[{"data":1,"prerenderedAt":16249},["ShallowReactive",2],{"header-counts":3,"pillar-tools-agent":6,"footer-counts":16248},{"tools":4,"reviews":5},65,7,[7,750,1404,2168,2891,3449,3993,4549,5520,6105,6793,7664,8655,9721,10332,11034,11582,12462,13388,14133,14863,15632],{"id":8,"title":9,"alternatives":10,"api_compatible":20,"body":21,"category":677,"chinese_friendly":268,"cover":678,"description":679,"domestic":680,"extension":681,"faq":682,"free":680,"github":20,"languages":695,"meta":698,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":699,"pillar":700,"platforms":701,"priceTable":705,"pricing":719,"published":720,"relatedPlaybooks":721,"relatedReviews":20,"score":725,"self_host":257,"seo":726,"slug":727,"sources":728,"stem":738,"suitable":20,"tagline":739,"tags":740,"updated":731,"verdict":748,"website":637,"__hash__":749},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm.md","AutoGLM",[11,14,17],{"name":12,"url":13},"claude-desktop","\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",{"name":15,"url":16},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":18,"url":19},"manus","\u002Ftools\u002Fcoding\u002Fagent\u002Fmanus",null,{"type":22,"value":23,"toc":665},"minimark",[24,29,33,36,39,110,113,133,139,143,148,168,173,196,200,365,368,522,525,575,579,605,608,626,629,661],[25,26,28],"h2",{"id":27},"tldr","TL;DR",[30,31,32],"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。",[30,34,35],{},"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）。",[25,37,38],{"id":38},"核心能力",[40,41,42,50,56,62,68,74,80,86,92,98,104],"ul",{},[43,44,45,49],"li",{},[46,47,48],"strong",{},"AutoGLM-Phone-9B","：MIT 协议开源模型，HuggingFace \u002F ModelScope 可下载",[43,51,52,55],{},[46,53,54],{},"Android 适配层","：原生 Android API + Accessibility Service",[43,57,58,61],{},[46,59,60],{},"Remote ADB","：初次配置后通过 WiFi 控制设备，无需 USB",[43,63,64,67],{},[46,65,66],{},"多模态屏幕理解","：截屏 + UI 树双输入，规划 + grounding 分离",[43,69,70,73],{},[46,71,72],{},"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",[43,75,76,79],{},[46,77,78],{},"英文 App 覆盖","：Gmail \u002F Google Maps \u002F X \u002F Reddit \u002F OneStopShop",[43,81,82,85],{},[46,83,84],{},"Web 浏览器智能体","：Chrome 扩展 + VAB-WebArena-Lite 55.2% \u002F 59.1%",[43,87,88,91],{},[46,89,90],{},"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）",[43,93,94,97],{},[46,95,96],{},"Safe Operations","：敏感操作（登录 \u002F 验证码）确认后由人接管",[43,99,100,103],{},[46,101,102],{},"Python API","：几行代码就能跑通自动化任务",[43,105,106,109],{},[46,107,108],{},"私有化部署","：模型 + 框架本地跑，数据 \u002F 日志 \u002F 权限完全自控",[25,111,112],{"id":112},"价格",[40,114,115,121,127],{},[43,116,117,120],{},[46,118,119],{},"Open-AutoGLM","：$0；模型 MIT + 代码 Apache 2.0",[43,122,123,126],{},[46,124,125],{},"Chrome 扩展","：$0；Chrome Web Store 装即用",[43,128,129,132],{},[46,130,131],{},"整合产品（智谱清言 App）","：商业服务，价格随订阅",[134,135,136],"blockquote",{},[30,137,138],{},"真实成本 = 0（开源）+ GPU 推理（9B 模型 RTX 4090 一张即可跑）",[25,140,142],{"id":141},"实测开源版本-pixel-6a-ubuntu-2204","实测（开源版本 \u002F Pixel 6a + Ubuntu 22.04）",[30,144,145],{},[46,146,147],{},"亮点：",[40,149,150,153,156,159,162,165],{},[43,151,152],{},"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",[43,154,155],{},"中文 App 覆盖度领先：微信 \u002F 美团 \u002F 淘宝跑通率高",[43,157,158],{},"模型 9B 可在单卡 4090 + 24GB 显存跑，门槛友好",[43,160,161],{},"Remote ADB 让长跑实验摆脱 USB 线",[43,163,164],{},"学术 benchmark 数据透明（55.2% \u002F 59.1%）",[43,166,167],{},"safe-operation 设计对登录 \u002F 支付环节做人审接管，避免误操作",[30,169,170],{},[46,171,172],{},"踩坑：",[40,174,175,178,181,184,187,190,193],{},[43,176,177],{},"App 版本更新后 UI 元素变化要重新适配",[43,179,180],{},"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）",[43,182,183],{},"主要面向 Android，iOS 支持空缺",[43,185,186],{},"文档以 README + 论文为主，工程化最佳实践薄",[43,188,189],{},"国行 App 隐私 \u002F 反爬监测会偶尔拦截",[43,191,192],{},"Chrome 扩展 3.4 \u002F 5 评分中等，功能尚可但稳定性一般",[43,194,195],{},"整合版（智谱清言）和开源版差异要注意，别混用",[25,197,199],{"id":198},"上手open-autoglm","上手（Open-AutoGLM）",[201,202,207],"pre",{"className":203,"code":204,"language":205,"meta":206,"style":206},"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","",[208,209,210,226,252,259,266,278,283,288,322,327,333,345,356],"code",{"__ignoreMap":206},[211,212,215,219,223],"span",{"class":213,"line":214},"line",1,[211,216,218],{"class":217},"sScJk","git",[211,220,222],{"class":221},"sZZnC"," clone",[211,224,225],{"class":221}," https:\u002F\u002Fgithub.com\u002Fzai-org\u002FOpen-AutoGLM\n",[211,227,229,233,236,240,243,246,249],{"class":213,"line":228},2,[211,230,232],{"class":231},"sj4cs","cd",[211,234,235],{"class":221}," Open-AutoGLM",[211,237,239],{"class":238},"sVt8B"," && ",[211,241,242],{"class":217},"pip",[211,244,245],{"class":221}," install",[211,247,248],{"class":231}," -r",[211,250,251],{"class":221}," requirements.txt\n",[211,253,255],{"class":213,"line":254},3,[211,256,258],{"emptyLinePlaceholder":257},true,"\n",[211,260,262],{"class":213,"line":261},4,[211,263,265],{"class":264},"sJ8bj","# 下载 9B 模型\n",[211,267,269,272,275],{"class":213,"line":268},5,[211,270,271],{"class":217},"huggingface-cli",[211,273,274],{"class":221}," download",[211,276,277],{"class":221}," THUDM\u002FAutoGLM-Phone-9B\n",[211,279,281],{"class":213,"line":280},6,[211,282,258],{"emptyLinePlaceholder":257},[211,284,285],{"class":213,"line":5},[211,286,287],{"class":264},"# 配置 ADB（USB 一次）\n",[211,289,291,294,297,300,302,304,307,311,314,316,319],{"class":213,"line":290},8,[211,292,293],{"class":217},"adb",[211,295,296],{"class":221}," tcpip",[211,298,299],{"class":231}," 5555",[211,301,239],{"class":238},[211,303,293],{"class":217},[211,305,306],{"class":221}," connect",[211,308,310],{"class":309},"szBVR"," \u003C",[211,312,313],{"class":221},"device-i",[211,315,30],{"class":238},[211,317,318],{"class":309},">",[211,320,321],{"class":221},":5555\n",[211,323,325],{"class":213,"line":324},9,[211,326,258],{"emptyLinePlaceholder":257},[211,328,330],{"class":213,"line":329},10,[211,331,332],{"class":264},"# 跑示例任务\n",[211,334,336,339,342],{"class":213,"line":335},11,[211,337,338],{"class":217},"python",[211,340,341],{"class":221}," examples\u002Frun_phone_agent.py",[211,343,344],{"class":231}," \\\n",[211,346,348,351,354],{"class":213,"line":347},12,[211,349,350],{"class":231},"  --model",[211,352,353],{"class":221}," THUDM\u002FAutoGLM-Phone-9B",[211,355,344],{"class":231},[211,357,359,362],{"class":213,"line":358},13,[211,360,361],{"class":231},"  --task",[211,363,364],{"class":221}," \"在小红书搜索罗马旅游攻略并总结景点\"\n",[25,366,367],{"id":367},"对比",[369,370,371,392],"table",{},[372,373,374],"thead",{},[375,376,377,381,383,386,389],"tr",{},[378,379,380],"th",{},"维度",[378,382,9],{},[378,384,385],{},"Claude Desktop",[378,387,388],{},"OpenClaw",[378,390,391],{},"Anthropic Computer Use",[393,394,395,413,430,447,461,477,491,505],"tbody",{},[375,396,397,401,404,407,410],{},[398,399,400],"td",{},"平台",[398,402,403],{},"Android + Web",[398,405,406],{},"macOS \u002F Windows + MCP",[398,408,409],{},"macOS\u002FLinux\u002FWin",[398,411,412],{},"跨平台",[375,414,415,418,421,424,427],{},[398,416,417],{},"开源",[398,419,420],{},"✅ MIT 模型 + Apache 代码",[398,422,423],{},"闭源",[398,425,426],{},"✅ MIT",[398,428,429],{},"❌",[375,431,432,435,438,441,444],{},[398,433,434],{},"中文 App",[398,436,437],{},"✅ 50+ 示例",[398,439,440],{},"–",[398,442,443],{},"部分",[398,445,446],{},"弱",[375,448,449,452,455,457,459],{},[398,450,451],{},"Phone agent",[398,453,454],{},"✅ 9B 模型",[398,456,429],{},[398,458,429],{},[398,460,429],{},[375,462,463,466,468,471,474],{},[398,464,465],{},"桌面 agent",[398,467,429],{},[398,469,470],{},"✅ MCP",[398,472,473],{},"✅ Gateway",[398,475,476],{},"✅ 原生",[375,478,479,482,485,487,489],{},[398,480,481],{},"学术 benchmark",[398,483,484],{},"✅ 公开",[398,486,440],{},[398,488,440],{},[398,490,443],{},[375,492,493,496,498,500,503],{},[398,494,495],{},"整合 IM",[398,497,440],{},[398,499,440],{},[398,501,502],{},"✅ 20+ 平台",[398,504,440],{},[375,506,507,510,513,516,519],{},[398,508,509],{},"适合",[398,511,512],{},"国内 App \u002F 研究 \u002F 私有化",[398,514,515],{},"MCP 生态桌面",[398,517,518],{},"IM 触发个人 agent",[398,520,521],{},"跨平台桌面",[25,523,524],{"id":524},"避坑",[40,526,527,533,539,545,551,557,563,569],{},[43,528,529,532],{},[46,530,531],{},"App 版本敏感","：UI 改动后效果下降，要 pin App 版本或重训样本",[43,534,535,538],{},[46,536,537],{},"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",[43,540,541,544],{},[46,542,543],{},"iOS 暂缺","：需要 iOS agent 走别的方案",[43,546,547,550],{},[46,548,549],{},"Remote ADB 安全","：开放端口必须限内网 + 防火墙",[43,552,553,556],{},[46,554,555],{},"国行 App 反爬","：账号风控 \u002F 验证码会触发，必要时 human-in-the-loop",[43,558,559,562],{},[46,560,561],{},"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",[43,564,565,568],{},[46,566,567],{},"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",[43,570,571,574],{},[46,572,573],{},"MIT 模型 + Apache 代码","：商用务必看 LICENSE，企业合规审计要走流程",[25,576,578],{"id":577},"适合-不适合","适合 \u002F 不适合",[40,580,581,584,587,590,593,596,599,602],{},[43,582,583],{},"✅ GUI agent 学术研究 \u002F 工程团队",[43,585,586],{},"✅ 国内 App 自治（微信 \u002F 美团 \u002F 淘宝 \u002F 小红书）",[43,588,589],{},"✅ 想本地跑 phone agent + 数据自主",[43,591,592],{},"✅ 私有化部署 + 合规需求",[43,594,595],{},"❌ 跨平台桌面自动化（Claude Desktop \u002F Anthropic Computer Use）",[43,597,598],{},"❌ iOS App 自治",[43,600,601],{},"❌ 要 production-grade 稳定性（仍在演进）",[43,603,604],{},"❌ 不懂 ADB \u002F Python 部署的纯用户",[25,606,607],{"id":607},"相关阅读",[40,609,610,616,621],{},[43,611,612],{},[613,614,615],"a",{"href":13},"Claude Desktop 评测",[43,617,618],{},[613,619,620],{"href":16},"OpenClaw 评测",[43,622,623],{},[613,624,625],{"href":19},"Manus 评测",[25,627,628],{"id":628},"来源",[630,631,632,640,647,654],"ol",{},[43,633,634,635],{},"AutoGLM 项目主页（含 Open-AutoGLM 2025-12-08 发布说明 \u002F benchmark 数据）",[613,636,637],{"href":637,"rel":638},"https:\u002F\u002Fxiao9905.github.io\u002FAutoGLM",[639],"nofollow",[43,641,642,643],{},"腾讯新闻 — 智谱开源 AutoGLM（32 个月研发 \u002F MIT + Apache 2.0）",[613,644,645],{"href":645,"rel":646},"https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20251209A05V1G00",[639],[43,648,649,650],{},"AutoGLM arXiv 论文 ",[613,651,652],{"href":652,"rel":653},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2411.00820",[639],[43,655,656,657],{},"Chrome Web Store — 智谱清言 ChatGLM & AutoGLM 工作学习 AI 助手 ",[613,658,659],{"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":206,"searchDepth":254,"depth":254,"links":666},[667,668,669,670,671,672,673,674,675,676],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":141,"depth":228,"text":142},{"id":198,"depth":228,"text":199},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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":119,"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],{"name":723,"url":724},"GUI Agent 工程化","\u002Fplaybook\u002Fonboarding\u002Fgui-agent-engineering",{"power":261,"ux":261,"price":268,"cn_support":268,"stability":254},{"title":9,"description":679},"agent\u002Fdesktop\u002Fautoglm",[729,732,734,736],{"name":730,"url":637,"accessed":731},"AutoGLM 项目主页（清华 \u002F Z.AI）","2026-06-24",{"name":733,"url":645,"accessed":731},"腾讯新闻 — 智谱开源 AutoGLM",{"name":735,"url":652,"accessed":731},"AutoGLM arXiv 论文 2411.00820",{"name":737,"url":659,"accessed":731},"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",[741,742,743,744,745,746,747],"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。","VvdWEKZS3wv_yukoLOAxIkFOGINlTMgvdTZRo9H_GUA",{"id":751,"title":385,"alternatives":752,"api_compatible":20,"body":759,"category":677,"chinese_friendly":254,"cover":1332,"description":1333,"domestic":680,"extension":681,"faq":1334,"free":680,"github":20,"languages":1347,"meta":1349,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":13,"pillar":700,"platforms":1350,"priceTable":1354,"pricing":1376,"published":720,"relatedPlaybooks":1377,"relatedReviews":20,"score":1381,"self_host":680,"seo":1382,"slug":1383,"sources":1384,"stem":1393,"suitable":20,"tagline":1394,"tags":1395,"updated":731,"verdict":1401,"website":1402,"__hash__":1403},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop.md",[753,754,756],{"name":15,"url":16},{"name":755,"url":699},"autoglm",{"name":757,"url":758},"crush","\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush",{"type":22,"value":760,"toc":1320},[761,763,766,769,771,839,841,878,883,887,891,911,915,938,941,959,1040,1045,1047,1182,1184,1239,1241,1267,1269,1285,1287,1317],[25,762,28],{"id":27},[30,764,765],{},"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。",[30,767,768],{},"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）。",[25,770,38],{"id":38},[40,772,773,779,785,791,797,803,809,815,821,827,833],{},[43,774,775,778],{},[46,776,777],{},"原生 MCP 支持","：stdio \u002F SSE \u002F HTTP transport，工具调用直接进入对话",[43,780,781,784],{},[46,782,783],{},".mcpb Extensions","：一键双击安装，含 Node.js \u002F Python 依赖全打包",[43,786,787,790],{},[46,788,789],{},"Connectors 面板","：+ 菜单浏览 \u002F 启用主流 MCP server",[43,792,793,796],{},[46,794,795],{},"手动 JSON 配置","：Settings → Developer → Edit Config 完全控制",[43,798,799,802],{},[46,800,801],{},"Projects","：跨会话共享 system prompt + 文件 + 知识库",[43,804,805,808],{},[46,806,807],{},"Artifacts","：HTML \u002F React \u002F Markdown 实时预览",[43,810,811,814],{},[46,812,813],{},"多模态","：图片 + PDF + CSV 上传分析",[43,816,817,820],{},[46,818,819],{},"Opus \u002F Sonnet \u002F Haiku 三档","：按任务难度切换",[43,822,823,826],{},[46,824,825],{},"Computer Use（Sonnet 4.6+）","：跨平台桌面操作（API 形式）",[43,828,829,832],{},[46,830,831],{},"Team Projects","：共享 prompt + admin + 用量分配",[43,834,835,838],{},[46,836,837],{},"Enterprise","：SSO + SCIM + 审计 + DLP + 数据保留策略",[25,840,112],{"id":112},[40,842,843,849,855,861,867,873],{},[43,844,845,848],{},[46,846,847],{},"Free","：$0；基础访问 + MCP 支持",[43,850,851,854],{},[46,852,853],{},"Pro","：$20\u002F月；Opus + Projects + 5x 配额",[43,856,857,860],{},[46,858,859],{},"Max","：$100\u002F月；5x Pro 用量 + 优先速度",[43,862,863,866],{},[46,864,865],{},"Max+","：$200\u002F月；20x Pro 用量",[43,868,869,872],{},[46,870,871],{},"Team","：$30\u002Fuser·月（最少 5 人，年付）",[43,874,875,877],{},[46,876,837],{},"：Custom",[134,879,880],{},[30,881,882],{},"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。",[25,884,886],{"id":885},"实测开发者主力-macos-windows-双开","实测（开发者主力 \u002F macOS \u002F Windows 双开）",[30,888,889],{},[46,890,147],{},[40,892,893,896,899,902,905,908],{},[43,894,895],{},".mcpb 让非工程师用户也能装上 GitHub \u002F filesystem \u002F SQLite 工具",[43,897,898],{},"Opus 推理质量在所有桌面 agent 中最强",[43,900,901],{},"Projects 跨会话保留上下文非常省 token",[43,903,904],{},"MCP 工具调用 + Artifacts 预览同窗体验流畅",[43,906,907],{},"Anthropic 官方更新节奏稳，2026 几乎每月有功能",[43,909,910],{},"Settings → Developer → Edit Config 一键打开配置，路径不再坑用户",[30,912,913],{},[46,914,172],{},[40,916,917,920,923,926,929,932,935],{},[43,918,919],{},"中国大陆访问 + 支付都受限",[43,921,922],{},"MCP 配置错误的报错很简短，要看 Console \u002F Log",[43,924,925],{},"大文件 \u002F 长上下文偶尔出现 token 计费偏高",[43,927,928],{},"Linux 版本更新偶尔落后 macOS \u002F Windows",[43,930,931],{},".mcpb 包格式更换（.dxt → .mcpb）期间的旧包还在用，命名混乱",[43,933,934],{},"Free 配额限制偏紧，体验完整流程几乎要 Pro",[43,936,937],{},"多账户切换不友好，企业 + 个人共用要登出登入",[25,939,940],{"id":940},"上手",[630,942,943,946,953,956],{},[43,944,945],{},"claude.ai\u002Fdownload → 下载对应系统客户端 → 安装登录",[43,947,948],{},[40,949,950],{},[43,951,952],{},"菜单 → Connectors → 浏览主流 MCP server（filesystem \u002F GitHub \u002F Slack \u002F Postgres）",[43,954,955],{},"或 Settings → Extensions → 下载 .mcpb 文件 → 双击安装",[43,957,958],{},"或 Settings → Developer → Edit Config → 手动加：",[201,960,964],{"className":961,"code":962,"language":963,"meta":206,"style":206},"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",[208,965,966,971,979,986,1000,1025,1030,1035],{"__ignoreMap":206},[211,967,968],{"class":213,"line":214},[211,969,970],{"class":238},"{\n",[211,972,973,976],{"class":213,"line":228},[211,974,975],{"class":231},"  \"mcpServers\"",[211,977,978],{"class":238},": {\n",[211,980,981,984],{"class":213,"line":254},[211,982,983],{"class":231},"    \"filesystem\"",[211,985,978],{"class":238},[211,987,988,991,994,997],{"class":213,"line":261},[211,989,990],{"class":231},"      \"command\"",[211,992,993],{"class":238},": ",[211,995,996],{"class":221},"\"npx\"",[211,998,999],{"class":238},",\n",[211,1001,1002,1005,1008,1011,1014,1017,1019,1022],{"class":213,"line":268},[211,1003,1004],{"class":231},"      \"args\"",[211,1006,1007],{"class":238},": [",[211,1009,1010],{"class":221},"\"-y\"",[211,1012,1013],{"class":238},", ",[211,1015,1016],{"class":221},"\"@modelcontextprotocol\u002Fserver-filesystem\"",[211,1018,1013],{"class":238},[211,1020,1021],{"class":221},"\"\u002FUsers\u002Fyou\u002Fwork\"",[211,1023,1024],{"class":238},"]\n",[211,1026,1027],{"class":213,"line":280},[211,1028,1029],{"class":238},"    }\n",[211,1031,1032],{"class":213,"line":5},[211,1033,1034],{"class":238},"  }\n",[211,1036,1037],{"class":213,"line":290},[211,1038,1039],{"class":238},"}\n",[630,1041,1042],{"start":268},[43,1043,1044],{},"重启 Claude Desktop → 看到对话框右下角 🔨 工具图标 → 测试 \"list files in \u002FUsers\u002Fyou\u002Fwork\"",[25,1046,367],{"id":367},[369,1048,1049,1065],{},[372,1050,1051],{},[375,1052,1053,1055,1057,1060,1063],{},[378,1054,380],{},[378,1056,385],{},[378,1058,1059],{},"ChatGPT Desktop",[378,1061,1062],{},"Cursor",[378,1064,388],{},[393,1066,1067,1082,1097,1111,1127,1139,1152,1166],{},[375,1068,1069,1072,1075,1078,1080],{},[398,1070,1071],{},"原生 MCP",[398,1073,1074],{},"✅ 旗舰",[398,1076,1077],{},"部分（GPT Actions）",[398,1079,443],{},[398,1081,473],{},[375,1083,1084,1087,1090,1092,1095],{},[398,1085,1086],{},"一键扩展安装",[398,1088,1089],{},"✅ .mcpb",[398,1091,440],{},[398,1093,1094],{},"✅ 部分",[398,1096,440],{},[375,1098,1099,1102,1105,1107,1109],{},[398,1100,1101],{},"桌面 \u002F 文件系统",[398,1103,1104],{},"✅",[398,1106,1104],{},[398,1108,1104],{},[398,1110,1104],{},[375,1112,1113,1116,1119,1122,1125],{},[398,1114,1115],{},"模型",[398,1117,1118],{},"Claude（Opus \u002F Sonnet）",[398,1120,1121],{},"GPT-5.x",[398,1123,1124],{},"多模型",[398,1126,1124],{},[375,1128,1129,1131,1133,1135,1137],{},[398,1130,417],{},[398,1132,429],{},[398,1134,429],{},[398,1136,429],{},[398,1138,426],{},[375,1140,1141,1144,1146,1148,1150],{},[398,1142,1143],{},"中国大陆支付",[398,1145,429],{},[398,1147,429],{},[398,1149,429],{},[398,1151,1104],{},[375,1153,1154,1157,1160,1162,1164],{},[398,1155,1156],{},"起价",[398,1158,1159],{},"$20\u002F月",[398,1161,1159],{},[398,1163,1159],{},[398,1165,707],{},[375,1167,1168,1170,1173,1176,1179],{},[398,1169,509],{},[398,1171,1172],{},"MCP 生态 + Claude 派",[398,1174,1175],{},"OpenAI 派",[398,1177,1178],{},"代码主力",[398,1180,1181],{},"自托管 IM 触发",[25,1183,524],{"id":524},[40,1185,1186,1192,1198,1204,1210,1216,1222,1228,1234],{},[43,1187,1188,1191],{},[46,1189,1190],{},"配置文件路径常错","：用 Settings → Developer → Edit Config 一键打开，不要手输路径",[43,1193,1194,1197],{},[46,1195,1196],{},"JSON 必须合法","：注释 \u002F 尾逗号会报错，建议 VS Code 校验",[43,1199,1200,1203],{},[46,1201,1202],{},"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",[43,1205,1206,1209],{},[46,1207,1208],{},"NPM 依赖卡住","：npx 首次拉包慢，设置代理或预跑一次再用",[43,1211,1212,1215],{},[46,1213,1214],{},"环境变量隔离","：每个 MCP server 的 env 只对该 server 可见，避免泄露",[43,1217,1218,1221],{},[46,1219,1220],{},"filesystem 限定路径","：args 里只给必要目录，不要给 \u002F 或整个 home",[43,1223,1224,1227],{},[46,1225,1226],{},".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",[43,1229,1230,1233],{},[46,1231,1232],{},"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",[43,1235,1236,1238],{},[46,1237,789],{}," 偶有 server 不可用，回退到 JSON 手动配置",[25,1240,578],{"id":577},[40,1242,1243,1246,1249,1252,1255,1258,1261,1264],{},[43,1244,1245],{},"✅ Claude Opus \u002F Sonnet 重度用户",[43,1247,1248],{},"✅ 想打通文件系统 \u002F DB \u002F GitHub \u002F 浏览器自动化的开发者",[43,1250,1251],{},"✅ 团队协作通过 Team Projects 共享上下文",[43,1253,1254],{},"✅ MCP 生态早期采用者 \u002F 工具开发者",[43,1256,1257],{},"❌ 中国大陆企业要正规付费 + 合规",[43,1259,1260],{},"❌ 纯代码工作流（Cursor \u002F Continue 更顺）",[43,1262,1263],{},"❌ 预算极紧（Free 配额很快耗尽）",[43,1265,1266],{},"❌ 要自托管 + 数据完全自主（走 OpenClaw \u002F 自家方案）",[25,1268,607],{"id":607},[40,1270,1271,1275,1280],{},[43,1272,1273],{},[613,1274,620],{"href":16},[43,1276,1277],{},[613,1278,1279],{"href":699},"AutoGLM 评测",[43,1281,1282],{},[613,1283,1284],{"href":758},"Crush 评测",[25,1286,628],{"id":628},[630,1288,1289,1296,1303,1310],{},[43,1290,1291,1292],{},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt 改名 2025-09）",[613,1293,1294],{"href":1294,"rel":1295},"https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Fdesktop-extensions",[639],[43,1297,1298,1299],{},"Toolradar — Claude Desktop MCP Server Setup 2026（路径 \u002F 配置示例）",[613,1300,1301],{"href":1301,"rel":1302},"https:\u002F\u002Ftoolradar.com\u002Fblog\u002Fclaude-desktop-mcp-server-setup",[639],[43,1304,1305,1306],{},"MCP Playground — Complete 2026 Setup Guide ",[613,1307,1308],{"href":1308,"rel":1309},"https:\u002F\u002Fmcpplaygroundonline.com\u002Fblog\u002Fhow-to-setup-mcp-claude-desktop",[639],[43,1311,1312,1313],{},"Anthropic — Pricing（Pro $20 \u002F Max $100 \u002F Max+ $200 \u002F Team $30 \u002F Enterprise）",[613,1314,1315],{"href":1315,"rel":1316},"https:\u002F\u002Fwww.anthropic.com\u002Fpricing",[639],[662,1318,1319],{},"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":206,"searchDepth":254,"depth":254,"links":1321},[1322,1323,1324,1325,1326,1327,1328,1329,1330,1331],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":885,"depth":228,"text":886},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[1335,1338,1341,1344],{"q":1336,"a":1337},"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":1339,"a":1340},".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":1342,"a":1343},"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":1345,"a":1346},"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。",[697,696,1348],"multi",{},[1351,1352,1353],"macos","windows","linux",[1355,1358,1361,1365,1369,1373],{"plan":847,"price":707,"features":1356,"notes":1357},"基础 Claude Sonnet + MCP 支持 + 有限 message","试水 \u002F 个人轻度",{"plan":853,"price":1159,"features":1359,"notes":1360},"更多 message + Opus 模型 + Projects + 优先速度","个人主力",{"plan":859,"price":1362,"features":1363,"notes":1364},"$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":865,"price":1366,"features":1367,"notes":1368},"$200\u002F月","20x Pro 用量 + research preview 优先","极重度 \u002F Power user",{"plan":871,"price":1370,"features":1371,"notes":1372},"$30\u002Fuser·月","共享 Projects + admin + 用量分配 + 集中计费（最少 5 人）","小团队",{"plan":837,"price":716,"features":1374,"notes":1375},"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",[1378],{"name":1379,"url":1380},"MCP 工具开发实战","\u002Fplaybook\u002Fonboarding\u002Fmcp-tool-development",{"power":268,"ux":268,"price":254,"cn_support":228,"stability":268},{"title":385,"description":1333},"agent\u002Fdesktop\u002Fclaude-desktop",[1385,1387,1389,1391],{"name":1386,"url":1294,"accessed":731},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt）",{"name":1388,"url":1301,"accessed":731},"Toolradar — Claude Desktop MCP 设置 2026",{"name":1390,"url":1308,"accessed":731},"MCP Playground — 完整 2026 配置指南",{"name":1392,"url":1315,"accessed":731},"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",[1396,1397,1398,1399,1400],"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","F41_6nTB3IB0taC0-PKYD6rwo968g-EKpaZ-ZAGdXRc",{"id":1405,"title":1406,"alternatives":1407,"api_compatible":20,"body":1417,"category":677,"chinese_friendly":254,"cover":2116,"description":2117,"domestic":680,"extension":681,"faq":2118,"free":680,"github":20,"languages":2131,"meta":2132,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":758,"pillar":700,"platforms":2133,"priceTable":2137,"pricing":2141,"published":720,"relatedPlaybooks":2142,"relatedReviews":20,"score":2146,"self_host":257,"seo":2147,"slug":2148,"sources":2149,"stem":2158,"suitable":20,"tagline":2159,"tags":2160,"updated":731,"verdict":2166,"website":2078,"__hash__":2167},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush.md","Crush",[1408,1411,1414],{"name":1409,"url":1410},"claude-code","\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code",{"name":1412,"url":1413},"aider","\u002Ftools\u002Fcoding\u002Fcli\u002Faider",{"name":1415,"url":1416},"codex","\u002Ftools\u002Fcoding\u002Fcli\u002Fcodex",{"type":22,"value":1418,"toc":2104},[1419,1421,1424,1427,1429,1494,1496,1506,1511,1515,1519,1542,1546,1576,1578,1701,1706,1787,1789,1958,1960,2022,2024,2050,2052,2069,2071,2101],[25,1420,28],{"id":27},[30,1422,1423],{},"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）。",[30,1425,1426],{},"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）。",[25,1428,38],{"id":38},[40,1430,1431,1437,1443,1449,1455,1461,1467,1473,1479,1485],{},[43,1432,1433,1436],{},[46,1434,1435],{},"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",[43,1438,1439,1442],{},[46,1440,1441],{},"LSP 集成","：自动发现 + on-demand 启动，context-aware 代码理解",[43,1444,1445,1448],{},[46,1446,1447],{},"MCP 支持","：stdio \u002F HTTP \u002F SSE 三种 transport",[43,1450,1451,1454],{},[46,1452,1453],{},"Agent Skills 标准","：内置 skill discovery",[43,1456,1457,1460],{},[46,1458,1459],{},"AGENTS.md","：项目级 context 文件",[43,1462,1463,1466],{},[46,1464,1465],{},"SQLite session 持久化","：history navigation + 多会话隔离",[43,1468,1469,1472],{},[46,1470,1471],{},"桌面通知","：权限确认 + agent turn 完成提醒",[43,1474,1475,1478],{},[46,1476,1477],{},"跨平台二进制","：macOS + Linux + Windows（PowerShell + WSL）+ FreeBSD + OpenBSD + NetBSD + Android",[43,1480,1481,1484],{},[46,1482,1483],{},"Charm 生态","：Bubble Tea TUI + Lip Gloss 样式 + Glamour markdown + Bubbles 组件 + Fantasy LLM 抽象",[43,1486,1487,1493],{},[46,1488,1489,1492],{},[208,1490,1491],{},"@charmland\u002Fcrush"," NPM 包","：跨平台一键安装",[25,1495,112],{"id":112},[40,1497,1498,1503],{},[43,1499,1500,1502],{},[46,1501,847],{},"：$0；FSL-1.1-MIT（2 年后转 MIT）",[43,1504,1505],{},"真实成本 = LLM API 费用（自带 key）",[134,1507,1508],{},[30,1509,1510],{},"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。",[25,1512,1514],{"id":1513},"实测终端主力-macos-linux-ssh","实测（终端主力 \u002F macOS + Linux SSH）",[30,1516,1517],{},[46,1518,147],{},[40,1520,1521,1524,1527,1530,1533,1536,1539],{},[43,1522,1523],{},"TUI 颜值在终端 agent 里独一档，Bubble Tea 的丝滑动效",[43,1525,1526],{},"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",[43,1528,1529],{},"LSP 集成对 Go \u002F Rust \u002F TS \u002F Python 大型项目特别管用",[43,1531,1532],{},"MCP 三种 transport 覆盖几乎所有用例",[43,1534,1535],{},"AGENTS.md 让项目级 prompt 不丢",[43,1537,1538],{},"SQLite 多 session 隔离干净",[43,1540,1541],{},"跨平台二进制保留 SSH + 远程开发用户",[30,1543,1544],{},[46,1545,172],{},[40,1547,1548,1551,1554,1557,1560,1563,1566,1573],{},[43,1549,1550],{},"FSL-1.1-MIT 不是 OSI 标准开源，企业法务要审一遍",[43,1552,1553],{},"自带 API Key，新手要先准备至少一家 provider",[43,1555,1556],{},"~22MB+ 二进制 + Go runtime + SQLite，比 aider 重",[43,1558,1559],{},"仅 TUI，没 IDE 插件 \u002F web UI",[43,1561,1562],{},"160+ releases 节奏快，breaking change 偶发",[43,1564,1565],{},"中文 prompt 效果取决于底层模型，UI 文档英文为主",[43,1567,1568,1569,1572],{},"多模型 routing 默认策略可能不省钱，手动配 ",[208,1570,1571],{},"crush.json"," 更精细",[43,1574,1575],{},"Windows 原生 PowerShell 偶有渲染问题，WSL 体验更好",[25,1577,940],{"id":940},[201,1579,1581],{"className":203,"code":1580,"language":205,"meta":206,"style":206},"# 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",[208,1582,1583,1588,1598,1602,1607,1620,1624,1629,1639,1643,1648,1662,1674,1678,1684,1690,1695],{"__ignoreMap":206},[211,1584,1585],{"class":213,"line":214},[211,1586,1587],{"class":264},"# macOS\n",[211,1589,1590,1593,1595],{"class":213,"line":228},[211,1591,1592],{"class":217},"brew",[211,1594,245],{"class":221},[211,1596,1597],{"class":221}," charmbracelet\u002Ftap\u002Fcrush\n",[211,1599,1600],{"class":213,"line":254},[211,1601,258],{"emptyLinePlaceholder":257},[211,1603,1604],{"class":213,"line":261},[211,1605,1606],{"class":264},"# 跨平台 NPM\n",[211,1608,1609,1612,1614,1617],{"class":213,"line":268},[211,1610,1611],{"class":217},"npm",[211,1613,245],{"class":221},[211,1615,1616],{"class":231}," -g",[211,1618,1619],{"class":221}," @charmland\u002Fcrush\n",[211,1621,1622],{"class":213,"line":280},[211,1623,258],{"emptyLinePlaceholder":257},[211,1625,1626],{"class":213,"line":5},[211,1627,1628],{"class":264},"# Go 直装\n",[211,1630,1631,1634,1636],{"class":213,"line":290},[211,1632,1633],{"class":217},"go",[211,1635,245],{"class":221},[211,1637,1638],{"class":221}," github.com\u002Fcharmbracelet\u002Fcrush@latest\n",[211,1640,1641],{"class":213,"line":324},[211,1642,258],{"emptyLinePlaceholder":257},[211,1644,1645],{"class":213,"line":329},[211,1646,1647],{"class":264},"# 配置 API Key（任选）\n",[211,1649,1650,1653,1656,1659],{"class":213,"line":335},[211,1651,1652],{"class":309},"export",[211,1654,1655],{"class":238}," ANTHROPIC_API_KEY",[211,1657,1658],{"class":309},"=",[211,1660,1661],{"class":221},"\"sk-ant-...\"\n",[211,1663,1664,1666,1669,1671],{"class":213,"line":347},[211,1665,1652],{"class":309},[211,1667,1668],{"class":238}," OPENAI_API_KEY",[211,1670,1658],{"class":309},[211,1672,1673],{"class":221},"\"sk-...\"\n",[211,1675,1676],{"class":213,"line":358},[211,1677,258],{"emptyLinePlaceholder":257},[211,1679,1681],{"class":213,"line":1680},14,[211,1682,1683],{"class":264},"# 启动\n",[211,1685,1687],{"class":213,"line":1686},15,[211,1688,1689],{"class":217},"crush\n",[211,1691,1693],{"class":213,"line":1692},16,[211,1694,258],{"emptyLinePlaceholder":257},[211,1696,1698],{"class":213,"line":1697},17,[211,1699,1700],{"class":264},"# Ctrl+P → Switch Model 切换；Ctrl+S 切 session；输入 \u002Fhelp 看命令\n",[30,1702,1703,1705],{},[208,1704,1571],{}," 加 Z.AI GLM Coding Plan 自定义 provider：",[201,1707,1709],{"className":961,"code":1708,"language":963,"meta":206,"style":206},"{\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",[208,1710,1711,1715,1722,1729,1741,1753,1765,1775,1779,1783],{"__ignoreMap":206},[211,1712,1713],{"class":213,"line":214},[211,1714,970],{"class":238},[211,1716,1717,1720],{"class":213,"line":228},[211,1718,1719],{"class":231},"  \"providers\"",[211,1721,978],{"class":238},[211,1723,1724,1727],{"class":213,"line":254},[211,1725,1726],{"class":231},"    \"zai\"",[211,1728,978],{"class":238},[211,1730,1731,1734,1736,1739],{"class":213,"line":261},[211,1732,1733],{"class":231},"      \"id\"",[211,1735,993],{"class":238},[211,1737,1738],{"class":221},"\"zai\"",[211,1740,999],{"class":238},[211,1742,1743,1746,1748,1751],{"class":213,"line":268},[211,1744,1745],{"class":231},"      \"name\"",[211,1747,993],{"class":238},[211,1749,1750],{"class":221},"\"ZAI Provider\"",[211,1752,999],{"class":238},[211,1754,1755,1758,1760,1763],{"class":213,"line":280},[211,1756,1757],{"class":231},"      \"base_url\"",[211,1759,993],{"class":238},[211,1761,1762],{"class":221},"\"https:\u002F\u002Fapi.z.ai\u002Fapi\u002Fcoding\u002Fpaas\u002Fv4\"",[211,1764,999],{"class":238},[211,1766,1767,1770,1772],{"class":213,"line":5},[211,1768,1769],{"class":231},"      \"api_key\"",[211,1771,993],{"class":238},[211,1773,1774],{"class":221},"\"your_api_key\"\n",[211,1776,1777],{"class":213,"line":290},[211,1778,1029],{"class":238},[211,1780,1781],{"class":213,"line":324},[211,1782,1034],{"class":238},[211,1784,1785],{"class":213,"line":329},[211,1786,1039],{"class":238},[25,1788,367],{"id":367},[369,1790,1791,1808],{},[372,1792,1793],{},[375,1794,1795,1797,1799,1802,1805],{},[378,1796,380],{},[378,1798,1406],{},[378,1800,1801],{},"Claude Code",[378,1803,1804],{},"Aider",[378,1806,1807],{},"Codex CLI",[393,1809,1810,1827,1844,1857,1871,1886,1898,1913,1927,1942],{},[375,1811,1812,1815,1818,1821,1824],{},[398,1813,1814],{},"TUI 颜值",[398,1816,1817],{},"✅ 顶级",[398,1819,1820],{},"✅ 良好",[398,1822,1823],{},"文本朴素",[398,1825,1826],{},"一般",[375,1828,1829,1832,1835,1838,1841],{},[398,1830,1831],{},"多模型切换",[398,1833,1834],{},"✅ mid-session",[398,1836,1837],{},"Claude only",[398,1839,1840],{},"✅ 任意",[398,1842,1843],{},"OpenAI only",[375,1845,1846,1849,1851,1853,1855],{},[398,1847,1848],{},"LSP",[398,1850,1104],{},[398,1852,440],{},[398,1854,440],{},[398,1856,440],{},[375,1858,1859,1862,1865,1867,1869],{},[398,1860,1861],{},"MCP",[398,1863,1864],{},"✅ 全 transport",[398,1866,1864],{},[398,1868,440],{},[398,1870,443],{},[375,1872,1873,1876,1879,1882,1884],{},[398,1874,1875],{},"Skills",[398,1877,1878],{},"✅ 标准",[398,1880,1881],{},"✅ Skills 体系",[398,1883,440],{},[398,1885,440],{},[375,1887,1888,1890,1892,1894,1896],{},[398,1889,1459],{},[398,1891,1104],{},[398,1893,1104],{},[398,1895,440],{},[398,1897,440],{},[375,1899,1900,1903,1906,1908,1911],{},[398,1901,1902],{},"协议",[398,1904,1905],{},"FSL-1.1-MIT",[398,1907,423],{},[398,1909,1910],{},"Apache 2.0",[398,1912,423],{},[375,1914,1915,1917,1920,1922,1925],{},[398,1916,400],{},[398,1918,1919],{},"极广",[398,1921,409],{},[398,1923,1924],{},"全平台",[398,1926,409],{},[375,1928,1929,1931,1934,1937,1939],{},[398,1930,1156],{},[398,1932,1933],{},"$0 + API 费",[398,1935,1936],{},"API 费 \u002F Pro",[398,1938,1933],{},[398,1940,1941],{},"API 费 \u002F Plus",[375,1943,1944,1946,1949,1952,1955],{},[398,1945,509],{},[398,1947,1948],{},"终端 + 多模型 + Power user",[398,1950,1951],{},"Anthropic 生态",[398,1953,1954],{},"Git refactor",[398,1956,1957],{},"OpenAI 生态",[25,1959,524],{"id":524},[40,1961,1962,1968,1980,1986,1992,1998,2004,2010,2016],{},[43,1963,1964,1967],{},[46,1965,1966],{},"FSL 协议商业审查","：商业竞品场景前法务过一遍，2 年后转 MIT",[43,1969,1970,1973,1974,1977,1978],{},[46,1971,1972],{},"API Key 管理","：用 ",[208,1975,1976],{},"pass"," \u002F 1Password CLI \u002F direnv，不硬编码 ",[208,1979,1571],{},[43,1981,1982,1985],{},[46,1983,1984],{},"breaking change 跟进","：160+ releases 节奏快，pin 版本到 stable",[43,1987,1988,1991],{},[46,1989,1990],{},"LSP 启动慢","：大项目首次启动数秒，正常现象",[43,1993,1994,1997],{},[46,1995,1996],{},"Ollama 本地优先","：日常简单任务跑 7B，复杂任务再切云",[43,1999,2000,2003],{},[46,2001,2002],{},"Windows 用 WSL","：原生 PowerShell 有 ANSI 渲染坑",[43,2005,2006,2009],{},[46,2007,2008],{},"AGENTS.md 写好","：项目 context 决定 80% 体验，按官方模板写",[43,2011,2012,2015],{},[46,2013,2014],{},"session 切换勤快点","：不同任务开不同 session，history 干净",[43,2017,2018,2021],{},[46,2019,2020],{},"MCP server 信任评估","：装新 MCP 前看 source \u002F 权限",[25,2023,578],{"id":577},[40,2025,2026,2029,2032,2035,2038,2041,2044,2047],{},[43,2027,2028],{},"✅ 终端主力 \u002F SSH 远程开发",[43,2030,2031],{},"✅ 多模型用户（Claude + GPT + Gemini + Ollama 一起用）",[43,2033,2034],{},"✅ Go \u002F Rust \u002F TS \u002F Python 大型项目（LSP 加成大）",[43,2036,2037],{},"✅ 不想被单一 vendor 绑定",[43,2039,2040],{},"❌ 纯 GUI \u002F IDE 党",[43,2042,2043],{},"❌ 要 Anthropic 官方 Skills 体系（用 Claude Code）",[43,2045,2046],{},"❌ 要 OpenAI 桌面深度（用 Codex）",[43,2048,2049],{},"❌ 商业竞品 \u002F 法务严格场景（FSL 协议要审）",[25,2051,607],{"id":607},[40,2053,2054,2059,2064],{},[43,2055,2056],{},[613,2057,2058],{"href":1410},"Claude Code 评测",[43,2060,2061],{},[613,2062,2063],{"href":1413},"Aider 评测",[43,2065,2066],{},[613,2067,2068],{"href":1416},"Codex 评测",[25,2070,628],{"id":628},[630,2072,2073,2080,2087,2094],{},[43,2074,2075,2076],{},"Charmbracelet\u002Fcrush GitHub（24.7k stars \u002F 160 releases \u002F FSL-1.1-MIT）",[613,2077,2078],{"href":2078,"rel":2079},"https:\u002F\u002Fgithub.com\u002Fcharmbracelet\u002Fcrush",[639],[43,2081,2082,2083],{},"Artificialus — Crush 评测 2026 ",[613,2084,2085],{"href":2085,"rel":2086},"https:\u002F\u002Fartificialus.com\u002Fagents\u002Fcrush",[639],[43,2088,2089,2090],{},"Typevar — Crush 入门 + 安装 ",[613,2091,2092],{"href":2092,"rel":2093},"https:\u002F\u002Ftypevar.dev\u002Farticles\u002Fcharmbracelet\u002Fcrush",[639],[43,2095,2096,2097],{},"Z.AI Devpack — Crush + GLM Coding Plan 集成 ",[613,2098,2099],{"href":2099,"rel":2100},"https:\u002F\u002Fdocs.z.ai\u002Fdevpack\u002Ftool\u002Fcrush",[639],[662,2102,2103],{},"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":206,"searchDepth":254,"depth":254,"links":2105},[2106,2107,2108,2109,2110,2111,2112,2113,2114,2115],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":1513,"depth":228,"text":1514},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[2119,2122,2125,2128],{"q":2120,"a":2121},"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":2123,"a":2124},"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":2126,"a":2127},"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":2129,"a":2130},"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],{},[1351,1353,1352,2134,2135,2136,702],"freebsd","openbsd","netbsd",[2138],{"plan":847,"price":707,"features":2139,"notes":2140},"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",[2143],{"name":2144,"url":2145},"终端 AI Agent 工作流","\u002Fplaybook\u002Fonboarding\u002Fterminal-ai-agent-workflow",{"power":268,"ux":268,"price":268,"cn_support":254,"stability":261},{"title":1406,"description":2117},"agent\u002Fdesktop\u002Fcrush",[2150,2152,2154,2156],{"name":2151,"url":2078,"accessed":731},"Charmbracelet\u002Fcrush GitHub（24.7k stars \u002F 160 releases）",{"name":2153,"url":2085,"accessed":731},"Artificialus — Crush 评测（功能 \u002F 协议 \u002F 平台覆盖）",{"name":2155,"url":2092,"accessed":731},"Typevar — Crush 入门 + 使用场景",{"name":2157,"url":2099,"accessed":731},"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",[2161,2162,2163,2164,1397,744,2165],"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。","MBqz-2b1y9eFS2Xuu_IuQcT0Cw2WeLFRXsW9q48cbZk",{"id":2169,"title":388,"alternatives":2170,"api_compatible":20,"body":2174,"category":677,"chinese_friendly":261,"cover":2841,"description":2842,"domestic":680,"extension":681,"faq":2843,"free":680,"github":20,"languages":2855,"meta":2856,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":16,"pillar":700,"platforms":2857,"priceTable":2859,"pricing":2863,"published":720,"relatedPlaybooks":2864,"relatedReviews":20,"score":2868,"self_host":257,"seo":2869,"slug":2870,"sources":2871,"stem":2880,"suitable":20,"tagline":2881,"tags":2882,"updated":731,"verdict":2888,"website":2889,"__hash__":2890},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[2171,2172,2173],{"name":12,"url":13},{"name":755,"url":699},{"name":757,"url":758},{"type":22,"value":2175,"toc":2829},[2176,2178,2181,2184,2186,2254,2256,2270,2274,2278,2301,2305,2331,2333,2486,2489,2521,2523,2686,2688,2750,2752,2778,2780,2794,2796,2826],[25,2177,28],{"id":27},[30,2179,2180],{},"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。",[30,2182,2183],{},"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。",[25,2185,38],{"id":38},[40,2187,2188,2194,2200,2206,2212,2218,2224,2230,2236,2242,2248],{},[43,2189,2190,2193],{},[46,2191,2192],{},"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",[43,2195,2196,2199],{},[46,2197,2198],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[43,2201,2202,2205],{},[46,2203,2204],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[43,2207,2208,2211],{},[46,2209,2210],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[43,2213,2214,2217],{},[46,2215,2216],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[43,2219,2220,2223],{},[46,2221,2222],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[43,2225,2226,2229],{},[46,2227,2228],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[43,2231,2232,2235],{},[46,2233,2234],{},"多 LLM provider","：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[43,2237,2238,2241],{},[46,2239,2240],{},"MCP 兼容","：可调用 MCP server",[43,2243,2244,2247],{},[46,2245,2246],{},"Web Control UI","：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[43,2249,2250,2253],{},[46,2251,2252],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[25,2255,112],{"id":112},[40,2257,2258,2264,2267],{},[43,2259,2260,2263],{},[46,2261,2262],{},"Self-host OSS","：$0；MIT 完全开放",[43,2265,2266],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[43,2268,2269],{},"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",[25,2271,2273],{"id":2272},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[30,2275,2276],{},[46,2277,147],{},[40,2279,2280,2283,2286,2289,2292,2295,2298],{},[43,2281,2282],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[43,2284,2285],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[43,2287,2288],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[43,2290,2291],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[43,2293,2294],{},"本地 Ollama 路径让数据 + 隐私完全自主",[43,2296,2297],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[43,2299,2300],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[30,2302,2303],{},[46,2304,172],{},[40,2306,2307,2310,2313,2316,2319,2322,2325,2328],{},[43,2308,2309],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[43,2311,2312],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[43,2314,2315],{},"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",[43,2317,2318],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[43,2320,2321],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[43,2323,2324],{},"Web Control UI 在大量 session 下渲染偏慢",[43,2326,2327],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[43,2329,2330],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[25,2332,940],{"id":940},[201,2334,2336],{"className":203,"code":2335,"language":205,"meta":206,"style":206},"# 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",[208,2337,2338,2343,2354,2361,2365,2370,2389,2399,2404,2408,2413,2422,2443,2447,2452,2459,2463,2467,2475],{"__ignoreMap":206},[211,2339,2340],{"class":213,"line":214},[211,2341,2342],{"class":264},"# 方法一：NPM\n",[211,2344,2345,2347,2349,2351],{"class":213,"line":228},[211,2346,1611],{"class":217},[211,2348,245],{"class":221},[211,2350,1616],{"class":231},[211,2352,2353],{"class":221}," openclaw\n",[211,2355,2356,2358],{"class":213,"line":254},[211,2357,15],{"class":217},[211,2359,2360],{"class":231}," --version\n",[211,2362,2363],{"class":213,"line":261},[211,2364,258],{"emptyLinePlaceholder":257},[211,2366,2367],{"class":213,"line":268},[211,2368,2369],{"class":264},"# 方法二：Docker\n",[211,2371,2372,2375,2378,2381,2384,2387],{"class":213,"line":280},[211,2373,2374],{"class":217},"docker",[211,2376,2377],{"class":221}," run",[211,2379,2380],{"class":231}," -d",[211,2382,2383],{"class":231}," --name",[211,2385,2386],{"class":221}," openclaw",[211,2388,344],{"class":231},[211,2390,2391,2394,2397],{"class":213,"line":5},[211,2392,2393],{"class":231},"  -v",[211,2395,2396],{"class":221}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[211,2398,344],{"class":231},[211,2400,2401],{"class":213,"line":290},[211,2402,2403],{"class":221},"  openclaw\u002Fopenclaw:latest\n",[211,2405,2406],{"class":213,"line":324},[211,2407,258],{"emptyLinePlaceholder":257},[211,2409,2410],{"class":213,"line":329},[211,2411,2412],{"class":264},"# 方法三：源码\n",[211,2414,2415,2417,2419],{"class":213,"line":335},[211,2416,218],{"class":217},[211,2418,222],{"class":221},[211,2420,2421],{"class":221}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[211,2423,2424,2426,2428,2430,2432,2434,2436,2438,2440],{"class":213,"line":347},[211,2425,232],{"class":231},[211,2427,2386],{"class":221},[211,2429,239],{"class":238},[211,2431,1611],{"class":217},[211,2433,245],{"class":221},[211,2435,239],{"class":238},[211,2437,1611],{"class":217},[211,2439,2377],{"class":221},[211,2441,2442],{"class":221}," start\n",[211,2444,2445],{"class":213,"line":358},[211,2446,258],{"emptyLinePlaceholder":257},[211,2448,2449],{"class":213,"line":1680},[211,2450,2451],{"class":264},"# 引导配置（model \u002F channel \u002F 权限）\n",[211,2453,2454,2456],{"class":213,"line":1686},[211,2455,15],{"class":217},[211,2457,2458],{"class":221}," onboard\n",[211,2460,2461],{"class":213,"line":1692},[211,2462,258],{"emptyLinePlaceholder":257},[211,2464,2465],{"class":213,"line":1697},[211,2466,1683],{"class":264},[211,2468,2470,2472],{"class":213,"line":2469},18,[211,2471,15],{"class":217},[211,2473,2474],{"class":264},"                 # CLI\n",[211,2476,2478,2480,2483],{"class":213,"line":2477},19,[211,2479,15],{"class":217},[211,2481,2482],{"class":221}," dashboard",[211,2484,2485],{"class":264},"       # Web UI\n",[30,2487,2488],{},"配本地免费 Ollama：",[201,2490,2492],{"className":203,"code":2491,"language":205,"meta":206,"style":206},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[208,2493,2494,2505],{"__ignoreMap":206},[211,2495,2496,2499,2502],{"class":213,"line":214},[211,2497,2498],{"class":217},"ollama",[211,2500,2501],{"class":221}," pull",[211,2503,2504],{"class":221}," llama3\n",[211,2506,2507,2509,2512,2515,2518],{"class":213,"line":228},[211,2508,15],{"class":217},[211,2510,2511],{"class":221}," config",[211,2513,2514],{"class":221}," set",[211,2516,2517],{"class":221}," ai.provider",[211,2519,2520],{"class":221}," \"ollama\"\n",[25,2522,367],{"id":367},[369,2524,2525,2539],{},[372,2526,2527],{},[375,2528,2529,2531,2533,2535,2537],{},[378,2530,380],{},[378,2532,388],{},[378,2534,385],{},[378,2536,9],{},[378,2538,1406],{},[393,2540,2541,2558,2572,2586,2602,2615,2627,2642,2657,2671],{},[375,2542,2543,2546,2549,2552,2555],{},[398,2544,2545],{},"形态",[398,2547,2548],{},"IM 网关 + 多 Agent 自治",[398,2550,2551],{},"桌面客户端 + MCP",[398,2553,2554],{},"Phone\u002FWeb GUI agent",[398,2556,2557],{},"终端 TUI agent",[375,2559,2560,2563,2566,2568,2570],{},[398,2561,2562],{},"7×24 Heartbeat",[398,2564,2565],{},"✅ 30 分钟",[398,2567,440],{},[398,2569,440],{},[398,2571,440],{},[375,2573,2574,2577,2580,2582,2584],{},[398,2575,2576],{},"多 IM 渠道",[398,2578,2579],{},"✅ 20+",[398,2581,440],{},[398,2583,440],{},[398,2585,440],{},[375,2587,2588,2591,2594,2597,2599],{},[398,2589,2590],{},"Skills 市场",[398,2592,2593],{},"✅ ClawHub 5400+",[398,2595,2596],{},"✅ MCP Connectors",[398,2598,440],{},[398,2600,2601],{},"✅ Agent Skills 标准",[375,2603,2604,2606,2608,2610,2612],{},[398,2605,2204],{},[398,2607,1104],{},[398,2609,801],{},[398,2611,440],{},[398,2613,2614],{},"session",[375,2616,2617,2619,2621,2623,2625],{},[398,2618,417],{},[398,2620,426],{},[398,2622,423],{},[398,2624,420],{},[398,2626,1905],{},[375,2628,2629,2632,2635,2637,2640],{},[398,2630,2631],{},"本地 LLM",[398,2633,2634],{},"✅ Ollama 友好",[398,2636,440],{},[398,2638,2639],{},"✅ 9B 自模型",[398,2641,1104],{},[375,2643,2644,2647,2650,2653,2655],{},[398,2645,2646],{},"中国大陆友好",[398,2648,2649],{},"✅ 完全",[398,2651,2652],{},"❌ 支付",[398,2654,1104],{},[398,2656,1094],{},[375,2658,2659,2661,2663,2666,2668],{},[398,2660,1156],{},[398,2662,707],{},[398,2664,2665],{},"$20\u002F月 +",[398,2667,707],{},[398,2669,2670],{},"$0 + API",[375,2672,2673,2675,2678,2680,2683],{},[398,2674,509],{},[398,2676,2677],{},"7×24 IM 触发个人 agent",[398,2679,515],{},[398,2681,2682],{},"Phone GUI",[398,2684,2685],{},"终端 power user",[25,2687,524],{"id":524},[40,2689,2690,2696,2702,2708,2714,2720,2726,2732,2738,2744],{},[43,2691,2692,2695],{},[46,2693,2694],{},"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",[43,2697,2698,2701],{},[46,2699,2700],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[43,2703,2704,2707],{},[46,2705,2706],{},"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",[43,2709,2710,2713],{},[46,2711,2712],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[43,2715,2716,2719],{},[46,2717,2718],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[43,2721,2722,2725],{},[46,2723,2724],{},"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",[43,2727,2728,2731],{},[46,2729,2730],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[43,2733,2734,2737],{},[46,2735,2736],{},"Windows 走 WSL2","：原生 Windows 兼容差",[43,2739,2740,2743],{},[46,2741,2742],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[43,2745,2746,2749],{},[46,2747,2748],{},"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",[25,2751,578],{"id":577},[40,2753,2754,2757,2760,2763,2766,2769,2772,2775],{},[43,2755,2756],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[43,2758,2759],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[43,2761,2762],{},"✅ 数据隐私敏感 + 自托管刚需",[43,2764,2765],{},"✅ 中国大陆用户走本地 Ollama 全免费",[43,2767,2768],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[43,2770,2771],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[43,2773,2774],{},"❌ 要一键就跑的非技术用户",[43,2776,2777],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[25,2779,607],{"id":607},[40,2781,2782,2786,2790],{},[43,2783,2784],{},[613,2785,615],{"href":13},[43,2787,2788],{},[613,2789,1279],{"href":699},[43,2791,2792],{},[613,2793,1284],{"href":758},[25,2795,628],{"id":628},[630,2797,2798,2805,2812,2819],{},[43,2799,2800,2801],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[613,2802,2803],{"href":2803,"rel":2804},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[639],[43,2806,2807,2808],{},"技术栈 — OpenClaw 2026 实战指南 ",[613,2809,2810],{"href":2810,"rel":2811},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[639],[43,2813,2814,2815],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[613,2816,2817],{"href":2817,"rel":2818},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[639],[43,2820,2821,2822],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[613,2823,2824],{"href":2824,"rel":2825},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[639],[662,2827,2828],{},"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":206,"searchDepth":254,"depth":254,"links":2830},[2831,2832,2833,2834,2835,2836,2837,2838,2839,2840],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":2272,"depth":228,"text":2273},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[2844,2847,2850,2853],{"q":2845,"a":2846},"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":2848,"a":2849},"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":2851,"a":2852},"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":1342,"a":2854},"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。",[697,696,1348],{},[1351,1353,2858,2374],"windows-wsl",[2860],{"plan":2262,"price":707,"features":2861,"notes":2862},"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）",[2865],{"name":2866,"url":2867},"搭建个人 7x24 AI Agent","\u002Fplaybook\u002Fonboarding\u002Fpersonal-247-ai-agent",{"power":268,"ux":261,"price":268,"cn_support":261,"stability":261},{"title":388,"description":2842},"agent\u002Fdesktop\u002Fopenclaw",[2872,2874,2876,2878],{"name":2873,"url":2803,"accessed":731},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 多渠道）",{"name":2875,"url":2810,"accessed":731},"技术栈 — OpenClaw 2026 实战指南",{"name":2877,"url":2817,"accessed":731},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat）",{"name":2879,"url":2824,"accessed":731},"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",[744,2883,2884,1397,2885,2886,2887,15],"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","44nqEv_CBMUBt9TZcBUdQuLkcDI69Y7GH1xir5o3o94",{"id":2892,"title":2893,"alternatives":2894,"api_compatible":20,"body":2900,"category":3391,"chinese_friendly":254,"cover":3392,"description":3393,"domestic":680,"extension":681,"faq":3394,"free":680,"github":20,"languages":3406,"meta":3407,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":3408,"pillar":700,"platforms":3409,"priceTable":3410,"pricing":3423,"published":720,"relatedPlaybooks":3424,"relatedReviews":20,"score":3428,"self_host":680,"seo":3429,"slug":3430,"sources":3431,"stem":3439,"suitable":20,"tagline":3440,"tags":3441,"updated":731,"verdict":3446,"website":3447,"__hash__":3448},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[2895,2896,2897],{"name":12,"url":13},{"name":15,"url":16},{"name":2898,"url":2899},"flowith","\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith",{"type":22,"value":2901,"toc":3379},[2902,2904,2907,2910,2912,2980,2982,3005,3010,3014,3018,3041,3045,3071,3073,3096,3098,3244,3246,3302,3304,3330,3332,3347,3349],[25,2903,28],{"id":27},[30,2905,2906],{},"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。",[30,2908,2909],{},"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。",[25,2911,38],{"id":38},[40,2913,2914,2920,2926,2932,2938,2944,2950,2956,2962,2968,2974],{},[43,2915,2916,2919],{},[46,2917,2918],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[43,2921,2922,2925],{},[46,2923,2924],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[43,2927,2928,2931],{},[46,2929,2930],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[43,2933,2934,2937],{},[46,2935,2936],{},"200+ Skills","：power user 社区贡献的能力包",[43,2939,2940,2943],{},[46,2941,2942],{},"MCP 集成","：可调用 MCP server 工具",[43,2945,2946,2949],{},[46,2947,2948],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[43,2951,2952,2955],{},[46,2953,2954],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[43,2957,2958,2961],{},[46,2959,2960],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[43,2963,2964,2967],{},[46,2965,2966],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[43,2969,2970,2973],{},[46,2971,2972],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[43,2975,2976,2979],{},[46,2977,2978],{},"3 周免费试用","：体验完整再决策",[25,2981,112],{"id":112},[40,2983,2984,2990,2996,3002],{},[43,2985,2986,2989],{},[46,2987,2988],{},"Free Trial","：3 周完整功能，无信用卡",[43,2991,2992,2995],{},[46,2993,2994],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[43,2997,2998,3001],{},[46,2999,3000],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[43,3003,3004],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[134,3006,3007],{},[30,3008,3009],{},"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。",[25,3011,3013],{"id":3012},"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）",[30,3015,3016],{},[46,3017,147],{},[40,3019,3020,3023,3026,3029,3032,3035,3038],{},[43,3021,3022],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[43,3024,3025],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[43,3027,3028],{},"50+ Assistants 节省 prompt engineering 时间",[43,3030,3031],{},"数据本地 + 无 telemetry，隐私党非常友好",[43,3033,3034],{},"一次买断 vs 多家月费的累计性价比高",[43,3036,3037],{},"BYO API 让账单透明，不会有平台抽成",[43,3039,3040],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[30,3042,3043],{},[46,3044,172],{},[40,3046,3047,3050,3053,3056,3059,3062,3065,3068],{},[43,3048,3049],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[43,3051,3052],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[43,3054,3055],{},"移动端缺失，出门用不上",[43,3057,3058],{},"Linux 版本更新偶尔比 macOS 慢",[43,3060,3061],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[43,3063,3064],{},"50+ Assistants 质量参差，要挑高赞的用",[43,3066,3067],{},"团队协作 \u002F 云同步不是产品重点",[43,3069,3070],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[25,3072,940],{"id":940},[630,3074,3075,3078,3081,3084,3087,3090,3093],{},[43,3076,3077],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[43,3079,3080],{},"启动 → 3 周免费试用激活",[43,3082,3083],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[43,3085,3086],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[43,3088,3089],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[43,3091,3092],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[43,3094,3095],{},"满意后选 Personal $59 \u002F Business $99 买断",[25,3097,367],{"id":367},[369,3099,3100,3115],{},[372,3101,3102],{},[375,3103,3104,3106,3108,3111,3113],{},[378,3105,380],{},[378,3107,2893],{},[378,3109,3110],{},"Raycast AI",[378,3112,385],{},[378,3114,1059],{},[393,3116,3117,3131,3147,3162,3175,3187,3200,3215,3228],{},[375,3118,3119,3122,3124,3127,3129],{},[398,3120,3121],{},"全局 hotkey",[398,3123,1817],{},[398,3125,3126],{},"✅ Raycast",[398,3128,446],{},[398,3130,446],{},[375,3132,3133,3136,3138,3141,3144],{},[398,3134,3135],{},"BYO API",[398,3137,1104],{},[398,3139,3140],{},"❌ 内置",[398,3142,3143],{},"❌ Anthropic",[398,3145,3146],{},"❌ OpenAI",[375,3148,3149,3152,3155,3158,3160],{},[398,3150,3151],{},"一次买断",[398,3153,3154],{},"✅ $59-99",[398,3156,3157],{},"$10\u002F月",[398,3159,1159],{},[398,3161,1159],{},[375,3163,3164,3167,3169,3171,3173],{},[398,3165,3166],{},"多模型一窗",[398,3168,1104],{},[398,3170,1104],{},[398,3172,1837],{},[398,3174,1843],{},[375,3176,3177,3179,3181,3183,3185],{},[398,3178,1861],{},[398,3180,1104],{},[398,3182,443],{},[398,3184,1074],{},[398,3186,443],{},[375,3188,3189,3191,3194,3196,3198],{},[398,3190,2960],{},[398,3192,3193],{},"✅ 零云",[398,3195,440],{},[398,3197,440],{},[398,3199,440],{},[375,3201,3202,3204,3207,3210,3212],{},[398,3203,400],{},[398,3205,3206],{},"macOS\u002FWin\u002FLinux",[398,3208,3209],{},"macOS only",[398,3211,3206],{},[398,3213,3214],{},"macOS\u002FWin",[375,3216,3217,3220,3222,3224,3226],{},[398,3218,3219],{},"移动端",[398,3221,429],{},[398,3223,429],{},[398,3225,440],{},[398,3227,1104],{},[375,3229,3230,3232,3235,3238,3241],{},[398,3231,509],{},[398,3233,3234],{},"全局 AI + 多模型 + 买断",[398,3236,3237],{},"Mac 启动器 + AI",[398,3239,3240],{},"MCP 生态",[398,3242,3243],{},"OpenAI 全家桶",[25,3245,524],{"id":524},[40,3247,3248,3254,3260,3266,3272,3278,3284,3290,3296],{},[43,3249,3250,3253],{},[46,3251,3252],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[43,3255,3256,3259],{},[46,3257,3258],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[43,3261,3262,3265],{},[46,3263,3264],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[43,3267,3268,3271],{},[46,3269,3270],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[43,3273,3274,3277],{},[46,3275,3276],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[43,3279,3280,3283],{},[46,3281,3282],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[43,3285,3286,3289],{},[46,3287,3288],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[43,3291,3292,3295],{},[46,3293,3294],{},"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",[43,3297,3298,3301],{},[46,3299,3300],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[25,3303,578],{"id":577},[40,3305,3306,3309,3312,3315,3318,3321,3324,3327],{},[43,3307,3308],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[43,3310,3311],{},"✅ 多模型用户不想被单 vendor 锁定",[43,3313,3314],{},"✅ 隐私敏感 + 数据全本地",[43,3316,3317],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[43,3319,3320],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[43,3322,3323],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[43,3325,3326],{},"❌ 不想管理 API Key 的纯用户",[43,3328,3329],{},"❌ 中国大陆海外卡 + API 不可得",[25,3331,607],{"id":607},[40,3333,3334,3338,3342],{},[43,3335,3336],{},[613,3337,615],{"href":13},[43,3339,3340],{},[613,3341,620],{"href":16},[43,3343,3344],{},[613,3345,3346],{"href":2899},"Flowith 评测",[25,3348,628],{"id":628},[630,3350,3351,3358,3365,3372],{},[43,3352,3353,3354],{},"Alice 官网（heyalice.app）",[613,3355,3356],{"href":3356,"rel":3357},"https:\u002F\u002Fheyalice.app\u002F",[639],[43,3359,3360,3361],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[613,3362,3363],{"href":3363,"rel":3364},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[639],[43,3366,3367,3368],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[613,3369,3370],{"href":3370,"rel":3371},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[639],[43,3373,3374,3375],{},"Skywork — Alice AI Ultimate 2026 Guide ",[613,3376,3377],{"href":3377,"rel":3378},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[639],{"title":206,"searchDepth":254,"depth":254,"links":3380},[3381,3382,3383,3384,3385,3386,3387,3388,3389,3390],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":3012,"depth":228,"text":3013},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[3395,3398,3401,3404],{"q":3396,"a":3397},"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":3399,"a":3400},"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":3402,"a":3403},"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":1342,"a":3405},"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",[1351,1352,1353],[3411,3415,3419],{"plan":2988,"price":3412,"features":3413,"notes":3414},"$0 · 3 周","完整功能体验","无信用卡",{"plan":2994,"price":3416,"features":3417,"notes":3418},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":3000,"price":3420,"features":3421,"notes":3422},"~$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",[3425],{"name":3426,"url":3427},"macOS 全局 AI 工作流","\u002Fplaybook\u002Fonboarding\u002Fmacos-global-ai-workflow",{"power":261,"ux":268,"price":261,"cn_support":254,"stability":261},{"title":2893,"description":3393},"agent\u002Fgeneral\u002Falice",[3432,3433,3435,3437],{"name":3353,"url":3356,"accessed":731},{"name":3434,"url":3363,"accessed":731},"Comparateur-IA — Alice AI Review 2026",{"name":3436,"url":3370,"accessed":731},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":3438,"url":3377,"accessed":731},"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",[3442,2163,3443,3444,3445,1351],"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","D4cSWts4Gbjfw2LPLECK9ae_inIY-gb4mF5L0saydBI",{"id":3450,"title":3451,"alternatives":3452,"api_compatible":20,"body":3459,"category":3391,"chinese_friendly":261,"cover":3932,"description":3933,"domestic":680,"extension":681,"faq":3934,"free":680,"github":20,"languages":3947,"meta":3948,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":2899,"pillar":700,"platforms":3949,"priceTable":3952,"pricing":3968,"published":720,"relatedPlaybooks":3969,"relatedReviews":20,"score":3973,"self_host":680,"seo":3974,"slug":3975,"sources":3976,"stem":3985,"suitable":20,"tagline":3986,"tags":3987,"updated":731,"verdict":3991,"website":3897,"__hash__":3992},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[3453,3456,3458],{"name":3454,"url":3455},"genspark","\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",{"name":3457,"url":3408},"alice",{"name":12,"url":13},{"type":22,"value":3460,"toc":3920},[3461,3463,3466,3469,3471,3532,3534,3558,3563,3567,3571,3594,3598,3624,3626,3646,3648,3779,3781,3842,3844,3870,3872,3888,3890],[25,3462,28],{"id":27},[30,3464,3465],{},"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。",[30,3467,3468],{},"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。",[25,3470,38],{"id":38},[40,3472,3473,3479,3485,3491,3497,3503,3509,3515,3521,3527],{},[43,3474,3475,3478],{},[46,3476,3477],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[43,3480,3481,3484],{},[46,3482,3483],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[43,3486,3487,3490],{},[46,3488,3489],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[43,3492,3493,3496],{},[46,3494,3495],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[43,3498,3499,3502],{},[46,3500,3501],{},"多线程并行","：同时跑多个 thread，画布一览",[43,3504,3505,3508],{},[46,3506,3507],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[43,3510,3511,3514],{},[46,3512,3513],{},"iOS App","：2026 上线，移动 workspace 访问",[43,3516,3517,3520],{},[46,3518,3519],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[43,3522,3523,3526],{},[46,3524,3525],{},"商业授权","：Pro+ 包含商业使用权",[43,3528,3529,3531],{},[46,3530,2246],{},"：浏览器原生，多设备同步",[25,3533,112],{"id":112},[40,3535,3536,3541,3546,3552],{},[43,3537,3538,3540],{},[46,3539,847],{},"：$0；300 一次性 credits（试水级）",[43,3542,3543,3545],{},[46,3544,853],{},"：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[43,3547,3548,3551],{},[46,3549,3550],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[43,3553,3554,3557],{},[46,3555,3556],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[134,3559,3560],{},[30,3561,3562],{},"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。",[25,3564,3566],{"id":3565},"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）",[30,3568,3569],{},[46,3570,147],{},[40,3572,3573,3576,3579,3582,3585,3588,3591],{},[43,3574,3575],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[43,3577,3578],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[43,3580,3581],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[43,3583,3584],{},"40+ 模型一窗体内切换 + 对比",[43,3586,3587],{},"多设备同步流畅",[43,3589,3590],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[43,3592,3593],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[30,3595,3596],{},[46,3597,172],{},[40,3599,3600,3603,3606,3609,3612,3615,3618,3621],{},[43,3601,3602],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[43,3604,3605],{},"学习曲线明显，画布操作 + 节点连线要花时间",[43,3607,3608],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[43,3610,3611],{},"Free 300 credits 不够体验完整流程",[43,3613,3614],{},"Agent Neo 偶尔『过度自治』产出不可控",[43,3616,3617],{},"移动 iOS 体验不如桌面 Web",[43,3619,3620],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[43,3622,3623],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[25,3625,940],{"id":940},[630,3627,3628,3631,3634,3637,3640,3643],{},[43,3629,3630],{},"flowith.io → Free 注册 → 拿 300 credits",[43,3632,3633],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[43,3635,3636],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[43,3638,3639],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[43,3641,3642],{},"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",[43,3644,3645],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[25,3647,367],{"id":367},[369,3649,3650,3667],{},[372,3651,3652],{},[375,3653,3654,3656,3658,3661,3664],{},[378,3655,380],{},[378,3657,3451],{},[378,3659,3660],{},"Genspark",[378,3662,3663],{},"ChatGPT",[378,3665,3666],{},"Claude",[393,3668,3669,3684,3701,3718,3735,3749,3763],{},[375,3670,3671,3673,3676,3679,3682],{},[398,3672,2545],{},[398,3674,3675],{},"无限画布 + 节点",[398,3677,3678],{},"多 Agent + Sparkpage",[398,3680,3681],{},"线性 chat",[398,3683,3681],{},[375,3685,3686,3689,3692,3695,3698],{},[398,3687,3688],{},"自治 agent",[398,3690,3691],{},"✅ Neo 1000+ 步",[398,3693,3694],{},"✅ Super Agent",[398,3696,3697],{},"✅ Operator",[398,3699,3700],{},"❌（API 走）",[375,3702,3703,3706,3709,3712,3715],{},[398,3704,3705],{},"上下文",[398,3707,3708],{},"10M token",[398,3710,3711],{},"200K",[398,3713,3714],{},"1M（GPT-5）",[398,3716,3717],{},"1M（Claude）",[375,3719,3720,3723,3726,3729,3732],{},[398,3721,3722],{},"模型数",[398,3724,3725],{},"40+",[398,3727,3728],{},"多家",[398,3730,3731],{},"OpenAI",[398,3733,3734],{},"Anthropic",[375,3736,3737,3740,3743,3745,3747],{},[398,3738,3739],{},"Knowledge base",[398,3741,3742],{},"✅ Seeds",[398,3744,440],{},[398,3746,801],{},[398,3748,801],{},[375,3750,3751,3753,3756,3759,3761],{},[398,3752,1156],{},[398,3754,3755],{},"$19.90\u002F月",[398,3757,3758],{},"$25\u002F月",[398,3760,1159],{},[398,3762,1159],{},[375,3764,3765,3767,3770,3773,3776],{},[398,3766,509],{},[398,3768,3769],{},"深度多线程 + 长任务",[398,3771,3772],{},"全能 Super Agent",[398,3774,3775],{},"通用",[398,3777,3778],{},"Coding \u002F 长文",[25,3780,524],{"id":524},[40,3782,3783,3789,3795,3801,3807,3813,3819,3825,3830,3836],{},[43,3784,3785,3788],{},[46,3786,3787],{},"从 Pro 起","：Free 300 credits 玩不出深度",[43,3790,3791,3794],{},[46,3792,3793],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[43,3796,3797,3800],{},[46,3798,3799],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[43,3802,3803,3806],{},[46,3804,3805],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[43,3808,3809,3812],{},[46,3810,3811],{},"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",[43,3814,3815,3818],{},[46,3816,3817],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[43,3820,3821,3824],{},[46,3822,3823],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[43,3826,3827,3829],{},[46,3828,3219],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[43,3831,3832,3835],{},[46,3833,3834],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[43,3837,3838,3841],{},[46,3839,3840],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[25,3843,578],{"id":577},[40,3845,3846,3849,3852,3855,3858,3861,3864,3867],{},[43,3847,3848],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[43,3850,3851],{},"✅ 要 10M token 超长上下文做综合分析",[43,3853,3854],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[43,3856,3857],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[43,3859,3860],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[43,3862,3863],{},"❌ 预算极紧 + 不愿学习曲线",[43,3865,3866],{},"❌ 线性思维 + 单线程偏好",[43,3868,3869],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[25,3871,607],{"id":607},[40,3873,3874,3879,3884],{},[43,3875,3876],{},[613,3877,3878],{"href":3455},"Genspark 评测",[43,3880,3881],{},[613,3882,3883],{"href":3408},"Alice 评测",[43,3885,3886],{},[613,3887,615],{"href":13},[25,3889,628],{"id":628},[630,3891,3892,3899,3906,3913],{},[43,3893,3894,3895],{},"Flowith 官网 + Pricing ",[613,3896,3897],{"href":3897,"rel":3898},"https:\u002F\u002Fflowith.io",[639],[43,3900,3901,3902],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[613,3903,3904],{"href":3904,"rel":3905},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[639],[43,3907,3908,3909],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[613,3910,3911],{"href":3911,"rel":3912},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[639],[43,3914,3915,3916],{},"OpenTools — Flowith Review May 2026 ",[613,3917,3918],{"href":3918,"rel":3919},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[639],{"title":206,"searchDepth":254,"depth":254,"links":3921},[3922,3923,3924,3925,3926,3927,3928,3929,3930,3931],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":3565,"depth":228,"text":3566},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[3935,3938,3941,3944],{"q":3936,"a":3937},"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":3939,"a":3940},"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":3942,"a":3943},"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":3945,"a":3946},"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。",[697,696,1348],{},[704,3950,3951],"ios","macos-flowithos",[3953,3957,3960,3964],{"plan":3954,"price":707,"features":3955,"notes":3956},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":853,"price":3755,"features":3958,"notes":3959},"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":3550,"price":3961,"features":3962,"notes":3963},"$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":3556,"price":3965,"features":3966,"notes":3967},"$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）",[3970],{"name":3971,"url":3972},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":268,"ux":261,"price":254,"cn_support":261,"stability":261},{"title":3451,"description":3933},"agent\u002Fgeneral\u002Fflowith",[3977,3979,3981,3983],{"name":3978,"url":3897,"accessed":731},"Flowith 官网",{"name":3980,"url":3904,"accessed":731},"Toolworthy — Flowith Review 2026",{"name":3982,"url":3911,"accessed":731},"BlockSentient — Flowith 2026 详细评测",{"name":3984,"url":3918,"accessed":731},"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",[3988,2163,3989,3990,2898],"canvas","agentic","knowledge-base","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。","1G-cIIvtfc6wJrzZ2tqkoue9acTv8_N8J8o9iggM9Z0",{"id":3994,"title":3660,"alternatives":3995,"api_compatible":20,"body":3999,"category":3391,"chinese_friendly":261,"cover":4496,"description":4497,"domestic":680,"extension":681,"faq":4498,"free":680,"github":20,"languages":4511,"meta":4512,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":3455,"pillar":700,"platforms":4513,"priceTable":4514,"pricing":4523,"published":720,"relatedPlaybooks":4524,"relatedReviews":20,"score":4528,"self_host":680,"seo":4529,"slug":4530,"sources":4531,"stem":4540,"suitable":20,"tagline":4541,"tags":4542,"updated":731,"verdict":4546,"website":4547,"__hash__":4548},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[3996,3997,3998],{"name":2898,"url":2899},{"name":12,"url":13},{"name":3457,"url":3408},{"type":22,"value":4000,"toc":4484},[4001,4003,4006,4009,4011,4085,4087,4111,4116,4120,4124,4147,4151,4177,4179,4199,4201,4350,4352,4408,4410,4436,4438,4452,4454],[25,4002,28],{"id":27},[30,4004,4005],{},"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。",[30,4007,4008],{},"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）。",[25,4010,38],{"id":38},[40,4012,4013,4019,4025,4031,4037,4043,4049,4055,4061,4067,4073,4079],{},[43,4014,4015,4018],{},[46,4016,4017],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[43,4020,4021,4024],{},[46,4022,4023],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[43,4026,4027,4030],{},[46,4028,4029],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[43,4032,4033,4036],{},[46,4034,4035],{},"AI Slides","：10-15 张幻灯片含图表",[43,4038,4039,4042],{},[46,4040,4041],{},"AI Sites","：完整 landing page 一键生成",[43,4044,4045,4048],{},[46,4046,4047],{},"AI Video","：30-60s 短视频生成",[43,4050,4051,4054],{},[46,4052,4053],{},"AI Pods","：10 分钟 AI podcast 生成",[43,4056,4057,4060],{},[46,4058,4059],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[43,4062,4063,4066],{},[46,4064,4065],{},"AI Sheets","：CSV 数据分析 + 自动图表",[43,4068,4069,4072],{},[46,4070,4071],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[43,4074,4075,4078],{},[46,4076,4077],{},"iOS \u002F Android App","：移动端可用",[43,4080,4081,4084],{},[46,4082,4083],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[25,4086,112],{"id":112},[40,4088,4089,4094,4100,4105],{},[43,4090,4091,4093],{},[46,4092,847],{},"：100-200 daily credits（~3-8 简单任务）",[43,4095,4096,4099],{},[46,4097,4098],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[43,4101,4102,4104],{},[46,4103,853],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[43,4106,4107,4110],{},[46,4108,4109],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[134,4112,4113],{},[30,4114,4115],{},"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。",[25,4117,4119],{"id":4118},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[30,4121,4122],{},[46,4123,147],{},[40,4125,4126,4129,4132,4135,4138,4141,4144],{},[43,4127,4128],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[43,4130,4131],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[43,4133,4134],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[43,4136,4137],{},"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",[43,4139,4140],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[43,4142,4143],{},"Sparkpage 输出可直接分享 + 嵌入",[43,4145,4146],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[30,4148,4149],{},[46,4150,172],{},[40,4152,4153,4156,4159,4162,4165,4168,4171,4174],{},[43,4154,4155],{},"credit 消耗不透明，复杂任务前难估算成本",[43,4157,4158],{},"用户反馈 customer support + refund 有问题",[43,4160,4161],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[43,4163,4164],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[43,4166,4167],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[43,4169,4170],{},"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",[43,4172,4173],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[43,4175,4176],{},"Pro $249 月价格陡，中端断档",[25,4178,940],{"id":940},[630,4180,4181,4184,4187,4190,4193,4196],{},[43,4182,4183],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[43,4185,4186],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[43,4188,4189],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[43,4191,4192],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[43,4194,4195],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[43,4197,4198],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[25,4200,367],{"id":367},[369,4202,4203,4219],{},[372,4204,4205],{},[375,4206,4207,4209,4211,4213,4216],{},[378,4208,380],{},[378,4210,3660],{},[378,4212,3451],{},[378,4214,4215],{},"Perplexity Pro",[378,4217,4218],{},"ChatGPT Plus",[393,4220,4221,4236,4251,4265,4279,4294,4308,4321,4335],{},[375,4222,4223,4225,4228,4231,4233],{},[398,4224,4017],{},[398,4226,4227],{},"✅ 多 Agent",[398,4229,4230],{},"✅ Neo 自治",[398,4232,440],{},[398,4234,4235],{},"Operator",[375,4237,4238,4241,4244,4247,4249],{},[398,4239,4240],{},"可视化输出",[398,4242,4243],{},"✅ Sparkpage",[398,4245,4246],{},"✅ 画布",[398,4248,440],{},[398,4250,440],{},[375,4252,4253,4256,4259,4261,4263],{},[398,4254,4255],{},"真实电话调用",[398,4257,4258],{},"✅ Call For Me",[398,4260,440],{},[398,4262,440],{},[398,4264,440],{},[375,4266,4267,4270,4273,4275,4277],{},[398,4268,4269],{},"一键建站",[398,4271,4272],{},"✅ AI Sites",[398,4274,440],{},[398,4276,440],{},[398,4278,440],{},[375,4280,4281,4284,4287,4289,4291],{},[398,4282,4283],{},"视频 \u002F 音频生成",[398,4285,4286],{},"✅ Video \u002F Pods",[398,4288,443],{},[398,4290,440],{},[398,4292,4293],{},"Sora（独立）",[375,4295,4296,4299,4302,4304,4306],{},[398,4297,4298],{},"引用透明",[398,4300,4301],{},"中",[398,4303,440],{},[398,4305,1817],{},[398,4307,443],{},[375,4309,4310,4312,4315,4317,4319],{},[398,4311,1156],{},[398,4313,4314],{},"$25\u002F月（Plus）",[398,4316,3755],{},[398,4318,1159],{},[398,4320,1159],{},[375,4322,4323,4326,4329,4331,4333],{},[398,4324,4325],{},"最贵",[398,4327,4328],{},"$249\u002F月",[398,4330,3965],{},[398,4332,1159],{},[398,4334,1366],{},[375,4336,4337,4339,4342,4345,4348],{},[398,4338,509],{},[398,4340,4341],{},"一站式 Super Agent",[398,4343,4344],{},"画布深度",[398,4346,4347],{},"搜索引用",[398,4349,3775],{},[25,4351,524],{"id":524},[40,4353,4354,4360,4366,4372,4378,4384,4390,4396,4402],{},[43,4355,4356,4359],{},[46,4357,4358],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[43,4361,4362,4365],{},[46,4363,4364],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[43,4367,4368,4371],{},[46,4369,4370],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[43,4373,4374,4377],{},[46,4375,4376],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[43,4379,4380,4383],{},[46,4381,4382],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[43,4385,4386,4389],{},[46,4387,4388],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[43,4391,4392,4395],{},[46,4393,4394],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[43,4397,4398,4401],{},[46,4399,4400],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[43,4403,4404,4407],{},[46,4405,4406],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[25,4409,578],{"id":577},[40,4411,4412,4415,4418,4421,4424,4427,4430,4433],{},[43,4413,4414],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[43,4416,4417],{},"✅ Plus $25 重度多模型不限 chat 用户",[43,4419,4420],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[43,4422,4423],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[43,4425,4426],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[43,4428,4429],{},"❌ 学术严谨场景",[43,4431,4432],{},"❌ 预算极紧",[43,4434,4435],{},"❌ 要画布 + 多线程深度（用 Flowith）",[25,4437,607],{"id":607},[40,4439,4440,4444,4448],{},[43,4441,4442],{},[613,4443,3346],{"href":2899},[43,4445,4446],{},[613,4447,615],{"href":13},[43,4449,4450],{},[613,4451,3883],{"href":3408},[25,4453,628],{"id":628},[630,4455,4456,4463,4470,4477],{},[43,4457,4458,4459],{},"Genspark Pricing 官方 ",[613,4460,4461],{"href":4461,"rel":4462},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[639],[43,4464,4465,4466],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[613,4467,4468],{"href":4468,"rel":4469},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[639],[43,4471,4472,4473],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[613,4474,4475],{"href":4475,"rel":4476},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[639],[43,4478,4479,4480],{},"Lindy — Genspark Features 2026 Tested ",[613,4481,4482],{"href":4482,"rel":4483},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[639],{"title":206,"searchDepth":254,"depth":254,"links":4485},[4486,4487,4488,4489,4490,4491,4492,4493,4494,4495],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":4118,"depth":228,"text":4119},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[4499,4502,4505,4508],{"q":4500,"a":4501},"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":4503,"a":4504},"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":4506,"a":4507},"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":4509,"a":4510},"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。",[697,696,1348],{},[704,3950,702],[4515,4517,4520],{"plan":847,"price":707,"features":4516,"notes":3956},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":4098,"price":3758,"features":4518,"notes":4519},"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":853,"price":4328,"features":4521,"notes":4522},"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",[4525],{"name":4526,"url":4527},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":268,"ux":261,"price":254,"cn_support":254,"stability":261},{"title":3660,"description":4497},"agent\u002Fgeneral\u002Fgenspark",[4532,4534,4536,4538],{"name":4533,"url":4461,"accessed":731},"Genspark 官网 + Pricing",{"name":4535,"url":4468,"accessed":731},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":4537,"url":4475,"accessed":731},"Rimo — Genspark 2026 + ARR $250M",{"name":4539,"url":4482,"accessed":731},"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",[4543,2885,4544,4545,3454],"super-agent","sparkpage","call-agent","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","msB2Gmp0hSoRiCfluF8I7R7lzBx0TE0qU867bIQF6Lo",{"id":4550,"title":4551,"alternatives":4552,"api_compatible":4556,"body":4557,"category":3391,"chinese_friendly":261,"cover":5452,"description":5453,"domestic":680,"extension":681,"faq":20,"free":680,"github":20,"languages":5454,"meta":5455,"models":5456,"navigation":257,"notSuitable":5461,"opensource":680,"path":5466,"pillar":700,"platforms":5467,"priceTable":5468,"pricing":5483,"published":5484,"relatedPlaybooks":20,"relatedReviews":20,"score":5485,"self_host":680,"seo":5486,"slug":5487,"sources":5488,"stem":5504,"suitable":5505,"tagline":5511,"tags":5512,"updated":731,"verdict":5518,"website":4940,"__hash__":5519},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[4530,4553,4554,4555],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":22,"value":4558,"toc":5432},[4559,4561,4599,4604,4607,4670,4673,4678,4686,4691,4698,4702,4710,4775,4780,4784,4791,4795,4803,4808,4825,4828,4831,4834,4841,4844,4850,4905,4911,4918,4923,4929,4933,4976,4979,5018,5021,5192,5197,5214,5219,5239,5242,5308,5310,5313,5330,5333,5354,5356,5406,5408,5425],[25,4560,28],{"id":27},[4562,4563,4568,4584],"div",{"className":4564},[4565,4566,4567],"card","p-5","my-4",[30,4569,4570,4573,4574,4577,4578,4583],{},[46,4571,4572],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[46,4575,4576],{},"邀请码一度被炒到 ¥5 万-10 万","（",[613,4579,4582],{"href":4580,"rel":4581},"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。",[30,4585,4586,4587,4577,4590,4594,4595,4598],{},"2025-12 传被 ",[46,4588,4589],{},"Meta 以约 20-30 亿美元收购",[613,4591,4593],{"href":4580,"rel":4592},[639],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[46,4596,4597],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[134,4600,4601],{},[30,4602,4603],{},"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。",[25,4605,4606],{"id":4606},"背景与公司",[40,4608,4609,4620,4626,4632,4638,4648,4658,4664],{},[43,4610,4611,4614,4615,4619],{},[46,4612,4613],{},"公司","：Butterfly Effect Pte. Ltd.（",[613,4616,4618],{"href":4580,"rel":4617},[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）",[43,4621,4622,4625],{},[46,4623,4624],{},"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）",[43,4627,4628,4631],{},[46,4629,4630],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[43,4633,4634,4637],{},[46,4635,4636],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[43,4639,4640,4643,4644,4647],{},[46,4641,4642],{},"Manus 启动","：2024-10 立项，灵感来自 ",[613,4645,1062],{"href":4646},"\u002Fcoding\u002Fide\u002Fcursor.html","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[43,4649,4650,4653,4654],{},[46,4651,4652],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[613,4655,4657],{"href":4580,"rel":4656},[639],"Demo 视频 20 小时百万播放",[43,4659,4660,4663],{},[46,4661,4662],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[43,4665,4666,4669],{},[46,4667,4668],{},"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",[25,4671,4672],{"id":4672},"核心特性",[4674,4675,4677],"h3",{"id":4676},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[30,4679,4680,4685],{},[613,4681,4684],{"href":4682,"rel":4683},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[639],"Pick Right 2026-04 评测"," 描述的架构：",[134,4687,4688],{},[30,4689,4690],{},"\"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.\"",[30,4692,4693,4694,4697],{},"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 ",[46,4695,4696],{},"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。",[4674,4699,4701],{"id":4700},"通用-agent-模式","通用 Agent 模式",[30,4703,4704,4709],{},[613,4705,4708],{"href":4706,"rel":4707},"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）：",[369,4711,4712,4721],{},[372,4713,4714],{},[375,4715,4716,4718],{},[378,4717,1115],{},[378,4719,4720],{},"GAIA 准确率",[393,4722,4723,4735,4743,4751,4759,4767],{},[375,4724,4725,4730],{},[398,4726,4727],{},[46,4728,4729],{},"Manus AI",[398,4731,4732],{},[46,4733,4734],{},">65%（SOTA）",[375,4736,4737,4740],{},[398,4738,4739],{},"H2O.ai (h2oGPTe)",[398,4741,4742],{},"65%",[375,4744,4745,4748],{},[398,4746,4747],{},"Google Langfun",[398,4749,4750],{},"49%",[375,4752,4753,4756],{},[398,4754,4755],{},"Microsoft o1",[398,4757,4758],{},"38%",[375,4760,4761,4764],{},[398,4762,4763],{},"OpenAI GPT-4o",[398,4765,4766],{},"32%",[375,4768,4769,4772],{},[398,4770,4771],{},"OpenAI GPT-4 + Plugins",[398,4773,4774],{},"15-30%",[134,4776,4777],{},[30,4778,4779],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[4674,4781,4783],{"id":4782},"后台执行-长任务","后台执行 + 长任务",[30,4785,4786,4787,4790],{},"最特别的体验：任务下达后",[46,4788,4789],{},"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。",[4674,4792,4794],{"id":4793},"web-app-builder","Web App Builder",[30,4796,4797,4798,4802],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[613,4799,4801],{"href":4682,"rel":4800},[639],"Pick Right 评测"," 直白警告：",[134,4804,4805],{},[30,4806,4807],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[30,4809,4810,4811,4815,4816,4815,4820,4824],{},"复杂场景下出 bug 多，目前不建议生产部署，",[613,4812,4814],{"href":4813},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[613,4817,4819],{"href":4818},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[613,4821,4823],{"href":4822},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[4674,4826,4827],{"id":4827},"桌面应用",[30,4829,4830],{},"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。",[4674,4832,4833],{"id":4833},"多模型路由",[30,4835,4836,4837,4840],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[46,4838,4839],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[25,4842,4843],{"id":4843},"价格与运行成本",[30,4845,4846,4849],{},[613,4847,4801],{"href":4682,"rel":4848},[639]," 公开档位：",[369,4851,4852,4864],{},[372,4853,4854],{},[375,4855,4856,4859,4861],{},[378,4857,4858],{},"档位",[378,4860,112],{},[378,4862,4863],{},"关键点",[393,4865,4866,4875,4884,4894],{},[375,4867,4868,4870,4872],{},[398,4869,847],{},[398,4871,707],{},[398,4873,4874],{},"每日有限 credits，够 1 个高强度任务\u002F天",[375,4876,4877,4879,4881],{},[398,4878,853],{},[398,4880,1159],{},[398,4882,4883],{},"大多数付费用户落点；中等 credit + 多模型",[375,4885,4886,4888,4891],{},[398,4887,4098],{},[398,4889,4890],{},"$50\u002F月",[398,4892,4893],{},"更高 credit + 优先队列，10+ 任务\u002F周",[375,4895,4896,4899,4902],{},[398,4897,4898],{},"Pro+ \u002F Team",[398,4900,4901],{},"最高 $200\u002F月",[398,4903,4904],{},"最大 credit + 团队空间（功能仍有限）",[30,4906,4907,4910],{},[46,4908,4909],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[30,4912,4913,4917],{},[613,4914,4916],{"href":4682,"rel":4915},[639],"Pick Right 真实使用反馈","：",[134,4919,4920],{},[30,4921,4922],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[30,4924,4925,4928],{},[46,4926,4927],{},"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。",[25,4930,4932],{"id":4931},"上手-5-分钟","上手 5 分钟",[630,4934,4935,4943,4946,4961,4964,4970,4973],{},[43,4936,4937,4938],{},"打开 ",[613,4939,4942],{"href":4940,"rel":4941},"https:\u002F\u002Fmanus.im",[639],"manus.im",[43,4944,4945],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[43,4947,4948,4949,4952,4953],{},"给一个完整任务描述（",[46,4950,4951],{},"关键","：不要碎片化指令，给全场景）\n",[201,4954,4959],{"className":4955,"code":4957,"language":4958},[4956],"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",[208,4960,4957],{"__ignoreMap":206},[43,4962,4963],{},"选模型路由（Auto 推荐）",[43,4965,4966,4967,4969],{},"提交后",[46,4968,4789],{},"——任务在云端跑",[43,4971,4972],{},"完成后邮件 \u002F 站内通知",[43,4974,4975],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[25,4977,4978],{"id":4978},"国内使用注意事项",[630,4980,4981,4991,4997,5003],{},[43,4982,4983,4917,4986,4990],{},[46,4984,4985],{},"大陆访问被屏蔽",[613,4987,4989],{"href":4580,"rel":4988},[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",[43,4992,4993,4996],{},[46,4994,4995],{},"访问需稳定代理","：日韩 \u002F 美国节点",[43,4998,4999,5002],{},[46,5000,5001],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[43,5004,5005,5008,5009,5012,5013,5017],{},[46,5006,5007],{},"替代路径","：国内可考虑 ",[613,5010,3660],{"href":5011},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[613,5014,5016],{"href":5015},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[25,5019,5020],{"id":5020},"与同类怎么选",[369,5022,5023,5047],{},[372,5024,5025],{},[375,5026,5027,5029,5031,5037,5041,5044],{},[378,5028,380],{},[378,5030,4551],{},[378,5032,5033],{},[613,5034,5036],{"href":5035},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[378,5038,5039],{},[613,5040,3660],{"href":5011},[378,5042,5043],{},"ChatGPT Deep Research",[378,5045,5046],{},"GenAgent",[393,5048,5049,5068,5087,5106,5121,5137,5154,5172],{},[375,5050,5051,5054,5057,5060,5063,5066],{},[398,5052,5053],{},"核心定位",[398,5055,5056],{},"通用 Agent",[398,5058,5059],{},"AI 程序员",[398,5061,5062],{},"AI 搜索 + Agent",[398,5064,5065],{},"LLM Deep Research",[398,5067,3775],{},[375,5069,5070,5073,5076,5079,5081,5084],{},[398,5071,5072],{},"架构",[398,5074,5075],{},"多 sub-agent 并行",[398,5077,5078],{},"单 Agent + 沙盒",[398,5080,1124],{},[398,5082,5083],{},"单模型",[398,5085,5086],{},"—",[375,5088,5089,5092,5095,5098,5101,5104],{},[398,5090,5091],{},"长任务",[398,5093,5094],{},"★★★★★ 小时级",[398,5096,5097],{},"★★★★★",[398,5099,5100],{},"★★★☆☆",[398,5102,5103],{},"★★★★☆",[398,5105,5100],{},[375,5107,5108,5111,5113,5115,5117,5119],{},[398,5109,5110],{},"引用密度",[398,5112,5097],{},[398,5114,5100],{},[398,5116,5103],{},[398,5118,5100],{},[398,5120,5100],{},[375,5122,5123,5126,5129,5131,5133,5135],{},[398,5124,5125],{},"App Builder",[398,5127,5128],{},"⚠️ 有但 buggy",[398,5130,429],{},[398,5132,429],{},[398,5134,429],{},[398,5136,429],{},[375,5138,5139,5142,5145,5148,5150,5152],{},[398,5140,5141],{},"中文",[398,5143,5144],{},"⚠️ 大陆屏蔽",[398,5146,5147],{},"⚠️",[398,5149,5097],{},[398,5151,5147],{},[398,5153,5103],{},[375,5155,5156,5158,5161,5164,5167,5170],{},[398,5157,112],{},[398,5159,5160],{},"$20-$200",[398,5162,5163],{},"$500\u002F月",[398,5165,5166],{},"$24.99\u002F月",[398,5168,5169],{},"随 ChatGPT Plus",[398,5171,5086],{},[375,5173,5174,5177,5180,5183,5186,5189],{},[398,5175,5176],{},"适合场景",[398,5178,5179],{},"research \u002F 数据分析",[398,5181,5182],{},"写代码 \u002F 修 bug",[398,5184,5185],{},"信息检索",[398,5187,5188],{},"单次深度研究",[398,5190,5191],{},"综合",[30,5193,5194,4917],{},[46,5195,5196],{},"选 Manus 如果你",[40,5198,5199,5205,5208,5211],{},[43,5200,5201,5202],{},"重视 research \u002F 数据分析任务的 ",[46,5203,5204],{},"引用密度和结构化输出",[43,5206,5207],{},"想试\"开任务下班、明早看结果\"的工作流",[43,5209,5210],{},"海外 \u002F 能解决账号网络问题",[43,5212,5213],{},"预算 $20-$50\u002F月，重度用户",[30,5215,5216,4917],{},[46,5217,5218],{},"别选 Manus 如果你",[40,5220,5221,5230,5233,5236],{},[43,5222,5223,5224,4815,5226,5229],{},"国内裸用（",[613,5225,3660],{"href":5011},[613,5227,5228],{"href":5015},"Yuanbao"," 更顺）",[43,5231,5232],{},"想生产部署 App（Web App Builder bug 多）",[43,5234,5235],{},"团队协作场景（功能不完善）",[43,5237,5238],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[25,5240,5241],{"id":5241},"避坑清单",[40,5243,5244,5250,5260,5266,5272,5284,5290,5296],{},[43,5245,5246,5249],{},[46,5247,5248],{},"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",[43,5251,5252,4917,5255,5259],{},[46,5253,5254],{},"credit 烧得比官方页面暗示的快",[613,5256,5258],{"href":4682,"rel":5257},[639],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[43,5261,5262,5265],{},[46,5263,5264],{},"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",[43,5267,5268,5271],{},[46,5269,5270],{},"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",[43,5273,5274,5277,5278,5283],{},[46,5275,5276],{},"每次任务从零开始","：没有持久 workspace，不像 ",[613,5279,5282],{"href":5280,"rel":5281},"https:\u002F\u002Fclaude.com",[639],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[43,5285,5286,5289],{},[46,5287,5288],{},"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",[43,5291,5292,5295],{},[46,5293,5294],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[43,5297,5298,5301,5302,5307],{},[46,5299,5300],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[613,5303,5306],{"href":5304,"rel":5305},"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",[25,5309,578],{"id":577},[30,5311,5312],{},"✅ 适合：",[40,5314,5315,5318,5321,5324,5327],{},[43,5316,5317],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[43,5319,5320],{},"CSV \u002F Excel 重的数据分析任务",[43,5322,5323],{},"长任务 + 不想盯着看（小时级）",[43,5325,5326],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[43,5328,5329],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[30,5331,5332],{},"❌ 不适合：",[40,5334,5335,5338,5341,5344,5347],{},[43,5336,5337],{},"生产级应用部署",[43,5339,5340],{},"团队协作工作流",[43,5342,5343],{},"预算极敏感（free 档非常受限）",[43,5345,5346],{},"大陆稳定访问需求",[43,5348,5349,5350,5353],{},"需要深度持久上下文（用 ",[613,5351,5282],{"href":5280,"rel":5352},[639]," \u002F ChatGPT Custom GPT 等）",[25,5355,607],{"id":607},[40,5357,5358,5369,5380,5395],{},[43,5359,5360,5361,4815,5363,5365,5366,5368],{},"同类对比：",[613,5362,5036],{"href":5035},[613,5364,3660],{"href":5011}," \u002F Elicit \u002F ",[613,5367,5228],{"href":5015}," \u002F Metaso",[43,5370,5371,5372,4815,5376,5379],{},"概念：",[613,5373,5375],{"href":5374},"\u002Fwiki\u002Fai-agent.html","AI Agent",[613,5377,5378],{"href":5374},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[43,5381,5382,5383,4815,5387,4815,5391],{},"模型：",[613,5384,5386],{"href":5385},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[613,5388,5390],{"href":5389},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[613,5392,5394],{"href":5393},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[43,5396,5397,5398,4815,5402],{},"进阶：",[613,5399,5401],{"href":5400},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[613,5403,5405],{"href":5404},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[25,5407,628],{"id":628},[40,5409,5410,5416,5419,5422],{},[43,5411,5412,5413],{},"官网：",[613,5414,4940],{"href":4940,"rel":5415},[639],[43,5417,5418],{},"Wikipedia：\"Manus (AI agent)\" 条目",[43,5420,5421],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[43,5423,5424],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[30,5426,5427,5428,5431],{},"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 ",[613,5429,5430],{"href":5430},"\u002Fsubmit"," 反馈。",{"title":206,"searchDepth":254,"depth":254,"links":5433},[5434,5435,5436,5444,5445,5446,5447,5448,5449,5450,5451],{"id":27,"depth":228,"text":28},{"id":4606,"depth":228,"text":4606},{"id":4672,"depth":228,"text":4672,"children":5437},[5438,5439,5440,5441,5442,5443],{"id":4676,"depth":254,"text":4677},{"id":4700,"depth":254,"text":4701},{"id":4782,"depth":254,"text":4783},{"id":4793,"depth":254,"text":4794},{"id":4827,"depth":254,"text":4827},{"id":4833,"depth":254,"text":4833},{"id":4843,"depth":228,"text":4843},{"id":4931,"depth":228,"text":4932},{"id":4978,"depth":228,"text":4978},{"id":5020,"depth":228,"text":5020},{"id":5241,"depth":228,"text":5241},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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],{},[5457,5458,5459,5460],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[5462,5463,5464,5465],"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",[704,1352,1351,1353],[5469,5472,5476,5479],{"plan":847,"price":707,"limit":5470,"cn_pay":5086,"note":5471},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":853,"price":1159,"limit":5473,"cn_pay":5474,"note":5475},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":4098,"price":4890,"limit":5477,"cn_pay":5147,"note":5478},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":5480,"price":1366,"limit":5481,"cn_pay":5147,"note":5482},"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",{"power":268,"ux":268,"price":254,"cn_support":261,"stability":254},{"title":4551,"description":5453},"agent\u002Fgeneral\u002Fmanus",[5489,5491,5494,5496,5498,5501],{"title":5490,"url":4940},"Manus 官网",{"title":5492,"url":5493},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":5495,"url":4682},"Manus AI Review 2026 (Pick Right)",{"title":5497,"url":4706},"Info-Tech Manus Assessment",{"title":5499,"url":5500},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":5502,"url":5503},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[5506,5507,5508,5509,5510],"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",[5513,5514,5515,2885,5516,5517],"general-agent","autonomous","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。","O4Blta1lc6gHSQ-IjoJnM1VUjXgL-Ctf1CslTb_4O08",{"id":5521,"title":5522,"alternatives":5523,"api_compatible":20,"body":5532,"category":3391,"chinese_friendly":254,"cover":6046,"description":6047,"domestic":680,"extension":681,"faq":6048,"free":680,"github":20,"languages":6060,"meta":6061,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":6062,"pillar":700,"platforms":6063,"priceTable":6064,"pricing":6080,"published":720,"relatedPlaybooks":6081,"relatedReviews":20,"score":6085,"self_host":257,"seo":6086,"slug":6087,"sources":6088,"stem":6097,"suitable":20,"tagline":6098,"tags":6099,"updated":731,"verdict":6102,"website":6103,"__hash__":6104},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[5524,5526,5529],{"name":2498,"url":5525},"\u002Ftools\u002Fcoding\u002Flocal\u002Follama",{"name":5527,"url":5528},"lm-studio","\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio",{"name":5530,"url":5531},"open-webui","\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",{"type":22,"value":5533,"toc":6034},[5534,5536,5539,5542,5544,5618,5620,5644,5649,5653,5657,5683,5687,5713,5715,5738,5740,5898,5900,5955,5957,5983,5985,6002,6004],[25,5535,28],{"id":27},[30,5537,5538],{},"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。",[30,5540,5541],{},"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）。",[25,5543,38],{"id":38},[40,5545,5546,5552,5558,5564,5570,5576,5582,5588,5594,5600,5606,5612],{},[43,5547,5548,5551],{},[46,5549,5550],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[43,5553,5554,5557],{},[46,5555,5556],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[43,5559,5560,5563],{},[46,5561,5562],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[43,5565,5566,5569],{},[46,5567,5568],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[43,5571,5572,5575],{},[46,5573,5574],{},"Prompt Studio","：变量 + 模板 + 测试",[43,5577,5578,5581],{},[46,5579,5580],{},"Persona Studio","：自定义角色 + 工具 + context",[43,5583,5584,5587],{},[46,5585,5586],{},"Skills Studio","：可复用能力包",[43,5589,5590,5593],{},[46,5591,5592],{},"Agent Mode","：多步执行 + 工具调用",[43,5595,5596,5599],{},[46,5597,5598],{},"Flowchart 对话","：分支可视化",[43,5601,5602,5605],{},[46,5603,5604],{},"Real-time 数据","：实时 web fetch",[43,5607,5608,5611],{},[46,5609,5610],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[43,5613,5614,5617],{},[46,5615,5616],{},"Cloud Sync","（Aurum）：跨设备同步对话",[25,5619,112],{"id":112},[40,5621,5622,5627,5633,5639],{},[43,5623,5624,5626],{},[46,5625,847],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[43,5628,5629,5632],{},[46,5630,5631],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[43,5634,5635,5638],{},[46,5636,5637],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[43,5640,5641,5643],{},[46,5642,837],{},"：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[134,5645,5646],{},[30,5647,5648],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[25,5650,5652],{"id":5651},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[30,5654,5655],{},[46,5656,147],{},[40,5658,5659,5662,5665,5668,5671,5674,5677,5680],{},[43,5660,5661],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[43,5663,5664],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[43,5666,5667],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[43,5669,5670],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[43,5672,5673],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[43,5675,5676],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[43,5678,5679],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[43,5681,5682],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[30,5684,5685],{},[46,5686,172],{},[40,5688,5689,5692,5695,5698,5701,5704,5707,5710],{},[43,5690,5691],{},"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",[43,5693,5694],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[43,5696,5697],{},"桌面 only，无 iOS \u002F Android",[43,5699,5700],{},"llama.cpp 更新滞后官方上游 1-2 版本",[43,5702,5703],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[43,5705,5706],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[43,5708,5709],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[43,5711,5712],{},"中文 UI 不完整，部分功能仍是英文",[25,5714,940],{"id":940},[630,5716,5717,5720,5723,5726,5729,5732,5735],{},[43,5718,5719],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[43,5721,5722],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[43,5724,5725],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[43,5727,5728],{},"加云模型：OpenAI Key + Anthropic Key",[43,5730,5731],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[43,5733,5734],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[43,5736,5737],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[25,5739,367],{"id":367},[369,5741,5742,5759],{},[372,5743,5744],{},[375,5745,5746,5748,5750,5753,5756],{},[378,5747,380],{},[378,5749,5522],{},[378,5751,5752],{},"Ollama",[378,5754,5755],{},"LM Studio",[378,5757,5758],{},"Jan",[393,5760,5761,5776,5791,5804,5816,5829,5843,5856,5868,5882],{},[375,5762,5763,5766,5769,5772,5774],{},[398,5764,5765],{},"GUI",[398,5767,5768],{},"✅ 颜值高",[398,5770,5771],{},"❌ CLI",[398,5773,1104],{},[398,5775,1104],{},[375,5777,5778,5781,5784,5786,5789],{},[398,5779,5780],{},"本地引擎",[398,5782,5783],{},"MLX\u002Fllama.cpp\u002FOllama",[398,5785,5752],{},[398,5787,5788],{},"llama.cpp",[398,5790,5788],{},[375,5792,5793,5796,5798,5800,5802],{},[398,5794,5795],{},"云模型",[398,5797,1104],{},[398,5799,429],{},[398,5801,429],{},[398,5803,443],{},[375,5805,5806,5808,5810,5812,5814],{},[398,5807,5562],{},[398,5809,1074],{},[398,5811,429],{},[398,5813,443],{},[398,5815,440],{},[375,5817,5818,5820,5823,5825,5827],{},[398,5819,5568],{},[398,5821,5822],{},"✅ per-conv",[398,5824,429],{},[398,5826,429],{},[398,5828,443],{},[375,5830,5831,5834,5837,5839,5841],{},[398,5832,5833],{},"Studios",[398,5835,5836],{},"✅ Prompt\u002FPersona\u002FSkills",[398,5838,440],{},[398,5840,440],{},[398,5842,440],{},[375,5844,5845,5847,5849,5851,5853],{},[398,5846,417],{},[398,5848,429],{},[398,5850,426],{},[398,5852,429],{},[398,5854,5855],{},"✅ Apache 2.0",[375,5857,5858,5860,5862,5864,5866],{},[398,5859,1156],{},[398,5861,707],{},[398,5863,707],{},[398,5865,707],{},[398,5867,707],{},[375,5869,5870,5873,5876,5878,5880],{},[398,5871,5872],{},"终身",[398,5874,5875],{},"$349",[398,5877,440],{},[398,5879,440],{},[398,5881,440],{},[375,5883,5884,5886,5889,5892,5895],{},[398,5885,509],{},[398,5887,5888],{},"桌面颜值 + 多模型",[398,5890,5891],{},"CLI \u002F Server",[398,5893,5894],{},"模型市场",[398,5896,5897],{},"严格开源",[25,5899,524],{"id":524},[40,5901,5902,5908,5914,5920,5926,5932,5938,5944,5950],{},[43,5903,5904,5907],{},[46,5905,5906],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[43,5909,5910,5913],{},[46,5911,5912],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[43,5915,5916,5919],{},[46,5917,5918],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[43,5921,5922,5925],{},[46,5923,5924],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[43,5927,5928,5931],{},[46,5929,5930],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[43,5933,5934,5937],{},[46,5935,5936],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[43,5939,5940,5943],{},[46,5941,5942],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[43,5945,5946,5949],{},[46,5947,5948],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[43,5951,5952,5954],{},[46,5953,3300],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[25,5956,578],{"id":577},[40,5958,5959,5962,5965,5968,5971,5974,5977,5980],{},[43,5960,5961],{},"✅ 隐私敏感 + 数据零云",[43,5963,5964],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[43,5966,5967],{},"✅ 不愿学 Ollama CLI 的非工程师",[43,5969,5970],{},"✅ 多模型对比决策场景",[43,5972,5973],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[43,5975,5976],{},"❌ 要 mobile 移动主力",[43,5978,5979],{},"❌ 团队协作 + 共享 workspace",[43,5981,5982],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[25,5984,607],{"id":607},[40,5986,5987,5992,5997],{},[43,5988,5989],{},[613,5990,5991],{"href":5525},"Ollama 评测",[43,5993,5994],{},[613,5995,5996],{"href":5528},"LM Studio 评测",[43,5998,5999],{},[613,6000,6001],{"href":5531},"Open WebUI 评测",[25,6003,628],{"id":628},[630,6005,6006,6013,6020,6027],{},[43,6007,6008,6009],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[613,6010,6011],{"href":6011,"rel":6012},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[639],[43,6014,6015,6016],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[613,6017,6018],{"href":6018,"rel":6019},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[639],[43,6021,6022,6023],{},"ML Journey — Msty Multi-model Comparison Guide ",[613,6024,6025],{"href":6025,"rel":6026},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[639],[43,6028,6029,6030],{},"AISO Tools — Msty Pricing 2026 ",[613,6031,6032],{"href":6032,"rel":6033},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[639],{"title":206,"searchDepth":254,"depth":254,"links":6035},[6036,6037,6038,6039,6040,6041,6042,6043,6044,6045],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":5651,"depth":228,"text":5652},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[6049,6052,6055,6058],{"q":6050,"a":6051},"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":6053,"a":6054},"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":6056,"a":6057},"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":1342,"a":6059},"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。",[697,1348],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[1351,1352,1353,704],[6065,6068,6072,6076],{"plan":847,"price":707,"features":6066,"notes":6067},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":5631,"price":6069,"features":6070,"notes":6071},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":5637,"price":6073,"features":6074,"notes":6075},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":837,"price":6077,"features":6078,"notes":6079},"$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",[6082],{"name":6083,"url":6084},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":261,"ux":268,"price":268,"cn_support":254,"stability":261},{"title":5522,"description":6047},"agent\u002Fgeneral\u002Fmsty",[6089,6091,6093,6095],{"name":6090,"url":6011,"accessed":731},"Msty 官网 + Features",{"name":6092,"url":6018,"accessed":731},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":6094,"url":6025,"accessed":731},"ML Journey — Msty Local LLM Comparison Guide",{"name":6096,"url":6032,"accessed":731},"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",[6100,2163,3444,3990,6101],"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","fpfoiXkk8MMUyRVhYjBVH-obs7K8TDT8HK_Fgt5GfAM",{"id":6106,"title":6107,"alternatives":6108,"api_compatible":20,"body":6118,"category":3391,"chinese_friendly":261,"cover":6745,"description":6746,"domestic":680,"extension":681,"faq":6747,"free":680,"github":20,"languages":6760,"meta":6761,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":6762,"pillar":700,"platforms":6763,"priceTable":6764,"pricing":6768,"published":720,"relatedPlaybooks":6769,"relatedReviews":20,"score":6773,"self_host":257,"seo":6774,"slug":6775,"sources":6776,"stem":6785,"suitable":20,"tagline":6786,"tags":6787,"updated":731,"verdict":6791,"website":6707,"__hash__":6792},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[6109,6112,6115],{"name":6110,"url":6111},"langflow","\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",{"name":6113,"url":6114},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":6116,"url":6117},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"type":22,"value":6119,"toc":6733},[6120,6122,6129,6132,6134,6208,6210,6227,6231,6235,6261,6265,6291,6293,6416,6419,6425,6427,6591,6593,6651,6653,6679,6681,6698,6700,6730],[25,6121,28],{"id":27},[30,6123,6124,6125,6128],{},"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（",[208,6126,6127],{},"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。",[30,6130,6131],{},"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）。",[25,6133,38],{"id":38},[40,6135,6136,6144,6150,6156,6162,6168,6174,6179,6184,6190,6196,6202],{},[43,6137,6138,4917,6141,6143],{},[46,6139,6140],{},"多 agent orchestration",[208,6142,6127],{}," 编排多个专门 agent 协作",[43,6145,6146,6149],{},[46,6147,6148],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[43,6151,6152,6155],{},[46,6153,6154],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[43,6157,6158,6161],{},[46,6159,6160],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[43,6163,6164,6167],{},[46,6165,6166],{},"OpenManus-RL","：强化学习微调分支",[43,6169,6170,6173],{},[46,6171,6172],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[43,6175,6176,6178],{},[46,6177,813],{},"：文本 + 视觉输入 + 浏览器截图回环",[43,6180,6181,6183],{},[46,6182,2234],{},"：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[43,6185,6186,6189],{},[46,6187,6188],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[43,6191,6192,6195],{},[46,6193,6194],{},"Web UI 监控","：实时看 AI thinking process",[43,6197,6198,6201],{},[46,6199,6200],{},"任务可视化","：步骤拆解 + 执行树",[43,6203,6204,6207],{},[46,6205,6206],{},"MIT 协议","：个人 + 商用全免费",[25,6209,112],{"id":112},[40,6211,6212,6218,6221,6224],{},[43,6213,6214,6217],{},[46,6215,6216],{},"Free \u002F OSS","：$0；MIT 协议",[43,6219,6220],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[43,6222,6223],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[43,6225,6226],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[25,6228,6230],{"id":6229},"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）",[30,6232,6233],{},[46,6234,147],{},[40,6236,6237,6240,6243,6246,6249,6252,6255,6258],{},[43,6238,6239],{},"52k stars 印证社区认同度 + 活跃度",[43,6241,6242],{},"MetaGPT 团队背景保证架构质量",[43,6244,6245],{},"多 agent 协作场景比单 agent 实现稳得多",[43,6247,6248],{},"Playwright 浏览器自动化非常完整",[43,6250,6251],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[43,6253,6254],{},"DataAnalysis 内置 agent 模式开箱即用",[43,6256,6257],{},"中文支持自然（Qwen VL Plus 接入）",[43,6259,6260],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[30,6262,6263],{},[46,6264,172],{},[40,6266,6267,6270,6273,6276,6279,6282,6285,6288],{},[43,6268,6269],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[43,6271,6272],{},"文档滞后新功能 1-2 个月",[43,6274,6275],{},"无官方 GUI，监控 UI 在做但不完整",[43,6277,6278],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[43,6280,6281],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[43,6283,6284],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[43,6286,6287],{},"中文 prompt 效果依赖底层模型",[43,6289,6290],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[25,6292,940],{"id":940},[201,6294,6296],{"className":203,"code":6295,"language":205,"meta":206,"style":206},"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",[208,6297,6298,6307,6314,6339,6349,6359,6363,6368,6379,6384,6388,6393,6400,6404,6409],{"__ignoreMap":206},[211,6299,6300,6302,6304],{"class":213,"line":214},[211,6301,218],{"class":217},[211,6303,222],{"class":221},[211,6305,6306],{"class":221}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[211,6308,6309,6311],{"class":213,"line":228},[211,6310,232],{"class":231},[211,6312,6313],{"class":221}," OpenManus\n",[211,6315,6316,6319,6322,6325,6328,6330,6333,6336],{"class":213,"line":254},[211,6317,6318],{"class":217},"python3.12",[211,6320,6321],{"class":231}," -m",[211,6323,6324],{"class":221}," venv",[211,6326,6327],{"class":221}," .venv",[211,6329,239],{"class":238},[211,6331,6332],{"class":231},"source",[211,6334,6335],{"class":221}," .venv\u002Fbin\u002Factivate",[211,6337,6338],{"class":264},"  # 或 .venv\\Scripts\\activate\n",[211,6340,6341,6343,6345,6347],{"class":213,"line":261},[211,6342,242],{"class":217},[211,6344,245],{"class":221},[211,6346,248],{"class":231},[211,6348,251],{"class":221},[211,6350,6351,6354,6356],{"class":213,"line":268},[211,6352,6353],{"class":217},"playwright",[211,6355,245],{"class":221},[211,6357,6358],{"class":221}," chromium\n",[211,6360,6361],{"class":213,"line":280},[211,6362,258],{"emptyLinePlaceholder":257},[211,6364,6365],{"class":213,"line":5},[211,6366,6367],{"class":264},"# 配 LLM API\n",[211,6369,6370,6373,6376],{"class":213,"line":290},[211,6371,6372],{"class":217},"cp",[211,6374,6375],{"class":221}," config\u002Fconfig.example.toml",[211,6377,6378],{"class":221}," config\u002Fconfig.toml\n",[211,6380,6381],{"class":213,"line":324},[211,6382,6383],{"class":264},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[211,6385,6386],{"class":213,"line":329},[211,6387,258],{"emptyLinePlaceholder":257},[211,6389,6390],{"class":213,"line":335},[211,6391,6392],{"class":264},"# 单 agent 模式\n",[211,6394,6395,6397],{"class":213,"line":347},[211,6396,338],{"class":217},[211,6398,6399],{"class":221}," main.py\n",[211,6401,6402],{"class":213,"line":358},[211,6403,258],{"emptyLinePlaceholder":257},[211,6405,6406],{"class":213,"line":1680},[211,6407,6408],{"class":264},"# 多 agent 模式\n",[211,6410,6411,6413],{"class":213,"line":1686},[211,6412,338],{"class":217},[211,6414,6415],{"class":221}," run_flow.py\n",[30,6417,6418],{},"试任务示例：",[201,6420,6423],{"className":6421,"code":6422,"language":4958},[4956],"> 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",[208,6424,6422],{"__ignoreMap":206},[25,6426,367],{"id":367},[369,6428,6429,6446],{},[372,6430,6431],{},[375,6432,6433,6435,6437,6440,6443],{},[378,6434,380],{},[378,6436,6107],{},[378,6438,6439],{},"LangChain",[378,6441,6442],{},"AutoGPT",[378,6444,6445],{},"CrewAI",[393,6447,6448,6464,6478,6490,6505,6518,6532,6545,6562,6575],{},[375,6449,6450,6452,6455,6458,6461],{},[398,6451,2545],{},[398,6453,6454],{},"现成 agent 实现",[398,6456,6457],{},"building blocks",[398,6459,6460],{},"早期通用 agent",[398,6462,6463],{},"多 agent 框架",[375,6465,6466,6469,6472,6474,6476],{},[398,6467,6468],{},"浏览器自动化",[398,6470,6471],{},"✅ Playwright",[398,6473,440],{},[398,6475,443],{},[398,6477,440],{},[375,6479,6480,6482,6484,6486,6488],{},[398,6481,1861],{},[398,6483,1104],{},[398,6485,443],{},[398,6487,440],{},[398,6489,440],{},[375,6491,6492,6495,6498,6501,6503],{},[398,6493,6494],{},"多 agent",[398,6496,6497],{},"✅ orchestration",[398,6499,6500],{},"需自搭",[398,6502,429],{},[398,6504,1074],{},[375,6506,6507,6510,6512,6514,6516],{},[398,6508,6509],{},"DataAnalysis 内置",[398,6511,1104],{},[398,6513,440],{},[398,6515,440],{},[398,6517,440],{},[375,6519,6520,6523,6526,6528,6530],{},[398,6521,6522],{},"RL 微调",[398,6524,6525],{},"✅ OpenManus-RL",[398,6527,440],{},[398,6529,440],{},[398,6531,440],{},[375,6533,6534,6536,6539,6541,6543],{},[398,6535,1902],{},[398,6537,6538],{},"MIT",[398,6540,6538],{},[398,6542,6538],{},[398,6544,6538],{},[375,6546,6547,6550,6553,6556,6559],{},[398,6548,6549],{},"Stars",[398,6551,6552],{},"52k+",[398,6554,6555],{},"100k+",[398,6557,6558],{},"170k+",[398,6560,6561],{},"30k+",[375,6563,6564,6566,6568,6571,6573],{},[398,6565,940],{},[398,6567,4301],{},[398,6569,6570],{},"难",[398,6572,4301],{},[398,6574,4301],{},[375,6576,6577,6579,6582,6585,6588],{},[398,6578,509],{},[398,6580,6581],{},"自托管 Manus 复刻",[398,6583,6584],{},"底层 framework",[398,6586,6587],{},"学习经典",[398,6589,6590],{},"多 agent 协作",[25,6592,524],{"id":524},[40,6594,6595,6601,6611,6617,6623,6629,6635,6641,6645],{},[43,6596,6597,6600],{},[46,6598,6599],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[43,6602,6603,6606,6607,6610],{},[46,6604,6605],{},"Playwright 依赖大","：首次 ",[208,6608,6609],{},"playwright install"," 下 chromium 慢，国内走镜像",[43,6612,6613,6616],{},[46,6614,6615],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[43,6618,6619,6622],{},[46,6620,6621],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[43,6624,6625,6628],{},[46,6626,6627],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[43,6630,6631,6634],{},[46,6632,6633],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[43,6636,6637,6640],{},[46,6638,6639],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[43,6642,6643,3301],{},[46,6644,3300],{},[43,6646,6647,6650],{},[46,6648,6649],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[25,6652,578],{"id":577},[40,6654,6655,6658,6661,6664,6667,6670,6673,6676],{},[43,6656,6657],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[43,6659,6660],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[43,6662,6663],{},"✅ 隐私敏感 + 不愿数据上商业云",[43,6665,6666],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[43,6668,6669],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[43,6671,6672],{},"❌ 要 GUI \u002F 上手即用",[43,6674,6675],{},"❌ 生产级稳定（文档滞后 + 演进快）",[43,6677,6678],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[25,6680,607],{"id":607},[40,6682,6683,6688,6693],{},[43,6684,6685],{},[613,6686,6687],{"href":6111},"Langflow 评测",[43,6689,6690],{},[613,6691,6692],{"href":6114},"n8n 评测",[43,6694,6695],{},[613,6696,6697],{"href":6117},"Composio 评测",[25,6699,628],{"id":628},[630,6701,6702,6709,6716,6723],{},[43,6703,6704,6705],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[613,6706,6707],{"href":6707,"rel":6708},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[639],[43,6710,6711,6712],{},"Foundation Agents — OpenManus 项目介绍 ",[613,6713,6714],{"href":6714,"rel":6715},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[639],[43,6717,6718,6719],{},"Toolsverse — OpenManus 评测 + 52k stars ",[613,6720,6721],{"href":6721,"rel":6722},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[639],[43,6724,6725,6726],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[613,6727,6728],{"href":6728,"rel":6729},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[639],[662,6731,6732],{},"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":206,"searchDepth":254,"depth":254,"links":6734},[6735,6736,6737,6738,6739,6740,6741,6742,6743,6744],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":6229,"depth":228,"text":6230},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[6748,6751,6754,6757],{"q":6749,"a":6750},"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":6752,"a":6753},"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":6755,"a":6756},"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":6758,"a":6759},"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。",[697,696,1348],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[1353,1351,1352,2374],[6765],{"plan":6216,"price":707,"features":6766,"notes":6767},"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）",[6770],{"name":6771,"url":6772},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":268,"ux":254,"price":268,"cn_support":261,"stability":254},{"title":6107,"description":6746},"agent\u002Fgeneral\u002Fopenmanus",[6777,6779,6781,6783],{"name":6778,"url":6707,"accessed":731},"OpenManus GitHub（FoundationAgents 组织）",{"name":6780,"url":6714,"accessed":731},"Foundation Agents — OpenManus 项目介绍",{"name":6782,"url":6721,"accessed":731},"Toolsverse — OpenManus 评测 + 52k stars",{"name":6784,"url":6728,"accessed":731},"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",[744,2885,6788,1397,6789,6790],"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。","qUdn6uczDc3zzGsEiWZZQpmMYb9C0V4SkeLUu6ASxgs",{"id":6794,"title":6795,"alternatives":6796,"api_compatible":6799,"body":6800,"category":7596,"chinese_friendly":268,"cover":7597,"description":7598,"domestic":680,"extension":681,"faq":20,"free":680,"github":20,"languages":7599,"meta":7600,"models":7601,"navigation":257,"notSuitable":7606,"opensource":680,"path":7610,"pillar":700,"platforms":7611,"priceTable":7612,"pricing":7632,"published":5484,"relatedPlaybooks":20,"relatedReviews":20,"score":7633,"self_host":680,"seo":7634,"slug":7635,"sources":7636,"stem":7647,"suitable":7648,"tagline":7654,"tags":7655,"updated":731,"verdict":7662,"website":6817,"__hash__":7663},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md","Coze",[4555,6797,6798],"agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fyuanqi",[],{"type":22,"value":6801,"toc":7580},[6802,6804,6840,6845,6847,6851,6854,6868,6877,6927,6936,6940,6943,6975,6983,6987,6990,7010,7014,7093,7102,7104,7107,7127,7136,7140,7175,7178,7180,7319,7335,7366,7368,7440,7442,7444,7461,7463,7493,7495,7546,7548,7575],[25,6803,28],{"id":27},[4562,6805,6807,6827],{"className":6806},[4565,4566,4567],[30,6808,6809,6811,6812,6826],{},[46,6810,4572],{}," 字节跳动出品的低代码 Agent 平台，",[46,6813,6814,6815,6820,6821],{},"国内版 ",[613,6816,6819],{"href":6817,"rel":6818},"https:\u002F\u002Fwww.coze.cn",[639],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[613,6822,6825],{"href":6823,"rel":6824},"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。",[30,6828,6829,6830,6833,6834,6839],{},"最大价值是 ",[46,6831,6832],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[613,6835,6838],{"href":6836,"rel":6837},"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\"。",[134,6841,6842],{},[30,6843,6844],{},"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。",[25,6846,4672],{"id":4672},[4674,6848,6850],{"id":6849},"可视化工作流最大卖点","可视化工作流（最大卖点）",[30,6852,6853],{},"Coze 把 Agent 拆成两层：",[40,6855,6856,6862],{},[43,6857,6858,6861],{},[46,6859,6860],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[43,6863,6864,6867],{},[46,6865,6866],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[30,6869,6870,6871,6876],{},"工作流节点类型（基于 ",[613,6872,6875],{"href":6873,"rel":6874},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[639],"火山引擎社区 2025 实战","）：",[40,6878,6879,6885,6891,6897,6903,6909,6915,6921],{},[43,6880,6881,6884],{},[46,6882,6883],{},"开始 \u002F 结束节点","：输入输出",[43,6886,6887,6890],{},[46,6888,6889],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[43,6892,6893,6896],{},[46,6894,6895],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[43,6898,6899,6902],{},[46,6900,6901],{},"循环节点","：批量处理多条数据",[43,6904,6905,6908],{},[46,6906,6907],{},"条件节点","：分支判断",[43,6910,6911,6914],{},[46,6912,6913],{},"插件节点","：调 Coze 插件市场的工具",[43,6916,6917,6920],{},[46,6918,6919],{},"知识库节点","：RAG 检索",[43,6922,6923,6926],{},[46,6924,6925],{},"HTTP 节点","：调外部 API",[30,6928,6929,6930,6935],{},"典型用例（参考 ",[613,6931,6934],{"href":6932,"rel":6933},"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。",[4674,6937,6939],{"id":6938},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[30,6941,6942],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[40,6944,6945,6951,6957,6963,6969],{},[43,6946,6947,6950],{},[46,6948,6949],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[43,6952,6953,6956],{},[46,6954,6955],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[43,6958,6959,6962],{},[46,6960,6961],{},"联网搜索","：实时网页检索",[43,6964,6965,6968],{},[46,6966,6967],{},"代码执行","：在线运行 Python",[43,6970,6971,6974],{},[46,6972,6973],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[30,6976,6977,6982],{},[613,6978,6981],{"href":6979,"rel":6980},"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。",[4674,6984,6986],{"id":6985},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[30,6988,6989],{},"发布渠道：",[40,6991,6992,6995,6998,7001,7004,7007],{},[43,6993,6994],{},"飞书机器人（一键绑）",[43,6996,6997],{},"抖音 \u002F 头条号",[43,6999,7000],{},"微信小程序 \u002F 公众号（部分需企业认证）",[43,7002,7003],{},"自定义网页嵌入",[43,7005,7006],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[43,7008,7009],{},"Discord（国际版）",[4674,7011,7013],{"id":7012},"国内版-vs-国际版","国内版 vs 国际版",[369,7015,7016,7028],{},[372,7017,7018],{},[375,7019,7020,7022,7025],{},[378,7021,380],{},[378,7023,7024],{},"扣子（coze.cn）",[378,7026,7027],{},"Coze（coze.com）",[393,7029,7030,7041,7050,7060,7071,7082],{},[375,7031,7032,7035,7038],{},[398,7033,7034],{},"主力模型",[398,7036,7037],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[398,7039,7040],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[375,7042,7043,7046,7048],{},[398,7044,7045],{},"飞书 \u002F 抖音 \u002F 微信集成",[398,7047,476],{},[398,7049,429],{},[375,7051,7052,7055,7058],{},[398,7053,7054],{},"Discord \u002F Slack 集成",[398,7056,7057],{},"⚠️ 有限",[398,7059,476],{},[375,7061,7062,7065,7068],{},[398,7063,7064],{},"数据存储位置",[398,7066,7067],{},"国内",[398,7069,7070],{},"海外",[375,7072,7073,7076,7079],{},[398,7074,7075],{},"支付",[398,7077,7078],{},"微信 \u002F 支付宝",[398,7080,7081],{},"海外信用卡",[375,7083,7084,7087,7090],{},[398,7085,7086],{},"内容合规",[398,7088,7089],{},"严格审核",[398,7091,7092],{},"宽松",[30,7094,7095,7098,7099,4598],{},[46,7096,7097],{},"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 ",[46,7100,7101],{},"不互通",[25,7103,4843],{"id":4843},[30,7105,7106],{},"国内版（扣子）：",[40,7108,7109,7115,7121],{},[43,7110,7111,7114],{},[46,7112,7113],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[43,7116,7117,7120],{},[46,7118,7119],{},"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",[43,7122,7123,7126],{},[46,7124,7125],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[30,7128,7129,7130,7135],{},"国际版（coze.com）的定价模式据 ",[613,7131,7134],{"href":7132,"rel":7133},"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。",[25,7137,7139],{"id":7138},"上手-10-分钟","上手 10 分钟",[630,7141,7142,7154,7157,7160,7163,7166,7169,7172],{},[43,7143,4937,7144,7148,7149,7153],{},[613,7145,7147],{"href":6817,"rel":7146},[639],"www.coze.cn","（国内）或 ",[613,7150,7152],{"href":6823,"rel":7151},[639],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[43,7155,7156],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[43,7158,7159],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[43,7161,7162],{},"写 Bot 角色 prompt",[43,7164,7165],{},"可选：上传 PDF \u002F 文档建知识库",[43,7167,7168],{},"测试一下对话效果",[43,7170,7171],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[43,7173,7174],{},"拿到调用 URL \u002F 飞书机器人 webhook",[30,7176,7177],{},"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。",[25,7179,5020],{"id":5020},[369,7181,7182,7208],{},[372,7183,7184],{},[375,7185,7186,7188,7190,7196,7202],{},[378,7187,380],{},[378,7189,6795],{},[378,7191,7192],{},[613,7193,7195],{"href":7194},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify",[378,7197,7198],{},[613,7199,7201],{"href":7200},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[378,7203,7204],{},[613,7205,7207],{"href":7206},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[393,7209,7210,7222,7236,7252,7265,7278,7292,7306],{},[375,7211,7212,7214,7216,7218,7220],{},[398,7213,417],{},[398,7215,429],{},[398,7217,1104],{},[398,7219,1104],{},[398,7221,429],{},[375,7223,7224,7227,7230,7232,7234],{},[398,7225,7226],{},"私有部署",[398,7228,7229],{},"⚠️ 仅企业版",[398,7231,1104],{},[398,7233,1104],{},[398,7235,5147],{},[375,7237,7238,7241,7244,7247,7249],{},[398,7239,7240],{},"上手难度",[398,7242,7243],{},"★ 最简单",[398,7245,7246],{},"★★★",[398,7248,7246],{},[398,7250,7251],{},"★★",[375,7253,7254,7257,7259,7261,7263],{},[398,7255,7256],{},"工作流编排",[398,7258,5103],{},[398,7260,5097],{},[398,7262,5100],{},[398,7264,5100],{},[375,7266,7267,7270,7272,7274,7276],{},[398,7268,7269],{},"RAG 精度",[398,7271,5100],{},[398,7273,5103],{},[398,7275,5097],{},[398,7277,5100],{},[375,7279,7280,7283,7285,7287,7289],{},[398,7281,7282],{},"字节生态",[398,7284,5097],{},[398,7286,429],{},[398,7288,429],{},[398,7290,7291],{},"❌（腾讯系）",[375,7293,7294,7297,7300,7302,7304],{},[398,7295,7296],{},"插件市场",[398,7298,7299],{},"★★★★★ 200+",[398,7301,5100],{},[398,7303,5100],{},[398,7305,5100],{},[375,7307,7308,7311,7313,7315,7317],{},[398,7309,7310],{},"中文社区",[398,7312,5097],{},[398,7314,5103],{},[398,7316,5103],{},[398,7318,5103],{},[30,7320,7321,7324,7325,7330,7331,6876],{},[46,7322,7323],{},"怎么选","（综合 ",[613,7326,7329],{"href":7327,"rel":7328},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[639],"BestHub 2025-07"," 和 ",[613,7332,7334],{"href":6836,"rel":7333},[639],"博客园 2026-01",[40,7336,7337,7343,7351,7358],{},[43,7338,7339,7342],{},[46,7340,7341],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[43,7344,7345,7348,7349],{},[46,7346,7347],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[613,7350,7195],{"href":7194},[43,7352,7353,7348,7356],{},[46,7354,7355],{},"核心场景就是企业知识库 QA",[613,7357,7201],{"href":7200},[43,7359,7360,7348,7363],{},[46,7361,7362],{},"QQ \u002F 微信生态 + 腾讯系",[613,7364,7365],{"href":7206},"元器",[25,7367,5241],{"id":5241},[40,7369,7370,7380,7386,7401,7411,7417,7428,7434],{},[43,7371,7372,7375,7376,7379],{},[46,7373,7374],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[46,7377,7378],{},"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",[43,7381,7382,7385],{},[46,7383,7384],{},"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",[43,7387,7388,7391,7392,7395,7396,7400],{},[46,7389,7390],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[208,7393,7394],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[613,7397,7399],{"href":6873,"rel":7398},[639],"火山引擎 2025 教程","）",[43,7402,7403,7406,7407,7410],{},[46,7404,7405],{},"工作流读取飞书表格默认 20 条","：要改 ",[208,7408,7409],{},"page_size","，最大 500 条；超过 500 要分页或循环",[43,7412,7413,7416],{},[46,7414,7415],{},"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",[43,7418,7419,7422,7423,4815,7425,7427],{},[46,7420,7421],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[613,7424,7195],{"href":7194},[613,7426,7201],{"href":7200}," 自托管",[43,7429,7430,7433],{},[46,7431,7432],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[43,7435,7436,7439],{},[46,7437,7438],{},"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",[25,7441,578],{"id":577},[30,7443,5312],{},[40,7445,7446,7449,7452,7455,7458],{},[43,7447,7448],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[43,7450,7451],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[43,7453,7454],{},"个人副业（小红书账号批量内容生成等）",[43,7456,7457],{},"中小企业客服 Bot（3 天上线）",[43,7459,7460],{},"想用豆包 \u002F DeepSeek 国产模型的人",[30,7462,5332],{},[40,7464,7465,7468,7471,7476,7483],{},[43,7466,7467],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[43,7469,7470],{},"复杂业务系统深度集成（自由度不够）",[43,7472,7473,7474,7400],{},"反感字节生态（去 ",[613,7475,7195],{"href":7194},[43,7477,7478,7479,4815,7481,7400],{},"希望开源 \u002F 完全自主可控（去 ",[613,7480,7195],{"href":7194},[613,7482,7201],{"href":7200},[43,7484,7485,7486,4815,7488,7492],{},"海外 toB SaaS 产品后端（",[613,7487,7195],{"href":7194},[613,7489,7491],{"href":7490},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[25,7494,607],{"id":607},[40,7496,7497,7510,7524,7540],{},[43,7498,5360,7499,4815,7501,4815,7503,4815,7505,4815,7507],{},[613,7500,7195],{"href":7194},[613,7502,7201],{"href":7200},[613,7504,7365],{"href":7206},[613,7506,7491],{"href":7490},[613,7508,6113],{"href":7509},"\u002Fagent\u002Fplatform\u002Fn8n.html",[43,7511,5371,7512,4815,7514,4815,7518,4815,7522],{},[613,7513,5375],{"href":5374},[613,7515,7517],{"href":7516},"\u002Fwiki\u002Frag.html","RAG",[613,7519,7521],{"href":7520},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[613,7523,5378],{"href":5374},[43,7525,5382,7526,4815,7530,4815,7534,4815,7536],{},[613,7527,7529],{"href":7528},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[613,7531,7533],{"href":7532},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[613,7535,5394],{"href":5393},[613,7537,7539],{"href":7538},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[43,7541,5397,7542,4815,7544],{},[613,7543,5405],{"href":5404},[613,7545,5401],{"href":5400},[25,7547,628],{"id":628},[40,7549,7550,7556,7562,7569,7572],{},[43,7551,7552,7553],{},"国内版：",[613,7554,6817],{"href":6817,"rel":7555},[639],[43,7557,7558,7559],{},"国际版：",[613,7560,6823],{"href":6823,"rel":7561},[639],[43,7563,7564,7565],{},"官方文档：",[613,7566,7567],{"href":7567,"rel":7568},"https:\u002F\u002Fdocs.coze.com",[639],[43,7570,7571],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[43,7573,7574],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[30,7576,7577,7578,5431],{},"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 ",[613,7579,5430],{"href":5430},{"title":206,"searchDepth":254,"depth":254,"links":7581},[7582,7583,7589,7590,7591,7592,7593,7594,7595],{"id":27,"depth":228,"text":28},{"id":4672,"depth":228,"text":4672,"children":7584},[7585,7586,7587,7588],{"id":6849,"depth":254,"text":6850},{"id":6938,"depth":254,"text":6939},{"id":6985,"depth":254,"text":6986},{"id":7012,"depth":254,"text":7013},{"id":4843,"depth":228,"text":4843},{"id":7138,"depth":228,"text":7139},{"id":5020,"depth":228,"text":5020},{"id":5241,"depth":228,"text":5241},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"text":628},"platform","\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 真实评测：字节出品低代码 Agent 平台，可视化工作流编排、插件市场、Bot 一键发布。国内版（扣子）支持豆包，国际版支持 GPT\u002FClaude。AIHO 编辑部基于官方文档与社区资料整理，含定位、与 Dify\u002FFastGPT 对比、避坑指南。",[696,697],{},[7602,7603,5459,7604,7605],"doubao-pro","deepseek-v3","gpt-4o (国际版)","claude (国际版)",[7607,7608,7609],"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],[7613,7618,7623,7627],{"plan":7614,"price":7615,"limit":7616,"cn_pay":5086,"note":7617},"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":7119,"price":7619,"limit":7620,"cn_pay":7621,"note":7622},"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":7125,"price":7624,"limit":7625,"cn_pay":1104,"note":7626},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":7628,"price":7629,"cn_pay":7630,"note":7631,"limit":5086},"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",{"power":261,"ux":268,"price":261,"cn_support":268,"stability":261},{"title":6795,"description":7598},"agent\u002Fplatform\u002Fcoze",[7637,7639,7641,7643,7645],{"title":7638,"url":6817},"Coze 国内版（扣子）",{"title":7640,"url":6823},"Coze 国际版",{"title":7642,"url":7567},"Coze 官方文档",{"title":7644,"url":6836},"Coze vs Dify vs FastGPT 选型 2026",{"title":7646,"url":7327},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[7649,7650,7651,7652,7653],"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",[7656,7657,7658,7659,7660,7661],"agent-platform","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。","KWtbqzHU1_VGE_xOR2zlayUtxLlYNrVBcFee1O5XH3E",{"id":7665,"title":7195,"alternatives":7666,"api_compatible":20,"body":7669,"category":7596,"chinese_friendly":261,"cover":8626,"description":8627,"domestic":680,"extension":681,"faq":20,"free":680,"github":7948,"languages":8628,"meta":8630,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":8631,"pillar":700,"platforms":8632,"priceTable":20,"pricing":8633,"published":5484,"relatedPlaybooks":20,"relatedReviews":20,"score":8634,"self_host":257,"seo":8635,"slug":4555,"sources":8636,"stem":8648,"suitable":20,"tagline":8649,"tags":8650,"updated":731,"verdict":8653,"website":8572,"__hash__":8654},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[7635,6797,7667,7668],"agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",{"type":22,"value":7670,"toc":8604},[7671,7673,7691,7696,7698,7702,7705,7773,7776,7780,7783,7797,7813,7817,7820,7831,7834,7842,7853,7857,7860,7862,7866,7875,7933,7940,7944,7952,8001,8004,8024,8028,8031,8090,8096,8098,8182,8184,8213,8215,8342,8354,8389,8391,8463,8465,8467,8487,8489,8518,8520,8564,8566,8596,8601],[25,7672,28],{"id":27},[4562,7674,7676,7681],{"className":7675},[4565,4566,4567],[30,7677,7678,7680],{},[46,7679,4572],{}," 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。",[30,7682,6829,7683,7686,7687,7690],{},[46,7684,7685],{},"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 ",[613,7688,6795],{"href":7689},"\u002Fagent\u002Fplatform\u002Fcoze.html"," 折腾，新手得读 1-2 小时文档。",[134,7692,7693],{},[30,7694,7695],{},"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。",[25,7697,4672],{"id":4672},[4674,7699,7701],{"id":7700},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[30,7703,7704],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[369,7706,7707,7719],{},[372,7708,7709],{},[375,7710,7711,7714,7716],{},[378,7712,7713],{},"类型",[378,7715,5176],{},[378,7717,7718],{},"编排范式",[393,7720,7721,7734,7747,7760],{},[375,7722,7723,7728,7731],{},[398,7724,7725],{},[46,7726,7727],{},"Chatbot",[398,7729,7730],{},"简单对话机器人",[398,7732,7733],{},"prompt + tools",[375,7735,7736,7741,7744],{},[398,7737,7738],{},[46,7739,7740],{},"Agent",[398,7742,7743],{},"自主多步任务",[398,7745,7746],{},"ReAct \u002F Function Calling",[375,7748,7749,7754,7757],{},[398,7750,7751],{},[46,7752,7753],{},"Chatflow",[398,7755,7756],{},"对话型工作流（多轮 + 分支）",[398,7758,7759],{},"节点 DAG，带聊天上下文",[375,7761,7762,7767,7770],{},[398,7763,7764],{},[46,7765,7766],{},"Workflow",[398,7768,7769],{},"单次输入→输出（API 模式）",[398,7771,7772],{},"节点 DAG，无对话状态",[30,7774,7775],{},"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\"。",[4674,7777,7779],{"id":7778},"rag-知识库","RAG 知识库",[30,7781,7782],{},"内置完整 RAG 链路：",[630,7784,7785,7788,7791,7794],{},[43,7786,7787],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[43,7789,7790],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[43,7792,7793],{},"混合检索（向量 + 全文 + 重排）",[43,7795,7796],{},"引用溯源（回答末尾自动附原文片段）",[30,7798,7799,7800,7805,7806,7809,7810,7812],{},"注意：根据 ",[613,7801,7804],{"href":7802,"rel":7803},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[639],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[46,7807,7808],{},"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 ",[613,7811,7201],{"href":7200},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[4674,7814,7816],{"id":7815},"模型生态40-提供商","模型生态：40+ 提供商",[30,7818,7819],{},"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。",[30,7821,7822,7823,7825,7826,7830],{},"国产模型原生支持（不像 ",[613,7824,7201],{"href":7200}," 需要 ",[613,7827,7829],{"href":7828},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[4674,7832,6154],{"id":7833},"mcp-协议支持",[30,7835,7836,7837,7841],{},"Dify 较早接入了 ",[613,7838,7840],{"href":7839},"\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：",[40,7843,7844,7847,7850],{},[43,7845,7846],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[43,7848,7849],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[43,7851,7852],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[4674,7854,7856],{"id":7855},"api-first","API-first",[30,7858,7859],{},"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。",[25,7861,4843],{"id":4843},[4674,7863,7865],{"id":7864},"云版difyai","云版（dify.ai）",[30,7867,7868,7869,7874],{},"根据 ",[613,7870,7873],{"href":7871,"rel":7872},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[639],"tooljunction.io 2026 评测"," 引用的官方定价：",[369,7876,7877,7889],{},[372,7878,7879],{},[375,7880,7881,7884,7886],{},[378,7882,7883],{},"套餐",[378,7885,112],{},[378,7887,7888],{},"主要限制",[393,7890,7891,7902,7913,7923],{},[375,7892,7893,7896,7899],{},[398,7894,7895],{},"Sandbox",[398,7897,7898],{},"免费",[398,7900,7901],{},"200 次模型调用，1 app，5MB 知识库",[375,7903,7904,7907,7910],{},[398,7905,7906],{},"Professional",[398,7908,7909],{},"$59\u002F月起",[398,7911,7912],{},"5000 调用\u002F月，多 app，50MB 知识库",[375,7914,7915,7917,7920],{},[398,7916,871],{},[398,7918,7919],{},"$159\u002F月起",[398,7921,7922],{},"团队协作、SSO",[375,7924,7925,7927,7930],{},[398,7926,837],{},[398,7928,7929],{},"联系销售",[398,7931,7932],{},"定制 SLA、私有云",[30,7934,7935,7936,7939],{},"注意：云版价格只是 Dify 平台费，",[46,7937,7938],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[4674,7941,7943],{"id":7942},"自托管推荐","自托管（推荐）",[30,7945,7946,7951],{},[613,7947,7950],{"href":7948,"rel":7949},"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：",[201,7953,7955],{"className":203,"code":7954,"language":205,"meta":206,"style":206},"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",[208,7956,7957,7966,7973,7983,7996],{"__ignoreMap":206},[211,7958,7959,7961,7963],{"class":213,"line":214},[211,7960,218],{"class":217},[211,7962,222],{"class":221},[211,7964,7965],{"class":221}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[211,7967,7968,7970],{"class":213,"line":228},[211,7969,232],{"class":231},[211,7971,7972],{"class":221}," dify\u002Fdocker\n",[211,7974,7975,7977,7980],{"class":213,"line":254},[211,7976,6372],{"class":217},[211,7978,7979],{"class":221}," .env.example",[211,7981,7982],{"class":221}," .env\n",[211,7984,7985,7987,7990,7993],{"class":213,"line":261},[211,7986,2374],{"class":217},[211,7988,7989],{"class":221}," compose",[211,7991,7992],{"class":221}," up",[211,7994,7995],{"class":231}," -d\n",[211,7997,7998],{"class":213,"line":268},[211,7999,8000],{"class":264},"# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[30,8002,8003],{},"硬件门槛（社区共识，非官方硬性要求）：",[40,8005,8006,8012,8018],{},[43,8007,8008,8011],{},[46,8009,8010],{},"最低","：2 核 4G，纯外接 API 模式",[43,8013,8014,8017],{},[46,8015,8016],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[43,8019,8020,8023],{},[46,8021,8022],{},"企业","：8 核 16G+，单机日活上千",[4674,8025,8027],{"id":8026},"真实-tco","真实 TCO",[30,8029,8030],{},"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）：",[369,8032,8033,8046],{},[372,8034,8035],{},[375,8036,8037,8040,8043],{},[378,8038,8039],{},"成本项",[378,8041,8042],{},"云版 Professional",[378,8044,8045],{},"自托管",[393,8047,8048,8058,8068,8079],{},[375,8049,8050,8053,8056],{},[398,8051,8052],{},"平台费",[398,8054,8055],{},"~$2,100（3 年）",[398,8057,707],{},[375,8059,8060,8063,8065],{},[398,8061,8062],{},"服务器",[398,8064,707],{},[398,8066,8067],{},"~$50\u002F月 × 36 = $1,800",[375,8069,8070,8073,8076],{},[398,8071,8072],{},"模型 API",[398,8074,8075],{},"与下同",[398,8077,8078],{},"与上同",[375,8080,8081,8084,8087],{},[398,8082,8083],{},"运维人力",[398,8085,8086],{},"0",[398,8088,8089],{},"约 0.2 人月",[30,8091,8092,8095],{},[46,8093,8094],{},"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。",[25,8097,7139],{"id":7138},[201,8099,8101],{"className":203,"code":8100,"language":205,"meta":206,"style":206},"# 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",[208,8102,8103,8108,8116,8122,8130,8140,8144,8149,8154,8158,8163,8167,8172,8177],{"__ignoreMap":206},[211,8104,8105],{"class":213,"line":214},[211,8106,8107],{"class":264},"# 1. 自托管（社区版）\n",[211,8109,8110,8112,8114],{"class":213,"line":228},[211,8111,218],{"class":217},[211,8113,222],{"class":221},[211,8115,7965],{"class":221},[211,8117,8118,8120],{"class":213,"line":254},[211,8119,232],{"class":231},[211,8121,7972],{"class":221},[211,8123,8124,8126,8128],{"class":213,"line":261},[211,8125,6372],{"class":217},[211,8127,7979],{"class":221},[211,8129,7982],{"class":221},[211,8131,8132,8134,8136,8138],{"class":213,"line":268},[211,8133,2374],{"class":217},[211,8135,7989],{"class":221},[211,8137,7992],{"class":221},[211,8139,7995],{"class":231},[211,8141,8142],{"class":213,"line":280},[211,8143,258],{"emptyLinePlaceholder":257},[211,8145,8146],{"class":213,"line":5},[211,8147,8148],{"class":264},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[211,8150,8151],{"class":213,"line":290},[211,8152,8153],{"class":264},"#    首次会让你创建 admin 账号\n",[211,8155,8156],{"class":213,"line":324},[211,8157,258],{"emptyLinePlaceholder":257},[211,8159,8160],{"class":213,"line":329},[211,8161,8162],{"class":264},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[211,8164,8165],{"class":213,"line":335},[211,8166,258],{"emptyLinePlaceholder":257},[211,8168,8169],{"class":213,"line":347},[211,8170,8171],{"class":264},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[211,8173,8174],{"class":213,"line":358},[211,8175,8176],{"class":264},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[211,8178,8179],{"class":213,"line":1680},[211,8180,8181],{"class":264},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[25,8183,4978],{"id":4978},[630,8185,8186,8192,8198,8204],{},[43,8187,8188,8191],{},[46,8189,8190],{},"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",[43,8193,8194,8197],{},[46,8195,8196],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[43,8199,8200,8203],{},[46,8201,8202],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[43,8205,8206,8209,8210,8212],{},[46,8207,8208],{},"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 ",[613,8211,6795],{"href":7689}," 迁到 Dify",[25,8214,5020],{"id":5020},[369,8216,8217,8237],{},[372,8218,8219],{},[375,8220,8221,8223,8225,8229,8233],{},[378,8222,380],{},[378,8224,7195],{},[378,8226,8227],{},[613,8228,6795],{"href":7689},[378,8230,8231],{},[613,8232,7201],{"href":7200},[378,8234,8235],{},[613,8236,6113],{"href":7509},[393,8238,8239,8252,8264,8277,8289,8302,8316,8328],{},[375,8240,8241,8243,8245,8247,8249],{},[398,8242,417],{},[398,8244,1104],{},[398,8246,429],{},[398,8248,1104],{},[398,8250,8251],{},"✅（fair-code）",[375,8253,8254,8256,8258,8260,8262],{},[398,8255,7226],{},[398,8257,1104],{},[398,8259,429],{},[398,8261,1104],{},[398,8263,1104],{},[375,8265,8266,8268,8270,8273,8275],{},[398,8267,7240],{},[398,8269,5100],{},[398,8271,8272],{},"★★☆☆☆ 最简单",[398,8274,5100],{},[398,8276,5103],{},[375,8278,8279,8281,8283,8285,8287],{},[398,8280,7256],{},[398,8282,5097],{},[398,8284,5103],{},[398,8286,5100],{},[398,8288,5097],{},[375,8290,8291,8293,8295,8297,8299],{},[398,8292,7269],{},[398,8294,5103],{},[398,8296,5100],{},[398,8298,5097],{},[398,8300,8301],{},"★★☆☆☆",[375,8303,8304,8307,8309,8311,8314],{},[398,8305,8306],{},"模型生态",[398,8308,5097],{},[398,8310,5103],{},[398,8312,8313],{},"★★★☆☆（OneAPI 中转）",[398,8315,5103],{},[375,8317,8318,8320,8322,8324,8326],{},[398,8319,3288],{},[398,8321,5103],{},[398,8323,5097],{},[398,8325,5103],{},[398,8327,5100],{},[375,8329,8330,8333,8335,8338,8340],{},[398,8331,8332],{},"字节生态绑定",[398,8334,429],{},[398,8336,8337],{},"✅（飞书\u002F抖音深度集成）",[398,8339,429],{},[398,8341,429],{},[30,8343,8344,8346,8347,7330,8350,8353],{},[46,8345,7323],{},"（基于 ",[613,8348,7329],{"href":7327,"rel":8349},[639],[613,8351,7334],{"href":6836,"rel":8352},[639]," 两份选型指南综合）：",[40,8355,8356,8362,8369,8375,8382],{},[43,8357,8358,8361],{},[46,8359,8360],{},"数据必须不出内网 + 工作流复杂"," → Dify",[43,8363,8364,7348,8367],{},[46,8365,8366],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[613,8368,6795],{"href":7689},[43,8370,8371,7348,8373],{},[46,8372,7355],{},[613,8374,7201],{"href":7200},[43,8376,8377,7348,8380],{},[46,8378,8379],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[613,8381,6113],{"href":7509},[43,8383,8384,7348,8387],{},[46,8385,8386],{},"要画图式表达 LangChain pipeline",[613,8388,7491],{"href":7490},[25,8390,5241],{"id":5241},[40,8392,8393,8399,8415,8426,8439,8445,8451,8457],{},[43,8394,8395,8398],{},[46,8396,8397],{},"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。",[43,8400,8401,4917,8407,8410,8411,8414],{},[46,8402,8403,8406],{},[208,8404,8405],{},".env"," 文件改完忘 restart",[208,8408,8409],{},"docker compose down && up -d","，不是 ",[208,8412,8413],{},"restart","——后者不重新加载 env。",[43,8416,8417,4917,8420,8425],{},[46,8418,8419],{},"大版本升级会破坏数据库 schema",[613,8421,8424],{"href":8422,"rel":8423},"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。",[43,8427,8428,8431,8432,8434,8435,8438],{},[46,8429,8430],{},"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 ",[208,8433,8405],{}," 的 ",[208,8436,8437],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[43,8440,8441,8444],{},[46,8442,8443],{},"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。",[43,8446,8447,8450],{},[46,8448,8449],{},"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。",[43,8452,8453,8456],{},[46,8454,8455],{},"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。",[43,8458,8459,8462],{},[46,8460,8461],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[25,8464,578],{"id":577},[30,8466,5312],{},[40,8468,8469,8472,8475,8478,8481,8484],{},[43,8470,8471],{},"中大型企业 LLM 中台建设",[43,8473,8474],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[43,8476,8477],{},"想做\"AI 工作流即产品\"的开发团队",[43,8479,8480],{},"同时需要 RAG + Agent + Workflow 三件套",[43,8482,8483],{},"想用国产模型 + 国际模型混合编排",[43,8485,8486],{},"已经接受 Docker + 一定运维投入",[30,8488,5332],{},[40,8490,8491,8497,8503,8506,8512],{},[43,8492,8493,8494,8496],{},"纯个人玩家做对话机器人（",[613,8495,6795],{"href":7689}," 更快）",[43,8498,8499,8500,8502],{},"只想做企业知识库 QA（",[613,8501,7201],{"href":7200}," RAG 更专）",[43,8504,8505],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[43,8507,8508,8509,8511],{},"需要深度对接字节飞书 \u002F 抖音（",[613,8510,6795],{"href":7689}," 原生）",[43,8513,8514,8515,8517],{},"工作流核心是连接 100+ SaaS（",[613,8516,6113],{"href":7509}," 节点更全）",[25,8519,607],{"id":607},[40,8521,8522,8532,8543,8556],{},[43,8523,5360,8524,4815,8526,4815,8528,4815,8530],{},[613,8525,6795],{"href":7689},[613,8527,7201],{"href":7200},[613,8529,6113],{"href":7509},[613,8531,7491],{"href":7490},[43,8533,8534,8535,4815,8537,4815,8539,4815,8541],{},"概念基础：",[613,8536,5375],{"href":5374},[613,8538,7517],{"href":7516},[613,8540,1861],{"href":7839},[613,8542,7521],{"href":7520},[43,8544,8545,8546,4815,8550,4815,8552,4815,8554],{},"模型选型：",[613,8547,8549],{"href":8548},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[613,8551,5386],{"href":5385},[613,8553,7533],{"href":7532},[613,8555,7539],{"href":7538},[43,8557,5397,8558,4815,8562],{},[613,8559,8561],{"href":8560},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[613,8563,5401],{"href":5400},[25,8565,628],{"id":628},[40,8567,8568,8574,8580,8586,8593],{},[43,8569,5412,8570],{},[613,8571,8572],{"href":8572,"rel":8573},"https:\u002F\u002Fdify.ai",[639],[43,8575,8576,8577],{},"中文文档：",[613,8578,8422],{"href":8422,"rel":8579},[639],[43,8581,8582,8583],{},"GitHub：",[613,8584,7948],{"href":7948,"rel":8585},[639],[43,8587,8588,8589],{},"官方定价：",[613,8590,8591],{"href":8591,"rel":8592},"https:\u002F\u002Fdify.ai\u002Fpricing",[639],[43,8594,8595],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[30,8597,8598,8599,5431],{},"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 ",[613,8600,5430],{"href":5430},[662,8602,8603],{},"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":206,"searchDepth":254,"depth":254,"links":8605},[8606,8607,8614,8619,8620,8621,8622,8623,8624,8625],{"id":27,"depth":228,"text":28},{"id":4672,"depth":228,"text":4672,"children":8608},[8609,8610,8611,8612,8613],{"id":7700,"depth":254,"text":7701},{"id":7778,"depth":254,"text":7779},{"id":7815,"depth":254,"text":7816},{"id":7833,"depth":254,"text":6154},{"id":7855,"depth":254,"text":7856},{"id":4843,"depth":228,"text":4843,"children":8615},[8616,8617,8618],{"id":7864,"depth":254,"text":7865},{"id":7942,"depth":254,"text":7943},{"id":8026,"depth":254,"text":8027},{"id":7138,"depth":228,"text":7139},{"id":4978,"depth":228,"text":4978},{"id":5020,"depth":228,"text":5020},{"id":5241,"depth":228,"text":5241},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"text":628},"\u002Fimg\u002Ftools\u002Fdify.webp","Dify 真实评测：开源 LLMOps 平台，工作流编排 + RAG + Agent + MCP 一体，13 万 GitHub star。AIHO 编辑部基于官方文档和社区资料整理，含部署、模型生态、与 Coze \u002F FastGPT 对比、避坑指南。",[696,697,8629],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[1352,1351,1353,2374],"云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费",{"power":268,"ux":261,"price":268,"cn_support":261,"stability":261},{"title":7195,"description":8627},[8637,8639,8641,8643,8645],{"title":8638,"url":8422},"Dify 官方文档（中文）",{"title":8640,"url":7948},"Dify GitHub",{"title":8642,"url":8591},"Dify 官方定价",{"title":8644,"url":7327},"Coze vs Dify vs FastGPT 选型",{"title":8646,"url":8647},"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",[7656,744,2883,8651,7658,8652,1397],"rag","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。","gwf4SBsWvfS9N5avQlKJfUT4wN-g6Is5WTUZgZy3AVo",{"id":8656,"title":7201,"alternatives":8657,"api_compatible":8660,"body":8662,"category":7596,"chinese_friendly":268,"cover":9660,"description":9661,"domestic":680,"extension":681,"faq":20,"free":680,"github":9623,"languages":9662,"meta":9663,"models":9664,"navigation":257,"notSuitable":9667,"opensource":257,"path":9671,"pillar":700,"platforms":9672,"priceTable":9673,"pricing":9694,"published":5484,"relatedPlaybooks":20,"relatedReviews":20,"score":9695,"self_host":257,"seo":9696,"slug":6797,"sources":9697,"stem":9708,"suitable":9709,"tagline":9715,"tags":9716,"updated":731,"verdict":9719,"website":9617,"__hash__":9720},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[4555,7635,8658,8659],"agent\u002Fplatform\u002Fragflow","agent\u002Fplatform\u002Fanythingllm",[8661],"openai",{"type":22,"value":8663,"toc":9642},[8664,8666,8695,8706,8708,8712,8715,8729,8732,8758,8762,8769,8801,8808,8812,8865,8872,8875,8878,8881,8888,8934,8940,8944,8974,8978,9082,9085,9088,9092,9100,9222,9237,9239,9392,9400,9434,9440,9442,9516,9518,9520,9540,9542,9560,9562,9609,9611,9634,9639],[25,8665,28],{"id":27},[4562,8667,8669,8684],{"className":8668},[4565,4566,4567],[30,8670,8671,8673,8674,8679,8680,8683],{},[46,8672,4572],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[613,8675,8678],{"href":8676,"rel":8677},"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。",[46,8681,8682],{},"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。",[30,8685,8686,8687,8690,8691,8694],{},"最大价值在 ",[46,8688,8689],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[46,8692,8693],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[134,8696,8697],{},[30,8698,8699,8700,8705],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[613,8701,8704],{"href":8702,"rel":8703},"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。",[25,8707,4672],{"id":4672},[4674,8709,8711],{"id":8710},"知识库管理核心能力","知识库管理（核心能力）",[30,8713,8714],{},"支持文件类型：",[40,8716,8717,8720,8723,8726],{},[43,8718,8719],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[43,8721,8722],{},"表格：Excel \u002F CSV",[43,8724,8725],{},"网页：URL 抓取 + 定时同步",[43,8727,8728],{},"API：通过接口推送内容",[30,8730,8731],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[40,8733,8734,8740,8746,8752],{},[43,8735,8736,8739],{},[46,8737,8738],{},"文件夹分组","：不同主题 \u002F 部门分类",[43,8741,8742,8745],{},[46,8743,8744],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[43,8747,8748,8751],{},[46,8749,8750],{},"批量导入","：脚本化大批量同步",[43,8753,8754,8757],{},[46,8755,8756],{},"定时同步","：网页源自动更新",[4674,8759,8761],{"id":8760},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[30,8763,8764,8768],{},[613,8765,8767],{"href":8702,"rel":8766},[639],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[630,8770,8771,8777,8783,8789,8795],{},[43,8772,8773,8776],{},[46,8774,8775],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[43,8778,8779,8782],{},[46,8780,8781],{},"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",[43,8784,8785,8788],{},[46,8786,8787],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[43,8790,8791,8794],{},[46,8792,8793],{},"上下文组装","：最优 chunk + 问题 → prompt",[43,8796,8797,8800],{},[46,8798,8799],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[30,8802,8803,8804,8807],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[46,8805,8806],{},"纯知识库 QA 精度","上更高的原因。",[4674,8809,8811],{"id":8810},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[369,8813,8814,8824],{},[372,8815,8816],{},[375,8817,8818,8821],{},[378,8819,8820],{},"模型类别",[378,8822,8823],{},"支持",[393,8825,8826,8834,8841,8849,8857],{},[375,8827,8828,8831],{},[398,8829,8830],{},"国产闭源",[398,8832,8833],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[375,8835,8836,8838],{},[398,8837,417],{},[398,8839,8840],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[375,8842,8843,8846],{},[398,8844,8845],{},"OpenAI 系",[398,8847,8848],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[375,8850,8851,8854],{},[398,8852,8853],{},"Claude 系",[398,8855,8856],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[375,8858,8859,8862],{},[398,8860,8861],{},"嵌入 \u002F 重排",[398,8863,8864],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[30,8866,8867,8868,8871],{},"可以在 ",[46,8869,8870],{},"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。",[4674,8873,8874],{"id":8874},"工作流与高级编排",[30,8876,8877],{},"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。",[4674,8879,8880],{"id":8880},"多向量库选择",[30,8882,8883,8887],{},[613,8884,8886],{"href":8676,"rel":8885},[639],"腾讯云教程"," 公开的 4 种向量后端：",[369,8889,8890,8900],{},[372,8891,8892],{},[375,8893,8894,8897],{},[378,8895,8896],{},"后端",[378,8898,8899],{},"适用",[393,8901,8902,8910,8918,8926],{},[375,8903,8904,8907],{},[398,8905,8906],{},"PgVector",[398,8908,8909],{},"5000 万索引以下，新手 \u002F 小规模",[375,8911,8912,8915],{},[398,8913,8914],{},"Milvus",[398,8916,8917],{},"亿级以上，高性能",[375,8919,8920,8923],{},[398,8921,8922],{},"Zilliz Cloud",[398,8924,8925],{},"Milvus 全托管 SaaS",[375,8927,8928,8931],{},[398,8929,8930],{},"SeekDB \u002F OceanBase",[398,8932,8933],{},"企业级国产化",[30,8935,8936,8937,4598],{},"部署时选对应 ",[208,8938,8939],{},"docker-compose.{pgvector|milvus|...}.yml",[4674,8941,8943],{"id":8942},"api-与-mcp","API 与 MCP",[40,8945,8946,8952,8958,8968],{},[43,8947,8948,8951],{},[46,8949,8950],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[43,8953,8954,8957],{},[46,8955,8956],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[43,8959,8960,8963,8964,8967],{},[46,8961,8962],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[613,8965,1801],{"href":8966},"\u002Fcoding\u002Fcli\u002Fclaude-code.html"," 等客户端直接接入",[43,8969,8970,8973],{},[46,8971,8972],{},"Webhook","：回调通知",[25,8975,8977],{"id":8976},"部署-10-分钟docker","部署 10 分钟（Docker）",[201,8979,8981],{"className":203,"code":8980,"language":205,"meta":206,"style":206},"# 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",[208,8982,8983,8988,8997,9004,9008,9013,9026,9030,9035,9042,9050,9054,9058,9073,9077],{"__ignoreMap":206},[211,8984,8985],{"class":213,"line":214},[211,8986,8987],{"class":264},"# 克隆代码\n",[211,8989,8990,8992,8994],{"class":213,"line":228},[211,8991,218],{"class":217},[211,8993,222],{"class":221},[211,8995,8996],{"class":221}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[211,8998,8999,9001],{"class":213,"line":254},[211,9000,232],{"class":231},[211,9002,9003],{"class":221}," FastGPT\n",[211,9005,9006],{"class":213,"line":261},[211,9007,258],{"emptyLinePlaceholder":257},[211,9009,9010],{"class":213,"line":268},[211,9011,9012],{"class":264},"# 切到最新稳定版（参考 GitHub releases）\n",[211,9014,9015,9017,9020,9023],{"class":213,"line":280},[211,9016,218],{"class":217},[211,9018,9019],{"class":221}," switch",[211,9021,9022],{"class":231}," -c",[211,9024,9025],{"class":231}," 4.14.7.2\n",[211,9027,9028],{"class":213,"line":5},[211,9029,258],{"emptyLinePlaceholder":257},[211,9031,9032],{"class":213,"line":290},[211,9033,9034],{"class":264},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[211,9036,9037,9039],{"class":213,"line":324},[211,9038,232],{"class":231},[211,9040,9041],{"class":221}," deploy\u002Fdocker\u002Fcn\n",[211,9043,9044,9047],{"class":213,"line":329},[211,9045,9046],{"class":217},"wget",[211,9048,9049],{"class":221}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[211,9051,9052],{"class":213,"line":335},[211,9053,258],{"emptyLinePlaceholder":257},[211,9055,9056],{"class":213,"line":347},[211,9057,1683],{"class":264},[211,9059,9060,9063,9066,9069,9071],{"class":213,"line":358},[211,9061,9062],{"class":217},"docker-compose",[211,9064,9065],{"class":231}," -f",[211,9067,9068],{"class":221}," docker-compose.pg.yml",[211,9070,7992],{"class":221},[211,9072,7995],{"class":231},[211,9074,9075],{"class":213,"line":1680},[211,9076,258],{"emptyLinePlaceholder":257},[211,9078,9079],{"class":213,"line":1686},[211,9080,9081],{"class":264},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[30,9083,9084],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[30,9086,9087],{},"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。",[25,9089,9091],{"id":9090},"云版-vs-自托管对比","云版 vs 自托管对比",[30,9093,9094,9099],{},[613,9095,9098],{"href":9096,"rel":9097},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[639],"fastgpt.io 官方定价"," 公开数据：",[369,9101,9102,9127],{},[372,9103,9104],{},[375,9105,9106,9108,9110,9113,9116,9119,9121,9124],{},[378,9107,7883],{},[378,9109,112],{},[378,9111,9112],{},"AI 积分",[378,9114,9115],{},"知识库索引",[378,9117,9118],{},"团队",[378,9120,7740],{},[378,9122,9123],{},"知识库",[378,9125,9126],{},"QPM",[393,9128,9129,9153,9178,9202],{},[375,9130,9131,9133,9135,9138,9141,9144,9147,9150],{},[398,9132,7898],{},[398,9134,7615],{},[398,9136,9137],{},"100",[398,9139,9140],{},"600",[398,9142,9143],{},"1",[398,9145,9146],{},"10",[398,9148,9149],{},"3",[398,9151,9152],{},"30",[375,9154,9155,9158,9161,9164,9167,9170,9173,9175],{},[398,9156,9157],{},"基础",[398,9159,9160],{},"¥99\u002F月",[398,9162,9163],{},"4000",[398,9165,9166],{},"6000",[398,9168,9169],{},"5",[398,9171,9172],{},"50",[398,9174,9152],{},[398,9176,9177],{},"300",[375,9179,9180,9183,9186,9189,9192,9194,9197,9199],{},[398,9181,9182],{},"高级",[398,9184,9185],{},"¥599\u002F月",[398,9187,9188],{},"25000",[398,9190,9191],{},"36000",[398,9193,9172],{},[398,9195,9196],{},"200",[398,9198,9137],{},[398,9200,9201],{},"1500",[375,9203,9204,9207,9209,9212,9214,9216,9218,9220],{},[398,9205,9206],{},"定制",[398,9208,7624],{},[398,9210,9211],{},"弹性",[398,9213,9211],{},[398,9215,9211],{},[398,9217,9211],{},[398,9219,9211],{},[398,9221,9211],{},[30,9223,9224,9227,9228,9231,9232,9236],{},[46,9225,9226],{},"云版适合","：不想运维、量小、要快速上线\n",[46,9229,9230],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[613,9233,9235],{"href":8702,"rel":9234},[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\"",[25,9238,5020],{"id":5020},[369,9240,9241,9263],{},[372,9242,9243],{},[375,9244,9245,9247,9249,9253,9257,9260],{},[378,9246,380],{},[378,9248,7201],{},[378,9250,9251],{},[613,9252,7195],{"href":7194},[378,9254,9255],{},[613,9256,6795],{"href":7689},[378,9258,9259],{},"RAGFlow",[378,9261,9262],{},"AnythingLLM",[393,9264,9265,9284,9298,9313,9330,9345,9361,9376],{},[375,9266,9267,9269,9272,9275,9278,9281],{},[398,9268,5053],{},[398,9270,9271],{},"知识库 QA",[398,9273,9274],{},"综合 LLMOps",[398,9276,9277],{},"Bot + 工作流",[398,9279,9280],{},"文档解析+RAG",[398,9282,9283],{},"桌面级 KB",[375,9285,9286,9288,9290,9292,9294,9296],{},[398,9287,417],{},[398,9289,5855],{},[398,9291,5855],{},[398,9293,429],{},[398,9295,5855],{},[398,9297,426],{},[375,9299,9300,9302,9305,9307,9309,9311],{},[398,9301,7226],{},[398,9303,9304],{},"★★★★★ docker",[398,9306,5097],{},[398,9308,7229],{},[398,9310,5103],{},[398,9312,5097],{},[375,9314,9315,9318,9321,9323,9325,9328],{},[398,9316,9317],{},"RAG 深度",[398,9319,9320],{},"★★★★★ 最细",[398,9322,5103],{},[398,9324,5100],{},[398,9326,9327],{},"★★★★★ 文档解析最强",[398,9329,5100],{},[375,9331,9332,9335,9337,9339,9341,9343],{},[398,9333,9334],{},"工作流",[398,9336,5103],{},[398,9338,5097],{},[398,9340,5103],{},[398,9342,5100],{},[398,9344,8301],{},[375,9346,9347,9349,9352,9354,9357,9359],{},[398,9348,940],{},[398,9350,9351],{},"★★★☆☆ 需 docker",[398,9353,5103],{},[398,9355,9356],{},"★★★★★ 最简单",[398,9358,5100],{},[398,9360,5103],{},[375,9362,9363,9366,9368,9370,9372,9374],{},[398,9364,9365],{},"中文优化",[398,9367,5097],{},[398,9369,5103],{},[398,9371,5097],{},[398,9373,5103],{},[398,9375,5100],{},[375,9377,9378,9381,9384,9386,9388,9390],{},[398,9379,9380],{},"多平台发布",[398,9382,9383],{},"⚠️ API 为主",[398,9385,5103],{},[398,9387,5097],{},[398,9389,5147],{},[398,9391,5147],{},[30,9393,9394,7324,9396,6876],{},[46,9395,7323],{},[613,9397,9399],{"href":8702,"rel":9398},[639],"南环 AI 评测",[40,9401,9402,9408,9415,9422,9428],{},[43,9403,9404,9407],{},[46,9405,9406],{},"核心需求是 RAG 精度"," → FastGPT",[43,9409,9410,7348,9413],{},[46,9411,9412],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[613,9414,7195],{"href":7194},[43,9416,9417,7348,9420],{},[46,9418,9419],{},"零代码、快速发布到飞书 \u002F 微信",[613,9421,6795],{"href":7689},[43,9423,9424,9427],{},[46,9425,9426],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[43,9429,9430,9433],{},[46,9431,9432],{},"桌面 \u002F 单机使用"," → AnythingLLM",[30,9435,9436,9439],{},[46,9437,9438],{},"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。",[25,9441,5241],{"id":5241},[40,9443,9444,9457,9466,9472,9482,9494,9500,9506],{},[43,9445,9446,4917,9449,9452,9453,9456],{},[46,9447,9448],{},"docker-compose 镜像 tag 不一致",[613,9450,8886],{"href":8676,"rel":9451},[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 ",[208,9454,9455],{},"image:"," 行为正确版本即可",[43,9458,9459,9462,9463,9465],{},[46,9460,9461],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[208,9464,9062],{}," 的 ports 映射端口",[43,9467,9468,9471],{},[46,9469,9470],{},"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",[43,9473,9474,9477,9478,9481],{},[46,9475,9476],{},"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 ",[613,9479,9235],{"href":8702,"rel":9480},[639],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[43,9483,9484,4917,9487,9490,9491],{},[46,9485,9486],{},"MinIO 默认密码",[208,9488,9489],{},"minioadmin\u002Fminioadmin","，",[46,9492,9493],{},"部署到公网前必须改",[43,9495,9496,9499],{},[46,9497,9498],{},"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\"",[43,9501,9502,9505],{},[46,9503,9504],{},"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",[43,9507,9508,9511,9512,7400],{},[46,9509,9510],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[613,9513,9515],{"href":9096,"rel":9514},[639],"fastgpt.io 定价 FAQ",[25,9517,578],{"id":577},[30,9519,5312],{},[40,9521,9522,9525,9528,9531,9534,9537],{},[43,9523,9524],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[43,9526,9527],{},"产品 FAQ \u002F 用户手册问答",[43,9529,9530],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[43,9532,9533],{},"数据严格不出网 + Apache 2.0 商用",[43,9535,9536],{},"有 docker 运维基础的技术团队",[43,9538,9539],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[30,9541,5332],{},[40,9543,9544,9549,9554,9557],{},[43,9545,9546,9547,7400],{},"完全非技术用户（去 ",[613,9548,6795],{"href":7689},[43,9550,9551,9552,7400],{},"主要需求是工作流 + 插件集成（去 ",[613,9553,7195],{"href":7194},[43,9555,9556],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[43,9558,9559],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[25,9561,607],{"id":607},[40,9563,9564,9573,9589,9603],{},[43,9565,5360,9566,4815,9568,9570,9571],{},[613,9567,7195],{"href":7194},[613,9569,6795],{"href":7689}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[613,9572,6113],{"href":7509},[43,9574,5371,9575,4815,9577,4815,9581,4815,9584,4815,9587],{},[613,9576,7517],{"href":7516},[613,9578,9580],{"href":9579},"\u002Fwiki\u002Fembedding.html","Embedding",[613,9582,9583],{"href":9579},"Vector Database",[613,9585,9586],{"href":7516},"Reranker",[613,9588,5375],{"href":5374},[43,9590,5382,9591,4815,9593,4815,9595,4815,9597,4815,9601],{},[613,9592,7533],{"href":7532},[613,9594,5394],{"href":5393},[613,9596,7539],{"href":7538},[613,9598,9600],{"href":9599},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[613,9602,7529],{"href":7528},[43,9604,5397,9605,4815,9607],{},[613,9606,5401],{"href":5400},[613,9608,5405],{"href":5404},[25,9610,628],{"id":628},[40,9612,9613,9619,9625,9631],{},[43,9614,5412,9615],{},[613,9616,9617],{"href":9617,"rel":9618},"https:\u002F\u002Ffastgpt.io",[639],[43,9620,8582,9621],{},[613,9622,9623],{"href":9623,"rel":9624},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[639],[43,9626,9627,9628],{},"定价：",[613,9629,9096],{"href":9096,"rel":9630},[639],[43,9632,9633],{},"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",[30,9635,9636,9637,5431],{},"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 ",[613,9638,5430],{"href":5430},[662,9640,9641],{},"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 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var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":206,"searchDepth":254,"depth":254,"links":9643},[9644,9645,9653,9654,9655,9656,9657,9658,9659],{"id":27,"depth":228,"text":28},{"id":4672,"depth":228,"text":4672,"children":9646},[9647,9648,9649,9650,9651,9652],{"id":8710,"depth":254,"text":8711},{"id":8760,"depth":254,"text":8761},{"id":8810,"depth":254,"text":8811},{"id":8874,"depth":254,"text":8874},{"id":8880,"depth":254,"text":8880},{"id":8942,"depth":254,"text":8943},{"id":8976,"depth":228,"text":8977},{"id":9090,"depth":228,"text":9091},{"id":5020,"depth":228,"text":5020},{"id":5241,"depth":228,"text":5241},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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],{},[7603,5459,7602,9665,5457,9666],"gpt-4o","kimi",[9668,9669,9670],"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",[1352,1351,1353],[9674,9678,9682,9686,9690],{"plan":9675,"price":7898,"limit":9676,"cn_pay":5086,"note":9677},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":9679,"price":9680,"limit":9681,"cn_pay":5086,"note":3956},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库",{"plan":9683,"price":9160,"limit":9684,"cn_pay":7621,"note":9685},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":9687,"price":9185,"limit":9688,"cn_pay":1104,"note":9689},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":9691,"price":7624,"limit":9692,"cn_pay":1104,"note":9693},"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",{"power":261,"ux":261,"price":268,"cn_support":268,"stability":261},{"title":7201,"description":9661},[9698,9700,9702,9704,9706],{"title":9699,"url":9617},"FastGPT 官网",{"title":9701,"url":9623},"FastGPT GitHub",{"title":9703,"url":9096},"FastGPT 定价页",{"title":9705,"url":8702},"FastGPT 2025 测评（南环 AI）",{"title":9707,"url":8676},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[9710,9711,9712,9713,9714],"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",[7656,744,2883,8651,9717,3990,9718],"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。","3Y-t3FufM7dDfe0ULmUOTcEtW1ydhA6kARH98gHmn7E",{"id":9722,"title":7491,"alternatives":9723,"api_compatible":20,"body":9727,"category":7596,"chinese_friendly":254,"cover":10275,"description":10276,"domestic":680,"extension":681,"faq":10277,"free":680,"github":20,"languages":10290,"meta":10291,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":6111,"pillar":700,"platforms":10292,"priceTable":10294,"pricing":10307,"published":720,"relatedPlaybooks":10308,"relatedReviews":20,"score":10312,"self_host":257,"seo":10313,"slug":7668,"sources":10314,"stem":10324,"suitable":20,"tagline":10325,"tags":10326,"updated":731,"verdict":10330,"website":10317,"__hash__":10331},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md",[9724,9725,9726],{"name":6113,"url":6114},{"name":6116,"url":6117},{"name":6790,"url":6762},{"type":22,"value":9728,"toc":10263},[9729,9731,9734,9737,9739,9813,9815,9840,9845,9849,9853,9879,9883,9909,9911,9963,9966,9989,9991,10127,10129,10184,10186,10212,10214,10229,10231,10261],[25,9730,28],{"id":27},[30,9732,9733],{},"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。",[30,9735,9736],{},"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）。",[25,9738,38],{"id":38},[40,9740,9741,9747,9753,9759,9765,9771,9777,9783,9789,9795,9801,9807],{},[43,9742,9743,9746],{},[46,9744,9745],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[43,9748,9749,9752],{},[46,9750,9751],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[43,9754,9755,9758],{},[46,9756,9757],{},"多 agent 工作流","：编排多 agent 协作",[43,9760,9761,9764],{},[46,9762,9763],{},"Python 下钻","：任意节点可写 custom Python",[43,9766,9767,9770],{},[46,9768,9769],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[43,9772,9773,9776],{},[46,9774,9775],{},"API 部署","：流程一键导出为 REST API",[43,9778,9779,9782],{},[46,9780,9781],{},"Real-time collaboration","：多用户同 project",[43,9784,9785,9788],{},[46,9786,9787],{},"版本控制","：内置 versioning + revert",[43,9790,9791,9794],{},[46,9792,9793],{},"数据可视化","：node output \u002F data flow 可视化调试",[43,9796,9797,9800],{},[46,9798,9799],{},"角色权限","：user auth + RBAC",[43,9802,9803,9806],{},[46,9804,9805],{},"Docker \u002F pip 安装","：5 分钟启动",[43,9808,9809,9812],{},[46,9810,9811],{},"Astra-hosted cloud","：DataStax 托管选项",[25,9814,112],{"id":112},[40,9816,9817,9823,9829,9835],{},[43,9818,9819,9822],{},[46,9820,9821],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[43,9824,9825,9828],{},[46,9826,9827],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[43,9830,9831,9834],{},[46,9832,9833],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[43,9836,9837,9839],{},[46,9838,837],{},"：联系销售；SSO + audit + 私有部署 + SLA",[134,9841,9842],{},[30,9843,9844],{},"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。",[25,9846,9848],{"id":9847},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[30,9850,9851],{},[46,9852,147],{},[40,9854,9855,9858,9861,9864,9867,9870,9873,9876],{},[43,9856,9857],{},"画布直观，比纯写 LangChain 协作效率高 5x",[43,9859,9860],{},"节点下钻到 Python 让灵活度不被画布限制",[43,9862,9863],{},"Astra DB 集成省了配 vector store 时间",[43,9865,9866],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[43,9868,9869],{},"开源 + 自托管 + 数据驻留满足合规",[43,9871,9872],{},"多 agent 编排比裸 LangChain 调试容易",[43,9874,9875],{},"RAG pipeline 模板一键起 demo",[43,9877,9878],{},"与 DataStax 长期支持降低 abandon ware 风险",[30,9880,9881],{},[46,9882,172],{},[40,9884,9885,9888,9891,9894,9897,9900,9903,9906],{},[43,9886,9887],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[43,9889,9890],{},"第三方 API 依赖：external API 失败时错误处理弱",[43,9892,9893],{},"production readiness 不算 mission-critical（要自加 observability）",[43,9895,9896],{},"LangChain 升级偶尔 break 旧 flow",[43,9898,9899],{},"文档对新组件滞后 1-2 月",[43,9901,9902],{},"中文 UI 不完整，业务侧用户上手陡",[43,9904,9905],{},"大型 flow（100+ 节点）画布卡顿",[43,9907,9908],{},"多人协作偶发同步冲突",[25,9910,940],{"id":940},[201,9912,9914],{"className":203,"code":9913,"language":205,"meta":206,"style":206},"# 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",[208,9915,9916,9921,9930,9939,9943,9948],{"__ignoreMap":206},[211,9917,9918],{"class":213,"line":214},[211,9919,9920],{"class":264},"# pip 安装\n",[211,9922,9923,9925,9927],{"class":213,"line":228},[211,9924,242],{"class":217},[211,9926,245],{"class":221},[211,9928,9929],{"class":221}," langflow\n",[211,9931,9932,9934,9936],{"class":213,"line":254},[211,9933,6110],{"class":217},[211,9935,2377],{"class":221},[211,9937,9938],{"class":264},"  # http:\u002F\u002Flocalhost:7860\n",[211,9940,9941],{"class":213,"line":261},[211,9942,258],{"emptyLinePlaceholder":257},[211,9944,9945],{"class":213,"line":268},[211,9946,9947],{"class":264},"# 或 Docker\n",[211,9949,9950,9952,9954,9957,9960],{"class":213,"line":280},[211,9951,2374],{"class":217},[211,9953,2377],{"class":221},[211,9955,9956],{"class":231}," -p",[211,9958,9959],{"class":221}," 7860:7860",[211,9961,9962],{"class":221}," langflowai\u002Flangflow:latest\n",[30,9964,9965],{},"试 RAG 流：",[630,9967,9968,9971,9974,9977,9980,9983,9986],{},[43,9969,9970],{},"新建 flow → 选 Document QA 模板",[43,9972,9973],{},"Document Loader 节点 → 上传 PDF",[43,9975,9976],{},"Splitter → Embedder（OpenAI 或本地）",[43,9978,9979],{},"VectorStore（Astra \u002F Chroma）",[43,9981,9982],{},"Retriever + ChatOpenAI → Chat Output",[43,9984,9985],{},"部署为 API → 拿到 endpoint",[43,9987,9988],{},"复杂场景下钻节点写 Python 自定义",[25,9990,367],{"id":367},[369,9992,9993,10008],{},[372,9994,9995],{},[375,9996,9997,9999,10001,10003,10005],{},[378,9998,380],{},[378,10000,7491],{},[378,10002,7195],{},[378,10004,6113],{},[378,10006,10007],{},"Flowise",[393,10009,10010,10027,10041,10055,10068,10083,10096,10111],{},[375,10011,10012,10015,10018,10021,10024],{},[398,10013,10014],{},"中心",[398,10016,10017],{},"LangChain primitive",[398,10019,10020],{},"LLMOps 全平台",[398,10022,10023],{},"通用 workflow",[398,10025,10026],{},"LangChain（JS）",[375,10028,10029,10031,10033,10036,10039],{},[398,10030,417],{},[398,10032,426],{},[398,10034,10035],{},"✅ AGPL",[398,10037,10038],{},"✅ Sustainable",[398,10040,426],{},[375,10042,10043,10045,10048,10051,10053],{},[398,10044,8045],{},[398,10046,10047],{},"✅ pip\u002FDocker",[398,10049,10050],{},"✅ Docker",[398,10052,10050],{},[398,10054,1104],{},[375,10056,10057,10060,10062,10064,10066],{},[398,10058,10059],{},"可视化",[398,10061,1074],{},[398,10063,1104],{},[398,10065,1104],{},[398,10067,1104],{},[375,10069,10070,10073,10076,10078,10081],{},[398,10071,10072],{},"代码下钻",[398,10074,10075],{},"✅ Python",[398,10077,443],{},[398,10079,10080],{},"✅ JS",[398,10082,10080],{},[375,10084,10085,10088,10090,10092,10094],{},[398,10086,10087],{},"RAG 内置",[398,10089,1104],{},[398,10091,1104],{},[398,10093,443],{},[398,10095,1104],{},[375,10097,10098,10101,10103,10106,10109],{},[398,10099,10100],{},"起价（云）",[398,10102,3758],{},[398,10104,10105],{},"$59\u002F月（Team）",[398,10107,10108],{},"自托管 $0",[398,10110,440],{},[375,10112,10113,10115,10118,10121,10124],{},[398,10114,509],{},[398,10116,10117],{},"工程 + LangChain",[398,10119,10120],{},"业务 + LLMOps",[398,10122,10123],{},"通用自动化",[398,10125,10126],{},"JS 生态",[25,10128,524],{"id":524},[40,10130,10131,10137,10143,10149,10155,10161,10167,10173,10178],{},[43,10132,10133,10136],{},[46,10134,10135],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[43,10138,10139,10142],{},[46,10140,10141],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[43,10144,10145,10148],{},[46,10146,10147],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[43,10150,10151,10154],{},[46,10152,10153],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[43,10156,10157,10160],{},[46,10158,10159],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[43,10162,10163,10166],{},[46,10164,10165],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[43,10168,10169,10172],{},[46,10170,10171],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[43,10174,10175,10177],{},[46,10176,3288],{},"：UI 英文为主，业务侧用户先培训",[43,10179,10180,10183],{},[46,10181,10182],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[25,10185,578],{"id":577},[40,10187,10188,10191,10194,10197,10200,10203,10206,10209],{},[43,10189,10190],{},"✅ 工程团队要可视化建 LangChain 流",[43,10192,10193],{},"✅ 合规 \u002F 数据驻留要求自托管",[43,10195,10196],{},"✅ 要 Astra DB 一站式 RAG",[43,10198,10199],{},"✅ Python 团队 + 想画布 + 想下钻代码",[43,10201,10202],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[43,10204,10205],{},"❌ 纯无代码偏好",[43,10207,10208],{},"❌ 轻量场景 + 直接写 LangChain 更快",[43,10210,10211],{},"❌ JS 生态优先（用 Flowise）",[25,10213,607],{"id":607},[40,10215,10216,10220,10224],{},[43,10217,10218],{},[613,10219,6692],{"href":6114},[43,10221,10222],{},[613,10223,6697],{"href":6117},[43,10225,10226],{},[613,10227,10228],{"href":6762},"OpenManus 评测",[25,10230,628],{"id":628},[630,10232,10233,10240,10247,10254],{},[43,10234,10235,10236],{},"Langflow 官网 + 定价 ",[613,10237,10238],{"href":10238,"rel":10239},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[639],[43,10241,10242,10243],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[613,10244,10245],{"href":10245,"rel":10246},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[639],[43,10248,10249,10250],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[613,10251,10252],{"href":10252,"rel":10253},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[639],[43,10255,10256,10257],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[613,10258,10259],{"href":10259,"rel":10260},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[639],[662,10262,9641],{},{"title":206,"searchDepth":254,"depth":254,"links":10264},[10265,10266,10267,10268,10269,10270,10271,10272,10273,10274],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":9847,"depth":228,"text":9848},{"id":940,"depth":228,"text":940},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[10278,10281,10284,10287],{"q":10279,"a":10280},"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":10282,"a":10283},"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":10285,"a":10286},"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":10288,"a":10289},"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。",[697,1348],{},[2883,10293,2374,704],"cloud",[10295,10298,10300,10304],{"plan":9821,"price":707,"features":10296,"notes":10297},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":9827,"price":707,"features":10299,"notes":3956},"DataStax 托管 + 小流量",{"plan":9833,"price":10301,"features":10302,"notes":10303},"~$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":837,"price":7929,"features":10305,"notes":10306},"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）",[10309],{"name":10310,"url":10311},"RAG 应用搭建工作流","\u002Fplaybook\u002Fonboarding\u002Frag-app-workflow",{"power":261,"ux":268,"price":268,"cn_support":254,"stability":261},{"title":7491,"description":10276},[10315,10318,10320,10322],{"name":10316,"url":10317,"accessed":731},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":10319,"url":10245,"accessed":731},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":10321,"url":10252,"accessed":731},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":10323,"url":10259,"accessed":731},"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",[744,10327,10328,8651,10329,6110],"visual-builder","langchain","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。","eCjsOTFwABESw_XGCPtOv8Lbi5wLL7TlH0O5lbHxof0",{"id":10333,"title":6113,"alternatives":10334,"api_compatible":20,"body":10338,"category":7596,"chinese_friendly":254,"cover":10978,"description":10979,"domestic":680,"extension":681,"faq":10980,"free":680,"github":20,"languages":10993,"meta":10994,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":6114,"pillar":700,"platforms":10995,"priceTable":10996,"pricing":11012,"published":720,"relatedPlaybooks":11013,"relatedReviews":20,"score":11017,"self_host":257,"seo":11018,"slug":7667,"sources":11019,"stem":11028,"suitable":20,"tagline":11029,"tags":11030,"updated":731,"verdict":11032,"website":10940,"__hash__":11033},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[10335,10336,10337],{"name":6110,"url":6111},{"name":6116,"url":6117},{"name":6790,"url":6762},{"type":22,"value":10339,"toc":10966},[10340,10342,10345,10348,10350,10423,10425,10450,10455,10459,10463,10489,10493,10519,10523,10645,10648,10674,10677,10679,10824,10826,10887,10889,10915,10917,10931,10933,10963],[25,10341,28],{"id":27},[30,10343,10344],{},"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。",[30,10346,10347],{},"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）。",[25,10349,38],{"id":38},[40,10351,10352,10358,10364,10369,10375,10381,10387,10393,10399,10405,10411,10417],{},[43,10353,10354,10357],{},[46,10355,10356],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[43,10359,10360,10363],{},[46,10361,10362],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[43,10365,10366,10368],{},[46,10367,1071],{},"：MCP server 一键挂载到 agent",[43,10370,10371,10374],{},[46,10372,10373],{},"Ollama 集成","：本地 LLM 零 API 成本",[43,10376,10377,10380],{},[46,10378,10379],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[43,10382,10383,10386],{},[46,10384,10385],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[43,10388,10389,10392],{},[46,10390,10391],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[43,10394,10395,10398],{},[46,10396,10397],{},"多分支并行 + 错误处理","：production workflow 必备",[43,10400,10401,10404],{},[46,10402,10403],{},"版本控制 + Git Sync","：workflow as code",[43,10406,10407,10410],{},[46,10408,10409],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[43,10412,10413,10416],{},[46,10414,10415],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[43,10418,10419,10422],{},[46,10420,10421],{},"5800+ 社区 workflow","：clone 即用",[25,10424,112],{"id":112},[40,10426,10427,10433,10439,10445],{},[43,10428,10429,10432],{},[46,10430,10431],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[43,10434,10435,10438],{},[46,10436,10437],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[43,10440,10441,10444],{},[46,10442,10443],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[43,10446,10447,10449],{},[46,10448,837],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[134,10451,10452],{},[30,10453,10454],{},"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。",[25,10456,10458],{"id":10457},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[30,10460,10461],{},[46,10462,147],{},[40,10464,10465,10468,10471,10474,10477,10480,10483,10486],{},[43,10466,10467],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[43,10469,10470],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[43,10472,10473],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[43,10475,10476],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[43,10478,10479],{},"5800+ 社区 workflow 节省 80% 上手时间",[43,10481,10482],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[43,10484,10485],{},"升级 Docker tag 一行，无 vendor 升级费",[43,10487,10488],{},"中文社区 \u002F B 站教程丰富",[30,10490,10491],{},[46,10492,172],{},[40,10494,10495,10498,10501,10504,10507,10510,10513,10516],{},[43,10496,10497],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[43,10499,10500],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[43,10502,10503],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[43,10505,10506],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[43,10508,10509],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[43,10511,10512],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[43,10514,10515],{},"Webhook 公网暴露要加 IP 白名单 + secret",[43,10517,10518],{},"Worker 模式才能并发，单进程吞吐有限",[25,10520,10522],{"id":10521},"上手docker-5-分钟","上手（Docker 5 分钟）",[201,10524,10526],{"className":203,"code":10525,"language":205,"meta":206,"style":206},"# 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",[208,10527,10528,10533,10543,10547,10551,10561,10571,10581,10594,10603,10612,10621,10631,10636,10640],{"__ignoreMap":206},[211,10529,10530],{"class":213,"line":214},[211,10531,10532],{"class":264},"# 持久化目录\n",[211,10534,10535,10538,10540],{"class":213,"line":228},[211,10536,10537],{"class":217},"mkdir",[211,10539,9956],{"class":231},[211,10541,10542],{"class":221}," ~\u002Fn8n-data\n",[211,10544,10545],{"class":213,"line":254},[211,10546,258],{"emptyLinePlaceholder":257},[211,10548,10549],{"class":213,"line":261},[211,10550,1683],{"class":264},[211,10552,10553,10555,10557,10559],{"class":213,"line":268},[211,10554,2374],{"class":217},[211,10556,2377],{"class":221},[211,10558,2380],{"class":231},[211,10560,344],{"class":231},[211,10562,10563,10566,10569],{"class":213,"line":280},[211,10564,10565],{"class":231},"  --name",[211,10567,10568],{"class":221}," n8n",[211,10570,344],{"class":231},[211,10572,10573,10576,10579],{"class":213,"line":5},[211,10574,10575],{"class":231},"  -p",[211,10577,10578],{"class":221}," 5678:5678",[211,10580,344],{"class":231},[211,10582,10583,10586,10589,10592],{"class":213,"line":290},[211,10584,10585],{"class":231},"  -e",[211,10587,10588],{"class":221}," N8N_BASIC_AUTH_ACTIVE=",[211,10590,10591],{"class":231},"true",[211,10593,344],{"class":231},[211,10595,10596,10598,10601],{"class":213,"line":324},[211,10597,10585],{"class":231},[211,10599,10600],{"class":221}," N8N_BASIC_AUTH_USER=admin",[211,10602,344],{"class":231},[211,10604,10605,10607,10610],{"class":213,"line":329},[211,10606,10585],{"class":231},[211,10608,10609],{"class":221}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[211,10611,344],{"class":231},[211,10613,10614,10616,10619],{"class":213,"line":335},[211,10615,2393],{"class":231},[211,10617,10618],{"class":221}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[211,10620,344],{"class":231},[211,10622,10623,10626,10629],{"class":213,"line":347},[211,10624,10625],{"class":231},"  --restart",[211,10627,10628],{"class":221}," always",[211,10630,344],{"class":231},[211,10632,10633],{"class":213,"line":358},[211,10634,10635],{"class":221},"  n8nio\u002Fn8n\n",[211,10637,10638],{"class":213,"line":1680},[211,10639,258],{"emptyLinePlaceholder":257},[211,10641,10642],{"class":213,"line":1686},[211,10643,10644],{"class":264},"# http:\u002F\u002Flocalhost:5678\n",[30,10646,10647],{},"连 Ollama：",[201,10649,10651],{"className":203,"code":10650,"language":205,"meta":206,"style":206},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[208,10652,10653,10660,10669],{"__ignoreMap":206},[211,10654,10655,10657],{"class":213,"line":214},[211,10656,2498],{"class":217},[211,10658,10659],{"class":221}," serve\n",[211,10661,10662,10664,10666],{"class":213,"line":228},[211,10663,2498],{"class":217},[211,10665,2501],{"class":221},[211,10667,10668],{"class":221}," llama3.2\n",[211,10670,10671],{"class":213,"line":254},[211,10672,10673],{"class":264},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[30,10675,10676],{},"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。",[25,10678,367],{"id":367},[369,10680,10681,10697],{},[372,10682,10683],{},[375,10684,10685,10687,10689,10692,10695],{},[378,10686,380],{},[378,10688,6113],{},[378,10690,10691],{},"Zapier",[378,10693,10694],{},"Make",[378,10696,7491],{},[393,10698,10699,10712,10724,10741,10753,10767,10779,10793,10808],{},[375,10700,10701,10703,10706,10708,10710],{},[398,10702,417],{},[398,10704,10705],{},"✅ fair-code",[398,10707,429],{},[398,10709,429],{},[398,10711,426],{},[375,10713,10714,10716,10718,10720,10722],{},[398,10715,8045],{},[398,10717,1074],{},[398,10719,429],{},[398,10721,429],{},[398,10723,1104],{},[375,10725,10726,10729,10732,10735,10738],{},[398,10727,10728],{},"集成数",[398,10730,10731],{},"400+",[398,10733,10734],{},"8000+",[398,10736,10737],{},"2000+",[398,10739,10740],{},"LangChain 原语",[375,10742,10743,10745,10747,10749,10751],{},[398,10744,5375],{},[398,10746,1074],{},[398,10748,443],{},[398,10750,443],{},[398,10752,1104],{},[375,10754,10755,10758,10761,10763,10765],{},[398,10756,10757],{},"LangChain 节点",[398,10759,10760],{},"✅ 70 个",[398,10762,429],{},[398,10764,429],{},[398,10766,476],{},[375,10768,10769,10771,10773,10775,10777],{},[398,10770,1861],{},[398,10772,476],{},[398,10774,429],{},[398,10776,429],{},[398,10778,443],{},[375,10780,10781,10784,10787,10789,10791],{},[398,10782,10783],{},"Local LLM",[398,10785,10786],{},"✅ Ollama",[398,10788,429],{},[398,10790,429],{},[398,10792,1104],{},[375,10794,10795,10797,10800,10803,10806],{},[398,10796,1156],{},[398,10798,10799],{},"$0 自托管",[398,10801,10802],{},"$29.99\u002F月",[398,10804,10805],{},"$9\u002F月",[398,10807,10799],{},[375,10809,10810,10812,10815,10818,10821],{},[398,10811,509],{},[398,10813,10814],{},"开发者 + 高量级",[398,10816,10817],{},"非技术 + 简单",[398,10819,10820],{},"中等复杂",[398,10822,10823],{},"LangChain 工程",[25,10825,524],{"id":524},[40,10827,10828,10834,10840,10846,10852,10858,10864,10870,10876,10881],{},[43,10829,10830,10833],{},[46,10831,10832],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[43,10835,10836,10839],{},[46,10837,10838],{},"Worker 模式","：高并发要起 worker container 才能并行",[43,10841,10842,10845],{},[46,10843,10844],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[43,10847,10848,10851],{},[46,10849,10850],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[43,10853,10854,10857],{},[46,10855,10856],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[43,10859,10860,10863],{},[46,10861,10862],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[43,10865,10866,10869],{},[46,10867,10868],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[43,10871,10872,10875],{},[46,10873,10874],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[43,10877,10878,10880],{},[46,10879,10421],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[43,10882,10883,10886],{},[46,10884,10885],{},"monitoring","：生产部署加 prometheus + 错误告警",[25,10888,578],{"id":577},[40,10890,10891,10894,10897,10900,10903,10906,10909,10912],{},[43,10892,10893],{},"✅ 开发者 + 完全控制 + 高量级自动化",[43,10895,10896],{},"✅ 从 Zapier \u002F Make 迁出降本",[43,10898,10899],{},"✅ AI Agent + LangChain + MCP 一体",[43,10901,10902],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[43,10904,10905],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[43,10907,10908],{},"❌ 完全不愿自托管 + 不想付 Cloud",[43,10910,10911],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[43,10913,10914],{},"❌ 极简 2-step 自动化（Zapier 更快）",[25,10916,607],{"id":607},[40,10918,10919,10923,10927],{},[43,10920,10921],{},[613,10922,6687],{"href":6111},[43,10924,10925],{},[613,10926,6697],{"href":6117},[43,10928,10929],{},[613,10930,10228],{"href":6762},[25,10932,628],{"id":628},[630,10934,10935,10942,10949,10956],{},[43,10936,10937,10938],{},"n8n 官网 ",[613,10939,10940],{"href":10940,"rel":10941},"https:\u002F\u002Fn8n.io",[639],[43,10943,10944,10945],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[613,10946,10947],{"href":10947,"rel":10948},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[639],[43,10950,10951,10952],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[613,10953,10954],{"href":10954,"rel":10955},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[639],[43,10957,10958,10959],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[613,10960,10961],{"href":10961,"rel":10962},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[639],[662,10964,10965],{},"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":206,"searchDepth":254,"depth":254,"links":10967},[10968,10969,10970,10971,10972,10973,10974,10975,10976,10977],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":10457,"depth":228,"text":10458},{"id":10521,"depth":228,"text":10522},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"text":628},"\u002Fimg\u002Ftools\u002Fn8n.webp","n8n 真实评测：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。",[10981,10984,10987,10990],{"q":10982,"a":10983},"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":10985,"a":10986},"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":10988,"a":10989},"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":10991,"a":10992},"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。",[697,1348],{},[2883,10293,2374,704],[10997,11001,11005,11009],{"plan":10998,"price":707,"features":10999,"notes":11000},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":10437,"price":11002,"features":11003,"notes":11004},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":10443,"price":11006,"features":11007,"notes":11008},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":837,"price":7929,"features":11010,"notes":11011},"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",[11014],{"name":11015,"url":11016},"n8n 自托管 + Ollama 自动化","\u002Fplaybook\u002Fonboarding\u002Fn8n-ollama-automation",{"power":268,"ux":261,"price":268,"cn_support":254,"stability":268},{"title":6113,"description":10979},[11020,11022,11024,11026],{"name":11021,"url":10940,"accessed":731},"n8n 官网",{"name":11023,"url":10947,"accessed":731},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":11025,"url":10954,"accessed":731},"Tutorials Technology — n8n + AI on Linux 2026",{"name":11027,"url":10961,"accessed":731},"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",[744,7658,11031,10328,1397,2883,6113],"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。","90tFLjTDSjxw39fv1_p6ApLyl87172IIlgJ26ge1upY",{"id":11035,"title":11036,"alternatives":11037,"api_compatible":20,"body":11041,"category":7596,"chinese_friendly":268,"cover":11522,"description":11523,"domestic":680,"extension":681,"faq":11524,"free":680,"github":20,"languages":11537,"meta":11538,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":11539,"pillar":700,"platforms":11540,"priceTable":11544,"pricing":11556,"published":720,"relatedPlaybooks":11557,"relatedReviews":20,"score":11561,"self_host":680,"seo":11562,"slug":6798,"sources":11563,"stem":11572,"suitable":20,"tagline":11573,"tags":11574,"updated":731,"verdict":11580,"website":11487,"__hash__":11581},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi.md","腾讯元器",[11038,11039,11040],{"name":6110,"url":6111},{"name":6113,"url":6114},{"name":6116,"url":6117},{"type":22,"value":11042,"toc":11510},[11043,11045,11048,11051,11053,11127,11129,11149,11154,11158,11162,11188,11192,11218,11222,11245,11247,11377,11379,11434,11436,11462,11464,11478,11480],[25,11044,28],{"id":27},[30,11046,11047],{},"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。",[30,11049,11050],{},"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）。",[25,11052,38],{"id":38},[40,11054,11055,11061,11067,11073,11079,11085,11091,11097,11103,11109,11115,11121],{},[43,11056,11057,11060],{},[46,11058,11059],{},"公众号一键授权","：扫码绑定 → 历史文章变知识库",[43,11062,11063,11066],{},[46,11064,11065],{},"零代码创建","：自然语言描述 → 智能体 + 工作流",[43,11068,11069,11072],{},[46,11070,11071],{},"混元 + DeepSeek 双底座","：选模型 + 备案合规",[43,11074,11075,11078],{},[46,11076,11077],{},"知识库 RAG","：文章 \u002F PDF \u002F 网页 \u002F 自定义文本",[43,11080,11081,11084],{},[46,11082,11083],{},"工作流引擎","：可视化编排多步执行",[43,11086,11087,11090],{},[46,11088,11089],{},"多 Agent 协作","：子 agent 调子 agent 完成复杂任务",[43,11092,11093,11096],{},[46,11094,11095],{},"插件广场","：搜索 \u002F 天气 \u002F 翻译 \u002F 图片生成等",[43,11098,11099,11102],{},[46,11100,11101],{},"智能体广场 \u002F 模板","：clone 业内成熟智能体",[43,11104,11105,11108],{},[46,11106,11107],{},"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",[43,11110,11111,11114],{},[46,11112,11113],{},"微信支付 MCP","：智能体可直接发起支付闭环",[43,11116,11117,11120],{},[46,11118,11119],{},"企业级解决方案","：私有部署 + SSO + 定制",[43,11122,11123,11126],{},[46,11124,11125],{},"小助手 \u002F 客服助手 \u002F IP 分身 \u002F 角色陪聊","等内置场景",[25,11128,112],{"id":112},[40,11130,11131,11137,11143],{},[43,11132,11133,11136],{},[46,11134,11135],{},"免费创建","：¥0；创建智能体 + 公众号绑定 + 知识库 + 工作流",[43,11138,11139,11142],{},[46,11140,11141],{},"按量付费","：混元 \u002F DeepSeek token + 知识库检索 + 工作流执行 + 插件调用按次数",[43,11144,11145,11148],{},[46,11146,11147],{},"企业级方案","：联系商务；私有部署 + SSO + 定制 + SLA",[134,11150,11151],{},[30,11152,11153],{},"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。",[25,11155,11157],{"id":11156},"实测公众号自媒体-政企客服","实测（公众号自媒体 + 政企客服）",[30,11159,11160],{},[46,11161,147],{},[40,11163,11164,11167,11170,11173,11176,11179,11182,11185],{},[43,11165,11166],{},"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",[43,11168,11169],{},"混元 + DeepSeek 中文效果好 + 国内备案合规",[43,11171,11172],{},"微信生态全链路：粉丝问 → 智能体答 → 推荐产品 → 微信支付 闭环",[43,11174,11175],{},"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",[43,11177,11178],{},"政务 \u002F 央企（钦州政务 \u002F 中国石化『小石头』）有正式落地",[43,11180,11181],{},"多 Agent 协作架构让复杂业务场景可拆分",[43,11183,11184],{},"零代码运营人员可独立完成，不依赖技术",[43,11186,11187],{},"智能体模板让冷启动快 10x",[30,11189,11190],{},[46,11191,172],{},[40,11193,11194,11197,11200,11203,11206,11209,11212,11215],{},[43,11195,11196],{},"新旧版双底层，旧版用户迁移有摩擦",[43,11198,11199],{},"海外用户访问受限，跨海外业务用不上",[43,11201,11202],{},"工作流编排能力不如 Dify \u002F Coze 强（少高级控制流）",[43,11204,11205],{},"多 Agent 编排 UI 学习曲线",[43,11207,11208],{},"知识库切片粒度自定义有限",[43,11210,11211],{},"国产模型 reasoning 能力比 GPT-5 \u002F Claude 仍有差距",[43,11213,11214],{},"自托管 \u002F 数据私有化不可行（除非企业版私有部署）",[43,11216,11217],{},"海外大模型接入限制（混元 \u002F DeepSeek 为主）",[25,11219,11221],{"id":11220},"上手公众号博主-5-分钟","上手（公众号博主 5 分钟）",[630,11223,11224,11227,11230,11233,11236,11239,11242],{},[43,11225,11226],{},"yuanqi.tencent.com → 微信扫码登录",[43,11228,11229],{},"新建智能体 → 名字 + 头像 + 描述",[43,11231,11232],{},"知识库 → 绑定公众号 → 扫码授权 → 等历史文章入库（几分钟）",[43,11234,11235],{},"角色设定 → 例：『你是 X 公众号官方助手，基于知识库回答问题』",[43,11237,11238],{},"测试对话 → 验证答案命中文章",[43,11240,11241],{},"发布 → 选择渠道（公众号菜单 \u002F 客服）",[43,11243,11244],{},"粉丝在公众号点击菜单 → 进入 AI 对话",[25,11246,367],{"id":367},[369,11248,11249,11264],{},[372,11250,11251],{},[375,11252,11253,11255,11257,11259,11261],{},[378,11254,380],{},[378,11256,7365],{},[378,11258,6795],{},[378,11260,7195],{},[378,11262,11263],{},"文心智能体",[393,11265,11266,11278,11291,11307,11321,11334,11350,11363],{},[375,11267,11268,11270,11272,11274,11276],{},[398,11269,11059],{},[398,11271,1074],{},[398,11273,429],{},[398,11275,429],{},[398,11277,443],{},[375,11279,11280,11283,11285,11287,11289],{},[398,11281,11282],{},"微信支付闭环",[398,11284,470],{},[398,11286,429],{},[398,11288,429],{},[398,11290,429],{},[375,11292,11293,11296,11299,11302,11304],{},[398,11294,11295],{},"多渠道发布",[398,11297,11298],{},"微信生态",[398,11300,11301],{},"多平台 + 海外",[398,11303,8045],{},[398,11305,11306],{},"百度生态",[375,11308,11309,11312,11314,11317,11319],{},[398,11310,11311],{},"海外可用",[398,11313,429],{},[398,11315,11316],{},"✅ Coze.com",[398,11318,1104],{},[398,11320,429],{},[375,11322,11323,11325,11328,11330,11332],{},[398,11324,8045],{},[398,11326,11327],{},"❌（企业版才有）",[398,11329,429],{},[398,11331,5855],{},[398,11333,429],{},[375,11335,11336,11339,11342,11344,11347],{},[398,11337,11338],{},"LLM 底座",[398,11340,11341],{},"混元 + DeepSeek",[398,11343,3728],{},[398,11345,11346],{},"多家 + 自托管",[398,11348,11349],{},"文心一言",[375,11351,11352,11354,11357,11359,11361],{},[398,11353,9334],{},[398,11355,11356],{},"✅ 基础",[398,11358,1074],{},[398,11360,1074],{},[398,11362,1104],{},[375,11364,11365,11367,11370,11372,11375],{},[398,11366,509],{},[398,11368,11369],{},"公众号 + 国内",[398,11371,11301],{},[398,11373,11374],{},"自托管 + 企业",[398,11376,11306],{},[25,11378,524],{"id":524},[40,11380,11381,11387,11393,11399,11405,11410,11416,11422,11428],{},[43,11382,11383,11386],{},[46,11384,11385],{},"新版优先","：旧版功能停止演进，新建议直接新版",[43,11388,11389,11392],{},[46,11390,11391],{},"公众号文章质量","：知识库 = 文章质量，垃圾文章入库 = 垃圾回答",[43,11394,11395,11398],{},[46,11396,11397],{},"测试对话","：发布前测 20 个常见问题，验证答案准确",[43,11400,11401,11404],{},[46,11402,11403],{},"兜底回复","：知识库命中失败要有兜底引导（『请联系人工』）",[43,11406,11407,11409],{},[46,11408,11282],{},"：用户体验要清晰，支付链路要可中断",[43,11411,11412,11415],{},[46,11413,11414],{},"token 预算","：开通调用前看模型计价 + 设上限",[43,11417,11418,11421],{},[46,11419,11420],{},"海外用户","：访问可能不稳，业务覆盖海外要走 Coze",[43,11423,11424,11427],{},[46,11425,11426],{},"政务 \u002F 央企合规","：用企业版私有部署 + 备案",[43,11429,11430,11433],{},[46,11431,11432],{},"多 Agent 不要过度","：复杂业务先单 agent 跑通，再拆分",[25,11435,578],{"id":577},[40,11437,11438,11441,11444,11447,11450,11453,11456,11459],{},[43,11439,11440],{},"✅ 微信公众号博主 \u002F 国内自媒体",[43,11442,11443],{},"✅ 政企客服 \u002F 政务 \u002F 民生场景",[43,11445,11446],{},"✅ 电商品牌 + 微信支付闭环",[43,11448,11449],{},"✅ 零代码运营 + 非技术团队",[43,11451,11452],{},"❌ 海外用户 \u002F 跨平台分发",[43,11454,11455],{},"❌ 自托管 \u002F 数据零云",[43,11457,11458],{},"❌ 纯通用 reasoning \u002F 学术 agent",[43,11460,11461],{},"❌ 深度工程化 + API-first",[25,11463,607],{"id":607},[40,11465,11466,11470,11474],{},[43,11467,11468],{},[613,11469,6687],{"href":6111},[43,11471,11472],{},[613,11473,6692],{"href":6114},[43,11475,11476],{},[613,11477,6697],{"href":6117},[25,11479,628],{"id":628},[630,11481,11482,11489,11496,11503],{},[43,11483,11484,11485],{},"腾讯元器官网 ",[613,11486,11487],{"href":11487,"rel":11488},"https:\u002F\u002Fyuanqi.tencent.com",[639],[43,11490,11491,11492],{},"腾讯元器帮助中心 - 平台介绍 + 升级说明 ",[613,11493,11494],{"href":11494,"rel":11495},"https:\u002F\u002Fyuanqi.tencent.com\u002Fguide\u002Fyuanqi-introduction",[639],[43,11497,11498,11499],{},"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）",[613,11500,11501],{"href":11501,"rel":11502},"https:\u002F\u002Fyuanqi.tencent.com\u002Fagent-center\u002Findex",[639],[43,11504,11505,11506],{},"AGI 空间站 — 腾讯混元 + 元器生态 ",[613,11507,11508],{"href":11508,"rel":11509},"https:\u002F\u002Fdocs.feishu.cn\u002Fv\u002Fwiki\u002FJc1TwOaAni879pksMgmcqgUNnof\u002Fa3",[639],{"title":206,"searchDepth":254,"depth":254,"links":11511},[11512,11513,11514,11515,11516,11517,11518,11519,11520,11521],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":11156,"depth":228,"text":11157},{"id":11220,"depth":228,"text":11221},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[11525,11528,11531,11534],{"q":11526,"a":11527},"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":11529,"a":11530},"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":11532,"a":11533},"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":11535,"a":11536},"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",[704,11541,11542,11543],"wechat-mp","wechat-work","wechat-pay",[11545,11548,11552],{"plan":11135,"price":7615,"features":11546,"notes":11547},"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":11141,"price":11549,"features":11550,"notes":11551},"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":11147,"price":11553,"features":11554,"notes":11555},"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",[11558],{"name":11559,"url":11560},"公众号 7×24 AI 分身搭建","\u002Fplaybook\u002Fonboarding\u002Fwechat-mp-ai-agent",{"power":261,"ux":268,"price":268,"cn_support":268,"stability":261},{"title":11036,"description":11523},[11564,11566,11568,11570],{"name":11565,"url":11487,"accessed":731},"腾讯元器官网",{"name":11567,"url":11494,"accessed":731},"腾讯元器帮助中心 - 平台介绍",{"name":11569,"url":11501,"accessed":731},"智能体广场",{"name":11571,"url":11508,"accessed":731},"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",[11575,11576,7657,11577,11578,11579],"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。","ffVJnAHGDWtHozRE1jzbZPDP1LZLHkLpNckR9u9UjDs",{"id":11583,"title":11584,"alternatives":11585,"api_compatible":20,"body":11593,"category":12404,"chinese_friendly":254,"cover":12405,"description":12406,"domestic":680,"extension":681,"faq":12407,"free":680,"github":20,"languages":12420,"meta":12421,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":6117,"pillar":700,"platforms":12422,"priceTable":12425,"pricing":12435,"published":720,"relatedPlaybooks":12436,"relatedReviews":20,"score":12440,"self_host":680,"seo":12441,"slug":12442,"sources":12443,"stem":12454,"suitable":20,"tagline":12455,"tags":12456,"updated":731,"verdict":12460,"website":12359,"__hash__":12461},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio.md","Composio",[11586,11589,11592],{"name":11587,"url":11588},"smithery","\u002Ftools\u002Fagent\u002Fprotocol\u002Fsmithery",{"name":11590,"url":11591},"mcp-toolbox","\u002Ftools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox",{"name":6110,"url":6111},{"type":22,"value":11594,"toc":12392},[11595,11597,11600,11603,11605,11678,11680,11697,11702,11706,11710,11736,11740,11766,11770,11800,12086,12088,12235,12237,12301,12303,12332,12334,12350,12352,12389],[25,11596,28],{"id":27},[30,11598,11599],{},"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。",[30,11601,11602],{},"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）。",[25,11604,38],{"id":38},[40,11606,11607,11613,11619,11625,11631,11637,11643,11649,11654,11660,11666,11672],{},[43,11608,11609,11612],{},[46,11610,11611],{},"1000+ pre-built 集成","：GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear \u002F Jira \u002F Google Workspace 等",[43,11614,11615,11618],{},[46,11616,11617],{},"托管 OAuth","：OAuth flow + token refresh + multi-user 全自动",[43,11620,11621,11624],{},[46,11622,11623],{},"沙箱执行","：tool call 在隔离环境跑，安全隔离",[43,11626,11627,11630],{},[46,11628,11629],{},"action-level 权限","：可精确控制 agent 能做什么（read-only \u002F write \u002F admin）",[43,11632,11633,11636],{},[46,11634,11635],{},"审计日志","：每次 tool call 完整记录（timestamp \u002F user \u002F args \u002F result）",[43,11638,11639,11642],{},[46,11640,11641],{},"框架无关","：MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT",[43,11644,11645,11648],{},[46,11646,11647],{},"Python + TypeScript SDK","：主流 agent 栈都能用",[43,11650,11651,11653],{},[46,11652,3300],{},"：1000+ 工具一站式 MCP 入口",[43,11655,11656,11659],{},[46,11657,11658],{},"多用户 session","：per-user OAuth + 隔离 workspace",[43,11661,11662,11665],{},[46,11663,11664],{},"自定义工具","：BaseTool 扩展 + JSON schema 验证",[43,11667,11668,11671],{},[46,11669,11670],{},"企业能力","：SSO \u002F audit \u002F SLA \u002F 私有部署",[43,11673,11674,11677],{},[46,11675,11676],{},"AWS \u002F Zoom \u002F Glean 客户","：production 验证",[25,11679,112],{"id":112},[40,11681,11682,11687,11693],{},[43,11683,11684,11686],{},[46,11685,847],{},"：$0；全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server",[43,11688,11689,11692],{},[46,11690,11691],{},"Growth","：按 action 量阶梯；更高额度 + 团队",[43,11694,11695,9839],{},[46,11696,837],{},[134,11698,11699],{},[30,11700,11701],{},"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。",[25,11703,11705],{"id":11704},"实测agent-接入多-saas","实测（agent 接入多 SaaS）",[30,11707,11708],{},[46,11709,147],{},[40,11711,11712,11715,11718,11721,11724,11727,11730,11733],{},[43,11713,11714],{},"集成宽度（1000+）业内最广",[43,11716,11717],{},"OAuth 全托管省 50% 工程量",[43,11719,11720],{},"一份 SDK 跑通 CrewAI \u002F LangChain \u002F OpenAI Agents SDK",[43,11722,11723],{},"沙箱执行 + audit log 让企业合规过关",[43,11725,11726],{},"AWS \u002F Zoom \u002F Glean 等大客户 = production-grade 信号",[43,11728,11729],{},"Tooliverse 8.56\u002F10、Toolradar 4.9\u002F5（295 reviews）",[43,11731,11732],{},"5 分钟可让 CrewAI agent 在 GitHub 上 star 一个 repo",[43,11734,11735],{},"self-healing tool execution（自动重试 + 错误处理）",[30,11737,11738],{},[46,11739,172],{},[40,11741,11742,11745,11748,11751,11754,11757,11760,11763],{},[43,11743,11744],{},"文档『can lag behind rapid feature releases』",[43,11746,11747],{},"pricing scales steeply for high-frequency use cases",[43,11749,11750],{},"自定义工具要『master schema validation that documentation doesn't fully demystify』",[43,11752,11753],{},"冷门集成 action coverage 浅，只支持基础 CRUD",[43,11755,11756],{},"数据完全 SaaS 化，零云需求不能用",[43,11758,11759],{},"国内访问偶发慢（CDN 在海外）",[43,11761,11762],{},"Free 档 action 限额对生产 hobby 也容易撞顶",[43,11764,11765],{},"vendor lock-in：迁移要重写 OAuth 层",[25,11767,11769],{"id":11768},"上手crewai-5-分钟","上手（CrewAI 5 分钟）",[201,11771,11773],{"className":203,"code":11772,"language":205,"meta":206,"style":206},"pip install composio composio-crewai crewai\nexport COMPOSIO_API_KEY=***\n",[208,11774,11775,11790],{"__ignoreMap":206},[211,11776,11777,11779,11781,11784,11787],{"class":213,"line":214},[211,11778,242],{"class":217},[211,11780,245],{"class":221},[211,11782,11783],{"class":221}," composio",[211,11785,11786],{"class":221}," composio-crewai",[211,11788,11789],{"class":221}," crewai\n",[211,11791,11792,11794,11797],{"class":213,"line":228},[211,11793,1652],{"class":309},[211,11795,11796],{"class":238}," COMPOSIO_API_KEY",[211,11798,11799],{"class":309},"=***\n",[201,11801,11804],{"className":11802,"code":11803,"language":338,"meta":206,"style":206},"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",[208,11805,11806,11820,11832,11844,11848,11867,11906,11916,11920,11925,11940,11968,11972,11982,11994,12006,12024,12028,12065],{"__ignoreMap":206},[211,11807,11808,11811,11814,11817],{"class":213,"line":214},[211,11809,11810],{"class":309},"from",[211,11812,11813],{"class":238}," composio_crewai ",[211,11815,11816],{"class":309},"import",[211,11818,11819],{"class":238}," ComposioProvider\n",[211,11821,11822,11824,11827,11829],{"class":213,"line":228},[211,11823,11810],{"class":309},[211,11825,11826],{"class":238}," composio ",[211,11828,11816],{"class":309},[211,11830,11831],{"class":238}," Composio\n",[211,11833,11834,11836,11839,11841],{"class":213,"line":254},[211,11835,11810],{"class":309},[211,11837,11838],{"class":238}," crewai ",[211,11840,11816],{"class":309},[211,11842,11843],{"class":238}," Agent, Task, Crew\n",[211,11845,11846],{"class":213,"line":261},[211,11847,258],{"emptyLinePlaceholder":257},[211,11849,11850,11853,11855,11858,11862,11864],{"class":213,"line":268},[211,11851,11852],{"class":238},"composio ",[211,11854,1658],{"class":309},[211,11856,11857],{"class":238}," Composio(",[211,11859,11861],{"class":11860},"s4XuR","provider",[211,11863,1658],{"class":309},[211,11865,11866],{"class":238},"ComposioProvider())\n",[211,11868,11869,11872,11874,11877,11880,11882,11885,11887,11890,11892,11895,11898,11900,11903],{"class":213,"line":280},[211,11870,11871],{"class":238},"session ",[211,11873,1658],{"class":309},[211,11875,11876],{"class":238}," composio.create(",[211,11878,11879],{"class":11860},"user_id",[211,11881,1658],{"class":309},[211,11883,11884],{"class":221},"\"alice\"",[211,11886,1013],{"class":238},[211,11888,11889],{"class":11860},"toolkits",[211,11891,1658],{"class":309},[211,11893,11894],{"class":238},"[",[211,11896,11897],{"class":221},"\"github\"",[211,11899,1013],{"class":238},[211,11901,11902],{"class":221},"\"gmail\"",[211,11904,11905],{"class":238},"])\n",[211,11907,11908,11911,11913],{"class":213,"line":5},[211,11909,11910],{"class":238},"tools ",[211,11912,1658],{"class":309},[211,11914,11915],{"class":238}," session.tools()\n",[211,11917,11918],{"class":213,"line":290},[211,11919,258],{"emptyLinePlaceholder":257},[211,11921,11922],{"class":213,"line":324},[211,11923,11924],{"class":264},"# 手动授权（首次）\n",[211,11926,11927,11930,11932,11935,11937],{"class":213,"line":329},[211,11928,11929],{"class":238},"auth ",[211,11931,1658],{"class":309},[211,11933,11934],{"class":238}," session.authorize(",[211,11936,11897],{"class":221},[211,11938,11939],{"class":238},")\n",[211,11941,11942,11945,11948,11951,11954,11957,11960,11963,11966],{"class":213,"line":335},[211,11943,11944],{"class":231},"print",[211,11946,11947],{"class":238},"(",[211,11949,11950],{"class":309},"f",[211,11952,11953],{"class":221},"\"Visit: ",[211,11955,11956],{"class":231},"{",[211,11958,11959],{"class":238},"auth.redirect_url",[211,11961,11962],{"class":231},"}",[211,11964,11965],{"class":221},"\"",[211,11967,11939],{"class":238},[211,11969,11970],{"class":213,"line":347},[211,11971,258],{"emptyLinePlaceholder":257},[211,11973,11974,11977,11979],{"class":213,"line":358},[211,11975,11976],{"class":238},"agent ",[211,11978,1658],{"class":309},[211,11980,11981],{"class":238}," Agent(\n",[211,11983,11984,11987,11989,11992],{"class":213,"line":1680},[211,11985,11986],{"class":11860},"    role",[211,11988,1658],{"class":309},[211,11990,11991],{"class":221},"\"GitHub Agent\"",[211,11993,999],{"class":238},[211,11995,11996,11999,12001,12004],{"class":213,"line":1686},[211,11997,11998],{"class":11860},"    goal",[211,12000,1658],{"class":309},[211,12002,12003],{"class":221},"\"Star repos on behalf of users\"",[211,12005,999],{"class":238},[211,12007,12008,12011,12013,12016,12019,12021],{"class":213,"line":1692},[211,12009,12010],{"class":11860},"    tools",[211,12012,1658],{"class":309},[211,12014,12015],{"class":238},"tools, ",[211,12017,12018],{"class":11860},"llm",[211,12020,1658],{"class":309},[211,12022,12023],{"class":231},"...\n",[211,12025,12026],{"class":213,"line":1697},[211,12027,11939],{"class":238},[211,12029,12030,12033,12035,12038,12041,12043,12046,12048,12050,12052,12055,12058,12060,12063],{"class":213,"line":2469},[211,12031,12032],{"class":238},"task ",[211,12034,1658],{"class":309},[211,12036,12037],{"class":238}," Task(",[211,12039,12040],{"class":11860},"description",[211,12042,1658],{"class":309},[211,12044,12045],{"class":221},"\"Star composiohq\u002Fcomposio\"",[211,12047,1013],{"class":238},[211,12049,700],{"class":11860},[211,12051,1658],{"class":309},[211,12053,12054],{"class":238},"agent, ",[211,12056,12057],{"class":11860},"expected_output",[211,12059,1658],{"class":309},[211,12061,12062],{"class":221},"\"done\"",[211,12064,11939],{"class":238},[211,12066,12067,12070,12073,12075,12078,12081,12083],{"class":213,"line":2477},[211,12068,12069],{"class":238},"Crew(",[211,12071,12072],{"class":11860},"agents",[211,12074,1658],{"class":309},[211,12076,12077],{"class":238},"[agent], ",[211,12079,12080],{"class":11860},"tasks",[211,12082,1658],{"class":309},[211,12084,12085],{"class":238},"[task]).kickoff()\n",[25,12087,367],{"id":367},[369,12089,12090,12107],{},[372,12091,12092],{},[375,12093,12094,12096,12098,12101,12104],{},[378,12095,380],{},[378,12097,11584],{},[378,12099,12100],{},"Smithery",[378,12102,12103],{},"MCP Toolbox",[378,12105,12106],{},"LangChain Tools",[393,12108,12109,12125,12140,12156,12168,12181,12194,12206,12220],{},[375,12110,12111,12113,12116,12119,12122],{},[398,12112,10728],{},[398,12114,12115],{},"1000+",[398,12117,12118],{},"MCP 注册中心",[398,12120,12121],{},"Google MCP 集合",[398,12123,12124],{},"~200",[375,12126,12127,12130,12132,12135,12137],{},[398,12128,12129],{},"OAuth 托管",[398,12131,1074],{},[398,12133,12134],{},"❌ 各 server 自管",[398,12136,429],{},[398,12138,12139],{},"自己写",[375,12141,12142,12145,12148,12151,12153],{},[398,12143,12144],{},"框架兼容",[398,12146,12147],{},"MCP + LC + CrewAI + Autogen + OpenAI",[398,12149,12150],{},"MCP only",[398,12152,12150],{},[398,12154,12155],{},"LangChain only",[375,12157,12158,12160,12162,12164,12166],{},[398,12159,11623],{},[398,12161,1104],{},[398,12163,429],{},[398,12165,429],{},[398,12167,429],{},[375,12169,12170,12173,12175,12177,12179],{},[398,12171,12172],{},"audit log",[398,12174,1104],{},[398,12176,429],{},[398,12178,443],{},[398,12180,429],{},[375,12182,12183,12186,12188,12190,12192],{},[398,12184,12185],{},"企业 SSO",[398,12187,1104],{},[398,12189,429],{},[398,12191,429],{},[398,12193,429],{},[375,12195,12196,12198,12200,12202,12204],{},[398,12197,8045],{},[398,12199,429],{},[398,12201,443],{},[398,12203,5855],{},[398,12205,426],{},[375,12207,12208,12210,12213,12215,12218],{},[398,12209,1156],{},[398,12211,12212],{},"Free + 按 action",[398,12214,847],{},[398,12216,12217],{},"$0 OSS",[398,12219,707],{},[375,12221,12222,12224,12227,12230,12233],{},[398,12223,509],{},[398,12225,12226],{},"多 SaaS + 多框架",[398,12228,12229],{},"MCP server 发现",[398,12231,12232],{},"Google Cloud",[398,12234,12155],{},[25,12236,524],{"id":524},[40,12238,12239,12245,12251,12260,12265,12271,12277,12283,12289,12295],{},[43,12240,12241,12244],{},[46,12242,12243],{},"action 预算","：先估月度 action 量 + 选档，high-frequency 不要无脑用 Free",[43,12246,12247,12250],{},[46,12248,12249],{},"OAuth scope 最小化","：只授权必需 scope，audit log 也更干净",[43,12252,12253,12256,12257,12259],{},[46,12254,12255],{},"每用户 session","：multi-tenant 用 ",[208,12258,11879],{}," 隔离 OAuth + workspace",[43,12261,12262,12264],{},[46,12263,11664],{},"：先看 JSON schema 文档 + 跑 unit test 验证",[43,12266,12267,12270],{},[46,12268,12269],{},"冷门集成","：先 try Free 跑 demo 确认 action coverage 够",[43,12272,12273,12276],{},[46,12274,12275],{},"fallback","：Composio 不可用要有 fallback（重试 + 备用 SDK）",[43,12278,12279,12282],{},[46,12280,12281],{},"数据零云需求","：用 MCP server 自托管，不要用 Composio",[43,12284,12285,12288],{},[46,12286,12287],{},"国内访问","：CDN 海外，国内 production 用 proxy \u002F 反代",[43,12290,12291,12294],{},[46,12292,12293],{},"rate limit","：每个 SaaS 还有自己的 rate limit，Composio 不替你解决",[43,12296,12297,12300],{},[46,12298,12299],{},"vendor lock","：业务核心要做迁移预案（abstract OAuth 层）",[25,12302,578],{"id":577},[40,12304,12305,12308,12311,12314,12317,12320,12323,12326,12329],{},[43,12306,12307],{},"✅ 要造 agent 接多 SaaS 工具",[43,12309,12310],{},"✅ OAuth \u002F token refresh \u002F 错误重试不想自写",[43,12312,12313],{},"✅ 多框架兼容（不锁定）",[43,12315,12316],{},"✅ 企业 + 合规 + audit log",[43,12318,12319],{},"✅ 已有 MCP server 但想要更广覆盖",[43,12321,12322],{},"❌ 单一工具 high-frequency（自接 API 更便宜）",[43,12324,12325],{},"❌ 轻量 hobby project（LangChain 够用）",[43,12327,12328],{},"❌ 完全自托管 \u002F 数据零云",[43,12330,12331],{},"❌ 要 1000% 控制集成代码",[25,12333,607],{"id":607},[40,12335,12336,12341,12346],{},[43,12337,12338],{},[613,12339,12340],{"href":11588},"Smithery 评测",[43,12342,12343],{},[613,12344,12345],{"href":11591},"MCP Toolbox 评测",[43,12347,12348],{},[613,12349,6687],{"href":6111},[25,12351,628],{"id":628},[630,12353,12354,12361,12368,12375,12382],{},[43,12355,12356,12357],{},"Composio 官网 + Pricing ",[613,12358,12359],{"href":12359,"rel":12360},"https:\u002F\u002Fcomposio.dev",[639],[43,12362,12363,12364],{},"Tooliverse — Composio Review 2026 + 8.56\u002F10 + 295 reviews ",[613,12365,12366],{"href":12366,"rel":12367},"https:\u002F\u002Ftooliverse.ai\u002Ftools\u002Fcomposio",[639],[43,12369,12370,12371],{},"Sift AI — Composio Review 2026: Integration Platform for AI Agents ",[613,12372,12373],{"href":12373,"rel":12374},"https:\u002F\u002Fsiftaitools.com\u002Freviews\u002Fcomposio",[639],[43,12376,12377,12378],{},"Toolradar — Composio Reviews + 4.9\u002F5 ",[613,12379,12380],{"href":12380,"rel":12381},"https:\u002F\u002Ftoolradar.com\u002Ftools\u002Fcomposio",[639],[43,12383,12384,12385],{},"CrewAI Docs — Composio Tool 集成示例 + 250+ tools ",[613,12386,12387],{"href":12387,"rel":12388},"https:\u002F\u002Fdocs.crewai.com\u002Fen\u002Ftools\u002Fautomation\u002Fcomposiotool",[639],[662,12390,12391],{},"html pre.shiki code .sScJk, html code.shiki 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.sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}",{"title":206,"searchDepth":254,"depth":254,"links":12393},[12394,12395,12396,12397,12398,12399,12400,12401,12402,12403],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":11704,"depth":228,"text":11705},{"id":11768,"depth":228,"text":11769},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[12408,12411,12414,12417],{"q":12409,"a":12410},"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":12412,"a":12413},"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":12415,"a":12416},"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":12418,"a":12419},"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],{},[12423,12424,1397],"api","sdk",[12426,12429,12433],{"plan":847,"price":707,"features":12427,"notes":12428},"全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server","开发 \u002F 试水",{"plan":11691,"price":12430,"features":12431,"notes":12432},"按 action","更高 action 限额 + 更多并发 + 细粒度权限 + 团队","生产部署",{"plan":837,"price":7929,"features":12434,"notes":11011},"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",[12437],{"name":12438,"url":12439},"Agent 集成层选型与避坑","\u002Fplaybook\u002Fonboarding\u002Fagent-integration-layer",{"power":268,"ux":261,"price":261,"cn_support":254,"stability":261},{"title":11584,"description":12406},"agent\u002Fprotocol\u002Fcomposio",[12444,12446,12448,12450,12452],{"name":12445,"url":12359,"accessed":731},"Composio 官网",{"name":12447,"url":12366,"accessed":731},"Tooliverse — Composio Review 2026 Agent Tool Execution",{"name":12449,"url":12373,"accessed":731},"Sift AI — Composio Review 2026: Integration Platform",{"name":12451,"url":12380,"accessed":731},"Toolradar — Composio Reviews + 4.9\u002F5",{"name":12453,"url":12387,"accessed":731},"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",[12457,12458,1397,12459,6116],"agent-infra","integrations","oauth","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。","yi7VmfVTxwHKbAo52lT72LQmtjnrmyuJ8Bm24zn3g9Y",{"id":12463,"title":12103,"alternatives":12464,"api_compatible":20,"body":12468,"category":12404,"chinese_friendly":228,"cover":13335,"description":13336,"domestic":680,"extension":681,"faq":13337,"free":680,"github":13297,"languages":13350,"meta":13351,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":11591,"pillar":700,"platforms":13352,"priceTable":13353,"pricing":13360,"published":13361,"relatedPlaybooks":13362,"relatedReviews":20,"score":13366,"self_host":257,"seo":13367,"slug":13368,"sources":13369,"stem":13380,"suitable":20,"tagline":13381,"tags":13382,"updated":731,"verdict":13386,"website":13290,"__hash__":13387},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox.md",[12465,12466,12467],{"name":11587,"url":11588},{"name":6116,"url":6117},{"name":6110,"url":6111},{"type":22,"value":12469,"toc":13323},[12470,12472,12495,12498,12500,12590,12592,12606,12611,12615,12619,12648,12652,12683,12687,12991,12998,13000,13164,13166,13232,13234,13265,13267,13281,13283,13320],[25,12471,28],{"id":27},[30,12473,12474,12475,12478,12479,12482,12483,12486,12487,12490,12491,12494],{},"MCP Toolbox for Databases（前 ",[208,12476,12477],{},"genai-toolbox","）是 Google 开源的 MCP 数据库网关，由 ",[208,12480,12481],{},"googleapis"," GitHub 组织维护，Apache 2.0 协议。它的差异点：",[46,12484,12485],{},"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。",[46,12488,12489],{},"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 ",[208,12492,12493],{},"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。",[30,12496,12497],{},"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。",[25,12499,38],{"id":38},[40,12501,12502,12508,12516,12531,12537,12543,12549,12555,12561,12570,12579,12585],{},[43,12503,12504,12507],{},[46,12505,12506],{},"42+ 数据源","：GCP 全家桶 + 主流自管 DB + NoSQL + 图 DB + Lake\u002FOLAP",[43,12509,12510,4917,12513,12515],{},[46,12511,12512],{},"声明式工具",[208,12514,12493],{}," 定义 name \u002F source \u002F 参数化 SQL \u002F 描述",[43,12517,12518,4917,12521,4815,12524,4815,12527,12530],{},[46,12519,12520],{},"预置工具",[208,12522,12523],{},"execute_sql",[208,12525,12526],{},"list_tables",[208,12528,12529],{},"get_table_info"," 开箱即用",[43,12532,12533,12536],{},[46,12534,12535],{},"连接池","：高并发 Agent 不打挂数据库",[43,12538,12539,12542],{},[46,12540,12541],{},"IAM \u002F OAuth2 \u002F OIDC","：按用户\u002F角色限制可调工具",[43,12544,12545,12548],{},[46,12546,12547],{},"OpenTelemetry","：metrics + tracing 出厂集成",[43,12550,12551,12554],{},[46,12552,12553],{},"多语言 SDK","：Python \u002F TypeScript \u002F Go \u002F Java（v1.0+）",[43,12556,12557,12560],{},[46,12558,12559],{},"框架集成","：LangChain \u002F LlamaIndex \u002F Genkit \u002F Google ADK 原生",[43,12562,12563,12566,12567,12569],{},[46,12564,12565],{},"动态热重载","：dev 模式改 ",[208,12568,12493],{}," 不需重启",[43,12571,12572,12578],{},[46,12573,12574,12577],{},[208,12575,12576],{},"--ui"," 交互模式","：本地调试 tool 的可视化界面",[43,12580,12581,12584],{},[46,12582,12583],{},"MCP 协议兼容","：任何 MCP 客户端可接入",[43,12586,12587,12589],{},[46,12588,1910],{},"：可商用、可自托管、可改",[25,12591,112],{"id":112},[40,12593,12594,12600],{},[43,12595,12596,12599],{},[46,12597,12598],{},"OSS","：$0；完整功能 + 42+ 数据源",[43,12601,12602,12605],{},[46,12603,12604],{},"GCP 托管","：只付 Cloud Run \u002F GKE \u002F DB 资源费，Toolbox 自身不收费",[134,12607,12608],{},[30,12609,12610],{},"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。",[25,12612,12614],{"id":12613},"实测gcp-alloydb-claude-code","实测（GCP + AlloyDB + Claude Code）",[30,12616,12617],{},[46,12618,147],{},[40,12620,12621,12628,12633,12636,12639,12642,12645],{},[43,12622,12623,12624,12627],{},"5 分钟从 ",[208,12625,12626],{},"docker run"," 到 Claude Code 用 NL 查询数据库",[43,12629,12630,12632],{},[208,12631,12493],{}," 声明式比写 LangChain Python tool 干净很多",[43,12634,12635],{},"连接池让 100 个并发 Agent 不会拖垮 PG",[43,12637,12638],{},"IAM 集成让生产环境合规过关",[43,12640,12641],{},"OpenTelemetry trace 直接连到 Cloud Trace，慢查询定位简单",[43,12643,12644],{},"兼容 Claude Code \u002F Gemini CLI \u002F Codex \u002F Antigravity 等多客户端，不锁定",[43,12646,12647],{},"Java SDK 让 Spring Boot 项目零外接",[30,12649,12650],{},[46,12651,172],{},[40,12653,12654,12657,12662,12665,12668,12671,12674,12677],{},[43,12655,12656],{},"全英文文档，国内开发者要硬啃",[43,12658,12659,12661],{},[208,12660,12493],{}," 语法有学习曲线，复杂 query 不如直接写代码",[43,12663,12664],{},"非 GCP 用户用不上一半预置 source",[43,12666,12667],{},"LLM 仍会 hallucinate 表名 \u002F 列名 → 要在 description 写清 schema",[43,12669,12670],{},"冷门数据源（OceanBase \u002F TiDB）prebuilt 工具浅，要写自定义",[43,12672,12673],{},"多客户端共享同一 Toolbox 时，权限粒度仍偏粗",[43,12675,12676],{},"Go binary + Docker 部署对纯 Python team 是新栈",[43,12678,12679,12680,12682],{},"改 ",[208,12681,12493],{}," 后 LLM context 会更新，要重启对话才彻底生效",[25,12684,12686],{"id":12685},"上手postgresql-5-分钟","上手（PostgreSQL 5 分钟）",[201,12688,12690],{"className":203,"code":12689,"language":205,"meta":206,"style":206},"# 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",[208,12691,12692,12697,12719,12724,12728,12733,12738,12743,12751,12759,12767,12775,12783,12791,12795,12800,12805,12812,12823,12831,12837,12849,12860,12875,12884,12905,12935,12940,12946,12951,12961,12981,12986],{"__ignoreMap":206},[211,12693,12694],{"class":213,"line":214},[211,12695,12696],{"class":264},"# 1. 拉镜像\n",[211,12698,12699,12701,12703,12705,12708,12711,12714,12717],{"class":213,"line":228},[211,12700,2374],{"class":217},[211,12702,2377],{"class":221},[211,12704,9956],{"class":231},[211,12706,12707],{"class":221}," 5000:5000",[211,12709,12710],{"class":231}," -v",[211,12712,12713],{"class":238}," $PWD",[211,12715,12716],{"class":221},"\u002Ftools.yaml:\u002Fconfig\u002Ftools.yaml",[211,12718,344],{"class":231},[211,12720,12721],{"class":213,"line":254},[211,12722,12723],{"class":221},"  us-central1-docker.pkg.dev\u002Fdatabase-toolbox\u002Ftoolbox\u002Ftoolbox:latest\n",[211,12725,12726],{"class":213,"line":261},[211,12727,258],{"emptyLinePlaceholder":257},[211,12729,12730],{"class":213,"line":268},[211,12731,12732],{"class":264},"# 2. tools.yaml\n",[211,12734,12735],{"class":213,"line":280},[211,12736,12737],{"class":217},"sources:\n",[211,12739,12740],{"class":213,"line":5},[211,12741,12742],{"class":217},"  my-pg:\n",[211,12744,12745,12748],{"class":213,"line":290},[211,12746,12747],{"class":217},"    kind:",[211,12749,12750],{"class":221}," postgres\n",[211,12752,12753,12756],{"class":213,"line":324},[211,12754,12755],{"class":217},"    host:",[211,12757,12758],{"class":221}," localhost\n",[211,12760,12761,12764],{"class":213,"line":329},[211,12762,12763],{"class":217},"    port:",[211,12765,12766],{"class":231}," 5432\n",[211,12768,12769,12772],{"class":213,"line":335},[211,12770,12771],{"class":217},"    database:",[211,12773,12774],{"class":221}," shop\n",[211,12776,12777,12780],{"class":213,"line":347},[211,12778,12779],{"class":217},"    user:",[211,12781,12782],{"class":221}," agent\n",[211,12784,12785,12788],{"class":213,"line":358},[211,12786,12787],{"class":217},"    password:",[211,12789,12790],{"class":231}," ***\n",[211,12792,12793],{"class":213,"line":1680},[211,12794,258],{"emptyLinePlaceholder":257},[211,12796,12797],{"class":213,"line":1686},[211,12798,12799],{"class":217},"tools:\n",[211,12801,12802],{"class":213,"line":1692},[211,12803,12804],{"class":217},"  search_products:\n",[211,12806,12807,12809],{"class":213,"line":1697},[211,12808,12747],{"class":217},[211,12810,12811],{"class":221}," postgres-sql\n",[211,12813,12814,12817,12820],{"class":213,"line":2469},[211,12815,12816],{"class":231},"    source",[211,12818,12819],{"class":221},":",[211,12821,12822],{"class":221}," my-pg\n",[211,12824,12825,12828],{"class":213,"line":2477},[211,12826,12827],{"class":217},"    description:",[211,12829,12830],{"class":221}," \"Search products by name (case-insensitive, top 10)\"\n",[211,12832,12834],{"class":213,"line":12833},20,[211,12835,12836],{"class":217},"    parameters:\n",[211,12838,12840,12843,12846],{"class":213,"line":12839},21,[211,12841,12842],{"class":217},"      -",[211,12844,12845],{"class":221}," name:",[211,12847,12848],{"class":221}," name\n",[211,12850,12852,12855,12857],{"class":213,"line":12851},22,[211,12853,12854],{"class":231},"        type",[211,12856,12819],{"class":221},[211,12858,12859],{"class":221}," string\n",[211,12861,12863,12866,12869,12872],{"class":213,"line":12862},23,[211,12864,12865],{"class":217},"        description:",[211,12867,12868],{"class":221}," Product",[211,12870,12871],{"class":221}," name",[211,12873,12874],{"class":221}," keyword\n",[211,12876,12878,12881],{"class":213,"line":12877},24,[211,12879,12880],{"class":217},"    statement:",[211,12882,12883],{"class":309}," |\n",[211,12885,12887,12890,12893,12896,12899,12902],{"class":213,"line":12886},25,[211,12888,12889],{"class":217},"      SELECT",[211,12891,12892],{"class":221}," id,",[211,12894,12895],{"class":221}," name,",[211,12897,12898],{"class":221}," price",[211,12900,12901],{"class":221}," FROM",[211,12903,12904],{"class":221}," products\n",[211,12906,12908,12911,12913,12916,12919,12922,12925,12927,12929,12932],{"class":213,"line":12907},26,[211,12909,12910],{"class":217},"      WHERE",[211,12912,12871],{"class":221},[211,12914,12915],{"class":221}," ILIKE",[211,12917,12918],{"class":221}," '%'",[211,12920,12921],{"class":309}," ||",[211,12923,12924],{"class":11860}," $1",[211,12926,12921],{"class":309},[211,12928,12918],{"class":217},[211,12930,12931],{"class":221}," LIMIT",[211,12933,12934],{"class":231}," 10\n",[211,12936,12938],{"class":213,"line":12937},27,[211,12939,258],{"emptyLinePlaceholder":257},[211,12941,12943],{"class":213,"line":12942},28,[211,12944,12945],{"class":264},"# 3. 注册到 Claude Desktop（mcp config）\n",[211,12947,12949],{"class":213,"line":12948},29,[211,12950,970],{"class":238},[211,12952,12954,12956,12958],{"class":213,"line":12953},30,[211,12955,975],{"class":217},[211,12957,12819],{"class":231},[211,12959,12960],{"class":221}," {\n",[211,12962,12964,12967,12969,12972,12975,12978],{"class":213,"line":12963},31,[211,12965,12966],{"class":217},"    \"toolbox\"",[211,12968,12819],{"class":231},[211,12970,12971],{"class":221}," {",[211,12973,12974],{"class":221}," \"url\":",[211,12976,12977],{"class":221}," \"http:\u002F\u002Flocalhost:5000\u002Fmcp\"",[211,12979,12980],{"class":221}," }\n",[211,12982,12984],{"class":213,"line":12983},32,[211,12985,1034],{"class":238},[211,12987,12989],{"class":213,"line":12988},33,[211,12990,1039],{"class":238},[30,12992,12993,12994,12997],{},"启动后 Claude 看到 ",[208,12995,12996],{},"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。",[25,12999,367],{"id":367},[369,13001,13002,13017],{},[372,13003,13004],{},[375,13005,13006,13008,13010,13012,13014],{},[378,13007,380],{},[378,13009,12103],{},[378,13011,11584],{},[378,13013,12100],{},[378,13015,13016],{},"LangChain SQL Tool",[393,13018,13019,13035,13052,13066,13081,13093,13107,13123,13136,13148],{},[375,13020,13021,13024,13027,13030,13032],{},[398,13022,13023],{},"焦点",[398,13025,13026],{},"DB + 数据源",[398,13028,13029],{},"SaaS 集成",[398,13031,12229],{},[398,13033,13034],{},"DB only",[375,13036,13037,13040,13043,13046,13049],{},[398,13038,13039],{},"数据源数",[398,13041,13042],{},"42+",[398,13044,13045],{},"1000+ SaaS",[398,13047,13048],{},"3300+ MCP server",[398,13050,13051],{},"~10",[375,13053,13054,13056,13059,13062,13064],{},[398,13055,12535],{},[398,13057,13058],{},"✅ 内置",[398,13060,13061],{},"N\u002FA",[398,13063,13061],{},[398,13065,429],{},[375,13067,13068,13071,13074,13077,13079],{},[398,13069,13070],{},"IAM",[398,13072,13073],{},"✅ OAuth2\u002FOIDC",[398,13075,13076],{},"✅ 托管 OAuth",[398,13078,429],{},[398,13080,429],{},[375,13082,13083,13085,13087,13089,13091],{},[398,13084,12547],{},[398,13086,476],{},[398,13088,1104],{},[398,13090,443],{},[398,13092,429],{},[375,13094,13095,13097,13100,13102,13104],{},[398,13096,12512],{},[398,13098,13099],{},"✅ tools.yaml",[398,13101,443],{},[398,13103,429],{},[398,13105,13106],{},"代码",[375,13108,13109,13112,13115,13118,13120],{},[398,13110,13111],{},"MCP 客户端",[398,13113,13114],{},"✅ 全部",[398,13116,13117],{},"✅ + LC\u002FCrewAI\u002FAutogen",[398,13119,12150],{},[398,13121,13122],{},"LC only",[375,13124,13125,13127,13129,13132,13134],{},[398,13126,8045],{},[398,13128,5855],{},[398,13130,13131],{},"❌ SaaS",[398,13133,443],{},[398,13135,426],{},[375,13137,13138,13140,13142,13144,13146],{},[398,13139,1156],{},[398,13141,707],{},[398,13143,12212],{},[398,13145,847],{},[398,13147,707],{},[375,13149,13150,13152,13155,13158,13161],{},[398,13151,509],{},[398,13153,13154],{},"DB 重度 \u002F GCP",[398,13156,13157],{},"多 SaaS",[398,13159,13160],{},"server 发现",[398,13162,13163],{},"LC quick demo",[25,13165,524],{"id":524},[40,13167,13168,13174,13180,13186,13192,13198,13209,13214,13220,13226],{},[43,13169,13170,13173],{},[46,13171,13172],{},"description 写清 schema","：LLM 靠 description 决策，写好 column 名 + 业务含义",[43,13175,13176,13179],{},[46,13177,13178],{},"参数化 SQL 必须用","：永远不要让 LLM 拼字符串",[43,13181,13182,13185],{},[46,13183,13184],{},"最小权限 DB user","：给 Agent 专用 user + 只读 \u002F 表级权限",[43,13187,13188,13191],{},[46,13189,13190],{},"OpenTelemetry 配上","：Cloud Trace 或 Grafana 接管，慢查询第一时间发现",[43,13193,13194,13197],{},[46,13195,13196],{},"冷门 source","：先看 prebuilt 工具够不够，不够要自己写",[43,13199,13200,13205,13206,13208],{},[46,13201,13202,13204],{},[208,13203,12576],{}," 调 tool","：上线前用 ",[208,13207,12576],{}," 把每个 tool 跑一遍",[43,13210,13211,13213],{},[46,13212,12287],{},"：GCR 镜像国内拉慢 → 推到 ACR \u002F 阿里云镜像服务",[43,13215,13216,13219],{},[46,13217,13218],{},"Spanner \u002F AlloyDB 锁定","：非 GCP 别选这两个 source",[43,13221,13222,13225],{},[46,13223,13224],{},"多 Agent 共享","：用 IAM scope 隔离 prod \u002F dev \u002F 团队",[43,13227,13228,13231],{},[46,13229,13230],{},"Java SDK 版本","：Spring Boot 项目锁定 toolbox-sdk-java 主版本号",[25,13233,578],{"id":577},[40,13235,13236,13239,13242,13245,13248,13251,13254,13257,13260],{},[43,13237,13238],{},"✅ 要 Agent 安全读写企业数据库",[43,13240,13241],{},"✅ GCP 重度（AlloyDB \u002F Spanner \u002F BigQuery）",[43,13243,13244],{},"✅ 多 Agent 框架（LC + ADK + Claude Desktop）共享数据访问层",[43,13246,13247],{},"✅ 合规 \u002F 审计 \u002F 多租户",[43,13249,13250],{},"✅ Spring Boot \u002F Java 企业栈（Java SDK）",[43,13252,13253],{},"❌ 纯 SaaS 集成（Composio）",[43,13255,13256],{},"❌ MCP server 发现（Smithery）",[43,13258,13259],{},"❌ 不引入 Docker\u002FGo binary 的极简部署",[43,13261,13262,13263],{},"❌ DB schema 频繁变动且不愿维护 ",[208,13264,12493],{},[25,13266,607],{"id":607},[40,13268,13269,13273,13277],{},[43,13270,13271],{},[613,13272,12340],{"href":11588},[43,13274,13275],{},[613,13276,6697],{"href":6117},[43,13278,13279],{},[613,13280,6687],{"href":6111},[25,13282,628],{"id":628},[630,13284,13285,13292,13299,13306,13313],{},[43,13286,13287,13288],{},"MCP Toolbox 官网 ",[613,13289,13290],{"href":13290,"rel":13291},"https:\u002F\u002Fmcp-toolbox.dev\u002F",[639],[43,13293,13294,13295],{},"GitHub googleapis\u002Fmcp-toolbox（前 genai-toolbox） ",[613,13296,13297],{"href":13297,"rel":13298},"https:\u002F\u002Fgithub.com\u002Fgoogleapis\u002Fmcp-toolbox",[639],[43,13300,13301,13302],{},"Google Cloud Blog — MCP Toolbox for Databases supports MCP ",[613,13303,13304],{"href":13304,"rel":13305},"https:\u002F\u002Fcloud.google.com\u002Fblog\u002Fproducts\u002Fai-machine-learning\u002Fmcp-toolbox-for-databases-now-supports-model-context-protocol",[639],[43,13307,13308,13309],{},"Google Cloud Blog — MCP Toolbox Java SDK 公告 ",[613,13310,13311],{"href":13311,"rel":13312},"https:\u002F\u002Fcloud.google.com\u002Fblog\u002Ftopics\u002Fdevelopers-practitioners\u002Fannouncing-the-mcp-toolbox-java-sdk",[639],[43,13314,13315,13316],{},"Google Codelabs — Install & Setup MCP Toolbox for AlloyDB ",[613,13317,13318],{"href":13318,"rel":13319},"https:\u002F\u002Fcodelabs.developers.google.com\u002Fgenai-toolbox-for-alloydb",[639],[662,13321,13322],{},"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":206,"searchDepth":254,"depth":254,"links":13324},[13325,13326,13327,13328,13329,13330,13331,13332,13333,13334],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":12613,"depth":228,"text":12614},{"id":12685,"depth":228,"text":12686},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[13338,13341,13344,13347],{"q":13339,"a":13340},"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":13342,"a":13343},"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":13345,"a":13346},"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":13348,"a":13349},"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],{},[1352,1351,1353],[13354,13356],{"plan":12598,"price":707,"features":13355,"notes":1910},"完整功能 + 42+ 数据源 + Python\u002FTS\u002FGo\u002FJava SDK + Docker + OpenTelemetry",{"plan":12604,"price":13357,"features":13358,"notes":13359},"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",[13363],{"name":13364,"url":13365},"Agent 数据库访问层选型","\u002Fplaybook\u002Fonboarding\u002Fagent-database-access-layer",{"power":268,"ux":254,"price":268,"cn_support":228,"stability":261},{"title":12103,"description":13336},"agent\u002Fprotocol\u002Fmcp-toolbox",[13370,13372,13374,13376,13378],{"name":13371,"url":13290,"accessed":731},"MCP Toolbox 官网",{"name":13373,"url":13297,"accessed":731},"GitHub googleapis\u002Fmcp-toolbox",{"name":13375,"url":13304,"accessed":731},"Google Cloud Blog — MCP Toolbox 公告",{"name":13377,"url":13311,"accessed":731},"Google Cloud Blog — Java SDK 公告",{"name":13379,"url":13318,"accessed":731},"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",[1397,12404,13383,13384,744,13385],"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。","HHOS3sOsgzko-acUJAIuYZey47zdXqa-g31uUwfb-9o",{"id":13389,"title":12100,"alternatives":13390,"api_compatible":20,"body":13394,"category":12404,"chinese_friendly":254,"cover":14071,"description":14072,"domestic":680,"extension":681,"faq":14073,"free":680,"github":14027,"languages":14086,"meta":14087,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":11588,"pillar":700,"platforms":14088,"priceTable":14089,"pricing":14105,"published":13361,"relatedPlaybooks":14106,"relatedReviews":20,"score":14110,"self_host":257,"seo":14111,"slug":14112,"sources":14113,"stem":14126,"suitable":20,"tagline":14127,"tags":14128,"updated":731,"verdict":14131,"website":14020,"__hash__":14132},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fsmithery.md",[13391,13392,13393],{"name":6116,"url":6117},{"name":11590,"url":11591},{"name":12,"url":13},{"type":22,"value":13395,"toc":14059},[13396,13398,13420,13423,13425,13497,13499,13522,13527,13531,13535,13566,13570,13596,13600,13722,13725,13727,13893,13895,13964,13966,13995,13997,14011,14013,14057],[25,13397,28],{"id":27},[30,13399,13400,13401,4577,13404,13407,13408,13411,13412,13415,13416,13419],{},"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：",[46,13402,13403],{},"一键 CLI 安装",[208,13405,13406],{},"npx @smithery\u002Fcli install \u003Cserver> --client claude"," 自动改配置文件）+ ",[46,13409,13410],{},"远程托管","（Smithery infra 跑 server，HTTP 直连，无需本地 Node.js）+ ",[46,13413,13414],{},"本地分发","（TypeScript bundle 一键 import）+ ",[46,13417,13418],{},"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）。",[30,13421,13422],{},"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）。",[25,13424,38],{"id":38},[40,13426,13427,13433,13441,13447,13453,13458,13463,13468,13473,13479,13485,13491],{},[43,13428,13429,13432],{},[46,13430,13431],{},"3300+ MCP server 注册中心","（业界最大之一）",[43,13434,13435,4917,13438],{},[46,13436,13437],{},"CLI 一键安装",[208,13439,13440],{},"npx @smithery\u002Fcli install \u003Cserver> --client \u003Cclaude\u002Fcursor\u002Fwindsurf\u002Fcline\u002Fcodex>",[43,13442,13443,13446],{},[46,13444,13445],{},"三种部署","：远程托管 \u002F 本地分发 \u002F 自托管注册",[43,13448,13449,13452],{},[46,13450,13451],{},"多客户端兼容","：Claude Desktop \u002F Cursor \u002F Windsurf \u002F Cline \u002F Codex \u002F Continue 等",[43,13454,13455],{},[46,13456,13457],{},"TypeScript SDK + Python SDK（FastMCP v1\u002Fv2）",[43,13459,13460],{},[46,13461,13462],{},"STDIO + HTTP 传输",[43,13464,13465],{},[46,13466,13467],{},"安全扫描 + 版本管理 + 依赖解析",[43,13469,13470],{},[46,13471,13472],{},"社区评分 + reviews",[43,13474,13475,13478],{},[46,13476,13477],{},"分类浏览","：Development \u002F Productivity \u002F Data \u002F APIs",[43,13480,13481,13484],{},[46,13482,13483],{},"server 发布平台","：开发者 publish 自己的 server",[43,13486,13487,13490],{},[46,13488,13489],{},"基础分析","：调用量 \u002F 错误率",[43,13492,13493,13496],{},[46,13494,13495],{},"CLI 跨平台","：Win \u002F macOS \u002F Linux",[25,13498,112],{"id":112},[40,13500,13501,13506,13511,13516],{},[43,13502,13503,13505],{},[46,13504,847],{},"：$0；浏览全部 + 10 安装额度",[43,13507,13508,13510],{},[46,13509,853],{},"：$19\u002Fmo；无限安装 + 自定义 server 托管 + 高级分析",[43,13512,13513,13515],{},[46,13514,871],{},"：$49\u002Fmo；SSO + 团队 server 注册",[43,13517,13518,13521],{},[46,13519,13520],{},"Hosted","：按用量；server 跑在 Smithery infra",[134,13523,13524],{},[30,13525,13526],{},"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』。",[25,13528,13530],{"id":13529},"实测claude-desktop-5-个-server","实测（Claude Desktop + 5 个 server）",[30,13532,13533],{},[46,13534,147],{},[40,13536,13537,13540,13547,13550,13553,13560,13563],{},[43,13538,13539],{},"装 PostgreSQL \u002F GitHub \u002F Filesystem \u002F Slack \u002F Playwright server 全部 \u003C 30 秒",[43,13541,13542,13543,13546],{},"CLI 自动改 ",[208,13544,13545],{},"claude_desktop_config.json","，不用手写 JSON",[43,13548,13549],{},"远程托管让低配 Mac 也能跑重型 server",[43,13551,13552],{},"server 详情页有 README + 评分 + 示例 prompt，决策成本低",[43,13554,13555,13556,13559],{},"多客户端切换无痛（",[208,13557,13558],{},"--client cursor"," 换个 flag）",[43,13561,13562],{},"自托管 + 注册让企业既享发现又控运行",[43,13564,13565],{},"3300+ server 业界最广，长尾需求基本能找到",[30,13567,13568],{},[46,13569,172],{},[40,13571,13572,13575,13578,13581,13584,13587,13590,13593],{},[43,13573,13574],{},"2025-06 path traversal 漏洞（已修复，但提示要审 server）",[43,13576,13577],{},"server 质量参差，需自己看 GitHub star + 维护活跃度",[43,13579,13580],{},"部分 server 文档浅，参数靠猜",[43,13582,13583],{},"远程托管 server 偶有冷启动延迟",[43,13585,13586],{},"创作者无 monetization（开源情怀）",[43,13588,13589],{},"本地分发当前 TypeScript only",[43,13591,13592],{},"国内访问 Smithery infra 偶发慢",[43,13594,13595],{},"Free 档 10 次安装上限对长期用户太紧",[25,13597,13599],{"id":13598},"上手5-分钟","上手（5 分钟）",[201,13601,13603],{"className":203,"code":13602,"language":205,"meta":206,"style":206},"# 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",[208,13604,13605,13610,13621,13625,13630,13639,13643,13648,13663,13667,13672,13686,13690,13695,13706,13710,13715],{"__ignoreMap":206},[211,13606,13607],{"class":213,"line":214},[211,13608,13609],{"class":264},"# 1. 安装 CLI\n",[211,13611,13612,13614,13616,13618],{"class":213,"line":228},[211,13613,1611],{"class":217},[211,13615,245],{"class":221},[211,13617,1616],{"class":231},[211,13619,13620],{"class":221}," @smithery\u002Fcli\n",[211,13622,13623],{"class":213,"line":254},[211,13624,258],{"emptyLinePlaceholder":257},[211,13626,13627],{"class":213,"line":261},[211,13628,13629],{"class":264},"# 2. 搜索\n",[211,13631,13632,13634,13637],{"class":213,"line":268},[211,13633,11587],{"class":217},[211,13635,13636],{"class":221}," search",[211,13638,12750],{"class":221},[211,13640,13641],{"class":213,"line":280},[211,13642,258],{"emptyLinePlaceholder":257},[211,13644,13645],{"class":213,"line":5},[211,13646,13647],{"class":264},"# 3. 装到 Claude Desktop\n",[211,13649,13650,13652,13654,13657,13660],{"class":213,"line":290},[211,13651,11587],{"class":217},[211,13653,245],{"class":221},[211,13655,13656],{"class":221}," @modelcontextprotocol\u002Fserver-postgres",[211,13658,13659],{"class":231}," --client",[211,13661,13662],{"class":221}," claude\n",[211,13664,13665],{"class":213,"line":324},[211,13666,258],{"emptyLinePlaceholder":257},[211,13668,13669],{"class":213,"line":329},[211,13670,13671],{"class":264},"# 4. 装到 Cursor\n",[211,13673,13674,13676,13678,13681,13683],{"class":213,"line":335},[211,13675,11587],{"class":217},[211,13677,245],{"class":221},[211,13679,13680],{"class":221}," @modelcontextprotocol\u002Fserver-filesystem",[211,13682,13659],{"class":231},[211,13684,13685],{"class":221}," cursor\n",[211,13687,13688],{"class":213,"line":347},[211,13689,258],{"emptyLinePlaceholder":257},[211,13691,13692],{"class":213,"line":358},[211,13693,13694],{"class":264},"# 5. 列出已装\n",[211,13696,13697,13699,13702,13704],{"class":213,"line":1680},[211,13698,11587],{"class":217},[211,13700,13701],{"class":221}," list",[211,13703,13659],{"class":231},[211,13705,13662],{"class":221},[211,13707,13708],{"class":213,"line":1686},[211,13709,258],{"emptyLinePlaceholder":257},[211,13711,13712],{"class":213,"line":1692},[211,13713,13714],{"class":264},"# 发布自己的 server\n",[211,13716,13717,13719],{"class":213,"line":1697},[211,13718,11587],{"class":217},[211,13720,13721],{"class":221}," publish\n",[30,13723,13724],{},"安装后重启 Claude \u002F Cursor \u002F Windsurf，MCP server 自动 spawn，模型即可调用。",[25,13726,367],{"id":367},[369,13728,13729,13747],{},[372,13730,13731],{},[375,13732,13733,13735,13737,13740,13743,13745],{},[378,13734,380],{},[378,13736,12100],{},[378,13738,13739],{},"官方 MCP Registry",[378,13741,13742],{},"mcp.so",[378,13744,11584],{},[378,13746,12103],{},[393,13748,13749,13768,13783,13797,13815,13831,13845,13860,13875],{},[375,13750,13751,13754,13757,13760,13763,13765],{},[398,13752,13753],{},"server 数",[398,13755,13756],{},"3300+",[398,13758,13759],{},"命名空间验证",[398,13761,13762],{},"大目录",[398,13764,13045],{},[398,13766,13767],{},"42+ DB",[375,13769,13770,13773,13775,13777,13779,13781],{},[398,13771,13772],{},"一键 CLI",[398,13774,1074],{},[398,13776,429],{},[398,13778,429],{},[398,13780,13061],{},[398,13782,13061],{},[375,13784,13785,13787,13789,13791,13793,13795],{},[398,13786,13410],{},[398,13788,1104],{},[398,13790,429],{},[398,13792,429],{},[398,13794,1104],{},[398,13796,8045],{},[375,13798,13799,13802,13805,13808,13810,13813],{},[398,13800,13801],{},"多客户端配置",[398,13803,13804],{},"✅ 自动",[398,13806,13807],{},"❌ 手动",[398,13809,429],{},[398,13811,13812],{},"LC\u002FCrewAI\u002FAutogen",[398,13814,1861],{},[375,13816,13817,13820,13822,13824,13826,13829],{},[398,13818,13819],{},"安全扫描",[398,13821,1104],{},[398,13823,429],{},[398,13825,429],{},[398,13827,13828],{},"沙箱",[398,13830,429],{},[375,13832,13833,13835,13837,13839,13841,13843],{},[398,13834,8045],{},[398,13836,1104],{},[398,13838,10050],{},[398,13840,429],{},[398,13842,429],{},[398,13844,1104],{},[375,13846,13847,13849,13851,13854,13856,13858],{},[398,13848,1156],{},[398,13850,847],{},[398,13852,13853],{},"Free OSS",[398,13855,847],{},[398,13857,12212],{},[398,13859,12217],{},[375,13861,13862,13865,13867,13869,13871,13873],{},[398,13863,13864],{},"创作者分成",[398,13866,429],{},[398,13868,429],{},[398,13870,429],{},[398,13872,429],{},[398,13874,429],{},[375,13876,13877,13879,13882,13885,13888,13890],{},[398,13878,509],{},[398,13880,13881],{},"日常装 \u002F 发现",[398,13883,13884],{},"命名空间权威",[398,13886,13887],{},"大目录浏览",[398,13889,13029],{},[398,13891,13892],{},"DB 网关",[25,13894,524],{"id":524},[40,13896,13897,13907,13917,13923,13929,13935,13941,13946,13952,13958],{},[43,13898,13899,13902,13903,13906],{},[46,13900,13901],{},"server 来源审查","：优先 ",[208,13904,13905],{},"@modelcontextprotocol\u002F*"," 等官方组织",[43,13908,13909,13912,13913,13916],{},[46,13910,13911],{},"锁定版本","：生产环境 ",[208,13914,13915],{},"--version"," 锁定，不要 latest",[43,13918,13919,13922],{},[46,13920,13921],{},"隔离 token","：每个 server 用独立 OAuth scope \u002F API key",[43,13924,13925,13928],{},[46,13926,13927],{},"filesystem server 路径限制","：明确白名单目录，避免 path traversal",[43,13930,13931,13934],{},[46,13932,13933],{},"远程托管延迟","：高频调用用本地；低频用 hosted 省心",[43,13936,13937,13940],{},[46,13938,13939],{},"重启客户端","：装完必须重启 Claude Desktop \u002F Cursor，否则不加载",[43,13942,13943,13945],{},[46,13944,12287],{},"：CLI 走 npm registry 国内偶发慢，用 cnpm \u002F 镜像",[43,13947,13948,13951],{},[46,13949,13950],{},"付费档","：Pro 主要换『无限安装 + 自定义 server hosting』，没此需求 Free 够",[43,13953,13954,13957],{},[46,13955,13956],{},"官方 Registry 双重发布","：发布到 Smithery 同时发到 modelcontextprotocol.io，覆盖更广",[43,13959,13960,13963],{},[46,13961,13962],{},"2025-06 漏洞","：CLI 升到最新版（已修复）",[25,13965,578],{"id":577},[40,13967,13968,13971,13974,13977,13980,13983,13986,13989,13992],{},[43,13969,13970],{},"✅ Claude Desktop \u002F Cursor \u002F Windsurf \u002F Cline \u002F Codex 用户",[43,13972,13973],{},"✅ 快速试 server 不愿手写 JSON",[43,13975,13976],{},"✅ MCP server 开发者要分发",[43,13978,13979],{},"✅ MCP 生态调研",[43,13981,13982],{},"✅ 团队共享 server 注册",[43,13984,13985],{},"❌ 极致安全 + 闭源（用官方 Registry \u002F 自建）",[43,13987,13988],{},"❌ 创作者要分成（Smithery 无 monetization）",[43,13990,13991],{},"❌ 非 TypeScript server 本地分发",[43,13993,13994],{},"❌ 完全离线 \u002F 内网（注册中心在公网）",[25,13996,607],{"id":607},[40,13998,13999,14003,14007],{},[43,14000,14001],{},[613,14002,6697],{"href":6117},[43,14004,14005],{},[613,14006,12345],{"href":11591},[43,14008,14009],{},[613,14010,615],{"href":13},[25,14012,628],{"id":628},[630,14014,14015,14022,14029,14036,14043,14050],{},[43,14016,14017,14018],{},"Smithery 官网 + Pricing ",[613,14019,14020],{"href":14020,"rel":14021},"https:\u002F\u002Fsmithery.ai",[639],[43,14023,14024,14025],{},"Smithery CLI GitHub ",[613,14026,14027],{"href":14027,"rel":14028},"https:\u002F\u002Fgithub.com\u002Fsmithery-ai\u002Fcli",[639],[43,14030,14031,14032],{},"winnoai — Smithery Review 2026 + 4.0\u002F5 + 108 reviews ",[613,14033,14034],{"href":14034,"rel":14035},"https:\u002F\u002Fwinnoai.com\u002Fen\u002Ftools\u002Fsmithery",[639],[43,14037,14038,14039],{},"MCPize — Smithery Complete Guide 2026 + 3305 server + path traversal 漏洞 ",[613,14040,14041],{"href":14041,"rel":14042},"https:\u002F\u002Fmcpize.com\u002Falternatives\u002Fsmithery",[639],[43,14044,14045,14046],{},"Augment Code — Official MCP Registry 对比 ",[613,14047,14048],{"href":14048,"rel":14049},"https:\u002F\u002Fwww.augmentcode.com\u002Fmcp\u002Fmcp-registry",[639],[43,14051,14052,14053],{},"CallSphere — MCP Registry Catalogs 2026 (Smithery vs mcp.so) ",[613,14054,14055],{"href":14055,"rel":14056},"https:\u002F\u002Fcallsphere.ai\u002Fblog\u002Fvw4g-mcp-registry-catalogs-smithery-mcp-so-comparison-2026",[639],[662,14058,9641],{},{"title":206,"searchDepth":254,"depth":254,"links":14060},[14061,14062,14063,14064,14065,14066,14067,14068,14069,14070],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":13529,"depth":228,"text":13530},{"id":13598,"depth":228,"text":13599},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[14074,14077,14080,14083],{"q":14075,"a":14076},"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":14078,"a":14079},"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":14081,"a":14082},"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":14084,"a":14085},"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],{},[1352,1351,1353,704],[14090,14093,14097,14101],{"plan":847,"price":707,"features":14091,"notes":14092},"浏览全部 server + 10 安装额度 + 基础分析 + 社区支持","学习 \u002F 试水",{"plan":853,"price":14094,"features":14095,"notes":14096},"$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":871,"price":14098,"features":14099,"notes":14100},"$49\u002Fmo","团队管理 + 共享 server 注册 + SSO + 专属支持","团队部署",{"plan":13520,"price":14102,"features":14103,"notes":14104},"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",[14107],{"name":14108,"url":14109},"MCP server 选型与安装 SOP","\u002Fplaybook\u002Fonboarding\u002Fmcp-server-selection",{"power":261,"ux":261,"price":268,"cn_support":254,"stability":254},{"title":12100,"description":14072},"agent\u002Fprotocol\u002Fsmithery",[14114,14116,14118,14120,14122,14124],{"name":14115,"url":14020,"accessed":731},"Smithery 官网",{"name":14117,"url":14027,"accessed":731},"Smithery CLI GitHub",{"name":14119,"url":14034,"accessed":731},"winnoai — Smithery Review 2026 + 4.0\u002F5 + 108",{"name":14121,"url":14041,"accessed":731},"MCPize — Smithery Complete Guide 2026",{"name":14123,"url":14048,"accessed":731},"Augment Code — Official MCP Registry",{"name":14125,"url":14055,"accessed":731},"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",[1397,12404,14129,14130,744],"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。","UHhUFNFgrJVRUTGLlEZEJu9Zc3sbIT8xBbXCj-dWo7c",{"id":14134,"title":14135,"alternatives":14136,"api_compatible":20,"body":14144,"category":14801,"chinese_friendly":254,"cover":14802,"description":14803,"domestic":680,"extension":681,"faq":14804,"free":680,"github":20,"languages":14817,"meta":14818,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":14819,"pillar":700,"platforms":14820,"priceTable":14821,"pricing":14836,"published":13361,"relatedPlaybooks":14837,"relatedReviews":20,"score":14841,"self_host":680,"seo":14842,"slug":14843,"sources":14844,"stem":14857,"suitable":20,"tagline":14858,"tags":14859,"updated":731,"verdict":14861,"website":14749,"__hash__":14862},"tools\u002Ftools\u002Fagent\u002Fskills\u002Fclaude-skills.md","Claude Skills",[14137,14140,14143],{"name":14138,"url":14139},"cursor-rules-hub","\u002Ftools\u002Fagent\u002Fskills\u002Fcursor-rules-hub",{"name":14141,"url":14142},"gpt-store","\u002Ftools\u002Fagent\u002Fskills\u002Fgpt-store",{"name":12,"url":13},{"type":22,"value":14145,"toc":14789},[14146,14148,14167,14170,14172,14252,14254,14285,14290,14294,14298,14324,14328,14354,14358,14364,14369,14457,14460,14462,14622,14624,14691,14693,14722,14724,14740,14742,14786],[25,14147,28],{"id":27},[30,14149,14150,14151,14154,14155,14158,14159,14162,14163,14166],{},"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 ",[46,14152,14153],{},"Claude Marketplace","（B2B 企业版『App Store』，首批 Snowflake \u002F GitLab \u002F Harvey AI \u002F Replit \u002F Rogo \u002F Lovable Labs，Anthropic ",[46,14156,14157],{},"零佣金","），构成 Anthropic 在 Agent 能力分发上的双层架构：(1) ",[46,14160,14161],{},"协议层","：SKILL.md 跨 Claude \u002F Cursor \u002F Codex CLI \u002F Windsurf \u002F Copilot \u002F MCP 兼容工具；(2) ",[46,14164,14165],{},"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。",[30,14168,14169],{},"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）。",[25,14171,38],{"id":38},[40,14173,14174,14180,14186,14200,14206,14212,14217,14223,14228,14234,14240,14246],{},[43,14175,14176,14179],{},[46,14177,14178],{},"SKILL.md 协议","：一个目录 = 一个 Skill，YAML frontmatter + Markdown 步骤",[43,14181,14182,14185],{},[46,14183,14184],{},"按需加载","：Claude 看到匹配任务才注入，不污染 context",[43,14187,14188,4917,14191,4815,14194,4815,14197],{},[46,14189,14190],{},"支持脚本 + 模板 + 参考",[208,14192,14193],{},"scripts\u002F",[208,14195,14196],{},"templates\u002F",[208,14198,14199],{},"references\u002F",[43,14201,14202,14205],{},[46,14203,14204],{},"触发条件","：description + 关键词，Claude 自主判断",[43,14207,14208,14211],{},[46,14209,14210],{},"跨工具开放","：SKILL.md 标准跑在 Cursor \u002F Codex CLI \u002F Windsurf \u002F Copilot \u002F MCP",[43,14213,14214,14216],{},[46,14215,14153],{},"（2026-03）：企业承诺额度采购第三方 Claude 软件，零佣金",[43,14218,14219,14222],{},[46,14220,14221],{},"首批合作伙伴","：Snowflake \u002F GitLab \u002F Harvey AI \u002F Replit \u002F Rogo \u002F Lovable Labs",[43,14224,14225,14227],{},[46,14226,11670],{},"：SSO \u002F audit \u002F 私有 Skills \u002F 高 context",[43,14229,14230,14233],{},[46,14231,14232],{},"Claude Code 集成","：Claude Code 自带 skill 系统",[43,14235,14236,14239],{},[46,14237,14238],{},"社区共享","：GitHub + skills-hub.ai 等聚合（4400+ rules\u002Fskills）",[43,14241,14242,14245],{},[46,14243,14244],{},"可 git 版本化","：Skill 就是代码仓库",[43,14247,14248,14251],{},[46,14249,14250],{},"diff \u002F review 友好","：能力变更走 PR 流程",[25,14253,112],{"id":112},[40,14255,14256,14262,14268,14274,14280],{},[43,14257,14258,14261],{},[46,14259,14260],{},"Claude Free","：$0",[43,14263,14264,14267],{},[46,14265,14266],{},"Claude Pro","：$20\u002Fmo（个人 Skills 库）",[43,14269,14270,14273],{},[46,14271,14272],{},"Claude Team","：$30\u002Fseat\u002Fmo（团队共享）",[43,14275,14276,14279],{},[46,14277,14278],{},"Claude Enterprise","：联系销售（SSO + audit + 私有）",[43,14281,14282,14284],{},[46,14283,14153],{},"：承诺额度抵扣，Anthropic 零佣金",[134,14286,14287],{},[30,14288,14289],{},"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。",[25,14291,14293],{"id":14292},"实测claude-code-自定义-skill","实测（Claude Code + 自定义 Skill）",[30,14295,14296],{},[46,14297,147],{},[40,14299,14300,14303,14306,14309,14312,14315,14318,14321],{},[43,14301,14302],{},"5 分钟写一个 deploy-to-vercel skill，Claude 看到『部署』自动加载",[43,14304,14305],{},"按需加载比 .cursorrules 全局注入省 30-50% token",[43,14307,14308],{},"Skill 可附 scripts + templates + references，复杂任务一站式",[43,14310,14311],{},"SKILL.md 标准在 Cursor \u002F Codex CLI 也能消费，跨工具复用",[43,14313,14314],{},"Claude Marketplace 让企业采购 AI 软件不用走 procurement",[43,14316,14317],{},"Snowflake \u002F GitLab \u002F Harvey AI 等大客户背书 = 生态正在成熟",[43,14319,14320],{},"git diff 友好，PR review 能力变更",[43,14322,14323],{},"社区已有 skills-hub.ai 等聚合，4400+ rules\u002Fskills 可选",[30,14325,14326],{},[46,14327,172],{},[40,14329,14330,14333,14336,14339,14342,14345,14348,14351],{},[43,14331,14332],{},"SKILL.md 协议官方文档仍在演化，cutting-edge feature 偶有 breaking change",[43,14334,14335],{},"触发逻辑黑盒——Skill 偶尔不被加载，要靠 description 关键词调优",[43,14337,14338],{},"中文 SKILL.md 触发偶发漏，关键词加英文 fallback 更稳",[43,14340,14341],{},"Claude Marketplace 当前 limited preview，国内企业暂无法采购",[43,14343,14344],{},"国内访问 Claude 仍受限，需正规渠道",[43,14346,14347],{},"Skill 之间冲突时优先级文档不清",[43,14349,14350],{},"企业 audit log 在 Pro 档不全",[43,14352,14353],{},"跨工具兼容性差异：Cursor 对 globs 友好，Codex 对 always-attached 友好",[25,14355,14357],{"id":14356},"上手5-分钟写一个-skill","上手（5 分钟写一个 Skill）",[201,14359,14362],{"className":14360,"code":14361,"language":4958},[4956],"my-skills\u002F\n  deploy-to-vercel\u002F\n    SKILL.md\n    scripts\u002F\n      deploy.sh\n    templates\u002F\n      vercel.json\n",[208,14363,14361],{"__ignoreMap":206},[30,14365,14366,4917],{},[208,14367,14368],{},"SKILL.md",[201,14370,14374],{"className":14371,"code":14372,"language":14373,"meta":206,"style":206},"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",[208,14375,14376,14381,14386,14391,14396,14400,14404,14409,14414,14418,14423,14428,14433,14438,14442,14447,14452],{"__ignoreMap":206},[211,14377,14378],{"class":213,"line":214},[211,14379,14380],{},"---\n",[211,14382,14383],{"class":213,"line":228},[211,14384,14385],{},"name: deploy-to-vercel\n",[211,14387,14388],{"class":213,"line":254},[211,14389,14390],{},"description: Deploy a Nuxt \u002F Next project to Vercel production\n",[211,14392,14393],{"class":213,"line":261},[211,14394,14395],{},"triggers: [\"deploy to vercel\", \"部署到 Vercel\", \"vercel prod\"]\n",[211,14397,14398],{"class":213,"line":268},[211,14399,14380],{},[211,14401,14402],{"class":213,"line":280},[211,14403,258],{"emptyLinePlaceholder":257},[211,14405,14406],{"class":213,"line":5},[211,14407,14408],{},"## When to use\n",[211,14410,14411],{"class":213,"line":290},[211,14412,14413],{},"User asks to deploy a Nuxt\u002FNext project to Vercel production.\n",[211,14415,14416],{"class":213,"line":324},[211,14417,258],{"emptyLinePlaceholder":257},[211,14419,14420],{"class":213,"line":329},[211,14421,14422],{},"## Steps\n",[211,14424,14425],{"class":213,"line":335},[211,14426,14427],{},"1. Verify `vercel.json` exists (use `templates\u002Fvercel.json` if missing).\n",[211,14429,14430],{"class":213,"line":347},[211,14431,14432],{},"2. Run `pnpm build && vercel --prod`.\n",[211,14434,14435],{"class":213,"line":358},[211,14436,14437],{},"3. Return deployment URL + log tail.\n",[211,14439,14440],{"class":213,"line":1680},[211,14441,258],{"emptyLinePlaceholder":257},[211,14443,14444],{"class":213,"line":1686},[211,14445,14446],{},"## Pitfalls\n",[211,14448,14449],{"class":213,"line":1692},[211,14450,14451],{},"- 不要在 dev server 运行时 build（FSWatcher 冲突）。\n",[211,14453,14454],{"class":213,"line":1697},[211,14455,14456],{},"- 检查 `NUXT_PUBLIC_*` 环境变量是否在 Vercel project 配置。\n",[30,14458,14459],{},"Claude 看到『部署到 Vercel』自动加载这个 Skill 并按 Steps 执行。",[25,14461,367],{"id":367},[369,14463,14464,14481],{},[372,14465,14466],{},[375,14467,14468,14470,14472,14475,14478],{},[378,14469,380],{},[378,14471,14135],{},[378,14473,14474],{},"Cursor Rules",[378,14476,14477],{},"GPT Custom GPT",[378,14479,14480],{},"LangChain Tool",[393,14482,14483,14500,14515,14531,14547,14561,14574,14591,14606],{},[375,14484,14485,14488,14491,14494,14497],{},[398,14486,14487],{},"加载方式",[398,14489,14490],{},"按需",[398,14492,14493],{},"全局注入",[398,14495,14496],{},"永久驻留",[398,14498,14499],{},"代码注册",[375,14501,14502,14505,14508,14511,14513],{},[398,14503,14504],{},"context 污染",[398,14506,14507],{},"低",[398,14509,14510],{},"高",[398,14512,4301],{},[398,14514,13061],{},[375,14516,14517,14520,14523,14526,14529],{},[398,14518,14519],{},"跨工具",[398,14521,14522],{},"✅ SKILL.md 标准",[398,14524,14525],{},"Cursor only",[398,14527,14528],{},"ChatGPT only",[398,14530,13122],{},[375,14532,14533,14536,14539,14541,14544],{},[398,14534,14535],{},"写法",[398,14537,14538],{},"Markdown",[398,14540,14538],{},[398,14542,14543],{},"图形 + 自然语言",[398,14545,14546],{},"Python",[375,14548,14549,14552,14554,14556,14559],{},[398,14550,14551],{},"模板 + 脚本",[398,14553,1104],{},[398,14555,429],{},[398,14557,14558],{},"Knowledge 文件",[398,14560,13106],{},[375,14562,14563,14566,14568,14570,14572],{},[398,14564,14565],{},"git 友好",[398,14567,1104],{},[398,14569,1104],{},[398,14571,429],{},[398,14573,1104],{},[375,14575,14576,14579,14582,14585,14588],{},[398,14577,14578],{},"企业分发",[398,14580,14581],{},"✅ Marketplace",[398,14583,14584],{},"团队同步",[398,14586,14587],{},"GPT Store",[398,14589,14590],{},"自建",[375,14592,14593,14595,14598,14601,14604],{},[398,14594,1156],{},[398,14596,14597],{},"$20\u002Fmo",[398,14599,14600],{},"Cursor $20\u002Fmo",[398,14602,14603],{},"ChatGPT Plus $20",[398,14605,12598],{},[375,14607,14608,14610,14613,14616,14619],{},[398,14609,509],{},[398,14611,14612],{},"Claude + 跨工具",[398,14614,14615],{},"Cursor 项目",[398,14617,14618],{},"C 端 GPT",[398,14620,14621],{},"LC 项目",[25,14623,524],{"id":524},[40,14625,14626,14632,14638,14644,14650,14656,14668,14674,14679,14685],{},[43,14627,14628,14631],{},[46,14629,14630],{},"description 写关键词","：中文 + 英文 + 同义词都列，提高触发率",[43,14633,14634,14637],{},[46,14635,14636],{},"Skill 粒度","：一个 Skill 解决一类任务，过粗 \u002F 过细都降效",[43,14639,14640,14643],{},[46,14641,14642],{},"triggers 字段","：明确高频触发词，减少黑盒",[43,14645,14646,14649],{},[46,14647,14648],{},"scripts 幂等","：可重跑不副作用",[43,14651,14652,14655],{},[46,14653,14654],{},"templates 完整","：让 Skill 自给自足，不依赖外部",[43,14657,14658,14661,14662,4815,14665,7400],{},[46,14659,14660],{},"冲突优先级","：同类 Skill 用不同 name 前缀（",[208,14663,14664],{},"vercel-",[208,14666,14667],{},"netlify-",[43,14669,14670,14673],{},[46,14671,14672],{},"企业 audit","：Pro 档 audit 不全，要 Enterprise",[43,14675,14676,14678],{},[46,14677,12287],{},"：Claude 走正规渠道；Marketplace 暂时国内不可用",[43,14680,14681,14684],{},[46,14682,14683],{},"跨工具发布","：用 skills-hub.ai 等聚合分发到 Cursor \u002F Codex",[43,14686,14687,14690],{},[46,14688,14689],{},"不要藏密钥","：SKILL.md 仓库 review 时容易泄露",[25,14692,578],{"id":577},[40,14694,14695,14698,14701,14704,14707,14710,14713,14716,14719],{},[43,14696,14697],{},"✅ Claude Code \u002F Claude Desktop 用户",[43,14699,14700],{},"✅ 要写一份能力跑多工具",[43,14702,14703],{},"✅ 团队 Agent 工作流共享",[43,14705,14706],{},"✅ 企业有 Anthropic 承诺额度",[43,14708,14709],{},"✅ 能力 git 版本化 + PR review",[43,14711,14712],{},"❌ 纯非 Claude 栈 + 不学 SKILL.md",[43,14714,14715],{},"❌ C 端 monetize（GPT Store）",[43,14717,14718],{},"❌ 100% 闭源 + 完全自托管",[43,14720,14721],{},"❌ 不写 Markdown 的非技术用户",[25,14723,607],{"id":607},[40,14725,14726,14731,14736],{},[43,14727,14728],{},[613,14729,14730],{"href":14139},"Cursor Rules Hub 评测",[43,14732,14733],{},[613,14734,14735],{"href":14142},"GPT Store 评测",[43,14737,14738],{},[613,14739,615],{"href":13},[25,14741,628],{"id":628},[630,14743,14744,14751,14758,14765,14772,14779],{},[43,14745,14746,14747],{},"Claude Skills 官方文档 ",[613,14748,14749],{"href":14749,"rel":14750},"https:\u002F\u002Fdocs.anthropic.com\u002Fen\u002Fdocs\u002Fagents\u002Fskills",[639],[43,14752,14753,14754],{},"TNW — Anthropic launches marketplace 2026-03-07（零佣金、Snowflake\u002FHarvey\u002FReplit） ",[613,14755,14756],{"href":14756,"rel":14757},"https:\u002F\u002Fthenextweb.com\u002Fnews\u002Fanthropic-marketplace-claude-enterprise-software",[639],[43,14759,14760,14761],{},"DigitalCommerce360 — Anthropic launches Claude B2B marketplace 2026-03-16 ",[613,14762,14763],{"href":14763,"rel":14764},"https:\u002F\u002Fwww.digitalcommerce360.com\u002F2026\u002F03\u002F16\u002Fanthropic-launches-claude-b2b-marketplace-enterprise-ai-applications",[639],[43,14766,14767,14768],{},"SaaSSentinel — Marketplace launched 2026-03-06（首批 6 partners + $14B run-rate） ",[613,14769,14770],{"href":14770,"rel":14771},"https:\u002F\u002Fsaassentinel.com\u002F2026\u002F03\u002F07\u002Fanthropic-launches-claude-marketplace-to-streamline-enterprise-ai-procurement",[639],[43,14773,14774,14775],{},"SiliconANGLE — Claude Marketplace 第三方云服务 ",[613,14776,14777],{"href":14777,"rel":14778},"https:\u002F\u002Fsiliconangle.com\u002F2026\u002F03\u002F06\u002Fanthropic-launches-claude-marketplace-third-party-cloud-services",[639],[43,14780,14781,14782],{},"skills-hub.ai — Cursor rules vs Skills 对比 + SKILL.md 跨工具 + 4400+ 库 ",[613,14783,14784],{"href":14784,"rel":14785},"https:\u002F\u002Fskills-hub.ai\u002Fcursor-rules",[639],[662,14787,14788],{},"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":206,"searchDepth":254,"depth":254,"links":14790},[14791,14792,14793,14794,14795,14796,14797,14798,14799,14800],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":14292,"depth":228,"text":14293},{"id":14356,"depth":228,"text":14357},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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）。",[14805,14808,14811,14814],{"q":14806,"a":14807},"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":14809,"a":14810},"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":14812,"a":14813},"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":14815,"a":14816},"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",[704,1352,1351,1353],[14822,14824,14826,14830,14832],{"plan":14260,"price":707,"features":14823,"notes":3956},"基础 Claude + 公共 Skills",{"plan":14266,"price":14597,"features":14825,"notes":14096},"全模型 + 个人 Skills 库 + Projects",{"plan":14272,"price":14827,"features":14828,"notes":14829},"$30\u002Fseat","团队共享 Skills + 协作 + 集中计费","5-200 人团队",{"plan":14278,"price":7929,"features":14831,"notes":11011},"SSO + audit + 私有 Skills + 高 context",{"plan":14153,"price":14833,"features":14834,"notes":14835},"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",[14838],{"name":14839,"url":14840},"Agent 能力分发：SKILL.md \u002F .cursorrules \u002F GPT 选型","\u002Fplaybook\u002Fonboarding\u002Fagent-skill-distribution",{"power":268,"ux":261,"price":261,"cn_support":254,"stability":261},{"title":14135,"description":14803},"agent\u002Fskills\u002Fclaude-skills",[14845,14847,14849,14851,14853,14855],{"name":14846,"url":14749,"accessed":731},"Claude Skills 官方文档",{"name":14848,"url":14756,"accessed":731},"TNW — Anthropic launches Marketplace 2026-03-07",{"name":14850,"url":14763,"accessed":731},"DigitalCommerce360 — Claude B2B marketplace",{"name":14852,"url":14770,"accessed":731},"SaaSSentinel — Anthropic Marketplace launched 2026-03-06",{"name":14854,"url":14777,"accessed":731},"SiliconANGLE — Claude Marketplace 第三方云服务",{"name":14856,"url":14784,"accessed":731},"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，企业一站式分发",[14801,14860,1400,1398,14130,1397],"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。","dw7goyjElHDqNwVZ3vD6s5efAQqOiXbFKlHPq7_87b0",{"id":14864,"title":14865,"alternatives":14866,"api_compatible":20,"body":14873,"category":14801,"chinese_friendly":254,"cover":15576,"description":15577,"domestic":680,"extension":681,"faq":15578,"free":680,"github":15533,"languages":15591,"meta":15592,"models":20,"navigation":257,"notSuitable":20,"opensource":257,"path":14139,"pillar":700,"platforms":15593,"priceTable":15594,"pricing":7898,"published":13361,"relatedPlaybooks":15604,"relatedReviews":20,"score":15608,"self_host":680,"seo":15609,"slug":15610,"sources":15611,"stem":15624,"suitable":20,"tagline":15625,"tags":15626,"updated":731,"verdict":15630,"website":15526,"__hash__":15631},"tools\u002Ftools\u002Fagent\u002Fskills\u002Fcursor-rules-hub.md","Cursor Rules Hub",[14867,14869,14870],{"name":14868,"url":14819},"claude-skills",{"name":14141,"url":14142},{"name":14871,"url":14872},"cursor","\u002Ftools\u002Fcoding\u002Fide\u002Fcursor",{"type":22,"value":14874,"toc":15564},[14875,14877,14912,14915,14917,14996,14998,15012,15016,15020,15050,15054,15094,15098,15103,15109,15114,15186,15191,15248,15250,15386,15388,15468,15470,15499,15501,15517,15519,15562],[25,14876,28],{"id":27},[30,14878,14879,14880,14883,14884,14887,14888,14891,14892,14895,14896,14899,14900,14903,14904,14907,14908,14911],{},"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) ",[46,14881,14882],{},"cursor.directory","（官方风格目录，浏览 + 复制）；(2) ",[46,14885,14886],{},"awesome-cursorrules","（PatrickJS 维护的 GitHub 大目录，PR 投稿）；(3) ",[46,14889,14890],{},"skills-hub.ai","（4400+ rules+skills + ",[208,14893,14894],{},"npx @skills-hub-ai\u002Fcli install"," 一键装 + ",[208,14897,14898],{},".skills.json"," lockfile + 安全扫描 + 兼容 SKILL.md 跨工具）。2026 重大变化：Cursor 官方推荐 ",[208,14901,14902],{},".cursor\u002Frules\u002F*.mdc","（多文件 + globs scope + 四种激活模式）取代 legacy ",[208,14905,14906],{},".cursorrules","；同时要警惕 Cursor 3.1.x ",[208,14909,14910],{},"alwaysApply: true"," 偶发不生效 bug。",[30,14913,14914],{},"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）。",[25,14916,38],{"id":38},[40,14918,14919,14924,14929,14937,14943,14948,14954,14960,14969,14975,14980,14990],{},[43,14920,14921,14923],{},[46,14922,14882],{},"：官方风格浏览 + 复制 + 框架\u002F语言\u002F角色分类",[43,14925,14926,14928],{},[46,14927,14886],{},"：GitHub 大目录 + 24K+ star + PR 投稿",[43,14930,14931,4917,14934],{},[46,14932,14933],{},"skills-hub.ai CLI",[208,14935,14936],{},"npx @skills-hub-ai\u002Fcli install \u003Cslug> --target cursor",[43,14938,14939,14942],{},[46,14940,14941],{},"lockfile（.skills.json）","：团队复现同版本 rules",[43,14944,14945,14947],{},[46,14946,13819],{},"：自动检测 rules 中的危险指令",[43,14949,14950,14953],{},[46,14951,14952],{},"SKILL.md 跨工具","：同一 skill 跑 Cursor \u002F Codex CLI \u002F Windsurf \u002F Copilot \u002F MCP",[43,14955,14956,14959],{},[46,14957,14958],{},"格式自动适配","：CLI 按项目结构选 .cursorrules 或 .mdc",[43,14961,14962,4917,14965,14968],{},[46,14963,14964],{},"bundle",[208,14966,14967],{},"full-stack-dev-kit"," 等组合包一键装多 rule",[43,14970,14971,14974],{},[46,14972,14973],{},"4400+ rules + 90+ 来源","（Anthropic \u002F Microsoft \u002F Google \u002F Vercel \u002F Stripe \u002F Cloudflare \u002F Trail of Bits \u002F Prisma \u002F Supabase）",[43,14976,14977],{},[46,14978,14979],{},"质量分 + 安全分 + 上游 GitHub 链接",[43,14981,14982,14985,14986,14989],{},[46,14983,14984],{},"路径 scope","：.mdc 用 globs 字段限定 ",[208,14987,14988],{},"apps\u002Fweb\u002F**"," 等",[43,14991,14992,14995],{},[46,14993,14994],{},"四种激活模式","：Always \u002F Auto Attached \u002F Agent Requested \u002F Manual",[25,14997,112],{"id":112},[40,14999,15000,15009],{},[43,15001,15002,4815,15004,4815,15006,15008],{},[46,15003,14882],{},[46,15005,14886],{},[46,15007,14890],{}," 全部 $0",[43,15010,15011],{},"skills-hub.ai 后续可能推付费企业 feature（私有 registry \u002F SSO），当前免费",[25,15013,15015],{"id":15014},"实测nuxt-4-typescript-项目","实测（Nuxt 4 + TypeScript 项目）",[30,15017,15018],{},[46,15019,147],{},[40,15021,15022,15025,15028,15031,15038,15041,15044,15047],{},[43,15023,15024],{},"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",[43,15026,15027],{},"lockfile 让团队复现同样 rules，新人开箱即用",[43,15029,15030],{},".mdc + globs 让 monorepo apps\u002Fweb 和 packages\u002Fapi 用不同规则",[43,15032,15033,15034,15037],{},"安全扫描发现一个 rule 里有 ",[208,15035,15036],{},"rm -rf"," 指令，及时拦截",[43,15039,15040],{},"SKILL.md 格式让同一规范跨 Cursor + Codex CLI 复用",[43,15042,15043],{},"4400+ rules 长尾需求基本能找到（Elixir \u002F Phoenix \u002F OCaml 都有）",[43,15045,15046],{},"90+ 来源含 Anthropic \u002F Vercel \u002F Stripe 等权威组织 = 信任度高",[43,15048,15049],{},"PR 流程让自家规范也能贡献回社区",[30,15051,15052],{},[46,15053,172],{},[40,15055,15056,15062,15065,15068,15078,15081,15084,15087],{},[43,15057,15058,15059,15061],{},"Cursor 3.1.x ",[208,15060,14910],{}," 偶发降级，要 forum 跟踪 + 双重保险",[43,15063,15064],{},"部分社区 rule 已过时（react 旧 hook 写法）",[43,15066,15067],{},"长 rule 每次对话消耗 token，建议 \u003C 500 字 \u002F 拆 skill",[43,15069,15070,15071,15073,15074,15077],{},"legacy ",[208,15072,14906],{}," 与 ",[208,15075,15076],{},".mdc"," 并存时优先级不清",[43,15079,15080],{},"中文 rule 数量少，主要英文",[43,15082,15083],{},"skills-hub.ai 是新项目，长期维护待观察",[43,15085,15086],{},"bundle 安装会装一堆可能用不到的 rule，要 review",[43,15088,15089,15090,15093],{},"Windsurf 有 ",[208,15091,15092],{},".windsurfrules","，rule 格式略不同要兼容",[25,15095,15097],{"id":15096},"上手3-种方式","上手（3 种方式）",[30,15099,15100],{},[46,15101,15102],{},"方式 1：cursor.directory 复制粘贴",[201,15104,15107],{"className":15105,"code":15106,"language":4958},[4956],"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",[208,15108,15106],{"__ignoreMap":206},[30,15110,15111],{},[46,15112,15113],{},"方式 2：skills-hub.ai CLI（推荐）",[201,15115,15117],{"className":203,"code":15116,"language":205,"meta":206,"style":206},"# 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",[208,15118,15119,15124,15142,15146,15151,15166,15170,15175],{"__ignoreMap":206},[211,15120,15121],{"class":213,"line":214},[211,15122,15123],{"class":264},"# 装一个 rule\n",[211,15125,15126,15129,15132,15134,15137,15140],{"class":213,"line":228},[211,15127,15128],{"class":217},"npx",[211,15130,15131],{"class":221}," @skills-hub-ai\u002Fcli",[211,15133,245],{"class":221},[211,15135,15136],{"class":221}," code-review",[211,15138,15139],{"class":231}," --target",[211,15141,13685],{"class":221},[211,15143,15144],{"class":213,"line":254},[211,15145,258],{"emptyLinePlaceholder":257},[211,15147,15148],{"class":213,"line":261},[211,15149,15150],{"class":264},"# 装一个 bundle\n",[211,15152,15153,15155,15157,15159,15162,15164],{"class":213,"line":268},[211,15154,15128],{"class":217},[211,15156,15131],{"class":221},[211,15158,245],{"class":221},[211,15160,15161],{"class":221}," full-stack-dev-kit",[211,15163,15139],{"class":231},[211,15165,13685],{"class":221},[211,15167,15168],{"class":213,"line":280},[211,15169,258],{"emptyLinePlaceholder":257},[211,15171,15172],{"class":213,"line":5},[211,15173,15174],{"class":264},"# 团队复现\n",[211,15176,15177,15179,15181,15183],{"class":213,"line":290},[211,15178,15128],{"class":217},[211,15180,15131],{"class":221},[211,15182,245],{"class":221},[211,15184,15185],{"class":264},"   # 读 .skills.json lockfile\n",[30,15187,15188],{},[46,15189,15190],{},"方式 3：手写 .mdc + globs",[201,15192,15194],{"className":14371,"code":15193,"language":14373,"meta":206,"style":206},"---\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",[208,15195,15196,15200,15205,15210,15215,15220,15225,15229,15233,15238,15243],{"__ignoreMap":206},[211,15197,15198],{"class":213,"line":214},[211,15199,14380],{},[211,15201,15202],{"class":213,"line":228},[211,15203,15204],{},"description: Nuxt 4 + UnoCSS 项目规范\n",[211,15206,15207],{"class":213,"line":254},[211,15208,15209],{},"globs:\n",[211,15211,15212],{"class":213,"line":261},[211,15213,15214],{},"  - apps\u002Fweb\u002F**\n",[211,15216,15217],{"class":213,"line":268},[211,15218,15219],{},"  - components\u002F**\n",[211,15221,15222],{"class":213,"line":280},[211,15223,15224],{},"alwaysApply: true\n",[211,15226,15227],{"class":213,"line":5},[211,15228,14380],{},[211,15230,15231],{"class":213,"line":290},[211,15232,258],{"emptyLinePlaceholder":257},[211,15234,15235],{"class":213,"line":324},[211,15236,15237],{},"使用 Composition API + setup script。\n",[211,15239,15240],{"class":213,"line":329},[211,15241,15242],{},"禁止 axios，用 $fetch \u002F useFetch。\n",[211,15244,15245],{"class":213,"line":335},[211,15246,15247],{},"组件命名 PascalCase，文件名 kebab-case。\n",[25,15249,367],{"id":367},[369,15251,15252,15266],{},[372,15253,15254],{},[375,15255,15256,15258,15260,15262,15264],{},[378,15257,380],{},[378,15259,14882],{},[378,15261,14886],{},[378,15263,14890],{},[378,15265,14135],{},[393,15267,15268,15285,15301,15313,15325,15340,15356,15369],{},[375,15269,15270,15273,15276,15279,15282],{},[398,15271,15272],{},"收录",[398,15274,15275],{},"数百",[398,15277,15278],{},"数百 + GitHub PR",[398,15280,15281],{},"4400+ + 90 来源",[398,15283,15284],{},"Anthropic + 社区",[375,15286,15287,15290,15293,15295,15298],{},[398,15288,15289],{},"CLI 一键装",[398,15291,15292],{},"❌ 复制粘贴",[398,15294,15292],{},[398,15296,15297],{},"✅ + lockfile",[398,15299,15300],{},"claude code 内置",[375,15302,15303,15305,15307,15309,15311],{},[398,15304,13819],{},[398,15306,429],{},[398,15308,429],{},[398,15310,1104],{},[398,15312,443],{},[375,15314,15315,15317,15319,15321,15323],{},[398,15316,14519],{},[398,15318,14525],{},[398,15320,14525],{},[398,15322,14522],{},[398,15324,1104],{},[375,15326,15327,15330,15333,15335,15338],{},[398,15328,15329],{},"团队复现",[398,15331,15332],{},"手动",[398,15334,15332],{},[398,15336,15337],{},"✅ lockfile",[398,15339,218],{},[375,15341,15342,15345,15347,15350,15353],{},[398,15343,15344],{},"质量分",[398,15346,429],{},[398,15348,15349],{},"star 数",[398,15351,15352],{},"✅ + 上游链接",[398,15354,15355],{},"reviews",[375,15357,15358,15360,15362,15364,15366],{},[398,15359,112],{},[398,15361,847],{},[398,15363,847],{},[398,15365,847],{},[398,15367,15368],{},"Claude 订阅",[375,15370,15371,15374,15377,15380,15383],{},[398,15372,15373],{},"推荐场景",[398,15375,15376],{},"quick start",[398,15378,15379],{},"学写法",[398,15381,15382],{},"团队 \u002F 生产",[398,15384,15385],{},"跨工具能力",[25,15387,524],{"id":524},[40,15389,15390,15396,15406,15412,15418,15430,15438,15444,15456,15462],{},[43,15391,15392,15395],{},[46,15393,15394],{},"新项目用 .mdc","：legacy .cursorrules 仅向后兼容",[43,15397,15398,15403,15404],{},[46,15399,15400,15402],{},[208,15401,14910],{}," 双重保险","：Cursor 3.1.x bug 期间也复制到 ",[208,15405,14906],{},[43,15407,15408,15411],{},[46,15409,15410],{},"rule 长度控制","：单 rule \u003C 500 字，超出拆 skill",[43,15413,15414,15417],{},[46,15415,15416],{},"scope 用 globs","：monorepo 必须 path scope，避免规则相互污染",[43,15419,15420,15422,15423,4815,15426,15429],{},[46,15421,13819],{},"：装 rule 前 review，警惕 ",[208,15424,15425],{},"rm",[208,15427,15428],{},"curl | sh"," 等危险指令",[43,15431,15432,4917,15435,15437],{},[46,15433,15434],{},"lockfile 进版本控制",[208,15436,14898],{}," 提交 git，团队复现",[43,15439,15440,15443],{},[46,15441,15442],{},"过时 rule","：定期 review，框架版本升级要同步",[43,15445,15446,15449,15450,15452,15453,15455],{},[46,15447,15448],{},"Windsurf 兼容","：双格式（",[208,15451,14906],{}," + ",[208,15454,15092],{},"）or 用 skills-hub 自动适配",[43,15457,15458,15461],{},[46,15459,15460],{},"中文 rule 短缺","：自己写常用栈 + 提交 PR 回社区",[43,15463,15464,15467],{},[46,15465,15466],{},"bundle 慎用","：bundle 装多 rule，review 后裁剪",[25,15469,578],{"id":577},[40,15471,15472,15475,15478,15481,15484,15487,15490,15493,15496],{},[43,15473,15474],{},"✅ Cursor \u002F Windsurf 用户",[43,15476,15477],{},"✅ 想让 AI 遵守项目规范",[43,15479,15480],{},"✅ monorepo \u002F 多栈项目",[43,15482,15483],{},"✅ 团队复现 + 安全扫描",[43,15485,15486],{},"✅ 想学别人写 rules",[43,15488,15489],{},"❌ 纯非 Cursor 栈（用 SKILL.md）",[43,15491,15492],{},"❌ 极简单文件项目（手写即可）",[43,15494,15495],{},"❌ 完全保密 + 自定 rules 引擎",[43,15497,15498],{},"❌ 不愿引入 npm CLI 的零 Node 项目",[25,15500,607],{"id":607},[40,15502,15503,15508,15512],{},[43,15504,15505],{},[613,15506,15507],{"href":14819},"Claude Skills 评测",[43,15509,15510],{},[613,15511,14735],{"href":14142},[43,15513,15514],{},[613,15515,15516],{"href":14872},"Cursor 评测",[25,15518,628],{"id":628},[630,15520,15521,15528,15535,15542,15548,15555],{},[43,15522,15523,15524],{},"cursor.directory 官方风格目录 ",[613,15525,15526],{"href":15526,"rel":15527},"https:\u002F\u002Fcursor.directory\u002F",[639],[43,15529,15530,15531],{},"awesome-cursorrules GitHub ",[613,15532,15533],{"href":15533,"rel":15534},"https:\u002F\u002Fgithub.com\u002FPatrickJS\u002Fawesome-cursorrules",[639],[43,15536,15537,15538],{},"Cursor 官方文档 — Rules（.mdc 格式 + 四种激活模式） ",[613,15539,15540],{"href":15540,"rel":15541},"https:\u002F\u002Fdocs.cursor.com\u002Fen\u002Fcontext\u002Frules",[639],[43,15543,15544,15545],{},"skills-hub.ai — 4400+ rules + CLI + lockfile + SKILL.md 跨工具 ",[613,15546,14784],{"href":14784,"rel":15547},[639],[43,15549,15550,15551],{},"Cursor Forum — Cursor 3.1.x alwaysApply: true 不生效 bug 2026-04 ",[613,15552,15553],{"href":15553,"rel":15554},"https:\u002F\u002Fforum.cursor.com\u002Ft\u002Fcursor-rules-not-getting-applied\u002F158740",[639],[43,15556,15557,15558],{},"DCMvn — Configuring Rules & Docs（含 Rule 类型详解表） ",[613,15559,15560],{"href":15560,"rel":15561},"https:\u002F\u002Fdiggtvu.github.io\u002FpyDCMvnDocs\u002Fdocs\u002Ffeatures\u002Fconfiguring-rules-docs",[639],[662,15563,9641],{},{"title":206,"searchDepth":254,"depth":254,"links":15565},[15566,15567,15568,15569,15570,15571,15572,15573,15574,15575],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":15014,"depth":228,"text":15015},{"id":15096,"depth":228,"text":15097},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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。",[15579,15582,15585,15588],{"q":15580,"a":15581},"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":15583,"a":15584},".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":15586,"a":15587},"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":15589,"a":15590},"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],{},[704,1352,1351,1353],[15595,15598,15601],{"plan":14882,"price":707,"features":15596,"notes":15597},"浏览 + 复制 .cursorrules 模板","经典入口",{"plan":14886,"price":707,"features":15599,"notes":15600},"GitHub 大目录 + PR 投稿","社区起源",{"plan":14890,"price":707,"features":15602,"notes":15603},"4400+ rules+skills + CLI 一键装 + lockfile + 安全扫描 + SKILL.md 跨工具","2026 推荐",[15605],{"name":15606,"url":15607},"Cursor Rules \u002F .mdc \u002F Skills 选型与避坑","\u002Fplaybook\u002Fonboarding\u002Fcursor-rules-mdc-selection",{"power":254,"ux":261,"price":268,"cn_support":254,"stability":254},{"title":14865,"description":15577},"agent\u002Fskills\u002Fcursor-rules-hub",[15612,15614,15616,15618,15620,15622],{"name":15613,"url":15526,"accessed":731},"cursor.directory（官方风格目录）",{"name":15615,"url":15533,"accessed":731},"awesome-cursorrules GitHub",{"name":15617,"url":15540,"accessed":731},"Cursor 官方文档 — Rules",{"name":15619,"url":14784,"accessed":731},"skills-hub.ai — 4400+ rules + CLI + lockfile",{"name":15621,"url":15553,"accessed":731},"Cursor Forum — alwaysApply bug 2026-04",{"name":15623,"url":15560,"accessed":731},"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",[15627,14801,15628,14130,15629],"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。","LnZm5f0rJY0iwuXFVP4WFP2YmhM-NL7BSjWTpXuDovQ",{"id":15633,"title":15634,"alternatives":15635,"api_compatible":20,"body":15642,"category":14801,"chinese_friendly":261,"cover":16194,"description":16195,"domestic":680,"extension":681,"faq":16196,"free":680,"github":20,"languages":16209,"meta":16210,"models":20,"navigation":257,"notSuitable":20,"opensource":680,"path":14142,"pillar":700,"platforms":16211,"priceTable":16212,"pricing":16222,"published":13361,"relatedPlaybooks":16223,"relatedReviews":20,"score":16227,"self_host":680,"seo":16228,"slug":16229,"sources":16230,"stem":16241,"suitable":20,"tagline":16242,"tags":16243,"updated":731,"verdict":16246,"website":16152,"__hash__":16247},"tools\u002Ftools\u002Fagent\u002Fskills\u002Fgpt-store.md","OpenAI GPT Store",[15636,15637,15638,15640],{"name":14868,"url":14819},{"name":14138,"url":14139},{"name":15639,"url":7610},"coze",{"name":15641,"url":8631},"dify",{"type":22,"value":15643,"toc":16182},[15644,15646,15677,15680,15682,15757,15759,15784,15789,15793,15797,15823,15827,15859,15863,15869,15871,16029,16031,16090,16092,16121,16123,16143,16145],[25,15645,28],{"id":27},[30,15647,15648,15649,15652,15653,15656,15657,15660,15661,15664,15665,15668,15669,15672,15673,15676],{},"OpenAI GPT Store 是 ChatGPT 内置的 Custom GPT 市场（2024-01 上线），2026 年已有 ",[46,15650,15651],{},"300 万+ Custom GPT","。GPT Builder 让非技术用户用自然语言搭建：",[46,15654,15655],{},"Instructions","（人格 + 行为）\u002F ",[46,15658,15659],{},"Knowledge","（最多 20 文件 PDF \u002F Excel \u002F Code）\u002F ",[46,15662,15663],{},"Actions","（OpenAPI + OAuth 调外部 API）\u002F ",[46,15666,15667],{},"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：",[46,15670,15671],{},"B2B 内部 GPT 咨询","（$5K-20K\u002F项目 + $1K-5K\u002F月）或 ",[46,15674,15675],{},"GPT 当 top-of-funnel"," 引流自家 SaaS。",[30,15678,15679],{},"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。",[25,15681,38],{"id":38},[40,15683,15684,15689,15695,15700,15705,15710,15715,15721,15727,15733,15739,15745,15751],{},[43,15685,15686,15688],{},[46,15687,15651],{},"（业内最大 C 端 Agent 市场）",[43,15690,15691,15694],{},[46,15692,15693],{},"GPT Builder","：自然语言搭建 + 实时预览 + 双模式（对话 \u002F 高级编辑器）",[43,15696,15697,15699],{},[46,15698,15655],{},"：人格 + 行为 + 边界（plain English）",[43,15701,15702,15704],{},[46,15703,15659],{},"：最多 20 文件（PDF \u002F Excel \u002F Code \u002F 文档）",[43,15706,15707,15709],{},[46,15708,15663],{},"：OpenAPI 3.x + API Key \u002F OAuth 2.0",[43,15711,15712,15714],{},[46,15713,15667],{},"：DALL-E 3 \u002F Code Interpreter \u002F Web Browsing",[43,15716,15717,15720],{},[46,15718,15719],{},"GPT-5.2 模型","（最新）",[43,15722,15723,15726],{},[46,15724,15725],{},"Discovery","：自然语言搜索 + 周榜 trending + 类别 + Staff Picks",[43,15728,15729,15732],{},[46,15730,15731],{},"直接链接分享","：可外部分享 GPT URL",[43,15734,15735,15738],{},[46,15736,15737],{},"Revenue Sharing","：engagement-based + 美国地区 + verified creator",[43,15740,15741,15744],{},[46,15742,15743],{},"多语言","：界面 + 中文 GPT 数量丰富",[43,15746,15747,15750],{},[46,15748,15749],{},"GPT 互联","（2026 新）：Agentic Workflows 允许 GPT 调 GPT",[43,15752,15753,15756],{},[46,15754,15755],{},"企业 SSO + 数据不训练","（Enterprise）",[25,15758,112],{"id":112},[40,15760,15761,15767,15772,15778],{},[43,15762,15763,15766],{},[46,15764,15765],{},"ChatGPT Free","：$0（GPT Store 限制访问）",[43,15768,15769,15771],{},[46,15770,4218],{},"：$20\u002Fmo（全 GPT Store + Builder + GPT-5.2）",[43,15773,15774,15777],{},[46,15775,15776],{},"ChatGPT Team","：$30\u002Fseat\u002Fmo（团队共享 GPT）",[43,15779,15780,15783],{},[46,15781,15782],{},"ChatGPT Enterprise","：联系销售（SSO + audit + 私有 GPT）",[134,15785,15786],{},[30,15787,15788],{},"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。",[25,15790,15792],{"id":15791},"实测搭-发布-跑流量","实测（搭 + 发布 + 跑流量）",[30,15794,15795],{},[46,15796,147],{},[40,15798,15799,15802,15805,15808,15811,15814,15817,15820],{},[43,15800,15801],{},"GPT Builder 5 分钟从『描述需求』到『可用 GPT』",[43,15803,15804],{},"Knowledge 上传 PDF 后立刻可问（不需 RAG 工程）",[43,15806,15807],{},"Actions OAuth 让 GPT 代用户操作 Notion \u002F Linear 等",[43,15809,15810],{},"ChatGPT 内置分发 = 0 获客成本",[43,15812,15813],{},"中文 GPT 数量已经很多，本地化没问题",[43,15815,15816],{},"适合 B2B 顾问：客户已有 ChatGPT Team \u002F Enterprise，内部 GPT 落地快",[43,15818,15819],{},"Agentic Workflows（GPT 调 GPT）打开新场景",[43,15821,15822],{},"DALL-E 3 + Code Interpreter 开箱可用",[30,15824,15825],{},[46,15826,172],{},[40,15828,15829,15832,15835,15838,15841,15844,15847,15850,15853,15856],{},[43,15830,15831],{},"Revenue Sharing 不透明：~$0.03\u002F会话，月 $1K 需 33K+ 会话",[43,15833,15834],{},"90%+ 创作者月入 $100-500，全职靠 GPT Store 难",[43,15836,15837],{},"顶部 0.01% 占大部分分成，长尾几乎没钱",[43,15839,15840],{},"仅美国 verified creator 能进主分成池",[43,15842,15843],{},"横向工具 GPT（PDF 总结）竞争惨烈",[43,15845,15846],{},"Plus 用户 Actions 配额 \u002F 限速紧",[43,15848,15849],{},"国内无 ChatGPT 订阅 = 用户 \u002F 创作者双重壁垒",[43,15851,15852],{},"Knowledge 20 文件上限 + 总大小限制",[43,15854,15855],{},"复杂工作流（多步骤 \u002F 条件分支）不如 Coze \u002F Dify",[43,15857,15858],{},"数据落 OpenAI 服务器（Plus）合规敏感",[25,15860,15862],{"id":15861},"上手搭一个法律合同-gpt","上手（搭一个法律合同 GPT）",[201,15864,15867],{"className":15865,"code":15866,"language":4958},[4956],"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",[208,15868,15866],{"__ignoreMap":206},[25,15870,367],{"id":367},[369,15872,15873,15887],{},[372,15874,15875],{},[375,15876,15877,15879,15881,15883,15885],{},[378,15878,380],{},[378,15880,14587],{},[378,15882,6795],{},[378,15884,7195],{},[378,15886,14153],{},[393,15888,15889,15906,15921,15938,15954,15968,15981,15998,16014],{},[375,15890,15891,15894,15897,15900,15903],{},[398,15892,15893],{},"数量",[398,15895,15896],{},"300 万+",[398,15898,15899],{},"数十万",[398,15901,15902],{},"数万 + 自托管",[398,15904,15905],{},"6 partners（preview）",[375,15907,15908,15910,15913,15916,15919],{},[398,15909,1115],{},[398,15911,15912],{},"GPT-5.2 only",[398,15914,15915],{},"豆包 \u002F DeepSeek \u002F Qwen",[398,15917,15918],{},"全开放",[398,15920,1837],{},[375,15922,15923,15926,15929,15932,15935],{},[398,15924,15925],{},"发布渠道",[398,15927,15928],{},"ChatGPT 内",[398,15930,15931],{},"飞书 \u002F 微信 \u002F 抖音",[398,15933,15934],{},"API \u002F Web \u002F 自部署",[398,15936,15937],{},"企业承诺额度",[375,15939,15940,15942,15945,15948,15951],{},[398,15941,940],{},[398,15943,15944],{},"极低（自然语言）",[398,15946,15947],{},"极低（拖拽）",[398,15949,15950],{},"中（开发者）",[398,15952,15953],{},"高（企业采购）",[375,15955,15956,15958,15961,15963,15965],{},[398,15957,15663],{},[398,15959,15960],{},"✅ OpenAPI + OAuth",[398,15962,1104],{},[398,15964,1104],{},[398,15966,15967],{},"企业集成",[375,15969,15970,15972,15975,15977,15979],{},[398,15971,7226],{},[398,15973,15974],{},"❌（Enterprise 私有 GPT）",[398,15976,429],{},[398,15978,1104],{},[398,15980,8022],{},[375,15982,15983,15986,15989,15992,15995],{},[398,15984,15985],{},"Revenue",[398,15987,15988],{},"engagement 分成 + 不透明",[398,15990,15991],{},"流量分成",[398,15993,15994],{},"自建商业",[398,15996,15997],{},"零佣金 + 承诺额度",[375,15999,16000,16002,16005,16008,16011],{},[398,16001,509],{},[398,16003,16004],{},"C 端 + Plus 用户",[398,16006,16007],{},"国内 C\u002FB",[398,16009,16010],{},"开发者 \u002F 企业",[398,16012,16013],{},"大企业采购",[375,16015,16016,16018,16021,16023,16026],{},[398,16017,1156],{},[398,16019,16020],{},"$20\u002Fmo Plus",[398,16022,847],{},[398,16024,16025],{},"OSS \u002F Cloud",[398,16027,16028],{},"企业合同",[25,16030,524],{"id":524},[40,16032,16033,16039,16045,16050,16056,16062,16068,16073,16078,16084],{},[43,16034,16035,16038],{},[46,16036,16037],{},"不要靠分成全职","：B2B 咨询 + SaaS 引流才是钱",[43,16040,16041,16044],{},[46,16042,16043],{},"垂直 niche","：legal-tech \u002F financial \u002F medical 等专业领域 > 通用工具",[43,16046,16047,16049],{},[46,16048,15675],{},"：免费 GPT 引流到自家 SaaS（Stripe 计费）",[43,16051,16052,16055],{},[46,16053,16054],{},"Actions 鉴权","：OAuth 优先，API Key 仅低敏感",[43,16057,16058,16061],{},[46,16059,16060],{},"Knowledge 20 文件","：精选 RAG quality 高的，不要堆数量",[43,16063,16064,16067],{},[46,16065,16066],{},"Instructions 边界","：明确『不能做什么』，避免 jailbreak",[43,16069,16070,16072],{},[46,16071,12287],{},"：Plus 订阅需正规海外支付 + 稳定网络",[43,16074,16075,16077],{},[46,16076,8208],{},"：敏感数据用 Enterprise（数据不训练），不要用 Plus",[43,16079,16080,16083],{},[46,16081,16082],{},"starter prompts 优化","：好的 starter prompts 提高 engagement",[43,16085,16086,16089],{},[46,16087,16088],{},"持续运营","：GPT 也要『版本更新 + 用户反馈』，不是发布即结束",[25,16091,578],{"id":577},[40,16093,16094,16097,16100,16103,16106,16109,16112,16115,16118],{},[43,16095,16096],{},"✅ ChatGPT Plus \u002F Team \u002F Enterprise 用户",[43,16098,16099],{},"✅ 非技术用户搭定制助手",[43,16101,16102],{},"✅ C 端流量入口 + SaaS 引流",[43,16104,16105],{},"✅ B2B 顾问做企业内部 GPT",[43,16107,16108],{},"✅ 快速验证 Agent 创意",[43,16110,16111],{},"❌ 靠 GPT Store 直接全职 monetize",[43,16113,16114],{},"❌ 要私有部署 + 全模型（Coze \u002F Dify）",[43,16116,16117],{},"❌ 国内无 ChatGPT 订阅",[43,16119,16120],{},"❌ 复杂多步骤工作流",[25,16122,607],{"id":607},[40,16124,16125,16129,16133,16138],{},[43,16126,16127],{},[613,16128,15507],{"href":14819},[43,16130,16131],{},[613,16132,14730],{"href":14139},[43,16134,16135],{},[613,16136,16137],{"href":7610},"Coze 评测",[43,16139,16140],{},[613,16141,16142],{"href":8631},"Dify 评测",[25,16144,628],{"id":628},[630,16146,16147,16154,16161,16168,16175],{},[43,16148,16149,16150],{},"ChatGPT GPT Store ",[613,16151,16152],{"href":16152,"rel":16153},"https:\u002F\u002Fchat.openai.com\u002Fgpts",[639],[43,16155,16156,16157],{},"Digital Applied — GPT Store Business Guide 2026（~$0.03\u002F会话 + B2B reality check） ",[613,16158,16159],{"href":16159,"rel":16160},"https:\u002F\u002Fwww.digitalapplied.com\u002Fblog\u002Fgpt-store-custom-gpts-business-guide-2026",[639],[43,16162,16163,16164],{},"Singularity Moments — OpenAI Custom GPTs Guide 2026（3M+ GPT + GPT Builder 详解） ",[613,16165,16166],{"href":16166,"rel":16167},"https:\u002F\u002Fsingularitymoments.com\u002Fopenai-custom-gpts-guide-2026\u002F",[639],[43,16169,16170,16171],{},"GPT Store Revenue Case Studies 2026（engagement 分成 + 垂直 niche） ",[613,16172,16173],{"href":16173,"rel":16174},"https:\u002F\u002Fgptstorerevenueprogram.com\u002Fgpt-store-revenue-case-studies-what-we-know-so-far",[639],[43,16176,16177,16178],{},"VentureBeat — OpenAI launches GPT Store 2024-01 ",[613,16179,16180],{"href":16180,"rel":16181},"https:\u002F\u002Fventurebeat.com\u002Fai\u002Fopenai-launches-gpt-store-but-revenue-sharing-is-still-to-come",[639],{"title":206,"searchDepth":254,"depth":254,"links":16183},[16184,16185,16186,16187,16188,16189,16190,16191,16192,16193],{"id":27,"depth":228,"text":28},{"id":38,"depth":228,"text":38},{"id":112,"depth":228,"text":112},{"id":15791,"depth":228,"text":15792},{"id":15861,"depth":228,"text":15862},{"id":367,"depth":228,"text":367},{"id":524,"depth":228,"text":524},{"id":577,"depth":228,"text":578},{"id":607,"depth":228,"text":607},{"id":628,"depth":228,"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』。",[16197,16200,16203,16206],{"q":16198,"a":16199},"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":16201,"a":16202},"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":16204,"a":16205},"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":16207,"a":16208},"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],{},[704,3950,702],[16213,16215,16217,16220],{"plan":15765,"price":707,"features":16214,"notes":3956},"基础 ChatGPT 但 GPT Store 限制访问",{"plan":4218,"price":14597,"features":16216,"notes":14096},"全 GPT Store 访问 + GPT Builder + GPT-5.2 + DALL-E + 代码解释器",{"plan":15776,"price":14827,"features":16218,"notes":16219},"团队共享 GPT + 集中计费 + 高 context","5+ 人团队",{"plan":15782,"price":7929,"features":16221,"notes":11011},"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",[16224],{"name":16225,"url":16226},"Custom GPT 商业化与 B2B 落地","\u002Fplaybook\u002Fonboarding\u002Fcustom-gpt-monetization",{"power":261,"ux":268,"price":254,"cn_support":261,"stability":261},{"title":15634,"description":16195},"agent\u002Fskills\u002Fgpt-store",[16231,16233,16235,16237,16239],{"name":16232,"url":16152,"accessed":731},"ChatGPT GPT Store",{"name":16234,"url":16159,"accessed":731},"Digital Applied — GPT Store Business Guide 2026（含 ~$0.03\u002F会话）",{"name":16236,"url":16166,"accessed":731},"Singularity Moments — Custom GPTs Guide 2026（3M+ GPT）",{"name":16238,"url":16173,"accessed":731},"GPT Store Revenue Case Studies 2026",{"name":16240,"url":16180,"accessed":731},"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",[14141,14801,14130,8661,16244,16245],"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。","yerti9Bf9xKB712juLcpq1QTgZNoGGU4P3R7oR7EDyI",{"tools":4,"reviews":5,"playbooks":329,"news":290},1782316491329]