[{"data":1,"prerenderedAt":3036},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-openmanus":8,"alt-list-openmanus":799},{"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":16,"category":731,"chinese_friendly":274,"cover":732,"description":733,"domestic":303,"extension":734,"faq":735,"free":303,"github":748,"languages":749,"lastVerified":753,"meta":754,"models":15,"navigation":303,"notSuitable":15,"opensource":303,"path":755,"pillar":756,"platforms":757,"priceTable":762,"pricing":767,"published":768,"relatedPlaybooks":769,"relatedReviews":771,"score":774,"self_host":303,"seo":775,"seoTitle":776,"slug":777,"sources":778,"stem":788,"suitable":15,"tagline":789,"tags":790,"updated":781,"verdict":797,"website":691,"__hash__":798},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[12,13,14],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",null,{"type":17,"value":18,"toc":719},"minimark",[19,24,33,36,39,119,122,139,143,148,174,179,205,208,368,371,379,382,563,566,626,630,656,659,680,683,715],[20,21,23],"h2",{"id":22},"tldr","TL;DR",[25,26,27,28,32],"p",{},"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（",[29,30,31],"code",{},"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。",[25,34,35],{},"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）。",[20,37,38],{"id":38},"核心能力",[40,41,42,53,59,65,71,77,83,89,95,101,107,113],"ul",{},[43,44,45,49,50,52],"li",{},[46,47,48],"strong",{},"多 agent orchestration","：",[29,51,31],{}," 编排多个专门 agent 协作",[43,54,55,58],{},[46,56,57],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[43,60,61,64],{},[46,62,63],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[43,66,67,70],{},[46,68,69],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[43,72,73,76],{},[46,74,75],{},"OpenManus-RL","：强化学习微调分支",[43,78,79,82],{},[46,80,81],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[43,84,85,88],{},[46,86,87],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[43,90,91,94],{},[46,92,93],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[43,96,97,100],{},[46,98,99],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[43,102,103,106],{},[46,104,105],{},"Web UI 监控","：实时看 AI thinking process",[43,108,109,112],{},[46,110,111],{},"任务可视化","：步骤拆解 + 执行树",[43,114,115,118],{},[46,116,117],{},"MIT 协议","：个人 + 商用全免费",[20,120,121],{"id":121},"价格",[40,123,124,130,133,136],{},[43,125,126,129],{},[46,127,128],{},"Free \u002F OSS","：$0；MIT 协议",[43,131,132],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[43,134,135],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[43,137,138],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[20,140,142],{"id":141},"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）",[25,144,145],{},[46,146,147],{},"亮点：",[40,149,150,153,156,159,162,165,168,171],{},[43,151,152],{},"52k stars 印证社区认同度 + 活跃度",[43,154,155],{},"MetaGPT 团队背景保证架构质量",[43,157,158],{},"多 agent 协作场景比单 agent 实现稳得多",[43,160,161],{},"Playwright 浏览器自动化非常完整",[43,163,164],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[43,166,167],{},"DataAnalysis 内置 agent 模式开箱即用",[43,169,170],{},"中文支持自然（Qwen VL Plus 接入）",[43,172,173],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[25,175,176],{},[46,177,178],{},"踩坑：",[40,180,181,184,187,190,193,196,199,202],{},[43,182,183],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[43,185,186],{},"文档滞后新功能 1-2 个月",[43,188,189],{},"无官方 GUI，监控 UI 在做但不完整",[43,191,192],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[43,194,195],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[43,197,198],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[43,200,201],{},"中文 prompt 效果依赖底层模型",[43,203,204],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[20,206,207],{"id":207},"上手",[209,210,215],"pre",{"className":211,"code":212,"language":213,"meta":214,"style":214},"language-bash shiki shiki-themes github-light github-dark","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","bash","",[29,216,217,233,243,272,287,298,305,311,323,329,334,340,349,354,360],{"__ignoreMap":214},[218,219,222,226,230],"span",{"class":220,"line":221},"line",1,[218,223,225],{"class":224},"sScJk","git",[218,227,229],{"class":228},"sZZnC"," clone",[218,231,232],{"class":228}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[218,234,236,240],{"class":220,"line":235},2,[218,237,239],{"class":238},"sj4cs","cd",[218,241,242],{"class":228}," OpenManus\n",[218,244,246,249,252,255,258,262,265,268],{"class":220,"line":245},3,[218,247,248],{"class":224},"python3.12",[218,250,251],{"class":238}," -m",[218,253,254],{"class":228}," venv",[218,256,257],{"class":228}," .venv",[218,259,261],{"class":260},"sVt8B"," && ",[218,263,264],{"class":238},"source",[218,266,267],{"class":228}," .venv\u002Fbin\u002Factivate",[218,269,271],{"class":270},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[218,273,275,278,281,284],{"class":220,"line":274},4,[218,276,277],{"class":224},"pip",[218,279,280],{"class":228}," install",[218,282,283],{"class":238}," -r",[218,285,286],{"class":228}," requirements.txt\n",[218,288,290,293,295],{"class":220,"line":289},5,[218,291,292],{"class":224},"playwright",[218,294,280],{"class":228},[218,296,297],{"class":228}," chromium\n",[218,299,301],{"class":220,"line":300},6,[218,302,304],{"emptyLinePlaceholder":303},true,"\n",[218,306,308],{"class":220,"line":307},7,[218,309,310],{"class":270},"# 配 LLM API\n",[218,312,314,317,320],{"class":220,"line":313},8,[218,315,316],{"class":224},"cp",[218,318,319],{"class":228}," config\u002Fconfig.example.toml",[218,321,322],{"class":228}," config\u002Fconfig.toml\n",[218,324,326],{"class":220,"line":325},9,[218,327,328],{"class":270},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[218,330,332],{"class":220,"line":331},10,[218,333,304],{"emptyLinePlaceholder":303},[218,335,337],{"class":220,"line":336},11,[218,338,339],{"class":270},"# 单 agent 模式\n",[218,341,343,346],{"class":220,"line":342},12,[218,344,345],{"class":224},"python",[218,347,348],{"class":228}," main.py\n",[218,350,352],{"class":220,"line":351},13,[218,353,304],{"emptyLinePlaceholder":303},[218,355,357],{"class":220,"line":356},14,[218,358,359],{"class":270},"# 多 agent 模式\n",[218,361,363,365],{"class":220,"line":362},15,[218,364,345],{"class":224},[218,366,367],{"class":228}," run_flow.py\n",[25,369,370],{},"试任务示例：",[209,372,377],{"className":373,"code":375,"language":376},[374],"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",[29,378,375],{"__ignoreMap":214},[20,380,381],{"id":381},"对比",[383,384,385,406],"table",{},[386,387,388],"thead",{},[389,390,391,395,397,400,403],"tr",{},[392,393,394],"th",{},"维度",[392,396,10],{},[392,398,399],{},"LangChain",[392,401,402],{},"AutoGPT",[392,404,405],{},"CrewAI",[407,408,409,427,443,457,474,487,501,515,532,546],"tbody",{},[389,410,411,415,418,421,424],{},[412,413,414],"td",{},"形态",[412,416,417],{},"现成 agent 实现",[412,419,420],{},"building blocks",[412,422,423],{},"早期通用 agent",[412,425,426],{},"多 agent 框架",[389,428,429,432,435,438,441],{},[412,430,431],{},"浏览器自动化",[412,433,434],{},"✅ Playwright",[412,436,437],{},"–",[412,439,440],{},"部分",[412,442,437],{},[389,444,445,448,451,453,455],{},[412,446,447],{},"MCP",[412,449,450],{},"✅",[412,452,440],{},[412,454,437],{},[412,456,437],{},[389,458,459,462,465,468,471],{},[412,460,461],{},"多 agent",[412,463,464],{},"✅ orchestration",[412,466,467],{},"需自搭",[412,469,470],{},"❌",[412,472,473],{},"✅ 旗舰",[389,475,476,479,481,483,485],{},[412,477,478],{},"DataAnalysis 内置",[412,480,450],{},[412,482,437],{},[412,484,437],{},[412,486,437],{},[389,488,489,492,495,497,499],{},[412,490,491],{},"RL 微调",[412,493,494],{},"✅ OpenManus-RL",[412,496,437],{},[412,498,437],{},[412,500,437],{},[389,502,503,506,509,511,513],{},[412,504,505],{},"协议",[412,507,508],{},"MIT",[412,510,508],{},[412,512,508],{},[412,514,508],{},[389,516,517,520,523,526,529],{},[412,518,519],{},"Stars",[412,521,522],{},"52k+",[412,524,525],{},"100k+",[412,527,528],{},"170k+",[412,530,531],{},"30k+",[389,533,534,536,539,542,544],{},[412,535,207],{},[412,537,538],{},"中",[412,540,541],{},"难",[412,543,538],{},[412,545,538],{},[389,547,548,551,554,557,560],{},[412,549,550],{},"适合",[412,552,553],{},"自托管 Manus 复刻",[412,555,556],{},"底层 framework",[412,558,559],{},"学习经典",[412,561,562],{},"多 agent 协作",[20,564,565],{"id":565},"避坑",[40,567,568,574,584,590,596,602,608,614,620],{},[43,569,570,573],{},[46,571,572],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[43,575,576,579,580,583],{},[46,577,578],{},"Playwright 依赖大","：首次 ",[29,581,582],{},"playwright install"," 下 chromium 慢，国内走镜像",[43,585,586,589],{},[46,587,588],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[43,591,592,595],{},[46,593,594],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[43,597,598,601],{},[46,599,600],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[43,603,604,607],{},[46,605,606],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[43,609,610,613],{},[46,611,612],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[43,615,616,619],{},[46,617,618],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[43,621,622,625],{},[46,623,624],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[20,627,629],{"id":628},"适合-不适合","适合 \u002F 不适合",[40,631,632,635,638,641,644,647,650,653],{},[43,633,634],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[43,636,637],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[43,639,640],{},"✅ 隐私敏感 + 不愿数据上商业云",[43,642,643],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[43,645,646],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[43,648,649],{},"❌ 要 GUI \u002F 上手即用",[43,651,652],{},"❌ 生产级稳定（文档滞后 + 演进快）",[43,654,655],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[20,657,658],{"id":658},"相关阅读",[40,660,661,668,674],{},[43,662,663],{},[664,665,667],"a",{"href":666},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[43,669,670],{},[664,671,673],{"href":672},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[43,675,676],{},[664,677,679],{"href":678},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[20,681,682],{"id":682},"来源",[684,685,686,694,701,708],"ol",{},[43,687,688,689],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[664,690,691],{"href":691,"rel":692},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[693],"nofollow",[43,695,696,697],{},"Foundation Agents — OpenManus 项目介绍 ",[664,698,699],{"href":699,"rel":700},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[693],[43,702,703,704],{},"Toolsverse — OpenManus 评测 + 52k stars ",[664,705,706],{"href":706,"rel":707},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[693],[43,709,710,711],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[664,712,713],{"href":713,"rel":714},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[693],[716,717,718],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: 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var(--shiki-dark-text-decoration);}",{"title":214,"searchDepth":245,"depth":245,"links":720},[721,722,723,724,725,726,727,728,729,730],{"id":22,"depth":235,"text":23},{"id":38,"depth":235,"text":38},{"id":121,"depth":235,"text":121},{"id":141,"depth":235,"text":142},{"id":207,"depth":235,"text":207},{"id":381,"depth":235,"text":381},{"id":565,"depth":235,"text":565},{"id":628,"depth":235,"text":629},{"id":658,"depth":235,"text":658},{"id":682,"depth":235,"text":682},"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。","md",[736,739,742,745],{"q":737,"a":738},"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":740,"a":741},"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":743,"a":744},"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":746,"a":747},"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",[750,751,752],"en","zh","multi","2026-08-02",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus","agent",[758,759,760,761],"linux","macos","windows","docker",[763],{"plan":128,"price":764,"features":765,"notes":766},"$0","MIT 协议 + 全部功能 + 自托管 + 多 agent + 浏览器 + MCP + DataAnalysis + OpenManus-RL","LLM API 自付","MIT 完全免费开源 \u002F 用户自付 LLM API（GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus 任选）","2026-06-19",[770],"onboarding\u002Fopen-source-general-agent",[772,773],"openhuman-deep-review","openmanus-deep-review",{"power":289,"ux":245,"price":289,"cn_support":274,"stability":245},{"title":10,"description":733},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars","agent\u002Fgeneral\u002Fopenmanus",[779,782,784,786],{"name":780,"url":691,"accessed":781},"OpenManus GitHub（FoundationAgents 组织）","2026-06-24",{"name":783,"url":699,"accessed":781},"Foundation Agents — OpenManus 项目介绍",{"name":785,"url":706,"accessed":781},"Toolsverse — OpenManus 评测 + 52k stars",{"name":787,"url":713,"accessed":781},"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",[791,792,793,794,795,796],"opensource","multi-agent","browser-automation","mcp","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","5TwlOpKjDlHE7VP3NOnKbK6cSvuhiuEGCwNeO95P6pY",[800,1435,2147],{"id":801,"title":802,"alternatives":803,"api_compatible":804,"body":811,"category":1371,"chinese_friendly":245,"cover":1372,"description":1373,"domestic":1374,"extension":734,"faq":1375,"free":303,"github":1388,"languages":1389,"lastVerified":753,"meta":1390,"models":15,"navigation":303,"notSuitable":15,"opensource":303,"path":666,"pillar":756,"platforms":1391,"priceTable":1395,"pricing":1410,"published":768,"relatedPlaybooks":1411,"relatedReviews":15,"score":1413,"self_host":303,"seo":1414,"seoTitle":1415,"slug":12,"sources":1416,"stem":1426,"suitable":15,"tagline":1427,"tags":1428,"updated":781,"verdict":1433,"website":1419,"__hash__":1434},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md","Langflow",[13,14,777],[805,806,807,808,809,810],"OpenAI","Anthropic","百度文心","阿里通义","Moonshot Kimi","DeepSeek",{"type":17,"value":812,"toc":1359},[813,815,818,821,823,897,899,925,931,935,939,965,969,995,997,1051,1054,1077,1079,1221,1223,1279,1281,1307,1309,1324,1326,1356],[20,814,23],{"id":22},[25,816,817],{},"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。",[25,819,820],{},"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）。",[20,822,38],{"id":38},[40,824,825,831,837,843,849,855,861,867,873,879,885,891],{},[43,826,827,830],{},[46,828,829],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[43,832,833,836],{},[46,834,835],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[43,838,839,842],{},[46,840,841],{},"多 agent 工作流","：编排多 agent 协作",[43,844,845,848],{},[46,846,847],{},"Python 下钻","：任意节点可写 custom Python",[43,850,851,854],{},[46,852,853],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[43,856,857,860],{},[46,858,859],{},"API 部署","：流程一键导出为 REST API",[43,862,863,866],{},[46,864,865],{},"Real-time collaboration","：多用户同 project",[43,868,869,872],{},[46,870,871],{},"版本控制","：内置 versioning + revert",[43,874,875,878],{},[46,876,877],{},"数据可视化","：node output \u002F data flow 可视化调试",[43,880,881,884],{},[46,882,883],{},"角色权限","：user auth + RBAC",[43,886,887,890],{},[46,888,889],{},"Docker \u002F pip 安装","：5 分钟启动",[43,892,893,896],{},[46,894,895],{},"Astra-hosted cloud","：DataStax 托管选项",[20,898,121],{"id":121},[40,900,901,907,913,919],{},[43,902,903,906],{},[46,904,905],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[43,908,909,912],{},[46,910,911],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[43,914,915,918],{},[46,916,917],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[43,920,921,924],{},[46,922,923],{},"Enterprise","：联系销售；SSO + audit + 私有部署 + SLA",[926,927,928],"blockquote",{},[25,929,930],{},"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。",[20,932,934],{"id":933},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[25,936,937],{},[46,938,147],{},[40,940,941,944,947,950,953,956,959,962],{},[43,942,943],{},"画布直观，比纯写 LangChain 协作效率高 5x",[43,945,946],{},"节点下钻到 Python 让灵活度不被画布限制",[43,948,949],{},"Astra DB 集成省了配 vector store 时间",[43,951,952],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[43,954,955],{},"开源 + 自托管 + 数据驻留满足合规",[43,957,958],{},"多 agent 编排比裸 LangChain 调试容易",[43,960,961],{},"RAG pipeline 模板一键起 demo",[43,963,964],{},"与 DataStax 长期支持降低 abandon ware 风险",[25,966,967],{},[46,968,178],{},[40,970,971,974,977,980,983,986,989,992],{},[43,972,973],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[43,975,976],{},"第三方 API 依赖：external API 失败时错误处理弱",[43,978,979],{},"production readiness 不算 mission-critical（要自加 observability）",[43,981,982],{},"LangChain 升级偶尔 break 旧 flow",[43,984,985],{},"文档对新组件滞后 1-2 月",[43,987,988],{},"中文 UI 不完整，业务侧用户上手陡",[43,990,991],{},"大型 flow（100+ 节点）画布卡顿",[43,993,994],{},"多人协作偶发同步冲突",[20,996,207],{"id":207},[209,998,1000],{"className":211,"code":999,"language":213,"meta":214,"style":214},"# 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",[29,1001,1002,1007,1016,1027,1031,1036],{"__ignoreMap":214},[218,1003,1004],{"class":220,"line":221},[218,1005,1006],{"class":270},"# pip 安装\n",[218,1008,1009,1011,1013],{"class":220,"line":235},[218,1010,277],{"class":224},[218,1012,280],{"class":228},[218,1014,1015],{"class":228}," langflow\n",[218,1017,1018,1021,1024],{"class":220,"line":245},[218,1019,1020],{"class":224},"langflow",[218,1022,1023],{"class":228}," run",[218,1025,1026],{"class":270},"  # http:\u002F\u002Flocalhost:7860\n",[218,1028,1029],{"class":220,"line":274},[218,1030,304],{"emptyLinePlaceholder":303},[218,1032,1033],{"class":220,"line":289},[218,1034,1035],{"class":270},"# 或 Docker\n",[218,1037,1038,1040,1042,1045,1048],{"class":220,"line":300},[218,1039,761],{"class":224},[218,1041,1023],{"class":228},[218,1043,1044],{"class":238}," -p",[218,1046,1047],{"class":228}," 7860:7860",[218,1049,1050],{"class":228}," langflowai\u002Flangflow:latest\n",[25,1052,1053],{},"试 RAG 流：",[684,1055,1056,1059,1062,1065,1068,1071,1074],{},[43,1057,1058],{},"新建 flow → 选 Document QA 模板",[43,1060,1061],{},"Document Loader 节点 → 上传 PDF",[43,1063,1064],{},"Splitter → Embedder（OpenAI 或本地）",[43,1066,1067],{},"VectorStore（Astra \u002F Chroma）",[43,1069,1070],{},"Retriever + ChatOpenAI → Chat Output",[43,1072,1073],{},"部署为 API → 拿到 endpoint",[43,1075,1076],{},"复杂场景下钻节点写 Python 自定义",[20,1078,381],{"id":381},[383,1080,1081,1098],{},[386,1082,1083],{},[389,1084,1085,1087,1089,1092,1095],{},[392,1086,394],{},[392,1088,802],{},[392,1090,1091],{},"Dify",[392,1093,1094],{},"n8n",[392,1096,1097],{},"Flowise",[407,1099,1100,1117,1133,1148,1161,1176,1189,1205],{},[389,1101,1102,1105,1108,1111,1114],{},[412,1103,1104],{},"中心",[412,1106,1107],{},"LangChain primitive",[412,1109,1110],{},"LLMOps 全平台",[412,1112,1113],{},"通用 workflow",[412,1115,1116],{},"LangChain（JS）",[389,1118,1119,1122,1125,1128,1131],{},[412,1120,1121],{},"开源",[412,1123,1124],{},"✅ MIT",[412,1126,1127],{},"✅ AGPL",[412,1129,1130],{},"✅ Sustainable",[412,1132,1124],{},[389,1134,1135,1138,1141,1144,1146],{},[412,1136,1137],{},"自托管",[412,1139,1140],{},"✅ pip\u002FDocker",[412,1142,1143],{},"✅ Docker",[412,1145,1143],{},[412,1147,450],{},[389,1149,1150,1153,1155,1157,1159],{},[412,1151,1152],{},"可视化",[412,1154,473],{},[412,1156,450],{},[412,1158,450],{},[412,1160,450],{},[389,1162,1163,1166,1169,1171,1174],{},[412,1164,1165],{},"代码下钻",[412,1167,1168],{},"✅ Python",[412,1170,440],{},[412,1172,1173],{},"✅ JS",[412,1175,1173],{},[389,1177,1178,1181,1183,1185,1187],{},[412,1179,1180],{},"RAG 内置",[412,1182,450],{},[412,1184,450],{},[412,1186,440],{},[412,1188,450],{},[389,1190,1191,1194,1197,1200,1203],{},[412,1192,1193],{},"起价（云）",[412,1195,1196],{},"$25\u002F月",[412,1198,1199],{},"$59\u002F月（Team）",[412,1201,1202],{},"自托管 $0",[412,1204,437],{},[389,1206,1207,1209,1212,1215,1218],{},[412,1208,550],{},[412,1210,1211],{},"工程 + LangChain",[412,1213,1214],{},"业务 + LLMOps",[412,1216,1217],{},"通用自动化",[412,1219,1220],{},"JS 生态",[20,1222,565],{"id":565},[40,1224,1225,1231,1237,1243,1249,1255,1261,1267,1273],{},[43,1226,1227,1230],{},[46,1228,1229],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[43,1232,1233,1236],{},[46,1234,1235],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[43,1238,1239,1242],{},[46,1240,1241],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[43,1244,1245,1248],{},[46,1246,1247],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[43,1250,1251,1254],{},[46,1252,1253],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[43,1256,1257,1260],{},[46,1258,1259],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[43,1262,1263,1266],{},[46,1264,1265],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[43,1268,1269,1272],{},[46,1270,1271],{},"中文场景","：UI 英文为主，业务侧用户先培训",[43,1274,1275,1278],{},[46,1276,1277],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[20,1280,629],{"id":628},[40,1282,1283,1286,1289,1292,1295,1298,1301,1304],{},[43,1284,1285],{},"✅ 工程团队要可视化建 LangChain 流",[43,1287,1288],{},"✅ 合规 \u002F 数据驻留要求自托管",[43,1290,1291],{},"✅ 要 Astra DB 一站式 RAG",[43,1293,1294],{},"✅ Python 团队 + 想画布 + 想下钻代码",[43,1296,1297],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[43,1299,1300],{},"❌ 纯无代码偏好",[43,1302,1303],{},"❌ 轻量场景 + 直接写 LangChain 更快",[43,1305,1306],{},"❌ JS 生态优先（用 Flowise）",[20,1308,658],{"id":658},[40,1310,1311,1315,1319],{},[43,1312,1313],{},[664,1314,673],{"href":672},[43,1316,1317],{},[664,1318,679],{"href":678},[43,1320,1321],{},[664,1322,1323],{"href":755},"OpenManus 评测",[20,1325,682],{"id":682},[684,1327,1328,1335,1342,1349],{},[43,1329,1330,1331],{},"Langflow 官网 + 定价 ",[664,1332,1333],{"href":1333,"rel":1334},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[693],[43,1336,1337,1338],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[664,1339,1340],{"href":1340,"rel":1341},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[693],[43,1343,1344,1345],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[664,1346,1347],{"href":1347,"rel":1348},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[693],[43,1350,1351,1352],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[664,1353,1354],{"href":1354,"rel":1355},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[693],[716,1357,1358],{},"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":214,"searchDepth":245,"depth":245,"links":1360},[1361,1362,1363,1364,1365,1366,1367,1368,1369,1370],{"id":22,"depth":235,"text":23},{"id":38,"depth":235,"text":38},{"id":121,"depth":235,"text":121},{"id":933,"depth":235,"text":934},{"id":207,"depth":235,"text":207},{"id":381,"depth":235,"text":381},{"id":565,"depth":235,"text":565},{"id":628,"depth":235,"text":629},{"id":658,"depth":235,"text":658},{"id":682,"depth":235,"text":682},"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,[1376,1379,1382,1385],{"q":1377,"a":1378},"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":1380,"a":1381},"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":1383,"a":1384},"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":1386,"a":1387},"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",[750,752],{},[1392,1393,761,1394],"self-host","cloud","web",[1396,1399,1402,1406],{"plan":905,"price":764,"features":1397,"notes":1398},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":911,"price":764,"features":1400,"notes":1401},"DataStax 托管 + 小流量","试水",{"plan":917,"price":1403,"features":1404,"notes":1405},"~$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":923,"price":1407,"features":1408,"notes":1409},"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）",[1412],"onboarding\u002Frag-app-workflow",{"power":274,"ux":289,"price":289,"cn_support":245,"stability":274},{"title":802,"description":1373},"Langflow 评测 2026：可视化 AI 工作流构建工具，LangChain 低代码平台",[1417,1420,1422,1424],{"name":1418,"url":1419,"accessed":781},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":1421,"url":1340,"accessed":781},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":1423,"url":1347,"accessed":781},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":1425,"url":1354,"accessed":781},"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",[791,1429,1430,1431,1432,1020],"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",{"id":1436,"title":1094,"alternatives":1437,"api_compatible":1438,"body":1440,"category":1371,"chinese_friendly":245,"cover":2090,"description":2091,"domestic":1374,"extension":734,"faq":2092,"free":303,"github":2105,"languages":2106,"lastVerified":753,"meta":2107,"models":15,"navigation":303,"notSuitable":15,"opensource":303,"path":672,"pillar":756,"platforms":2108,"priceTable":2109,"pricing":2125,"published":768,"relatedPlaybooks":2126,"relatedReviews":15,"score":2128,"self_host":303,"seo":2129,"seoTitle":2130,"slug":13,"sources":2131,"stem":2140,"suitable":15,"tagline":2141,"tags":2142,"updated":781,"verdict":2145,"website":2052,"__hash__":2146},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[12,14,777],[805,806,1439],"Google",{"type":17,"value":1441,"toc":2078},[1442,1444,1447,1450,1452,1526,1528,1553,1558,1562,1566,1592,1596,1622,1626,1752,1755,1783,1786,1788,1936,1938,1999,2001,2027,2029,2043,2045,2075],[20,1443,23],{"id":22},[25,1445,1446],{},"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。",[25,1448,1449],{},"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）。",[20,1451,38],{"id":38},[40,1453,1454,1460,1466,1472,1478,1484,1490,1496,1502,1508,1514,1520],{},[43,1455,1456,1459],{},[46,1457,1458],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[43,1461,1462,1465],{},[46,1463,1464],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[43,1467,1468,1471],{},[46,1469,1470],{},"原生 MCP","：MCP server 一键挂载到 agent",[43,1473,1474,1477],{},[46,1475,1476],{},"Ollama 集成","：本地 LLM 零 API 成本",[43,1479,1480,1483],{},[46,1481,1482],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[43,1485,1486,1489],{},[46,1487,1488],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[43,1491,1492,1495],{},[46,1493,1494],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[43,1497,1498,1501],{},[46,1499,1500],{},"多分支并行 + 错误处理","：production workflow 必备",[43,1503,1504,1507],{},[46,1505,1506],{},"版本控制 + Git Sync","：workflow as code",[43,1509,1510,1513],{},[46,1511,1512],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[43,1515,1516,1519],{},[46,1517,1518],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[43,1521,1522,1525],{},[46,1523,1524],{},"5800+ 社区 workflow","：clone 即用",[20,1527,121],{"id":121},[40,1529,1530,1536,1542,1548],{},[43,1531,1532,1535],{},[46,1533,1534],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[43,1537,1538,1541],{},[46,1539,1540],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[43,1543,1544,1547],{},[46,1545,1546],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[43,1549,1550,1552],{},[46,1551,923],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[926,1554,1555],{},[25,1556,1557],{},"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。",[20,1559,1561],{"id":1560},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[25,1563,1564],{},[46,1565,147],{},[40,1567,1568,1571,1574,1577,1580,1583,1586,1589],{},[43,1569,1570],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[43,1572,1573],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[43,1575,1576],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[43,1578,1579],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[43,1581,1582],{},"5800+ 社区 workflow 节省 80% 上手时间",[43,1584,1585],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[43,1587,1588],{},"升级 Docker tag 一行，无 vendor 升级费",[43,1590,1591],{},"中文社区 \u002F B 站教程丰富",[25,1593,1594],{},[46,1595,178],{},[40,1597,1598,1601,1604,1607,1610,1613,1616,1619],{},[43,1599,1600],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[43,1602,1603],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[43,1605,1606],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[43,1608,1609],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[43,1611,1612],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[43,1614,1615],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[43,1617,1618],{},"Webhook 公网暴露要加 IP 白名单 + secret",[43,1620,1621],{},"Worker 模式才能并发，单进程吞吐有限",[20,1623,1625],{"id":1624},"上手docker-5-分钟","上手（Docker 5 分钟）",[209,1627,1629],{"className":211,"code":1628,"language":213,"meta":214,"style":214},"# 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",[29,1630,1631,1636,1646,1650,1655,1667,1677,1687,1700,1709,1718,1728,1738,1743,1747],{"__ignoreMap":214},[218,1632,1633],{"class":220,"line":221},[218,1634,1635],{"class":270},"# 持久化目录\n",[218,1637,1638,1641,1643],{"class":220,"line":235},[218,1639,1640],{"class":224},"mkdir",[218,1642,1044],{"class":238},[218,1644,1645],{"class":228}," ~\u002Fn8n-data\n",[218,1647,1648],{"class":220,"line":245},[218,1649,304],{"emptyLinePlaceholder":303},[218,1651,1652],{"class":220,"line":274},[218,1653,1654],{"class":270},"# 启动\n",[218,1656,1657,1659,1661,1664],{"class":220,"line":289},[218,1658,761],{"class":224},[218,1660,1023],{"class":228},[218,1662,1663],{"class":238}," -d",[218,1665,1666],{"class":238}," \\\n",[218,1668,1669,1672,1675],{"class":220,"line":300},[218,1670,1671],{"class":238},"  --name",[218,1673,1674],{"class":228}," n8n",[218,1676,1666],{"class":238},[218,1678,1679,1682,1685],{"class":220,"line":307},[218,1680,1681],{"class":238},"  -p",[218,1683,1684],{"class":228}," 5678:5678",[218,1686,1666],{"class":238},[218,1688,1689,1692,1695,1698],{"class":220,"line":313},[218,1690,1691],{"class":238},"  -e",[218,1693,1694],{"class":228}," N8N_BASIC_AUTH_ACTIVE=",[218,1696,1697],{"class":238},"true",[218,1699,1666],{"class":238},[218,1701,1702,1704,1707],{"class":220,"line":325},[218,1703,1691],{"class":238},[218,1705,1706],{"class":228}," N8N_BASIC_AUTH_USER=admin",[218,1708,1666],{"class":238},[218,1710,1711,1713,1716],{"class":220,"line":331},[218,1712,1691],{"class":238},[218,1714,1715],{"class":228}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[218,1717,1666],{"class":238},[218,1719,1720,1723,1726],{"class":220,"line":336},[218,1721,1722],{"class":238},"  -v",[218,1724,1725],{"class":228}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[218,1727,1666],{"class":238},[218,1729,1730,1733,1736],{"class":220,"line":342},[218,1731,1732],{"class":238},"  --restart",[218,1734,1735],{"class":228}," always",[218,1737,1666],{"class":238},[218,1739,1740],{"class":220,"line":351},[218,1741,1742],{"class":228},"  n8nio\u002Fn8n\n",[218,1744,1745],{"class":220,"line":356},[218,1746,304],{"emptyLinePlaceholder":303},[218,1748,1749],{"class":220,"line":362},[218,1750,1751],{"class":270},"# http:\u002F\u002Flocalhost:5678\n",[25,1753,1754],{},"连 Ollama：",[209,1756,1758],{"className":211,"code":1757,"language":213,"meta":214,"style":214},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[29,1759,1760,1768,1778],{"__ignoreMap":214},[218,1761,1762,1765],{"class":220,"line":221},[218,1763,1764],{"class":224},"ollama",[218,1766,1767],{"class":228}," serve\n",[218,1769,1770,1772,1775],{"class":220,"line":235},[218,1771,1764],{"class":224},[218,1773,1774],{"class":228}," pull",[218,1776,1777],{"class":228}," llama3.2\n",[218,1779,1780],{"class":220,"line":245},[218,1781,1782],{"class":270},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[25,1784,1785],{},"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。",[20,1787,381],{"id":381},[383,1789,1790,1806],{},[386,1791,1792],{},[389,1793,1794,1796,1798,1801,1804],{},[392,1795,394],{},[392,1797,1094],{},[392,1799,1800],{},"Zapier",[392,1802,1803],{},"Make",[392,1805,802],{},[407,1807,1808,1821,1833,1850,1863,1878,1890,1904,1920],{},[389,1809,1810,1812,1815,1817,1819],{},[412,1811,1121],{},[412,1813,1814],{},"✅ fair-code",[412,1816,470],{},[412,1818,470],{},[412,1820,1124],{},[389,1822,1823,1825,1827,1829,1831],{},[412,1824,1137],{},[412,1826,473],{},[412,1828,470],{},[412,1830,470],{},[412,1832,450],{},[389,1834,1835,1838,1841,1844,1847],{},[412,1836,1837],{},"集成数",[412,1839,1840],{},"400+",[412,1842,1843],{},"8000+",[412,1845,1846],{},"2000+",[412,1848,1849],{},"LangChain 原语",[389,1851,1852,1855,1857,1859,1861],{},[412,1853,1854],{},"AI Agent",[412,1856,473],{},[412,1858,440],{},[412,1860,440],{},[412,1862,450],{},[389,1864,1865,1868,1871,1873,1875],{},[412,1866,1867],{},"LangChain 节点",[412,1869,1870],{},"✅ 70 个",[412,1872,470],{},[412,1874,470],{},[412,1876,1877],{},"✅ 原生",[389,1879,1880,1882,1884,1886,1888],{},[412,1881,447],{},[412,1883,1877],{},[412,1885,470],{},[412,1887,470],{},[412,1889,440],{},[389,1891,1892,1895,1898,1900,1902],{},[412,1893,1894],{},"Local LLM",[412,1896,1897],{},"✅ Ollama",[412,1899,470],{},[412,1901,470],{},[412,1903,450],{},[389,1905,1906,1909,1912,1915,1918],{},[412,1907,1908],{},"起价",[412,1910,1911],{},"$0 自托管",[412,1913,1914],{},"$29.99\u002F月",[412,1916,1917],{},"$9\u002F月",[412,1919,1911],{},[389,1921,1922,1924,1927,1930,1933],{},[412,1923,550],{},[412,1925,1926],{},"开发者 + 高量级",[412,1928,1929],{},"非技术 + 简单",[412,1931,1932],{},"中等复杂",[412,1934,1935],{},"LangChain 工程",[20,1937,565],{"id":565},[40,1939,1940,1946,1952,1958,1964,1970,1976,1982,1988,1993],{},[43,1941,1942,1945],{},[46,1943,1944],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[43,1947,1948,1951],{},[46,1949,1950],{},"Worker 模式","：高并发要起 worker container 才能并行",[43,1953,1954,1957],{},[46,1955,1956],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[43,1959,1960,1963],{},[46,1961,1962],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[43,1965,1966,1969],{},[46,1967,1968],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[43,1971,1972,1975],{},[46,1973,1974],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[43,1977,1978,1981],{},[46,1979,1980],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[43,1983,1984,1987],{},[46,1985,1986],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[43,1989,1990,1992],{},[46,1991,1524],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[43,1994,1995,1998],{},[46,1996,1997],{},"monitoring","：生产部署加 prometheus + 错误告警",[20,2000,629],{"id":628},[40,2002,2003,2006,2009,2012,2015,2018,2021,2024],{},[43,2004,2005],{},"✅ 开发者 + 完全控制 + 高量级自动化",[43,2007,2008],{},"✅ 从 Zapier \u002F Make 迁出降本",[43,2010,2011],{},"✅ AI Agent + LangChain + MCP 一体",[43,2013,2014],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[43,2016,2017],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[43,2019,2020],{},"❌ 完全不愿自托管 + 不想付 Cloud",[43,2022,2023],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[43,2025,2026],{},"❌ 极简 2-step 自动化（Zapier 更快）",[20,2028,658],{"id":658},[40,2030,2031,2035,2039],{},[43,2032,2033],{},[664,2034,667],{"href":666},[43,2036,2037],{},[664,2038,679],{"href":678},[43,2040,2041],{},[664,2042,1323],{"href":755},[20,2044,682],{"id":682},[684,2046,2047,2054,2061,2068],{},[43,2048,2049,2050],{},"n8n 官网 ",[664,2051,2052],{"href":2052,"rel":2053},"https:\u002F\u002Fn8n.io",[693],[43,2055,2056,2057],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[664,2058,2059],{"href":2059,"rel":2060},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[693],[43,2062,2063,2064],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[664,2065,2066],{"href":2066,"rel":2067},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[693],[43,2069,2070,2071],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[664,2072,2073],{"href":2073,"rel":2074},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[693],[716,2076,2077],{},"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":214,"searchDepth":245,"depth":245,"links":2079},[2080,2081,2082,2083,2084,2085,2086,2087,2088,2089],{"id":22,"depth":235,"text":23},{"id":38,"depth":235,"text":38},{"id":121,"depth":235,"text":121},{"id":1560,"depth":235,"text":1561},{"id":1624,"depth":235,"text":1625},{"id":381,"depth":235,"text":381},{"id":565,"depth":235,"text":565},{"id":628,"depth":235,"text":629},{"id":658,"depth":235,"text":658},{"id":682,"depth":235,"text":682},"\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。",[2093,2096,2099,2102],{"q":2094,"a":2095},"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":2097,"a":2098},"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":2100,"a":2101},"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":2103,"a":2104},"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",[750,752],{},[1392,1393,761,1394],[2110,2114,2118,2122],{"plan":2111,"price":764,"features":2112,"notes":2113},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":1540,"price":2115,"features":2116,"notes":2117},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":1546,"price":2119,"features":2120,"notes":2121},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":923,"price":1407,"features":2123,"notes":2124},"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",[2127],"onboarding\u002Fn8n-ollama-automation",{"power":289,"ux":274,"price":289,"cn_support":245,"stability":289},{"title":1094,"description":2091},"n8n 评测 2026：开源自托管自动化平台，AI Agent 工作流首选",[2132,2134,2136,2138],{"name":2133,"url":2052,"accessed":781},"n8n 官网",{"name":2135,"url":2059,"accessed":781},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":2137,"url":2066,"accessed":781},"Tutorials Technology — n8n + AI on Linux 2026",{"name":2139,"url":2073,"accessed":781},"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",[791,2143,2144,1430,794,1392,1094],"workflow","automation","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":2148,"title":2149,"alternatives":2150,"api_compatible":15,"body":2153,"category":2977,"chinese_friendly":245,"cover":2978,"description":2979,"domestic":1374,"extension":734,"faq":2980,"free":303,"github":15,"languages":2993,"lastVerified":753,"meta":2994,"models":15,"navigation":303,"notSuitable":15,"opensource":1374,"path":678,"pillar":756,"platforms":2995,"priceTable":2998,"pricing":3008,"published":768,"relatedPlaybooks":3009,"relatedReviews":3011,"score":3013,"self_host":1374,"seo":3014,"seoTitle":3015,"slug":14,"sources":3016,"stem":3027,"suitable":15,"tagline":3028,"tags":3029,"updated":781,"verdict":3034,"website":2932,"__hash__":3035},"tools\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio.md","Composio",[2151,2152,12],"agent\u002Fprotocol\u002Fsmithery","agent\u002Fprotocol\u002Fmcp-toolbox",{"type":17,"value":2154,"toc":2965},[2155,2157,2160,2163,2165,2238,2240,2258,2263,2267,2271,2297,2301,2327,2331,2363,2656,2658,2806,2808,2872,2874,2903,2905,2923,2925,2962],[20,2156,23],{"id":22},[25,2158,2159],{},"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。",[25,2161,2162],{},"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）。",[20,2164,38],{"id":38},[40,2166,2167,2173,2179,2185,2191,2197,2203,2209,2214,2220,2226,2232],{},[43,2168,2169,2172],{},[46,2170,2171],{},"1000+ pre-built 集成","：GitHub \u002F Slack \u002F Gmail \u002F Salesforce \u002F Notion \u002F Linear \u002F Jira \u002F Google Workspace 等",[43,2174,2175,2178],{},[46,2176,2177],{},"托管 OAuth","：OAuth flow + token refresh + multi-user 全自动",[43,2180,2181,2184],{},[46,2182,2183],{},"沙箱执行","：tool call 在隔离环境跑，安全隔离",[43,2186,2187,2190],{},[46,2188,2189],{},"action-level 权限","：可精确控制 agent 能做什么（read-only \u002F write \u002F admin）",[43,2192,2193,2196],{},[46,2194,2195],{},"审计日志","：每次 tool call 完整记录（timestamp \u002F user \u002F args \u002F result）",[43,2198,2199,2202],{},[46,2200,2201],{},"框架无关","：MCP \u002F LangChain \u002F CrewAI \u002F Autogen \u002F OpenAI Agents SDK \u002F Claude \u002F ChatGPT",[43,2204,2205,2208],{},[46,2206,2207],{},"Python + TypeScript SDK","：主流 agent 栈都能用",[43,2210,2211,2213],{},[46,2212,618],{},"：1000+ 工具统一 MCP 入口",[43,2215,2216,2219],{},[46,2217,2218],{},"多用户 session","：per-user OAuth + 隔离 workspace",[43,2221,2222,2225],{},[46,2223,2224],{},"自定义工具","：BaseTool 扩展 + JSON schema 验证",[43,2227,2228,2231],{},[46,2229,2230],{},"企业能力","：SSO \u002F audit \u002F SLA \u002F 私有部署",[43,2233,2234,2237],{},[46,2235,2236],{},"AWS \u002F Zoom \u002F Glean 客户","：production 验证",[20,2239,121],{"id":121},[40,2241,2242,2248,2254],{},[43,2243,2244,2247],{},[46,2245,2246],{},"Free","：$0；全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server",[43,2249,2250,2253],{},[46,2251,2252],{},"Growth","：按 action 量阶梯；更高额度 + 团队",[43,2255,2256,924],{},[46,2257,923],{},[926,2259,2260],{},[25,2261,2262],{},"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。",[20,2264,2266],{"id":2265},"实测agent-接入多-saas","实测（agent 接入多 SaaS）",[25,2268,2269],{},[46,2270,147],{},[40,2272,2273,2276,2279,2282,2285,2288,2291,2294],{},[43,2274,2275],{},"集成宽度（1000+）业内最广",[43,2277,2278],{},"OAuth 全托管省 50% 工程量",[43,2280,2281],{},"一份 SDK 跑通 CrewAI \u002F LangChain \u002F OpenAI Agents SDK",[43,2283,2284],{},"沙箱执行 + audit log 让企业合规过关",[43,2286,2287],{},"AWS \u002F Zoom \u002F Glean 等大客户 = production-grade 信号",[43,2289,2290],{},"Tooliverse 8.56\u002F10、Toolradar 4.9\u002F5（295 reviews）",[43,2292,2293],{},"5 分钟可让 CrewAI agent 在 GitHub 上 star 一个 repo",[43,2295,2296],{},"self-healing tool execution（自动重试 + 错误处理）",[25,2298,2299],{},[46,2300,178],{},[40,2302,2303,2306,2309,2312,2315,2318,2321,2324],{},[43,2304,2305],{},"文档『can lag behind rapid feature releases』",[43,2307,2308],{},"pricing scales steeply for high-frequency use cases",[43,2310,2311],{},"自定义工具要『master schema validation that documentation doesn't fully demystify』",[43,2313,2314],{},"冷门集成 action coverage 浅，只支持基础 CRUD",[43,2316,2317],{},"数据完全 SaaS 化，零云需求不能用",[43,2319,2320],{},"国内访问偶发慢（CDN 在海外）",[43,2322,2323],{},"Free 档 action 限额对生产 hobby 也容易撞顶",[43,2325,2326],{},"vendor lock-in：迁移要重写 OAuth 层",[20,2328,2330],{"id":2329},"上手crewai-5-分钟","上手（CrewAI 5 分钟）",[209,2332,2334],{"className":211,"code":2333,"language":213,"meta":214,"style":214},"pip install composio composio-crewai crewai\nexport COMPOSIO_API_KEY=***\n",[29,2335,2336,2351],{"__ignoreMap":214},[218,2337,2338,2340,2342,2345,2348],{"class":220,"line":221},[218,2339,277],{"class":224},[218,2341,280],{"class":228},[218,2343,2344],{"class":228}," composio",[218,2346,2347],{"class":228}," composio-crewai",[218,2349,2350],{"class":228}," crewai\n",[218,2352,2353,2357,2360],{"class":220,"line":235},[218,2354,2356],{"class":2355},"szBVR","export",[218,2358,2359],{"class":260}," COMPOSIO_API_KEY",[218,2361,2362],{"class":2355},"=***\n",[209,2364,2367],{"className":2365,"code":2366,"language":345,"meta":214,"style":214},"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",[29,2368,2369,2383,2395,2407,2411,2431,2471,2481,2485,2490,2505,2533,2537,2547,2560,2572,2591,2596,2634],{"__ignoreMap":214},[218,2370,2371,2374,2377,2380],{"class":220,"line":221},[218,2372,2373],{"class":2355},"from",[218,2375,2376],{"class":260}," composio_crewai ",[218,2378,2379],{"class":2355},"import",[218,2381,2382],{"class":260}," ComposioProvider\n",[218,2384,2385,2387,2390,2392],{"class":220,"line":235},[218,2386,2373],{"class":2355},[218,2388,2389],{"class":260}," composio ",[218,2391,2379],{"class":2355},[218,2393,2394],{"class":260}," Composio\n",[218,2396,2397,2399,2402,2404],{"class":220,"line":245},[218,2398,2373],{"class":2355},[218,2400,2401],{"class":260}," crewai ",[218,2403,2379],{"class":2355},[218,2405,2406],{"class":260}," Agent, Task, Crew\n",[218,2408,2409],{"class":220,"line":274},[218,2410,304],{"emptyLinePlaceholder":303},[218,2412,2413,2416,2419,2422,2426,2428],{"class":220,"line":289},[218,2414,2415],{"class":260},"composio ",[218,2417,2418],{"class":2355},"=",[218,2420,2421],{"class":260}," Composio(",[218,2423,2425],{"class":2424},"s4XuR","provider",[218,2427,2418],{"class":2355},[218,2429,2430],{"class":260},"ComposioProvider())\n",[218,2432,2433,2436,2438,2441,2444,2446,2449,2452,2455,2457,2460,2463,2465,2468],{"class":220,"line":300},[218,2434,2435],{"class":260},"session ",[218,2437,2418],{"class":2355},[218,2439,2440],{"class":260}," composio.create(",[218,2442,2443],{"class":2424},"user_id",[218,2445,2418],{"class":2355},[218,2447,2448],{"class":228},"\"alice\"",[218,2450,2451],{"class":260},", ",[218,2453,2454],{"class":2424},"toolkits",[218,2456,2418],{"class":2355},[218,2458,2459],{"class":260},"[",[218,2461,2462],{"class":228},"\"github\"",[218,2464,2451],{"class":260},[218,2466,2467],{"class":228},"\"gmail\"",[218,2469,2470],{"class":260},"])\n",[218,2472,2473,2476,2478],{"class":220,"line":307},[218,2474,2475],{"class":260},"tools ",[218,2477,2418],{"class":2355},[218,2479,2480],{"class":260}," session.tools()\n",[218,2482,2483],{"class":220,"line":313},[218,2484,304],{"emptyLinePlaceholder":303},[218,2486,2487],{"class":220,"line":325},[218,2488,2489],{"class":270},"# 手动授权（首次）\n",[218,2491,2492,2495,2497,2500,2502],{"class":220,"line":331},[218,2493,2494],{"class":260},"auth ",[218,2496,2418],{"class":2355},[218,2498,2499],{"class":260}," session.authorize(",[218,2501,2462],{"class":228},[218,2503,2504],{"class":260},")\n",[218,2506,2507,2510,2513,2516,2519,2522,2525,2528,2531],{"class":220,"line":336},[218,2508,2509],{"class":238},"print",[218,2511,2512],{"class":260},"(",[218,2514,2515],{"class":2355},"f",[218,2517,2518],{"class":228},"\"Visit: ",[218,2520,2521],{"class":238},"{",[218,2523,2524],{"class":260},"auth.redirect_url",[218,2526,2527],{"class":238},"}",[218,2529,2530],{"class":228},"\"",[218,2532,2504],{"class":260},[218,2534,2535],{"class":220,"line":342},[218,2536,304],{"emptyLinePlaceholder":303},[218,2538,2539,2542,2544],{"class":220,"line":351},[218,2540,2541],{"class":260},"agent ",[218,2543,2418],{"class":2355},[218,2545,2546],{"class":260}," Agent(\n",[218,2548,2549,2552,2554,2557],{"class":220,"line":356},[218,2550,2551],{"class":2424},"    role",[218,2553,2418],{"class":2355},[218,2555,2556],{"class":228},"\"GitHub Agent\"",[218,2558,2559],{"class":260},",\n",[218,2561,2562,2565,2567,2570],{"class":220,"line":362},[218,2563,2564],{"class":2424},"    goal",[218,2566,2418],{"class":2355},[218,2568,2569],{"class":228},"\"Star repos on behalf of users\"",[218,2571,2559],{"class":260},[218,2573,2575,2578,2580,2583,2586,2588],{"class":220,"line":2574},16,[218,2576,2577],{"class":2424},"    tools",[218,2579,2418],{"class":2355},[218,2581,2582],{"class":260},"tools, ",[218,2584,2585],{"class":2424},"llm",[218,2587,2418],{"class":2355},[218,2589,2590],{"class":238},"...\n",[218,2592,2594],{"class":220,"line":2593},17,[218,2595,2504],{"class":260},[218,2597,2599,2602,2604,2607,2610,2612,2615,2617,2619,2621,2624,2627,2629,2632],{"class":220,"line":2598},18,[218,2600,2601],{"class":260},"task ",[218,2603,2418],{"class":2355},[218,2605,2606],{"class":260}," Task(",[218,2608,2609],{"class":2424},"description",[218,2611,2418],{"class":2355},[218,2613,2614],{"class":228},"\"Star composiohq\u002Fcomposio\"",[218,2616,2451],{"class":260},[218,2618,756],{"class":2424},[218,2620,2418],{"class":2355},[218,2622,2623],{"class":260},"agent, ",[218,2625,2626],{"class":2424},"expected_output",[218,2628,2418],{"class":2355},[218,2630,2631],{"class":228},"\"done\"",[218,2633,2504],{"class":260},[218,2635,2637,2640,2643,2645,2648,2651,2653],{"class":220,"line":2636},19,[218,2638,2639],{"class":260},"Crew(",[218,2641,2642],{"class":2424},"agents",[218,2644,2418],{"class":2355},[218,2646,2647],{"class":260},"[agent], ",[218,2649,2650],{"class":2424},"tasks",[218,2652,2418],{"class":2355},[218,2654,2655],{"class":260},"[task]).kickoff()\n",[20,2657,381],{"id":381},[383,2659,2660,2677],{},[386,2661,2662],{},[389,2663,2664,2666,2668,2671,2674],{},[392,2665,394],{},[392,2667,2149],{},[392,2669,2670],{},"Smithery",[392,2672,2673],{},"MCP Toolbox",[392,2675,2676],{},"LangChain Tools",[407,2678,2679,2695,2710,2726,2738,2751,2764,2777,2791],{},[389,2680,2681,2683,2686,2689,2692],{},[412,2682,1837],{},[412,2684,2685],{},"1000+",[412,2687,2688],{},"MCP 注册中心",[412,2690,2691],{},"Google MCP 集合",[412,2693,2694],{},"~200",[389,2696,2697,2700,2702,2705,2707],{},[412,2698,2699],{},"OAuth 托管",[412,2701,473],{},[412,2703,2704],{},"❌ 各 server 自管",[412,2706,470],{},[412,2708,2709],{},"自己写",[389,2711,2712,2715,2718,2721,2723],{},[412,2713,2714],{},"框架兼容",[412,2716,2717],{},"MCP + LC + CrewAI + Autogen + OpenAI",[412,2719,2720],{},"MCP only",[412,2722,2720],{},[412,2724,2725],{},"LangChain only",[389,2727,2728,2730,2732,2734,2736],{},[412,2729,2183],{},[412,2731,450],{},[412,2733,470],{},[412,2735,470],{},[412,2737,470],{},[389,2739,2740,2743,2745,2747,2749],{},[412,2741,2742],{},"audit log",[412,2744,450],{},[412,2746,470],{},[412,2748,440],{},[412,2750,470],{},[389,2752,2753,2756,2758,2760,2762],{},[412,2754,2755],{},"企业 SSO",[412,2757,450],{},[412,2759,470],{},[412,2761,470],{},[412,2763,470],{},[389,2765,2766,2768,2770,2772,2775],{},[412,2767,1137],{},[412,2769,470],{},[412,2771,440],{},[412,2773,2774],{},"✅ Apache 2.0",[412,2776,1124],{},[389,2778,2779,2781,2784,2786,2789],{},[412,2780,1908],{},[412,2782,2783],{},"Free + 按 action",[412,2785,2246],{},[412,2787,2788],{},"$0 OSS",[412,2790,764],{},[389,2792,2793,2795,2798,2801,2804],{},[412,2794,550],{},[412,2796,2797],{},"多 SaaS + 多框架",[412,2799,2800],{},"MCP server 发现",[412,2802,2803],{},"Google Cloud",[412,2805,2725],{},[20,2807,565],{"id":565},[40,2809,2810,2816,2822,2831,2836,2842,2848,2854,2860,2866],{},[43,2811,2812,2815],{},[46,2813,2814],{},"action 预算","：先估月度 action 量 + 选档，high-frequency 不要无脑用 Free",[43,2817,2818,2821],{},[46,2819,2820],{},"OAuth scope 最小化","：只授权必需 scope，audit log 也更干净",[43,2823,2824,2827,2828,2830],{},[46,2825,2826],{},"每用户 session","：multi-tenant 用 ",[29,2829,2443],{}," 隔离 OAuth + workspace",[43,2832,2833,2835],{},[46,2834,2224],{},"：先看 JSON schema 文档 + 跑 unit test 验证",[43,2837,2838,2841],{},[46,2839,2840],{},"冷门集成","：先 try Free 跑 demo 确认 action coverage 够",[43,2843,2844,2847],{},[46,2845,2846],{},"fallback","：Composio 不可用要有 fallback（重试 + 备用 SDK）",[43,2849,2850,2853],{},[46,2851,2852],{},"数据零云需求","：用 MCP server 自托管，不要用 Composio",[43,2855,2856,2859],{},[46,2857,2858],{},"国内访问","：CDN 海外，国内 production 用 proxy \u002F 反代",[43,2861,2862,2865],{},[46,2863,2864],{},"rate limit","：每个 SaaS 还有自己的 rate limit，Composio 不替你解决",[43,2867,2868,2871],{},[46,2869,2870],{},"vendor lock","：业务核心要做迁移预案（abstract OAuth 层）",[20,2873,629],{"id":628},[40,2875,2876,2879,2882,2885,2888,2891,2894,2897,2900],{},[43,2877,2878],{},"✅ 要造 agent 接多 SaaS 工具",[43,2880,2881],{},"✅ OAuth \u002F token refresh \u002F 错误重试不想自写",[43,2883,2884],{},"✅ 多框架兼容（不锁定）",[43,2886,2887],{},"✅ 企业 + 合规 + audit log",[43,2889,2890],{},"✅ 已有 MCP server 但想要更广覆盖",[43,2892,2893],{},"❌ 单一工具 high-frequency（自接 API 更便宜）",[43,2895,2896],{},"❌ 轻量 hobby project（LangChain 够用）",[43,2898,2899],{},"❌ 完全自托管 \u002F 数据零云",[43,2901,2902],{},"❌ 要 1000% 控制集成代码",[20,2904,658],{"id":658},[40,2906,2907,2913,2919],{},[43,2908,2909],{},[664,2910,2912],{"href":2911},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fsmithery","Smithery 评测",[43,2914,2915],{},[664,2916,2918],{"href":2917},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fmcp-toolbox","MCP Toolbox 评测",[43,2920,2921],{},[664,2922,667],{"href":666},[20,2924,682],{"id":682},[684,2926,2927,2934,2941,2948,2955],{},[43,2928,2929,2930],{},"Composio 官网 + Pricing ",[664,2931,2932],{"href":2932,"rel":2933},"https:\u002F\u002Fcomposio.dev",[693],[43,2935,2936,2937],{},"Tooliverse — Composio Review 2026 + 8.56\u002F10 + 295 reviews ",[664,2938,2939],{"href":2939,"rel":2940},"https:\u002F\u002Ftooliverse.ai\u002Ftools\u002Fcomposio",[693],[43,2942,2943,2944],{},"Sift AI — Composio Review 2026: Integration Platform for AI Agents ",[664,2945,2946],{"href":2946,"rel":2947},"https:\u002F\u002Fsiftaitools.com\u002Freviews\u002Fcomposio",[693],[43,2949,2950,2951],{},"Toolradar — Composio Reviews + 4.9\u002F5 ",[664,2952,2953],{"href":2953,"rel":2954},"https:\u002F\u002Ftoolradar.com\u002Ftools\u002Fcomposio",[693],[43,2956,2957,2958],{},"CrewAI Docs — Composio Tool 集成示例 + 250+ tools ",[664,2959,2960],{"href":2960,"rel":2961},"https:\u002F\u002Fdocs.crewai.com\u002Fen\u002Ftools\u002Fautomation\u002Fcomposiotool",[693],[716,2963,2964],{},"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":214,"searchDepth":245,"depth":245,"links":2966},[2967,2968,2969,2970,2971,2972,2973,2974,2975,2976],{"id":22,"depth":235,"text":23},{"id":38,"depth":235,"text":38},{"id":121,"depth":235,"text":121},{"id":2265,"depth":235,"text":2266},{"id":2329,"depth":235,"text":2330},{"id":381,"depth":235,"text":381},{"id":565,"depth":235,"text":565},{"id":628,"depth":235,"text":629},{"id":658,"depth":235,"text":658},{"id":682,"depth":235,"text":682},"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。",[2981,2984,2987,2990],{"q":2982,"a":2983},"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":2985,"a":2986},"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":2988,"a":2989},"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":2991,"a":2992},"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。",[750],{},[2996,2997,794],"api","sdk",[2999,3002,3006],{"plan":2246,"price":764,"features":3000,"notes":3001},"全部 1000+ 集成 + 限月度 action + Python\u002FTS SDK + MCP server","开发 \u002F 试水",{"plan":2252,"price":3003,"features":3004,"notes":3005},"按 action","更高 action 限额 + 更多并发 + 细粒度权限 + 团队","生产部署",{"plan":923,"price":1407,"features":3007,"notes":2124},"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",[3010],"onboarding\u002Fagent-integration-layer",[3012],"mcp-ecosystem-review",{"power":289,"ux":274,"price":274,"cn_support":245,"stability":274},{"title":2149,"description":2979},"Composio 评测 2026：AI Agent 集成中间件，1000+ 工具 + MCP",[3017,3019,3021,3023,3025],{"name":3018,"url":2932,"accessed":781},"Composio 官网",{"name":3020,"url":2939,"accessed":781},"Tooliverse — Composio Review 2026 Agent Tool Execution",{"name":3022,"url":2946,"accessed":781},"Sift AI — Composio Review 2026: Integration Platform",{"name":3024,"url":2953,"accessed":781},"Toolradar — Composio Reviews + 4.9\u002F5",{"name":3026,"url":2960,"accessed":781},"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",[3030,3031,794,3032,3033],"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",1785660639145]