[{"data":1,"prerenderedAt":3036},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-n8n":8,"alt-list-n8n":824},{"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":747,"chinese_friendly":255,"cover":748,"description":749,"domestic":750,"extension":751,"faq":752,"free":258,"github":765,"languages":766,"lastVerified":769,"meta":770,"models":771,"navigation":258,"notSuitable":771,"opensource":258,"path":772,"pillar":773,"platforms":774,"priceTable":778,"pricing":796,"published":797,"relatedPlaybooks":798,"relatedReviews":771,"score":800,"self_host":258,"seo":801,"seoTitle":802,"slug":803,"sources":804,"stem":814,"suitable":771,"tagline":815,"tags":816,"updated":807,"verdict":822,"website":707,"__hash__":823},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md","n8n",[12,13,14],"agent\u002Fplatform\u002Flangflow","agent\u002Fprotocol\u002Fcomposio","agent\u002Fgeneral\u002Fopenmanus",[16,17,18],"OpenAI","Anthropic","Google",{"type":20,"value":21,"toc":735},"minimark",[22,27,31,34,37,114,117,143,149,153,158,184,189,215,219,376,379,407,410,413,578,581,642,646,672,675,696,699,731],[23,24,26],"h2",{"id":25},"tldr","TL;DR",[28,29,30],"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。",[28,32,33],{},"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）。",[23,35,36],{"id":36},"核心能力",[38,39,40,48,54,60,66,72,78,84,90,96,102,108],"ul",{},[41,42,43,47],"li",{},[44,45,46],"strong",{},"AI Agent 节点","：reasoning loop + 自主工具选择",[41,49,50,53],{},[44,51,52],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[41,55,56,59],{},[44,57,58],{},"原生 MCP","：MCP server 一键挂载到 agent",[41,61,62,65],{},[44,63,64],{},"Ollama 集成","：本地 LLM 零 API 成本",[41,67,68,71],{},[44,69,70],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[41,73,74,77],{},[44,75,76],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[41,79,80,83],{},[44,81,82],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[41,85,86,89],{},[44,87,88],{},"多分支并行 + 错误处理","：production workflow 必备",[41,91,92,95],{},[44,93,94],{},"版本控制 + Git Sync","：workflow as code",[41,97,98,101],{},[44,99,100],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[41,103,104,107],{},[44,105,106],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[41,109,110,113],{},[44,111,112],{},"5800+ 社区 workflow","：clone 即用",[23,115,116],{"id":116},"价格",[38,118,119,125,131,137],{},[41,120,121,124],{},[44,122,123],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[41,126,127,130],{},[44,128,129],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[41,132,133,136],{},[44,134,135],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[41,138,139,142],{},[44,140,141],{},"Enterprise","：联系销售；SSO + LDAP + 私有部署 + SLA",[144,145,146],"blockquote",{},[28,147,148],{},"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。",[23,150,152],{"id":151},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[28,154,155],{},[44,156,157],{},"亮点：",[38,159,160,163,166,169,172,175,178,181],{},[41,161,162],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[41,164,165],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[41,167,168],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[41,170,171],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[41,173,174],{},"5800+ 社区 workflow 节省 80% 上手时间",[41,176,177],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[41,179,180],{},"升级 Docker tag 一行，无 vendor 升级费",[41,182,183],{},"中文社区 \u002F B 站教程丰富",[28,185,186],{},[44,187,188],{},"踩坑：",[38,190,191,194,197,200,203,206,209,212],{},[41,192,193],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[41,195,196],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[41,198,199],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[41,201,202],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[41,204,205],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[41,207,208],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[41,210,211],{},"Webhook 公网暴露要加 IP 白名单 + secret",[41,213,214],{},"Worker 模式才能并发，单进程吞吐有限",[23,216,218],{"id":217},"上手docker-5-分钟","上手（Docker 5 分钟）",[220,221,226],"pre",{"className":222,"code":223,"language":224,"meta":225,"style":225},"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","",[227,228,229,238,253,260,266,281,292,303,317,327,337,348,359,365,370],"code",{"__ignoreMap":225},[230,231,234],"span",{"class":232,"line":233},"line",1,[230,235,237],{"class":236},"sJ8bj","# 持久化目录\n",[230,239,241,245,249],{"class":232,"line":240},2,[230,242,244],{"class":243},"sScJk","mkdir",[230,246,248],{"class":247},"sj4cs"," -p",[230,250,252],{"class":251},"sZZnC"," ~\u002Fn8n-data\n",[230,254,256],{"class":232,"line":255},3,[230,257,259],{"emptyLinePlaceholder":258},true,"\n",[230,261,263],{"class":232,"line":262},4,[230,264,265],{"class":236},"# 启动\n",[230,267,269,272,275,278],{"class":232,"line":268},5,[230,270,271],{"class":243},"docker",[230,273,274],{"class":251}," run",[230,276,277],{"class":247}," -d",[230,279,280],{"class":247}," \\\n",[230,282,284,287,290],{"class":232,"line":283},6,[230,285,286],{"class":247},"  --name",[230,288,289],{"class":251}," n8n",[230,291,280],{"class":247},[230,293,295,298,301],{"class":232,"line":294},7,[230,296,297],{"class":247},"  -p",[230,299,300],{"class":251}," 5678:5678",[230,302,280],{"class":247},[230,304,306,309,312,315],{"class":232,"line":305},8,[230,307,308],{"class":247},"  -e",[230,310,311],{"class":251}," N8N_BASIC_AUTH_ACTIVE=",[230,313,314],{"class":247},"true",[230,316,280],{"class":247},[230,318,320,322,325],{"class":232,"line":319},9,[230,321,308],{"class":247},[230,323,324],{"class":251}," N8N_BASIC_AUTH_USER=admin",[230,326,280],{"class":247},[230,328,330,332,335],{"class":232,"line":329},10,[230,331,308],{"class":247},[230,333,334],{"class":251}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[230,336,280],{"class":247},[230,338,340,343,346],{"class":232,"line":339},11,[230,341,342],{"class":247},"  -v",[230,344,345],{"class":251}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[230,347,280],{"class":247},[230,349,351,354,357],{"class":232,"line":350},12,[230,352,353],{"class":247},"  --restart",[230,355,356],{"class":251}," always",[230,358,280],{"class":247},[230,360,362],{"class":232,"line":361},13,[230,363,364],{"class":251},"  n8nio\u002Fn8n\n",[230,366,368],{"class":232,"line":367},14,[230,369,259],{"emptyLinePlaceholder":258},[230,371,373],{"class":232,"line":372},15,[230,374,375],{"class":236},"# http:\u002F\u002Flocalhost:5678\n",[28,377,378],{},"连 Ollama：",[220,380,382],{"className":222,"code":381,"language":224,"meta":225,"style":225},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[227,383,384,392,402],{"__ignoreMap":225},[230,385,386,389],{"class":232,"line":233},[230,387,388],{"class":243},"ollama",[230,390,391],{"class":251}," serve\n",[230,393,394,396,399],{"class":232,"line":240},[230,395,388],{"class":243},[230,397,398],{"class":251}," pull",[230,400,401],{"class":251}," llama3.2\n",[230,403,404],{"class":232,"line":255},[230,405,406],{"class":236},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[28,408,409],{},"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。",[23,411,412],{"id":412},"对比",[414,415,416,437],"table",{},[417,418,419],"thead",{},[420,421,422,426,428,431,434],"tr",{},[423,424,425],"th",{},"维度",[423,427,10],{},[423,429,430],{},"Zapier",[423,432,433],{},"Make",[423,435,436],{},"Langflow",[438,439,440,457,472,489,503,518,531,545,561],"tbody",{},[420,441,442,446,449,452,454],{},[443,444,445],"td",{},"开源",[443,447,448],{},"✅ fair-code",[443,450,451],{},"❌",[443,453,451],{},[443,455,456],{},"✅ MIT",[420,458,459,462,465,467,469],{},[443,460,461],{},"自托管",[443,463,464],{},"✅ 旗舰",[443,466,451],{},[443,468,451],{},[443,470,471],{},"✅",[420,473,474,477,480,483,486],{},[443,475,476],{},"集成数",[443,478,479],{},"400+",[443,481,482],{},"8000+",[443,484,485],{},"2000+",[443,487,488],{},"LangChain 原语",[420,490,491,494,496,499,501],{},[443,492,493],{},"AI Agent",[443,495,464],{},[443,497,498],{},"部分",[443,500,498],{},[443,502,471],{},[420,504,505,508,511,513,515],{},[443,506,507],{},"LangChain 节点",[443,509,510],{},"✅ 70 个",[443,512,451],{},[443,514,451],{},[443,516,517],{},"✅ 原生",[420,519,520,523,525,527,529],{},[443,521,522],{},"MCP",[443,524,517],{},[443,526,451],{},[443,528,451],{},[443,530,498],{},[420,532,533,536,539,541,543],{},[443,534,535],{},"Local LLM",[443,537,538],{},"✅ Ollama",[443,540,451],{},[443,542,451],{},[443,544,471],{},[420,546,547,550,553,556,559],{},[443,548,549],{},"起价",[443,551,552],{},"$0 自托管",[443,554,555],{},"$29.99\u002F月",[443,557,558],{},"$9\u002F月",[443,560,552],{},[420,562,563,566,569,572,575],{},[443,564,565],{},"适合",[443,567,568],{},"开发者 + 高量级",[443,570,571],{},"非技术 + 简单",[443,573,574],{},"中等复杂",[443,576,577],{},"LangChain 工程",[23,579,580],{"id":580},"避坑",[38,582,583,589,595,601,607,613,619,625,631,636],{},[41,584,585,588],{},[44,586,587],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[41,590,591,594],{},[44,592,593],{},"Worker 模式","：高并发要起 worker container 才能并行",[41,596,597,600],{},[44,598,599],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[41,602,603,606],{},[44,604,605],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[41,608,609,612],{},[44,610,611],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[41,614,615,618],{},[44,616,617],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[41,620,621,624],{},[44,622,623],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[41,626,627,630],{},[44,628,629],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[41,632,633,635],{},[44,634,112],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[41,637,638,641],{},[44,639,640],{},"monitoring","：生产部署加 prometheus + 错误告警",[23,643,645],{"id":644},"适合-不适合","适合 \u002F 不适合",[38,647,648,651,654,657,660,663,666,669],{},[41,649,650],{},"✅ 开发者 + 完全控制 + 高量级自动化",[41,652,653],{},"✅ 从 Zapier \u002F Make 迁出降本",[41,655,656],{},"✅ AI Agent + LangChain + MCP 一体",[41,658,659],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[41,661,662],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[41,664,665],{},"❌ 完全不愿自托管 + 不想付 Cloud",[41,667,668],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[41,670,671],{},"❌ 极简 2-step 自动化（Zapier 更快）",[23,673,674],{"id":674},"相关阅读",[38,676,677,684,690],{},[41,678,679],{},[680,681,683],"a",{"href":682},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[41,685,686],{},[680,687,689],{"href":688},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[41,691,692],{},[680,693,695],{"href":694},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus","OpenManus 评测",[23,697,698],{"id":698},"来源",[700,701,702,710,717,724],"ol",{},[41,703,704,705],{},"n8n 官网 ",[680,706,707],{"href":707,"rel":708},"https:\u002F\u002Fn8n.io",[709],"nofollow",[41,711,712,713],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[680,714,715],{"href":715,"rel":716},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[709],[41,718,719,720],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[680,721,722],{"href":722,"rel":723},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[709],[41,725,726,727],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[680,728,729],{"href":729,"rel":730},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[709],[732,733,734],"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":225,"searchDepth":255,"depth":255,"links":736},[737,738,739,740,741,742,743,744,745,746],{"id":25,"depth":240,"text":26},{"id":36,"depth":240,"text":36},{"id":116,"depth":240,"text":116},{"id":151,"depth":240,"text":152},{"id":217,"depth":240,"text":218},{"id":412,"depth":240,"text":412},{"id":580,"depth":240,"text":580},{"id":644,"depth":240,"text":645},{"id":674,"depth":240,"text":674},{"id":698,"depth":240,"text":698},"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",[753,756,759,762],{"q":754,"a":755},"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":757,"a":758},"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":760,"a":761},"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":763,"a":764},"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。","https:\u002F\u002Fgithub.com\u002Fn8n-io\u002Fn8n",[767,768],"en","multi","2026-08-02",{},null,"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","agent",[775,776,271,777],"self-host","cloud","web",[779,784,788,792],{"plan":780,"price":781,"features":782,"notes":783},"Community (Self-host)","$0","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":129,"price":785,"features":786,"notes":787},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":135,"price":789,"features":790,"notes":791},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":141,"price":793,"features":794,"notes":795},"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",[799],"onboarding\u002Fn8n-ollama-automation",{"power":268,"ux":262,"price":268,"cn_support":255,"stability":268},{"title":10,"description":749},"n8n 评测 2026：开源自托管自动化平台，AI Agent 工作流首选","agent\u002Fplatform\u002Fn8n",[805,808,810,812],{"name":806,"url":707,"accessed":807},"n8n 官网","2026-06-24",{"name":809,"url":715,"accessed":807},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":811,"url":722,"accessed":807},"Tutorials Technology — n8n + AI on Linux 2026",{"name":813,"url":729,"accessed":807},"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",[817,818,819,820,821,775,10],"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。","-iDDIKwjGjB9NT7Qxs4dB1VzNj1sd4TtsHpoVRTDw9A",[825,1446,2338],{"id":826,"title":436,"alternatives":827,"api_compatible":828,"body":833,"category":747,"chinese_friendly":255,"cover":1389,"description":1390,"domestic":750,"extension":751,"faq":1391,"free":258,"github":1404,"languages":1405,"lastVerified":769,"meta":1406,"models":771,"navigation":258,"notSuitable":771,"opensource":258,"path":682,"pillar":773,"platforms":1407,"priceTable":1408,"pricing":1422,"published":797,"relatedPlaybooks":1423,"relatedReviews":771,"score":1425,"self_host":258,"seo":1426,"seoTitle":1427,"slug":12,"sources":1428,"stem":1438,"suitable":771,"tagline":1439,"tags":1440,"updated":807,"verdict":1444,"website":1431,"__hash__":1445},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md",[803,13,14],[16,17,829,830,831,832],"百度文心","阿里通义","Moonshot Kimi","DeepSeek",{"type":20,"value":834,"toc":1377},[835,837,840,843,845,919,921,946,951,955,959,985,989,1015,1018,1072,1075,1098,1100,1239,1241,1297,1299,1325,1327,1342,1344,1374],[23,836,26],{"id":25},[28,838,839],{},"Langflow 是 2023 开源、2024 被 DataStax 收购的可视化 LangChain 画布。20,000+ GitHub stars、MIT 协议、Python 实现、与 Astra DB 向量库深度集成。差异点：拖拽式画布把 LangChain primitive 映射成节点 + RAG pipeline 原生组件 + 多 agent 工作流 + 节点可下钻到 Python 代码 + 自托管 \u002F Docker \u002F DataStax Astra 云托管 + Pinecone \u002F pgvector \u002F 主流向量库适配 + Visual GUI for building LangChain pipelines。Self-host 免费 \u002F Cloud Free + Paid ~$25\u002F月起。",[28,841,842],{},"适合：工程团队要可视化建 LangChain 流 + 不被 SaaS 锁住；合规 \u002F 数据驻留要求自托管；要 Astra DB 一站式 RAG；想用 LangChain 但讨厌纯代码协作。不适合：业务侧 + 非工程师（用 Dify \u002F Coze）；纯无代码偏好（Langflow 仍要懂 LangChain 概念）；轻量场景 + 不需要画布（直接写 LangChain 代码）。",[23,844,36],{"id":36},[38,846,847,853,859,865,871,877,883,889,895,901,907,913],{},[41,848,849,852],{},[44,850,851],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[41,854,855,858],{},[44,856,857],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[41,860,861,864],{},[44,862,863],{},"多 agent 工作流","：编排多 agent 协作",[41,866,867,870],{},[44,868,869],{},"Python 下钻","：任意节点可写 custom Python",[41,872,873,876],{},[44,874,875],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[41,878,879,882],{},[44,880,881],{},"API 部署","：流程一键导出为 REST API",[41,884,885,888],{},[44,886,887],{},"Real-time collaboration","：多用户同 project",[41,890,891,894],{},[44,892,893],{},"版本控制","：内置 versioning + revert",[41,896,897,900],{},[44,898,899],{},"数据可视化","：node output \u002F data flow 可视化调试",[41,902,903,906],{},[44,904,905],{},"角色权限","：user auth + RBAC",[41,908,909,912],{},[44,910,911],{},"Docker \u002F pip 安装","：5 分钟启动",[41,914,915,918],{},[44,916,917],{},"Astra-hosted cloud","：DataStax 托管选项",[23,920,116],{"id":116},[38,922,923,929,935,941],{},[41,924,925,928],{},[44,926,927],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[41,930,931,934],{},[44,932,933],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[41,936,937,940],{},[44,938,939],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[41,942,943,945],{},[44,944,141],{},"：联系销售；SSO + audit + 私有部署 + SLA",[144,947,948],{},[28,949,950],{},"自托管最低成本：$5-10\u002F月 VPS + LLM API token。Cloud Paid $25\u002F月适合不想运维的小团队。",[23,952,954],{"id":953},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[28,956,957],{},[44,958,157],{},[38,960,961,964,967,970,973,976,979,982],{},[41,962,963],{},"画布直观，比纯写 LangChain 协作效率高 5x",[41,965,966],{},"节点下钻到 Python 让灵活度不被画布限制",[41,968,969],{},"Astra DB 集成省了配 vector store 时间",[41,971,972],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[41,974,975],{},"开源 + 自托管 + 数据驻留满足合规",[41,977,978],{},"多 agent 编排比裸 LangChain 调试容易",[41,980,981],{},"RAG pipeline 模板一键起 demo",[41,983,984],{},"与 DataStax 长期支持降低 abandon ware 风险",[28,986,987],{},[44,988,188],{},[38,990,991,994,997,1000,1003,1006,1009,1012],{},[41,992,993],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[41,995,996],{},"第三方 API 依赖：external API 失败时错误处理弱",[41,998,999],{},"production readiness 不算 mission-critical（要自加 observability）",[41,1001,1002],{},"LangChain 升级偶尔 break 旧 flow",[41,1004,1005],{},"文档对新组件滞后 1-2 月",[41,1007,1008],{},"中文 UI 不完整，业务侧用户上手陡",[41,1010,1011],{},"大型 flow（100+ 节点）画布卡顿",[41,1013,1014],{},"多人协作偶发同步冲突",[23,1016,1017],{"id":1017},"上手",[220,1019,1021],{"className":222,"code":1020,"language":224,"meta":225,"style":225},"# pip 安装\npip install langflow\nlangflow run  # http:\u002F\u002Flocalhost:7860\n\n# 或 Docker\ndocker run -p 7860:7860 langflowai\u002Flangflow:latest\n",[227,1022,1023,1028,1039,1049,1053,1058],{"__ignoreMap":225},[230,1024,1025],{"class":232,"line":233},[230,1026,1027],{"class":236},"# pip 安装\n",[230,1029,1030,1033,1036],{"class":232,"line":240},[230,1031,1032],{"class":243},"pip",[230,1034,1035],{"class":251}," install",[230,1037,1038],{"class":251}," langflow\n",[230,1040,1041,1044,1046],{"class":232,"line":255},[230,1042,1043],{"class":243},"langflow",[230,1045,274],{"class":251},[230,1047,1048],{"class":236},"  # http:\u002F\u002Flocalhost:7860\n",[230,1050,1051],{"class":232,"line":262},[230,1052,259],{"emptyLinePlaceholder":258},[230,1054,1055],{"class":232,"line":268},[230,1056,1057],{"class":236},"# 或 Docker\n",[230,1059,1060,1062,1064,1066,1069],{"class":232,"line":283},[230,1061,271],{"class":243},[230,1063,274],{"class":251},[230,1065,248],{"class":247},[230,1067,1068],{"class":251}," 7860:7860",[230,1070,1071],{"class":251}," langflowai\u002Flangflow:latest\n",[28,1073,1074],{},"试 RAG 流：",[700,1076,1077,1080,1083,1086,1089,1092,1095],{},[41,1078,1079],{},"新建 flow → 选 Document QA 模板",[41,1081,1082],{},"Document Loader 节点 → 上传 PDF",[41,1084,1085],{},"Splitter → Embedder（OpenAI 或本地）",[41,1087,1088],{},"VectorStore（Astra \u002F Chroma）",[41,1090,1091],{},"Retriever + ChatOpenAI → Chat Output",[41,1093,1094],{},"部署为 API → 拿到 endpoint",[41,1096,1097],{},"复杂场景下钻节点写 Python 自定义",[23,1099,412],{"id":412},[414,1101,1102,1118],{},[417,1103,1104],{},[420,1105,1106,1108,1110,1113,1115],{},[423,1107,425],{},[423,1109,436],{},[423,1111,1112],{},"Dify",[423,1114,10],{},[423,1116,1117],{},"Flowise",[438,1119,1120,1137,1151,1165,1178,1193,1206,1223],{},[420,1121,1122,1125,1128,1131,1134],{},[443,1123,1124],{},"中心",[443,1126,1127],{},"LangChain primitive",[443,1129,1130],{},"LLMOps 全平台",[443,1132,1133],{},"通用 workflow",[443,1135,1136],{},"LangChain（JS）",[420,1138,1139,1141,1143,1146,1149],{},[443,1140,445],{},[443,1142,456],{},[443,1144,1145],{},"✅ AGPL",[443,1147,1148],{},"✅ Sustainable",[443,1150,456],{},[420,1152,1153,1155,1158,1161,1163],{},[443,1154,461],{},[443,1156,1157],{},"✅ pip\u002FDocker",[443,1159,1160],{},"✅ Docker",[443,1162,1160],{},[443,1164,471],{},[420,1166,1167,1170,1172,1174,1176],{},[443,1168,1169],{},"可视化",[443,1171,464],{},[443,1173,471],{},[443,1175,471],{},[443,1177,471],{},[420,1179,1180,1183,1186,1188,1191],{},[443,1181,1182],{},"代码下钻",[443,1184,1185],{},"✅ Python",[443,1187,498],{},[443,1189,1190],{},"✅ JS",[443,1192,1190],{},[420,1194,1195,1198,1200,1202,1204],{},[443,1196,1197],{},"RAG 内置",[443,1199,471],{},[443,1201,471],{},[443,1203,498],{},[443,1205,471],{},[420,1207,1208,1211,1214,1217,1220],{},[443,1209,1210],{},"起价（云）",[443,1212,1213],{},"$25\u002F月",[443,1215,1216],{},"$59\u002F月（Team）",[443,1218,1219],{},"自托管 $0",[443,1221,1222],{},"–",[420,1224,1225,1227,1230,1233,1236],{},[443,1226,565],{},[443,1228,1229],{},"工程 + LangChain",[443,1231,1232],{},"业务 + LLMOps",[443,1234,1235],{},"通用自动化",[443,1237,1238],{},"JS 生态",[23,1240,580],{"id":580},[38,1242,1243,1249,1255,1261,1267,1273,1279,1285,1291],{},[41,1244,1245,1248],{},[44,1246,1247],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[41,1250,1251,1254],{},[44,1252,1253],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[41,1256,1257,1260],{},[44,1258,1259],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[41,1262,1263,1266],{},[44,1264,1265],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[41,1268,1269,1272],{},[44,1270,1271],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[41,1274,1275,1278],{},[44,1276,1277],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[41,1280,1281,1284],{},[44,1282,1283],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[41,1286,1287,1290],{},[44,1288,1289],{},"中文场景","：UI 英文为主，业务侧用户先培训",[41,1292,1293,1296],{},[44,1294,1295],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[23,1298,645],{"id":644},[38,1300,1301,1304,1307,1310,1313,1316,1319,1322],{},[41,1302,1303],{},"✅ 工程团队要可视化建 LangChain 流",[41,1305,1306],{},"✅ 合规 \u002F 数据驻留要求自托管",[41,1308,1309],{},"✅ 要 Astra DB 一站式 RAG",[41,1311,1312],{},"✅ Python 团队 + 想画布 + 想下钻代码",[41,1314,1315],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[41,1317,1318],{},"❌ 纯无代码偏好",[41,1320,1321],{},"❌ 轻量场景 + 直接写 LangChain 更快",[41,1323,1324],{},"❌ JS 生态优先（用 Flowise）",[23,1326,674],{"id":674},[38,1328,1329,1334,1338],{},[41,1330,1331],{},[680,1332,1333],{"href":772},"n8n 评测",[41,1335,1336],{},[680,1337,689],{"href":688},[41,1339,1340],{},[680,1341,695],{"href":694},[23,1343,698],{"id":698},[700,1345,1346,1353,1360,1367],{},[41,1347,1348,1349],{},"Langflow 官网 + 定价 ",[680,1350,1351],{"href":1351,"rel":1352},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[709],[41,1354,1355,1356],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[680,1357,1358],{"href":1358,"rel":1359},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[709],[41,1361,1362,1363],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[680,1364,1365],{"href":1365,"rel":1366},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[709],[41,1368,1369,1370],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[680,1371,1372],{"href":1372,"rel":1373},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[709],[732,1375,1376],{},"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 .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":225,"searchDepth":255,"depth":255,"links":1378},[1379,1380,1381,1382,1383,1384,1385,1386,1387,1388],{"id":25,"depth":240,"text":26},{"id":36,"depth":240,"text":36},{"id":116,"depth":240,"text":116},{"id":953,"depth":240,"text":954},{"id":1017,"depth":240,"text":1017},{"id":412,"depth":240,"text":412},{"id":580,"depth":240,"text":580},{"id":644,"depth":240,"text":645},{"id":674,"depth":240,"text":674},{"id":698,"depth":240,"text":698},"\u002Fimg\u002Ftools\u002Flangflow.webp","Langflow 真实评测：2023 开源项目，2024 被 DataStax 收购，与 Astra DB 向量数据库平台深度集成。20,000+ GitHub stars、MIT 协议。差异点：拖拽式可视化画布映射 LangChain 原语 + RAG pipeline 原生组件 + 多 agent 工作流 + Python + 自托管（pip \u002F Docker）+ DataStax Astra 托管云 + Pinecone \u002F pgvector \u002F 主流向量库适配。Cloud 免费档 + 约 $25\u002F月起。",[1392,1395,1398,1401],{"q":1393,"a":1394},"Langflow 和 Dify \u002F n8n \u002F Flowise 怎么选？","Langflow 强『可视化 LangChain 原语 + Python 代码可下钻 + 自托管 + Astra DB 集成』，工程导向。Dify 是 LLMOps 全平台（含 dataset \u002F app \u002F observability），业务侧更友好。n8n 是通用 workflow（非 LangChain 中心），70+ LangChain 节点是后加的。Flowise 是 Langflow 的同类竞品（JS 生态）。工程团队 + Python + 合规自托管 → Langflow；业务 + 完整 LLMOps → Dify；通用自动化 → n8n。",{"q":1396,"a":1397},"为什么被 DataStax 收购？","DataStax 是 Cassandra 商业公司 + Astra DB 向量数据库厂商。收购 Langflow 是为了把『可视化 LangChain builder』和『生产级 vector store』捆成一站式 RAG 解决方案。Langflow 主仓仍是 MIT 开源，但 cloud \u002F 企业版深度依赖 Astra。",{"q":1399,"a":1400},"可视化画布会不会限制灵活度？","Langflow 节点对应 LangChain primitive，可在任意节点下钻到 Python 代码 + 自定义。所以可视化层是『脚手架 + 协作工具』，不是『纯无代码黑盒』。复杂逻辑、custom tool、retriever 都能写代码扩展。",{"q":1402,"a":1403},"production readiness 如何？","用户反馈：原型 + 内部工具非常顺；大流量 \u002F 关键业务要自行加 observability \u002F 错误处理 \u002F 缓存。SelectHub 评测列出『稳定性偶发 + 第三方 API 依赖 + 非完全 production-ready』。生产部署建议 Astra-hosted cloud 或自托管 + 加 sentry \u002F langsmith \u002F prometheus。","https:\u002F\u002Fgithub.com\u002Flangflow-ai\u002Flangflow",[767,768],{},[775,776,271,777],[1409,1412,1415,1419],{"plan":927,"price":781,"features":1410,"notes":1411},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":933,"price":781,"features":1413,"notes":1414},"DataStax 托管 + 小流量","试水",{"plan":939,"price":1416,"features":1417,"notes":1418},"~$25\u002F月起","Astra DB + 更高额度 + 更多并发 + 团队协作","按使用量阶梯",{"plan":141,"price":793,"features":1420,"notes":1421},"SSO + audit + 私有部署 + SLA + 数据驻留","合规 \u002F 大客户","Self-host 完全免费 MIT \u002F Cloud Free + 付费起 ~$25·月（Astra-hosted）",[1424],"onboarding\u002Frag-app-workflow",{"power":262,"ux":268,"price":268,"cn_support":255,"stability":262},{"title":436,"description":1390},"Langflow 评测 2026：可视化 AI 工作流构建工具，LangChain 低代码平台",[1429,1432,1434,1436],{"name":1430,"url":1431,"accessed":807},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":1433,"url":1358,"accessed":807},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":1435,"url":1365,"accessed":807},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":1437,"url":1372,"accessed":807},"SelectHub — LangFlow Reviews 2026","tools\u002Fagent\u002Fplatform\u002Flangflow","DataStax 出品的可视化 LangChain 画布——MIT 开源 + 20k+ stars + 自托管 + Astra DB 云托管",[817,1441,820,1442,1443,1043],"visual-builder","rag","datastax","工程团队要可视化建 LangChain 流 + 不被 SaaS 锁住 + 合规要求自托管的最佳选择。要纯无代码 + 业务侧 → Dify \u002F Coze；要纯代码 → 直接写 LangChain \u002F LlamaIndex。","PNaJCu7eJDsH8LhAlO7CJ5JmktlB6hCq0vbBojxlTeM",{"id":1447,"title":1448,"alternatives":1449,"api_compatible":771,"body":1452,"category":2279,"chinese_friendly":255,"cover":2280,"description":2281,"domestic":750,"extension":751,"faq":2282,"free":258,"github":771,"languages":2295,"lastVerified":769,"meta":2296,"models":771,"navigation":258,"notSuitable":771,"opensource":750,"path":688,"pillar":773,"platforms":2297,"priceTable":2300,"pricing":2310,"published":797,"relatedPlaybooks":2311,"relatedReviews":2313,"score":2315,"self_host":750,"seo":2316,"seoTitle":2317,"slug":13,"sources":2318,"stem":2329,"suitable":771,"tagline":2330,"tags":2331,"updated":807,"verdict":2336,"website":2234,"__hash__":2337},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio.md","Composio",[1450,1451,12],"agent\u002Fprotocol\u002Fsmithery","agent\u002Fprotocol\u002Fmcp-toolbox",{"type":20,"value":1453,"toc":2267},[1454,1456,1459,1462,1464,1538,1540,1558,1563,1567,1571,1597,1601,1627,1631,1664,1958,1960,2108,2110,2174,2176,2205,2207,2225,2227,2264],[23,1455,26],{"id":25},[28,1457,1458],{},"Composio 是 AI agent 集成基础设施层，把『agent 接入 1000-10,000+ 真实工具』的复杂度封装为一个 SDK。差异点：1000+ pre-built 集成（GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear \u002F Jira \u002F Google Workspace）+ 托管 OAuth（含自动 token refresh）+ 沙箱执行 + 细粒度 action-level 权限 + 完整审计日志 + 框架无关（MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT 都能用）+ Python \u002F TypeScript SDK + AWS \u002F Zoom \u002F Glean 等企业客户。Tooliverse 评分 8.56\u002F10，295 条多平台评测交叉验证。",[28,1460,1461],{},"适合：要造 agent 接多个 SaaS 工具的团队；OAuth \u002F token refresh \u002F 错误重试不想自己写；多框架兼容（不锁定 LangChain）；企业 + 合规 + audit log；已有 MCP server 但想要更广覆盖。不适合：单一工具 high-frequency 场景（自接 API 更便宜）；轻量 hobby project（LangChain native tool 够用）；要 1000% 控制集成代码（用开源 MCP server）；数据零云 + 完全自托管（Composio 是 SaaS）。",[23,1463,36],{"id":36},[38,1465,1466,1472,1478,1484,1490,1496,1502,1508,1514,1520,1526,1532],{},[41,1467,1468,1471],{},[44,1469,1470],{},"1000+ pre-built 集成","：GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear \u002F Jira \u002F Google Workspace 等",[41,1473,1474,1477],{},[44,1475,1476],{},"托管 OAuth","：OAuth flow + token refresh + multi-user 全自动",[41,1479,1480,1483],{},[44,1481,1482],{},"沙箱执行","：tool call 在隔离环境跑，安全隔离",[41,1485,1486,1489],{},[44,1487,1488],{},"action-level 权限","：可精确控制 agent 能做什么（read-only \u002F write \u002F admin）",[41,1491,1492,1495],{},[44,1493,1494],{},"审计日志","：每次 tool call 完整记录（timestamp \u002F user \u002F args \u002F result）",[41,1497,1498,1501],{},[44,1499,1500],{},"框架无关","：MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT",[41,1503,1504,1507],{},[44,1505,1506],{},"Python + TypeScript SDK","：主流 agent 栈都能用",[41,1509,1510,1513],{},[44,1511,1512],{},"MCP server","：1000+ 工具统一 MCP 入口",[41,1515,1516,1519],{},[44,1517,1518],{},"多用户 session","：per-user OAuth + 隔离 workspace",[41,1521,1522,1525],{},[44,1523,1524],{},"自定义工具","：BaseTool 扩展 + JSON schema 验证",[41,1527,1528,1531],{},[44,1529,1530],{},"企业能力","：SSO \u002F audit \u002F SLA \u002F 私有部署",[41,1533,1534,1537],{},[44,1535,1536],{},"AWS \u002F Zoom \u002F Glean 客户","：production 验证",[23,1539,116],{"id":116},[38,1541,1542,1548,1554],{},[41,1543,1544,1547],{},[44,1545,1546],{},"Free","：$0；全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server",[41,1549,1550,1553],{},[44,1551,1552],{},"Growth","：按 action 量阶梯；更高额度 + 团队",[41,1555,1556,945],{},[44,1557,141],{},[144,1559,1560],{},[28,1561,1562],{},"真实成本：低频 + 多样工具（每天几百次 action）Free 档够用；high-frequency（每分钟轮询 \u002F 大量 batch）成本陡升，要算清单 action 价格。",[23,1564,1566],{"id":1565},"实测agent-接入多-saas","实测（agent 接入多 SaaS）",[28,1568,1569],{},[44,1570,157],{},[38,1572,1573,1576,1579,1582,1585,1588,1591,1594],{},[41,1574,1575],{},"集成宽度（1000+）业内最广",[41,1577,1578],{},"OAuth 全托管省 50% 工程量",[41,1580,1581],{},"一份 SDK 跑通 CrewAI \u002F LangChain \u002F OpenAI Agents SDK",[41,1583,1584],{},"沙箱执行 + audit log 让企业合规过关",[41,1586,1587],{},"AWS \u002F Zoom \u002F Glean 等大客户 = production-grade 信号",[41,1589,1590],{},"Tooliverse 8.56\u002F10、Toolradar 4.9\u002F5（295 reviews）",[41,1592,1593],{},"5 分钟可让 CrewAI agent 在 GitHub 上 star 一个 repo",[41,1595,1596],{},"self-healing tool execution（自动重试 + 错误处理）",[28,1598,1599],{},[44,1600,188],{},[38,1602,1603,1606,1609,1612,1615,1618,1621,1624],{},[41,1604,1605],{},"文档『can lag behind rapid feature releases』",[41,1607,1608],{},"pricing scales steeply for high-frequency use cases",[41,1610,1611],{},"自定义工具要『master schema validation that documentation doesn't fully demystify』",[41,1613,1614],{},"冷门集成 action coverage 浅，只支持基础 CRUD",[41,1616,1617],{},"数据完全 SaaS 化，零云需求不能用",[41,1619,1620],{},"国内访问偶发慢（CDN 在海外）",[41,1622,1623],{},"Free 档 action 限额对生产 hobby 也容易撞顶",[41,1625,1626],{},"vendor lock-in：迁移要重写 OAuth 层",[23,1628,1630],{"id":1629},"上手crewai-5-分钟","上手（CrewAI 5 分钟）",[220,1632,1634],{"className":222,"code":1633,"language":224,"meta":225,"style":225},"pip install composio composio-crewai crewai\nexport COMPOSIO_API_KEY=***\n",[227,1635,1636,1651],{"__ignoreMap":225},[230,1637,1638,1640,1642,1645,1648],{"class":232,"line":233},[230,1639,1032],{"class":243},[230,1641,1035],{"class":251},[230,1643,1644],{"class":251}," composio",[230,1646,1647],{"class":251}," composio-crewai",[230,1649,1650],{"class":251}," crewai\n",[230,1652,1653,1657,1661],{"class":232,"line":240},[230,1654,1656],{"class":1655},"szBVR","export",[230,1658,1660],{"class":1659},"sVt8B"," COMPOSIO_API_KEY",[230,1662,1663],{"class":1655},"=***\n",[220,1665,1669],{"className":1666,"code":1667,"language":1668,"meta":225,"style":225},"language-python shiki shiki-themes github-light github-dark","from composio_crewai import ComposioProvider\nfrom composio import Composio\nfrom crewai import Agent, Task, Crew\n\ncomposio = Composio(provider=ComposioProvider())\nsession = composio.create(user_id=\"alice\", toolkits=[\"github\", \"gmail\"])\ntools = session.tools()\n\n# 手动授权（首次）\nauth = session.authorize(\"github\")\nprint(f\"Visit: {auth.redirect_url}\")\n\nagent = Agent(\n    role=\"GitHub Agent\",\n    goal=\"Star repos on behalf of users\",\n    tools=tools, llm=...\n)\ntask = Task(description=\"Star composiohq\u002Fcomposio\", agent=agent, expected_output=\"done\")\nCrew(agents=[agent], tasks=[task]).kickoff()\n","python",[227,1670,1671,1685,1697,1709,1713,1733,1773,1783,1787,1792,1807,1835,1839,1849,1862,1874,1893,1898,1936],{"__ignoreMap":225},[230,1672,1673,1676,1679,1682],{"class":232,"line":233},[230,1674,1675],{"class":1655},"from",[230,1677,1678],{"class":1659}," composio_crewai ",[230,1680,1681],{"class":1655},"import",[230,1683,1684],{"class":1659}," ComposioProvider\n",[230,1686,1687,1689,1692,1694],{"class":232,"line":240},[230,1688,1675],{"class":1655},[230,1690,1691],{"class":1659}," composio ",[230,1693,1681],{"class":1655},[230,1695,1696],{"class":1659}," Composio\n",[230,1698,1699,1701,1704,1706],{"class":232,"line":255},[230,1700,1675],{"class":1655},[230,1702,1703],{"class":1659}," crewai ",[230,1705,1681],{"class":1655},[230,1707,1708],{"class":1659}," Agent, Task, Crew\n",[230,1710,1711],{"class":232,"line":262},[230,1712,259],{"emptyLinePlaceholder":258},[230,1714,1715,1718,1721,1724,1728,1730],{"class":232,"line":268},[230,1716,1717],{"class":1659},"composio ",[230,1719,1720],{"class":1655},"=",[230,1722,1723],{"class":1659}," Composio(",[230,1725,1727],{"class":1726},"s4XuR","provider",[230,1729,1720],{"class":1655},[230,1731,1732],{"class":1659},"ComposioProvider())\n",[230,1734,1735,1738,1740,1743,1746,1748,1751,1754,1757,1759,1762,1765,1767,1770],{"class":232,"line":283},[230,1736,1737],{"class":1659},"session ",[230,1739,1720],{"class":1655},[230,1741,1742],{"class":1659}," composio.create(",[230,1744,1745],{"class":1726},"user_id",[230,1747,1720],{"class":1655},[230,1749,1750],{"class":251},"\"alice\"",[230,1752,1753],{"class":1659},", ",[230,1755,1756],{"class":1726},"toolkits",[230,1758,1720],{"class":1655},[230,1760,1761],{"class":1659},"[",[230,1763,1764],{"class":251},"\"github\"",[230,1766,1753],{"class":1659},[230,1768,1769],{"class":251},"\"gmail\"",[230,1771,1772],{"class":1659},"])\n",[230,1774,1775,1778,1780],{"class":232,"line":294},[230,1776,1777],{"class":1659},"tools ",[230,1779,1720],{"class":1655},[230,1781,1782],{"class":1659}," session.tools()\n",[230,1784,1785],{"class":232,"line":305},[230,1786,259],{"emptyLinePlaceholder":258},[230,1788,1789],{"class":232,"line":319},[230,1790,1791],{"class":236},"# 手动授权（首次）\n",[230,1793,1794,1797,1799,1802,1804],{"class":232,"line":329},[230,1795,1796],{"class":1659},"auth ",[230,1798,1720],{"class":1655},[230,1800,1801],{"class":1659}," session.authorize(",[230,1803,1764],{"class":251},[230,1805,1806],{"class":1659},")\n",[230,1808,1809,1812,1815,1818,1821,1824,1827,1830,1833],{"class":232,"line":339},[230,1810,1811],{"class":247},"print",[230,1813,1814],{"class":1659},"(",[230,1816,1817],{"class":1655},"f",[230,1819,1820],{"class":251},"\"Visit: ",[230,1822,1823],{"class":247},"{",[230,1825,1826],{"class":1659},"auth.redirect_url",[230,1828,1829],{"class":247},"}",[230,1831,1832],{"class":251},"\"",[230,1834,1806],{"class":1659},[230,1836,1837],{"class":232,"line":350},[230,1838,259],{"emptyLinePlaceholder":258},[230,1840,1841,1844,1846],{"class":232,"line":361},[230,1842,1843],{"class":1659},"agent ",[230,1845,1720],{"class":1655},[230,1847,1848],{"class":1659}," Agent(\n",[230,1850,1851,1854,1856,1859],{"class":232,"line":367},[230,1852,1853],{"class":1726},"    role",[230,1855,1720],{"class":1655},[230,1857,1858],{"class":251},"\"GitHub Agent\"",[230,1860,1861],{"class":1659},",\n",[230,1863,1864,1867,1869,1872],{"class":232,"line":372},[230,1865,1866],{"class":1726},"    goal",[230,1868,1720],{"class":1655},[230,1870,1871],{"class":251},"\"Star repos on behalf of users\"",[230,1873,1861],{"class":1659},[230,1875,1877,1880,1882,1885,1888,1890],{"class":232,"line":1876},16,[230,1878,1879],{"class":1726},"    tools",[230,1881,1720],{"class":1655},[230,1883,1884],{"class":1659},"tools, ",[230,1886,1887],{"class":1726},"llm",[230,1889,1720],{"class":1655},[230,1891,1892],{"class":247},"...\n",[230,1894,1896],{"class":232,"line":1895},17,[230,1897,1806],{"class":1659},[230,1899,1901,1904,1906,1909,1912,1914,1917,1919,1921,1923,1926,1929,1931,1934],{"class":232,"line":1900},18,[230,1902,1903],{"class":1659},"task ",[230,1905,1720],{"class":1655},[230,1907,1908],{"class":1659}," Task(",[230,1910,1911],{"class":1726},"description",[230,1913,1720],{"class":1655},[230,1915,1916],{"class":251},"\"Star composiohq\u002Fcomposio\"",[230,1918,1753],{"class":1659},[230,1920,773],{"class":1726},[230,1922,1720],{"class":1655},[230,1924,1925],{"class":1659},"agent, ",[230,1927,1928],{"class":1726},"expected_output",[230,1930,1720],{"class":1655},[230,1932,1933],{"class":251},"\"done\"",[230,1935,1806],{"class":1659},[230,1937,1939,1942,1945,1947,1950,1953,1955],{"class":232,"line":1938},19,[230,1940,1941],{"class":1659},"Crew(",[230,1943,1944],{"class":1726},"agents",[230,1946,1720],{"class":1655},[230,1948,1949],{"class":1659},"[agent], ",[230,1951,1952],{"class":1726},"tasks",[230,1954,1720],{"class":1655},[230,1956,1957],{"class":1659},"[task]).kickoff()\n",[23,1959,412],{"id":412},[414,1961,1962,1979],{},[417,1963,1964],{},[420,1965,1966,1968,1970,1973,1976],{},[423,1967,425],{},[423,1969,1448],{},[423,1971,1972],{},"Smithery",[423,1974,1975],{},"MCP Toolbox",[423,1977,1978],{},"LangChain Tools",[438,1980,1981,1997,2012,2028,2040,2053,2066,2079,2093],{},[420,1982,1983,1985,1988,1991,1994],{},[443,1984,476],{},[443,1986,1987],{},"1000+",[443,1989,1990],{},"MCP 注册中心",[443,1992,1993],{},"Google MCP 集合",[443,1995,1996],{},"~200",[420,1998,1999,2002,2004,2007,2009],{},[443,2000,2001],{},"OAuth 托管",[443,2003,464],{},[443,2005,2006],{},"❌ 各 server 自管",[443,2008,451],{},[443,2010,2011],{},"自己写",[420,2013,2014,2017,2020,2023,2025],{},[443,2015,2016],{},"框架兼容",[443,2018,2019],{},"MCP + LC + CrewAI + Autogen + OpenAI",[443,2021,2022],{},"MCP only",[443,2024,2022],{},[443,2026,2027],{},"LangChain only",[420,2029,2030,2032,2034,2036,2038],{},[443,2031,1482],{},[443,2033,471],{},[443,2035,451],{},[443,2037,451],{},[443,2039,451],{},[420,2041,2042,2045,2047,2049,2051],{},[443,2043,2044],{},"audit log",[443,2046,471],{},[443,2048,451],{},[443,2050,498],{},[443,2052,451],{},[420,2054,2055,2058,2060,2062,2064],{},[443,2056,2057],{},"企业 SSO",[443,2059,471],{},[443,2061,451],{},[443,2063,451],{},[443,2065,451],{},[420,2067,2068,2070,2072,2074,2077],{},[443,2069,461],{},[443,2071,451],{},[443,2073,498],{},[443,2075,2076],{},"✅ Apache 2.0",[443,2078,456],{},[420,2080,2081,2083,2086,2088,2091],{},[443,2082,549],{},[443,2084,2085],{},"Free + 按 action",[443,2087,1546],{},[443,2089,2090],{},"$0 OSS",[443,2092,781],{},[420,2094,2095,2097,2100,2103,2106],{},[443,2096,565],{},[443,2098,2099],{},"多 SaaS + 多框架",[443,2101,2102],{},"MCP server 发现",[443,2104,2105],{},"Google Cloud",[443,2107,2027],{},[23,2109,580],{"id":580},[38,2111,2112,2118,2124,2133,2138,2144,2150,2156,2162,2168],{},[41,2113,2114,2117],{},[44,2115,2116],{},"action 预算","：先估月度 action 量 + 选档，high-frequency 不要无脑用 Free",[41,2119,2120,2123],{},[44,2121,2122],{},"OAuth scope 最小化","：只授权必需 scope，audit log 也更干净",[41,2125,2126,2129,2130,2132],{},[44,2127,2128],{},"每用户 session","：multi-tenant 用 ",[227,2131,1745],{}," 隔离 OAuth + workspace",[41,2134,2135,2137],{},[44,2136,1524],{},"：先看 JSON schema 文档 + 跑 unit test 验证",[41,2139,2140,2143],{},[44,2141,2142],{},"冷门集成","：先 try Free 跑 demo 确认 action coverage 够",[41,2145,2146,2149],{},[44,2147,2148],{},"fallback","：Composio 不可用要有 fallback（重试 + 备用 SDK）",[41,2151,2152,2155],{},[44,2153,2154],{},"数据零云需求","：用 MCP server 自托管，不要用 Composio",[41,2157,2158,2161],{},[44,2159,2160],{},"国内访问","：CDN 海外，国内 production 用 proxy \u002F 反代",[41,2163,2164,2167],{},[44,2165,2166],{},"rate limit","：每个 SaaS 还有自己的 rate limit，Composio 不替你解决",[41,2169,2170,2173],{},[44,2171,2172],{},"vendor lock","：业务核心要做迁移预案（abstract OAuth 层）",[23,2175,645],{"id":644},[38,2177,2178,2181,2184,2187,2190,2193,2196,2199,2202],{},[41,2179,2180],{},"✅ 要造 agent 接多 SaaS 工具",[41,2182,2183],{},"✅ OAuth \u002F token refresh \u002F 错误重试不想自写",[41,2185,2186],{},"✅ 多框架兼容（不锁定）",[41,2188,2189],{},"✅ 企业 + 合规 + audit log",[41,2191,2192],{},"✅ 已有 MCP server 但想要更广覆盖",[41,2194,2195],{},"❌ 单一工具 high-frequency（自接 API 更便宜）",[41,2197,2198],{},"❌ 轻量 hobby project（LangChain 够用）",[41,2200,2201],{},"❌ 完全自托管 \u002F 数据零云",[41,2203,2204],{},"❌ 要 1000% 控制集成代码",[23,2206,674],{"id":674},[38,2208,2209,2215,2221],{},[41,2210,2211],{},[680,2212,2214],{"href":2213},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fsmithery","Smithery 评测",[41,2216,2217],{},[680,2218,2220],{"href":2219},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox","MCP Toolbox 评测",[41,2222,2223],{},[680,2224,683],{"href":682},[23,2226,698],{"id":698},[700,2228,2229,2236,2243,2250,2257],{},[41,2230,2231,2232],{},"Composio 官网 + Pricing ",[680,2233,2234],{"href":2234,"rel":2235},"https:\u002F\u002Fcomposio.dev",[709],[41,2237,2238,2239],{},"Tooliverse — Composio Review 2026 + 8.56\u002F10 + 295 reviews ",[680,2240,2241],{"href":2241,"rel":2242},"https:\u002F\u002Ftooliverse.ai\u002Ftools\u002Fcomposio",[709],[41,2244,2245,2246],{},"Sift AI — Composio Review 2026: Integration Platform for AI Agents ",[680,2247,2248],{"href":2248,"rel":2249},"https:\u002F\u002Fsiftaitools.com\u002Freviews\u002Fcomposio",[709],[41,2251,2252,2253],{},"Toolradar — Composio Reviews + 4.9\u002F5 ",[680,2254,2255],{"href":2255,"rel":2256},"https:\u002F\u002Ftoolradar.com\u002Ftools\u002Fcomposio",[709],[41,2258,2259,2260],{},"CrewAI Docs — Composio Tool 集成示例 + 250+ tools ",[680,2261,2262],{"href":2262,"rel":2263},"https:\u002F\u002Fdocs.crewai.com\u002Fen\u002Ftools\u002Fautomation\u002Fcomposiotool",[709],[732,2265,2266],{},"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 .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}",{"title":225,"searchDepth":255,"depth":255,"links":2268},[2269,2270,2271,2272,2273,2274,2275,2276,2277,2278],{"id":25,"depth":240,"text":26},{"id":36,"depth":240,"text":36},{"id":116,"depth":240,"text":116},{"id":1565,"depth":240,"text":1566},{"id":1629,"depth":240,"text":1630},{"id":412,"depth":240,"text":412},{"id":580,"depth":240,"text":580},{"id":644,"depth":240,"text":645},{"id":674,"depth":240,"text":674},{"id":698,"depth":240,"text":698},"protocol","\u002Fimg\u002Ftools\u002Fcomposio.webp","Composio（composio.dev）真实评测：AI agent 集成基础设施层，把『agent 接入 1000-10,000+ 真实工具』的复杂度封装为一个 SDK。差异点：1000+ pre-built 集成（GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear 等）+ 托管 OAuth（含自动 token refresh）+ 沙箱执行 + 细粒度权限 + 完整审计日志 + 框架无关（MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT 都能用）+ Python \u002F TypeScript SDK + AWS \u002F Zoom \u002F Glean 等企业客户背书。",[2283,2286,2289,2292],{"q":2284,"a":2285},"Composio 解决什么问题？","AI agent 在 production 撞墙最常见原因 = 『集成 + 认证基础设施』。每接一个工具（GitHub \u002F Slack \u002F Gmail \u002F Salesforce）要：写 OAuth flow + 保存 \u002F 刷新 token + 处理 rate limit + 写 JSON schema 给 LLM + 沙箱执行 + 错误重试。这些代码占了 agent 项目 50%+ 工程量。Composio 把这部分托管化，开发者只 import SDK 就能用 1000+ 工具，重心回到『agent 智能本身』。",{"q":2287,"a":2288},"和 MCP 是什么关系？","Composio 同时是 MCP server 提供方 + 自有 SDK。MCP 是 Anthropic 推出的开放协议，但 MCP server 仍需有人维护（GitHub MCP \u002F Slack MCP 等）。Composio 提供了 1000+ 工具的『大集合 MCP server』+ 还兼容 LangChain \u002F CrewAI \u002F OpenAI Agents SDK 等非 MCP 框架。所以可视为『MCP 协议 + 多框架原生 SDK』的双轨集成层。",{"q":2290,"a":2291},"和 LangChain native tools 怎么选？","LangChain 自带 ~200 tool，但很多是社区维护、OAuth 要自己处理、production 稳定性参差。Composio 用 1000+ 商业维护的集成 + 托管 OAuth + 企业级权限审计换更高费用。Hobby \u002F 学习项目 → LangChain native；production \u002F 多用户 \u002F 多 OAuth scope → Composio。",{"q":2293,"a":2294},"实际用起来贵不贵？","免费档对开发 \u002F 验证够用。生产部署 high-frequency 用例（如每分钟轮询 Gmail）会快速消耗 action 额度 → Growth\u002FEnterprise 起步。Tooliverse 评测明确指出『pricing scales steeply for high-frequency use cases』。低频 + 多样工具 → Composio 性价比高；高频 + 单工具 → 自接 API 更便宜。",[767],{},[2298,2299,821],"api","sdk",[2301,2304,2308],{"plan":1546,"price":781,"features":2302,"notes":2303},"全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server","开发 \u002F 试水",{"plan":1552,"price":2305,"features":2306,"notes":2307},"按 action","更高 action 限额 + 更多并发 + 细粒度权限 + 团队","生产部署",{"plan":141,"price":793,"features":2309,"notes":795},"SSO + audit + 私有部署 + SLA + 自定义工具开发 + 专属支持","Free（有月度 action 限额）\u002F Growth 按 action 量阶梯 \u002F Enterprise 联系销售",[2312],"onboarding\u002Fagent-integration-layer",[2314],"mcp-ecosystem-review",{"power":268,"ux":262,"price":262,"cn_support":255,"stability":262},{"title":1448,"description":2281},"Composio 评测 2026：AI Agent 集成中间件，1000+ 工具 + MCP",[2319,2321,2323,2325,2327],{"name":2320,"url":2234,"accessed":807},"Composio 官网",{"name":2322,"url":2241,"accessed":807},"Tooliverse — Composio Review 2026 Agent Tool Execution",{"name":2324,"url":2248,"accessed":807},"Sift AI — Composio Review 2026: Integration Platform",{"name":2326,"url":2255,"accessed":807},"Toolradar — Composio Reviews + 4.9\u002F5",{"name":2328,"url":2262,"accessed":807},"CrewAI Docs — Composio Tool 集成示例","tools\u002Fagent\u002Fprotocol\u002Fcomposio","AI Agent 集成中间件——1000+ 工具 + 托管 OAuth + 框架无关 + MCP + 沙箱执行",[2332,2333,821,2334,2335],"agent-infra","integrations","oauth","composio","Agent 开发的『集成中间件层』——免自己写 1000 个 OAuth + token refresh + JSON schema。AWS \u002F Zoom \u002F Glean 在用。要省钱 \u002F 自托管全部用 MCP server 自己接；要简单 LangChain 工具用 LangChain native tools。","jMc9lANRRNbJW8fNmFmNXe4jsDG2tveFkqmLxmDGnZs",{"id":2339,"title":2340,"alternatives":2341,"api_compatible":771,"body":2342,"category":2981,"chinese_friendly":262,"cover":2982,"description":2983,"domestic":258,"extension":751,"faq":2984,"free":258,"github":2997,"languages":2998,"lastVerified":769,"meta":3000,"models":771,"navigation":258,"notSuitable":771,"opensource":258,"path":694,"pillar":773,"platforms":3001,"priceTable":3005,"pricing":3009,"published":797,"relatedPlaybooks":3010,"relatedReviews":3012,"score":3015,"self_host":258,"seo":3016,"seoTitle":3017,"slug":14,"sources":3018,"stem":3027,"suitable":771,"tagline":3028,"tags":3029,"updated":807,"verdict":3034,"website":2943,"__hash__":3035},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[12,803,13],{"type":20,"value":2343,"toc":2969},[2344,2346,2353,2356,2358,2435,2437,2454,2458,2462,2488,2492,2518,2520,2649,2652,2660,2662,2829,2831,2890,2892,2918,2920,2934,2936,2966],[23,2345,26],{"id":25},[28,2347,2348,2349,2352],{},"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（",[227,2350,2351],{},"run_flow.py","）+ Playwright 浏览器自动化 + MCP 工具协议支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习分支 + 自定义工具基类（BaseTool）+ 多模型（GPT-4o \u002F Claude \u002F Qwen VL Plus）。零邀请码、零订阅、零供应商绑定。",[28,2354,2355],{},"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）。",[23,2357,36],{"id":36},[38,2359,2360,2369,2375,2381,2387,2393,2399,2405,2411,2417,2423,2429],{},[41,2361,2362,2365,2366,2368],{},[44,2363,2364],{},"多 agent orchestration","：",[227,2367,2351],{}," 编排多个专门 agent 协作",[41,2370,2371,2374],{},[44,2372,2373],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[41,2376,2377,2380],{},[44,2378,2379],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[41,2382,2383,2386],{},[44,2384,2385],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[41,2388,2389,2392],{},[44,2390,2391],{},"OpenManus-RL","：强化学习微调分支",[41,2394,2395,2398],{},[44,2396,2397],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[41,2400,2401,2404],{},[44,2402,2403],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[41,2406,2407,2410],{},[44,2408,2409],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[41,2412,2413,2416],{},[44,2414,2415],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[41,2418,2419,2422],{},[44,2420,2421],{},"Web UI 监控","：实时看 AI thinking process",[41,2424,2425,2428],{},[44,2426,2427],{},"任务可视化","：步骤拆解 + 执行树",[41,2430,2431,2434],{},[44,2432,2433],{},"MIT 协议","：个人 + 商用全免费",[23,2436,116],{"id":116},[38,2438,2439,2445,2448,2451],{},[41,2440,2441,2444],{},[44,2442,2443],{},"Free \u002F OSS","：$0；MIT 协议",[41,2446,2447],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[41,2449,2450],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[41,2452,2453],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[23,2455,2457],{"id":2456},"实测开发者-自托管-研究场景","实测（开发者 \u002F 自托管 \u002F 研究场景）",[28,2459,2460],{},[44,2461,157],{},[38,2463,2464,2467,2470,2473,2476,2479,2482,2485],{},[41,2465,2466],{},"52k stars 印证社区认同度 + 活跃度",[41,2468,2469],{},"MetaGPT 团队背景保证架构质量",[41,2471,2472],{},"多 agent 协作场景比单 agent 实现稳得多",[41,2474,2475],{},"Playwright 浏览器自动化非常完整",[41,2477,2478],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[41,2480,2481],{},"DataAnalysis 内置 agent 模式开箱即用",[41,2483,2484],{},"中文支持自然（Qwen VL Plus 接入）",[41,2486,2487],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[28,2489,2490],{},[44,2491,188],{},[38,2493,2494,2497,2500,2503,2506,2509,2512,2515],{},[41,2495,2496],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[41,2498,2499],{},"文档滞后新功能 1-2 个月",[41,2501,2502],{},"无官方 GUI，监控 UI 在做但不完整",[41,2504,2505],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[41,2507,2508],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[41,2510,2511],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[41,2513,2514],{},"中文 prompt 效果依赖底层模型",[41,2516,2517],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[23,2519,1017],{"id":1017},[220,2521,2523],{"className":222,"code":2522,"language":224,"meta":225,"style":225},"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",[227,2524,2525,2536,2544,2570,2582,2592,2596,2601,2612,2617,2621,2626,2633,2637,2642],{"__ignoreMap":225},[230,2526,2527,2530,2533],{"class":232,"line":233},[230,2528,2529],{"class":243},"git",[230,2531,2532],{"class":251}," clone",[230,2534,2535],{"class":251}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[230,2537,2538,2541],{"class":232,"line":240},[230,2539,2540],{"class":247},"cd",[230,2542,2543],{"class":251}," OpenManus\n",[230,2545,2546,2549,2552,2555,2558,2561,2564,2567],{"class":232,"line":255},[230,2547,2548],{"class":243},"python3.12",[230,2550,2551],{"class":247}," -m",[230,2553,2554],{"class":251}," venv",[230,2556,2557],{"class":251}," .venv",[230,2559,2560],{"class":1659}," && ",[230,2562,2563],{"class":247},"source",[230,2565,2566],{"class":251}," .venv\u002Fbin\u002Factivate",[230,2568,2569],{"class":236},"  # 或 .venv\\Scripts\\activate\n",[230,2571,2572,2574,2576,2579],{"class":232,"line":262},[230,2573,1032],{"class":243},[230,2575,1035],{"class":251},[230,2577,2578],{"class":247}," -r",[230,2580,2581],{"class":251}," requirements.txt\n",[230,2583,2584,2587,2589],{"class":232,"line":268},[230,2585,2586],{"class":243},"playwright",[230,2588,1035],{"class":251},[230,2590,2591],{"class":251}," chromium\n",[230,2593,2594],{"class":232,"line":283},[230,2595,259],{"emptyLinePlaceholder":258},[230,2597,2598],{"class":232,"line":294},[230,2599,2600],{"class":236},"# 配 LLM API\n",[230,2602,2603,2606,2609],{"class":232,"line":305},[230,2604,2605],{"class":243},"cp",[230,2607,2608],{"class":251}," config\u002Fconfig.example.toml",[230,2610,2611],{"class":251}," config\u002Fconfig.toml\n",[230,2613,2614],{"class":232,"line":319},[230,2615,2616],{"class":236},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[230,2618,2619],{"class":232,"line":329},[230,2620,259],{"emptyLinePlaceholder":258},[230,2622,2623],{"class":232,"line":339},[230,2624,2625],{"class":236},"# 单 agent 模式\n",[230,2627,2628,2630],{"class":232,"line":350},[230,2629,1668],{"class":243},[230,2631,2632],{"class":251}," main.py\n",[230,2634,2635],{"class":232,"line":361},[230,2636,259],{"emptyLinePlaceholder":258},[230,2638,2639],{"class":232,"line":367},[230,2640,2641],{"class":236},"# 多 agent 模式\n",[230,2643,2644,2646],{"class":232,"line":372},[230,2645,1668],{"class":243},[230,2647,2648],{"class":251}," run_flow.py\n",[28,2650,2651],{},"试任务示例：",[220,2653,2658],{"className":2654,"code":2656,"language":2657},[2655],"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",[227,2659,2656],{"__ignoreMap":225},[23,2661,412],{"id":412},[414,2663,2664,2681],{},[417,2665,2666],{},[420,2667,2668,2670,2672,2675,2678],{},[423,2669,425],{},[423,2671,2340],{},[423,2673,2674],{},"LangChain",[423,2676,2677],{},"AutoGPT",[423,2679,2680],{},"CrewAI",[438,2682,2683,2700,2714,2726,2741,2754,2768,2782,2799,2813],{},[420,2684,2685,2688,2691,2694,2697],{},[443,2686,2687],{},"形态",[443,2689,2690],{},"现成 agent 实现",[443,2692,2693],{},"building blocks",[443,2695,2696],{},"早期通用 agent",[443,2698,2699],{},"多 agent 框架",[420,2701,2702,2705,2708,2710,2712],{},[443,2703,2704],{},"浏览器自动化",[443,2706,2707],{},"✅ Playwright",[443,2709,1222],{},[443,2711,498],{},[443,2713,1222],{},[420,2715,2716,2718,2720,2722,2724],{},[443,2717,522],{},[443,2719,471],{},[443,2721,498],{},[443,2723,1222],{},[443,2725,1222],{},[420,2727,2728,2731,2734,2737,2739],{},[443,2729,2730],{},"多 agent",[443,2732,2733],{},"✅ orchestration",[443,2735,2736],{},"需自搭",[443,2738,451],{},[443,2740,464],{},[420,2742,2743,2746,2748,2750,2752],{},[443,2744,2745],{},"DataAnalysis 内置",[443,2747,471],{},[443,2749,1222],{},[443,2751,1222],{},[443,2753,1222],{},[420,2755,2756,2759,2762,2764,2766],{},[443,2757,2758],{},"RL 微调",[443,2760,2761],{},"✅ OpenManus-RL",[443,2763,1222],{},[443,2765,1222],{},[443,2767,1222],{},[420,2769,2770,2773,2776,2778,2780],{},[443,2771,2772],{},"协议",[443,2774,2775],{},"MIT",[443,2777,2775],{},[443,2779,2775],{},[443,2781,2775],{},[420,2783,2784,2787,2790,2793,2796],{},[443,2785,2786],{},"Stars",[443,2788,2789],{},"52k+",[443,2791,2792],{},"100k+",[443,2794,2795],{},"170k+",[443,2797,2798],{},"30k+",[420,2800,2801,2803,2806,2809,2811],{},[443,2802,1017],{},[443,2804,2805],{},"中",[443,2807,2808],{},"难",[443,2810,2805],{},[443,2812,2805],{},[420,2814,2815,2817,2820,2823,2826],{},[443,2816,565],{},[443,2818,2819],{},"自托管 Manus 复刻",[443,2821,2822],{},"底层 framework",[443,2824,2825],{},"学习经典",[443,2827,2828],{},"多 agent 协作",[23,2830,580],{"id":580},[38,2832,2833,2839,2849,2855,2861,2867,2873,2879,2884],{},[41,2834,2835,2838],{},[44,2836,2837],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[41,2840,2841,2844,2845,2848],{},[44,2842,2843],{},"Playwright 依赖大","：首次 ",[227,2846,2847],{},"playwright install"," 下 chromium 慢，国内走镜像",[41,2850,2851,2854],{},[44,2852,2853],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[41,2856,2857,2860],{},[44,2858,2859],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[41,2862,2863,2866],{},[44,2864,2865],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[41,2868,2869,2872],{},[44,2870,2871],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[41,2874,2875,2878],{},[44,2876,2877],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[41,2880,2881,2883],{},[44,2882,1512],{},"：信任来源很重要，能访问的目录 \u002F 工具要审慎",[41,2885,2886,2889],{},[44,2887,2888],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[23,2891,645],{"id":644},[38,2893,2894,2897,2900,2903,2906,2909,2912,2915],{},[41,2895,2896],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[41,2898,2899],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[41,2901,2902],{},"✅ 隐私敏感 + 不愿数据上商业云",[41,2904,2905],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[41,2907,2908],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[41,2910,2911],{},"❌ 要 GUI \u002F 上手即用",[41,2913,2914],{},"❌ 生产级稳定（文档滞后 + 演进快）",[41,2916,2917],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[23,2919,674],{"id":674},[38,2921,2922,2926,2930],{},[41,2923,2924],{},[680,2925,683],{"href":682},[41,2927,2928],{},[680,2929,1333],{"href":772},[41,2931,2932],{},[680,2933,689],{"href":688},[23,2935,698],{"id":698},[700,2937,2938,2945,2952,2959],{},[41,2939,2940,2941],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[680,2942,2943],{"href":2943,"rel":2944},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[709],[41,2946,2947,2948],{},"Foundation Agents — OpenManus 项目介绍 ",[680,2949,2950],{"href":2950,"rel":2951},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[709],[41,2953,2954,2955],{},"Toolsverse — OpenManus 评测 + 52k stars ",[680,2956,2957],{"href":2957,"rel":2958},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[709],[41,2960,2961,2962],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[680,2963,2964],{"href":2964,"rel":2965},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[709],[732,2967,2968],{},"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":225,"searchDepth":255,"depth":255,"links":2970},[2971,2972,2973,2974,2975,2976,2977,2978,2979,2980],{"id":25,"depth":240,"text":26},{"id":36,"depth":240,"text":36},{"id":116,"depth":240,"text":116},{"id":2456,"depth":240,"text":2457},{"id":1017,"depth":240,"text":1017},{"id":412,"depth":240,"text":412},{"id":580,"depth":240,"text":580},{"id":644,"depth":240,"text":645},{"id":674,"depth":240,"text":674},{"id":698,"depth":240,"text":698},"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。",[2985,2988,2991,2994],{"q":2986,"a":2987},"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":2989,"a":2990},"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":2992,"a":2993},"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":2995,"a":2996},"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",[767,2999,768],"zh",{},[3002,3003,3004,271],"linux","macos","windows",[3006],{"plan":2443,"price":781,"features":3007,"notes":3008},"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）",[3011],"onboarding\u002Fopen-source-general-agent",[3013,3014],"openhuman-deep-review","openmanus-deep-review",{"power":268,"ux":255,"price":268,"cn_support":262,"stability":255},{"title":2340,"description":2983},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[3019,3021,3023,3025],{"name":3020,"url":2943,"accessed":807},"OpenManus GitHub（FoundationAgents 组织）",{"name":3022,"url":2950,"accessed":807},"Foundation Agents — OpenManus 项目介绍",{"name":3024,"url":2957,"accessed":807},"Toolsverse — OpenManus 评测 + 52k stars",{"name":3026,"url":2964,"accessed":807},"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",[817,3030,3031,821,3032,3033],"multi-agent","browser-automation","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","5TwlOpKjDlHE7VP3NOnKbK6cSvuhiuEGCwNeO95P6pY",1785660639510]