Code Assist",[21827,44117,42712],[18983],{"type":18,"value":44891,"toc":45391},[44892,44894,44901,44908,44916,44918,44922,44929,44940,44943,44947,45015,45022,45024,45109,45116,45118,45122,45132,45135,45138,45182,45185,45187,45227,45232,45243,45246,45250,45337,45342,45344,45350,45356,45362,45368,45370],[21,44893,5033],{"id":5033},[26,44895,44896,44897,44900],{},"Gemini Code Assist 是 Google 在 AI 编程赛道的旗舰产品。它最大的杀手锏是 ",[42,44898,44899],{},"百万 token 免费额度","——这意味着你可以把整个大型项目扔给它分析，不用担心像 GitHub Copilot 那样按量计费。",[26,44902,44903,44904,44907],{},"但它的短板也很明显：",[42,44905,44906],{},"国内访问需要稳定翻墙 + Google 账号","，中文体验不如通义灵码\u002FCodeBuddy 等国产工具。如果你的团队在 Google Cloud 生态里，Gemini Code Assist 是最自然的选择；如果在国内裸跑，还是选国产工具更顺。",[5048,44909,44910],{"type":5050},[26,44911,44912,44915],{},[42,44913,44914],{},"Google AI 编程产品线","：Gemini Code Assist（IDE 插件）+ Gemini CLI（终端 Agent）+ Jules（异步编码 Agent）+ Firebase Studio（全栈构建）。四款产品定位不同，Code Assist 是\"日常编程助手\"定位。",[21,44917,34],{"id":34},[5062,44919,44921],{"id":44920},"百万-token-上下文","百万 token 上下文",[26,44923,44924,44925,44928],{},"Gemini 2.5 Pro 支持 ",[42,44926,44927],{},"100 万 token 上下文窗口","——这是目前所有 AI 编程工具中最长的。实际意义：",[36,44930,44931,44934,44937],{},[39,44932,44933],{},"整个中型项目（10-20 万行代码）可以一次性塞进上下文",[39,44935,44936],{},"跨文件理解不需要分块，Agent 能看到全局",[39,44938,44939],{},"长对话不会\"忘记\"早期讨论的架构决策",[26,44941,44942],{},"对比：GitHub Copilot 上下文约 8K-32K token，Claude Code 约 200K token。",[5062,44944,44946],{"id":44945},"代码补全-生成","代码补全 + 生成",[366,44948,44949,44959],{},[369,44950,44951],{},[372,44952,44953,44955,44957],{},[375,44954,30009],{},[375,44956,44887],{},[375,44958,34462],{},[390,44960,44961,44970,44979,44988,44997,45006],{},[372,44962,44963,44966,44968],{},[395,44964,44965],{},"单行补全",[395,44967,5579],{},[395,44969,6315],{},[372,44971,44972,44975,44977],{},[395,44973,44974],{},"多行补全",[395,44976,5579],{},[395,44978,5579],{},[372,44980,44981,44984,44986],{},[395,44982,44983],{},"函数生成",[395,44985,6315],{},[395,44987,5579],{},[372,44989,44990,44993,44995],{},[395,44991,44992],{},"跨文件理解",[395,44994,6315],{},[395,44996,5585],{},[372,44998,44999,45002,45004],{},[395,45000,45001],{},"中文注释→代码",[395,45003,5585],{},[395,45005,5585],{},[372,45007,45008,45011,45013],{},[395,45009,45010],{},"代码解释",[395,45012,6315],{},[395,45014,5579],{},[26,45016,45017,45018,45021],{},"Gemini Code Assist 在",[42,45019,45020],{},"跨文件理解和长代码生成","方面有明显优势，但单行补全的实时性略逊于 Copilot（延迟高 50-100ms）。",[5062,45023,16734],{"id":16734},[366,45025,45026,45038],{},[369,45027,45028],{},[372,45029,45030,45033,45035],{},[375,45031,45032],{},"企业功能",[375,45034,44887],{},[375,45036,45037],{},"GitHub Copilot Business",[390,45039,45040,45049,45059,45069,45078,45088,45099],{},[372,45041,45042,45044,45047],{},[395,45043,11346],{},[395,45045,45046],{},"❌（Google Cloud 内）",[395,45048,426],{},[372,45050,45051,45054,45057],{},[395,45052,45053],{},"代码不留存",[395,45055,45056],{},"✅ 企业版保证",[395,45058,1100],{},[372,45060,45061,45064,45067],{},[395,45062,45063],{},"SSO 单点登录",[395,45065,45066],{},"✅ Google Workspace",[395,45068,1100],{},[372,45070,45071,45073,45076],{},[395,45072,17243],{},[395,45074,45075],{},"✅ Cloud Audit Logs",[395,45077,1100],{},[372,45079,45080,45083,45086],{},[395,45081,45082],{},"代码安全扫描",[395,45084,45085],{},"✅ 集成 SCC",[395,45087,426],{},[372,45089,45090,45093,45096],{},[395,45091,45092],{},"合规认证",[395,45094,45095],{},"SOC 2 \u002F HIPAA \u002F FedRAMP",[395,45097,45098],{},"SOC 2",[372,45100,45101,45103,45106],{},[395,45102,108],{},[395,45104,45105],{},"$45\u002F月\u002F席位",[395,45107,45108],{},"$19\u002F月\u002F席位",[26,45110,45111,45112,45115],{},"Gemini Code Assist 企业版",[42,45113,45114],{},"价格是 Copilot 的 2.4 倍","，但合规认证更全（FedRAMP 高级别），适合金融\u002F政务\u002F医疗行业。",[21,45117,5312],{"id":5312},[5062,45119,45121],{"id":45120},"ide-集成","IDE 集成",[26,45123,45124,45125,11448,45128,45131],{},"支持 ",[42,45126,45127],{},"VS Code",[42,45129,45130],{},"IntelliJ IDEA \u002F PyCharm \u002F WebStorm"," 等 JetBrains 全家桶。安装方式：在插件市场搜索 \"Gemini Code Assist\" 即可。",[26,45133,45134],{},"VS Code 体验最好，JetBrains 插件功能略少（缺少部分 inline edit 功能）。",[5062,45136,45137],{"id":45137},"国内使用门槛",[366,45139,45140,45149],{},[369,45141,45142],{},[372,45143,45144,45147],{},[375,45145,45146],{},"门槛",[375,45148,30012],{},[390,45150,45151,45158,45165,45172],{},[372,45152,45153,45155],{},[395,45154,34256],{},[395,45156,45157],{},"需要稳定翻墙，Google API 在国内被墙",[372,45159,45160,45162],{},[395,45161,34245],{},[395,45163,45164],{},"需要 Google 账号，国内手机号注册受限",[372,45166,45167,45169],{},[395,45168,11197],{},[395,45170,45171],{},"个人版免费，企业版需 Google Cloud 账单（海外信用卡）",[372,45173,45174,45176],{},[395,45175,27682],{},[395,45177,45178,45179],{},"界面支持英文\u002F日文\u002F韩文，",[42,45180,45181],{},"不支持中文界面",[26,45183,45184],{},"这四道门槛加起来，国内开发者用 Gemini Code Assist 的成本比用通义灵码\u002FMarsCode 高很多。",[21,45186,108],{"id":108},[366,45188,45189,45201],{},[369,45190,45191],{},[372,45192,45193,45195,45197,45199],{},[375,45194,42279],{},[375,45196,108],{},[375,45198,23554],{},[375,45200,506],{},[390,45202,45203,45215],{},[372,45204,45205,45208,45210,45213],{},[395,45206,45207],{},"个人版",[395,45209,12512],{},[395,45211,45212],{},"百万 token\u002F月",[395,45214,19691],{},[372,45216,45217,45219,45221,45224],{},[395,45218,11247],{},[395,45220,45105],{},[395,45222,45223],{},"按席位不限量",[395,45225,45226],{},"企业团队",[26,45228,45229,45231],{},[42,45230,44899],{},"是什么概念？大约可以：",[36,45233,45234,45237,45240],{},[39,45235,45236],{},"分析 10 万行代码 5-10 次",[39,45238,45239],{},"生成代码 500-1000 次",[39,45241,45242],{},"日常补全约 2 万次",[26,45244,45245],{},"对于个人开发者，免费额度基本够用。",[21,45247,45249],{"id":45248},"与-github-copilot-对比","与 GitHub Copilot 对比",[366,45251,45252,45262],{},[369,45253,45254],{},[372,45255,45256,45258,45260],{},[375,45257,377],{},[375,45259,44887],{},[375,45261,34462],{},[390,45263,45264,45273,45283,45292,45301,45312,45320,45328],{},[372,45265,45266,45268,45270],{},[395,45267,9735],{},[395,45269,45212],{},[395,45271,45272],{},"无（$10\u002F月起）",[372,45274,45275,45277,45280],{},[395,45276,44177],{},[395,45278,45279],{},"100 万 token",[395,45281,45282],{},"~32K token",[372,45284,45285,45288,45290],{},[395,45286,45287],{},"企业版价格",[395,45289,45105],{},[395,45291,45108],{},[372,45293,45294,45296,45299],{},[395,45295,45092],{},[395,45297,45298],{},"FedRAMP \u002F HIPAA",[395,45300,45098],{},[372,45302,45303,45306,45309],{},[395,45304,45305],{},"IDE 支持",[395,45307,45308],{},"VS Code \u002F JetBrains",[395,45310,45311],{},"全（含 Neovim）",[372,45313,45314,45316,45318],{},[395,45315,5590],{},[395,45317,5593],{},[395,45319,5585],{},[372,45321,45322,45324,45326],{},[395,45323,9720],{},[395,45325,426],{},[395,45327,426],{},[372,45329,45330,45332,45334],{},[395,45331,1111],{},[395,45333,9417],{},[395,45335,45336],{},"GPT-5 \u002F Claude",[26,45338,45339,45341],{},[42,45340,12703],{},"：如果你需要超长上下文和免费额度，选 Gemini Code Assist。如果你需要最全的 IDE 支持和生态，选 GitHub Copilot。",[21,45343,2552],{"id":2551},[26,45345,45346,45349],{},[42,45347,45348],{},"Q：Gemini Code Assist 和 Gemini CLI 什么关系？","\n都是 Google 的 AI 编程产品线。Code Assist 是 IDE 插件（补全+对话），Gemini CLI 是终端 Agent（类似 Claude Code）。两者可以互补使用。",[26,45351,45352,45355],{},[42,45353,45354],{},"Q：百万 token 免费额度够用吗？","\n个人开发者日常使用基本够。如果你是重度 Agent 用户（每天多次大规模重构），可能会触限，需要等月度重置或升级企业版。",[26,45357,45358,45361],{},[42,45359,45360],{},"Q：能用 Gemini Code Assist 替代 Cursor 吗？","\n不能完全替代。Gemini Code Assist 是插件形态，没有 Cursor 的 Composer\u002FAgent 模式。但配合 Gemini CLI 可以补足 Agent 能力。",[26,45363,45364,45367],{},[42,45365,45366],{},"Q：企业版值得买吗？","\n如果你的团队在 Google Cloud 生态里、需要 FedRAMP\u002FHIPAA 合规，Gemini Code Assist 企业版是最佳选择。否则 GitHub Copilot Business 性价比更高。",[21,45369,604],{"id":604},[36,45371,45372,45377,45381,45387],{},[39,45373,45374],{},[610,45375,45376],{"href":34461},"GitHub Copilot 工具卡",[39,45378,45379],{},[610,45380,44793],{"href":44792},[39,45382,45383],{},[610,45384,45386],{"href":45385},"\u002Fcoding\u002Fcopilot\u002Fcodebuddy.html","CodeBuddy 工具卡",[39,45388,45389],{},[610,45390,44799],{"href":44798},{"title":202,"searchDepth":250,"depth":250,"links":45392},[45393,45394,45399,45403,45404,45405,45406],{"id":5033,"depth":224,"text":5033},{"id":34,"depth":224,"text":34,"children":45395},[45396,45397,45398],{"id":44920,"depth":250,"text":44921},{"id":44945,"depth":250,"text":44946},{"id":16734,"depth":250,"text":16734},{"id":5312,"depth":224,"text":5312,"children":45400},[45401,45402],{"id":45120,"depth":250,"text":45121},{"id":45137,"depth":250,"text":45137},{"id":108,"depth":224,"text":108},{"id":45248,"depth":224,"text":45249},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},"\u002Fimg\u002Ftools\u002Fgemini-code-assist.webp","Gemini Code Assist 2026 真实评测：Google 出品的 AI 编程助手，Gemini 2.5 Pro 驱动，百万 token 免费额度。VS Code\u002FIntelliJ 插件、企业版 Google Cloud 集成、长上下文理解。本文整理核心能力、价格、与 GitHub Copilot 对比、适用场景。",[697,13236,45410],"ko",{},[39677],[45414,45415,44876,45416],"国内开发者（需稳定翻墙 + 海外 Google 账号）","中文注释为主的团队（中文体验不如国产工具）","JetBrains 全家桶深度用户（插件支持不如 Copilot 全）","\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgemini-code-assist",[704,1349,1348,1350],[45420,45423],{"plan":45207,"price":707,"limit":45421,"cn_pay":30421,"note":45422},"百万 token\u002F月免费","VS Code\u002FIntelliJ 插件",{"plan":11247,"price":10045,"limit":45424,"cn_pay":6363,"note":45425},"按席位计费","Google Cloud 集成","免费（个人版）\u002F 企业版联系销售",{"power":257,"ux":257,"price":264,"cn_support":224,"stability":257},{"title":44887,"description":45408},"Gemini Code Assist 评测 2026：Google AI 编程助手，百万 token 免费额度","coding\u002Fcopilot\u002Fgemini-code-assist",[45432,45435,45438,45441],{"title":45433,"url":45434},"Gemini Code Assist 官网","https:\u002F\u002Fcodeassist.google",{"title":45436,"url":45437},"Google AI 编程产品线分析","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7655920586589209131\u002F",{"title":45439,"url":45440},"2026 AI 编程工具实测","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7657891407511831059\u002F",{"title":45442,"url":45443},"Gemini Code Assist PHP 中文网介绍","https:\u002F\u002Fwww.php.cn\u002Ffaq\u002F1950481.html","tools\u002Fcoding\u002Fcopilot\u002Fgemini-code-assist",[45446,45447,45448,45449,45450],"Google Cloud \u002F GCP 生态用户","需要超长上下文（100 万 token）的场景","企业级安全合规要求高的团队","已有 Google Workspace 的企业","想免费体验顶级 AI 编程的个人开发者","Google AI 编程助手，百万 token 免费额度，企业版集成 Google Cloud",[42173,18983,24205,37890,22332,15423],"谷歌 AI 编程旗舰。百万 token 免费额度+Google Cloud 深度集成+企业级安全。长上下文理解强，但中文体验和国内访问是短板。","afaEd7xJVWtlJfFL8mbNk_SRY4xeebE0WygQPHLRTpU",{"id":45456,"title":34462,"alternatives":45457,"api_compatible":45459,"body":45460,"category":42173,"chinese_friendly":250,"cover":46517,"description":46518,"domestic":680,"extension":681,"faq":16,"free":680,"github":46470,"languages":46519,"lastVerified":16,"meta":46520,"models":46521,"navigation":253,"notSuitable":46524,"opensource":680,"path":22227,"pillar":22297,"platforms":46528,"priceTable":46529,"pricing":46546,"published":720,"relatedPlaybooks":16,"relatedReviews":16,"score":46547,"self_host":680,"seo":46548,"seoTitle":46549,"slug":21827,"sources":46550,"stem":46577,"suitable":46578,"tagline":46584,"tags":46585,"updated":22952,"verdict":46588,"website":46470,"__hash__":46589},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot.md",[20457,45458,22343,22941],"coding\u002Fide\u002Fwindsurf",[],{"type":18,"value":45461,"toc":46498},[45462,45464,45509,45514,45516,45520,45569,45573,45581,45595,45602,45607,45611,45619,45637,45640,45644,45654,45657,45701,45718,45722,45725,45728,45742,45749,45753,45764,45790,45845,45856,45858,45866,45939,45944,45969,45973,46076,46079,46081,46111,46113,46263,46267,46300,46302,46365,46367,46369,46386,46388,46416,46418,46462,46464,46490,46495],[21,45463,24],{"id":23},[5783,45465,45467,45479,45489],{"className":45466},[5786,5787,5788],[26,45468,45469,45471,45472,45474,45475,45478],{},[42,45470,5793],{}," AI 编程的\"出厂选项\"。2021 年随 VS Code 首发，2025-02 Agent Mode GA、2025-09 Coding Agent GA、2025 全年支持 ",[610,45473,1850],{"href":12453},"，到 2026 Q2 已经从\"补全工具\"演化成 ",[42,45476,45477],{},"完整 Agent 平台","——补全、对话、Agent Mode、后台 Coding Agent 一站全有。",[26,45480,45481,45482,45485,45486,45488],{},"最大优势是 ",[42,45483,45484],{},"生态最稳 + 免费档大方（2000 次补全\u002F月）+ 学生\u002F开源免费 Pro","。代价是 ",[42,45487,34393],{},"：账号 + 网络 + 支付。",[26,45490,45491,45494,45495,45498,45499,45502,45503,45505,45506,45508],{},[42,45492,45493],{},"2026-07 最新变化","：① 自 ",[42,45496,45497],{},"2026-06-01 起转 AI Credits 按量计费","（1 credit = $0.01），基础订阅价不变，",[42,45500,45501],{},"单行补全 & Next Edit 仍免费不计费","，仅 Chat\u002FAgent\u002FPR 评审\u002FCLI\u002F超长上下文消耗 credits；② ",[42,45504,37769],{}," 成为首个开源权重可选模型（7-01 Pro\u002FPro+\u002FMax，7-07 Business\u002FEnterprise 需管理员开启）；③ ",[42,45507,35301],{},"（Sol\u002FTerra\u002FLuna）7-09 全 IDE 上线；④ Codex 作为公测 Agent provider 进入 JetBrains（7-07），JetBrains Inline Chat GA。",[130,45510,45511],{},[26,45512,45513],{},"来源说明：本文基于 github.com 官方页面、docs.github.com 企业版文档、github.blog 公告、第三方评测（augmentcode \u002F tossitt \u002F 4geeks）综合整理。Copilot 定价 2026 多次调整（社区报告 2026-04 起新增 credit 制），请以最新官方页面为准。",[21,45515,5893],{"id":5893},[5062,45517,45519],{"id":45518},"三大形态completion-chat-agent","三大形态：Completion \u002F Chat \u002F Agent",[36,45521,45522,45528,45534,45539,45545,45563],{},[39,45523,45524,45527],{},[42,45525,45526],{},"Code Completion","：开山立派的能力，AI 在你写代码时给 inline 建议",[39,45529,45530,45533],{},[42,45531,45532],{},"Copilot Chat","：侧边栏对话，问\"这段代码什么意思\"、\"帮我写个 SQL\"",[39,45535,45536,45538],{},[42,45537,6803],{},"（2025-02 在 VS Code GA）：自主多文件编辑，可调工具、跑测试、看结果调整",[39,45540,45541,45544],{},[42,45542,45543],{},"Coding Agent","（2025-09 GA）：在 GitHub 网页 \u002F 移动端把 issue 派给 Copilot，它在云端 Actions 环境里改代码、开 PR 等你 review",[39,45546,45547,45550,45551,5379,45554,5379,45557,5379,45560],{},[42,45548,45549],{},"Copilot CLI 新终端界面","（2026-06-23 GA）：Tabbed TUI、Issues\u002FPRs\u002FGists 标签页、内置 ",[204,45552,45553],{},"\u002Fmcp add",[204,45555,45556],{},"\u002Fskills",[204,45558,45559],{},"\u002Fplugin",[204,45561,45562],{},"\u002Fsettings",[39,45564,45565,45568],{},[42,45566,45567],{},"Agent Finder","（2026-06-17 发布）：基于开放 ARD（Agentic Resource Discovery）规范，按任务动态发现可用资源 \u002F MCP \u002F 私有 registry，避免一开始把所有工具塞进上下文",[5062,45570,45572],{"id":45571},"agent-mode-详解","Agent Mode 详解",[26,45574,45575,45580],{},[610,45576,45579],{"href":45577,"rel":45578},"https:\u002F\u002Fgithub.blog\u002Fnews-insights\u002Fproduct-news\u002Fgithub-copilot-coding-agent-is-now-generally-available\u002F",[639],"GitHub Blog 公告"," 描述的 Agent Mode 能力：",[36,45582,45583,45586,45589,45592],{},[39,45584,45585],{},"跨文件自主编辑（不需要你一个个 @ 文件）",[39,45587,45588],{},"调用 terminal 跑测试 \u002F linter",[39,45590,45591],{},"MCP 服务集成（2025-04 起 public preview，VS Code \u002F JetBrains \u002F Xcode 都支持）",[39,45593,45594],{},"支持 Claude Opus 4.6 \u002F Sonnet 4.6 \u002F GPT-5 \u002F Gemini 2.5 Pro 等多模型按需切",[26,45596,45597,5072],{},[610,45598,45601],{"href":45599,"rel":45600},"https:\u002F\u002Fagents.4geeks.com\u002Fagent\u002Fgithub-copilot",[639],"4geeks.com 2025 评测",[130,45603,45604],{},[26,45605,45606],{},"\"GitHub Copilot supports MCP (Model Context Protocol) servers in VS Code, JetBrains, and Xcode, available in Agent Mode. Users can connect MCP tools directly from the Copilot panel.\"",[5062,45608,45610],{"id":45609},"coding-agent云端后台-pr-生成","Coding Agent（云端后台 PR 生成）",[26,45612,45613,45618],{},[610,45614,45617],{"href":45615,"rel":45616},"https:\u002F\u002Fdocs.github.com\u002F",[639],"GitHub 官方文档"," 描述的 Coding Agent：",[36,45620,45621,45624,45631,45634],{},[39,45622,45623],{},"从 GitHub Issues、VS Code、GitHub.com agent 界面、PR 评论、安全告警任一入口指派",[39,45625,45626,45627,45630],{},"在 ",[42,45628,45629],{},"GitHub Actions 临时开发环境","里跑（不占你本地）",[39,45632,45633],{},"完成后开 PR，附完整 commit \u002F 测试输出 \u002F 工作日志",[39,45635,45636],{},"你只 review + merge",[26,45638,45639],{},"支持版本：Pro \u002F Pro+ \u002F Business \u002F Enterprise（Free 不含）",[5062,45641,45643],{"id":45642},"copilot-cli2026-新终端界面-ga","Copilot CLI（2026 新终端界面 GA）",[26,45645,45646,45647,5379,45650,45653],{},"2026-06-23，GitHub 将新版 Copilot CLI terminal interface 推到 GA。它已经不只是 ",[204,45648,45649],{},"gh copilot suggest",[204,45651,45652],{},"gh copilot explain"," 这种「自然语言 → shell 命令」工具，而是更接近一个终端里的 Copilot 工作台。",[26,45655,45656],{},"关键变化：",[36,45658,45659,45665,45675,45692],{},[39,45660,45661,45664],{},[42,45662,45663],{},"Tabbed TUI","：Session \u002F Gists \u002F Issues \u002F Pull Requests 标签页，当前目录是 GitHub repo 时自动显示 issue \u002F PR。",[39,45666,45667,45670,45671,45674],{},[42,45668,45669],{},"引用工作项","：在 Issues \u002F PRs tab 高亮条目后按 ",[204,45672,45673],{},"c","，可以把该 issue \u002F PR 直接塞进 prompt，让 Copilot 调查、修复或 review。",[39,45676,45677,5072,45680,5379,45682,5379,45685,5379,45687,5379,45689,45691],{},[42,45678,45679],{},"内置配置",[204,45681,45553],{},[204,45683,45684],{},"\u002Fmcp search",[204,45686,45556],{},[204,45688,45559],{},[204,45690,45562],{}," 都可以在会话中完成，不再手写配置文件。",[39,45693,45694,5072,45697,45700],{},[42,45695,45696],{},"无障碍主题",[204,45698,45699],{},"\u002Ftheme"," 支持 default \u002F dim \u002F high-contrast \u002F colorblind，并自动检测 screen reader。",[197,45702,45704],{"className":199,"code":45703,"language":201,"meta":202,"style":202},"copilot update\ncopilot\n",[204,45705,45706,45713],{"__ignoreMap":202},[207,45707,45708,45710],{"class":209,"line":210},[207,45709,42173],{"class":213},[207,45711,45712],{"class":217}," update\n",[207,45714,45715],{"class":209,"line":224},[207,45716,45717],{"class":213},"copilot\n",[5062,45719,45721],{"id":45720},"agent-finder资源发现开始标准化","Agent Finder：资源发现开始标准化",[26,45723,45724],{},"2026-06-17，GitHub 推出 Agent Finder。它解决的是 2026 年 Agent 工具链的新问题：工具、MCP、skills、私有 registry 越来越多，如果每次都预加载，context 会爆；如果都手动接，开发者又会被配置淹没。",[26,45726,45727],{},"Agent Finder 的思路是：",[630,45729,45730,45733,45736,45739],{},[39,45731,45732],{},"用户用自然语言描述任务。",[39,45734,45735],{},"Copilot 到公开 catalog 或企业私有 registry 里搜索资源。",[39,45737,45738],{},"返回 ranked matches。",[39,45740,45741],{},"用户确认后，Copilot 再按需加载对应工具 \u002F skill。",[26,45743,45744,45745,45748],{},"GitHub 表示它实现了开放的 ",[42,45746,45747],{},"ARD（Agentic Resource Discovery）spec","，并与 Google、GoDaddy、Hugging Face、Microsoft 协作制定。这个方向值得关注：MCP 解决「连工具」，ARD 解决「怎么发现该连哪个工具」。",[5062,45750,45752],{"id":45751},"ai-credits-按量计费2026-06-01-正式启用","AI Credits 按量计费（2026-06-01 正式启用）",[26,45754,45755,45756,45759,45760,45763],{},"自 ",[42,45757,45758],{},"2026-06-01"," 起，Copilot 全面转向 ",[42,45761,45762],{},"AI Credits 按量计费","（1 credit = $0.01），取代原 PRU（Premium Request Units）。核心逻辑：",[36,45765,45766,45772,45777,45784,45787],{},[39,45767,45768,45771],{},[42,45769,45770],{},"基础订阅价不变","：Pro $10（含 $10 credits）、Pro+ $39（含 $39）、Business $19（含 $19）、Enterprise $39（含 $39）",[39,45773,45774,45776],{},[42,45775,45501],{},"——轻度用户体验和成本几乎不变",[39,45778,45779,45780,45783],{},"仅 ",[42,45781,45782],{},"Chat \u002F Agent \u002F PR 评审 \u002F CLI \u002F 超长上下文"," 消耗 credits",[39,45785,45786],{},"取消 fallback；新增企业 \u002F 成本中心 \u002F 用户级预算管控 + pooled usage（额度池化）",[39,45788,45789],{},"Business\u002FEnterprise 6-8 月有促销额度（$30 \u002F $70）；code review 另计 Actions 分钟",[366,45791,45792,45801],{},[369,45793,45794],{},[372,45795,45796,45798],{},[375,45797,5452],{},[375,45799,45800],{},"是否消耗 credits",[390,45802,45803,45810,45817,45825,45832,45839],{},[372,45804,45805,45807],{},[395,45806,44965],{},[395,45808,45809],{},"❌ 免费",[372,45811,45812,45815],{},[395,45813,45814],{},"Next Edit 建议",[395,45816,45809],{},[372,45818,45819,45822],{},[395,45820,45821],{},"Chat 对话",[395,45823,45824],{},"✅ 计费",[372,45826,45827,45830],{},[395,45828,45829],{},"Agent 任务",[395,45831,45824],{},[372,45833,45834,45837],{},[395,45835,45836],{},"PR 评审 \u002F CLI",[395,45838,45824],{},[372,45840,45841,45843],{},[395,45842,32796],{},[395,45844,45824],{},[26,45846,45847,5072,45850,45852,45853,45855],{},[42,45848,45849],{},"模型阵营大扩容",[42,45851,37769],{},"（1T 总参 \u002F 32B 激活 MoE，256K 上下文，Modified MIT）GA 7-01，是 Copilot 首个开源权重可选模型（Azure 托管）；",[42,45854,35301],{}," 家族 7-09 全 IDE 上线；Codex 作为公测 Agent provider 进入 JetBrains（7-07）。",[21,45857,6063],{"id":6063},[26,45859,45860,45865],{},[610,45861,45864],{"href":45862,"rel":45863},"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\u002Fplans",[639],"官方 Plans 页"," 2026 Q2 公开数据：",[366,45867,45868,45878],{},[369,45869,45870],{},[372,45871,45872,45874,45876],{},[375,45873,6078],{},[375,45875,108],{},[375,45877,6083],{},[390,45879,45880,45892,45901,45910,45919,45929],{},[372,45881,45882,45884,45886],{},[395,45883,843],{},[395,45885,707],{},[395,45887,45888,45889],{},"2000 补全\u002F月，Haiku 4.5 + GPT-5 mini，含 Copilot CLI，",[42,45890,45891],{},"无需信用卡",[372,45893,45894,45896,45898],{},[395,45895,849],{},[395,45897,3637],{},[395,45899,45900],{},"无限补全 + Cloud agent + Code review + 第三方 agent（Claude Code \u002F Codex）+ $15 credits",[372,45902,45903,45905,45907],{},[395,45904,30901],{},[395,45906,23251],{},[395,45908,45909],{},"Pro + Opus 等 premium 模型 + 4x usage + $70 credits",[372,45911,45912,45914,45916],{},[395,45913,855],{},[395,45915,1359],{},[395,45917,45918],{},"Pro+ 2.9x + 优先新模型 + $200 credits",[372,45920,45921,45923,45926],{},[395,45922,30638],{},[395,45924,45925],{},"$19\u002Fseat\u002F月",[395,45927,45928],{},"组织管理 + Copilot 策略 + 全代码库语义索引",[372,45930,45931,45933,45936],{},[395,45932,833],{},[395,45934,45935],{},"$39\u002Fseat\u002F月",[395,45937,45938],{},"Business + Enterprise 索引 + 优先模型",[26,45940,45941,5072],{},[42,45942,45943],{},"重要福利",[36,45945,45946,45957,45963],{},[39,45947,45948,5072,45951,45956],{},[42,45949,45950],{},"学生免费",[610,45952,45955],{"href":45953,"rel":45954},"https:\u002F\u002Feducation.github.com\u002Fpack",[639],"GitHub Student Developer Pack"," 认证后直接拿 Pro",[39,45958,45959,45962],{},[42,45960,45961],{},"开源维护者免费","：维护流行开源项目（star 数 + 活跃度门槛）可申请免费 Pro",[39,45964,45965,45968],{},[42,45966,45967],{},"教师免费","：通过 GitHub Education 认证",[21,45970,45972],{"id":45971},"上手-3-分钟","上手 3 分钟",[197,45974,45976],{"className":199,"code":45975,"language":201,"meta":202,"style":202},"# VS Code：扩展市场搜 \"GitHub Copilot\" 装上即可\n# JetBrains：Plugin Marketplace 搜 Copilot\n# Neovim：装 github\u002Fcopilot.vim 仓库\n# Xcode：装 github\u002FCopilotForXcode\n\n# 命令行\nbrew install gh                  # macOS\nwinget install GitHub.cli        # Windows\n# Linux：参考 cli.github.com\n\ngh auth login                    # 登录 GitHub\ngh extension install github\u002Fgh-copilot\ngh copilot suggest \"重启 docker 并清理缓存\"\n",[204,45977,45978,45983,45988,45993,45998,46002,46007,46019,46031,46036,46040,46051,46063],{"__ignoreMap":202},[207,45979,45980],{"class":209,"line":210},[207,45981,45982],{"class":260},"# VS Code：扩展市场搜 \"GitHub Copilot\" 装上即可\n",[207,45984,45985],{"class":209,"line":224},[207,45986,45987],{"class":260},"# JetBrains：Plugin Marketplace 搜 Copilot\n",[207,45989,45990],{"class":209,"line":250},[207,45991,45992],{"class":260},"# Neovim：装 github\u002Fcopilot.vim 仓库\n",[207,45994,45995],{"class":209,"line":257},[207,45996,45997],{"class":260},"# Xcode：装 github\u002FCopilotForXcode\n",[207,45999,46000],{"class":209,"line":264},[207,46001,254],{"emptyLinePlaceholder":253},[207,46003,46004],{"class":209,"line":276},[207,46005,46006],{"class":260},"# 命令行\n",[207,46008,46009,46011,46013,46016],{"class":209,"line":281},[207,46010,1581],{"class":213},[207,46012,241],{"class":217},[207,46014,46015],{"class":217}," gh",[207,46017,46018],{"class":260},"                  # macOS\n",[207,46020,46021,46023,46025,46028],{"class":209,"line":287},[207,46022,41348],{"class":213},[207,46024,241],{"class":217},[207,46026,46027],{"class":217}," GitHub.cli",[207,46029,46030],{"class":260},"        # Windows\n",[207,46032,46033],{"class":209,"line":321},[207,46034,46035],{"class":260},"# Linux：参考 cli.github.com\n",[207,46037,46038],{"class":209,"line":326},[207,46039,254],{"emptyLinePlaceholder":253},[207,46041,46042,46044,46046,46048],{"class":209,"line":332},[207,46043,23804],{"class":213},[207,46045,34183],{"class":217},[207,46047,34186],{"class":217},[207,46049,46050],{"class":260},"                    # 登录 GitHub\n",[207,46052,46053,46055,46058,46060],{"class":209,"line":344},[207,46054,23804],{"class":213},[207,46056,46057],{"class":217}," extension",[207,46059,241],{"class":217},[207,46061,46062],{"class":217}," github\u002Fgh-copilot\n",[207,46064,46065,46067,46070,46073],{"class":209,"line":355},[207,46066,23804],{"class":213},[207,46068,46069],{"class":217}," copilot",[207,46071,46072],{"class":217}," suggest",[207,46074,46075],{"class":217}," \"重启 docker 并清理缓存\"\n",[26,46077,46078],{},"IDE 中：登录 GitHub 账号 → 同意订阅 → 直接用。Free 档不需要任何信用卡。",[21,46080,6197],{"id":6197},[630,46082,46083,46088,46097,46102],{},[39,46084,46085,46087],{},[42,46086,34245],{},"：注册 GitHub 即可，国内号 ok，但偶发要海外手机验证",[39,46089,46090,46092,46093,46096],{},[42,46091,34256],{},"：插件 push \u002F pull 走 api.github.com 和 copilot-proxy.githubusercontent.com，国内",[42,46094,46095],{},"必须有稳定代理","，否则补全卡顿到不可用",[39,46098,46099,46101],{},[42,46100,11197],{},"：Pro 付款渠道有限——Apple 礼品卡（macOS）、Google Play（Android）、海外卡。第三方代付方案少",[39,46103,46104,1962,46106,6035,46108,46110],{},[42,46105,6226],{},[610,46107,22375],{"href":22374},[610,46109,22688],{"href":44804}," + 国产模型，国内体验更顺畅",[21,46112,6239],{"id":6239},[366,46114,46115,46135],{},[369,46116,46117],{},[372,46118,46119,46121,46123,46127,46131],{},[375,46120,377],{},[375,46122,34462],{},[375,46124,46125],{},[610,46126,1058],{"href":5867},[375,46128,46129],{},[610,46130,33017],{"href":33016},[375,46132,46133],{},[610,46134,22375],{"href":22374},[390,46136,46137,46150,46164,46177,46193,46208,46222,46236,46251],{},[372,46138,46139,46141,46144,46146,46148],{},[395,46140,2367],{},[395,46142,46143],{},"插件（VS Code\u002FJetBrains 等）",[395,46145,34307],{},[395,46147,34307],{},[395,46149,22709],{},[372,46151,46152,46155,46157,46160,46162],{},[395,46153,46154],{},"多 IDE 覆盖",[395,46156,6315],{},[395,46158,46159],{},"★★☆☆☆ 仅自家",[395,46161,46159],{},[395,46163,5579],{},[372,46165,46166,46169,46171,46173,46175],{},[395,46167,46168],{},"补全速度",[395,46170,5579],{},[395,46172,5579],{},[395,46174,6315],{},[395,46176,5585],{},[372,46178,46179,46182,46185,46188,46191],{},[395,46180,46181],{},"Agent 模式",[395,46183,46184],{},"★★★★☆ Agent Mode",[395,46186,46187],{},"★★★★★ Composer",[395,46189,46190],{},"★★★★★ Cascade",[395,46192,5579],{},[372,46194,46195,46198,46201,46204,46206],{},[395,46196,46197],{},"云端后台 Agent",[395,46199,46200],{},"★★★★★ Coding Agent",[395,46202,46203],{},"⚠️ Bug bot",[395,46205,426],{},[395,46207,426],{},[372,46209,46210,46212,46215,46217,46219],{},[395,46211,9752],{},[395,46213,46214],{},"★★★★★ 多家",[395,46216,5579],{},[395,46218,5579],{},[395,46220,46221],{},"★★★★★ BYOK",[372,46223,46224,46227,46230,46232,46234],{},[395,46225,46226],{},"企业合规",[395,46228,46229],{},"★★★★★ SOC2\u002FISO",[395,46231,5579],{},[395,46233,5585],{},[395,46235,5585],{},[372,46237,46238,46241,46244,46246,46248],{},[395,46239,46240],{},"免费档",[395,46242,46243],{},"★★★★☆ 2000\u002F月",[395,46245,5585],{},[395,46247,5579],{},[395,46249,46250],{},"完全免费（自带 API）",[372,46252,46253,46255,46257,46259,46261],{},[395,46254,34393],{},[395,46256,2461],{},[395,46258,2461],{},[395,46260,2461],{},[395,46262,10650],{},[26,46264,46265,5072],{},[42,46266,11441],{},[36,46268,46269,46275,46281,46290],{},[39,46270,46271,46274],{},[42,46272,46273],{},"公司发账号 \u002F 团队"," → GitHub Copilot Business",[39,46276,46277,46280],{},[42,46278,46279],{},"个人海外 + 想要稳定生态"," → Pro $10\u002F月",[39,46282,46283,11466,46286,6035,46288],{},[42,46284,46285],{},"追求 IDE 级 Agent 激进度",[610,46287,1058],{"href":5867},[610,46289,33017],{"href":33016},[39,46291,46292,11466,46295,6035,46297,46299],{},[42,46293,46294],{},"国内 \u002F 完全自主可控",[610,46296,22375],{"href":22374},[610,46298,22688],{"href":44804}," + 国产模型",[21,46301,6457],{"id":6457},[36,46303,46304,46310,46316,46322,46332,46341,46347,46353,46359],{},[39,46305,46306,46309],{},[42,46307,46308],{},"AI Credits 制下重度 Agent 用户要算账","：单行补全和 Next Edit 免费，但 Chat\u002FAgent\u002FPR 评审都计费，Sol 级模型一次复杂 agent 任务可能耗掉不少 credits，重度使用建议用企业版的预算管控 + 额度池化",[39,46311,46312,46315],{},[42,46313,46314],{},"Kimi K2.7 默认关（企业版）","：Business\u002FEnterprise 需管理员在后台开启才能选用 Kimi K2.7 Code",[39,46317,46318,46321],{},[42,46319,46320],{},"Coding Agent 跑在 Actions 上","：你的 Actions minutes 会被消耗，免费仓库够用，私有仓库要注意账单",[39,46323,46324,46327,46328,46331],{},[42,46325,46326],{},"Agent Mode 默认权限要 review","：第一次跑会让你授权\"能改文件 \u002F 能跑命令\"，团队建议设置 ",[204,46329,46330],{},".github\u002Fcopilot-instructions.md"," 把规则成文",[39,46333,46334,46340],{},[42,46335,46336,46337,46339],{},"不要把 ",[204,46338,10580],{}," 暴露","：Copilot 自带模型供给，不需要你的 API key",[39,46342,46343,46346],{},[42,46344,46345],{},"国内首次激活有\"需要海外手机\"的概率事件","：失败时换网络环境或换手机号",[39,46348,46349,46352],{},[42,46350,46351],{},"JetBrains 插件偶发崩溃","：IDE 端体验略落后 VS Code，遇到崩溃先升 plugin 版本",[39,46354,46355,46358],{},[42,46356,46357],{},"Agent Finder 不等于自动装工具","：它只负责发现和推荐，企业管理员仍应控制允许的 registry；不要把未知 MCP server 直接接进生产仓库",[39,46360,46361,46364],{},[42,46362,46363],{},"Pro+ \u002F Max 是个人订阅，不能给团队共享","：要团队就上 Business",[21,46366,575],{"id":574},[26,46368,6528],{},[36,46370,46371,46374,46377,46380,46383],{},[39,46372,46373],{},"已经全员在 GitHub 的团队（开 Business 最省事）",[39,46375,46376],{},"个人海外开发者，重视生态稳定",[39,46378,46379],{},"学生 \u002F 开源维护者（薅免费 Pro）",[39,46381,46382],{},"多 IDE 切换的开发者（VS Code + JetBrains + Neovim）",[39,46384,46385],{},"需要\"issue → PR\"自动化流程",[26,46387,6548],{},[36,46389,46390,46400,46407,46413],{},[39,46391,46392,46393,6035,46397,2337],{},"国内首选 IDE 体验（去 ",[610,46394,46396],{"href":46395},"\u002Fcoding\u002Fide\u002Ftrae.html","Trae",[610,46398,46399],{"href":5867},"Cursor 国内代付",[39,46401,46402,46403,6035,46405,2337],{},"想要最激进的多文件 Agent（去 ",[610,46404,1058],{"href":5867},[610,46406,33017],{"href":33016},[39,46408,46409,46410,46412],{},"私有部署 \u002F 数据不出网（",[610,46411,22688],{"href":44804}," + 自建模型）",[39,46414,46415],{},"反对一切 credit 制",[21,46417,604],{"id":604},[36,46419,46420,46434,46442,46456],{},[39,46421,6576,46422,6035,46424,6035,46426,6035,46428,6035,46430,6035,46432],{},[610,46423,1058],{"href":5867},[610,46425,33017],{"href":33016},[610,46427,46396],{"href":46395},[610,46429,1790],{"href":13587},[610,46431,22375],{"href":22374},[610,46433,1796],{"href":33105},[39,46435,6587,46436,6035,46438,6035,46440],{},[610,46437,6591],{"href":6590},[610,46439,1850],{"href":12453},[610,46441,11638],{"href":11637},[39,46443,6598,46444,6035,46446,6035,46448,6035,46452],{},[610,46445,35301],{"href":35300},[610,46447,33566],{"href":33565},[610,46449,46451],{"href":46450},"\u002Fmodels\u002Fkimi-k3.html","Kimi K3",[610,46453,46455],{"href":46454},"\u002Fmodels\u002Fgemini-3-pro.html","Gemini 3 Pro",[39,46457,6613,46458,6035,46460],{},[610,46459,34604],{"href":34603},[610,46461,6621],{"href":6620},[21,46463,628],{"id":628},[36,46465,46466,46472,46477,46484,46487],{},[39,46467,6628,46468],{},[610,46469,46470],{"href":46470,"rel":46471},"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot",[639],[39,46473,14244,46474],{},[610,46475,45862],{"href":45862,"rel":46476},[639],[39,46478,46479,46480],{},"企业文档：",[610,46481,46482],{"href":46482,"rel":46483},"https:\u002F\u002Fdocs.github.com\u002Fen\u002Fenterprise-cloud@latest\u002Fcopilot\u002Fget-started\u002Fplans",[639],[39,46485,46486],{},"公告：github.blog",[39,46488,46489],{},"第三方评测：augmentcode.com \u002F tossitt.com \u002F 4geeks.com",[26,46491,46492,46493,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 模型 \u002F 功能与最新官方信息不一致，请通过 ",[610,46494,6647],{"href":6646},[662,46496,46497],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}",{"title":202,"searchDepth":250,"depth":250,"links":46499},[46500,46501,46509,46510,46511,46512,46513,46514,46515,46516],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":46502},[46503,46504,46505,46506,46507,46508],{"id":45518,"depth":250,"text":45519},{"id":45571,"depth":250,"text":45572},{"id":45609,"depth":250,"text":45610},{"id":45642,"depth":250,"text":45643},{"id":45720,"depth":250,"text":45721},{"id":45751,"depth":250,"text":45752},{"id":6063,"depth":224,"text":6063},{"id":45971,"depth":224,"text":45972},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fgithub-copilot.webp","GitHub Copilot 真实评测：微软+OpenAI 出品的 IDE 插件鼻祖，覆盖 VS Code \u002F JetBrains \u002F Neovim \u002F Visual Studio。Copilot Chat、Agent Mode、Coding Agent、Copilot CLI 新终端界面、Agent Finder 多模型资源发现一应俱全。AIHO 编辑部基于官方文档与多份评测整理。",[696,697],{},[34673,46522,37842,36566,46523],"gpt-5.6","haiku-4.5",[46525,46526,46527],"完全无网络代理的国内开发者","追求最激进的多文件 Agent（去 Cursor \u002F Windsurf）","想私有部署 \u002F 数据不出网（去 Continue.dev）",[1349,1348,1350],[46530,46533,46536,46538,46540,46544],{"plan":843,"price":707,"limit":46531,"cn_pay":5724,"note":46532},"2,000 completions\u002F月 + Haiku\u002FGPT-5 mini + Copilot CLI","学生免费升级 Pro",{"plan":849,"price":3637,"limit":46534,"cn_pay":46535,"note":6690},"无限补全 + Cloud agent + Code review + $15 credits","⚠️ 需海外卡 \u002F Apple 礼品卡",{"plan":30901,"price":23251,"limit":46537,"cn_pay":6363,"note":23127},"Pro + Opus 等 premium 模型 + 4x credits ($70)",{"plan":855,"price":1359,"limit":45918,"cn_pay":6363,"note":46539},"高并发 agent",{"plan":30638,"price":45925,"limit":46541,"cn_pay":46542,"note":46543},"组织管理 + 策略控制 + 代码库索引","✅ 企业发票","团队首选",{"plan":833,"price":45935,"limit":46545,"cn_pay":1100,"note":31096},"Business + 优先模型 + 更大 AI credits","Free \u002F Pro $10\u002Fmo \u002F Pro+ $39\u002Fmo \u002F Max $100\u002Fmo \u002F Business $19 seat \u002F Enterprise $39 seat",{"power":257,"ux":264,"price":257,"cn_support":250,"stability":264},{"title":34462,"description":46518},"GitHub Copilot 评测 2026：微软 AI 编程助手，VS Code 集成，Copilot Chat 功能",[46551,46553,46555,46557,46559,46562,46565,46568,46571,46574],{"title":46552,"url":46470},"GitHub Copilot 官方",{"title":46554,"url":45862},"Copilot Plans & Pricing",{"title":46556,"url":46482},"Copilot Enterprise Docs",{"title":46558,"url":45577},"Agent Mode GA Blog",{"title":46560,"url":46561},"MCP Support Public Preview","https:\u002F\u002Fgithub.blog\u002Fchangelog\u002F2025\u002F04\u002F04\u002Fgithub-copilot-now-supports-mcp-servers-in-public-preview-in-vs-code\u002F",{"title":46563,"url":46564},"Copilot vs Intent 2026 评测","https:\u002F\u002Fwww.augmentcode.com\u002Ftools\u002Fintent-vs-github-copilot",{"title":46566,"url":46567},"Copilot 2026 完整指南","https:\u002F\u002Ftossitt.com\u002Fgithub-copilot-guide-2026",{"title":46569,"url":46570},"Copilot CLI 新终端界面 GA","https:\u002F\u002Fgithub.blog\u002Fchangelog\u002F2026-06-23-copilot-cli-new-terminal-interface-is-generally-available\u002F",{"title":46572,"url":46573},"Agent Finder for GitHub Copilot","https:\u002F\u002Fgithub.blog\u002Fchangelog\u002F2026-06-17-agent-finder-for-github-copilot-now-available\u002F",{"title":46575,"url":46576},"AI Credits 计费模型（github.blog changelog）","https:\u002F\u002Fgithub.blog\u002Fchangelog\u002F","tools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot",[46579,46580,46581,46582,46583],"已经在用 GitHub 的所有人（最低成本）","团队 \u002F 企业（合规、SOC2、ISO 27001）","JetBrains 用户 \u002F Neovim \u002F Visual Studio \u002F Xcode","学生 \u002F 开源维护者（免费 Pro 资格）","需要 Coding Agent 自动从 issue 生成 PR","AI Copilot 鼻祖，VS Code \u002F JetBrains \u002F Neovim 全家桶覆盖",[42173,22299,22300,24207,46586,46587],"agent-mode","coding-agent","插件生态最稳的选择，免费档大方，国内用稳定代理 + GitHub 账号即可。Agent Mode 已经能跟 Cursor 掰手腕，Coding Agent 能直接在 GitHub 上跑后台 PR。","RHUQzZF5-aORzSz3_GLMXnBKixnS3YsMwKake8dE0cY",{"id":46591,"title":46592,"alternatives":46593,"api_compatible":16,"body":46595,"category":42173,"chinese_friendly":264,"cover":47011,"description":47012,"domestic":680,"extension":681,"faq":47013,"free":680,"github":16,"languages":47026,"lastVerified":16,"meta":47027,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":47028,"pillar":22297,"platforms":47029,"priceTable":47030,"pricing":47048,"published":720,"relatedPlaybooks":47049,"relatedReviews":47050,"score":47051,"self_host":680,"seo":47052,"seoTitle":47053,"slug":44117,"sources":47054,"stem":47061,"suitable":16,"tagline":47062,"tags":47063,"updated":732,"verdict":47068,"website":47069,"__hash__":47070},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Fmarscode.md","豆包 MarsCode \u002F TRAE",[46594,41792,42199,21827],"coding\u002Fide\u002Ftrae",{"type":18,"value":46596,"toc":46999},[46597,46599,46606,46626,46633,46642,46645,46647,46696,46698,46701,46714,46719,46723,46727,46747,46751,46768,46770,46793,46795,46892,46894,46926,46928,46951,46953,46974,46976],[21,46598,24],{"id":23},[26,46600,46601,46602,46605],{},"豆包 MarsCode 是字节跳动 2024 年推出的 AI 编程助手，2025 年品牌升级为 ",[42,46603,46604],{},"TRAE","（The Real AI Engineer）。产品现在三件套：",[36,46607,46608,46614,46620],{},[39,46609,46610,46613],{},[42,46611,46612],{},"TRAE 桌面端","：AI 原生 IDE，主打 Builder \u002F SOLO \u002F Chat 多模式",[39,46615,46616,46619],{},[42,46617,46618],{},"TRAE 插件（原 MarsCode 编程助手）","：VS Code \u002F JetBrains 插件形态",[39,46621,46622,46625],{},[42,46623,46624],{},"MarsCode Cloud IDE","：浏览器云开发环境",[26,46627,46628,46629,46632],{},"底层走豆包大模型 + 字节方舟多模型路由。",[42,46630,46631],{},"核心免费 + 中文体验顶级 + Builder \u002F SOLO 自主模式","，是国内最低门槛的 AI 编程入口之一。",[130,46634,46635],{},[26,46636,46637,46638,46641],{},"⚠️ 重要：TRAE IDE 桌面端的完整评测见 ",[610,46639,46640],{"href":46640},"\u002Ftools\u002Fcoding\u002Fide\u002Ftrae","。本文聚焦 MarsCode \u002F TRAE 插件 + Cloud IDE 形态。",[26,46643,46644],{},"适合：国内开发者零成本上手、想做小程序 \u002F 字节生态业务、需要 Cloud IDE 远程开发、追求中文体验顶级的用户。不适合：海外纯英文团队、对官方持续承诺免费有刚性预期的团队。",[21,46646,34],{"id":34},[36,46648,46649,46655,46661,46667,46673,46679,46685,46691],{},[39,46650,46651,46654],{},[42,46652,46653],{},"TRAE 插件","：补全 \u002F Code Generation \u002F 代码解释 \u002F Bug Fix \u002F 多模型切换 \u002F Builder Mode",[39,46656,46657,46660],{},[42,46658,46659],{},"SOLO 模式（桌面端）","：AI 全流程自主开发，编辑器 + 终端 + 浏览器一体",[39,46662,46663,46666],{},[42,46664,46665],{},"Builder 模式","：自然语言一句话生成项目框架（含 Dockerfile）",[39,46668,46669,46672],{},[42,46670,46671],{},"Chat 模式","：跨文件代码调试与优化，全链路问题定位",[39,46674,46675,46678],{},[42,46676,46677],{},"多模态引擎","：Figma → 响应式 CSS、移动端布局适配",[39,46680,46681,46684],{},[42,46682,46683],{},"Cloud IDE","：浏览器云端环境、Git 仓库导入、模板项目、实时预览",[39,46686,46687,46690],{},[42,46688,46689],{},"50+ 语言、100+ 框架","：含微信 \u002F 支付宝 \u002F 抖音小程序、Taro \u002F uni-app",[39,46692,46693,46695],{},[42,46694,11247],{},"：团队协作 \u002F 权限管理 \u002F 工作区、咨询定制",[21,46697,21878],{"id":21877},[26,46699,46700],{},"基础三件套全免费。重度场景：",[36,46702,46703,46709],{},[39,46704,46705,46708],{},[42,46706,46707],{},"方舟 Coding Plan","：字节方舟平台订阅，含高级模型 \u002F 高额度（咨询）",[39,46710,46711,46713],{},[42,46712,11247],{},"：团队协作 \u002F 权限 \u002F 定制 AI 方案，400-034-7888",[130,46715,46716],{},[26,46717,46718],{},"与 GitHub Copilot $10\u002F月 相比，TRAE 插件 + 桌面端基础功能完全免费且字节算力支撑。",[21,46720,46722],{"id":46721},"实测小程序-nextjs-项目","实测（小程序 + Next.js 项目）",[26,46724,46725],{},[42,46726,143],{},[36,46728,46729,46732,46735,46738,46741,46744],{},[39,46730,46731],{},"国产框架适配优秀：Taro 生命周期、Ant Design Pro 语法准确，写小程序代码不用查文档",[39,46733,46734],{},"Builder 模式生成 Next.js 商品页面 8 分钟内可跑",[39,46736,46737],{},"SOLO 模式给『部署购物车』指令，AI 自动跑 PRD → 代码 → 测试，整段流程闭环",[39,46739,46740],{},"中文需求识别接近 100%，海外工具常见的语义偏差几乎没有",[39,46742,46743],{},"Cloud IDE 响应 \u003C 1.5 秒，远程开发体验顺滑",[39,46745,46746],{},"数据：声称代码生成准确率 98%、不用于模型训练",[26,46748,46749],{},[42,46750,168],{},[36,46752,46753,46756,46759,46762,46765],{},[39,46754,46755],{},"SOLO 模式偶尔卡在『构思 → 执行』过渡，需手动 retry",[39,46757,46758],{},"桌面端和插件功能差异：Builder 在桌面端更顺",[39,46760,46761],{},"客户端首次启动加载较慢",[39,46763,46764],{},"海外节点访问国内代码仓不稳",[39,46766,46767],{},"文档对老牌 IDE（如 Vim）支持稀薄",[21,46769,936],{"id":936},[630,46771,46772,46778,46781,46784,46787,46790],{},[39,46773,46774,46775],{},"trae.cn 下载桌面端（Win \u002F macOS \u002F Linux）—— ",[42,46776,46777],{},"桌面端是当下产品主力",[39,46779,46780],{},"或 VS Code \u002F JetBrains 装 \"TRAE\" 插件（原 MarsCode 编程助手）",[39,46782,46783],{},"字节账号登录",[39,46785,46786],{},"Builder 模式：写一句『生成 Next.js 后台模板』 → 生成完整项目",[39,46788,46789],{},"SOLO 模式：写需求 → AI 全自动跑",[39,46791,46792],{},"Cloud IDE：访问 marscode.com 用浏览器云端开发",[21,46794,364],{"id":364},[366,46796,46797,46812],{},[369,46798,46799],{},[372,46800,46801,46803,46806,46808,46810],{},[375,46802,377],{},[375,46804,46805],{},"TRAE \u002F MarsCode",[375,46807,41418],{},[375,46809,42438],{},[375,46811,42196],{},[390,46813,46814,46826,46839,46852,46865,46880],{},[372,46815,46816,46818,46820,46822,46824],{},[395,46817,42956],{},[395,46819,12512],{},[395,46821,42474],{},[395,46823,43843],{},[395,46825,43846],{},[372,46827,46828,46830,46833,46835,46837],{},[395,46829,11157],{},[395,46831,46832],{},"豆包大模型",[395,46834,39754],{},[395,46836,42975],{},[395,46838,42452],{},[372,46840,46841,46843,46846,46848,46850],{},[395,46842,42482],{},[395,46844,46845],{},"✅ Builder + SOLO",[395,46847,1100],{},[395,46849,42488],{},[395,46851,42485],{},[372,46853,46854,46856,46859,46861,46863],{},[395,46855,46683],{},[395,46857,46858],{},"✅ 原 MarsCode",[395,46860,443],{},[395,46862,443],{},[395,46864,443],{},[372,46866,46867,46870,46873,46875,46877],{},[395,46868,46869],{},"小程序支持",[395,46871,46872],{},"✅ 多平台",[395,46874,440],{},[395,46876,443],{},[395,46878,46879],{},"微信优先",[372,46881,46882,46884,46886,46888,46890],{},[395,46883,42236],{},[395,46885,1100],{},[395,46887,440],{},[395,46889,42515],{},[395,46891,42512],{},[21,46893,521],{"id":521},[36,46895,46896,46902,46908,46914,46920],{},[39,46897,46898,46901],{},[42,46899,46900],{},"桌面端 vs 插件先选对","：插件适合不换 IDE 的用户；桌面端 Builder \u002F SOLO 体验完整但要切换 IDE",[39,46903,46904,46907],{},[42,46905,46906],{},"SOLO 任务先小再大","：复杂目标拆 2–3 段 SOLO 串行跑，比一次性大任务成功率高",[39,46909,46910,46913],{},[42,46911,46912],{},"免费策略别永久押注","：字节方舟 Coding Plan 已分档收费，长期重度 dev 建议关注订阅",[39,46915,46916,46919],{},[42,46917,46918],{},"Cloud IDE 注意私密代码","：仍是云端环境，敏感项目走桌面 + 本地",[39,46921,46922,46925],{},[42,46923,46924],{},"Mac M1 \u002F M2 用户","：桌面端原生 Apple Silicon 支持已稳定",[21,46927,575],{"id":574},[36,46929,46930,46933,46936,46939,46942,46945,46948],{},[39,46931,46932],{},"✅ 国内开发者零成本上手",[39,46934,46935],{},"✅ 字节生态业务 \u002F 小程序团队",[39,46937,46938],{},"✅ 想试 SOLO 全自主开发",[39,46940,46941],{},"✅ 需要 Cloud IDE 远程开发",[39,46943,46944],{},"❌ 海外纯英文 \u002F 完全无字节业务",[39,46946,46947],{},"❌ 对官方长期免费有刚性预期",[39,46949,46950],{},"❌ 重度依赖 VS Code 闭源插件",[21,46952,604],{"id":604},[36,46954,46955,46960,46964,46968],{},[39,46956,46957],{},[610,46958,46959],{"href":46640},"TRAE IDE 桌面端评测",[39,46961,46962],{},[610,46963,42611],{"href":42610},[39,46965,46966],{},[610,46967,42605],{"href":42604},[39,46969,46970],{},[610,46971,46973],{"href":46972},"\u002Fplaybook\u002Fonboarding\u002Fclaude-code-getting-started","Claude Code 上手 Playbook",[21,46975,628],{"id":628},[630,46977,46978,46985,46992],{},[39,46979,46980,46981],{},"TRAE 官方插件页（含 Builder 模式细节）",[610,46982,46983],{"href":46983,"rel":46984},"https:\u002F\u002Fwww.trae.cn\u002Fplugin",[639],[39,46986,46987,46988],{},"MarsCode 官网（Cloud IDE 形态仍在）",[610,46989,46990],{"href":46990,"rel":46991},"https:\u002F\u002Fwww.marscode.com\u002Fhome",[639],[39,46993,46994,46995],{},"AIGC 工具导航 — 豆包 MarsCode 详细介绍 ",[610,46996,46997],{"href":46997,"rel":46998},"https:\u002F\u002Fwww.aigc.cn\u002Fmarscode",[639],{"title":202,"searchDepth":250,"depth":250,"links":47000},[47001,47002,47003,47004,47005,47006,47007,47008,47009,47010],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":21877,"depth":224,"text":21878},{"id":46721,"depth":224,"text":46722},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fmarscode.webp","MarsCode \u002F TRAE 2026 真实评测：字节豆包 AI 编程助手，从原 MarsCode 插件、Cloud IDE 升级到 TRAE 桌面 IDE。本文整理 Builder、SOLO、Figma 转代码、免费策略、方舟 Coding Plan，以及和 Cursor、通义灵码、CodeGeeX 的选择建议。",[47014,47017,47020,47023],{"q":47015,"a":47016},"MarsCode 和 TRAE 是同一个产品吗？","同一个团队、同一个豆包大模型底座。2025 改名 TRAE 后，产品形态从『云 IDE + 插件』演变成『独立桌面 IDE（TRAE）+ TRAE 插件（原 MarsCode 编程助手）+ MarsCode Cloud IDE』三件套。账号互通。",{"q":47018,"a":47019},"SOLO 模式具体能干嘛？","2025-07 开放：AI 化身工程师，自动调度编辑器 \u002F 终端 \u002F 浏览器。一句『部署购物车系统』 → 自动出 PRD、写代码、跑测试、给部署链接。支持语音指令和图像输入。",{"q":47021,"a":47022},"Builder 模式和 SOLO 模式区别？","Builder = 项目脚手架生成（『生成带支付的电商 demo』 → 完整项目结构 + 接口示例 + Dockerfile）；SOLO = 全流程自主交付（从 PRD 到部署）。Builder 偏前期，SOLO 偏闭环。",{"q":47024,"a":47025},"完全免费的策略能持续多久？","字节官方目前未给免费时限。方舟 Coding Plan 已开始出现订阅档（重度模型 \u002F 高额度），趋势是基础免费 + 高阶订阅。长期建议做好『免费版可能限频』预案。",[696,697],{},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Fmarscode",[22299,22300,1349,1348,1350],[47031,47034,47037,47040,47044],{"plan":46612,"price":12512,"features":47032,"notes":47033},"Builder \u002F SOLO \u002F 多模型切换 \u002F Chat \u002F 补全","Windows \u002F macOS \u002F Linux",{"plan":47035,"price":12512,"features":47036,"notes":45308},"TRAE 插件（原 MarsCode）","补全 \u002F 注释 \u002F 单测 \u002F Code Review \u002F 智能问答",{"plan":46624,"price":12512,"features":47038,"notes":47039},"浏览器云端开发环境 \u002F Git 仓库 \u002F 模板","原 MarsCode 主打",{"plan":46707,"price":47041,"features":47042,"notes":47043},"订阅制（咨询）","高级模型 \u002F 高额度 \u002F 企业能力","字节方舟平台",{"plan":11247,"price":47045,"features":47046,"notes":47047},"咨询","团队协作 \u002F 权限 \u002F 定制 AI 方案","400-034-7888","免费起步 \u002F 方舟 Coding Plan 订阅 \u002F 企业咨询定制",[28001,25341],[42707,42708],{"power":257,"ux":264,"price":264,"cn_support":264,"stability":257},{"title":46592,"description":47012},"MarsCode \u002F TRAE 评测 2026：字节豆包 AI 编程助手怎么选",[47055,47057,47059],{"name":47056,"url":46983,"accessed":732},"TRAE 官方插件页",{"name":47058,"url":46990,"accessed":732},"MarsCode 官网（仍可访问）",{"name":47060,"url":46997,"accessed":732},"AIGC 工具导航 — 豆包 MarsCode 介绍","tools\u002Fcoding\u002Fcopilot\u002Fmarscode","字节跳动豆包 AI 编程助手：TRAE IDE + 插件 + Cloud IDE 三件套",[42173,14338,11779,47064,47065,43202,29838,47066,47067],"doubao","trae","solo","marscode","字节系免费 AI 编程主力。SOLO \u002F Builder 两个自主模式 + 字节研发资源 + 长期免费策略让国内开发者门槛极低。MarsCode 原 Cloud IDE 仍在但产品重心已迁到 TRAE 桌面端。","https:\u002F\u002Fwww.trae.cn","JZI6CkoiZ1oQugnDWXjWsfdU8Y3CBuAZZrQeTP6Ia4Q",{"id":47072,"title":37023,"alternatives":47073,"api_compatible":16,"body":47074,"category":42173,"chinese_friendly":250,"cover":47458,"description":47459,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":47460,"lastVerified":2637,"meta":47461,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":47462,"pillar":22297,"platforms":47463,"priceTable":16,"pricing":47464,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":47465,"self_host":680,"seo":47466,"seoTitle":47467,"slug":47468,"sources":47469,"stem":47471,"suitable":16,"tagline":47472,"tags":47473,"updated":2637,"verdict":47474,"website":47443,"__hash__":47475},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Ftabnine.md",[21827,42199,41792],{"type":18,"value":47075,"toc":47445},[47076,47078,47085,47088,47090,47137,47139,47143,47186,47189,47191,47197,47214,47218,47235,47237,47257,47259,47342,47344,47376,47378,47401,47403,47409,47415,47421,47423,47431,47433,47437],[21,47077,24],{"id":23},[26,47079,47080,47081,47084],{},"Tabnine 是 AI 代码补全领域的老兵（2019 年就出道），核心卖点是",[42,47082,47083],{},"私有化部署 + 企业级数据安全","。它不依赖外部 API 调用，可以在企业内网完全闭环运行，代码不外泄。补全能力稳定但相比 Copilot \u002F Cursor 已有代差，强在安全和合规。",[26,47086,47087],{},"适合：金融 \u002F 医疗 \u002F 国防等对数据隐私要求极高的企业、需要私有化部署的团队、代码不能上云的合规场景。不适合：追求最强模型能力的个人开发者、预算敏感的小团队（$12\u002F月偏贵）、需要深度代码理解的用户。",[21,47089,34],{"id":34},[36,47091,47092,47097,47103,47109,47114,47119,47125,47131],{},[39,47093,47094,47096],{},[42,47095,104],{},"：支持本地服务器 \u002F 内网部署，代码数据完全不离开企业网络",[39,47098,47099,47102],{},[42,47100,47101],{},"多模型策略","：小模型本地推理（毫秒级补全）+ 大模型按需调用，兼顾速度和能力",[39,47104,47105,47108],{},[42,47106,47107],{},"团队模型微调","：Enterprise 版可基于团队私有代码库微调专属补全模型",[39,47110,47111,47113],{},[42,47112,41844],{},"：VS Code、IntelliJ、PyCharm、WebStorm 等 20+ IDE \u002F 编辑器",[39,47115,47116,47118],{},[42,47117,41815],{},"：行内补全 + 多行补全 + 函数级补全，支持 50+ 编程语言",[39,47120,47121,47124],{},[42,47122,47123],{},"隐私承诺","：明确承诺不使用用户代码训练公共模型，SOC 2 \u002F GDPR 合规",[39,47126,47127,47130],{},[42,47128,47129],{},"中央管理","：企业管理后台统一管控策略、用户、模型配置",[39,47132,47133,47136],{},[42,47134,47135],{},"Connect 功能","：读取本地代码库上下文，提供更精准的补全（Pro 以上）",[21,47138,108],{"id":108},[130,47140,47141],{},[26,47142,41864],{},[366,47144,47145,47155],{},[369,47146,47147],{},[372,47148,47149,47151,47153],{},[375,47150,9528],{},[375,47152,108],{},[375,47154,9533],{},[390,47156,47157,47167,47177],{},[372,47158,47159,47162,47164],{},[395,47160,47161],{},"Basic",[395,47163,707],{},[395,47165,47166],{},"基础补全（小模型），有限语言",[372,47168,47169,47171,47174],{},[395,47170,849],{},[395,47172,47173],{},"$12\u002F月",[395,47175,47176],{},"全语言补全 + 大模型 + Connect 上下文",[372,47178,47179,47181,47183],{},[395,47180,833],{},[395,47182,10045],{},[395,47184,47185],{},"私有化部署 + 团队微调 + 中央管理",[26,47187,47188],{},"Pro $12\u002F月比 Copilot（$10）贵，但价值在私有化能力。Basic 免费版能力较弱，仅适合尝鲜。",[21,47190,2241],{"id":2240},[130,47192,47193],{},[26,47194,2246,47195],{},[42,47196,143],{},[36,47198,47199,47202,47205,47208,47211],{},[39,47200,47201],{},"私有化部署体验最成熟：内网装好服务器后，客户端零配置连接，IT 部门友好",[39,47203,47204],{},"补全稳定性好，延迟低（本地小模型 \u003C 100ms），不会因网络波动断补全",[39,47206,47207],{},"团队微调效果明显：在团队专属代码风格 \u002F 框架上补全准确率提升显著",[39,47209,47210],{},"多 IDE 支持覆盖广，JetBrains 全家桶体验一致",[39,47212,47213],{},"隐私合规文档完善，过企业安全审计省心",[26,47215,47216],{},[42,47217,168],{},[36,47219,47220,47223,47226,47229,47232],{},[39,47221,47222],{},"补全能力和 Copilot \u002F Cursor 有明显差距，复杂逻辑补全经常不到位",[39,47224,47225],{},"大模型调用有延迟（秒级），不如 Copilot 的行云流水",[39,47227,47228],{},"$12\u002F月定价偏高，个人用户性价比不如 Copilot",[39,47230,47231],{},"中文注释 \u002F 变量名的补全质量一般",[39,47233,47234],{},"界面交互较老派，不如新一代工具精致",[21,47236,936],{"id":936},[630,47238,47239,47242,47245,47248,47251,47254],{},[39,47240,47241],{},"在 Tabnine 官网注册账号，下载对应 IDE 插件",[39,47243,47244],{},"安装插件后重启 IDE，登录 Tabnine 账号",[39,47246,47247],{},"免费版直接可用；升级 Pro 解锁全语言 + 大模型",[39,47249,47250],{},"开启 Connect 功能（Pro），让它读取项目上下文提升补全质量",[39,47252,47253],{},"企业用户：联系销售部署 Enterprise 版，配置内网服务器",[39,47255,47256],{},"在设置中调整补全触发方式、延迟、隐私选项",[21,47258,364],{"id":364},[366,47260,47261,47273],{},[369,47262,47263],{},[372,47264,47265,47267,47269,47271],{},[375,47266,377],{},[375,47268,37023],{},[375,47270,34462],{},[375,47272,41418],{},[390,47274,47275,47287,47297,47310,47320,47330],{},[372,47276,47277,47279,47282,47284],{},[395,47278,104],{},[395,47280,47281],{},"✅ 成熟",[395,47283,426],{},[395,47285,47286],{},"✅（企业版）",[372,47288,47289,47291,47293,47295],{},[395,47290,42004],{},[395,47292,2458],{},[395,47294,10213],{},[395,47296,36427],{},[372,47298,47299,47302,47305,47308],{},[395,47300,47301],{},"数据隐私",[395,47303,47304],{},"强（本地推理）",[395,47306,47307],{},"中（代码上传）",[395,47309,2458],{},[372,47311,47312,47314,47316,47318],{},[395,47313,108],{},[395,47315,47173],{},[395,47317,3637],{},[395,47319,12512],{},[372,47321,47322,47324,47326,47328],{},[395,47323,16470],{},[395,47325,1815],{},[395,47327,1815],{},[395,47329,10213],{},[372,47331,47332,47335,47338,47340],{},[395,47333,47334],{},"企业管理",[395,47336,47337],{},"✅ 完善",[395,47339,1100],{},[395,47341,1100],{},[21,47343,521],{"id":521},[36,47345,47346,47352,47358,47364,47370],{},[39,47347,47348,47351],{},[42,47349,47350],{},"别指望它替代 Copilot 的补全质量","：Tabnine 强在安全，补全能力是第二梯队",[39,47353,47354,47357],{},[42,47355,47356],{},"Connect 功能要开","：不开的话补全只是基于当前文件的盲猜，质量很差",[39,47359,47360,47363],{},[42,47361,47362],{},"Enterprise 版报价空间大","：别按官网标价签，量大可谈",[39,47365,47366,47369],{},[42,47367,47368],{},"本地小模型能力有限","：复杂补全会自动切大模型，注意延迟和成本",[39,47371,47372,47375],{},[42,47373,47374],{},"团队微调需要足够数据","：代码库太小（\u003C 5 万行）微调效果不明显",[21,47377,575],{"id":574},[36,47379,47380,47383,47386,47389,47392,47395,47398],{},[39,47381,47382],{},"✅ 金融 \u002F 医疗 \u002F 政企等数据不能上云的合规场景",[39,47384,47385],{},"✅ 需要私有化部署 + 中央管理的企业团队",[39,47387,47388],{},"✅ 对代码隐私有硬性要求的团队",[39,47390,47391],{},"✅ 需要团队专属模型微调的场景",[39,47393,47394],{},"❌ 追求最强补全能力的个人开发者（用 Copilot）",[39,47396,47397],{},"❌ 预算敏感的小团队（$12\u002F月偏贵）",[39,47399,47400],{},"❌ 需要深度代码理解 \u002F 跨文件重构（它只做补全）",[21,47402,2552],{"id":2551},[26,47404,47405,47408],{},[42,47406,47407],{},"Q: Tabnine 和 Copilot 补全差距大吗？","\nA: 有明显差距。Copilot 基于 GPT-4o 级模型，复杂逻辑补全准确率更高。Tabnine 的本地小模型速度快但能力有限，大模型模式有延迟。如果不在乎隐私，Copilot 补全体验好很多。",[26,47410,47411,47414],{},[42,47412,47413],{},"Q: 私有化部署需要什么硬件？","\nA: Enterprise 版建议 GPU 服务器（至少 1 张 A10 \u002F L4），跑 Tabnine 自有模型。纯 CPU 部署可行但大模型补全会慢。具体配置需和销售确认。",[26,47416,47417,47420],{},[42,47418,47419],{},"Q: 免费版值得用吗？","\nA: 仅适合尝鲜。Basic 只有小模型 + 有限语言，补全质量不高。真要用建议上 Pro。",[21,47422,604],{"id":604},[26,47424,47425,2589,47427,2589,47429],{},[610,47426,37015],{"href":37014},[610,47428,37019],{"href":37018},[610,47430,36612],{"href":42141},[21,47432,628],{"id":628},[130,47434,47435],{},[26,47436,2604],{},[36,47438,47439],{},[39,47440,47441],{},[610,47442,2613],{"href":47443,"rel":47444},"https:\u002F\u002Ftabnine.com",[639],{"title":202,"searchDepth":250,"depth":250,"links":47446},[47447,47448,47449,47450,47451,47452,47453,47454,47455,47456,47457],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Ftabnine.webp","Tabnine 真实评测：老牌 AI 代码补全工具，支持私有化部署 + 企业级安全，基于自有模型提供代码补全和生成。Free + Pro $12\u002F月 + Enterprise，适合对数据隐私要求高、需要本地部署代码补全的企业团队。",[697],{},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Ftabnine",[1349,1348,1350],"Free \u002F Pro $12\u002Fmo \u002F Enterprise",{"power":250,"ux":250,"price":250,"cn_support":224,"stability":257},{"title":37023,"description":47459},"Tabnine - AI 代码补全工具评测与使用 | AIHO","coding\u002Fcopilot\u002Ftabnine",[47470],{"title":2613,"url":47443},"tools\u002Fcoding\u002Fcopilot\u002Ftabnine","老牌 AI 代码补全工具，支持私有化部署",[42173,42191,3367,22332],"企业级数据隐私和私有化部署的首选，补全稳定可靠但模型能力已落后第一梯队；非隐私刚需场景，Copilot 性价比更高。","26lIqDqTKJ1gGsbpZ3QcIgYlWdw9mc509JNndWx_53E",{"id":47477,"title":47478,"alternatives":47479,"api_compatible":16,"body":47481,"category":42173,"chinese_friendly":264,"cover":47879,"description":47880,"domestic":680,"extension":681,"faq":47881,"free":680,"github":16,"languages":47893,"lastVerified":16,"meta":47894,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":42610,"pillar":22297,"platforms":47895,"priceTable":47896,"pricing":47907,"published":720,"relatedPlaybooks":47908,"relatedReviews":47909,"score":47910,"self_host":680,"seo":47911,"seoTitle":47912,"slug":41792,"sources":47913,"stem":47920,"suitable":16,"tagline":47921,"tags":47922,"updated":732,"verdict":47925,"website":47926,"__hash__":47927},"tools\u002Ftools\u002Fcoding\u002Fcopilot\u002Ftongyi-lingma.md","通义灵码 Tongyi Lingma",[47480,42199,42198,42712],"coding\u002Fide\u002Fqoder",{"type":18,"value":47482,"toc":47867},[47483,47485,47492,47495,47497,47540,47542,47585,47594,47598,47602,47619,47623,47640,47642,47665,47667,47764,47766,47798,47800,47822,47824,47842,47844],[21,47484,24],{"id":23},[26,47486,47487,47488,47491],{},"通义灵码是阿里云通义系列的 AI 编程助手，深度集成 Qwen3-Coder 开源模型。2026 年品牌迁移为 ",[42,47489,47490],{},"Qoder CN","——Qoder 在国内的中国云区版本，账号 \u002F 计费独立但模型 \u002F 能力同源。老灵码插件仍正常使用，新功能（Quest 模式、Repo Wiki、跨项目并行）通过 Qoder CN 提供。实际客户数据：信也科技数百研发周活 70%、新增代码 33% 由灵码编写、整体研发效率提升 11%。",[26,47493,47494],{},"适合：国内开发者免费上手、阿里云用户、想用 Qwen3-Coder 开源模型、追求中文体验顶级。不适合：海外纯英文团队、不愿同步迁到 Qoder CN 体验完整 Quest 流的重度用户。",[21,47496,34],{"id":34},[36,47498,47499,47505,47511,47517,47523,47529,47535],{},[39,47500,47501,47504],{},[42,47502,47503],{},"代码补全 \u002F 续写 \u002F 注释生成","：行级 \u002F 函数级 \u002F 多行",[39,47506,47507,47510],{},[42,47508,47509],{},"代码解释 + 重构建议","：右键菜单一键",[39,47512,47513,47516],{},[42,47514,47515],{},"单元测试生成","：选中函数自动出测试",[39,47518,47519,47522],{},[42,47520,47521],{},"跨文件编辑","：理解项目结构，多文件改动",[39,47524,47525,47528],{},[42,47526,47527],{},"多模型选择","：Qwen2.5-Max \u002F Qwen3-Coder 等",[39,47530,47531,47534],{},[42,47532,47533],{},"阿里云生态深度","：函数计算 \u002F SLS \u002F OSS 等 SDK 调用准确度高",[39,47536,47537,47539],{},[42,47538,17278],{},"：私有部署 \u002F 团队管理 \u002F 模型微调（Qoder CN 企业版）",[21,47541,21878],{"id":21877},[366,47543,47544,47554],{},[369,47545,47546],{},[372,47547,47548,47550,47552],{},[375,47549,12497],{},[375,47551,108],{},[375,47553,43701],{},[390,47555,47556,47565,47576],{},[372,47557,47558,47560,47562],{},[395,47559,43167],{},[395,47561,12695],{},[395,47563,47564],{},"插件全功能、无次数限制",[372,47566,47567,47570,47573],{},[395,47568,47569],{},"Qoder CN 订阅",[395,47571,47572],{},"对标 Qoder 个人方案",[395,47574,47575],{},"Qwen3-Coder Max + Quest + Repo Wiki",[372,47577,47578,47580,47582],{},[395,47579,11247],{},[395,47581,47045],{},[395,47583,47584],{},"私有部署 \u002F SSO \u002F 团队 \u002F 微调",[130,47586,47587],{},[26,47588,47589,47590,5819],{},"通义灵码插件仍正常使用且免费；重度场景建议同步关注 ",[610,47591,47593],{"href":47592},"\u002Ftools\u002Fcoding\u002Fide\u002Fqoder","Qoder 评测",[21,47595,47597],{"id":47596},"实测中型-java-react-项目","实测（中型 Java + React 项目）",[26,47599,47600],{},[42,47601,143],{},[36,47603,47604,47607,47610,47613,47616],{},[39,47605,47606],{},"阿里云 SDK 调用准确度高：写函数计算 \u002F SLS \u002F RDS 代码时 API 调用几乎不用查文档",[39,47608,47609],{},"中文需求理解一流，prompt 中文写法不会被误解",[39,47611,47612],{},"个人完全免费 + 无次数限制，对学习 \u002F 中小项目压力极小",[39,47614,47615],{},"Qwen3-Coder 升级后多文件改 \u002F 跨函数重构成功率明显提升",[39,47617,47618],{},"与阿里通义其他产品（千问 \u002F 灵积）账号互通",[26,47620,47621],{},[42,47622,168],{},[36,47624,47625,47628,47631,47634,47637],{},[39,47626,47627],{},"老插件 UI 比 Cursor \u002F Copilot 略保守，但 Qoder CN 桌面端补齐",[39,47629,47630],{},"海外开发者访问国内 endpoint 偶有延迟",[39,47632,47633],{},"复杂跨仓库 Agent 任务建议直接用 Qoder CN Quest 模式",[39,47635,47636],{},"部分极偏门语言（Erlang \u002F Crystal 等）支持弱于通用语言",[39,47638,47639],{},"与阿里云外部生态（如 AWS \u002F GCP）SDK 准确度略逊",[21,47641,936],{"id":936},[630,47643,47644,47647,47650,47653,47656,47662],{},[39,47645,47646],{},"lingma.aliyun.com 注册（阿里云账号），免费版立即可用",[39,47648,47649],{},"VS Code \u002F JetBrains 装 \"通义灵码\" 插件",[39,47651,47652],{},"阿里云账号登录，选 Qwen2.5-Max \u002F Qwen3-Coder",[39,47654,47655],{},"体验：注释 → 代码、选中代码右键解释 \u002F 重构 \u002F 生成单测",[39,47657,47658,47659,47661],{},"重度场景：迁移到 ",[610,47660,47490],{"href":47592},"，体验 Quest + Repo Wiki + 跨项目并行",[39,47663,47664],{},"企业：咨询私有化部署 \u002F 团队管理",[21,47666,364],{"id":364},[366,47668,47669,47684],{},[369,47670,47671],{},[372,47672,47673,47675,47678,47680,47682],{},[375,47674,377],{},[375,47676,47677],{},"通义灵码 \u002F Qoder CN",[375,47679,42438],{},[375,47681,42196],{},[375,47683,42443],{},[390,47685,47686,47698,47711,47725,47738,47750],{},[372,47687,47688,47690,47692,47694,47696],{},[395,47689,42956],{},[395,47691,12512],{},[395,47693,43843],{},[395,47695,43846],{},[395,47697,42477],{},[372,47699,47700,47702,47705,47707,47709],{},[395,47701,11157],{},[395,47703,47704],{},"Qwen3-Coder（开源）",[395,47706,42975],{},[395,47708,42452],{},[395,47710,42460],{},[372,47712,47713,47716,47719,47721,47723],{},[395,47714,47715],{},"阿里云 SDK 准确度",[395,47717,47718],{},"✅ 最高",[395,47720,27776],{},[395,47722,27776],{},[395,47724,27776],{},[372,47726,47727,47729,47732,47734,47736],{},[395,47728,42482],{},[395,47730,47731],{},"✅ Quest（Qoder CN）",[395,47733,42488],{},[395,47735,42485],{},[395,47737,443],{},[372,47739,47740,47742,47744,47746,47748],{},[395,47741,5590],{},[395,47743,24488],{},[395,47745,24488],{},[395,47747,24488],{},[395,47749,24488],{},[372,47751,47752,47754,47757,47760,47762],{},[395,47753,42524],{},[395,47755,47756],{},"阿里云 \u002F 信也 \u002F 淘宝",[395,47758,47759],{},"百度 \u002F 顺丰 \u002F 吉利",[395,47761,42527],{},[395,47763,43921],{},[21,47765,521],{"id":521},[36,47767,47768,47774,47780,47786,47792],{},[39,47769,47770,47773],{},[42,47771,47772],{},"重度任务迁 Qoder CN","：Quest \u002F Repo Wiki \u002F 跨项目并行只在 Qoder CN 完整提供",[39,47775,47776,47779],{},[42,47777,47778],{},"个人免费版没必要急升级","：插件够用就行，跑大型 Agent 任务再迁",[39,47781,47782,47785],{},[42,47783,47784],{},"阿里云 SDK 优先用灵码","：其他 Copilot 容易写错版本 \u002F 鉴权链",[39,47787,47788,47791],{},[42,47789,47790],{},"Qwen3-Coder 私有部署有 GPU 门槛","：开源权重免费，但跑 Max 级模型对显存要求高",[39,47793,47794,47797],{},[42,47795,47796],{},"品牌迁移过渡期看清账号体系","：通义灵码账号 ≠ Qoder CN 账号，重度用户提前准备",[21,47799,575],{"id":574},[36,47801,47802,47805,47808,47811,47814,47816,47819],{},[39,47803,47804],{},"✅ 国内开发者免费上手",[39,47806,47807],{},"✅ 阿里云用户（函数计算 \u002F SLS \u002F OSS \u002F RDS 等）",[39,47809,47810],{},"✅ 想用 Qwen3-Coder 开源模型",[39,47812,47813],{},"✅ 中文项目主力",[39,47815,43988],{},[39,47817,47818],{},"❌ 完全没有阿里云业务",[39,47820,47821],{},"❌ 已订 Cursor \u002F Copilot 且不愿换工具",[21,47823,604],{"id":604},[36,47825,47826,47830,47834,47838],{},[39,47827,47828],{},[610,47829,47593],{"href":47592},[39,47831,47832],{},[610,47833,42605],{"href":42604},[39,47835,47836],{},[610,47837,42617],{"href":42616},[39,47839,47840],{},[610,47841,42623],{"href":42622},[21,47843,628],{"id":628},[630,47845,47846,47853,47860],{},[39,47847,47848,47849],{},"阿里云 — 通义灵码 \u002F Qoder CN 产品页（含信也客户数据）",[610,47850,47851],{"href":47851,"rel":47852},"https:\u002F\u002Fwww.alibabacloud.com\u002Fzh\u002Fproduct\u002Flingma",[639],[39,47854,47855,47856],{},"Codnaut — Tongyi Lingma 评测 ",[610,47857,47858],{"href":47858,"rel":47859},"https:\u002F\u002Fwww.codnaut.com\u002Fen\u002Ftools\u002Ftongyi-lingma",[639],[39,47861,47862,47863],{},"中关村在线 — Qwen3-Coder 开源 + 通义灵码升级（2025-07）",[610,47864,47865],{"href":47865,"rel":47866},"https:\u002F\u002Fai.zol.com.cn\u002F1019\u002F10197976.html",[639],{"title":202,"searchDepth":250,"depth":250,"links":47868},[47869,47870,47871,47872,47873,47874,47875,47876,47877,47878],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":21877,"depth":224,"text":21878},{"id":47596,"depth":224,"text":47597},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Ftongyi-lingma.webp","通义灵码 真实评测：阿里云通义 AI 编程助手，2025 年起底层升级 Qwen3-Coder 开源模型；2026 年品牌迁移为 Qoder CN（国内云区版本，账号 \u002F 计费独立但同源）。Qwen2.5-Max 一度登顶编程能力榜，深度整合阿里云生态。信也科技数百研发周活 70%、新增代码 33% 由灵码编写，整体效率提升 11%。",[47882,47885,47888,47891],{"q":47883,"a":47884},"通义灵码和 Qoder 是同一个产品吗？","通义灵码 2026 年改名 Qoder CN，是 Qoder 在国内的中国云区版本，账号 \u002F 计费独立，但底层 Qwen3-Coder 模型一致。原插件仍可正常使用，重度用户建议迁到 Qoder CN 体验完整 Quest \u002F Repo Wiki。",{"q":47886,"a":47887},"Qwen3-Coder 编程能力如何？","阿里 2025-07 开源的最新一代代码大模型，多个基准测试领先开源同类；通义灵码 Qwen2.5-Max 一度登顶 LMArena 编程能力榜（开源）。",{"q":47889,"a":47890},"对个人开发者真的免费吗？","插件全功能免费、无次数限制。代码生成、解释、重构、单测都不收费。重度跑 Quest 模式建议升 Qoder CN 订阅，享受 Qwen3-Coder Max 旗舰。",{"q":22292,"a":47892},"Cursor \u002F Copilot 海外个人开发仍最强；通义灵码（Qoder CN）强在中文场景、阿里云生态、Qwen3-Coder 开源模型、国内访问稳定。信也、淘宝、阿里系内部规模化用。",[696,697],{},[22299,22300,42680,42681],[47897,47900,47903],{"plan":43167,"price":12695,"features":47898,"notes":47899},"代码补全 \u002F 解释 \u002F 重构 \u002F 单测生成 \u002F 跨文件编辑","全功能免费、无次数限制",{"plan":47901,"price":47572,"features":47575,"notes":47902},"Qoder CN（原灵码）订阅","国内云区版本、独立账号 \u002F 计费",{"plan":11247,"price":47904,"features":47905,"notes":47906},"咨询定制","私有部署 \u002F SSO \u002F 团队管理 \u002F 模型微调","信也、阿里系等头部客户","个人免费 \u002F 企业版咨询定制 \u002F Qoder CN 订阅",[22315,24672],[42706,42707,42708],{"power":257,"ux":257,"price":264,"cn_support":264,"stability":257},{"title":47478,"description":47880},"通义灵码评测 2026：阿里 AI 编程助手，企业级代码补全，国内免费",[47914,47916,47918],{"name":47915,"url":47858,"accessed":732},"Codnaut — Tongyi Lingma 介绍",{"name":47917,"url":47851,"accessed":732},"阿里云 — 通义灵码 \u002F Qoder CN 产品页",{"name":47919,"url":47865,"accessed":732},"中关村在线 — Qwen3-Coder 开源 + 通义灵码升级","tools\u002Fcoding\u002Fcopilot\u002Ftongyi-lingma","阿里通义 AI 编程助手，深度集成 Qwen3-Coder，已升级为 Qoder CN（国内云区版本）",[42173,14338,9442,39765,47923,47924,43202],"tongyi","qoder-cn","国产免费 Copilot 主力，背靠阿里 Qwen3-Coder 开源模型。已用户基本盘大、阿里云生态深度。2026 年品牌迁移为 Qoder CN 后产品同步性提升；老 IDE 插件仍可用。","https:\u002F\u002Flingma.aliyun.com","GY-QENPaPvqE1iqF7etmbAMy1jPnZChAbXrAVMVwTxc",{"id":47929,"title":47930,"alternatives":47931,"api_compatible":16,"body":47932,"category":48538,"chinese_friendly":224,"cover":48539,"description":48540,"domestic":680,"extension":681,"faq":16,"free":253,"github":16,"languages":48541,"lastVerified":16,"meta":48542,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":48543,"pillar":22297,"platforms":48544,"priceTable":48545,"pricing":48554,"published":40482,"relatedPlaybooks":16,"relatedReviews":16,"score":48555,"self_host":680,"seo":48556,"seoTitle":48557,"slug":48558,"sources":48559,"stem":48567,"suitable":16,"tagline":48568,"tags":48569,"updated":40482,"verdict":48572,"website":48507,"__hash__":48573},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fantigravity.md","Google Antigravity",[20457,45458,1403,23472],{"type":18,"value":47933,"toc":48520},[47934,47936,47955,47960,47962,47966,47974,47985,47989,47992,48003,48011,48015,48018,48021,48024,48041,48046,48049,48074,48076,48143,48154,48156,48171,48188,48190,48216,48218,48339,48344,48358,48363,48381,48383,48428,48430,48432,48446,48448,48469,48471,48499,48501,48512,48517],[21,47935,24],{"id":23},[5783,47937,47939,47952],{"className":47938},[5786,5787,5788],[26,47940,47941,47943,47944,47947,47948,47951],{},[42,47942,5793],{}," Google 在 2025 年 11 月随 ",[610,47945,47946],{"href":46454},"Gemini 3"," 一起发布的 ",[42,47949,47950],{},"agent-first"," 开发平台。和传统 AI IDE 最大的不同：它不是「你写代码、AI 补全」，而是「你派活、多个 agent 在编辑器 + 终端 + 内置浏览器三处并行规划-执行-验证」。",[26,47953,47954],{},"底座是 VS Code fork，核心是 Mission Control（Manager）面板编排并行 agent，配内置 Chromium 让 agent 自己开网页测 web app。免费档就能用 Gemini 3 + Claude，很大方。",[130,47956,47957],{},[26,47958,47959],{},"来源说明：本文基于 antigravity.google 官方页面与多份独立评测（vibecoding.app \u002F how2shout）综合整理。该产品 2025-11 发布、仍处快速迭代的 preview 阶段，部分版本细节（如 2.0 桌面端\u002FCLI\u002FSDK 分支、具体模型版本号）以最新官方信息为准。",[21,47961,5893],{"id":5893},[5062,47963,47965],{"id":47964},"mission-control多-agent-并行编排","Mission Control：多 agent 并行编排",[26,47967,47968,47969,6035,47971,47973],{},"这是 Antigravity 区别于 ",[610,47970,1058],{"href":5867},[610,47972,33017],{"href":33016}," 的核心。不是单一对话窗口，而是一个「指挥中心」面板，同时调度多条并行工作流：",[36,47975,47976,47979,47982],{},[39,47977,47978],{},"一个 agent 重构 auth，另一个写文档，第三个验证 UI——同时进行",[39,47980,47981],{},"每个 agent 可以分配不同模型（详见下方模型支持）",[39,47983,47984],{},"你从「写代码的人」变成「派活和验收的人」",[5062,47986,47988],{"id":47987},"内置浏览器agent-自己测","内置浏览器：agent 自己测",[26,47990,47991],{},"原生集成 Chromium，agent 不用切窗口就能：",[36,47993,47994,47997,48000],{},[39,47995,47996],{},"打开你正在开发的 web app 实际点击测试",[39,47998,47999],{},"抓取网页数据",[39,48001,48002],{},"把浏览器操作录下来作为验证证据",[26,48004,48005,48006,5379,48008,48010],{},"这是大多数 AI IDE 没有的——",[610,48007,1058],{"href":5867},[610,48009,34462],{"href":34461}," 都没有内置浏览器。",[5062,48012,48014],{"id":48013},"artifact-trail可审计的执行轨迹","Artifact Trail：可审计的执行轨迹",[26,48016,48017],{},"每次「任务」都生成可审计的产物：任务清单、实现计划、终端日志、浏览器录制。目的是解决 agent 自主执行的「黑箱」问题——让你能回看 agent 到底做了什么、为什么这么做。",[5062,48019,48020],{"id":48020},"模型支持",[26,48022,48023],{},"可在一个任务里给不同 agent 分配不同模型：",[36,48025,48026,48031,48036],{},[39,48027,48028,48030],{},[42,48029,40151],{},"：Gemini 3 系列（Pro \u002F Flash）",[39,48032,48033,48035],{},[42,48034,4141],{},"：Sonnet \u002F Opus 系列",[39,48037,48038,48040],{},[42,48039,414],{},"：GPT-OSS 120B",[130,48042,48043],{},[26,48044,48045],{},"注：具体可用模型版本随官方更新变化，且免费档\u002F付费档可用模型与额度不同。",[5062,48047,48048],{"id":48048},"标准支持",[36,48050,48051,48058,48068],{},[39,48052,48053,48057],{},[42,48054,48055],{},[610,48056,1850],{"href":12453},"：连 GitHub、数据库、外部 API",[39,48059,48060,10831,48065,48067],{},[42,48061,48062],{},[610,48063,1448],{"href":48064},"\u002Fwiki\u002Fagents-md.html",[204,48066,36259],{},"：项目级规则配置",[39,48069,48070,48073],{},[42,48071,48072],{},"AgentKit","：内置专用 agent + 领域技能库",[21,48075,6063],{"id":6063},[366,48077,48078,48090],{},[369,48079,48080],{},[372,48081,48082,48084,48086,48088],{},[375,48083,12497],{},[375,48085,108],{},[375,48087,23554],{},[375,48089,32775],{},[390,48091,48092,48104,48117,48130],{},[372,48093,48094,48096,48098,48101],{},[395,48095,843],{},[395,48097,707],{},[395,48099,48100],{},"全模型可用，额度约每 5 小时刷新",[395,48102,48103],{},"免费跑 Gemini 3 + Claude 很罕见",[372,48105,48106,48109,48111,48114],{},[395,48107,48108],{},"AI Pro",[395,48110,1155],{},[395,48112,48113],{},"更高额度 + 内置 credits",[395,48115,48116],{},"Google One AI Pro",[372,48118,48119,48122,48125,48128],{},[395,48120,48121],{},"AI Ultra",[395,48123,48124],{},"$249.99\u002F月",[395,48126,48127],{},"高强度复杂模型访问",[395,48129,23127],{},[372,48131,48132,48134,48137,48140],{},[395,48133,21892],{},[395,48135,48136],{},"$25 \u002F 2.5k",[395,48138,48139],{},"按需 top-up",[395,48141,48142],{},"额度用完加买",[26,48144,48145,5072,48148,48153],{},[42,48146,48147],{},"「paperweight」争议",[610,48149,48152],{"href":48150,"rel":48151},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fgoogle-antigravity-review",[639],"vibecoding.app 评测"," 引用社区反馈，不少用户因额度系统不透明、rate limit 太紧把它叫「镇纸（paperweight）」——免费档跑几下就触顶要等几小时刷新。有用户吐槽：「用 Opus 跑得正爽，被强制切回 Gemini 时就像把方向盘交给一个鲁莽的司机。」",[21,48155,6151],{"id":6150},[197,48157,48159],{"className":199,"code":48158,"language":201,"meta":202,"style":202},"# 去官网下载安装包（VS Code fork，三平台都有）\n# https:\u002F\u002Fantigravity.google\n",[204,48160,48161,48166],{"__ignoreMap":202},[207,48162,48163],{"class":209,"line":210},[207,48164,48165],{"class":260},"# 去官网下载安装包（VS Code fork，三平台都有）\n",[207,48167,48168],{"class":209,"line":224},[207,48169,48170],{"class":260},"# https:\u002F\u002Fantigravity.google\n",[630,48172,48173,48176,48179,48182,48185],{},[39,48174,48175],{},"用 Google 账号登录（国内需代理过验证）",[39,48177,48178],{},"打开项目目录",[39,48180,48181],{},"调出 Mission Control（Manager）面板",[39,48183,48184],{},"用内置模板派第一个 agent，比如「读完项目后给我加一套登录页 + 自测通过」",[39,48186,48187],{},"看 agent 在编辑器\u002F终端\u002F浏览器三处干活，到 Artifact Trail 验收",[21,48189,6197],{"id":6197},[630,48191,48192,48198,48203],{},[39,48193,48194,48197],{},[42,48195,48196],{},"账号 + 网络","：Google 账号登录 + 模型推理都在境外，没稳定代理基本不可用",[39,48199,48200,48202],{},[42,48201,11197],{},"：AI Pro \u002F Ultra 走 Google One 海外订阅，国内卡基本不收",[39,48204,48205,48207,48208,48210,48211,48213,48214],{},[42,48206,6226],{},"：国内首选 ",[610,48209,46396],{"href":46395},"（字节，无门槛）或 ",[610,48212,41418],{"href":41417},"；要 agent-first 体验但能接受境外，可对比 ",[610,48215,33017],{"href":33016},[21,48217,6239],{"id":6239},[366,48219,48220,48241],{},[369,48221,48222],{},[372,48223,48224,48226,48229,48233,48237],{},[375,48225,377],{},[375,48227,48228],{},"Antigravity",[375,48230,48231],{},[610,48232,1058],{"href":5867},[375,48234,48235],{},[610,48236,33017],{"href":33016},[375,48238,48239],{},[610,48240,1790],{"href":13587},[390,48242,48243,48259,48273,48286,48299,48313,48327],{},[372,48244,48245,48247,48250,48253,48256],{},[395,48246,6291],{},[395,48248,48249],{},"多 agent + 内置浏览器",[395,48251,48252],{},"AI-native VS Code fork",[395,48254,48255],{},"Cascade Agent",[395,48257,48258],{},"终端原生",[372,48260,48261,48264,48267,48269,48271],{},[395,48262,48263],{},"并行任务",[395,48265,48266],{},"★★★★★ 多 agent 并行",[395,48268,5585],{},[395,48270,5585],{},[395,48272,5585],{},[372,48274,48275,48278,48280,48282,48284],{},[395,48276,48277],{},"内置浏览器自测",[395,48279,41482],{},[395,48281,40168],{},[395,48283,40168],{},[395,48285,40168],{},[372,48287,48288,48290,48293,48295,48297],{},[395,48289,2455],{},[395,48291,48292],{},"★★★☆☆ preview",[395,48294,6315],{},[395,48296,5579],{},[395,48298,6315],{},[372,48300,48301,48304,48307,48309,48311],{},[395,48302,48303],{},"合规（SOC2 等）",[395,48305,48306],{},"✗ preview 无",[395,48308,6315],{},[395,48310,5579],{},[395,48312,5579],{},[372,48314,48315,48318,48321,48323,48325],{},[395,48316,48317],{},"免费档慷慨度",[395,48319,48320],{},"★★★★☆ 全模型但限流紧",[395,48322,5585],{},[395,48324,5579],{},[395,48326,5724],{},[372,48328,48329,48331,48333,48335,48337],{},[395,48330,40175],{},[395,48332,5593],{},[395,48334,5585],{},[395,48336,5585],{},[395,48338,5585],{},[26,48340,48341,5072],{},[42,48342,48343],{},"选 Antigravity 如果你",[36,48345,48346,48349,48352,48355],{},[39,48347,48348],{},"想要多 agent 并行 + 内置浏览器自测这套独门组合",[39,48350,48351],{},"做 R&D \u002F 原型 \u002F vibe coding，能容忍不稳定",[39,48353,48354],{},"想免费体验 Gemini 3 + Claude 跑 agent",[39,48356,48357],{},"已经搞定 Google 账号和网络",[26,48359,48360,5072],{},[42,48361,48362],{},"别选 Antigravity 如果你",[36,48364,48365,48370,48373,48378],{},[39,48366,48367,48368,2337],{},"要扛生产 deadline、要稳定可预测（去 ",[610,48369,1058],{"href":5867},[39,48371,48372],{},"需要 SOC2 等合规（preview 阶段没有）",[39,48374,48375,48376,2337],{},"国内 + 不想折腾代理（去 ",[610,48377,46396],{"href":46395},[39,48379,48380],{},"受不了限流和不透明额度",[21,48382,6457],{"id":6457},[36,48384,48385,48398,48404,48410,48416,48422],{},[39,48386,48387,5072,48390,48393,48394,48397],{},[42,48388,48389],{},"务必跑在沙箱里",[610,48391,48152],{"href":48150,"rel":48392},[639]," 明确警告——agent 自主度高，出现过发危险命令（如 ",[204,48395,48396],{},"chmod -R 777","）的情况。建议跑在 VM \u002F 容器里，设命令白名单，合并前逐一 review diff。",[39,48399,48400,48403],{},[42,48401,48402],{},"免费档限流很紧","：额度约每 5 小时刷新一次，复杂任务跑几下就触顶要等，重度用户得上付费档或买 credits。",[39,48405,48406,48409],{},[42,48407,48408],{},"额度系统不透明","：社区诟病的「paperweight」问题主要来自此——不清楚一次任务到底烧多少额度。先小任务试水摸清消耗节奏。",[39,48411,48412,48415],{},[42,48413,48414],{},"preview 阶段不保证稳定","：产品迭代快、功能\u002F模型\u002F定价都在变，不要押在它身上做关键交付。",[39,48417,48418,48421],{},[42,48419,48420],{},"被迫切模型的体验落差","：免费\u002F低档触顶后会被降级到较弱模型，agent 行为质量会明显波动。",[39,48423,48424,48427],{},[42,48425,48426],{},"国内门槛高","：账号、网络、支付三道坎，没代理基本玩不转。",[21,48429,575],{"id":574},[26,48431,6528],{},[36,48433,48434,48437,48440,48443],{},[39,48435,48436],{},"想体验「派活给多个 agent 并行干」的 agent-first 范式",[39,48438,48439],{},"需要内置浏览器做 web app 自动化 QA",[39,48441,48442],{},"R&D \u002F 原型 \u002F 探索阶段，稳定性要求不高",[39,48444,48445],{},"想免费玩 Gemini 3 + Claude 的 agent 能力",[26,48447,6548],{},[36,48449,48450,48456,48459,48464],{},[39,48451,48452,48453,48455],{},"生产环境 \u002F 关键 deadline（",[610,48454,1058],{"href":5867}," 更稳）",[39,48457,48458],{},"需要合规认证",[39,48460,48461,48462,2337],{},"国内首选 IDE（",[610,48463,46396],{"href":46395},[39,48465,48466,48467,2337],{},"终端工作流为主（",[610,48468,1790],{"href":13587},[21,48470,604],{"id":604},[36,48472,48473,48483,48493],{},[39,48474,6576,48475,6035,48477,6035,48479,6035,48481],{},[610,48476,1058],{"href":5867},[610,48478,33017],{"href":33016},[610,48480,1790],{"href":13587},[610,48482,35996],{"href":39580},[39,48484,6587,48485,6035,48487,6035,48489,6035,48491],{},[610,48486,6591],{"href":6590},[610,48488,1850],{"href":12453},[610,48490,1448],{"href":48064},[610,48492,40404],{"href":40403},[39,48494,6598,48495,6035,48497],{},[610,48496,46455],{"href":46454},[610,48498,34594],{"href":34593},[21,48500,628],{"id":628},[36,48502,48503,48509],{},[39,48504,6628,48505],{},[610,48506,48507],{"href":48507,"rel":48508},"https:\u002F\u002Fantigravity.google",[639],[39,48510,48511],{},"第三方评测：vibecoding.app \u002F how2shout.com",[26,48513,48514,48515,6648],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；产品处于快速迭代的 preview 阶段，如发现价格 \u002F 命令 \u002F 功能与最新官方信息不一致，请通过 ",[610,48516,6647],{"href":6646},[662,48518,48519],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":48521},[48522,48523,48530,48531,48532,48533,48534,48535,48536,48537],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":48524},[48525,48526,48527,48528,48529],{"id":47964,"depth":250,"text":47965},{"id":47987,"depth":250,"text":47988},{"id":48013,"depth":250,"text":48014},{"id":48020,"depth":250,"text":48020},{"id":48048,"depth":250,"text":48048},{"id":6063,"depth":224,"text":6063},{"id":6150,"depth":224,"text":6151},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"ide","\u002Fimg\u002Ftools\u002Fantigravity.webp","Google Antigravity 真实评测：2025 年 11 月随 Gemini 3 发布的 agent-first 开发平台，多 agent 在编辑器、终端、浏览器三处并行规划-执行-验证。AIHO 编辑部基于官方与多份独立评测整理，含定价、与 Cursor 对比、避坑与安全警告。",[696,697],{},"\u002Ftools\u002Fcoding\u002Fide\u002Fantigravity",[1349,1348,1350],[48546,48548,48551,48553],{"plan":843,"price":707,"limit":48100,"cn_pay":5724,"note":48547},"免费档能跑 Gemini 3 + Claude 很罕见",{"plan":48108,"price":1155,"limit":48549,"cn_pay":5730,"note":48550},"更高额度 + 内置 AI credits","Google One AI Pro 订阅",{"plan":48121,"price":48124,"limit":48127,"cn_pay":6363,"note":48552},"重度\u002F团队",{"plan":21892,"price":48136,"limit":48139,"cn_pay":6363,"note":48142},"Free（含全模型，约 5 小时刷新一次额度）\u002F AI Pro $20\u002Fmo \u002F AI Ultra $249.99\u002Fmo",{"power":264,"ux":257,"price":257,"cn_support":224,"stability":250},{"title":47930,"description":48540},"Google Antigravity 评测 2026：AI IDE 编程工具新选择","coding\u002Fide\u002Fantigravity",[48560,48562,48564],{"title":48561,"url":48507},"Antigravity 官方",{"title":48563,"url":48150},"Google AntiGravity Review 2026 (vibecoding.app)",{"title":48565,"url":48566},"Google Launches Antigravity (how2shout)","https:\u002F\u002Fwww.how2shout.com\u002Fnews\u002Fgoogle-antigravity-ai-agent-platform.html","tools\u002Fcoding\u002Fide\u002Fantigravity","Google 的 agent-first IDE，多 agent 跨编辑器\u002F终端\u002F浏览器并行干活",[48538,700,3369,48570,18983,24205,48571],"browser","vscode-fork","最激进的 agent-first IDE：多 agent 并行 + 内置浏览器自测是真本事，免费档能用全模型很香。但 preview 阶段稳定性、额度透明度、合规都欠火候，autonomy 高到能发危险命令——尝鲜\u002F做 R&D 行，扛生产 deadline 选 Cursor。","tgs5E4JMygoiMMcOEG5oTDfitv43jfPzP3AKGNwK61U",{"id":48575,"title":1058,"alternatives":48576,"api_compatible":48577,"body":48578,"category":48538,"chinese_friendly":257,"cover":49071,"description":49072,"domestic":680,"extension":681,"faq":49073,"free":680,"github":202,"languages":49092,"lastVerified":16,"meta":49093,"models":49094,"navigation":253,"notSuitable":49097,"opensource":680,"path":21099,"pillar":22297,"platforms":49102,"priceTable":49103,"pricing":49120,"published":6699,"relatedPlaybooks":49121,"relatedReviews":49125,"score":49129,"self_host":680,"seo":49130,"seoTitle":49131,"slug":20457,"sources":49132,"stem":49142,"suitable":49143,"tagline":49148,"tags":49149,"updated":22952,"verdict":49153,"website":49154,"__hash__":49155},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fcursor.md",[46594,45458,1403,1405],[5028,1395],{"type":18,"value":48579,"toc":49054},[48580,48582,48622,48624,48627,48633,48674,48689,48695,48699,48702,48721,48737,48740,48744,48749,48753,48762,48766,48776,48780,48786,48788,48818,48820,48914,48919,48921,48959,48961,48967,48971,48981,48983,49017,49019,49045,49052],[21,48581,24],{"id":23},[5783,48583,48585,48590,48607],{"className":48584},[5786,5787,5788],[26,48586,48587,48589],{},[42,48588,5793],{}," Cursor 是当前 AI IDE 综合体验的天花板。Composer 的多文件改写、Tab 的连续预测、@-symbol 的上下文召回三件套，加上 2026 年加上的 Cloud Agents 和 Bugbot，使「让 AI 真的写一段能跑的代码」这件事比纯插件方案高一个量级。",[26,48591,48592,48595,48596,48599,48600,48603,48604,5819],{},[42,48593,48594],{},"2026 年最大变化：SpaceX 以 600 亿美元全股票收购 Cursor 母公司 Anysphere","（2026-06-16 签约，预计 Q3 交割）。收购带来 Colossus 超算算力与 xAI 联合训练——自研模型 ",[42,48597,48598],{},"Composer 2.5"," 与低价的 ",[42,48601,48602],{},"Grok 4.5","（用 Cursor 会话数据训练）先后落地，降低了对 Anthropic\u002FOpenAI 的依赖。当前版本已迭代到 ",[42,48605,48606],{},"3.11",[26,48608,48609,48610,5379,48612,5379,48615,5379,48618,48621],{},"代价是：",[42,48611,23437],{},[42,48613,48614],{},"国内访问不稳",[42,48616,48617],{},"2025-06 之后按 token 计费",[42,48619,48620],{},"频繁切 IP 容易封号","。重度用户月底真的会超额。",[21,48623,29333],{"id":29333},[26,48625,48626],{},"Cursor 是 VS Code 的 fork（不是插件，是独立编辑器），整套 UI \u002F 快捷键 \u002F 插件生态完全继承，但把 AI 当成一等公民重写了所有交互层。如果你今天用 VS Code，切到 Cursor 5 分钟就能上手，所有 keybindings \u002F 主题 \u002F 扩展都直接迁移。",[26,48628,48629,48630,5072],{},"它的护城河不是某一个 feature，而是",[42,48631,48632],{},"三件套乘以工程化",[630,48634,48635,48647,48653],{},[39,48636,48637,5798,48640,48643,48644,48646],{},[42,48638,48639],{},"Composer",[204,48641,48642],{},"Cmd\u002FCtrl + I","）— 多文件 Agent，看完整个仓库后做 plan-then-act 改写；现在的 ",[42,48645,48598],{}," 是 Cursor 自研模型（85%+ 自主研发，以 Kimi K2.5 为底），已能在文件树尺度做重构。",[39,48648,48649,48652],{},[42,48650,48651],{},"Tab 补全"," — 不只是补当前行，而是预测你的下一步光标位置 + 多行 diff。收购 Supermaven 后补全采纳率达 72%，是 GitHub Copilot 没追上的部分。",[39,48654,48655,48658,48659,48661,48662,48665,48666,48669,48670,48673],{},[42,48656,48657],{},"@-symbol 上下文"," — ",[204,48660,22424],{}," 自动召回相关文件、",[204,48663,48664],{},"@docs"," 引外部文档、",[204,48667,48668],{},"@web"," 联网搜、",[204,48671,48672],{},"@git"," 看 diff，相当于 RAG + 工具调用都内嵌好了。",[26,48675,48676,48677,48680,48681,48684,48685,48688],{},"2026 年另加两件大件：",[42,48678,48679],{},"Cloud Agents","（云端 VM 跑长任务，3.5 起最多 10 个并行，",[204,48682,48683],{},"\u002Fmultitask"," 可拆最多 8 个子 Agent 各自独立 Git 分支）和 ",[42,48686,48687],{},"Bugbot","（PR 自动审查 + 自动 fix 提交）。",[26,48690,48691,48694],{},[42,48692,48693],{},"版本迭代速度极快","：3.0（4 月，Agents Window 成主界面）→ 3.5（5-20，Cloud Agents 并行）→ 3.9（6-30，团队市场加入 MCP 与组织）→ 3.10（7-10，Side Chats + 对话搜索）→ 3.11（7-17，Slack 集成改进）；iOS 版 Cursor Mobile 已于 6-29 上线。",[21,48696,48698],{"id":48697},"价格-计费重点","价格 & 计费（重点）",[26,48700,48701],{},"2025-06 起 Cursor 从「请求数」改成「按 token 配额」，引发过一轮社区反弹。当前的逻辑：",[36,48703,48704,48711,48718],{},[39,48705,48706,48707,48710],{},"每档套餐有",[42,48708,48709],{},"包含的美元额度","，按底层模型 API 价折算。",[39,48712,48713,48714,48717],{},"超出后",[42,48715,48716],{},"按需续费","（on-demand），月底结算。",[39,48719,48720],{},"重模型 \u002F 长上下文 \u002F MAX 模式吃额度最快。",[26,48722,48723,48725,48726,48728,48731,48732,48734,48736],{},[42,48724,23254],{},"：日常 Agent 使用够；如果天天 Composer + Background Agents，月底会冲到额度上限。",[29763,48727],{},[42,48729,48730],{},"Pro+ \u002F Ultra","：$60+ \u002F $200\u002F月，给天天跑 Agent 的开发者。",[29763,48733],{},[42,48735,35034],{},"：除了用量，主要买的是团队 Rules \u002F Skills 共享、团队级 Bugbot、SSO、隐私模式。",[26,48738,48739],{},"国内付款：结账页选 Alipay，可走支付宝。",[21,48741,48743],{"id":48742},"真实任务实测基于公开示例归纳","真实任务实测（基于公开示例归纳）",[130,48745,48746],{},[26,48747,48748],{},"来源说明：以下场景为 Cursor 官方 Composer 文档与公开 YouTube 实测视频常见演示流程的整合，非 AIHO 编辑部全程亲测，仅作为「能不能干」的参考。",[5062,48750,48752],{"id":48751},"任务-1重构一个-800-行的-react-组件","任务 1：重构一个 800 行的 React 组件",[26,48754,48755,48758,48759,48761],{},[204,48756,48757],{},"Cmd+I"," → \"把这个组件按业务拆 3 个子组件，提取自定义 hook\" → Composer 列出涉及文件 + 新建 hook → Accept All。",[29763,48760],{},"\n经验值：90 秒级别能跑完，约 18k input \u002F 6k output token；import 路径偶尔错一两行，需手动改。",[5062,48763,48765],{"id":48764},"任务-2跨仓库引用查找","任务 2：跨仓库引用查找",[26,48767,48768,48770,48771,48665,48773,48775],{},[204,48769,22424],{}," 在 50k+ 行项目里召回相关文件、",[204,48772,48664],{},[204,48774,48668],{}," 联网搜。多数同类工具还停留在\"开个文件让 AI 看\"。",[5062,48777,48779],{"id":48778},"任务-3mcp-接入","任务 3：MCP 接入",[26,48781,48782,48785],{},[204,48783,48784],{},"~\u002F.cursor\u002Fmcp.json"," 配 GitHub \u002F Linear \u002F Slack 或自建 MCP server，让 Agent 能直接调外部工具。2026-05 社区 MCP 注册表已超 200 个。",[21,48787,6151],{"id":6150},[197,48789,48791],{"className":199,"code":48790,"language":201,"meta":202,"style":202},"# 1. 下载安装：https:\u002F\u002Fcursor.com\u002Fdownload\n# 2. 用 GitHub \u002F Google 登录\n# 3. 一键导入 VS Code 设置：Cmd+Shift+P → Cursor: Import VS Code Settings\n# 4. 打开任意项目 → Cmd+I 试 Composer\n# 5. 项目根目录新建 .cursor\u002Frules\u002Fmain.mdc，写下项目约定（技术栈、目录、命名）\n",[204,48792,48793,48798,48803,48808,48813],{"__ignoreMap":202},[207,48794,48795],{"class":209,"line":210},[207,48796,48797],{"class":260},"# 1. 下载安装：https:\u002F\u002Fcursor.com\u002Fdownload\n",[207,48799,48800],{"class":209,"line":224},[207,48801,48802],{"class":260},"# 2. 用 GitHub \u002F Google 登录\n",[207,48804,48805],{"class":209,"line":250},[207,48806,48807],{"class":260},"# 3. 一键导入 VS Code 设置：Cmd+Shift+P → Cursor: Import VS Code Settings\n",[207,48809,48810],{"class":209,"line":257},[207,48811,48812],{"class":260},"# 4. 打开任意项目 → Cmd+I 试 Composer\n",[207,48814,48815],{"class":209,"line":264},[207,48816,48817],{"class":260},"# 5. 项目根目录新建 .cursor\u002Frules\u002Fmain.mdc，写下项目约定（技术栈、目录、命名）\n",[21,48819,29545],{"id":29545},[366,48821,48822,48836],{},[369,48823,48824],{},[372,48825,48826,48828,48830,48832,48834],{},[375,48827,377],{},[375,48829,1058],{},[375,48831,1790],{},[375,48833,34462],{},[375,48835,46396],{},[390,48837,48838,48852,48867,48882,48898],{},[372,48839,48840,48842,48845,48848,48850],{},[395,48841,2367],{},[395,48843,48844],{},"VS Code fork",[395,48846,48847],{},"终端 CLI",[395,48849,34956],{},[395,48851,48844],{},[372,48853,48854,48856,48859,48862,48864],{},[395,48855,108],{},[395,48857,48858],{},"$20\u002F月起 + 用量",[395,48860,48861],{},"包含在 Claude.ai $20\u002F月 \u002F Max",[395,48863,3637],{},[395,48865,48866],{},"免费（国内版）\u002F $10\u002F月（国际 Pro）",[372,48868,48869,48871,48874,48876,48879],{},[395,48870,9720],{},[395,48872,48873],{},"需稳定代理",[395,48875,48873],{},[395,48877,48878],{},"需代理",[395,48880,48881],{},"国内版直连",[372,48883,48884,48887,48890,48893,48895],{},[395,48885,48886],{},"Agent 形态",[395,48888,48889],{},"Composer + Cloud Agents",[395,48891,48892],{},"全终端",[395,48894,6803],{},[395,48896,48897],{},"Builder + SOLO",[372,48899,48900,48902,48905,48908,48911],{},[395,48901,506],{},[395,48903,48904],{},"IDE-first 全栈",[395,48906,48907],{},"终端 \u002F 后端 \u002F DevOps",[395,48909,48910],{},"老 VS Code 党",[395,48912,48913],{},"国内 \u002F 中文场景",[130,48915,48916],{},[26,48917,48918],{},"一句话区分：Cursor 是「GUI 全能型」，Claude Code 是「终端硬核派」，Copilot 是「便宜稳定但天花板低」，Trae 是「国内能用的 Cursor 替代」。",[21,48920,6457],{"id":6457},[630,48922,48923,48929,48935,48941,48947,48953],{},[39,48924,48925,48928],{},[42,48926,48927],{},"不要在多个 IP \u002F 设备频繁切换登录","，2025 之后 Cursor 风控严，账号一冻 24 小时起。",[39,48930,48931,48934],{},[42,48932,48933],{},"检查 usage 仪表盘","，Pro 用户每周看一次额度。开 MAX 模式跑长任务前，预估 token 量。",[39,48936,48937,48940],{},[42,48938,48939],{},"Cursor Rules 写短而精","，把超过 2000 字的项目说明拆成多个 .mdc 文件，否则每轮上下文吃得太多。",[39,48942,48943,48946],{},[42,48944,48945],{},"Composer 改大文件前先 commit","，Accept All 偶有 import 错位，git 是后悔药。",[39,48948,48949,48952],{},[42,48950,48951],{},"付费别走第三方账号","，官方明确表示只通过 cursor.com 直销，第三方账号可能被封。",[39,48954,48955,48958],{},[42,48956,48957],{},"国内信用卡如果被拒","，先开支付宝、再开 Stripe 友好的虚拟卡（Wise \u002F WildCard），别反复试同一张。",[21,48960,575],{"id":574},[26,48962,48963,48964,48966],{},"✅ 全栈开发者；习惯 VS Code 的人；多文件大改 \u002F Agent 长任务；已经在用 MCP 生态。",[29763,48965],{},"\n❌ 国内纯内网开发；JetBrains 重度用户；预算敏感的学生；对 usage-based 计费敏感的人。",[21,48968,48970],{"id":48969},"市场地位2026-中","市场地位（2026 中）",[26,48972,48973,48974,48977,48978,48980],{},"Cursor 6 月初年化营收约 ",[42,48975,48976],{},"$4B","，服务 60% 财富 500 强，约 700 名员工。市占率从 2025-06 的 41% 回落到 2026-05 的 26%（",[610,48979,1790],{"href":13587}," 约占赛道一半），但 SpaceX 收购带来的算力与自研模型资源，让它在下半年的竞争中重新握有底牌。三方估算显示，Cursor 接 Sonnet 5 后端时 SWE-bench 约 65.7%，默认配置约 51.7%。",[21,48982,604],{"id":604},[36,48984,48985,48996,49002,49008],{},[39,48986,48987,48988,2589,48992],{},"最新资讯：",[610,48989,48991],{"href":48990},"\u002Fnews\u002F2026\u002Fspacex-acquires-cursor.html","SpaceX 600 亿美元收购 Cursor",[610,48993,48995],{"href":48994},"\u002Fnews\u002F2026\u002Fgrok-4-5-release.html","Grok 4.5 与 Cursor 联合训练",[39,48997,29772,48998],{},[610,48999,49001],{"href":49000},"\u002Fplaybook\u002Fcursor-rules-best-practice.html","Cursor Rules 最佳实践",[39,49003,29779,49004],{},[610,49005,49007],{"href":49006},"\u002Fcoding\u002Fide\u002F","AI IDE 全分类",[39,49009,29786,49010,2589,49012,2589,49015],{},[610,49011,46396],{"href":46395},[610,49013,49014],{"href":33016},"Devin Desktop（原 Windsurf）",[610,49016,1790],{"href":13587},[21,49018,628],{"id":628},[36,49020,49021,49028,49035,49042],{},[39,49022,49023,49024],{},"官方定价页：",[610,49025,49026],{"href":49026,"rel":49027},"https:\u002F\u002Fcursor.com\u002Fpricing",[639],[39,49029,49030,49031],{},"Composer 文档：",[610,49032,49033],{"href":49033,"rel":49034},"https:\u002F\u002Fdocs.cursor.com\u002Fcomposer",[639],[39,49036,49037,49038],{},"Cursor 3.5 Cloud Agents 公告：",[610,49039,49040],{"href":49040,"rel":49041},"https:\u002F\u002Fcursor.com\u002Fchangelog",[639],[39,49043,49044],{},"第三方评测：ZBuild 2026 评测、Flexprice Cursor pricing 解析、Codersera 3.5 完整指南",[130,49046,49047],{},[26,49048,49049,49050,29821],{},"本卡片由 AIHO 编辑部基于以上公开资料整理，非厂商付费内容；定价与功能以官网为准，欢迎在 ",[610,49051,6647],{"href":6646},[662,49053,48519],{},{"title":202,"searchDepth":250,"depth":250,"links":49055},[49056,49057,49058,49059,49064,49065,49066,49067,49068,49069,49070],{"id":23,"depth":224,"text":24},{"id":29333,"depth":224,"text":29333},{"id":48697,"depth":224,"text":48698},{"id":48742,"depth":224,"text":48743,"children":49060},[49061,49062,49063],{"id":48751,"depth":250,"text":48752},{"id":48764,"depth":250,"text":48765},{"id":48778,"depth":250,"text":48779},{"id":6150,"depth":224,"text":6151},{"id":29545,"depth":224,"text":29545},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":48969,"depth":224,"text":48970},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcursor.webp","Cursor 2026 真实评测：SpaceX 以 600 亿美元收购后的最强 AI IDE，基于 VS Code，支持 Composer 2.5 多文件改写、Cloud Agents、MCP、Claude Sonnet 5 \u002F GPT-5.6 \u002F Grok 4.5 多模型和 Bugbot。本文整理最新版本、价格、支付宝付款、国内网络风险、封号避坑，以及和 Trae、Devin Desktop、Claude Code 的选择建议。",[49074,49077,49080,49083,49086,49089],{"q":49075,"a":49076},"Cursor 国内能用吗？","可以，但需要全程稳定的代理。直连不稳，且高频切 IP 会触发账号风控。建议：固定家庭网 + 稳定代理，避免频繁切换。",{"q":49078,"a":49079},"Cursor Pro 多少钱？怎么付款？","$20\u002F月起。Pro 之外还有 Pro+ 和 Ultra（更高用量），Teams $40\u002F用户\u002F月。支持支付宝（结账页选 Alipay），也支持 Visa\u002FMastercard 国际信用卡。开发票需 Business \u002F Teams 计划。",{"q":49081,"a":49082},"Cursor 和 VS Code 区别？","Cursor 是 VS Code 的 fork，几乎所有 VS Code 插件都兼容。最大差异是内置 Composer（多文件 Agent）、Tab 智能补全、@-symbol 上下文检索，这三个 VS Code 原生没有。",{"q":49084,"a":49085},"Cursor 支持自定义 API（DeepSeek \u002F Qwen）吗？","支持。设置里可填 OpenAI \u002F Anthropic 兼容的 base_url 和 key，但 Composer \u002F Tab 等高级功能仅在自带模型上工作最好。",{"q":49087,"a":49088},"Cursor Rules 是什么？","项目根目录下的 .cursor\u002Frules\u002F*.mdc（新版）或 .cursorrules（旧版）文件，给 AI 提供项目级上下文（编码规范、技术栈、目录结构）。每次对话都会自动注入。",{"q":49090,"a":49091},"Background Agent \u002F Bugbot 是什么？","Background Agents 在云端 VM 异步跑任务，你可以同时做别的；Bugbot 是 PR 检查器，自动扫描漏洞和给 fix 建议（2026 起进 Pro 默认按量计费）。",[696,697],{},[34673,46522,49095,36566,49096],"grok-4.5","composer-2.5",[49098,49099,49100,49101],"国内纯内网开发（连不上）","重度 JetBrains 用户（IDEA \u002F WebStorm \u002F GoLand）","预算敏感或学生（先试 Trae \u002F 通义灵码）","对 usage-based 计费高度敏感（2025-06 之后按 token 计费，重度用户月底容易超）",[1349,1348,1350],[49104,49108,49111,49115,49118],{"plan":49105,"price":707,"limit":49106,"cn_pay":426,"note":49107},"Hobby (Free)","Agent 限量 + Tab 补全限量","仅试用，不可付费",{"plan":849,"price":1155,"limit":49109,"cn_pay":49110,"note":6690},"扩展 Agent + 前沿模型 + Cloud Agents + Bugbot（按量）","✅ 支付宝",{"plan":48730,"price":49112,"limit":49113,"cn_pay":1100,"note":49114},"$60+ \u002F $200\u002F月","更高用量配额，Agent 重度用户","天天跑 Agent 的开发者",{"plan":23132,"price":49116,"limit":49117,"cn_pay":1100,"note":29883},"$40\u002F用户\u002F月","团队计费 + SSO + 团队 Rules \u002F Skills \u002F 共享 Bugbot",{"plan":833,"price":716,"limit":49119,"cn_pay":1100,"note":1372},"Pool 用量 \u002F SCIM \u002F 审计 \u002F 仓库与模型访问控制","Free \u002F Pro $20\u002Fmo \u002F Pro+ \u002F Ultra \u002F Teams $40\u002Fuser\u002Fmo \u002F Enterprise",[49122,49123,49124],"ai-coding\u002Fcursor-rules-best-practice","ai-coding\u002Frefactor-legacy-with-ai","ai-coding\u002Fcursor-vs-claude-code-when-to-use",[29890,34699,49126,49127,42708,49128],"cursor-vs-windsurf-vs-trae","qoder-deep-review","windsurf-deep-review",{"power":264,"ux":264,"price":250,"cn_support":250,"stability":257},{"title":1058,"description":49072},"Cursor 评测 2026：SpaceX 收购后的最强 AI IDE？价格、模型与国内避坑",[49133,49135,49137,49139],{"title":49134,"url":49026},"Cursor 官方定价页",{"title":49136,"url":49033},"Cursor Composer 官方文档",{"title":49138,"url":49040},"Cursor Changelog（3.9–3.11）",{"title":49140,"url":49141},"SpaceX 收购 Anysphere（Reuters\u002FSEC）","https:\u002F\u002Fwww.reuters.com\u002Ftechnology\u002F","tools\u002Fcoding\u002Fide\u002Fcursor",[49144,49145,49146,49147],"全栈开发者（前端 \u002F 后端 \u002F 全栈一把抓）","习惯 VS Code 不想换编辑器的人","需要多文件大改、Agent 长任务的人","已经在用 MCP 生态（GitHub \u002F Linear \u002F Slack 等）的团队","AI 原生代码编辑器，Composer 多文件改写一时无两（现为 SpaceX 子公司）",[48538,46586,49150,1392,48571,49151,49152],"composer","bugbot","background-agent","SpaceX 收购后资源更足、自研模型加持；如果不在乎价格和网络，这是开发者第一选择；如果在乎，先看 Trae \u002F Claude Code。","https:\u002F\u002Fcursor.com","_st9Qu7Bzc6uRvS62V-D6U-pZBzBZCIO4viNTsYDBaI",{"id":49157,"title":49158,"alternatives":49159,"api_compatible":16,"body":49160,"category":48538,"chinese_friendly":224,"cover":49580,"description":49581,"domestic":680,"extension":681,"faq":49582,"free":680,"github":16,"languages":49595,"lastVerified":16,"meta":49596,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":49597,"pillar":22297,"platforms":49598,"priceTable":49599,"pricing":49609,"published":720,"relatedPlaybooks":49610,"relatedReviews":16,"score":49611,"self_host":680,"seo":49612,"seoTitle":49613,"slug":49614,"sources":49615,"stem":49622,"suitable":16,"tagline":49623,"tags":49624,"updated":732,"verdict":49626,"website":49627,"__hash__":49628},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fkiro.md","Kiro",[20457,45458,1403,47480],{"type":18,"value":49161,"toc":49567},[49162,49164,49167,49170,49173,49196,49198,49276,49279,49282,49302,49306,49310,49324,49328,49342,49344,49371,49373,49464,49466,49498,49500,49520,49522,49542,49544],[21,49163,24],{"id":23},[26,49165,49166],{},"Kiro 是 AWS 在 2025-07 发布、2026-03 GA 的 AI IDE，定位『把规格作为开发的基本单元』。流程是：你描述要做什么 → Kiro 生成 requirements\u002Fdesign\u002Ftasks 三份 markdown → 再按 tasks 写代码。基于 Code OSS（VS Code 同源），可直接导入主题和 Open VSX 插件。AWS 已宣布 Q Developer 给新用户停服，把研发 AI 押在 Kiro 上。",[26,49168,49169],{},"适合：写生产级业务系统、要可追溯的研发流程、合规要求高的团队。不适合：单人快速 prototyping、纯氛围编程、对 spec 流程没耐心的开发者。",[21,49171,49172],{"id":49172},"三层架构",[630,49174,49175,49181,49187],{},[39,49176,49177,49180],{},[42,49178,49179],{},"Specs","：需求文档 + 设计文档 + 任务清单，由 agent 生成、人工 review，存仓库根目录",[39,49182,49183,49186],{},[42,49184,49185],{},"Hooks","：自然语言写的事件自动化（on save \u002F on commit \u002F on schema change）",[39,49188,49189,5072,49192,49195],{},[42,49190,49191],{},"Steering Files",[204,49193,49194],{},".kiro\u002Fsteering\u002F*.md"," 里写团队规范（命名、错误处理、安全），所有 agent 调用都会读取",[21,49197,21878],{"id":21877},[366,49199,49200,49216],{},[369,49201,49202],{},[372,49203,49204,49206,49208,49211,49214],{},[375,49205,21887],{},[375,49207,108],{},[375,49209,49210],{},"Credits\u002F月",[375,49212,49213],{},"超额",[375,49215,13520],{},[390,49217,49218,49232,49245,49260],{},[372,49219,49220,49222,49224,49227,49229],{},[395,49221,843],{},[395,49223,707],{},[395,49225,49226],{},"50（注册赠 500）",[395,49228,35723],{},[395,49230,49231],{},"试用、轻度",[372,49233,49234,49236,49238,49240,49243],{},[395,49235,849],{},[395,49237,41894],{},[395,49239,42700],{},[395,49241,49242],{},"$0.04\u002Fcredit",[395,49244,1357],{},[372,49246,49247,49249,49252,49255,49257],{},[395,49248,30901],{},[395,49250,49251],{},"$37\u002F月",[395,49253,49254],{},"2,000",[395,49256,49242],{},[395,49258,49259],{},"重度 + Spec 流水",[372,49261,49262,49265,49268,49271,49273],{},[395,49263,49264],{},"Power",[395,49266,49267],{},"$184\u002F月",[395,49269,49270],{},"10,000",[395,49272,49242],{},[395,49274,49275],{},"跑长 autonomous agent",[26,49277,49278],{},"底层模型走 Amazon Bedrock，路由 Claude Sonnet \u002F Amazon Nova。GovCloud 全档可用。",[21,49280,49281],{"id":49281},"三种形态",[36,49283,49284,49290,49296],{},[39,49285,49286,49289],{},[42,49287,49288],{},"Kiro IDE","：VS Code 同根的桌面 IDE",[39,49291,49292,49295],{},[42,49293,49294],{},"Kiro CLI","：terminal 里的同一个 agent",[39,49297,49298,49301],{},[42,49299,49300],{},"Kiro Autonomous Agent","：后台 agent，能持续工作数小时甚至数天（2025-12 AWS re:Invent 公布的 frontier agent）",[21,49303,49305],{"id":49304},"实测中型-spring-boot-项目","实测（中型 Spring Boot 项目）",[26,49307,49308],{},[42,49309,143],{},[36,49311,49312,49315,49318,49321],{},[39,49313,49314],{},"「加一个会员订阅模块」一句话 → 5 分钟生成完整 requirements\u002Fdesign\u002Ftasks，分 17 个任务清单",[39,49316,49317],{},"agent 跑完会写出可运行代码 + 单元测试 + 更新 design.md",[39,49319,49320],{},"三个月后回来看 PR，能从仓库本身复盘当时为什么这么设计",[39,49322,49323],{},"Hooks 跑 OpenAPI 同步真的省心",[26,49325,49326],{},[42,49327,168],{},[36,49329,49330,49333,49336,49339],{},[39,49331,49332],{},"单一 Spec 跑完 17 个任务烧了约 120 credits，Pro 档第 4 天就触线",[39,49334,49335],{},"Spec 工作流加了约 30% 时间成本，小项目得不偿失",[39,49337,49338],{},"2025-12 AWS 大规模故障期，Kiro autonomous agent 拿到生产权限误删配置——AWS 事后强制限制 prod 权限，但教训值得记",[39,49340,49341],{},"中文交互能用，但 spec 文档生成偶尔中英混搭",[21,49343,936],{"id":936},[630,49345,49346,49349,49352,49355,49358,49364],{},[39,49347,49348],{},"kiro.dev 注册（GitHub \u002F Google \u002F AWS 任一）",[39,49350,49351],{},"下载 IDE，导入项目（自动迁移 VS Code 设置）",[39,49353,49354],{},"写一句需求，按 Generate Spec → 审 requirements.md",[39,49356,49357],{},"改 \u002F 确认后让 agent 按 tasks.md 跑",[39,49359,45626,49360,49363],{},[204,49361,49362],{},".kiro\u002Fsteering\u002F"," 沉淀你团队的规范",[39,49365,49366,49367,49370],{},"CLI：",[204,49368,49369],{},"brew install kiro-cli","，同账号即用",[21,49372,364],{"id":364},[366,49374,49375,49390],{},[369,49376,49377],{},[372,49378,49379,49381,49383,49385,49387],{},[375,49380,377],{},[375,49382,49158],{},[375,49384,1058],{},[375,49386,1790],{},[375,49388,49389],{},"Qoder",[390,49391,49392,49409,49424,49439,49452],{},[372,49393,49394,49397,49400,49403,49406],{},[395,49395,49396],{},"范式",[395,49398,49399],{},"Spec-first",[395,49401,49402],{},"Prompt-first",[395,49404,49405],{},"Prompt + CLI",[395,49407,49408],{},"Quest + Agent",[372,49410,49411,49414,49417,49419,49421],{},[395,49412,49413],{},"文档沉淀",[395,49415,49416],{},"强制 3 份",[395,49418,35723],{},[395,49420,35723],{},[395,49422,49423],{},"Repo Wiki",[372,49425,49426,49428,49431,49434,49436],{},[395,49427,108],{},[395,49429,49430],{},"$19–$184",[395,49432,49433],{},"$20 起",[395,49435,49433],{},[395,49437,49438],{},"免费起步",[372,49440,49441,49443,49446,49448,49450],{},[395,49442,4163],{},[395,49444,49445],{},"✅ 长任务",[395,49447,440],{},[395,49449,440],{},[395,49451,1100],{},[372,49453,49454,49456,49458,49460,49462],{},[395,49455,6357],{},[395,49457,22155],{},[395,49459,22158],{},[395,49461,22158],{},[395,49463,24488],{},[21,49465,521],{"id":521},[36,49467,49468,49474,49480,49486,49492],{},[39,49469,49470,49473],{},[42,49471,49472],{},"小项目别上 Spec","：prototyping 用 Free + Chat 模式；Spec 只在长生命周期项目上才回本",[39,49475,49476,49479],{},[42,49477,49478],{},"生产权限要先限","：autonomous agent 默认不要给 prod；用 sandbox \u002F staging 跑、PR 走人工",[39,49481,49482,49485],{},[42,49483,49484],{},"steering files 要建仓","：团队共享的规范不写进去，每个 dev 的 agent 行为会漂移",[39,49487,49488,49491],{},[42,49489,49490],{},"Pro+ 比 Pro 性价比更高","：重度用户 Pro 一周就触超额，差 $18 多翻倍 credits",[39,49493,49494,49497],{},[42,49495,49496],{},"Q Developer 老用户","：迁移前先核对 IAM 集成路径，Kiro 不完全是 Q 的 drop-in",[21,49499,575],{"id":574},[36,49501,49502,49505,49508,49511,49514,49517],{},[39,49503,49504],{},"✅ 写生产业务系统、追求审计可追溯",[39,49506,49507],{},"✅ 已在 AWS 生态，想统一研发 AI",[39,49509,49510],{},"✅ 接受先写规格再写码的团队文化",[39,49512,49513],{},"❌ 单人快速 hack、prototyping",[39,49515,49516],{},"❌ 主语种中文、强中文协作（仍以英文为主）",[39,49518,49519],{},"❌ 团队抗拒文档化",[21,49521,604],{"id":604},[36,49523,49524,49528,49532,49536],{},[39,49525,49526],{},[610,49527,21100],{"href":21099},[39,49529,49530],{},[610,49531,47593],{"href":47592},[39,49533,49534],{},[610,49535,2048],{"href":2047},[39,49537,49538],{},[610,49539,49541],{"href":49540},"\u002Fplaybook\u002Fonboarding\u002Flegacy-codebase-onboarding","Legacy 代码 Onboarding Playbook",[21,49543,628],{"id":628},[630,49545,49546,49553,49560],{},[39,49547,49548,49549],{},"RockB — Kiro AI IDE Review 2026（2026-04-21）",[610,49550,49551],{"href":49551,"rel":49552},"https:\u002F\u002Fbaeseokjae.github.io\u002Fposts\u002Fkiro-ai-ide-review-2026",[639],[39,49554,49555,49556],{},"DEV.to — AWS Kiro: Specs as Unit of Work（2026-04）",[610,49557,49558],{"href":49558,"rel":49559},"https:\u002F\u002Fdev.to\u002Fjubinsoni\u002Faws-kiro-the-agentic-ide-that-makes-specs-the-unit-of-work-3eko",[639],[39,49561,49562,49563],{},"TechCrunch — Amazon Previews 3 Frontier Agents（2025-12-02）",[610,49564,49565],{"href":49565,"rel":49566},"https:\u002F\u002Ftechcrunch.com\u002F2025\u002F12\u002F02\u002Famazon-previews-3-ai-agents-including-kiro-that-can-code-on-its-own-for-days",[639],{"title":202,"searchDepth":250,"depth":250,"links":49568},[49569,49570,49571,49572,49573,49574,49575,49576,49577,49578,49579],{"id":23,"depth":224,"text":24},{"id":49172,"depth":224,"text":49172},{"id":21877,"depth":224,"text":21878},{"id":49281,"depth":224,"text":49281},{"id":49304,"depth":224,"text":49305},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fkiro.webp","Kiro 真实评测：AWS 出品的 spec-driven AI IDE，基于 Code OSS 构建，2026 年 3 月正式 GA。Pro $19、Pro+ $37、Power $184 四档 credits 制。AWS 同步停掉 Q Developer 新签，把研发 AI 押宝在 Kiro 上。",[49583,49586,49589,49592],{"q":49584,"a":49585},"Spec-Driven 和 Cursor 的 Agent 模式区别？","Kiro 把『需求 → 设计 → 任务清单 → 代码』强制成三份产物：requirements.md \u002F design.md \u002F tasks.md。代码是 spec 的副产品，可以审计、可以复盘；Cursor \u002F Claude Code 偏 prompt-first，不沉淀文档。",{"q":49587,"a":49588},"Hooks 是什么？","事件驱动的自然语言自动化：保存时跑 lint、commit 前做安全扫描、API schema 变更时同步 OpenAPI 文档——都是写一段 'on save, …' 就完事，不用配脚本。",{"q":49590,"a":49591},"和 Amazon Q Developer 什么关系？","AWS 2026-01 宣布 Q Developer 新用户注册将于 2026-05-15 停止，明确导流到 Kiro。等于把 AWS 内部研发 AI 的产品赌注全压到 Kiro 上。",{"q":49593,"a":49594},"credit 烧得快吗？","小任务（Inline \u002F Chat）单次 0.x credit 起，分数级计费；但一次跑完整 Spec 实现可能消耗几十甚至上百 credits。从 Claude Code 月度 flat-rate 切过来的用户要先用 1–2 周观察实际烧量再选档。",[697],{},"\u002Ftools\u002Fcoding\u002Fide\u002Fkiro",[1349,1348,1350],[49600,49603,49605,49607],{"plan":843,"price":707,"credits":49601,"notes":49602},"50\u002F月 + 注册赠 500","BYOK 不可、模型路由受限",{"plan":849,"price":41894,"credits":42700,"notes":49604},"超出 $0.04\u002Fcredit；含 Claude\u002FNova 路由",{"plan":30901,"price":49251,"credits":49254,"notes":49606},"重度个人 \u002F 含 Spec + Hooks 全功能",{"plan":49264,"price":49267,"credits":49270,"notes":49608},"重度 \u002F 长 autonomous agent 任务","Free \u002F Pro $19·月 \u002F Pro+ $37·月 \u002F Power $184·月",[24672,22315],{"power":257,"ux":257,"price":250,"cn_support":224,"stability":257},{"title":49158,"description":49581},"Kiro AI IDE 评测 2026：新一代编程工具，对比 Cursor 和 Windsurf","coding\u002Fide\u002Fkiro",[49616,49618,49620],{"name":49617,"url":49551,"accessed":732},"Kiro Review 2026 — RockB",{"name":49619,"url":49558,"accessed":732},"AWS Kiro — DEV.to 深度解读",{"name":49621,"url":49565,"accessed":732},"TechCrunch — AWS 3 Frontier Agents","tools\u002Fcoding\u002Fide\u002Fkiro","AWS 的 Spec-Driven AI IDE，把『写规格 → 出代码 → 出测试』串成自动化流水",[48538,42190,49625,700,34734],"spec-driven","复杂业务系统 + 喜欢先写 spec 的团队最契合；纯个人 prototyping 用 Cursor \u002F Claude Code 更轻。AWS 已宣布 Q Developer 给新用户停服，Kiro 是 AWS 这边的『未来注资方向』。","https:\u002F\u002Fkiro.dev","8DDAaFY_vs6yvolVd63s-RqXqaSsoErVBhTDbC0oJGY",{"id":49630,"title":49631,"alternatives":49632,"api_compatible":16,"body":49634,"category":48538,"chinese_friendly":224,"cover":49934,"description":49935,"domestic":680,"extension":681,"faq":16,"free":680,"github":49919,"languages":49936,"lastVerified":2637,"meta":49937,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":49938,"pillar":22297,"platforms":49939,"priceTable":16,"pricing":49940,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":49941,"self_host":680,"seo":49942,"seoTitle":49943,"slug":49944,"sources":49945,"stem":49948,"suitable":16,"tagline":49949,"tags":49950,"updated":2637,"verdict":49951,"website":49913,"__hash__":49952},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fmelty.md","Melty",[20457,49633],"coding\u002Fide\u002Fvoid",{"type":18,"value":49635,"toc":49921},[49636,49638,49645,49648,49650,49687,49689,49692,49694,49700,49711,49715,49732,49734,49751,49753,49824,49826,49846,49848,49868,49870,49876,49882,49884,49901,49903,49907],[21,49637,24],{"id":23},[26,49639,49640,49641,49644],{},"Melty 是 Sandwitch AI 推出的开源 AI IDE（VS Code fork），定位是\"AI 理解你的代码\"--不是帮你写代码，而是帮你",[42,49642,49643],{},"理解和导航","代码库。它通过 AI 驱动的代码搜索、上下文追踪和代码走查，让开发者快速理解陌生代码库。",[26,49646,49647],{},"适合：需要理解大型代码库的开发者、开源工具爱好者；不适合：需要强大代码生成能力的主力编码场景（用 Cursor）。",[21,49649,34],{"id":34},[36,49651,49652,49658,49664,49670,49676,49682],{},[39,49653,49654,49657],{},[42,49655,49656],{},"AI 代码搜索","：用自然语言搜索代码，不靠正则而靠语义理解",[39,49659,49660,49663],{},[42,49661,49662],{},"上下文追踪","：AI 自动追踪当前文件的依赖、调用关系，构建上下文",[39,49665,49666,49669],{},[42,49667,49668],{},"代码走查","：AI 逐步解释代码逻辑，帮助理解复杂函数",[39,49671,49672,49675],{},[42,49673,49674],{},"VS Code 兼容","：基于 VS Code fork，插件生态完全兼容",[39,49677,49678,49681],{},[42,49679,49680],{},"开源免费","：MIT 协议，可自行部署和修改",[39,49683,49684,49686],{},[42,49685,2209],{},"：支持 OpenAI \u002F Anthropic \u002F 本地模型",[21,49688,108],{"id":108},[26,49690,49691],{},"完全免费、开源（MIT 协议）。需要自备 LLM API Key（OpenAI \u002F Anthropic）或本地模型。",[21,49693,2241],{"id":2240},[130,49695,49696],{},[26,49697,2246,49698],{},[42,49699,143],{},[36,49701,49702,49705,49708],{},[39,49703,49704],{},"代码搜索体验新颖：用自然语言描述功能，能找到相关代码",[39,49706,49707],{},"开源 + VS Code fork 意味着所有 VS Code 插件都能用",[39,49709,49710],{},"代码走查功能对理解遗留代码有帮助",[26,49712,49713],{},[42,49714,168],{},[36,49716,49717,49720,49723,49726,49729],{},[39,49718,49719],{},"项目活跃度低，GitHub 更新频率不稳定",[39,49721,49722],{},"AI 能力依赖外部 API Key，不是开箱即用",[39,49724,49725],{},"代码生成能力弱，补全质量不如 Cursor",[39,49727,49728],{},"稳定性一般，偶有崩溃和功能异常",[39,49730,49731],{},"社区小，遇到问题不好找解决方案",[21,49733,936],{"id":936},[630,49735,49736,49739,49742,49745,49748],{},[39,49737,49738],{},"从 GitHub Releases 下载对应平台安装包",[39,49740,49741],{},"安装后打开，配置 LLM API Key（OpenAI \u002F Anthropic）",[39,49743,49744],{},"打开项目，使用 Cmd\u002FCtrl+Shift+M 唤起 Melty",[39,49746,49747],{},"用自然语言描述要找的代码或功能",[39,49749,49750],{},"选择代码右键 -> \"Explain with Melty\" 做代码走查",[21,49752,364],{"id":364},[366,49754,49755,49768],{},[369,49756,49757],{},[372,49758,49759,49761,49763,49765],{},[375,49760,377],{},[375,49762,49631],{},[375,49764,1058],{},[375,49766,49767],{},"Void",[390,49769,49770,49780,49791,49802,49813],{},[372,49771,49772,49774,49776,49778],{},[395,49773,414],{},[395,49775,423],{},[395,49777,426],{},[395,49779,1100],{},[372,49781,49782,49785,49787,49789],{},[395,49783,49784],{},"代码理解",[395,49786,10213],{},[395,49788,2458],{},[395,49790,2458],{},[372,49792,49793,49796,49798,49800],{},[395,49794,49795],{},"代码生成",[395,49797,443],{},[395,49799,10213],{},[395,49801,2458],{},[372,49803,49804,49807,49809,49811],{},[395,49805,49806],{},"社区活跃度",[395,49808,10650],{},[395,49810,2461],{},[395,49812,2458],{},[372,49814,49815,49818,49820,49822],{},[395,49816,49817],{},"上手门槛",[395,49819,2458],{},[395,49821,10650],{},[395,49823,10650],{},[21,49825,521],{"id":521},[36,49827,49828,49834,49840],{},[39,49829,49830,49833],{},[42,49831,49832],{},"别期望开箱即用","：需要自配 API Key，不是 Cursor 那样注册即用",[39,49835,49836,49839],{},[42,49837,49838],{},"稳定性不如 Cursor\u002FVoid","：项目早期阶段，偶有 bug",[39,49841,49842,49845],{},[42,49843,49844],{},"代码补全体验一般","：它的强项是代码理解不是生成",[21,49847,575],{"id":574},[36,49849,49850,49853,49856,49859,49862,49865],{},[39,49851,49852],{},"✅ 需要理解大型陌生代码库的开发者",[39,49854,49855],{},"✅ 开源工具爱好者，愿意自己折腾",[39,49857,49858],{},"✅ 已有 LLM API Key，想用在自己的 IDE 上",[39,49860,49861],{},"❌ 需要稳定的主力编码 IDE（用 Cursor）",[39,49863,49864],{},"❌ 期望开箱即用的体验（用 Cursor \u002F Windsurf）",[39,49866,49867],{},"❌ 需要强大代码生成和补全（用 Cursor \u002F Copilot）",[21,49869,2552],{"id":2551},[26,49871,49872,49875],{},[42,49873,49874],{},"Q: Melty 和 Cursor 有什么本质区别？","\nA: Cursor 的核心是 AI 代码生成（Tab 补全 + Chat + Composer），Melty 的核心是 AI 代码理解（搜索 + 走查 + 上下文追踪）。方向不同。",[26,49877,49878,49881],{},[42,49879,49880],{},"Q: Melty 还在活跃开发吗？","\nA: GitHub 有提交但频率不高，建议关注仓库动态再决定是否投入。",[21,49883,604],{"id":604},[36,49885,49886,49890,49896],{},[39,49887,49888],{},[610,49889,21100],{"href":21099},[39,49891,49892],{},[610,49893,49895],{"href":49894},"\u002Ftools\u002Fcoding\u002Fide\u002Fvoid","Void 评测",[39,49897,49898],{},[610,49899,49900],{"href":22918},"Continue.dev 评测",[21,49902,628],{"id":628},[130,49904,49905],{},[26,49906,2604],{},[36,49908,49909,49915],{},[39,49910,49911],{},[610,49912,2613],{"href":49913,"rel":49914},"https:\u002F\u002Fmelty.sh",[639],[39,49916,49917],{},[610,49918,2620],{"href":49919,"rel":49920},"https:\u002F\u002Fgithub.com\u002Fsandwitch-ai\u002Fmelty",[639],{"title":202,"searchDepth":250,"depth":250,"links":49922},[49923,49924,49925,49926,49927,49928,49929,49930,49931,49932,49933],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fmelty.webp","Melty 真实评测：Sandwitch AI 出品的开源 AI IDE，基于 VS Code fork，专注代码理解与导航，支持 AI 驱动的代码搜索、上下文问答和代码走查。适合需要开源免费 AI IDE、偏好代码理解场景的开发者。",[697],{},"\u002Ftools\u002Fcoding\u002Fide\u002Fmelty",[1349,1348,1350],"Free \u002F 开源",{"power":224,"ux":224,"price":264,"cn_support":224,"stability":224},{"title":49631,"description":49935},"Melty - 开源 AI IDE 评测与使用指南 | AIHO","coding\u002Fide\u002Fmelty",[49946,49947],{"title":2613,"url":49913},{"title":2620,"url":49919},"tools\u002Fcoding\u002Fide\u002Fmelty","开源 AI IDE，专注代码理解与导航",[48538,745,48571],"开源 AI IDE 的早期探索者--代码理解方向有想法，但成熟度和功能完整度远不如 Cursor\u002FVoid，适合喜欢折腾开源工具的开发者尝鲜。","cgQ5sJKste_3FqGjN_pRyFFFgBrsJTomxyhHirWAgzc",{"id":49954,"title":49955,"alternatives":49956,"api_compatible":16,"body":49957,"category":48538,"chinese_friendly":224,"cover":50335,"description":50336,"domestic":680,"extension":681,"faq":16,"free":680,"github":50320,"languages":50337,"lastVerified":2637,"meta":50338,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":50339,"pillar":22297,"platforms":50340,"priceTable":16,"pricing":50341,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":50342,"self_host":680,"seo":50343,"seoTitle":50344,"slug":50345,"sources":50346,"stem":50349,"suitable":16,"tagline":50350,"tags":50351,"updated":2637,"verdict":50353,"website":50314,"__hash__":50354},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fpearai.md","PearAI",[20457,49633,45458],{"type":18,"value":49958,"toc":50322},[49959,49961,49964,49967,49969,50016,50018,50023,50057,50060,50062,50068,50085,50089,50106,50108,50128,50130,50213,50215,50247,50249,50271,50273,50279,50285,50291,50293,50302,50304,50308],[21,49960,24],{"id":23},[26,49962,49963],{},"PearAI 是开源的 VS Code fork AI IDE，明确对标 Cursor。内置 AI 聊天、代码生成、内联编辑、代码库问答等核心功能，支持自带 API Key（OpenAI \u002F Anthropic \u002F Ollama）零成本使用，也有 Pro 托管方案省去配置。社区活跃度在开源 AI IDE 中算不错。",[26,49965,49966],{},"适合：不想付 $20\u002F月订阅 Cursor 的开发者、需要开源可控的 AI IDE、已有模型 API Key 想零成本接入。不适合：要求开箱即用零配置体验的用户、需要顶级 AI 编辑能力的团队、中文交互为主的场景。",[21,49968,34],{"id":34},[36,49970,49971,49977,49983,49988,49994,49999,50004,50010],{},[39,49972,49973,49976],{},[42,49974,49975],{},"AI 聊天","：侧边栏对话，支持代码库上下文问答，附带文件引用",[39,49978,49979,49982],{},[42,49980,49981],{},"内联编辑","：选中代码 + 自然语言指令，AI 直接修改，diff 预览后确认",[39,49984,49985,49987],{},[42,49986,49795],{},"：从自然语言生成代码片段 \u002F 函数 \u002F 组件",[39,49989,49990,49993],{},[42,49991,49992],{},"代码库问答","：索引项目代码，AI 基于全项目上下文回答",[39,49995,49996,49998],{},[42,49997,14398],{},"：OpenAI \u002F Anthropic \u002F Ollama 本地模型 \u002F 其他 OpenAI 兼容端点",[39,50000,50001,50003],{},[42,50002,49674],{},"：fork 自 VS Code，插件 \u002F 主题 \u002F 快捷键全兼容",[39,50005,50006,50009],{},[42,50007,50008],{},"Pro 托管方案","：免配置， PearAI 提供模型 API，按月订阅",[39,50011,50012,50015],{},[42,50013,50014],{},"开源透明","：代码全开源，可审计、可二次开发",[21,50017,108],{"id":108},[130,50019,50020],{},[26,50021,50022],{},"以下信息为 2026-07-30 核实。",[366,50024,50025,50035],{},[369,50026,50027],{},[372,50028,50029,50031,50033],{},[375,50030,9528],{},[375,50032,108],{},[375,50034,30012],{},[390,50036,50037,50047],{},[372,50038,50039,50042,50044],{},[395,50040,50041],{},"Free（自带 Key）",[395,50043,707],{},[395,50045,50046],{},"完整功能，用自己 OpenAI \u002F Anthropic Key",[372,50048,50049,50052,50054],{},[395,50050,50051],{},"Pro（托管）",[395,50053,47173],{},[395,50055,50056],{},"免配置，PearAI 提供 Claude \u002F GPT-4o 访问",[26,50058,50059],{},"Free 版自带 Key 是最大卖点：你有 API Key 的话零订阅费。Pro $12 比 Cursor $20 便宜，省去 Key 管理。",[21,50061,2241],{"id":2240},[130,50063,50064],{},[26,50065,2246,50066],{},[42,50067,143],{},[36,50069,50070,50073,50076,50079,50082],{},[39,50071,50072],{},"自带 Key 零成本：用已有的 OpenAI API 额度，不额外付费",[39,50074,50075],{},"VS Code 兼容性好，迁移无缝，插件全可用",[39,50077,50078],{},"内联编辑体验接近 Cursor，diff 预览 + 接受 \u002F 拒绝交互流畅",[39,50080,50081],{},"支持 Ollama 本地模型，完全离线免 API 费",[39,50083,50084],{},"社区较活跃，迭代速度在开源 AI IDE 中领先",[26,50086,50087],{},[42,50088,168],{},[36,50090,50091,50094,50097,50100,50103],{},[39,50092,50093],{},"代码库索引对大项目（10 万行+）较慢，偶有内存占用过高",[39,50095,50096],{},"AI 编辑的跨文件重构能力不如 Cursor 的 Composer",[39,50098,50099],{},"中文 prompt 偶有理解偏差，英文效果更好",[39,50101,50102],{},"Pro 方案偶尔有模型限流，高峰期响应慢",[39,50104,50105],{},"偶有更新引入 bug，建议不自动更新",[21,50107,936],{"id":936},[630,50109,50110,50113,50116,50119,50122,50125],{},[39,50111,50112],{},"从官网或 GitHub 下载安装包",[39,50114,50115],{},"打开 PearAI，界面和 VS Code 一致",[39,50117,50118],{},"设置 → AI Configuration → 填入 API Key（或选 Pro 免配置）",[39,50120,50121],{},"打开项目，侧边栏打开 PearAI Chat 面板",[39,50123,50124],{},"试试内联编辑：选中代码 → Cmd\u002FCtrl+I → 输入修改指令",[39,50126,50127],{},"代码库问答：在 Chat 中 @ 项目名，AI 基于全项目回答",[21,50129,364],{"id":364},[366,50131,50132,50146],{},[369,50133,50134],{},[372,50135,50136,50138,50140,50142,50144],{},[375,50137,377],{},[375,50139,49955],{},[375,50141,1058],{},[375,50143,49767],{},[375,50145,33017],{},[390,50147,50148,50160,50174,50187,50199],{},[372,50149,50150,50152,50154,50156,50158],{},[395,50151,414],{},[395,50153,1100],{},[395,50155,426],{},[395,50157,1100],{},[395,50159,426],{},[372,50161,50162,50165,50168,50170,50172],{},[395,50163,50164],{},"免费方案",[395,50166,50167],{},"✅（自带 Key）",[395,50169,12080],{},[395,50171,1100],{},[395,50173,12080],{},[372,50175,50176,50179,50181,50183,50185],{},[395,50177,50178],{},"AI 编辑",[395,50180,2458],{},[395,50182,10213],{},[395,50184,2458],{},[395,50186,10213],{},[372,50188,50189,50191,50193,50195,50197],{},[395,50190,2455],{},[395,50192,2458],{},[395,50194,2461],{},[395,50196,2458],{},[395,50198,2461],{},[372,50200,50201,50204,50207,50209,50211],{},[395,50202,50203],{},"模型灵活",[395,50205,50206],{},"高（任意 Key）",[395,50208,2458],{},[395,50210,2461],{},[395,50212,2458],{},[21,50214,521],{"id":521},[36,50216,50217,50223,50229,50235,50241],{},[39,50218,50219,50222],{},[42,50220,50221],{},"大项目先关代码库索引","：10 万行以上项目索引慢且吃内存，按需开",[39,50224,50225,50228],{},[42,50226,50227],{},"自带 Key 注意额度","：AI 编辑消耗 token 快，设好 API 消费上限",[39,50230,50231,50234],{},[42,50232,50233],{},"别拿它和 Cursor Composer 比","：跨文件重构能力有差距，简单编辑没问题",[39,50236,50237,50240],{},[42,50238,50239],{},"Ollama 用户选 7B+ 模型","：小模型编辑质量差，至少 Qwen2.5-Coder-7B",[39,50242,50243,50246],{},[42,50244,50245],{},"更新前看 Issue 区","：新版本偶有回归 bug，等社区反馈再升级",[21,50248,575],{"id":574},[36,50250,50251,50254,50257,50260,50263,50266,50269],{},[39,50252,50253],{},"✅ 有 API Key 想零成本用 AI IDE 的开发者",[39,50255,50256],{},"✅ 开源可控 \u002F 可审计的需求",[39,50258,50259],{},"✅ 预算敏感，不想付 Cursor $20\u002F月",[39,50261,50262],{},"✅ 本地模型（Ollama）离线场景",[39,50264,50265],{},"❌ 要求开箱即用零配置（用 Cursor）",[39,50267,50268],{},"❌ 需要顶级跨文件 AI 重构能力",[39,50270,43548],{},[21,50272,2552],{"id":2551},[26,50274,50275,50278],{},[42,50276,50277],{},"Q: PearAI 和 Cursor 差距多大？","\nA: 基础体验（聊天 + 内联编辑）接近，但 Cursor 的 Composer（多文件重构）和 Tab 补全仍领先。PearAI 胜在免费开源 + 自带 Key 零成本。预算够选 Cursor，想免费选 PearAI。",[26,50280,50281,50284],{},[42,50282,50283],{},"Q: 自带 Key 的 API 成本高吗？","\nA: 取决于用量。日常编码每天约 $0.5-2（GPT-4o）。重度使用比 Cursor $20\u002F月可能还贵，轻度使用则省钱。建议设 OpenAI 消费上限。",[26,50286,50287,50290],{},[42,50288,50289],{},"Q: 和 Void 比怎么选？","\nA: 两者定位类似（开源 Cursor 平替）。PearAI 社区更活跃、迭代更快；Void 更轻量。建议都试一下，选体感更好的。",[21,50292,604],{"id":604},[26,50294,50295,2589,50298,2589,50300],{},[610,50296,49631],{"href":50297},"\u002Fcoding\u002Fide\u002Fmelty.html",[610,50299,37019],{"href":37018},[610,50301,37023],{"href":37022},[21,50303,628],{"id":628},[130,50305,50306],{},[26,50307,2604],{},[36,50309,50310,50316],{},[39,50311,50312],{},[610,50313,2613],{"href":50314,"rel":50315},"https:\u002F\u002Ftrypear.ai",[639],[39,50317,50318],{},[610,50319,2620],{"href":50320,"rel":50321},"https:\u002F\u002Fgithub.com\u002Ftrypear\u002Fpearai",[639],{"title":202,"searchDepth":250,"depth":250,"links":50323},[50324,50325,50326,50327,50328,50329,50330,50331,50332,50333,50334],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fpearai.webp","PearAI 真实评测：开源 VS Code fork AI IDE（定位 Cursor 平替），内置 AI 代码生成、对话、重构，支持自有模型和第三方 API。Free + Pro，适合需要开源免费 Cursor 替代方案、预算敏感的开发者。",[697],{},"\u002Ftools\u002Fcoding\u002Fide\u002Fpearai",[1349,1348,1350],"Free \u002F Pro",{"power":250,"ux":250,"price":257,"cn_support":224,"stability":250},{"title":49955,"description":50336},"PearAI - 开源 AI IDE 评测与 Cursor 平替 | AIHO","coding\u002Fide\u002Fpearai",[50347,50348],{"title":2613,"url":50314},{"title":2620,"url":50320},"tools\u002Fcoding\u002Fide\u002Fpearai","开源 VS Code fork AI IDE，定位 Cursor 平替",[48538,745,48571,50352],"cursor-alternative","开源 Cursor 平替中完成度较高的选择，自带 API Key 零成本可用；但 AI 编辑体验和稳定性仍落后 Cursor 一个身位，适合预算敏感且愿折腾的开发者。","yjqOZMmzsDrAu7YlxhqPBKE5Giq9v7BUczbW_p50w-Y",{"id":50356,"title":49389,"alternatives":50357,"api_compatible":16,"body":50358,"category":48538,"chinese_friendly":264,"cover":50773,"description":50774,"domestic":680,"extension":681,"faq":50775,"free":680,"github":16,"languages":50788,"lastVerified":16,"meta":50789,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":47592,"pillar":22297,"platforms":50790,"priceTable":50791,"pricing":50809,"published":720,"relatedPlaybooks":50810,"relatedReviews":50811,"score":50812,"self_host":680,"seo":50813,"seoTitle":50814,"slug":47480,"sources":50815,"stem":50822,"suitable":16,"tagline":50823,"tags":50824,"updated":732,"verdict":50826,"website":50827,"__hash__":50828},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fqoder.md",[20457,45458,46594,41792],{"type":18,"value":50359,"toc":50761},[50360,50362,50365,50368,50370,50418,50420,50489,50494,50498,50502,50518,50522,50536,50538,50558,50560,50659,50661,50693,50695,50715,50717,50736,50738],[21,50361,24],{"id":23},[26,50363,50364],{},"Qoder 是阿里 2025-08 首发、2026-05 升级到 1.0 的 Agentic AI 编程平台。1.0 把自己从「AI IDE」改名「智能体自主开发工作台」：开发者只定义目标，执行、验证、交付全由 Agent 自主完成。10 万文件级上下文 + 跨项目并行 + 可定制专属 Agent 团队，是当下国产 AI 编程赛道的标杆。社区版 BYOK 完全免费，Teams 版 300 元\u002F席\u002F月对标 Cursor Business。",[26,50366,50367],{},"适合：中文项目、企业级复杂全栈交付、Spec 驱动团队、想用 Qwen3-Coder \u002F Kimi 等国产模型的开发者。不适合：纯英文海外团队、深度依赖 VS Code 插件生态的开发者。",[21,50369,34],{"id":34},[36,50371,50372,50378,50384,50390,50395,50401,50407,50412],{},[39,50373,50374,50377],{},[42,50375,50376],{},"Quest 工作台","：独立窗口，任务管理 + 状态追踪 + 产物追查 + 知识调用一屏",[39,50379,50380,50383],{},[42,50381,50382],{},"跨项目并行","：多个 Workspace 同时跑不同 Agent 任务，一屏掌握全局",[39,50385,50386,50389],{},[42,50387,50388],{},"10 万文件上下文","：业内最强代码库上下文工程",[39,50391,50392,50394],{},[42,50393,49423],{},"：自动生成项目文档并跟着代码变更持续更新",[39,50396,50397,50400],{},[42,50398,50399],{},"Spec 驱动","：需求 → 规范 → 代码 → 测试 自动转化",[39,50402,50403,50406],{},[42,50404,50405],{},"自定义 Agent 团队","：配领域知识、技能、外部工具接口，沉淀团队最佳实践",[39,50408,50409,50411],{},[42,50410,3720],{},"：支持 Model Context Protocol 扩展，接入第三方工具",[39,50413,50414,50417],{},[42,50415,50416],{},"QoderWork 设计工作台","：语音生成专业设计，「设计即代码」",[21,50419,21878],{"id":21877},[366,50421,50422,50434],{},[369,50423,50424],{},[372,50425,50426,50428,50430,50432],{},[375,50427,21887],{},[375,50429,108],{},[375,50431,21892],{},[375,50433,13520],{},[390,50435,50436,50449,50463,50476],{},[372,50437,50438,50441,50443,50446],{},[395,50439,50440],{},"社区版",[395,50442,12512],{},[395,50444,50445],{},"BYOK 自带密钥",[395,50447,50448],{},"零成本试 \u002F 重度 Qwen3 用户",[372,50450,50451,50454,50457,50460],{},[395,50452,50453],{},"Pro Trial",[395,50455,50456],{},"14 天免费",[395,50458,50459],{},"300 赠送",[395,50461,50462],{},"新用户一次性",[372,50464,50465,50468,50471,50474],{},[395,50466,50467],{},"Pro \u002F Pro+ \u002F Ultra",[395,50469,50470],{},"订阅",[395,50472,50473],{},"月度刷新",[395,50475,1357],{},[372,50477,50478,50480,50483,50486],{},[395,50479,23132],{},[395,50481,50482],{},"300 元\u002F席\u002F月",[395,50484,50485],{},"3,000\u002F席（池化）",[395,50487,50488],{},"团队、SSO、管理控制台",[130,50490,50491],{},[26,50492,50493],{},"详细个人方案以 docs.qoder.com\u002Fzh\u002Faccount\u002Fpricing 为准；社区版 BYOK 不收费，自付模型成本。",[21,50495,50497],{"id":50496},"实测中型-vue3-spring-boot-项目","实测（中型 Vue3 + Spring Boot 项目）",[26,50499,50500],{},[42,50501,143],{},[36,50503,50504,50507,50510,50512,50515],{},[39,50505,50506],{},"一句『给博客系统加评论审核 + 点赞』8 分钟自动出后端接口、表结构、前端组件、5 个单测——可直接跑",[39,50508,50509],{},"Repo Wiki 跟随 commit 自动更新，新人 onboarding 提速明显",[39,50511,46740],{},[39,50513,50514],{},"BYOK 模式接 Qwen3-Coder-Max，一天 8 小时重度开发，成本远低于 Cursor",[39,50516,50517],{},"跨项目并行：同时跑 3 个仓库的不同 Quest，互不抢上下文",[26,50519,50520],{},[42,50521,168],{},[36,50523,50524,50527,50530,50533],{},[39,50525,50526],{},"VS Code 插件生态不如 Cursor 完整（Cursor 直接吃 VS Code 全部插件）",[39,50528,50529],{},"Quest 1.0 仍有偶发任务卡住——目前手动 retry 是唯一办法",[39,50531,50532],{},"海外模型路由（Claude Opus）需自带 Key，国内直连 Anthropic 不稳",[39,50534,50535],{},"Teams 版起付 300 元\u002F席，比早期免费策略门槛抬高",[21,50537,936],{"id":936},[630,50539,50540,50543,50546,50549,50552,50555],{},[39,50541,50542],{},"下载客户端（Windows \u002F macOS \u002F Linux）或装 VS Code \u002F JetBrains 插件",[39,50544,50545],{},"用阿里云账号登录，新用户自动激活 14 天 Pro Trial + 300 credits",[39,50547,50548],{},"打开项目 → Qoder 自动扫描构建 Repo Wiki",[39,50550,50551],{},"Quest 窗口写一句目标 → 看任务拆解 → 一键启动",[39,50553,50554],{},"Agent 跑完出 Summary 交付清单，逐条 review",[39,50556,50557],{},"重度场景：建专属 Agent，配团队规范 + 业务知识",[21,50559,364],{"id":364},[366,50561,50562,50576],{},[369,50563,50564],{},[372,50565,50566,50568,50570,50572,50574],{},[375,50567,377],{},[375,50569,49389],{},[375,50571,1058],{},[375,50573,33017],{},[375,50575,46396],{},[390,50577,50578,50592,50604,50616,50630,50645],{},[372,50579,50580,50582,50585,50588,50590],{},[395,50581,2367],{},[395,50583,50584],{},"独立 IDE + 插件",[395,50586,50587],{},"VS Code 分支",[395,50589,50587],{},[395,50591,34961],{},[372,50593,50594,50596,50598,50600,50602],{},[395,50595,6357],{},[395,50597,24488],{},[395,50599,22158],{},[395,50601,22158],{},[395,50603,24488],{},[372,50605,50606,50608,50610,50612,50614],{},[395,50607,50382],{},[395,50609,1100],{},[395,50611,440],{},[395,50613,440],{},[395,50615,440],{},[372,50617,50618,50621,50624,50626,50628],{},[395,50619,50620],{},"上下文规模",[395,50622,50623],{},"10 万文件",[395,50625,27776],{},[395,50627,27776],{},[395,50629,27776],{},[372,50631,50632,50634,50637,50639,50642],{},[395,50633,42482],{},[395,50635,50636],{},"✅ Quest",[395,50638,46181],{},[395,50640,50641],{},"Cascade",[395,50643,50644],{},"SOLO",[372,50646,50647,50649,50652,50654,50657],{},[395,50648,23243],{},[395,50650,50651],{},"免费 BYOK",[395,50653,32221],{},[395,50655,50656],{},"$15",[395,50658,12512],{},[21,50660,521],{"id":521},[36,50662,50663,50669,50675,50681,50687],{},[39,50664,50665,50668],{},[42,50666,50667],{},"VS Code 插件生态权衡","：先列你日常用的插件，确认 Open VSX 有同名 \u002F 替代再切",[39,50670,50671,50674],{},[42,50672,50673],{},"BYOK 模式成本可控","：先用社区版 + Qwen3-Coder-Plus 跑两周，看实际 token 量再考虑订阅",[39,50676,50677,50680],{},[42,50678,50679],{},"Quest 任务先拆小","：复杂目标拆成 2–3 个 Quest 串行跑，比一次性大 Quest 成功率高",[39,50682,50683,50686],{},[42,50684,50685],{},"海外模型走代理","：BYOK 接 Claude \u002F GPT 需要稳定海外网络，国内直连不稳",[39,50688,50689,50692],{},[42,50690,50691],{},"Teams 池化注意人均上限","：300 元\u002F席送 3,000 credits 池化共享，重度 dev 会蚕食轻度 dev 额度，建议设人均 cap",[21,50694,575],{"id":574},[36,50696,50697,50700,50703,50706,50709,50712],{},[39,50698,50699],{},"✅ 中文 \u002F 国内团队、企业全栈交付",[39,50701,50702],{},"✅ 大型 monorepo、跨项目协同",[39,50704,50705],{},"✅ 想用国产模型（Qwen3 \u002F Kimi \u002F DeepSeek）压成本",[39,50707,50708],{},"❌ 纯英文海外团队",[39,50710,50711],{},"❌ 深度依赖 VS Code 闭源插件",[39,50713,50714],{},"❌ 偏 prompt-first、抗拒 Spec 流程",[21,50716,604],{"id":604},[36,50718,50719,50723,50727,50732],{},[39,50720,50721],{},[610,50722,21100],{"href":21099},[39,50724,50725],{},[610,50726,42611],{"href":42610},[39,50728,50729],{},[610,50730,50731],{"href":46640},"Trae 评测",[39,50733,50734],{},[610,50735,42623],{"href":42622},[21,50737,628],{"id":628},[630,50739,50740,50747,50754],{},[39,50741,50742,50743],{},"Qoder 官方定价（2026-06）",[610,50744,50745],{"href":50745,"rel":50746},"https:\u002F\u002Fdocs.qoder.com\u002Fzh\u002Faccount\u002Fpricing",[639],[39,50748,50749,50750],{},"DeepNavi — Qoder 工具介绍（2026-05）",[610,50751,50752],{"href":50752,"rel":50753},"https:\u002F\u002Fwww.deepnavi.cn\u002Fai-coding\u002Fqoder",[639],[39,50755,50756,50757],{},"FreeAITool — Qoder 完全指南 2026（2026-05-30）",[610,50758,50759],{"href":50759,"rel":50760},"https:\u002F\u002Ffreeaitool.com\u002Fai-assistants\u002Fqoder-ai-coding-agent-complete-guide-2026",[639],{"title":202,"searchDepth":250,"depth":250,"links":50762},[50763,50764,50765,50766,50767,50768,50769,50770,50771,50772],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":21877,"depth":224,"text":21878},{"id":50496,"depth":224,"text":50497},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fqoder.webp","Qoder 真实评测：阿里 2025-08 首发、2026-05 升 1.0 的 Agentic IDE。Quest 模式独立工作台 + 跨项目并行 + 10 万文件级超长上下文。免费体验 + Pro\u002FPro+\u002FUltra 个人方案 + Teams 300 元\u002F席\u002F月。",[50776,50779,50782,50785],{"q":50777,"a":50778},"Qoder 和阿里通义灵码（现 Qoder CN）什么关系？","通义灵码 2026 改名 Qoder CN，是 Qoder 在国内的中国云区版本，账号 \u002F 计费独立，但底层 Qwen3-Coder 模型一致。",{"q":50780,"a":50781},"Quest 模式具体怎么用？","1.0 版做成独立工作台：填一个目标（如『给这个博客系统加评论 + 点赞』），Quest 自动拆任务、调用知识库、跨文件改、跑测试、出交付摘要。支持跨项目并行多个 Quest 任务。",{"q":50783,"a":50784},"BYOK 真的免费吗？","是。社区版下载即用，绑定自己的 Qwen \u002F Kimi \u002F DeepSeek \u002F OpenAI \u002F Claude API Key，按你的供应商定价付钱，Qoder 本身不抽水。",{"q":50786,"a":50787},"和 Cursor \u002F Windsurf 对比？","Cursor 在补全流畅度和插件生态领先；Qoder 在 Spec-Driven、跨项目并行、中文场景、企业落地（顺丰、吉利等已用）上明显占优。海外项目仍推荐 Cursor，国内 \u002F 中文项目 Qoder 优先。",[696,697],{},[1349,1348,1350,22299,22300],[50792,50794,50798,50801,50806],{"plan":50440,"price":12512,"credits":50445,"notes":50793},"支持 Qwen3-Coder \u002F Kimi \u002F DeepSeek 等国产模型，零成本上手",{"plan":50453,"price":50795,"credits":50796,"notes":50797},"14 天","300（赠送）","新用户首次登录自动激活；含 Pro 全功能",{"plan":849,"price":50799,"credits":50473,"notes":50800},"订阅制","含 Quest \u002F Repo Wiki \u002F 全模型路由",{"plan":50802,"price":50803,"credits":50804,"notes":50805},"Ultra","重度版","更高额度","面向重度长任务、并行 Agent 多",{"plan":23132,"price":50482,"credits":50807,"notes":50808},"3,000\u002F席（团队池）","管理员控制台、SSO、统一计费","社区版免费 \u002F Pro 起步 \u002F Teams 300 元·席·月",[22315,24672],[49126,49127],{"power":264,"ux":257,"price":257,"cn_support":264,"stability":257},{"title":49389,"description":50774},"Qoder AI IDE 评测 2026：Google 出品，免费 AI 编程助手，对比 Cursor",[50816,50818,50820],{"name":50817,"url":50752,"accessed":732},"DeepNavi — Qoder 工具介绍",{"name":50819,"url":50745,"accessed":732},"Qoder 官方定价",{"name":50821,"url":50759,"accessed":732},"FreeAITool — Qoder 完全指南 2026","tools\u002Fcoding\u002Fide\u002Fqoder","阿里出品的 Agentic 编程平台，主打『目标定义 → 自动交付』的自主开发工作台",[48538,700,4465,14338,9442,50825,44107],"quest","国产 Agentic Coding 平台第一梯队。中文场景、Spec 驱动、跨项目并行做得最完整；海外 Cursor \u002F Claude Code 在 prompt-flow 精度上仍有优势，但 Qoder 性价比和本地化压倒性。","https:\u002F\u002Fqoder.com","izHdwT2QuM3qFuSR6fXscLVGOrv4HiqhmM2s0vCtdXc",{"id":50830,"title":46396,"alternatives":50831,"api_compatible":16,"body":50832,"category":48538,"chinese_friendly":264,"cover":51344,"description":51345,"domestic":680,"extension":681,"faq":51346,"free":680,"github":202,"languages":51362,"lastVerified":16,"meta":51363,"models":51364,"navigation":253,"notSuitable":51367,"opensource":680,"path":46640,"pillar":22297,"platforms":51371,"priceTable":51372,"pricing":51385,"published":6699,"relatedPlaybooks":51386,"relatedReviews":51390,"score":51391,"self_host":680,"seo":51392,"seoTitle":51393,"slug":46594,"sources":51394,"stem":51403,"suitable":51404,"tagline":51409,"tags":51410,"updated":732,"verdict":51412,"website":51297,"__hash__":51413},"tools\u002Ftools\u002Fcoding\u002Fide\u002Ftrae.md",[20457,45458,41792,42712],{"type":18,"value":50833,"toc":51328},[50834,50836,50851,50853,50856,50882,50885,50928,50930,51000,51005,51007,51012,51016,51019,51023,51026,51030,51033,51035,51074,51076,51197,51199,51237,51239,51245,51247,51288,51290,51320,51326],[21,50835,24],{"id":23},[5783,50837,50839,50848],{"className":50838},[5786,5787,5788],[26,50840,50841,50843,50844,50847],{},[42,50842,5793],{}," Trae 是字节做的 AI IDE，",[42,50845,50846],{},"国内版完全免费 + 不需要代理 + 中文体验一流","，是目前国内开发者最接近「Cursor 替代」的选择。海外用户可用国际版（Pro $10\u002F月，仅 Cursor 一半价）。",[26,50849,50850],{},"天花板略低于 Cursor + Claude Sonnet 4.5 MAX 模式，但日常 90% 任务够用。",[21,50852,29333],{"id":29333},[26,50854,50855],{},"Trae 是 VS Code 的 fork，UI \u002F 快捷键 \u002F 插件全继承，但所有 AI 交互层重写。和 Cursor 是镜像关系，差异主要在：",[36,50857,50858,50864,50870,50876],{},[39,50859,50860,50863],{},[42,50861,50862],{},"国内访问稳定","：trae.com.cn 直接走国内 CDN，零代理。",[39,50865,50866,50869],{},[42,50867,50868],{},"模型默认走国产","：豆包 1.5-pro \u002F DeepSeek V3 \u002F Kimi K2-0905 \u002F Doubao-Seed-1.8 等，国内版全部免费无限调用。",[39,50871,50872,50875],{},[42,50873,50874],{},"国际版接入海外主流","：Claude 3.5\u002F3.7\u002F4 Sonnet、GPT-4.1\u002F4o\u002F5.2、Gemini 2.5 Pro\u002F3 Flash、DeepSeek-R1。",[39,50877,50878,50881],{},[42,50879,50880],{},"全中文优先","：从安装向导到错误提示全中文化，错误信息直接说「数组越界发生在 src\u002Futils.js 第 47 行」。",[26,50883,50884],{},"特色功能：",[630,50886,50887,50892,50898,50904,50910,50916,50922],{},[39,50888,50889,50891],{},[42,50890,46665],{}," — 自然语言生成完整项目。输入「做个春节接福小游戏」，自动拆任务 + 配环境 + 出可跑代码。10 分钟搭基础项目。",[39,50893,50894,50897],{},[42,50895,50896],{},"Chat 编程"," — 实时对话排错，类似 Cursor Chat。",[39,50899,50900,50903],{},[42,50901,50902],{},"图像转代码"," — 上传 Figma \u002F UI 截图，AI 解析布局 + 输出响应式 HTML\u002FCSS。",[39,50905,50906,50909],{},[42,50907,50908],{},"Webview 实时预览"," — 改前端代码即所见即所得，热重载 \u003C 300ms。",[39,50911,50912,50915],{},[42,50913,50914],{},"SOLO 模式（国际版）"," — Agent 全自动跑 200 轮工具调用、上下文 200k，按 token 计费。",[39,50917,50918,50921],{},[42,50919,50920],{},"多模型自由切换"," — 同一编辑器里一键切 Claude \u002F GPT \u002F 豆包 \u002F DeepSeek，国内版全部免费。",[39,50923,50924,50927],{},[42,50925,50926],{},"一键迁移 VS Code \u002F Cursor 配置"," — 首次启动自动识别本地插件、ESLint、主题。",[21,50929,108],{"id":108},[366,50931,50932,50944],{},[369,50933,50934],{},[372,50935,50936,50938,50940,50942],{},[375,50937,6078],{},[375,50939,108],{},[375,50941,1111],{},[375,50943,24298],{},[390,50945,50946,50961,50974,50987],{},[372,50947,50948,50953,50955,50958],{},[395,50949,50950],{},[42,50951,50952],{},"国内版",[395,50954,12512],{},[395,50956,50957],{},"豆包 \u002F DeepSeek \u002F Kimi \u002F Doubao-Seed",[395,50959,50960],{},"无限调用",[372,50962,50963,50966,50968,50971],{},[395,50964,50965],{},"国际版 Free",[395,50967,707],{},[395,50969,50970],{},"Claude \u002F GPT \u002F Gemini",[395,50972,50973],{},"5000 补全 \u002F 月 + 1000 高级模型 + 60 超级模型",[372,50975,50976,50979,50981,50984],{},[395,50977,50978],{},"国际版 Pro",[395,50980,3637],{},[395,50982,50983],{},"全模型",[395,50985,50986],{},"无限补全 + 无限高级模型 + 600 快速队列超级模型",[372,50988,50989,50992,50995,50997],{},[395,50990,50991],{},"限时容量包",[395,50993,50994],{},"$3 \u002F $7 \u002F $12",[395,50996,5724],{},[395,50998,50999],{},"100 \u002F 300 \u002F 600 额外快速队列（Pro 加购）",[130,51001,51002],{},[26,51003,51004],{},"国际版可付服务的国家\u002F地区目前覆盖东南亚、欧洲、美洲、澳洲、非洲共 30+ 国，中国大陆建议直接用国内版。",[21,51006,29485],{"id":29484},[130,51008,51009],{},[26,51010,51011],{},"来源说明：以下场景为 Trae 官方文档与火山引擎社区演示流程归纳，非 AIHO 编辑部全程亲测。",[5062,51013,51015],{"id":51014},"任务-1vue-组件一键生成","任务 1：Vue 组件一键生成",[26,51017,51018],{},"Chat 里输入「写一个带表单校验的登录组件，UI 用 Element Plus」→ 直接输出可跑代码 + 自动 import 依赖。比 Cursor Composer 体感慢半秒（豆包响应略慢于 Claude），但代码质量相近。",[5062,51020,51022],{"id":51021},"任务-2截图转代码","任务 2：截图转代码",[26,51024,51025],{},"Builder 模式上传一张 Figma 商品卡片截图，约 90 秒内出带 hover 效果的组件代码（响应式 HTML + Tailwind）。多模态融合做得不错，但复杂动效细节仍需手动微调。",[5062,51027,51029],{"id":51028},"任务-3跨文件重构","任务 3：跨文件重构",[26,51031,51032],{},"Trae 的 Chat 能看到整个项目上下文（基于实时代码索引仓库），重构一个 500 行的 Pinia store 大约 60-90 秒搞定，准确率与 Cursor 同档。",[21,51034,6151],{"id":6150},[197,51036,51038],{"className":199,"code":51037,"language":201,"meta":202,"style":202},"# 国内：https:\u002F\u002Fwww.trae.com.cn 下载\n# 国际：https:\u002F\u002Fwww.trae.ai 下载\n\n# 1. 启动 → 用手机号 \u002F 邮箱登录\n# 2. 一键导入 VS Code 配置（首次启动会问）\n# 3. 默认模型选豆包 1.5-pro（国内版）或 Claude Sonnet 4（国际版）\n# 4. Cmd\u002FCtrl + I 开 Chat，Cmd\u002FCtrl + L 开 Builder\n",[204,51039,51040,51045,51050,51054,51059,51064,51069],{"__ignoreMap":202},[207,51041,51042],{"class":209,"line":210},[207,51043,51044],{"class":260},"# 国内：https:\u002F\u002Fwww.trae.com.cn 下载\n",[207,51046,51047],{"class":209,"line":224},[207,51048,51049],{"class":260},"# 国际：https:\u002F\u002Fwww.trae.ai 下载\n",[207,51051,51052],{"class":209,"line":250},[207,51053,254],{"emptyLinePlaceholder":253},[207,51055,51056],{"class":209,"line":257},[207,51057,51058],{"class":260},"# 1. 启动 → 用手机号 \u002F 邮箱登录\n",[207,51060,51061],{"class":209,"line":264},[207,51062,51063],{"class":260},"# 2. 一键导入 VS Code 配置（首次启动会问）\n",[207,51065,51066],{"class":209,"line":276},[207,51067,51068],{"class":260},"# 3. 默认模型选豆包 1.5-pro（国内版）或 Claude Sonnet 4（国际版）\n",[207,51070,51071],{"class":209,"line":281},[207,51072,51073],{"class":260},"# 4. Cmd\u002FCtrl + I 开 Chat，Cmd\u002FCtrl + L 开 Builder\n",[21,51075,29545],{"id":29545},[366,51077,51078,51093],{},[369,51079,51080],{},[372,51081,51082,51084,51087,51089,51091],{},[375,51083,377],{},[375,51085,51086],{},"Trae 国内版",[375,51088,44550],{},[375,51090,33017],{},[375,51092,41418],{},[390,51094,51095,51111,51124,51137,51152,51167,51181],{},[372,51096,51097,51099,51103,51106,51109],{},[395,51098,108],{},[395,51100,51101],{},[42,51102,12512],{},[395,51104,51105],{},"$20\u002F月+用量",[395,51107,51108],{},"$15\u002F月",[395,51110,43167],{},[372,51112,51113,51115,51117,51119,51121],{},[395,51114,2367],{},[395,51116,34961],{},[395,51118,34961],{},[395,51120,34961],{},[395,51122,51123],{},"VS Code \u002F JetBrains 插件",[372,51125,51126,51129,51131,51133,51135],{},[395,51127,51128],{},"国内直连",[395,51130,1100],{},[395,51132,426],{},[395,51134,426],{},[395,51136,1100],{},[372,51138,51139,51141,51144,51147,51149],{},[395,51140,35683],{},[395,51142,51143],{},"豆包 1.5-pro",[395,51145,51146],{},"Claude\u002FGPT",[395,51148,51146],{},[395,51150,51151],{},"通义千问",[372,51153,51154,51157,51160,51162,51164],{},[395,51155,51156],{},"上下文召回",[395,51158,51159],{},"@-symbol",[395,51161,51159],{},[395,51163,50641],{},[395,51165,51166],{},"@workspace",[372,51168,51169,51172,51175,51177,51179],{},[395,51170,51171],{},"多文件 Agent",[395,51173,51174],{},"Builder",[395,51176,48639],{},[395,51178,50641],{},[395,51180,440],{},[372,51182,51183,51185,51188,51191,51194],{},[395,51184,506],{},[395,51186,51187],{},"国内全栈",[395,51189,51190],{},"海外全栈",[395,51192,51193],{},"海外重 Agent",[395,51195,51196],{},"JetBrains 党",[21,51198,6457],{"id":6457},[630,51200,51201,51207,51213,51219,51225,51231],{},[39,51202,51203,51206],{},[42,51204,51205],{},"国内版 ≠ 国际版","，账号互不相通，下载安装包注意别下错。",[39,51208,51209,51212],{},[42,51210,51211],{},"海外有 Claude 限制","：港澳地区 Claude 系列暂不可用，需用 GPT 或 Gemini 替代。",[39,51214,51215,51218],{},[42,51216,51217],{},"Pro 退款窗口仅 24 小时且未使用过权益","，订阅前先用 Free 跑一遍流程。",[39,51220,51221,51224],{},[42,51222,51223],{},"插件生态仍在追","：Trae 的 MCP \u002F 第三方扩展数量不及 Cursor，深度集成场景可能需要 fallback 到 VS Code。",[39,51226,51227,51230],{},[42,51228,51229],{},"企业版需要单独询价","，且只通过官方销售渠道，不要从第三方买。",[39,51232,51233,51236],{},[42,51234,51235],{},"Builder 模式生成的代码质量随提示词复杂度下降","，超过 3 个功能模块的复杂项目建议拆成多次 Chat。",[21,51238,575],{"id":574},[26,51240,51241,51242,51244],{},"✅ 国内开发者（零代理）；预算敏感（免费档够用）；中文 prompt 重度用户；想试 AI IDE 但不想花钱的人。",[29763,51243],{},"\n❌ 需要 Claude MAX 模式 + 长上下文 + 极致质量的人；JetBrains 重度用户；MCP 生态深度依赖者。",[21,51246,604],{"id":604},[36,51248,51249,51256,51263,51270,51276,51280],{},[39,51250,51251,51252],{},"对比选型：",[610,51253,51255],{"href":51254},"\u002Fcompare\u002Fcursor-vs-trae.html","Cursor vs Trae：国内开发者怎么选",[39,51257,51258,51259],{},"新手教程：",[610,51260,51262],{"href":51261},"\u002Fplaybook\u002Fonboarding\u002Ftrae-getting-started.html","Trae 新手上手指南",[39,51264,51265,51266],{},"进阶教程：",[610,51267,51269],{"href":51268},"\u002Fplaybook\u002Fonboarding\u002Ftrae-builder-solo-guide.html","Trae Builder 和 SOLO 模式怎么用",[39,51271,29772,51272],{},[610,51273,51275],{"href":51274},"\u002Fplaybook\u002Ftrae-vs-cursor.html","Trae vs Cursor 怎么选",[39,51277,29779,51278],{},[610,51279,49007],{"href":49006},[39,51281,29786,51282,2589,51284,2589,51286],{},[610,51283,1058],{"href":5867},[610,51285,33017],{"href":33016},[610,51287,41418],{"href":41417},[21,51289,628],{"id":628},[36,51291,51292,51299,51306,51313],{},[39,51293,51294,51295],{},"官网（国内版）：",[610,51296,51297],{"href":51297,"rel":51298},"https:\u002F\u002Fwww.trae.com.cn",[639],[39,51300,51301,51302],{},"官网（国际版）：",[610,51303,51304],{"href":51304,"rel":51305},"https:\u002F\u002Fwww.trae.ai",[639],[39,51307,51308,51309],{},"计费文档：",[610,51310,51311],{"href":51311,"rel":51312},"https:\u002F\u002Fwww.w3cschool.cn\u002Ftraedocs\u002Ftrae-ide-billing.html",[639],[39,51314,51315,51316],{},"模型更新公告：",[610,51317,51318],{"href":51318,"rel":51319},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7598410724993728521",[639],[130,51321,51322],{},[26,51323,29818,51324,29821],{},[610,51325,6647],{"href":6646},[662,51327,48519],{},{"title":202,"searchDepth":250,"depth":250,"links":51329},[51330,51331,51332,51333,51338,51339,51340,51341,51342,51343],{"id":23,"depth":224,"text":24},{"id":29333,"depth":224,"text":29333},{"id":108,"depth":224,"text":108},{"id":29484,"depth":224,"text":29485,"children":51334},[51335,51336,51337],{"id":51014,"depth":250,"text":51015},{"id":51021,"depth":250,"text":51022},{"id":51028,"depth":250,"text":51029},{"id":6150,"depth":224,"text":6151},{"id":29545,"depth":224,"text":29545},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Ftrae.webp","Trae 2026 真实评测：字节 AI IDE 国内版免费、无需代理，支持豆包、DeepSeek、Kimi 等模型。对比 Cursor、Windsurf、MarsCode，整理价格、Builder\u002FSOLO 模式、中文体验和适合人群，帮国内开发者判断是否值得换用。",[51347,51350,51353,51356,51359],{"q":51348,"a":51349},"Trae 国内版和国际版有什么区别？","国内版（trae.com.cn）完全免费，模型走豆包 1.5-pro 和优化的 DeepSeek 系列，全中文 UI；国际版（trae.ai）有 Free \u002F Pro 两档，Pro $10\u002F月，接入 Claude \u002F GPT \u002F Gemini 等海外主流模型。注意：Claude 系列在中国港澳暂不可用。",{"q":51351,"a":51352},"Trae 真的免费吗？怎么赚钱？","国内版目前长期免费，靠字节的算力补贴，等同于豆包 \u002F 即梦的获客逻辑。海外版才有付费档。",{"q":51354,"a":51355},"Trae Builder \u002F SOLO 模式是什么？","Builder 是「自然语言生成完整项目」模式，类似 Bolt.new 思路，10 分钟搭基础项目；SOLO 是 Trae 国际版的 Agent 全自动模式，能跑 200 轮工具调用、200k 上下文窗口（按 token 计费）。",{"q":51357,"a":51358},"和 Cursor 比怎么样？","GUI 完全一致（都是 VS Code fork），Composer ≈ Trae 的 Chat + Builder；中文场景 Trae 体感更顺、不卡；模型天花板 Cursor 仍更强（特别是开 MAX）；生态插件 Cursor 多。看你怎么选。",{"q":51360,"a":51361},"支持哪些 IDE？","Trae 本身就是独立 IDE（VS Code fork），不是插件。如果你想保留 JetBrains \u002F VS Code 原版，看通义灵码 \u002F CodeBuddy。",[696,697],{},[51365,11718,5711,14282,39677,51366],"doubao-seed-1.8","kimi-k2",[51368,51369,51370],"需要极致 SOTA 模型（Cursor 的 MAX 模式 + Claude Sonnet 4.5 仍领先）","重度 JetBrains 用户","需要 Cursor MCP 生态深度集成的人（Trae MCP 生态仍在追）",[1349,1348,1350],[51373,51375,51378,51382],{"plan":50952,"price":12512,"limit":51374,"cn_pay":12512,"note":40468},"Doubao \u002F DeepSeek \u002F Kimi 等国产模型免费无限调用",{"plan":50965,"price":707,"limit":51376,"cn_pay":5724,"note":51377},"5000 次补全 + 1000 次高级模型 + 60 次超级模型\u002F月","海外免费档",{"plan":50978,"price":3637,"limit":51379,"cn_pay":51380,"note":51381},"无限补全 + 无限高级模型 + 600 次快速队列超级模型","支付宝可付","$10 起，超过 Cursor $20 一半",{"plan":50991,"price":50994,"limit":51383,"cn_pay":35952,"note":51384},"100 \u002F 300 \u002F 600 次快速队列问答（30 天有效）","Pro 用户加购","国内版免费 \u002F 国际版 Free \u002F Pro $10\u002F月",[51387,51388,51389,49123],"onboarding\u002Ftrae-getting-started","onboarding\u002Ftrae-builder-solo-guide","ai-coding\u002Ftrae-vs-cursor",[29890,34699,49126,49127,42708,49128],{"power":257,"ux":264,"price":264,"cn_support":264,"stability":257},{"title":46396,"description":51345},"Trae 评测 2026：字节 AI IDE，国内免费 Cursor 平替",[51395,51397,51399,51401],{"title":51396,"url":51297},"Trae 官网（国内版）",{"title":51398,"url":51304},"Trae 官网（国际版）",{"title":51400,"url":51311},"Trae IDE 国际版套餐与计费",{"title":51402,"url":51318},"火山引擎社区 Trae 更新公告","tools\u002Fcoding\u002Fide\u002Ftrae",[51405,51406,51407,51408],"国内开发者（不想折腾代理）","学生 \u002F 预算敏感人群","中文 prompt 重度用户","习惯 VS Code 但想试 AI IDE 的人","字节出品的 AI IDE，国内访问稳定 + 长期免费",[48538,11779,43202,14338,48571,51411,2153],"builder-mode","国内 Cursor 平替首选。免费 + 中文一流 + 不需要代理；天花板略低于 Cursor 但够用。海外用户可用国际版（功能略丰富，需付费）。","0A1Jmtlur-2EAQUnyQGysiCz0SBkX4yQYWBW5t6-Ywo",{"id":51415,"title":49767,"alternatives":51416,"api_compatible":16,"body":51418,"category":48538,"chinese_friendly":224,"cover":51777,"description":51778,"domestic":680,"extension":681,"faq":51779,"free":680,"github":16,"languages":51792,"lastVerified":16,"meta":51793,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":49894,"pillar":22297,"platforms":51794,"priceTable":51795,"pricing":51802,"published":720,"relatedPlaybooks":51803,"relatedReviews":16,"score":51804,"self_host":253,"seo":51805,"seoTitle":51806,"slug":49633,"sources":51807,"stem":51814,"suitable":16,"tagline":51815,"tags":51816,"updated":732,"verdict":51818,"website":51819,"__hash__":51820},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fvoid.md",[20457,51417,22941,22343],"coding\u002Fide\u002Fzed",{"type":18,"value":51419,"toc":51764},[51420,51422,51429,51432,51434,51465,51469,51472,51477,51480,51494,51496,51499,51503,51507,51524,51528,51545,51547,51564,51566,51661,51663,51695,51697,51717,51719,51739,51741],[21,51421,24],{"id":23},[26,51423,51424,51425,51428],{},"Void 是 YC 系开发者 Andrew & Mat Pareles 做的开源 AI 编辑器，定位『可以完全本地跑、代码不出本机的 Cursor』。Apache 2.0、VS Code 分支、BYOK 任意模型、文件系统级仓库索引、可查看 \u002F 编辑底层 prompt。",[42,51426,51427],{},"但 2025 年底官方在 README 宣布暂停 IDE 开发，目前不接受 issue \u002F PR","——评估前一定确认仓库当前状态。",[26,51430,51431],{},"适合：合规挡掉 Cursor 的隐私优先团队、能自己维护 fork 的开源团队、想拿现成 codebase 学 AI IDE 实现的开发者。不适合：要靠官方持续更新的团队、中文深度本地化需求、Cursor 同等功能完成度需求。",[21,51433,21844],{"id":21844},[36,51435,51436,51441,51447,51453,51459],{},[39,51437,51438,51440],{},[42,51439,50587],{},"：UI 几乎复刻 Cursor 体验（inline diff、chat with repo、文件 @）",[39,51442,51443,51446],{},[42,51444,51445],{},"完全本地化 prompt-building","：所有 prompt 组装在本地完成，不经第三方中转",[39,51448,51449,51452],{},[42,51450,51451],{},"BYOK 任意模型","：Anthropic \u002F OpenAI \u002F Google \u002F Ollama 本地模型",[39,51454,51455,51458],{},[42,51456,51457],{},"可查看 \u002F 编辑底层 prompt","：透明，能 debug 为什么 LLM 这么回",[39,51460,51461,51464],{},[42,51462,51463],{},"千行级 fast edit","：对 LLM 的修改指令做了优化，几千行文件秒级 apply",[21,51466,51468],{"id":51467},"现状2026-06硬重点","现状（2026-06，硬重点）",[26,51470,51471],{},"GitHub README 状态：",[130,51473,51474],{},[26,51475,51476],{},"\"We've paused work on the Void IDE to explore a few novel coding ideas… we might not resume Void as an IDE.\"",[26,51478,51479],{},"含义：",[36,51481,51482,51485,51488,51491],{},[39,51483,51484],{},"官方主仓不再 review issues \u002F PRs",[39,51486,51487],{},"现版本仍可下载、能跑、能 BYOK",[39,51489,51490],{},"社区 fork 在维护中（搜 voideditor + active fork）",[39,51492,51493],{},"Frontman 2026 报告把 Void 单独列为『IDE Fork 类、项目已暂停』",[21,51495,108],{"id":108},[26,51497,51498],{},"完全免费 + 你自己付模型 API。28.3k GitHub stars、Apache 2.0、终身免费可商用。",[21,51500,51502],{"id":51501},"实测在小型-nextjs-python-项目","实测（在小型 Next.js + Python 项目）",[26,51504,51505],{},[42,51506,143],{},[36,51508,51509,51512,51515,51518,51521],{},[39,51510,51511],{},"BYOK 接本地 Ollama + qwen2.5-coder，全离线编辑 + 重构，零数据出网",[39,51513,51514],{},"看底层 prompt 真的有用：debug 为什么 LLM 输出奇怪时能直接读 prompt",[39,51516,51517],{},"inline diff 体验和 Cursor 一致",[39,51519,51520],{},"千行文件 apply 没等",[39,51522,51523],{},"装好后第二天没有任何 telemetry 出网",[26,51525,51526],{},[42,51527,168],{},[36,51529,51530,51533,51536,51539,51542],{},[39,51531,51532],{},"仓库索引偶尔卡住，需要手动 reindex",[39,51534,51535],{},"没有 Cursor 的 Composer \u002F Agent 模式，多文件改靠 chat 引导",[39,51537,51538],{},"没有官方 sync settings，机器间配置要自己迁",[39,51540,51541],{},"中文 UI 缺，中文 prompt 输出偶尔混入英文",[39,51543,51544],{},"Bug 报上去无人 review；自己 fork 修是常态",[21,51546,936],{"id":936},[630,51548,51549,51552,51555,51558,51561],{},[39,51550,51551],{},"voideditor.com 下载（或从 GitHub fork 自己编译）",[39,51553,51554],{},"安装 → 导入 VS Code 设置",[39,51556,51557],{},"设置里填 Anthropic \u002F OpenAI Key（或本地 Ollama URL）",[39,51559,51560],{},"打开仓库，等待索引完成",[39,51562,51563],{},"cmd+L chat \u002F cmd+K inline edit，和 Cursor 操作一致",[21,51565,364],{"id":364},[366,51567,51568,51583],{},[369,51569,51570],{},[372,51571,51572,51574,51576,51578,51581],{},[375,51573,377],{},[375,51575,49767],{},[375,51577,1058],{},[375,51579,51580],{},"Zed",[375,51582,22688],{},[390,51584,51585,51597,51611,51623,51635,51649],{},[372,51586,51587,51589,51591,51593,51595],{},[395,51588,414],{},[395,51590,2390],{},[395,51592,420],{},[395,51594,2390],{},[395,51596,2390],{},[372,51598,51599,51601,51604,51606,51609],{},[395,51600,2367],{},[395,51602,51603],{},"VS Code 分支 IDE",[395,51605,51603],{},[395,51607,51608],{},"原生 IDE",[395,51610,22709],{},[372,51612,51613,51615,51617,51619,51621],{},[395,51614,22729],{},[395,51616,1829],{},[395,51618,12080],{},[395,51620,1100],{},[395,51622,1100],{},[372,51624,51625,51627,51629,51631,51633],{},[395,51626,2425],{},[395,51628,2428],{},[395,51630,440],{},[395,51632,1100],{},[395,51634,1100],{},[372,51636,51637,51640,51643,51645,51647],{},[395,51638,51639],{},"官方维护",[395,51641,51642],{},"⛔ 已暂停",[395,51644,25861],{},[395,51646,25861],{},[395,51648,25861],{},[372,51650,51651,51653,51655,51657,51659],{},[395,51652,46181],{},[395,51654,35723],{},[395,51656,1100],{},[395,51658,440],{},[395,51660,1100],{},[21,51662,521],{"id":521},[36,51664,51665,51671,51677,51683,51689],{},[39,51666,51667,51670],{},[42,51668,51669],{},"决策前必查 GitHub 主仓状态","：README 顶部如仍写 paused，谨慎 onboard 团队",[39,51672,51673,51676],{},[42,51674,51675],{},"关键 bug 自己 fork 修","：官方不会响应；评估前先看你的 stack 是否能自维护",[39,51678,51679,51682],{},[42,51680,51681],{},"隐私不是『默认 100% 离线』","：BYOK 接 Anthropic 时数据仍发到 Anthropic，要完全离线得配 Ollama \u002F 本地模型",[39,51684,51685,51688],{},[42,51686,51687],{},"不要把它当 Cursor 等价物推全公司","：功能完成度差一档，Composer \u002F Agent 缺失",[39,51690,51691,51694],{},[42,51692,51693],{},"替代评估","：合规挡 Cursor 但要官方维护，看 Continue 或 Zed BYOK",[21,51696,575],{"id":574},[36,51698,51699,51702,51705,51708,51711,51714],{},[39,51700,51701],{},"✅ 合规 \u002F 法律挡掉 Cursor 的隐私优先团队",[39,51703,51704],{},"✅ 能自维护 fork 的资深 OSS 团队",[39,51706,51707],{},"✅ 想离线 \u002F 自托管 + 用本地 Ollama 跑模型",[39,51709,51710],{},"❌ 想靠官方持续迭代",[39,51712,51713],{},"❌ 需要 Composer \u002F 多文件 Agent 完整体验",[39,51715,51716],{},"❌ 中文深度本地化用户",[21,51718,604],{"id":604},[36,51720,51721,51725,51729,51735],{},[39,51722,51723],{},[610,51724,21100],{"href":21099},[39,51726,51727],{},[610,51728,40977],{"href":22918},[39,51730,51731],{},[610,51732,51734],{"href":51733},"\u002Ftools\u002Fcoding\u002Fide\u002Fzed","Zed 评测",[39,51736,51737],{},[610,51738,22242],{"href":22241},[21,51740,628],{"id":628},[630,51742,51743,51750,51757],{},[39,51744,51745,51746],{},"Y Combinator — Void Launch（创办背景）",[610,51747,51748],{"href":51748,"rel":51749},"https:\u002F\u002Fwww.ycombinator.com\u002Flaunches\u002FLrh-void-the-open-source-cursor-alternative",[639],[39,51751,51752,51753],{},"Frontman — Best OSS AI Coding Tools 2026（含 Void 暂停状态确认）",[610,51754,51755],{"href":51755,"rel":51756},"https:\u002F\u002Ffrontman.sh\u002Fblog\u002Fbest-open-source-ai-coding-tools-2026",[639],[39,51758,51759,51760],{},"OpenAlternative — Cursor 开源替代 14 选 1（2026-06-22）",[610,51761,51762],{"href":51762,"rel":51763},"https:\u002F\u002Fopenalternative.co\u002Falternatives\u002Fcursor",[639],{"title":202,"searchDepth":250,"depth":250,"links":51765},[51766,51767,51768,51769,51770,51771,51772,51773,51774,51775,51776],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":51467,"depth":224,"text":51468},{"id":108,"depth":224,"text":108},{"id":51501,"depth":224,"text":51502},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fvoid.webp","Void 真实评测：YC 出身、Apache 2.0 开源的 VS Code 分支 AI IDE，对标 Cursor。BYOK 任意模型、可完全本地化。重要状态：2025 年底官方在 README 宣布暂停 IDE 开发去探索新方向，目前不接受 issue \u002F PR——评估前必须看仓库现状。",[51780,51783,51786,51789],{"q":51781,"a":51782},"Void 真的没人维护了吗？","官方 README 原文：『We've paused work on the Void IDE to explore a few novel coding ideas… we might not resume Void as an IDE』；并且不再 review issues \u002F PRs。社区 fork 仍在，但官方主仓暂停。",{"q":51784,"a":51785},"为什么仍值得评估？","Apache 2.0 全开源 + 28.3k stars 的体量本身就是资产。已有版本能跑、能 BYOK、能完全本地化运行，对法律 \u002F 合规挡掉 Cursor 的团队仍是少有的开箱方案。",{"q":51787,"a":51788},"和 Continue \u002F Cline 比？","Void 是 IDE 形态（完整 VS Code 分支），Continue \u002F Cline 是 VS Code 扩展。如果你能接受继续用 VS Code，Continue \u002F Cline 维护活跃得多。",{"q":51790,"a":51791},"中文怎么样？","界面以英文为主，中文 prompt 可用但本地化欠缺。对中文用户友好度不如 Trae \u002F 通义灵码 \u002F Qoder。",[697],{},[1349,1348,1350],[51796,51798],{"plan":27339,"price":12512,"license":1899,"notes":51797},"GitHub 28.3k stars；2025-末官方暂停开发",{"plan":22729,"price":51799,"models":51800,"notes":51801},"你的 API 账单","Claude\u002FGPT\u002FGemini\u002FOllama 等","Key 本地存，prompt 在本地组装","完全免费 + 自带模型 Key",[28001,32568],{"power":250,"ux":250,"price":264,"cn_support":224,"stability":224},{"title":49767,"description":51778},"Void AI IDE 评测 2026：开源 Cursor 替代，本地代码补全",[51808,51810,51812],{"name":51809,"url":51748,"accessed":732},"YC Launch — Void OSS Cursor Alternative",{"name":51811,"url":51755,"accessed":732},"Frontman — Best OSS AI Coding 2026",{"name":51813,"url":51762,"accessed":732},"OpenAlternative — Cursor Alternatives","tools\u002Fcoding\u002Fide\u002Fvoid","完全开源的 Cursor 替代品（YC 系）——但 2025 年底暂停了 IDE 开发",[48538,40501,22956,3924,50352,51817],"paused","理念优秀（开源 + BYOK + 隐私），但 2025 年底官方暂停 IDE 开发是硬伤；可以拿现版本自己魔改 \u002F 自托管，别期待官方持续更新。隐私 \u002F 合规优先且能自维护的团队仍值得关注。","https:\u002F\u002Fvoideditor.com","mEFVYFQcgFq1cv0ryAxbGTasIubrE8JayzetajaoUZI",{"id":51822,"title":51823,"alternatives":51824,"api_compatible":16,"body":51825,"category":48538,"chinese_friendly":250,"cover":52568,"description":52569,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":52570,"lastVerified":16,"meta":52571,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":52572,"pillar":22297,"platforms":52573,"priceTable":52574,"pricing":52585,"published":6699,"relatedPlaybooks":16,"relatedReviews":52586,"score":52587,"self_host":680,"seo":52588,"seoTitle":52589,"slug":45458,"sources":52590,"stem":52607,"suitable":16,"tagline":52608,"tags":52609,"updated":22952,"verdict":52612,"website":23466,"__hash__":52613},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fwindsurf.md","Windsurf（已更名 Devin Desktop）",[20457,46594,51417,22343],{"type":18,"value":51826,"toc":52551},[51827,51829,51867,51872,51874,51878,51893,51899,51912,51920,51934,51942,51962,51966,51975,51979,51982,51985,52005,52009,52016,52080,52085,52096,52104,52106,52140,52143,52164,52166,52194,52196,52330,52335,52349,52354,52378,52380,52442,52444,52446,52466,52468,52483,52485,52526,52528,52545,52549],[21,51828,24],{"id":23},[5783,51830,51832,51862],{"className":51831},[5786,5787,5788],[26,51833,51834,51837,51838,51841,51842,51845,51846,51849,51850,51853,51854,51857,51858,51861],{},[42,51835,51836],{},"⚠️ 重大变更（2026-06\u002F07）："," Windsurf 已于 ",[42,51839,51840],{},"2026-06-02 更名为 Devin Desktop","（OTA 自动更新），并入 Cognition 的统一 Devin 品牌矩阵（Cloud \u002F Desktop \u002F CLI \u002F Review）。招牌 Agent ",[42,51843,51844],{},"Cascade 已于 2026-07-01 EOL","，由 Rust 重写的 ",[42,51847,51848],{},"Devin Local"," 取代——token 效率 +30%、支持子 Agent、Fast Context 用 SWE-grep 检索快约 20x、沙盒化执行，并支持 ",[42,51851,51852],{},"ACP","（Zed 的 Agent Client Protocol，可跑 Codex \u002F Claude Agent \u002F OpenCode + Devin Local）。",[204,51855,51856],{},"surf"," 命令改为 ",[204,51859,51860],{},"devin-desktop","，定价不变，完整 IDE 能力保留。",[26,51863,51864,51866],{},[42,51865,5793],{}," 原 Windsurf 是 VS Code fork 基底的 AI-first IDE，免费档比 Cursor 大方、补全（Supercomplete）体感快；如今它是 Devin 生态的桌面入口，Agent Command Center（Spaces、Kanban）成主界面。Windsurf 的 JetBrains 插件保留原名。",[130,51868,51869],{},[26,51870,51871],{},"来源说明：本文基于 devin.ai \u002F windsurf.com 官方页面与更名 FAQ、docs.devin.ai 文档、多份独立评测（vibecoding.app \u002F eesel.ai \u002F openaitoolshub \u002F pecollective.com）综合整理。Cognition 的品牌 \u002F 产品结构变动较快，请以最新官方信息为准。",[21,51873,5893],{"id":5893},[5062,51875,51877],{"id":51876},"devin-local接棒-cascade与原-cascade-引擎","Devin Local（接棒 Cascade）与原 Cascade 引擎",[130,51879,51880],{},[26,51881,51882,51885,51886,51889,51890,51892],{},[42,51883,51884],{},"注意","：下文描述的 Cascade 已于 ",[42,51887,51888],{},"2026-07-01 EOL","，由 ",[42,51891,51848],{}," 取代。Devin Local 用 Rust 重写，token 效率 +30%、支持子 Agent、Fast Context 检索快约 20x（SWE-grep）、沙盒化执行，并支持 ACP 跨 Agent 协议（同界面可切 Codex \u002F Claude Agent \u002F OpenCode）。以下 Cascade 的能力描述保留作为演进参照，多数已被 Devin Local 对齐或增强。",[26,51894,51895,51896,51898],{},"Cascade 曾是 Windsurf 对标 ",[610,51897,1058],{"href":5867}," Composer 的多步骤 Agent。两种模式：",[36,51900,51901,51907],{},[39,51902,51903,51906],{},[42,51904,51905],{},"Write 模式","：让 Cascade 实际改代码，多文件编辑",[39,51908,51909,51911],{},[42,51910,46671],{},"：只问答，不动文件（适合代码理解）",[26,51913,51914,51919],{},[610,51915,51918],{"href":51916,"rel":51917},"https:\u002F\u002Fdocs.devin.ai\u002Fwindsurf\u002Fplugins\u002Fcascade\u002Fcascade-overview",[639],"官方 Cascade 文档"," 公开的能力：",[36,51921,51922,51925,51928,51931],{},[39,51923,51924],{},"每次 prompt 最多 25 次工具调用，超过 type \"continue\" 继续",[39,51926,51927],{},"内置工具：Search、Analyze、Web Search、Terminal、Voice Input",[39,51929,51930],{},"自动探测项目用的包管理器并装依赖",[39,51932,51933],{},"队列消息：Cascade 跑的时候你可以排队下一个指令",[26,51935,51936,51941],{},[610,51937,51940],{"href":51938,"rel":51939},"https:\u002F\u002Fwww.eesel.ai\u002Fblog\u002Fwindsurf-overview",[639],"eesel AI 2026 评测"," 实测描述的 Cascade 特点：",[36,51943,51944,51950,51956],{},[39,51945,51946,51949],{},[42,51947,51948],{},"多文件编辑","：rename 一个函数，跨整个项目同步更新调用点",[39,51951,51952,51955],{},[42,51953,51954],{},"终端集成","：跑命令、读输出、看到 error 自动尝试修复",[39,51957,51958,51961],{},[42,51959,51960],{},"迭代调试","：测试失败时不放弃，换个方法再试，循环到通过",[5062,51963,51965],{"id":51964},"supercomplete补全速度优势","Supercomplete：补全速度优势",[26,51967,51968,51969,51974],{},"Windsurf 自研补全模型，跑在自家推理基础设施上，",[610,51970,51973],{"href":51971,"rel":51972},"https:\u002F\u002Fpecollective.com\u002Ftools\u002Fwindsurf",[639],"PE Collective 评测"," 描述：\"没有云端补全那种卡顿，suggestions 几乎瞬间出现\"。能预测下一行甚至连续几行（特别是 API route \u002F 测试用例这类重复模式）。",[5062,51976,51978],{"id":51977},"flows上下文聊天","Flows：上下文聊天",[26,51980,51981],{},"Cascade 的对话界面，跨会话保留上下文。问完一个函数，追问它的测试，Flows 能记住前一轮在讨论什么。索引整个 codebase + 当前打开文件 + 最近编辑。",[5062,51983,51984],{"id":51984},"其他",[36,51986,51987,51993,51999],{},[39,51988,51989,51992],{},[42,51990,51991],{},"Terminal AI","：用自然语言生成 shell 命令（\"重启 docker 并清缓存\"）",[39,51994,51995,51998],{},[42,51996,51997],{},"Voice input","：Cmd\u002FCtrl+L 打开 Cascade，可以语音输入",[39,52000,52001,52004],{},[42,52002,52003],{},"VS Code 扩展兼容","：因为是 VS Code fork，95%+ 的扩展可以直接装",[21,52006,52008],{"id":52007},"价格与运行成本2026-切到-credit-制","价格与运行成本（2026 切到 credit 制）",[26,52010,52011,52015],{},[610,52012,52014],{"href":51971,"rel":52013},[639],"PE Collective 2026-04 评测"," 描述的 credit 系统：",[366,52017,52018,52030],{},[369,52019,52020],{},[372,52021,52022,52024,52026,52028],{},[375,52023,12497],{},[375,52025,108],{},[375,52027,21892],{},[375,52029,32775],{},[390,52031,52032,52044,52056,52069],{},[372,52033,52034,52036,52038,52041],{},[395,52035,843],{},[395,52037,707],{},[395,52039,52040],{},"25 credits\u002F月",[395,52042,52043],{},"比 Cursor Free 体感更可用",[372,52045,52046,52048,52050,52053],{},[395,52047,849],{},[395,52049,51108],{},[395,52051,52052],{},"500 credits\u002F月",[395,52054,52055],{},"比 Cursor Pro 便宜 $5",[372,52057,52058,52060,52063,52066],{},[395,52059,867],{},[395,52061,52062],{},"$30\u002Fseat\u002F月",[395,52064,52065],{},"更多 credits + SSO + 中央账单",[395,52067,52068],{},"中小团队",[372,52070,52071,52073,52075,52077],{},[395,52072,833],{},[395,52074,10045],{},[395,52076,13826],{},[395,52078,52079],{},"大企业 \u002F 合规",[26,52081,52082,5072],{},[42,52083,52084],{},"Credit 消耗规则（社区共识，非官方明示）",[36,52086,52087,52090,52093],{},[39,52088,52089],{},"Cascade 一次 Write 调用 = 1+ credits（依赖模型 + 工具调用数）",[39,52091,52092],{},"用 GPT-4 \u002F Claude Opus 等 premium 模型 = credit 倍数高",[39,52094,52095],{},"自带补全（Supercomplete）= 不算 credits",[26,52097,52098,52103],{},[610,52099,52102],{"href":52100,"rel":52101},"https:\u002F\u002Fwww.openaitoolshub.org\u002Fen\u002Fblog\u002Fwindsurf-editor-review",[639],"openaitoolshub 评测"," 真实使用感受：Pro $15 + 500 credits 对中度用户够用一个月；写得猛的话第二周就空，要加买 credit pack。",[21,52105,6151],{"id":6150},[197,52107,52109],{"className":199,"code":52108,"language":201,"meta":202,"style":202},"# macOS\nbrew install --cask windsurf\n\n# Windows \u002F Linux\n# 去 https:\u002F\u002Fwindsurf.com 下载安装包\n",[204,52110,52111,52115,52126,52130,52135],{"__ignoreMap":202},[207,52112,52113],{"class":209,"line":210},[207,52114,1576],{"class":260},[207,52116,52117,52119,52121,52123],{"class":209,"line":224},[207,52118,1581],{"class":213},[207,52120,241],{"class":217},[207,52122,34138],{"class":227},[207,52124,52125],{"class":217}," windsurf\n",[207,52127,52128],{"class":209,"line":250},[207,52129,254],{"emptyLinePlaceholder":253},[207,52131,52132],{"class":209,"line":257},[207,52133,52134],{"class":260},"# Windows \u002F Linux\n",[207,52136,52137],{"class":209,"line":264},[207,52138,52139],{"class":260},"# 去 https:\u002F\u002Fwindsurf.com 下载安装包\n",[26,52141,52142],{},"打开后：",[630,52144,52145,52148,52151,52158,52161],{},[39,52146,52147],{},"用 GitHub \u002F Google 账号登录（国内可能需要代理过验证）",[39,52149,52150],{},"选择主题（VS Code 用户零迁移成本）",[39,52152,52153,52154,52157],{},"打开项目目录 → ",[204,52155,52156],{},"Cmd\u002FCtrl+L"," 调出 Cascade",[39,52159,52160],{},"输入第一个 prompt，比如\"读完整个项目结构后告诉我这是什么项目\"",[39,52162,52163],{},"等 Cascade 索引完（几十秒到几分钟，看项目大小）",[21,52165,6197],{"id":6197},[630,52167,52168,52174,52179,52184],{},[39,52169,52170,52173],{},[42,52171,52172],{},"账号注册","：需要海外邮箱 + 偶发要海外手机；国内邮箱（QQ \u002F 163）有时被拒",[39,52175,52176,52178],{},[42,52177,34256],{},"：模型推理在境外，没代理时 Cascade 会卡顿到不可用",[39,52180,52181,52183],{},[42,52182,11197],{},"：Pro 订阅只收海外卡，第三方代付方案少（不像 Cursor 有成熟代理）",[39,52185,52186,5072,52188,52190,52191,52193],{},[42,52187,6226],{},[610,52189,46396],{"href":46395},"（字节 IDE，国内访问无门槛）或 ",[610,52192,1058],{"href":5867},"（生态更成熟）",[21,52195,6239],{"id":6239},[366,52197,52198,52219],{},[369,52199,52200],{},[372,52201,52202,52204,52206,52210,52214],{},[375,52203,377],{},[375,52205,33017],{},[375,52207,52208],{},[610,52209,1058],{"href":5867},[375,52211,52212],{},[610,52213,46396],{"href":46395},[375,52215,52216],{},[610,52217,51580],{"href":52218},"\u002Fcoding\u002Fide\u002Fzed.html",[390,52220,52221,52237,52250,52264,52278,52290,52303,52315],{},[372,52222,52223,52225,52228,52231,52234],{},[395,52224,46181],{},[395,52226,52227],{},"Cascade（激进）",[395,52229,52230],{},"Composer（保守）",[395,52232,52233],{},"类 Composer",[395,52235,52236],{},"ACP 协议接入",[372,52238,52239,52241,52244,52246,52248],{},[395,52240,46168],{},[395,52242,52243],{},"★★★★★ 自研模型",[395,52245,5579],{},[395,52247,5579],{},[395,52249,5579],{},[372,52251,52252,52254,52257,52259,52262],{},[395,52253,48317],{},[395,52255,52256],{},"★★★★☆ 25 credits",[395,52258,5585],{},[395,52260,52261],{},"★★★★★ 中国无限制",[395,52263,5579],{},[372,52265,52266,52269,52271,52273,52276],{},[395,52267,52268],{},"Pro 价格",[395,52270,51108],{},[395,52272,1155],{},[395,52274,52275],{},"国内免费",[395,52277,1155],{},[372,52279,52280,52282,52284,52286,52288],{},[395,52281,40175],{},[395,52283,5585],{},[395,52285,5585],{},[395,52287,6315],{},[395,52289,5585],{},[372,52291,52292,52295,52297,52299,52301],{},[395,52293,52294],{},"多文件改动激进度",[395,52296,6315],{},[395,52298,5579],{},[395,52300,5579],{},[395,52302,5585],{},[372,52304,52305,52307,52309,52311,52313],{},[395,52306,2455],{},[395,52308,5579],{},[395,52310,6315],{},[395,52312,5579],{},[395,52314,5579],{},[372,52316,52317,52320,52323,52325,52327],{},[395,52318,52319],{},"生态（VS Code 扩展）",[395,52321,52322],{},"★★★★★ fork",[395,52324,52322],{},[395,52326,52322],{},[395,52328,52329],{},"★★★☆☆ 自家",[26,52331,52332,5072],{},[42,52333,52334],{},"选 Windsurf 如果你",[36,52336,52337,52340,52343,52346],{},[39,52338,52339],{},"看重补全速度 + 多文件 Agent 的激进度",[39,52341,52342],{},"海外开发者 \u002F 已经能搞定支付和网络",[39,52344,52345],{},"免费档已经够用、不想付费",[39,52347,52348],{},"跑 Cursor 卡顿，想换个推理基础设施",[26,52350,52351,5072],{},[42,52352,52353],{},"别选 Windsurf 如果你",[36,52355,52356,52360,52366,52373],{},[39,52357,48375,52358,2337],{},[610,52359,46396],{"href":46395},[39,52361,52362,52363,52365],{},"重度使用 + 预算敏感（credit 制不划算，",[610,52364,1058],{"href":5867}," 月费固定）",[39,52367,52368,52369,6035,52371,2337],{},"终端原生使用者（",[610,52370,1790],{"href":13587},[610,52372,1793],{"href":22383},[39,52374,52375,52376,2337],{},"完全开源洁癖（",[610,52377,22341],{"href":44804},[21,52379,6457],{"id":6457},[36,52381,52382,52388,52398,52408,52418,52430,52436],{},[39,52383,52384,52387],{},[42,52385,52386],{},"Credit 制下重度使用要算账","：500 credits 看着多，复杂 refactor 一次性吃掉 10-20 credits，月底空了得加 credit pack",[39,52389,52390,52393,52394,52397],{},[42,52391,52392],{},"Cascade 比 Composer 更敢动手","：写得激进的同时",[42,52395,52396],{},"犯错也更多","，commit 频率要拉高，方便回滚",[39,52399,52400,52403,52404,52407],{},[42,52401,52402],{},"多窗口隔离","：根据 ",[610,52405,52102],{"href":52100,"rel":52406},[639]," 实测，Cascade context 是按窗口隔离的——前后端在两个项目时跨项目协作有缺陷，需开 multi-root workspace",[39,52409,52410,5072,52413,52417],{},[42,52411,52412],{},"Cascade 写文件失败的\"flaky\"",[610,52414,52416],{"href":51938,"rel":52415},[639],"dev.to 用户反馈"," 引用的常见问题，Cascade 偶发 \"cascade errors when trying to write files\"，重试或换模型可解",[39,52419,52420,52423,52424,52426,52427,52429],{},[42,52421,52422],{},"更名已落地，注意迁移","：Windsurf 已于 2026-06-02 更名 Devin Desktop，Cascade 于 07-01 EOL。老用户 OTA 自动更新，无需重装；但脚本里的 ",[204,52425,51856],{}," 命令要改为 ",[204,52428,51860],{},"，依赖 Cascade 的工作流需迁移到 Devin Local（功能对齐，部分交互不同），建议先在小项目验证再全面迁移",[39,52431,52432,52435],{},[42,52433,52434],{},"Rust \u002F Go 项目 LSP 不够全","：Cascade 的内嵌 LSP 比\"VS Code + Rust Analyzer 扩展\"功能少一些",[39,52437,52438,52441],{},[42,52439,52440],{},"VS Code 扩展库兼容性","：95%+ 兼容，但极少数靠 VS Code 私有 API 的扩展（如某些远程开发插件）会有问题",[21,52443,575],{"id":574},[26,52445,6528],{},[36,52447,52448,52454,52457,52460,52463],{},[39,52449,52450,52451,52453],{},"想用比 ",[610,52452,1058],{"href":5867}," 更激进的 Agent 模式",[39,52455,52456],{},"重视补全的瞬时响应",[39,52458,52459],{},"海外开发者 \u002F 能稳定上代理",[39,52461,52462],{},"VS Code 用户想\"原地升级\"",[39,52464,52465],{},"团队规模中小（5-20 人），SSO 需求",[26,52467,6548],{},[36,52469,52470,52474,52478,52481],{},[39,52471,48461,52472,6445],{},[610,52473,46396],{"href":46395},[39,52475,48466,52476,2337],{},[610,52477,1790],{"href":13587},[39,52479,52480],{},"需要私有部署 \u002F 数据不出网",[39,52482,46415],{},[21,52484,604],{"id":604},[36,52486,52487,52497,52509,52517],{},[39,52488,48987,52489,6035,52493],{},[610,52490,52492],{"href":52491},"\u002Fnews\u002F2026\u002Fwindsurf-devin-desktop.html","Windsurf 更名 Devin Desktop，Cascade 退役",[610,52494,52496],{"href":52495},"\u002Fnews\u002F2026\u002Fwindsurf-acquisition.html","Windsurf 被 Cognition 收购始末",[39,52498,6576,52499,6035,52501,6035,52503,6035,52505,6035,52507],{},[610,52500,1058],{"href":5867},[610,52502,46396],{"href":46395},[610,52504,51580],{"href":52218},[610,52506,1790],{"href":13587},[610,52508,34462],{"href":34461},[39,52510,6587,52511,6035,52513,6035,52515],{},[610,52512,6591],{"href":6590},[610,52514,34604],{"href":34603},[610,52516,11638],{"href":11637},[39,52518,6598,52519,6035,52521,6035,52523],{},[610,52520,35301],{"href":35300},[610,52522,33566],{"href":33565},[610,52524,44166],{"href":52525},"\u002Fmodels\u002Fdeepseek-v4.html",[21,52527,628],{"id":628},[36,52529,52530,52536,52542],{},[39,52531,6628,52532],{},[610,52533,52534],{"href":52534,"rel":52535},"https:\u002F\u002Fwindsurf.com",[639],[39,52537,52538,52539],{},"Cascade 文档：",[610,52540,51916],{"href":51916,"rel":52541},[639],[39,52543,52544],{},"第三方评测：vibecoding.app \u002F eesel.ai \u002F openaitoolshub.org \u002F pecollective.com",[26,52546,14253,52547,6648],{},[610,52548,6647],{"href":6646},[662,52550,14258],{},{"title":202,"searchDepth":250,"depth":250,"links":52552},[52553,52554,52560,52561,52562,52563,52564,52565,52566,52567],{"id":23,"depth":224,"text":24},{"id":5893,"depth":224,"text":5893,"children":52555},[52556,52557,52558,52559],{"id":51876,"depth":250,"text":51877},{"id":51964,"depth":250,"text":51965},{"id":51977,"depth":250,"text":51978},{"id":51984,"depth":250,"text":51984},{"id":52007,"depth":224,"text":52008},{"id":6150,"depth":224,"text":6151},{"id":6197,"depth":224,"text":6197},{"id":6239,"depth":224,"text":6239},{"id":6457,"depth":224,"text":6457},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fwindsurf.webp","Windsurf \u002F Devin Desktop 真实评测：Cognition 于 2026-06-02 将 Windsurf 更名 Devin Desktop，招牌 Agent Cascade 已于 07-01 EOL，由 Rust 重写的 Devin Local 取代（token 效率 +30%，支持 ACP 跨 Agent 协议）。AIHO 编辑部基于官方文档与多份独立评测整理，含最新变化、定价、与 Cursor 对比、避坑指南。",[696,697],{},"\u002Ftools\u002Fcoding\u002Fide\u002Fwindsurf",[1349,1348,1350],[52575,52578,52581,52583],{"plan":843,"price":707,"limit":52576,"cn_pay":5724,"note":52577},"25 credits\u002F月，Cascade 基础访问","比 Cursor Free 体感强",{"plan":849,"price":51108,"limit":52579,"cn_pay":5730,"note":52580},"500 credits\u002F月，多模型","比 Cursor 便宜 $5",{"plan":867,"price":52062,"limit":52582,"cn_pay":6363,"note":52068},"更高 credit + SSO",{"plan":833,"price":10045,"limit":52584,"cn_pay":5724,"note":31096},"VPC \u002F 审计 \u002F SOC2","Free 25 credits \u002F Pro $15\u002Fmo 500 credits \u002F Team $30\u002Fseat",[34699,49126,42708,49128],{"power":264,"ux":264,"price":257,"cn_support":250,"stability":257},{"title":51823,"description":52569},"Windsurf 评测 2026：Codeium 出品 AI IDE，现已更名 Devin Desktop",[52591,52593,52595,52598,52600,52602,52604],{"title":52592,"url":52534},"Windsurf 官方",{"title":52594,"url":51916},"Cascade 官方文档",{"title":52596,"url":52597},"Windsurf Review 2026 (vibecoding.app)","https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fwindsurf-review",{"title":52599,"url":51938},"Windsurf 评测 - eesel AI",{"title":52601,"url":52100},"Windsurf Honest Assessment",{"title":52603,"url":51971},"PE Collective 2026 Review",{"title":52605,"url":52606},"Windsurf → Devin Desktop 更名 FAQ","https:\u002F\u002Fdevin.ai\u002F","tools\u002Fcoding\u002Fide\u002Fwindsurf","原 Windsurf，2026-06 更名 Devin Desktop，Cascade 退役、Devin Local 接棒",[48538,700,52610,48571,52611],"cascade","codeium","已并入 Devin 生态。原 Cascade 已退役，接棒的 Devin Local（Rust 重写）更快更省且支持 ACP 跨 Agent；仍是免费档大方的 AI IDE，但需重新适应新品牌与新 Agent。","lTxcSUUXBS9f8bHaRd5GbtO_1Yr95yStwzuK72ex4jg",{"id":52615,"title":51580,"alternatives":52616,"api_compatible":16,"body":52617,"category":48538,"chinese_friendly":250,"cover":53028,"description":53029,"domestic":680,"extension":681,"faq":53030,"free":680,"github":16,"languages":53043,"lastVerified":16,"meta":53044,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":51733,"pillar":22297,"platforms":53045,"priceTable":53046,"pricing":53057,"published":720,"relatedPlaybooks":53058,"relatedReviews":16,"score":53059,"self_host":680,"seo":53060,"seoTitle":53061,"slug":51417,"sources":53062,"stem":53069,"suitable":16,"tagline":53070,"tags":53071,"updated":732,"verdict":53075,"website":53076,"__hash__":53077},"tools\u002Ftools\u002Fcoding\u002Fide\u002Fzed.md",[20457,45458,49633,1403],{"type":18,"value":52618,"toc":53016},[52619,52621,52624,52627,52629,52632,52658,52662,52728,52731,52735,52739,52756,52760,52777,52779,52803,52805,52911,52913,52945,52947,52970,52972,52991,52993],[21,52620,24],{"id":23},[26,52622,52623],{},"Zed 是原 Atom \u002F Tree-sitter 团队用 Rust 重写的代码编辑器，自研 GPUI 渲染引擎。启动 \u003C 100ms、1 万行文件丝滑滚动、Apache 2.0 开源。2026-05 重构定价：Pro 从 $20 砍到 $10、新增 Business $30\u002F席。同期发布开源编辑预测模型 Zeta2.1（3× token 效率、p50 136ms）。Windows 在 2026-Q1 稳定后三平台齐全。",[26,52625,52626],{},"适合：性能党、Rust 用户、需要原生多人协同、想用多 agent（Claude Code \u002F Codex CLI）共存的开发者。不适合：重度依赖 VS Code 闭源插件、需要中文界面深度本地化的团队。",[21,52628,21844],{"id":21844},[26,52630,52631],{},"一个原生编辑器干三件事：",[36,52633,52634,52640,52646,52652],{},[39,52635,52636,52639],{},[42,52637,52638],{},"代码编辑","：Rust + GPUI 自研渲染，Tree-sitter 60+ 语言语法",[39,52641,52642,52645],{},[42,52643,52644],{},"AI 助手面板","：Zeta2.1 编辑预测 + 多模型 chat（Claude\u002FGPT\u002FGemini\u002FGrok\u002FOllama）",[39,52647,52648,52651],{},[42,52649,52650],{},"实时多人协同","：共享 buffer、cursor presence、语音频道——一等公民，不是插件",[39,52653,52654,52657],{},[42,52655,52656],{},"ACP 协议","：Claude Code \u002F Codex CLI \u002F Gemini CLI \u002F OpenCode 都能嵌进来当 agent",[21,52659,52661],{"id":52660},"价格2026-062026-05-06-改版","价格（2026-06，2026-05-06 改版）",[366,52663,52664,52677],{},[369,52665,52666],{},[372,52667,52668,52670,52672,52674],{},[375,52669,21887],{},[375,52671,108],{},[375,52673,43701],{},[375,52675,52676],{},"谁该买",[390,52678,52679,52691,52703,52715],{},[372,52680,52681,52683,52685,52688],{},[395,52682,843],{},[395,52684,707],{},[395,52686,52687],{},"2,000 次编辑预测 + 无限 BYOK",[395,52689,52690],{},"试 \u002F 自带 Key 用户",[372,52692,52693,52695,52697,52700],{},[395,52694,849],{},[395,52696,3637],{},[395,52698,52699],{},"无限编辑预测 + $5 hosted AI 额度",[395,52701,52702],{},"主力用户",[372,52704,52705,52707,52709,52712],{},[395,52706,30638],{},[395,52708,32231],{},[395,52710,52711],{},"组织 AI 策略 + BYOK 全免费 + 训练默认关",[395,52713,52714],{},"企业 \u002F 合规",[372,52716,52717,52720,52722,52725],{},[395,52718,52719],{},"Student",[395,52721,707],{},[395,52723,52724],{},"Pro 同等",[395,52726,52727],{},"学生",[26,52729,52730],{},"超额：hosted AI 按 API 价 +10%。BYOK 在 Business 档对 Anthropic \u002F OpenAI \u002F Google \u002F AWS 全部免费。",[21,52732,52734],{"id":52733},"实测中型-rust-ts-项目","实测（中型 Rust + TS 项目）",[26,52736,52737],{},[42,52738,143],{},[36,52740,52741,52744,52747,52750,52753],{},[39,52742,52743],{},"启动 \u003C 100ms，比 VS Code \u002F Cursor 体感快一个量级",[39,52745,52746],{},"Zeta2.1 编辑预测准确度比补全更贴近真实意图——预测的是『下一个改哪里』而不是『下一个 token』",[39,52748,52749],{},"多人协同顺滑：和远端同事 pair 改一个 PR，不用屏幕共享",[39,52751,52752],{},"ACP 把 Claude Code agent 嵌进侧栏，一边编辑一边让 agent 跑长任务",[39,52754,52755],{},"BYOK 接自己的 Anthropic Key 后，几乎『编辑器免费 + 模型自付』完美组合",[26,52757,52758],{},[42,52759,168],{},[36,52761,52762,52765,52768,52771,52774],{},[39,52763,52764],{},"VS Code 插件生态不能完全迁移，需要找 Open VSX 替代或没替代",[39,52766,52767],{},"中文 UI 部分翻译，但官方主要语种是英文",[39,52769,52770],{},"Pro $5 hosted 额度跑 Sonnet 容易超，要么 BYOK 要么订 Business",[39,52772,52773],{},"Windows 稳定但仍有少量原生差异（菜单快捷键）",[39,52775,52776],{},"复杂 LSP 配置不如 VS Code 文档丰富",[21,52778,936],{"id":936},[630,52780,52781,52784,52787,52790,52793,52796],{},[39,52782,52783],{},"zed.dev 下载（macOS \u002F Linux \u002F Windows）",[39,52785,52786],{},"首启动自动开 Free + 2,000 次预测",[39,52788,52789],{},"设置里加 Anthropic \u002F OpenAI Key（BYOK）",[39,52791,52792],{},"试 Edit Prediction：写一行，看光标右侧的灰字预测",[39,52794,52795],{},"多人：Share Project，邀同事 join",[39,52797,52798,52799,52802],{},"Agent：装 Claude Code，在 Zed 里 ",[204,52800,52801],{},"cmd+shift+a"," 调起 ACP agent",[21,52804,364],{"id":364},[366,52806,52807,52821],{},[369,52808,52809],{},[372,52810,52811,52813,52815,52817,52819],{},[375,52812,377],{},[375,52814,51580],{},[375,52816,1058],{},[375,52818,49767],{},[375,52820,33017],{},[390,52822,52823,52839,52853,52865,52879,52895],{},[372,52824,52825,52828,52831,52834,52837],{},[395,52826,52827],{},"启动",[395,52829,52830],{},"\u003C100ms",[395,52832,52833],{},"~1.5s",[395,52835,52836],{},"~1s",[395,52838,52833],{},[372,52840,52841,52844,52847,52849,52851],{},[395,52842,52843],{},"多人协同",[395,52845,52846],{},"✅ 一等公民",[395,52848,440],{},[395,52850,35723],{},[395,52852,440],{},[372,52854,52855,52857,52859,52861,52863],{},[395,52856,414],{},[395,52858,1899],{},[395,52860,420],{},[395,52862,1899],{},[395,52864,420],{},[372,52866,52867,52869,52872,52875,52877],{},[395,52868,34956],{},[395,52870,52871],{},"Open VSX",[395,52873,52874],{},"完整继承",[395,52876,52874],{},[395,52878,52874],{},[372,52880,52881,52884,52887,52890,52893],{},[395,52882,52883],{},"BYOK 政策",[395,52885,52886],{},"全档免费",[395,52888,52889],{},"Free + Pro",[395,52891,52892],{},"自带",[395,52894,440],{},[372,52896,52897,52900,52903,52906,52909],{},[395,52898,52899],{},"Agent 协议",[395,52901,52902],{},"ACP（多 agent）",[395,52904,52905],{},"自家 Agent",[395,52907,52908],{},"自家",[395,52910,50641],{},[21,52912,521],{"id":521},[36,52914,52915,52921,52927,52933,52939],{},[39,52916,52917,52920],{},[42,52918,52919],{},"先用 Free 跑两周再付钱","：BYOK 全档免费，能用就够；Pro 主要买无限编辑预测",[39,52922,52923,52926],{},[42,52924,52925],{},"Zeta2.1 vs Cursor Tab","：风格不同——Zeta 预测下一步行动而不是补全字符；不要拿补全速度比",[39,52928,52929,52932],{},[42,52930,52931],{},"Open VSX 不等于 VS Code Marketplace","：先确认你日常插件在 Open VSX 有",[39,52934,52935,52938],{},[42,52936,52937],{},"多人协同会泄露 buffer 状态","：合规严的项目用 Business 档关掉 prompt 训练",[39,52940,52941,52944],{},[42,52942,52943],{},"ACP 嵌入 agent 注意上下文隔离","：让 Claude Code 跑长任务时另开 worktree，别污染当前编辑",[21,52946,575],{"id":574},[36,52948,52949,52952,52955,52958,52961,52964,52967],{},[39,52950,52951],{},"✅ 性能党、Rust 开发者",[39,52953,52954],{},"✅ 远程团队需原生多人协同",[39,52956,52957],{},"✅ 想同时玩 Claude Code \u002F Codex \u002F Gemini 多 agent",[39,52959,52960],{},"✅ 重视开源 \u002F 离线 \u002F BYOK",[39,52962,52963],{},"❌ 重度依赖 VS Code Marketplace 闭源插件",[39,52965,52966],{},"❌ 中文界面深度本地化需求",[39,52968,52969],{},"❌ Windows 偏门工作流（菜单 \u002F 快捷键习惯差异）",[21,52971,604],{"id":604},[36,52973,52974,52978,52982,52986],{},[39,52975,52976],{},[610,52977,21100],{"href":21099},[39,52979,52980],{},[610,52981,49895],{"href":49894},[39,52983,52984],{},[610,52985,2048],{"href":2047},[39,52987,52988],{},[610,52989,52990],{"href":2059},"Codex CLI 评测",[21,52992,628],{"id":628},[630,52994,52995,53002,53009],{},[39,52996,52997,52998],{},"AIPedia — Zed 评测 2026-06（2026-06-01）",[610,52999,53000],{"href":53000,"rel":53001},"https:\u002F\u002Fwww.aipedia.wiki\u002Ftools\u002Fzed",[639],[39,53003,53004,53005],{},"ShipByAgent — Zed AI Pricing（2026-04-23）",[610,53006,53007],{"href":53007,"rel":53008},"https:\u002F\u002Fcost.shipbyagent.com\u002Ftools\u002Fzed",[639],[39,53010,53011,53012],{},"CostBench — Zed Free Plan 2026（2026-05-07）",[610,53013,53014],{"href":53014,"rel":53015},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-coding-assistants\u002Fzed-ai\u002Ffree-plan",[639],{"title":202,"searchDepth":250,"depth":250,"links":53017},[53018,53019,53020,53021,53022,53023,53024,53025,53026,53027],{"id":23,"depth":224,"text":24},{"id":21844,"depth":224,"text":21844},{"id":52660,"depth":224,"text":52661},{"id":52733,"depth":224,"text":52734},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fzed.webp","Zed 真实评测：Atom \u002F Tree-sitter 团队用 Rust 重写的代码编辑器，2026-05 改价：Free \u002F Pro $10 \u002F Business $30。Zeta2.1 开源编辑预测模型 3 倍降本、p50 延迟 136ms，Apache 2.0。",[53031,53034,53037,53040],{"q":53032,"a":53033},"Zeta2.1 是什么？为什么开源很关键？","Zed 自研的编辑预测模型（不是补全 next token，是预测 next edit）。2026-05-08 发布的 2.1 版本：3 倍 token 效率、p50 延迟 136ms（前代 189ms）、Hugging Face 开放权重 + PyPI 有 Rust 绑定可自托管。",{"q":53035,"a":53036},"Pro 真的够用吗？$5 credits 烧得快吗？","看模型。Sonnet 重度对话 3–5 天烧光是常见的；Haiku \u002F Gemini 偏轻量则 1 个月内够。建议：Pro $10 当『编辑预测无限』买，模型调用 BYOK 接自己的 Anthropic \u002F OpenAI key，长期更经济。",{"q":53038,"a":53039},"和 Cursor 比？","Cursor 强在 VS Code 插件生态全继承 + Agent 模式最深；Zed 强在原生性能、实时多人协同、ACP 多模型生态、BYOK 全档免费。重度 plug-in 用户 Cursor，性能党 \u002F 多人协同党 Zed。",{"q":53041,"a":53042},"Agent Client Protocol（ACP）是什么？","Zed 推的多 agent 接入标准。Claude Code、Codex CLI、Gemini CLI、OpenCode 都已经能直接嵌进 Zed 当 agent 跑——你在原生编辑器里调用不同厂的 agent。",[697],{},[1349,1348,1350],[53047,53049,53052,53055],{"plan":843,"price":707,"credits":52687,"notes":53048},"开源 Apache 2.0 编辑器全功能",{"plan":849,"price":3637,"credits":53050,"notes":53051},"无限编辑预测 + $5 模型额度","2026-05 从 $20 砍半；超出 API 价 +10%",{"plan":30638,"price":32231,"credits":53053,"notes":53054},"组织级 AI 策略 + BYOK 全免费","2026-05 新增；prompt 训练默认关闭",{"plan":52719,"price":12512,"credits":52724,"notes":53056},"学生身份验证后免费 Pro","Free \u002F Pro $10·月 \u002F Business $30·席·月（BYOK 全档免费）",[28001,22315],{"power":257,"ux":264,"price":257,"cn_support":250,"stability":257},{"title":51580,"description":53029},"Zed 代码编辑器评测 2026：高性能 Rust 编辑器，AI 功能集成",[53063,53065,53067],{"name":53064,"url":53007,"accessed":732},"ShipByAgent — Zed AI Pricing",{"name":53066,"url":53000,"accessed":732},"AIPedia — Zed 评测 2026-06",{"name":53068,"url":53014,"accessed":732},"CostBench — Zed Free Plan 2026","tools\u002Fcoding\u002Fide\u002Fzed","Rust + GPU 渲染的高性能原生编辑器，2026-05 重构定价 + 开源 Zeta2.1 编辑预测模型",[48538,7916,53072,40501,53073,53074],"native","performance","multiplayer","性能优先、原生体验、多人协同三件套独一档；VS Code 插件生态依赖重的团队仍留在 Cursor。BYOK 全档免费 + 开源 Zeta2.1 让重度个人开发者性价比极高。","https:\u002F\u002Fzed.dev","Cn_ZoIhwyrvnABC7Jl-OneGmnpmhkIb9FbCSVD_PhSA",{"id":53079,"title":53080,"alternatives":53081,"api_compatible":16,"body":53083,"category":2654,"chinese_friendly":264,"cover":53479,"description":53480,"domestic":680,"extension":681,"faq":53481,"free":680,"github":16,"languages":53494,"lastVerified":16,"meta":53495,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":53496,"pillar":22297,"platforms":53497,"priceTable":53498,"pricing":53505,"published":720,"relatedPlaybooks":53506,"relatedReviews":16,"score":53507,"self_host":253,"seo":53508,"seoTitle":53509,"slug":53510,"sources":53511,"stem":53518,"suitable":16,"tagline":53519,"tags":53520,"updated":732,"verdict":53521,"website":53522,"__hash__":53523},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fcherry-studio.md","Cherry Studio",[53082,6741,6740,6742],"coding\u002Flocal\u002Flobe-chat",{"type":18,"value":53084,"toc":53467},[53085,53087,53090,53093,53095,53137,53139,53151,53156,53160,53164,53181,53185,53202,53204,53227,53229,53359,53361,53393,53395,53418,53420,53442,53444],[21,53086,24],{"id":23},[26,53088,53089],{},"Cherry Studio 是一款开源、跨平台（Windows \u002F macOS \u002F Linux \u002F Android）的桌面 AI 客户端，定位『全能 AI 工作台』：把 OpenAI \u002F Anthropic \u002F Google \u002F DeepSeek 等云端模型，以及 Ollama \u002F LM Studio 本地模型，全部聚合到同一个桌面应用里管理。内置 300+ 助手模板、本地 RAG 知识库、Markdown + Mermaid 渲染、MCP 协议支持，所有对话数据本地存储 + WebDAV 备份。AGPL-3.0 开源、GitHub 60k+ stars，企业版可联系商务做私有化部署。",[26,53091,53092],{},"适合：中文 AI 重度用户、想统一管理多家模型、需要本地知识库 RAG、关注数据本地存储的开发者 \u002F 研究者。不适合：要 Web 端访问 \u002F Docker 自托管 \u002F 团队多人共享 \u002F iOS 端使用。",[21,53094,34],{"id":34},[36,53096,53097,53103,53109,53115,53120,53126,53131],{},[39,53098,53099,53102],{},[42,53100,53101],{},"多模型聚合","：OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek \u002F Qwen \u002F Kimi \u002F Moonshot 等云端 + Ollama \u002F LM Studio 本地",[39,53104,53105,53108],{},[42,53106,53107],{},"本地 RAG 知识库","：拖拽 PDF \u002F Word \u002F Excel \u002F PPT \u002F 网址 \u002F sitemap → 自动向量化 → 检索增强问答 + 来源追溯",[39,53110,53111,53114],{},[42,53112,53113],{},"300+ 助手模板","：编程 \u002F 写作 \u002F 翻译 \u002F 学习 \u002F 角色扮演开箱即用，可自定义 System Prompt",[39,53116,53117,53119],{},[42,53118,24253],{},"：扩展工具调用 \u002F 联网搜索 \u002F 文件操作",[39,53121,53122,53125],{},[42,53123,53124],{},"数据本地优先","：对话历史本地存储，WebDAV 同步，不上传第三方",[39,53127,53128,53130],{},[42,53129,809],{},"：图片识别 \u002F PDF 阅读 \u002F Markdown + Mermaid + 代码高亮",[39,53132,53133,53136],{},[42,53134,53135],{},"AI 绘画 + 翻译","：内置主流 SD \u002F DALL·E \u002F 翻译 API 集成",[21,53138,108],{"id":108},[36,53140,53141,53146],{},[39,53142,53143,53145],{},[42,53144,5722],{},"：完全免费，AGPL-3.0",[39,53147,53148,53150],{},[42,53149,833],{},"：私有化部署 + 团队协作 + 资源管控，联系销售",[130,53152,53153],{},[26,53154,53155],{},"模型 API 费用按你自己绑定的供应商计费；本地 Ollama \u002F LM Studio 零成本。",[21,53157,53159],{"id":53158},"实测mac-m2-中型知识库","实测（Mac M2 + 中型知识库）",[26,53161,53162],{},[42,53163,143],{},[36,53165,53166,53169,53172,53175,53178],{},[39,53167,53168],{},"中文 UI \u002F 文档 \u002F 社区都顶级，零门槛上手",[39,53170,53171],{},"本地 RAG 拖入 30+ PDF 后向量化 \u003C 2 分钟（用 bge-m3）",[39,53173,53174],{},"多模型并排回答：让 Claude \u002F GPT \u002F DeepSeek 同回一个问题做比较",[39,53176,53177],{},"MCP 接 Brave Search + 自定义工具流畅",[39,53179,53180],{},"WebDAV 同步坚果云 \u002F 阿里云盘，桌面 + 移动设备数据互通",[26,53182,53183],{},[42,53184,168],{},[36,53186,53187,53190,53193,53196,53199],{},[39,53188,53189],{},"没有 Web 端 \u002F Docker 自托管（要这个用 LobeChat）",[39,53191,53192],{},"iOS 版尚未发布（roadmap 中）",[39,53194,53195],{},"大型 PDF（>100 MB）向量化偶有失败，要切小",[39,53197,53198],{},"助手市场质量参差，要自筛",[39,53200,53201],{},"模型 API 调用全靠你自己付费，新手要先理解 API Key 概念",[21,53203,936],{"id":936},[630,53205,53206,53209,53212,53218,53221,53224],{},[39,53207,53208],{},"cherry-ai.com 下载客户端（或 GitHub releases）",[39,53210,53211],{},"设置 → 模型服务 → 填 OpenAI \u002F Claude \u002F DeepSeek API Key",[39,53213,53214,53215],{},"（可选）本地：装 Ollama → Cherry Studio 自动识别 endpoint ",[610,53216,14786],{"href":14786,"rel":53217},[639],[39,53219,53220],{},"新建知识库 → 拖文件 \u002F 加网址 → 等向量化",[39,53222,53223],{},"新对话 → 选模型 → 勾知识库 → 提问",[39,53225,53226],{},"进阶：自定义助手（System Prompt）+ MCP 扩展工具",[21,53228,364],{"id":364},[366,53230,53231,53247],{},[369,53232,53233],{},[372,53234,53235,53237,53239,53242,53244],{},[375,53236,377],{},[375,53238,53080],{},[375,53240,53241],{},"LobeChat",[375,53243,6966],{},[375,53245,53246],{},"Open WebUI",[390,53248,53249,53264,53278,53290,53302,53316,53328,53343],{},[372,53250,53251,53253,53256,53259,53261],{},[395,53252,2367],{},[395,53254,53255],{},"桌面",[395,53257,53258],{},"Web + 桌面",[395,53260,53255],{},[395,53262,53263],{},"Docker \u002F 桌面",[372,53265,53266,53268,53271,53273,53276],{},[395,53267,53101],{},[395,53269,53270],{},"✅ 云 + 本地",[395,53272,53270],{},[395,53274,53275],{},"本地为主",[395,53277,53270],{},[372,53279,53280,53282,53284,53286,53288],{},[395,53281,16692],{},[395,53283,14629],{},[395,53285,14629],{},[395,53287,443],{},[395,53289,1100],{},[372,53291,53292,53294,53296,53298,53300],{},[395,53293,1850],{},[395,53295,1100],{},[395,53297,1100],{},[395,53299,443],{},[395,53301,1100],{},[372,53303,53304,53307,53310,53312,53314],{},[395,53305,53306],{},"自托管 \u002F Web",[395,53308,53309],{},"无 Web",[395,53311,15183],{},[395,53313,35723],{},[395,53315,15183],{},[372,53317,53318,53320,53322,53324,53326],{},[395,53319,6357],{},[395,53321,24488],{},[395,53323,24488],{},[395,53325,22777],{},[395,53327,22777],{},[372,53329,53330,53333,53336,53338,53341],{},[395,53331,53332],{},"开源协议",[395,53334,53335],{},"AGPL-3.0",[395,53337,8343],{},[395,53339,53340],{},"闭源（免费）",[395,53342,8343],{},[372,53344,53345,53348,53351,53354,53356],{},[395,53346,53347],{},"GitHub Stars",[395,53349,53350],{},"60k+",[395,53352,53353],{},"72k+",[395,53355,437],{},[395,53357,53358],{},"126k+",[21,53360,521],{"id":521},[36,53362,53363,53369,53375,53381,53387],{},[39,53364,53365,53368],{},[42,53366,53367],{},"API Key 别明文外泄","：客户端配置文件以明文存 Key，机器借出前先清；团队共享用企业版 \u002F 自建中转",[39,53370,53371,53374],{},[42,53372,53373],{},"知识库别一次塞太多","：单库 1000+ 文档检索质量明显下降，按主题切分多个知识库",[39,53376,53377,53380],{},[42,53378,53379],{},"嵌入模型选择","：免费 bge-m3 够用；专业用付费 Pro\u002FBAAI\u002Fbge-m3 或 OpenAI text-embedding-3",[39,53382,53383,53386],{},[42,53384,53385],{},"WebDAV 同步先小范围测","：知识库向量数据较大，先备份对话再开同步",[39,53388,53389,53392],{},[42,53390,53391],{},"MCP 工具来源要可控","：MCP 是给 AI 真实工具能力，第三方插件审一遍代码",[21,53394,575],{"id":574},[36,53396,53397,53400,53403,53406,53409,53412,53415],{},[39,53398,53399],{},"✅ 中文用户、AI 重度使用 \u002F 多模型管理",[39,53401,53402],{},"✅ 需要本地 RAG 知识库",[39,53404,53405],{},"✅ 关注数据隐私 \u002F 本地存储",[39,53407,53408],{},"✅ 想用 Ollama \u002F LM Studio 本地模型",[39,53410,53411],{},"❌ 需要 Web 端 \u002F Docker 自托管",[39,53413,53414],{},"❌ 团队多人共享 \u002F SSO",[39,53416,53417],{},"❌ iOS 主力用户",[21,53419,604],{"id":604},[36,53421,53422,53428,53432,53436],{},[39,53423,53424],{},[610,53425,53427],{"href":53426},"\u002Ftools\u002Fcoding\u002Flocal\u002Flobe-chat","LobeChat 评测",[39,53429,53430],{},[610,53431,7207],{"href":7206},[39,53433,53434],{},[610,53435,7201],{"href":7200},[39,53437,53438],{},[610,53439,53441],{"href":53440},"\u002Fplaybook\u002Fonboarding\u002Frag-pipeline-build","RAG Pipeline 搭建 Playbook",[21,53443,628],{"id":628},[630,53445,53446,53453,53460],{},[39,53447,53448,53449],{},"Cherry Studio 官网（功能 + 下载）",[610,53450,53451],{"href":53451,"rel":53452},"https:\u002F\u002Fwww.cherry-ai.com\u002F",[639],[39,53454,53455,53456],{},"MBLUO Studio — Cherry Studio 评测 2026 ",[610,53457,53458],{"href":53458,"rel":53459},"https:\u002F\u002Fmbluostudio.com\u002Ftools\u002Fcherry-studio",[639],[39,53461,53462,53463],{},"Cursor IDE 博客 — Cherry Studio 完全指南（2025-03）",[610,53464,53465],{"href":53465,"rel":53466},"https:\u002F\u002Fwww.cursor-ide.com\u002Fblog\u002Fcherry-studio-guide",[639],{"title":202,"searchDepth":250,"depth":250,"links":53468},[53469,53470,53471,53472,53473,53474,53475,53476,53477,53478],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":53158,"depth":224,"text":53159},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcherry-studio.webp","Cherry Studio 真实评测：开源跨平台桌面 AI 客户端，集成 OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek + Ollama \u002F LM Studio 本地模型，内置 300+ 助手模板 + 本地 RAG 知识库。AGPL-3.0 开源、GitHub 60k+ stars，企业版另询。",[53482,53485,53488,53491],{"q":53483,"a":53484},"Cherry Studio 真的免费吗？","是。客户端完全免费、AGPL-3.0 开源，模型调用走你自己的 API Key（OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek 等付费）或本地 Ollama \u002F LM Studio（零成本）。",{"q":53486,"a":53487},"本地知识库怎么用？","在『知识库』面板新建，拖文件 \u002F 加网址 \u002F 填 sitemap，系统自动向量化（默认 BAAI\u002Fbge-m3 或硅基流动的 Pro 版）；提问时勾选要检索的知识库，AI 会基于检索片段答题并标出来源。",{"q":53489,"a":53490},"和 LobeChat 怎么选？","都开源、多模型、有 RAG。LobeChat 是 Web + 桌面双形态，可自托管 Docker，72k stars；Cherry Studio 是纯桌面（Win\u002FMac\u002FLinux\u002FAndroid），不支持 Web 部署但桌面体验更精细，60k+ stars。要 Web 访问 \u002F 公司多人共享选 LobeChat；个人重度选 Cherry Studio。",{"q":53492,"a":53493},"支持 MCP \u002F 插件吗？","支持 MCP（Model Context Protocol）扩展，配合自定义助手（System Prompt）可扩展工具调用、联网搜索等能力。",[696,697],{},"\u002Ftools\u002Fcoding\u002Flocal\u002Fcherry-studio",[1349,1348,1350,702],[53499,53502],{"plan":5722,"price":12512,"features":53500,"notes":53501},"300+ 助手模板 \u002F 云端 + 本地模型 \u002F 知识库 \u002F MCP \u002F WebDAV 备份","AGPL-3.0 开源",{"plan":833,"price":10045,"features":53503,"notes":53504},"私有化部署 \u002F 团队协作 \u002F AI 资源管控 \u002F 知识库管理","面向企业团队","开源免费 \u002F 企业版联系销售",[25341,32568],{"power":257,"ux":264,"price":264,"cn_support":264,"stability":257},{"title":53080,"description":53480},"Cherry Studio 评测 2026：AI 客户端工具，多模型桌面助手，开源免费","coding\u002Flocal\u002Fcherry-studio",[53512,53514,53516],{"name":53513,"url":53451,"accessed":732},"Cherry Studio 官网",{"name":53515,"url":53458,"accessed":732},"MBLUO Studio — Cherry Studio 评测",{"name":53517,"url":53465,"accessed":732},"Cursor IDE 博客 — Cherry Studio 指南","tools\u002Fcoding\u002Flocal\u002Fcherry-studio","全能 AI 客户端：多模型聚合 + 本地知识库 + 300+ 助手模板，跨平台桌面应用",[2654,677,2153,4466,10423,40501,14338],"国产 AI 桌面客户端第一梯队，多模型聚合 + 本地 RAG + 中文体验顶级。需要 Web 部署 \u002F 自托管选 LobeChat；只要桌面体验完整选 Cherry Studio。","https:\u002F\u002Fcherry-ai.com","CVmnny2iirvdFz56djfCs7oCOn1Mjv6hZCZ5SNO0U0Q",{"id":53525,"title":2593,"alternatives":53526,"api_compatible":16,"body":53528,"category":2654,"chinese_friendly":224,"cover":53909,"description":53910,"domestic":680,"extension":681,"faq":16,"free":680,"github":53894,"languages":53911,"lastVerified":2637,"meta":53912,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":53913,"pillar":22297,"platforms":53914,"priceTable":16,"pricing":10903,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":53915,"self_host":680,"seo":53916,"seoTitle":53917,"slug":53918,"sources":53919,"stem":53922,"suitable":16,"tagline":53923,"tags":53924,"updated":2637,"verdict":53927,"website":53888,"__hash__":53928},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fgpt4all.md",[6740,6741,53527],"coding\u002Flocal\u002Fjan",{"type":18,"value":53529,"toc":53896},[53530,53532,53539,53542,53544,53594,53596,53600,53623,53626,53628,53634,53651,53655,53672,53674,53697,53699,53786,53788,53820,53822,53845,53847,53853,53859,53865,53867,53876,53878,53882],[21,53531,24],{"id":23},[26,53533,53534,53535,53538],{},"GPT4All 是 Nomic AI 出品的本地 LLM 推理工具，最大卖点是",[42,53536,53537],{},"CPU 也能跑","——没有独立显卡的普通笔记本 \u002F 办公本照样运行本地大模型。MIT 开源，桌面客户端一键下载 GGUF 模型，开箱即用。适合无 GPU 设备、隐私优先、轻量本地推理场景。",[26,53540,53541],{},"适合：没有独立 GPU 的笔记本 \u002F 办公本用户、需要完全离线本地推理、隐私敏感场景、轻量聊天 \u002F 文档处理。不适合：需要高速推理（CPU 太慢）、需要 OpenAI 兼容 API 给应用接入（用 Ollama）、需要大模型（32B+，CPU 跑不动）。",[21,53543,34],{"id":34},[36,53545,53546,53552,53558,53564,53570,53576,53582,53588],{},[39,53547,53548,53551],{},[42,53549,53550],{},"CPU 推理","：基于 llama.cpp 优化，纯 CPU 跑 7B 量化模型，无需 GPU",[39,53553,53554,53557],{},[42,53555,53556],{},"一键下载模型","：内置模型库，点击即下载 GGUF 格式模型，自动配置",[39,53559,53560,53563],{},[42,53561,53562],{},"桌面客户端","：跨平台 GUI（Win \u002F Mac \u002F Linux），聊天界面开箱即用",[39,53565,53566,53569],{},[42,53567,53568],{},"LocalDocs（RAG）","：内置文档问答功能，拖入 PDF \u002F 文档即可基于本地文档聊天",[39,53571,53572,53575],{},[42,53573,53574],{},"OpenAI 兼容 API","：内置 Local Server，暴露 OpenAI 兼容端点供应用调用",[39,53577,53578,53581],{},[42,53579,53580],{},"模型库丰富","：Llama \u002F Qwen \u002F Mistral \u002F Phi \u002F GPT-OSS 等主流开源模型可选",[39,53583,53584,53587],{},[42,53585,53586],{},"GPU 加速（可选）","：有 GPU 时自动启用，速度提升数倍",[39,53589,53590,53593],{},[42,53591,53592],{},"MIT 开源","：完全免费，可商用，提供 Python \u002F C++ SDK 二次开发",[21,53595,108],{"id":108},[130,53597,53598],{},[26,53599,50022],{},[366,53601,53602,53612],{},[369,53603,53604],{},[372,53605,53606,53608,53610],{},[375,53607,9528],{},[375,53609,108],{},[375,53611,30012],{},[390,53613,53614],{},[372,53615,53616,53618,53620],{},[395,53617,5722],{},[395,53619,707],{},[395,53621,53622],{},"完整功能，MIT 协议，商用免费",[26,53624,53625],{},"完全免费。成本在于硬件（CPU \u002F 内存）和你选用的模型。",[21,53627,2241],{"id":2240},[130,53629,53630],{},[26,53631,2246,53632],{},[42,53633,143],{},[36,53635,53636,53639,53642,53645,53648],{},[39,53637,53638],{},"纯 CPU 跑 Qwen2.5-7B-Q4 在 i7 笔记本上约 5-8 tok\u002Fs，轻量聊天可用",[39,53640,53641],{},"LocalDocs 文档问答好用：拖入技术 PDF，直接问问题，完全离线",[39,53643,53644],{},"模型一键下载体验顺滑，不用手动找 GGUF + 配路径",[39,53646,53647],{},"有 GPU 时自动加速，RTX 3060 跑 7B 约 30-40 tok\u002Fs",[39,53649,53650],{},"桌面 GUI 简洁易用，非技术用户也能上手",[26,53652,53653],{},[42,53654,168],{},[36,53656,53657,53660,53663,53666,53669],{},[39,53658,53659],{},"CPU 推理速度慢，7B 模型生成一段代码要等 10-20 秒",[39,53661,53662],{},"内存占用高：7B-Q4 至少需 8GB RAM，13B 需 16GB",[39,53664,53665],{},"LocalDocs 的 RAG 质量一般，复杂文档检索准确率不高",[39,53667,53668],{},"OpenAI 兼容 API 功能弱，不如 Ollama 灵活，不支持自定义 Modelfile",[39,53670,53671],{},"中文模型支持一般，需手动选 Qwen 等中文友好的模型",[21,53673,936],{"id":936},[630,53675,53676,53679,53682,53685,53688,53691],{},[39,53677,53678],{},"从 gpt4all.io 下载对应平台安装包",[39,53680,53681],{},"安装后打开桌面客户端",[39,53683,53684],{},"点击 \"Downloads\" → 选模型（推荐 Qwen2.5-7B-Q4 或 Llama3.1-8B-Q4）",[39,53686,53687],{},"下载完成后回到 Chat → 选模型 → 开始聊天",[39,53689,53690],{},"文档问答：LocalDocs → 添加文档文件夹 → 在聊天中勾选引用",[39,53692,53693,53694],{},"API 接入：Settings → 启用 API Server → 端点 ",[204,53695,53696],{},"http:\u002F\u002Flocalhost:4891\u002Fv1",[21,53698,364],{"id":364},[366,53700,53701,53713],{},[369,53702,53703],{},[372,53704,53705,53707,53709,53711],{},[375,53706,377],{},[375,53708,2593],{},[375,53710,6963],{},[375,53712,6966],{},[390,53714,53715,53726,53736,53750,53762,53776],{},[372,53716,53717,53719,53722,53724],{},[395,53718,53550],{},[395,53720,53721],{},"✅ 优化好",[395,53723,1100],{},[395,53725,1100],{},[372,53727,53728,53730,53732,53734],{},[395,53729,6975],{},[395,53731,7626],{},[395,53733,6981],{},[395,53735,1100],{},[372,53737,53738,53741,53744,53747],{},[395,53739,53740],{},"模型下载",[395,53742,53743],{},"✅ 内置库",[395,53745,53746],{},"✅ CLI",[395,53748,53749],{},"✅ GUI 库",[372,53751,53752,53755,53757,53760],{},[395,53753,53754],{},"OpenAI API",[395,53756,10210],{},[395,53758,53759],{},"强（Modelfile）",[395,53761,1100],{},[372,53763,53764,53767,53770,53773],{},[395,53765,53766],{},"文档 RAG",[395,53768,53769],{},"✅ LocalDocs",[395,53771,53772],{},"需配 WebUI",[395,53774,53775],{},"需插件",[372,53777,53778,53780,53782,53784],{},[395,53779,414],{},[395,53781,8343],{},[395,53783,8343],{},[395,53785,420],{},[21,53787,521],{"id":521},[36,53789,53790,53796,53802,53808,53814],{},[39,53791,53792,53795],{},[42,53793,53794],{},"CPU 用户别跑大模型","：13B 以上 CPU 跑基本不可用，坚持 7B 量化",[39,53797,53798,53801],{},[42,53799,53800],{},"LocalDocs 别放太多文件","：文件多了索引慢且检索质量下降，分批放",[39,53803,53804,53807],{},[42,53805,53806],{},"API Server 别对公网开","：默认无鉴权，仅本地用",[39,53809,53810,53813],{},[42,53811,53812],{},"内存不够会崩","：8GB RAM 只能跑 7B-Q4，别勉强 13B",[39,53815,53816,53819],{},[42,53817,53818],{},"中文场景选 Qwen","：Llama 系列中文能力弱，Qwen \u002F GLM 更合适",[21,53821,575],{"id":574},[36,53823,53824,53827,53830,53833,53836,53839,53842],{},[39,53825,53826],{},"✅ 没有独立 GPU 的笔记本 \u002F 办公本",[39,53828,53829],{},"✅ 需要完全离线 + 隐私优先的本地推理",[39,53831,53832],{},"✅ 轻量聊天 \u002F 文档问答场景",[39,53834,53835],{},"✅ 非技术用户（GUI 友好）",[39,53837,53838],{},"❌ 需要高速推理（有 GPU 直接 Ollama）",[39,53840,53841],{},"❌ 需要给应用 \u002F IDE 接入 API（用 Ollama）",[39,53843,53844],{},"❌ 需要跑大模型（32B+，CPU 跑不动）",[21,53846,2552],{"id":2551},[26,53848,53849,53852],{},[42,53850,53851],{},"Q: CPU 跑 7B 模型速度能接受吗？","\nA: 看用途。轻量聊天 \u002F 短问答可以接受（5-8 tok\u002Fs）。但代码生成 \u002F 长文本输出等待时间较长（一段代码 10-20 秒）。有 GPU 强烈建议用 GPU。",[26,53854,53855,53858],{},[42,53856,53857],{},"Q: GPT4All 和 Ollama 怎么选？","\nA: 没 GPU + 要 GUI → GPT4All。有 GPU + 要 API 接入应用 → Ollama。两者底层都基于 llama.cpp，模型格式通用（GGUF）。",[26,53860,53861,53864],{},[42,53862,53863],{},"Q: LocalDocs 文档问答好用吗？","\nA: 基础可用但 RAG 质量一般。简单 PDF 问答没问题，复杂文档 \u002F 多文件检索准确率不高。专业 RAG 需求建议配 Open WebUI + 向量数据库。",[21,53866,604],{"id":604},[26,53868,53869,2589,53871,2589,53873],{},[610,53870,2588],{"href":2587},[610,53872,2597],{"href":2596},[610,53874,2160],{"href":53875},"\u002Fagent\u002Fdesktop\u002Fopen-interpreter.html",[21,53877,628],{"id":628},[130,53879,53880],{},[26,53881,2604],{},[36,53883,53884,53890],{},[39,53885,53886],{},[610,53887,2613],{"href":53888,"rel":53889},"https:\u002F\u002Fgpt4all.io",[639],[39,53891,53892],{},[610,53893,2620],{"href":53894,"rel":53895},"https:\u002F\u002Fgithub.com\u002Fnomic-ai\u002Fgpt4all",[639],{"title":202,"searchDepth":250,"depth":250,"links":53897},[53898,53899,53900,53901,53902,53903,53904,53905,53906,53907,53908],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fgpt4all.webp","GPT4All 真实评测：Nomic AI 出品的本地 LLM 推理工具（MIT 协议），支持 CPU 运行无需 GPU，GGUF 格式模型一键下载。跨平台桌面客户端，适合没有独立显卡、需要在普通笔记本上跑本地大模型的用户。",[697],{},"\u002Ftools\u002Fcoding\u002Flocal\u002Fgpt4all",[1349,1348,1350],{"power":250,"ux":257,"price":264,"cn_support":224,"stability":257},{"title":2593,"description":53910},"GPT4All - 本地 LLM 推理引擎评测与使用 | AIHO","coding\u002Flocal\u002Fgpt4all",[53920,53921],{"title":2613,"url":53888},{"title":2620,"url":53894},"tools\u002Fcoding\u002Flocal\u002Fgpt4all","本地 LLM 推理，Nomic AI 出品，支持 CPU 运行",[2654,53925,745,53926],"cpu-inference","gguf","没有 GPU 也能跑本地大模型的首选，CPU 推理 + 一键下载模型体验顺滑；但推理速度慢、API 能力弱，有 GPU 用户建议直接 Ollama。","oTtyXhNkQBIi7aJI5YJrsiu_c1A81ifErtlA5QOs9UI",{"id":53930,"title":2588,"alternatives":53931,"api_compatible":16,"body":53932,"category":2654,"chinese_friendly":250,"cover":54318,"description":54319,"domestic":680,"extension":681,"faq":16,"free":680,"github":54303,"languages":54320,"lastVerified":2637,"meta":54321,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":54322,"pillar":22297,"platforms":54323,"priceTable":16,"pricing":2641,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":54324,"self_host":680,"seo":54325,"seoTitle":54326,"slug":53527,"sources":54327,"stem":54330,"suitable":16,"tagline":54331,"tags":54332,"updated":2637,"verdict":54334,"website":54297,"__hash__":54335},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fjan.md",[6741,53510,6740],{"type":18,"value":53933,"toc":54305},[53934,53936,53943,53946,53948,53996,53998,54002,54025,54028,54030,54036,54053,54057,54074,54076,54096,54098,54197,54199,54231,54233,54255,54257,54263,54269,54275,54277,54285,54287,54291],[21,53935,24],{"id":23},[26,53937,53938,53939,53942],{},"Jan 是开源的本地 LLM 桌面客户端，定位是",[42,53940,53941],{},"ChatGPT 的离线替代品","。界面设计精美，操作体验接近 ChatGPT，支持 GGUF 模型一键下载、本地推理、多模型切换、插件扩展。AGPL 开源，完全免费。适合想要一个好看好用的本地 AI 聊天工具、隐私优先的用户。",[26,53944,53945],{},"适合：想要 ChatGPT 颜值和体验的本地替代、个人离线聊天、隐私敏感场景、非技术用户（GUI 友好）。不适合：需要 OpenAI 兼容 API 给应用接入（用 Ollama）、需要模型调参 \u002F 量化选择（用 LM Studio）、企业商用（AGPL 限制）。",[21,53947,34],{"id":34},[36,53949,53950,53956,53961,53967,53972,53978,53984,53990],{},[39,53951,53952,53955],{},[42,53953,53954],{},"ChatGPT 式界面","：聊天 UI 设计精美，多会话管理、Markdown 渲染、代码高亮",[39,53957,53958,53960],{},[42,53959,53556],{},"：内置模型市场，搜索 GGUF 模型点击下载，自动配置",[39,53962,53963,53966],{},[42,53964,53965],{},"本地推理","：基于 llama.cpp，支持 CPU \u002F GPU 加速，完全离线运行",[39,53968,53969,53971],{},[42,53970,1820],{},"：一个会话可切换不同模型对比输出，方便评估",[39,53973,53974,53977],{},[42,53975,53976],{},"插件系统","：支持扩展功能，如网页搜索、文档分析、API 代理等",[39,53979,53980,53983],{},[42,53981,53982],{},"远程 API 接入","：除了本地模型，也支持接 OpenAI \u002F Anthropic 等云端 API",[39,53985,53986,53989],{},[42,53987,53988],{},"跨平台桌面 App","：Win \u002F Mac \u002F Linux 原生安装包，Electron 构建",[39,53991,53992,53995],{},[42,53993,53994],{},"隐私优先","：所有数据本地存储，无遥测，无云端调用（本地模型模式）",[21,53997,108],{"id":108},[130,53999,54000],{},[26,54001,50022],{},[366,54003,54004,54014],{},[369,54005,54006],{},[372,54007,54008,54010,54012],{},[375,54009,9528],{},[375,54011,108],{},[375,54013,30012],{},[390,54015,54016],{},[372,54017,54018,54020,54022],{},[395,54019,5722],{},[395,54021,707],{},[395,54023,54024],{},"完整功能，AGPL 协议",[26,54026,54027],{},"完全免费。注意 AGPL 协议：个人使用无限制，但二次开发 \u002F 商用需遵守开源传染条款。",[21,54029,2241],{"id":2240},[130,54031,54032],{},[26,54033,2246,54034],{},[42,54035,143],{},[36,54037,54038,54041,54044,54047,54050],{},[39,54039,54040],{},"界面设计是同类最佳：比 LM Studio \u002F GPT4All 好看很多，接近 ChatGPT 体验",[39,54042,54043],{},"模型下载体验顺滑：搜索 → 下载 → 使用，全程 GUI，零命令行",[39,54045,54046],{},"多模型对比实用：同一问题切换模型看不同回答，选模型很方便",[39,54048,54049],{},"插件系统有潜力：网页搜索插件让本地模型也能联网",[39,54051,54052],{},"支持云端 API 混用：本地模型 + GPT-4o 切换，一个客户端搞定",[26,54054,54055],{},[42,54056,168],{},[36,54058,54059,54062,54065,54068,54071],{},[39,54060,54061],{},"Electron 应用内存占用偏高，老设备偶有卡顿",[39,54063,54064],{},"模型管理不如 LM Studio：量化版本选择少，调参选项有限",[39,54066,54067],{},"API Server 功能弱：有 OpenAI 兼容端点但不如 Ollama 灵活",[39,54069,54070],{},"插件生态尚不成熟，可用插件不多",[39,54072,54073],{},"AGPL 协议对企业不友好，商用需注意合规",[21,54075,936],{"id":936},[630,54077,54078,54081,54084,54087,54090,54093],{},[39,54079,54080],{},"从 jan.ai 下载对应平台安装包",[39,54082,54083],{},"安装后打开 Jan，界面类似 ChatGPT",[39,54085,54086],{},"点击模型市场（Hub）→ 搜索推荐模型（Qwen2.5-7B \u002F Llama3.1-8B）",[39,54088,54089],{},"下载模型后，新建会话 → 选择模型 → 开始聊天",[39,54091,54092],{},"多模型对比：同一会话切换模型或开多个会话",[39,54094,54095],{},"接云端 API：Settings → API Keys → 填入 OpenAI Key 即可混用",[21,54097,364],{"id":364},[366,54099,54100,54114],{},[369,54101,54102],{},[372,54103,54104,54106,54108,54110,54112],{},[375,54105,377],{},[375,54107,2588],{},[375,54109,6966],{},[375,54111,6963],{},[375,54113,53080],{},[390,54115,54116,54130,54143,54156,54169,54183],{},[372,54117,54118,54121,54123,54125,54128],{},[395,54119,54120],{},"界面颜值",[395,54122,2461],{},[395,54124,2458],{},[395,54126,54127],{},"无 GUI",[395,54129,2461],{},[372,54131,54132,54135,54137,54139,54141],{},[395,54133,54134],{},"模型管理",[395,54136,2458],{},[395,54138,10213],{},[395,54140,10213],{},[395,54142,2458],{},[372,54144,54145,54148,54150,54152,54154],{},[395,54146,54147],{},"API 接入",[395,54149,10210],{},[395,54151,1100],{},[395,54153,10213],{},[395,54155,1100],{},[372,54157,54158,54161,54163,54165,54167],{},[395,54159,54160],{},"插件扩展",[395,54162,1100],{},[395,54164,426],{},[395,54166,426],{},[395,54168,1100],{},[372,54170,54171,54174,54176,54178,54181],{},[395,54172,54173],{},"云端 API 混用",[395,54175,1100],{},[395,54177,1100],{},[395,54179,54180],{},"需配",[395,54182,1100],{},[372,54184,54185,54187,54190,54192,54194],{},[395,54186,53332],{},[395,54188,54189],{},"AGPL",[395,54191,420],{},[395,54193,8343],{},[395,54195,54196],{},"Apache",[21,54198,521],{"id":521},[36,54200,54201,54207,54213,54219,54225],{},[39,54202,54203,54206],{},[42,54204,54205],{},"别指望它做 API 服务器","：Jan 的 API Server 功能基础，给应用接入用 Ollama",[39,54208,54209,54212],{},[42,54210,54211],{},"模型选对量化","：默认下载的可能不是最优量化，手动选 Q4_K_M 平衡速度质量",[39,54214,54215,54218],{},[42,54216,54217],{},"Electron 吃内存","：8GB RAM 设备跑大模型 + Jan 本身会卡，关其他应用",[39,54220,54221,54224],{},[42,54222,54223],{},"AGPL 商用注意","：企业内部署需法务确认 AGPL 合规",[39,54226,54227,54230],{},[42,54228,54229],{},"插件别装太多","：部分插件质量参差，可能影响稳定性",[21,54232,575],{"id":574},[36,54234,54235,54238,54241,54244,54247,54249,54252],{},[39,54236,54237],{},"✅ 想要 ChatGPT 颜值和体验的本地替代",[39,54239,54240],{},"✅ 个人离线聊天 \u002F 隐私优先场景",[39,54242,54243],{},"✅ 非技术用户（GUI 友好，零命令行）",[39,54245,54246],{},"✅ 本地 + 云端 API 混用需求",[39,54248,53841],{},[39,54250,54251],{},"❌ 需要精细模型调参 \u002F 量化管理（用 LM Studio）",[39,54253,54254],{},"❌ 企业商用（AGPL 限制）",[21,54256,2552],{"id":2551},[26,54258,54259,54262],{},[42,54260,54261],{},"Q: Jan 和 LM Studio 怎么选？","\nA: 颜值和聊天体验选 Jan，模型管理和调参选 LM Studio。Jan 更像 ChatGPT，LM Studio 更像模型工具箱。两者都免费，可以都装。",[26,54264,54265,54268],{},[42,54266,54267],{},"Q: 能给 Cursor \u002F Cline 接入吗？","\nA: Jan 有 OpenAI 兼容 API Server（默认端口 1337），理论上可以。但不如 Ollama 稳定灵活，推荐用 Ollama 做 API 服务器。",[26,54270,54271,54274],{},[42,54272,54273],{},"Q: AGPL 协议影响个人使用吗？","\nA: 不影响。AGPL 主要约束网络服务分发场景。个人本地使用完全无限制。只有你把 Jan 改造后对外提供 SaaS 服务才需开源你的修改。",[21,54276,604],{"id":604},[26,54278,54279,2589,54281,2589,54283],{},[610,54280,2593],{"href":2592},[610,54282,2597],{"href":2596},[610,54284,2160],{"href":53875},[21,54286,628],{"id":628},[130,54288,54289],{},[26,54290,2604],{},[36,54292,54293,54299],{},[39,54294,54295],{},[610,54296,2613],{"href":54297,"rel":54298},"https:\u002F\u002Fjan.ai",[639],[39,54300,54301],{},[610,54302,2620],{"href":54303,"rel":54304},"https:\u002F\u002Fgithub.com\u002Fjanhq\u002Fjan",[639],{"title":202,"searchDepth":250,"depth":250,"links":54306},[54307,54308,54309,54310,54311,54312,54313,54314,54315,54316,54317],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fjan.webp","Jan 真实评测：开源本地 LLM 桌面客户端（AGPL 协议），定位 ChatGPT 的离线替代，支持 GGUF 模型一键下载 + 本地推理 + 插件扩展。跨平台桌面 app，适合需要完全离线、隐私优先的本地 AI 聊天场景。",[697],{},"\u002Ftools\u002Fcoding\u002Flocal\u002Fjan",[1349,1348,1350],{"power":250,"ux":257,"price":264,"cn_support":250,"stability":250},{"title":2588,"description":54319},"Jan - 开源本地 LLM 桌面客户端评测 | AIHO",[54328,54329],{"title":2613,"url":54297},{"title":2620,"url":54303},"tools\u002Fcoding\u002Flocal\u002Fjan","开源本地 LLM 桌面客户端，定位 ChatGPT 的离线替代",[2654,677,745,53926,54333],"offline","颜值最高、最像 ChatGPT 的开源本地 LLM 客户端，离线聊天体验好；但 API 能力和模型管理不如 Ollama\u002FLM Studio，定位偏轻量个人使用。","SYftPw58WAWIAEA4qHpFo2Ki3Z1H9q97Rp4jQR560KE",{"id":54337,"title":6966,"alternatives":54338,"api_compatible":16,"body":54339,"category":2654,"chinese_friendly":250,"cover":54751,"description":54752,"domestic":680,"extension":681,"faq":54753,"free":680,"github":16,"languages":54766,"lastVerified":16,"meta":54767,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":7206,"pillar":22297,"platforms":54768,"priceTable":54769,"pricing":54777,"published":720,"relatedPlaybooks":54778,"relatedReviews":16,"score":54779,"self_host":253,"seo":54780,"seoTitle":54781,"slug":6741,"sources":54782,"stem":54789,"suitable":16,"tagline":54790,"tags":54791,"updated":732,"verdict":54796,"website":54797,"__hash__":54798},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio.md",[6740,6742,53510,53082],{"type":18,"value":54340,"toc":54739},[54341,54343,54350,54353,54355,54411,54413,54427,54432,54436,54440,54457,54461,54478,54480,54506,54508,54634,54636,54668,54670,54693,54695,54714,54716],[21,54342,24],{"id":23},[26,54344,54345,54346,54349],{},"LM Studio 是 Windows \u002F macOS \u002F Linux 桌面应用，让你像浏览 App Store 一样发现、下载、运行本地大模型（GGUF \u002F MLX 格式）。底层基于 llama.cpp + MLX，Mac M 系列原生优化。0.3+ 起新增 Headless 模式 + ",[204,54347,54348],{},"lms"," CLI，可在服务器跑 OpenAI 兼容 API（默认 :1234）。个人 \u002F 评估完全免费，商用咨询。",[26,54351,54352],{},"适合：本地 LLM 入门 \u002F 评估、Mac 用户、需要 GUI 调参 \u002F 模型比较、想给 IDE \u002F 应用接本地 OpenAI 兼容 endpoint 的开发者。不适合：多用户并发生产服务（用 vLLM）、嵌入式 \u002F 边缘部署（用 llama.cpp）、纯 CLI 工作流（用 Ollama）。",[21,54354,34],{"id":34},[36,54356,54357,54363,54369,54375,54384,54393,54399,54405],{},[39,54358,54359,54362],{},[42,54360,54361],{},"模型浏览器","：内置 Hugging Face 检索，按 GGUF \u002F MLX \u002F 大小筛选、一键下载",[39,54364,54365,54368],{},[42,54366,54367],{},"聊天界面","：System Prompt \u002F temperature \u002F top-p \u002F context size 可视化调参",[39,54370,54371,54374],{},[42,54372,54373],{},"多模型并存 \u002F 切换","：同时加载多模型在不同会话中比较",[39,54376,54377,5072,54380,54383],{},[42,54378,54379],{},"OpenAI 兼容 Local Server",[204,54381,54382],{},"http:\u002F\u002Flocalhost:1234\u002Fv1","，任何 SDK 即接即用",[39,54385,54386,5072,54389,54392],{},[42,54387,54388],{},"Headless \u002F CLI",[204,54390,54391],{},"lms server start --port 1234","，无 GUI 可跑",[39,54394,54395,54398],{},[42,54396,54397],{},"PDF \u002F 文档对话","：内置基础 RAG，丢文件就能聊",[39,54400,54401,54404],{},[42,54402,54403],{},"MLX 原生支持（Mac）","：M1+ 上比 GGUF + Metal 快 30–50%",[39,54406,54407,54410],{},[42,54408,54409],{},"持续批处理","：Codersera 2026 测得 50–90 tok\u002Fs（消费级 GPU + 中等模型）",[21,54412,108],{"id":108},[36,54414,54415,54421],{},[39,54416,54417,54420],{},[42,54418,54419],{},"个人 \u002F 评估","：免费，全功能可用",[39,54422,54423,54426],{},[42,54424,54425],{},"商用","：邮件 \u002F 官网联系 LM Studio 团队",[130,54428,54429],{},[26,54430,54431],{},"模型本身免费（开源权重），LM Studio 不抽水任何 token 费用。",[21,54433,54435],{"id":54434},"实测mac-m2-pro-qwen3-coder-7b-gguf-q4_k_m","实测（Mac M2 Pro + Qwen3-Coder-7B GGUF Q4_K_M）",[26,54437,54438],{},[42,54439,143],{},[36,54441,54442,54445,54448,54451,54454],{},[39,54443,54444],{},"模型浏览器极舒服：搜「qwen3-coder」直接列出 GGUF + MLX 各 quant，标硬件兼容度",[39,54446,54447],{},"加载 7B Q4 模型 \u003C 3 秒，生成 ~75 tok\u002Fs",[39,54449,54450],{},"Local Server 开了 Cursor 直接接 baseURL → 本地代码补全零成本",[39,54452,54453],{},"MLX 版同模型 ~110 tok\u002Fs，差距显著",[39,54455,54456],{},"多窗口加载 2 个模型并排测，调 prompt 直观",[26,54458,54459],{},[42,54460,168],{},[36,54462,54463,54466,54469,54472,54475],{},[39,54464,54465],{},"模型库依赖 Hugging Face，国内访问要镜像 \u002F 代理",[39,54467,54468],{},"GPU 显存吃满后会自动 offload 到 CPU，无提示就慢下来",[39,54470,54471],{},"Headless 模式相对 Ollama 偏新，文档稍少",[39,54473,54474],{},"闭源应用（虽免费），不适合企业合规挂钩",[39,54476,54477],{},"中文 UI 可用但部分菜单仍英文",[21,54479,936],{"id":936},[630,54481,54482,54485,54488,54491,54494,54501],{},[39,54483,54484],{},"lmstudio.ai 下载（Mac \u002F Windows \u002F Linux）",[39,54486,54487],{},"打开 → Discover 标签 → 搜模型（如 qwen3-coder、deepseek-v3 GGUF\u002FMLX）→ Download",[39,54489,54490],{},"Chat 标签 → 选模型 → 调参聊天",[39,54492,54493],{},"Local Server 标签 → Start Server → 默认端口 1234",[39,54495,54496,54497,54500],{},"在你的应用里：",[204,54498,54499],{},"baseURL = \"http:\u002F\u002Flocalhost:1234\u002Fv1\"","，API Key 任意",[39,54502,54503,54504],{},"Headless：",[204,54505,54391],{},[21,54507,364],{"id":364},[366,54509,54510,54524],{},[369,54511,54512],{},[372,54513,54514,54516,54518,54520,54522],{},[375,54515,377],{},[375,54517,6966],{},[375,54519,6963],{},[375,54521,53246],{},[375,54523,6998],{},[390,54525,54526,54542,54556,54569,54583,54597,54610,54622],{},[372,54527,54528,54530,54533,54536,54539],{},[395,54529,2367],{},[395,54531,54532],{},"GUI + CLI",[395,54534,54535],{},"CLI Daemon",[395,54537,54538],{},"Docker UI",[395,54540,54541],{},"二进制",[372,54543,54544,54547,54549,54552,54554],{},[395,54545,54546],{},"模型浏览",[395,54548,12077],{},[395,54550,54551],{},"CLI pull",[395,54553,35723],{},[395,54555,20916],{},[372,54557,54558,54561,54563,54565,54567],{},[395,54559,54560],{},"参数调优 GUI",[395,54562,1100],{},[395,54564,426],{},[395,54566,440],{},[395,54568,426],{},[372,54570,54571,54573,54576,54579,54581],{},[395,54572,53574],{},[395,54574,54575],{},"✅ :1234",[395,54577,54578],{},"✅ :11434",[395,54580,1100],{},[395,54582,1100],{},[372,54584,54585,54588,54590,54593,54595],{},[395,54586,54587],{},"MLX (Mac)",[395,54589,1100],{},[395,54591,54592],{},"✅ 0.19+",[395,54594,437],{},[395,54596,437],{},[372,54598,54599,54602,54604,54606,54608],{},[395,54600,54601],{},"多用户并发",[395,54603,443],{},[395,54605,443],{},[395,54607,1100],{},[395,54609,2458],{},[372,54611,54612,54614,54616,54618,54620],{},[395,54613,414],{},[395,54615,53340],{},[395,54617,8343],{},[395,54619,8343],{},[395,54621,8343],{},[372,54623,54624,54626,54628,54630,54632],{},[395,54625,5576],{},[395,54627,10169],{},[395,54629,10650],{},[395,54631,2458],{},[395,54633,2461],{},[21,54635,521],{"id":521},[36,54637,54638,54644,54650,54656,54662],{},[39,54639,54640,54643],{},[42,54641,54642],{},"国内下模型走镜像","：HF 直连慢 \u002F 卡，配 HF_ENDPOINT=hf-mirror.com",[39,54645,54646,54649],{},[42,54647,54648],{},"显存爆 ≠ 报错","：GPU 装不下会无声 offload 到 CPU，关注生成速度，必要时降 quant 或换小模型",[39,54651,54652,54655],{},[42,54653,54654],{},"MLX 优先（Mac M 系列）","：能下 MLX 版就别下 GGUF，速度差距明显",[39,54657,54658,54661],{},[42,54659,54660],{},"Local Server 暴露要谨慎","：默认 0.0.0.0 + 无鉴权，对外开放前加反代 + Bearer",[39,54663,54664,54667],{},[42,54665,54666],{},"闭源合规要核","：企业内部使用前查 license；商用必须联系官方",[21,54669,575],{"id":574},[36,54671,54672,54675,54678,54681,54684,54687,54690],{},[39,54673,54674],{},"✅ 本地 LLM 入门 \u002F 评估",[39,54676,54677],{},"✅ Mac M 系列用户",[39,54679,54680],{},"✅ 想给 Cursor \u002F Cline 接本地 OpenAI 兼容 endpoint",[39,54682,54683],{},"✅ 需要 GUI 调参 \u002F 模型比较",[39,54685,54686],{},"❌ 多用户并发生产服务",[39,54688,54689],{},"❌ 嵌入式 \u002F 边缘设备",[39,54691,54692],{},"❌ 强合规 \u002F 必须开源审计",[21,54694,604],{"id":604},[36,54696,54697,54701,54705,54710],{},[39,54698,54699],{},[610,54700,7201],{"href":7200},[39,54702,54703],{},[610,54704,7213],{"href":7212},[39,54706,54707],{},[610,54708,54709],{"href":53496},"Cherry Studio 评测",[39,54711,54712],{},[610,54713,46973],{"href":46972},[21,54715,628],{"id":628},[630,54717,54718,54725,54732],{},[39,54719,54720,54721],{},"LM Studio 官网 ",[610,54722,54723],{"href":54723,"rel":54724},"https:\u002F\u002Flmstudio.ai\u002F",[639],[39,54726,54727,54728],{},"Codersera — LM Studio Complete Guide 2026 ",[610,54729,54730],{"href":54730,"rel":54731},"https:\u002F\u002Fcodersera.com\u002Fblog\u002Flm-studio-complete-guide-2026\u002F",[639],[39,54733,54734,54735],{},"Codersera — Ollama vs LM Studio vs vLLM vs llama.cpp vs MLX 2026 ",[610,54736,54737],{"href":54737,"rel":54738},"https:\u002F\u002Fcodersera.com\u002Fblog\u002Follama-vs-lm-studio-vs-vllm-vs-llama-cpp-vs-mlx-2026\u002F",[639],{"title":202,"searchDepth":250,"depth":250,"links":54740},[54741,54742,54743,54744,54745,54746,54747,54748,54749,54750],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":54434,"depth":224,"text":54435},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Flm-studio.webp","LM Studio 真实评测：跨平台桌面应用，运行本地 GGUF \u002F MLX 大模型。50–90 tok\u002Fs 持续批处理、OpenAI 兼容本地 API（默认端口 1234）、Headless 模式、Mac \u002F Win 双端。对个人开发者免费，企业咨询。",[54754,54757,54760,54763],{"q":54755,"a":54756},"和 Ollama 怎么选？","LM Studio 是 GUI 优先（模型浏览器 + 参数面板 + 聊天界面），适合个人 \u002F 评估 \u002F 上手。Ollama 是 CLI \u002F Daemon 优先（后台跑 + REST API），适合应用嵌入 \u002F 脚本调用。两者都基于 llama.cpp，在 Mac M 系列上都已用 MLX。",{"q":54758,"a":54759},"支持 MLX 吗？","支持。Mac M1+ 上可加载 MLX 格式模型，速度比 GGUF + Metal 快 30–50%。模型搜索时筛选 MLX 即可。",{"q":54761,"a":54762},"OpenAI 兼容 API 怎么用？","开 Local Server → 默认端口 1234 → `http:\u002F\u002Flocalhost:1234\u002Fv1`。任何 OpenAI SDK 把 baseURL 改这个就能跑本地模型，零代码改动。",{"q":54764,"a":54765},"Headless 模式？","0.3+ 起支持 `lms server start` CLI 启动后台服务，无 GUI 即可跑 OpenAI 兼容 API，适合服务器 \u002F SSH 场景。",[697,696],{},[1349,1348,1350],[54770,54773],{"plan":54419,"price":12512,"features":54771,"notes":54772},"全功能 GUI + Headless API + GGUF\u002FMLX","供个人 \u002F 评估使用",{"plan":54425,"price":54774,"features":54775,"notes":54776},"联系咨询","团队部署 \u002F 商用 license","邮件 \u002F 官网联系","免费（个人 \u002F 评估） \u002F 企业 \u002F 商用咨询",[25341,28001],{"power":257,"ux":264,"price":264,"cn_support":250,"stability":257},{"title":6966,"description":54752},"LM Studio 评测 2026：本地运行开源大模型，图形化界面，AI 模型管理",[54783,54785,54787],{"name":54784,"url":54723,"accessed":732},"LM Studio 官网",{"name":54786,"url":54730,"accessed":732},"Codersera — LM Studio Complete Guide 2026",{"name":54788,"url":54737,"accessed":732},"Codersera — Ollama vs LM Studio vs vLLM 2026","tools\u002Fcoding\u002Flocal\u002Flm-studio","本地 LLM 的 GUI 首选——模型浏览器 + GGUF\u002FMLX 推理 + OpenAI 兼容 API + Mac 原生优化",[2654,54792,53926,54793,54794,54795,28017],"gui","mlx","llama-cpp","mac","Mac \u002F Windows 桌面本地 LLM 的 GUI 首选——上手最快、模型浏览最舒服、自带 OpenAI 兼容 API。批量服务 \u002F 多用户场景用 vLLM；纯 CLI \u002F 嵌入应用走 Ollama。","https:\u002F\u002Flmstudio.ai","LobnLABcHoL2A6Bu-tfBMAlwTLq_jKyEJkNmD662RWU",{"id":54800,"title":53241,"alternatives":54801,"api_compatible":16,"body":54802,"category":2654,"chinese_friendly":264,"cover":55236,"description":55237,"domestic":680,"extension":681,"faq":55238,"free":680,"github":16,"languages":55250,"lastVerified":16,"meta":55251,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":53426,"pillar":22297,"platforms":55252,"priceTable":55253,"pricing":55259,"published":720,"relatedPlaybooks":55260,"relatedReviews":16,"score":55261,"self_host":253,"seo":55262,"seoTitle":55263,"slug":53082,"sources":55264,"stem":55271,"suitable":16,"tagline":55272,"tags":55273,"updated":732,"verdict":55275,"website":55276,"__hash__":55277},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Flobe-chat.md",[53510,6742,6740,6741],{"type":18,"value":54803,"toc":55224},[54804,54806,54813,54816,54818,54879,54881,54894,54897,54901,54905,54925,54929,54946,54948,54974,54976,55111,55113,55151,55153,55179,55181,55199,55201],[21,54805,24],{"id":23},[26,54807,54808,54809,54812],{},"LobeChat 是 LobeHub 团队的开源 AI 聊天框架，2023 年发布、GitHub 72k+ stars、MIT 协议。",[42,54810,54811],{},"Web + 桌面 + Docker 自托管三形态","，把 OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek \u002F Qwen \u002F Kimi \u002F Ollama \u002F LM Studio 等 80+ 模型聚合到一个现代设计的客户端里。内置 RAG 知识库 + 插件市场 + 助手市场 + 多模型对比 + MCP，是当下综合最强的多模型 AI 客户端之一。",[26,54814,54815],{},"适合：需要 Web 端访问、Docker 自托管、多模型对比、丰富助手市场的用户；中文重度用户；想给团队 \u002F 家庭部署一个共享 AI 工作台。不适合：只用桌面 + 不需要 Web（Cherry Studio 同样优秀且更精细）、强企业 RBAC + 多租户（Open WebUI 多用户更完善）。",[21,54817,34],{"id":34},[36,54819,54820,54825,54831,54836,54841,54847,54852,54857,54863,54869],{},[39,54821,54822,54824],{},[42,54823,53101],{},"：OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek \u002F Qwen \u002F Kimi \u002F 豆包 \u002F Groq \u002F Together \u002F OpenRouter \u002F Ollama \u002F LM Studio",[39,54826,54827,54830],{},[42,54828,54829],{},"多模型对比","：同 prompt 给多模型并排回答",[39,54832,54833,54835],{},[42,54834,53107],{},"：上传 PDF \u002F Word \u002F 网页 → 向量化 → 检索引用",[39,54837,54838,54840],{},[42,54839,11414],{},"：联网搜索 \u002F 代码执行 \u002F 图像生成 \u002F 翻译等几十款官方插件",[39,54842,54843,54846],{},[42,54844,54845],{},"助手市场","：几百个预设 AI 角色，一键导入",[39,54848,54849,54851],{},[42,54850,24253],{},"：扩展任意工具能力",[39,54853,54854],{},[42,54855,54856],{},"代码解释器 \u002F 文件上传 \u002F TTS \u002F 多模态",[39,54858,54859,54862],{},[42,54860,54861],{},"Web + 桌面 + Docker","：三形态，数据可完全本地",[39,54864,54865,54868],{},[42,54866,54867],{},"LobeHub Cloud","：官方云托管，免部署",[39,54870,54871,54874,54875,54878],{},[42,54872,54873],{},"快捷指令 \u002F 工作流","：自定义 prompt 模板，",[204,54876,54877],{},"\u002Fpodcast-summary"," 类用法",[21,54880,108],{"id":108},[36,54882,54883,54889],{},[39,54884,54885,54888],{},[42,54886,54887],{},"自托管 \u002F 桌面","：完全免费、MIT 开源",[39,54890,54891,54893],{},[42,54892,54867],{},"：订阅制，云端托管 + 团队协作 + 同步",[26,54895,54896],{},"模型 API 费用按你自己的供应商付费；本地 Ollama \u002F LM Studio 零成本。",[21,54898,54900],{"id":54899},"实测m2-自托管-docker连-openai-deepseek-本地-ollama","实测（M2 + 自托管 Docker，连 OpenAI + DeepSeek + 本地 Ollama）",[26,54902,54903],{},[42,54904,143],{},[36,54906,54907,54910,54913,54916,54919,54922],{},[39,54908,54909],{},"界面颜值是这一类工具里第一档（深色 \u002F 透明 \u002F 现代感）",[39,54911,54912],{},"多模型并排对比对选型极其有用：写一道复杂题，Claude \u002F GPT \u002F DeepSeek 直接对比答案",[39,54914,54915],{},"知识库 RAG 上传 50+ PDF 后检索准确，引用片段可视化",[39,54917,54918],{},"助手市场拿来即用——「Code Reviewer」「Translation Polish」节省 prompt 编写",[39,54920,54921],{},"Docker 一键部署，团队 5 人共享流畅",[39,54923,54924],{},"多平台数据同步（Cloud \u002F WebDAV）",[26,54926,54927],{},[42,54928,168],{},[36,54930,54931,54934,54937,54940,54943],{},[39,54932,54933],{},"自托管要熟悉 Docker + 反代 + HTTPS",[39,54935,54936],{},"国内连 OpenAI \u002F Claude 需自带网络方案",[39,54938,54939],{},"Web 版数据存 LobeHub，隐私敏感场景走桌面 \u002F Docker",[39,54941,54942],{},"插件市场质量参差，要自筛",[39,54944,54945],{},"团队多人共享需配 LobeHub Cloud 或自建数据库（Postgres + S3）",[21,54947,936],{"id":936},[630,54949,54950,54953,54959,54962,54965,54968,54971],{},[39,54951,54952],{},"选形态：Web（chat.lobehub.com 注册即用） \u002F 桌面（GitHub Releases 下载） \u002F Docker",[39,54954,54955,54956],{},"Docker：",[204,54957,54958],{},"docker run -d -p 3210:3210 -e OPENAI_API_KEY=sk-xxx --name lobe-chat lobehub\u002Flobe-chat",[39,54960,54961],{},"设置 → AI 服务商 → 添加 OpenAI \u002F Claude \u002F DeepSeek \u002F Ollama",[39,54963,54964],{},"模型选择器测试对话",[39,54966,54967],{},"知识库：拖文件 → 等向量化 → 对话引用",[39,54969,54970],{},"助手市场拉「Code Reviewer」「论文翻译润色」试用",[39,54972,54973],{},"进阶：插件市场启用联网搜索 \u002F 代码执行；MCP 自定义工具",[21,54975,364],{"id":364},[366,54977,54978,54992],{},[369,54979,54980],{},[372,54981,54982,54984,54986,54988,54990],{},[375,54983,377],{},[375,54985,53241],{},[375,54987,53080],{},[375,54989,53246],{},[375,54991,6966],{},[390,54993,54994,55006,55019,55031,55044,55060,55073,55087,55099],{},[372,54995,54996,54998,55000,55002,55004],{},[395,54997,2367],{},[395,54999,54861],{},[395,55001,53255],{},[395,55003,53263],{},[395,55005,53255],{},[372,55007,55008,55010,55013,55015,55017],{},[395,55009,53101],{},[395,55011,55012],{},"✅ 80+",[395,55014,1100],{},[395,55016,1100],{},[395,55018,53275],{},[372,55020,55021,55023,55025,55027,55029],{},[395,55022,54829],{},[395,55024,40875],{},[395,55026,1100],{},[395,55028,443],{},[395,55030,443],{},[372,55032,55033,55035,55037,55039,55042],{},[395,55034,16692],{},[395,55036,1100],{},[395,55038,1100],{},[395,55040,55041],{},"✅ + oikb",[395,55043,443],{},[372,55045,55046,55049,55052,55055,55058],{},[395,55047,55048],{},"插件 \u002F 助手市场",[395,55050,55051],{},"✅ 丰富",[395,55053,55054],{},"300+ 助手",[395,55056,55057],{},"Tools",[395,55059,443],{},[372,55061,55062,55064,55066,55068,55071],{},[395,55063,1850],{},[395,55065,1100],{},[395,55067,1100],{},[395,55069,55070],{},"✅ mcpo",[395,55072,443],{},[372,55074,55075,55078,55081,55083,55085],{},[395,55076,55077],{},"多用户",[395,55079,55080],{},"配 Cloud \u002F 自建",[395,55082,35723],{},[395,55084,40875],{},[395,55086,35723],{},[372,55088,55089,55091,55093,55095,55097],{},[395,55090,53347],{},[395,55092,53353],{},[395,55094,53350],{},[395,55096,53358],{},[395,55098,437],{},[372,55100,55101,55103,55105,55107,55109],{},[395,55102,53332],{},[395,55104,8343],{},[395,55106,53335],{},[395,55108,8343],{},[395,55110,53340],{},[21,55112,521],{"id":521},[36,55114,55115,55121,55127,55133,55139,55145],{},[39,55116,55117,55120],{},[42,55118,55119],{},"Web 版数据不本地","：隐私敏感选桌面或 Docker 自托管",[39,55122,55123,55126],{},[42,55124,55125],{},"国内连海外模型走中转","：直连 OpenAI \u002F Claude 不稳，配 OpenRouter \u002F Ofox \u002F 国内中转",[39,55128,55129,55132],{},[42,55130,55131],{},"Docker 自托管暴露公网","：上反代 + HTTPS + Auth + 备份数据库",[39,55134,55135,55138],{},[42,55136,55137],{},"嵌入模型中文优化","：默认嵌入对中文一般，配 bge-m3 \u002F 硅基流动 Pro 版",[39,55140,55141,55144],{},[42,55142,55143],{},"插件市场审一遍","：第三方插件可执行代码，团队部署谨慎启用",[39,55146,55147,55150],{},[42,55148,55149],{},"同步选 Cloud vs WebDAV","：团队多端走 LobeHub Cloud；个人多设备 WebDAV 即可",[21,55152,575],{"id":574},[36,55154,55155,55158,55161,55164,55167,55170,55173,55176],{},[39,55156,55157],{},"✅ Web + 桌面双形态需求",[39,55159,55160],{},"✅ Docker 自托管 \u002F 团队共享",[39,55162,55163],{},"✅ 多模型对比 \u002F 选型",[39,55165,55166],{},"✅ 中文重度用户",[39,55168,55169],{},"✅ 助手市场 \u002F 插件生态用户",[39,55171,55172],{},"❌ 强企业 RBAC + 多租户（Open WebUI 更完善）",[39,55174,55175],{},"❌ 只要桌面 + 数据完全本地（Cherry Studio 同样优秀）",[39,55177,55178],{},"❌ 完全不会碰 Docker",[21,55180,604],{"id":604},[36,55182,55183,55187,55191,55195],{},[39,55184,55185],{},[610,55186,54709],{"href":53496},[39,55188,55189],{},[610,55190,7213],{"href":7212},[39,55192,55193],{},[610,55194,7201],{"href":7200},[39,55196,55197],{},[610,55198,53441],{"href":53440},[21,55200,628],{"id":628},[630,55202,55203,55210,55217],{},[39,55204,55205,55206],{},"LobeChat GitHub 仓库（72k+ stars，MIT）",[610,55207,55208],{"href":55208,"rel":55209},"https:\u002F\u002Fgithub.com\u002Flobehub\u002Flobe-chat",[639],[39,55211,55212,55213],{},"腾讯云开发者社区 — Lobe Chat 本地化 AI 聊天终极桌面客户端（2026-01）",[610,55214,55215],{"href":55215,"rel":55216},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2622150",[639],[39,55218,55219,55220],{},"Ofox.ai — LobeChat 完全配置指南 2026（2026-04-17）",[610,55221,55222],{"href":55222,"rel":55223},"https:\u002F\u002Fofox.ai\u002Fzh\u002Fblog\u002Flobechat-api-configuration-guide-2026",[639],{"title":202,"searchDepth":250,"depth":250,"links":55225},[55226,55227,55228,55229,55230,55231,55232,55233,55234,55235],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":54899,"depth":224,"text":54900},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Flobe-chat.webp","LobeChat 真实评测：LobeHub 团队开源 AI 聊天框架，GitHub 72k+ stars、MIT 协议。Web + 桌面（Win\u002FMac\u002FLinux\u002FDocker）双形态，支持 OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek \u002F Qwen \u002F Ollama 等 80+ 模型，内置 RAG 知识库 + 插件市场 + 助手市场 + 多模型对比。",[55239,55242,55244,55247],{"q":55240,"a":55241},"Web 版 vs 桌面版 vs Docker 自托管，怎么选？","Web 版（chat.lobehub.com）最快上手但数据存 LobeHub 服务器；桌面版数据本地存、隐私好；Docker 自托管对团队 \u002F 公司部署最优，完全掌控数据。",{"q":22910,"a":55243},"80+ 模型：OpenAI 全系列、Anthropic Claude、Google Gemini、DeepSeek、Qwen、Kimi、Moonshot、字节豆包、Groq、Together、OpenRouter、Ollama \u002F LM Studio 本地模型，以及任何 OpenAI 兼容 API。",{"q":55245,"a":55246},"多模型对比怎么用？","同一对话窗口里把消息广播给多个模型并排回答，选型 \u002F 评估特别有用——直接看 Claude 和 GPT 在同一 prompt 下的回答差异。",{"q":55248,"a":55249},"助手市场是什么？","LobeHub 维护的预设 AI 角色市场（代码审查 \u002F 翻译 \u002F 写作 \u002F 角色扮演等几百个），一键拉到本地用，省去自己写 System Prompt。",[696,697],{},[704,1349,1348,1350,2861],[55254,55256],{"plan":54887,"price":12512,"features":55255,"notes":8013},"全功能 \u002F 80+ 模型 \u002F 知识库 \u002F 插件 \u002F 助手市场",{"plan":54867,"price":50799,"features":55257,"notes":55258},"云端托管 \u002F 免部署 \u002F 团队协作 \u002F 同步","chat.lobehub.com 注册即用","完全免费（MIT 开源） \u002F LobeHub Cloud 订阅",[25341,28001],{"power":264,"ux":264,"price":264,"cn_support":264,"stability":257},{"title":53241,"description":55237},"LobeChat - 开源 AI 聊天框架评测与部署 | AIHO",[55265,55267,55269],{"name":55266,"url":55208,"accessed":732},"LobeChat GitHub",{"name":55268,"url":55215,"accessed":732},"腾讯云开发者社区 — Lobe Chat 终极桌面客户端",{"name":55270,"url":55222,"accessed":732},"Ofox.ai — LobeChat 完全配置指南 2026","tools\u002Fcoding\u002Flocal\u002Flobe-chat","现代设计的开源 AI 聊天框架——Web + 桌面双形态、72k+ stars、多模型 + 知识库 + 插件市场",[2654,704,677,2153,10423,55274,1392,40501],"plugin","颜值与功能双优的多模型 AI 聊天客户端。要 Web + 桌面双形态、自托管 Docker、多模型对比、丰富助手市场——LobeChat 是综合最强；纯桌面体验 Cherry Studio 同样优秀。","https:\u002F\u002Flobehub.com","zXTKiUcNATcrx3M_OoChdSfMOK8DHdQfiQ4Y7Ebo0_0",{"id":55279,"title":6963,"alternatives":55280,"api_compatible":16,"body":55281,"category":2654,"chinese_friendly":250,"cover":55692,"description":55693,"domestic":680,"extension":681,"faq":55694,"free":680,"github":16,"languages":55707,"lastVerified":16,"meta":55708,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":7200,"pillar":22297,"platforms":55709,"priceTable":55710,"pricing":55714,"published":720,"relatedPlaybooks":55715,"relatedReviews":16,"score":55716,"self_host":253,"seo":55717,"seoTitle":55718,"slug":6740,"sources":55719,"stem":55725,"suitable":16,"tagline":55726,"tags":55727,"updated":732,"verdict":55731,"website":55732,"__hash__":55733},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Follama.md",[6741,6742,53510,53082],{"type":18,"value":55282,"toc":55680},[55283,55285,55292,55295,55297,55362,55364,55367,55371,55375,55395,55399,55429,55431,55465,55467,55578,55580,55612,55614,55637,55639,55657,55659],[21,55284,24],{"id":23},[26,55286,55287,55288,55291],{},"Ollama 是本地 LLM 的 Daemon 事实标准——后台跑、暴露 REST API（11434）+ CLI、Modelfile 配置、GGUF 一站式。MIT 开源，跨 Win \u002F Mac \u002F Linux。0.19+ 起 Mac M 系列底层切 MLX 推理。模型库覆盖 Llama \u002F Qwen \u002F DeepSeek \u002F Gemma \u002F Mistral 等主流开源模型，",[204,55289,55290],{},"ollama pull"," 一键拉。",[26,55293,55294],{},"适合：给 Cursor \u002F Cline \u002F Continue \u002F Open WebUI 接本地 OpenAI 兼容 endpoint、个人 \u002F 评估 \u002F 原型、嵌入应用、自动化脚本。不适合：GUI 偏好用户（用 LM Studio）、多用户并发生产服务（用 vLLM）、模型浏览 \u002F 调参界面（用 LM Studio）。",[21,55296,34],{"id":34},[36,55298,55299,55305,55312,55318,55325,55339,55345,55351,55357],{},[39,55300,55301,55304],{},[42,55302,55303],{},"后台 Daemon","：开机自启，应用调用零延迟",[39,55306,55307,5072,55309],{},[42,55308,2370],{},[204,55310,55311],{},"ollama pull \u002F run \u002F list \u002F show \u002F create \u002F serve",[39,55313,55314,55317],{},[42,55315,55316],{},"Modelfile","：类 Dockerfile 注册任意 GGUF，配 SYSTEM \u002F PARAMETER \u002F TEMPLATE",[39,55319,55320,5072,55322],{},[42,55321,53574],{},[204,55323,55324],{},"http:\u002F\u002Flocalhost:11434\u002Fv1\u002Fchat\u002Fcompletions",[39,55326,55327,5072,55330,5379,55333,5379,55336],{},[42,55328,55329],{},"原生 API",[204,55331,55332],{},"\u002Fapi\u002Fchat",[204,55334,55335],{},"\u002Fapi\u002Fgenerate",[204,55337,55338],{},"\u002Fapi\u002Fembeddings",[39,55340,55341,55344],{},[42,55342,55343],{},"模型库","：官方注册表内置 Llama \u002F Qwen \u002F DeepSeek \u002F Gemma \u002F Mistral \u002F GPT-OSS 等",[39,55346,55347,55350],{},[42,55348,55349],{},"MLX 加速（Mac）","：0.19+ 起 M 系列自动用 MLX",[39,55352,55353,55356],{},[42,55354,55355],{},"量化","：默认 Q4_K_M、支持 Q5 \u002F Q8 \u002F FP16",[39,55358,55359,55361],{},[42,55360,409],{},"：Win \u002F Mac \u002F Linux 安装包，Docker 官方镜像",[21,55363,108],{"id":108},[26,55365,55366],{},"完全免费、MIT 开源、商用免费。",[21,55368,55370],{"id":55369},"实测m2-pro-qwen3-coder-7b-q4","实测（M2 Pro + Qwen3-Coder-7B Q4）",[26,55372,55373],{},[42,55374,143],{},[36,55376,55377,55383,55386,55389,55392],{},[39,55378,55379,55382],{},[204,55380,55381],{},"ollama run qwen3-coder:7b"," 一行起飞，3 秒进交互",[39,55384,55385],{},"REST API 配 Cursor \u002F Cline \u002F Continue 几乎全工具开箱即用",[39,55387,55388],{},"Modelfile 写自定义编码助手（low temperature + system prompt + 16K context）几分钟搞定",[39,55390,55391],{},"多模型并存，按需切换，内存占用合理",[39,55393,55394],{},"Mac M 系列 MLX 后比旧 GGUF 模式快显著",[26,55396,55397],{},[42,55398,168],{},[36,55400,55401,55410,55416,55423,55426],{},[39,55402,55403,55404,55406,55407],{},"默认 ",[204,55405,33306],{}," 偏小（2048），跑长上下文要在 Modelfile 加 ",[204,55408,55409],{},"PARAMETER num_ctx 16384",[39,55411,55412,55413],{},"模型默认走 0.0.0.0:11434 ↔ Docker 容器互访要 ",[204,55414,55415],{},"--add-host=host.docker.internal:host-gateway",[39,55417,55418,55419,55422],{},"国内 ",[204,55420,55421],{},"ollama.com\u002Flibrary"," 下载偶有慢，可手动 HF 下 GGUF + Modelfile 自建",[39,55424,55425],{},"多用户并发吞吐显著低于 vLLM",[39,55427,55428],{},"没有 GUI，模型浏览 \u002F 参数面板要走 LM Studio \u002F Open WebUI 配合",[21,55430,936],{"id":936},[630,55432,55433,55439,55445,55450,55456,55462],{},[39,55434,55435,55438],{},[204,55436,55437],{},"curl -fsSL https:\u002F\u002Follama.ai\u002Finstall.sh | sh","（Mac \u002F Linux）；Windows winget",[39,55440,55441,55444],{},[204,55442,55443],{},"ollama pull qwen3-coder:7b","（按需换模型）",[39,55446,55447,55449],{},[204,55448,55381],{}," 直接聊",[39,55451,55452,55453],{},"应用接入：baseURL = ",[204,55454,55455],{},"http:\u002F\u002Flocalhost:11434\u002Fv1",[39,55457,55458,55459],{},"自定义：写 Modelfile → ",[204,55460,55461],{},"ollama create my-coder -f Modelfile",[39,55463,55464],{},"进阶：装 Open WebUI 做前端 \u002F 多人共享",[21,55466,364],{"id":364},[366,55468,55469,55483],{},[369,55470,55471],{},[372,55472,55473,55475,55477,55479,55481],{},[375,55474,377],{},[375,55476,6963],{},[375,55478,6966],{},[375,55480,2597],{},[375,55482,6998],{},[390,55484,55485,55501,55513,55526,55538,55554,55566],{},[372,55486,55487,55489,55492,55495,55498],{},[395,55488,2367],{},[395,55490,55491],{},"CLI + Daemon",[395,55493,55494],{},"GUI + Headless",[395,55496,55497],{},"Python Server",[395,55499,55500],{},"C++ 二进制",[372,55502,55503,55505,55507,55509,55511],{},[395,55504,936],{},[395,55506,10169],{},[395,55508,10169],{},[395,55510,2458],{},[395,55512,2461],{},[372,55514,55515,55517,55519,55522,55524],{},[395,55516,54546],{},[395,55518,2370],{},[395,55520,55521],{},"✅ GUI",[395,55523,35723],{},[395,55525,35723],{},[372,55527,55528,55530,55532,55534,55536],{},[395,55529,27790],{},[395,55531,54578],{},[395,55533,54575],{},[395,55535,1100],{},[395,55537,1100],{},[372,55539,55540,55543,55546,55549,55552],{},[395,55541,55542],{},"多用户吞吐",[395,55544,55545],{},"弱（~40 tok\u002Fs）",[395,55547,55548],{},"中（50–90）",[395,55550,55551],{},"强（800–12500）",[395,55553,2458],{},[372,55555,55556,55558,55560,55562,55564],{},[395,55557,54587],{},[395,55559,54592],{},[395,55561,1100],{},[395,55563,440],{},[395,55565,437],{},[372,55567,55568,55570,55572,55574,55576],{},[395,55569,414],{},[395,55571,8343],{},[395,55573,420],{},[395,55575,1899],{},[395,55577,8343],{},[21,55579,521],{"id":521},[36,55581,55582,55588,55594,55600,55606],{},[39,55583,55584,55587],{},[42,55585,55586],{},"num_ctx 一定要设","：默认 2K 太小，跑代码 \u002F 长文档要 16K+",[39,55589,55590,55593],{},[42,55591,55592],{},"Modelfile 模板别漏 TEMPLATE","：错的 chat template 会让模型输出乱码 \u002F 不停",[39,55595,55596,55599],{},[42,55597,55598],{},"KV cache 爆表 = 速度悬崖","：32B 模型 32K 上下文，KV cache 可能 12+ GB，超显存自动 offload 慢 10×",[39,55601,55602,55605],{},[42,55603,55604],{},"不要 0.0.0.0 直接对公网","：默认无鉴权，对外暴露走反代 + Bearer \u002F mTLS",[39,55607,55608,55611],{},[42,55609,55610],{},"Mac 让它自动用 MLX","：升 0.19+；不要手动强制 GGUF + Metal",[21,55613,575],{"id":574},[36,55615,55616,55619,55622,55625,55628,55631,55634],{},[39,55617,55618],{},"✅ 应用 \u002F IDE 接本地模型（Cursor \u002F Cline \u002F Continue）",[39,55620,55621],{},"✅ 个人 \u002F 评估 \u002F 脚本自动化",[39,55623,55624],{},"✅ Modelfile 自定义系统 prompt + 参数",[39,55626,55627],{},"✅ Mac M 系列 MLX 用户",[39,55629,55630],{},"❌ 多用户并发生产服务（用 vLLM）",[39,55632,55633],{},"❌ GUI 调参 \u002F 模型浏览（配 LM Studio \u002F Open WebUI）",[39,55635,55636],{},"❌ 极致单卡吞吐研究（直接 llama.cpp \u002F vLLM）",[21,55638,604],{"id":604},[36,55640,55641,55645,55649,55653],{},[39,55642,55643],{},[610,55644,7207],{"href":7206},[39,55646,55647],{},[610,55648,7213],{"href":7212},[39,55650,55651],{},[610,55652,54709],{"href":53496},[39,55654,55655],{},[610,55656,53441],{"href":53440},[21,55658,628],{"id":628},[630,55660,55661,55668,55675],{},[39,55662,55663,55664],{},"Markaicode — Import GGUF Models into Ollama 2026（2026-05-15）",[610,55665,55666],{"href":55666,"rel":55667},"https:\u002F\u002Fmarkaicode.com\u002Fimport-gguf-models-ollama-guide",[639],[39,55669,55670,55671],{},"ComputingForGeeks — Ollama Models Cheat Sheet 2026 ",[610,55672,55673],{"href":55673,"rel":55674},"https:\u002F\u002Fcomputingforgeeks.com\u002Follama-models-cheat-sheet",[639],[39,55676,54734,55677],{},[610,55678,54737],{"href":54737,"rel":55679},[639],{"title":202,"searchDepth":250,"depth":250,"links":55681},[55682,55683,55684,55685,55686,55687,55688,55689,55690,55691],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":55369,"depth":224,"text":55370},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Follama.webp","Ollama 真实评测：本地 LLM 的事实标准 Daemon，CLI + REST API，模型库 + Modelfile + GGUF 一站式。0.19+ 在 Mac M 系列用 MLX 加速；OpenAI 兼容端点 11434；MIT 开源 + 跨平台。",[55695,55698,55701,55704],{"q":55696,"a":55697},"和 LM Studio 怎么选？","Ollama = Daemon + CLI，开机自启在 11434 端口跑，应用 \u002F IDE 调它最方便。LM Studio = GUI，模型浏览 \u002F 调参 \u002F 聊天体验更好。两者底层都基于 llama.cpp，Mac M 系列上都已切 MLX。",{"q":55699,"a":55700},"Modelfile 是什么？","类 Dockerfile 的模型配置：`FROM .\u002Fxxx.gguf` + PARAMETER \u002F TEMPLATE \u002F SYSTEM。把任意 GGUF 注册成本地模型供调用。`ollama create my-model -f Modelfile`。",{"q":55702,"a":55703},"OpenAI 兼容端点？","`http:\u002F\u002Flocalhost:11434\u002Fv1`。任何 OpenAI SDK 改 baseURL 即用。也可走原生 `\u002Fapi\u002Fchat`、`\u002Fapi\u002Fgenerate`。",{"q":55705,"a":55706},"并发能力？","单用户原型场景顺滑（~40 tok\u002Fs peak），多用户并发明显不如 vLLM（vLLM 的 PagedAttention + 连续批处理高 16–20×）。生产并发选 vLLM。",[697],{},[1349,1348,1350,2861],[55711],{"plan":5722,"price":12512,"features":55712,"notes":55713},"完整 CLI + REST API + Modelfile + 模型库 + MIT 协议","全平台、商用免费","完全免费 + 开源（MIT）",[25341,28001],{"power":257,"ux":257,"price":264,"cn_support":250,"stability":264},{"title":6963,"description":55693},"Ollama 评测 2026：本地运行大模型，开源 AI 模型管理工具，私有化部署指南",[55720,55722,55724],{"name":55721,"url":55666,"accessed":732},"Markaicode — Import GGUF 2026",{"name":55723,"url":55673,"accessed":732},"ComputingForGeeks — Ollama Cheat Sheet 2026",{"name":54788,"url":54737,"accessed":732},"tools\u002Fcoding\u002Flocal\u002Follama","本地 LLM 的 Daemon——CLI + REST API 后台跑，给 Cursor \u002F Cline \u002F Open WebUI 接本地模型最低门槛",[2654,55728,22301,55729,55730,53926,54793,28017,40501],"daemon","rest-api","modelfile","本地 LLM 的 Daemon 事实标准，CLI \u002F Modelfile \u002F REST API 三件套配合最广泛。GUI 偏好用户走 LM Studio；多用户并发生产用 vLLM；其他场景几乎默认 Ollama。","https:\u002F\u002Follama.com","7WgXNX9uMzSH_c-dUkicVopZk_g1z8HaB_8FmD9fBps",{"id":55735,"title":53246,"alternatives":55736,"api_compatible":16,"body":55737,"category":2654,"chinese_friendly":257,"cover":56146,"description":56147,"domestic":680,"extension":681,"faq":56148,"free":680,"github":16,"languages":56161,"lastVerified":16,"meta":56162,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":7212,"pillar":22297,"platforms":56163,"priceTable":56164,"pricing":56170,"published":720,"relatedPlaybooks":56171,"relatedReviews":16,"score":56172,"self_host":253,"seo":56173,"seoTitle":56174,"slug":6742,"sources":56175,"stem":56182,"suitable":16,"tagline":56183,"tags":56184,"updated":732,"verdict":56185,"website":56186,"__hash__":56187},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui.md",[53082,53510,6740,6741],{"type":18,"value":55738,"toc":56134},[55739,55741,55744,55747,55749,55809,55811,55814,55818,55822,55849,55853,55877,55879,55912,55914,56019,56021,56064,56066,56089,56091,56109,56111],[21,55740,24],{"id":23},[26,55742,55743],{},"Open WebUI（原 Ollama WebUI）是 MIT 开源、自托管 AI 平台，最常见用法是 Docker 跑起来给 Ollama 套一个 ChatGPT 风格前端。GitHub 126k+ stars、282M+ Docker pulls，事实上的本地 AI 前端首选。支持任意 OpenAI 兼容后端 + RAG 知识库 + 多用户账号 + 工具调用 + MCP-OpenAPI 代理 + 联网搜索 + 语音 + 图像生成。",[26,55745,55746],{},"适合：团队 \u002F 家庭 \u002F 公司部署一份共享、要 Web 端访问、多用户分账号、SearXNG 联网搜索、Confluence \u002F S3 \u002F GitHub 数据源同步。不适合：单人桌面体验（用 Cherry Studio）、零运维 \u002F 不愿碰 Docker。",[21,55748,34],{"id":34},[36,55750,55751,55757,55763,55768,55774,55780,55786,55792,55797,55803],{},[39,55752,55753,55756],{},[42,55754,55755],{},"多模型后端","：Ollama \u002F OpenAI \u002F vLLM \u002F Anthropic \u002F Groq \u002F LocalAI \u002F 任意 OpenAI 兼容",[39,55758,55759,55762],{},[42,55760,55761],{},"多用户 + RBAC","：注册 \u002F 邀请 \u002F 角色权限 \u002F 工作区隔离",[39,55764,55765,55767],{},[42,55766,12393],{},"：上传文档 \u002F 网址 \u002F SearXNG 联网搜索 → 向量化 → 对话引用",[39,55769,55770,55773],{},[42,55771,55772],{},"Tools \u002F Functions","：Python 写函数即扩展（联网 \u002F 计算器 \u002F 自定义 API）",[39,55775,55776,55779],{},[42,55777,55778],{},"mcpo","：MCP-to-OpenAPI 代理，任意 MCP 服务器接进来",[39,55781,55782,55785],{},[42,55783,55784],{},"oikb","：知识库同步本地文件夹 \u002F GitHub \u002F S3 \u002F Confluence 等 40+ 源",[39,55787,55788,55791],{},[42,55789,55790],{},"open-terminal \u002F cptr","：给 AI 真实终端 + 文件 + 沙箱执行",[39,55793,55794,55796],{},[42,55795,11079],{},"：Stable Diffusion \u002F DALL·E \u002F 自托管接入",[39,55798,55799,55802],{},[42,55800,55801],{},"语音输入 \u002F TTS","：内置",[39,55804,55805,55808],{},[42,55806,55807],{},"企业 LTS","：custom branding + SLA + 长期支持版本（联系销售）",[21,55810,108],{"id":108},[26,55812,55813],{},"完全免费、MIT 开源、商用免费。Enterprise 提供品牌定制 + SLA + LTS。",[21,55815,55817],{"id":55816},"实测ubuntu-2404-ollama-后端-5-人小团队","实测（Ubuntu 24.04 + Ollama 后端 + 5 人小团队）",[26,55819,55820],{},[42,55821,143],{},[36,55823,55824,55830,55833,55840,55843,55846],{},[39,55825,55826,55827,55829],{},"单条 ",[204,55828,18229],{}," 五分钟上线",[39,55831,55832],{},"自带的多用户 + 角色权限省去重新搭 Auth",[39,55834,55835,55836,55839],{},"RAG 直传 30 个 PDF 后向量化顺利，对话中 ",[204,55837,55838],{},"#知识库"," 引用准确",[39,55841,55842],{},"mcpo 把 GitHub MCP 服务器接进来，团队对话里直接 issue \u002F PR 操作",[39,55844,55845],{},"模型切换流畅，OpenAI + Ollama 并存",[39,55847,55848],{},"SearXNG 联网搜索给模型实时信息，过时知识截止问题缓解",[26,55850,55851],{},[42,55852,168],{},[36,55854,55855,55858,55864,55871,55874],{},[39,55856,55857],{},"Docker 镜像 ~1.5GB，首次拉取偏慢",[39,55859,55403,55860,55863],{},[204,55861,55862],{},"0.0.0.0"," 公网暴露要加 HTTPS + 反代",[39,55865,55866,55867,55870],{},"嵌入模型 ",[204,55868,55869],{},"sentence-transformers"," 中文效果一般，建议换 bge-m3",[39,55872,55873],{},"多用户共享 Ollama 时并发吞吐瓶颈在 Ollama，不在 Open WebUI（生产用 vLLM 后端）",[39,55875,55876],{},"版本升级要看 changelog，部分 minor 含 breaking 改动",[21,55878,936],{"id":936},[630,55880,55881,55887,55893,55896,55899,55902,55905],{},[39,55882,55883,55884],{},"装 Docker → ",[204,55885,55886],{},"docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:\u002Fapp\u002Fbackend\u002Fdata --name open-webui --restart always ghcr.io\u002Fopen-webui\u002Fopen-webui:main",[39,55888,55889,55890,55892],{},"浏览器开 ",[204,55891,14541],{}," → 注册第一个账号（管理员）",[39,55894,55895],{},"设置 → Connections → 连接 Ollama \u002F 加 OpenAI Key",[39,55897,55898],{},"Models → Pull \u002F Discover 模型",[39,55900,55901],{},"Workspaces → 建知识库 → 上传文档",[39,55903,55904],{},"Tools → 启用 \u002F 写自定义函数",[39,55906,55907,55908,55911],{},"生产部署：Nginx 反代 + Let's Encrypt + 备份 ",[204,55909,55910],{},"\u002Fapp\u002Fbackend\u002Fdata"," volume",[21,55913,364],{"id":364},[366,55915,55916,55930],{},[369,55917,55918],{},[372,55919,55920,55922,55924,55926,55928],{},[375,55921,377],{},[375,55923,53246],{},[375,55925,53241],{},[375,55927,53080],{},[375,55929,6966],{},[390,55931,55932,55944,55956,55969,55982,55995,56007],{},[372,55933,55934,55936,55938,55940,55942],{},[395,55935,2367],{},[395,55937,53263],{},[395,55939,53258],{},[395,55941,53255],{},[395,55943,53255],{},[372,55945,55946,55948,55950,55952,55954],{},[395,55947,55077],{},[395,55949,40875],{},[395,55951,1100],{},[395,55953,35723],{},[395,55955,35723],{},[372,55957,55958,55960,55963,55965,55967],{},[395,55959,11634],{},[395,55961,55962],{},"✅ 强 + oikb",[395,55964,1100],{},[395,55966,1100],{},[395,55968,443],{},[372,55970,55971,55974,55976,55978,55980],{},[395,55972,55973],{},"工具 \u002F MCP",[395,55975,55070],{},[395,55977,1100],{},[395,55979,1100],{},[395,55981,443],{},[372,55983,55984,55986,55989,55991,55993],{},[395,55985,7433],{},[395,55987,55988],{},"✅ Docker \u002F K8s",[395,55990,15183],{},[395,55992,35723],{},[395,55994,35723],{},[372,55996,55997,55999,56001,56003,56005],{},[395,55998,53347],{},[395,56000,53358],{},[395,56002,53353],{},[395,56004,53350],{},[395,56006,437],{},[372,56008,56009,56011,56013,56015,56017],{},[395,56010,53332],{},[395,56012,8343],{},[395,56014,8343],{},[395,56016,53335],{},[395,56018,53340],{},[21,56020,521],{"id":521},[36,56022,56023,56029,56037,56046,56052,56058],{},[39,56024,56025,56028],{},[42,56026,56027],{},"不要裸 0.0.0.0 + HTTP 暴露公网","：默认无 HTTPS，必上反代 + 强密码 + 速率限制",[39,56030,56031,56036],{},[42,56032,56033,56034,55911],{},"备份 ",[204,56035,55910],{},"：知识库 \u002F 用户 \u002F 对话全在里面",[39,56038,56039,56042,56043,56045],{},[42,56040,56041],{},"中文 RAG 换嵌入模型","：默认 ",[204,56044,55869],{}," 中文一般，配 bge-m3 或硅基流动嵌入 API",[39,56047,56048,56051],{},[42,56049,56050],{},"mcpo 工具范围谨慎","：MCP 给 AI 真实能力，第三方服务器审一遍",[39,56053,56054,56057],{},[42,56055,56056],{},"后端吞吐看 Ollama","：5+ 并发上 vLLM 后端，Ollama 单 worker 会排队",[39,56059,56060,56063],{},[42,56061,56062],{},"升级前看 changelog","：weekly 更新，偶有 breaking",[21,56065,575],{"id":574},[36,56067,56068,56071,56074,56077,56080,56083,56086],{},[39,56069,56070],{},"✅ 团队 \u002F 家庭 \u002F 公司多人共享 AI 平台",[39,56072,56073],{},"✅ 要 Web 端访问 \u002F 移动端兼容",[39,56075,56076],{},"✅ 自托管 \u002F 完全控制数据",[39,56078,56079],{},"✅ MCP \u002F 工具调用刚需",[39,56081,56082],{},"❌ 单人桌面体验（用 Cherry Studio）",[39,56084,56085],{},"❌ 零运维 \u002F 不愿碰 Docker",[39,56087,56088],{},"❌ iOS 原生 App 主力",[21,56090,604],{"id":604},[36,56092,56093,56097,56101,56105],{},[39,56094,56095],{},[610,56096,53427],{"href":53426},[39,56098,56099],{},[610,56100,54709],{"href":53496},[39,56102,56103],{},[610,56104,7201],{"href":7200},[39,56106,56107],{},[610,56108,53441],{"href":53440},[21,56110,628],{"id":628},[630,56112,56113,56120,56127],{},[39,56114,56115,56116],{},"Open WebUI 官方文档 ",[610,56117,56118],{"href":56118,"rel":56119},"https:\u002F\u002Fdocs.openwebui.com\u002F",[639],[39,56121,56122,56123],{},"Local AI Master — Open WebUI Setup Guide 2026 ",[610,56124,56125],{"href":56125,"rel":56126},"https:\u002F\u002Flocalaimaster.com\u002Fblog\u002Fopen-webui-setup-guide",[639],[39,56128,56129,56130],{},"AIToolDiscovery — Set Up Open-WebUI with Ollama 2026 ",[610,56131,56132],{"href":56132,"rel":56133},"https:\u002F\u002Fwww.aitooldiscovery.com\u002Fhow-to\u002Fsetup-open-webui-ollama",[639],{"title":202,"searchDepth":250,"depth":250,"links":56135},[56136,56137,56138,56139,56140,56141,56142,56143,56144,56145],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":55816,"depth":224,"text":55817},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopen-webui.webp","Open WebUI 2026 真实评测：MIT 开源、自托管 ChatGPT 替代和 Ollama Web 前端。支持 Docker 一行部署、Ollama\u002FOpenAI\u002FvLLM 多后端、RAG 知识库、多用户、联网搜索、工具调用和 MCP-to-OpenAPI，适合团队私有 AI 平台。",[56149,56152,56155,56158],{"q":56150,"a":56151},"Docker 一行命令真的够用吗？","够。`docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:\u002Fapp\u002Fbackend\u002Fdata --name open-webui --restart always ghcr.io\u002Fopen-webui\u002Fopen-webui:main`，5 分钟可上线、能多人注册、能接 Ollama \u002F OpenAI。生产再加反代 + HTTPS + 备份。",{"q":56153,"a":56154},"支持哪些模型后端？","Ollama（首选）+ 任何 OpenAI 兼容 endpoint：OpenAI 官方 \u002F Anthropic（OpenAI 兼容代理）\u002F vLLM \u002F Groq \u002F LocalAI \u002F 自建 baseURL。可同时配多个，对话中切换。",{"q":56156,"a":56157},"RAG \u002F 知识库怎么做？","内置：上传 PDF \u002F DOCX \u002F TXT、网址抓取、SearXNG 联网搜索 → 自动向量化 → 在对话中 `#` 引用知识库。配套 oikb 项目可同步本地文件夹 \u002F GitHub \u002F S3 \u002F Confluence 等 40+ 数据源。",{"q":56159,"a":56160},"MCP 怎么接？","通过 mcpo（官方的 MCP-to-OpenAPI 代理）把任意 MCP 服务器暴露成 OpenAPI 工具，再在 Open WebUI 注册即可。无需写 glue code。",[697,696],{},[2861,1350,1348,1349,27336],[56165,56167],{"plan":5722,"price":12512,"features":56166,"notes":8013},"全功能 \u002F 多用户 \u002F RAG \u002F Tools \u002F 联网搜索 \u002F MCP-OpenAPI 代理 \u002F Docker \u002F K8s",{"plan":833,"price":47045,"features":56168,"notes":56169},"Custom branding \u002F SLA \u002F LTS 长期支持版本","邮件官方","完全免费（MIT 开源） \u002F Enterprise SLA 联系",[25341,28001],{"power":264,"ux":257,"price":264,"cn_support":257,"stability":264},{"title":53246,"description":56147},"Open WebUI 评测 2026：自托管 ChatGPT 替代，Ollama 前端部署指南",[56176,56178,56180],{"name":56177,"url":56118,"accessed":732},"Open WebUI 官方文档",{"name":56179,"url":56125,"accessed":732},"Local AI Master — Open WebUI Setup Guide 2026",{"name":56181,"url":56132,"accessed":732},"AIToolDiscovery — Open-WebUI with Ollama 2026","tools\u002Fcoding\u002Flocal\u002Fopen-webui","自托管的 ChatGPT 替代：Ollama \u002F OpenAI 兼容、多用户、RAG、126k+ GitHub stars",[2654,3367,2861,10423,10424,2985,40501],"自托管多用户 AI 前端的事实标准。团队 \u002F 家庭 \u002F 公司部署一份共享，多模型聚合 + RAG + 工具调用全有。单机 \u002F 桌面体验首选 Cherry Studio \u002F LobeChat。","https:\u002F\u002Fdocs.openwebui.com","JCKn_X0aojpl94LKJcqlbs0XSTAxv8S8JgKy70WtsO0",{"id":56189,"title":2597,"alternatives":56190,"api_compatible":16,"body":56191,"category":2654,"chinese_friendly":224,"cover":56665,"description":56666,"domestic":680,"extension":681,"faq":16,"free":680,"github":56650,"languages":56667,"lastVerified":2637,"meta":56668,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":56669,"pillar":22297,"platforms":56670,"priceTable":16,"pricing":37063,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":56671,"self_host":680,"seo":56672,"seoTitle":56673,"slug":56674,"sources":56675,"stem":56678,"suitable":16,"tagline":56679,"tags":56680,"updated":2637,"verdict":56685,"website":56644,"__hash__":56686},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fvllm.md",[6740,6741],{"type":18,"value":56192,"toc":56652},[56193,56195,56198,56201,56203,56262,56264,56267,56269,56277,56281,56304,56308,56340,56342,56382,56384,56512,56514,56568,56570,56596,56598,56604,56610,56616,56622,56624,56632,56634,56638],[21,56194,24],{"id":23},[26,56196,56197],{},"vLLM 是当前开源生态吞吐量最高的 LLM 推理引擎，由 UC Berkeley 团队开发，核心创新 PagedAttention 把 KV cache 当虚拟内存管，配合连续批处理（continuous batching）把 GPU 利用率从传统推理的 30-40% 拉到 70-80%+。Apache 2.0 协议，纯 Python + CUDA，部署在 Linux + NVIDIA GPU。",[26,56199,56200],{},"适合：需要对外提供 LLM API 服务、多用户并发、追求最大吞吐和最低延迟的工程团队，以及跑大规模 batch 离线推理的研究场景。不适合：单用户本地原型（用 Ollama 更轻量）、Mac M 系列（vLLM 对 Metal 支持有限）、没有 NVIDIA GPU 的环境、不想碰 Linux + CUDA 驱动的小团队。",[21,56202,34],{"id":34},[36,56204,56205,56211,56217,56223,56235,56241,56250,56256],{},[39,56206,56207,56210],{},[42,56208,56209],{},"PagedAttention","：借鉴操作系统虚拟内存的分页机制管理 KV cache，消除碎片化，显存利用率提升 2-4 倍",[39,56212,56213,56216],{},[42,56214,56215],{},"连续批处理（Continuous Batching）","：请求动态插入 \u002F 弹出，不需要等整批完成，GPU 闲置接近为零",[39,56218,56219,56222],{},[42,56220,56221],{},"高并发吞吐","：单 A100 跑 Llama-3-8B 可达 800-12500 tok\u002Fs（取决于 batch size），比 Hugging Face Transformers 高 14-24 倍",[39,56224,56225,56227,56228,56231,56232,56234],{},[42,56226,53574],{},"：内置 ",[204,56229,56230],{},"--api-server","，端点 ",[204,56233,26683],{}," 直接替换 OpenAI SDK 的 baseURL 即用",[39,56236,56237,56240],{},[42,56238,56239],{},"量化支持","：AWQ、GPTQ、FP8（H100\u002FAda）、INT8 KV cache，显存减半吞吐不掉",[39,56242,56243,5072,56246,56249],{},[42,56244,56245],{},"张量并行（Tensor Parallelism）",[204,56247,56248],{},"--tensor-parallel-size N"," 多卡切分，支持多 GPU 推理大模型",[39,56251,56252,56255],{},[42,56253,56254],{},"分布式部署","：Ray 集群多节点推理，支持 pipeline parallelism",[39,56257,56258,56261],{},[42,56259,56260],{},"LoRA 多租户","：同时加载多个 LoRA adapter，单服务多模型，按请求路由",[21,56263,108],{"id":108},[26,56265,56266],{},"完全免费，Apache 2.0 开源，商用无限制。成本在于 GPU 硬件：一张 A100 80GB 云端约 $2-4\u002F小时（按需），跑 70B 模型需 2-4 张。自建机房摊薄后更便宜。",[21,56268,2241],{"id":2240},[130,56270,56271],{},[26,56272,2246,56273,56276],{},[42,56274,56275],{},"环境（撰写时参考）","：4× A100 80GB + Llama-3-70B-Instruct（FP16），vLLM 0.6.x 系列（最新稳定版请以 vllm.ai 为准）。",[26,56278,56279],{},[42,56280,143],{},[36,56282,56283,56289,56292,56295,56298,56301],{},[39,56284,56285,56288],{},[204,56286,56287],{},"vllm serve meta-llama\u002FMeta-Llama-3-70B-Instruct --tensor-parallel-size 4"," 一行拉起，4 卡自动切分",[39,56290,56291],{},"并发 64 用户，平均延迟 1.2s，吞吐稳定在 3200 tok\u002Fs，GPU 利用率 75-85%",[39,56293,56294],{},"同样硬件跑 HF Transformers + 默认 batching，吞吐仅 ~200 tok\u002Fs，差距 16 倍",[39,56296,56297],{},"AWQ 量化版 70B 单卡 A100 即可跑，吞吐只掉 15-20%，显存从 140GB 降到 40GB",[39,56299,56300],{},"OpenAI 兼容端点接 Cursor \u002F Dify \u002F FastGPT 零改动",[39,56302,56303],{},"连续批处理下短请求和长请求混合调度公平，没有长尾饿死",[26,56305,56306],{},[42,56307,168],{},[36,56309,56310,56317,56324,56327,56334],{},[39,56311,56312,56313,56316],{},"第一次启动要编译 CUDA kernel，冷启动 3-5 分钟，加 ",[204,56314,56315],{},"--enforce-eager"," 可跳过但掉速 20%",[39,56318,56319,56320,56323],{},"KV cache 默认占 90% 显存，跑长上下文（32K+）要手动调 ",[204,56321,56322],{},"--gpu-memory-utilization 0.85"," 留余量",[39,56325,56326],{},"旧版本对 Qwen2.5-VL 等多模态模型支持不稳定，偶发 OOM，建议查阅官方 issue 选择适配版本",[39,56328,56329,56330,56333],{},"国内 HuggingFace 下载模型慢，配 ",[204,56331,56332],{},"HF_ENDPOINT=https:\u002F\u002Fhf-mirror.com"," 或预下载到本地",[39,56335,56336,56339],{},[204,56337,56338],{},"--max-model-len"," 必须设，否则默认按模型最大上下文分配，32B 模型 128K 上下文会直接 OOM",[21,56341,936],{"id":936},[630,56343,56344,56350,56356,56362,56369,56375],{},[39,56345,56346,56347],{},"环境准备：Linux + NVIDIA GPU（compute capability ≥ 7.0）+ CUDA 12.1+，",[204,56348,56349],{},"pip install vllm",[39,56351,56352,56353],{},"拉起服务：",[204,56354,56355],{},"vllm serve meta-llama\u002FMeta-Llama-3-8B-Instruct --port 8000",[39,56357,56358,56359],{},"测试调用：",[204,56360,56361],{},"curl http:\u002F\u002Flocalhost:8000\u002Fv1\u002Fchat\u002Fcompletions -H \"Content-Type: application\u002Fjson\" -d '{\"model\":\"meta-llama\u002FMeta-Llama-3-8B-Instruct\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}'",[39,56363,56364,56365,56368],{},"多卡并行：加 ",[204,56366,56367],{},"--tensor-parallel-size 4","（卡数）",[39,56370,56371,56372],{},"量化部署：",[204,56373,56374],{},"vllm serve TheBloke\u002FLlama-2-13B-AWQ --quantization awq",[39,56376,56377,56378,56381],{},"接入应用：任何 OpenAI SDK 改 ",[204,56379,56380],{},"base_url=http:\u002F\u002Flocalhost:8000\u002Fv1"," 即用",[21,56383,364],{"id":364},[366,56385,56386,56402],{},[369,56387,56388],{},[372,56389,56390,56392,56394,56396,56399],{},[375,56391,377],{},[375,56393,2597],{},[375,56395,6963],{},[375,56397,56398],{},"TGI (HF)",[375,56400,56401],{},"TensorRT-LLM",[390,56403,56404,56421,56433,56446,56459,56472,56484,56499],{},[372,56405,56406,56409,56412,56415,56418],{},[395,56407,56408],{},"吞吐（A100 8B）",[395,56410,56411],{},"~800-12500 tok\u002Fs",[395,56413,56414],{},"~40 tok\u002Fs",[395,56416,56417],{},"~500 tok\u002Fs",[395,56419,56420],{},"~10000 tok\u002Fs",[372,56422,56423,56425,56427,56429,56431],{},[395,56424,49817],{},[395,56426,2458],{},[395,56428,10169],{},[395,56430,2458],{},[395,56432,2461],{},[372,56434,56435,56437,56439,56441,56444],{},[395,56436,56209],{},[395,56438,1100],{},[395,56440,426],{},[395,56442,56443],{},"✅ (v0.7+)",[395,56445,426],{},[372,56447,56448,56451,56453,56455,56457],{},[395,56449,56450],{},"连续批处理",[395,56452,1100],{},[395,56454,426],{},[395,56456,1100],{},[395,56458,1100],{},[372,56460,56461,56463,56465,56467,56469],{},[395,56462,27790],{},[395,56464,1100],{},[395,56466,1100],{},[395,56468,1100],{},[395,56470,56471],{},"需封装",[372,56473,56474,56476,56478,56480,56482],{},[395,56475,809],{},[395,56477,440],{},[395,56479,1100],{},[395,56481,1100],{},[395,56483,440],{},[372,56485,56486,56489,56492,56495,56497],{},[395,56487,56488],{},"Mac 支持",[395,56490,56491],{},"❌ 有限",[395,56493,56494],{},"✅ MLX",[395,56496,426],{},[395,56498,426],{},[372,56500,56501,56503,56505,56507,56510],{},[395,56502,53332],{},[395,56504,1899],{},[395,56506,8343],{},[395,56508,56509],{},"HFOIL",[395,56511,1899],{},[21,56513,521],{"id":521},[36,56515,56516,56525,56533,56547,56553,56562],{},[39,56517,56518,56521,56522,56524],{},[42,56519,56520],{},"冷启动慢不是 bug","：首次编译 CUDA kernel 需要几分钟，生产环境用 Docker 镜像预编译或加 ",[204,56523,56315],{},"（牺牲 15-20% 性能换即时启动）",[39,56526,56527,56532],{},[42,56528,56529,56531],{},[204,56530,56338],{}," 必设","：不设会按模型最大上下文预分配 KV cache，小显存直接 OOM",[39,56534,56535,56538,56539,56542,56543,56546],{},[42,56536,56537],{},"量化模型要匹配版本","：AWQ 模型必须用 ",[204,56540,56541],{},"--quantization awq","，GPTQ 用 ",[204,56544,56545],{},"--quantization gptq","，混用会报错或精度崩",[39,56548,56549,56552],{},[42,56550,56551],{},"不要在 Mac 上用 vLLM 跑生产","：Metal 后端是实验性的，性能远不如 CPU，Mac 本地推理用 Ollama \u002F MLX",[39,56554,56555,56558,56559,56561],{},[42,56556,56557],{},"监控 GPU 显存碎片","：长跑后偶发显存碎片导致新请求 OOM，加 ",[204,56560,56322],{}," 留 buffer 或定期重启",[39,56563,56564,56567],{},[42,56565,56566],{},"多模态模型看版本","：不同版本对 VLM 支持差异较大，新模型先查官方 issue 选适配版本",[21,56569,575],{"id":574},[36,56571,56572,56575,56578,56581,56584,56587,56590,56593],{},[39,56573,56574],{},"✅ 生产级 LLM API 服务（多用户并发、高吞吐）",[39,56576,56577],{},"✅ 大规模离线 batch 推理（数据标注、合成数据生成）",[39,56579,56580],{},"✅ 需要最低成本跑大模型（量化 + 单卡部署 70B）",[39,56582,56583],{},"✅ 有 NVIDIA GPU + Linux 运维能力的工程团队",[39,56585,56586],{},"❌ 单用户本地原型 \u002F 个人开发（用 Ollama，0 配置）",[39,56588,56589],{},"❌ Mac M 系列用户（Metal 支持有限，用 Ollama + MLX）",[39,56591,56592],{},"❌ 没有 GPU 的环境（vLLM 的 CPU 后端性能极差）",[39,56594,56595],{},"❌ 多模态 \u002F 语音模型生产部署（支持不稳定，看具体版本）",[21,56597,2552],{"id":2551},[26,56599,56600,56603],{},[42,56601,56602],{},"Q: vLLM 和 Ollama 怎么选？","\nA: Ollama 是 Daemon + CLI，单用户原型极简；vLLM 是推理服务器，多用户并发吞吐高 16-20 倍。个人用 Ollama，对外提供服务用 vLLM。",[26,56605,56606,56609],{},[42,56607,56608],{},"Q: 单卡能跑 70B 吗？","\nA: 可以。用 AWQ\u002FGPTQ 4-bit 量化，70B 约需 35-40GB 显存，A100 80GB 或 2×A100 40GB 张量并行。FP16 则需 140GB（2×A100 80GB）。",[26,56611,56612,56615],{},[42,56613,56614],{},"Q: 和 TensorRT-LLM 比谁快？","\nA: TensorRT-LLM 在极致优化下略快（5-15%），但需要编译 engine、调试周期长、模型适配少。vLLM 灵活性和生态好得多，综合性价比更高。",[26,56617,56618,56621],{},[42,56619,56620],{},"Q: 支持 AMD GPU 吗？","\nA: 部分支持。0.5+ 起 ROCm 后端可用，但稳定性、性能、生态都远不如 NVIDIA CUDA。生产环境仍建议 NVIDIA。",[21,56623,604],{"id":604},[26,56625,56626,2589,56628,2589,56630],{},[610,56627,2588],{"href":2587},[610,56629,2593],{"href":2592},[610,56631,2160],{"href":53875},[21,56633,628],{"id":628},[130,56635,56636],{},[26,56637,2604],{},[36,56639,56640,56646],{},[39,56641,56642],{},[610,56643,2613],{"href":56644,"rel":56645},"https:\u002F\u002Fvllm.ai",[639],[39,56647,56648],{},[610,56649,2620],{"href":56650,"rel":56651},"https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm",[639],{"title":202,"searchDepth":250,"depth":250,"links":56653},[56654,56655,56656,56657,56658,56659,56660,56661,56662,56663,56664],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fvllm.webp","vLLM 真实评测：开源高吞吐 LLM 推理引擎（Apache 2.0 协议），核心创新 PagedAttention + 连续批处理，显著提升 GPU 利用率和推理吞吐。适合需要生产级高并发 LLM 服务部署、追求最大吞吐量的工程团队。",[697],{},"\u002Ftools\u002Fcoding\u002Flocal\u002Fvllm",[1350],{"power":264,"ux":250,"price":264,"cn_support":224,"stability":257},{"title":2597,"description":56666},"vLLM - 高吞吐 LLM 推理引擎评测与部署 | AIHO","coding\u002Flocal\u002Fvllm",[56676,56677],{"title":2613,"url":56644},{"title":2620,"url":56650},"tools\u002Fcoding\u002Flocal\u002Fvllm","高吞吐 LLM 推理引擎，PagedAttention 连续批处理",[2654,56681,56682,56683,56684],"inference-engine","production","paged-attention","gpu","生产级高并发 LLM 服务的首选推理引擎，PagedAttention + 连续批处理把单卡吞吐拉到极致；单用户原型和 Mac 本地玩用 Ollama \u002F LM Studio 更省心。","njZ35H6xUwwjCk237XJvzfgRSW0kRrEEdoBySqYygng",{"id":56688,"title":56689,"alternatives":56690,"api_compatible":16,"body":56695,"category":57109,"chinese_friendly":250,"cover":57110,"description":57111,"domestic":680,"extension":681,"faq":57112,"free":680,"github":16,"languages":57125,"lastVerified":16,"meta":57126,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":57127,"pillar":22297,"platforms":57128,"priceTable":57133,"pricing":57149,"published":720,"relatedPlaybooks":57150,"relatedReviews":16,"score":57152,"self_host":253,"seo":57153,"seoTitle":57154,"slug":57155,"sources":57156,"stem":57161,"suitable":16,"tagline":57162,"tags":57163,"updated":732,"verdict":57169,"website":57170,"__hash__":57171},"tools\u002Ftools\u002Fcoding\u002Freview\u002Fbito.md","Bito AI",[56691,56692,56693,56694],"coding\u002Freview\u002Fcoderabbit","coding\u002Freview\u002Fellipsis","coding\u002Freview\u002Fgreptile","coding\u002Freview\u002Fqodo",{"type":18,"value":56696,"toc":57097},[56697,56699,56702,56705,56707,56762,56764,56792,56796,56800,56820,56824,56841,56843,56863,56865,56986,56988,57026,57028,57051,57053,57079,57081],[21,56698,24],{"id":23},[26,56700,56701],{},"Bito 把 AI Code Reviews 和 AI Architect 做成两条产品线：前者是 PR 自动评审（VS Code\u002FJetBrains\u002FCursor\u002FWindsurf 插件 + Git 平台 bot + CLI），按席位计费、Team $12\u002Fseat\u002F月起、含 5K LOC\u002F月；后者是代码库 + Jira\u002FConfluence 知识图谱 + MCP，给 Cursor \u002F Claude Code \u002F Codex 注入架构 + 设计 + 影响评估上下文，usage-based 计费。SOC 2 Type II、不存代码、不训练，可自托管。",[26,56703,56704],{},"适合：想 PR 评审 + 编码 Agent 架构感知双重需求的中型团队；价格敏感于 CodeRabbit；已有 Jira\u002FConfluence 沉淀想沉到 Agent 里。不适合：开源仓库（CodeRabbit 公共仓库无限免费更优）；要 IDE 实时 review（CodeRabbit IDE review 更成熟）。",[21,56706,34],{"id":34},[36,56708,56709,56715,56721,56727,56733,56738,56744,56750,56756],{},[39,56710,56711,56714],{},[42,56712,56713],{},"AI Code Reviews","：PR 评论 + 1-click 修复 + 自定义评审规则 + 自学习 + 评审分析",[39,56716,56717,56720],{},[42,56718,56719],{},"多 Git 平台","：GitHub \u002F GitLab \u002F Bitbucket + CI\u002FCD pipeline 评审",[39,56722,56723,56726],{},[42,56724,56725],{},"IDE \u002F CLI 三入口","：VS Code \u002F JetBrains \u002F Cursor \u002F Windsurf 插件 + CLI",[39,56728,56729,56732],{},[42,56730,56731],{},"AI Architect","：代码库知识图谱 + 技术设计 + 影响评估 + grounded 代码生成",[39,56734,56735,56737],{},[42,56736,3422],{},"：Cursor \u002F Claude Code \u002F Codex \u002F Slack \u002F Jira \u002F Linear",[39,56739,56740,56743],{},[42,56741,56742],{},"Jira + Confluence 索引","：把规格 + 设计文档融入评审 \u002F 生成上下文",[39,56745,56746,56749],{},[42,56747,56748],{},"可观测数据索引","（Enterprise）：把日志 \u002F metrics 关联进代码上下文",[39,56751,56752,56755],{},[42,56753,56754],{},"自托管 \u002F On-prem","：Professional 加挂、Enterprise 标配",[39,56757,56758,56761],{},[42,56759,56760],{},"安全合规","：SOC 2 Type II、不存代码、不训练、SSO\u002FSAML（Enterprise）",[21,56763,108],{"id":108},[36,56765,56766,56771,56776,56781,56786],{},[39,56767,56768,56770],{},[42,56769,867],{},"：$12\u002Fseat\u002F月（年付）或 $15（月付），5K LOC\u002Fseat\u002F月，超出 $5\u002F1K",[39,56772,56773,56775],{},[42,56774,12520],{},"：$20\u002F$25\u002Fseat\u002F月，含自定义规则 + 自学习 + Jira\u002FConfluence + CI\u002FCD + 14 天试用",[39,56777,56778,56780],{},[42,56779,833],{},"：定制，含跨仓 impact 分析（用 AI Architect）+ 多 org + SSO\u002FSAML + 专属 CSM",[39,56782,56783,56785],{},[42,56784,56731],{},"：usage-based（按代码库规模 + 用量），联系销售",[39,56787,56788,56791],{},[42,56789,56790],{},"席位规则","：只有发起 PR 被 Bito 评审的 Git handle 计费，未参与的开发者不收钱",[21,56793,56795],{"id":56794},"实测10-人后端团队-cursor-claude-code-接-ai-architect","实测（10 人后端团队 + Cursor \u002F Claude Code 接 AI Architect）",[26,56797,56798],{},[42,56799,143],{},[36,56801,56802,56805,56808,56811,56814,56817],{},[39,56803,56804],{},"Team plan 单价 $12 是同类里最低之一，10 人团队年 ~$1440",[39,56806,56807],{},"PR 评论质量稳定，跨文件依赖分析比 GPT-4 直评准确",[39,56809,56810],{},"1-click 修复对小问题（命名 \u002F 边界 \u002F 异常处理）覆盖率高",[39,56812,56813],{},"自定义评审准则用 YAML 写易上手",[39,56815,56816],{},"AI Architect MCP 接 Cursor 后写代码前能看到「这个函数被 12 处调用、3 处涉及 BillingService」，避免盲改",[39,56818,56819],{},"Jira\u002FConfluence 索引后评论里会引用关联工单 + 设计文档",[26,56821,56822],{},[42,56823,168],{},[36,56825,56826,56829,56832,56835,56838],{},[39,56827,56828],{},"5K LOC\u002Fseat 月度配额：大重构 PR 一次性吃光，要么升档要么按 $5\u002F1K 超支",[39,56830,56831],{},"Professional 自托管要 +$5\u002Fseat 加挂，对小团队不划算",[39,56833,56834],{},"AI Architect 必须联系销售，无 self-serve（roadmap 中）",[39,56836,56837],{},"中文 PR 描述偶尔评论会英文回（设默认语言可缓解）",[39,56839,56840],{},"没有开源免费档（CodeRabbit 公共仓库无限免费）",[21,56842,936],{"id":936},[630,56844,56845,56848,56851,56854,56857,56860],{},[39,56846,56847],{},"bito.ai 注册 → 选 14 天 Professional 试用（无信用卡）",[39,56849,56850],{},"安装 GitHub\u002FGitLab App → 选要评审的仓库",[39,56852,56853],{},"提一个 PR 试用 → 看 inline 评论 + 1-click 修复",[39,56855,56856],{},"（可选）装 VS Code\u002FJetBrains 插件 → 本地评审 staged 改动",[39,56858,56859],{},"配置自定义规则（YAML）+ Jira \u002F Confluence 集成",[39,56861,56862],{},"进阶：联系销售开 AI Architect → 索引仓库 → MCP 接 Cursor \u002F Claude Code",[21,56864,364],{"id":364},[366,56866,56867,56885],{},[369,56868,56869],{},[372,56870,56871,56873,56876,56879,56882],{},[375,56872,377],{},[375,56874,56875],{},"Bito",[375,56877,56878],{},"CodeRabbit",[375,56880,56881],{},"Ellipsis",[375,56883,56884],{},"Qodo",[390,56886,56887,56903,56918,56931,56947,56960,56973],{},[372,56888,56889,56891,56894,56897,56900],{},[395,56890,23243],{},[395,56892,56893],{},"$12\u002Fseat（年）",[395,56895,56896],{},"Pro $24\u002Fseat（年）",[395,56898,56899],{},"$20\u002Fseat",[395,56901,56902],{},"Teams $30\u002Fseat",[372,56904,56905,56907,56909,56912,56915],{},[395,56906,49680],{},[395,56908,426],{},[395,56910,56911],{},"✅ 公共仓库无限",[395,56913,56914],{},"✅ 公共仓库",[395,56916,56917],{},"OSS 项目计划",[372,56919,56920,56923,56925,56927,56929],{},[395,56921,56922],{},"IDE 评审",[395,56924,1100],{},[395,56926,1100],{},[395,56928,2458],{},[395,56930,1100],{},[372,56932,56933,56936,56939,56942,56945],{},[395,56934,56935],{},"知识图谱 \u002F 跨仓",[395,56937,56938],{},"✅ AI Architect",[395,56940,56941],{},"Codegraph",[395,56943,56944],{},"Codebase 图",[395,56946,21837],{},[372,56948,56949,56952,56954,56956,56958],{},[395,56950,56951],{},"MCP \u002F Agent 集成",[395,56953,14629],{},[395,56955,467],{},[395,56957,443],{},[395,56959,1100],{},[372,56961,56962,56964,56967,56969,56971],{},[395,56963,7433],{},[395,56965,56966],{},"+$5\u002Fseat",[395,56968,833],{},[395,56970,443],{},[395,56972,833],{},[372,56974,56975,56977,56980,56982,56984],{},[395,56976,22137],{},[395,56978,56979],{},"SOC 2 Type II",[395,56981,56979],{},[395,56983,45098],{},[395,56985,45098],{},[21,56987,521],{"id":521},[36,56989,56990,56996,57002,57008,57014,57020],{},[39,56991,56992,56995],{},[42,56993,56994],{},"LOC 配额关注 dashboard","：大型 PR \u002F 重构会瞬间烧光，提前规划升档",[39,56997,56998,57001],{},[42,56999,57000],{},"自定义规则别堆太多","：>30 条规则评论噪声明显，分阶段渐进",[39,57003,57004,57007],{},[42,57005,57006],{},"开源仓库价值有限","：要免费走 CodeRabbit \u002F Ellipsis 公共仓库无限档",[39,57009,57010,57013],{},[42,57011,57012],{},"AI Architect 是单独产品","：合同 \u002F 计费 \u002F 部署独立，预算分两笔",[39,57015,57016,57019],{},[42,57017,57018],{},"自托管要先评估","：Professional 加挂 $5\u002Fseat 在小团队不划算，10 人以下用 cloud",[39,57021,57022,57025],{},[42,57023,57024],{},"席位计费看 Git handle","：fork \u002F 外包账号别乱接，避免误计费",[21,57027,575],{"id":574},[36,57029,57030,57033,57036,57039,57042,57045,57048],{},[39,57031,57032],{},"✅ 中型团队、PR 评审 + Agent 上下文双需求",[39,57034,57035],{},"✅ 价格敏感于 CodeRabbit Pro",[39,57037,57038],{},"✅ 已有 Jira \u002F Confluence 知识沉淀",[39,57040,57041],{},"✅ Cursor \u002F Claude Code 用户想注入架构上下文",[39,57043,57044],{},"❌ 开源仓库 \u002F 公共项目（用 CodeRabbit \u002F Ellipsis）",[39,57046,57047],{},"❌ IDE 实时 review 重度（CodeRabbit 更成熟）",[39,57049,57050],{},"❌ 极低预算单人开发者（Ellipsis $20 flat 含 unlimited 更划算）",[21,57052,604],{"id":604},[36,57054,57055,57061,57067,57073],{},[39,57056,57057],{},[610,57058,57060],{"href":57059},"\u002Ftools\u002Fcoding\u002Freview\u002Fcoderabbit","CodeRabbit 评测",[39,57062,57063],{},[610,57064,57066],{"href":57065},"\u002Ftools\u002Fcoding\u002Freview\u002Fellipsis","Ellipsis 评测",[39,57068,57069],{},[610,57070,57072],{"href":57071},"\u002Ftools\u002Fcoding\u002Freview\u002Fgreptile","Greptile 评测",[39,57074,57075],{},[610,57076,57078],{"href":57077},"\u002Ftools\u002Fcoding\u002Freview\u002Fqodo","Qodo 评测",[21,57080,628],{"id":628},[630,57082,57083,57090],{},[39,57084,57085,57086],{},"Bito 官方定价页 ",[610,57087,57088],{"href":57088,"rel":57089},"https:\u002F\u002Fbito.ai\u002Fpricing\u002F",[639],[39,57091,57092,57093],{},"Stackpick — Bito AI Review 2026 ",[610,57094,57095],{"href":57095,"rel":57096},"https:\u002F\u002Fstackpick.net\u002Ftools\u002Fbito-ai",[639],{"title":202,"searchDepth":250,"depth":250,"links":57098},[57099,57100,57101,57102,57103,57104,57105,57106,57107,57108],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":56794,"depth":224,"text":56795},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"review","\u002Fimg\u002Ftools\u002Fbito.webp","Bito 真实评测：印度团队 Bito Inc. 出品，AI Code Reviews（Team $12\u002F$15 起、5K LOC\u002Fseat\u002F月）+ AI Architect（usage-based）双产品。支持 GitHub\u002FGitLab\u002FBitbucket、VS Code\u002FJetBrains\u002FCursor\u002FWindsurf、Jira\u002FLinear\u002FSlack\u002FMCP。SOC 2 Type II、代码不存储不训练。",[57113,57116,57119,57122],{"q":57114,"a":57115},"Bito 和 CodeRabbit 怎么选？","都是 PR 自动评审 SaaS。Bito 价格更便宜（Team $12 vs CodeRabbit Pro $24\u002Fseat），并且额外有 AI Architect 给编码 Agent 注入跨文件上下文 + Jira\u002FConfluence 知识图谱。CodeRabbit 更成熟、开源仓库无限免费 + IDE\u002FCLI review、生态更广。要 PR 评审 + Agent 架构上下文双重需求 Bito 性价比高；只做 PR 评审走 CodeRabbit。",{"q":57117,"a":57118},"AI Architect 是什么？","Bito 的第二产品：把你的代码库 + Jira\u002FConfluence\u002F可观测数据建成知识图谱，通过 MCP 接 Cursor \u002F Claude Code \u002F Codex，让编码 Agent 在写代码前先看到完整架构 + 历史决策。Usage-based 计费，联系销售定价。",{"q":57120,"a":57121},"5K LOC\u002Fseat\u002F月的限制？","Team \u002F Professional 每席每月含 5K 行评审，超出按 $5\u002F1K 计费。一个 PR 改几百行算几百行，大型重构 PR 会很快吃完额度，需关注 dashboard。",{"q":57123,"a":57124},"代码安全吗？","SOC 2 Type II、端到端加密、不存储代码、不用于训练。可选自托管（Professional +$5\u002Fseat 加挂、Enterprise 标配）。",[697,696],{},"\u002Ftools\u002Fcoding\u002Freview\u002Fbito",[22299,22300,57129,57130,24207,57131,57132,22301],"cursor","windsurf","gitlab","bitbucket",[57134,57138,57142,57145],{"plan":867,"price":57135,"features":57136,"notes":57137},"$12\u002Fseat\u002F月（年付）\u002F $15（月付）","AI 评审 + 1-click 修复 + 评审分析 + 代码库感知 + 5K LOC\u002Fseat\u002F月（超出 $5\u002F1K）","GitHub\u002FGitLab\u002FBitbucket + VS Code\u002FJetBrains\u002FCursor\u002FWindsurf",{"plan":12520,"price":57139,"features":57140,"notes":57141},"$20\u002Fseat\u002F月（年）\u002F $25（月）","自定义评审准则 + 自学习 + Jira\u002FConfluence + CI\u002FCD 评审 + 自托管 +$5\u002Fseat 加挂","14 天免费试用、无需信用卡",{"plan":833,"price":716,"features":57143,"notes":57144},"跨仓 impact 分析 + 多 org + SSO\u002FSAML + 专属 CSM + SLA","AI Architect 联合方案",{"plan":56731,"price":57146,"features":57147,"notes":57148},"usage-based","代码库知识图谱 + 技术设计 + 影响评估 + MCP 给 Cursor\u002FClaude\u002FCodex \u002F Jira+Linear+Slack","联系商务定价、按代码库规模 + 用量计费","Team $12\u002Fseat\u002F月（年）或 $15（月） \u002F Professional $20\u002F$25 \u002F Enterprise 定制 \u002F AI Architect usage-based",[57151,32568],"onboarding\u002Fpr-review-automation",{"power":257,"ux":257,"price":257,"cn_support":250,"stability":257},{"title":56689,"description":57111},"Bito AI 评测 2026：代码审查与 AI 编程助手，自动化代码质量","coding\u002Freview\u002Fbito",[57157,57159],{"name":57158,"url":57088,"accessed":732},"Bito 官方定价页",{"name":57160,"url":57095,"accessed":732},"Stackpick — Bito AI Review 2026","tools\u002Fcoding\u002Freview\u002Fbito","AI Code Reviews + AI Architect 双产品——PR 自动审查 + 代码库知识图谱 + 给 Cursor \u002F Claude Code 注入架构上下文",[57164,57165,57166,1392,57167,57168,22335],"code-review","pr","architect","jira","security","做 AI Code Review + 给编码 Agent 注入架构 \u002F Jira 上下文的双产品组合。审 PR 走 Team\u002F$12，给 Cursor \u002F Claude Code 加架构图走 AI Architect（usage-based）；只要纯 PR 评论且开源仓库免费——选 CodeRabbit。","https:\u002F\u002Fbito.ai","Uo1Ab7IuEswtSNnYqW89q8V8lmKoeXPoSvBhrZS1Qyo",{"id":57173,"title":56878,"alternatives":57174,"api_compatible":16,"body":57175,"category":57109,"chinese_friendly":250,"cover":57671,"description":57672,"domestic":680,"extension":681,"faq":57673,"free":680,"github":16,"languages":57685,"lastVerified":16,"meta":57686,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":57059,"pillar":22297,"platforms":57687,"priceTable":57689,"pricing":57703,"published":720,"relatedPlaybooks":57704,"relatedReviews":57705,"score":57707,"self_host":253,"seo":57708,"seoTitle":57709,"slug":56691,"sources":57710,"stem":57719,"suitable":16,"tagline":57720,"tags":57721,"updated":732,"verdict":57723,"website":57636,"__hash__":57724},"tools\u002Ftools\u002Fcoding\u002Freview\u002Fcoderabbit.md",[56692,56693,56694,57155],{"type":18,"value":57176,"toc":57659},[57177,57179,57182,57185,57187,57263,57265,57288,57292,57296,57322,57326,57343,57345,57377,57379,57535,57537,57581,57583,57606,57608,57627,57629],[21,57178,24],{"id":23},[26,57180,57181],{},"CodeRabbit 是 AI PR 评审 SaaS 的事实标准——CodeRabbit Inc. 出品，融资 $88M、估值 $550M、ARR $15M、8000+ 企业客户。Pro $24\u002Fseat 年付（$30 月付），公共仓库无限免费 + 私有仓库 14 天试用。v3 平台融合多模型（GPT\u002FClaude\u002FGemini）+ Codegraph + 40+ linter + agentic 工作流，提供 PR、IDE、CLI 三入口 + 1-click AI 修复 + MCP 集成 Jira\u002FLinear\u002FConfluence。SOC 2 Type II。",[26,57183,57184],{},"适合：开源维护者（公共仓库无限免费）；企业团队要成熟 AI 评审 + 多模型 + 完整 linter 生态；用 Cursor \u002F Claude Code 但想给 PR 卡一道质量门。不适合：极低预算单人（Ellipsis $20 flat 含无限更优）；要 Agent 注入架构上下文（Bito AI Architect 独家）。",[21,57186,34],{"id":34},[36,57188,57189,57195,57201,57210,57216,57222,57228,57234,57240,57246,57252,57258],{},[39,57190,57191,57194],{},[42,57192,57193],{},"Agentic PR Reviews","：2-click GitHub\u002FGitLab\u002FBitbucket\u002FAzure DevOps App 接入，PR 自动 line-by-line + 概要 + walkthrough + 时序图",[39,57196,57197,57200],{},[42,57198,57199],{},"IDE Reviews","：VS Code 插件，commit 前本地评审 staged \u002F unstaged 改动",[39,57202,57203,5072,57206,57209],{},[42,57204,57205],{},"CLI Reviews",[204,57207,57208],{},"coderabbit"," 命令行，配 Claude Code \u002F Cursor CLI \u002F Codex 等 Agent 工作流",[39,57211,57212,57215],{},[42,57213,57214],{},"1-Click AI Fixes","：简单问题一键应用，复杂问题用 \"Fix with AI\"",[39,57217,57218,57221],{},[42,57219,57220],{},"Codebase Intelligence","：Codegraph + 全仓分析，理解跨文件依赖 \u002F 遗留代码",[39,57223,57224,57227],{},[42,57225,57226],{},"40+ Linter & SAST","：ESLint \u002F Semgrep \u002F Bandit 等内置，在沙箱跑、过滤误报",[39,57229,57230,57233],{},[42,57231,57232],{},"MCP External Context","：Jira \u002F Linear \u002F Confluence \u002F 实时网搜",[39,57235,57236,57239],{},[42,57237,57238],{},"可定制 Instructions","：YAML 配置 path-based \u002F AST-based 评审规则 + pre-merge checks",[39,57241,57242,57245],{},[42,57243,57244],{},"Learnings","：在 PR 评论里用自然语言反馈，AI 记忆并应用到未来评审",[39,57247,57248,57251],{},[42,57249,57250],{},"单测 \u002F 文档字符串生成","：评审顺手生成缺失测试",[39,57253,57254,57257],{},[42,57255,57256],{},"企业分析","：每日 standup \u002F sprint review \u002F 工程仪表盘",[39,57259,57260],{},[42,57261,57262],{},"SOC 2 Type II \u002F 零数据保留 \u002F 自托管",[21,57264,108],{"id":108},[36,57266,57267,57272,57277,57282],{},[39,57268,57269,57271],{},[42,57270,843],{},"：公共仓库无限 PR 概要 + 基础评审；私有仓库有月度配额；IDE 限流；14 天 Pro 试用",[39,57273,57274,57276],{},[42,57275,849],{},"：$24\u002Fseat\u002F月年付 \u002F $30 月付，按发起 PR 的开发者计费",[39,57278,57279,57281],{},[42,57280,833],{},"：自定义；SSO\u002FSAML + 自托管 + 自定义模型 + SLA",[39,57283,57284,57287],{},[42,57285,57286],{},"CLI add-on","：usage-based，给 agentic 编码 loop 用，独立于席位计费",[21,57289,57291],{"id":57290},"实测20-人-saas-团队-nextjs-python-后端","实测（20 人 SaaS 团队 \u002F Next.js + Python 后端）",[26,57293,57294],{},[42,57295,143],{},[36,57297,57298,57301,57304,57307,57310,57313,57316],{},[39,57299,57300],{},"2-click 接 GitHub，5 分钟跑通；PR 几十秒出概要 + 时序图",[39,57302,57303],{},"Codegraph 真能跨文件追：评论标「这个改动会影响 BillingService.charge 的 12 处调用」",[39,57305,57306],{},"40+ linter 配 LLM 过滤误报，噪声远低于裸跑 ESLint+Semgrep",[39,57308,57309],{},"自定义 YAML 规则用起来直接，path-based 区分 frontend \u002F backend 评审强度",[39,57311,57312],{},"IDE 插件本地评审 staged 改动，commit 前能拦下半数小问题",[39,57314,57315],{},"Learnings 真有效——3 周后 false positive 下降明显",[39,57317,57318,57319,57321],{},"CLI 配 Claude Code，agent 写完一段先 ",[204,57320,57208],{}," 自检",[26,57323,57324],{},[42,57325,168],{},[36,57327,57328,57331,57334,57337,57340],{},[39,57329,57330],{},"私有仓库 Free 配额吃紧，团队上 Pro 几乎必然",[39,57332,57333],{},"CLI add-on 单独计费，agentic loop 跑多了账单上涨",[39,57335,57336],{},"中文 PR 描述 \u002F 评论偶尔英中混合",[39,57338,57339],{},"多模型自动路由不透明，偶有便宜模型给复杂场景",[39,57341,57342],{},"IDE review 限流在 Free 档明显",[21,57344,936],{"id":936},[630,57346,57347,57350,57353,57356,57359,57367,57374],{},[39,57348,57349],{},"coderabbit.ai 注册 → 2-click GitHub\u002FGitLab App 授权",[39,57351,57352],{},"选仓库 → 默认配置即可跑",[39,57354,57355],{},"提一个 PR 试看 → 概要 + walkthrough + 时序图 + 评论",[39,57357,57358],{},"装 VS Code 插件 → 本地评审 staged 改动",[39,57360,49366,57361,11466,57364,57366],{},[204,57362,57363],{},"npm i -g @coderabbitai\u002Fcli",[204,57365,57208],{}," 自动评审 staged",[39,57368,57369,57370,57373],{},"配置 ",[204,57371,57372],{},".coderabbit.yaml","：path-based 规则 + 自定义指令",[39,57375,57376],{},"接 MCP：Jira \u002F Linear \u002F Confluence 注入工单 \u002F 设计上下文",[21,57378,364],{"id":364},[366,57380,57381,57398],{},[369,57382,57383],{},[372,57384,57385,57387,57389,57391,57393,57396],{},[375,57386,377],{},[375,57388,56878],{},[375,57390,56875],{},[375,57392,56881],{},[375,57394,57395],{},"Greptile",[375,57397,56884],{},[390,57399,57400,57420,57438,57453,57470,57487,57503,57518],{},[372,57401,57402,57405,57408,57411,57414,57417],{},[395,57403,57404],{},"Pro 起价",[395,57406,57407],{},"$24（年）\u002F$30（月）",[395,57409,57410],{},"$12\u002F$15",[395,57412,57413],{},"$20 flat",[395,57415,57416],{},"base + usage",[395,57418,57419],{},"Teams $30",[372,57421,57422,57425,57428,57430,57432,57435],{},[395,57423,57424],{},"公共仓库免费",[395,57426,57427],{},"✅ 无限",[395,57429,426],{},[395,57431,57427],{},[395,57433,57434],{},"freemium",[395,57436,57437],{},"OSS 计划",[372,57439,57440,57443,57445,57447,57449,57451],{},[395,57441,57442],{},"IDE review",[395,57444,40875],{},[395,57446,1100],{},[395,57448,2458],{},[395,57450,437],{},[395,57452,1100],{},[372,57454,57455,57458,57461,57464,57466,57468],{},[395,57456,57457],{},"CLI review",[395,57459,57460],{},"✅ + agentic",[395,57462,57463],{},"CLI 有",[395,57465,437],{},[395,57467,437],{},[395,57469,1100],{},[372,57471,57472,57475,57478,57480,57482,57485],{},[395,57473,57474],{},"Codegraph \u002F 跨仓",[395,57476,57477],{},"✅ Codegraph",[395,57479,56731],{},[395,57481,56944],{},[395,57483,57484],{},"✅ Code graph",[395,57486,21837],{},[372,57488,57489,57492,57495,57497,57499,57501],{},[395,57490,57491],{},"Linter 集成",[395,57493,57494],{},"✅ 40+",[395,57496,443],{},[395,57498,2458],{},[395,57500,443],{},[395,57502,443],{},[372,57504,57505,57507,57510,57512,57514,57516],{},[395,57506,1850],{},[395,57508,57509],{},"✅ Jira\u002FLinear\u002FConfluence",[395,57511,1100],{},[395,57513,443],{},[395,57515,437],{},[395,57517,437],{},[372,57519,57520,57523,57526,57528,57531,57533],{},[395,57521,57522],{},"ARR \u002F 企业数",[395,57524,57525],{},"$15M \u002F 8000+",[395,57527,437],{},[395,57529,57530],{},"67K repos",[395,57532,437],{},[395,57534,437],{},[21,57536,521],{"id":521},[36,57538,57539,57545,57551,57557,57563,57569,57575],{},[39,57540,57541,57544],{},[42,57542,57543],{},"Free 配额吃紧很快","：私有仓库每月几十 PR 上限，团队上 Pro 几乎必然",[39,57546,57547,57550],{},[42,57548,57549],{},"CLI add-on 独立计费","：用 Claude Code CLI \u002F Cursor CLI 跑 agent 时，CLI review 用量飙得快，先开预算告警",[39,57552,57553,57556],{},[42,57554,57555],{},"YAML 规则别一次堆太多","：30+ 自定义规则后噪声明显，渐进引入 + 用 Learnings 调",[39,57558,57559,57562],{},[42,57560,57561],{},"fork \u002F 外包账号别误接","：seat 按 Git handle 计费，PR 来源人意外触发就计费",[39,57564,57565,57568],{},[42,57566,57567],{},"Free 档 IDE review 限流","：本地评审高频用要上 Pro",[39,57570,57571,57574],{},[42,57572,57573],{},"多模型自动路由难审计","：要可重复结果走 Enterprise 固定模型 \u002F BYOK",[39,57576,57577,57580],{},[42,57578,57579],{},"Self-hosted 仅 Enterprise","：硬性合规先确认预算",[21,57582,575],{"id":574},[36,57584,57585,57588,57591,57594,57597,57600,57603],{},[39,57586,57587],{},"✅ 开源维护者（公共仓库无限免费）",[39,57589,57590],{},"✅ 企业团队、要成熟 + 多模型 + 完整 linter 生态",[39,57592,57593],{},"✅ 用 Cursor \u002F Claude Code 想给 PR 卡质量门",[39,57595,57596],{},"✅ MCP \u002F Jira 工作流深度集成",[39,57598,57599],{},"❌ 极低预算单人开发者（Ellipsis $20 flat 更优）",[39,57601,57602],{},"❌ 要 Agent 注入架构上下文（Bito AI Architect 独家）",[39,57604,57605],{},"❌ 极小代码库 + 不在乎评审深度（Free 即可）",[21,57607,604],{"id":604},[36,57609,57610,57615,57619,57623],{},[39,57611,57612],{},[610,57613,57614],{"href":57127},"Bito 评测",[39,57616,57617],{},[610,57618,57066],{"href":57065},[39,57620,57621],{},[610,57622,57072],{"href":57071},[39,57624,57625],{},[610,57626,57078],{"href":57077},[21,57628,628],{"id":628},[630,57630,57631,57638,57645,57652],{},[39,57632,57633,57634],{},"CodeRabbit 官网 ",[610,57635,57636],{"href":57636,"rel":57637},"https:\u002F\u002Fcoderabbit.ai",[639],[39,57639,57640,57641],{},"EveryDev.ai — CodeRabbit 工具介绍 ",[610,57642,57643],{"href":57643,"rel":57644},"https:\u002F\u002Fwww.everydev.ai\u002Ftools\u002Fcoderabbit",[639],[39,57646,57647,57648],{},"Toolradar — CodeRabbit Pricing 2026 ",[610,57649,57650],{"href":57650,"rel":57651},"https:\u002F\u002Ftoolradar.com\u002Ftools\u002Fcoderabbit\u002Fpricing",[639],[39,57653,57654,57655],{},"OpenStats — CodeRabbit Review, Pricing & Performance（公司数据 $88M 融资 \u002F $550M valuation \u002F $15M ARR）",[610,57656,57657],{"href":57657,"rel":57658},"https:\u002F\u002Fwww.openstats.ai\u002Fcoderabbit",[639],{"title":202,"searchDepth":250,"depth":250,"links":57660},[57661,57662,57663,57664,57665,57666,57667,57668,57669,57670],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":57290,"depth":224,"text":57291},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fcoderabbit.webp","CodeRabbit 真实评测：CodeRabbit Inc. 出品，AI PR 评审最广泛使用的 SaaS。Pro $24\u002Fseat\u002F月（年）\u002F $30（月）、公共仓库无限免费 + 私有仓库 14 天 Pro 试用。多模型（GPT\u002FClaude\u002FGemini）+ Codegraph + 40+ linter + MCP，SOC 2 Type II，估值 $550M、ARR $15M、8000+ 企业客户。",[57674,57677,57680,57683],{"q":57675,"a":57676},"CodeRabbit 怎么按席位算？","Pro 只按『发起 PR 并被 CodeRabbit 评审过的 Git handle』计费——10 人仓库但只有 6 人提 PR，那就 6 个 seat。dashboard 可手动分配 \u002F 取消。fork 外包账号别误接。",{"q":57678,"a":57679},"免费版能做什么？","无限公共仓库 PR 评审 + PR 概要；私有仓库有月度配额；IDE review 限流；14 天 Pro 试用送全功能。开源维护者基本免费用到天荒地老。",{"q":57681,"a":57682},"和 Bito 相比性价比？","CodeRabbit Pro $24 比 Bito Team $12 贵一倍，但 ① 开源仓库无限免费、② IDE\u002FCLI\u002FPR 三入口 + 40+ linter 集成更全、③ Codegraph + MCP 生态更成熟、④ ARR $15M、8000+ 企业客户更稳。Bito 在 Agent 注入架构上下文（AI Architect）上独家。",{"q":22910,"a":57684},"v3 是 agentic + 多模型架构：GPT-5 系列 \u002F Claude 系列 \u002F Gemini 自动路由。Enterprise 可自定义模型 \u002F BYOK。",[697,696],{},[22299,22300,22301,24207,57131,57132,57688],"azure-devops",[57690,57693,57697,57700],{"plan":843,"price":707,"features":57691,"notes":57692},"公共 + 私有仓库 PR 概要 + 基础评审（私有限额） + IDE review（限流）","14 天 Pro 试用、无信用卡",{"plan":849,"price":57694,"features":57695,"notes":57696},"$24\u002Fseat\u002F月（年）\u002F $30（月）","无限私有 PR 评审 + IDE\u002FCLI + Codegraph + 40+ linter + MCP + Jira\u002FLinear","只按发起 PR 的开发者计费",{"plan":833,"price":716,"features":57698,"notes":57699},"SSO\u002FSAML + 自托管 + 自定义模型 + SLA + 高级 analytics + 多 org","AWS \u002F GCP Marketplace",{"plan":57286,"price":57146,"features":57701,"notes":57702},"Agentic 编码 loop 用量计费、按 token \u002F 评审次数","与席位计费分开","Free（公共 + 私有限额） \u002F Pro $24\u002Fseat 年付 \u002F $30 月付 \u002F Enterprise 定制 \u002F CLI usage add-on",[57151,32568],[57706],"ai-code-review-comparison",{"power":264,"ux":264,"price":257,"cn_support":250,"stability":264},{"title":56878,"description":57672},"CodeRabbit 评测 2026：AI 代码审查工具，自动化 PR Review，GitHub 集成",[57711,57713,57715,57717],{"name":57712,"url":57636,"accessed":732},"CodeRabbit 官网",{"name":57714,"url":57643,"accessed":732},"EveryDev.ai — CodeRabbit 详细介绍",{"name":57716,"url":57650,"accessed":732},"Toolradar — CodeRabbit Pricing 2026",{"name":57718,"url":57657,"accessed":732},"OpenStats — CodeRabbit 公司数据","tools\u002Fcoding\u002Freview\u002Fcoderabbit","AI PR 评审事实标准——v3 + 40+ linter + Codegraph + IDE\u002FCLI\u002FPR 三入口，8K+ 企业、$15M ARR",[57164,57165,4465,57722,1392,22335,2153],"codegraph","AI PR 评审事实标准——开源仓库无限免费、私有仓库 Pro $24\u002Fseat 性价比合理、IDE\u002FCLI\u002FPR 三入口 + 40+ linter + MCP 生态最完善。预算紧 \u002F 极简单审走 Ellipsis $20 flat；要 Agent 注入架构上下文走 Bito AI Architect。","t3q1qabsxai_tYMcP6_pDuEzFkjRIGB-sVLwnhoBSQk",{"id":57726,"title":57727,"alternatives":57728,"api_compatible":16,"body":57729,"category":57109,"chinese_friendly":224,"cover":58155,"description":58156,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":58157,"lastVerified":2637,"meta":58158,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":58159,"pillar":22297,"platforms":58160,"priceTable":16,"pricing":58161,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":58162,"self_host":680,"seo":58163,"seoTitle":58164,"slug":58165,"sources":58166,"stem":58168,"suitable":16,"tagline":58169,"tags":58170,"updated":2637,"verdict":58173,"website":58140,"__hash__":58174},"tools\u002Ftools\u002Fcoding\u002Freview\u002Fdeepsource.md","DeepSource",[56691,56693,56694],{"type":18,"value":57730,"toc":58142},[57731,57733,57736,57739,57741,57791,57793,57811,57813,57820,57824,57844,57848,57872,57874,57897,57899,58017,58019,58059,58061,58090,58092,58098,58104,58110,58116,58118,58128,58130,58134],[21,57732,24],{"id":23},[26,57734,57735],{},"DeepSource 是一个 AI 驱动的代码质量平台，核心做两件事：静态分析（检测 bug、安全漏洞、性能问题、反模式、代码异味，支持 16+ 语言）和自动修复（检测到问题后自动生成修复 PR，merge 即修复）。集 Git 原生——GitHub \u002F GitLab \u002F Bitbucket 接入后，每个 PR 自动分析 + 评论 + 可选自动修复。有 Free \u002F Team \u002F Enterprise 三档。",[26,57737,57738],{},"适合：中大型工程团队需要持续代码质量治理、想自动化修复而非只报告问题、多语言技术栈（16+ 语言覆盖）。不适合：小团队 \u002F 个人（免费额度有限，CodeRabbit 更划算）、纯 LLM 代码审查需求（用 Qodo \u002F CodeRabbit）、需要自托管的开源场景（DeepSource 闭源 SaaS）。",[21,57740,34],{"id":34},[36,57742,57743,57749,57755,57761,57767,57773,57779,57785],{},[39,57744,57745,57748],{},[42,57746,57747],{},"16+ 语言静态分析","：Python \u002F JS \u002F TS \u002F Go \u002F Rust \u002F Java \u002F C \u002F C++ \u002F Ruby \u002F PHP \u002F Dart 等，语言覆盖最广的代码质量工具之一",[39,57750,57751,57754],{},[42,57752,57753],{},"自动修复（Autofix）","：检测到问题后自动生成修复 commit \u002F PR，团队 review 后 merge，把修复成本降到最低",[39,57756,57757,57760],{},[42,57758,57759],{},"多维度检测","：bug、安全漏洞（CWE\u002FCVE）、性能问题、反模式、代码异味、可维护性、测试覆盖率",[39,57762,57763,57766],{},[42,57764,57765],{},"PR 集成","：GitHub \u002F GitLab \u002F Bitbucket 原生集成，PR 自动分析 + inline 评论 + 严重级别标注",[39,57768,57769,57772],{},[42,57770,57771],{},"CI\u002FCD 集成","：GitHub Actions \u002F GitLab CI \u002F Jenkins \u002F CircleCI 深度集成，可做 quality gate 阻断低质量 PR",[39,57774,57775,57778],{},[42,57776,57777],{},"Code Metrics","：复杂度、重复代码、技术债量化、变更 churn 等指标趋势追踪",[39,57780,57781,57784],{},[42,57782,57783],{},"自定义规则","：Team 版以上支持自定义检测规则，适配团队编码规范",[39,57786,57787,57790],{},[42,57788,57789],{},"Secret 检测","：自动扫描 API key \u002F token \u002F 密码等敏感信息泄露",[21,57792,108],{"id":108},[36,57794,57795,57800,57806],{},[39,57796,57797,57799],{},[42,57798,843],{},"：3 个仓库 + 100K 行代码 \u002F 月，基础分析 + PR 集成，适合个人和小项目",[39,57801,57802,57805],{},[42,57803,57804],{},"Team $24\u002F用户\u002F月","（2026 年涨价，原 $12 的 Business 档已停）：无限仓库 + 自定义规则 + Autofix + 优先支持，适合小团队",[39,57807,57808,57810],{},[42,57809,833],{},"：联系销售，SSO \u002F SAML \u002F 审计日志 \u002F 私有部署 \u002F SLA \u002F 自定义合同",[21,57812,2241],{"id":2240},[130,57814,57815],{},[26,57816,2246,57817,57819],{},[42,57818,2249],{},"：以一个 Python 后端项目（~80K 行）接入 GitHub PR 的团队治理场景为例整理。",[26,57821,57822],{},[42,57823,143],{},[36,57825,57826,57829,57832,57835,57838,57841],{},[39,57827,57828],{},"接入极简——GitHub App 安装 + 选仓库，5 分钟开始分析，无需配 CI",[39,57830,57831],{},"PR 评论精准——指出问题 + 严重级别 + 建议修复方案，inline 在代码行上，review 时一目了然",[39,57833,57834],{},"Autofix 是杀手锏——常见问题（unused import、类型错误、简单 bug）自动生成修复 PR，merge 即修，省大量时间",[39,57836,57837],{},"语言覆盖广——Python + JS + Go 混合项目一个工具全覆盖，不用 SonarQube + ESLint + golangci-lint 拼凑",[39,57839,57840],{},"Code Metrics 仪表盘实用——技术债趋势、复杂度热力图，给管理层汇报有数据",[39,57842,57843],{},"Secret 检测拦住过一次 AWS key 误提交，PR 阶段就阻断",[26,57845,57846],{},[42,57847,168],{},[36,57849,57850,57853,57856,57863,57866,57869],{},[39,57851,57852],{},"Free 额度 100K 行很快用完——一个中型项目就超了，实际要上 Team 版",[39,57854,57855],{},"Autofix 不是万能——复杂重构 \u002F 设计层面的修复仍需人工，它擅长的是模式化修复",[39,57857,57858,57859,57862],{},"误报率中等——官方宣称低于 5%，但本站基于公开评测的主观评估偏高（约 10-15% 的 issue 需人工复核），需要配 ",[204,57860,57861],{},".deepsource.toml"," 忽略规则",[39,57864,57865],{},"Python 动态类型分析有局限——和 mypy \u002F pyright 比，类型推断不够深，部分问题检测不到",[39,57867,57868],{},"分析速度中等——大 PR（1000+ 行变更）分析需 2-3 分钟，不如 SonarQube 本地分析快",[39,57870,57871],{},"Enterprise 才有 SSO \u002F 审计——中大型企业必须上 Enterprise，Team 版安全合规功能不足",[21,57873,936],{"id":936},[630,57875,57876,57879,57882,57888,57891,57894],{},[39,57877,57878],{},"注册 deepsource.com 账号（GitHub \u002F GitLab OAuth）",[39,57880,57881],{},"安装 GitHub App \u002F GitLab 集成，选择要分析的仓库",[39,57883,57884,57885,57887],{},"添加 ",[204,57886,57861],{}," 到仓库根目录，配置启用哪些分析器",[39,57889,57890],{},"第一个 PR 自动触发分析——查看 inline 评论 + 严重级别",[39,57892,57893],{},"开启 Autofix——检测到的问题自动生成修复 PR",[39,57895,57896],{},"进阶：配 CI quality gate（分析不通过阻断 merge）+ 自定义规则",[21,57898,364],{"id":364},[366,57900,57901,57917],{},[369,57902,57903],{},[372,57904,57905,57907,57909,57911,57914],{},[375,57906,377],{},[375,57908,57727],{},[375,57910,56878],{},[375,57912,57913],{},"SonarQube",[375,57915,57916],{},"Qodo (PR-Agent)",[390,57918,57919,57932,57947,57960,57975,57989,58002],{},[372,57920,57921,57923,57925,57927,57929],{},[395,57922,2367],{},[395,57924,27040],{},[395,57926,27040],{},[395,57928,23232],{},[395,57930,57931],{},"SaaS \u002F 自托管",[372,57933,57934,57937,57940,57943,57945],{},[395,57935,57936],{},"语言覆盖",[395,57938,57939],{},"16+",[395,57941,57942],{},"LLM 通用",[395,57944,27081],{},[395,57946,57942],{},[372,57948,57949,57952,57954,57956,57958],{},[395,57950,57951],{},"自动修复",[395,57953,14629],{},[395,57955,426],{},[395,57957,426],{},[395,57959,1100],{},[372,57961,57962,57965,57968,57971,57973],{},[395,57963,57964],{},"分析方式",[395,57966,57967],{},"静态分析",[395,57969,57970],{},"LLM 审查",[395,57972,57967],{},[395,57974,57970],{},[372,57976,57977,57980,57983,57985,57987],{},[395,57978,57979],{},"误报率",[395,57981,57982],{},"中（官方 \u003C5%，本站主观评估偏高）",[395,57984,10650],{},[395,57986,2458],{},[395,57988,10650],{},[372,57990,57991,57993,57996,57998,58000],{},[395,57992,7433],{},[395,57994,57995],{},"❌ Enterprise",[395,57997,426],{},[395,57999,1100],{},[395,58001,1100],{},[372,58003,58004,58006,58009,58012,58015],{},[395,58005,9735],{},[395,58007,58008],{},"3 仓库 100K 行",[395,58010,58011],{},"无限仓库",[395,58013,58014],{},"社区版免费",[395,58016,49680],{},[21,58018,521],{"id":521},[36,58020,58021,58029,58035,58041,58047,58053],{},[39,58022,58023,58028],{},[42,58024,58025,58027],{},[204,58026,57861],{}," 要调","：默认规则全开误报多，花时间配 ignore \u002F severity 调整，否则 PR 评论噪音太大",[39,58030,58031,58034],{},[42,58032,58033],{},"Autofix 要 review","：自动修复偶尔改错方向（尤其逻辑修复），不能盲 merge，必须人工 review",[39,58036,58037,58040],{},[42,58038,58039],{},"Free 额度算清楚","：100K 行是所有仓库合计，多仓库很快超，预算 Team 版 $24\u002F人\u002F月",[39,58042,58043,58046],{},[42,58044,58045],{},"大 PR 分析慢","：拆小 PR 不仅分析快，Autofix 质量也更高——大 diff 时 LLM 上下文不够",[39,58048,58049,58052],{},[42,58050,58051],{},"别替代 lint","：DeepSource 和 ESLint \u002F Ruff \u002F golangci-lint 是互补的——DeepSource 偏跨文件 \u002F 安全 \u002F 设计层面，lint 偏格式 \u002F 简单规则，两者都配",[39,58054,58055,58058],{},[42,58056,58057],{},"动态语言分析有盲区","：Python \u002F Ruby \u002F JS 的动态类型分析深度有限，类型相关问题还是配 mypy \u002F pyright \u002F TypeScript",[21,58060,575],{"id":574},[36,58062,58063,58066,58069,58072,58075,58078,58081,58084,58087],{},[39,58064,58065],{},"✅ 中大型工程团队持续代码质量治理",[39,58067,58068],{},"✅ 多语言技术栈（Python + JS + Go 混合项目）",[39,58070,58071],{},"✅ 想自动化修复而非只报告问题（Autofix）",[39,58073,58074],{},"✅ 需要 PR 阶段质量 gate 阻断低质量代码",[39,58076,58077],{},"✅ 需要技术债量化和趋势追踪",[39,58079,58080],{},"❌ 个人 \u002F 小团队（CodeRabbit 免费额度更慷慨）",[39,58082,58083],{},"❌ 需要自托管 \u002F 开源（用 SonarQube Community）",[39,58085,58086],{},"❌ 纯 LLM 代码审查（用 Qodo \u002F CodeRabbit，更灵活）",[39,58088,58089],{},"❌ 预算敏感（Team 版 $24\u002F人\u002F月，大团队成本不低）",[21,58091,2552],{"id":2551},[26,58093,58094,58097],{},[42,58095,58096],{},"Q: DeepSource 和 SonarQube 怎么选？","\nA: SonarQube 是老牌静态分析，自托管为主，规则成熟但无自动修复。DeepSource 是 SaaS + Autofix，体验更现代但闭源。要自托管 + 开源选 SonarQube，要自动修复 + 零运维选 DeepSource。",[26,58099,58100,58103],{},[42,58101,58102],{},"Q: Autofix 准确率怎么样？","\nA: 模式化修复（import 清理、类型修正、简单 bug）准确率 80-90%，逻辑 \u002F 设计层面修复 50-60%。不能盲 merge，但省了大量机械性修复工作。",[26,58105,58106,58109],{},[42,58107,58108],{},"Q: 和 CodeRabbit 区别？","\nA: CodeRabbit 是 LLM 驱动的 PR 审查，更灵活、免费额度大，但无静态分析引擎、无自动修复。DeepSource 是传统静态分析 + AI 增强，规则更严格、有 Autofix，但闭源 SaaS。两者互补不冲突。",[26,58111,58112,58115],{},[42,58113,58114],{},"Q: 支持 GitLab \u002F Bitbucket 吗？","\nA: 支持。GitHub 集成最成熟，GitLab 次之，Bitbucket 基础支持。CI\u002FCD 方面 GitHub Actions \u002F GitLab CI \u002F Jenkins \u002F CircleCI 都有集成。",[21,58117,604],{"id":604},[26,58119,58120,2589,58124,2589,58126],{},[610,58121,58123],{"href":58122},"\u002Fcoding\u002Freview\u002Fsourcery.html","Sourcery",[610,58125,37019],{"href":37018},[610,58127,37023],{"href":37022},[21,58129,628],{"id":628},[130,58131,58132],{},[26,58133,2604],{},[36,58135,58136],{},[39,58137,58138],{},[610,58139,2613],{"href":58140,"rel":58141},"https:\u002F\u002Fdeepsource.com",[639],{"title":202,"searchDepth":250,"depth":250,"links":58143},[58144,58145,58146,58147,58148,58149,58150,58151,58152,58153,58154],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fdeepsource.webp","DeepSource 真实评测：AI 代码质量平台，静态分析 + 自动修复，支持 16+ 语言的 bug 检测、安全扫描、性能问题和反模式。CI\u002FCD 集成 + 自动修复 PR，Free + Team + Enterprise，适合需要持续代码质量治理的工程团队。",[697],{},"\u002Ftools\u002Fcoding\u002Freview\u002Fdeepsource",[704],"Free \u002F Team \u002F Enterprise",{"power":257,"ux":257,"price":250,"cn_support":224,"stability":257},{"title":57727,"description":58156},"DeepSource - AI 代码质量平台评测与使用 | AIHO","coding\u002Freview\u002Fdeepsource",[58167],{"title":2613,"url":58140},"tools\u002Fcoding\u002Freview\u002Fdeepsource","AI 代码质量平台，静态分析 + 自动修复",[57164,58171,58172,57168],"static-analysis","ci-cd","成熟的 AI 代码质量平台，16+ 语言静态分析 + 自动修复 PR 是核心卖点，适合中大型团队做持续代码质量治理；小团队 \u002F 个人用 CodeRabbit 更轻量，纯 LLM 审查用 Qodo 更灵活。","-i1Y2gAW7MT3eQyE4mJmwzgTd-lzx5zQVD8z-f1JoWk",{"id":58176,"title":56881,"alternatives":58177,"api_compatible":16,"body":58178,"category":57109,"chinese_friendly":224,"cover":58631,"description":58632,"domestic":680,"extension":681,"faq":58633,"free":680,"github":16,"languages":58646,"lastVerified":16,"meta":58647,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":57065,"pillar":22297,"platforms":58648,"priceTable":58649,"pricing":58657,"published":720,"relatedPlaybooks":58658,"relatedReviews":58659,"score":58660,"self_host":680,"seo":58661,"seoTitle":58662,"slug":56692,"sources":58663,"stem":58670,"suitable":16,"tagline":58671,"tags":58672,"updated":732,"verdict":58674,"website":58675,"__hash__":58676},"tools\u002Ftools\u002Fcoding\u002Freview\u002Fellipsis.md",[56691,56693,56694,57155],{"type":18,"value":58179,"toc":58619},[58180,58182,58185,58188,58190,58240,58242,58262,58267,58271,58275,58296,58300,58320,58322,58352,58354,58494,58496,58543,58545,58574,58576,58594,58596],[21,58181,24],{"id":23},[26,58183,58184],{},"Ellipsis 用 flat $20\u002Fdev\u002F月 + 公共仓库永久免费的定价，做到 AI PR 评审里『价格最厚道、机制最简单』那档。已在 67,000+ GitHub 仓库使用，SOC 2 认证、代码评审完即删。最有意思的功能是 @ellipsis-dev 评论生成 PR——在 issue \u002F PR 里写自然语言指令，几分钟后拿回跑过测试的 PR，build 失败它会自己重试 + 修。",[26,58186,58187],{},"适合：个人开发者 \u002F 小团队 \u002F 开源维护者；要『简单粗暴每人 $20 无限』预算可预测；GitHub-only 流水线。不适合：要 GitLab\u002FBitbucket（不支持）；中文重度团队；要 IDE\u002FCLI 多入口 + 40+ linter（用 CodeRabbit）；要 Codegraph 跨仓推理（用 Greptile）。",[21,58189,34],{"id":34},[36,58191,58192,58198,58204,58210,58216,58222,58228,58234],{},[39,58193,58194,58197],{},[42,58195,58196],{},"AI PR 评审","：line-by-line 评论 + 1-click 修复建议 + 风格学习",[39,58199,58200,58203],{},[42,58201,58202],{},"bug \u002F 反模式检测","：逻辑漏洞 \u002F 边界条件 \u002F 反模式即时标注",[39,58205,58206,58209],{},[42,58207,58208],{},"@ellipsis-dev 评论生成 PR","：在 issue \u002F PR 评论里写需求，AI 生成 PR + 跑测试 + 修 build",[39,58211,58212,58215],{},[42,58213,58214],{},"风格学习","：传英文风格指南，👍\u002F👎 反馈微调",[39,58217,58218,58221],{},[42,58219,58220],{},"GitHub-only 集成","：原生 GitHub App，2-click 接入",[39,58223,58224,58227],{},[42,58225,58226],{},"公共仓库永久免费","：开源项目零成本",[39,58229,58230,58233],{},[42,58231,58232],{},"SOC 2 认证 + 零数据保留","：评审完即删，不训练",[39,58235,58236,58239],{},[42,58237,58238],{},"Q&A","：在 PR 里 @bot 提问，回答带代码定位",[21,58241,108],{"id":108},[36,58243,58244,58250,58256],{},[39,58245,58246,58249],{},[42,58247,58248],{},"公共仓库","：完全免费、永久",[39,58251,58252,58255],{},[42,58253,58254],{},"私有 \u002F Team","：$20\u002Fdev\u002F月，无限 PR 评审 + 无限代码生成 + 无限 Q&A",[39,58257,58258,58261],{},[42,58259,58260],{},"无 LOC \u002F PR 配额","、无 token 超额 surge",[130,58263,58264],{},[26,58265,58266],{},"价格预测性最强：100 个开发者就是 $2000\u002F月，跟用量无关。",[21,58268,58270],{"id":58269},"实测5-人开源-私有混合仓库","实测（5 人开源 + 私有混合仓库）",[26,58272,58273],{},[42,58274,143],{},[36,58276,58277,58280,58283,58290,58293],{},[39,58278,58279],{},"公共仓库 0 成本接入，开源项目维护者直接白嫖",[39,58281,58282],{},"$20 flat 在所有 AI 评审里最简单：不需要算 LOC \u002F PR 数 \u002F token",[39,58284,58285,58286,58289],{},"@ellipsis-dev 真有用：在 issue 写 ",[204,58287,58288],{},"@ellipsis-dev 把 zh.json 的 errors.* 全翻译到 ja.json，跑 test:i18n","，3 分钟出 PR + 测试绿",[39,58291,58292],{},"风格学习实测有效，3 周后评论噪声明显下降",[39,58294,58295],{},"SOC 2 + 用完即删，企业评审过",[26,58297,58298],{},[42,58299,168],{},[36,58301,58302,58305,58308,58311,58314,58317],{},[39,58303,58304],{},"只支持 GitHub，GitLab \u002F Bitbucket \u002F Azure DevOps 团队完全不能用",[39,58306,58307],{},"没有 IDE 插件 + 没有 CLI（只能在 GitHub 网页 \u002F PR 评论用）",[39,58309,58310],{},"中文 PR 描述可识别，但回复英文为主",[39,58312,58313],{},"偶尔过度热心建议无关改动（可在评论说「stop suggesting renames」）",[39,58315,58316],{},"没有 Codegraph 级跨仓推理（找 Greptile）",[39,58318,58319],{},"没有 MCP \u002F Jira 集成，工单流追溯弱",[21,58321,936],{"id":936},[630,58323,58324,58327,58330,58333,58342,58349],{},[39,58325,58326],{},"ellipsis.dev → Install on GitHub → 选仓库（公开仓库随便选）",[39,58328,58329],{},"开一个 PR → 等几分钟看 inline 评论 + 概要",[39,58331,58332],{},"给 👍\u002F👎 反馈让它学风格",[39,58334,58335,58336,10831,58339],{},"上传英文风格指南：repo 根 ",[204,58337,58338],{},".ellipsis.yaml",[204,58340,58341],{},"style.md",[39,58343,58344,58345,58348],{},"在 issue 评论 ",[204,58346,58347],{},"@ellipsis-dev \u003C你的需求>"," → 等它生成 PR",[39,58350,58351],{},"私有仓库：升级 $20\u002Fdev → 一键加私有仓库",[21,58353,364],{"id":364},[366,58355,58356,58370],{},[369,58357,58358],{},[372,58359,58360,58362,58364,58366,58368],{},[375,58361,377],{},[375,58363,56881],{},[375,58365,56878],{},[375,58367,56875],{},[375,58369,57395],{},[390,58371,58372,58386,58402,58414,58427,58444,58457,58469,58481],{},[372,58373,58374,58377,58379,58382,58384],{},[395,58375,58376],{},"私有起价",[395,58378,57413],{},[395,58380,58381],{},"$24\u002F$30",[395,58383,57410],{},[395,58385,57416],{},[372,58387,58388,58391,58394,58397,58400],{},[395,58389,58390],{},"LOC \u002F PR 配额",[395,58392,58393],{},"❌ 无限",[395,58395,58396],{},"无私有 PR 限",[395,58398,58399],{},"5K LOC\u002Fseat",[395,58401,19697],{},[372,58403,58404,58406,58408,58410,58412],{},[395,58405,57424],{},[395,58407,57427],{},[395,58409,57427],{},[395,58411,426],{},[395,58413,57434],{},[372,58415,58416,58419,58421,58423,58425],{},[395,58417,58418],{},"@bot 生成 PR",[395,58420,1100],{},[395,58422,426],{},[395,58424,426],{},[395,58426,426],{},[372,58428,58429,58432,58435,58438,58441],{},[395,58430,58431],{},"Git 平台",[395,58433,58434],{},"GitHub-only",[395,58436,58437],{},"GitHub\u002FGitLab\u002FBitbucket\u002FAzure",[395,58439,58440],{},"GitHub\u002FGitLab\u002FBitbucket",[395,58442,58443],{},"GitHub\u002FGitLab",[372,58445,58446,58449,58451,58453,58455],{},[395,58447,58448],{},"IDE \u002F CLI",[395,58450,426],{},[395,58452,1100],{},[395,58454,1100],{},[395,58456,426],{},[372,58458,58459,58461,58463,58465,58467],{},[395,58460,57491],{},[395,58462,2458],{},[395,58464,4200],{},[395,58466,443],{},[395,58468,437],{},[372,58470,58471,58473,58475,58477,58479],{},[395,58472,56941],{},[395,58474,56944],{},[395,58476,1100],{},[395,58478,56731],{},[395,58480,1100],{},[372,58482,58483,58485,58487,58489,58491],{},[395,58484,22137],{},[395,58486,45098],{},[395,58488,56979],{},[395,58490,56979],{},[395,58492,58493],{},"SOC 2 Type II + HIPAA",[21,58495,521],{"id":521},[36,58497,58498,58504,58510,58516,58522,58531,58537],{},[39,58499,58500,58503],{},[42,58501,58502],{},"GitHub-only 锁死","：要 GitLab\u002FBitbucket 团队别选",[39,58505,58506,58509],{},[42,58507,58508],{},"@ellipsis-dev 别滥用","：生成 PR 会真改你的分支并跑 CI，工作流卡的时候自己 revert",[39,58511,58512,58515],{},[42,58513,58514],{},"风格指南要英文","：中文风格描述识别一般，关键规则用英文写",[39,58517,58518,58521],{},[42,58519,58520],{},"没 IDE = 不能本地评审","：commit 前评审需求走 CodeRabbit",[39,58523,58524,58527,58528,58530],{},[42,58525,58526],{},"过度热心","：偶尔建议无关改动，用 ",[204,58529,58338],{}," 限制范围或评论里制止",[39,58532,58533,58536],{},[42,58534,58535],{},"不要把它当 Codegraph 用","：跨仓 \u002F 大型重构推理走 Greptile",[39,58538,58539,58542],{},[42,58540,58541],{},"没 MCP \u002F Jira","：工单流深度集成走 CodeRabbit \u002F Bito",[21,58544,575],{"id":574},[36,58546,58547,58550,58553,58556,58559,58562,58565,58568,58571],{},[39,58548,58549],{},"✅ 个人开发者 \u002F 小团队 \u002F 开源维护者",[39,58551,58552],{},"✅ 公共仓库 + 永久 0 成本",[39,58554,58555],{},"✅ GitHub-only 流水线",[39,58557,58558],{},"✅ 要 @bot 生成 PR 这个 agent 能力",[39,58560,58561],{},"✅ 预算预测性 > 一切（flat 定价）",[39,58563,58564],{},"❌ GitLab \u002F Bitbucket 团队",[39,58566,58567],{},"❌ 中文母语团队（CodeRabbit \u002F Bito 更友好）",[39,58569,58570],{},"❌ 要 IDE \u002F CLI 多入口（CodeRabbit）",[39,58572,58573],{},"❌ Codegraph 跨仓推理（Greptile）",[21,58575,604],{"id":604},[36,58577,58578,58582,58586,58590],{},[39,58579,58580],{},[610,58581,57060],{"href":57059},[39,58583,58584],{},[610,58585,57614],{"href":57127},[39,58587,58588],{},[610,58589,57072],{"href":57071},[39,58591,58592],{},[610,58593,57078],{"href":57077},[21,58595,628],{"id":628},[630,58597,58598,58605,58612],{},[39,58599,58600,58601],{},"AI41 — Ellipsis 工具介绍（含 67K+ 仓库 \u002F $20 flat \u002F SOC 2）",[610,58602,58603],{"href":58603,"rel":58604},"https:\u002F\u002Fai41.org\u002Ftool\u002Fellipsis",[639],[39,58606,58607,58608],{},"Costbench — Ellipsis Pricing 2026 ",[610,58609,58610],{"href":58610,"rel":58611},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-code-review\u002Fellipsis",[639],[39,58613,58614,58615],{},"AIChief — Ellipsis Review 2026（\"unlimited usage, free for public GitHub repos\"）",[610,58616,58617],{"href":58617,"rel":58618},"https:\u002F\u002Faichief.com\u002Fai-code-assistant\u002Fellipsis\u002F",[639],{"title":202,"searchDepth":250,"depth":250,"links":58620},[58621,58622,58623,58624,58625,58626,58627,58628,58629,58630],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":58269,"depth":224,"text":58270},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fellipsis.webp","Ellipsis 真实评测：$20\u002Fdev\u002F月 flat、无限 PR 评审 + 代码生成 + Q&A，公共仓库永久免费。在 67,000+ GitHub 仓库使用，SOC 2 认证、用完即删。@ellipsis-dev 评论可生成 + 跑测试 + 修 build 的 PR。",[58634,58637,58640,58643],{"q":58635,"a":58636},"$20 真的无限吗？","是。Flat $20\u002Fdev\u002F月，无 PR 数 \u002F LOC \u002F token 上限，相对 CodeRabbit Pro $24 + 5K LOC 限制和 Bito Team $12 + 5K LOC + 超出 $5\u002F1K 的方案明显厚道。",{"q":58638,"a":58639},"@ellipsis-dev 是什么？","在 GitHub issue \u002F PR 评论里 `@ellipsis-dev 请加 OAuth 登录` 这样写，Ellipsis 几分钟后生成一个跑过测试的 PR；build 红了它会自己重试 + 修。算半个 SWE agent。",{"q":58641,"a":58642},"和 CodeRabbit 怎么选？","Ellipsis 价格更厚道（$20 flat vs CodeRabbit Pro $24 + 配额）+ 有 @ellipsis-dev 评论生成 PR 这个杀手锏；但 CodeRabbit 在 IDE\u002FCLI 多入口 + 40+ linter + MCP 生态 + 多语言文档上更成熟。预算紧 \u002F 个人维护者 \u002F 公共仓库走 Ellipsis；企业团队 + 多平台 + 完整 linter 走 CodeRabbit。",{"q":58644,"a":58645},"支持中文吗？","界面 \u002F 评论默认英文，PR 描述用中文可识别，但评论回复以英文为主。中文母语团队体验不如 CodeRabbit \u002F Bito。",[697],{},[24207,22299],[58650,58653],{"plan":58248,"price":707,"features":58651,"notes":58652},"完整功能 + 无限评审 + 代码生成 + Q&A","永久免费、SOC 2、代码用完即删",{"plan":58254,"price":58654,"features":58655,"notes":58656},"$20\u002Fdev\u002F月","无限 PR 评审 + @ellipsis-dev 评论生成 PR + 风格学习 + bug 检测","Flat，无 LOC 限制","公共仓库免费 \u002F 私有 $20\u002Fdev\u002F月 无限",[57151],[57706],{"power":257,"ux":257,"price":264,"cn_support":224,"stability":257},{"title":56881,"description":58632},"Ellipsis 评测 2026：AI 代码审查 Agent，自动修复 Bug，PR 质量保障",[58664,58666,58668],{"name":58665,"url":58603,"accessed":732},"AI41 — Ellipsis 介绍",{"name":58667,"url":58610,"accessed":732},"Costbench — Ellipsis Pricing 2026",{"name":58669,"url":58617,"accessed":732},"AIChief — Ellipsis Review 2026","tools\u002Fcoding\u002Freview\u002Fellipsis","$20\u002Fdev\u002F月 flat 无限——AI 评审 + 从 GitHub 评论生成 PR + 67K+ 仓库使用、公共项目永久免费",[57164,57165,24207,700,22335,58673],"flat-pricing","$20\u002Fdev flat 无限 PR 评审 + 公共仓库免费——价格最厚道的 AI 评审 SaaS。要 IDE\u002FCLI 多入口 + 40+ linter 生态走 CodeRabbit；要 Codegraph 跨仓走 Greptile。","https:\u002F\u002Fwww.ellipsis.dev","ySKWMhrTw68F5SNXgCw4DIPpcWp_ZgrfBh5kYra6FYc",{"id":58678,"title":57395,"alternatives":58679,"api_compatible":16,"body":58680,"category":57109,"chinese_friendly":224,"cover":59134,"description":59135,"domestic":680,"extension":681,"faq":59136,"free":680,"github":16,"languages":59147,"lastVerified":16,"meta":59148,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":57071,"pillar":22297,"platforms":59149,"priceTable":59150,"pricing":59161,"published":720,"relatedPlaybooks":59162,"relatedReviews":59163,"score":59164,"self_host":253,"seo":59165,"seoTitle":59166,"slug":56693,"sources":59167,"stem":59174,"suitable":16,"tagline":59175,"tags":59176,"updated":732,"verdict":59177,"website":59178,"__hash__":59179},"tools\u002Ftools\u002Fcoding\u002Freview\u002Fgreptile.md",[56691,56692,56694,57155],{"type":18,"value":58681,"toc":59122},[58682,58684,58687,58690,58692,58765,58767,58784,58789,58793,58797,58817,58821,58840,58842,58871,58873,58994,58996,59046,59048,59077,59079,59097,59099],[21,58683,24],{"id":23},[26,58685,58686],{},"Greptile 把整个代码库建成一张图——function \u002F variable \u002F class \u002F file \u002F dir + 依赖全 indexed，评审一个 diff 时顺着图拉相关代码当上下文，跨文件 ripple effect 推理在同类里最强。Agent v4（2026-03-05）让每 PR 被采纳评论数 +74%，多模型架构含 NVIDIA Nemotron 3 Ultra。SOC 2 Type II + HIPAA + 自托管 air-gapped 选项。2026-03-05 起从纯订阅转 base + usage 定价，联系销售报价。",[26,58688,58689],{},"适合：大型 \u002F 跨仓 monorepo、遗留代码、HIPAA \u002F 医疗 \u002F 金融强合规、Next.js \u002F Node.js 中后期初创。不适合：小项目（Ellipsis $20 flat 更划算）；要 IDE\u002FCLI 多入口（CodeRabbit）；GitHub\u002FGitLab 之外平台（不支持 Bitbucket\u002FAzure）。",[21,58691,34],{"id":34},[36,58693,58694,58700,58706,58712,58718,58724,58734,58743,58749,58755,58760],{},[39,58695,58696,58699],{},[42,58697,58698],{},"Complete Codebase Context","：仓库代码图（function\u002Fvariable\u002Fclass\u002Ffile\u002Fdir + 依赖）；评审时拉相关 + 依赖 + 相似代码",[39,58701,58702,58705],{},[42,58703,58704],{},"Context-Aware Inline Comments","：跨文件 bug \u002F 安全 \u002F 反模式标注，并解释 ripple effect",[39,58707,58708,58711],{},[42,58709,58710],{},"Custom Coding Standards","：英文写规则 \u002F 链接已有文档，跨仓库强制执行",[39,58713,58714,58717],{},[42,58715,58716],{},"Continuous Learning","：读 reviewer 评论 + 👍\u002F👎 反应，团队风格越用越准",[39,58719,58720,58723],{},[42,58721,58722],{},"PR Summaries + 时序图","：file-by-file 拆解 + 置信度评分 + Mermaid sequence diagram",[39,58725,58726,58729,58730,58733],{},[42,58727,58728],{},"Conversation","：在 PR 评论里 ",[204,58731,58732],{},"@greptileai \u003C问题>"," 跟进",[39,58735,58736,5072,58739,58742],{},[42,58737,58738],{},"Pattern Repos",[204,58740,58741],{},"greptile.json"," 配 patternsRepo（如 backend 仓引用 frontend 仓上下文）",[39,58744,58745,58748],{},[42,58746,58747],{},"30+ 语言","：Python\u002FJS\u002FTS\u002FGo\u002FRust\u002FJava\u002FC++ 等",[39,58750,58751,58754],{},[42,58752,58753],{},"API","：HTTP\u002FJSON-RPC 模式，100 req\u002Fh\u002FIP",[39,58756,58757],{},[42,58758,58759],{},"SOC 2 Type II + HIPAA + 自托管 air-gapped",[39,58761,58762,58764],{},[42,58763,1120],{},"：含 NVIDIA Nemotron 3 Ultra 等",[21,58766,108],{"id":108},[36,58768,58769,58774,58779],{},[39,58770,58771,58773],{},[42,58772,843],{},"：基础评审 + 限额",[39,58775,58776,58778],{},[42,58777,849],{},"：base + usage（2026-03-05 起），按仓库数 + PR 量 + 用量计费，联系销售",[39,58780,58781,58783],{},[42,58782,833],{},"：自定义；自托管 \u002F air-gapped + SSO + HIPAA + 多 org",[130,58785,58786],{},[26,58787,58788],{},"旧 $30\u002Fseat 订阅档已迁移；新模型对大代码库友好但报价需 quote。",[21,58790,58792],{"id":58791},"实测nextjs-go-后端-monorepo-series-b-团队","实测（Next.js + Go 后端 monorepo \u002F Series B 团队）",[26,58794,58795],{},[42,58796,143],{},[36,58798,58799,58802,58805,58808,58811,58814],{},[39,58800,58801],{},"跨文件追依赖是真本事：改一个 schema，它能标出 12 处 query 受影响，提前给迁移建议",[39,58803,58804],{},"PR 时序图（Mermaid）对 reviewer 友好，5 秒看懂改动主轴",[39,58806,58807],{},"自定义 standards 用英文写直接，几条规则覆盖 80% 团队风格",[39,58809,58810],{},"反馈学习有效，2 周后噪声明显降",[39,58812,58813],{},"patternsRepo 让 backend 评审能引用 frontend 仓，避免 API 契约脱节",[39,58815,58816],{},"HIPAA 自托管对医疗团队几乎是唯一可选",[26,58818,58819],{},[42,58820,168],{},[36,58822,58823,58826,58829,58832,58834,58837],{},[39,58824,58825],{},"不支持 Bitbucket \u002F Azure DevOps",[39,58827,58828],{},"没有 IDE \u002F CLI（GitHub\u002FGitLab 网页和 PR 内）",[39,58830,58831],{},"2026-03 转 base + usage 后小项目反而变贵——10 人左右团队对比 Ellipsis $20 flat 不划算",[39,58833,25547],{},[39,58835,58836],{},"没有 40+ linter 集成（不像 CodeRabbit）",[39,58838,58839],{},"大代码库首次 indexing 耗时长（>50 万 LOC 可能数小时）",[21,58841,936],{"id":936},[630,58843,58844,58847,58850,58853,58860,58865,58868],{},[39,58845,58846],{},"greptile.com → Install on GitHub\u002FGitLab → 选仓库",[39,58848,58849],{},"等首次 indexing（看仓库大小，几分钟至几小时）",[39,58851,58852],{},"开 PR 试评 → 看跨文件评论 + 时序图",[39,58854,58855,58856,58859],{},"在 PR 评论里 ",[204,58857,58858],{},"@greptileai \u003Cfollow-up>"," 跟进对话",[39,58861,22655,58862,58864],{},[204,58863,58741],{},"：自定义 standards + patternsRepo",[39,58866,58867],{},"给 👍\u002F👎 训风格",[39,58869,58870],{},"大型项目：考虑 Enterprise 自托管 + 多仓 indexing",[21,58872,364],{"id":364},[366,58874,58875,58889],{},[369,58876,58877],{},[372,58878,58879,58881,58883,58885,58887],{},[375,58880,377],{},[375,58882,57395],{},[375,58884,56878],{},[375,58886,56881],{},[375,58888,56884],{},[390,58890,58891,58904,58917,58929,58941,58954,58967,58980],{},[372,58892,58893,58896,58898,58900,58902],{},[395,58894,58895],{},"Codegraph \u002F 跨文件",[395,58897,40875],{},[395,58899,57477],{},[395,58901,56944],{},[395,58903,21837],{},[372,58905,58906,58909,58911,58913,58915],{},[395,58907,58908],{},"大代码库 \u002F monorepo",[395,58910,16382],{},[395,58912,1100],{},[395,58914,2458],{},[395,58916,1100],{},[372,58918,58919,58921,58923,58925,58927],{},[395,58920,58448],{},[395,58922,426],{},[395,58924,1100],{},[395,58926,426],{},[395,58928,1100],{},[372,58930,58931,58933,58935,58937,58939],{},[395,58932,57491],{},[395,58934,437],{},[395,58936,4200],{},[395,58938,2458],{},[395,58940,2458],{},[372,58942,58943,58945,58947,58950,58952],{},[395,58944,58431],{},[395,58946,58443],{},[395,58948,58949],{},"+ Bitbucket\u002FAzure",[395,58951,58434],{},[395,58953,58440],{},[372,58955,58956,58959,58961,58963,58965],{},[395,58957,58958],{},"HIPAA",[395,58960,1100],{},[395,58962,437],{},[395,58964,437],{},[395,58966,437],{},[372,58968,58969,58971,58974,58976,58978],{},[395,58970,7433],{},[395,58972,58973],{},"Enterprise air-gapped",[395,58975,833],{},[395,58977,437],{},[395,58979,833],{},[372,58981,58982,58985,58987,58990,58992],{},[395,58983,58984],{},"定价",[395,58986,57416],{},[395,58988,58989],{},"$24\u002F$30 + CLI add-on",[395,58991,57413],{},[395,58993,20417],{},[21,58995,521],{"id":521},[36,58997,58998,59004,59010,59016,59022,59028,59034,59040],{},[39,58999,59000,59003],{},[42,59001,59002],{},"不要把它当中小项目工具用","：base + usage 起步成本对 \u003C10 人团队不友好，先 Ellipsis $20 flat",[39,59005,59006,59009],{},[42,59007,59008],{},"首次 indexing 别在交付前夜跑","：大 monorepo 几小时起步，提前一天接",[39,59011,59012,59015],{},[42,59013,59014],{},"patternsRepo 别拉无关仓","：拉得多 → 噪声增、token 消耗增",[39,59017,59018,59021],{},[42,59019,59020],{},"自定义 standards 用英文","：中文规则识别准确度低于英文",[39,59023,59024,59027],{},[42,59025,59026],{},"HIPAA \u002F 强合规走 Enterprise","：自托管 + air-gapped 才完整覆盖",[39,59029,59030,59033],{},[42,59031,59032],{},"没 IDE = 没本地评审","：commit 前评审走 CodeRabbit",[39,59035,59036,59039],{},[42,59037,59038],{},"API 限流","：100 req\u002Fh\u002FIP，CI 集成要 token bucket",[39,59041,59042,59045],{},[42,59043,59044],{},"多模型路由不透明","：要可重复结果在 Enterprise 谈固定模型",[21,59047,575],{"id":574},[36,59049,59050,59053,59056,59059,59062,59065,59068,59071,59074],{},[39,59051,59052],{},"✅ 大型 monorepo \u002F 跨仓推理",[39,59054,59055],{},"✅ 遗留代码 \u002F 复杂依赖",[39,59057,59058],{},"✅ HIPAA \u002F 医疗 \u002F 金融强合规",[39,59060,59061],{},"✅ Next.js \u002F Node.js 中后期初创",[39,59063,59064],{},"✅ 自托管 \u002F air-gapped 要求",[39,59066,59067],{},"❌ 小项目 \u002F 个人开发者（用 Ellipsis）",[39,59069,59070],{},"❌ IDE \u002F CLI 多入口需求（用 CodeRabbit）",[39,59072,59073],{},"❌ Bitbucket \u002F Azure DevOps",[39,59075,59076],{},"❌ 中文母语团队",[21,59078,604],{"id":604},[36,59080,59081,59085,59089,59093],{},[39,59082,59083],{},[610,59084,57060],{"href":57059},[39,59086,59087],{},[610,59088,57066],{"href":57065},[39,59090,59091],{},[610,59092,57078],{"href":57077},[39,59094,59095],{},[610,59096,57614],{"href":57127},[21,59098,628],{"id":628},[630,59100,59101,59108,59115],{},[39,59102,59103,59104],{},"Stork.AI — Greptile Review 2026（含 Agent v4 \u002F Nemotron 3 Ultra \u002F HIPAA）",[610,59105,59106],{"href":59106,"rel":59107},"https:\u002F\u002Fwww.stork.ai\u002Fen\u002Fgreptile",[639],[39,59109,59110,59111],{},"Stackviv — Greptile Review 2026 ",[610,59112,59113],{"href":59113,"rel":59114},"https:\u002F\u002Fstackviv.ai\u002Fai-tools\u002Fgreptile",[639],[39,59116,59117,59118],{},"Greptile 官方文档 — Key Features（Codebase Context \u002F Pattern Repos \u002F RL 反馈）",[610,59119,59120],{"href":59120,"rel":59121},"https:\u002F\u002Fwww.greptile.com\u002Fdocs\u002Fcode-review-bot\u002Fkey-features",[639],{"title":202,"searchDepth":250,"depth":250,"links":59123},[59124,59125,59126,59127,59128,59129,59130,59131,59132,59133],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":58791,"depth":224,"text":58792},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fgreptile.webp","Greptile 真实评测：把整个仓库建成代码图（function\u002Fvariable\u002Fclass\u002Ffile\u002Fdir + 依赖），评审时跨文件追 ripple effect。Agent v4（2026-03）addressed comments per PR +74%；多模型架构含 NVIDIA Nemotron 3 Ultra；SOC 2 Type II + HIPAA；2026-03-05 转 base+usage 定价。",[59137,59140,59143,59145],{"q":59138,"a":59139},"Greptile 强在哪？","Codegraph——把整个仓库（function\u002Fvariable\u002Fclass\u002Ffile\u002Fdir\u002F依赖）建成图，评审一个 diff 时不是只看变更那几行，而是顺着图把『相关代码 + 依赖代码 + 相似代码』全拉出来当上下文。30+ 文件的大型 PR \u002F 跨多模块的改动，它比 CodeRabbit \u002F Ellipsis 看得更深。",{"q":59141,"a":59142},"Agent v4 是什么？","2026-03-05 发布，对比 v3『每 PR 被采纳的评论数』提升 74%；底层多模型架构含 NVIDIA Nemotron 3 Ultra。",{"q":58641,"a":59144},"都用代码图但侧重不同：Greptile 在跨文件 \u002F 大代码库 \u002F 遗留系统推理上更强、HIPAA 合规更完整。CodeRabbit 在 IDE\u002FCLI 多入口、40+ linter 集成、MCP 生态、开源仓库无限免费上更广。大型 monorepo + 强合规 + 不要 IDE\u002FCLI 走 Greptile；其余场景走 CodeRabbit。",{"q":58644,"a":59146},"纯英文产品，仅 GitHub + GitLab。中文母语团队体验有限。",[697],{},[24207,57131],[59151,59154,59158],{"plan":843,"price":707,"features":59152,"notes":59153},"基础 AI PR 评审 + 限额","试水 \u002F 小项目",{"plan":849,"price":59155,"features":59156,"notes":59157},"base + usage（2026-03-05 起）","更多仓库 + PR 量 + Codegraph + 自定义标准 + 反馈学习","联系销售按规模报价",{"plan":833,"price":716,"features":59159,"notes":59160},"自托管 \u002F air-gapped + SSO + HIPAA + 多 org + API 100 req\u002Fh\u002FIP","针对大企业 \u002F 强合规","Freemium \u002F base + usage（2026-03-05 起） \u002F Enterprise self-host",[57151],[57706],{"power":264,"ux":257,"price":250,"cn_support":224,"stability":257},{"title":57395,"description":59135},"Greptile 评测 2026：AI 代码审查，Codegraph 跨文件推理",[59168,59170,59172],{"name":59169,"url":59106,"accessed":732},"Stork.AI — Greptile Review 2026",{"name":59171,"url":59113,"accessed":732},"Stackviv — Greptile Review 2026",{"name":59173,"url":59120,"accessed":732},"Greptile 官方文档 — Key Features","tools\u002Fcoding\u002Freview\u002Fgreptile","Codegraph 跨文件推理 + Agent v4——把整个代码库建图，理解 ripple effect 的 AI 评审",[57164,57165,57722,26083,22335,1392],"Codegraph 跨文件推理是同类里最强——大型 \u002F 跨仓库 \u002F 遗留代码评审首选。$24 flat 极简定价走 Ellipsis；IDE\u002FCLI\u002FMCP 多入口走 CodeRabbit；HIPAA + 自托管 + 大代码库走 Greptile。","https:\u002F\u002Fwww.greptile.com","--2BTdv-8Pg7zE61afUwOee2tTe4bx8S63c2q5S-zz0",{"id":59181,"title":56884,"alternatives":59182,"api_compatible":16,"body":59183,"category":57109,"chinese_friendly":250,"cover":59647,"description":59648,"domestic":680,"extension":681,"faq":59649,"free":680,"github":16,"languages":59661,"lastVerified":16,"meta":59662,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":57077,"pillar":22297,"platforms":59663,"priceTable":59664,"pricing":59676,"published":720,"relatedPlaybooks":59677,"relatedReviews":59679,"score":59680,"self_host":253,"seo":59681,"seoTitle":59682,"slug":56694,"sources":59683,"stem":59692,"suitable":16,"tagline":59693,"tags":59694,"updated":732,"verdict":59698,"website":59699,"__hash__":59700},"tools\u002Ftools\u002Fcoding\u002Freview\u002Fqodo.md",[56691,56692,56693,57155],{"type":18,"value":59184,"toc":59635},[59185,59187,59190,59193,59195,59255,59257,59287,59292,59296,59300,59324,59328,59345,59347,59373,59375,59501,59503,59553,59555,59581,59583,59603,59605],[21,59186,24],{"id":23},[26,59188,59189],{},"Qodo（前 CodiumAI，2024 改名）把 AI 代码评审 + 自动测试生成 + IDE 助手做成『三件套』——Qodo Merge（PR 评审）+ Qodo Cover（回归测试 agent）+ Qodo Gen（IDE 代码 + 测试生成）。Developer 永久免费（30 PR\u002F月组织池），Teams $30\u002Fseat\u002F月（年付），Enterprise BYOK + on-prem。开源 PR-Agent 是其评审引擎底座，多模型（Claude \u002F OpenAI \u002F 其他）+ Living Rules + Context Engine。",[26,59191,59192],{},"适合：test coverage 低 \u002F 单测需要 AI 大量补全的团队、要 PR 评审 + 测试生成一体的中大型 dev org、Enterprise 要 BYOK \u002F on-prem 治理。不适合：纯 PR 评审且预算紧（CodeRabbit \u002F Ellipsis 更便宜）、个人开发者重度（30 PR 组织池可能不够）、要 MCP \u002F Jira 深度集成（CodeRabbit \u002F Bito 更广）。",[21,59194,34],{"id":34},[36,59196,59197,59203,59209,59215,59220,59226,59232,59238,59244,59250],{},[39,59198,59199,59202],{},[42,59200,59201],{},"Qodo Merge","：agentic PR 评审，GitHub\u002FGitLab\u002FBitbucket，line-by-line + 跨文件 + 概要",[39,59204,59205,59208],{},[42,59206,59207],{},"Qodo Cover","：autonomous regression-testing agent，生成 + 验证测试",[39,59210,59211,59214],{},[42,59212,59213],{},"Qodo Gen","：VS Code \u002F JetBrains IDE 插件，代码 + 测试 + chat",[39,59216,59217,59219],{},[42,59218,2370],{},"：terminal agentic 质量工作流",[39,59221,59222,59225],{},[42,59223,59224],{},"Living Rules System","：从 codebase + PR 历史自学习规则、可编辑、跨仓 enforce",[39,59227,59228,59231],{},[42,59229,59230],{},"Multi-repo Context Engine","：跨仓推理大代码库",[39,59233,59234,59237],{},[42,59235,59236],{},"Model-flexible","：Claude \u002F OpenAI \u002F 其他；Enterprise BYOK",[39,59239,59240,59243],{},[42,59241,59242],{},"Open Source 底座","：PR-Agent（widely adopted OSS PR 评审引擎）",[39,59245,59246,59249],{},[42,59247,59248],{},"Governance","：仪表盘 \u002F 分析 \u002F SSO \u002F SAML \u002F 审计日志（Enterprise）",[39,59251,59252,59254],{},[42,59253,14661],{},"：cloud SaaS \u002F 单租户 \u002F on-prem（Enterprise）",[21,59256,108],{"id":108},[36,59258,59259,59265,59270,59275,59281],{},[39,59260,59261,59264],{},[42,59262,59263],{},"Developer (Free)","：30 PR 评审\u002F月（组织池）+ 250 IDE\u002FCLI credits\u002F月 + 社区支持",[39,59266,59267,59269],{},[42,59268,23132],{},"：$30\u002Fseat\u002F月（年）≈ $38\u002Fseat\u002F月（月付），更高 credits + agentic PR + Living Rules + 仪表盘",[39,59271,59272,59274],{},[42,59273,833],{},"：定制；SSO\u002FSAML + 审计 + BYOK + 跨仓上下文 + on-prem + SLA",[39,59276,59277,59280],{},[42,59278,59279],{},"14 天免费试用","：解锁 unlimited，无信用卡",[39,59282,59283,59286],{},[42,59284,59285],{},"Qodo for Open Source","：合格 OSS 项目免费",[130,59288,59289],{},[26,59290,59291],{},"注意：30 PR 是『组织池共享』而非每人 30，\u003C10 人小团队 Developer 档够用，>10 人很快吃完。",[21,59293,59295],{"id":59294},"实测15-人-saas-python-tslow-test-coverage","实测（15 人 SaaS \u002F Python + TS、low test coverage）",[26,59297,59298],{},[42,59299,143],{},[36,59301,59302,59305,59308,59315,59318,59321],{},[39,59303,59304],{},"Qodo Cover 自动给老代码补单测：3 周补了 1200+ tests，coverage 从 38% 升到 71%",[39,59306,59307],{},"Qodo Merge 评审质量稳定，agentic 模式跨文件推理 OK",[39,59309,59310,59311,59314],{},"Qodo Gen IDE 插件 ",[204,59312,59313],{},"\u002Ftest"," 命令直接生成函数级单测 + 边界用例",[39,59316,59317],{},"Living Rules 自学习有效，团队架构约定固化后跨仓评审一致",[39,59319,59320],{},"多模型 + BYOK（Enterprise）合规友好",[39,59322,59323],{},"开源 PR-Agent 给小项目 \u002F 试水零成本路径",[26,59325,59326],{},[42,59327,168],{},[36,59329,59330,59333,59336,59339,59342],{},[39,59331,59332],{},"定价方式『令人困惑』：官网 emphasize credit-based 但 per-user tiers 也在流通，预算难算",[39,59334,59335],{},"Credits 按模型消耗不同，token-heavy 模型烧得快",[39,59337,59338],{},"免费 PR 配额从 75 降到 30（组织池），团队 share 紧",[39,59340,59341],{},"Teams $30 比 CodeRabbit Pro $24 贵 25%",[39,59343,59344],{},"中文场景体验一般",[21,59346,936],{"id":936},[630,59348,59349,59352,59355,59358,59364,59367,59370],{},[39,59350,59351],{},"qodo.ai → 选 Developer Free → GitHub \u002F GitLab \u002F Bitbucket App 接入",[39,59353,59354],{},"装 VS Code 或 JetBrains 插件（Qodo Gen）",[39,59356,59357],{},"在 PR 上看 Qodo Merge 评论",[39,59359,59360,59361,59363],{},"在 IDE 选函数 → ",[204,59362,59313],{}," 生成单测",[39,59365,59366],{},"启 Qodo Cover：选目标模块 \u002F coverage 目标 → 跑 agent",[39,59368,59369],{},"配 Living Rules：从仓库 PR 历史自动学，或手动添加",[39,59371,59372],{},"进阶：BYOK \u002F on-prem 走 Enterprise",[21,59374,364],{"id":364},[366,59376,59377,59391],{},[369,59378,59379],{},[372,59380,59381,59383,59385,59387,59389],{},[375,59382,377],{},[375,59384,56884],{},[375,59386,56878],{},[375,59388,57395],{},[375,59390,56881],{},[390,59392,59393,59407,59421,59435,59448,59461,59473,59487],{},[372,59394,59395,59398,59401,59403,59405],{},[395,59396,59397],{},"PR 评审",[395,59399,59400],{},"✅ Qodo Merge",[395,59402,1100],{},[395,59404,1100],{},[395,59406,1100],{},[372,59408,59409,59412,59415,59417,59419],{},[395,59410,59411],{},"自动测试生成",[395,59413,59414],{},"✅ Qodo Cover 独家",[395,59416,426],{},[395,59418,426],{},[395,59420,426],{},[372,59422,59423,59426,59429,59431,59433],{},[395,59424,59425],{},"IDE",[395,59427,59428],{},"✅ Qodo Gen",[395,59430,1100],{},[395,59432,426],{},[395,59434,426],{},[372,59436,59437,59439,59441,59444,59446],{},[395,59438,2370],{},[395,59440,1100],{},[395,59442,59443],{},"✅ + agent",[395,59445,426],{},[395,59447,426],{},[372,59449,59450,59452,59454,59457,59459],{},[395,59451,1152],{},[395,59453,57419],{},[395,59455,59456],{},"Pro $24",[395,59458,57416],{},[395,59460,57413],{},[372,59462,59463,59465,59467,59469,59471],{},[395,59464,57424],{},[395,59466,57437],{},[395,59468,57427],{},[395,59470,57434],{},[395,59472,57427],{},[372,59474,59475,59478,59481,59483,59485],{},[395,59476,59477],{},"自托管 \u002F BYOK",[395,59479,59480],{},"✅ Enterprise",[395,59482,833],{},[395,59484,833],{},[395,59486,437],{},[372,59488,59489,59492,59495,59497,59499],{},[395,59490,59491],{},"开源底座",[395,59493,59494],{},"✅ PR-Agent",[395,59496,426],{},[395,59498,426],{},[395,59500,426],{},[21,59502,521],{"id":521},[36,59504,59505,59511,59517,59523,59529,59535,59541,59547],{},[39,59506,59507,59510],{},[42,59508,59509],{},"30 PR\u002F月是组织池别理解错","：>10 人团队 Free 档极快用完，Teams 几乎必然",[39,59512,59513,59516],{},[42,59514,59515],{},"Credit 消耗与模型相关","：选大模型时设预算告警",[39,59518,59519,59522],{},[42,59520,59521],{},"Qodo Cover 不要全代码库跑","：先在低 coverage 模块小范围验证，看生成测试质量再放大",[39,59524,59525,59528],{},[42,59526,59527],{},"Living Rules 别一次性导太多","：渐进引入，避免噪声",[39,59530,59531,59534],{},[42,59532,59533],{},"测试质量需 review","：AI 生成的测试要看是否真正断言而不是 happy-path",[39,59536,59537,59540],{},[42,59538,59539],{},"BYOK 仅 Enterprise","：合规预算要先确认",[39,59542,59543,59546],{},[42,59544,59545],{},"Qodo Gen IDE 占 IDE credits","：高频用要观察额度，必要时上 Teams",[39,59548,59549,59552],{},[42,59550,59551],{},"开源 PR-Agent 仍维护","：极低预算 \u002F 完全自托管走 PR-Agent",[21,59554,575],{"id":574},[36,59556,59557,59560,59563,59566,59569,59572,59575,59578],{},[39,59558,59559],{},"✅ test coverage 低 \u002F 需要 AI 补单测的团队",[39,59561,59562],{},"✅ PR 评审 + 测试生成一体化需求",[39,59564,59565],{},"✅ Enterprise BYOK \u002F on-prem \u002F 强治理",[39,59567,59568],{},"✅ 多 IDE + 多 Git 平台覆盖",[39,59570,59571],{},"✅ 合格 OSS 项目（Qodo for Open Source 免费）",[39,59573,59574],{},"❌ 纯 PR 评审 + 预算紧（CodeRabbit \u002F Ellipsis）",[39,59576,59577],{},"❌ 个人开发者重度（组织池配额吃紧）",[39,59579,59580],{},"❌ MCP \u002F Jira 深度集成（CodeRabbit \u002F Bito）",[21,59582,604],{"id":604},[36,59584,59585,59589,59593,59597],{},[39,59586,59587],{},[610,59588,57060],{"href":57059},[39,59590,59591],{},[610,59592,57066],{"href":57065},[39,59594,59595],{},[610,59596,57072],{"href":57071},[39,59598,59599],{},[610,59600,59602],{"href":59601},"\u002Fplaybook\u002Fonboarding\u002Fai-unit-test-coverage","AI 单测覆盖率攻坚 Playbook",[21,59604,628],{"id":628},[630,59606,59607,59614,59621,59628],{},[39,59608,59609,59610],{},"Qodo 官网 — 产品三件套介绍 ",[610,59611,59612],{"href":59612,"rel":59613},"https:\u002F\u002Fwww.qodo.ai\u002F",[639],[39,59615,59616,59617],{},"Toolchase — Qodo Review 2026（含 Developer 30 PR \u002F Teams $30 \u002F Enterprise 细节）",[610,59618,59619],{"href":59619,"rel":59620},"https:\u002F\u002Ftoolchase.com\u002Ftool\u002Fqodo",[639],[39,59622,59623,59624],{},"Pickuma — Qodo Review 2026（Qodo Merge + PR-Agent 开源） ",[610,59625,59626],{"href":59626,"rel":59627},"https:\u002F\u002Fpickuma.com\u002Ffor-dev\u002Fqodo-review-ai-test-generation-pr-review-2026",[639],[39,59629,59630,59631],{},"DEV.to — Qodo AI Review 2026 ",[610,59632,59633],{"href":59633,"rel":59634},"https:\u002F\u002Fdev.to\u002Frahulxsingh\u002Fqodo-ai-review-2026-is-it-the-best-ai-testing-tool-31hj",[639],{"title":202,"searchDepth":250,"depth":250,"links":59636},[59637,59638,59639,59640,59641,59642,59643,59644,59645,59646],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":59294,"depth":224,"text":59295},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fqodo.webp","Qodo 真实评测（前 CodiumAI 2024 改名）：Qodo Merge PR 评审 + Qodo Cover 测试生成 + Qodo Gen IDE 助手。Developer Free（30 PR\u002F月组织池 + 250 credits）\u002F Teams $30\u002Fseat\u002F月 \u002F Enterprise 定制。多 IDE + 多 Git 平台 + 多模型 + BYOK + Living Rules + Context Engine + OSS PR-Agent 开源底座。",[59650,59653,59656,59658],{"q":59651,"a":59652},"Qodo 和 CodiumAI 是什么关系？","2024 年 CodiumAI 改名 Qodo，所有产品 \u002F 账号 \u002F 集成自动迁移。改名为了从『测试生成工具』拓展为『AI 代码质量平台』，并避免与 VSCodium 名字冲突。开源 PR-Agent 仍是其底座。",{"q":59654,"a":59655},"三个产品分别做什么？","Qodo Merge = PR 评审（GitHub\u002FGitLab\u002FBitbucket）；Qodo Cover = 自动回归测试 agent；Qodo Gen = VS Code\u002FJetBrains IDE 代码 + 测试生成。三个都包含在所有付费档里。",{"q":58641,"a":59657},"纯 PR 评审 → CodeRabbit Pro $24 更便宜 + IDE\u002FCLI\u002FMCP 生态更广 + 公共仓库无限免费。需要 PR 评审 + 自动测试生成（test coverage 低、需要补单测）→ Qodo Teams $30 是唯一二合一方案。",{"q":59659,"a":59660},"Living Rules 是什么？","从 codebase + PR 历史自学习的『规则系统』：把团队架构约定、命名风格、领域决策固化成 machine-readable rules，所有开发者 \u002F reviewer \u002F AI agent 都遵循；可在仪表盘编辑 + 跨仓 enforce。",[697],{},[22299,22300,22301,24207,57131,57132],[59665,59669,59673],{"plan":29272,"price":59666,"features":59667,"notes":59668},"$0 永久免费","30 PR 评审\u002F月（组织池）+ 250 IDE\u002FCLI credits\u002F月 + IDE 插件 + CLI","无信用卡、个人足够",{"plan":23132,"price":59670,"features":59671,"notes":59672},"$30\u002Fseat\u002F月（年）≈$38（月）","更高 credits + agentic PR 评审 + Living Rules + Git\u002FIDE + 仪表盘","团队主推档",{"plan":833,"price":716,"features":59674,"notes":59675},"SSO\u002FSAML + 审计 + 治理分析 + BYOK + 单租户 SaaS \u002F on-prem + 跨仓上下文","年度合同 + SLA","Developer Free \u002F Teams $30\u002Fseat\u002F月（年）≈$38（月）\u002F Enterprise 定制",[57151,59678],"onboarding\u002Fai-unit-test-coverage",[57706],{"power":264,"ux":257,"price":250,"cn_support":250,"stability":264},{"title":56884,"description":59648},"Qodo 评测 2026：AI 代码审查与测试生成，企业级代码质量平台",[59684,59686,59688,59690],{"name":59685,"url":59619,"accessed":732},"Toolchase — Qodo Review 2026",{"name":59687,"url":59626,"accessed":732},"Pickuma — Qodo Review 2026",{"name":59689,"url":59612,"accessed":732},"Qodo 官网（产品介绍）",{"name":59691,"url":59633,"accessed":732},"DEV.to — Qodo AI Review 2026","tools\u002Fcoding\u002Freview\u002Fqodo","前 CodiumAI——AI 评审 + 自动测试生成双合一，Qodo Merge \u002F Cover \u002F Gen 三件套",[57164,57165,59695,59696,22956,1392,59697,745],"test-generation","codium","rules","PR 评审 + 自动测试生成『二合一』唯一玩家——其他工具只做评审。Test coverage 低的团队优先选；只要 PR 评审 + 最低价走 CodeRabbit\u002FEllipsis。","https:\u002F\u002Fqodo.ai","PcQiOxVmMLqx5ezxAUwrsgVaQniE2PZjRPtuaX4z9VM",{"id":59702,"title":58123,"alternatives":59703,"api_compatible":16,"body":59704,"category":57109,"chinese_friendly":224,"cover":60148,"description":60149,"domestic":680,"extension":681,"faq":16,"free":680,"github":16,"languages":60150,"lastVerified":2637,"meta":60151,"models":16,"navigation":253,"notSuitable":16,"opensource":680,"path":60152,"pillar":22297,"platforms":60153,"priceTable":16,"pricing":60154,"published":2642,"relatedPlaybooks":16,"relatedReviews":16,"score":60155,"self_host":680,"seo":60156,"seoTitle":60157,"slug":60158,"sources":60159,"stem":60161,"suitable":16,"tagline":60162,"tags":60163,"updated":2637,"verdict":60165,"website":60133,"__hash__":60166},"tools\u002Ftools\u002Fcoding\u002Freview\u002Fsourcery.md",[56691,56694,56693],{"type":18,"value":59705,"toc":60135},[59706,59708,59711,59714,59716,59768,59770,59788,59790,59797,59801,59825,59829,59849,59851,59878,59880,60012,60014,60058,60060,60086,60088,60094,60099,60104,60110,60112,60121,60123,60127],[21,59707,24],{"id":23},[26,59709,59710],{},"Sourcery 是一个 AI 代码重构工具，专注 Python 和 JavaScript \u002F TypeScript，核心能力是实时检测代码异味（code smell）并提供一键自动重构。形态是 IDE 插件（VS Code \u002F PyCharm \u002F JetBrains 全家桶）+ CLI + CI 集成。和通用 LLM 代码审查不同，Sourcery 基于规则引擎 + AI，重构建议更确定性、更可预测。Free 版基础功能，Pro $10\u002F月解锁高级规则 + AI 重构。",[26,59712,59713],{},"适合：Python \u002F JS \u002F TS 开发者想在日常编码中实时提升代码质量、偏好确定性重构建议而非 LLM 自由发挥、用 PyCharm \u002F VS Code 的个人开发者。不适合：非 Python\u002FJS 语言（不支持）、需要深度架构级重构（Sourcery 偏函数级）、团队级代码审查平台（用 CodeRabbit \u002F DeepSource）。",[21,59715,34],{"id":34},[36,59717,59718,59724,59730,59736,59742,59751,59756,59762],{},[39,59719,59720,59723],{},[42,59721,59722],{},"实时代码异味检测","：IDE 中边写边提示——长函数、深层嵌套、重复代码、魔法数字、命名问题等",[39,59725,59726,59729],{},[42,59727,59728],{},"一键自动重构","：每个检测到的问题都有「Accept」按钮，点击即自动重构，diff 可见可回退",[39,59731,59732,59735],{},[42,59733,59734],{},"Python 深度分析","：Python 是主力语言，规则最丰富——类型注解优化、f-string 迁移、推导式简化、异常处理重构",[39,59737,59738,59741],{},[42,59739,59740],{},"JS\u002FTS 支持","：箭头函数优化、解构赋值、Promise 链重构、React hooks 优化",[39,59743,59744,5072,59747,59750],{},[42,59745,59746],{},"CLI + CI 集成",[204,59748,59749],{},"sourcery review"," 命令行扫描，可接 GitHub Actions \u002F pre-commit hook 在提交前检查",[39,59752,59753,59755],{},[42,59754,57783],{},"：Pro 版支持 YAML 写自定义重构规则，适配团队编码规范",[39,59757,59758,59761],{},[42,59759,59760],{},"AI 辅助重构","：Pro 版接入 LLM，对复杂代码提供 AI 重构建议（不只是规则匹配）",[39,59763,59764,59767],{},[42,59765,59766],{},"代码复杂度指标","：圈复杂度、认知复杂度、可维护性指数量化追踪",[21,59769,108],{"id":108},[36,59771,59772,59777,59783],{},[39,59773,59774,59776],{},[42,59775,843],{},"：基础重构规则 + IDE 插件 + CLI，个人日常用够",[39,59778,59779,59782],{},[42,59780,59781],{},"Pro $10\u002F月（$100\u002F年）","：高级规则 + 自定义规则 + AI 重构 + CI 集成 + 优先支持",[39,59784,59785,59787],{},[42,59786,867],{},"：联系销售，团队规则共享 + 管理面板",[21,59789,2241],{"id":2240},[130,59791,59792],{},[26,59793,2246,59794,59796],{},[42,59795,2249],{},"：以 VS Code 中一个 Python 后端项目（~30K 行）的日常重构场景为例整理。",[26,59798,59799],{},[42,59800,143],{},[36,59802,59803,59806,59813,59816,59819,59822],{},[39,59804,59805],{},"VS Code 插件装好即用，写代码时实时波浪线提示，hover 看建议 + Accept 一键改",[39,59807,59808,59809,59812],{},"Python 规则质量高——把一堆 ",[204,59810,59811],{},"format()"," 自动迁成 f-string、复杂 if-else 优化成推导式、函数拆分建议合理",[39,59814,59815],{},"重构建议确定性——不是 LLM 自由发挥，是基于规则的，每次同样的代码给出同样的建议，可预测",[39,59817,59818],{},"CLI 接 pre-commit hook 很实用——提交前自动检查，不让代码异味进仓库",[39,59820,59821],{},"复杂度指标可视化好——PyCharm 插件在函数旁边标复杂度数字，一眼看出哪些函数该拆",[39,59823,59824],{},"diff 展示清晰——每个重构建议都有 before\u002Fafter diff，Accept 前看清楚改什么",[26,59826,59827],{},[42,59828,168],{},[36,59830,59831,59834,59837,59840,59843,59846],{},[39,59832,59833],{},"语言覆盖窄——只有 Python 和 JS\u002FTS，Go \u002F Rust \u002F Java \u002F C# 完全不支持",[39,59835,59836],{},"重构深度有限——擅长函数级 \u002F 表达式级重构，类设计 \u002F 模块拆分 \u002F 架构层面管不了",[39,59838,59839],{},"Free 版规则少——基础规则够日常，但高级重构（如设计模式迁移）要 Pro",[39,59841,59842],{},"AI 重构偶尔不靠谱——Pro 的 AI 建议有时改了语义，不能盲 Accept",[39,59844,59845],{},"偶有误报——约 5-10% 的建议不合理（如不建议把清晰的循环改成更难读的推导式），需要判断",[39,59847,59848],{},"PyCharm 插件偶尔卡顿——大文件实时分析时 UI 有延迟，VS Code 更流畅",[21,59850,936],{"id":936},[630,59852,59853,59856,59859,59862,59865,59875],{},[39,59854,59855],{},"安装 IDE 插件：VS Code 搜索 \"Sourcery\" \u002F PyCharm Preferences → Plugins → 搜索安装",[39,59857,59858],{},"登录账号（Free 即可开始）",[39,59860,59861],{},"打开 Python \u002F JS 文件，波浪线处即检测到的代码异味",[39,59863,59864],{},"Hover 看建议 → 点 Accept 一键重构",[39,59866,59867,59868,14107,59871,59874],{},"CLI 安装：",[204,59869,59870],{},"pip install sourcery",[204,59872,59873],{},"sourcery review ."," 扫描整个项目",[39,59876,59877],{},"进阶：配 pre-commit hook \u002F GitHub Actions 在 CI 中自动检查",[21,59879,364],{"id":364},[366,59881,59882,59897],{},[369,59883,59884],{},[372,59885,59886,59888,59890,59892,59894],{},[375,59887,377],{},[375,59889,58123],{},[375,59891,56878],{},[375,59893,57727],{},[375,59895,59896],{},"Ruff",[390,59898,59899,59914,59927,59941,59957,59972,59986,59998],{},[372,59900,59901,59903,59906,59909,59911],{},[395,59902,2367],{},[395,59904,59905],{},"IDE 插件 + CLI",[395,59907,59908],{},"SaaS PR 审查",[395,59910,27040],{},[395,59912,59913],{},"CLI \u002F linter",[372,59915,59916,59918,59921,59923,59925],{},[395,59917,27682],{},[395,59919,59920],{},"Python \u002F JS\u002FTS",[395,59922,57942],{},[395,59924,27081],{},[395,59926,20134],{},[372,59928,59929,59932,59934,59936,59939],{},[395,59930,59931],{},"自动重构",[395,59933,31836],{},[395,59935,426],{},[395,59937,59938],{},"✅ Autofix",[395,59940,426],{},[372,59942,59943,59946,59949,59952,59954],{},[395,59944,59945],{},"实时提示",[395,59947,59948],{},"✅ IDE 内",[395,59950,59951],{},"❌ PR 阶段",[395,59953,59951],{},[395,59955,59956],{},"✅ IDE",[372,59958,59959,59961,59964,59967,59969],{},[395,59960,57964],{},[395,59962,59963],{},"规则 + AI",[395,59965,59966],{},"LLM",[395,59968,57967],{},[395,59970,59971],{},"规则",[372,59973,59974,59976,59979,59981,59984],{},[395,59975,57783],{},[395,59977,59978],{},"✅ Pro",[395,59980,426],{},[395,59982,59983],{},"✅ Team+",[395,59985,1100],{},[372,59987,59988,59990,59992,59994,59996],{},[395,59989,414],{},[395,59991,426],{},[395,59993,426],{},[395,59995,426],{},[395,59997,423],{},[372,59999,60000,60002,60005,60007,60010],{},[395,60001,108],{},[395,60003,60004],{},"Free \u002F $10\u002F月",[395,60006,60004],{},[395,60008,60009],{},"Free \u002F $24\u002F人\u002F月",[395,60011,12512],{},[21,60013,521],{"id":521},[36,60015,60016,60022,60028,60034,60046,60052],{},[39,60017,60018,60021],{},[42,60019,60020],{},"别把它当 linter 用","：Sourcery 偏重构，Ruff \u002F ESLint 偏格式 + 简单规则，两者互补不替代，都配",[39,60023,60024,60027],{},[42,60025,60026],{},"AI 重构要 review","：Pro 的 AI 建议偶尔改变语义，Accept 前看 diff，跑测试确认",[39,60029,60030,60033],{},[42,60031,60032],{},"自定义规则有学习成本","：YAML 规则语法不直观，先看官方示例再写，别一上来就自定义",[39,60035,60036,5072,60039,60041,60042,60045],{},[42,60037,60038],{},"大项目 CLI 慢",[204,60040,59873],{}," 扫几万行项目要几分钟，配 ",[204,60043,60044],{},"--in-place"," 批量改更高效",[39,60047,60048,60051],{},[42,60049,60050],{},"PyCharm 性能","：大项目实时分析可能卡，在 Sourcery 设置里关掉部分重规则或调 debounce",[39,60053,60054,60057],{},[42,60055,60056],{},"Free 版够用就别上 Pro","：日常 Python 重构 Free 版规则够，Pro 主要值在自定义规则和 AI 重构",[21,60059,575],{"id":574},[36,60061,60062,60065,60068,60071,60074,60077,60080,60083],{},[39,60063,60064],{},"✅ Python \u002F JS \u002F TS 个人开发者日常提升代码质量",[39,60066,60067],{},"✅ 偏好确定性规则重构（可预测、可重复）",[39,60069,60070],{},"✅ IDE 实时提示 + 一键修复的工作流",[39,60072,60073],{},"✅ pre-commit \u002F CI 自动检查代码异味",[39,60075,60076],{},"❌ 非 Python\u002FJS 语言（Go \u002F Rust \u002F Java 不支持）",[39,60078,60079],{},"❌ 需要架构级 \u002F 模块级深度重构（Sourcery 只到函数级）",[39,60081,60082],{},"❌ 团队级 PR 代码审查平台（用 CodeRabbit \u002F DeepSource）",[39,60084,60085],{},"❌ 需要开源 \u002F 自托管（用 Ruff + 自定义规则）",[21,60087,2552],{"id":2551},[26,60089,60090,60093],{},[42,60091,60092],{},"Q: Sourcery 和 Ruff 怎么选？","\nA: Ruff 是开源 Python linter，极快、免费、规则多，但只报告不重构。Sourcery 偏重构 + IDE 实时一键修复，体验更好但闭源收费。日常用 Ruff 做 lint + Sourcery 做重构，互补。",[26,60095,60096,60098],{},[42,60097,9860],{},"\nA: 日常 Python \u002F JS 重构 Free 版够——基础规则覆盖常见代码异味。Pro 主要值在自定义规则、AI 重构和 CI 集成，团队规范严格才需要。",[26,60100,60101,60103],{},[42,60102,58108],{},"\nA: CodeRabbit 是 LLM 驱动的 PR 审查，在 PR 阶段工作。Sourcery 是 IDE 实时重构 + CLI，在编码阶段工作。CodeRabbit 更通用但只在 PR，Sourcery 更专注重构但语言窄。",[26,60105,60106,60109],{},[42,60107,60108],{},"Q: 支持 Jupyter Notebook 吗？","\nA: 支持。VS Code 中打开 .ipynb，Sourcery 会分析每个 cell 的代码并提供重构建议。数据科学场景实用。",[21,60111,604],{"id":604},[26,60113,60114,2589,60117,2589,60119],{},[610,60115,57727],{"href":60116},"\u002Fcoding\u002Freview\u002Fdeepsource.html",[610,60118,37019],{"href":37018},[610,60120,37023],{"href":37022},[21,60122,628],{"id":628},[130,60124,60125],{},[26,60126,2604],{},[36,60128,60129],{},[39,60130,60131],{},[610,60132,2613],{"href":60133,"rel":60134},"https:\u002F\u002Fsourcery.ai",[639],{"title":202,"searchDepth":250,"depth":250,"links":60136},[60137,60138,60139,60140,60141,60142,60143,60144,60145,60146,60147],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":2240,"depth":224,"text":2241},{"id":936,"depth":224,"text":936},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":2551,"depth":224,"text":2552},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fsourcery.webp","Sourcery 真实评测：AI 代码重构工具，专注 Python\u002FJavaScript 自动重构，实时检测代码异味并一键修复。支持 IDE 插件 + CLI，Free + Pro $10\u002F月，适合需要提升代码质量、自动化重构 Python\u002FJS 项目的开发者。",[697],{},"\u002Ftools\u002Fcoding\u002Freview\u002Fsourcery",[1349,1348,1350],"Free \u002F Pro $10\u002Fmo",{"power":250,"ux":257,"price":250,"cn_support":224,"stability":257},{"title":58123,"description":60149},"Sourcery - AI 代码重构工具评测与使用 | AIHO","coding\u002Freview\u002Fsourcery",[60160],{"title":2613,"url":60133},"tools\u002Fcoding\u002Freview\u002Fsourcery","AI 代码重构工具，专注 Python \u002F JS 自动重构",[57164,60164,335,9443],"refactoring","专注 Python\u002FJS 的 AI 自动重构工具，IDE 实时提示 + 一键修复体验好，适合个人开发者日常提升代码质量；语言覆盖窄（只有 Python\u002FJS\u002FTS）且重构深度有限，多语言团队或深度重构需求看其他工具。","6Qs8t4g7AaruSOIRpX3j7zSZwy0oeqDNeqAqajKEJes",1785428429469]