[{"data":1,"prerenderedAt":3279},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-hermes-agent":8,"alt-list-hermes-agent":828},{"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":746,"chinese_friendly":349,"cover":747,"description":748,"domestic":749,"extension":750,"faq":751,"free":752,"github":753,"languages":754,"lastVerified":756,"meta":757,"models":758,"navigation":752,"notSuitable":763,"opensource":752,"path":768,"pillar":769,"platforms":770,"priceTable":774,"pricing":787,"published":788,"relatedPlaybooks":751,"relatedReviews":789,"score":791,"self_host":752,"seo":792,"seoTitle":793,"slug":794,"sources":795,"stem":810,"suitable":811,"tagline":817,"tags":818,"updated":788,"verdict":826,"website":753,"__hash__":827},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent.md","Hermes Agent",[12,13,14],"agent\u002Fgeneral\u002Fmanus","agent\u002Fgeneral\u002Fopenmanus","agent\u002Fdesktop\u002Fopenclaw",[16,17,18],"openai","anthropic","local",{"type":20,"value":21,"toc":724},"minimark",[22,26,35,41,51,55,60,67,95,102,106,113,127,130,134,140,227,233,236,239,245,263,266,269,272,292,295,298,301,315,318,321,403,418,421,427,442,445,448,474,477,531,537,540,650,654,660,666,672,678,684,687,720],[23,24,25],"h2",{"id":25},"一句话结论",[27,28,29,30,34],"p",{},"如果你想要一个",[31,32,33],"strong",{},"完全开源、能自我进化、有长期记忆、可以部署在十几个消息平台上的 AI Agent","——Hermes Agent 在 2026 年是最成熟的选择。GitHub 10 万 Star，2 月开源到 5 月就翻了一倍。",[27,36,37,38],{},"但它的门槛比 Manus 高一个量级：没有漂亮的 Web 界面，需要自己装 Python 环境、配置 LLM API、管理记忆数据库。",[31,39,40],{},"它面向的是\"想拥有自己 Agent 基础设施\"的极客，不是\"想要一个好用 AI 助手\"的普通用户。",[42,43,45],"callout",{"type":44},"info",[27,46,47,50],{},[31,48,49],{},"定位区分","：Manus 是\"帮你干完事的云端 Agent\"，OpenClaw 是\"常驻你电脑的 AI 操作系统\"，Hermes Agent 是\"你能完全掌控和改造的自进化 Agent\"。三者目标不同，选型看你需要的是\"用\"还是\"拥有\"。",[23,52,54],{"id":53},"hermes-agent-解决的核心问题","Hermes Agent 解决的核心问题",[56,57,59],"h3",{"id":58},"问题-1agent-没有长期记忆","问题 1：Agent 没有\"长期记忆\"",[27,61,62,63,66],{},"大多数 AI Agent 的记忆只有当前会话的上下文窗口。你昨天让它做的事、偏好、上下文，今天全忘了。Hermes Agent 内置了",[31,64,65],{},"分层记忆系统","：",[68,69,70,77,83,89],"ul",{},[71,72,73,76],"li",{},[31,74,75],{},"工作记忆","：当前会话上下文，类似人类短期记忆",[71,78,79,82],{},[31,80,81],{},"情景记忆","：记录每次交互的时间、事件、结果，支持按时间线回溯",[71,84,85,88],{},[31,86,87],{},"语义记忆","：从交互中抽取知识（你告诉它的偏好、事实、规则），长期保存",[71,90,91,94],{},[31,92,93],{},"技能记忆","：Agent 自动总结\"怎么做某件事\"的步骤，下次直接调用",[27,96,97,98,101],{},"这意味着 Hermes Agent 是",[31,99,100],{},"越用越好用","的——它会记住你的工作习惯、项目上下文、你纠正过的错误。",[56,103,105],{"id":104},"问题-2单个模型能力有天花板","问题 2：单个模型能力有天花板",[27,107,108,109,112],{},"2026 年 6 月，Nous Research 给 Hermes Agent 加了 ",[31,110,111],{},"MoA（Mixture of Agents）"," 功能：",[68,114,115,118,121,124],{},[71,116,117],{},"多个 Agent 实例并行处理同一个任务",[71,119,120],{},"每个 Agent 可以用不同模型（Claude \u002F GPT \u002F Hermes \u002F 本地模型）",[71,122,123],{},"结果由一个\"聚合 Agent\"合并去重、交叉验证",[71,125,126],{},"最终输出质量 > 任何单个模型",[27,128,129],{},"实际效果：用 3 个中档模型做 MoA，输出质量可以接近 1 个顶级模型，但成本只有 1\u002F3。",[56,131,133],{"id":132},"问题-3agent-只能在一个地方用","问题 3：Agent 只能在一个地方用",[27,135,136,137,66],{},"Hermes Agent 支持 ",[31,138,139],{},"14 个消息渠道",[141,142,143,156],"table",{},[144,145,146],"thead",{},[147,148,149,153],"tr",{},[150,151,152],"th",{},"平台",[150,154,155],{},"状态",[157,158,159,168,176,183,190,197,204,211,219],"tbody",{},[147,160,161,165],{},[162,163,164],"td",{},"Telegram",[162,166,167],{},"✅ 推荐，最稳定",[147,169,170,173],{},[162,171,172],{},"Discord",[162,174,175],{},"✅",[147,177,178,181],{},[162,179,180],{},"Slack",[162,182,175],{},[147,184,185,188],{},[162,186,187],{},"WhatsApp",[162,189,175],{},[147,191,192,195],{},[162,193,194],{},"Signal",[162,196,175],{},[147,198,199,202],{},[162,200,201],{},"Email",[162,203,175],{},[147,205,206,209],{},[162,207,208],{},"CLI（终端）",[162,210,175],{},[147,212,213,216],{},[162,214,215],{},"Web UI",[162,217,218],{},"✅ 基础版",[147,220,221,224],{},[162,222,223],{},"微信",[162,225,226],{},"⚠️ 非官方，不稳定",[27,228,229,230],{},"你可以在 Telegram 上给它发消息让它做事，结果推送到 Discord；或者在 CLI 里开发时让它监听 Git 提交自动跑测试。",[31,231,232],{},"一个 Agent 实例，多个入口。",[23,234,235],{"id":235},"核心能力",[56,237,238],{"id":238},"自我进化",[27,240,241,242,66],{},"Hermes Agent 最独特的能力是 ",[31,243,244],{},"Profile 系统",[68,246,247,250,253,260],{},[71,248,249],{},"每个 Profile 是一个\"人格 + 技能包\"的组合",[71,251,252],{},"你可以创建多个 Profile（如\"代码助手\"、\"研究助手\"、\"项目经理\"）",[71,254,255,256,259],{},"Agent 在执行任务后会",[31,257,258],{},"自动总结经验","，更新 Profile 的技能库",[71,261,262],{},"下次遇到类似任务，直接调用已有技能，不用从零开始",[27,264,265],{},"这意味着 Hermes Agent 不是\"每次都从零开始的 ChatBot\"，而是\"会积累经验的数字员工\"。",[56,267,268],{"id":268},"工具调用",[27,270,271],{},"Hermes Agent 支持自定义工具（function calling）：",[68,273,274,277,280,283,286,289],{},[71,275,276],{},"搜索引擎（Google \u002F Bing \u002F SearXNG）",[71,278,279],{},"代码执行（Python sandbox）",[71,281,282],{},"文件读写",[71,284,285],{},"Web 浏览（Playwright）",[71,287,288],{},"自定义 API 调用",[71,290,291],{},"数据库查询",[27,293,294],{},"工具配置是 JSON 格式，添加新工具只需写一个 function 定义。",[56,296,297],{"id":297},"记忆管理",[27,299,300],{},"记忆系统基于向量数据库（默认 ChromaDB）：",[68,302,303,306,309,312],{},[71,304,305],{},"自动从对话中提取关键信息存入语义记忆",[71,307,308],{},"支持手动\"forget\"删除特定记忆",[71,310,311],{},"记忆有 TTL（过期时间），避免无限膨胀",[71,313,314],{},"支持记忆导出\u002F导入（JSON 格式），方便迁移",[23,316,317],{"id":317},"使用体验",[56,319,320],{"id":320},"安装部署",[322,323,328],"pre",{"className":324,"code":325,"language":326,"meta":327,"style":327},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\ncd hermes-agent\npip install -r requirements.txt\ncp .env.example .env\n# 配置 LLM API key、消息平台 token\npython -m hermes.agent\n","bash","",[329,330,331,347,357,372,384,391],"code",{"__ignoreMap":327},[332,333,336,340,344],"span",{"class":334,"line":335},"line",1,[332,337,339],{"class":338},"sScJk","git",[332,341,343],{"class":342},"sZZnC"," clone",[332,345,346],{"class":342}," https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\n",[332,348,350,354],{"class":334,"line":349},2,[332,351,353],{"class":352},"sj4cs","cd",[332,355,356],{"class":342}," hermes-agent\n",[332,358,360,363,366,369],{"class":334,"line":359},3,[332,361,362],{"class":338},"pip",[332,364,365],{"class":342}," install",[332,367,368],{"class":352}," -r",[332,370,371],{"class":342}," requirements.txt\n",[332,373,375,378,381],{"class":334,"line":374},4,[332,376,377],{"class":338},"cp",[332,379,380],{"class":342}," .env.example",[332,382,383],{"class":342}," .env\n",[332,385,387],{"class":334,"line":386},5,[332,388,390],{"class":389},"sJ8bj","# 配置 LLM API key、消息平台 token\n",[332,392,394,397,400],{"class":334,"line":393},6,[332,395,396],{"class":338},"python",[332,398,399],{"class":352}," -m",[332,401,402],{"class":342}," hermes.agent\n",[27,404,405,406,409,410,413,414,417],{},"部署需要 ",[31,407,408],{},"Python 3.11+","、",[31,411,412],{},"至少 8GB RAM","（跑本地模型需要更多）、",[31,415,416],{},"向量数据库","（默认 ChromaDB，可选 Qdrant）。",[56,419,420],{"id":420},"日常使用",[27,422,423,424,66],{},"最顺的使用方式是 ",[31,425,426],{},"Telegram + Claude API",[428,429,430,433,436,439],"ol",{},[71,431,432],{},"在 Telegram 上给 Agent 发消息",[71,434,435],{},"Agent 读取记忆、规划任务、调用工具",[71,437,438],{},"执行过程中实时推送进度",[71,440,441],{},"完成后推送结果 + 自动更新记忆",[27,443,444],{},"体感类似\"有一个 7×24 小时在线的助手\"，但它不是即问即答——复杂任务可能需要 2-5 分钟。",[56,446,447],{"id":447},"短板",[68,449,450,456,462,468],{},[71,451,452,455],{},[31,453,454],{},"文档偏英文","：几乎没有中文文档，国内用户上手门槛高",[71,457,458,461],{},[31,459,460],{},"稳定性","：项目迭代极快（每周多个 commit），偶尔有 breaking change",[71,463,464,467],{},[31,465,466],{},"资源消耗","：记忆系统 + 多 Agent 会占用较多内存和 API token",[71,469,470,473],{},[31,471,472],{},"UI 简陋","：Web UI 只是基础版，不如 Manus \u002F OpenClaw 精致",[23,475,476],{"id":476},"价格",[141,478,479,489],{},[144,480,481],{},[147,482,483,486],{},[150,484,485],{},"项目",[150,487,488],{},"成本",[157,490,491,499,507,515,523],{},[147,492,493,496],{},[162,494,495],{},"Hermes Agent 本体",[162,497,498],{},"免费（开源）",[147,500,501,504],{},[162,502,503],{},"LLM API",[162,505,506],{},"BYOK，用 Claude\u002FGPT 按各自 API 计费",[147,508,509,512],{},[162,510,511],{},"本地模型",[162,513,514],{},"免费但需要 GPU（70B 模型需 ~48GB VRAM）",[147,516,517,520],{},[162,518,519],{},"服务器",[162,521,522],{},"自托管需要一台 VPS（推荐 4 核 16GB 起步）",[147,524,525,528],{},[162,526,527],{},"消息平台",[162,529,530],{},"Telegram\u002FDiscord 等均免费",[27,532,533,536],{},[31,534,535],{},"最低成本","：一台 $5\u002F月 VPS + Claude API 按量付费 ≈ $10-20\u002F月可跑日常任务。",[23,538,539],{"id":539},"与同类对比",[141,541,542,557],{},[144,543,544],{},[147,545,546,549,551,554],{},[150,547,548],{},"维度",[150,550,10],{},[150,552,553],{},"Manus",[150,555,556],{},"OpenClaw",[157,558,559,571,583,596,610,624,636],{},[147,560,561,564,566,569],{},[162,562,563],{},"开源",[162,565,175],{},[162,567,568],{},"❌",[162,570,175],{},[147,572,573,575,578,580],{},[162,574,238],{},[162,576,577],{},"✅ Profile 系统",[162,579,568],{},[162,581,582],{},"⚠️ 有限",[147,584,585,588,591,594],{},[162,586,587],{},"长期记忆",[162,589,590],{},"✅ 分层记忆",[162,592,593],{},"❌ 单会话",[162,595,175],{},[147,597,598,601,604,607],{},[162,599,600],{},"跨平台部署",[162,602,603],{},"✅ 14 渠道",[162,605,606],{},"❌ Web only",[162,608,609],{},"⚠️ 桌面+CLI",[147,611,612,615,618,621],{},[162,613,614],{},"上手难度",[162,616,617],{},"★★★★☆",[162,619,620],{},"★☆☆☆☆",[162,622,623],{},"★★★☆☆",[147,625,626,629,632,634],{},[162,627,628],{},"中文体验",[162,630,631],{},"★★☆☆☆",[162,633,617],{},[162,635,623],{},[147,637,638,641,644,647],{},[162,639,640],{},"适合人群",[162,642,643],{},"极客\u002F研究者",[162,645,646],{},"普通用户",[162,648,649],{},"开发者",[23,651,653],{"id":652},"faq","FAQ",[27,655,656,659],{},[31,657,658],{},"Q：Hermes Agent 能用中文交互吗？","\n能，但体验一般。Hermes 4 模型的中文能力不如 Claude\u002FGPT，且文档和社区以英文为主。建议用 Claude\u002FGPT 作为后端模型，中文交互质量会好很多。",[27,661,662,665],{},[31,663,664],{},"Q：和 OpenManus 有什么区别？","\nOpenManus 是 Manus 的开源复刻版，定位是\"通用 Agent 执行器\"。Hermes Agent 更侧重\"长期陪伴+自我进化+多平台部署\"。OpenManus 更轻量，Hermes 功能更全但更重。",[27,667,668,671],{},[31,669,670],{},"Q：需要什么硬件？","\n纯 API 模式（用 Claude\u002FGPT）只需一台普通 VPS。跑本地 Hermes 4 70B 需要 ~48GB VRAM，405B 需要 ~240GB VRAM（多卡服务器）。",[27,673,674,677],{},[31,675,676],{},"Q：记忆数据存在哪？","\n默认存在本地 ChromaDB（SQLite + 向量索引）。可以配置为 Qdrant、Weaviate 等远程向量数据库。数据完全自主，不会上传到任何第三方。",[27,679,680,683],{},[31,681,682],{},"Q：能同时跑多个 Profile 吗？","\n可以。每个 Profile 是独立的记忆+技能库，可以并行运行。比如同时让\"代码助手\"Profile 审查代码、\"研究助手\"Profile 做市场调研。",[23,685,686],{"id":686},"相关阅读",[68,688,689,696,702,708,714],{},[71,690,691],{},[692,693,695],"a",{"href":694},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡",[71,697,698],{},[692,699,701],{"href":700},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus 工具卡",[71,703,704],{},[692,705,707],{"href":706},"\u002Fagent\u002Fdesktop\u002Fopenclaw.html","OpenClaw 工具卡",[71,709,710],{},[692,711,713],{"href":712},"\u002Freview\u002Fmanus-deep-review.html","Manus 深度评测",[71,715,716],{},[692,717,719],{"href":718},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark 对比",[721,722,723],"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 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万 GitHub Star。MoA 混合智能体架构、记忆系统、技能自动创建、跨平台部署（Telegram\u002FDiscord\u002FSlack\u002FWhatsApp\u002FCLI）。本文整理核心能力、使用体验、与 Manus\u002FOpenClaw 对比、适用场景。",false,"md",null,true,"https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent",[755],"en","2026-08-02",{},[759,760,761,762],"hermes-4-405b","hermes-4-70b","claude-sonnet-4","gpt-5",[764,765,766,767],"需要中文为主交互的玩家（文档和界面均为英文）","不想折腾部署和配置的个人用户","需要生产级稳定性（项目仍在快速迭代）","预算有限且没有 GPU 服务器的用户","\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent","agent",[771,772,773],"linux","macos","windows",[775,781],{"plan":776,"price":777,"limit":778,"cn_pay":779,"note":780},"开源版","$0","完整功能，自托管","—","BYOK 模式",{"plan":782,"price":783,"limit":784,"cn_pay":785,"note":786},"API（Hermes 4）","按 token 计费","405B 模型按量付费","⚠️ 需海外卡","不想自托管时","免费（开源，BYOK）","2026-07-04",[790],"openhuman-deep-review",{"power":374,"ux":359,"price":386,"cn_support":349,"stability":359},{"title":10,"description":748},"Hermes Agent 评测 2026：Nous Research 开源自进化 AI Agent，10 万 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研究，但中文支持和文档偏弱。","pNMT39f89-NmMpTnzRzPCqZbq68gto5lxPJmcky1dQY",[829,1818,2534],{"id":830,"title":553,"alternatives":831,"api_compatible":835,"body":836,"category":746,"chinese_friendly":374,"cover":1743,"description":1744,"domestic":749,"extension":750,"faq":751,"free":752,"github":751,"languages":1745,"lastVerified":756,"meta":1747,"models":1748,"navigation":752,"notSuitable":1752,"opensource":749,"path":1757,"pillar":769,"platforms":1758,"priceTable":1760,"pricing":1775,"published":1776,"relatedPlaybooks":1777,"relatedReviews":1779,"score":1783,"self_host":749,"seo":1784,"seoTitle":1785,"slug":12,"sources":1786,"stem":1802,"suitable":1803,"tagline":1809,"tags":1810,"updated":1815,"verdict":1816,"website":1227,"__hash__":1817},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md",[832,833,834],"agent\u002Fgeneral\u002Fgenspark","coding\u002Fagent\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":20,"value":837,"toc":1723},[838,842,881,887,890,954,957,961,969,974,981,985,993,1059,1064,1068,1075,1079,1087,1092,1109,1112,1115,1118,1125,1128,1134,1193,1199,1205,1210,1216,1220,1263,1266,1306,1309,1479,1484,1501,1506,1526,1529,1595,1599,1602,1619,1622,1643,1645,1695,1698,1715],[23,839,841],{"id":840},"tldr","TL;DR",[843,844,849,866],"div",{"className":845},[846,847,848],"card","p-5","my-4",[27,850,851,854,855,858,859,865],{},[31,852,853],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[31,856,857],{},"邀请码一度被炒到 ¥5 万-10 万","（",[692,860,864],{"href":861,"rel":862},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[863],"nofollow","据维基百科引用 China Daily 报道","）。多 sub-agent 并行架构——浏览、数据分析、代码执行、写作各自专门子 agent，主 orchestrator 自动路由到 Claude \u002F Qwen \u002F 自研模型，结果合成交付。",[27,867,868,869,858,872,876,877,880],{},"2025-12 传被 ",[31,870,871],{},"Meta 以约 20-30 亿美元收购",[692,873,875],{"href":861,"rel":874},[863],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[31,878,879],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[882,883,884],"blockquote",{},[27,885,886],{},"来源说明：本文基于 manus.im 官方页面、Wikipedia \"Manus (AI agent)\" 条目、第三方评测（Pick Right \u002F HyzenPro \u002F Info-Tech Research Group \u002F 36Kr \u002F 世界经济论坛企业页）综合整理。Meta 收购案细节、产品路线图仍在变化中，请以最新官方公告为准。",[23,888,889],{"id":889},"背景与公司",[68,891,892,903,909,915,921,932,942,948],{},[71,893,894,897,898,902],{},[31,895,896],{},"公司","：Butterfly Effect Pte. Ltd.（",[692,899,901],{"href":861,"rel":900},[863],"蝴蝶效应","），创始人 Xiao Hong（季逸超 Ji Yichao 为 Manus 联合创始人 + 首席科学家）",[71,904,905,908],{},[31,906,907],{},"公司位置","：办公室在北京 + 武汉 + 新加坡，目标市场北美 \u002F 日本 \u002F 韩国（不主打中国大陆）",[71,910,911,914],{},[31,912,913],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[71,916,917,920],{},[31,918,919],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[71,922,923,926,927,931],{},[31,924,925],{},"Manus 启动","：2024-10 立项，灵感来自 ",[692,928,930],{"href":929},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[71,933,934,937,938],{},[31,935,936],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[692,939,941],{"href":861,"rel":940},[863],"Demo 视频 20 小时百万播放",[71,943,944,947],{},[31,945,946],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[71,949,950,953],{},[31,951,952],{},"Meta 收购","：2025-12-29 宣布，估值 20-30 亿美元，目前仍独立运营，但中国大陆已被屏蔽访问 + 关闭中文社交账号",[23,955,956],{"id":956},"核心特性",[56,958,960],{"id":959},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[27,962,963,968],{},[692,964,967],{"href":965,"rel":966},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[863],"Pick Right 2026-04 评测"," 描述的架构：",[882,970,971],{},[27,972,973],{},"\"Where most general-purpose AI products use one model end-to-end, Manus runs multiple specialized sub-agents in parallel: one handles web browsing, one handles data analysis, one handles code execution, one handles synthesis and writing.\"",[27,975,976,977,980],{},"主 orchestrator 给每一步选最合适的模型（Claude \u002F Qwen \u002F 自研），结果合成。这是 Manus 研究输出 ",[31,978,979],{},"引用密度更高、幻觉更少","的工程根源——分工 + 并行让每个 sub-agent 只做自己最擅长的部分。",[56,982,984],{"id":983},"通用-agent-模式","通用 Agent 模式",[27,986,987,992],{},[692,988,991],{"href":989,"rel":990},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[863],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[141,994,995,1005],{},[144,996,997],{},[147,998,999,1002],{},[150,1000,1001],{},"模型",[150,1003,1004],{},"GAIA 准确率",[157,1006,1007,1019,1027,1035,1043,1051],{},[147,1008,1009,1014],{},[162,1010,1011],{},[31,1012,1013],{},"Manus AI",[162,1015,1016],{},[31,1017,1018],{},">65%（SOTA）",[147,1020,1021,1024],{},[162,1022,1023],{},"H2O.ai (h2oGPTe)",[162,1025,1026],{},"65%",[147,1028,1029,1032],{},[162,1030,1031],{},"Google Langfun",[162,1033,1034],{},"49%",[147,1036,1037,1040],{},[162,1038,1039],{},"Microsoft o1",[162,1041,1042],{},"38%",[147,1044,1045,1048],{},[162,1046,1047],{},"OpenAI GPT-4o",[162,1049,1050],{},"32%",[147,1052,1053,1056],{},[162,1054,1055],{},"OpenAI GPT-4 + Plugins",[162,1057,1058],{},"15-30%",[882,1060,1061],{},[27,1062,1063],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[56,1065,1067],{"id":1066},"后台执行-长任务","后台执行 + 长任务",[27,1069,1070,1071,1074],{},"最特别的体验：任务下达后",[31,1072,1073],{},"可以关掉浏览器","，Manus 在云端继续跑（小时级），完成时通知。这种\"开着任务下班\"的模式是它 viral 的关键。",[56,1076,1078],{"id":1077},"web-app-builder","Web App Builder",[27,1080,1081,1082,1086],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[692,1083,1085],{"href":965,"rel":1084},[863],"Pick Right 评测"," 直白警告：",[882,1088,1089],{},[27,1090,1091],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[27,1093,1094,1095,1099,1100,1099,1104,1108],{},"复杂场景下出 bug 多，目前不建议生产部署，",[692,1096,1098],{"href":1097},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[692,1101,1103],{"href":1102},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[692,1105,1107],{"href":1106},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[56,1110,1111],{"id":1111},"桌面应用",[27,1113,1114],{},"提供 desktop app，能读本地文件 + 集成你的机器，不仅限于浏览器内任务。",[56,1116,1117],{"id":1117},"多模型路由",[27,1119,1120,1121,1124],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[31,1122,1123],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[23,1126,1127],{"id":1127},"价格与运行成本",[27,1129,1130,1133],{},[692,1131,1085],{"href":965,"rel":1132},[863]," 公开档位：",[141,1135,1136,1148],{},[144,1137,1138],{},[147,1139,1140,1143,1145],{},[150,1141,1142],{},"档位",[150,1144,476],{},[150,1146,1147],{},"关键点",[157,1149,1150,1160,1171,1182],{},[147,1151,1152,1155,1157],{},[162,1153,1154],{},"Free",[162,1156,777],{},[162,1158,1159],{},"每日有限 credits，够 1 个高强度任务\u002F天",[147,1161,1162,1165,1168],{},[162,1163,1164],{},"Pro",[162,1166,1167],{},"$20\u002F月",[162,1169,1170],{},"大多数付费用户落点；中等 credit + 多模型",[147,1172,1173,1176,1179],{},[162,1174,1175],{},"Plus",[162,1177,1178],{},"$50\u002F月",[162,1180,1181],{},"更高 credit + 优先队列，10+ 任务\u002F周",[147,1183,1184,1187,1190],{},[162,1185,1186],{},"Pro+ \u002F Team",[162,1188,1189],{},"最高 $200\u002F月",[162,1191,1192],{},"最大 credit + 团队空间（功能仍有限）",[27,1194,1195,1198],{},[31,1196,1197],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[27,1200,1201,66],{},[692,1202,1204],{"href":965,"rel":1203},[863],"Pick Right 真实使用反馈",[882,1206,1207],{},[27,1208,1209],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[27,1211,1212,1215],{},[31,1213,1214],{},"预算建议","：先用 Free 跑 3-5 个真实任务评估消耗速度，再决定档位。",[23,1217,1219],{"id":1218},"上手-5-分钟","上手 5 分钟",[428,1221,1222,1230,1233,1248,1251,1257,1260],{},[71,1223,1224,1225],{},"打开 ",[692,1226,1229],{"href":1227,"rel":1228},"https:\u002F\u002Fmanus.im",[863],"manus.im",[71,1231,1232],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[71,1234,1235,1236,1239,1240],{},"给一个完整任务描述（",[31,1237,1238],{},"关键","：不要碎片化指令，给全场景）\n",[322,1241,1246],{"className":1242,"code":1244,"language":1245},[1243],"language-text","\"调研欧洲前 10 大 EV 充电网络（覆盖率、价格、可靠性、充电速度），\n产出带引用的 Markdown 对比表\"\n","text",[329,1247,1244],{"__ignoreMap":327},[71,1249,1250],{},"选模型路由（Auto 推荐）",[71,1252,1253,1254,1256],{},"提交后",[31,1255,1073],{},"——任务在云端跑",[71,1258,1259],{},"完成后邮件 \u002F 站内通知",[71,1261,1262],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[23,1264,1265],{"id":1265},"国内使用注意事项",[428,1267,1268,1278,1284,1290],{},[71,1269,1270,66,1273,1277],{},[31,1271,1272],{},"大陆访问被屏蔽",[692,1274,1276],{"href":861,"rel":1275},[863],"Wikipedia 引用 36Kr 报道","，Butterfly Effect 已关闭中文社交账号、阻断中国大陆访问，原 Alibaba Qwen 合作版\"中文版 Manus\"已搁置",[71,1279,1280,1283],{},[31,1281,1282],{},"访问需稳定代理","：日韩 \u002F 美国节点",[71,1285,1286,1289],{},[31,1287,1288],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[71,1291,1292,1295,1296,1300,1301,1305],{},[31,1293,1294],{},"替代路径","：国内可考虑 ",[692,1297,1299],{"href":1298},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark"," \u002F Devv \u002F ",[692,1302,1304],{"href":1303},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[23,1307,1308],{"id":1308},"与同类怎么选",[141,1310,1311,1335],{},[144,1312,1313],{},[147,1314,1315,1317,1319,1325,1329,1332],{},[150,1316,548],{},[150,1318,553],{},[150,1320,1321],{},[692,1322,1324],{"href":1323},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[150,1326,1327],{},[692,1328,1299],{"href":1298},[150,1330,1331],{},"ChatGPT Deep Research",[150,1333,1334],{},"GenAgent",[157,1336,1337,1357,1376,1393,1408,1424,1441,1459],{},[147,1338,1339,1342,1345,1348,1351,1354],{},[162,1340,1341],{},"核心定位",[162,1343,1344],{},"通用 Agent",[162,1346,1347],{},"AI 程序员",[162,1349,1350],{},"AI 搜索 + Agent",[162,1352,1353],{},"LLM Deep Research",[162,1355,1356],{},"通用",[147,1358,1359,1362,1365,1368,1371,1374],{},[162,1360,1361],{},"架构",[162,1363,1364],{},"多 sub-agent 并行",[162,1366,1367],{},"单 Agent + 沙盒",[162,1369,1370],{},"多模型",[162,1372,1373],{},"单模型",[162,1375,779],{},[147,1377,1378,1381,1384,1387,1389,1391],{},[162,1379,1380],{},"长任务",[162,1382,1383],{},"★★★★★ 小时级",[162,1385,1386],{},"★★★★★",[162,1388,623],{},[162,1390,617],{},[162,1392,623],{},[147,1394,1395,1398,1400,1402,1404,1406],{},[162,1396,1397],{},"引用密度",[162,1399,1386],{},[162,1401,623],{},[162,1403,617],{},[162,1405,623],{},[162,1407,623],{},[147,1409,1410,1413,1416,1418,1420,1422],{},[162,1411,1412],{},"App Builder",[162,1414,1415],{},"⚠️ 有但 buggy",[162,1417,568],{},[162,1419,568],{},[162,1421,568],{},[162,1423,568],{},[147,1425,1426,1429,1432,1435,1437,1439],{},[162,1427,1428],{},"中文",[162,1430,1431],{},"⚠️ 大陆屏蔽",[162,1433,1434],{},"⚠️",[162,1436,1386],{},[162,1438,1434],{},[162,1440,617],{},[147,1442,1443,1445,1448,1451,1454,1457],{},[162,1444,476],{},[162,1446,1447],{},"$20-$200",[162,1449,1450],{},"$500\u002F月",[162,1452,1453],{},"$24.99\u002F月",[162,1455,1456],{},"随 ChatGPT Plus",[162,1458,779],{},[147,1460,1461,1464,1467,1470,1473,1476],{},[162,1462,1463],{},"适合场景",[162,1465,1466],{},"research \u002F 数据分析",[162,1468,1469],{},"写代码 \u002F 修 bug",[162,1471,1472],{},"信息检索",[162,1474,1475],{},"单次深度研究",[162,1477,1478],{},"综合",[27,1480,1481,66],{},[31,1482,1483],{},"选 Manus 如果你",[68,1485,1486,1492,1495,1498],{},[71,1487,1488,1489],{},"重视 research \u002F 数据分析任务的 ",[31,1490,1491],{},"引用密度和结构化输出",[71,1493,1494],{},"想试\"开任务下班、明早看结果\"的工作流",[71,1496,1497],{},"海外 \u002F 能解决账号网络问题",[71,1499,1500],{},"预算 $20-$50\u002F月，重度用户",[27,1502,1503,66],{},[31,1504,1505],{},"别选 Manus 如果你",[68,1507,1508,1517,1520,1523],{},[71,1509,1510,1511,1099,1513,1516],{},"国内裸用（",[692,1512,1299],{"href":1298},[692,1514,1515],{"href":1303},"Yuanbao"," 更顺）",[71,1518,1519],{},"想生产部署 App（Web App Builder bug 多）",[71,1521,1522],{},"团队协作场景（功能不完善）",[71,1524,1525],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[23,1527,1528],{"id":1528},"避坑清单",[68,1530,1531,1537,1547,1553,1559,1571,1577,1583],{},[71,1532,1533,1536],{},[31,1534,1535],{},"大陆访问已被官方屏蔽","：2025 年起阻断中国大陆访问，原\"中文版 Manus\"项目搁置",[71,1538,1539,66,1542,1546],{},[31,1540,1541],{},"credit 烧得比官方页面暗示的快",[692,1543,1545],{"href":965,"rel":1544},[863],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[71,1548,1549,1552],{},[31,1550,1551],{},"任务一启动无法控预算","：开始跑后只能 cancel 或等结束，credits 会一直消耗",[71,1554,1555,1558],{},[31,1556,1557],{},"Web App Builder 别上生产","：demo 漂亮，复杂场景翻车，Bolt.new \u002F Lovable \u002F v0 仍是生产部署更稳选项",[71,1560,1561,1564,1565,1570],{},[31,1562,1563],{},"每次任务从零开始","：没有持久 workspace，不像 ",[692,1566,1569],{"href":1567,"rel":1568},"https:\u002F\u002Fclaude.com",[863],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[71,1572,1573,1576],{},[31,1574,1575],{},"没有 HubSpot \u002F Salesforce \u002F Notion \u002F Slack 集成","：拿到结果后要自己手动搬到工具栈",[71,1578,1579,1582],{},[31,1580,1581],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[71,1584,1585,1588,1589,1594],{},[31,1586,1587],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[692,1590,1593],{"href":1591,"rel":1592},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[863],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[23,1596,1598],{"id":1597},"适合-不适合","适合 \u002F 不适合",[27,1600,1601],{},"✅ 适合：",[68,1603,1604,1607,1610,1613,1616],{},[71,1605,1606],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[71,1608,1609],{},"CSV \u002F Excel 重的数据分析任务",[71,1611,1612],{},"长任务 + 不想盯着看（小时级）",[71,1614,1615],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[71,1617,1618],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[27,1620,1621],{},"❌ 不适合：",[68,1623,1624,1627,1630,1633,1636],{},[71,1625,1626],{},"生产级应用部署",[71,1628,1629],{},"团队协作工作流",[71,1631,1632],{},"预算极敏感（free 档非常受限）",[71,1634,1635],{},"大陆稳定访问需求",[71,1637,1638,1639,1642],{},"需要深度持久上下文（用 ",[692,1640,1569],{"href":1567,"rel":1641},[863]," \u002F ChatGPT Custom GPT 等）",[23,1644,686],{"id":686},[68,1646,1647,1658,1669,1684],{},[71,1648,1649,1650,1099,1652,1654,1655,1657],{},"同类对比：",[692,1651,1324],{"href":1323},[692,1653,1299],{"href":1298}," \u002F Elicit \u002F ",[692,1656,1515],{"href":1303}," \u002F Metaso",[71,1659,1660,1661,1099,1665,1668],{},"概念：",[692,1662,1664],{"href":1663},"\u002Fwiki\u002Fai-agent.html","AI Agent",[692,1666,1667],{"href":1663},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[71,1670,1671,1672,1099,1676,1099,1680],{},"模型：",[692,1673,1675],{"href":1674},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[692,1677,1679],{"href":1678},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[692,1681,1683],{"href":1682},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[71,1685,1686,1687,1099,1691],{},"进阶：",[692,1688,1690],{"href":1689},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[692,1692,1694],{"href":1693},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[23,1696,1697],{"id":1697},"来源",[68,1699,1700,1706,1709,1712],{},[71,1701,1702,1703],{},"官网：",[692,1704,1227],{"href":1227,"rel":1705},[863],[71,1707,1708],{},"Wikipedia：\"Manus (AI agent)\" 条目",[71,1710,1711],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[71,1713,1714],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[27,1716,1717,1718,1722],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 功能 \u002F 公司状态与最新官方信息不一致，请通过 ",[692,1719,1721],{"href":1720},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":327,"searchDepth":359,"depth":359,"links":1724},[1725,1726,1727,1735,1736,1737,1738,1739,1740,1741,1742],{"id":840,"depth":349,"text":841},{"id":889,"depth":349,"text":889},{"id":956,"depth":349,"text":956,"children":1728},[1729,1730,1731,1732,1733,1734],{"id":959,"depth":359,"text":960},{"id":983,"depth":359,"text":984},{"id":1066,"depth":359,"text":1067},{"id":1077,"depth":359,"text":1078},{"id":1111,"depth":359,"text":1111},{"id":1117,"depth":359,"text":1117},{"id":1127,"depth":349,"text":1127},{"id":1218,"depth":349,"text":1219},{"id":1265,"depth":349,"text":1265},{"id":1308,"depth":349,"text":1308},{"id":1528,"depth":349,"text":1528},{"id":1597,"depth":349,"text":1598},{"id":686,"depth":349,"text":686},{"id":1697,"depth":349,"text":1697},"\u002Fimg\u002Ftools\u002Fmanus.webp","Manus 真实评测：Butterfly Effect（蝴蝶效应）出品的通用 AI Agent，多 sub-agent 并行架构 + 多模型路由（Claude \u002F Qwen \u002F 自研）。2025-03 首发即引爆，2025-12 传被 Meta 以约 20 亿美元收购。AIHO 编辑部基于官方文档与多份评测整理。",[1746,755],"zh",{},[761,1749,1750,1751],"claude-opus-4","qwen-max","manus-internal",[1753,1754,1755,1756],"生产级 Web App 部署（Web App Builder 仍有 bug）","团队协作场景（功能未完善）","需要持久工作空间 \u002F 跨会话上下文","对成本极敏感（credits 烧得快）","\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus",[1759,773,772,771],"web",[1761,1764,1767,1770],{"plan":1154,"price":777,"limit":1762,"cn_pay":779,"note":1763},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1164,"price":1167,"limit":1765,"cn_pay":785,"note":1766},"更高 credit + 更长任务时长 + 多模型路由","个人主力档",{"plan":1175,"price":1178,"limit":1768,"cn_pay":1434,"note":1769},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":1771,"price":1772,"limit":1773,"cn_pay":1434,"note":1774},"Pro+\u002FTeam","$200\u002F月","最大 credit + 团队工作空间（功能受限）","团队功能仍有限","Free \u002F Pro $20\u002Fmo \u002F Plus $50\u002Fmo \u002F Pro+ Team 最高 $200\u002Fmo","2026-06-18",[1778],"onboarding\u002Fmanus-getting-started",[1780,1781,1782],"manus-deep-review","autoglm-deep-review","openmanus-deep-review",{"power":386,"ux":386,"price":359,"cn_support":374,"stability":359},{"title":553,"description":1744},"Manus AI Agent 评测 2026：通用 AI 智能体，自主完成任务，对比 Devin",[1787,1789,1792,1794,1796,1799],{"title":1788,"url":1227},"Manus 官网",{"title":1790,"url":1791},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":1793,"url":965},"Manus AI Review 2026 (Pick Right)",{"title":1795,"url":989},"Info-Tech Manus Assessment",{"title":1797,"url":1798},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":1800,"url":1801},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[1804,1805,1806,1807,1808],"需要委托多步骤研究 \u002F 报告（带引用密度的 deep research）","数据分析（CSV \u002F Excel 重的任务）","需要","调研类工作（市场调研、竞品对比、文献综述）","对 Computer Use 类 Agent 实践有兴趣的人","通用 Agent 体感天花板，自主完成复杂多步骤任务",[819,820,1811,1812,1813,1814],"computer-use","multi-agent","butterfly-effect","monica","2026-06-24","通用 Agent 体感天花板代表。多 sub-agent 并行 + 自动模型路由让 research \u002F 数据分析输出明显比 ChatGPT Deep Research 引用密度更高。慢、credit 烧得快、Web App Builder 仍有 bug，但任务跑通时确实让人惊艳。","wcviURLmHN3k98k-_qnPkJ09CuZAWesyVH7TwM3COfM",{"id":1819,"title":1820,"alternatives":1821,"api_compatible":751,"body":1825,"category":746,"chinese_friendly":374,"cover":2482,"description":2483,"domestic":752,"extension":750,"faq":2484,"free":752,"github":2497,"languages":2498,"lastVerified":756,"meta":2500,"models":751,"navigation":752,"notSuitable":751,"opensource":752,"path":2501,"pillar":769,"platforms":2502,"priceTable":2504,"pricing":2508,"published":2509,"relatedPlaybooks":2510,"relatedReviews":2512,"score":2513,"self_host":752,"seo":2514,"seoTitle":2515,"slug":13,"sources":2516,"stem":2525,"suitable":751,"tagline":2526,"tags":2527,"updated":1815,"verdict":2532,"website":2444,"__hash__":2533},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[1822,1823,1824],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":20,"value":1826,"toc":2470},[1827,1829,1836,1839,1841,1917,1919,1936,1940,1945,1971,1976,2002,2005,2138,2141,2147,2150,2322,2325,2385,2387,2413,2415,2435,2437,2467],[23,1828,841],{"id":840},[27,1830,1831,1832,1835],{},"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（",[329,1833,1834],{},"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。",[27,1837,1838],{},"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）。",[23,1840,235],{"id":235},[68,1842,1843,1851,1857,1863,1869,1875,1881,1887,1893,1899,1905,1911],{},[71,1844,1845,66,1848,1850],{},[31,1846,1847],{},"多 agent orchestration",[329,1849,1834],{}," 编排多个专门 agent 协作",[71,1852,1853,1856],{},[31,1854,1855],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[71,1858,1859,1862],{},[31,1860,1861],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[71,1864,1865,1868],{},[31,1866,1867],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[71,1870,1871,1874],{},[31,1872,1873],{},"OpenManus-RL","：强化学习微调分支",[71,1876,1877,1880],{},[31,1878,1879],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[71,1882,1883,1886],{},[31,1884,1885],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[71,1888,1889,1892],{},[31,1890,1891],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[71,1894,1895,1898],{},[31,1896,1897],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[71,1900,1901,1904],{},[31,1902,1903],{},"Web UI 监控","：实时看 AI thinking process",[71,1906,1907,1910],{},[31,1908,1909],{},"任务可视化","：步骤拆解 + 执行树",[71,1912,1913,1916],{},[31,1914,1915],{},"MIT 协议","：个人 + 商用全免费",[23,1918,476],{"id":476},[68,1920,1921,1927,1930,1933],{},[71,1922,1923,1926],{},[31,1924,1925],{},"Free \u002F OSS","：$0；MIT 协议",[71,1928,1929],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[71,1931,1932],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[71,1934,1935],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[23,1937,1939],{"id":1938},"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）",[27,1941,1942],{},[31,1943,1944],{},"亮点：",[68,1946,1947,1950,1953,1956,1959,1962,1965,1968],{},[71,1948,1949],{},"52k stars 印证社区认同度 + 活跃度",[71,1951,1952],{},"MetaGPT 团队背景保证架构质量",[71,1954,1955],{},"多 agent 协作场景比单 agent 实现稳得多",[71,1957,1958],{},"Playwright 浏览器自动化非常完整",[71,1960,1961],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[71,1963,1964],{},"DataAnalysis 内置 agent 模式开箱即用",[71,1966,1967],{},"中文支持自然（Qwen VL Plus 接入）",[71,1969,1970],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[27,1972,1973],{},[31,1974,1975],{},"踩坑：",[68,1977,1978,1981,1984,1987,1990,1993,1996,1999],{},[71,1979,1980],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[71,1982,1983],{},"文档滞后新功能 1-2 个月",[71,1985,1986],{},"无官方 GUI，监控 UI 在做但不完整",[71,1988,1989],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[71,1991,1992],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[71,1994,1995],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[71,1997,1998],{},"中文 prompt 效果依赖底层模型",[71,2000,2001],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[23,2003,2004],{"id":2004},"上手",[322,2006,2008],{"className":324,"code":2007,"language":326,"meta":327,"style":327},"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",[329,2009,2010,2019,2026,2052,2062,2072,2077,2083,2094,2100,2105,2111,2119,2124,2130],{"__ignoreMap":327},[332,2011,2012,2014,2016],{"class":334,"line":335},[332,2013,339],{"class":338},[332,2015,343],{"class":342},[332,2017,2018],{"class":342}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[332,2020,2021,2023],{"class":334,"line":349},[332,2022,353],{"class":352},[332,2024,2025],{"class":342}," OpenManus\n",[332,2027,2028,2031,2033,2036,2039,2043,2046,2049],{"class":334,"line":359},[332,2029,2030],{"class":338},"python3.12",[332,2032,399],{"class":352},[332,2034,2035],{"class":342}," venv",[332,2037,2038],{"class":342}," .venv",[332,2040,2042],{"class":2041},"sVt8B"," && ",[332,2044,2045],{"class":352},"source",[332,2047,2048],{"class":342}," .venv\u002Fbin\u002Factivate",[332,2050,2051],{"class":389},"  # 或 .venv\\Scripts\\activate\n",[332,2053,2054,2056,2058,2060],{"class":334,"line":374},[332,2055,362],{"class":338},[332,2057,365],{"class":342},[332,2059,368],{"class":352},[332,2061,371],{"class":342},[332,2063,2064,2067,2069],{"class":334,"line":386},[332,2065,2066],{"class":338},"playwright",[332,2068,365],{"class":342},[332,2070,2071],{"class":342}," chromium\n",[332,2073,2074],{"class":334,"line":393},[332,2075,2076],{"emptyLinePlaceholder":752},"\n",[332,2078,2080],{"class":334,"line":2079},7,[332,2081,2082],{"class":389},"# 配 LLM API\n",[332,2084,2086,2088,2091],{"class":334,"line":2085},8,[332,2087,377],{"class":338},[332,2089,2090],{"class":342}," config\u002Fconfig.example.toml",[332,2092,2093],{"class":342}," config\u002Fconfig.toml\n",[332,2095,2097],{"class":334,"line":2096},9,[332,2098,2099],{"class":389},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[332,2101,2103],{"class":334,"line":2102},10,[332,2104,2076],{"emptyLinePlaceholder":752},[332,2106,2108],{"class":334,"line":2107},11,[332,2109,2110],{"class":389},"# 单 agent 模式\n",[332,2112,2114,2116],{"class":334,"line":2113},12,[332,2115,396],{"class":338},[332,2117,2118],{"class":342}," main.py\n",[332,2120,2122],{"class":334,"line":2121},13,[332,2123,2076],{"emptyLinePlaceholder":752},[332,2125,2127],{"class":334,"line":2126},14,[332,2128,2129],{"class":389},"# 多 agent 模式\n",[332,2131,2133,2135],{"class":334,"line":2132},15,[332,2134,396],{"class":338},[332,2136,2137],{"class":342}," run_flow.py\n",[27,2139,2140],{},"试任务示例：",[322,2142,2145],{"className":2143,"code":2144,"language":1245},[1243],"> 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",[329,2146,2144],{"__ignoreMap":327},[23,2148,2149],{"id":2149},"对比",[141,2151,2152,2169],{},[144,2153,2154],{},[147,2155,2156,2158,2160,2163,2166],{},[150,2157,548],{},[150,2159,1820],{},[150,2161,2162],{},"LangChain",[150,2164,2165],{},"AutoGPT",[150,2167,2168],{},"CrewAI",[157,2170,2171,2188,2204,2217,2233,2246,2260,2274,2291,2305],{},[147,2172,2173,2176,2179,2182,2185],{},[162,2174,2175],{},"形态",[162,2177,2178],{},"现成 agent 实现",[162,2180,2181],{},"building blocks",[162,2183,2184],{},"早期通用 agent",[162,2186,2187],{},"多 agent 框架",[147,2189,2190,2193,2196,2199,2202],{},[162,2191,2192],{},"浏览器自动化",[162,2194,2195],{},"✅ Playwright",[162,2197,2198],{},"–",[162,2200,2201],{},"部分",[162,2203,2198],{},[147,2205,2206,2209,2211,2213,2215],{},[162,2207,2208],{},"MCP",[162,2210,175],{},[162,2212,2201],{},[162,2214,2198],{},[162,2216,2198],{},[147,2218,2219,2222,2225,2228,2230],{},[162,2220,2221],{},"多 agent",[162,2223,2224],{},"✅ orchestration",[162,2226,2227],{},"需自搭",[162,2229,568],{},[162,2231,2232],{},"✅ 旗舰",[147,2234,2235,2238,2240,2242,2244],{},[162,2236,2237],{},"DataAnalysis 内置",[162,2239,175],{},[162,2241,2198],{},[162,2243,2198],{},[162,2245,2198],{},[147,2247,2248,2251,2254,2256,2258],{},[162,2249,2250],{},"RL 微调",[162,2252,2253],{},"✅ OpenManus-RL",[162,2255,2198],{},[162,2257,2198],{},[162,2259,2198],{},[147,2261,2262,2265,2268,2270,2272],{},[162,2263,2264],{},"协议",[162,2266,2267],{},"MIT",[162,2269,2267],{},[162,2271,2267],{},[162,2273,2267],{},[147,2275,2276,2279,2282,2285,2288],{},[162,2277,2278],{},"Stars",[162,2280,2281],{},"52k+",[162,2283,2284],{},"100k+",[162,2286,2287],{},"170k+",[162,2289,2290],{},"30k+",[147,2292,2293,2295,2298,2301,2303],{},[162,2294,2004],{},[162,2296,2297],{},"中",[162,2299,2300],{},"难",[162,2302,2297],{},[162,2304,2297],{},[147,2306,2307,2310,2313,2316,2319],{},[162,2308,2309],{},"适合",[162,2311,2312],{},"自托管 Manus 复刻",[162,2314,2315],{},"底层 framework",[162,2317,2318],{},"学习经典",[162,2320,2321],{},"多 agent 协作",[23,2323,2324],{"id":2324},"避坑",[68,2326,2327,2333,2343,2349,2355,2361,2367,2373,2379],{},[71,2328,2329,2332],{},[31,2330,2331],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[71,2334,2335,2338,2339,2342],{},[31,2336,2337],{},"Playwright 依赖大","：首次 ",[329,2340,2341],{},"playwright install"," 下 chromium 慢，国内走镜像",[71,2344,2345,2348],{},[31,2346,2347],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[71,2350,2351,2354],{},[31,2352,2353],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[71,2356,2357,2360],{},[31,2358,2359],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[71,2362,2363,2366],{},[31,2364,2365],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[71,2368,2369,2372],{},[31,2370,2371],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[71,2374,2375,2378],{},[31,2376,2377],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[71,2380,2381,2384],{},[31,2382,2383],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[23,2386,1598],{"id":1597},[68,2388,2389,2392,2395,2398,2401,2404,2407,2410],{},[71,2390,2391],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[71,2393,2394],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[71,2396,2397],{},"✅ 隐私敏感 + 不愿数据上商业云",[71,2399,2400],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[71,2402,2403],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[71,2405,2406],{},"❌ 要 GUI \u002F 上手即用",[71,2408,2409],{},"❌ 生产级稳定（文档滞后 + 演进快）",[71,2411,2412],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[23,2414,686],{"id":686},[68,2416,2417,2423,2429],{},[71,2418,2419],{},[692,2420,2422],{"href":2421},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[71,2424,2425],{},[692,2426,2428],{"href":2427},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[71,2430,2431],{},[692,2432,2434],{"href":2433},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[23,2436,1697],{"id":1697},[428,2438,2439,2446,2453,2460],{},[71,2440,2441,2442],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[692,2443,2444],{"href":2444,"rel":2445},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[863],[71,2447,2448,2449],{},"Foundation Agents — OpenManus 项目介绍 ",[692,2450,2451],{"href":2451,"rel":2452},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[863],[71,2454,2455,2456],{},"Toolsverse — OpenManus 评测 + 52k stars ",[692,2457,2458],{"href":2458,"rel":2459},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[863],[71,2461,2462,2463],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[692,2464,2465],{"href":2465,"rel":2466},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[863],[721,2468,2469],{},"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":327,"searchDepth":359,"depth":359,"links":2471},[2472,2473,2474,2475,2476,2477,2478,2479,2480,2481],{"id":840,"depth":349,"text":841},{"id":235,"depth":349,"text":235},{"id":476,"depth":349,"text":476},{"id":1938,"depth":349,"text":1939},{"id":2004,"depth":349,"text":2004},{"id":2149,"depth":349,"text":2149},{"id":2324,"depth":349,"text":2324},{"id":1597,"depth":349,"text":1598},{"id":686,"depth":349,"text":686},{"id":1697,"depth":349,"text":1697},"\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。",[2485,2488,2491,2494],{"q":2486,"a":2487},"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":2489,"a":2490},"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":2492,"a":2493},"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":2495,"a":2496},"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",[755,1746,2499],"multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[771,772,773,2503],"docker",[2505],{"plan":1925,"price":777,"features":2506,"notes":2507},"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）","2026-06-19",[2511],"onboarding\u002Fopen-source-general-agent",[790,1782],{"power":386,"ux":359,"price":386,"cn_support":374,"stability":359},{"title":1820,"description":2483},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[2517,2519,2521,2523],{"name":2518,"url":2444,"accessed":1815},"OpenManus GitHub（FoundationAgents 组织）",{"name":2520,"url":2451,"accessed":1815},"Foundation Agents — OpenManus 项目介绍",{"name":2522,"url":2458,"accessed":1815},"Toolsverse — OpenManus 评测 + 52k stars",{"name":2524,"url":2465,"accessed":1815},"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",[821,1812,2528,2529,2530,2531],"browser-automation","mcp","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":2535,"title":556,"alternatives":2536,"api_compatible":751,"body":2540,"category":3228,"chinese_friendly":374,"cover":3229,"description":3230,"domestic":749,"extension":750,"faq":3231,"free":752,"github":3244,"languages":3245,"lastVerified":756,"meta":3246,"models":751,"navigation":752,"notSuitable":751,"opensource":752,"path":3247,"pillar":769,"platforms":3248,"priceTable":3250,"pricing":3254,"published":2509,"relatedPlaybooks":3255,"relatedReviews":751,"score":3257,"self_host":752,"seo":3258,"seoTitle":3259,"slug":14,"sources":3260,"stem":3269,"suitable":751,"tagline":3270,"tags":3271,"updated":1815,"verdict":3276,"website":3277,"__hash__":3278},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[2537,2538,2539],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fdesktop\u002Fautoglm","agent\u002Fdesktop\u002Fcrush",{"type":20,"value":2541,"toc":3216},[2542,2544,2547,2550,2552,2619,2621,2635,2639,2643,2666,2670,2696,2698,2857,2860,2892,2894,3067,3069,3131,3133,3159,3161,3181,3183,3213],[23,2543,841],{"id":840},[27,2545,2546],{},"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。",[27,2548,2549],{},"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。",[23,2551,235],{"id":235},[68,2553,2554,2560,2566,2572,2578,2584,2590,2596,2601,2607,2613],{},[71,2555,2556,2559],{},[31,2557,2558],{},"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",[71,2561,2562,2565],{},[31,2563,2564],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[71,2567,2568,2571],{},[31,2569,2570],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[71,2573,2574,2577],{},[31,2575,2576],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[71,2579,2580,2583],{},[31,2581,2582],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[71,2585,2586,2589],{},[31,2587,2588],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[71,2591,2592,2595],{},[31,2593,2594],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[71,2597,2598,2600],{},[31,2599,1891],{},"：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[71,2602,2603,2606],{},[31,2604,2605],{},"MCP 兼容","：可调用 MCP server",[71,2608,2609,2612],{},[31,2610,2611],{},"Web Control UI","：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[71,2614,2615,2618],{},[31,2616,2617],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[23,2620,476],{"id":476},[68,2622,2623,2629,2632],{},[71,2624,2625,2628],{},[31,2626,2627],{},"Self-host OSS","：$0；MIT 完全开放",[71,2630,2631],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[71,2633,2634],{},"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",[23,2636,2638],{"id":2637},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[27,2640,2641],{},[31,2642,1944],{},[68,2644,2645,2648,2651,2654,2657,2660,2663],{},[71,2646,2647],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[71,2649,2650],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[71,2652,2653],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[71,2655,2656],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[71,2658,2659],{},"本地 Ollama 路径让数据 + 隐私完全自主",[71,2661,2662],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[71,2664,2665],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[27,2667,2668],{},[31,2669,1975],{},[68,2671,2672,2675,2678,2681,2684,2687,2690,2693],{},[71,2673,2674],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[71,2676,2677],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[71,2679,2680],{},"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",[71,2682,2683],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[71,2685,2686],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[71,2688,2689],{},"Web Control UI 在大量 session 下渲染偏慢",[71,2691,2692],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[71,2694,2695],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[23,2697,2004],{"id":2004},[322,2699,2701],{"className":324,"code":2700,"language":326,"meta":327,"style":327},"# 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",[329,2702,2703,2708,2721,2729,2733,2738,2757,2767,2772,2776,2781,2790,2811,2815,2820,2827,2832,2838,2846],{"__ignoreMap":327},[332,2704,2705],{"class":334,"line":335},[332,2706,2707],{"class":389},"# 方法一：NPM\n",[332,2709,2710,2713,2715,2718],{"class":334,"line":349},[332,2711,2712],{"class":338},"npm",[332,2714,365],{"class":342},[332,2716,2717],{"class":352}," -g",[332,2719,2720],{"class":342}," openclaw\n",[332,2722,2723,2726],{"class":334,"line":359},[332,2724,2725],{"class":338},"openclaw",[332,2727,2728],{"class":352}," --version\n",[332,2730,2731],{"class":334,"line":374},[332,2732,2076],{"emptyLinePlaceholder":752},[332,2734,2735],{"class":334,"line":386},[332,2736,2737],{"class":389},"# 方法二：Docker\n",[332,2739,2740,2742,2745,2748,2751,2754],{"class":334,"line":393},[332,2741,2503],{"class":338},[332,2743,2744],{"class":342}," run",[332,2746,2747],{"class":352}," -d",[332,2749,2750],{"class":352}," --name",[332,2752,2753],{"class":342}," openclaw",[332,2755,2756],{"class":352}," \\\n",[332,2758,2759,2762,2765],{"class":334,"line":2079},[332,2760,2761],{"class":352},"  -v",[332,2763,2764],{"class":342}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[332,2766,2756],{"class":352},[332,2768,2769],{"class":334,"line":2085},[332,2770,2771],{"class":342},"  openclaw\u002Fopenclaw:latest\n",[332,2773,2774],{"class":334,"line":2096},[332,2775,2076],{"emptyLinePlaceholder":752},[332,2777,2778],{"class":334,"line":2102},[332,2779,2780],{"class":389},"# 方法三：源码\n",[332,2782,2783,2785,2787],{"class":334,"line":2107},[332,2784,339],{"class":338},[332,2786,343],{"class":342},[332,2788,2789],{"class":342}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[332,2791,2792,2794,2796,2798,2800,2802,2804,2806,2808],{"class":334,"line":2113},[332,2793,353],{"class":352},[332,2795,2753],{"class":342},[332,2797,2042],{"class":2041},[332,2799,2712],{"class":338},[332,2801,365],{"class":342},[332,2803,2042],{"class":2041},[332,2805,2712],{"class":338},[332,2807,2744],{"class":342},[332,2809,2810],{"class":342}," start\n",[332,2812,2813],{"class":334,"line":2121},[332,2814,2076],{"emptyLinePlaceholder":752},[332,2816,2817],{"class":334,"line":2126},[332,2818,2819],{"class":389},"# 引导配置（model \u002F channel \u002F 权限）\n",[332,2821,2822,2824],{"class":334,"line":2132},[332,2823,2725],{"class":338},[332,2825,2826],{"class":342}," onboard\n",[332,2828,2830],{"class":334,"line":2829},16,[332,2831,2076],{"emptyLinePlaceholder":752},[332,2833,2835],{"class":334,"line":2834},17,[332,2836,2837],{"class":389},"# 启动\n",[332,2839,2841,2843],{"class":334,"line":2840},18,[332,2842,2725],{"class":338},[332,2844,2845],{"class":389},"                 # CLI\n",[332,2847,2849,2851,2854],{"class":334,"line":2848},19,[332,2850,2725],{"class":338},[332,2852,2853],{"class":342}," dashboard",[332,2855,2856],{"class":389},"       # Web UI\n",[27,2858,2859],{},"配本地免费 Ollama：",[322,2861,2863],{"className":324,"code":2862,"language":326,"meta":327,"style":327},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[329,2864,2865,2876],{"__ignoreMap":327},[332,2866,2867,2870,2873],{"class":334,"line":335},[332,2868,2869],{"class":338},"ollama",[332,2871,2872],{"class":342}," pull",[332,2874,2875],{"class":342}," llama3\n",[332,2877,2878,2880,2883,2886,2889],{"class":334,"line":349},[332,2879,2725],{"class":338},[332,2881,2882],{"class":342}," config",[332,2884,2885],{"class":342}," set",[332,2887,2888],{"class":342}," ai.provider",[332,2890,2891],{"class":342}," \"ollama\"\n",[23,2893,2149],{"id":2149},[141,2895,2896,2913],{},[144,2897,2898],{},[147,2899,2900,2902,2904,2907,2910],{},[150,2901,548],{},[150,2903,556],{},[150,2905,2906],{},"Claude Desktop",[150,2908,2909],{},"AutoGLM",[150,2911,2912],{},"Crush",[157,2914,2915,2931,2945,2959,2975,2989,3005,3020,3036,3051],{},[147,2916,2917,2919,2922,2925,2928],{},[162,2918,2175],{},[162,2920,2921],{},"IM 网关 + 多 Agent 自治",[162,2923,2924],{},"桌面客户端 + MCP",[162,2926,2927],{},"Phone\u002FWeb GUI agent",[162,2929,2930],{},"终端 TUI agent",[147,2932,2933,2936,2939,2941,2943],{},[162,2934,2935],{},"7×24 Heartbeat",[162,2937,2938],{},"✅ 30 分钟",[162,2940,2198],{},[162,2942,2198],{},[162,2944,2198],{},[147,2946,2947,2950,2953,2955,2957],{},[162,2948,2949],{},"多 IM 渠道",[162,2951,2952],{},"✅ 20+",[162,2954,2198],{},[162,2956,2198],{},[162,2958,2198],{},[147,2960,2961,2964,2967,2970,2972],{},[162,2962,2963],{},"Skills 市场",[162,2965,2966],{},"✅ ClawHub 5400+",[162,2968,2969],{},"✅ MCP Connectors",[162,2971,2198],{},[162,2973,2974],{},"✅ Agent Skills 标准",[147,2976,2977,2979,2981,2984,2986],{},[162,2978,2570],{},[162,2980,175],{},[162,2982,2983],{},"Projects",[162,2985,2198],{},[162,2987,2988],{},"session",[147,2990,2991,2993,2996,2999,3002],{},[162,2992,563],{},[162,2994,2995],{},"✅ MIT",[162,2997,2998],{},"闭源",[162,3000,3001],{},"✅ MIT 模型 + Apache 代码",[162,3003,3004],{},"FSL-1.1-MIT",[147,3006,3007,3010,3013,3015,3018],{},[162,3008,3009],{},"本地 LLM",[162,3011,3012],{},"✅ Ollama 友好",[162,3014,2198],{},[162,3016,3017],{},"✅ 9B 自模型",[162,3019,175],{},[147,3021,3022,3025,3028,3031,3033],{},[162,3023,3024],{},"中国大陆友好",[162,3026,3027],{},"✅ 完全",[162,3029,3030],{},"❌ 支付",[162,3032,175],{},[162,3034,3035],{},"✅ 部分",[147,3037,3038,3041,3043,3046,3048],{},[162,3039,3040],{},"起价",[162,3042,777],{},[162,3044,3045],{},"$20\u002F月 +",[162,3047,777],{},[162,3049,3050],{},"$0 + API",[147,3052,3053,3055,3058,3061,3064],{},[162,3054,2309],{},[162,3056,3057],{},"7×24 IM 触发个人 agent",[162,3059,3060],{},"MCP 生态桌面",[162,3062,3063],{},"Phone GUI",[162,3065,3066],{},"终端 power user",[23,3068,2324],{"id":2324},[68,3070,3071,3077,3083,3089,3095,3101,3107,3113,3119,3125],{},[71,3072,3073,3076],{},[31,3074,3075],{},"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",[71,3078,3079,3082],{},[31,3080,3081],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[71,3084,3085,3088],{},[31,3086,3087],{},"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",[71,3090,3091,3094],{},[31,3092,3093],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[71,3096,3097,3100],{},[31,3098,3099],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[71,3102,3103,3106],{},[31,3104,3105],{},"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",[71,3108,3109,3112],{},[31,3110,3111],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[71,3114,3115,3118],{},[31,3116,3117],{},"Windows 走 WSL2","：原生 Windows 兼容差",[71,3120,3121,3124],{},[31,3122,3123],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[71,3126,3127,3130],{},[31,3128,3129],{},"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",[23,3132,1598],{"id":1597},[68,3134,3135,3138,3141,3144,3147,3150,3153,3156],{},[71,3136,3137],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[71,3139,3140],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[71,3142,3143],{},"✅ 数据隐私敏感 + 自托管刚需",[71,3145,3146],{},"✅ 中国大陆用户走本地 Ollama 全免费",[71,3148,3149],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[71,3151,3152],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[71,3154,3155],{},"❌ 要一键就跑的非技术用户",[71,3157,3158],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[23,3160,686],{"id":686},[68,3162,3163,3169,3175],{},[71,3164,3165],{},[692,3166,3168],{"href":3167},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[71,3170,3171],{},[692,3172,3174],{"href":3173},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm","AutoGLM 评测",[71,3176,3177],{},[692,3178,3180],{"href":3179},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush","Crush 评测",[23,3182,1697],{"id":1697},[428,3184,3185,3192,3199,3206],{},[71,3186,3187,3188],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[692,3189,3190],{"href":3190,"rel":3191},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[863],[71,3193,3194,3195],{},"技术栈 — OpenClaw 2026 实战指南 ",[692,3196,3197],{"href":3197,"rel":3198},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[863],[71,3200,3201,3202],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[692,3203,3204],{"href":3204,"rel":3205},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[863],[71,3207,3208,3209],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[692,3210,3211],{"href":3211,"rel":3212},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[863],[721,3214,3215],{},"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: 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\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。",[3232,3235,3238,3241],{"q":3233,"a":3234},"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":3236,"a":3237},"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":3239,"a":3240},"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":3242,"a":3243},"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。","https:\u002F\u002Fgithub.com\u002Fopenclaw-ai\u002Fopenclaw",[755,1746,2499],{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",[772,771,3249,2503],"windows-wsl",[3251],{"plan":2627,"price":777,"features":3252,"notes":3253},"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）",[3256],"onboarding\u002Fpersonal-247-ai-agent",{"power":386,"ux":374,"price":386,"cn_support":374,"stability":374},{"title":556,"description":3230},"OpenClaw - 开源个人 AI Agent 评测与指南 | AIHO",[3261,3263,3265,3267],{"name":3262,"url":3190,"accessed":1815},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 多渠道）",{"name":3264,"url":3197,"accessed":1815},"技术栈 — OpenClaw 2026 实战指南",{"name":3266,"url":3204,"accessed":1815},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat）",{"name":3268,"url":3211,"accessed":1815},"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",[821,3272,3273,2529,1812,3274,3275,2725],"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",1785660639064]