[{"data":1,"prerenderedAt":5422},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fplatform\u002Flangflow":9,"tool-stats-agent\u002Fplatform\u002Flangflow":715,"cat-rank-agent-platform":718,"tool-related-agent\u002Fplatform\u002Flangflow":5421},{"tools":4,"reviews":5},65,7,{"tools":4,"reviews":5,"playbooks":7,"news":8},10,8,{"id":10,"title":11,"alternatives":12,"api_compatible":22,"body":23,"category":641,"chinese_friendly":257,"cover":642,"description":643,"domestic":644,"extension":645,"faq":646,"free":644,"github":22,"languages":659,"meta":662,"models":22,"navigation":272,"notSuitable":22,"opensource":272,"path":663,"pillar":664,"platforms":665,"priceTable":669,"pricing":685,"published":686,"relatedPlaybooks":687,"relatedReviews":22,"score":691,"self_host":272,"seo":692,"slug":693,"sources":694,"stem":705,"suitable":22,"tagline":706,"tags":707,"updated":698,"verdict":713,"website":697,"__hash__":714},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md","Langflow",[13,16,19],{"name":14,"url":15},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":17,"url":18},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"name":20,"url":21},"openmanus","\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",null,{"type":24,"value":25,"toc":629},"minimark",[26,31,35,38,41,118,121,147,153,157,162,188,193,219,222,298,301,325,328,481,484,540,544,570,573,591,594,625],[27,28,30],"h2",{"id":29},"tldr","TL;DR",[32,33,34],"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。",[32,36,37],{},"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）。",[27,39,40],{"id":40},"核心能力",[42,43,44,52,58,64,70,76,82,88,94,100,106,112],"ul",{},[45,46,47,51],"li",{},[48,49,50],"strong",{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[45,53,54,57],{},[48,55,56],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[45,59,60,63],{},[48,61,62],{},"多 agent 工作流","：编排多 agent 协作",[45,65,66,69],{},[48,67,68],{},"Python 下钻","：任意节点可写 custom Python",[45,71,72,75],{},[48,73,74],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[45,77,78,81],{},[48,79,80],{},"API 部署","：流程一键导出为 REST API",[45,83,84,87],{},[48,85,86],{},"Real-time collaboration","：多用户同 project",[45,89,90,93],{},[48,91,92],{},"版本控制","：内置 versioning + revert",[45,95,96,99],{},[48,97,98],{},"数据可视化","：node output \u002F data flow 可视化调试",[45,101,102,105],{},[48,103,104],{},"角色权限","：user auth + RBAC",[45,107,108,111],{},[48,109,110],{},"Docker \u002F pip 安装","：5 分钟启动",[45,113,114,117],{},[48,115,116],{},"Astra-hosted cloud","：DataStax 托管选项",[27,119,120],{"id":120},"价格",[42,122,123,129,135,141],{},[45,124,125,128],{},[48,126,127],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[45,130,131,134],{},[48,132,133],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[45,136,137,140],{},[48,138,139],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[45,142,143,146],{},[48,144,145],{},"Enterprise","：联系销售；SSO + audit + 私有部署 + SLA",[148,149,150],"blockquote",{},[32,151,152],{},"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。",[27,154,156],{"id":155},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[32,158,159],{},[48,160,161],{},"亮点：",[42,163,164,167,170,173,176,179,182,185],{},[45,165,166],{},"画布直观，比纯写 LangChain 协作效率高 5x",[45,168,169],{},"节点下钻到 Python 让灵活度不被画布限制",[45,171,172],{},"Astra DB 集成省了配 vector store 时间",[45,174,175],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[45,177,178],{},"开源 + 自托管 + 数据驻留满足合规",[45,180,181],{},"多 agent 编排比裸 LangChain 调试容易",[45,183,184],{},"RAG pipeline 模板一键起 demo",[45,186,187],{},"与 DataStax 长期支持降低 abandon ware 风险",[32,189,190],{},[48,191,192],{},"踩坑：",[42,194,195,198,201,204,207,210,213,216],{},[45,196,197],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[45,199,200],{},"第三方 API 依赖：external API 失败时错误处理弱",[45,202,203],{},"production readiness 不算 mission-critical（要自加 observability）",[45,205,206],{},"LangChain 升级偶尔 break 旧 flow",[45,208,209],{},"文档对新组件滞后 1-2 月",[45,211,212],{},"中文 UI 不完整，业务侧用户上手陡",[45,214,215],{},"大型 flow（100+ 节点）画布卡顿",[45,217,218],{},"多人协作偶发同步冲突",[27,220,221],{"id":221},"上手",[223,224,229],"pre",{"className":225,"code":226,"language":227,"meta":228,"style":228},"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","",[230,231,232,241,255,267,274,280],"code",{"__ignoreMap":228},[233,234,237],"span",{"class":235,"line":236},"line",1,[233,238,240],{"class":239},"sJ8bj","# pip 安装\n",[233,242,244,248,252],{"class":235,"line":243},2,[233,245,247],{"class":246},"sScJk","pip",[233,249,251],{"class":250},"sZZnC"," install",[233,253,254],{"class":250}," langflow\n",[233,256,258,261,264],{"class":235,"line":257},3,[233,259,260],{"class":246},"langflow",[233,262,263],{"class":250}," run",[233,265,266],{"class":239},"  # http:\u002F\u002Flocalhost:7860\n",[233,268,270],{"class":235,"line":269},4,[233,271,273],{"emptyLinePlaceholder":272},true,"\n",[233,275,277],{"class":235,"line":276},5,[233,278,279],{"class":239},"# 或 Docker\n",[233,281,283,286,288,292,295],{"class":235,"line":282},6,[233,284,285],{"class":246},"docker",[233,287,263],{"class":250},[233,289,291],{"class":290},"sj4cs"," -p",[233,293,294],{"class":250}," 7860:7860",[233,296,297],{"class":250}," langflowai\u002Flangflow:latest\n",[32,299,300],{},"试 RAG 流：",[302,303,304,307,310,313,316,319,322],"ol",{},[45,305,306],{},"新建 flow → 选 Document QA 模板",[45,308,309],{},"Document Loader 节点 → 上传 PDF",[45,311,312],{},"Splitter → Embedder（OpenAI 或本地）",[45,314,315],{},"VectorStore（Astra \u002F Chroma）",[45,317,318],{},"Retriever + ChatOpenAI → Chat Output",[45,320,321],{},"部署为 API → 拿到 endpoint",[45,323,324],{},"复杂场景下钻节点写 Python 自定义",[27,326,327],{"id":327},"对比",[329,330,331,351],"table",{},[332,333,334],"thead",{},[335,336,337,341,343,346,348],"tr",{},[338,339,340],"th",{},"维度",[338,342,11],{},[338,344,345],{},"Dify",[338,347,14],{},[338,349,350],{},"Flowise",[352,353,354,372,388,404,418,434,447,464],"tbody",{},[335,355,356,360,363,366,369],{},[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）",[335,373,374,377,380,383,386],{},[357,375,376],{},"开源",[357,378,379],{},"✅ MIT",[357,381,382],{},"✅ AGPL",[357,384,385],{},"✅ Sustainable",[357,387,379],{},[335,389,390,393,396,399,401],{},[357,391,392],{},"自托管",[357,394,395],{},"✅ pip\u002FDocker",[357,397,398],{},"✅ Docker",[357,400,398],{},[357,402,403],{},"✅",[335,405,406,409,412,414,416],{},[357,407,408],{},"可视化",[357,410,411],{},"✅ 旗舰",[357,413,403],{},[357,415,403],{},[357,417,403],{},[335,419,420,423,426,429,432],{},[357,421,422],{},"代码下钻",[357,424,425],{},"✅ Python",[357,427,428],{},"部分",[357,430,431],{},"✅ JS",[357,433,431],{},[335,435,436,439,441,443,445],{},[357,437,438],{},"RAG 内置",[357,440,403],{},[357,442,403],{},[357,444,428],{},[357,446,403],{},[335,448,449,452,455,458,461],{},[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],{},"–",[335,465,466,469,472,475,478],{},[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",[27,482,483],{"id":483},"避坑",[42,485,486,492,498,504,510,516,522,528,534],{},[45,487,488,491],{},[48,489,490],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[45,493,494,497],{},[48,495,496],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[45,499,500,503],{},[48,501,502],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[45,505,506,509],{},[48,507,508],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[45,511,512,515],{},[48,513,514],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[45,517,518,521],{},[48,519,520],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[45,523,524,527],{},[48,525,526],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[45,529,530,533],{},[48,531,532],{},"中文场景","：UI 英文为主，业务侧用户先培训",[45,535,536,539],{},[48,537,538],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[27,541,543],{"id":542},"适合-不适合","适合 \u002F 不适合",[42,545,546,549,552,555,558,561,564,567],{},[45,547,548],{},"✅ 工程团队要可视化建 LangChain 流",[45,550,551],{},"✅ 合规 \u002F 数据驻留要求自托管",[45,553,554],{},"✅ 要 Astra DB 一站式 RAG",[45,556,557],{},"✅ Python 团队 + 想画布 + 想下钻代码",[45,559,560],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[45,562,563],{},"❌ 纯无代码偏好",[45,565,566],{},"❌ 轻量场景 + 直接写 LangChain 更快",[45,568,569],{},"❌ JS 生态优先（用 Flowise）",[27,571,572],{"id":572},"相关阅读",[42,574,575,581,586],{},[45,576,577],{},[578,579,580],"a",{"href":15},"n8n 评测",[45,582,583],{},[578,584,585],{"href":18},"Composio 评测",[45,587,588],{},[578,589,590],{"href":21},"OpenManus 评测",[27,592,593],{"id":593},"来源",[302,595,596,604,611,618],{},[45,597,598,599],{},"Langflow 官网 + 定价 ",[578,600,601],{"href":601,"rel":602},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[603],"nofollow",[45,605,606,607],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[578,608,609],{"href":609,"rel":610},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[603],[45,612,613,614],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[578,615,616],{"href":616,"rel":617},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[603],[45,619,620,621],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[578,622,623],{"href":623,"rel":624},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[603],[626,627,628],"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":228,"searchDepth":257,"depth":257,"links":630},[631,632,633,634,635,636,637,638,639,640],{"id":29,"depth":243,"text":30},{"id":40,"depth":243,"text":40},{"id":120,"depth":243,"text":120},{"id":155,"depth":243,"text":156},{"id":221,"depth":243,"text":221},{"id":327,"depth":243,"text":327},{"id":483,"depth":243,"text":483},{"id":542,"depth":243,"text":543},{"id":572,"depth":243,"text":572},{"id":593,"depth":243,"text":593},"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",[647,650,653,656],{"q":648,"a":649},"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":651,"a":652},"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":654,"a":655},"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":657,"a":658},"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。",[660,661],"en","multi",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","agent",[666,667,285,668],"self-host","cloud","web",[670,674,677,681],{"plan":127,"price":671,"features":672,"notes":673},"$0","MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":133,"price":671,"features":675,"notes":676},"DataStax 托管 + 小流量","试水",{"plan":139,"price":678,"features":679,"notes":680},"~$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":145,"price":682,"features":683,"notes":684},"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",[688],{"name":689,"url":690},"RAG 应用搭建工作流","\u002Fplaybook\u002Fonboarding\u002Frag-app-workflow",{"power":269,"ux":276,"price":276,"cn_support":257,"stability":269},{"title":11,"description":643},"agent\u002Fplatform\u002Flangflow",[695,699,701,703],{"name":696,"url":697,"accessed":698},"Langflow 官网","https:\u002F\u002Fwww.langflow.org","2026-06-24",{"name":700,"url":609,"accessed":698},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":702,"url":616,"accessed":698},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":704,"url":623,"accessed":698},"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",[708,709,710,711,712,260],"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。","eCjsOTFwABESw_XGCPtOv8Lbi5wLL7TlH0O5lbHxof0",{"ok":272,"slug":716,"viewCount":717,"clickCount":717,"avgRating":717,"ratingCount":717},"agent%2Fplatform%2Flangflow",0,[719,1628,2637,3709,4161,4871],{"id":720,"title":721,"alternatives":722,"api_compatible":726,"body":727,"category":641,"chinese_friendly":276,"cover":1557,"description":1558,"domestic":644,"extension":645,"faq":22,"free":644,"github":22,"languages":1559,"meta":1561,"models":1562,"navigation":272,"notSuitable":1568,"opensource":644,"path":1572,"pillar":664,"platforms":1573,"priceTable":1574,"pricing":1595,"published":1596,"relatedPlaybooks":22,"relatedReviews":22,"score":1597,"self_host":644,"seo":1598,"slug":1599,"sources":1600,"stem":1611,"suitable":1612,"tagline":1618,"tags":1619,"updated":698,"verdict":1626,"website":749,"__hash__":1627},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md","Coze",[723,724,725],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fyuanqi",[],{"type":24,"value":728,"toc":1541},[729,731,772,777,780,785,788,802,811,861,870,874,877,909,917,921,924,944,948,1029,1039,1042,1045,1065,1074,1078,1114,1117,1120,1262,1278,1309,1312,1385,1387,1390,1407,1410,1439,1441,1505,1507,1534],[27,730,30],{"id":29},[732,733,738,759],"div",{"className":734},[735,736,737],"card","p-5","my-4",[32,739,740,743,744,758],{},[48,741,742],{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[48,745,746,747,752,753],{},"国内版 ",[578,748,751],{"href":749,"rel":750},"https:\u002F\u002Fwww.coze.cn",[603],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[578,754,757],{"href":755,"rel":756},"https:\u002F\u002Fwww.coze.com",[603],"coze.com"," 双轨运营。国内版深度集成飞书 \u002F 抖音生态、原生接入豆包；国际版集成 OpenAI \u002F Claude \u002F Gemini。",[32,760,761,762,765,766,771],{},"最大价值是 ",[48,763,764],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[578,767,770],{"href":768,"rel":769},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[603],"博客园 2026-01 选型指南"," 引用的真实案例，\"某电商公司用 Coze 搭建客服机器人，3 天上线，月成本 \u003C 1000 元\"。",[148,773,774],{},[32,775,776],{},"来源说明：本文基于 coze.cn \u002F coze.com 官方页面、docs.coze.com 文档、第三方选型评测（cnblogs \u002F besthub \u002F aibotgo）综合整理。字节产品迭代很快，价格 \u002F 功能请以最新官方页面为准。",[27,778,779],{"id":779},"核心特性",[781,782,784],"h3",{"id":783},"可视化工作流最大卖点","可视化工作流（最大卖点）",[32,786,787],{},"Coze 把 Agent 拆成两层：",[42,789,790,796],{},[45,791,792,795],{},[48,793,794],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[45,797,798,801],{},[48,799,800],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[32,803,804,805,810],{},"工作流节点类型（基于 ",[578,806,809],{"href":807,"rel":808},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[603],"火山引擎社区 2025 实战","）：",[42,812,813,819,825,831,837,843,849,855],{},[45,814,815,818],{},[48,816,817],{},"开始 \u002F 结束节点","：输入输出",[45,820,821,824],{},[48,822,823],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[45,826,827,830],{},[48,828,829],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[45,832,833,836],{},[48,834,835],{},"循环节点","：批量处理多条数据",[45,838,839,842],{},[48,840,841],{},"条件节点","：分支判断",[45,844,845,848],{},[48,846,847],{},"插件节点","：调 Coze 插件市场的工具",[45,850,851,854],{},[48,852,853],{},"知识库节点","：RAG 检索",[45,856,857,860],{},[48,858,859],{},"HTTP 节点","：调外部 API",[32,862,863,864,869],{},"典型用例（参考 ",[578,865,868],{"href":866,"rel":867},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[603],"今日头条 涛哥讲AI 2025-02 教程","）：读飞书多维表格 → 批量调大模型转写为小红书风格 → 写回飞书。整个流程零代码完成。",[781,871,873],{"id":872},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[32,875,876],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[42,878,879,885,891,897,903],{},[45,880,881,884],{},[48,882,883],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[45,886,887,890],{},[48,888,889],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[45,892,893,896],{},[48,894,895],{},"联网搜索","：实时网页检索",[45,898,899,902],{},[48,900,901],{},"代码执行","：在线运行 Python",[45,904,905,908],{},[48,906,907],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[32,910,911,916],{},[578,912,915],{"href":913,"rel":914},"https:\u002F\u002Fkouziai.github.io\u002F",[603],"扣子空间介绍"," 提到：\"插件数量突破 500 个\"——可信度待官方确认，但量级在百级别是确定的。",[781,918,920],{"id":919},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[32,922,923],{},"发布渠道：",[42,925,926,929,932,935,938,941],{},[45,927,928],{},"飞书机器人（一键绑）",[45,930,931],{},"抖音 \u002F 头条号",[45,933,934],{},"微信小程序 \u002F 公众号（部分需企业认证）",[45,936,937],{},"自定义网页嵌入",[45,939,940],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[45,942,943],{},"Discord（国际版）",[781,945,947],{"id":946},"国内版-vs-国际版","国内版 vs 国际版",[329,949,950,962],{},[332,951,952],{},[335,953,954,956,959],{},[338,955,340],{},[338,957,958],{},"扣子（coze.cn）",[338,960,961],{},"Coze（coze.com）",[352,963,964,975,986,996,1007,1018],{},[335,965,966,969,972],{},[357,967,968],{},"主力模型",[357,970,971],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[357,973,974],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[335,976,977,980,983],{},[357,978,979],{},"飞书 \u002F 抖音 \u002F 微信集成",[357,981,982],{},"✅ 原生",[357,984,985],{},"❌",[335,987,988,991,994],{},[357,989,990],{},"Discord \u002F Slack 集成",[357,992,993],{},"⚠️ 有限",[357,995,982],{},[335,997,998,1001,1004],{},[357,999,1000],{},"数据存储位置",[357,1002,1003],{},"国内",[357,1005,1006],{},"海外",[335,1008,1009,1012,1015],{},[357,1010,1011],{},"支付",[357,1013,1014],{},"微信 \u002F 支付宝",[357,1016,1017],{},"海外信用卡",[335,1019,1020,1023,1026],{},[357,1021,1022],{},"内容合规",[357,1024,1025],{},"严格审核",[357,1027,1028],{},"宽松",[32,1030,1031,1034,1035,1038],{},[48,1032,1033],{},"实践建议","：国内 toC \u002F toB 用扣子，海外项目 \u002F 接 GPT 用 coze.com。两边账号 \u002F 工作流 ",[48,1036,1037],{},"不互通","。",[27,1040,1041],{"id":1041},"价格与运行成本",[32,1043,1044],{},"国内版（扣子）：",[42,1046,1047,1053,1059],{},[45,1048,1049,1052],{},[48,1050,1051],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[45,1054,1055,1058],{},[48,1056,1057],{},"专业版","：按调用计费，模型 + 高并发，单 token 价比直连 API 略贵但省事",[45,1060,1061,1064],{},[48,1062,1063],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[32,1066,1067,1068,1073],{},"国际版（coze.com）的定价模式据 ",[578,1069,1072],{"href":1070,"rel":1071},"https:\u002F\u002Fdocs.coze.com\u002F",[603],"官方文档"," 描述：\"按你访问和使用的功能分别计费，每个功能有自己的计费模型\"——目前没有简单的\"$X\u002F月\"档位，类似按 token \u002F 工具调用的 metered billing。",[27,1075,1077],{"id":1076},"上手-10-分钟","上手 10 分钟",[302,1079,1080,1093,1096,1099,1102,1105,1108,1111],{},[45,1081,1082,1083,1087,1088,1092],{},"打开 ",[578,1084,1086],{"href":749,"rel":1085},[603],"www.coze.cn","（国内）或 ",[578,1089,1091],{"href":755,"rel":1090},[603],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[45,1094,1095],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[45,1097,1098],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[45,1100,1101],{},"写 Bot 角色 prompt",[45,1103,1104],{},"可选：上传 PDF \u002F 文档建知识库",[45,1106,1107],{},"测试一下对话效果",[45,1109,1110],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[45,1112,1113],{},"拿到调用 URL \u002F 飞书机器人 webhook",[32,1115,1116],{},"进阶：在\"资源库\"创建工作流，拖节点 → 调试 → 在 Bot 里\"添加工作流\"引用。",[27,1118,1119],{"id":1119},"与同类怎么选",[329,1121,1122,1147],{},[332,1123,1124],{},[335,1125,1126,1128,1130,1135,1141],{},[338,1127,340],{},[338,1129,721],{},[338,1131,1132],{},[578,1133,345],{"href":1134},"\u002Fagent\u002Fplatform\u002Fdify.html",[338,1136,1137],{},[578,1138,1140],{"href":1139},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[338,1142,1143],{},[578,1144,1146],{"href":1145},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[352,1148,1149,1161,1176,1192,1208,1221,1235,1249],{},[335,1150,1151,1153,1155,1157,1159],{},[357,1152,376],{},[357,1154,985],{},[357,1156,403],{},[357,1158,403],{},[357,1160,985],{},[335,1162,1163,1166,1169,1171,1173],{},[357,1164,1165],{},"私有部署",[357,1167,1168],{},"⚠️ 仅企业版",[357,1170,403],{},[357,1172,403],{},[357,1174,1175],{},"⚠️",[335,1177,1178,1181,1184,1187,1189],{},[357,1179,1180],{},"上手难度",[357,1182,1183],{},"★ 最简单",[357,1185,1186],{},"★★★",[357,1188,1186],{},[357,1190,1191],{},"★★",[335,1193,1194,1197,1200,1203,1206],{},[357,1195,1196],{},"工作流编排",[357,1198,1199],{},"★★★★☆",[357,1201,1202],{},"★★★★★",[357,1204,1205],{},"★★★☆☆",[357,1207,1205],{},[335,1209,1210,1213,1215,1217,1219],{},[357,1211,1212],{},"RAG 精度",[357,1214,1205],{},[357,1216,1199],{},[357,1218,1202],{},[357,1220,1205],{},[335,1222,1223,1226,1228,1230,1232],{},[357,1224,1225],{},"字节生态",[357,1227,1202],{},[357,1229,985],{},[357,1231,985],{},[357,1233,1234],{},"❌（腾讯系）",[335,1236,1237,1240,1243,1245,1247],{},[357,1238,1239],{},"插件市场",[357,1241,1242],{},"★★★★★ 200+",[357,1244,1205],{},[357,1246,1205],{},[357,1248,1205],{},[335,1250,1251,1254,1256,1258,1260],{},[357,1252,1253],{},"中文社区",[357,1255,1202],{},[357,1257,1199],{},[357,1259,1199],{},[357,1261,1199],{},[32,1263,1264,1267,1268,1273,1274,810],{},[48,1265,1266],{},"怎么选","（综合 ",[578,1269,1272],{"href":1270,"rel":1271},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[603],"BestHub 2025-07"," 和 ",[578,1275,1277],{"href":768,"rel":1276},[603],"博客园 2026-01",[42,1279,1280,1286,1294,1301],{},[45,1281,1282,1285],{},[48,1283,1284],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[45,1287,1288,1291,1292],{},[48,1289,1290],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[578,1293,345],{"href":1134},[45,1295,1296,1291,1299],{},[48,1297,1298],{},"核心场景就是企业知识库 QA",[578,1300,1140],{"href":1139},[45,1302,1303,1291,1306],{},[48,1304,1305],{},"QQ \u002F 微信生态 + 腾讯系",[578,1307,1308],{"href":1145},"元器",[27,1310,1311],{"id":1311},"避坑清单",[42,1313,1314,1324,1330,1345,1355,1361,1373,1379],{},[45,1315,1316,1319,1320,1323],{},[48,1317,1318],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[48,1321,1322],{},"两套独立系统","，账号、Bot、工作流不互通；想\"国内调通后搬到海外\"需要重新搭",[45,1325,1326,1329],{},[48,1327,1328],{},"专业版按调用计费容易超预算","：上线前一定在测试环境跑量估算月成本，否则爆款 Bot 一夜烧爆账户",[45,1331,1332,1335,1336,1339,1340,1344],{},[48,1333,1334],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[230,1337,1338],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[578,1341,1343],{"href":807,"rel":1342},[603],"火山引擎 2025 教程","）",[45,1346,1347,1350,1351,1354],{},[48,1348,1349],{},"工作流读取飞书表格默认 20 条","：要改 ",[230,1352,1353],{},"page_size","，最大 500 条；超过 500 要分页或循环",[45,1356,1357,1360],{},[48,1358,1359],{},"运行超时","：单工作流执行有时间上限，记录条数 > 50 时建议在 Bot 里\"异步\"调用，不要直接走工作流",[45,1362,1363,1366,1367,1369,1370,1372],{},[48,1364,1365],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[578,1368,345],{"href":1134}," \u002F ",[578,1371,1140],{"href":1139}," 自托管",[45,1374,1375,1378],{},[48,1376,1377],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[45,1380,1381,1384],{},[48,1382,1383],{},"审核合规","：国内版对 prompt \u002F 输出有内容审核，金融 \u002F 医疗 \u002F 政治话题可能被拦",[27,1386,543],{"id":542},[32,1388,1389],{},"✅ 适合：",[42,1391,1392,1395,1398,1401,1404],{},[45,1393,1394],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[45,1396,1397],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[45,1399,1400],{},"个人副业（小红书账号批量内容生成等）",[45,1402,1403],{},"中小企业客服 Bot（3 天上线）",[45,1405,1406],{},"想用豆包 \u002F DeepSeek 国产模型的人",[32,1408,1409],{},"❌ 不适合：",[42,1411,1412,1415,1418,1423,1430],{},[45,1413,1414],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[45,1416,1417],{},"复杂业务系统深度集成（自由度不够）",[45,1419,1420,1421,1344],{},"反感字节生态（去 ",[578,1422,345],{"href":1134},[45,1424,1425,1426,1369,1428,1344],{},"希望开源 \u002F 完全自主可控（去 ",[578,1427,345],{"href":1134},[578,1429,1140],{"href":1139},[45,1431,1432,1433,1369,1435,1438],{},"海外 toB SaaS 产品后端（",[578,1434,345],{"href":1134},[578,1436,11],{"href":1437},"\u002Fagent\u002Fplatform\u002Flangflow.html"," 更合适）",[27,1440,572],{"id":572},[42,1442,1443,1457,1475,1494],{},[45,1444,1445,1446,1369,1448,1369,1450,1369,1452,1369,1454],{},"同类对比：",[578,1447,345],{"href":1134},[578,1449,1140],{"href":1139},[578,1451,1308],{"href":1145},[578,1453,11],{"href":1437},[578,1455,14],{"href":1456},"\u002Fagent\u002Fplatform\u002Fn8n.html",[45,1458,1459,1460,1369,1464,1369,1468,1369,1472],{},"概念：",[578,1461,1463],{"href":1462},"\u002Fwiki\u002Fai-agent.html","AI Agent",[578,1465,1467],{"href":1466},"\u002Fwiki\u002Frag.html","RAG",[578,1469,1471],{"href":1470},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[578,1473,1474],{"href":1462},"Multi-Agent",[45,1476,1477,1478,1369,1482,1369,1486,1369,1490],{},"模型：",[578,1479,1481],{"href":1480},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[578,1483,1485],{"href":1484},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[578,1487,1489],{"href":1488},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[578,1491,1493],{"href":1492},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[45,1495,1496,1497,1369,1501],{},"进阶：",[578,1498,1500],{"href":1499},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[578,1502,1504],{"href":1503},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[27,1506,593],{"id":593},[42,1508,1509,1515,1521,1528,1531],{},[45,1510,1511,1512],{},"国内版：",[578,1513,749],{"href":749,"rel":1514},[603],[45,1516,1517,1518],{},"国际版：",[578,1519,755],{"href":755,"rel":1520},[603],[45,1522,1523,1524],{},"官方文档：",[578,1525,1526],{"href":1526,"rel":1527},"https:\u002F\u002Fdocs.coze.com",[603],[45,1529,1530],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[45,1532,1533],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[32,1535,1536,1537,1540],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 功能 \u002F 渠道与最新官方信息不一致，请通过 ",[578,1538,1539],{"href":1539},"\u002Fsubmit"," 反馈。",{"title":228,"searchDepth":257,"depth":257,"links":1542},[1543,1544,1550,1551,1552,1553,1554,1555,1556],{"id":29,"depth":243,"text":30},{"id":779,"depth":243,"text":779,"children":1545},[1546,1547,1548,1549],{"id":783,"depth":257,"text":784},{"id":872,"depth":257,"text":873},{"id":919,"depth":257,"text":920},{"id":946,"depth":257,"text":947},{"id":1041,"depth":243,"text":1041},{"id":1076,"depth":243,"text":1077},{"id":1119,"depth":243,"text":1119},{"id":1311,"depth":243,"text":1311},{"id":542,"depth":243,"text":543},{"id":572,"depth":243,"text":572},{"id":593,"depth":243,"text":593},"\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 真实评测：字节出品低代码 Agent 平台，可视化工作流编排、插件市场、Bot 一键发布。国内版（扣子）支持豆包，国际版支持 GPT\u002FClaude。AIHO 编辑部基于官方文档与社区资料整理，含定位、与 Dify\u002FFastGPT 对比、避坑指南。",[1560,660],"zh",{},[1563,1564,1565,1566,1567],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[1569,1570,1571],"需要私有部署、数据不出网（去 Dify \u002F FastGPT）","需要深度定制（去 LangGraph \u002F n8n）","对字节生态依赖反感","\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze",[668],[1575,1581,1586,1590],{"plan":1576,"price":1577,"limit":1578,"cn_pay":1579,"note":1580},"免费版（扣子）","¥0","免费模型限额 + 基础功能","—","个人试水 \u002F 1-2 天 MVP",{"plan":1057,"price":1582,"limit":1583,"cn_pay":1584,"note":1585},"按调用计费","高级模型 + 高并发 + 商用授权","✅ 微信\u002F支付宝","上量后切",{"plan":1063,"price":1587,"limit":1588,"cn_pay":403,"note":1589},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":1591,"price":1592,"cn_pay":1593,"note":1594,"limit":1579},"国际版 (coze.com)","免费起步 + 用量计费","需海外卡","可接 GPT\u002FClaude\u002FGemini","免费档 \u002F 专业版按调用计费 \u002F 企业版议价","2026-06-18",{"power":269,"ux":276,"price":269,"cn_support":276,"stability":269},{"title":721,"description":1558},"agent\u002Fplatform\u002Fcoze",[1601,1603,1605,1607,1609],{"title":1602,"url":749},"Coze 国内版（扣子）",{"title":1604,"url":755},"Coze 国际版",{"title":1606,"url":1526},"Coze 官方文档",{"title":1608,"url":768},"Coze vs Dify vs FastGPT 选型 2026",{"title":1610,"url":1270},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[1613,1614,1615,1616,1617],"想 1 小时做出一个 Bot 的产品 \u002F 运营","需要发布到飞书 \u002F 微信 \u002F 抖音的 Bot","工作流可视化编排（不想写代码）","需要批量调用国内大模型 + 飞书多维表格的工作流","C 端 \u002F 轻量 toB 场景","字节出品的 Agent 搭建平台，国内 \u002F 国际双版本",[1620,1621,1622,1623,1624,1625],"agent-platform","low-code","workflow","bot-marketplace","bytedance","no-code","想最快做出一个能用的 Bot，从 Coze 起步。要私有部署或开源协作，去 Dify \u002F FastGPT。","KWtbqzHU1_VGE_xOR2zlayUtxLlYNrVBcFee1O5XH3E",{"id":1629,"title":345,"alternatives":1630,"api_compatible":22,"body":1632,"category":641,"chinese_friendly":269,"cover":2605,"description":2606,"domestic":644,"extension":645,"faq":22,"free":644,"github":1913,"languages":2607,"meta":2609,"models":22,"navigation":272,"notSuitable":22,"opensource":272,"path":2610,"pillar":664,"platforms":2611,"priceTable":22,"pricing":2615,"published":1596,"relatedPlaybooks":22,"relatedReviews":22,"score":2616,"self_host":272,"seo":2617,"slug":723,"sources":2618,"stem":2630,"suitable":22,"tagline":2631,"tags":2632,"updated":698,"verdict":2635,"website":2551,"__hash__":2636},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[1599,724,1631,693],"agent\u002Fplatform\u002Fn8n",{"type":24,"value":1633,"toc":2583},[1634,1636,1654,1659,1661,1665,1668,1737,1740,1744,1747,1761,1777,1781,1784,1795,1799,1807,1818,1822,1825,1827,1831,1840,1898,1905,1909,1917,1970,1973,1993,1997,2000,2058,2064,2066,2155,2158,2187,2189,2316,2328,2363,2365,2438,2440,2442,2462,2464,2493,2495,2542,2544,2575,2580],[27,1635,30],{"id":29},[732,1637,1639,1644],{"className":1638},[735,736,737],[32,1640,1641,1643],{},[48,1642,742],{}," Dify 是开源 LLMOps 平台的事实标准。GitHub 13 万 star、累计 100 万+ 生产 app（据 chatforest.com 2026 评测引用 Dify 官方数据），把\"可视化工作流编排 + RAG 知识库 + Agent + MCP 协议\"打包成一个 Docker Compose 能跑起来的东西。",[32,1645,761,1646,1649,1650,1653],{},[48,1647,1648],{},"完全开源 + 模型不挑食","——同一个工作流里同时调 OpenAI、Anthropic、Ollama 本地、DeepSeek、Qwen 都行。代价是部署比 ",[578,1651,721],{"href":1652},"\u002Fagent\u002Fplatform\u002Fcoze.html"," 折腾，新手得读 1-2 小时文档。",[148,1655,1656],{},[32,1657,1658],{},"来源说明：本文基于 docs.dify.ai 官方文档、langgenius\u002Fdify GitHub 仓库、第三方评测（besthub.dev \u002F chatforest.com \u002F joshuaopolko.com \u002F zhihu 知名专栏）综合归纳。版本号会变，部署要求请以官方最新文档为准。",[27,1660,779],{"id":779},[781,1662,1664],{"id":1663},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[32,1666,1667],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[329,1669,1670,1683],{},[332,1671,1672],{},[335,1673,1674,1677,1680],{},[338,1675,1676],{},"类型",[338,1678,1679],{},"适合场景",[338,1681,1682],{},"编排范式",[352,1684,1685,1698,1711,1724],{},[335,1686,1687,1692,1695],{},[357,1688,1689],{},[48,1690,1691],{},"Chatbot",[357,1693,1694],{},"简单对话机器人",[357,1696,1697],{},"prompt + tools",[335,1699,1700,1705,1708],{},[357,1701,1702],{},[48,1703,1704],{},"Agent",[357,1706,1707],{},"自主多步任务",[357,1709,1710],{},"ReAct \u002F Function Calling",[335,1712,1713,1718,1721],{},[357,1714,1715],{},[48,1716,1717],{},"Chatflow",[357,1719,1720],{},"对话型工作流（多轮 + 分支）",[357,1722,1723],{},"节点 DAG，带聊天上下文",[335,1725,1726,1731,1734],{},[357,1727,1728],{},[48,1729,1730],{},"Workflow",[357,1732,1733],{},"单次输入→输出（API 模式）",[357,1735,1736],{},"节点 DAG，无对话状态",[32,1738,1739],{},"节点类型覆盖：LLM、知识检索、HTTP 请求、代码执行（Python \u002F JS）、条件分支、迭代、变量聚合、参数提取、问题分类——满足\"用拖拽实现可观测的 LLM pipeline\"。",[781,1741,1743],{"id":1742},"rag-知识库","RAG 知识库",[32,1745,1746],{},"内置完整 RAG 链路：",[302,1748,1749,1752,1755,1758],{},[45,1750,1751],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[45,1753,1754],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[45,1756,1757],{},"混合检索（向量 + 全文 + 重排）",[45,1759,1760],{},"引用溯源（回答末尾自动附原文片段）",[32,1762,1763,1764,1769,1770,1773,1774,1776],{},"注意：根据 ",[578,1765,1768],{"href":1766,"rel":1767},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[603],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[48,1771,1772],{},"社区版默认是基础语义检索","，企业版才解锁多路召回 + 重排。RAG 极致精度场景仍推荐 ",[578,1775,1140],{"href":1139},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[781,1778,1780],{"id":1779},"模型生态40-提供商","模型生态：40+ 提供商",[32,1782,1783],{},"Dify 通过插件市场接入主流模型——OpenAI、Anthropic、Google Gemini、Azure、AWS Bedrock、Cohere、xAI、DeepSeek、Qwen、智谱、文心、豆包、月之暗面、Ollama、LM Studio、Replicate、Together AI、OpenRouter……几乎你能数出来的 LLM 提供商都在。",[32,1785,1786,1787,1789,1790,1794],{},"国产模型原生支持（不像 ",[578,1788,1140],{"href":1139}," 需要 ",[578,1791,1793],{"href":1792},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[781,1796,1798],{"id":1797},"mcp-协议支持","MCP 协议支持",[32,1800,1801,1802,1806],{},"Dify 较早接入了 ",[578,1803,1805],{"href":1804},"\u002Fwiki\u002Fmcp.html","MCP（Model Context Protocol）","，工作流可以直接调 MCP Server 暴露的 tools。意味着你可以让 Dify 工作流：",[42,1808,1809,1812,1815],{},[45,1810,1811],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[45,1813,1814],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[45,1816,1817],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[781,1819,1821],{"id":1820},"api-first","API-first",[32,1823,1824],{},"每个 app 自动暴露 REST API，参数和返回结构自动生成 OpenAPI Schema。集成到自家产品里不需要写包装代码，给前端 \u002F 微信小程序 \u002F 飞书机器人调用都方便。",[27,1826,1041],{"id":1041},[781,1828,1830],{"id":1829},"云版difyai","云版（dify.ai）",[32,1832,1833,1834,1839],{},"根据 ",[578,1835,1838],{"href":1836,"rel":1837},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[603],"tooljunction.io 2026 评测"," 引用的官方定价：",[329,1841,1842,1854],{},[332,1843,1844],{},[335,1845,1846,1849,1851],{},[338,1847,1848],{},"套餐",[338,1850,120],{},[338,1852,1853],{},"主要限制",[352,1855,1856,1867,1878,1889],{},[335,1857,1858,1861,1864],{},[357,1859,1860],{},"Sandbox",[357,1862,1863],{},"免费",[357,1865,1866],{},"200 次模型调用，1 app，5MB 知识库",[335,1868,1869,1872,1875],{},[357,1870,1871],{},"Professional",[357,1873,1874],{},"$59\u002F月起",[357,1876,1877],{},"5000 调用\u002F月，多 app，50MB 知识库",[335,1879,1880,1883,1886],{},[357,1881,1882],{},"Team",[357,1884,1885],{},"$159\u002F月起",[357,1887,1888],{},"团队协作、SSO",[335,1890,1891,1893,1895],{},[357,1892,145],{},[357,1894,682],{},[357,1896,1897],{},"定制 SLA、私有云",[32,1899,1900,1901,1904],{},"注意：云版价格只是 Dify 平台费，",[48,1902,1903],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[781,1906,1908],{"id":1907},"自托管推荐","自托管（推荐）",[32,1910,1911,1916],{},[578,1912,1915],{"href":1913,"rel":1914},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[603],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[223,1918,1920],{"className":225,"code":1919,"language":227,"meta":228,"style":228},"git clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[230,1921,1922,1933,1941,1952,1965],{"__ignoreMap":228},[233,1923,1924,1927,1930],{"class":235,"line":236},[233,1925,1926],{"class":246},"git",[233,1928,1929],{"class":250}," clone",[233,1931,1932],{"class":250}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[233,1934,1935,1938],{"class":235,"line":243},[233,1936,1937],{"class":290},"cd",[233,1939,1940],{"class":250}," dify\u002Fdocker\n",[233,1942,1943,1946,1949],{"class":235,"line":257},[233,1944,1945],{"class":246},"cp",[233,1947,1948],{"class":250}," .env.example",[233,1950,1951],{"class":250}," .env\n",[233,1953,1954,1956,1959,1962],{"class":235,"line":269},[233,1955,285],{"class":246},[233,1957,1958],{"class":250}," compose",[233,1960,1961],{"class":250}," up",[233,1963,1964],{"class":290}," -d\n",[233,1966,1967],{"class":235,"line":276},[233,1968,1969],{"class":239},"# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[32,1971,1972],{},"硬件门槛（社区共识，非官方硬性要求）：",[42,1974,1975,1981,1987],{},[45,1976,1977,1980],{},[48,1978,1979],{},"最低","：2 核 4G，纯外接 API 模式",[45,1982,1983,1986],{},[48,1984,1985],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[45,1988,1989,1992],{},[48,1990,1991],{},"企业","：8 核 16G+，单机日活上千",[781,1994,1996],{"id":1995},"真实-tco","真实 TCO",[32,1998,1999],{},"按一家中小团队 3 年场景估算（基于上面引用的多份评测交叉对比）：",[329,2001,2002,2014],{},[332,2003,2004],{},[335,2005,2006,2009,2012],{},[338,2007,2008],{},"成本项",[338,2010,2011],{},"云版 Professional",[338,2013,392],{},[352,2015,2016,2026,2036,2047],{},[335,2017,2018,2021,2024],{},[357,2019,2020],{},"平台费",[357,2022,2023],{},"~$2,100（3 年）",[357,2025,671],{},[335,2027,2028,2031,2033],{},[357,2029,2030],{},"服务器",[357,2032,671],{},[357,2034,2035],{},"~$50\u002F月 × 36 = $1,800",[335,2037,2038,2041,2044],{},[357,2039,2040],{},"模型 API",[357,2042,2043],{},"与下同",[357,2045,2046],{},"与上同",[335,2048,2049,2052,2055],{},[357,2050,2051],{},"运维人力",[357,2053,2054],{},"0",[357,2056,2057],{},"约 0.2 人月",[32,2059,2060,2063],{},[48,2061,2062],{},"结论","：日活 \u003C 100 用云版省心；> 500 或数据敏感场景自托管 ROI 更好。",[27,2065,1077],{"id":1076},[223,2067,2069],{"className":225,"code":2068,"language":227,"meta":228,"style":228},"# 1. 自托管（社区版）\ngit clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n\n# 2. 浏览器打开 http:\u002F\u002Flocalhost\n#    首次会让你创建 admin 账号\n\n# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n\n# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[230,2070,2071,2076,2084,2090,2098,2108,2112,2117,2122,2127,2132,2137,2143,2149],{"__ignoreMap":228},[233,2072,2073],{"class":235,"line":236},[233,2074,2075],{"class":239},"# 1. 自托管（社区版）\n",[233,2077,2078,2080,2082],{"class":235,"line":243},[233,2079,1926],{"class":246},[233,2081,1929],{"class":250},[233,2083,1932],{"class":250},[233,2085,2086,2088],{"class":235,"line":257},[233,2087,1937],{"class":290},[233,2089,1940],{"class":250},[233,2091,2092,2094,2096],{"class":235,"line":269},[233,2093,1945],{"class":246},[233,2095,1948],{"class":250},[233,2097,1951],{"class":250},[233,2099,2100,2102,2104,2106],{"class":235,"line":276},[233,2101,285],{"class":246},[233,2103,1958],{"class":250},[233,2105,1961],{"class":250},[233,2107,1964],{"class":290},[233,2109,2110],{"class":235,"line":282},[233,2111,273],{"emptyLinePlaceholder":272},[233,2113,2114],{"class":235,"line":5},[233,2115,2116],{"class":239},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[233,2118,2119],{"class":235,"line":8},[233,2120,2121],{"class":239},"#    首次会让你创建 admin 账号\n",[233,2123,2125],{"class":235,"line":2124},9,[233,2126,273],{"emptyLinePlaceholder":272},[233,2128,2129],{"class":235,"line":7},[233,2130,2131],{"class":239},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[233,2133,2135],{"class":235,"line":2134},11,[233,2136,273],{"emptyLinePlaceholder":272},[233,2138,2140],{"class":235,"line":2139},12,[233,2141,2142],{"class":239},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[233,2144,2146],{"class":235,"line":2145},13,[233,2147,2148],{"class":239},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[233,2150,2152],{"class":235,"line":2151},14,[233,2153,2154],{"class":239},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[27,2156,2157],{"id":2157},"国内使用注意事项",[302,2159,2160,2166,2172,2178],{},[45,2161,2162,2165],{},[48,2163,2164],{},"云版 dify.ai 直连国内访问稳定但需要付款","——支持国际信用卡 \u002F Stripe",[45,2167,2168,2171],{},[48,2169,2170],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[45,2173,2174,2177],{},[48,2175,2176],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[45,2179,2180,2183,2184,2186],{},[48,2181,2182],{},"数据合规","：完全自托管时，数据零外泄；某些金融 \u002F 政府客户因此从 ",[578,2185,721],{"href":1652}," 迁到 Dify",[27,2188,1119],{"id":1119},[329,2190,2191,2211],{},[332,2192,2193],{},[335,2194,2195,2197,2199,2203,2207],{},[338,2196,340],{},[338,2198,345],{},[338,2200,2201],{},[578,2202,721],{"href":1652},[338,2204,2205],{},[578,2206,1140],{"href":1139},[338,2208,2209],{},[578,2210,14],{"href":1456},[352,2212,2213,2226,2238,2251,2263,2276,2290,2302],{},[335,2214,2215,2217,2219,2221,2223],{},[357,2216,376],{},[357,2218,403],{},[357,2220,985],{},[357,2222,403],{},[357,2224,2225],{},"✅（fair-code）",[335,2227,2228,2230,2232,2234,2236],{},[357,2229,1165],{},[357,2231,403],{},[357,2233,985],{},[357,2235,403],{},[357,2237,403],{},[335,2239,2240,2242,2244,2247,2249],{},[357,2241,1180],{},[357,2243,1205],{},[357,2245,2246],{},"★★☆☆☆ 最简单",[357,2248,1205],{},[357,2250,1199],{},[335,2252,2253,2255,2257,2259,2261],{},[357,2254,1196],{},[357,2256,1202],{},[357,2258,1199],{},[357,2260,1205],{},[357,2262,1202],{},[335,2264,2265,2267,2269,2271,2273],{},[357,2266,1212],{},[357,2268,1199],{},[357,2270,1205],{},[357,2272,1202],{},[357,2274,2275],{},"★★☆☆☆",[335,2277,2278,2281,2283,2285,2288],{},[357,2279,2280],{},"模型生态",[357,2282,1202],{},[357,2284,1199],{},[357,2286,2287],{},"★★★☆☆（OneAPI 中转）",[357,2289,1199],{},[335,2291,2292,2294,2296,2298,2300],{},[357,2293,532],{},[357,2295,1199],{},[357,2297,1202],{},[357,2299,1199],{},[357,2301,1205],{},[335,2303,2304,2307,2309,2312,2314],{},[357,2305,2306],{},"字节生态绑定",[357,2308,985],{},[357,2310,2311],{},"✅（飞书\u002F抖音深度集成）",[357,2313,985],{},[357,2315,985],{},[32,2317,2318,2320,2321,1273,2324,2327],{},[48,2319,1266],{},"（基于 ",[578,2322,1272],{"href":1270,"rel":2323},[603],[578,2325,1277],{"href":768,"rel":2326},[603]," 两份选型指南综合）：",[42,2329,2330,2336,2343,2349,2356],{},[45,2331,2332,2335],{},[48,2333,2334],{},"数据必须不出内网 + 工作流复杂"," → Dify",[45,2337,2338,1291,2341],{},[48,2339,2340],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[578,2342,721],{"href":1652},[45,2344,2345,1291,2347],{},[48,2346,1298],{},[578,2348,1140],{"href":1139},[45,2350,2351,1291,2354],{},[48,2352,2353],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[578,2355,14],{"href":1456},[45,2357,2358,1291,2361],{},[48,2359,2360],{},"要画图式表达 LangChain pipeline",[578,2362,11],{"href":1437},[27,2364,1311],{"id":1311},[42,2366,2367,2373,2390,2401,2414,2420,2426,2432],{},[45,2368,2369,2372],{},[48,2370,2371],{},"社区版与企业版差距比想象大","：多路召回 \u002F 重排序 \u002F 单点登录 \u002F 审计日志都在企业版。社区版做生产前心里要有数。",[45,2374,2375,2381,2382,2385,2386,2389],{},[48,2376,2377,2380],{},[230,2378,2379],{},".env"," 文件改完忘 restart","：",[230,2383,2384],{},"docker compose down && up -d","，不是 ",[230,2387,2388],{},"restart","——后者不重新加载 env。",[45,2391,2392,2381,2395,2400],{},[48,2393,2394],{},"大版本升级会破坏数据库 schema",[578,2396,2399],{"href":2397,"rel":2398},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[603],"官方升级文档"," 有详细 migration 步骤，跨大版本（如 0.x → 1.x）务必先备份 PostgreSQL 卷。生产环境强烈建议跑 staging 完整验证后再升。",[45,2402,2403,2406,2407,2409,2410,2413],{},[48,2404,2405],{},"RAG 文件大小社区版默认 15MB","：根据上述知乎实测，超过会失败。改 ",[230,2408,2379],{}," 的 ",[230,2411,2412],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[45,2415,2416,2419],{},[48,2417,2418],{},"代码节点的 Sandbox 性能差","：内置代码执行节点跑在隔离容器里启动慢、内存小。生产高频用建议改成 HTTP 节点调外部服务。",[45,2421,2422,2425],{},[48,2423,2424],{},"工作流\"迭代节点\"循环上限","：默认 10 次，复杂 ReAct agent 容易撞天花板，需要在节点设置里调高。",[45,2427,2428,2431],{},[48,2429,2430],{},"Dify Plugin 系统是新东西","：1.0 后引入的 Plugin 体系替代了原来的 Tools\u002FModels 配置方式，老教程可能已过时——以最新官方文档为准。",[45,2433,2434,2437],{},[48,2435,2436],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[27,2439,543],{"id":542},[32,2441,1389],{},[42,2443,2444,2447,2450,2453,2456,2459],{},[45,2445,2446],{},"中大型企业 LLM 中台建设",[45,2448,2449],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[45,2451,2452],{},"想做\"AI 工作流即产品\"的开发团队",[45,2454,2455],{},"同时需要 RAG + Agent + Workflow 三件套",[45,2457,2458],{},"想用国产模型 + 国际模型混合编排",[45,2460,2461],{},"已经接受 Docker + 一定运维投入",[32,2463,1409],{},[42,2465,2466,2472,2478,2481,2487],{},[45,2467,2468,2469,2471],{},"纯个人玩家做对话机器人（",[578,2470,721],{"href":1652}," 更快）",[45,2473,2474,2475,2477],{},"只想做企业知识库 QA（",[578,2476,1140],{"href":1139}," RAG 更专）",[45,2479,2480],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[45,2482,2483,2484,2486],{},"需要深度对接字节飞书 \u002F 抖音（",[578,2485,721],{"href":1652}," 原生）",[45,2488,2489,2490,2492],{},"工作流核心是连接 100+ SaaS（",[578,2491,14],{"href":1456}," 节点更全）",[27,2494,572],{"id":572},[42,2496,2497,2507,2519,2534],{},[45,2498,1445,2499,1369,2501,1369,2503,1369,2505],{},[578,2500,721],{"href":1652},[578,2502,1140],{"href":1139},[578,2504,14],{"href":1456},[578,2506,11],{"href":1437},[45,2508,2509,2510,1369,2512,1369,2514,1369,2517],{},"概念基础：",[578,2511,1463],{"href":1462},[578,2513,1467],{"href":1466},[578,2515,2516],{"href":1804},"MCP",[578,2518,1471],{"href":1470},[45,2520,2521,2522,1369,2526,1369,2530,1369,2532],{},"模型选型：",[578,2523,2525],{"href":2524},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[578,2527,2529],{"href":2528},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[578,2531,1485],{"href":1484},[578,2533,1493],{"href":1492},[45,2535,1496,2536,1369,2540],{},[578,2537,2539],{"href":2538},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[578,2541,1504],{"href":1503},[27,2543,593],{"id":593},[42,2545,2546,2553,2559,2565,2572],{},[45,2547,2548,2549],{},"官网：",[578,2550,2551],{"href":2551,"rel":2552},"https:\u002F\u002Fdify.ai",[603],[45,2554,2555,2556],{},"中文文档：",[578,2557,2397],{"href":2397,"rel":2558},[603],[45,2560,2561,2562],{},"GitHub：",[578,2563,1913],{"href":1913,"rel":2564},[603],[45,2566,2567,2568],{},"官方定价：",[578,2569,2570],{"href":2570,"rel":2571},"https:\u002F\u002Fdify.ai\u002Fpricing",[603],[45,2573,2574],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[32,2576,2577,2578,1540],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现版本号 \u002F 价格 \u002F 功能与最新官方信息不一致，请通过 ",[578,2579,1539],{"href":1539},[626,2581,2582],{},"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 .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":228,"searchDepth":257,"depth":257,"links":2584},[2585,2586,2593,2598,2599,2600,2601,2602,2603,2604],{"id":29,"depth":243,"text":30},{"id":779,"depth":243,"text":779,"children":2587},[2588,2589,2590,2591,2592],{"id":1663,"depth":257,"text":1664},{"id":1742,"depth":257,"text":1743},{"id":1779,"depth":257,"text":1780},{"id":1797,"depth":257,"text":1798},{"id":1820,"depth":257,"text":1821},{"id":1041,"depth":243,"text":1041,"children":2594},[2595,2596,2597],{"id":1829,"depth":257,"text":1830},{"id":1907,"depth":257,"text":1908},{"id":1995,"depth":257,"text":1996},{"id":1076,"depth":243,"text":1077},{"id":2157,"depth":243,"text":2157},{"id":1119,"depth":243,"text":1119},{"id":1311,"depth":243,"text":1311},{"id":542,"depth":243,"text":543},{"id":572,"depth":243,"text":572},{"id":593,"depth":243,"text":593},"\u002Fimg\u002Ftools\u002Fdify.webp","Dify 真实评测：开源 LLMOps 平台，工作流编排 + RAG + Agent + MCP 一体，13 万 GitHub star。AIHO 编辑部基于官方文档和社区资料整理，含部署、模型生态、与 Coze \u002F FastGPT 对比、避坑指南。",[1560,660,2608],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[2612,2613,2614,285],"windows","macos","linux","云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费",{"power":276,"ux":269,"price":276,"cn_support":269,"stability":269},{"title":345,"description":2606},[2619,2621,2623,2625,2627],{"title":2620,"url":2397},"Dify 官方文档（中文）",{"title":2622,"url":1913},"Dify GitHub",{"title":2624,"url":2570},"Dify 官方定价",{"title":2626,"url":1270},"Coze vs Dify vs FastGPT 选型",{"title":2628,"url":2629},"Dify Self-Hosted Guide 2026","https:\u002F\u002Fjoshuaopolko.com\u002Fdify-self-hosted-guide","tools\u002Fagent\u002Fplatform\u002Fdify","开源 LLMOps 平台，私有部署 Agent 首选",[1620,708,666,711,1622,2633,2634],"llmops","mcp","想私有部署、想接全球任意模型，Dify 是答案。比 Coze 工程化、上手陡一点；比 FastGPT 工作流强、RAG 略弱。","gwf4SBsWvfS9N5avQlKJfUT4wN-g6Is5WTUZgZy3AVo",{"id":2638,"title":1140,"alternatives":2639,"api_compatible":2642,"body":2644,"category":641,"chinese_friendly":276,"cover":3646,"description":3647,"domestic":644,"extension":645,"faq":22,"free":644,"github":3610,"languages":3648,"meta":3649,"models":3650,"navigation":272,"notSuitable":3654,"opensource":272,"path":3658,"pillar":664,"platforms":3659,"priceTable":3660,"pricing":3681,"published":1596,"relatedPlaybooks":22,"relatedReviews":22,"score":3682,"self_host":272,"seo":3683,"slug":724,"sources":3684,"stem":3695,"suitable":3696,"tagline":3702,"tags":3703,"updated":698,"verdict":3707,"website":3604,"__hash__":3708},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[723,1599,2640,2641],"agent\u002Fplatform\u002Fragflow","agent\u002Fplatform\u002Fanythingllm",[2643],"openai",{"type":24,"value":2645,"toc":3628},[2646,2648,2677,2688,2690,2694,2697,2711,2714,2740,2744,2751,2783,2790,2794,2847,2854,2857,2860,2863,2870,2916,2922,2926,2957,2961,3067,3070,3073,3077,3085,3207,3222,3224,3379,3387,3421,3427,3429,3503,3505,3507,3527,3529,3547,3549,3596,3598,3621,3626],[27,2647,30],{"id":29},[732,2649,2651,2666],{"className":2650},[735,736,737],[32,2652,2653,2655,2656,2661,2662,2665],{},[48,2654,742],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[578,2657,2660],{"href":2658,"rel":2659},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[603],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[48,2663,2664],{},"核心优势是 RAG 链路工程做得极细","——问题预处理、混合检索、重排序、上下文组装、答案生成每一步都可视化调参。",[32,2667,2668,2669,2672,2673,2676],{},"最大价值在 ",[48,2670,2671],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[48,2674,2675],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[148,2678,2679],{},[32,2680,2681,2682,2687],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[578,2683,2686],{"href":2684,"rel":2685},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[603],"南环 AI 2026-05 评测","、腾讯云开发者社区 2026-03 部署教程综合整理。版本迭代较快，命令和价格请以最新官方文档为准。",[27,2689,779],{"id":779},[781,2691,2693],{"id":2692},"知识库管理核心能力","知识库管理（核心能力）",[32,2695,2696],{},"支持文件类型：",[42,2698,2699,2702,2705,2708],{},[45,2700,2701],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[45,2703,2704],{},"表格：Excel \u002F CSV",[45,2706,2707],{},"网页：URL 抓取 + 定时同步",[45,2709,2710],{},"API：通过接口推送内容",[32,2712,2713],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[42,2715,2716,2722,2728,2734],{},[45,2717,2718,2721],{},[48,2719,2720],{},"文件夹分组","：不同主题 \u002F 部门分类",[45,2723,2724,2727],{},[48,2725,2726],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[45,2729,2730,2733],{},[48,2731,2732],{},"批量导入","：脚本化大批量同步",[45,2735,2736,2739],{},[48,2737,2738],{},"定时同步","：网页源自动更新",[781,2741,2743],{"id":2742},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[32,2745,2746,2750],{},[578,2747,2749],{"href":2684,"rel":2748},[603],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[302,2752,2753,2759,2765,2771,2777],{},[45,2754,2755,2758],{},[48,2756,2757],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[45,2760,2761,2764],{},[48,2762,2763],{},"检索策略","：语义检索 \u002F 关键词 BM25 \u002F 混合检索，可调相似度阈值",[45,2766,2767,2770],{},[48,2768,2769],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[45,2772,2773,2776],{},[48,2774,2775],{},"上下文组装","：最优 chunk + 问题 → prompt",[45,2778,2779,2782],{},[48,2780,2781],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[32,2784,2785,2786,2789],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[48,2787,2788],{},"纯知识库 QA 精度","上更高的原因。",[781,2791,2793],{"id":2792},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[329,2795,2796,2806],{},[332,2797,2798],{},[335,2799,2800,2803],{},[338,2801,2802],{},"模型类别",[338,2804,2805],{},"支持",[352,2807,2808,2816,2823,2831,2839],{},[335,2809,2810,2813],{},[357,2811,2812],{},"国产闭源",[357,2814,2815],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[335,2817,2818,2820],{},[357,2819,376],{},[357,2821,2822],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[335,2824,2825,2828],{},[357,2826,2827],{},"OpenAI 系",[357,2829,2830],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[335,2832,2833,2836],{},[357,2834,2835],{},"Claude 系",[357,2837,2838],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[335,2840,2841,2844],{},[357,2842,2843],{},"嵌入 \u002F 重排",[357,2845,2846],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[32,2848,2849,2850,2853],{},"可以在 ",[48,2851,2852],{},"应用级别","为不同知识库 \u002F 不同场景配置不同模型，做\"低成本 embedding + 高质量 LLM 生成\"组合。",[781,2855,2856],{"id":2856},"工作流与高级编排",[32,2858,2859],{},"新版本（v4.14.x）支持类似 Dify 的工作流节点编排——条件分支、循环、HTTP 调用、代码节点。能做\"分类 → 路由到不同子知识库 → 不同模型回答\"这类复杂场景。",[781,2861,2862],{"id":2862},"多向量库选择",[32,2864,2865,2869],{},[578,2866,2868],{"href":2658,"rel":2867},[603],"腾讯云教程"," 公开的 4 种向量后端：",[329,2871,2872,2882],{},[332,2873,2874],{},[335,2875,2876,2879],{},[338,2877,2878],{},"后端",[338,2880,2881],{},"适用",[352,2883,2884,2892,2900,2908],{},[335,2885,2886,2889],{},[357,2887,2888],{},"PgVector",[357,2890,2891],{},"5000 万索引以下，新手 \u002F 小规模",[335,2893,2894,2897],{},[357,2895,2896],{},"Milvus",[357,2898,2899],{},"亿级以上，高性能",[335,2901,2902,2905],{},[357,2903,2904],{},"Zilliz Cloud",[357,2906,2907],{},"Milvus 全托管 SaaS",[335,2909,2910,2913],{},[357,2911,2912],{},"SeekDB \u002F OceanBase",[357,2914,2915],{},"企业级国产化",[32,2917,2918,2919,1038],{},"部署时选对应 ",[230,2920,2921],{},"docker-compose.{pgvector|milvus|...}.yml",[781,2923,2925],{"id":2924},"api-与-mcp","API 与 MCP",[42,2927,2928,2934,2940,2951],{},[45,2929,2930,2933],{},[48,2931,2932],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[45,2935,2936,2939],{},[48,2937,2938],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[45,2941,2942,2945,2946,2950],{},[48,2943,2944],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[578,2947,2949],{"href":2948},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[45,2952,2953,2956],{},[48,2954,2955],{},"Webhook","：回调通知",[27,2958,2960],{"id":2959},"部署-10-分钟docker","部署 10 分钟（Docker）",[223,2962,2964],{"className":225,"code":2963,"language":227,"meta":228,"style":228},"# 克隆代码\ngit clone https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\ncd FastGPT\n\n# 切到最新稳定版（参考 GitHub releases）\ngit switch -c 4.14.7.2\n\n# 选向量库版本（个人 \u002F 小规模选 pg）\ncd deploy\u002Fdocker\u002Fcn\nwget https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n\n# 启动\ndocker-compose -f docker-compose.pg.yml up -d\n\n# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[230,2965,2966,2971,2980,2987,2991,2996,3009,3013,3018,3025,3033,3037,3042,3057,3061],{"__ignoreMap":228},[233,2967,2968],{"class":235,"line":236},[233,2969,2970],{"class":239},"# 克隆代码\n",[233,2972,2973,2975,2977],{"class":235,"line":243},[233,2974,1926],{"class":246},[233,2976,1929],{"class":250},[233,2978,2979],{"class":250}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[233,2981,2982,2984],{"class":235,"line":257},[233,2983,1937],{"class":290},[233,2985,2986],{"class":250}," FastGPT\n",[233,2988,2989],{"class":235,"line":269},[233,2990,273],{"emptyLinePlaceholder":272},[233,2992,2993],{"class":235,"line":276},[233,2994,2995],{"class":239},"# 切到最新稳定版（参考 GitHub releases）\n",[233,2997,2998,3000,3003,3006],{"class":235,"line":282},[233,2999,1926],{"class":246},[233,3001,3002],{"class":250}," switch",[233,3004,3005],{"class":290}," -c",[233,3007,3008],{"class":290}," 4.14.7.2\n",[233,3010,3011],{"class":235,"line":5},[233,3012,273],{"emptyLinePlaceholder":272},[233,3014,3015],{"class":235,"line":8},[233,3016,3017],{"class":239},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[233,3019,3020,3022],{"class":235,"line":2124},[233,3021,1937],{"class":290},[233,3023,3024],{"class":250}," deploy\u002Fdocker\u002Fcn\n",[233,3026,3027,3030],{"class":235,"line":7},[233,3028,3029],{"class":246},"wget",[233,3031,3032],{"class":250}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[233,3034,3035],{"class":235,"line":2134},[233,3036,273],{"emptyLinePlaceholder":272},[233,3038,3039],{"class":235,"line":2139},[233,3040,3041],{"class":239},"# 启动\n",[233,3043,3044,3047,3050,3053,3055],{"class":235,"line":2145},[233,3045,3046],{"class":246},"docker-compose",[233,3048,3049],{"class":290}," -f",[233,3051,3052],{"class":250}," docker-compose.pg.yml",[233,3054,1961],{"class":250},[233,3056,1964],{"class":290},[233,3058,3059],{"class":235,"line":2151},[233,3060,273],{"emptyLinePlaceholder":272},[233,3062,3064],{"class":235,"line":3063},15,[233,3065,3066],{"class":239},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[32,3068,3069],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[32,3071,3072],{},"进入后台 → 账号 → 模型提供商 → 配置至少 1 个对话模型 + 1 个嵌入模型 → 即可开始建知识库。",[27,3074,3076],{"id":3075},"云版-vs-自托管对比","云版 vs 自托管对比",[32,3078,3079,3084],{},[578,3080,3083],{"href":3081,"rel":3082},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[603],"fastgpt.io 官方定价"," 公开数据：",[329,3086,3087,3112],{},[332,3088,3089],{},[335,3090,3091,3093,3095,3098,3101,3104,3106,3109],{},[338,3092,1848],{},[338,3094,120],{},[338,3096,3097],{},"AI 积分",[338,3099,3100],{},"知识库索引",[338,3102,3103],{},"团队",[338,3105,1704],{},[338,3107,3108],{},"知识库",[338,3110,3111],{},"QPM",[352,3113,3114,3138,3163,3187],{},[335,3115,3116,3118,3120,3123,3126,3129,3132,3135],{},[357,3117,1863],{},[357,3119,1577],{},[357,3121,3122],{},"100",[357,3124,3125],{},"600",[357,3127,3128],{},"1",[357,3130,3131],{},"10",[357,3133,3134],{},"3",[357,3136,3137],{},"30",[335,3139,3140,3143,3146,3149,3152,3155,3158,3160],{},[357,3141,3142],{},"基础",[357,3144,3145],{},"¥99\u002F月",[357,3147,3148],{},"4000",[357,3150,3151],{},"6000",[357,3153,3154],{},"5",[357,3156,3157],{},"50",[357,3159,3137],{},[357,3161,3162],{},"300",[335,3164,3165,3168,3171,3174,3177,3179,3182,3184],{},[357,3166,3167],{},"高级",[357,3169,3170],{},"¥599\u002F月",[357,3172,3173],{},"25000",[357,3175,3176],{},"36000",[357,3178,3157],{},[357,3180,3181],{},"200",[357,3183,3122],{},[357,3185,3186],{},"1500",[335,3188,3189,3192,3194,3197,3199,3201,3203,3205],{},[357,3190,3191],{},"定制",[357,3193,1587],{},[357,3195,3196],{},"弹性",[357,3198,3196],{},[357,3200,3196],{},[357,3202,3196],{},[357,3204,3196],{},[357,3206,3196],{},[32,3208,3209,3212,3213,3216,3217,3221],{},[48,3210,3211],{},"云版适合","：不想运维、量小、要快速上线\n",[48,3214,3215],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[578,3218,3220],{"href":2684,"rel":3219},[603],"南环评测"," 估算：\"日均 10 万次问答的企业场景，商业 SaaS 年费数十万，自建 FastGPT + 开源模型只需数万硬件投入\"",[27,3223,1119],{"id":1119},[329,3225,3226,3248],{},[332,3227,3228],{},[335,3229,3230,3232,3234,3238,3242,3245],{},[338,3231,340],{},[338,3233,1140],{},[338,3235,3236],{},[578,3237,345],{"href":1134},[338,3239,3240],{},[578,3241,721],{"href":1652},[338,3243,3244],{},"RAGFlow",[338,3246,3247],{},"AnythingLLM",[352,3249,3250,3270,3285,3300,3317,3332,3348,3363],{},[335,3251,3252,3255,3258,3261,3264,3267],{},[357,3253,3254],{},"核心定位",[357,3256,3257],{},"知识库 QA",[357,3259,3260],{},"综合 LLMOps",[357,3262,3263],{},"Bot + 工作流",[357,3265,3266],{},"文档解析+RAG",[357,3268,3269],{},"桌面级 KB",[335,3271,3272,3274,3277,3279,3281,3283],{},[357,3273,376],{},[357,3275,3276],{},"✅ Apache 2.0",[357,3278,3276],{},[357,3280,985],{},[357,3282,3276],{},[357,3284,379],{},[335,3286,3287,3289,3292,3294,3296,3298],{},[357,3288,1165],{},[357,3290,3291],{},"★★★★★ docker",[357,3293,1202],{},[357,3295,1168],{},[357,3297,1199],{},[357,3299,1202],{},[335,3301,3302,3305,3308,3310,3312,3315],{},[357,3303,3304],{},"RAG 深度",[357,3306,3307],{},"★★★★★ 最细",[357,3309,1199],{},[357,3311,1205],{},[357,3313,3314],{},"★★★★★ 文档解析最强",[357,3316,1205],{},[335,3318,3319,3322,3324,3326,3328,3330],{},[357,3320,3321],{},"工作流",[357,3323,1199],{},[357,3325,1202],{},[357,3327,1199],{},[357,3329,1205],{},[357,3331,2275],{},[335,3333,3334,3336,3339,3341,3344,3346],{},[357,3335,221],{},[357,3337,3338],{},"★★★☆☆ 需 docker",[357,3340,1199],{},[357,3342,3343],{},"★★★★★ 最简单",[357,3345,1205],{},[357,3347,1199],{},[335,3349,3350,3353,3355,3357,3359,3361],{},[357,3351,3352],{},"中文优化",[357,3354,1202],{},[357,3356,1199],{},[357,3358,1202],{},[357,3360,1199],{},[357,3362,1205],{},[335,3364,3365,3368,3371,3373,3375,3377],{},[357,3366,3367],{},"多平台发布",[357,3369,3370],{},"⚠️ API 为主",[357,3372,1199],{},[357,3374,1202],{},[357,3376,1175],{},[357,3378,1175],{},[32,3380,3381,1267,3383,810],{},[48,3382,1266],{},[578,3384,3386],{"href":2684,"rel":3385},[603],"南环 AI 评测",[42,3388,3389,3395,3402,3409,3415],{},[45,3390,3391,3394],{},[48,3392,3393],{},"核心需求是 RAG 精度"," → FastGPT",[45,3396,3397,1291,3400],{},[48,3398,3399],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[578,3401,345],{"href":1134},[45,3403,3404,1291,3407],{},[48,3405,3406],{},"零代码、快速发布到飞书 \u002F 微信",[578,3408,721],{"href":1652},[45,3410,3411,3414],{},[48,3412,3413],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[45,3416,3417,3420],{},[48,3418,3419],{},"桌面 \u002F 单机使用"," → AnythingLLM",[32,3422,3423,3426],{},[48,3424,3425],{},"很多企业同时用","：FastGPT 做知识库底座 + Coze 做前端 Bot 发布 \u002F 工作流编排。",[27,3428,1311],{"id":1311},[42,3430,3431,3444,3453,3459,3469,3481,3487,3493],{},[45,3432,3433,2381,3436,3439,3440,3443],{},[48,3434,3435],{},"docker-compose 镜像 tag 不一致",[578,3437,2868],{"href":2658,"rel":3438},[603]," 实测的坑——某些版本编排文件的 image tag 与最新 release 不一致，启动报\"镜像找不到\"，手动改 ",[230,3441,3442],{},"image:"," 行为正确版本即可",[45,3445,3446,3449,3450,3452],{},[48,3447,3448],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[230,3451,3046],{}," 的 ports 映射端口",[45,3454,3455,3458],{},[48,3456,3457],{},"PostgreSQL pgvector 不够用就换 Milvus","：单库索引超 5000 万时 pgvector 查询性能下降，切 Milvus",[45,3460,3461,3464,3465,3468],{},[48,3462,3463],{},"向量库选错代价大","：先评估索引量再选向量后端，迁移要重新 embedding 整库，按 ",[578,3466,3220],{"href":2684,"rel":3467},[603],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[45,3470,3471,2381,3474,3477,3478],{},[48,3472,3473],{},"MinIO 默认密码",[230,3475,3476],{},"minioadmin\u002Fminioadmin","，",[48,3479,3480],{},"部署到公网前必须改",[45,3482,3483,3486],{},[48,3484,3485],{},"分段策略影响巨大","：默认分段对长法律 \u002F 医疗文档不友好，需调\"按章节\"或\"自定义\"",[45,3488,3489,3492],{},[48,3490,3491],{},"嵌入模型 ≠ 对话模型","：经常有人只配 GPT-4 没配 embedding 模型，知识库无法索引——必须同时配两类",[45,3494,3495,3498,3499,1344],{},[48,3496,3497],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[578,3500,3502],{"href":3081,"rel":3501},[603],"fastgpt.io 定价 FAQ",[27,3504,543],{"id":542},[32,3506,1389],{},[42,3508,3509,3512,3515,3518,3521,3524],{},[45,3510,3511],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[45,3513,3514],{},"产品 FAQ \u002F 用户手册问答",[45,3516,3517],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[45,3519,3520],{},"数据严格不出网 + Apache 2.0 商用",[45,3522,3523],{},"有 docker 运维基础的技术团队",[45,3525,3526],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[32,3528,1409],{},[42,3530,3531,3536,3541,3544],{},[45,3532,3533,3534,1344],{},"完全非技术用户（去 ",[578,3535,721],{"href":1652},[45,3537,3538,3539,1344],{},"主要需求是工作流 + 插件集成（去 ",[578,3540,345],{"href":1134},[45,3542,3543],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[45,3545,3546],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[27,3548,572],{"id":572},[42,3550,3551,3560,3576,3590],{},[45,3552,1445,3553,1369,3555,3557,3558],{},[578,3554,345],{"href":1134},[578,3556,721],{"href":1652}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[578,3559,14],{"href":1456},[45,3561,1459,3562,1369,3564,1369,3568,1369,3571,1369,3574],{},[578,3563,1467],{"href":1466},[578,3565,3567],{"href":3566},"\u002Fwiki\u002Fembedding.html","Embedding",[578,3569,3570],{"href":3566},"Vector Database",[578,3572,3573],{"href":1466},"Reranker",[578,3575,1463],{"href":1462},[45,3577,1477,3578,1369,3580,1369,3582,1369,3584,1369,3588],{},[578,3579,1485],{"href":1484},[578,3581,1489],{"href":1488},[578,3583,1493],{"href":1492},[578,3585,3587],{"href":3586},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[578,3589,1481],{"href":1480},[45,3591,1496,3592,1369,3594],{},[578,3593,1504],{"href":1503},[578,3595,1500],{"href":1499},[27,3597,593],{"id":593},[42,3599,3600,3606,3612,3618],{},[45,3601,2548,3602],{},[578,3603,3604],{"href":3604,"rel":3605},"https:\u002F\u002Ffastgpt.io",[603],[45,3607,2561,3608],{},[578,3609,3610],{"href":3610,"rel":3611},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[603],[45,3613,3614,3615],{},"定价：",[578,3616,3081],{"href":3081,"rel":3617},[603],[45,3619,3620],{},"第三方评测：南环 AI \u002F 腾讯云开发者社区 \u002F 飞书 AGI 掘金知识库",[32,3622,3623,3624,1540],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 命令 \u002F 功能与最新官方信息不一致，请通过 ",[578,3625,1539],{"href":1539},[626,3627,628],{},{"title":228,"searchDepth":257,"depth":257,"links":3629},[3630,3631,3639,3640,3641,3642,3643,3644,3645],{"id":29,"depth":243,"text":30},{"id":779,"depth":243,"text":779,"children":3632},[3633,3634,3635,3636,3637,3638],{"id":2692,"depth":257,"text":2693},{"id":2742,"depth":257,"text":2743},{"id":2792,"depth":257,"text":2793},{"id":2856,"depth":257,"text":2856},{"id":2862,"depth":257,"text":2862},{"id":2924,"depth":257,"text":2925},{"id":2959,"depth":243,"text":2960},{"id":3075,"depth":243,"text":3076},{"id":1119,"depth":243,"text":1119},{"id":1311,"depth":243,"text":1311},{"id":542,"depth":243,"text":543},{"id":572,"depth":243,"text":572},{"id":593,"depth":243,"text":593},"\u002Fimg\u002Ftools\u002Ffastgpt.webp","FastGPT 真实评测：开源 LLM 知识库 RAG 平台，labring 团队出品，27k+ GitHub star。一键 docker-compose 部署、RAG 流程编排可视化、多向量库支持。AIHO 编辑部基于官方文档与社区资料整理，含与 Dify\u002FCoze 对比、避坑指南。",[1560,660],{},[1564,1565,1563,3651,3652,3653],"gpt-4o","claude-sonnet-4","kimi",[3655,3656,3657],"完全零代码 \u002F 不懂 docker 的用户（去 Coze）","Bot 多平台一键发布场景（Coze 强项）","插件 \u002F 工作流复杂集成（去 Dify）","\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt",[2612,2613,2614],[3661,3665,3669,3673,3677],{"plan":3662,"price":1863,"limit":3663,"cn_pay":1579,"note":3664},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":3666,"price":3667,"limit":3668,"cn_pay":1579,"note":676},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库",{"plan":3670,"price":3145,"limit":3671,"cn_pay":1584,"note":3672},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":3674,"price":3170,"limit":3675,"cn_pay":403,"note":3676},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":3678,"price":1587,"limit":3679,"cn_pay":403,"note":3680},"云定制版","弹性资源 + 深度技术支持 + 专属客户经理","中大型企业","自托管开源免费 \u002F 云版 ¥0-¥599\u002F月",{"power":269,"ux":269,"price":276,"cn_support":276,"stability":269},{"title":1140,"description":3647},[3685,3687,3689,3691,3693],{"title":3686,"url":3604},"FastGPT 官网",{"title":3688,"url":3610},"FastGPT GitHub",{"title":3690,"url":3081},"FastGPT 定价页",{"title":3692,"url":2684},"FastGPT 2025 测评（南环 AI）",{"title":3694,"url":2658},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[3697,3698,3699,3700,3701],"企业内部知识库（员工手册、规章、流程）","产品文档智能问答（FAQ \u002F 用户手册）","垂直领域知识库（医疗、法律、金融）","数据严格不出网的合规场景","需要精细 RAG 流程编排（重排序、混合检索、阈值调节）","开源知识库问答系统，国内私有部署友好",[1620,708,666,711,3704,3705,3706],"china","knowledge-base","labring","国内企业知识库私有化首选。RAG 召回工程做得很细，可视化调试好用，docker-compose 一键部署。生态插件不如 Dify 丰富。","3Y-t3FufM7dDfe0ULmUOTcEtW1ydhA6kARH98gHmn7E",{"id":10,"title":11,"alternatives":3710,"api_compatible":22,"body":3714,"category":641,"chinese_friendly":257,"cover":642,"description":643,"domestic":644,"extension":645,"faq":4138,"free":644,"github":22,"languages":4143,"meta":4144,"models":22,"navigation":272,"notSuitable":22,"opensource":272,"path":663,"pillar":664,"platforms":4145,"priceTable":4146,"pricing":685,"published":686,"relatedPlaybooks":4151,"relatedReviews":22,"score":4153,"self_host":272,"seo":4154,"slug":693,"sources":4155,"stem":705,"suitable":22,"tagline":706,"tags":4160,"updated":698,"verdict":713,"website":697,"__hash__":714},[3711,3712,3713],{"name":14,"url":15},{"name":17,"url":18},{"name":20,"url":21},{"type":24,"value":3715,"toc":4126},[3716,3718,3720,3722,3724,3774,3776,3794,3798,3800,3804,3822,3826,3844,3846,3890,3892,3908,3910,4024,4026,4064,4066,4084,4086,4100,4102,4124],[27,3717,30],{"id":29},[32,3719,34],{},[32,3721,37],{},[27,3723,40],{"id":40},[42,3725,3726,3730,3734,3738,3742,3746,3750,3754,3758,3762,3766,3770],{},[45,3727,3728,51],{},[48,3729,50],{},[45,3731,3732,57],{},[48,3733,56],{},[45,3735,3736,63],{},[48,3737,62],{},[45,3739,3740,69],{},[48,3741,68],{},[45,3743,3744,75],{},[48,3745,74],{},[45,3747,3748,81],{},[48,3749,80],{},[45,3751,3752,87],{},[48,3753,86],{},[45,3755,3756,93],{},[48,3757,92],{},[45,3759,3760,99],{},[48,3761,98],{},[45,3763,3764,105],{},[48,3765,104],{},[45,3767,3768,111],{},[48,3769,110],{},[45,3771,3772,117],{},[48,3773,116],{},[27,3775,120],{"id":120},[42,3777,3778,3782,3786,3790],{},[45,3779,3780,128],{},[48,3781,127],{},[45,3783,3784,134],{},[48,3785,133],{},[45,3787,3788,140],{},[48,3789,139],{},[45,3791,3792,146],{},[48,3793,145],{},[148,3795,3796],{},[32,3797,152],{},[27,3799,156],{"id":155},[32,3801,3802],{},[48,3803,161],{},[42,3805,3806,3808,3810,3812,3814,3816,3818,3820],{},[45,3807,166],{},[45,3809,169],{},[45,3811,172],{},[45,3813,175],{},[45,3815,178],{},[45,3817,181],{},[45,3819,184],{},[45,3821,187],{},[32,3823,3824],{},[48,3825,192],{},[42,3827,3828,3830,3832,3834,3836,3838,3840,3842],{},[45,3829,197],{},[45,3831,200],{},[45,3833,203],{},[45,3835,206],{},[45,3837,209],{},[45,3839,212],{},[45,3841,215],{},[45,3843,218],{},[27,3845,221],{"id":221},[223,3847,3848],{"className":225,"code":226,"language":227,"meta":228,"style":228},[230,3849,3850,3854,3862,3870,3874,3878],{"__ignoreMap":228},[233,3851,3852],{"class":235,"line":236},[233,3853,240],{"class":239},[233,3855,3856,3858,3860],{"class":235,"line":243},[233,3857,247],{"class":246},[233,3859,251],{"class":250},[233,3861,254],{"class":250},[233,3863,3864,3866,3868],{"class":235,"line":257},[233,3865,260],{"class":246},[233,3867,263],{"class":250},[233,3869,266],{"class":239},[233,3871,3872],{"class":235,"line":269},[233,3873,273],{"emptyLinePlaceholder":272},[233,3875,3876],{"class":235,"line":276},[233,3877,279],{"class":239},[233,3879,3880,3882,3884,3886,3888],{"class":235,"line":282},[233,3881,285],{"class":246},[233,3883,263],{"class":250},[233,3885,291],{"class":290},[233,3887,294],{"class":250},[233,3889,297],{"class":250},[32,3891,300],{},[302,3893,3894,3896,3898,3900,3902,3904,3906],{},[45,3895,306],{},[45,3897,309],{},[45,3899,312],{},[45,3901,315],{},[45,3903,318],{},[45,3905,321],{},[45,3907,324],{},[27,3909,327],{"id":327},[329,3911,3912,3926],{},[332,3913,3914],{},[335,3915,3916,3918,3920,3922,3924],{},[338,3917,340],{},[338,3919,11],{},[338,3921,345],{},[338,3923,14],{},[338,3925,350],{},[352,3927,3928,3940,3952,3964,3976,3988,4000,4012],{},[335,3929,3930,3932,3934,3936,3938],{},[357,3931,359],{},[357,3933,362],{},[357,3935,365],{},[357,3937,368],{},[357,3939,371],{},[335,3941,3942,3944,3946,3948,3950],{},[357,3943,376],{},[357,3945,379],{},[357,3947,382],{},[357,3949,385],{},[357,3951,379],{},[335,3953,3954,3956,3958,3960,3962],{},[357,3955,392],{},[357,3957,395],{},[357,3959,398],{},[357,3961,398],{},[357,3963,403],{},[335,3965,3966,3968,3970,3972,3974],{},[357,3967,408],{},[357,3969,411],{},[357,3971,403],{},[357,3973,403],{},[357,3975,403],{},[335,3977,3978,3980,3982,3984,3986],{},[357,3979,422],{},[357,3981,425],{},[357,3983,428],{},[357,3985,431],{},[357,3987,431],{},[335,3989,3990,3992,3994,3996,3998],{},[357,3991,438],{},[357,3993,403],{},[357,3995,403],{},[357,3997,428],{},[357,3999,403],{},[335,4001,4002,4004,4006,4008,4010],{},[357,4003,451],{},[357,4005,454],{},[357,4007,457],{},[357,4009,460],{},[357,4011,463],{},[335,4013,4014,4016,4018,4020,4022],{},[357,4015,468],{},[357,4017,471],{},[357,4019,474],{},[357,4021,477],{},[357,4023,480],{},[27,4025,483],{"id":483},[42,4027,4028,4032,4036,4040,4044,4048,4052,4056,4060],{},[45,4029,4030,491],{},[48,4031,490],{},[45,4033,4034,497],{},[48,4035,496],{},[45,4037,4038,503],{},[48,4039,502],{},[45,4041,4042,509],{},[48,4043,508],{},[45,4045,4046,515],{},[48,4047,514],{},[45,4049,4050,521],{},[48,4051,520],{},[45,4053,4054,527],{},[48,4055,526],{},[45,4057,4058,533],{},[48,4059,532],{},[45,4061,4062,539],{},[48,4063,538],{},[27,4065,543],{"id":542},[42,4067,4068,4070,4072,4074,4076,4078,4080,4082],{},[45,4069,548],{},[45,4071,551],{},[45,4073,554],{},[45,4075,557],{},[45,4077,560],{},[45,4079,563],{},[45,4081,566],{},[45,4083,569],{},[27,4085,572],{"id":572},[42,4087,4088,4092,4096],{},[45,4089,4090],{},[578,4091,580],{"href":15},[45,4093,4094],{},[578,4095,585],{"href":18},[45,4097,4098],{},[578,4099,590],{"href":21},[27,4101,593],{"id":593},[302,4103,4104,4109,4114,4119],{},[45,4105,598,4106],{},[578,4107,601],{"href":601,"rel":4108},[603],[45,4110,606,4111],{},[578,4112,609],{"href":609,"rel":4113},[603],[45,4115,613,4116],{},[578,4117,616],{"href":616,"rel":4118},[603],[45,4120,620,4121],{},[578,4122,623],{"href":623,"rel":4123},[603],[626,4125,628],{},{"title":228,"searchDepth":257,"depth":257,"links":4127},[4128,4129,4130,4131,4132,4133,4134,4135,4136,4137],{"id":29,"depth":243,"text":30},{"id":40,"depth":243,"text":40},{"id":120,"depth":243,"text":120},{"id":155,"depth":243,"text":156},{"id":221,"depth":243,"text":221},{"id":327,"depth":243,"text":327},{"id":483,"depth":243,"text":483},{"id":542,"depth":243,"text":543},{"id":572,"depth":243,"text":572},{"id":593,"depth":243,"text":593},[4139,4140,4141,4142],{"q":648,"a":649},{"q":651,"a":652},{"q":654,"a":655},{"q":657,"a":658},[660,661],{},[666,667,285,668],[4147,4148,4149,4150],{"plan":127,"price":671,"features":672,"notes":673},{"plan":133,"price":671,"features":675,"notes":676},{"plan":139,"price":678,"features":679,"notes":680},{"plan":145,"price":682,"features":683,"notes":684},[4152],{"name":689,"url":690},{"power":269,"ux":276,"price":276,"cn_support":257,"stability":269},{"title":11,"description":643},[4156,4157,4158,4159],{"name":696,"url":697,"accessed":698},{"name":700,"url":609,"accessed":698},{"name":702,"url":616,"accessed":698},{"name":704,"url":623,"accessed":698},[708,709,710,711,712,260],{"id":4162,"title":14,"alternatives":4163,"api_compatible":22,"body":4167,"category":641,"chinese_friendly":257,"cover":4815,"description":4816,"domestic":644,"extension":645,"faq":4817,"free":644,"github":22,"languages":4830,"meta":4831,"models":22,"navigation":272,"notSuitable":22,"opensource":272,"path":15,"pillar":664,"platforms":4832,"priceTable":4833,"pricing":4849,"published":686,"relatedPlaybooks":4850,"relatedReviews":22,"score":4854,"self_host":272,"seo":4855,"slug":1631,"sources":4856,"stem":4865,"suitable":22,"tagline":4866,"tags":4867,"updated":698,"verdict":4869,"website":4777,"__hash__":4870},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[4164,4165,4166],{"name":260,"url":663},{"name":17,"url":18},{"name":20,"url":21},{"type":24,"value":4168,"toc":4803},[4169,4171,4174,4177,4179,4253,4255,4280,4285,4289,4293,4319,4323,4349,4353,4478,4481,4509,4512,4514,4660,4662,4723,4725,4751,4753,4768,4770,4800],[27,4170,30],{"id":29},[32,4172,4173],{},"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。",[32,4175,4176],{},"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）。",[27,4178,40],{"id":40},[42,4180,4181,4187,4193,4199,4205,4211,4217,4223,4229,4235,4241,4247],{},[45,4182,4183,4186],{},[48,4184,4185],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[45,4188,4189,4192],{},[48,4190,4191],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[45,4194,4195,4198],{},[48,4196,4197],{},"原生 MCP","：MCP server 一键挂载到 agent",[45,4200,4201,4204],{},[48,4202,4203],{},"Ollama 集成","：本地 LLM 零 API 成本",[45,4206,4207,4210],{},[48,4208,4209],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[45,4212,4213,4216],{},[48,4214,4215],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[45,4218,4219,4222],{},[48,4220,4221],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[45,4224,4225,4228],{},[48,4226,4227],{},"多分支并行 + 错误处理","：production workflow 必备",[45,4230,4231,4234],{},[48,4232,4233],{},"版本控制 + Git Sync","：workflow as code",[45,4236,4237,4240],{},[48,4238,4239],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[45,4242,4243,4246],{},[48,4244,4245],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[45,4248,4249,4252],{},[48,4250,4251],{},"5800+ 社区 workflow","：clone 即用",[27,4254,120],{"id":120},[42,4256,4257,4263,4269,4275],{},[45,4258,4259,4262],{},[48,4260,4261],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[45,4264,4265,4268],{},[48,4266,4267],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[45,4270,4271,4274],{},[48,4272,4273],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[45,4276,4277,4279],{},[48,4278,145],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[148,4281,4282],{},[32,4283,4284],{},"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。",[27,4286,4288],{"id":4287},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[32,4290,4291],{},[48,4292,161],{},[42,4294,4295,4298,4301,4304,4307,4310,4313,4316],{},[45,4296,4297],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[45,4299,4300],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[45,4302,4303],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[45,4305,4306],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[45,4308,4309],{},"5800+ 社区 workflow 节省 80% 上手时间",[45,4311,4312],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[45,4314,4315],{},"升级 Docker tag 一行，无 vendor 升级费",[45,4317,4318],{},"中文社区 \u002F B 站教程丰富",[32,4320,4321],{},[48,4322,192],{},[42,4324,4325,4328,4331,4334,4337,4340,4343,4346],{},[45,4326,4327],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[45,4329,4330],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[45,4332,4333],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[45,4335,4336],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[45,4338,4339],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[45,4341,4342],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[45,4344,4345],{},"Webhook 公网暴露要加 IP 白名单 + secret",[45,4347,4348],{},"Worker 模式才能并发，单进程吞吐有限",[27,4350,4352],{"id":4351},"上手docker-5-分钟","上手（Docker 5 分钟）",[223,4354,4356],{"className":225,"code":4355,"language":227,"meta":228,"style":228},"# 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",[230,4357,4358,4363,4373,4377,4381,4393,4403,4413,4426,4435,4444,4454,4464,4469,4473],{"__ignoreMap":228},[233,4359,4360],{"class":235,"line":236},[233,4361,4362],{"class":239},"# 持久化目录\n",[233,4364,4365,4368,4370],{"class":235,"line":243},[233,4366,4367],{"class":246},"mkdir",[233,4369,291],{"class":290},[233,4371,4372],{"class":250}," ~\u002Fn8n-data\n",[233,4374,4375],{"class":235,"line":257},[233,4376,273],{"emptyLinePlaceholder":272},[233,4378,4379],{"class":235,"line":269},[233,4380,3041],{"class":239},[233,4382,4383,4385,4387,4390],{"class":235,"line":276},[233,4384,285],{"class":246},[233,4386,263],{"class":250},[233,4388,4389],{"class":290}," -d",[233,4391,4392],{"class":290}," \\\n",[233,4394,4395,4398,4401],{"class":235,"line":282},[233,4396,4397],{"class":290},"  --name",[233,4399,4400],{"class":250}," n8n",[233,4402,4392],{"class":290},[233,4404,4405,4408,4411],{"class":235,"line":5},[233,4406,4407],{"class":290},"  -p",[233,4409,4410],{"class":250}," 5678:5678",[233,4412,4392],{"class":290},[233,4414,4415,4418,4421,4424],{"class":235,"line":8},[233,4416,4417],{"class":290},"  -e",[233,4419,4420],{"class":250}," N8N_BASIC_AUTH_ACTIVE=",[233,4422,4423],{"class":290},"true",[233,4425,4392],{"class":290},[233,4427,4428,4430,4433],{"class":235,"line":2124},[233,4429,4417],{"class":290},[233,4431,4432],{"class":250}," N8N_BASIC_AUTH_USER=admin",[233,4434,4392],{"class":290},[233,4436,4437,4439,4442],{"class":235,"line":7},[233,4438,4417],{"class":290},[233,4440,4441],{"class":250}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[233,4443,4392],{"class":290},[233,4445,4446,4449,4452],{"class":235,"line":2134},[233,4447,4448],{"class":290},"  -v",[233,4450,4451],{"class":250}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[233,4453,4392],{"class":290},[233,4455,4456,4459,4462],{"class":235,"line":2139},[233,4457,4458],{"class":290},"  --restart",[233,4460,4461],{"class":250}," always",[233,4463,4392],{"class":290},[233,4465,4466],{"class":235,"line":2145},[233,4467,4468],{"class":250},"  n8nio\u002Fn8n\n",[233,4470,4471],{"class":235,"line":2151},[233,4472,273],{"emptyLinePlaceholder":272},[233,4474,4475],{"class":235,"line":3063},[233,4476,4477],{"class":239},"# http:\u002F\u002Flocalhost:5678\n",[32,4479,4480],{},"连 Ollama：",[223,4482,4484],{"className":225,"code":4483,"language":227,"meta":228,"style":228},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[230,4485,4486,4494,4504],{"__ignoreMap":228},[233,4487,4488,4491],{"class":235,"line":236},[233,4489,4490],{"class":246},"ollama",[233,4492,4493],{"class":250}," serve\n",[233,4495,4496,4498,4501],{"class":235,"line":243},[233,4497,4490],{"class":246},[233,4499,4500],{"class":250}," pull",[233,4502,4503],{"class":250}," llama3.2\n",[233,4505,4506],{"class":235,"line":257},[233,4507,4508],{"class":239},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[32,4510,4511],{},"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。",[27,4513,327],{"id":327},[329,4515,4516,4532],{},[332,4517,4518],{},[335,4519,4520,4522,4524,4527,4530],{},[338,4521,340],{},[338,4523,14],{},[338,4525,4526],{},"Zapier",[338,4528,4529],{},"Make",[338,4531,11],{},[352,4533,4534,4547,4559,4576,4588,4602,4614,4628,4644],{},[335,4535,4536,4538,4541,4543,4545],{},[357,4537,376],{},[357,4539,4540],{},"✅ fair-code",[357,4542,985],{},[357,4544,985],{},[357,4546,379],{},[335,4548,4549,4551,4553,4555,4557],{},[357,4550,392],{},[357,4552,411],{},[357,4554,985],{},[357,4556,985],{},[357,4558,403],{},[335,4560,4561,4564,4567,4570,4573],{},[357,4562,4563],{},"集成数",[357,4565,4566],{},"400+",[357,4568,4569],{},"8000+",[357,4571,4572],{},"2000+",[357,4574,4575],{},"LangChain 原语",[335,4577,4578,4580,4582,4584,4586],{},[357,4579,1463],{},[357,4581,411],{},[357,4583,428],{},[357,4585,428],{},[357,4587,403],{},[335,4589,4590,4593,4596,4598,4600],{},[357,4591,4592],{},"LangChain 节点",[357,4594,4595],{},"✅ 70 个",[357,4597,985],{},[357,4599,985],{},[357,4601,982],{},[335,4603,4604,4606,4608,4610,4612],{},[357,4605,2516],{},[357,4607,982],{},[357,4609,985],{},[357,4611,985],{},[357,4613,428],{},[335,4615,4616,4619,4622,4624,4626],{},[357,4617,4618],{},"Local LLM",[357,4620,4621],{},"✅ Ollama",[357,4623,985],{},[357,4625,985],{},[357,4627,403],{},[335,4629,4630,4633,4636,4639,4642],{},[357,4631,4632],{},"起价",[357,4634,4635],{},"$0 自托管",[357,4637,4638],{},"$29.99\u002F月",[357,4640,4641],{},"$9\u002F月",[357,4643,4635],{},[335,4645,4646,4648,4651,4654,4657],{},[357,4647,468],{},[357,4649,4650],{},"开发者 + 高量级",[357,4652,4653],{},"非技术 + 简单",[357,4655,4656],{},"中等复杂",[357,4658,4659],{},"LangChain 工程",[27,4661,483],{"id":483},[42,4663,4664,4670,4676,4682,4688,4694,4700,4706,4712,4717],{},[45,4665,4666,4669],{},[48,4667,4668],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[45,4671,4672,4675],{},[48,4673,4674],{},"Worker 模式","：高并发要起 worker container 才能并行",[45,4677,4678,4681],{},[48,4679,4680],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[45,4683,4684,4687],{},[48,4685,4686],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[45,4689,4690,4693],{},[48,4691,4692],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[45,4695,4696,4699],{},[48,4697,4698],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[45,4701,4702,4705],{},[48,4703,4704],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[45,4707,4708,4711],{},[48,4709,4710],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[45,4713,4714,4716],{},[48,4715,4251],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[45,4718,4719,4722],{},[48,4720,4721],{},"monitoring","：生产部署加 prometheus + 错误告警",[27,4724,543],{"id":542},[42,4726,4727,4730,4733,4736,4739,4742,4745,4748],{},[45,4728,4729],{},"✅ 开发者 + 完全控制 + 高量级自动化",[45,4731,4732],{},"✅ 从 Zapier \u002F Make 迁出降本",[45,4734,4735],{},"✅ AI Agent + LangChain + MCP 一体",[45,4737,4738],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[45,4740,4741],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[45,4743,4744],{},"❌ 完全不愿自托管 + 不想付 Cloud",[45,4746,4747],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[45,4749,4750],{},"❌ 极简 2-step 自动化（Zapier 更快）",[27,4752,572],{"id":572},[42,4754,4755,4760,4764],{},[45,4756,4757],{},[578,4758,4759],{"href":663},"Langflow 评测",[45,4761,4762],{},[578,4763,585],{"href":18},[45,4765,4766],{},[578,4767,590],{"href":21},[27,4769,593],{"id":593},[302,4771,4772,4779,4786,4793],{},[45,4773,4774,4775],{},"n8n 官网 ",[578,4776,4777],{"href":4777,"rel":4778},"https:\u002F\u002Fn8n.io",[603],[45,4780,4781,4782],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[578,4783,4784],{"href":4784,"rel":4785},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[603],[45,4787,4788,4789],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[578,4790,4791],{"href":4791,"rel":4792},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[603],[45,4794,4795,4796],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[578,4797,4798],{"href":4798,"rel":4799},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[603],[626,4801,4802],{},"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":228,"searchDepth":257,"depth":257,"links":4804},[4805,4806,4807,4808,4809,4810,4811,4812,4813,4814],{"id":29,"depth":243,"text":30},{"id":40,"depth":243,"text":40},{"id":120,"depth":243,"text":120},{"id":4287,"depth":243,"text":4288},{"id":4351,"depth":243,"text":4352},{"id":327,"depth":243,"text":327},{"id":483,"depth":243,"text":483},{"id":542,"depth":243,"text":543},{"id":572,"depth":243,"text":572},{"id":593,"depth":243,"text":593},"\u002Fimg\u002Ftools\u002Fn8n.webp","n8n 真实评测：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。",[4818,4821,4824,4827],{"q":4819,"a":4820},"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":4822,"a":4823},"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":4825,"a":4826},"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":4828,"a":4829},"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。",[660,661],{},[666,667,285,668],[4834,4838,4842,4846],{"plan":4835,"price":671,"features":4836,"notes":4837},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":4267,"price":4839,"features":4840,"notes":4841},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":4273,"price":4843,"features":4844,"notes":4845},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":145,"price":682,"features":4847,"notes":4848},"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",[4851],{"name":4852,"url":4853},"n8n 自托管 + Ollama 自动化","\u002Fplaybook\u002Fonboarding\u002Fn8n-ollama-automation",{"power":276,"ux":269,"price":276,"cn_support":257,"stability":276},{"title":14,"description":4816},[4857,4859,4861,4863],{"name":4858,"url":4777,"accessed":698},"n8n 官网",{"name":4860,"url":4784,"accessed":698},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":4862,"url":4791,"accessed":698},"Tutorials Technology — n8n + AI on Linux 2026",{"name":4864,"url":4798,"accessed":698},"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",[708,1622,4868,710,2634,666,14],"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。","90tFLjTDSjxw39fv1_p6ApLyl87172IIlgJ26ge1upY",{"id":4872,"title":4873,"alternatives":4874,"api_compatible":22,"body":4878,"category":641,"chinese_friendly":276,"cover":5361,"description":5362,"domestic":644,"extension":645,"faq":5363,"free":644,"github":22,"languages":5376,"meta":5377,"models":22,"navigation":272,"notSuitable":22,"opensource":644,"path":5378,"pillar":664,"platforms":5379,"priceTable":5383,"pricing":5395,"published":686,"relatedPlaybooks":5396,"relatedReviews":22,"score":5400,"self_host":644,"seo":5401,"slug":725,"sources":5402,"stem":5411,"suitable":22,"tagline":5412,"tags":5413,"updated":698,"verdict":5419,"website":5326,"__hash__":5420},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi.md","腾讯元器",[4875,4876,4877],{"name":260,"url":663},{"name":14,"url":15},{"name":17,"url":18},{"type":24,"value":4879,"toc":5349},[4880,4882,4885,4888,4890,4964,4966,4986,4991,4995,4999,5025,5029,5055,5059,5082,5084,5216,5218,5273,5275,5301,5303,5317,5319],[27,4881,30],{"id":29},[32,4883,4884],{},"腾讯元器（yuanqi.tencent.com）是腾讯官方零代码智能体平台，2024 推出、2026-01 完成系统升级。差异点：『人人可用、零代码、零基础』+ 公众号扫码一键授权（历史群发文章 → 智能体知识库）+ 深度整合 LLM + RAG + 工作流 + 多 Agent 协作 + 一键发布到微信客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝 + 打通微信支付 MCP 闭环 + 智能体广场 \u002F 模板 \u002F 插件广场 + 混元 + DeepSeek 双底座。",[32,4886,4887],{},"适合：微信公众号博主 \u002F 国内自媒体 + 想做粉丝 7×24 问答；政企客服 \u002F 政务 \u002F 民生场景；电商品牌 + 微信生态 + 微信支付闭环；非技术运营人员 + 零代码上手。不适合：海外用户 \u002F 跨平台分发（用 Coze 海外版 \u002F Dify）；需要自托管 \u002F 数据零云（用 Dify）；纯通用 reasoning \u002F 学术 agent；要深度 API + 工程化（用 Langflow \u002F LangChain）。",[27,4889,40],{"id":40},[42,4891,4892,4898,4904,4910,4916,4922,4928,4934,4940,4946,4952,4958],{},[45,4893,4894,4897],{},[48,4895,4896],{},"公众号一键授权","：扫码绑定 → 历史文章变知识库",[45,4899,4900,4903],{},[48,4901,4902],{},"零代码创建","：自然语言描述 → 智能体 + 工作流",[45,4905,4906,4909],{},[48,4907,4908],{},"混元 + DeepSeek 双底座","：选模型 + 备案合规",[45,4911,4912,4915],{},[48,4913,4914],{},"知识库 RAG","：文章 \u002F PDF \u002F 网页 \u002F 自定义文本",[45,4917,4918,4921],{},[48,4919,4920],{},"工作流引擎","：可视化编排多步执行",[45,4923,4924,4927],{},[48,4925,4926],{},"多 Agent 协作","：子 agent 调子 agent 完成复杂任务",[45,4929,4930,4933],{},[48,4931,4932],{},"插件广场","：搜索 \u002F 天气 \u002F 翻译 \u002F 图片生成等",[45,4935,4936,4939],{},[48,4937,4938],{},"智能体广场 \u002F 模板","：clone 业内成熟智能体",[45,4941,4942,4945],{},[48,4943,4944],{},"全微信生态发布","：客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝",[45,4947,4948,4951],{},[48,4949,4950],{},"微信支付 MCP","：智能体可直接发起支付闭环",[45,4953,4954,4957],{},[48,4955,4956],{},"企业级解决方案","：私有部署 + SSO + 定制",[45,4959,4960,4963],{},[48,4961,4962],{},"小助手 \u002F 客服助手 \u002F IP 分身 \u002F 角色陪聊","等内置场景",[27,4965,120],{"id":120},[42,4967,4968,4974,4980],{},[45,4969,4970,4973],{},[48,4971,4972],{},"免费创建","：¥0；创建智能体 + 公众号绑定 + 知识库 + 工作流",[45,4975,4976,4979],{},[48,4977,4978],{},"按量付费","：混元 \u002F DeepSeek token + 知识库检索 + 工作流执行 + 插件调用按次数",[45,4981,4982,4985],{},[48,4983,4984],{},"企业级方案","：联系商务；私有部署 + SSO + 定制 + SLA",[148,4987,4988],{},[32,4989,4990],{},"实际成本：个人公众号博主一月几十块 token 钱足够跑数千次 7×24 问答；企业客服需求要走商务报价。",[27,4992,4994],{"id":4993},"实测公众号自媒体-政企客服","实测（公众号自媒体 + 政企客服）",[32,4996,4997],{},[48,4998,161],{},[42,5000,5001,5004,5007,5010,5013,5016,5019,5022],{},[45,5002,5003],{},"公众号扫码授权 + 历史文章入库自动化程度极高，5 分钟跑通",[45,5005,5006],{},"混元 + DeepSeek 中文效果好 + 国内备案合规",[45,5008,5009],{},"微信生态全链路：粉丝问 → 智能体答 → 推荐产品 → 微信支付 闭环",[45,5011,5012],{},"智能体广场可看到童爸育儿（2000+ 篇文章库）\u002F 飞哥律界 等真实案例",[45,5014,5015],{},"政务 \u002F 央企（钦州政务 \u002F 中国石化『小石头』）有正式落地",[45,5017,5018],{},"多 Agent 协作架构让复杂业务场景可拆分",[45,5020,5021],{},"零代码运营人员可独立完成，不依赖技术",[45,5023,5024],{},"智能体模板让冷启动快 10x",[32,5026,5027],{},[48,5028,192],{},[42,5030,5031,5034,5037,5040,5043,5046,5049,5052],{},[45,5032,5033],{},"新旧版双底层，旧版用户迁移有摩擦",[45,5035,5036],{},"海外用户访问受限，跨海外业务用不上",[45,5038,5039],{},"工作流编排能力不如 Dify \u002F Coze 强（少高级控制流）",[45,5041,5042],{},"多 Agent 编排 UI 学习曲线",[45,5044,5045],{},"知识库切片粒度自定义有限",[45,5047,5048],{},"国产模型 reasoning 能力比 GPT-5 \u002F Claude 仍有差距",[45,5050,5051],{},"自托管 \u002F 数据私有化不可行（除非企业版私有部署）",[45,5053,5054],{},"海外大模型接入限制（混元 \u002F DeepSeek 为主）",[27,5056,5058],{"id":5057},"上手公众号博主-5-分钟","上手（公众号博主 5 分钟）",[302,5060,5061,5064,5067,5070,5073,5076,5079],{},[45,5062,5063],{},"yuanqi.tencent.com → 微信扫码登录",[45,5065,5066],{},"新建智能体 → 名字 + 头像 + 描述",[45,5068,5069],{},"知识库 → 绑定公众号 → 扫码授权 → 等历史文章入库（几分钟）",[45,5071,5072],{},"角色设定 → 例：『你是 X 公众号官方助手，基于知识库回答问题』",[45,5074,5075],{},"测试对话 → 验证答案命中文章",[45,5077,5078],{},"发布 → 选择渠道（公众号菜单 \u002F 客服）",[45,5080,5081],{},"粉丝在公众号点击菜单 → 进入 AI 对话",[27,5083,327],{"id":327},[329,5085,5086,5101],{},[332,5087,5088],{},[335,5089,5090,5092,5094,5096,5098],{},[338,5091,340],{},[338,5093,1308],{},[338,5095,721],{},[338,5097,345],{},[338,5099,5100],{},"文心智能体",[352,5102,5103,5115,5129,5145,5159,5172,5189,5202],{},[335,5104,5105,5107,5109,5111,5113],{},[357,5106,4896],{},[357,5108,411],{},[357,5110,985],{},[357,5112,985],{},[357,5114,428],{},[335,5116,5117,5120,5123,5125,5127],{},[357,5118,5119],{},"微信支付闭环",[357,5121,5122],{},"✅ MCP",[357,5124,985],{},[357,5126,985],{},[357,5128,985],{},[335,5130,5131,5134,5137,5140,5142],{},[357,5132,5133],{},"多渠道发布",[357,5135,5136],{},"微信生态",[357,5138,5139],{},"多平台 + 海外",[357,5141,392],{},[357,5143,5144],{},"百度生态",[335,5146,5147,5150,5152,5155,5157],{},[357,5148,5149],{},"海外可用",[357,5151,985],{},[357,5153,5154],{},"✅ Coze.com",[357,5156,403],{},[357,5158,985],{},[335,5160,5161,5163,5166,5168,5170],{},[357,5162,392],{},[357,5164,5165],{},"❌（企业版才有）",[357,5167,985],{},[357,5169,3276],{},[357,5171,985],{},[335,5173,5174,5177,5180,5183,5186],{},[357,5175,5176],{},"LLM 底座",[357,5178,5179],{},"混元 + DeepSeek",[357,5181,5182],{},"多家",[357,5184,5185],{},"多家 + 自托管",[357,5187,5188],{},"文心一言",[335,5190,5191,5193,5196,5198,5200],{},[357,5192,3321],{},[357,5194,5195],{},"✅ 基础",[357,5197,411],{},[357,5199,411],{},[357,5201,403],{},[335,5203,5204,5206,5209,5211,5214],{},[357,5205,468],{},[357,5207,5208],{},"公众号 + 国内",[357,5210,5139],{},[357,5212,5213],{},"自托管 + 企业",[357,5215,5144],{},[27,5217,483],{"id":483},[42,5219,5220,5226,5232,5238,5244,5249,5255,5261,5267],{},[45,5221,5222,5225],{},[48,5223,5224],{},"新版优先","：旧版功能停止演进，新建议直接新版",[45,5227,5228,5231],{},[48,5229,5230],{},"公众号文章质量","：知识库 = 文章质量，垃圾文章入库 = 垃圾回答",[45,5233,5234,5237],{},[48,5235,5236],{},"测试对话","：发布前测 20 个常见问题，验证答案准确",[45,5239,5240,5243],{},[48,5241,5242],{},"兜底回复","：知识库命中失败要有兜底引导（『请联系人工』）",[45,5245,5246,5248],{},[48,5247,5119],{},"：用户体验要清晰，支付链路要可中断",[45,5250,5251,5254],{},[48,5252,5253],{},"token 预算","：开通调用前看模型计价 + 设上限",[45,5256,5257,5260],{},[48,5258,5259],{},"海外用户","：访问可能不稳，业务覆盖海外要走 Coze",[45,5262,5263,5266],{},[48,5264,5265],{},"政务 \u002F 央企合规","：用企业版私有部署 + 备案",[45,5268,5269,5272],{},[48,5270,5271],{},"多 Agent 不要过度","：复杂业务先单 agent 跑通，再拆分",[27,5274,543],{"id":542},[42,5276,5277,5280,5283,5286,5289,5292,5295,5298],{},[45,5278,5279],{},"✅ 微信公众号博主 \u002F 国内自媒体",[45,5281,5282],{},"✅ 政企客服 \u002F 政务 \u002F 民生场景",[45,5284,5285],{},"✅ 电商品牌 + 微信支付闭环",[45,5287,5288],{},"✅ 零代码运营 + 非技术团队",[45,5290,5291],{},"❌ 海外用户 \u002F 跨平台分发",[45,5293,5294],{},"❌ 自托管 \u002F 数据零云",[45,5296,5297],{},"❌ 纯通用 reasoning \u002F 学术 agent",[45,5299,5300],{},"❌ 深度工程化 + API-first",[27,5302,572],{"id":572},[42,5304,5305,5309,5313],{},[45,5306,5307],{},[578,5308,4759],{"href":663},[45,5310,5311],{},[578,5312,580],{"href":15},[45,5314,5315],{},[578,5316,585],{"href":18},[27,5318,593],{"id":593},[302,5320,5321,5328,5335,5342],{},[45,5322,5323,5324],{},"腾讯元器官网 ",[578,5325,5326],{"href":5326,"rel":5327},"https:\u002F\u002Fyuanqi.tencent.com",[603],[45,5329,5330,5331],{},"腾讯元器帮助中心 - 平台介绍 + 升级说明 ",[578,5332,5333],{"href":5333,"rel":5334},"https:\u002F\u002Fyuanqi.tencent.com\u002Fguide\u002Fyuanqi-introduction",[603],[45,5336,5337,5338],{},"智能体广场（真实落地案例：童爸育儿 \u002F 飞哥律界 \u002F 钦州政务 \u002F 中国石化小石头）",[578,5339,5340],{"href":5340,"rel":5341},"https:\u002F\u002Fyuanqi.tencent.com\u002Fagent-center\u002Findex",[603],[45,5343,5344,5345],{},"AGI 空间站 — 腾讯混元 + 元器生态 ",[578,5346,5347],{"href":5347,"rel":5348},"https:\u002F\u002Fdocs.feishu.cn\u002Fv\u002Fwiki\u002FJc1TwOaAni879pksMgmcqgUNnof\u002Fa3",[603],{"title":228,"searchDepth":257,"depth":257,"links":5350},[5351,5352,5353,5354,5355,5356,5357,5358,5359,5360],{"id":29,"depth":243,"text":30},{"id":40,"depth":243,"text":40},{"id":120,"depth":243,"text":120},{"id":4993,"depth":243,"text":4994},{"id":5057,"depth":243,"text":5058},{"id":327,"depth":243,"text":327},{"id":483,"depth":243,"text":483},{"id":542,"depth":243,"text":543},{"id":572,"depth":243,"text":572},{"id":593,"depth":243,"text":593},"\u002Fimg\u002Ftools\u002Fyuanqi.webp","腾讯元器（yuanqi.tencent.com）真实评测：腾讯官方零代码智能体平台，2024 推出、2026-01 完成系统升级（新旧双版本并存）。差异点：『人人可用、零代码、零基础』面向普通用户 + 公众号扫码一键授权（历史群发文章 → 智能体知识库）+ 深度整合 LLM + RAG + 工作流引擎 + 多 Agent 协作架构 + 一键发布到微信客服 \u002F 公众号 \u002F 服务号 \u002F 企业微信 \u002F 应用宝 + 打通微信支付 MCP 闭环 + 智能体广场 \u002F 模板 \u002F 插件广场 + 混元 + DeepSeek 双底座。",[5364,5367,5370,5373],{"q":5365,"a":5366},"和扣子 Coze \u002F Dify \u002F 文心智能体怎么选？","元器的核心独门：『微信公众号一键授权 + 文章变知识库 + 发布到微信全生态 + 微信支付 MCP』。Coze（字节）强『多 LLM + Bot 商店 + 海外版』。Dify 强『LLMOps 全平台 + 可自托管』。文心智能体强『百度生态 + 搜索 + 文心一言』。微信公众号博主 \u002F 政企客户 → 元器；多平台分发 \u002F 跨海外 → Coze；自托管 \u002F 企业 → Dify；百度生态 → 文心。",{"q":5368,"a":5369},"新旧版关系？","2025-12 元器完成系统升级，新版底层逻辑重写（多 Agent 架构 + 微信支付 MCP 等新能力）。旧版创建的智能体 \u002F 知识库 \u002F 工作流暂时无法直接同步到新版（两套底层），需走迁移路径。新建议直接用新版。官方文档：『从旧版元器迁移智能体到新版元器』。",{"q":5371,"a":5372},"公众号绑定后如何运作？","公众号管理员扫码授权 → 元器拉取历史群发文章 → 自动切片 + embedding 入知识库 → 公众号菜单栏出现『智能问答』入口 → 粉丝点击进入智能体对话 → 命中知识库的问题用文章原文 + LLM 综合回答 → 命中失败走兜底回复。这套路径让自媒体几乎零成本拥有 7×24 客服 \u002F 问答机器人。",{"q":5374,"a":5375},"数据隐私和合规？","元器是腾讯官方服务 + 数据托管在腾讯云 + 合规接入备案算法（混元 \u002F DeepSeek）。对国内合规 \u002F 政务 \u002F 央企场景非常友好。但对隐私敏感 \u002F 数据零云需求 → 走 Dify 自托管 + 国产开源模型路径，不要用元器。",[1560,660],{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi",[668,5380,5381,5382],"wechat-mp","wechat-work","wechat-pay",[5384,5387,5391],{"plan":4972,"price":1577,"features":5385,"notes":5386},"创建智能体 + 公众号绑定 + 知识库 + 工作流 + 智能体广场","模型 token 按量",{"plan":4978,"price":5388,"features":5389,"notes":5390},"按调用","混元 \u002F DeepSeek \u002F 知识库检索 \u002F 工作流执行 \u002F 插件调用","token + API 次数",{"plan":4984,"price":5392,"features":5393,"notes":5394},"联系商务","私有部署 + SSO + audit + 定制开发 + 多 agent 协作 + SLA","政企客户","免费创建 \u002F 模型调用按 token \u002F 部分能力按调用次数 \u002F 企业版联系商务",[5397],{"name":5398,"url":5399},"公众号 7×24 AI 分身搭建","\u002Fplaybook\u002Fonboarding\u002Fwechat-mp-ai-agent",{"power":269,"ux":276,"price":276,"cn_support":276,"stability":269},{"title":4873,"description":5362},[5403,5405,5407,5409],{"name":5404,"url":5326,"accessed":698},"腾讯元器官网",{"name":5406,"url":5333,"accessed":698},"腾讯元器帮助中心 - 平台介绍",{"name":5408,"url":5340,"accessed":698},"智能体广场",{"name":5410,"url":5347,"accessed":698},"AGI 空间站 — 腾讯混元 + 元器生态","tools\u002Fagent\u002Fplatform\u002Fyuanqi","腾讯零代码智能体平台——公众号一键变 AI 分身 + 混元 \u002F DeepSeek 双底座 + 微信生态全链路",[5414,5415,1621,5416,5417,5418],"agent-builder","wechat","hunyuan","deepseek","yuanqi","微信公众号博主 \u002F 国内自媒体 \u002F 政企客服首选——把公众号变 7×24 AI 分身的最低成本路径。要纯通用 agent \u002F 海外用户 \u002F 复杂 reasoning 用 Dify \u002F Coze。","ffVJnAHGDWtHozRE1jzbZPDP1LZLHkLpNckR9u9UjDs",[],1782316490393]