[{"data":1,"prerenderedAt":5440},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-\u002Ftools\u002Fagent\u002Fdesktop\u002Fopen-interpreter":8,"tool-related-agent\u002Fdesktop\u002Fopen-interpreter":564,"tool-reviews-agent\u002Fdesktop\u002Fopen-interpreter":565,"cat-rank-agent-desktop":566,"tool-alts-agent\u002Fdesktop\u002Fopen-interpreter":3735},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},22,{"id":9,"title":10,"alternatives":11,"api_compatible":15,"body":16,"category":527,"chinese_friendly":516,"cover":528,"description":529,"domestic":530,"extension":531,"faq":15,"free":530,"github":508,"languages":532,"lastVerified":534,"meta":535,"models":15,"navigation":536,"notSuitable":15,"opensource":536,"path":537,"pillar":538,"platforms":539,"priceTable":15,"pricing":543,"published":544,"relatedPlaybooks":15,"relatedReviews":15,"score":545,"self_host":530,"seo":548,"seoTitle":549,"slug":550,"sources":551,"stem":554,"suitable":15,"tagline":555,"tags":556,"updated":534,"verdict":562,"website":500,"__hash__":563},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopen-interpreter.md","Open Interpreter",[12,13,14],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fgeneral\u002Fopenmanus","agent\u002Fdesktop\u002Fopenclaw",null,{"type":17,"value":18,"toc":511},"minimark",[19,24,33,36,39,96,99,102,106,116,121,144,149,169,172,210,213,348,351,402,406,435,439,445,451,461,467,470,486,489,494],[20,21,23],"h2",{"id":22},"tldr","TL;DR",[25,26,27,28,32],"p",{},"Open Interpreter 是一个开源的本地代码执行 Agent（AGPL 协议），让 LLM 直接在你的终端里写代码、跑代码、读写文件、执行系统命令、操控浏览器。它不像 ChatGPT 那样在沙箱里跑代码——它在你真实的机器上执行，有完整的系统权限。支持 GPT-4 \u002F Claude \u002F 本地模型（Ollama \u002F LM Studio），Python 实现，",[29,30,31],"code",{},"pip install"," 即用。",[25,34,35],{},"适合：技术用户做本地自动化（批量文件处理、数据分析、系统管理）、探索性编程（让 AI 跑代码看结果再迭代）、原型开发。不适合：生产环境（稳定性不够）、非技术用户（安全风险高）、敏感数据环境（LLM 能读你所有文件）、商业闭源项目（AGPL 传染性协议）。",[20,37,38],{"id":38},"核心能力",[40,41,42,50,56,62,68,74,80,90],"ul",{},[43,44,45,49],"li",{},[46,47,48],"strong",{},"本地代码执行","：LLM 生成 Python \u002F JS \u002F Shell 代码，直接在你的机器上跑，看到真实输出",[43,51,52,55],{},[46,53,54],{},"文件系统操作","：读写文件、创建目录、搜索文件内容、批量重命名，完整的文件系统访问",[43,57,58,61],{},[46,59,60],{},"系统命令执行","：跑任意 shell 命令——安装软件、配置环境、管理进程、操作系统",[43,63,64,67],{},[46,65,66],{},"浏览器控制","：通过 Playwright \u002F Selenium 操控浏览器，自动化网页操作、数据抓取",[43,69,70,73],{},[46,71,72],{},"多模型支持","：OpenAI \u002F Anthropic \u002F Google \u002F Ollama \u002F LM Studio \u002F 任何 OpenAI 兼容端点",[43,75,76,79],{},[46,77,78],{},"交互式 REPL","：终端对话式交互，自然语言描述任务，Agent 自主分解 + 执行 + 反馈",[43,81,82,85,86,89],{},[46,83,84],{},"执行确认机制","：每步代码执行前可选确认（",[29,87,88],{},"--auto_run"," 跳过），防止误操作",[43,91,92,95],{},[46,93,94],{},"多语言执行","：不限于 Python——JS、Shell、R、Ruby 等按需切换",[20,97,98],{"id":98},"价格",[25,100,101],{},"完全免费，AGPL-3.0 开源。成本在于 LLM API 调用费（用 GPT-4 \u002F Claude）或本地模型硬件成本（用 Ollama 免费）。",[20,103,105],{"id":104},"体验与评测资料整理","体验与评测（资料整理）",[107,108,109],"blockquote",{},[25,110,111,112,115],{},"说明：本节基于官方文档与公开评测整理，非本站独立实测环境，具体数据请以官方为准。\n",[46,113,114],{},"典型场景","：自动化文件处理、数据分析、本地脚本执行等任务（配云 API 或本地 Ollama 均可，硬件门槛低）。",[25,117,118],{},[46,119,120],{},"亮点：",[40,122,123,129,132,135,138,141],{},[43,124,125,128],{},[29,126,127],{},"interpreter"," 一行启动，配 API key 即用，对话式交互体验流畅",[43,130,131],{},"让它「把这个文件夹所有 CSV 合并去重，按日期排序，生成图表」——写 Python → 跑 → 看报错 → 改 → 再跑，全自主完成",[43,133,134],{},"文件操作强——搜索、批量重命名、格式转换，比手写脚本快",[43,136,137],{},"数据分析场景好用——让它读 Excel、清洗数据、画 matplotlib 图，迭代式探索很方便",[43,139,140],{},"配 Ollama 本地模型完全离线运行，隐私敏感任务不碰云",[43,142,143],{},"浏览器自动化——让它打开网页、填表、截图，比手动写 Playwright 脚本快",[25,145,146],{},[46,147,148],{},"踩坑：",[40,150,151,154,157,160,163,166],{},[43,152,153],{},"安全风险是最大问题——LLM 能跑任意命令，一次让它「清理临时文件」差点删了项目目录，幸好有确认机制拦住",[43,155,156],{},"稳定性一般——复杂任务偶尔死循环（反复跑失败代码）、MCP 连接断开、进程卡死",[43,158,159],{},"长任务上下文丢失——对话太长后 Agent 忘记前面的指令，需要手动提醒",[43,161,162],{},"本地模型效果有限——Qwen3 7B 能做简单任务，复杂逻辑推理要上 Claude \u002F GPT-4",[43,164,165],{},"AGPL 协议限制商业使用——如果你在公司用且分发，要注意开源传染性问题",[43,167,168],{},"Windows 路径问题——部分 Shell 命令在 Windows 有兼容性 bug，Mac \u002F Linux 更稳",[20,170,171],{"id":171},"上手",[173,174,175,181,192,198,201,207],"ol",{},[43,176,177,178],{},"安装：",[29,179,180],{},"pip install open-interpreter",[43,182,183,184,187,188,191],{},"配模型：",[29,185,186],{},"interpreter --model claude-3-5-sonnet","（或 ",[29,189,190],{},"--model ollama\u002Fqwen3-coder:7b"," 用本地）",[43,193,194,195,197],{},"启动：",[29,196,127],{}," 进入交互式 REPL",[43,199,200],{},"描述任务：「把 ~\u002FDownloads 所有图片转成 webp，压缩到 80% 质量」",[43,202,203,204,206],{},"确认执行——每步代码执行前会提示确认（开发阶段别开 ",[29,205,88],{},"）",[43,208,209],{},"进阶：配自定义工具 \u002F MCP server 扩展 Agent 能力",[20,211,212],{"id":212},"对比",[214,215,216,237],"table",{},[217,218,219],"thead",{},[220,221,222,226,228,231,234],"tr",{},[223,224,225],"th",{},"维度",[223,227,10],{},[223,229,230],{},"Claude Desktop",[223,232,233],{},"OpenManus",[223,235,236],{},"Devika",[238,239,240,257,274,289,303,317,333],"tbody",{},[220,241,242,246,249,252,255],{},[243,244,245],"td",{},"形态",[243,247,248],{},"CLI",[243,250,251],{},"Desktop App",[243,253,254],{},"Web",[243,256,254],{},[220,258,259,262,265,268,271],{},[243,260,261],{},"开源",[243,263,264],{},"✅ AGPL",[243,266,267],{},"❌",[243,269,270],{},"✅ Apache 2.0",[243,272,273],{},"✅ MIT",[220,275,276,279,282,285,287],{},[243,277,278],{},"代码执行",[243,280,281],{},"✅ 本地真实",[243,283,284],{},"✅ 沙箱",[243,286,284],{},[243,288,284],{},[220,290,291,293,296,299,301],{},[243,292,66],{},[243,294,295],{},"✅",[243,297,298],{},"✅ Computer Use",[243,300,295],{},[243,302,295],{},[220,304,305,308,311,313,315],{},[243,306,307],{},"本地模型",[243,309,310],{},"✅ Ollama",[243,312,267],{},[243,314,295],{},[243,316,295],{},[220,318,319,322,325,328,331],{},[243,320,321],{},"安全性",[243,323,324],{},"⚠️ 低（真实执行）",[243,326,327],{},"✅ 高（沙箱）",[243,329,330],{},"✅ 高",[243,332,330],{},[220,334,335,338,341,344,346],{},[243,336,337],{},"稳定性",[243,339,340],{},"中",[243,342,343],{},"高",[243,345,340],{},[243,347,340],{},[20,349,350],{"id":350},"避坑",[40,352,353,362,372,378,384,390,396],{},[43,354,355,358,359,361],{},[46,356,357],{},"一定要开确认机制","：默认每步执行前确认，别图省事开 ",[29,360,88],{},"，LLM 误删文件的代价远大于点几下确认",[43,363,364,367,368,371],{},[46,365,366],{},"别在生产服务器跑","：Open Interpreter 有完整系统权限，LLM 幻觉可能跑出 ",[29,369,370],{},"rm -rf"," \u002F 覆盖配置文件等灾难操作",[43,373,374,377],{},[46,375,376],{},"敏感数据隔离","：LLM 能读你所有文件，处理含密钥 \u002F 密码 \u002F 用户数据的环境要慎重，建议在 Docker 容器里跑",[43,379,380,383],{},[46,381,382],{},"长任务分段","：对话超过 20-30 轮后上下文退化，复杂任务拆成小段，每段确认结果再继续",[43,385,386,389],{},[46,387,388],{},"本地模型别期望太高","：7B\u002F14B 模型能做文件操作和简单脚本，复杂逻辑推理和调试要上 Claude \u002F GPT-4",[43,391,392,395],{},[46,393,394],{},"AGPL 协议注意","：商业项目分发时 AGPL 有传染性，内部使用没问题，分发 \u002F SaaS 化要咨询法务",[43,397,398,401],{},[46,399,400],{},"Windows 用 WSL","：原生 Windows 有路径 \u002F 权限 \u002F Shell 兼容问题，WSL 下体验一致",[20,403,405],{"id":404},"适合-不适合","适合 \u002F 不适合",[40,407,408,411,414,417,420,423,426,429,432],{},[43,409,410],{},"✅ 技术用户做本地自动化（文件批处理、数据分析、系统管理）",[43,412,413],{},"✅ 探索性编程（让 AI 跑代码看结果再迭代）",[43,415,416],{},"✅ 原型开发 \u002F 快速脚本生成",[43,418,419],{},"✅ 想用本地模型（Ollama）做隐私敏感的自动化",[43,421,422],{},"✅ 学习 \u002F 研究本地 Agent 架构",[43,424,425],{},"❌ 生产环境（稳定性不够 + 安全风险高）",[43,427,428],{},"❌ 非技术用户（误操作风险大，确认机制需要判断力）",[43,430,431],{},"❌ 敏感数据环境（LLM 能访问所有文件）",[43,433,434],{},"❌ 商业闭源项目分发（AGPL 传染性协议）",[20,436,438],{"id":437},"faq","FAQ",[25,440,441,444],{},[46,442,443],{},"Q: Open Interpreter 安全吗？","\nA: 本身不安全——它在你真实机器上执行任意代码，LLM 幻觉可能导致误删文件 \u002F 执行危险命令。缓解措施：开确认机制、在 Docker 容器跑、别给 root 权限、敏感数据隔离。生产环境不推荐。",[25,446,447,450],{},[46,448,449],{},"Q: 和 Claude Desktop 的 Computer Use 区别？","\nA: Claude Desktop 在沙箱虚拟机里操作，安全隔离好。Open Interpreter 在你真实机器上执行，能力更强但风险更高。追求安全选 Claude Desktop，追求能力和免费选 Open Interpreter。",[25,452,453,456,457,460],{},[46,454,455],{},"Q: 能用本地模型吗？","\nA: 可以。",[29,458,459],{},"interpreter --model ollama\u002Fqwen3-coder:7b"," 即用 Ollama 本地模型，完全不碰云 API。简单任务（文件操作、基础脚本）够用，复杂推理和调试建议上 Claude \u002F GPT-4。",[25,462,463,466],{},[46,464,465],{},"Q: 和 AutoGPT \u002F BabyAGI 区别？","\nA: AutoGPT \u002F BabyAGI 偏「自主规划 + 工具调用」的通用 Agent，工具链固定。Open Interpreter 偏「代码执行」——它通过写代码来完成任务，灵活性更高（任何能写代码实现的都能做），但安全风险也更高。",[20,468,469],{"id":469},"相关阅读",[25,471,472,477,478,477,482],{},[473,474,476],"a",{"href":475},"\u002Fcoding\u002Flocal\u002Fjan.html","Jan"," · 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Interpreter 真实评测：开源本地代码执行 Agent（AGPL 协议），让 LLM 在终端直接跑 Python\u002FJS\u002FShell 代码，操控浏览器、读写文件、执行系统命令。支持 GPT-4\u002FClaude\u002F本地模型，适合需要 LLM 实时操作本地环境的开发者。",false,"md",[533],"en","2026-07-30",{},true,"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopen-interpreter","agent",[540,541,542],"windows","macos","linux","Free \u002F 开源（AGPL）","2026-07-05",{"power":546,"ux":513,"price":547,"cn_support":516,"stability":513},4,5,{"title":10,"description":529},"Open Interpreter - 本地代码执行 Agent 评测 | AIHO","agent\u002Fdesktop\u002Fopen-interpreter",[552,553],{"title":503,"url":500},{"title":510,"url":508},"tools\u002Fagent\u002Fdesktop\u002Fopen-interpreter","本地代码执行 Agent，让 LLM 在你的机器上跑代码",[557,558,559,560,561],"desktop-agent","opensource","code-execution","local","python","开创性的本地代码执行 Agent，让 LLM 直接操控你的电脑跑代码、读写文件、操作浏览器，适合技术用户做自动化和探索；安全风险高、稳定性一般，不适合生产环境或非技术用户。","L4JM70girxbUKgBD0dOIoVvQD-2eCVHnpHH7ZtdCUYo",[],[],[567,1259,1901,2659,3017],{"id":568,"title":569,"alternatives":570,"api_compatible":15,"body":572,"category":527,"chinese_friendly":547,"cover":1191,"description":1192,"domestic":530,"extension":531,"faq":1193,"free":530,"github":15,"languages":1206,"lastVerified":15,"meta":1208,"models":15,"navigation":536,"notSuitable":15,"opensource":536,"path":1209,"pillar":538,"platforms":1210,"priceTable":1214,"pricing":1228,"published":1229,"relatedPlaybooks":1230,"relatedReviews":1232,"score":1234,"self_host":536,"seo":1235,"seoTitle":1236,"slug":1237,"sources":1238,"stem":1248,"suitable":15,"tagline":1249,"tags":1250,"updated":1241,"verdict":1257,"website":1152,"__hash__":1258},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm.md","AutoGLM",[12,14,571],"agent\u002Fgeneral\u002Fmanus",{"type":17,"value":573,"toc":1179},[574,576,579,582,584,652,654,674,679,683,687,707,711,734,738,896,898,1041,1043,1093,1095,1121,1123,1143,1145,1175],[20,575,23],{"id":22},[25,577,578],{},"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。",[25,580,581],{},"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）。",[20,583,38],{"id":38},[40,585,586,592,598,604,610,616,622,628,634,640,646],{},[43,587,588,591],{},[46,589,590],{},"AutoGLM-Phone-9B","：MIT 协议开源模型，HuggingFace \u002F ModelScope 可下载",[43,593,594,597],{},[46,595,596],{},"Android 适配层","：原生 Android API + Accessibility Service",[43,599,600,603],{},[46,601,602],{},"Remote ADB","：初次配置后通过 WiFi 控制设备，无需 USB",[43,605,606,609],{},[46,607,608],{},"多模态屏幕理解","：截屏 + UI 树双输入，规划 + grounding 分离",[43,611,612,615],{},[46,613,614],{},"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",[43,617,618,621],{},[46,619,620],{},"英文 App 覆盖","：Gmail \u002F Google Maps \u002F X \u002F Reddit \u002F OneStopShop",[43,623,624,627],{},[46,625,626],{},"Web 浏览器智能体","：Chrome 扩展 + VAB-WebArena-Lite 55.2% \u002F 59.1%",[43,629,630,633],{},[46,631,632],{},"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）",[43,635,636,639],{},[46,637,638],{},"Safe Operations","：敏感操作（登录 \u002F 验证码）确认后由人接管",[43,641,642,645],{},[46,643,644],{},"Python API","：几行代码就能跑通自动化任务",[43,647,648,651],{},[46,649,650],{},"私有化部署","：模型 + 框架本地跑，数据 \u002F 日志 \u002F 权限完全自控",[20,653,98],{"id":98},[40,655,656,662,668],{},[43,657,658,661],{},[46,659,660],{},"Open-AutoGLM","：$0；模型 MIT + 代码 Apache 2.0",[43,663,664,667],{},[46,665,666],{},"Chrome 扩展","：$0；Chrome Web Store 装即用",[43,669,670,673],{},[46,671,672],{},"整合产品（智谱清言 App）","：商业服务，价格随订阅",[107,675,676],{},[25,677,678],{},"真实成本 = 0（开源）+ GPU 推理（9B 模型 RTX 4090 一张即可跑）",[20,680,682],{"id":681},"实测开源版本-pixel-6a-ubuntu-2204","实测（开源版本 \u002F Pixel 6a + Ubuntu 22.04）",[25,684,685],{},[46,686,120],{},[40,688,689,692,695,698,701,704],{},[43,690,691],{},"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",[43,693,694],{},"中文 App 覆盖度领先：微信 \u002F 美团 \u002F 淘宝跑通率高",[43,696,697],{},"模型 9B 可在单卡 4090 + 24GB 显存跑，门槛友好",[43,699,700],{},"Remote ADB 让长跑实验摆脱 USB 线",[43,702,703],{},"学术 benchmark 数据透明（55.2% \u002F 59.1%）",[43,705,706],{},"safe-operation 设计对登录 \u002F 支付环节做人审接管，避免误操作",[25,708,709],{},[46,710,148],{},[40,712,713,716,719,722,725,728,731],{},[43,714,715],{},"App 版本更新后 UI 元素变化要重新适配",[43,717,718],{},"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）",[43,720,721],{},"主要面向 Android，iOS 支持空缺",[43,723,724],{},"文档以 README + 论文为主，工程化最佳实践薄",[43,726,727],{},"国行 App 隐私 \u002F 反爬监测会偶尔拦截",[43,729,730],{},"Chrome 扩展 3.4 \u002F 5 评分中等，功能尚可但稳定性一般",[43,732,733],{},"整合版（智谱清言）和开源版差异要注意，别混用",[20,735,737],{"id":736},"上手open-autoglm","上手（Open-AutoGLM）",[739,740,744],"pre",{"className":741,"code":742,"language":743,"meta":512,"style":512},"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",[29,745,746,762,787,792,798,809,814,820,854,859,865,876,887],{"__ignoreMap":512},[747,748,751,755,759],"span",{"class":749,"line":750},"line",1,[747,752,754],{"class":753},"sScJk","git",[747,756,758],{"class":757},"sZZnC"," clone",[747,760,761],{"class":757}," https:\u002F\u002Fgithub.com\u002Fzai-org\u002FOpen-AutoGLM\n",[747,763,764,768,771,775,778,781,784],{"class":749,"line":516},[747,765,767],{"class":766},"sj4cs","cd",[747,769,770],{"class":757}," Open-AutoGLM",[747,772,774],{"class":773},"sVt8B"," && ",[747,776,777],{"class":753},"pip",[747,779,780],{"class":757}," install",[747,782,783],{"class":766}," -r",[747,785,786],{"class":757}," requirements.txt\n",[747,788,789],{"class":749,"line":513},[747,790,791],{"emptyLinePlaceholder":536},"\n",[747,793,794],{"class":749,"line":546},[747,795,797],{"class":796},"sJ8bj","# 下载 9B 模型\n",[747,799,800,803,806],{"class":749,"line":547},[747,801,802],{"class":753},"huggingface-cli",[747,804,805],{"class":757}," download",[747,807,808],{"class":757}," THUDM\u002FAutoGLM-Phone-9B\n",[747,810,812],{"class":749,"line":811},6,[747,813,791],{"emptyLinePlaceholder":536},[747,815,817],{"class":749,"line":816},7,[747,818,819],{"class":796},"# 配置 ADB（USB 一次）\n",[747,821,823,826,829,832,834,836,839,843,846,848,851],{"class":749,"line":822},8,[747,824,825],{"class":753},"adb",[747,827,828],{"class":757}," tcpip",[747,830,831],{"class":766}," 5555",[747,833,774],{"class":773},[747,835,825],{"class":753},[747,837,838],{"class":757}," connect",[747,840,842],{"class":841},"szBVR"," \u003C",[747,844,845],{"class":757},"device-i",[747,847,25],{"class":773},[747,849,850],{"class":841},">",[747,852,853],{"class":757},":5555\n",[747,855,857],{"class":749,"line":856},9,[747,858,791],{"emptyLinePlaceholder":536},[747,860,862],{"class":749,"line":861},10,[747,863,864],{"class":796},"# 跑示例任务\n",[747,866,868,870,873],{"class":749,"line":867},11,[747,869,561],{"class":753},[747,871,872],{"class":757}," examples\u002Frun_phone_agent.py",[747,874,875],{"class":766}," \\\n",[747,877,879,882,885],{"class":749,"line":878},12,[747,880,881],{"class":766},"  --model",[747,883,884],{"class":757}," THUDM\u002FAutoGLM-Phone-9B",[747,886,875],{"class":766},[747,888,890,893],{"class":749,"line":889},13,[747,891,892],{"class":766},"  --task",[747,894,895],{"class":757}," \"在小红书搜索罗马旅游攻略并总结景点\"\n",[20,897,212],{"id":212},[214,899,900,916],{},[217,901,902],{},[220,903,904,906,908,910,913],{},[223,905,225],{},[223,907,569],{},[223,909,230],{},[223,911,912],{},"OpenClaw",[223,914,915],{},"Anthropic Computer Use",[238,917,918,935,949,966,980,996,1010,1024],{},[220,919,920,923,926,929,932],{},[243,921,922],{},"平台",[243,924,925],{},"Android + Web",[243,927,928],{},"macOS \u002F Windows + MCP",[243,930,931],{},"macOS\u002FLinux\u002FWin",[243,933,934],{},"跨平台",[220,936,937,939,942,945,947],{},[243,938,261],{},[243,940,941],{},"✅ MIT 模型 + Apache 代码",[243,943,944],{},"闭源",[243,946,273],{},[243,948,267],{},[220,950,951,954,957,960,963],{},[243,952,953],{},"中文 App",[243,955,956],{},"✅ 50+ 示例",[243,958,959],{},"–",[243,961,962],{},"部分",[243,964,965],{},"弱",[220,967,968,971,974,976,978],{},[243,969,970],{},"Phone agent",[243,972,973],{},"✅ 9B 模型",[243,975,267],{},[243,977,267],{},[243,979,267],{},[220,981,982,985,987,990,993],{},[243,983,984],{},"桌面 agent",[243,986,267],{},[243,988,989],{},"✅ MCP",[243,991,992],{},"✅ Gateway",[243,994,995],{},"✅ 原生",[220,997,998,1001,1004,1006,1008],{},[243,999,1000],{},"学术 benchmark",[243,1002,1003],{},"✅ 公开",[243,1005,959],{},[243,1007,959],{},[243,1009,962],{},[220,1011,1012,1015,1017,1019,1022],{},[243,1013,1014],{},"整合 IM",[243,1016,959],{},[243,1018,959],{},[243,1020,1021],{},"✅ 20+ 平台",[243,1023,959],{},[220,1025,1026,1029,1032,1035,1038],{},[243,1027,1028],{},"适合",[243,1030,1031],{},"国内 App \u002F 研究 \u002F 私有化",[243,1033,1034],{},"MCP 生态桌面",[243,1036,1037],{},"IM 触发个人 agent",[243,1039,1040],{},"跨平台桌面",[20,1042,350],{"id":350},[40,1044,1045,1051,1057,1063,1069,1075,1081,1087],{},[43,1046,1047,1050],{},[46,1048,1049],{},"App 版本敏感","：UI 改动后效果下降，要 pin App 版本或重训样本",[43,1052,1053,1056],{},[46,1054,1055],{},"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",[43,1058,1059,1062],{},[46,1060,1061],{},"iOS 暂缺","：需要 iOS agent 走别的方案",[43,1064,1065,1068],{},[46,1066,1067],{},"Remote ADB 安全","：开放端口必须限内网 + 防火墙",[43,1070,1071,1074],{},[46,1072,1073],{},"国行 App 反爬","：账号风控 \u002F 验证码会触发，必要时 human-in-the-loop",[43,1076,1077,1080],{},[46,1078,1079],{},"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",[43,1082,1083,1086],{},[46,1084,1085],{},"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",[43,1088,1089,1092],{},[46,1090,1091],{},"MIT 模型 + Apache 代码","：商用务必看 LICENSE，企业合规审计要走流程",[20,1094,405],{"id":404},[40,1096,1097,1100,1103,1106,1109,1112,1115,1118],{},[43,1098,1099],{},"✅ GUI agent 学术研究 \u002F 工程团队",[43,1101,1102],{},"✅ 国内 App 自治（微信 \u002F 美团 \u002F 淘宝 \u002F 小红书）",[43,1104,1105],{},"✅ 想本地跑 phone agent + 数据自主",[43,1107,1108],{},"✅ 私有化部署 + 合规需求",[43,1110,1111],{},"❌ 跨平台桌面自动化（Claude Desktop \u002F Anthropic Computer Use）",[43,1113,1114],{},"❌ iOS App 自治",[43,1116,1117],{},"❌ 要 production-grade 稳定性（仍在演进）",[43,1119,1120],{},"❌ 不懂 ADB \u002F Python 部署的纯用户",[20,1122,469],{"id":469},[40,1124,1125,1131,1137],{},[43,1126,1127],{},[473,1128,1130],{"href":1129},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[43,1132,1133],{},[473,1134,1136],{"href":1135},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw","OpenClaw 评测",[43,1138,1139],{},[473,1140,1142],{"href":1141},"\u002Ftools\u002Fcoding\u002Fagent\u002Fmanus","Manus 评测",[20,1144,488],{"id":488},[173,1146,1147,1154,1161,1168],{},[43,1148,1149,1150],{},"AutoGLM 项目主页（含 Open-AutoGLM 2025-12-08 发布说明 \u002F benchmark 数据）",[473,1151,1152],{"href":1152,"rel":1153},"https:\u002F\u002Fxiao9905.github.io\u002FAutoGLM",[502],[43,1155,1156,1157],{},"腾讯新闻 — 智谱开源 AutoGLM（32 个月研发 \u002F MIT + Apache 2.0）",[473,1158,1159],{"href":1159,"rel":1160},"https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20251209A05V1G00",[502],[43,1162,1163,1164],{},"AutoGLM arXiv 论文 ",[473,1165,1166],{"href":1166,"rel":1167},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2411.00820",[502],[43,1169,1170,1171],{},"Chrome Web Store — 智谱清言 ChatGLM & AutoGLM 工作学习 AI 助手 ",[473,1172,1173],{"href":1173,"rel":1174},"https:\u002F\u002Fchromewebstore.google.com\u002Fdetail\u002Fmnpdbmgpebfihcndnpgdaihnkmloclkd",[502],[1176,1177,1178],"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":512,"searchDepth":513,"depth":513,"links":1180},[1181,1182,1183,1184,1185,1186,1187,1188,1189,1190],{"id":22,"depth":516,"text":23},{"id":38,"depth":516,"text":38},{"id":98,"depth":516,"text":98},{"id":681,"depth":516,"text":682},{"id":736,"depth":516,"text":737},{"id":212,"depth":516,"text":212},{"id":350,"depth":516,"text":350},{"id":404,"depth":516,"text":405},{"id":469,"depth":516,"text":469},{"id":488,"depth":516,"text":488},"\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。",[1194,1197,1200,1203],{"q":1195,"a":1196},"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":1198,"a":1199},"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":1201,"a":1202},"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":1204,"a":1205},"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。",[1207,533],"zh",{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm",[1211,1212,1213],"android","chrome-extension","web",[1215,1219,1223],{"plan":660,"price":1216,"features":1217,"notes":1218},"$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":1220,"price":1216,"features":1221,"notes":1222},"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":1224,"price":1225,"features":1226,"notes":1227},"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",[1231],"onboarding\u002Fgui-agent-engineering",[1233],"autoglm-deep-review",{"power":546,"ux":546,"price":547,"cn_support":547,"stability":513},{"title":569,"description":1192},"AutoGLM 评测 2026：智谱 GUI 自治智能体，开源 9B 手机模型","agent\u002Fdesktop\u002Fautoglm",[1239,1242,1244,1246],{"name":1240,"url":1152,"accessed":1241},"AutoGLM 项目主页（清华 \u002F Z.AI）","2026-06-24",{"name":1243,"url":1159,"accessed":1241},"腾讯新闻 — 智谱开源 AutoGLM",{"name":1245,"url":1166,"accessed":1241},"AutoGLM arXiv 论文 2411.00820",{"name":1247,"url":1173,"accessed":1241},"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",[1251,1252,1253,558,1254,1255,1256],"gui-agent","mobile-agent","browser-agent","chinese","zhipu","chatglm","国内『AI 操作手机 \u002F 浏览器』开源标杆——智谱 32 个月研发、清华学术背景、MIT 开源模型权重。学术研究 \u002F 国内 App 自治 \u002F 私有化部署首选。生产稳定性 + 跨平台桌面仍弱于 Anthropic Computer Use \u002F Claude Desktop。","NXfcboF7khrYK75qWi7v5Cp05Xd8Z4VHozX686Y9QBI",{"id":1260,"title":230,"alternatives":1261,"api_compatible":15,"body":1263,"category":527,"chinese_friendly":513,"cover":1835,"description":1836,"domestic":530,"extension":531,"faq":1837,"free":530,"github":15,"languages":1850,"lastVerified":15,"meta":1852,"models":15,"navigation":536,"notSuitable":15,"opensource":530,"path":1129,"pillar":538,"platforms":1853,"priceTable":1854,"pricing":1876,"published":1229,"relatedPlaybooks":1877,"relatedReviews":15,"score":1879,"self_host":530,"seo":1880,"seoTitle":1881,"slug":12,"sources":1882,"stem":1891,"suitable":15,"tagline":1892,"tags":1893,"updated":1241,"verdict":1898,"website":1899,"__hash__":1900},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop.md",[14,1237,1262],"agent\u002Fdesktop\u002Fcrush",{"type":17,"value":1264,"toc":1823},[1265,1267,1270,1273,1275,1343,1345,1382,1387,1391,1395,1415,1419,1442,1444,1462,1543,1548,1550,1684,1686,1741,1743,1769,1771,1788,1790,1820],[20,1266,23],{"id":22},[25,1268,1269],{},"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。",[25,1271,1272],{},"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）。",[20,1274,38],{"id":38},[40,1276,1277,1283,1289,1295,1301,1307,1313,1319,1325,1331,1337],{},[43,1278,1279,1282],{},[46,1280,1281],{},"原生 MCP 支持","：stdio \u002F SSE \u002F HTTP transport，工具调用直接进入对话",[43,1284,1285,1288],{},[46,1286,1287],{},".mcpb Extensions","：一键双击安装，含 Node.js \u002F Python 依赖全打包",[43,1290,1291,1294],{},[46,1292,1293],{},"Connectors 面板","：+ 菜单浏览 \u002F 启用主流 MCP server",[43,1296,1297,1300],{},[46,1298,1299],{},"手动 JSON 配置","：Settings → Developer → Edit Config 完全控制",[43,1302,1303,1306],{},[46,1304,1305],{},"Projects","：跨会话共享 system prompt + 文件 + 知识库",[43,1308,1309,1312],{},[46,1310,1311],{},"Artifacts","：HTML \u002F React \u002F Markdown 实时预览",[43,1314,1315,1318],{},[46,1316,1317],{},"多模态","：图片 + PDF + CSV 上传分析",[43,1320,1321,1324],{},[46,1322,1323],{},"Opus \u002F Sonnet \u002F Haiku 三档","：按任务难度切换",[43,1326,1327,1330],{},[46,1328,1329],{},"Computer Use（Sonnet 4.6+）","：跨平台桌面操作（API 形式）",[43,1332,1333,1336],{},[46,1334,1335],{},"Team Projects","：共享 prompt + admin + 用量分配",[43,1338,1339,1342],{},[46,1340,1341],{},"Enterprise","：SSO + SCIM + 审计 + DLP + 数据保留策略",[20,1344,98],{"id":98},[40,1346,1347,1353,1359,1365,1371,1377],{},[43,1348,1349,1352],{},[46,1350,1351],{},"Free","：$0；基础访问 + MCP 支持",[43,1354,1355,1358],{},[46,1356,1357],{},"Pro","：$20\u002F月；Opus + Projects + 5x 配额",[43,1360,1361,1364],{},[46,1362,1363],{},"Max","：$100\u002F月；5x Pro 用量 + 优先速度",[43,1366,1367,1370],{},[46,1368,1369],{},"Max+","：$200\u002F月；20x Pro 用量",[43,1372,1373,1376],{},[46,1374,1375],{},"Team","：$30\u002Fuser·月（最少 5 人，年付）",[43,1378,1379,1381],{},[46,1380,1341],{},"：Custom",[107,1383,1384],{},[25,1385,1386],{},"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。",[20,1388,1390],{"id":1389},"实测开发者主力-macos-windows-双开","实测（开发者主力 \u002F macOS \u002F Windows 双开）",[25,1392,1393],{},[46,1394,120],{},[40,1396,1397,1400,1403,1406,1409,1412],{},[43,1398,1399],{},".mcpb 让非工程师用户也能装上 GitHub \u002F filesystem \u002F SQLite 工具",[43,1401,1402],{},"Opus 推理质量在所有桌面 agent 中最强",[43,1404,1405],{},"Projects 跨会话保留上下文非常省 token",[43,1407,1408],{},"MCP 工具调用 + Artifacts 预览同窗体验流畅",[43,1410,1411],{},"Anthropic 官方更新节奏稳，2026 几乎每月有功能",[43,1413,1414],{},"Settings → Developer → Edit Config 一键打开配置，路径不再坑用户",[25,1416,1417],{},[46,1418,148],{},[40,1420,1421,1424,1427,1430,1433,1436,1439],{},[43,1422,1423],{},"中国大陆访问 + 支付都受限",[43,1425,1426],{},"MCP 配置错误的报错很简短，要看 Console \u002F Log",[43,1428,1429],{},"大文件 \u002F 长上下文偶尔出现 token 计费偏高",[43,1431,1432],{},"Linux 版本更新偶尔落后 macOS \u002F Windows",[43,1434,1435],{},".mcpb 包格式更换（.dxt → .mcpb）期间的旧包还在用，命名混乱",[43,1437,1438],{},"Free 配额限制偏紧，体验完整流程几乎要 Pro",[43,1440,1441],{},"多账户切换不友好，企业 + 个人共用要登出登入",[20,1443,171],{"id":171},[173,1445,1446,1449,1456,1459],{},[43,1447,1448],{},"claude.ai\u002Fdownload → 下载对应系统客户端 → 安装登录",[43,1450,1451],{},[40,1452,1453],{},[43,1454,1455],{},"菜单 → Connectors → 浏览主流 MCP server（filesystem \u002F GitHub \u002F Slack \u002F Postgres）",[43,1457,1458],{},"或 Settings → Extensions → 下载 .mcpb 文件 → 双击安装",[43,1460,1461],{},"或 Settings → Developer → Edit Config → 手动加：",[739,1463,1467],{"className":1464,"code":1465,"language":1466,"meta":512,"style":512},"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",[29,1468,1469,1474,1482,1489,1503,1528,1533,1538],{"__ignoreMap":512},[747,1470,1471],{"class":749,"line":750},[747,1472,1473],{"class":773},"{\n",[747,1475,1476,1479],{"class":749,"line":516},[747,1477,1478],{"class":766},"  \"mcpServers\"",[747,1480,1481],{"class":773},": {\n",[747,1483,1484,1487],{"class":749,"line":513},[747,1485,1486],{"class":766},"    \"filesystem\"",[747,1488,1481],{"class":773},[747,1490,1491,1494,1497,1500],{"class":749,"line":546},[747,1492,1493],{"class":766},"      \"command\"",[747,1495,1496],{"class":773},": ",[747,1498,1499],{"class":757},"\"npx\"",[747,1501,1502],{"class":773},",\n",[747,1504,1505,1508,1511,1514,1517,1520,1522,1525],{"class":749,"line":547},[747,1506,1507],{"class":766},"      \"args\"",[747,1509,1510],{"class":773},": [",[747,1512,1513],{"class":757},"\"-y\"",[747,1515,1516],{"class":773},", ",[747,1518,1519],{"class":757},"\"@modelcontextprotocol\u002Fserver-filesystem\"",[747,1521,1516],{"class":773},[747,1523,1524],{"class":757},"\"\u002FUsers\u002Fyou\u002Fwork\"",[747,1526,1527],{"class":773},"]\n",[747,1529,1530],{"class":749,"line":811},[747,1531,1532],{"class":773},"    }\n",[747,1534,1535],{"class":749,"line":816},[747,1536,1537],{"class":773},"  }\n",[747,1539,1540],{"class":749,"line":822},[747,1541,1542],{"class":773},"}\n",[173,1544,1545],{"start":547},[43,1546,1547],{},"重启 Claude Desktop → 看到对话框右下角 🔨 工具图标 → 测试 \"list files in \u002FUsers\u002Fyou\u002Fwork\"",[20,1549,212],{"id":212},[214,1551,1552,1568],{},[217,1553,1554],{},[220,1555,1556,1558,1560,1563,1566],{},[223,1557,225],{},[223,1559,230],{},[223,1561,1562],{},"ChatGPT Desktop",[223,1564,1565],{},"Cursor",[223,1567,912],{},[238,1569,1570,1585,1600,1613,1629,1641,1654,1668],{},[220,1571,1572,1575,1578,1581,1583],{},[243,1573,1574],{},"原生 MCP",[243,1576,1577],{},"✅ 旗舰",[243,1579,1580],{},"部分（GPT Actions）",[243,1582,962],{},[243,1584,992],{},[220,1586,1587,1590,1593,1595,1598],{},[243,1588,1589],{},"一键扩展安装",[243,1591,1592],{},"✅ .mcpb",[243,1594,959],{},[243,1596,1597],{},"✅ 部分",[243,1599,959],{},[220,1601,1602,1605,1607,1609,1611],{},[243,1603,1604],{},"桌面 \u002F 文件系统",[243,1606,295],{},[243,1608,295],{},[243,1610,295],{},[243,1612,295],{},[220,1614,1615,1618,1621,1624,1627],{},[243,1616,1617],{},"模型",[243,1619,1620],{},"Claude（Opus \u002F Sonnet）",[243,1622,1623],{},"GPT-5.x",[243,1625,1626],{},"多模型",[243,1628,1626],{},[220,1630,1631,1633,1635,1637,1639],{},[243,1632,261],{},[243,1634,267],{},[243,1636,267],{},[243,1638,267],{},[243,1640,273],{},[220,1642,1643,1646,1648,1650,1652],{},[243,1644,1645],{},"中国大陆支付",[243,1647,267],{},[243,1649,267],{},[243,1651,267],{},[243,1653,295],{},[220,1655,1656,1659,1662,1664,1666],{},[243,1657,1658],{},"起价",[243,1660,1661],{},"$20\u002F月",[243,1663,1661],{},[243,1665,1661],{},[243,1667,1216],{},[220,1669,1670,1672,1675,1678,1681],{},[243,1671,1028],{},[243,1673,1674],{},"MCP 生态 + Claude 派",[243,1676,1677],{},"OpenAI 派",[243,1679,1680],{},"代码主力",[243,1682,1683],{},"自托管 IM 触发",[20,1685,350],{"id":350},[40,1687,1688,1694,1700,1706,1712,1718,1724,1730,1736],{},[43,1689,1690,1693],{},[46,1691,1692],{},"配置文件路径常错","：用 Settings → Developer → Edit Config 一键打开，不要手输路径",[43,1695,1696,1699],{},[46,1697,1698],{},"JSON 必须合法","：注释 \u002F 尾逗号会报错，建议 VS Code 校验",[43,1701,1702,1705],{},[46,1703,1704],{},"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",[43,1707,1708,1711],{},[46,1709,1710],{},"NPM 依赖卡住","：npx 首次拉包慢，设置代理或预跑一次再用",[43,1713,1714,1717],{},[46,1715,1716],{},"环境变量隔离","：每个 MCP server 的 env 只对该 server 可见，避免泄露",[43,1719,1720,1723],{},[46,1721,1722],{},"filesystem 限定路径","：args 里只给必要目录，不要给 \u002F 或整个 home",[43,1725,1726,1729],{},[46,1727,1728],{},".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",[43,1731,1732,1735],{},[46,1733,1734],{},"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",[43,1737,1738,1740],{},[46,1739,1293],{}," 偶有 server 不可用，回退到 JSON 手动配置",[20,1742,405],{"id":404},[40,1744,1745,1748,1751,1754,1757,1760,1763,1766],{},[43,1746,1747],{},"✅ Claude Opus \u002F Sonnet 重度用户",[43,1749,1750],{},"✅ 想打通文件系统 \u002F DB \u002F GitHub \u002F 浏览器自动化的开发者",[43,1752,1753],{},"✅ 团队协作通过 Team Projects 共享上下文",[43,1755,1756],{},"✅ MCP 生态早期采用者 \u002F 工具开发者",[43,1758,1759],{},"❌ 中国大陆企业要正规付费 + 合规",[43,1761,1762],{},"❌ 纯代码工作流（Cursor \u002F Continue 更顺）",[43,1764,1765],{},"❌ 预算极紧（Free 配额很快耗尽）",[43,1767,1768],{},"❌ 要自托管 + 数据完全自主（走 OpenClaw \u002F 自家方案）",[20,1770,469],{"id":469},[40,1772,1773,1777,1782],{},[43,1774,1775],{},[473,1776,1136],{"href":1135},[43,1778,1779],{},[473,1780,1781],{"href":1209},"AutoGLM 评测",[43,1783,1784],{},[473,1785,1787],{"href":1786},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush","Crush 评测",[20,1789,488],{"id":488},[173,1791,1792,1799,1806,1813],{},[43,1793,1794,1795],{},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt 改名 2025-09）",[473,1796,1797],{"href":1797,"rel":1798},"https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Fdesktop-extensions",[502],[43,1800,1801,1802],{},"Toolradar — Claude Desktop MCP Server Setup 2026（路径 \u002F 配置示例）",[473,1803,1804],{"href":1804,"rel":1805},"https:\u002F\u002Ftoolradar.com\u002Fblog\u002Fclaude-desktop-mcp-server-setup",[502],[43,1807,1808,1809],{},"MCP Playground — Complete 2026 Setup Guide ",[473,1810,1811],{"href":1811,"rel":1812},"https:\u002F\u002Fmcpplaygroundonline.com\u002Fblog\u002Fhow-to-setup-mcp-claude-desktop",[502],[43,1814,1815,1816],{},"Anthropic — Pricing（Pro $20 \u002F Max $100 \u002F Max+ $200 \u002F Team $30 \u002F Enterprise）",[473,1817,1818],{"href":1818,"rel":1819},"https:\u002F\u002Fwww.anthropic.com\u002Fpricing",[502],[1176,1821,1822],{},"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":512,"searchDepth":513,"depth":513,"links":1824},[1825,1826,1827,1828,1829,1830,1831,1832,1833,1834],{"id":22,"depth":516,"text":23},{"id":38,"depth":516,"text":38},{"id":98,"depth":516,"text":98},{"id":1389,"depth":516,"text":1390},{"id":171,"depth":516,"text":171},{"id":212,"depth":516,"text":212},{"id":350,"depth":516,"text":350},{"id":404,"depth":516,"text":405},{"id":469,"depth":516,"text":469},{"id":488,"depth":516,"text":488},"\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。",[1838,1841,1844,1847],{"q":1839,"a":1840},"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":1842,"a":1843},".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":1845,"a":1846},"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":1848,"a":1849},"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。",[533,1207,1851],"multi",{},[541,540,542],[1855,1858,1861,1865,1869,1873],{"plan":1351,"price":1216,"features":1856,"notes":1857},"基础 Claude Sonnet + MCP 支持 + 有限 message","试水 \u002F 个人轻度",{"plan":1357,"price":1661,"features":1859,"notes":1860},"更多 message + Opus 模型 + Projects + 优先速度","个人主力",{"plan":1363,"price":1862,"features":1863,"notes":1864},"$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":1369,"price":1866,"features":1867,"notes":1868},"$200\u002F月","20x Pro 用量 + research preview 优先","极重度 \u002F Power user",{"plan":1375,"price":1870,"features":1871,"notes":1872},"$30\u002Fuser·月","共享 Projects + admin + 用量分配 + 集中计费（最少 5 人）","小团队",{"plan":1341,"price":1225,"features":1874,"notes":1875},"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",[1878],"onboarding\u002Fmcp-tool-development",{"power":547,"ux":547,"price":513,"cn_support":516,"stability":547},{"title":230,"description":1836},"Claude Desktop 评测 2026：Anthropic 官方桌面客户端，AI 助手本地使用",[1883,1885,1887,1889],{"name":1884,"url":1797,"accessed":1241},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt）",{"name":1886,"url":1804,"accessed":1241},"Toolradar — Claude Desktop MCP 设置 2026",{"name":1888,"url":1811,"accessed":1241},"MCP Playground — 完整 2026 配置指南",{"name":1890,"url":1818,"accessed":1241},"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",[557,1894,1895,1896,1897],"mcp","claude","extensions","anthropic","MCP 生态的旗舰桌面客户端——要 Claude Opus \u002F Sonnet + MCP 工具 + 文件系统 \u002F DB \u002F GitHub 集成的开发者首选。中国大陆访问需自备网络 + 不支持中国大陆支付，团队订阅要海外卡。","https:\u002F\u002Fclaude.ai\u002Fdownload","ITa0FIPXbOWoF-MAdRADov6SN4r-QhfWvzH9LuimlMI",{"id":1902,"title":1903,"alternatives":1904,"api_compatible":15,"body":1908,"category":527,"chinese_friendly":513,"cover":2609,"description":2610,"domestic":530,"extension":531,"faq":2611,"free":530,"github":15,"languages":2624,"lastVerified":15,"meta":2625,"models":15,"navigation":536,"notSuitable":15,"opensource":536,"path":1786,"pillar":538,"platforms":2626,"priceTable":2630,"pricing":2634,"published":1229,"relatedPlaybooks":2635,"relatedReviews":15,"score":2637,"self_host":536,"seo":2638,"seoTitle":2639,"slug":1262,"sources":2640,"stem":2649,"suitable":15,"tagline":2650,"tags":2651,"updated":1241,"verdict":2657,"website":2571,"__hash__":2658},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush.md","Crush",[1905,1906,1907],"coding\u002Fcli\u002Fclaude-code","coding\u002Fcli\u002Faider","coding\u002Fcli\u002Fcodex",{"type":17,"value":1909,"toc":2597},[1910,1912,1915,1918,1920,1985,1987,1997,2002,2006,2010,2033,2037,2067,2069,2192,2197,2278,2280,2449,2451,2512,2514,2540,2542,2562,2564,2594],[20,1911,23],{"id":22},[25,1913,1914],{},"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）。",[25,1916,1917],{},"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）。",[20,1919,38],{"id":38},[40,1921,1922,1928,1934,1940,1946,1952,1958,1964,1970,1976],{},[43,1923,1924,1927],{},[46,1925,1926],{},"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",[43,1929,1930,1933],{},[46,1931,1932],{},"LSP 集成","：自动发现 + on-demand 启动，context-aware 代码理解",[43,1935,1936,1939],{},[46,1937,1938],{},"MCP 支持","：stdio \u002F HTTP \u002F SSE 三种 transport",[43,1941,1942,1945],{},[46,1943,1944],{},"Agent Skills 标准","：内置 skill discovery",[43,1947,1948,1951],{},[46,1949,1950],{},"AGENTS.md","：项目级 context 文件",[43,1953,1954,1957],{},[46,1955,1956],{},"SQLite session 持久化","：history navigation + 多会话隔离",[43,1959,1960,1963],{},[46,1961,1962],{},"桌面通知","：权限确认 + agent turn 完成提醒",[43,1965,1966,1969],{},[46,1967,1968],{},"跨平台二进制","：macOS + Linux + Windows（PowerShell + WSL）+ FreeBSD + OpenBSD + NetBSD + Android",[43,1971,1972,1975],{},[46,1973,1974],{},"Charm 生态","：Bubble Tea TUI + Lip Gloss 样式 + Glamour markdown + Bubbles 组件 + Fantasy LLM 抽象",[43,1977,1978,1984],{},[46,1979,1980,1983],{},[29,1981,1982],{},"@charmland\u002Fcrush"," NPM 包","：跨平台一键安装",[20,1986,98],{"id":98},[40,1988,1989,1994],{},[43,1990,1991,1993],{},[46,1992,1351],{},"：$0；FSL-1.1-MIT（2 年后转 MIT）",[43,1995,1996],{},"真实成本 = LLM API 费用（自带 key）",[107,1998,1999],{},[25,2000,2001],{},"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。",[20,2003,2005],{"id":2004},"实测终端主力-macos-linux-ssh","实测（终端主力 \u002F macOS + Linux SSH）",[25,2007,2008],{},[46,2009,120],{},[40,2011,2012,2015,2018,2021,2024,2027,2030],{},[43,2013,2014],{},"TUI 颜值在终端 agent 里独一档，Bubble Tea 的丝滑动效",[43,2016,2017],{},"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",[43,2019,2020],{},"LSP 集成对 Go \u002F Rust \u002F TS \u002F Python 大型项目特别管用",[43,2022,2023],{},"MCP 三种 transport 覆盖几乎所有用例",[43,2025,2026],{},"AGENTS.md 让项目级 prompt 不丢",[43,2028,2029],{},"SQLite 多 session 隔离干净",[43,2031,2032],{},"跨平台二进制保留 SSH + 远程开发用户",[25,2034,2035],{},[46,2036,148],{},[40,2038,2039,2042,2045,2048,2051,2054,2057,2064],{},[43,2040,2041],{},"FSL-1.1-MIT 不是 OSI 标准开源，企业法务要审一遍",[43,2043,2044],{},"自带 API Key，新手要先准备至少一家 provider",[43,2046,2047],{},"~22MB+ 二进制 + Go runtime + SQLite，比 aider 重",[43,2049,2050],{},"仅 TUI，没 IDE 插件 \u002F web UI",[43,2052,2053],{},"160+ releases 节奏快，breaking change 偶发",[43,2055,2056],{},"中文 prompt 效果取决于底层模型，UI 文档英文为主",[43,2058,2059,2060,2063],{},"多模型 routing 默认策略可能不省钱，手动配 ",[29,2061,2062],{},"crush.json"," 更精细",[43,2065,2066],{},"Windows 原生 PowerShell 偶有渲染问题，WSL 体验更好",[20,2068,171],{"id":171},[739,2070,2072],{"className":741,"code":2071,"language":743,"meta":512,"style":512},"# 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",[29,2073,2074,2079,2089,2093,2098,2111,2115,2120,2130,2134,2139,2153,2165,2169,2175,2181,2186],{"__ignoreMap":512},[747,2075,2076],{"class":749,"line":750},[747,2077,2078],{"class":796},"# macOS\n",[747,2080,2081,2084,2086],{"class":749,"line":516},[747,2082,2083],{"class":753},"brew",[747,2085,780],{"class":757},[747,2087,2088],{"class":757}," charmbracelet\u002Ftap\u002Fcrush\n",[747,2090,2091],{"class":749,"line":513},[747,2092,791],{"emptyLinePlaceholder":536},[747,2094,2095],{"class":749,"line":546},[747,2096,2097],{"class":796},"# 跨平台 NPM\n",[747,2099,2100,2103,2105,2108],{"class":749,"line":547},[747,2101,2102],{"class":753},"npm",[747,2104,780],{"class":757},[747,2106,2107],{"class":766}," -g",[747,2109,2110],{"class":757}," @charmland\u002Fcrush\n",[747,2112,2113],{"class":749,"line":811},[747,2114,791],{"emptyLinePlaceholder":536},[747,2116,2117],{"class":749,"line":816},[747,2118,2119],{"class":796},"# Go 直装\n",[747,2121,2122,2125,2127],{"class":749,"line":822},[747,2123,2124],{"class":753},"go",[747,2126,780],{"class":757},[747,2128,2129],{"class":757}," github.com\u002Fcharmbracelet\u002Fcrush@latest\n",[747,2131,2132],{"class":749,"line":856},[747,2133,791],{"emptyLinePlaceholder":536},[747,2135,2136],{"class":749,"line":861},[747,2137,2138],{"class":796},"# 配置 API Key（任选）\n",[747,2140,2141,2144,2147,2150],{"class":749,"line":867},[747,2142,2143],{"class":841},"export",[747,2145,2146],{"class":773}," ANTHROPIC_API_KEY",[747,2148,2149],{"class":841},"=",[747,2151,2152],{"class":757},"\"sk-ant-...\"\n",[747,2154,2155,2157,2160,2162],{"class":749,"line":878},[747,2156,2143],{"class":841},[747,2158,2159],{"class":773}," OPENAI_API_KEY",[747,2161,2149],{"class":841},[747,2163,2164],{"class":757},"\"sk-...\"\n",[747,2166,2167],{"class":749,"line":889},[747,2168,791],{"emptyLinePlaceholder":536},[747,2170,2172],{"class":749,"line":2171},14,[747,2173,2174],{"class":796},"# 启动\n",[747,2176,2178],{"class":749,"line":2177},15,[747,2179,2180],{"class":753},"crush\n",[747,2182,2184],{"class":749,"line":2183},16,[747,2185,791],{"emptyLinePlaceholder":536},[747,2187,2189],{"class":749,"line":2188},17,[747,2190,2191],{"class":796},"# Ctrl+P → Switch Model 切换；Ctrl+S 切 session；输入 \u002Fhelp 看命令\n",[25,2193,2194,2196],{},[29,2195,2062],{}," 加 Z.AI GLM Coding Plan 自定义 provider：",[739,2198,2200],{"className":1464,"code":2199,"language":1466,"meta":512,"style":512},"{\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",[29,2201,2202,2206,2213,2220,2232,2244,2256,2266,2270,2274],{"__ignoreMap":512},[747,2203,2204],{"class":749,"line":750},[747,2205,1473],{"class":773},[747,2207,2208,2211],{"class":749,"line":516},[747,2209,2210],{"class":766},"  \"providers\"",[747,2212,1481],{"class":773},[747,2214,2215,2218],{"class":749,"line":513},[747,2216,2217],{"class":766},"    \"zai\"",[747,2219,1481],{"class":773},[747,2221,2222,2225,2227,2230],{"class":749,"line":546},[747,2223,2224],{"class":766},"      \"id\"",[747,2226,1496],{"class":773},[747,2228,2229],{"class":757},"\"zai\"",[747,2231,1502],{"class":773},[747,2233,2234,2237,2239,2242],{"class":749,"line":547},[747,2235,2236],{"class":766},"      \"name\"",[747,2238,1496],{"class":773},[747,2240,2241],{"class":757},"\"ZAI Provider\"",[747,2243,1502],{"class":773},[747,2245,2246,2249,2251,2254],{"class":749,"line":811},[747,2247,2248],{"class":766},"      \"base_url\"",[747,2250,1496],{"class":773},[747,2252,2253],{"class":757},"\"https:\u002F\u002Fapi.z.ai\u002Fapi\u002Fcoding\u002Fpaas\u002Fv4\"",[747,2255,1502],{"class":773},[747,2257,2258,2261,2263],{"class":749,"line":816},[747,2259,2260],{"class":766},"      \"api_key\"",[747,2262,1496],{"class":773},[747,2264,2265],{"class":757},"\"your_api_key\"\n",[747,2267,2268],{"class":749,"line":822},[747,2269,1532],{"class":773},[747,2271,2272],{"class":749,"line":856},[747,2273,1537],{"class":773},[747,2275,2276],{"class":749,"line":861},[747,2277,1542],{"class":773},[20,2279,212],{"id":212},[214,2281,2282,2299],{},[217,2283,2284],{},[220,2285,2286,2288,2290,2293,2296],{},[223,2287,225],{},[223,2289,1903],{},[223,2291,2292],{},"Claude Code",[223,2294,2295],{},"Aider",[223,2297,2298],{},"Codex CLI",[238,2300,2301,2318,2335,2348,2362,2377,2389,2404,2418,2433],{},[220,2302,2303,2306,2309,2312,2315],{},[243,2304,2305],{},"TUI 颜值",[243,2307,2308],{},"✅ 顶级",[243,2310,2311],{},"✅ 良好",[243,2313,2314],{},"文本朴素",[243,2316,2317],{},"一般",[220,2319,2320,2323,2326,2329,2332],{},[243,2321,2322],{},"多模型切换",[243,2324,2325],{},"✅ mid-session",[243,2327,2328],{},"Claude only",[243,2330,2331],{},"✅ 任意",[243,2333,2334],{},"OpenAI only",[220,2336,2337,2340,2342,2344,2346],{},[243,2338,2339],{},"LSP",[243,2341,295],{},[243,2343,959],{},[243,2345,959],{},[243,2347,959],{},[220,2349,2350,2353,2356,2358,2360],{},[243,2351,2352],{},"MCP",[243,2354,2355],{},"✅ 全 transport",[243,2357,2355],{},[243,2359,959],{},[243,2361,962],{},[220,2363,2364,2367,2370,2373,2375],{},[243,2365,2366],{},"Skills",[243,2368,2369],{},"✅ 标准",[243,2371,2372],{},"✅ Skills 体系",[243,2374,959],{},[243,2376,959],{},[220,2378,2379,2381,2383,2385,2387],{},[243,2380,1950],{},[243,2382,295],{},[243,2384,295],{},[243,2386,959],{},[243,2388,959],{},[220,2390,2391,2394,2397,2399,2402],{},[243,2392,2393],{},"协议",[243,2395,2396],{},"FSL-1.1-MIT",[243,2398,944],{},[243,2400,2401],{},"Apache 2.0",[243,2403,944],{},[220,2405,2406,2408,2411,2413,2416],{},[243,2407,922],{},[243,2409,2410],{},"极广",[243,2412,931],{},[243,2414,2415],{},"全平台",[243,2417,931],{},[220,2419,2420,2422,2425,2428,2430],{},[243,2421,1658],{},[243,2423,2424],{},"$0 + API 费",[243,2426,2427],{},"API 费 \u002F Pro",[243,2429,2424],{},[243,2431,2432],{},"API 费 \u002F Plus",[220,2434,2435,2437,2440,2443,2446],{},[243,2436,1028],{},[243,2438,2439],{},"终端 + 多模型 + Power user",[243,2441,2442],{},"Anthropic 生态",[243,2444,2445],{},"Git refactor",[243,2447,2448],{},"OpenAI 生态",[20,2450,350],{"id":350},[40,2452,2453,2459,2471,2477,2483,2489,2494,2500,2506],{},[43,2454,2455,2458],{},[46,2456,2457],{},"FSL 协议商业审查","：商业竞品场景前法务过一遍，2 年后转 MIT",[43,2460,2461,2464,2465,2468,2469],{},[46,2462,2463],{},"API Key 管理","：用 ",[29,2466,2467],{},"pass"," \u002F 1Password CLI \u002F direnv，不硬编码 ",[29,2470,2062],{},[43,2472,2473,2476],{},[46,2474,2475],{},"breaking change 跟进","：160+ releases 节奏快，pin 版本到 stable",[43,2478,2479,2482],{},[46,2480,2481],{},"LSP 启动慢","：大项目首次启动数秒，正常现象",[43,2484,2485,2488],{},[46,2486,2487],{},"Ollama 本地优先","：日常简单任务跑 7B，复杂任务再切云",[43,2490,2491,2493],{},[46,2492,400],{},"：原生 PowerShell 有 ANSI 渲染坑",[43,2495,2496,2499],{},[46,2497,2498],{},"AGENTS.md 写好","：项目 context 决定 80% 体验，按官方模板写",[43,2501,2502,2505],{},[46,2503,2504],{},"session 切换勤快点","：不同任务开不同 session，history 干净",[43,2507,2508,2511],{},[46,2509,2510],{},"MCP server 信任评估","：装新 MCP 前看 source \u002F 权限",[20,2513,405],{"id":404},[40,2515,2516,2519,2522,2525,2528,2531,2534,2537],{},[43,2517,2518],{},"✅ 终端主力 \u002F SSH 远程开发",[43,2520,2521],{},"✅ 多模型用户（Claude + GPT + Gemini + Ollama 一起用）",[43,2523,2524],{},"✅ Go \u002F Rust \u002F TS \u002F Python 大型项目（LSP 加成大）",[43,2526,2527],{},"✅ 不想被单一 vendor 绑定",[43,2529,2530],{},"❌ 纯 GUI \u002F IDE 党",[43,2532,2533],{},"❌ 要 Anthropic 官方 Skills 体系（用 Claude Code）",[43,2535,2536],{},"❌ 要 OpenAI 桌面深度（用 Codex）",[43,2538,2539],{},"❌ 商业竞品 \u002F 法务严格场景（FSL 协议要审）",[20,2541,469],{"id":469},[40,2543,2544,2550,2556],{},[43,2545,2546],{},[473,2547,2549],{"href":2548},"\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code","Claude Code 评测",[43,2551,2552],{},[473,2553,2555],{"href":2554},"\u002Ftools\u002Fcoding\u002Fcli\u002Faider","Aider 评测",[43,2557,2558],{},[473,2559,2561],{"href":2560},"\u002Ftools\u002Fcoding\u002Fcli\u002Fcodex","Codex 评测",[20,2563,488],{"id":488},[173,2565,2566,2573,2580,2587],{},[43,2567,2568,2569],{},"Charmbracelet\u002Fcrush GitHub（24.7k stars \u002F 160 releases \u002F FSL-1.1-MIT）",[473,2570,2571],{"href":2571,"rel":2572},"https:\u002F\u002Fgithub.com\u002Fcharmbracelet\u002Fcrush",[502],[43,2574,2575,2576],{},"Artificialus — Crush 评测 2026 ",[473,2577,2578],{"href":2578,"rel":2579},"https:\u002F\u002Fartificialus.com\u002Fagents\u002Fcrush",[502],[43,2581,2582,2583],{},"Typevar — Crush 入门 + 安装 ",[473,2584,2585],{"href":2585,"rel":2586},"https:\u002F\u002Ftypevar.dev\u002Farticles\u002Fcharmbracelet\u002Fcrush",[502],[43,2588,2589,2590],{},"Z.AI Devpack — Crush + GLM Coding Plan 集成 ",[473,2591,2592],{"href":2592,"rel":2593},"https:\u002F\u002Fdocs.z.ai\u002Fdevpack\u002Ftool\u002Fcrush",[502],[1176,2595,2596],{},"html pre.shiki code .sJ8bj, html code.shiki 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\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。",[2612,2615,2618,2621],{"q":2613,"a":2614},"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":2616,"a":2617},"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":2619,"a":2620},"用什么模型最划算？","Crush 不绑定模型，常见组合：Anthropic Claude 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160 releases）",{"name":2644,"url":2578,"accessed":1241},"Artificialus — Crush 评测（功能 \u002F 协议 \u002F 平台覆盖）",{"name":2646,"url":2585,"accessed":1241},"Typevar — Crush 入门 + 使用场景",{"name":2648,"url":2592,"accessed":1241},"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",[2652,2653,2654,2655,1894,558,2656],"terminal-agent","tui","multi-model","lsp","charmbracelet","终端原生 AI agent 的标杆——TUI 颜值 + 多模型切换 + LSP + MCP + Skills 全栈。终端控 \u002F 远程开发 \u002F SSH 工作流首选。GUI \u002F IDE 党仍建议 Cursor \u002F Claude Code。","JcyUrJjhnK2gOOQhly1BuvX9VyfJTsgOqiPPOlkUG_s",{"id":9,"title":10,"alternatives":2660,"api_compatible":15,"body":2661,"category":527,"chinese_friendly":516,"cover":528,"description":529,"domestic":530,"extension":531,"faq":15,"free":530,"github":508,"languages":3008,"lastVerified":534,"meta":3009,"models":15,"navigation":536,"notSuitable":15,"opensource":536,"path":537,"pillar":538,"platforms":3010,"priceTable":15,"pricing":543,"published":544,"relatedPlaybooks":15,"relatedReviews":15,"score":3011,"self_host":530,"seo":3012,"seoTitle":549,"slug":550,"sources":3013,"stem":554,"suitable":15,"tagline":555,"tags":3016,"updated":534,"verdict":562,"website":500,"__hash__":563},[12,13,14],{"type":17,"value":2662,"toc":2995},[2663,2665,2669,2671,2673,2709,2711,2713,2715,2721,2725,2741,2745,2759,2761,2785,2787,2889,2891,2925,2927,2947,2949,2953,2957,2963,2967,2969,2977,2979,2983],[20,2664,23],{"id":22},[25,2666,27,2667,32],{},[29,2668,31],{},[25,2670,35],{},[20,2672,38],{"id":38},[40,2674,2675,2679,2683,2687,2691,2695,2699,2705],{},[43,2676,2677,49],{},[46,2678,48],{},[43,2680,2681,55],{},[46,2682,54],{},[43,2684,2685,61],{},[46,2686,60],{},[43,2688,2689,67],{},[46,2690,66],{},[43,2692,2693,73],{},[46,2694,72],{},[43,2696,2697,79],{},[46,2698,78],{},[43,2700,2701,85,2703,89],{},[46,2702,84],{},[29,2704,88],{},[43,2706,2707,95],{},[46,2708,94],{},[20,2710,98],{"id":98},[25,2712,101],{},[20,2714,105],{"id":104},[107,2716,2717],{},[25,2718,111,2719,115],{},[46,2720,114],{},[25,2722,2723],{},[46,2724,120],{},[40,2726,2727,2731,2733,2735,2737,2739],{},[43,2728,2729,128],{},[29,2730,127],{},[43,2732,131],{},[43,2734,134],{},[43,2736,137],{},[43,2738,140],{},[43,2740,143],{},[25,2742,2743],{},[46,2744,148],{},[40,2746,2747,2749,2751,2753,2755,2757],{},[43,2748,153],{},[43,2750,156],{},[43,2752,159],{},[43,2754,162],{},[43,2756,165],{},[43,2758,168],{},[20,2760,171],{"id":171},[173,2762,2763,2767,2773,2777,2779,2783],{},[43,2764,177,2765],{},[29,2766,180],{},[43,2768,183,2769,187,2771,191],{},[29,2770,186],{},[29,2772,190],{},[43,2774,194,2775,197],{},[29,2776,127],{},[43,2778,200],{},[43,2780,203,2781,206],{},[29,2782,88],{},[43,2784,209],{},[20,2786,212],{"id":212},[214,2788,2789,2803],{},[217,2790,2791],{},[220,2792,2793,2795,2797,2799,2801],{},[223,2794,225],{},[223,2796,10],{},[223,2798,230],{},[223,2800,233],{},[223,2802,236],{},[238,2804,2805,2817,2829,2841,2853,2865,2877],{},[220,2806,2807,2809,2811,2813,2815],{},[243,2808,245],{},[243,2810,248],{},[243,2812,251],{},[243,2814,254],{},[243,2816,254],{},[220,2818,2819,2821,2823,2825,2827],{},[243,2820,261],{},[243,2822,264],{},[243,2824,267],{},[243,2826,270],{},[243,2828,273],{},[220,2830,2831,2833,2835,2837,2839],{},[243,2832,278],{},[243,2834,281],{},[243,2836,284],{},[243,2838,284],{},[243,2840,284],{},[220,2842,2843,2845,2847,2849,2851],{},[243,2844,66],{},[243,2846,295],{},[243,2848,298],{},[243,2850,295],{},[243,2852,295],{},[220,2854,2855,2857,2859,2861,2863],{},[243,2856,307],{},[243,2858,310],{},[243,2860,267],{},[243,2862,295],{},[243,2864,295],{},[220,2866,2867,2869,2871,2873,2875],{},[243,2868,321],{},[243,2870,324],{},[243,2872,327],{},[243,2874,330],{},[243,2876,330],{},[220,2878,2879,2881,2883,2885,2887],{},[243,2880,337],{},[243,2882,340],{},[243,2884,343],{},[243,2886,340],{},[243,2888,340],{},[20,2890,350],{"id":350},[40,2892,2893,2899,2905,2909,2913,2917,2921],{},[43,2894,2895,358,2897,361],{},[46,2896,357],{},[29,2898,88],{},[43,2900,2901,367,2903,371],{},[46,2902,366],{},[29,2904,370],{},[43,2906,2907,377],{},[46,2908,376],{},[43,2910,2911,383],{},[46,2912,382],{},[43,2914,2915,389],{},[46,2916,388],{},[43,2918,2919,395],{},[46,2920,394],{},[43,2922,2923,401],{},[46,2924,400],{},[20,2926,405],{"id":404},[40,2928,2929,2931,2933,2935,2937,2939,2941,2943,2945],{},[43,2930,410],{},[43,2932,413],{},[43,2934,416],{},[43,2936,419],{},[43,2938,422],{},[43,2940,425],{},[43,2942,428],{},[43,2944,431],{},[43,2946,434],{},[20,2948,438],{"id":437},[25,2950,2951,444],{},[46,2952,443],{},[25,2954,2955,450],{},[46,2956,449],{},[25,2958,2959,456,2961,460],{},[46,2960,455],{},[29,2962,459],{},[25,2964,2965,466],{},[46,2966,465],{},[20,2968,469],{"id":469},[25,2970,2971,477,2973,477,2975],{},[473,2972,476],{"href":475},[473,2974,481],{"href":480},[473,2976,485],{"href":484},[20,2978,488],{"id":488},[107,2980,2981],{},[25,2982,493],{},[40,2984,2985,2990],{},[43,2986,2987],{},[473,2988,503],{"href":500,"rel":2989},[502],[43,2991,2992],{},[473,2993,510],{"href":508,"rel":2994},[502],{"title":512,"searchDepth":513,"depth":513,"links":2996},[2997,2998,2999,3000,3001,3002,3003,3004,3005,3006,3007],{"id":22,"depth":516,"text":23},{"id":38,"depth":516,"text":38},{"id":98,"depth":516,"text":98},{"id":104,"depth":516,"text":105},{"id":171,"depth":516,"text":171},{"id":212,"depth":516,"text":212},{"id":350,"depth":516,"text":350},{"id":404,"depth":516,"text":405},{"id":437,"depth":516,"text":438},{"id":469,"depth":516,"text":469},{"id":488,"depth":516,"text":488},[533],{},[540,541,542],{"power":546,"ux":513,"price":547,"cn_support":516,"stability":513},{"title":10,"description":529},[3014,3015],{"title":503,"url":500},{"title":510,"url":508},[557,558,559,560,561],{"id":3018,"title":912,"alternatives":3019,"api_compatible":15,"body":3020,"category":527,"chinese_friendly":546,"cover":3687,"description":3688,"domestic":530,"extension":531,"faq":3689,"free":530,"github":15,"languages":3701,"lastVerified":15,"meta":3702,"models":15,"navigation":536,"notSuitable":15,"opensource":536,"path":1135,"pillar":538,"platforms":3703,"priceTable":3705,"pricing":3709,"published":1229,"relatedPlaybooks":3710,"relatedReviews":15,"score":3712,"self_host":536,"seo":3713,"seoTitle":3714,"slug":14,"sources":3715,"stem":3724,"suitable":15,"tagline":3725,"tags":3726,"updated":1241,"verdict":3732,"website":3733,"__hash__":3734},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[12,1237,1262],{"type":17,"value":3021,"toc":3675},[3022,3024,3027,3030,3032,3100,3102,3116,3120,3124,3147,3151,3177,3179,3333,3336,3368,3370,3532,3534,3596,3598,3624,3626,3640,3642,3672],[20,3023,23],{"id":22},[25,3025,3026],{},"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。",[25,3028,3029],{},"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。",[20,3031,38],{"id":38},[40,3033,3034,3040,3046,3052,3058,3064,3070,3076,3082,3088,3094],{},[43,3035,3036,3039],{},[46,3037,3038],{},"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",[43,3041,3042,3045],{},[46,3043,3044],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[43,3047,3048,3051],{},[46,3049,3050],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[43,3053,3054,3057],{},[46,3055,3056],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[43,3059,3060,3063],{},[46,3061,3062],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[43,3065,3066,3069],{},[46,3067,3068],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[43,3071,3072,3075],{},[46,3073,3074],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[43,3077,3078,3081],{},[46,3079,3080],{},"多 LLM provider","：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[43,3083,3084,3087],{},[46,3085,3086],{},"MCP 兼容","：可调用 MCP server",[43,3089,3090,3093],{},[46,3091,3092],{},"Web Control UI","：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[43,3095,3096,3099],{},[46,3097,3098],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[20,3101,98],{"id":98},[40,3103,3104,3110,3113],{},[43,3105,3106,3109],{},[46,3107,3108],{},"Self-host OSS","：$0；MIT 完全开放",[43,3111,3112],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[43,3114,3115],{},"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",[20,3117,3119],{"id":3118},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[25,3121,3122],{},[46,3123,120],{},[40,3125,3126,3129,3132,3135,3138,3141,3144],{},[43,3127,3128],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[43,3130,3131],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[43,3133,3134],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[43,3136,3137],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[43,3139,3140],{},"本地 Ollama 路径让数据 + 隐私完全自主",[43,3142,3143],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[43,3145,3146],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[25,3148,3149],{},[46,3150,148],{},[40,3152,3153,3156,3159,3162,3165,3168,3171,3174],{},[43,3154,3155],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[43,3157,3158],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[43,3160,3161],{},"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",[43,3163,3164],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[43,3166,3167],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[43,3169,3170],{},"Web Control UI 在大量 session 下渲染偏慢",[43,3172,3173],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[43,3175,3176],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[20,3178,171],{"id":171},[739,3180,3182],{"className":741,"code":3181,"language":743,"meta":512,"style":512},"# 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",[29,3183,3184,3189,3200,3208,3212,3217,3236,3246,3251,3255,3260,3269,3290,3294,3299,3306,3310,3314,3322],{"__ignoreMap":512},[747,3185,3186],{"class":749,"line":750},[747,3187,3188],{"class":796},"# 方法一：NPM\n",[747,3190,3191,3193,3195,3197],{"class":749,"line":516},[747,3192,2102],{"class":753},[747,3194,780],{"class":757},[747,3196,2107],{"class":766},[747,3198,3199],{"class":757}," openclaw\n",[747,3201,3202,3205],{"class":749,"line":513},[747,3203,3204],{"class":753},"openclaw",[747,3206,3207],{"class":766}," --version\n",[747,3209,3210],{"class":749,"line":546},[747,3211,791],{"emptyLinePlaceholder":536},[747,3213,3214],{"class":749,"line":547},[747,3215,3216],{"class":796},"# 方法二：Docker\n",[747,3218,3219,3222,3225,3228,3231,3234],{"class":749,"line":811},[747,3220,3221],{"class":753},"docker",[747,3223,3224],{"class":757}," run",[747,3226,3227],{"class":766}," -d",[747,3229,3230],{"class":766}," --name",[747,3232,3233],{"class":757}," openclaw",[747,3235,875],{"class":766},[747,3237,3238,3241,3244],{"class":749,"line":816},[747,3239,3240],{"class":766},"  -v",[747,3242,3243],{"class":757}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[747,3245,875],{"class":766},[747,3247,3248],{"class":749,"line":822},[747,3249,3250],{"class":757},"  openclaw\u002Fopenclaw:latest\n",[747,3252,3253],{"class":749,"line":856},[747,3254,791],{"emptyLinePlaceholder":536},[747,3256,3257],{"class":749,"line":861},[747,3258,3259],{"class":796},"# 方法三：源码\n",[747,3261,3262,3264,3266],{"class":749,"line":867},[747,3263,754],{"class":753},[747,3265,758],{"class":757},[747,3267,3268],{"class":757}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[747,3270,3271,3273,3275,3277,3279,3281,3283,3285,3287],{"class":749,"line":878},[747,3272,767],{"class":766},[747,3274,3233],{"class":757},[747,3276,774],{"class":773},[747,3278,2102],{"class":753},[747,3280,780],{"class":757},[747,3282,774],{"class":773},[747,3284,2102],{"class":753},[747,3286,3224],{"class":757},[747,3288,3289],{"class":757}," start\n",[747,3291,3292],{"class":749,"line":889},[747,3293,791],{"emptyLinePlaceholder":536},[747,3295,3296],{"class":749,"line":2171},[747,3297,3298],{"class":796},"# 引导配置（model \u002F channel \u002F 权限）\n",[747,3300,3301,3303],{"class":749,"line":2177},[747,3302,3204],{"class":753},[747,3304,3305],{"class":757}," onboard\n",[747,3307,3308],{"class":749,"line":2183},[747,3309,791],{"emptyLinePlaceholder":536},[747,3311,3312],{"class":749,"line":2188},[747,3313,2174],{"class":796},[747,3315,3317,3319],{"class":749,"line":3316},18,[747,3318,3204],{"class":753},[747,3320,3321],{"class":796},"                 # CLI\n",[747,3323,3325,3327,3330],{"class":749,"line":3324},19,[747,3326,3204],{"class":753},[747,3328,3329],{"class":757}," dashboard",[747,3331,3332],{"class":796},"       # Web UI\n",[25,3334,3335],{},"配本地免费 Ollama：",[739,3337,3339],{"className":741,"code":3338,"language":743,"meta":512,"style":512},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[29,3340,3341,3352],{"__ignoreMap":512},[747,3342,3343,3346,3349],{"class":749,"line":750},[747,3344,3345],{"class":753},"ollama",[747,3347,3348],{"class":757}," pull",[747,3350,3351],{"class":757}," llama3\n",[747,3353,3354,3356,3359,3362,3365],{"class":749,"line":516},[747,3355,3204],{"class":753},[747,3357,3358],{"class":757}," config",[747,3360,3361],{"class":757}," set",[747,3363,3364],{"class":757}," ai.provider",[747,3366,3367],{"class":757}," \"ollama\"\n",[20,3369,212],{"id":212},[214,3371,3372,3386],{},[217,3373,3374],{},[220,3375,3376,3378,3380,3382,3384],{},[223,3377,225],{},[223,3379,912],{},[223,3381,230],{},[223,3383,569],{},[223,3385,1903],{},[238,3387,3388,3404,3418,3432,3448,3461,3473,3488,3503,3517],{},[220,3389,3390,3392,3395,3398,3401],{},[243,3391,245],{},[243,3393,3394],{},"IM 网关 + 多 Agent 自治",[243,3396,3397],{},"桌面客户端 + MCP",[243,3399,3400],{},"Phone\u002FWeb GUI agent",[243,3402,3403],{},"终端 TUI agent",[220,3405,3406,3409,3412,3414,3416],{},[243,3407,3408],{},"7×24 Heartbeat",[243,3410,3411],{},"✅ 30 分钟",[243,3413,959],{},[243,3415,959],{},[243,3417,959],{},[220,3419,3420,3423,3426,3428,3430],{},[243,3421,3422],{},"多 IM 渠道",[243,3424,3425],{},"✅ 20+",[243,3427,959],{},[243,3429,959],{},[243,3431,959],{},[220,3433,3434,3437,3440,3443,3445],{},[243,3435,3436],{},"Skills 市场",[243,3438,3439],{},"✅ ClawHub 5400+",[243,3441,3442],{},"✅ MCP Connectors",[243,3444,959],{},[243,3446,3447],{},"✅ Agent Skills 标准",[220,3449,3450,3452,3454,3456,3458],{},[243,3451,3050],{},[243,3453,295],{},[243,3455,1305],{},[243,3457,959],{},[243,3459,3460],{},"session",[220,3462,3463,3465,3467,3469,3471],{},[243,3464,261],{},[243,3466,273],{},[243,3468,944],{},[243,3470,941],{},[243,3472,2396],{},[220,3474,3475,3478,3481,3483,3486],{},[243,3476,3477],{},"本地 LLM",[243,3479,3480],{},"✅ Ollama 友好",[243,3482,959],{},[243,3484,3485],{},"✅ 9B 自模型",[243,3487,295],{},[220,3489,3490,3493,3496,3499,3501],{},[243,3491,3492],{},"中国大陆友好",[243,3494,3495],{},"✅ 完全",[243,3497,3498],{},"❌ 支付",[243,3500,295],{},[243,3502,1597],{},[220,3504,3505,3507,3509,3512,3514],{},[243,3506,1658],{},[243,3508,1216],{},[243,3510,3511],{},"$20\u002F月 +",[243,3513,1216],{},[243,3515,3516],{},"$0 + API",[220,3518,3519,3521,3524,3526,3529],{},[243,3520,1028],{},[243,3522,3523],{},"7×24 IM 触发个人 agent",[243,3525,1034],{},[243,3527,3528],{},"Phone GUI",[243,3530,3531],{},"终端 power user",[20,3533,350],{"id":350},[40,3535,3536,3542,3548,3554,3560,3566,3572,3578,3584,3590],{},[43,3537,3538,3541],{},[46,3539,3540],{},"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",[43,3543,3544,3547],{},[46,3545,3546],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[43,3549,3550,3553],{},[46,3551,3552],{},"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",[43,3555,3556,3559],{},[46,3557,3558],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[43,3561,3562,3565],{},[46,3563,3564],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[43,3567,3568,3571],{},[46,3569,3570],{},"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",[43,3573,3574,3577],{},[46,3575,3576],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[43,3579,3580,3583],{},[46,3581,3582],{},"Windows 走 WSL2","：原生 Windows 兼容差",[43,3585,3586,3589],{},[46,3587,3588],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[43,3591,3592,3595],{},[46,3593,3594],{},"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",[20,3597,405],{"id":404},[40,3599,3600,3603,3606,3609,3612,3615,3618,3621],{},[43,3601,3602],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[43,3604,3605],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[43,3607,3608],{},"✅ 数据隐私敏感 + 自托管刚需",[43,3610,3611],{},"✅ 中国大陆用户走本地 Ollama 全免费",[43,3613,3614],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[43,3616,3617],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[43,3619,3620],{},"❌ 要一键就跑的非技术用户",[43,3622,3623],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[20,3625,469],{"id":469},[40,3627,3628,3632,3636],{},[43,3629,3630],{},[473,3631,1130],{"href":1129},[43,3633,3634],{},[473,3635,1781],{"href":1209},[43,3637,3638],{},[473,3639,1787],{"href":1786},[20,3641,488],{"id":488},[173,3643,3644,3651,3658,3665],{},[43,3645,3646,3647],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[473,3648,3649],{"href":3649,"rel":3650},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[502],[43,3652,3653,3654],{},"技术栈 — OpenClaw 2026 实战指南 ",[473,3655,3656],{"href":3656,"rel":3657},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[502],[43,3659,3660,3661],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[473,3662,3663],{"href":3663,"rel":3664},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[502],[43,3666,3667,3668],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[473,3669,3670],{"href":3670,"rel":3671},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[502],[1176,3673,3674],{},"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: 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var(--shiki-dark-text-decoration);}",{"title":512,"searchDepth":513,"depth":513,"links":3676},[3677,3678,3679,3680,3681,3682,3683,3684,3685,3686],{"id":22,"depth":516,"text":23},{"id":38,"depth":516,"text":38},{"id":98,"depth":516,"text":98},{"id":3118,"depth":516,"text":3119},{"id":171,"depth":516,"text":171},{"id":212,"depth":516,"text":212},{"id":350,"depth":516,"text":350},{"id":404,"depth":516,"text":405},{"id":469,"depth":516,"text":469},{"id":488,"depth":516,"text":488},"\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。",[3690,3693,3696,3699],{"q":3691,"a":3692},"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":3694,"a":3695},"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":3697,"a":3698},"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":1845,"a":3700},"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。",[533,1207,1851],{},[541,542,3704,3221],"windows-wsl",[3706],{"plan":3108,"price":1216,"features":3707,"notes":3708},"MIT 全开源 + Gateway + 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模型选择）",[43,4921,4922],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[43,4924,4925],{},"中文 prompt 效果依赖底层模型",[43,4927,4928],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[20,4930,171],{"id":171},[739,4932,4934],{"className":741,"code":4933,"language":743,"meta":512,"style":512},"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",[29,4935,4936,4945,4952,4977,4987,4997,5001,5006,5017,5022,5026,5031,5038,5042,5047],{"__ignoreMap":512},[747,4937,4938,4940,4942],{"class":749,"line":750},[747,4939,754],{"class":753},[747,4941,758],{"class":757},[747,4943,4944],{"class":757}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[747,4946,4947,4949],{"class":749,"line":516},[747,4948,767],{"class":766},[747,4950,4951],{"class":757}," OpenManus\n",[747,4953,4954,4957,4960,4963,4966,4968,4971,4974],{"class":749,"line":513},[747,4955,4956],{"class":753},"python3.12",[747,4958,4959],{"class":766}," -m",[747,4961,4962],{"class":757}," venv",[747,4964,4965],{"class":757}," .venv",[747,4967,774],{"class":773},[747,4969,4970],{"class":766},"source",[747,4972,4973],{"class":757}," .venv\u002Fbin\u002Factivate",[747,4975,4976],{"class":796},"  # 或 .venv\\Scripts\\activate\n",[747,4978,4979,4981,4983,4985],{"class":749,"line":546},[747,4980,777],{"class":753},[747,4982,780],{"class":757},[747,4984,783],{"class":766},[747,4986,786],{"class":757},[747,4988,4989,4992,4994],{"class":749,"line":547},[747,4990,4991],{"class":753},"playwright",[747,4993,780],{"class":757},[747,4995,4996],{"class":757}," chromium\n",[747,4998,4999],{"class":749,"line":811},[747,5000,791],{"emptyLinePlaceholder":536},[747,5002,5003],{"class":749,"line":816},[747,5004,5005],{"class":796},"# 配 LLM API\n",[747,5007,5008,5011,5014],{"class":749,"line":822},[747,5009,5010],{"class":753},"cp",[747,5012,5013],{"class":757}," config\u002Fconfig.example.toml",[747,5015,5016],{"class":757}," config\u002Fconfig.toml\n",[747,5018,5019],{"class":749,"line":856},[747,5020,5021],{"class":796},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[747,5023,5024],{"class":749,"line":861},[747,5025,791],{"emptyLinePlaceholder":536},[747,5027,5028],{"class":749,"line":867},[747,5029,5030],{"class":796},"# 单 agent 模式\n",[747,5032,5033,5035],{"class":749,"line":878},[747,5034,561],{"class":753},[747,5036,5037],{"class":757}," main.py\n",[747,5039,5040],{"class":749,"line":889},[747,5041,791],{"emptyLinePlaceholder":536},[747,5043,5044],{"class":749,"line":2171},[747,5045,5046],{"class":796},"# 多 agent 模式\n",[747,5048,5049,5051],{"class":749,"line":2177},[747,5050,561],{"class":753},[747,5052,5053],{"class":757}," run_flow.py\n",[25,5055,5056],{},"试任务示例：",[739,5058,5063],{"className":5059,"code":5061,"language":5062},[5060],"language-text","> 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","text",[29,5064,5061],{"__ignoreMap":512},[20,5066,212],{"id":212},[214,5068,5069,5086],{},[217,5070,5071],{},[220,5072,5073,5075,5077,5080,5083],{},[223,5074,225],{},[223,5076,233],{},[223,5078,5079],{},"LangChain",[223,5081,5082],{},"AutoGPT",[223,5084,5085],{},"CrewAI",[238,5087,5088,5104,5118,5130,5145,5158,5172,5185,5202,5215],{},[220,5089,5090,5092,5095,5098,5101],{},[243,5091,245],{},[243,5093,5094],{},"现成 agent 实现",[243,5096,5097],{},"building blocks",[243,5099,5100],{},"早期通用 agent",[243,5102,5103],{},"多 agent 框架",[220,5105,5106,5109,5112,5114,5116],{},[243,5107,5108],{},"浏览器自动化",[243,5110,5111],{},"✅ Playwright",[243,5113,959],{},[243,5115,962],{},[243,5117,959],{},[220,5119,5120,5122,5124,5126,5128],{},[243,5121,2352],{},[243,5123,295],{},[243,5125,962],{},[243,5127,959],{},[243,5129,959],{},[220,5131,5132,5135,5138,5141,5143],{},[243,5133,5134],{},"多 agent",[243,5136,5137],{},"✅ orchestration",[243,5139,5140],{},"需自搭",[243,5142,267],{},[243,5144,1577],{},[220,5146,5147,5150,5152,5154,5156],{},[243,5148,5149],{},"DataAnalysis 内置",[243,5151,295],{},[243,5153,959],{},[243,5155,959],{},[243,5157,959],{},[220,5159,5160,5163,5166,5168,5170],{},[243,5161,5162],{},"RL 微调",[243,5164,5165],{},"✅ OpenManus-RL",[243,5167,959],{},[243,5169,959],{},[243,5171,959],{},[220,5173,5174,5176,5179,5181,5183],{},[243,5175,2393],{},[243,5177,5178],{},"MIT",[243,5180,5178],{},[243,5182,5178],{},[243,5184,5178],{},[220,5186,5187,5190,5193,5196,5199],{},[243,5188,5189],{},"Stars",[243,5191,5192],{},"52k+",[243,5194,5195],{},"100k+",[243,5197,5198],{},"170k+",[243,5200,5201],{},"30k+",[220,5203,5204,5206,5208,5211,5213],{},[243,5205,171],{},[243,5207,340],{},[243,5209,5210],{},"难",[243,5212,340],{},[243,5214,340],{},[220,5216,5217,5219,5222,5225,5228],{},[243,5218,1028],{},[243,5220,5221],{},"自托管 Manus 复刻",[243,5223,5224],{},"底层 framework",[243,5226,5227],{},"学习经典",[243,5229,5230],{},"多 agent 协作",[20,5232,350],{"id":350},[40,5234,5235,5241,5251,5257,5263,5269,5275,5281,5287],{},[43,5236,5237,5240],{},[46,5238,5239],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[43,5242,5243,5246,5247,5250],{},[46,5244,5245],{},"Playwright 依赖大","：首次 ",[29,5248,5249],{},"playwright install"," 下 chromium 慢，国内走镜像",[43,5252,5253,5256],{},[46,5254,5255],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[43,5258,5259,5262],{},[46,5260,5261],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[43,5264,5265,5268],{},[46,5266,5267],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[43,5270,5271,5274],{},[46,5272,5273],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[43,5276,5277,5280],{},[46,5278,5279],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[43,5282,5283,5286],{},[46,5284,5285],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[43,5288,5289,5292],{},[46,5290,5291],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[20,5294,405],{"id":404},[40,5296,5297,5300,5303,5306,5309,5312,5315,5318],{},[43,5298,5299],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[43,5301,5302],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[43,5304,5305],{},"✅ 隐私敏感 + 不愿数据上商业云",[43,5307,5308],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[43,5310,5311],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[43,5313,5314],{},"❌ 要 GUI \u002F 上手即用",[43,5316,5317],{},"❌ 生产级稳定（文档滞后 + 演进快）",[43,5319,5320],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[20,5322,469],{"id":469},[40,5324,5325,5331,5337],{},[43,5326,5327],{},[473,5328,5330],{"href":5329},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[43,5332,5333],{},[473,5334,5336],{"href":5335},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[43,5338,5339],{},[473,5340,5342],{"href":5341},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[20,5344,488],{"id":488},[173,5346,5347,5354,5361,5368],{},[43,5348,5349,5350],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[473,5351,5352],{"href":5352,"rel":5353},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[502],[43,5355,5356,5357],{},"Foundation Agents — OpenManus 项目介绍 ",[473,5358,5359],{"href":5359,"rel":5360},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[502],[43,5362,5363,5364],{},"Toolsverse — OpenManus 评测 + 52k stars ",[473,5365,5366],{"href":5366,"rel":5367},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[502],[43,5369,5370,5371],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[473,5372,5373],{"href":5373,"rel":5374},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[502],[1176,5376,5377],{},"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":512,"searchDepth":513,"depth":513,"links":5379},[5380,5381,5382,5383,5384,5385,5386,5387,5388,5389],{"id":22,"depth":516,"text":23},{"id":38,"depth":516,"text":38},{"id":98,"depth":516,"text":98},{"id":4867,"depth":516,"text":4868},{"id":171,"depth":516,"text":171},{"id":212,"depth":516,"text":212},{"id":350,"depth":516,"text":350},{"id":404,"depth":516,"text":405},{"id":469,"depth":516,"text":469},{"id":488,"depth":516,"text":488},"general","\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。",[5394,5397,5400,5403],{"q":5395,"a":5396},"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":5398,"a":5399},"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":5401,"a":5402},"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":5404,"a":5405},"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。",[533,1207,1851],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[542,541,540,3221],[5411],{"plan":4854,"price":1216,"features":5412,"notes":5413},"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）",[5416],"onboarding\u002Fopen-source-general-agent",[5418,5419],"openhuman-deep-review","openmanus-deep-review",{"power":547,"ux":513,"price":547,"cn_support":546,"stability":513},{"title":233,"description":5392},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[5424,5426,5428,5430],{"name":5425,"url":5352,"accessed":1241},"OpenManus GitHub（FoundationAgents 组织）",{"name":5427,"url":5359,"accessed":1241},"Foundation Agents — OpenManus 项目介绍",{"name":5429,"url":5366,"accessed":1241},"Toolsverse — OpenManus 评测 + 52k stars",{"name":5431,"url":5373,"accessed":1241},"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",[558,3729,5435,1894,5436,5437],"browser-automation","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","27xZ_sl8oK4xtfoZj-H7oK3WtsdrfyluCPcf_wJzlRM",1785428434886]