[{"data":1,"prerenderedAt":1523},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-n8n-vs-openmanus":9,"compare-a-n8n":10,"compare-b-openmanus":819},{"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":745,"chinese_friendly":253,"cover":746,"description":747,"domestic":748,"extension":749,"faq":750,"free":748,"github":9,"languages":763,"lastVerified":9,"meta":766,"models":9,"navigation":256,"notSuitable":9,"opensource":256,"path":767,"pillar":768,"platforms":769,"priceTable":773,"pricing":791,"published":792,"relatedPlaybooks":793,"relatedReviews":9,"score":795,"self_host":256,"seo":796,"seoTitle":797,"slug":798,"sources":799,"stem":809,"suitable":9,"tagline":810,"tags":811,"updated":802,"verdict":817,"website":705,"__hash__":818},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md","n8n",[14,15,16],"agent\u002Fplatform\u002Flangflow","agent\u002Fprotocol\u002Fcomposio","agent\u002Fgeneral\u002Fopenmanus",{"type":18,"value":19,"toc":733},"minimark",[20,25,29,32,35,112,115,141,147,151,156,182,187,213,217,374,377,405,408,411,576,579,640,644,670,673,694,697,729],[21,22,24],"h2",{"id":23},"tldr","TL;DR",[26,27,28],"p",{},"n8n 是 2019 创立、Sustainable Use License（fair-code）的开源自动化平台。2026 突破 200,000 active users、5x ARR 增长、5,800+ 社区 AI workflow。差异点：近 70 个 LangChain 专属节点 + 原生 MCP 协议 + AI Agent 节点（reasoning loop + 工具调用）+ Ollama \u002F OpenAI 双路 + 400+ 集成 + execution-based 定价（步骤数无关）+ 自托管 VPS $5-10\u002F月跑全套。",[26,30,31],{},"适合：开发者 + 想完全控制 + 高量级自动化；从 Zapier \u002F Make 迁出降本；要 AI Agent + LangChain + MCP 一体；合规 \u002F 自托管 \u002F 数据驻留要求。不适合：非技术 + 要 8000+ 现成集成（用 Zapier）；中等复杂 + 不愿自托管（用 Make）；纯研究 \u002F 学术 agent（用 OpenManus \u002F Langflow）。",[21,33,34],{"id":34},"核心能力",[36,37,38,46,52,58,64,70,76,82,88,94,100,106],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"AI Agent 节点","：reasoning loop + 自主工具选择",[39,47,48,51],{},[42,49,50],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[39,53,54,57],{},[42,55,56],{},"原生 MCP","：MCP server 一键挂载到 agent",[39,59,60,63],{},[42,61,62],{},"Ollama 集成","：本地 LLM 零 API 成本",[39,65,66,69],{},[42,67,68],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[39,71,72,75],{},[42,73,74],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[39,77,78,81],{},[42,79,80],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[39,83,84,87],{},[42,85,86],{},"多分支并行 + 错误处理","：production workflow 必备",[39,89,90,93],{},[42,91,92],{},"版本控制 + Git Sync","：workflow as code",[39,95,96,99],{},[42,97,98],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[39,101,102,105],{},[42,103,104],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[39,107,108,111],{},[42,109,110],{},"5800+ 社区 workflow","：clone 即用",[21,113,114],{"id":114},"价格",[36,116,117,123,129,135],{},[39,118,119,122],{},[42,120,121],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[39,124,125,128],{},[42,126,127],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[39,130,131,134],{},[42,132,133],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[39,136,137,140],{},[42,138,139],{},"Enterprise","：联系销售；SSO + LDAP + 私有部署 + SLA",[142,143,144],"blockquote",{},[26,145,146],{},"真实场景：Zapier $50\u002F月跑中等复杂 → n8n 自托管 $5\u002F月跑同样的 = 10x 降本。",[21,148,150],{"id":149},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[26,152,153],{},[42,154,155],{},"亮点：",[36,157,158,161,164,167,170,173,176,179],{},[39,159,160],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[39,162,163],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[39,165,166],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[39,168,169],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[39,171,172],{},"5800+ 社区 workflow 节省 80% 上手时间",[39,174,175],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[39,177,178],{},"升级 Docker tag 一行，无 vendor 升级费",[39,180,181],{},"中文社区 \u002F B 站教程丰富",[26,183,184],{},[42,185,186],{},"踩坑：",[36,188,189,192,195,198,201,204,207,210],{},[39,190,191],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[39,193,194],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[39,196,197],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[39,199,200],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[39,202,203],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[39,205,206],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[39,208,209],{},"Webhook 公网暴露要加 IP 白名单 + secret",[39,211,212],{},"Worker 模式才能并发，单进程吞吐有限",[21,214,216],{"id":215},"上手docker-5-分钟","上手（Docker 5 分钟）",[218,219,224],"pre",{"className":220,"code":221,"language":222,"meta":223,"style":223},"language-bash shiki shiki-themes github-light github-dark","# 持久化目录\nmkdir -p ~\u002Fn8n-data\n\n# 启动\ndocker run -d \\\n  --name n8n \\\n  -p 5678:5678 \\\n  -e N8N_BASIC_AUTH_ACTIVE=true \\\n  -e N8N_BASIC_AUTH_USER=admin \\\n  -e N8N_BASIC_AUTH_PASSWORD=yourpassword \\\n  -v ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n \\\n  --restart always \\\n  n8nio\u002Fn8n\n\n# http:\u002F\u002Flocalhost:5678\n","bash","",[225,226,227,236,251,258,264,279,290,301,315,325,335,346,357,363,368],"code",{"__ignoreMap":223},[228,229,232],"span",{"class":230,"line":231},"line",1,[228,233,235],{"class":234},"sJ8bj","# 持久化目录\n",[228,237,239,243,247],{"class":230,"line":238},2,[228,240,242],{"class":241},"sScJk","mkdir",[228,244,246],{"class":245},"sj4cs"," -p",[228,248,250],{"class":249},"sZZnC"," ~\u002Fn8n-data\n",[228,252,254],{"class":230,"line":253},3,[228,255,257],{"emptyLinePlaceholder":256},true,"\n",[228,259,261],{"class":230,"line":260},4,[228,262,263],{"class":234},"# 启动\n",[228,265,267,270,273,276],{"class":230,"line":266},5,[228,268,269],{"class":241},"docker",[228,271,272],{"class":249}," run",[228,274,275],{"class":245}," -d",[228,277,278],{"class":245}," \\\n",[228,280,282,285,288],{"class":230,"line":281},6,[228,283,284],{"class":245},"  --name",[228,286,287],{"class":249}," n8n",[228,289,278],{"class":245},[228,291,293,296,299],{"class":230,"line":292},7,[228,294,295],{"class":245},"  -p",[228,297,298],{"class":249}," 5678:5678",[228,300,278],{"class":245},[228,302,304,307,310,313],{"class":230,"line":303},8,[228,305,306],{"class":245},"  -e",[228,308,309],{"class":249}," N8N_BASIC_AUTH_ACTIVE=",[228,311,312],{"class":245},"true",[228,314,278],{"class":245},[228,316,318,320,323],{"class":230,"line":317},9,[228,319,306],{"class":245},[228,321,322],{"class":249}," N8N_BASIC_AUTH_USER=admin",[228,324,278],{"class":245},[228,326,328,330,333],{"class":230,"line":327},10,[228,329,306],{"class":245},[228,331,332],{"class":249}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[228,334,278],{"class":245},[228,336,338,341,344],{"class":230,"line":337},11,[228,339,340],{"class":245},"  -v",[228,342,343],{"class":249}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[228,345,278],{"class":245},[228,347,349,352,355],{"class":230,"line":348},12,[228,350,351],{"class":245},"  --restart",[228,353,354],{"class":249}," always",[228,356,278],{"class":245},[228,358,360],{"class":230,"line":359},13,[228,361,362],{"class":249},"  n8nio\u002Fn8n\n",[228,364,366],{"class":230,"line":365},14,[228,367,257],{"emptyLinePlaceholder":256},[228,369,371],{"class":230,"line":370},15,[228,372,373],{"class":234},"# http:\u002F\u002Flocalhost:5678\n",[26,375,376],{},"连 Ollama：",[218,378,380],{"className":220,"code":379,"language":222,"meta":223,"style":223},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[225,381,382,390,400],{"__ignoreMap":223},[228,383,384,387],{"class":230,"line":231},[228,385,386],{"class":241},"ollama",[228,388,389],{"class":249}," serve\n",[228,391,392,394,397],{"class":230,"line":238},[228,393,386],{"class":241},[228,395,396],{"class":249}," pull",[228,398,399],{"class":249}," llama3.2\n",[228,401,402],{"class":230,"line":253},[228,403,404],{"class":234},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[26,406,407],{},"试 workflow：Webhook 触发 → AI Agent 节点（Ollama）→ Slack 通知。复制粘贴一个社区 workflow 30 分钟跑通完整 AI 自动化。",[21,409,410],{"id":410},"对比",[412,413,414,435],"table",{},[415,416,417],"thead",{},[418,419,420,424,426,429,432],"tr",{},[421,422,423],"th",{},"维度",[421,425,12],{},[421,427,428],{},"Zapier",[421,430,431],{},"Make",[421,433,434],{},"Langflow",[436,437,438,455,470,487,501,516,529,543,559],"tbody",{},[418,439,440,444,447,450,452],{},[441,442,443],"td",{},"开源",[441,445,446],{},"✅ fair-code",[441,448,449],{},"❌",[441,451,449],{},[441,453,454],{},"✅ MIT",[418,456,457,460,463,465,467],{},[441,458,459],{},"自托管",[441,461,462],{},"✅ 旗舰",[441,464,449],{},[441,466,449],{},[441,468,469],{},"✅",[418,471,472,475,478,481,484],{},[441,473,474],{},"集成数",[441,476,477],{},"400+",[441,479,480],{},"8000+",[441,482,483],{},"2000+",[441,485,486],{},"LangChain 原语",[418,488,489,492,494,497,499],{},[441,490,491],{},"AI Agent",[441,493,462],{},[441,495,496],{},"部分",[441,498,496],{},[441,500,469],{},[418,502,503,506,509,511,513],{},[441,504,505],{},"LangChain 节点",[441,507,508],{},"✅ 70 个",[441,510,449],{},[441,512,449],{},[441,514,515],{},"✅ 原生",[418,517,518,521,523,525,527],{},[441,519,520],{},"MCP",[441,522,515],{},[441,524,449],{},[441,526,449],{},[441,528,496],{},[418,530,531,534,537,539,541],{},[441,532,533],{},"Local LLM",[441,535,536],{},"✅ Ollama",[441,538,449],{},[441,540,449],{},[441,542,469],{},[418,544,545,548,551,554,557],{},[441,546,547],{},"起价",[441,549,550],{},"$0 自托管",[441,552,553],{},"$29.99\u002F月",[441,555,556],{},"$9\u002F月",[441,558,550],{},[418,560,561,564,567,570,573],{},[441,562,563],{},"适合",[441,565,566],{},"开发者 + 高量级",[441,568,569],{},"非技术 + 简单",[441,571,572],{},"中等复杂",[441,574,575],{},"LangChain 工程",[21,577,578],{"id":578},"避坑",[36,580,581,587,593,599,605,611,617,623,629,634],{},[39,582,583,586],{},[42,584,585],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[39,588,589,592],{},[42,590,591],{},"Worker 模式","：高并发要起 worker container 才能并行",[39,594,595,598],{},[42,596,597],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[39,600,601,604],{},[42,602,603],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[39,606,607,610],{},[42,608,609],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[39,612,613,616],{},[42,614,615],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[39,618,619,622],{},[42,620,621],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[39,624,625,628],{},[42,626,627],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[39,630,631,633],{},[42,632,110],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[39,635,636,639],{},[42,637,638],{},"monitoring","：生产部署加 prometheus + 错误告警",[21,641,643],{"id":642},"适合-不适合","适合 \u002F 不适合",[36,645,646,649,652,655,658,661,664,667],{},[39,647,648],{},"✅ 开发者 + 完全控制 + 高量级自动化",[39,650,651],{},"✅ 从 Zapier \u002F Make 迁出降本",[39,653,654],{},"✅ AI Agent + LangChain + MCP 一体",[39,656,657],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[39,659,660],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[39,662,663],{},"❌ 完全不愿自托管 + 不想付 Cloud",[39,665,666],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[39,668,669],{},"❌ 极简 2-step 自动化（Zapier 更快）",[21,671,672],{"id":672},"相关阅读",[36,674,675,682,688],{},[39,676,677],{},[678,679,681],"a",{"href":680},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[39,683,684],{},[678,685,687],{"href":686},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[39,689,690],{},[678,691,693],{"href":692},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus","OpenManus 评测",[21,695,696],{"id":696},"来源",[698,699,700,708,715,722],"ol",{},[39,701,702,703],{},"n8n 官网 ",[678,704,705],{"href":705,"rel":706},"https:\u002F\u002Fn8n.io",[707],"nofollow",[39,709,710,711],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[678,712,713],{"href":713,"rel":714},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[707],[39,716,717,718],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[678,719,720],{"href":720,"rel":721},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[707],[39,723,724,725],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[678,726,727],{"href":727,"rel":728},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[707],[730,731,732],"style",{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: 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var(--shiki-dark-text-decoration);}",{"title":223,"searchDepth":253,"depth":253,"links":734},[735,736,737,738,739,740,741,742,743,744],{"id":23,"depth":238,"text":24},{"id":34,"depth":238,"text":34},{"id":114,"depth":238,"text":114},{"id":149,"depth":238,"text":150},{"id":215,"depth":238,"text":216},{"id":410,"depth":238,"text":410},{"id":578,"depth":238,"text":578},{"id":642,"depth":238,"text":643},{"id":672,"depth":238,"text":672},{"id":696,"depth":238,"text":696},"platform","\u002Fimg\u002Ftools\u002Fn8n.webp","n8n 2026 真实评测：开源自托管自动化平台和 AI Agent 工作流工具，支持 LangChain 节点、MCP、Ollama、OpenAI、Webhook、400+ 集成和 execution-based 定价。本文对比 Zapier、Make、Dify，整理自托管成本、适合场景和避坑建议。",false,"md",[751,754,757,760],{"q":752,"a":753},"n8n 和 Zapier \u002F Make 怎么选？","Zapier 8000+ 集成 + 最易上手 + 非技术团队最爱，但 $29.99\u002F月才 750 tasks + 每步独立计费 = 量大成本爆炸。Make 视觉画布 + 并行分支 + 2000+ 集成 + 智能打包步骤（10k ops $29\u002F月），中等复杂最佳性价比。n8n 开源 + 自托管 + execution-based（步骤数无关）+ 70 LangChain 节点 + MCP 原生，开发者 + 高量级 + 完全控制首选。模式：从 Zapier \u002F Make 起步 → 撞墙 → 迁 n8n。",{"q":755,"a":756},"AI Agent 节点是什么？","n8n 2026 加的特殊节点：运行 reasoning loop，从连接的工具节点中自主挑选并调用，直到有答案。和传统线性节点的『按顺序执行预定动作』不同，AI Agent 引入了 LLM 决策。可挂接近 70 LangChain 节点 \u002F MCP server \u002F 任意 HTTP API。让 n8n 从『纯自动化』升级为『真正的 AI agent 平台』。",{"q":758,"a":759},"Sustainable Use License 是什么协议？","n8n 用的 fair-code 协议（非传统 OSI 开源）。允许内部使用 + 自托管 + 修改源码，但限制把 n8n 作为 SaaS 转售（与 n8n 商业版直接竞争）。对自用 \u002F 内部工具 \u002F 普通自托管 100% 免费。要做 n8n competitor \u002F 商业 SaaS 才需要谈授权。",{"q":761,"a":762},"自托管成本和门槛？","最小：$5-10\u002F月 VPS（DigitalOcean \u002F Hetzner \u002F Linode）+ Docker 一行起。Postgres 持久化 + Redis 队列（高吞吐）+ Worker 节点（水平扩展）。10 分钟内能跑通最小版本。中文社区 \u002F B 站 \u002F 知乎 有大量中文教程。比 Langflow \u002F Dify 上手快。",[764,765],"en","multi",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","agent",[770,771,269,772],"self-host","cloud","web",[774,779,783,787],{"plan":775,"price":776,"features":777,"notes":778},"Community (Self-host)","$0","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":127,"price":780,"features":781,"notes":782},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":133,"price":784,"features":785,"notes":786},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":139,"price":788,"features":789,"notes":790},"联系销售","SSO + audit + LDAP + 私有部署 + SLA","大客户","Self-host 免费 \u002F Cloud Starter ~€20·月 (2.5k executions) \u002F Pro \u002F Business \u002F Enterprise 阶梯","2026-06-19",[794],"onboarding\u002Fn8n-ollama-automation",{"power":266,"ux":260,"price":266,"cn_support":253,"stability":266},{"title":12,"description":747},"n8n 评测 2026：开源自托管自动化平台，AI Agent 工作流首选","agent\u002Fplatform\u002Fn8n",[800,803,805,807],{"name":801,"url":705,"accessed":802},"n8n 官网","2026-06-24",{"name":804,"url":713,"accessed":802},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":806,"url":720,"accessed":802},"Tutorials Technology — n8n + AI on Linux 2026",{"name":808,"url":727,"accessed":802},"Northflank — n8n Self-host Pricing 2026","tools\u002Fagent\u002Fplatform\u002Fn8n","自托管自动化平台：200k+ 用户 + 70 LangChain 节点 + MCP 原生 + Ollama 集成",[812,813,814,815,816,770,12],"opensource","workflow","automation","langchain","mcp","Zapier \u002F Make 的开源替代——20 步工作流和 2 步成本一样（自托管）。AI Agent + LangChain 节点让它在 2026 成为开发者首选自动化平台。要 8000+ 现成集成 + 极简上手用 Zapier；要中等复杂 + 不自托管用 Make。","Y5uedkjOvG7WLZTjkH2_rw8c5QipFprpPc7QrzBLivw",{"id":820,"title":821,"alternatives":822,"api_compatible":9,"body":823,"category":1470,"chinese_friendly":260,"cover":1471,"description":1472,"domestic":748,"extension":749,"faq":1473,"free":748,"github":9,"languages":1486,"lastVerified":9,"meta":1488,"models":9,"navigation":256,"notSuitable":9,"opensource":256,"path":692,"pillar":768,"platforms":1489,"priceTable":1493,"pricing":1497,"published":792,"relatedPlaybooks":1498,"relatedReviews":1500,"score":1503,"self_host":256,"seo":1504,"seoTitle":9,"slug":16,"sources":1505,"stem":1514,"suitable":9,"tagline":1515,"tags":1516,"updated":802,"verdict":1521,"website":1432,"__hash__":1522},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[14,798,15],{"type":18,"value":824,"toc":1458},[825,827,834,837,839,916,918,935,939,943,969,973,999,1002,1135,1138,1146,1148,1316,1318,1378,1380,1406,1408,1423,1425,1455],[21,826,24],{"id":23},[26,828,829,830,833],{},"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（",[225,831,832],{},"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。",[26,835,836],{},"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）。",[21,838,34],{"id":34},[36,840,841,850,856,862,868,874,880,886,892,898,904,910],{},[39,842,843,846,847,849],{},[42,844,845],{},"多 agent orchestration","：",[225,848,832],{}," 编排多个专门 agent 协作",[39,851,852,855],{},[42,853,854],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[39,857,858,861],{},[42,859,860],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[39,863,864,867],{},[42,865,866],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[39,869,870,873],{},[42,871,872],{},"OpenManus-RL","：强化学习微调分支",[39,875,876,879],{},[42,877,878],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[39,881,882,885],{},[42,883,884],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[39,887,888,891],{},[42,889,890],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[39,893,894,897],{},[42,895,896],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[39,899,900,903],{},[42,901,902],{},"Web UI 监控","：实时看 AI thinking process",[39,905,906,909],{},[42,907,908],{},"任务可视化","：步骤拆解 + 执行树",[39,911,912,915],{},[42,913,914],{},"MIT 协议","：个人 + 商用全免费",[21,917,114],{"id":114},[36,919,920,926,929,932],{},[39,921,922,925],{},[42,923,924],{},"Free \u002F OSS","：$0；MIT 协议",[39,927,928],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[39,930,931],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[39,933,934],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[21,936,938],{"id":937},"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）",[26,940,941],{},[42,942,155],{},[36,944,945,948,951,954,957,960,963,966],{},[39,946,947],{},"52k stars 印证社区认同度 + 活跃度",[39,949,950],{},"MetaGPT 团队背景保证架构质量",[39,952,953],{},"多 agent 协作场景比单 agent 实现稳得多",[39,955,956],{},"Playwright 浏览器自动化非常完整",[39,958,959],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[39,961,962],{},"DataAnalysis 内置 agent 模式开箱即用",[39,964,965],{},"中文支持自然（Qwen VL Plus 接入）",[39,967,968],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[26,970,971],{},[42,972,186],{},[36,974,975,978,981,984,987,990,993,996],{},[39,976,977],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[39,979,980],{},"文档滞后新功能 1-2 个月",[39,982,983],{},"无官方 GUI，监控 UI 在做但不完整",[39,985,986],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[39,988,989],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[39,991,992],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[39,994,995],{},"中文 prompt 效果依赖底层模型",[39,997,998],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[21,1000,1001],{"id":1001},"上手",[218,1003,1005],{"className":220,"code":1004,"language":222,"meta":223,"style":223},"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",[225,1006,1007,1018,1026,1053,1067,1077,1081,1086,1097,1102,1106,1111,1119,1123,1128],{"__ignoreMap":223},[228,1008,1009,1012,1015],{"class":230,"line":231},[228,1010,1011],{"class":241},"git",[228,1013,1014],{"class":249}," clone",[228,1016,1017],{"class":249}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[228,1019,1020,1023],{"class":230,"line":238},[228,1021,1022],{"class":245},"cd",[228,1024,1025],{"class":249}," OpenManus\n",[228,1027,1028,1031,1034,1037,1040,1044,1047,1050],{"class":230,"line":253},[228,1029,1030],{"class":241},"python3.12",[228,1032,1033],{"class":245}," -m",[228,1035,1036],{"class":249}," venv",[228,1038,1039],{"class":249}," .venv",[228,1041,1043],{"class":1042},"sVt8B"," && ",[228,1045,1046],{"class":245},"source",[228,1048,1049],{"class":249}," .venv\u002Fbin\u002Factivate",[228,1051,1052],{"class":234},"  # 或 .venv\\Scripts\\activate\n",[228,1054,1055,1058,1061,1064],{"class":230,"line":260},[228,1056,1057],{"class":241},"pip",[228,1059,1060],{"class":249}," install",[228,1062,1063],{"class":245}," -r",[228,1065,1066],{"class":249}," requirements.txt\n",[228,1068,1069,1072,1074],{"class":230,"line":266},[228,1070,1071],{"class":241},"playwright",[228,1073,1060],{"class":249},[228,1075,1076],{"class":249}," chromium\n",[228,1078,1079],{"class":230,"line":281},[228,1080,257],{"emptyLinePlaceholder":256},[228,1082,1083],{"class":230,"line":292},[228,1084,1085],{"class":234},"# 配 LLM API\n",[228,1087,1088,1091,1094],{"class":230,"line":303},[228,1089,1090],{"class":241},"cp",[228,1092,1093],{"class":249}," config\u002Fconfig.example.toml",[228,1095,1096],{"class":249}," config\u002Fconfig.toml\n",[228,1098,1099],{"class":230,"line":317},[228,1100,1101],{"class":234},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[228,1103,1104],{"class":230,"line":327},[228,1105,257],{"emptyLinePlaceholder":256},[228,1107,1108],{"class":230,"line":337},[228,1109,1110],{"class":234},"# 单 agent 模式\n",[228,1112,1113,1116],{"class":230,"line":348},[228,1114,1115],{"class":241},"python",[228,1117,1118],{"class":249}," main.py\n",[228,1120,1121],{"class":230,"line":359},[228,1122,257],{"emptyLinePlaceholder":256},[228,1124,1125],{"class":230,"line":365},[228,1126,1127],{"class":234},"# 多 agent 模式\n",[228,1129,1130,1132],{"class":230,"line":370},[228,1131,1115],{"class":241},[228,1133,1134],{"class":249}," run_flow.py\n",[26,1136,1137],{},"试任务示例：",[218,1139,1144],{"className":1140,"code":1142,"language":1143},[1141],"language-text","> 帮我做一份『2026 开源 AI Agent 框架』竞品对比，含表格 + 引用 + 趋势分析，输出为 markdown 文件\n","text",[225,1145,1142],{"__ignoreMap":223},[21,1147,410],{"id":410},[412,1149,1150,1167],{},[415,1151,1152],{},[418,1153,1154,1156,1158,1161,1164],{},[421,1155,423],{},[421,1157,821],{},[421,1159,1160],{},"LangChain",[421,1162,1163],{},"AutoGPT",[421,1165,1166],{},"CrewAI",[436,1168,1169,1186,1201,1213,1228,1241,1255,1269,1286,1300],{},[418,1170,1171,1174,1177,1180,1183],{},[441,1172,1173],{},"形态",[441,1175,1176],{},"现成 agent 实现",[441,1178,1179],{},"building blocks",[441,1181,1182],{},"早期通用 agent",[441,1184,1185],{},"多 agent 框架",[418,1187,1188,1191,1194,1197,1199],{},[441,1189,1190],{},"浏览器自动化",[441,1192,1193],{},"✅ Playwright",[441,1195,1196],{},"–",[441,1198,496],{},[441,1200,1196],{},[418,1202,1203,1205,1207,1209,1211],{},[441,1204,520],{},[441,1206,469],{},[441,1208,496],{},[441,1210,1196],{},[441,1212,1196],{},[418,1214,1215,1218,1221,1224,1226],{},[441,1216,1217],{},"多 agent",[441,1219,1220],{},"✅ orchestration",[441,1222,1223],{},"需自搭",[441,1225,449],{},[441,1227,462],{},[418,1229,1230,1233,1235,1237,1239],{},[441,1231,1232],{},"DataAnalysis 内置",[441,1234,469],{},[441,1236,1196],{},[441,1238,1196],{},[441,1240,1196],{},[418,1242,1243,1246,1249,1251,1253],{},[441,1244,1245],{},"RL 微调",[441,1247,1248],{},"✅ OpenManus-RL",[441,1250,1196],{},[441,1252,1196],{},[441,1254,1196],{},[418,1256,1257,1260,1263,1265,1267],{},[441,1258,1259],{},"协议",[441,1261,1262],{},"MIT",[441,1264,1262],{},[441,1266,1262],{},[441,1268,1262],{},[418,1270,1271,1274,1277,1280,1283],{},[441,1272,1273],{},"Stars",[441,1275,1276],{},"52k+",[441,1278,1279],{},"100k+",[441,1281,1282],{},"170k+",[441,1284,1285],{},"30k+",[418,1287,1288,1290,1293,1296,1298],{},[441,1289,1001],{},[441,1291,1292],{},"中",[441,1294,1295],{},"难",[441,1297,1292],{},[441,1299,1292],{},[418,1301,1302,1304,1307,1310,1313],{},[441,1303,563],{},[441,1305,1306],{},"自托管 Manus 复刻",[441,1308,1309],{},"底层 framework",[441,1311,1312],{},"学习经典",[441,1314,1315],{},"多 agent 协作",[21,1317,578],{"id":578},[36,1319,1320,1326,1336,1342,1348,1354,1360,1366,1372],{},[39,1321,1322,1325],{},[42,1323,1324],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[39,1327,1328,1331,1332,1335],{},[42,1329,1330],{},"Playwright 依赖大","：首次 ",[225,1333,1334],{},"playwright install"," 下 chromium 慢，国内走镜像",[39,1337,1338,1341],{},[42,1339,1340],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[39,1343,1344,1347],{},[42,1345,1346],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[39,1349,1350,1353],{},[42,1351,1352],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[39,1355,1356,1359],{},[42,1357,1358],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[39,1361,1362,1365],{},[42,1363,1364],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[39,1367,1368,1371],{},[42,1369,1370],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[39,1373,1374,1377],{},[42,1375,1376],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[21,1379,643],{"id":642},[36,1381,1382,1385,1388,1391,1394,1397,1400,1403],{},[39,1383,1384],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[39,1386,1387],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[39,1389,1390],{},"✅ 隐私敏感 + 不愿数据上商业云",[39,1392,1393],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[39,1395,1396],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[39,1398,1399],{},"❌ 要 GUI \u002F 上手即用",[39,1401,1402],{},"❌ 生产级稳定（文档滞后 + 演进快）",[39,1404,1405],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[21,1407,672],{"id":672},[36,1409,1410,1414,1419],{},[39,1411,1412],{},[678,1413,681],{"href":680},[39,1415,1416],{},[678,1417,1418],{"href":767},"n8n 评测",[39,1420,1421],{},[678,1422,687],{"href":686},[21,1424,696],{"id":696},[698,1426,1427,1434,1441,1448],{},[39,1428,1429,1430],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[678,1431,1432],{"href":1432,"rel":1433},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[707],[39,1435,1436,1437],{},"Foundation Agents — OpenManus 项目介绍 ",[678,1438,1439],{"href":1439,"rel":1440},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[707],[39,1442,1443,1444],{},"Toolsverse — OpenManus 评测 + 52k stars ",[678,1445,1446],{"href":1446,"rel":1447},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[707],[39,1449,1450,1451],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[678,1452,1453],{"href":1453,"rel":1454},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[707],[730,1456,1457],{},"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":223,"searchDepth":253,"depth":253,"links":1459},[1460,1461,1462,1463,1464,1465,1466,1467,1468,1469],{"id":23,"depth":238,"text":24},{"id":34,"depth":238,"text":34},{"id":114,"depth":238,"text":114},{"id":937,"depth":238,"text":938},{"id":1001,"depth":238,"text":1001},{"id":410,"depth":238,"text":410},{"id":578,"depth":238,"text":578},{"id":642,"depth":238,"text":643},{"id":672,"depth":238,"text":672},{"id":696,"depth":238,"text":696},"general","\u002Fimg\u002Ftools\u002Fopenmanus.webp","OpenManus 真实评测：MetaGPT 核心成员 Xinbin Liang \u002F Jinyu Xiang \u002F Zhaoyang Yu \u002F Jiayi Zhang \u002F Sirui Hong 在 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。MIT 协议 + Python 模块化架构 + 多 agent orchestration（run_flow.py）+ Playwright 浏览器自动化 + MCP 工具支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习微调分支 + 自定义工具基类（BaseTool）。零邀请码、零订阅、零供应商绑定，唯一成本 = LLM API。",[1474,1477,1480,1483],{"q":1475,"a":1476},"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":1478,"a":1479},"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":1481,"a":1482},"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":1484,"a":1485},"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。",[764,1487,765],"zh",{},[1490,1491,1492,269],"linux","macos","windows",[1494],{"plan":924,"price":776,"features":1495,"notes":1496},"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）",[1499],"onboarding\u002Fopen-source-general-agent",[1501,1502],"openhuman-deep-review","openmanus-deep-review",{"power":266,"ux":253,"price":266,"cn_support":260,"stability":253},{"title":821,"description":1472},[1506,1508,1510,1512],{"name":1507,"url":1432,"accessed":802},"OpenManus GitHub（FoundationAgents 组织）",{"name":1509,"url":1439,"accessed":802},"Foundation Agents — OpenManus 项目介绍",{"name":1511,"url":1446,"accessed":802},"Toolsverse — OpenManus 评测 + 52k stars",{"name":1513,"url":1453,"accessed":802},"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",[812,1517,1518,816,1519,1520],"multi-agent","browser-automation","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","bwDrZ3am1nVPoISuuo1SzArkD2h3Du6eKkMXUWgpesM",1784565440476]