[{"data":1,"prerenderedAt":1491},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-autoglm-vs-openclaw":9,"compare-a-autoglm":10,"compare-b-openclaw":750},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,null,{"id":11,"title":12,"alternatives":13,"api_compatible":9,"body":17,"category":677,"chinese_friendly":264,"cover":678,"description":679,"domestic":680,"extension":681,"faq":682,"free":680,"github":9,"languages":695,"lastVerified":9,"meta":698,"models":9,"navigation":253,"notSuitable":9,"opensource":253,"path":699,"pillar":700,"platforms":701,"priceTable":705,"pricing":719,"published":720,"relatedPlaybooks":721,"relatedReviews":723,"score":725,"self_host":253,"seo":726,"seoTitle":9,"slug":727,"sources":728,"stem":738,"suitable":9,"tagline":739,"tags":740,"updated":731,"verdict":748,"website":637,"__hash__":749},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm.md","AutoGLM",[14,15,16],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fdesktop\u002Fopenclaw","agent\u002Fgeneral\u002Fmanus",{"type":18,"value":19,"toc":665},"minimark",[20,25,29,32,35,106,109,129,135,139,144,164,169,192,196,362,365,519,522,572,576,602,605,626,629,661],[21,22,24],"h2",{"id":23},"tldr","TL;DR",[26,27,28],"p",{},"AutoGLM 是智谱清言 + 清华大学合作的 GUI 自治智能体研究项目（arXiv 2411.00820）。2025-12-08 开源 Open-AutoGLM：AutoGLM-Phone-9B 模型（MIT 协议，HuggingFace \u002F ModelScope 可下载）+ Apache 2.0 框架代码 + Android 适配 + Remote ADB + 50+ 中文 App 示例。VAB-WebArena-Lite 55.2% \u002F 59.1% 成功率，覆盖微信 \u002F 淘宝 \u002F 美团 \u002F Gmail \u002F Google Maps 等。Web 端通过智谱清言 Chrome 扩展（10 万+ 用户）提供页面总结 \u002F 高级检索能力。",[26,30,31],{},"适合：研究 GUI agent 的学术 \u002F 工程团队；国内 App 自治场景；要中文模型 + 私有化部署；想本地跑 phone agent 不依赖外网。不适合：跨平台桌面自动化（用 Anthropic Computer Use \u002F Claude Desktop）；纯英文 web 任务（成功率不如商业产品）；要 production-grade 稳定性（学术 \u002F 开源版本仍在演进）。",[21,33,34],{"id":34},"核心能力",[36,37,38,46,52,58,64,70,76,82,88,94,100],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"AutoGLM-Phone-9B","：MIT 协议开源模型，HuggingFace \u002F ModelScope 可下载",[39,47,48,51],{},[42,49,50],{},"Android 适配层","：原生 Android API + Accessibility Service",[39,53,54,57],{},[42,55,56],{},"Remote ADB","：初次配置后通过 WiFi 控制设备，无需 USB",[39,59,60,63],{},[42,61,62],{},"多模态屏幕理解","：截屏 + UI 树双输入，规划 + grounding 分离",[39,65,66,69],{},[42,67,68],{},"50+ 中文 App 任务示例","：微信 \u002F 淘宝 \u002F 美团 \u002F 京东 \u002F 支付宝 \u002F 抖音 \u002F 小红书 \u002F 大众点评等",[39,71,72,75],{},[42,73,74],{},"英文 App 覆盖","：Gmail \u002F Google Maps \u002F X \u002F Reddit \u002F OneStopShop",[39,77,78,81],{},[42,79,80],{},"Web 浏览器智能体","：Chrome 扩展 + VAB-WebArena-Lite 55.2% \u002F 59.1%",[39,83,84,87],{},[42,85,86],{},"页面总结 + 划线助手 + 写作助手 + 高级检索","（知网 \u002F 知乎 \u002F 小红书）",[39,89,90,93],{},[42,91,92],{},"Safe Operations","：敏感操作（登录 \u002F 验证码）确认后由人接管",[39,95,96,99],{},[42,97,98],{},"Python API","：几行代码就能跑通自动化任务",[39,101,102,105],{},[42,103,104],{},"私有化部署","：模型 + 框架本地跑，数据 \u002F 日志 \u002F 权限完全自控",[21,107,108],{"id":108},"价格",[36,110,111,117,123],{},[39,112,113,116],{},[42,114,115],{},"Open-AutoGLM","：$0；模型 MIT + 代码 Apache 2.0",[39,118,119,122],{},[42,120,121],{},"Chrome 扩展","：$0；Chrome Web Store 装即用",[39,124,125,128],{},[42,126,127],{},"整合产品（智谱清言 App）","：商业服务，价格随订阅",[130,131,132],"blockquote",{},[26,133,134],{},"真实成本 = 0（开源）+ GPU 推理（9B 模型 RTX 4090 一张即可跑）",[21,136,138],{"id":137},"实测开源版本-pixel-6a-ubuntu-2204","实测（开源版本 \u002F Pixel 6a + Ubuntu 22.04）",[26,140,141],{},[42,142,143],{},"亮点：",[36,145,146,149,152,155,158,161],{},[39,147,148],{},"32 个月研发的『手机 GUI agent』终于开源，是国内学术圈难得的开放姿态",[39,150,151],{},"中文 App 覆盖度领先：微信 \u002F 美团 \u002F 淘宝跑通率高",[39,153,154],{},"模型 9B 可在单卡 4090 + 24GB 显存跑，门槛友好",[39,156,157],{},"Remote ADB 让长跑实验摆脱 USB 线",[39,159,160],{},"学术 benchmark 数据透明（55.2% \u002F 59.1%）",[39,162,163],{},"safe-operation 设计对登录 \u002F 支付环节做人审接管，避免误操作",[26,165,166],{},[42,167,168],{},"踩坑：",[36,170,171,174,177,180,183,186,189],{},[39,172,173],{},"App 版本更新后 UI 元素变化要重新适配",[39,175,176],{},"9B 模型在复杂多步骤任务上推理不如商业大模型（GPT-5.4 \u002F Claude Opus 4.6）",[39,178,179],{},"主要面向 Android，iOS 支持空缺",[39,181,182],{},"文档以 README + 论文为主，工程化最佳实践薄",[39,184,185],{},"国行 App 隐私 \u002F 反爬监测会偶尔拦截",[39,187,188],{},"Chrome 扩展 3.4 \u002F 5 评分中等，功能尚可但稳定性一般",[39,190,191],{},"整合版（智谱清言）和开源版差异要注意，别混用",[21,193,195],{"id":194},"上手open-autoglm","上手（Open-AutoGLM）",[197,198,203],"pre",{"className":199,"code":200,"language":201,"meta":202,"style":202},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002Fzai-org\u002FOpen-AutoGLM\ncd Open-AutoGLM && pip install -r requirements.txt\n\n# 下载 9B 模型\nhuggingface-cli download THUDM\u002FAutoGLM-Phone-9B\n\n# 配置 ADB（USB 一次）\nadb tcpip 5555 && adb connect \u003Cdevice-ip>:5555\n\n# 跑示例任务\npython examples\u002Frun_phone_agent.py \\\n  --model THUDM\u002FAutoGLM-Phone-9B \\\n  --task \"在小红书搜索罗马旅游攻略并总结景点\"\n","bash","",[204,205,206,222,248,255,262,274,279,285,319,324,330,342,353],"code",{"__ignoreMap":202},[207,208,211,215,219],"span",{"class":209,"line":210},"line",1,[207,212,214],{"class":213},"sScJk","git",[207,216,218],{"class":217},"sZZnC"," clone",[207,220,221],{"class":217}," https:\u002F\u002Fgithub.com\u002Fzai-org\u002FOpen-AutoGLM\n",[207,223,225,229,232,236,239,242,245],{"class":209,"line":224},2,[207,226,228],{"class":227},"sj4cs","cd",[207,230,231],{"class":217}," Open-AutoGLM",[207,233,235],{"class":234},"sVt8B"," && ",[207,237,238],{"class":213},"pip",[207,240,241],{"class":217}," install",[207,243,244],{"class":227}," -r",[207,246,247],{"class":217}," requirements.txt\n",[207,249,251],{"class":209,"line":250},3,[207,252,254],{"emptyLinePlaceholder":253},true,"\n",[207,256,258],{"class":209,"line":257},4,[207,259,261],{"class":260},"sJ8bj","# 下载 9B 模型\n",[207,263,265,268,271],{"class":209,"line":264},5,[207,266,267],{"class":213},"huggingface-cli",[207,269,270],{"class":217}," download",[207,272,273],{"class":217}," THUDM\u002FAutoGLM-Phone-9B\n",[207,275,277],{"class":209,"line":276},6,[207,278,254],{"emptyLinePlaceholder":253},[207,280,282],{"class":209,"line":281},7,[207,283,284],{"class":260},"# 配置 ADB（USB 一次）\n",[207,286,288,291,294,297,299,301,304,308,311,313,316],{"class":209,"line":287},8,[207,289,290],{"class":213},"adb",[207,292,293],{"class":217}," tcpip",[207,295,296],{"class":227}," 5555",[207,298,235],{"class":234},[207,300,290],{"class":213},[207,302,303],{"class":217}," connect",[207,305,307],{"class":306},"szBVR"," \u003C",[207,309,310],{"class":217},"device-i",[207,312,26],{"class":234},[207,314,315],{"class":306},">",[207,317,318],{"class":217},":5555\n",[207,320,322],{"class":209,"line":321},9,[207,323,254],{"emptyLinePlaceholder":253},[207,325,327],{"class":209,"line":326},10,[207,328,329],{"class":260},"# 跑示例任务\n",[207,331,333,336,339],{"class":209,"line":332},11,[207,334,335],{"class":213},"python",[207,337,338],{"class":217}," examples\u002Frun_phone_agent.py",[207,340,341],{"class":227}," \\\n",[207,343,345,348,351],{"class":209,"line":344},12,[207,346,347],{"class":227},"  --model",[207,349,350],{"class":217}," THUDM\u002FAutoGLM-Phone-9B",[207,352,341],{"class":227},[207,354,356,359],{"class":209,"line":355},13,[207,357,358],{"class":227},"  --task",[207,360,361],{"class":217}," \"在小红书搜索罗马旅游攻略并总结景点\"\n",[21,363,364],{"id":364},"对比",[366,367,368,389],"table",{},[369,370,371],"thead",{},[372,373,374,378,380,383,386],"tr",{},[375,376,377],"th",{},"维度",[375,379,12],{},[375,381,382],{},"Claude Desktop",[375,384,385],{},"OpenClaw",[375,387,388],{},"Anthropic Computer Use",[390,391,392,410,427,444,458,474,488,502],"tbody",{},[372,393,394,398,401,404,407],{},[395,396,397],"td",{},"平台",[395,399,400],{},"Android + Web",[395,402,403],{},"macOS \u002F Windows + MCP",[395,405,406],{},"macOS\u002FLinux\u002FWin",[395,408,409],{},"跨平台",[372,411,412,415,418,421,424],{},[395,413,414],{},"开源",[395,416,417],{},"✅ MIT 模型 + Apache 代码",[395,419,420],{},"闭源",[395,422,423],{},"✅ MIT",[395,425,426],{},"❌",[372,428,429,432,435,438,441],{},[395,430,431],{},"中文 App",[395,433,434],{},"✅ 50+ 示例",[395,436,437],{},"–",[395,439,440],{},"部分",[395,442,443],{},"弱",[372,445,446,449,452,454,456],{},[395,447,448],{},"Phone agent",[395,450,451],{},"✅ 9B 模型",[395,453,426],{},[395,455,426],{},[395,457,426],{},[372,459,460,463,465,468,471],{},[395,461,462],{},"桌面 agent",[395,464,426],{},[395,466,467],{},"✅ MCP",[395,469,470],{},"✅ Gateway",[395,472,473],{},"✅ 原生",[372,475,476,479,482,484,486],{},[395,477,478],{},"学术 benchmark",[395,480,481],{},"✅ 公开",[395,483,437],{},[395,485,437],{},[395,487,440],{},[372,489,490,493,495,497,500],{},[395,491,492],{},"整合 IM",[395,494,437],{},[395,496,437],{},[395,498,499],{},"✅ 20+ 平台",[395,501,437],{},[372,503,504,507,510,513,516],{},[395,505,506],{},"适合",[395,508,509],{},"国内 App \u002F 研究 \u002F 私有化",[395,511,512],{},"MCP 生态桌面",[395,514,515],{},"IM 触发个人 agent",[395,517,518],{},"跨平台桌面",[21,520,521],{"id":521},"避坑",[36,523,524,530,536,542,548,554,560,566],{},[39,525,526,529],{},[42,527,528],{},"App 版本敏感","：UI 改动后效果下降，要 pin App 版本或重训样本",[39,531,532,535],{},[42,533,534],{},"9B 模型推理上限","：复杂多步任务上不及 GPT-5.4 \u002F Claude，可叠加外部规划模型",[39,537,538,541],{},[42,539,540],{},"iOS 暂缺","：需要 iOS agent 走别的方案",[39,543,544,547],{},[42,545,546],{},"Remote ADB 安全","：开放端口必须限内网 + 防火墙",[39,549,550,553],{},[42,551,552],{},"国行 App 反爬","：账号风控 \u002F 验证码会触发，必要时 human-in-the-loop",[39,555,556,559],{},[42,557,558],{},"学术 vs 整合版","：开源版能力 ≠ 智谱清言 App 内置版能力，PoC 别混淆",[39,561,562,565],{},[42,563,564],{},"隐私 \u002F 合规","：本地部署是优势，但读取 IM \u002F 通讯录仍要符合用户授权 + 当地法律",[39,567,568,571],{},[42,569,570],{},"MIT 模型 + Apache 代码","：商用务必看 LICENSE，企业合规审计要走流程",[21,573,575],{"id":574},"适合-不适合","适合 \u002F 不适合",[36,577,578,581,584,587,590,593,596,599],{},[39,579,580],{},"✅ GUI agent 学术研究 \u002F 工程团队",[39,582,583],{},"✅ 国内 App 自治（微信 \u002F 美团 \u002F 淘宝 \u002F 小红书）",[39,585,586],{},"✅ 想本地跑 phone agent + 数据自主",[39,588,589],{},"✅ 私有化部署 + 合规需求",[39,591,592],{},"❌ 跨平台桌面自动化（Claude Desktop \u002F Anthropic Computer Use）",[39,594,595],{},"❌ iOS App 自治",[39,597,598],{},"❌ 要 production-grade 稳定性（仍在演进）",[39,600,601],{},"❌ 不懂 ADB \u002F Python 部署的纯用户",[21,603,604],{"id":604},"相关阅读",[36,606,607,614,620],{},[39,608,609],{},[610,611,613],"a",{"href":612},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[39,615,616],{},[610,617,619],{"href":618},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw","OpenClaw 评测",[39,621,622],{},[610,623,625],{"href":624},"\u002Ftools\u002Fcoding\u002Fagent\u002Fmanus","Manus 评测",[21,627,628],{"id":628},"来源",[630,631,632,640,647,654],"ol",{},[39,633,634,635],{},"AutoGLM 项目主页（含 Open-AutoGLM 2025-12-08 发布说明 \u002F benchmark 数据）",[610,636,637],{"href":637,"rel":638},"https:\u002F\u002Fxiao9905.github.io\u002FAutoGLM",[639],"nofollow",[39,641,642,643],{},"腾讯新闻 — 智谱开源 AutoGLM（32 个月研发 \u002F MIT + Apache 2.0）",[610,644,645],{"href":645,"rel":646},"https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20251209A05V1G00",[639],[39,648,649,650],{},"AutoGLM arXiv 论文 ",[610,651,652],{"href":652,"rel":653},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2411.00820",[639],[39,655,656,657],{},"Chrome Web Store — 智谱清言 ChatGLM & AutoGLM 工作学习 AI 助手 ",[610,658,659],{"href":659,"rel":660},"https:\u002F\u002Fchromewebstore.google.com\u002Fdetail\u002Fmnpdbmgpebfihcndnpgdaihnkmloclkd",[639],[662,663,664],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":202,"searchDepth":250,"depth":250,"links":666},[667,668,669,670,671,672,673,674,675,676],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":137,"depth":224,"text":138},{"id":194,"depth":224,"text":195},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"desktop","\u002Fimg\u002Ftools\u002Fautoglm.webp","AutoGLM 真实评测：智谱清言 + 清华大学合作的 GUI 自治智能体研究产品（arXiv 2411.00820）。2025-12-08 Open-AutoGLM 开源版本（MIT\u002FApache 2.0）发布，含 AutoGLM-Phone-9B 模型（HuggingFace \u002F ModelScope 可下载）+ Android 适配层 + 50+ 中文 App 任务示例。VAB-WebArena-Lite 55.2% 成功率（二次尝试 59.1%），中文 App 支持 Gmail\u002F微信\u002F淘宝\u002F美团等。",false,"md",[683,686,689,692],{"q":684,"a":685},"Open-AutoGLM 和原 AutoGLM 什么关系？","原 AutoGLM 是智谱 2024-10 发布的闭源整合产品（手机 + Web GUI agent），首次在真实手机环境跑通完整自治链路。Open-AutoGLM 是 2025-12 开源版本，把核心模型（AutoGLM-Phone-9B）+ 框架代码 + Android 适配层 + 50+ 中文 App 任务示例释放出来，方便开发者本地部署 + 二次开发。整合版闭源、商业；开源版用于学术 \u002F 私有化。",{"q":687,"a":688},"支持哪些 App？","Open-AutoGLM 内置 50+ 中文 App 示例：微信 \u002F 淘宝 \u002F 美团 \u002F 京东 \u002F 支付宝 \u002F 抖音 \u002F 小红书 \u002F 网易云 \u002F 大众点评 + 英文 Gmail \u002F Google Maps \u002F X \u002F Reddit 等。任何 Android App 理论可用，但效果取决于 UI 元素的可识别度，新版本 App 需要重新适配。",{"q":690,"a":691},"Web 端能力？","Web 端通过 Chrome 扩展（智谱清言：ChatGLM & AutoGLM 工作学习 AI 助手）提供——10 万+ 用户安装，含页面总结 \u002F 划线助手 \u002F 写作助手 \u002F 高级检索（知网 \u002F 知乎 \u002F 小红书）。VAB-WebArena-Lite benchmark 55.2% 首次成功率，二次尝试 59.1%。",{"q":693,"a":694},"和 Anthropic Computer Use \u002F Claude Desktop 怎么选？","AutoGLM 强在中文 App + 学术研究 + 开源权重 + 国内合规；Anthropic Computer Use 强在跨平台桌面 + 英文场景 + 模型推理；Claude Desktop 强在 MCP 生态 + 一键 .mcpb 安装。国内 App 自治 + 私有化 → AutoGLM；英文桌面 + 通用桌面操作 → Anthropic \u002F Claude Desktop。",[696,697],"zh","en",{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm","agent",[702,703,704],"android","chrome-extension","web",[706,710,714],{"plan":115,"price":707,"features":708,"notes":709},"$0","AutoGLM-Phone-9B 模型（MIT）+ 框架代码（Apache 2.0）+ Android 适配 + Remote ADB + 50+ 中文 App 示例","开源 \u002F 私有化部署",{"plan":711,"price":707,"features":712,"notes":713},"智谱清言 Chrome 扩展","Web 划线 \u002F 总结 \u002F 高级检索 \u002F 写作助手 \u002F 页面对话","Chrome Web Store",{"plan":715,"price":716,"features":717,"notes":718},"智谱清言 App 内置","Custom","完整 GUI agent 能力（Phone \u002F Web）+ 整合产品体验","国行 App \u002F 商业服务","Open-AutoGLM 开源免费（MIT 模型 + Apache 2.0 代码）\u002F 智谱清言 App 内置版商业","2026-06-19",[722],"onboarding\u002Fgui-agent-engineering",[724],"autoglm-deep-review",{"power":257,"ux":257,"price":264,"cn_support":264,"stability":250},{"title":12,"description":679},"agent\u002Fdesktop\u002Fautoglm",[729,732,734,736],{"name":730,"url":637,"accessed":731},"AutoGLM 项目主页（清华 \u002F Z.AI）","2026-06-24",{"name":733,"url":645,"accessed":731},"腾讯新闻 — 智谱开源 AutoGLM",{"name":735,"url":652,"accessed":731},"AutoGLM arXiv 论文 2411.00820",{"name":737,"url":659,"accessed":731},"Chrome Web Store — 智谱清言扩展（10万+用户）","tools\u002Fagent\u002Fdesktop\u002Fautoglm","智谱清言出品 + 清华团队 GUI 自治智能体——Open-AutoGLM 开源 9B 手机模型 + Chrome 浏览器扩展",[741,742,743,744,745,746,747],"gui-agent","mobile-agent","browser-agent","opensource","chinese","zhipu","chatglm","国内『AI 操作手机 \u002F 浏览器』开源标杆——智谱 32 个月研发、清华学术背景、MIT 开源模型权重。学术研究 \u002F 国内 App 自治 \u002F 私有化部署首选。生产稳定性 + 跨平台桌面仍弱于 Anthropic Computer Use \u002F Claude Desktop。","1og-lVvY96M5Pb0YCag_rF6ZZeFg-gz3lp2bphyJXh4",{"id":751,"title":385,"alternatives":752,"api_compatible":9,"body":754,"category":677,"chinese_friendly":257,"cover":1439,"description":1440,"domestic":680,"extension":681,"faq":1441,"free":680,"github":9,"languages":1454,"lastVerified":9,"meta":1456,"models":9,"navigation":253,"notSuitable":9,"opensource":253,"path":618,"pillar":700,"platforms":1457,"priceTable":1461,"pricing":1465,"published":720,"relatedPlaybooks":1466,"relatedReviews":9,"score":1468,"self_host":253,"seo":1469,"seoTitle":9,"slug":15,"sources":1470,"stem":1479,"suitable":9,"tagline":1480,"tags":1481,"updated":731,"verdict":1488,"website":1489,"__hash__":1490},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[14,727,753],"agent\u002Fdesktop\u002Fcrush",{"type":18,"value":755,"toc":1427},[756,758,761,764,766,834,836,850,854,858,881,885,911,914,1075,1078,1110,1112,1281,1283,1345,1347,1373,1375,1392,1394,1424],[21,757,24],{"id":23},[26,759,760],{},"OpenClaw 是 2026 现象级开源个人 AI Agent 框架（MIT 协议）——Peter Steinberger 2025 末创建，2026-02 移交开源基金会，60 天 28-35.5 万 GitHub stars 历史级速度。差异点：Gateway 网关连接 20+ IM 平台（Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书）+ 30 分钟 Heartbeat 主动触发 + Cron 调度 + ClawHub 5400+ Skills 市场 + 多 Agent 隔离 + 本地长期记忆。完全自托管，本地 Ollama 模型零成本运行。",[26,762,763],{},"适合：要『手机 IM 一句话支使 AI 干活』的 power user；监控告警 \u002F 定时简报 \u002F 邮件分拣 \u002F 浏览器自动化等 7×24 后台场景；数据隐私敏感 + 自托管刚需；中国大陆用户（本地 Ollama 全免费）。不适合：纯 GUI \u002F 桌面交互党（Claude Desktop 更顺）；不会折腾 Node \u002F Docker \u002F WSL 的纯用户；要『一句话就跑通』的非技术用户。",[21,765,34],{"id":34},[36,767,768,774,780,786,792,798,804,810,816,822,828],{},[39,769,770,773],{},[42,771,772],{},"Gateway 多渠道","：Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F MS Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书 + WebChat + 移动 node",[39,775,776,779],{},[42,777,778],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[39,781,782,785],{},[42,783,784],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[39,787,788,791],{},[42,789,790],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[39,793,794,797],{},[42,795,796],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[39,799,800,803],{},[42,801,802],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[39,805,806,809],{},[42,807,808],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[39,811,812,815],{},[42,813,814],{},"多 LLM provider","：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[39,817,818,821],{},[42,819,820],{},"MCP 兼容","：可调用 MCP server",[39,823,824,827],{},[42,825,826],{},"Web Control UI","：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[39,829,830,833],{},[42,831,832],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[21,835,108],{"id":108},[36,837,838,844,847],{},[39,839,840,843],{},[42,841,842],{},"Self-host OSS","：$0；MIT 完全开放",[39,845,846],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[39,848,849],{},"轻度 $5-10 \u002F 月，中度 $20-30，重度 $50+ —— 全部来自外部 LLM 而非 OpenClaw 本身",[21,851,853],{"id":852},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[26,855,856],{},[42,857,143],{},[36,859,860,863,866,869,872,875,878],{},[39,861,862],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[39,864,865],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[39,867,868],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[39,870,871],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[39,873,874],{},"本地 Ollama 路径让数据 + 隐私完全自主",[39,876,877],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[39,879,880],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[26,882,883],{},[42,884,168],{},[36,886,887,890,893,896,899,902,905,908],{},[39,888,889],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[39,891,892],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[39,894,895],{},"国内 IM 渠道（微信 \u002F 钉钉 \u002F 飞书）的 plugin 受平台风控影响，账号风险要评估",[39,897,898],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[39,900,901],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[39,903,904],{},"Web Control UI 在大量 session 下渲染偏慢",[39,906,907],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[39,909,910],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[21,912,913],{"id":913},"上手",[197,915,917],{"className":199,"code":916,"language":201,"meta":202,"style":202},"# 方法一：NPM\nnpm install -g openclaw\nopenclaw --version\n\n# 方法二：Docker\ndocker run -d --name openclaw \\\n  -v ~\u002F.openclaw:\u002Froot\u002F.openclaw \\\n  openclaw\u002Fopenclaw:latest\n\n# 方法三：源码\ngit clone https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\ncd openclaw && npm install && npm run start\n\n# 引导配置（model \u002F channel \u002F 权限）\nopenclaw onboard\n\n# 启动\nopenclaw                 # CLI\nopenclaw dashboard       # Web UI\n",[204,918,919,924,937,945,949,954,973,983,988,992,997,1006,1027,1031,1037,1045,1050,1056,1064],{"__ignoreMap":202},[207,920,921],{"class":209,"line":210},[207,922,923],{"class":260},"# 方法一：NPM\n",[207,925,926,929,931,934],{"class":209,"line":224},[207,927,928],{"class":213},"npm",[207,930,241],{"class":217},[207,932,933],{"class":227}," -g",[207,935,936],{"class":217}," openclaw\n",[207,938,939,942],{"class":209,"line":250},[207,940,941],{"class":213},"openclaw",[207,943,944],{"class":227}," --version\n",[207,946,947],{"class":209,"line":257},[207,948,254],{"emptyLinePlaceholder":253},[207,950,951],{"class":209,"line":264},[207,952,953],{"class":260},"# 方法二：Docker\n",[207,955,956,959,962,965,968,971],{"class":209,"line":276},[207,957,958],{"class":213},"docker",[207,960,961],{"class":217}," run",[207,963,964],{"class":227}," -d",[207,966,967],{"class":227}," --name",[207,969,970],{"class":217}," openclaw",[207,972,341],{"class":227},[207,974,975,978,981],{"class":209,"line":281},[207,976,977],{"class":227},"  -v",[207,979,980],{"class":217}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[207,982,341],{"class":227},[207,984,985],{"class":209,"line":287},[207,986,987],{"class":217},"  openclaw\u002Fopenclaw:latest\n",[207,989,990],{"class":209,"line":321},[207,991,254],{"emptyLinePlaceholder":253},[207,993,994],{"class":209,"line":326},[207,995,996],{"class":260},"# 方法三：源码\n",[207,998,999,1001,1003],{"class":209,"line":332},[207,1000,214],{"class":213},[207,1002,218],{"class":217},[207,1004,1005],{"class":217}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[207,1007,1008,1010,1012,1014,1016,1018,1020,1022,1024],{"class":209,"line":344},[207,1009,228],{"class":227},[207,1011,970],{"class":217},[207,1013,235],{"class":234},[207,1015,928],{"class":213},[207,1017,241],{"class":217},[207,1019,235],{"class":234},[207,1021,928],{"class":213},[207,1023,961],{"class":217},[207,1025,1026],{"class":217}," start\n",[207,1028,1029],{"class":209,"line":355},[207,1030,254],{"emptyLinePlaceholder":253},[207,1032,1034],{"class":209,"line":1033},14,[207,1035,1036],{"class":260},"# 引导配置（model \u002F channel \u002F 权限）\n",[207,1038,1040,1042],{"class":209,"line":1039},15,[207,1041,941],{"class":213},[207,1043,1044],{"class":217}," onboard\n",[207,1046,1048],{"class":209,"line":1047},16,[207,1049,254],{"emptyLinePlaceholder":253},[207,1051,1053],{"class":209,"line":1052},17,[207,1054,1055],{"class":260},"# 启动\n",[207,1057,1059,1061],{"class":209,"line":1058},18,[207,1060,941],{"class":213},[207,1062,1063],{"class":260},"                 # CLI\n",[207,1065,1067,1069,1072],{"class":209,"line":1066},19,[207,1068,941],{"class":213},[207,1070,1071],{"class":217}," dashboard",[207,1073,1074],{"class":260},"       # Web UI\n",[26,1076,1077],{},"配本地免费 Ollama：",[197,1079,1081],{"className":199,"code":1080,"language":201,"meta":202,"style":202},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[204,1082,1083,1094],{"__ignoreMap":202},[207,1084,1085,1088,1091],{"class":209,"line":210},[207,1086,1087],{"class":213},"ollama",[207,1089,1090],{"class":217}," pull",[207,1092,1093],{"class":217}," llama3\n",[207,1095,1096,1098,1101,1104,1107],{"class":209,"line":224},[207,1097,941],{"class":213},[207,1099,1100],{"class":217}," config",[207,1102,1103],{"class":217}," set",[207,1105,1106],{"class":217}," ai.provider",[207,1108,1109],{"class":217}," \"ollama\"\n",[21,1111,364],{"id":364},[366,1113,1114,1129],{},[369,1115,1116],{},[372,1117,1118,1120,1122,1124,1126],{},[375,1119,377],{},[375,1121,385],{},[375,1123,382],{},[375,1125,12],{},[375,1127,1128],{},"Crush",[390,1130,1131,1148,1162,1176,1192,1207,1220,1235,1251,1266],{},[372,1132,1133,1136,1139,1142,1145],{},[395,1134,1135],{},"形态",[395,1137,1138],{},"IM 网关 + 多 Agent 自治",[395,1140,1141],{},"桌面客户端 + MCP",[395,1143,1144],{},"Phone\u002FWeb GUI agent",[395,1146,1147],{},"终端 TUI agent",[372,1149,1150,1153,1156,1158,1160],{},[395,1151,1152],{},"7×24 Heartbeat",[395,1154,1155],{},"✅ 30 分钟",[395,1157,437],{},[395,1159,437],{},[395,1161,437],{},[372,1163,1164,1167,1170,1172,1174],{},[395,1165,1166],{},"多 IM 渠道",[395,1168,1169],{},"✅ 20+",[395,1171,437],{},[395,1173,437],{},[395,1175,437],{},[372,1177,1178,1181,1184,1187,1189],{},[395,1179,1180],{},"Skills 市场",[395,1182,1183],{},"✅ ClawHub 5400+",[395,1185,1186],{},"✅ MCP Connectors",[395,1188,437],{},[395,1190,1191],{},"✅ Agent Skills 标准",[372,1193,1194,1196,1199,1202,1204],{},[395,1195,784],{},[395,1197,1198],{},"✅",[395,1200,1201],{},"Projects",[395,1203,437],{},[395,1205,1206],{},"session",[372,1208,1209,1211,1213,1215,1217],{},[395,1210,414],{},[395,1212,423],{},[395,1214,420],{},[395,1216,417],{},[395,1218,1219],{},"FSL-1.1-MIT",[372,1221,1222,1225,1228,1230,1233],{},[395,1223,1224],{},"本地 LLM",[395,1226,1227],{},"✅ Ollama 友好",[395,1229,437],{},[395,1231,1232],{},"✅ 9B 自模型",[395,1234,1198],{},[372,1236,1237,1240,1243,1246,1248],{},[395,1238,1239],{},"中国大陆友好",[395,1241,1242],{},"✅ 完全",[395,1244,1245],{},"❌ 支付",[395,1247,1198],{},[395,1249,1250],{},"✅ 部分",[372,1252,1253,1256,1258,1261,1263],{},[395,1254,1255],{},"起价",[395,1257,707],{},[395,1259,1260],{},"$20\u002F月 +",[395,1262,707],{},[395,1264,1265],{},"$0 + API",[372,1267,1268,1270,1273,1275,1278],{},[395,1269,506],{},[395,1271,1272],{},"7×24 IM 触发个人 agent",[395,1274,512],{},[395,1276,1277],{},"Phone GUI",[395,1279,1280],{},"终端 power user",[21,1282,521],{"id":521},[36,1284,1285,1291,1297,1303,1309,1315,1321,1327,1333,1339],{},[39,1286,1287,1290],{},[42,1288,1289],{},"Skill 选型评估","：5400+ Skill 里挑官方 \u002F 高 star \u002F 仔细看 source，沙箱模式优先",[39,1292,1293,1296],{},[42,1294,1295],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[39,1298,1299,1302],{},[42,1300,1301],{},"国内 IM 风控","：微信 \u002F 钉钉账号要用独立小号，避免主账号被风控",[39,1304,1305,1308],{},[42,1306,1307],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[39,1310,1311,1314],{},[42,1312,1313],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[39,1316,1317,1320],{},[42,1318,1319],{},"sandbox 权限默认保守","：复杂自动化要在 onboard 阶段调整权限，不要一上来全 root",[39,1322,1323,1326],{},[42,1324,1325],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[39,1328,1329,1332],{},[42,1330,1331],{},"Windows 走 WSL2","：原生 Windows 兼容差",[39,1334,1335,1338],{},[42,1336,1337],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[39,1340,1341,1344],{},[42,1342,1343],{},"Heartbeat 间隔自定义","：默认 30 分钟，做高频监控可调短，但成本对应增加",[21,1346,575],{"id":574},[36,1348,1349,1352,1355,1358,1361,1364,1367,1370],{},[39,1350,1351],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[39,1353,1354],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[39,1356,1357],{},"✅ 数据隐私敏感 + 自托管刚需",[39,1359,1360],{},"✅ 中国大陆用户走本地 Ollama 全免费",[39,1362,1363],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[39,1365,1366],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[39,1368,1369],{},"❌ 要一键就跑的非技术用户",[39,1371,1372],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[21,1374,604],{"id":604},[36,1376,1377,1381,1386],{},[39,1378,1379],{},[610,1380,613],{"href":612},[39,1382,1383],{},[610,1384,1385],{"href":699},"AutoGLM 评测",[39,1387,1388],{},[610,1389,1391],{"href":1390},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush","Crush 评测",[21,1393,628],{"id":628},[630,1395,1396,1403,1410,1417],{},[39,1397,1398,1399],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[610,1400,1401],{"href":1401,"rel":1402},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[639],[39,1404,1405,1406],{},"技术栈 — OpenClaw 2026 实战指南 ",[610,1407,1408],{"href":1408,"rel":1409},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[639],[39,1411,1412,1413],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[610,1414,1415],{"href":1415,"rel":1416},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[639],[39,1418,1419,1420],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[610,1421,1422],{"href":1422,"rel":1423},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[639],[662,1425,1426],{},"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":202,"searchDepth":250,"depth":250,"links":1428},[1429,1430,1431,1432,1433,1434,1435,1436,1437,1438],{"id":23,"depth":224,"text":24},{"id":34,"depth":224,"text":34},{"id":108,"depth":224,"text":108},{"id":852,"depth":224,"text":853},{"id":913,"depth":224,"text":913},{"id":364,"depth":224,"text":364},{"id":521,"depth":224,"text":521},{"id":574,"depth":224,"text":575},{"id":604,"depth":224,"text":604},{"id":628,"depth":224,"text":628},"\u002Fimg\u002Ftools\u002Fopenclaw.webp","OpenClaw 真实评测：原名 Clawdbot \u002F Moltbot，Peter Steinberger 2025 末创建，2026-02 移交开源基金会。60 天 28-35.5 万 GitHub stars，超 React 历史速度。MIT 协议自托管 Gateway 连接 Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo 等 20+ IM 平台。Heartbeat 30 分钟主动触发 + Cron + Skills（ClawHub 5400+）+ 多 Agent 隔离 + 本地长期记忆。Node 24（推荐）或 22 LTS。",[1442,1445,1448,1451],{"q":1443,"a":1444},"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":1446,"a":1447},"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":1449,"a":1450},"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":1452,"a":1453},"中国大陆能用吗？","完全可以。OpenClaw 自托管 + MIT 开源 + 本地 Ollama 模型路径全免费 + 无外网 \u002F 海外卡依赖。微信 \u002F 钉钉 \u002F 飞书都有 channel 插件。配 Ollama llama3 \u002F Qwen 中文模型可全离线。仅外接 GPT \u002F Claude API 时需要海外网络 + 海外卡。",[697,696,1455],"multi",{},[1458,1459,1460,958],"macos","linux","windows-wsl",[1462],{"plan":842,"price":707,"features":1463,"notes":1464},"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）",[1467],"onboarding\u002Fpersonal-247-ai-agent",{"power":264,"ux":257,"price":264,"cn_support":257,"stability":257},{"title":385,"description":1440},[1471,1473,1475,1477],{"name":1472,"url":1401,"accessed":731},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 多渠道）",{"name":1474,"url":1408,"accessed":731},"技术栈 — OpenClaw 2026 实战指南",{"name":1476,"url":1415,"accessed":731},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat）",{"name":1478,"url":1422,"accessed":731},"腾讯云 — Computer Use Agent 爆发分析","tools\u002Fagent\u002Fdesktop\u002Fopenclaw","2026 现象级开源个人 AI Agent——多 IM 网关 + 技能市场 ClawHub 5400+ + 7×24 Heartbeat",[744,1482,1483,1484,1485,1486,1487,941],"self-host","gateway","mcp","multi-agent","im-bot","mit","2026 最火个人 AI Agent——『IM 触发 + 7×24 主动 + 本地控制』三件套。要从 Telegram \u002F 微信 \u002F Discord 一句话支使 AI 干活的 power user 首选。GUI 党 \u002F 非工程师仍推 Claude Desktop。","https:\u002F\u002Fdocs.openclaw.ai","q7sFgtkzW-ui9ttj9bhIHbHWtLJSEmMSW65tBv8zVwE",1784565439920]