[{"data":1,"prerenderedAt":2684},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-open-interpreter":8,"alt-list-open-interpreter":568},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},23,{"id":9,"title":10,"alternatives":11,"api_compatible":15,"body":19,"category":530,"chinese_friendly":519,"cover":531,"description":532,"domestic":533,"extension":534,"faq":535,"free":536,"github":511,"languages":537,"lastVerified":539,"meta":540,"models":535,"navigation":536,"notSuitable":535,"opensource":536,"path":541,"pillar":542,"platforms":543,"priceTable":535,"pricing":547,"published":548,"relatedPlaybooks":535,"relatedReviews":535,"score":549,"self_host":533,"seo":552,"seoTitle":553,"slug":554,"sources":555,"stem":558,"suitable":535,"tagline":559,"tags":560,"updated":539,"verdict":566,"website":503,"__hash__":567},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopen-interpreter.md","Open Interpreter",[12,13,14],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fgeneral\u002Fopenmanus","agent\u002Fdesktop\u002Fopenclaw",[16,17,18],"OpenAI","Anthropic","Google",{"type":20,"value":21,"toc":514},"minimark",[22,27,36,39,42,99,102,105,109,119,124,147,152,172,175,213,216,351,354,405,409,438,442,448,454,464,470,473,489,492,497],[23,24,26],"h2",{"id":25},"tldr","TL;DR",[28,29,30,31,35],"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，",[32,33,34],"code",{},"pip install"," 即用。",[28,37,38],{},"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）。",[23,40,41],{"id":41},"核心能力",[43,44,45,53,59,65,71,77,83,93],"ul",{},[46,47,48,52],"li",{},[49,50,51],"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",[46,54,55,58],{},[49,56,57],{},"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",[46,60,61,64],{},[49,62,63],{},"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",[46,66,67,70],{},[49,68,69],{},"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",[46,72,73,76],{},[49,74,75],{},"多模型支持","：OpenAI \u002F Anthropic \u002F Google \u002F Ollama \u002F LM Studio \u002F 任何 OpenAI 兼容端点",[46,78,79,82],{},[49,80,81],{},"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",[46,84,85,88,89,92],{},[49,86,87],{},"执行确认机制","：每步代码执行前可选确认（",[32,90,91],{},"--auto_run"," 跳过），防止误操作",[46,94,95,98],{},[49,96,97],{},"多语言执行","：不限于 Python——JS、Shell、R、Ruby 等按需切换",[23,100,101],{"id":101},"价格",[28,103,104],{},"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）。",[23,106,108],{"id":107},"体验与评测资料整理","体验与评测（资料整理）",[110,111,112],"blockquote",{},[28,113,114,115,118],{},"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",[49,116,117],{},"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）。",[28,120,121],{},[49,122,123],{},"亮点：",[43,125,126,132,135,138,141,144],{},[46,127,128,131],{},[32,129,130],{},"interpreter"," 一行启动，配 API key 即用，对话式交互体验流畅",[46,133,134],{},"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",[46,136,137],{},"文件操作强——搜索、批量重命名、格式转换，比手写脚本快",[46,139,140],{},"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",[46,142,143],{},"配 Ollama 本地模型完全离线运行，隐私敏感任务不碰云",[46,145,146],{},"浏览器自动化——让它打开网页、填表、截图，比手动写 Playwright 脚本快",[28,148,149],{},[49,150,151],{},"踩坑：",[43,153,154,157,160,163,166,169],{},[46,155,156],{},"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",[46,158,159],{},"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",[46,161,162],{},"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",[46,164,165],{},"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",[46,167,168],{},"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",[46,170,171],{},"Windows 路径问题——部分 Shell 命令在 Windows 有兼容性 bug，Mac \u002F Linux 更稳",[23,173,174],{"id":174},"上手",[176,177,178,184,195,201,204,210],"ol",{},[46,179,180,181],{},"安装：",[32,182,183],{},"pip install open-interpreter",[46,185,186,187,190,191,194],{},"配模型：",[32,188,189],{},"interpreter --model claude-3-5-sonnet","（或 ",[32,192,193],{},"--model ollama\u002Fqwen3-coder:7b"," 用本地）",[46,196,197,198,200],{},"启动：",[32,199,130],{}," 进入交互式 REPL",[46,202,203],{},"描述任务：「把 ~\u002FDownloads 所有图片转成 webp，压缩到 80% 质量」",[46,205,206,207,209],{},"确认执行——每步代码执行前会提示确认（开发阶段别开 ",[32,208,91],{},"）",[46,211,212],{},"进阶：配自定义工具 \u002F MCP server 扩展 Agent 能力",[23,214,215],{"id":215},"对比",[217,218,219,240],"table",{},[220,221,222],"thead",{},[223,224,225,229,231,234,237],"tr",{},[226,227,228],"th",{},"维度",[226,230,10],{},[226,232,233],{},"Claude Desktop",[226,235,236],{},"OpenManus",[226,238,239],{},"Devika",[241,242,243,260,277,292,306,320,336],"tbody",{},[223,244,245,249,252,255,258],{},[246,247,248],"td",{},"形态",[246,250,251],{},"CLI",[246,253,254],{},"Desktop App",[246,256,257],{},"Web",[246,259,257],{},[223,261,262,265,268,271,274],{},[246,263,264],{},"开源",[246,266,267],{},"✅ AGPL",[246,269,270],{},"❌",[246,272,273],{},"✅ Apache 2.0",[246,275,276],{},"✅ MIT",[223,278,279,282,285,288,290],{},[246,280,281],{},"代码执行",[246,283,284],{},"✅ 本地真实",[246,286,287],{},"✅ 沙箱",[246,289,287],{},[246,291,287],{},[223,293,294,296,299,302,304],{},[246,295,69],{},[246,297,298],{},"✅",[246,300,301],{},"✅ Computer Use",[246,303,298],{},[246,305,298],{},[223,307,308,311,314,316,318],{},[246,309,310],{},"本地模型",[246,312,313],{},"✅ Ollama",[246,315,270],{},[246,317,298],{},[246,319,298],{},[223,321,322,325,328,331,334],{},[246,323,324],{},"安全性",[246,326,327],{},"⚠️ 低（真实执行）",[246,329,330],{},"✅ 高（沙箱）",[246,332,333],{},"✅ 高",[246,335,333],{},[223,337,338,341,344,347,349],{},[246,339,340],{},"稳定性",[246,342,343],{},"中",[246,345,346],{},"高",[246,348,343],{},[246,350,343],{},[23,352,353],{"id":353},"避坑",[43,355,356,365,375,381,387,393,399],{},[46,357,358,361,362,364],{},[49,359,360],{},"一定要开确认机制","：默认每步执行前确认，别图省事开 ",[32,363,91],{},"，LLM 误删文件的代价远大于点几下确认",[46,366,367,370,371,374],{},[49,368,369],{},"别在生产服务器跑","：Open Interpreter 有完整系统权限，LLM 幻觉可能跑出 ",[32,372,373],{},"rm -rf"," \u002F 覆盖配置文件等灾难操作",[46,376,377,380],{},[49,378,379],{},"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",[46,382,383,386],{},[49,384,385],{},"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",[46,388,389,392],{},[49,390,391],{},"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",[46,394,395,398],{},[49,396,397],{},"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",[46,400,401,404],{},[49,402,403],{},"Windows 用 WSL","：原生 Windows 有路径 \u002F 权限 \u002F Shell 兼容问题，WSL 下体验一致",[23,406,408],{"id":407},"适合-不适合","适合 \u002F 不适合",[43,410,411,414,417,420,423,426,429,432,435],{},[46,412,413],{},"✅ 技术用户做本地自动化（文件批处理、数据分析、系统管理）",[46,415,416],{},"✅ 探索性编程（让 AI 跑代码看结果再迭代）",[46,418,419],{},"✅ 原型开发 \u002F 快速脚本生成",[46,421,422],{},"✅ 想用本地模型（Ollama）做隐私敏感的自动化",[46,424,425],{},"✅ 学习 \u002F 研究本地 Agent 架构",[46,427,428],{},"❌ 生产环境（稳定性不够 + 安全风险高）",[46,430,431],{},"❌ 非技术用户（误操作风险大，确认机制需要判断力）",[46,433,434],{},"❌ 敏感数据环境（LLM 能访问所有文件）",[46,436,437],{},"❌ 商业闭源项目分发（AGPL 传染性协议）",[23,439,441],{"id":440},"faq","FAQ",[28,443,444,447],{},[49,445,446],{},"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。",[28,449,450,453],{},[49,451,452],{},"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。",[28,455,456,459,460,463],{},[49,457,458],{},"Q: 能用本地模型吗？","\nA: 可以。",[32,461,462],{},"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。",[28,465,466,469],{},[49,467,468],{},"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。",[23,471,472],{"id":472},"相关阅读",[28,474,475,480,481,480,485],{},[476,477,479],"a",{"href":478},"\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",null,true,[538],"en","2026-07-30",{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopen-interpreter","agent",[544,545,546],"windows","macos","linux","Free \u002F 开源（AGPL）","2026-07-05",{"power":550,"ux":516,"price":551,"cn_support":519,"stability":516},4,5,{"title":10,"description":532},"Open Interpreter - 本地代码执行 Agent 评测 | AIHO","agent\u002Fdesktop\u002Fopen-interpreter",[556,557],{"title":506,"url":503},{"title":513,"url":511},"tools\u002Fagent\u002Fdesktop\u002Fopen-interpreter","本地代码执行 Agent，让 LLM 在你的机器上跑代码",[561,562,563,564,565],"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。","TMlx_MNiYyMSizdrJe3mzSIF5AiXXolw8z2FTUJmY8I",[569,1238,1955],{"id":570,"title":233,"alternatives":571,"api_compatible":535,"body":574,"category":530,"chinese_friendly":516,"cover":1166,"description":1167,"domestic":533,"extension":534,"faq":1168,"free":536,"github":535,"languages":1181,"lastVerified":1184,"meta":1185,"models":535,"navigation":536,"notSuitable":535,"opensource":533,"path":1186,"pillar":542,"platforms":1187,"priceTable":1188,"pricing":1211,"published":1212,"relatedPlaybooks":1213,"relatedReviews":535,"score":1215,"self_host":533,"seo":1216,"seoTitle":1217,"slug":12,"sources":1218,"stem":1228,"suitable":535,"tagline":1229,"tags":1230,"updated":1221,"verdict":1235,"website":1236,"__hash__":1237},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop.md",[14,572,573],"agent\u002Fdesktop\u002Fautoglm","agent\u002Fdesktop\u002Fcrush",{"type":20,"value":575,"toc":1154},[576,578,581,584,586,654,656,693,698,702,706,726,730,753,755,773,864,869,871,1011,1013,1068,1070,1096,1098,1118,1120,1150],[23,577,26],{"id":25},[28,579,580],{},"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。",[28,582,583],{},"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）。",[23,585,41],{"id":41},[43,587,588,594,600,606,612,618,624,630,636,642,648],{},[46,589,590,593],{},[49,591,592],{},"原生 MCP 支持","：stdio \u002F SSE \u002F HTTP transport，工具调用直接进入对话",[46,595,596,599],{},[49,597,598],{},".mcpb Extensions","：一键双击安装，含 Node.js \u002F Python 依赖全打包",[46,601,602,605],{},[49,603,604],{},"Connectors 面板","：+ 菜单浏览 \u002F 启用主流 MCP server",[46,607,608,611],{},[49,609,610],{},"手动 JSON 配置","：Settings → Developer → Edit Config 完全控制",[46,613,614,617],{},[49,615,616],{},"Projects","：跨会话共享 system prompt + 文件 + 知识库",[46,619,620,623],{},[49,621,622],{},"Artifacts","：HTML \u002F React \u002F Markdown 实时预览",[46,625,626,629],{},[49,627,628],{},"多模态","：图片 + PDF + CSV 上传分析",[46,631,632,635],{},[49,633,634],{},"Opus \u002F Sonnet \u002F Haiku 三档","：按任务难度切换",[46,637,638,641],{},[49,639,640],{},"Computer Use（Sonnet 4.6+）","：跨平台桌面操作（API 形式）",[46,643,644,647],{},[49,645,646],{},"Team Projects","：共享 prompt + admin + 用量分配",[46,649,650,653],{},[49,651,652],{},"Enterprise","：SSO + SCIM + 审计 + DLP + 数据保留策略",[23,655,101],{"id":101},[43,657,658,664,670,676,682,688],{},[46,659,660,663],{},[49,661,662],{},"Free","：$0；基础访问 + MCP 支持",[46,665,666,669],{},[49,667,668],{},"Pro","：$20\u002F月；Opus + Projects + 5x 配额",[46,671,672,675],{},[49,673,674],{},"Max","：$100\u002F月；5x Pro 用量 + 优先速度",[46,677,678,681],{},[49,679,680],{},"Max+","：$200\u002F月；20x Pro 用量",[46,683,684,687],{},[49,685,686],{},"Team","：$30\u002Fuser·月（最少 5 人，年付）",[46,689,690,692],{},[49,691,652],{},"：Custom",[110,694,695],{},[28,696,697],{},"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。",[23,699,701],{"id":700},"实测开发者主力-macos-windows-双开","实测（开发者主力 \u002F macOS \u002F Windows 双开）",[28,703,704],{},[49,705,123],{},[43,707,708,711,714,717,720,723],{},[46,709,710],{},".mcpb 让非工程师用户也能装上 GitHub \u002F filesystem \u002F SQLite 工具",[46,712,713],{},"Opus 推理质量在所有桌面 agent 中最强",[46,715,716],{},"Projects 跨会话保留上下文非常省 token",[46,718,719],{},"MCP 工具调用 + Artifacts 预览同窗体验流畅",[46,721,722],{},"Anthropic 官方更新节奏稳，2026 几乎每月有功能",[46,724,725],{},"Settings → Developer → Edit Config 一键打开配置，路径不再坑用户",[28,727,728],{},[49,729,151],{},[43,731,732,735,738,741,744,747,750],{},[46,733,734],{},"中国大陆访问 + 支付都受限",[46,736,737],{},"MCP 配置错误的报错很简短，要看 Console \u002F Log",[46,739,740],{},"大文件 \u002F 长上下文偶尔出现 token 计费偏高",[46,742,743],{},"Linux 版本更新偶尔落后 macOS \u002F Windows",[46,745,746],{},".mcpb 包格式更换（.dxt → .mcpb）期间的旧包还在用，命名混乱",[46,748,749],{},"Free 配额限制偏紧，体验完整流程几乎要 Pro",[46,751,752],{},"多账户切换不友好，企业 + 个人共用要登出登入",[23,754,174],{"id":174},[176,756,757,760,767,770],{},[46,758,759],{},"claude.ai\u002Fdownload → 下载对应系统客户端 → 安装登录",[46,761,762],{},[43,763,764],{},[46,765,766],{},"菜单 → Connectors → 浏览主流 MCP server（filesystem \u002F GitHub \u002F Slack \u002F Postgres）",[46,768,769],{},"或 Settings → Extensions → 下载 .mcpb 文件 → 双击安装",[46,771,772],{},"或 Settings → Developer → Edit Config → 手动加：",[774,775,779],"pre",{"className":776,"code":777,"language":778,"meta":515,"style":515},"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",[32,780,781,790,799,806,821,846,852,858],{"__ignoreMap":515},[782,783,786],"span",{"class":784,"line":785},"line",1,[782,787,789],{"class":788},"sVt8B","{\n",[782,791,792,796],{"class":784,"line":519},[782,793,795],{"class":794},"sj4cs","  \"mcpServers\"",[782,797,798],{"class":788},": {\n",[782,800,801,804],{"class":784,"line":516},[782,802,803],{"class":794},"    \"filesystem\"",[782,805,798],{"class":788},[782,807,808,811,814,818],{"class":784,"line":550},[782,809,810],{"class":794},"      \"command\"",[782,812,813],{"class":788},": ",[782,815,817],{"class":816},"sZZnC","\"npx\"",[782,819,820],{"class":788},",\n",[782,822,823,826,829,832,835,838,840,843],{"class":784,"line":551},[782,824,825],{"class":794},"      \"args\"",[782,827,828],{"class":788},": [",[782,830,831],{"class":816},"\"-y\"",[782,833,834],{"class":788},", ",[782,836,837],{"class":816},"\"@modelcontextprotocol\u002Fserver-filesystem\"",[782,839,834],{"class":788},[782,841,842],{"class":816},"\"\u002FUsers\u002Fyou\u002Fwork\"",[782,844,845],{"class":788},"]\n",[782,847,849],{"class":784,"line":848},6,[782,850,851],{"class":788},"    }\n",[782,853,855],{"class":784,"line":854},7,[782,856,857],{"class":788},"  }\n",[782,859,861],{"class":784,"line":860},8,[782,862,863],{"class":788},"}\n",[176,865,866],{"start":551},[46,867,868],{},"重启 Claude Desktop → 看到对话框右下角 🔨 工具图标 → 测试 \"list files in \u002FUsers\u002Fyou\u002Fwork\"",[23,870,215],{"id":215},[217,872,873,890],{},[220,874,875],{},[223,876,877,879,881,884,887],{},[226,878,228],{},[226,880,233],{},[226,882,883],{},"ChatGPT Desktop",[226,885,886],{},"Cursor",[226,888,889],{},"OpenClaw",[241,891,892,909,925,938,954,966,979,994],{},[223,893,894,897,900,903,906],{},[246,895,896],{},"原生 MCP",[246,898,899],{},"✅ 旗舰",[246,901,902],{},"部分（GPT Actions）",[246,904,905],{},"部分",[246,907,908],{},"✅ Gateway",[223,910,911,914,917,920,923],{},[246,912,913],{},"一键扩展安装",[246,915,916],{},"✅ .mcpb",[246,918,919],{},"–",[246,921,922],{},"✅ 部分",[246,924,919],{},[223,926,927,930,932,934,936],{},[246,928,929],{},"桌面 \u002F 文件系统",[246,931,298],{},[246,933,298],{},[246,935,298],{},[246,937,298],{},[223,939,940,943,946,949,952],{},[246,941,942],{},"模型",[246,944,945],{},"Claude（Opus \u002F Sonnet）",[246,947,948],{},"GPT-5.x",[246,950,951],{},"多模型",[246,953,951],{},[223,955,956,958,960,962,964],{},[246,957,264],{},[246,959,270],{},[246,961,270],{},[246,963,270],{},[246,965,276],{},[223,967,968,971,973,975,977],{},[246,969,970],{},"中国大陆支付",[246,972,270],{},[246,974,270],{},[246,976,270],{},[246,978,298],{},[223,980,981,984,987,989,991],{},[246,982,983],{},"起价",[246,985,986],{},"$20\u002F月",[246,988,986],{},[246,990,986],{},[246,992,993],{},"$0",[223,995,996,999,1002,1005,1008],{},[246,997,998],{},"适合",[246,1000,1001],{},"MCP 生态 + Claude 派",[246,1003,1004],{},"OpenAI 派",[246,1006,1007],{},"代码主力",[246,1009,1010],{},"自托管 IM 触发",[23,1012,353],{"id":353},[43,1014,1015,1021,1027,1033,1039,1045,1051,1057,1063],{},[46,1016,1017,1020],{},[49,1018,1019],{},"配置文件路径常错","：用 Settings → Developer → Edit Config 一键打开，不要手输路径",[46,1022,1023,1026],{},[49,1024,1025],{},"JSON 必须合法","：注释 \u002F 尾逗号会报错，建议 VS Code 校验",[46,1028,1029,1032],{},[49,1030,1031],{},"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",[46,1034,1035,1038],{},[49,1036,1037],{},"NPM 依赖卡住","：npx 首次拉包慢，设置代理或预跑一次再用",[46,1040,1041,1044],{},[49,1042,1043],{},"环境变量隔离","：每个 MCP server 的 env 只对该 server 可见，避免泄露",[46,1046,1047,1050],{},[49,1048,1049],{},"filesystem 限定路径","：args 里只给必要目录，不要给 \u002F 或整个 home",[46,1052,1053,1056],{},[49,1054,1055],{},".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",[46,1058,1059,1062],{},[49,1060,1061],{},"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",[46,1064,1065,1067],{},[49,1066,604],{}," 偶有 server 不可用，回退到 JSON 手动配置",[23,1069,408],{"id":407},[43,1071,1072,1075,1078,1081,1084,1087,1090,1093],{},[46,1073,1074],{},"✅ Claude Opus \u002F Sonnet 重度用户",[46,1076,1077],{},"✅ 想打通文件系统 \u002F DB \u002F GitHub \u002F 浏览器自动化的开发者",[46,1079,1080],{},"✅ 团队协作通过 Team Projects 共享上下文",[46,1082,1083],{},"✅ MCP 生态早期采用者 \u002F 工具开发者",[46,1085,1086],{},"❌ 中国大陆企业要正规付费 + 合规",[46,1088,1089],{},"❌ 纯代码工作流（Cursor \u002F Continue 更顺）",[46,1091,1092],{},"❌ 预算极紧（Free 配额很快耗尽）",[46,1094,1095],{},"❌ 要自托管 + 数据完全自主（走 OpenClaw \u002F 自家方案）",[23,1097,472],{"id":472},[43,1099,1100,1106,1112],{},[46,1101,1102],{},[476,1103,1105],{"href":1104},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw","OpenClaw 评测",[46,1107,1108],{},[476,1109,1111],{"href":1110},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm","AutoGLM 评测",[46,1113,1114],{},[476,1115,1117],{"href":1116},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush","Crush 评测",[23,1119,491],{"id":491},[176,1121,1122,1129,1136,1143],{},[46,1123,1124,1125],{},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt 改名 2025-09）",[476,1126,1127],{"href":1127,"rel":1128},"https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Fdesktop-extensions",[505],[46,1130,1131,1132],{},"Toolradar — Claude Desktop MCP Server Setup 2026（路径 \u002F 配置示例）",[476,1133,1134],{"href":1134,"rel":1135},"https:\u002F\u002Ftoolradar.com\u002Fblog\u002Fclaude-desktop-mcp-server-setup",[505],[46,1137,1138,1139],{},"MCP Playground — Complete 2026 Setup Guide ",[476,1140,1141],{"href":1141,"rel":1142},"https:\u002F\u002Fmcpplaygroundonline.com\u002Fblog\u002Fhow-to-setup-mcp-claude-desktop",[505],[46,1144,1145,1146],{},"Anthropic — Pricing（Pro $20 \u002F Max $100 \u002F Max+ $200 \u002F Team $30 \u002F Enterprise）",[476,1147,1148],{"href":1148,"rel":1149},"https:\u002F\u002Fwww.anthropic.com\u002Fpricing",[505],[1151,1152,1153],"style",{},"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":515,"searchDepth":516,"depth":516,"links":1155},[1156,1157,1158,1159,1160,1161,1162,1163,1164,1165],{"id":25,"depth":519,"text":26},{"id":41,"depth":519,"text":41},{"id":101,"depth":519,"text":101},{"id":700,"depth":519,"text":701},{"id":174,"depth":519,"text":174},{"id":215,"depth":519,"text":215},{"id":353,"depth":519,"text":353},{"id":407,"depth":519,"text":408},{"id":472,"depth":519,"text":472},{"id":491,"depth":519,"text":491},"\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。",[1169,1172,1175,1178],{"q":1170,"a":1171},"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":1173,"a":1174},".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":1176,"a":1177},"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":1179,"a":1180},"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。",[538,1182,1183],"zh","multi","2026-08-02",{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",[545,544,546],[1189,1192,1195,1199,1203,1207],{"plan":662,"price":993,"features":1190,"notes":1191},"基础 Claude Sonnet + MCP 支持 + 有限 message","试水 \u002F 个人轻度",{"plan":668,"price":986,"features":1193,"notes":1194},"更多 message + Opus 模型 + Projects + 优先速度","个人主力",{"plan":674,"price":1196,"features":1197,"notes":1198},"$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":680,"price":1200,"features":1201,"notes":1202},"$200\u002F月","20x Pro 用量 + research preview 优先","极重度 \u002F Power user",{"plan":686,"price":1204,"features":1205,"notes":1206},"$30\u002Fuser·月","共享 Projects + admin + 用量分配 + 集中计费（最少 5 人）","小团队",{"plan":652,"price":1208,"features":1209,"notes":1210},"Custom","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","2026-06-19",[1214],"onboarding\u002Fmcp-tool-development",{"power":551,"ux":551,"price":516,"cn_support":519,"stability":551},{"title":233,"description":1167},"Claude Desktop 评测 2026：Anthropic 官方桌面客户端，AI 助手本地使用",[1219,1222,1224,1226],{"name":1220,"url":1127,"accessed":1221},"Anthropic — Desktop Extensions 公告（.mcpb \u002F .dxt）","2026-06-24",{"name":1223,"url":1134,"accessed":1221},"Toolradar — Claude Desktop MCP 设置 2026",{"name":1225,"url":1141,"accessed":1221},"MCP Playground — 完整 2026 配置指南",{"name":1227,"url":1148,"accessed":1221},"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",[561,1231,1232,1233,1234],"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","WgmjZTtGL8cWXoFdsKW9_OOM6Fs8Y1wph1pnszf7PcA",{"id":1239,"title":236,"alternatives":1240,"api_compatible":535,"body":1244,"category":1902,"chinese_friendly":550,"cover":1903,"description":1904,"domestic":536,"extension":534,"faq":1905,"free":536,"github":1918,"languages":1919,"lastVerified":1184,"meta":1920,"models":535,"navigation":536,"notSuitable":535,"opensource":536,"path":1921,"pillar":542,"platforms":1922,"priceTable":1924,"pricing":1928,"published":1212,"relatedPlaybooks":1929,"relatedReviews":1931,"score":1934,"self_host":536,"seo":1935,"seoTitle":1936,"slug":13,"sources":1937,"stem":1946,"suitable":535,"tagline":1947,"tags":1948,"updated":1221,"verdict":1953,"website":1864,"__hash__":1954},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md",[1241,1242,1243],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":20,"value":1245,"toc":1890},[1246,1248,1255,1258,1260,1336,1338,1355,1359,1363,1389,1393,1419,1421,1564,1567,1575,1577,1743,1745,1805,1807,1833,1835,1855,1857,1887],[23,1247,26],{"id":25},[28,1249,1250,1251,1254],{},"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（",[32,1252,1253],{},"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。",[28,1256,1257],{},"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）。",[23,1259,41],{"id":41},[43,1261,1262,1271,1277,1283,1289,1295,1301,1306,1312,1318,1324,1330],{},[46,1263,1264,1267,1268,1270],{},[49,1265,1266],{},"多 agent orchestration","：",[32,1269,1253],{}," 编排多个专门 agent 协作",[46,1272,1273,1276],{},[49,1274,1275],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[46,1278,1279,1282],{},[49,1280,1281],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[46,1284,1285,1288],{},[49,1286,1287],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[46,1290,1291,1294],{},[49,1292,1293],{},"OpenManus-RL","：强化学习微调分支",[46,1296,1297,1300],{},[49,1298,1299],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[46,1302,1303,1305],{},[49,1304,628],{},"：文本 + 视觉输入 + 浏览器截图回环",[46,1307,1308,1311],{},[49,1309,1310],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[46,1313,1314,1317],{},[49,1315,1316],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[46,1319,1320,1323],{},[49,1321,1322],{},"Web UI 监控","：实时看 AI thinking process",[46,1325,1326,1329],{},[49,1327,1328],{},"任务可视化","：步骤拆解 + 执行树",[46,1331,1332,1335],{},[49,1333,1334],{},"MIT 协议","：个人 + 商用全免费",[23,1337,101],{"id":101},[43,1339,1340,1346,1349,1352],{},[46,1341,1342,1345],{},[49,1343,1344],{},"Free \u002F OSS","：$0；MIT 协议",[46,1347,1348],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[46,1350,1351],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[46,1353,1354],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[23,1356,1358],{"id":1357},"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）",[28,1360,1361],{},[49,1362,123],{},[43,1364,1365,1368,1371,1374,1377,1380,1383,1386],{},[46,1366,1367],{},"52k stars 印证社区认同度 + 活跃度",[46,1369,1370],{},"MetaGPT 团队背景保证架构质量",[46,1372,1373],{},"多 agent 协作场景比单 agent 实现稳得多",[46,1375,1376],{},"Playwright 浏览器自动化非常完整",[46,1378,1379],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[46,1381,1382],{},"DataAnalysis 内置 agent 模式开箱即用",[46,1384,1385],{},"中文支持自然（Qwen VL Plus 接入）",[46,1387,1388],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[28,1390,1391],{},[49,1392,151],{},[43,1394,1395,1398,1401,1404,1407,1410,1413,1416],{},[46,1396,1397],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[46,1399,1400],{},"文档滞后新功能 1-2 个月",[46,1402,1403],{},"无官方 GUI，监控 UI 在做但不完整",[46,1405,1406],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[46,1408,1409],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[46,1411,1412],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[46,1414,1415],{},"中文 prompt 效果依赖底层模型",[46,1417,1418],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[23,1420,174],{"id":174},[774,1422,1426],{"className":1423,"code":1424,"language":1425,"meta":515,"style":515},"language-bash shiki shiki-themes github-light github-dark","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","bash",[32,1427,1428,1440,1448,1475,1489,1499,1504,1509,1520,1526,1531,1537,1545,1550,1556],{"__ignoreMap":515},[782,1429,1430,1434,1437],{"class":784,"line":785},[782,1431,1433],{"class":1432},"sScJk","git",[782,1435,1436],{"class":816}," clone",[782,1438,1439],{"class":816}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[782,1441,1442,1445],{"class":784,"line":519},[782,1443,1444],{"class":794},"cd",[782,1446,1447],{"class":816}," OpenManus\n",[782,1449,1450,1453,1456,1459,1462,1465,1468,1471],{"class":784,"line":516},[782,1451,1452],{"class":1432},"python3.12",[782,1454,1455],{"class":794}," -m",[782,1457,1458],{"class":816}," venv",[782,1460,1461],{"class":816}," .venv",[782,1463,1464],{"class":788}," && ",[782,1466,1467],{"class":794},"source",[782,1469,1470],{"class":816}," .venv\u002Fbin\u002Factivate",[782,1472,1474],{"class":1473},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[782,1476,1477,1480,1483,1486],{"class":784,"line":550},[782,1478,1479],{"class":1432},"pip",[782,1481,1482],{"class":816}," install",[782,1484,1485],{"class":794}," -r",[782,1487,1488],{"class":816}," requirements.txt\n",[782,1490,1491,1494,1496],{"class":784,"line":551},[782,1492,1493],{"class":1432},"playwright",[782,1495,1482],{"class":816},[782,1497,1498],{"class":816}," chromium\n",[782,1500,1501],{"class":784,"line":848},[782,1502,1503],{"emptyLinePlaceholder":536},"\n",[782,1505,1506],{"class":784,"line":854},[782,1507,1508],{"class":1473},"# 配 LLM API\n",[782,1510,1511,1514,1517],{"class":784,"line":860},[782,1512,1513],{"class":1432},"cp",[782,1515,1516],{"class":816}," config\u002Fconfig.example.toml",[782,1518,1519],{"class":816}," config\u002Fconfig.toml\n",[782,1521,1523],{"class":784,"line":1522},9,[782,1524,1525],{"class":1473},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[782,1527,1529],{"class":784,"line":1528},10,[782,1530,1503],{"emptyLinePlaceholder":536},[782,1532,1534],{"class":784,"line":1533},11,[782,1535,1536],{"class":1473},"# 单 agent 模式\n",[782,1538,1540,1542],{"class":784,"line":1539},12,[782,1541,565],{"class":1432},[782,1543,1544],{"class":816}," main.py\n",[782,1546,1548],{"class":784,"line":1547},13,[782,1549,1503],{"emptyLinePlaceholder":536},[782,1551,1553],{"class":784,"line":1552},14,[782,1554,1555],{"class":1473},"# 多 agent 模式\n",[782,1557,1559,1561],{"class":784,"line":1558},15,[782,1560,565],{"class":1432},[782,1562,1563],{"class":816}," run_flow.py\n",[28,1565,1566],{},"试任务示例：",[774,1568,1573],{"className":1569,"code":1571,"language":1572},[1570],"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",[32,1574,1571],{"__ignoreMap":515},[23,1576,215],{"id":215},[217,1578,1579,1596],{},[220,1580,1581],{},[223,1582,1583,1585,1587,1590,1593],{},[226,1584,228],{},[226,1586,236],{},[226,1588,1589],{},"LangChain",[226,1591,1592],{},"AutoGPT",[226,1594,1595],{},"CrewAI",[241,1597,1598,1614,1628,1641,1656,1669,1683,1697,1714,1727],{},[223,1599,1600,1602,1605,1608,1611],{},[246,1601,248],{},[246,1603,1604],{},"现成 agent 实现",[246,1606,1607],{},"building blocks",[246,1609,1610],{},"早期通用 agent",[246,1612,1613],{},"多 agent 框架",[223,1615,1616,1619,1622,1624,1626],{},[246,1617,1618],{},"浏览器自动化",[246,1620,1621],{},"✅ Playwright",[246,1623,919],{},[246,1625,905],{},[246,1627,919],{},[223,1629,1630,1633,1635,1637,1639],{},[246,1631,1632],{},"MCP",[246,1634,298],{},[246,1636,905],{},[246,1638,919],{},[246,1640,919],{},[223,1642,1643,1646,1649,1652,1654],{},[246,1644,1645],{},"多 agent",[246,1647,1648],{},"✅ orchestration",[246,1650,1651],{},"需自搭",[246,1653,270],{},[246,1655,899],{},[223,1657,1658,1661,1663,1665,1667],{},[246,1659,1660],{},"DataAnalysis 内置",[246,1662,298],{},[246,1664,919],{},[246,1666,919],{},[246,1668,919],{},[223,1670,1671,1674,1677,1679,1681],{},[246,1672,1673],{},"RL 微调",[246,1675,1676],{},"✅ OpenManus-RL",[246,1678,919],{},[246,1680,919],{},[246,1682,919],{},[223,1684,1685,1688,1691,1693,1695],{},[246,1686,1687],{},"协议",[246,1689,1690],{},"MIT",[246,1692,1690],{},[246,1694,1690],{},[246,1696,1690],{},[223,1698,1699,1702,1705,1708,1711],{},[246,1700,1701],{},"Stars",[246,1703,1704],{},"52k+",[246,1706,1707],{},"100k+",[246,1709,1710],{},"170k+",[246,1712,1713],{},"30k+",[223,1715,1716,1718,1720,1723,1725],{},[246,1717,174],{},[246,1719,343],{},[246,1721,1722],{},"难",[246,1724,343],{},[246,1726,343],{},[223,1728,1729,1731,1734,1737,1740],{},[246,1730,998],{},[246,1732,1733],{},"自托管 Manus 复刻",[246,1735,1736],{},"底层 framework",[246,1738,1739],{},"学习经典",[246,1741,1742],{},"多 agent 协作",[23,1744,353],{"id":353},[43,1746,1747,1753,1763,1769,1775,1781,1787,1793,1799],{},[46,1748,1749,1752],{},[49,1750,1751],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[46,1754,1755,1758,1759,1762],{},[49,1756,1757],{},"Playwright 依赖大","：首次 ",[32,1760,1761],{},"playwright install"," 下 chromium 慢，国内走镜像",[46,1764,1765,1768],{},[49,1766,1767],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[46,1770,1771,1774],{},[49,1772,1773],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[46,1776,1777,1780],{},[49,1778,1779],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[46,1782,1783,1786],{},[49,1784,1785],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[46,1788,1789,1792],{},[49,1790,1791],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[46,1794,1795,1798],{},[49,1796,1797],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[46,1800,1801,1804],{},[49,1802,1803],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[23,1806,408],{"id":407},[43,1808,1809,1812,1815,1818,1821,1824,1827,1830],{},[46,1810,1811],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[46,1813,1814],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[46,1816,1817],{},"✅ 隐私敏感 + 不愿数据上商业云",[46,1819,1820],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[46,1822,1823],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[46,1825,1826],{},"❌ 要 GUI \u002F 上手即用",[46,1828,1829],{},"❌ 生产级稳定（文档滞后 + 演进快）",[46,1831,1832],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[23,1834,472],{"id":472},[43,1836,1837,1843,1849],{},[46,1838,1839],{},[476,1840,1842],{"href":1841},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[46,1844,1845],{},[476,1846,1848],{"href":1847},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[46,1850,1851],{},[476,1852,1854],{"href":1853},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[23,1856,491],{"id":491},[176,1858,1859,1866,1873,1880],{},[46,1860,1861,1862],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[476,1863,1864],{"href":1864,"rel":1865},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[505],[46,1867,1868,1869],{},"Foundation Agents — OpenManus 项目介绍 ",[476,1870,1871],{"href":1871,"rel":1872},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[505],[46,1874,1875,1876],{},"Toolsverse — OpenManus 评测 + 52k stars ",[476,1877,1878],{"href":1878,"rel":1879},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[505],[46,1881,1882,1883],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[476,1884,1885],{"href":1885,"rel":1886},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[505],[1151,1888,1889],{},"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":515,"searchDepth":516,"depth":516,"links":1891},[1892,1893,1894,1895,1896,1897,1898,1899,1900,1901],{"id":25,"depth":519,"text":26},{"id":41,"depth":519,"text":41},{"id":101,"depth":519,"text":101},{"id":1357,"depth":519,"text":1358},{"id":174,"depth":519,"text":174},{"id":215,"depth":519,"text":215},{"id":353,"depth":519,"text":353},{"id":407,"depth":519,"text":408},{"id":472,"depth":519,"text":472},{"id":491,"depth":519,"text":491},"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。",[1906,1909,1912,1915],{"q":1907,"a":1908},"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":1910,"a":1911},"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":1913,"a":1914},"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":1916,"a":1917},"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。","https:\u002F\u002Fgithub.com\u002FOpenManus\u002FOpenManus",[538,1182,1183],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[546,545,544,1923],"docker",[1925],{"plan":1344,"price":993,"features":1926,"notes":1927},"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）",[1930],"onboarding\u002Fopen-source-general-agent",[1932,1933],"openhuman-deep-review","openmanus-deep-review",{"power":551,"ux":516,"price":551,"cn_support":550,"stability":516},{"title":236,"description":1904},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[1938,1940,1942,1944],{"name":1939,"url":1864,"accessed":1221},"OpenManus GitHub（FoundationAgents 组织）",{"name":1941,"url":1871,"accessed":1221},"Foundation Agents — OpenManus 项目介绍",{"name":1943,"url":1878,"accessed":1221},"Toolsverse — OpenManus 评测 + 52k stars",{"name":1945,"url":1885,"accessed":1221},"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",[562,1949,1950,1231,1951,1952],"multi-agent","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。","5TwlOpKjDlHE7VP3NOnKbK6cSvuhiuEGCwNeO95P6pY",{"id":1956,"title":889,"alternatives":1957,"api_compatible":535,"body":1958,"category":530,"chinese_friendly":550,"cover":2636,"description":2637,"domestic":533,"extension":534,"faq":2638,"free":536,"github":2650,"languages":2651,"lastVerified":1184,"meta":2652,"models":535,"navigation":536,"notSuitable":535,"opensource":536,"path":1104,"pillar":542,"platforms":2653,"priceTable":2655,"pricing":2659,"published":1212,"relatedPlaybooks":2660,"relatedReviews":535,"score":2662,"self_host":536,"seo":2663,"seoTitle":2664,"slug":14,"sources":2665,"stem":2674,"suitable":535,"tagline":2675,"tags":2676,"updated":1221,"verdict":2681,"website":2682,"__hash__":2683},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[12,572,573],{"type":20,"value":1959,"toc":2624},[1960,1962,1965,1968,1970,2037,2039,2053,2057,2061,2084,2088,2114,2116,2275,2278,2310,2312,2480,2482,2544,2546,2572,2574,2589,2591,2621],[23,1961,26],{"id":25},[28,1963,1964],{},"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。",[28,1966,1967],{},"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。",[23,1969,41],{"id":41},[43,1971,1972,1978,1984,1990,1996,2002,2008,2014,2019,2025,2031],{},[46,1973,1974,1977],{},[49,1975,1976],{},"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",[46,1979,1980,1983],{},[49,1981,1982],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[46,1985,1986,1989],{},[49,1987,1988],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[46,1991,1992,1995],{},[49,1993,1994],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[46,1997,1998,2001],{},[49,1999,2000],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[46,2003,2004,2007],{},[49,2005,2006],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[46,2009,2010,2013],{},[49,2011,2012],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[46,2015,2016,2018],{},[49,2017,1310],{},"：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[46,2020,2021,2024],{},[49,2022,2023],{},"MCP 兼容","：可调用 MCP server",[46,2026,2027,2030],{},[49,2028,2029],{},"Web Control UI","：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[46,2032,2033,2036],{},[49,2034,2035],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[23,2038,101],{"id":101},[43,2040,2041,2047,2050],{},[46,2042,2043,2046],{},[49,2044,2045],{},"Self-host OSS","：$0；MIT 完全开放",[46,2048,2049],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[46,2051,2052],{},"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",[23,2054,2056],{"id":2055},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[28,2058,2059],{},[49,2060,123],{},[43,2062,2063,2066,2069,2072,2075,2078,2081],{},[46,2064,2065],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[46,2067,2068],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[46,2070,2071],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[46,2073,2074],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[46,2076,2077],{},"本地 Ollama 路径让数据 + 隐私完全自主",[46,2079,2080],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[46,2082,2083],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[28,2085,2086],{},[49,2087,151],{},[43,2089,2090,2093,2096,2099,2102,2105,2108,2111],{},[46,2091,2092],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[46,2094,2095],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[46,2097,2098],{},"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",[46,2100,2101],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[46,2103,2104],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[46,2106,2107],{},"Web Control UI 在大量 session 下渲染偏慢",[46,2109,2110],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[46,2112,2113],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[23,2115,174],{"id":174},[774,2117,2119],{"className":1423,"code":2118,"language":1425,"meta":515,"style":515},"# 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",[32,2120,2121,2126,2139,2147,2151,2156,2175,2185,2190,2194,2199,2208,2229,2233,2238,2245,2250,2256,2264],{"__ignoreMap":515},[782,2122,2123],{"class":784,"line":785},[782,2124,2125],{"class":1473},"# 方法一：NPM\n",[782,2127,2128,2131,2133,2136],{"class":784,"line":519},[782,2129,2130],{"class":1432},"npm",[782,2132,1482],{"class":816},[782,2134,2135],{"class":794}," -g",[782,2137,2138],{"class":816}," openclaw\n",[782,2140,2141,2144],{"class":784,"line":516},[782,2142,2143],{"class":1432},"openclaw",[782,2145,2146],{"class":794}," --version\n",[782,2148,2149],{"class":784,"line":550},[782,2150,1503],{"emptyLinePlaceholder":536},[782,2152,2153],{"class":784,"line":551},[782,2154,2155],{"class":1473},"# 方法二：Docker\n",[782,2157,2158,2160,2163,2166,2169,2172],{"class":784,"line":848},[782,2159,1923],{"class":1432},[782,2161,2162],{"class":816}," run",[782,2164,2165],{"class":794}," -d",[782,2167,2168],{"class":794}," --name",[782,2170,2171],{"class":816}," openclaw",[782,2173,2174],{"class":794}," \\\n",[782,2176,2177,2180,2183],{"class":784,"line":854},[782,2178,2179],{"class":794},"  -v",[782,2181,2182],{"class":816}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[782,2184,2174],{"class":794},[782,2186,2187],{"class":784,"line":860},[782,2188,2189],{"class":816},"  openclaw\u002Fopenclaw:latest\n",[782,2191,2192],{"class":784,"line":1522},[782,2193,1503],{"emptyLinePlaceholder":536},[782,2195,2196],{"class":784,"line":1528},[782,2197,2198],{"class":1473},"# 方法三：源码\n",[782,2200,2201,2203,2205],{"class":784,"line":1533},[782,2202,1433],{"class":1432},[782,2204,1436],{"class":816},[782,2206,2207],{"class":816}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[782,2209,2210,2212,2214,2216,2218,2220,2222,2224,2226],{"class":784,"line":1539},[782,2211,1444],{"class":794},[782,2213,2171],{"class":816},[782,2215,1464],{"class":788},[782,2217,2130],{"class":1432},[782,2219,1482],{"class":816},[782,2221,1464],{"class":788},[782,2223,2130],{"class":1432},[782,2225,2162],{"class":816},[782,2227,2228],{"class":816}," start\n",[782,2230,2231],{"class":784,"line":1547},[782,2232,1503],{"emptyLinePlaceholder":536},[782,2234,2235],{"class":784,"line":1552},[782,2236,2237],{"class":1473},"# 引导配置（model \u002F channel \u002F 权限）\n",[782,2239,2240,2242],{"class":784,"line":1558},[782,2241,2143],{"class":1432},[782,2243,2244],{"class":816}," onboard\n",[782,2246,2248],{"class":784,"line":2247},16,[782,2249,1503],{"emptyLinePlaceholder":536},[782,2251,2253],{"class":784,"line":2252},17,[782,2254,2255],{"class":1473},"# 启动\n",[782,2257,2259,2261],{"class":784,"line":2258},18,[782,2260,2143],{"class":1432},[782,2262,2263],{"class":1473},"                 # CLI\n",[782,2265,2267,2269,2272],{"class":784,"line":2266},19,[782,2268,2143],{"class":1432},[782,2270,2271],{"class":816}," dashboard",[782,2273,2274],{"class":1473},"       # Web UI\n",[28,2276,2277],{},"配本地免费 Ollama：",[774,2279,2281],{"className":1423,"code":2280,"language":1425,"meta":515,"style":515},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[32,2282,2283,2294],{"__ignoreMap":515},[782,2284,2285,2288,2291],{"class":784,"line":785},[782,2286,2287],{"class":1432},"ollama",[782,2289,2290],{"class":816}," pull",[782,2292,2293],{"class":816}," llama3\n",[782,2295,2296,2298,2301,2304,2307],{"class":784,"line":519},[782,2297,2143],{"class":1432},[782,2299,2300],{"class":816}," config",[782,2302,2303],{"class":816}," set",[782,2305,2306],{"class":816}," ai.provider",[782,2308,2309],{"class":816}," \"ollama\"\n",[23,2311,215],{"id":215},[217,2313,2314,2330],{},[220,2315,2316],{},[223,2317,2318,2320,2322,2324,2327],{},[226,2319,228],{},[226,2321,889],{},[226,2323,233],{},[226,2325,2326],{},"AutoGLM",[226,2328,2329],{},"Crush",[241,2331,2332,2348,2362,2376,2392,2405,2420,2435,2450,2464],{},[223,2333,2334,2336,2339,2342,2345],{},[246,2335,248],{},[246,2337,2338],{},"IM 网关 + 多 Agent 自治",[246,2340,2341],{},"桌面客户端 + MCP",[246,2343,2344],{},"Phone\u002FWeb GUI agent",[246,2346,2347],{},"终端 TUI agent",[223,2349,2350,2353,2356,2358,2360],{},[246,2351,2352],{},"7×24 Heartbeat",[246,2354,2355],{},"✅ 30 分钟",[246,2357,919],{},[246,2359,919],{},[246,2361,919],{},[223,2363,2364,2367,2370,2372,2374],{},[246,2365,2366],{},"多 IM 渠道",[246,2368,2369],{},"✅ 20+",[246,2371,919],{},[246,2373,919],{},[246,2375,919],{},[223,2377,2378,2381,2384,2387,2389],{},[246,2379,2380],{},"Skills 市场",[246,2382,2383],{},"✅ ClawHub 5400+",[246,2385,2386],{},"✅ MCP Connectors",[246,2388,919],{},[246,2390,2391],{},"✅ Agent Skills 标准",[223,2393,2394,2396,2398,2400,2402],{},[246,2395,1988],{},[246,2397,298],{},[246,2399,616],{},[246,2401,919],{},[246,2403,2404],{},"session",[223,2406,2407,2409,2411,2414,2417],{},[246,2408,264],{},[246,2410,276],{},[246,2412,2413],{},"闭源",[246,2415,2416],{},"✅ MIT 模型 + Apache 代码",[246,2418,2419],{},"FSL-1.1-MIT",[223,2421,2422,2425,2428,2430,2433],{},[246,2423,2424],{},"本地 LLM",[246,2426,2427],{},"✅ Ollama 友好",[246,2429,919],{},[246,2431,2432],{},"✅ 9B 自模型",[246,2434,298],{},[223,2436,2437,2440,2443,2446,2448],{},[246,2438,2439],{},"中国大陆友好",[246,2441,2442],{},"✅ 完全",[246,2444,2445],{},"❌ 支付",[246,2447,298],{},[246,2449,922],{},[223,2451,2452,2454,2456,2459,2461],{},[246,2453,983],{},[246,2455,993],{},[246,2457,2458],{},"$20\u002F月 +",[246,2460,993],{},[246,2462,2463],{},"$0 + API",[223,2465,2466,2468,2471,2474,2477],{},[246,2467,998],{},[246,2469,2470],{},"7×24 IM 触发个人 agent",[246,2472,2473],{},"MCP 生态桌面",[246,2475,2476],{},"Phone GUI",[246,2478,2479],{},"终端 power user",[23,2481,353],{"id":353},[43,2483,2484,2490,2496,2502,2508,2514,2520,2526,2532,2538],{},[46,2485,2486,2489],{},[49,2487,2488],{},"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",[46,2491,2492,2495],{},[49,2493,2494],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[46,2497,2498,2501],{},[49,2499,2500],{},"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",[46,2503,2504,2507],{},[49,2505,2506],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[46,2509,2510,2513],{},[49,2511,2512],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[46,2515,2516,2519],{},[49,2517,2518],{},"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",[46,2521,2522,2525],{},[49,2523,2524],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[46,2527,2528,2531],{},[49,2529,2530],{},"Windows 走 WSL2","：原生 Windows 兼容差",[46,2533,2534,2537],{},[49,2535,2536],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[46,2539,2540,2543],{},[49,2541,2542],{},"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",[23,2545,408],{"id":407},[43,2547,2548,2551,2554,2557,2560,2563,2566,2569],{},[46,2549,2550],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[46,2552,2553],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[46,2555,2556],{},"✅ 数据隐私敏感 + 自托管刚需",[46,2558,2559],{},"✅ 中国大陆用户走本地 Ollama 全免费",[46,2561,2562],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[46,2564,2565],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[46,2567,2568],{},"❌ 要一键就跑的非技术用户",[46,2570,2571],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[23,2573,472],{"id":472},[43,2575,2576,2581,2585],{},[46,2577,2578],{},[476,2579,2580],{"href":1186},"Claude Desktop 评测",[46,2582,2583],{},[476,2584,1111],{"href":1110},[46,2586,2587],{},[476,2588,1117],{"href":1116},[23,2590,491],{"id":491},[176,2592,2593,2600,2607,2614],{},[46,2594,2595,2596],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[476,2597,2598],{"href":2598,"rel":2599},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[505],[46,2601,2602,2603],{},"技术栈 — OpenClaw 2026 实战指南 ",[476,2604,2605],{"href":2605,"rel":2606},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[505],[46,2608,2609,2610],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[476,2611,2612],{"href":2612,"rel":2613},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[505],[46,2615,2616,2617],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[476,2618,2619],{"href":2619,"rel":2620},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[505],[1151,2622,2623],{},"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":515,"searchDepth":516,"depth":516,"links":2625},[2626,2627,2628,2629,2630,2631,2632,2633,2634,2635],{"id":25,"depth":519,"text":26},{"id":41,"depth":519,"text":41},{"id":101,"depth":519,"text":101},{"id":2055,"depth":519,"text":2056},{"id":174,"depth":519,"text":174},{"id":215,"depth":519,"text":215},{"id":353,"depth":519,"text":353},{"id":407,"depth":519,"text":408},{"id":472,"depth":519,"text":472},{"id":491,"depth":519,"text":491},"\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。",[2639,2642,2645,2648],{"q":2640,"a":2641},"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":2643,"a":2644},"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":2646,"a":2647},"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":1176,"a":2649},"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。","https:\u002F\u002Fgithub.com\u002Fopenclaw-ai\u002Fopenclaw",[538,1182,1183],{},[545,546,2654,1923],"windows-wsl",[2656],{"plan":2045,"price":993,"features":2657,"notes":2658},"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）",[2661],"onboarding\u002Fpersonal-247-ai-agent",{"power":551,"ux":550,"price":551,"cn_support":550,"stability":550},{"title":889,"description":2637},"OpenClaw - 开源个人 AI Agent 评测与指南 | AIHO",[2666,2668,2670,2672],{"name":2667,"url":2598,"accessed":1221},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 多渠道）",{"name":2669,"url":2605,"accessed":1221},"技术栈 — OpenClaw 2026 实战指南",{"name":2671,"url":2612,"accessed":1221},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat）",{"name":2673,"url":2619,"accessed":1221},"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",[562,2677,2678,1231,1949,2679,2680,2143],"self-host","gateway","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","qNZsbHa_rQillhlXDYZ_dGKOt6DyOxeA-sZm6E7PQzY",1785660639038]