[{"data":1,"prerenderedAt":3036},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-langflow":8,"alt-list-langflow":720},{"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":22,"category":644,"chinese_friendly":256,"cover":645,"description":646,"domestic":647,"extension":648,"faq":649,"free":271,"github":662,"languages":663,"lastVerified":666,"meta":667,"models":668,"navigation":271,"notSuitable":668,"opensource":271,"path":669,"pillar":670,"platforms":671,"priceTable":675,"pricing":691,"published":692,"relatedPlaybooks":693,"relatedReviews":668,"score":695,"self_host":271,"seo":696,"seoTitle":697,"slug":698,"sources":699,"stem":710,"suitable":668,"tagline":711,"tags":712,"updated":703,"verdict":718,"website":702,"__hash__":719},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md","Langflow",[12,13,14],"agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio","agent\u002Fgeneral\u002Fopenmanus",[16,17,18,19,20,21],"OpenAI","Anthropic","百度文心","阿里通义","Moonshot Kimi","DeepSeek",{"type":23,"value":24,"toc":632},"minimark",[25,30,34,37,40,117,120,146,152,156,161,187,192,218,221,297,300,324,327,481,484,540,544,570,573,594,597,628],[26,27,29],"h2",{"id":28},"tldr","TL;DR",[31,32,33],"p",{},"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。",[31,35,36],{},"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）。",[26,38,39],{"id":39},"核心能力",[41,42,43,51,57,63,69,75,81,87,93,99,105,111],"ul",{},[44,45,46,50],"li",{},[47,48,49],"strong",{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[44,52,53,56],{},[47,54,55],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[44,58,59,62],{},[47,60,61],{},"多 agent 工作流","：编排多 agent 协作",[44,64,65,68],{},[47,66,67],{},"Python 下钻","：任意节点可写 custom Python",[44,70,71,74],{},[47,72,73],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[44,76,77,80],{},[47,78,79],{},"API 部署","：流程一键导出为 REST API",[44,82,83,86],{},[47,84,85],{},"Real-time collaboration","：多用户同 project",[44,88,89,92],{},[47,90,91],{},"版本控制","：内置 versioning + revert",[44,94,95,98],{},[47,96,97],{},"数据可视化","：node output \u002F data flow 可视化调试",[44,100,101,104],{},[47,102,103],{},"角色权限","：user auth + RBAC",[44,106,107,110],{},[47,108,109],{},"Docker \u002F pip 安装","：5 分钟启动",[44,112,113,116],{},[47,114,115],{},"Astra-hosted cloud","：DataStax 托管选项",[26,118,119],{"id":119},"价格",[41,121,122,128,134,140],{},[44,123,124,127],{},[47,125,126],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[44,129,130,133],{},[47,131,132],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[44,135,136,139],{},[47,137,138],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[44,141,142,145],{},[47,143,144],{},"Enterprise","：联系销售；SSO + audit + 私有部署 + SLA",[147,148,149],"blockquote",{},[31,150,151],{},"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。",[26,153,155],{"id":154},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[31,157,158],{},[47,159,160],{},"亮点：",[41,162,163,166,169,172,175,178,181,184],{},[44,164,165],{},"画布直观，比纯写 LangChain 协作效率高 5x",[44,167,168],{},"节点下钻到 Python 让灵活度不被画布限制",[44,170,171],{},"Astra DB 集成省了配 vector store 时间",[44,173,174],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[44,176,177],{},"开源 + 自托管 + 数据驻留满足合规",[44,179,180],{},"多 agent 编排比裸 LangChain 调试容易",[44,182,183],{},"RAG pipeline 模板一键起 demo",[44,185,186],{},"与 DataStax 长期支持降低 abandon ware 风险",[31,188,189],{},[47,190,191],{},"踩坑：",[41,193,194,197,200,203,206,209,212,215],{},[44,195,196],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[44,198,199],{},"第三方 API 依赖：external API 失败时错误处理弱",[44,201,202],{},"production readiness 不算 mission-critical（要自加 observability）",[44,204,205],{},"LangChain 升级偶尔 break 旧 flow",[44,207,208],{},"文档对新组件滞后 1-2 月",[44,210,211],{},"中文 UI 不完整，业务侧用户上手陡",[44,213,214],{},"大型 flow（100+ 节点）画布卡顿",[44,216,217],{},"多人协作偶发同步冲突",[26,219,220],{"id":220},"上手",[222,223,228],"pre",{"className":224,"code":225,"language":226,"meta":227,"style":227},"language-bash shiki shiki-themes github-light github-dark","# 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","bash","",[229,230,231,240,254,266,273,279],"code",{"__ignoreMap":227},[232,233,236],"span",{"class":234,"line":235},"line",1,[232,237,239],{"class":238},"sJ8bj","# pip 安装\n",[232,241,243,247,251],{"class":234,"line":242},2,[232,244,246],{"class":245},"sScJk","pip",[232,248,250],{"class":249},"sZZnC"," install",[232,252,253],{"class":249}," langflow\n",[232,255,257,260,263],{"class":234,"line":256},3,[232,258,259],{"class":245},"langflow",[232,261,262],{"class":249}," run",[232,264,265],{"class":238},"  # http:\u002F\u002Flocalhost:7860\n",[232,267,269],{"class":234,"line":268},4,[232,270,272],{"emptyLinePlaceholder":271},true,"\n",[232,274,276],{"class":234,"line":275},5,[232,277,278],{"class":238},"# 或 Docker\n",[232,280,282,285,287,291,294],{"class":234,"line":281},6,[232,283,284],{"class":245},"docker",[232,286,262],{"class":249},[232,288,290],{"class":289},"sj4cs"," -p",[232,292,293],{"class":249}," 7860:7860",[232,295,296],{"class":249}," langflowai\u002Flangflow:latest\n",[31,298,299],{},"试 RAG 流：",[301,302,303,306,309,312,315,318,321],"ol",{},[44,304,305],{},"新建 flow → 选 Document QA 模板",[44,307,308],{},"Document Loader 节点 → 上传 PDF",[44,310,311],{},"Splitter → Embedder（OpenAI 或本地）",[44,313,314],{},"VectorStore（Astra \u002F Chroma）",[44,316,317],{},"Retriever + ChatOpenAI → Chat Output",[44,319,320],{},"部署为 API → 拿到 endpoint",[44,322,323],{},"复杂场景下钻节点写 Python 自定义",[26,325,326],{"id":326},"对比",[328,329,330,351],"table",{},[331,332,333],"thead",{},[334,335,336,340,342,345,348],"tr",{},[337,338,339],"th",{},"维度",[337,341,10],{},[337,343,344],{},"Dify",[337,346,347],{},"n8n",[337,349,350],{},"Flowise",[352,353,354,372,388,404,418,434,447,464],"tbody",{},[334,355,356,360,363,366,369],{},[357,358,359],"td",{},"中心",[357,361,362],{},"LangChain primitive",[357,364,365],{},"LLMOps 全平台",[357,367,368],{},"通用 workflow",[357,370,371],{},"LangChain（JS）",[334,373,374,377,380,383,386],{},[357,375,376],{},"开源",[357,378,379],{},"✅ MIT",[357,381,382],{},"✅ AGPL",[357,384,385],{},"✅ Sustainable",[357,387,379],{},[334,389,390,393,396,399,401],{},[357,391,392],{},"自托管",[357,394,395],{},"✅ pip\u002FDocker",[357,397,398],{},"✅ Docker",[357,400,398],{},[357,402,403],{},"✅",[334,405,406,409,412,414,416],{},[357,407,408],{},"可视化",[357,410,411],{},"✅ 旗舰",[357,413,403],{},[357,415,403],{},[357,417,403],{},[334,419,420,423,426,429,432],{},[357,421,422],{},"代码下钻",[357,424,425],{},"✅ Python",[357,427,428],{},"部分",[357,430,431],{},"✅ JS",[357,433,431],{},[334,435,436,439,441,443,445],{},[357,437,438],{},"RAG 内置",[357,440,403],{},[357,442,403],{},[357,444,428],{},[357,446,403],{},[334,448,449,452,455,458,461],{},[357,450,451],{},"起价（云）",[357,453,454],{},"$25\u002F月",[357,456,457],{},"$59\u002F月（Team）",[357,459,460],{},"自托管 $0",[357,462,463],{},"–",[334,465,466,469,472,475,478],{},[357,467,468],{},"适合",[357,470,471],{},"工程 + LangChain",[357,473,474],{},"业务 + LLMOps",[357,476,477],{},"通用自动化",[357,479,480],{},"JS 生态",[26,482,483],{"id":483},"避坑",[41,485,486,492,498,504,510,516,522,528,534],{},[44,487,488,491],{},[47,489,490],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[44,493,494,497],{},[47,495,496],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[44,499,500,503],{},[47,501,502],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[44,505,506,509],{},[47,507,508],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[44,511,512,515],{},[47,513,514],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[44,517,518,521],{},[47,519,520],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[44,523,524,527],{},[47,525,526],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[44,529,530,533],{},[47,531,532],{},"中文场景","：UI 英文为主，业务侧用户先培训",[44,535,536,539],{},[47,537,538],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[26,541,543],{"id":542},"适合-不适合","适合 \u002F 不适合",[41,545,546,549,552,555,558,561,564,567],{},[44,547,548],{},"✅ 工程团队要可视化建 LangChain 流",[44,550,551],{},"✅ 合规 \u002F 数据驻留要求自托管",[44,553,554],{},"✅ 要 Astra DB 一站式 RAG",[44,556,557],{},"✅ Python 团队 + 想画布 + 想下钻代码",[44,559,560],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[44,562,563],{},"❌ 纯无代码偏好",[44,565,566],{},"❌ 轻量场景 + 直接写 LangChain 更快",[44,568,569],{},"❌ JS 生态优先（用 Flowise）",[26,571,572],{"id":572},"相关阅读",[41,574,575,582,588],{},[44,576,577],{},[578,579,581],"a",{"href":580},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[44,583,584],{},[578,585,587],{"href":586},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[44,589,590],{},[578,591,593],{"href":592},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus","OpenManus 评测",[26,595,596],{"id":596},"来源",[301,598,599,607,614,621],{},[44,600,601,602],{},"Langflow 官网 + 定价 ",[578,603,604],{"href":604,"rel":605},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[606],"nofollow",[44,608,609,610],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[578,611,612],{"href":612,"rel":613},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[606],[44,615,616,617],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[578,618,619],{"href":619,"rel":620},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[606],[44,622,623,624],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[578,625,626],{"href":626,"rel":627},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[606],[629,630,631],"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 .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":227,"searchDepth":256,"depth":256,"links":633},[634,635,636,637,638,639,640,641,642,643],{"id":28,"depth":242,"text":29},{"id":39,"depth":242,"text":39},{"id":119,"depth":242,"text":119},{"id":154,"depth":242,"text":155},{"id":220,"depth":242,"text":220},{"id":326,"depth":242,"text":326},{"id":483,"depth":242,"text":483},{"id":542,"depth":242,"text":543},{"id":572,"depth":242,"text":572},{"id":596,"depth":242,"text":596},"platform","\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。",false,"md",[650,653,656,659],{"q":651,"a":652},"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":654,"a":655},"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":657,"a":658},"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":660,"a":661},"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",[664,665],"en","multi","2026-08-02",{},null,"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","agent",[672,673,284,674],"self-host","cloud","web",[676,680,683,687],{"plan":126,"price":677,"features":678,"notes":679},"$0","MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":132,"price":677,"features":681,"notes":682},"DataStax 托管 + 小流量","试水",{"plan":138,"price":684,"features":685,"notes":686},"~$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":144,"price":688,"features":689,"notes":690},"联系销售","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）","2026-06-19",[694],"onboarding\u002Frag-app-workflow",{"power":268,"ux":275,"price":275,"cn_support":256,"stability":268},{"title":10,"description":646},"Langflow 评测 2026：可视化 AI 工作流构建工具，LangChain 低代码平台","agent\u002Fplatform\u002Flangflow",[700,704,706,708],{"name":701,"url":702,"accessed":703},"Langflow 官网","https:\u002F\u002Fwww.langflow.org","2026-06-24",{"name":705,"url":612,"accessed":703},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":707,"url":619,"accessed":703},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":709,"url":626,"accessed":703},"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",[713,714,715,716,717,259],"opensource","visual-builder","langchain","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",[721,1446,2338],{"id":722,"title":347,"alternatives":723,"api_compatible":724,"body":726,"category":644,"chinese_friendly":256,"cover":1388,"description":1389,"domestic":647,"extension":648,"faq":1390,"free":271,"github":1403,"languages":1404,"lastVerified":666,"meta":1405,"models":668,"navigation":271,"notSuitable":668,"opensource":271,"path":580,"pillar":670,"platforms":1406,"priceTable":1407,"pricing":1423,"published":692,"relatedPlaybooks":1424,"relatedReviews":668,"score":1426,"self_host":271,"seo":1427,"seoTitle":1428,"slug":12,"sources":1429,"stem":1438,"suitable":668,"tagline":1439,"tags":1440,"updated":703,"verdict":1444,"website":1350,"__hash__":1445},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[698,13,14],[16,17,725],"Google",{"type":23,"value":727,"toc":1376},[728,730,733,736,738,812,814,839,844,848,852,878,882,908,912,1047,1050,1078,1081,1083,1233,1235,1296,1298,1324,1326,1341,1343,1373],[26,729,29],{"id":28},[31,731,732],{},"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。",[31,734,735],{},"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）。",[26,737,39],{"id":39},[41,739,740,746,752,758,764,770,776,782,788,794,800,806],{},[44,741,742,745],{},[47,743,744],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[44,747,748,751],{},[47,749,750],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[44,753,754,757],{},[47,755,756],{},"原生 MCP","：MCP server 一键挂载到 agent",[44,759,760,763],{},[47,761,762],{},"Ollama 集成","：本地 LLM 零 API 成本",[44,765,766,769],{},[47,767,768],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[44,771,772,775],{},[47,773,774],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[44,777,778,781],{},[47,779,780],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[44,783,784,787],{},[47,785,786],{},"多分支并行 + 错误处理","：production workflow 必备",[44,789,790,793],{},[47,791,792],{},"版本控制 + Git Sync","：workflow as code",[44,795,796,799],{},[47,797,798],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[44,801,802,805],{},[47,803,804],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[44,807,808,811],{},[47,809,810],{},"5800+ 社区 workflow","：clone 即用",[26,813,119],{"id":119},[41,815,816,822,828,834],{},[44,817,818,821],{},[47,819,820],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[44,823,824,827],{},[47,825,826],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[44,829,830,833],{},[47,831,832],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[44,835,836,838],{},[47,837,144],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[147,840,841],{},[31,842,843],{},"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。",[26,845,847],{"id":846},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[31,849,850],{},[47,851,160],{},[41,853,854,857,860,863,866,869,872,875],{},[44,855,856],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[44,858,859],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[44,861,862],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[44,864,865],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[44,867,868],{},"5800+ 社区 workflow 节省 80% 上手时间",[44,870,871],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[44,873,874],{},"升级 Docker tag 一行，无 vendor 升级费",[44,876,877],{},"中文社区 \u002F B 站教程丰富",[31,879,880],{},[47,881,191],{},[41,883,884,887,890,893,896,899,902,905],{},[44,885,886],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[44,888,889],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[44,891,892],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[44,894,895],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[44,897,898],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[44,900,901],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[44,903,904],{},"Webhook 公网暴露要加 IP 白名单 + secret",[44,906,907],{},"Worker 模式才能并发，单进程吞吐有限",[26,909,911],{"id":910},"上手docker-5-分钟","上手（Docker 5 分钟）",[222,913,915],{"className":224,"code":914,"language":226,"meta":227,"style":227},"# 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",[229,916,917,922,932,936,941,953,963,974,988,998,1008,1019,1030,1036,1041],{"__ignoreMap":227},[232,918,919],{"class":234,"line":235},[232,920,921],{"class":238},"# 持久化目录\n",[232,923,924,927,929],{"class":234,"line":242},[232,925,926],{"class":245},"mkdir",[232,928,290],{"class":289},[232,930,931],{"class":249}," ~\u002Fn8n-data\n",[232,933,934],{"class":234,"line":256},[232,935,272],{"emptyLinePlaceholder":271},[232,937,938],{"class":234,"line":268},[232,939,940],{"class":238},"# 启动\n",[232,942,943,945,947,950],{"class":234,"line":275},[232,944,284],{"class":245},[232,946,262],{"class":249},[232,948,949],{"class":289}," -d",[232,951,952],{"class":289}," \\\n",[232,954,955,958,961],{"class":234,"line":281},[232,956,957],{"class":289},"  --name",[232,959,960],{"class":249}," n8n",[232,962,952],{"class":289},[232,964,966,969,972],{"class":234,"line":965},7,[232,967,968],{"class":289},"  -p",[232,970,971],{"class":249}," 5678:5678",[232,973,952],{"class":289},[232,975,977,980,983,986],{"class":234,"line":976},8,[232,978,979],{"class":289},"  -e",[232,981,982],{"class":249}," N8N_BASIC_AUTH_ACTIVE=",[232,984,985],{"class":289},"true",[232,987,952],{"class":289},[232,989,991,993,996],{"class":234,"line":990},9,[232,992,979],{"class":289},[232,994,995],{"class":249}," N8N_BASIC_AUTH_USER=admin",[232,997,952],{"class":289},[232,999,1001,1003,1006],{"class":234,"line":1000},10,[232,1002,979],{"class":289},[232,1004,1005],{"class":249}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[232,1007,952],{"class":289},[232,1009,1011,1014,1017],{"class":234,"line":1010},11,[232,1012,1013],{"class":289},"  -v",[232,1015,1016],{"class":249}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[232,1018,952],{"class":289},[232,1020,1022,1025,1028],{"class":234,"line":1021},12,[232,1023,1024],{"class":289},"  --restart",[232,1026,1027],{"class":249}," always",[232,1029,952],{"class":289},[232,1031,1033],{"class":234,"line":1032},13,[232,1034,1035],{"class":249},"  n8nio\u002Fn8n\n",[232,1037,1039],{"class":234,"line":1038},14,[232,1040,272],{"emptyLinePlaceholder":271},[232,1042,1044],{"class":234,"line":1043},15,[232,1045,1046],{"class":238},"# http:\u002F\u002Flocalhost:5678\n",[31,1048,1049],{},"连 Ollama：",[222,1051,1053],{"className":224,"code":1052,"language":226,"meta":227,"style":227},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[229,1054,1055,1063,1073],{"__ignoreMap":227},[232,1056,1057,1060],{"class":234,"line":235},[232,1058,1059],{"class":245},"ollama",[232,1061,1062],{"class":249}," serve\n",[232,1064,1065,1067,1070],{"class":234,"line":242},[232,1066,1059],{"class":245},[232,1068,1069],{"class":249}," pull",[232,1071,1072],{"class":249}," llama3.2\n",[232,1074,1075],{"class":234,"line":256},[232,1076,1077],{"class":238},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[31,1079,1080],{},"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。",[26,1082,326],{"id":326},[328,1084,1085,1101],{},[331,1086,1087],{},[334,1088,1089,1091,1093,1096,1099],{},[337,1090,339],{},[337,1092,347],{},[337,1094,1095],{},"Zapier",[337,1097,1098],{},"Make",[337,1100,10],{},[352,1102,1103,1117,1129,1146,1159,1174,1187,1201,1217],{},[334,1104,1105,1107,1110,1113,1115],{},[357,1106,376],{},[357,1108,1109],{},"✅ fair-code",[357,1111,1112],{},"❌",[357,1114,1112],{},[357,1116,379],{},[334,1118,1119,1121,1123,1125,1127],{},[357,1120,392],{},[357,1122,411],{},[357,1124,1112],{},[357,1126,1112],{},[357,1128,403],{},[334,1130,1131,1134,1137,1140,1143],{},[357,1132,1133],{},"集成数",[357,1135,1136],{},"400+",[357,1138,1139],{},"8000+",[357,1141,1142],{},"2000+",[357,1144,1145],{},"LangChain 原语",[334,1147,1148,1151,1153,1155,1157],{},[357,1149,1150],{},"AI Agent",[357,1152,411],{},[357,1154,428],{},[357,1156,428],{},[357,1158,403],{},[334,1160,1161,1164,1167,1169,1171],{},[357,1162,1163],{},"LangChain 节点",[357,1165,1166],{},"✅ 70 个",[357,1168,1112],{},[357,1170,1112],{},[357,1172,1173],{},"✅ 原生",[334,1175,1176,1179,1181,1183,1185],{},[357,1177,1178],{},"MCP",[357,1180,1173],{},[357,1182,1112],{},[357,1184,1112],{},[357,1186,428],{},[334,1188,1189,1192,1195,1197,1199],{},[357,1190,1191],{},"Local LLM",[357,1193,1194],{},"✅ Ollama",[357,1196,1112],{},[357,1198,1112],{},[357,1200,403],{},[334,1202,1203,1206,1209,1212,1215],{},[357,1204,1205],{},"起价",[357,1207,1208],{},"$0 自托管",[357,1210,1211],{},"$29.99\u002F月",[357,1213,1214],{},"$9\u002F月",[357,1216,1208],{},[334,1218,1219,1221,1224,1227,1230],{},[357,1220,468],{},[357,1222,1223],{},"开发者 + 高量级",[357,1225,1226],{},"非技术 + 简单",[357,1228,1229],{},"中等复杂",[357,1231,1232],{},"LangChain 工程",[26,1234,483],{"id":483},[41,1236,1237,1243,1249,1255,1261,1267,1273,1279,1285,1290],{},[44,1238,1239,1242],{},[47,1240,1241],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[44,1244,1245,1248],{},[47,1246,1247],{},"Worker 模式","：高并发要起 worker container 才能并行",[44,1250,1251,1254],{},[47,1252,1253],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[44,1256,1257,1260],{},[47,1258,1259],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[44,1262,1263,1266],{},[47,1264,1265],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[44,1268,1269,1272],{},[47,1270,1271],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[44,1274,1275,1278],{},[47,1276,1277],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[44,1280,1281,1284],{},[47,1282,1283],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[44,1286,1287,1289],{},[47,1288,810],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[44,1291,1292,1295],{},[47,1293,1294],{},"monitoring","：生产部署加 prometheus + 错误告警",[26,1297,543],{"id":542},[41,1299,1300,1303,1306,1309,1312,1315,1318,1321],{},[44,1301,1302],{},"✅ 开发者 + 完全控制 + 高量级自动化",[44,1304,1305],{},"✅ 从 Zapier \u002F Make 迁出降本",[44,1307,1308],{},"✅ AI Agent + LangChain + MCP 一体",[44,1310,1311],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[44,1313,1314],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[44,1316,1317],{},"❌ 完全不愿自托管 + 不想付 Cloud",[44,1319,1320],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[44,1322,1323],{},"❌ 极简 2-step 自动化（Zapier 更快）",[26,1325,572],{"id":572},[41,1327,1328,1333,1337],{},[44,1329,1330],{},[578,1331,1332],{"href":669},"Langflow 评测",[44,1334,1335],{},[578,1336,587],{"href":586},[44,1338,1339],{},[578,1340,593],{"href":592},[26,1342,596],{"id":596},[301,1344,1345,1352,1359,1366],{},[44,1346,1347,1348],{},"n8n 官网 ",[578,1349,1350],{"href":1350,"rel":1351},"https:\u002F\u002Fn8n.io",[606],[44,1353,1354,1355],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[578,1356,1357],{"href":1357,"rel":1358},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[606],[44,1360,1361,1362],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[578,1363,1364],{"href":1364,"rel":1365},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[606],[44,1367,1368,1369],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[578,1370,1371],{"href":1371,"rel":1372},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[606],[629,1374,1375],{},"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: 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":227,"searchDepth":256,"depth":256,"links":1377},[1378,1379,1380,1381,1382,1383,1384,1385,1386,1387],{"id":28,"depth":242,"text":29},{"id":39,"depth":242,"text":39},{"id":119,"depth":242,"text":119},{"id":846,"depth":242,"text":847},{"id":910,"depth":242,"text":911},{"id":326,"depth":242,"text":326},{"id":483,"depth":242,"text":483},{"id":542,"depth":242,"text":543},{"id":572,"depth":242,"text":572},{"id":596,"depth":242,"text":596},"\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。",[1391,1394,1397,1400],{"q":1392,"a":1393},"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":1395,"a":1396},"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":1398,"a":1399},"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":1401,"a":1402},"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",[664,665],{},[672,673,284,674],[1408,1412,1416,1420],{"plan":1409,"price":677,"features":1410,"notes":1411},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":826,"price":1413,"features":1414,"notes":1415},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":832,"price":1417,"features":1418,"notes":1419},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":144,"price":688,"features":1421,"notes":1422},"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",[1425],"onboarding\u002Fn8n-ollama-automation",{"power":275,"ux":268,"price":275,"cn_support":256,"stability":275},{"title":347,"description":1389},"n8n 评测 2026：开源自托管自动化平台，AI Agent 工作流首选",[1430,1432,1434,1436],{"name":1431,"url":1350,"accessed":703},"n8n 官网",{"name":1433,"url":1357,"accessed":703},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":1435,"url":1364,"accessed":703},"Tutorials Technology — n8n + AI on Linux 2026",{"name":1437,"url":1371,"accessed":703},"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",[713,1441,1442,715,1443,672,347],"workflow","automation","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",{"id":1447,"title":1448,"alternatives":1449,"api_compatible":668,"body":1452,"category":2279,"chinese_friendly":256,"cover":2280,"description":2281,"domestic":647,"extension":648,"faq":2282,"free":271,"github":668,"languages":2295,"lastVerified":666,"meta":2296,"models":668,"navigation":271,"notSuitable":668,"opensource":647,"path":586,"pillar":670,"platforms":2297,"priceTable":2300,"pricing":2310,"published":692,"relatedPlaybooks":2311,"relatedReviews":2313,"score":2315,"self_host":647,"seo":2316,"seoTitle":2317,"slug":13,"sources":2318,"stem":2329,"suitable":668,"tagline":2330,"tags":2331,"updated":703,"verdict":2336,"website":2234,"__hash__":2337},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio.md","Composio",[1450,1451,698],"agent\u002Fprotocol\u002Fsmithery","agent\u002Fprotocol\u002Fmcp-toolbox",{"type":23,"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],[26,1455,29],{"id":28},[31,1457,1458],{},"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。",[31,1460,1461],{},"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）。",[26,1463,39],{"id":39},[41,1465,1466,1472,1478,1484,1490,1496,1502,1508,1514,1520,1526,1532],{},[44,1467,1468,1471],{},[47,1469,1470],{},"1000+ pre-built 集成","：GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear \u002F Jira \u002F Google Workspace 等",[44,1473,1474,1477],{},[47,1475,1476],{},"托管 OAuth","：OAuth flow + token refresh + multi-user 全自动",[44,1479,1480,1483],{},[47,1481,1482],{},"沙箱执行","：tool call 在隔离环境跑，安全隔离",[44,1485,1486,1489],{},[47,1487,1488],{},"action-level 权限","：可精确控制 agent 能做什么（read-only \u002F write \u002F admin）",[44,1491,1492,1495],{},[47,1493,1494],{},"审计日志","：每次 tool call 完整记录（timestamp \u002F user \u002F args \u002F result）",[44,1497,1498,1501],{},[47,1499,1500],{},"框架无关","：MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT",[44,1503,1504,1507],{},[47,1505,1506],{},"Python + TypeScript SDK","：主流 agent 栈都能用",[44,1509,1510,1513],{},[47,1511,1512],{},"MCP server","：1000+ 工具统一 MCP 入口",[44,1515,1516,1519],{},[47,1517,1518],{},"多用户 session","：per-user OAuth + 隔离 workspace",[44,1521,1522,1525],{},[47,1523,1524],{},"自定义工具","：BaseTool 扩展 + JSON schema 验证",[44,1527,1528,1531],{},[47,1529,1530],{},"企业能力","：SSO \u002F audit \u002F SLA \u002F 私有部署",[44,1533,1534,1537],{},[47,1535,1536],{},"AWS \u002F Zoom \u002F Glean 客户","：production 验证",[26,1539,119],{"id":119},[41,1541,1542,1548,1554],{},[44,1543,1544,1547],{},[47,1545,1546],{},"Free","：$0；全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server",[44,1549,1550,1553],{},[47,1551,1552],{},"Growth","：按 action 量阶梯；更高额度 + 团队",[44,1555,1556,145],{},[47,1557,144],{},[147,1559,1560],{},[31,1561,1562],{},"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。",[26,1564,1566],{"id":1565},"实测agent-接入多-saas","实测（agent 接入多 SaaS）",[31,1568,1569],{},[47,1570,160],{},[41,1572,1573,1576,1579,1582,1585,1588,1591,1594],{},[44,1574,1575],{},"集成宽度（1000+）业内最广",[44,1577,1578],{},"OAuth 全托管省 50% 工程量",[44,1580,1581],{},"一份 SDK 跑通 CrewAI \u002F LangChain \u002F OpenAI Agents SDK",[44,1583,1584],{},"沙箱执行 + audit log 让企业合规过关",[44,1586,1587],{},"AWS \u002F Zoom \u002F Glean 等大客户 = production-grade 信号",[44,1589,1590],{},"Tooliverse 8.56\u002F10、Toolradar 4.9\u002F5（295 reviews）",[44,1592,1593],{},"5 分钟可让 CrewAI agent 在 GitHub 上 star 一个 repo",[44,1595,1596],{},"self-healing tool execution（自动重试 + 错误处理）",[31,1598,1599],{},[47,1600,191],{},[41,1602,1603,1606,1609,1612,1615,1618,1621,1624],{},[44,1604,1605],{},"文档『can lag behind rapid feature releases』",[44,1607,1608],{},"pricing scales steeply for high-frequency use cases",[44,1610,1611],{},"自定义工具要『master schema validation that documentation doesn't fully demystify』",[44,1613,1614],{},"冷门集成 action coverage 浅，只支持基础 CRUD",[44,1616,1617],{},"数据完全 SaaS 化，零云需求不能用",[44,1619,1620],{},"国内访问偶发慢（CDN 在海外）",[44,1622,1623],{},"Free 档 action 限额对生产 hobby 也容易撞顶",[44,1625,1626],{},"vendor lock-in：迁移要重写 OAuth 层",[26,1628,1630],{"id":1629},"上手crewai-5-分钟","上手（CrewAI 5 分钟）",[222,1632,1634],{"className":224,"code":1633,"language":226,"meta":227,"style":227},"pip install composio composio-crewai crewai\nexport COMPOSIO_API_KEY=***\n",[229,1635,1636,1651],{"__ignoreMap":227},[232,1637,1638,1640,1642,1645,1648],{"class":234,"line":235},[232,1639,246],{"class":245},[232,1641,250],{"class":249},[232,1643,1644],{"class":249}," composio",[232,1646,1647],{"class":249}," composio-crewai",[232,1649,1650],{"class":249}," crewai\n",[232,1652,1653,1657,1661],{"class":234,"line":242},[232,1654,1656],{"class":1655},"szBVR","export",[232,1658,1660],{"class":1659},"sVt8B"," COMPOSIO_API_KEY",[232,1662,1663],{"class":1655},"=***\n",[222,1665,1669],{"className":1666,"code":1667,"language":1668,"meta":227,"style":227},"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",[229,1670,1671,1685,1697,1709,1713,1733,1773,1783,1787,1792,1807,1835,1839,1849,1862,1874,1893,1898,1936],{"__ignoreMap":227},[232,1672,1673,1676,1679,1682],{"class":234,"line":235},[232,1674,1675],{"class":1655},"from",[232,1677,1678],{"class":1659}," composio_crewai ",[232,1680,1681],{"class":1655},"import",[232,1683,1684],{"class":1659}," ComposioProvider\n",[232,1686,1687,1689,1692,1694],{"class":234,"line":242},[232,1688,1675],{"class":1655},[232,1690,1691],{"class":1659}," composio ",[232,1693,1681],{"class":1655},[232,1695,1696],{"class":1659}," Composio\n",[232,1698,1699,1701,1704,1706],{"class":234,"line":256},[232,1700,1675],{"class":1655},[232,1702,1703],{"class":1659}," crewai ",[232,1705,1681],{"class":1655},[232,1707,1708],{"class":1659}," Agent, Task, Crew\n",[232,1710,1711],{"class":234,"line":268},[232,1712,272],{"emptyLinePlaceholder":271},[232,1714,1715,1718,1721,1724,1728,1730],{"class":234,"line":275},[232,1716,1717],{"class":1659},"composio ",[232,1719,1720],{"class":1655},"=",[232,1722,1723],{"class":1659}," Composio(",[232,1725,1727],{"class":1726},"s4XuR","provider",[232,1729,1720],{"class":1655},[232,1731,1732],{"class":1659},"ComposioProvider())\n",[232,1734,1735,1738,1740,1743,1746,1748,1751,1754,1757,1759,1762,1765,1767,1770],{"class":234,"line":281},[232,1736,1737],{"class":1659},"session ",[232,1739,1720],{"class":1655},[232,1741,1742],{"class":1659}," composio.create(",[232,1744,1745],{"class":1726},"user_id",[232,1747,1720],{"class":1655},[232,1749,1750],{"class":249},"\"alice\"",[232,1752,1753],{"class":1659},", ",[232,1755,1756],{"class":1726},"toolkits",[232,1758,1720],{"class":1655},[232,1760,1761],{"class":1659},"[",[232,1763,1764],{"class":249},"\"github\"",[232,1766,1753],{"class":1659},[232,1768,1769],{"class":249},"\"gmail\"",[232,1771,1772],{"class":1659},"])\n",[232,1774,1775,1778,1780],{"class":234,"line":965},[232,1776,1777],{"class":1659},"tools ",[232,1779,1720],{"class":1655},[232,1781,1782],{"class":1659}," session.tools()\n",[232,1784,1785],{"class":234,"line":976},[232,1786,272],{"emptyLinePlaceholder":271},[232,1788,1789],{"class":234,"line":990},[232,1790,1791],{"class":238},"# 手动授权（首次）\n",[232,1793,1794,1797,1799,1802,1804],{"class":234,"line":1000},[232,1795,1796],{"class":1659},"auth ",[232,1798,1720],{"class":1655},[232,1800,1801],{"class":1659}," session.authorize(",[232,1803,1764],{"class":249},[232,1805,1806],{"class":1659},")\n",[232,1808,1809,1812,1815,1818,1821,1824,1827,1830,1833],{"class":234,"line":1010},[232,1810,1811],{"class":289},"print",[232,1813,1814],{"class":1659},"(",[232,1816,1817],{"class":1655},"f",[232,1819,1820],{"class":249},"\"Visit: ",[232,1822,1823],{"class":289},"{",[232,1825,1826],{"class":1659},"auth.redirect_url",[232,1828,1829],{"class":289},"}",[232,1831,1832],{"class":249},"\"",[232,1834,1806],{"class":1659},[232,1836,1837],{"class":234,"line":1021},[232,1838,272],{"emptyLinePlaceholder":271},[232,1840,1841,1844,1846],{"class":234,"line":1032},[232,1842,1843],{"class":1659},"agent ",[232,1845,1720],{"class":1655},[232,1847,1848],{"class":1659}," Agent(\n",[232,1850,1851,1854,1856,1859],{"class":234,"line":1038},[232,1852,1853],{"class":1726},"    role",[232,1855,1720],{"class":1655},[232,1857,1858],{"class":249},"\"GitHub Agent\"",[232,1860,1861],{"class":1659},",\n",[232,1863,1864,1867,1869,1872],{"class":234,"line":1043},[232,1865,1866],{"class":1726},"    goal",[232,1868,1720],{"class":1655},[232,1870,1871],{"class":249},"\"Star repos on behalf of users\"",[232,1873,1861],{"class":1659},[232,1875,1877,1880,1882,1885,1888,1890],{"class":234,"line":1876},16,[232,1878,1879],{"class":1726},"    tools",[232,1881,1720],{"class":1655},[232,1883,1884],{"class":1659},"tools, ",[232,1886,1887],{"class":1726},"llm",[232,1889,1720],{"class":1655},[232,1891,1892],{"class":289},"...\n",[232,1894,1896],{"class":234,"line":1895},17,[232,1897,1806],{"class":1659},[232,1899,1901,1904,1906,1909,1912,1914,1917,1919,1921,1923,1926,1929,1931,1934],{"class":234,"line":1900},18,[232,1902,1903],{"class":1659},"task ",[232,1905,1720],{"class":1655},[232,1907,1908],{"class":1659}," Task(",[232,1910,1911],{"class":1726},"description",[232,1913,1720],{"class":1655},[232,1915,1916],{"class":249},"\"Star composiohq\u002Fcomposio\"",[232,1918,1753],{"class":1659},[232,1920,670],{"class":1726},[232,1922,1720],{"class":1655},[232,1924,1925],{"class":1659},"agent, ",[232,1927,1928],{"class":1726},"expected_output",[232,1930,1720],{"class":1655},[232,1932,1933],{"class":249},"\"done\"",[232,1935,1806],{"class":1659},[232,1937,1939,1942,1945,1947,1950,1953,1955],{"class":234,"line":1938},19,[232,1940,1941],{"class":1659},"Crew(",[232,1943,1944],{"class":1726},"agents",[232,1946,1720],{"class":1655},[232,1948,1949],{"class":1659},"[agent], ",[232,1951,1952],{"class":1726},"tasks",[232,1954,1720],{"class":1655},[232,1956,1957],{"class":1659},"[task]).kickoff()\n",[26,1959,326],{"id":326},[328,1961,1962,1979],{},[331,1963,1964],{},[334,1965,1966,1968,1970,1973,1976],{},[337,1967,339],{},[337,1969,1448],{},[337,1971,1972],{},"Smithery",[337,1974,1975],{},"MCP Toolbox",[337,1977,1978],{},"LangChain Tools",[352,1980,1981,1997,2012,2028,2040,2053,2066,2079,2093],{},[334,1982,1983,1985,1988,1991,1994],{},[357,1984,1133],{},[357,1986,1987],{},"1000+",[357,1989,1990],{},"MCP 注册中心",[357,1992,1993],{},"Google MCP 集合",[357,1995,1996],{},"~200",[334,1998,1999,2002,2004,2007,2009],{},[357,2000,2001],{},"OAuth 托管",[357,2003,411],{},[357,2005,2006],{},"❌ 各 server 自管",[357,2008,1112],{},[357,2010,2011],{},"自己写",[334,2013,2014,2017,2020,2023,2025],{},[357,2015,2016],{},"框架兼容",[357,2018,2019],{},"MCP + LC + CrewAI + Autogen + OpenAI",[357,2021,2022],{},"MCP only",[357,2024,2022],{},[357,2026,2027],{},"LangChain only",[334,2029,2030,2032,2034,2036,2038],{},[357,2031,1482],{},[357,2033,403],{},[357,2035,1112],{},[357,2037,1112],{},[357,2039,1112],{},[334,2041,2042,2045,2047,2049,2051],{},[357,2043,2044],{},"audit log",[357,2046,403],{},[357,2048,1112],{},[357,2050,428],{},[357,2052,1112],{},[334,2054,2055,2058,2060,2062,2064],{},[357,2056,2057],{},"企业 SSO",[357,2059,403],{},[357,2061,1112],{},[357,2063,1112],{},[357,2065,1112],{},[334,2067,2068,2070,2072,2074,2077],{},[357,2069,392],{},[357,2071,1112],{},[357,2073,428],{},[357,2075,2076],{},"✅ Apache 2.0",[357,2078,379],{},[334,2080,2081,2083,2086,2088,2091],{},[357,2082,1205],{},[357,2084,2085],{},"Free + 按 action",[357,2087,1546],{},[357,2089,2090],{},"$0 OSS",[357,2092,677],{},[334,2094,2095,2097,2100,2103,2106],{},[357,2096,468],{},[357,2098,2099],{},"多 SaaS + 多框架",[357,2101,2102],{},"MCP server 发现",[357,2104,2105],{},"Google Cloud",[357,2107,2027],{},[26,2109,483],{"id":483},[41,2111,2112,2118,2124,2133,2138,2144,2150,2156,2162,2168],{},[44,2113,2114,2117],{},[47,2115,2116],{},"action 预算","：先估月度 action 量 + 选档，high-frequency 不要无脑用 Free",[44,2119,2120,2123],{},[47,2121,2122],{},"OAuth scope 最小化","：只授权必需 scope，audit log 也更干净",[44,2125,2126,2129,2130,2132],{},[47,2127,2128],{},"每用户 session","：multi-tenant 用 ",[229,2131,1745],{}," 隔离 OAuth + workspace",[44,2134,2135,2137],{},[47,2136,1524],{},"：先看 JSON schema 文档 + 跑 unit test 验证",[44,2139,2140,2143],{},[47,2141,2142],{},"冷门集成","：先 try Free 跑 demo 确认 action coverage 够",[44,2145,2146,2149],{},[47,2147,2148],{},"fallback","：Composio 不可用要有 fallback（重试 + 备用 SDK）",[44,2151,2152,2155],{},[47,2153,2154],{},"数据零云需求","：用 MCP server 自托管，不要用 Composio",[44,2157,2158,2161],{},[47,2159,2160],{},"国内访问","：CDN 海外，国内 production 用 proxy \u002F 反代",[44,2163,2164,2167],{},[47,2165,2166],{},"rate limit","：每个 SaaS 还有自己的 rate limit，Composio 不替你解决",[44,2169,2170,2173],{},[47,2171,2172],{},"vendor lock","：业务核心要做迁移预案（abstract OAuth 层）",[26,2175,543],{"id":542},[41,2177,2178,2181,2184,2187,2190,2193,2196,2199,2202],{},[44,2179,2180],{},"✅ 要造 agent 接多 SaaS 工具",[44,2182,2183],{},"✅ OAuth \u002F token refresh \u002F 错误重试不想自写",[44,2185,2186],{},"✅ 多框架兼容（不锁定）",[44,2188,2189],{},"✅ 企业 + 合规 + audit log",[44,2191,2192],{},"✅ 已有 MCP server 但想要更广覆盖",[44,2194,2195],{},"❌ 单一工具 high-frequency（自接 API 更便宜）",[44,2197,2198],{},"❌ 轻量 hobby project（LangChain 够用）",[44,2200,2201],{},"❌ 完全自托管 \u002F 数据零云",[44,2203,2204],{},"❌ 要 1000% 控制集成代码",[26,2206,572],{"id":572},[41,2208,2209,2215,2221],{},[44,2210,2211],{},[578,2212,2214],{"href":2213},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fsmithery","Smithery 评测",[44,2216,2217],{},[578,2218,2220],{"href":2219},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox","MCP Toolbox 评测",[44,2222,2223],{},[578,2224,1332],{"href":669},[26,2226,596],{"id":596},[301,2228,2229,2236,2243,2250,2257],{},[44,2230,2231,2232],{},"Composio 官网 + Pricing ",[578,2233,2234],{"href":2234,"rel":2235},"https:\u002F\u002Fcomposio.dev",[606],[44,2237,2238,2239],{},"Tooliverse — Composio Review 2026 + 8.56\u002F10 + 295 reviews ",[578,2240,2241],{"href":2241,"rel":2242},"https:\u002F\u002Ftooliverse.ai\u002Ftools\u002Fcomposio",[606],[44,2244,2245,2246],{},"Sift AI — Composio Review 2026: Integration Platform for AI Agents ",[578,2247,2248],{"href":2248,"rel":2249},"https:\u002F\u002Fsiftaitools.com\u002Freviews\u002Fcomposio",[606],[44,2251,2252,2253],{},"Toolradar — Composio Reviews + 4.9\u002F5 ",[578,2254,2255],{"href":2255,"rel":2256},"https:\u002F\u002Ftoolradar.com\u002Ftools\u002Fcomposio",[606],[44,2258,2259,2260],{},"CrewAI Docs — Composio Tool 集成示例 + 250+ tools ",[578,2261,2262],{"href":2262,"rel":2263},"https:\u002F\u002Fdocs.crewai.com\u002Fen\u002Ftools\u002Fautomation\u002Fcomposiotool",[606],[629,2265,2266],{},"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":227,"searchDepth":256,"depth":256,"links":2268},[2269,2270,2271,2272,2273,2274,2275,2276,2277,2278],{"id":28,"depth":242,"text":29},{"id":39,"depth":242,"text":39},{"id":119,"depth":242,"text":119},{"id":1565,"depth":242,"text":1566},{"id":1629,"depth":242,"text":1630},{"id":326,"depth":242,"text":326},{"id":483,"depth":242,"text":483},{"id":542,"depth":242,"text":543},{"id":572,"depth":242,"text":572},{"id":596,"depth":242,"text":596},"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。",[664],{},[2298,2299,1443],"api","sdk",[2301,2304,2308],{"plan":1546,"price":677,"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":144,"price":688,"features":2309,"notes":1422},"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":275,"ux":268,"price":268,"cn_support":256,"stability":268},{"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":703},"Composio 官网",{"name":2322,"url":2241,"accessed":703},"Tooliverse — Composio Review 2026 Agent Tool Execution",{"name":2324,"url":2248,"accessed":703},"Sift AI — Composio Review 2026: Integration Platform",{"name":2326,"url":2255,"accessed":703},"Toolradar — Composio Reviews + 4.9\u002F5",{"name":2328,"url":2262,"accessed":703},"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",[2332,2333,1443,2334,2335],"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":668,"body":2342,"category":2981,"chinese_friendly":268,"cover":2982,"description":2983,"domestic":271,"extension":648,"faq":2984,"free":271,"github":2997,"languages":2998,"lastVerified":666,"meta":3000,"models":668,"navigation":271,"notSuitable":668,"opensource":271,"path":592,"pillar":670,"platforms":3001,"priceTable":3005,"pricing":3009,"published":692,"relatedPlaybooks":3010,"relatedReviews":3012,"score":3015,"self_host":271,"seo":3016,"seoTitle":3017,"slug":14,"sources":3018,"stem":3027,"suitable":668,"tagline":3028,"tags":3029,"updated":703,"verdict":3034,"website":2943,"__hash__":3035},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[698,12,13],{"type":23,"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],[26,2345,29],{"id":28},[31,2347,2348,2349,2352],{},"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（",[229,2350,2351],{},"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。",[31,2354,2355],{},"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）。",[26,2357,39],{"id":39},[41,2359,2360,2369,2375,2381,2387,2393,2399,2405,2411,2417,2423,2429],{},[44,2361,2362,2365,2366,2368],{},[47,2363,2364],{},"多 agent orchestration","：",[229,2367,2351],{}," 编排多个专门 agent 协作",[44,2370,2371,2374],{},[47,2372,2373],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[44,2376,2377,2380],{},[47,2378,2379],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[44,2382,2383,2386],{},[47,2384,2385],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[44,2388,2389,2392],{},[47,2390,2391],{},"OpenManus-RL","：强化学习微调分支",[44,2394,2395,2398],{},[47,2396,2397],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[44,2400,2401,2404],{},[47,2402,2403],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[44,2406,2407,2410],{},[47,2408,2409],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[44,2412,2413,2416],{},[47,2414,2415],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[44,2418,2419,2422],{},[47,2420,2421],{},"Web UI 监控","：实时看 AI thinking process",[44,2424,2425,2428],{},[47,2426,2427],{},"任务可视化","：步骤拆解 + 执行树",[44,2430,2431,2434],{},[47,2432,2433],{},"MIT 协议","：个人 + 商用全免费",[26,2436,119],{"id":119},[41,2438,2439,2445,2448,2451],{},[44,2440,2441,2444],{},[47,2442,2443],{},"Free \u002F OSS","：$0；MIT 协议",[44,2446,2447],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[44,2449,2450],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[44,2452,2453],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[26,2455,2457],{"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）",[31,2459,2460],{},[47,2461,160],{},[41,2463,2464,2467,2470,2473,2476,2479,2482,2485],{},[44,2465,2466],{},"52k stars 印证社区认同度 + 活跃度",[44,2468,2469],{},"MetaGPT 团队背景保证架构质量",[44,2471,2472],{},"多 agent 协作场景比单 agent 实现稳得多",[44,2474,2475],{},"Playwright 浏览器自动化非常完整",[44,2477,2478],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[44,2480,2481],{},"DataAnalysis 内置 agent 模式开箱即用",[44,2483,2484],{},"中文支持自然（Qwen VL Plus 接入）",[44,2486,2487],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[31,2489,2490],{},[47,2491,191],{},[41,2493,2494,2497,2500,2503,2506,2509,2512,2515],{},[44,2495,2496],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[44,2498,2499],{},"文档滞后新功能 1-2 个月",[44,2501,2502],{},"无官方 GUI，监控 UI 在做但不完整",[44,2504,2505],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[44,2507,2508],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[44,2510,2511],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[44,2513,2514],{},"中文 prompt 效果依赖底层模型",[44,2516,2517],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[26,2519,220],{"id":220},[222,2521,2523],{"className":224,"code":2522,"language":226,"meta":227,"style":227},"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",[229,2524,2525,2536,2544,2570,2582,2592,2596,2601,2612,2617,2621,2626,2633,2637,2642],{"__ignoreMap":227},[232,2526,2527,2530,2533],{"class":234,"line":235},[232,2528,2529],{"class":245},"git",[232,2531,2532],{"class":249}," clone",[232,2534,2535],{"class":249}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[232,2537,2538,2541],{"class":234,"line":242},[232,2539,2540],{"class":289},"cd",[232,2542,2543],{"class":249}," OpenManus\n",[232,2545,2546,2549,2552,2555,2558,2561,2564,2567],{"class":234,"line":256},[232,2547,2548],{"class":245},"python3.12",[232,2550,2551],{"class":289}," -m",[232,2553,2554],{"class":249}," venv",[232,2556,2557],{"class":249}," .venv",[232,2559,2560],{"class":1659}," && ",[232,2562,2563],{"class":289},"source",[232,2565,2566],{"class":249}," .venv\u002Fbin\u002Factivate",[232,2568,2569],{"class":238},"  # 或 .venv\\Scripts\\activate\n",[232,2571,2572,2574,2576,2579],{"class":234,"line":268},[232,2573,246],{"class":245},[232,2575,250],{"class":249},[232,2577,2578],{"class":289}," -r",[232,2580,2581],{"class":249}," requirements.txt\n",[232,2583,2584,2587,2589],{"class":234,"line":275},[232,2585,2586],{"class":245},"playwright",[232,2588,250],{"class":249},[232,2590,2591],{"class":249}," chromium\n",[232,2593,2594],{"class":234,"line":281},[232,2595,272],{"emptyLinePlaceholder":271},[232,2597,2598],{"class":234,"line":965},[232,2599,2600],{"class":238},"# 配 LLM API\n",[232,2602,2603,2606,2609],{"class":234,"line":976},[232,2604,2605],{"class":245},"cp",[232,2607,2608],{"class":249}," config\u002Fconfig.example.toml",[232,2610,2611],{"class":249}," config\u002Fconfig.toml\n",[232,2613,2614],{"class":234,"line":990},[232,2615,2616],{"class":238},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[232,2618,2619],{"class":234,"line":1000},[232,2620,272],{"emptyLinePlaceholder":271},[232,2622,2623],{"class":234,"line":1010},[232,2624,2625],{"class":238},"# 单 agent 模式\n",[232,2627,2628,2630],{"class":234,"line":1021},[232,2629,1668],{"class":245},[232,2631,2632],{"class":249}," main.py\n",[232,2634,2635],{"class":234,"line":1032},[232,2636,272],{"emptyLinePlaceholder":271},[232,2638,2639],{"class":234,"line":1038},[232,2640,2641],{"class":238},"# 多 agent 模式\n",[232,2643,2644,2646],{"class":234,"line":1043},[232,2645,1668],{"class":245},[232,2647,2648],{"class":249}," run_flow.py\n",[31,2650,2651],{},"试任务示例：",[222,2653,2658],{"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",[229,2659,2656],{"__ignoreMap":227},[26,2661,326],{"id":326},[328,2663,2664,2681],{},[331,2665,2666],{},[334,2667,2668,2670,2672,2675,2678],{},[337,2669,339],{},[337,2671,2340],{},[337,2673,2674],{},"LangChain",[337,2676,2677],{},"AutoGPT",[337,2679,2680],{},"CrewAI",[352,2682,2683,2700,2714,2726,2741,2754,2768,2782,2799,2813],{},[334,2684,2685,2688,2691,2694,2697],{},[357,2686,2687],{},"形态",[357,2689,2690],{},"现成 agent 实现",[357,2692,2693],{},"building blocks",[357,2695,2696],{},"早期通用 agent",[357,2698,2699],{},"多 agent 框架",[334,2701,2702,2705,2708,2710,2712],{},[357,2703,2704],{},"浏览器自动化",[357,2706,2707],{},"✅ Playwright",[357,2709,463],{},[357,2711,428],{},[357,2713,463],{},[334,2715,2716,2718,2720,2722,2724],{},[357,2717,1178],{},[357,2719,403],{},[357,2721,428],{},[357,2723,463],{},[357,2725,463],{},[334,2727,2728,2731,2734,2737,2739],{},[357,2729,2730],{},"多 agent",[357,2732,2733],{},"✅ orchestration",[357,2735,2736],{},"需自搭",[357,2738,1112],{},[357,2740,411],{},[334,2742,2743,2746,2748,2750,2752],{},[357,2744,2745],{},"DataAnalysis 内置",[357,2747,403],{},[357,2749,463],{},[357,2751,463],{},[357,2753,463],{},[334,2755,2756,2759,2762,2764,2766],{},[357,2757,2758],{},"RL 微调",[357,2760,2761],{},"✅ OpenManus-RL",[357,2763,463],{},[357,2765,463],{},[357,2767,463],{},[334,2769,2770,2773,2776,2778,2780],{},[357,2771,2772],{},"协议",[357,2774,2775],{},"MIT",[357,2777,2775],{},[357,2779,2775],{},[357,2781,2775],{},[334,2783,2784,2787,2790,2793,2796],{},[357,2785,2786],{},"Stars",[357,2788,2789],{},"52k+",[357,2791,2792],{},"100k+",[357,2794,2795],{},"170k+",[357,2797,2798],{},"30k+",[334,2800,2801,2803,2806,2809,2811],{},[357,2802,220],{},[357,2804,2805],{},"中",[357,2807,2808],{},"难",[357,2810,2805],{},[357,2812,2805],{},[334,2814,2815,2817,2820,2823,2826],{},[357,2816,468],{},[357,2818,2819],{},"自托管 Manus 复刻",[357,2821,2822],{},"底层 framework",[357,2824,2825],{},"学习经典",[357,2827,2828],{},"多 agent 协作",[26,2830,483],{"id":483},[41,2832,2833,2839,2849,2855,2861,2867,2873,2879,2884],{},[44,2834,2835,2838],{},[47,2836,2837],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[44,2840,2841,2844,2845,2848],{},[47,2842,2843],{},"Playwright 依赖大","：首次 ",[229,2846,2847],{},"playwright install"," 下 chromium 慢，国内走镜像",[44,2850,2851,2854],{},[47,2852,2853],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[44,2856,2857,2860],{},[47,2858,2859],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[44,2862,2863,2866],{},[47,2864,2865],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[44,2868,2869,2872],{},[47,2870,2871],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[44,2874,2875,2878],{},[47,2876,2877],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[44,2880,2881,2883],{},[47,2882,1512],{},"：信任来源很重要，能访问的目录 \u002F 工具要审慎",[44,2885,2886,2889],{},[47,2887,2888],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[26,2891,543],{"id":542},[41,2893,2894,2897,2900,2903,2906,2909,2912,2915],{},[44,2895,2896],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[44,2898,2899],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[44,2901,2902],{},"✅ 隐私敏感 + 不愿数据上商业云",[44,2904,2905],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[44,2907,2908],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[44,2910,2911],{},"❌ 要 GUI \u002F 上手即用",[44,2913,2914],{},"❌ 生产级稳定（文档滞后 + 演进快）",[44,2916,2917],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[26,2919,572],{"id":572},[41,2921,2922,2926,2930],{},[44,2923,2924],{},[578,2925,1332],{"href":669},[44,2927,2928],{},[578,2929,581],{"href":580},[44,2931,2932],{},[578,2933,587],{"href":586},[26,2935,596],{"id":596},[301,2937,2938,2945,2952,2959],{},[44,2939,2940,2941],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[578,2942,2943],{"href":2943,"rel":2944},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[606],[44,2946,2947,2948],{},"Foundation Agents — OpenManus 项目介绍 ",[578,2949,2950],{"href":2950,"rel":2951},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[606],[44,2953,2954,2955],{},"Toolsverse — OpenManus 评测 + 52k stars ",[578,2956,2957],{"href":2957,"rel":2958},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[606],[44,2960,2961,2962],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[578,2963,2964],{"href":2964,"rel":2965},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[606],[629,2967,2968],{},"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: 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var(--shiki-dark-text-decoration);}",{"title":227,"searchDepth":256,"depth":256,"links":2970},[2971,2972,2973,2974,2975,2976,2977,2978,2979,2980],{"id":28,"depth":242,"text":29},{"id":39,"depth":242,"text":39},{"id":119,"depth":242,"text":119},{"id":2456,"depth":242,"text":2457},{"id":220,"depth":242,"text":220},{"id":326,"depth":242,"text":326},{"id":483,"depth":242,"text":483},{"id":542,"depth":242,"text":543},{"id":572,"depth":242,"text":572},{"id":596,"depth":242,"text":596},"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",[664,2999,665],"zh",{},[3002,3003,3004,284],"linux","macos","windows",[3006],{"plan":2443,"price":677,"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":275,"ux":256,"price":275,"cn_support":268,"stability":256},{"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":703},"OpenManus GitHub（FoundationAgents 组织）",{"name":3022,"url":2950,"accessed":703},"Foundation Agents — OpenManus 项目介绍",{"name":3024,"url":2957,"accessed":703},"Toolsverse — OpenManus 评测 + 52k stars",{"name":3026,"url":2964,"accessed":703},"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",[713,3030,3031,1443,3032,3033],"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",1785660639495]