[{"data":1,"prerenderedAt":5739},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fplatform\u002Fdify":9,"tool-stats-agent\u002Fplatform\u002Fdify":1144,"cat-rank-agent-platform":1147,"tool-related-agent\u002Fplatform\u002Fdify":5738},{"tools":4,"reviews":5},65,7,{"tools":4,"reviews":5,"playbooks":7,"news":8},10,8,{"id":10,"title":11,"alternatives":12,"api_compatible":17,"body":18,"category":1098,"chinese_friendly":386,"cover":1099,"description":1100,"domestic":1101,"extension":1102,"faq":17,"free":1101,"github":332,"languages":1103,"meta":1107,"models":17,"navigation":553,"notSuitable":17,"opensource":553,"path":1108,"pillar":1109,"platforms":1110,"priceTable":17,"pricing":1114,"published":1115,"relatedPlaybooks":17,"relatedReviews":17,"score":1116,"self_host":553,"seo":1117,"slug":1118,"sources":1119,"stem":1131,"suitable":17,"tagline":1132,"tags":1133,"updated":1141,"verdict":1142,"website":1041,"__hash__":1143},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md","Dify",[13,14,15,16],"agent\u002Fplatform\u002Fcoze","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",null,{"type":19,"value":20,"toc":1076},"minimark",[21,26,54,60,63,68,71,146,149,153,156,172,191,195,198,209,213,221,233,237,240,243,247,256,317,324,328,336,406,409,429,433,436,496,502,506,598,601,630,633,774,792,831,834,907,911,914,934,937,966,969,1031,1034,1065,1072],[22,23,25],"h2",{"id":24},"tldr","TL;DR",[27,28,33,41],"div",{"className":29},[30,31,32],"card","p-5","my-4",[34,35,36,40],"p",{},[37,38,39],"strong",{},"一句话："," 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。",[34,42,43,44,47,48,53],{},"最大价值是 ",[37,45,46],{},"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 ",[49,50,52],"a",{"href":51},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze"," 折腾，新手得读 1-2 小时文档。",[55,56,57],"blockquote",{},[34,58,59],{},"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。",[22,61,62],{"id":62},"核心特性",[64,65,67],"h3",{"id":66},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[34,69,70],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[72,73,74,90],"table",{},[75,76,77],"thead",{},[78,79,80,84,87],"tr",{},[81,82,83],"th",{},"类型",[81,85,86],{},"适合场景",[81,88,89],{},"编排范式",[91,92,93,107,120,133],"tbody",{},[78,94,95,101,104],{},[96,97,98],"td",{},[37,99,100],{},"Chatbot",[96,102,103],{},"简单对话机器人",[96,105,106],{},"prompt + tools",[78,108,109,114,117],{},[96,110,111],{},[37,112,113],{},"Agent",[96,115,116],{},"自主多步任务",[96,118,119],{},"ReAct \u002F Function Calling",[78,121,122,127,130],{},[96,123,124],{},[37,125,126],{},"Chatflow",[96,128,129],{},"对话型工作流（多轮 + 分支）",[96,131,132],{},"节点 DAG，带聊天上下文",[78,134,135,140,143],{},[96,136,137],{},[37,138,139],{},"Workflow",[96,141,142],{},"单次输入→输出（API 模式）",[96,144,145],{},"节点 DAG，无对话状态",[34,147,148],{},"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\"。",[64,150,152],{"id":151},"rag-知识库","RAG 知识库",[34,154,155],{},"内置完整 RAG 链路：",[157,158,159,163,166,169],"ol",{},[160,161,162],"li",{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[160,164,165],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[160,167,168],{},"混合检索（向量 + 全文 + 重排）",[160,170,171],{},"引用溯源（回答末尾自动附原文片段）",[34,173,174,175,181,182,185,186,190],{},"注意：根据 ",[49,176,180],{"href":177,"rel":178},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[179],"nofollow","知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[37,183,184],{},"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 ",[49,187,189],{"href":188},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT","（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[64,192,194],{"id":193},"模型生态40-提供商","模型生态：40+ 提供商",[34,196,197],{},"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。",[34,199,200,201,203,204,208],{},"国产模型原生支持（不像 ",[49,202,189],{"href":188}," 需要 ",[49,205,207],{"href":206},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[64,210,212],{"id":211},"mcp-协议支持","MCP 协议支持",[34,214,215,216,220],{},"Dify 较早接入了 ",[49,217,219],{"href":218},"\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：",[222,223,224,227,230],"ul",{},[160,225,226],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[160,228,229],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[160,231,232],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[64,234,236],{"id":235},"api-first","API-first",[34,238,239],{},"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。",[22,241,242],{"id":242},"价格与运行成本",[64,244,246],{"id":245},"云版difyai","云版（dify.ai）",[34,248,249,250,255],{},"根据 ",[49,251,254],{"href":252,"rel":253},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[179],"tooljunction.io 2026 评测"," 引用的官方定价：",[72,257,258,271],{},[75,259,260],{},[78,261,262,265,268],{},[81,263,264],{},"套餐",[81,266,267],{},"价格",[81,269,270],{},"主要限制",[91,272,273,284,295,306],{},[78,274,275,278,281],{},[96,276,277],{},"Sandbox",[96,279,280],{},"免费",[96,282,283],{},"200 次模型调用，1 app，5MB 知识库",[78,285,286,289,292],{},[96,287,288],{},"Professional",[96,290,291],{},"$59\u002F月起",[96,293,294],{},"5000 调用\u002F月，多 app，50MB 知识库",[78,296,297,300,303],{},[96,298,299],{},"Team",[96,301,302],{},"$159\u002F月起",[96,304,305],{},"团队协作、SSO",[78,307,308,311,314],{},[96,309,310],{},"Enterprise",[96,312,313],{},"联系销售",[96,315,316],{},"定制 SLA、私有云",[34,318,319,320,323],{},"注意：云版价格只是 Dify 平台费，",[37,321,322],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[64,325,327],{"id":326},"自托管推荐","自托管（推荐）",[34,329,330,335],{},[49,331,334],{"href":332,"rel":333},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[179],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[337,338,343],"pre",{"className":339,"code":340,"language":341,"meta":342,"style":342},"language-bash shiki shiki-themes github-light github-dark","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","bash","",[344,345,346,362,372,384,399],"code",{"__ignoreMap":342},[347,348,351,355,359],"span",{"class":349,"line":350},"line",1,[347,352,354],{"class":353},"sScJk","git",[347,356,358],{"class":357},"sZZnC"," clone",[347,360,361],{"class":357}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[347,363,365,369],{"class":349,"line":364},2,[347,366,368],{"class":367},"sj4cs","cd",[347,370,371],{"class":357}," dify\u002Fdocker\n",[347,373,375,378,381],{"class":349,"line":374},3,[347,376,377],{"class":353},"cp",[347,379,380],{"class":357}," .env.example",[347,382,383],{"class":357}," .env\n",[347,385,387,390,393,396],{"class":349,"line":386},4,[347,388,389],{"class":353},"docker",[347,391,392],{"class":357}," compose",[347,394,395],{"class":357}," up",[347,397,398],{"class":367}," -d\n",[347,400,402],{"class":349,"line":401},5,[347,403,405],{"class":404},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[34,407,408],{},"硬件门槛（社区共识，非官方硬性要求）：",[222,410,411,417,423],{},[160,412,413,416],{},[37,414,415],{},"最低","：2 核 4G，纯外接 API 模式",[160,418,419,422],{},[37,420,421],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[160,424,425,428],{},[37,426,427],{},"企业","：8 核 16G+，单机日活上千",[64,430,432],{"id":431},"真实-tco","真实 TCO",[34,434,435],{},"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）：",[72,437,438,451],{},[75,439,440],{},[78,441,442,445,448],{},[81,443,444],{},"成本项",[81,446,447],{},"云版 Professional",[81,449,450],{},"自托管",[91,452,453,464,474,485],{},[78,454,455,458,461],{},[96,456,457],{},"平台费",[96,459,460],{},"~$2,100（3 年）",[96,462,463],{},"$0",[78,465,466,469,471],{},[96,467,468],{},"服务器",[96,470,463],{},[96,472,473],{},"~$50\u002F月 × 36 = $1,800",[78,475,476,479,482],{},[96,477,478],{},"模型 API",[96,480,481],{},"与下同",[96,483,484],{},"与上同",[78,486,487,490,493],{},[96,488,489],{},"运维人力",[96,491,492],{},"0",[96,494,495],{},"约 0.2 人月",[34,497,498,501],{},[37,499,500],{},"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。",[22,503,505],{"id":504},"上手-10-分钟","上手 10 分钟",[337,507,509],{"className":339,"code":508,"language":341,"meta":342,"style":342},"# 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",[344,510,511,516,524,530,538,548,555,560,565,570,575,580,586,592],{"__ignoreMap":342},[347,512,513],{"class":349,"line":350},[347,514,515],{"class":404},"# 1. 自托管（社区版）\n",[347,517,518,520,522],{"class":349,"line":364},[347,519,354],{"class":353},[347,521,358],{"class":357},[347,523,361],{"class":357},[347,525,526,528],{"class":349,"line":374},[347,527,368],{"class":367},[347,529,371],{"class":357},[347,531,532,534,536],{"class":349,"line":386},[347,533,377],{"class":353},[347,535,380],{"class":357},[347,537,383],{"class":357},[347,539,540,542,544,546],{"class":349,"line":401},[347,541,389],{"class":353},[347,543,392],{"class":357},[347,545,395],{"class":357},[347,547,398],{"class":367},[347,549,551],{"class":349,"line":550},6,[347,552,554],{"emptyLinePlaceholder":553},true,"\n",[347,556,557],{"class":349,"line":5},[347,558,559],{"class":404},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[347,561,562],{"class":349,"line":8},[347,563,564],{"class":404},"#    首次会让你创建 admin 账号\n",[347,566,568],{"class":349,"line":567},9,[347,569,554],{"emptyLinePlaceholder":553},[347,571,572],{"class":349,"line":7},[347,573,574],{"class":404},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[347,576,578],{"class":349,"line":577},11,[347,579,554],{"emptyLinePlaceholder":553},[347,581,583],{"class":349,"line":582},12,[347,584,585],{"class":404},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[347,587,589],{"class":349,"line":588},13,[347,590,591],{"class":404},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[347,593,595],{"class":349,"line":594},14,[347,596,597],{"class":404},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[22,599,600],{"id":600},"国内使用注意事项",[157,602,603,609,615,621],{},[160,604,605,608],{},[37,606,607],{},"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",[160,610,611,614],{},[37,612,613],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[160,616,617,620],{},[37,618,619],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[160,622,623,626,627,629],{},[37,624,625],{},"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 ",[49,628,52],{"href":51}," 迁到 Dify",[22,631,632],{"id":632},"与同类怎么选",[72,634,635,658],{},[75,636,637],{},[78,638,639,642,644,648,652],{},[81,640,641],{},"维度",[81,643,11],{},[81,645,646],{},[49,647,52],{"href":51},[81,649,650],{},[49,651,189],{"href":188},[81,653,654],{},[49,655,657],{"href":656},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[91,659,660,676,689,705,719,733,747,760],{},[78,661,662,665,668,671,673],{},[96,663,664],{},"开源",[96,666,667],{},"✅",[96,669,670],{},"❌",[96,672,667],{},[96,674,675],{},"✅（fair-code）",[78,677,678,681,683,685,687],{},[96,679,680],{},"私有部署",[96,682,667],{},[96,684,670],{},[96,686,667],{},[96,688,667],{},[78,690,691,694,697,700,702],{},[96,692,693],{},"上手难度",[96,695,696],{},"★★★☆☆",[96,698,699],{},"★★☆☆☆ 最简单",[96,701,696],{},[96,703,704],{},"★★★★☆",[78,706,707,710,713,715,717],{},[96,708,709],{},"工作流编排",[96,711,712],{},"★★★★★",[96,714,704],{},[96,716,696],{},[96,718,712],{},[78,720,721,724,726,728,730],{},[96,722,723],{},"RAG 精度",[96,725,704],{},[96,727,696],{},[96,729,712],{},[96,731,732],{},"★★☆☆☆",[78,734,735,738,740,742,745],{},[96,736,737],{},"模型生态",[96,739,712],{},[96,741,704],{},[96,743,744],{},"★★★☆☆（OneAPI 中转）",[96,746,704],{},[78,748,749,752,754,756,758],{},[96,750,751],{},"中文场景",[96,753,704],{},[96,755,712],{},[96,757,704],{},[96,759,696],{},[78,761,762,765,767,770,772],{},[96,763,764],{},"字节生态绑定",[96,766,670],{},[96,768,769],{},"✅（飞书\u002F抖音深度集成）",[96,771,670],{},[96,773,670],{},[34,775,776,779,780,785,786,791],{},[37,777,778],{},"怎么选","（基于 ",[49,781,784],{"href":782,"rel":783},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[179],"BestHub 2025-07"," 和 ",[49,787,790],{"href":788,"rel":789},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[179],"博客园 2026-01"," 两份选型指南综合）：",[222,793,794,800,808,815,822],{},[160,795,796,799],{},[37,797,798],{},"数据必须不出内网 + 工作流复杂"," → Dify",[160,801,802,805,806],{},[37,803,804],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态"," → ",[49,807,52],{"href":51},[160,809,810,805,813],{},[37,811,812],{},"核心场景就是企业知识库 QA",[49,814,189],{"href":188},[160,816,817,805,820],{},[37,818,819],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[49,821,657],{"href":656},[160,823,824,805,827],{},[37,825,826],{},"要画图式表达 LangChain pipeline",[49,828,830],{"href":829},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow",[22,832,833],{"id":833},"避坑清单",[222,835,836,842,859,870,883,889,895,901],{},[160,837,838,841],{},[37,839,840],{},"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。",[160,843,844,850,851,854,855,858],{},[37,845,846,849],{},[344,847,848],{},".env"," 文件改完忘 restart","：",[344,852,853],{},"docker compose down && up -d","，不是 ",[344,856,857],{},"restart","——后者不重新加载 env。",[160,860,861,850,864,869],{},[37,862,863],{},"大版本升级会破坏数据库 schema",[49,865,868],{"href":866,"rel":867},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[179],"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。",[160,871,872,875,876,878,879,882],{},[37,873,874],{},"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 ",[344,877,848],{}," 的 ",[344,880,881],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[160,884,885,888],{},[37,886,887],{},"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。",[160,890,891,894],{},[37,892,893],{},"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。",[160,896,897,900],{},[37,898,899],{},"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。",[160,902,903,906],{},[37,904,905],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[22,908,910],{"id":909},"适合-不适合","适合 \u002F 不适合",[34,912,913],{},"✅ 适合：",[222,915,916,919,922,925,928,931],{},[160,917,918],{},"中大型企业 LLM 中台建设",[160,920,921],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[160,923,924],{},"想做\"AI 工作流即产品\"的开发团队",[160,926,927],{},"同时需要 RAG + Agent + Workflow 三件套",[160,929,930],{},"想用国产模型 + 国际模型混合编排",[160,932,933],{},"已经接受 Docker + 一定运维投入",[34,935,936],{},"❌ 不适合：",[222,938,939,945,951,954,960],{},[160,940,941,942,944],{},"纯个人玩家做对话机器人（",[49,943,52],{"href":51}," 更快）",[160,946,947,948,950],{},"只想做企业知识库 QA（",[49,949,189],{"href":188}," RAG 更专）",[160,952,953],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[160,955,956,957,959],{},"需要深度对接字节飞书 \u002F 抖音（",[49,958,52],{"href":51}," 原生）",[160,961,962,963,965],{},"工作流核心是连接 100+ SaaS（",[49,964,657],{"href":656}," 节点更全）",[22,967,968],{"id":968},"相关阅读",[222,970,971,983,1001,1020],{},[160,972,973,974,976,977,976,979,976,981],{},"同类对比：",[49,975,52],{"href":51}," \u002F ",[49,978,189],{"href":188},[49,980,657],{"href":656},[49,982,830],{"href":829},[160,984,985,986,976,990,976,994,976,997],{},"概念基础：",[49,987,989],{"href":988},"\u002Fwiki\u002Fai-agent.html","AI Agent",[49,991,993],{"href":992},"\u002Fwiki\u002Frag.html","RAG",[49,995,996],{"href":218},"MCP",[49,998,1000],{"href":999},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[160,1002,1003,1004,976,1008,976,1012,976,1016],{},"模型选型：",[49,1005,1007],{"href":1006},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[49,1009,1011],{"href":1010},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[49,1013,1015],{"href":1014},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[49,1017,1019],{"href":1018},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[160,1021,1022,1023,976,1027],{},"进阶：",[49,1024,1026],{"href":1025},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[49,1028,1030],{"href":1029},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[22,1032,1033],{"id":1033},"来源",[222,1035,1036,1043,1049,1055,1062],{},[160,1037,1038,1039],{},"官网：",[49,1040,1041],{"href":1041,"rel":1042},"https:\u002F\u002Fdify.ai",[179],[160,1044,1045,1046],{},"中文文档：",[49,1047,866],{"href":866,"rel":1048},[179],[160,1050,1051,1052],{},"GitHub：",[49,1053,332],{"href":332,"rel":1054},[179],[160,1056,1057,1058],{},"官方定价：",[49,1059,1060],{"href":1060,"rel":1061},"https:\u002F\u002Fdify.ai\u002Fpricing",[179],[160,1063,1064],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[34,1066,1067,1068,1071],{},"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 ",[49,1069,1070],{"href":1070},"\u002Fsubmit"," 反馈。",[1073,1074,1075],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .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":342,"searchDepth":374,"depth":374,"links":1077},[1078,1079,1086,1091,1092,1093,1094,1095,1096,1097],{"id":24,"depth":364,"text":25},{"id":62,"depth":364,"text":62,"children":1080},[1081,1082,1083,1084,1085],{"id":66,"depth":374,"text":67},{"id":151,"depth":374,"text":152},{"id":193,"depth":374,"text":194},{"id":211,"depth":374,"text":212},{"id":235,"depth":374,"text":236},{"id":242,"depth":364,"text":242,"children":1087},[1088,1089,1090],{"id":245,"depth":374,"text":246},{"id":326,"depth":374,"text":327},{"id":431,"depth":374,"text":432},{"id":504,"depth":364,"text":505},{"id":600,"depth":364,"text":600},{"id":632,"depth":364,"text":632},{"id":833,"depth":364,"text":833},{"id":909,"depth":364,"text":910},{"id":968,"depth":364,"text":968},{"id":1033,"depth":364,"text":1033},"platform","\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。",false,"md",[1104,1105,1106],"zh","en","ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify","agent",[1111,1112,1113,389],"windows","macos","linux","云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费","2026-06-18",{"power":401,"ux":386,"price":401,"cn_support":386,"stability":386},{"title":11,"description":1100},"agent\u002Fplatform\u002Fdify",[1120,1122,1124,1126,1128],{"title":1121,"url":866},"Dify 官方文档（中文）",{"title":1123,"url":332},"Dify GitHub",{"title":1125,"url":1060},"Dify 官方定价",{"title":1127,"url":782},"Coze vs Dify vs FastGPT 选型",{"title":1129,"url":1130},"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",[1134,1135,1136,1137,1138,1139,1140],"agent-platform","opensource","self-host","rag","workflow","llmops","mcp","2026-06-24","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",{"ok":553,"slug":1145,"viewCount":1146,"clickCount":1146,"avgRating":1146,"ratingCount":1146},"agent%2Fplatform%2Fdify",0,[1148,1998,2767,3843,4478,5188],{"id":1149,"title":52,"alternatives":1150,"api_compatible":1152,"body":1153,"category":1098,"chinese_friendly":401,"cover":1931,"description":1932,"domestic":1101,"extension":1102,"faq":17,"free":1101,"github":17,"languages":1933,"meta":1934,"models":1935,"navigation":553,"notSuitable":1941,"opensource":1101,"path":1945,"pillar":1109,"platforms":1946,"priceTable":1948,"pricing":1969,"published":1115,"relatedPlaybooks":17,"relatedReviews":17,"score":1970,"self_host":1101,"seo":1971,"slug":13,"sources":1972,"stem":1983,"suitable":1984,"tagline":1990,"tags":1991,"updated":1141,"verdict":1996,"website":1170,"__hash__":1997},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md",[1118,14,1151],"agent\u002Fplatform\u002Fyuanqi",[],{"type":19,"value":1154,"toc":1915},[1155,1157,1191,1196,1198,1202,1205,1219,1228,1278,1287,1291,1294,1326,1334,1338,1341,1361,1365,1445,1455,1457,1460,1480,1489,1491,1527,1530,1532,1665,1676,1705,1707,1779,1781,1783,1800,1802,1830,1832,1881,1883,1910],[22,1156,25],{"id":24},[27,1158,1160,1180],{"className":1159},[30,31,32],[34,1161,1162,1164,1165,1179],{},[37,1163,39],{}," 字节跳动出品的低代码 Agent 平台，",[37,1166,1167,1168,1173,1174],{},"国内版 ",[49,1169,1172],{"href":1170,"rel":1171},"https:\u002F\u002Fwww.coze.cn",[179],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[49,1175,1178],{"href":1176,"rel":1177},"https:\u002F\u002Fwww.coze.com",[179],"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。",[34,1181,43,1182,1185,1186,1190],{},[37,1183,1184],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[49,1187,1189],{"href":788,"rel":1188},[179],"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\"。",[55,1192,1193],{},[34,1194,1195],{},"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。",[22,1197,62],{"id":62},[64,1199,1201],{"id":1200},"可视化工作流最大卖点","可视化工作流（最大卖点）",[34,1203,1204],{},"Coze 把 Agent 拆成两层：",[222,1206,1207,1213],{},[160,1208,1209,1212],{},[37,1210,1211],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[160,1214,1215,1218],{},[37,1216,1217],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[34,1220,1221,1222,1227],{},"工作流节点类型（基于 ",[49,1223,1226],{"href":1224,"rel":1225},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[179],"火山引擎社区 2025 实战","）：",[222,1229,1230,1236,1242,1248,1254,1260,1266,1272],{},[160,1231,1232,1235],{},[37,1233,1234],{},"开始 \u002F 结束节点","：输入输出",[160,1237,1238,1241],{},[37,1239,1240],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[160,1243,1244,1247],{},[37,1245,1246],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[160,1249,1250,1253],{},[37,1251,1252],{},"循环节点","：批量处理多条数据",[160,1255,1256,1259],{},[37,1257,1258],{},"条件节点","：分支判断",[160,1261,1262,1265],{},[37,1263,1264],{},"插件节点","：调 Coze 插件市场的工具",[160,1267,1268,1271],{},[37,1269,1270],{},"知识库节点","：RAG 检索",[160,1273,1274,1277],{},[37,1275,1276],{},"HTTP 节点","：调外部 API",[34,1279,1280,1281,1286],{},"典型用例（参考 ",[49,1282,1285],{"href":1283,"rel":1284},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[179],"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。",[64,1288,1290],{"id":1289},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[34,1292,1293],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[222,1295,1296,1302,1308,1314,1320],{},[160,1297,1298,1301],{},[37,1299,1300],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[160,1303,1304,1307],{},[37,1305,1306],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[160,1309,1310,1313],{},[37,1311,1312],{},"联网搜索","：实时网页检索",[160,1315,1316,1319],{},[37,1317,1318],{},"代码执行","：在线运行 Python",[160,1321,1322,1325],{},[37,1323,1324],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[34,1327,1328,1333],{},[49,1329,1332],{"href":1330,"rel":1331},"https:\u002F\u002Fkouziai.github.io\u002F",[179],"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。",[64,1335,1337],{"id":1336},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[34,1339,1340],{},"发布渠道：",[222,1342,1343,1346,1349,1352,1355,1358],{},[160,1344,1345],{},"飞书机器人（一键绑）",[160,1347,1348],{},"抖音 \u002F 头条号",[160,1350,1351],{},"微信小程序 \u002F 公众号（部分需企业认证）",[160,1353,1354],{},"自定义网页嵌入",[160,1356,1357],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[160,1359,1360],{},"Discord（国际版）",[64,1362,1364],{"id":1363},"国内版-vs-国际版","国内版 vs 国际版",[72,1366,1367,1379],{},[75,1368,1369],{},[78,1370,1371,1373,1376],{},[81,1372,641],{},[81,1374,1375],{},"扣子（coze.cn）",[81,1377,1378],{},"Coze（coze.com）",[91,1380,1381,1392,1402,1412,1423,1434],{},[78,1382,1383,1386,1389],{},[96,1384,1385],{},"主力模型",[96,1387,1388],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[96,1390,1391],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[78,1393,1394,1397,1400],{},[96,1395,1396],{},"飞书 \u002F 抖音 \u002F 微信集成",[96,1398,1399],{},"✅ 原生",[96,1401,670],{},[78,1403,1404,1407,1410],{},[96,1405,1406],{},"Discord \u002F Slack 集成",[96,1408,1409],{},"⚠️ 有限",[96,1411,1399],{},[78,1413,1414,1417,1420],{},[96,1415,1416],{},"数据存储位置",[96,1418,1419],{},"国内",[96,1421,1422],{},"海外",[78,1424,1425,1428,1431],{},[96,1426,1427],{},"支付",[96,1429,1430],{},"微信 \u002F 支付宝",[96,1432,1433],{},"海外信用卡",[78,1435,1436,1439,1442],{},[96,1437,1438],{},"内容合规",[96,1440,1441],{},"严格审核",[96,1443,1444],{},"宽松",[34,1446,1447,1450,1451,1454],{},[37,1448,1449],{},"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 ",[37,1452,1453],{},"不互通","。",[22,1456,242],{"id":242},[34,1458,1459],{},"国内版（扣子）：",[222,1461,1462,1468,1474],{},[160,1463,1464,1467],{},[37,1465,1466],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[160,1469,1470,1473],{},[37,1471,1472],{},"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",[160,1475,1476,1479],{},[37,1477,1478],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[34,1481,1482,1483,1488],{},"国际版（coze.com）的定价模式据 ",[49,1484,1487],{"href":1485,"rel":1486},"https:\u002F\u002Fdocs.coze.com\u002F",[179],"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。",[22,1490,505],{"id":504},[157,1492,1493,1506,1509,1512,1515,1518,1521,1524],{},[160,1494,1495,1496,1500,1501,1505],{},"打开 ",[49,1497,1499],{"href":1170,"rel":1498},[179],"www.coze.cn","（国内）或 ",[49,1502,1504],{"href":1176,"rel":1503},[179],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[160,1507,1508],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[160,1510,1511],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[160,1513,1514],{},"写 Bot 角色 prompt",[160,1516,1517],{},"可选：上传 PDF \u002F 文档建知识库",[160,1519,1520],{},"测试一下对话效果",[160,1522,1523],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[160,1525,1526],{},"拿到调用 URL \u002F 飞书机器人 webhook",[34,1528,1529],{},"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。",[22,1531,632],{"id":632},[72,1533,1534,1557],{},[75,1535,1536],{},[78,1537,1538,1540,1542,1547,1551],{},[81,1539,641],{},[81,1541,52],{},[81,1543,1544],{},[49,1545,11],{"href":1546},"\u002Fagent\u002Fplatform\u002Fdify.html",[81,1548,1549],{},[49,1550,189],{"href":188},[81,1552,1553],{},[49,1554,1556],{"href":1555},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[91,1558,1559,1571,1585,1600,1612,1624,1638,1652],{},[78,1560,1561,1563,1565,1567,1569],{},[96,1562,664],{},[96,1564,670],{},[96,1566,667],{},[96,1568,667],{},[96,1570,670],{},[78,1572,1573,1575,1578,1580,1582],{},[96,1574,680],{},[96,1576,1577],{},"⚠️ 仅企业版",[96,1579,667],{},[96,1581,667],{},[96,1583,1584],{},"⚠️",[78,1586,1587,1589,1592,1595,1597],{},[96,1588,693],{},[96,1590,1591],{},"★ 最简单",[96,1593,1594],{},"★★★",[96,1596,1594],{},[96,1598,1599],{},"★★",[78,1601,1602,1604,1606,1608,1610],{},[96,1603,709],{},[96,1605,704],{},[96,1607,712],{},[96,1609,696],{},[96,1611,696],{},[78,1613,1614,1616,1618,1620,1622],{},[96,1615,723],{},[96,1617,696],{},[96,1619,704],{},[96,1621,712],{},[96,1623,696],{},[78,1625,1626,1629,1631,1633,1635],{},[96,1627,1628],{},"字节生态",[96,1630,712],{},[96,1632,670],{},[96,1634,670],{},[96,1636,1637],{},"❌（腾讯系）",[78,1639,1640,1643,1646,1648,1650],{},[96,1641,1642],{},"插件市场",[96,1644,1645],{},"★★★★★ 200+",[96,1647,696],{},[96,1649,696],{},[96,1651,696],{},[78,1653,1654,1657,1659,1661,1663],{},[96,1655,1656],{},"中文社区",[96,1658,712],{},[96,1660,704],{},[96,1662,704],{},[96,1664,704],{},[34,1666,1667,1669,1670,785,1673,1227],{},[37,1668,778],{},"（综合 ",[49,1671,784],{"href":782,"rel":1672},[179],[49,1674,790],{"href":788,"rel":1675},[179],[222,1677,1678,1684,1691,1697],{},[160,1679,1680,1683],{},[37,1681,1682],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[160,1685,1686,805,1689],{},[37,1687,1688],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队",[49,1690,11],{"href":1546},[160,1692,1693,805,1695],{},[37,1694,812],{},[49,1696,189],{"href":188},[160,1698,1699,805,1702],{},[37,1700,1701],{},"QQ \u002F 微信生态 + 腾讯系",[49,1703,1704],{"href":1555},"元器",[22,1706,833],{"id":833},[222,1708,1709,1719,1725,1740,1750,1756,1767,1773],{},[160,1710,1711,1714,1715,1718],{},[37,1712,1713],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[37,1716,1717],{},"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",[160,1720,1721,1724],{},[37,1722,1723],{},"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",[160,1726,1727,1730,1731,1734,1735,1739],{},[37,1728,1729],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[344,1732,1733],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[49,1736,1738],{"href":1224,"rel":1737},[179],"火山引擎 2025 教程","）",[160,1741,1742,1745,1746,1749],{},[37,1743,1744],{},"工作流读取飞书表格默认 20 条","：要改 ",[344,1747,1748],{},"page_size","，最大 500 条；超过 500 要分页或循环",[160,1751,1752,1755],{},[37,1753,1754],{},"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",[160,1757,1758,1761,1762,976,1764,1766],{},[37,1759,1760],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[49,1763,11],{"href":1546},[49,1765,189],{"href":188}," 自托管",[160,1768,1769,1772],{},[37,1770,1771],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[160,1774,1775,1778],{},[37,1776,1777],{},"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",[22,1780,910],{"id":909},[34,1782,913],{},[222,1784,1785,1788,1791,1794,1797],{},[160,1786,1787],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[160,1789,1790],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[160,1792,1793],{},"个人副业（小红书账号批量内容生成等）",[160,1795,1796],{},"中小企业客服 Bot（3 天上线）",[160,1798,1799],{},"想用豆包 \u002F DeepSeek 国产模型的人",[34,1801,936],{},[222,1803,1804,1807,1810,1815,1822],{},[160,1805,1806],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[160,1808,1809],{},"复杂业务系统深度集成（自由度不够）",[160,1811,1812,1813,1739],{},"反感字节生态（去 ",[49,1814,11],{"href":1546},[160,1816,1817,1818,976,1820,1739],{},"希望开源 \u002F 完全自主可控（去 ",[49,1819,11],{"href":1546},[49,1821,189],{"href":188},[160,1823,1824,1825,976,1827,1829],{},"海外 toB SaaS 产品后端（",[49,1826,11],{"href":1546},[49,1828,830],{"href":829}," 更合适）",[22,1831,968],{"id":968},[222,1833,1834,1846,1858,1873],{},[160,1835,973,1836,976,1838,976,1840,976,1842,976,1844],{},[49,1837,11],{"href":1546},[49,1839,189],{"href":188},[49,1841,1704],{"href":1555},[49,1843,830],{"href":829},[49,1845,657],{"href":656},[160,1847,1848,1849,976,1851,976,1853,976,1855],{},"概念：",[49,1850,989],{"href":988},[49,1852,993],{"href":992},[49,1854,1000],{"href":999},[49,1856,1857],{"href":988},"Multi-Agent",[160,1859,1860,1861,976,1865,976,1867,976,1871],{},"模型：",[49,1862,1864],{"href":1863},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[49,1866,1015],{"href":1014},[49,1868,1870],{"href":1869},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[49,1872,1019],{"href":1018},[160,1874,1022,1875,976,1879],{},[49,1876,1878],{"href":1877},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[49,1880,1030],{"href":1029},[22,1882,1033],{"id":1033},[222,1884,1885,1891,1897,1904,1907],{},[160,1886,1887,1888],{},"国内版：",[49,1889,1170],{"href":1170,"rel":1890},[179],[160,1892,1893,1894],{},"国际版：",[49,1895,1176],{"href":1176,"rel":1896},[179],[160,1898,1899,1900],{},"官方文档：",[49,1901,1902],{"href":1902,"rel":1903},"https:\u002F\u002Fdocs.coze.com",[179],[160,1905,1906],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[160,1908,1909],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[34,1911,1912,1913,1071],{},"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 ",[49,1914,1070],{"href":1070},{"title":342,"searchDepth":374,"depth":374,"links":1916},[1917,1918,1924,1925,1926,1927,1928,1929,1930],{"id":24,"depth":364,"text":25},{"id":62,"depth":364,"text":62,"children":1919},[1920,1921,1922,1923],{"id":1200,"depth":374,"text":1201},{"id":1289,"depth":374,"text":1290},{"id":1336,"depth":374,"text":1337},{"id":1363,"depth":374,"text":1364},{"id":242,"depth":364,"text":242},{"id":504,"depth":364,"text":505},{"id":632,"depth":364,"text":632},{"id":833,"depth":364,"text":833},{"id":909,"depth":364,"text":910},{"id":968,"depth":364,"text":968},{"id":1033,"depth":364,"text":1033},"\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。",[1104,1105],{},[1936,1937,1938,1939,1940],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[1942,1943,1944],"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",[1947],"web",[1949,1955,1960,1964],{"plan":1950,"price":1951,"limit":1952,"cn_pay":1953,"note":1954},"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":1472,"price":1956,"limit":1957,"cn_pay":1958,"note":1959},"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":1478,"price":1961,"limit":1962,"cn_pay":667,"note":1963},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":1965,"price":1966,"cn_pay":1967,"note":1968,"limit":1953},"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",{"power":386,"ux":401,"price":386,"cn_support":401,"stability":386},{"title":52,"description":1932},[1973,1975,1977,1979,1981],{"title":1974,"url":1170},"Coze 国内版（扣子）",{"title":1976,"url":1176},"Coze 国际版",{"title":1978,"url":1902},"Coze 官方文档",{"title":1980,"url":788},"Coze vs Dify vs FastGPT 选型 2026",{"title":1982,"url":782},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[1985,1986,1987,1988,1989],"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",[1134,1992,1138,1993,1994,1995],"low-code","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 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labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[49,2787,2790],{"href":2788,"rel":2789},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[179],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[37,2793,2794],{},"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。",[34,2797,2798,2799,2802,2803,2806],{},"最大价值在 ",[37,2800,2801],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[37,2804,2805],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[55,2808,2809],{},[34,2810,2811,2812,2817],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[49,2813,2816],{"href":2814,"rel":2815},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[179],"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。",[22,2819,62],{"id":62},[64,2821,2823],{"id":2822},"知识库管理核心能力","知识库管理（核心能力）",[34,2825,2826],{},"支持文件类型：",[222,2828,2829,2832,2835,2838],{},[160,2830,2831],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[160,2833,2834],{},"表格：Excel \u002F CSV",[160,2836,2837],{},"网页：URL 抓取 + 定时同步",[160,2839,2840],{},"API：通过接口推送内容",[34,2842,2843],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[222,2845,2846,2852,2858,2864],{},[160,2847,2848,2851],{},[37,2849,2850],{},"文件夹分组","：不同主题 \u002F 部门分类",[160,2853,2854,2857],{},[37,2855,2856],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[160,2859,2860,2863],{},[37,2861,2862],{},"批量导入","：脚本化大批量同步",[160,2865,2866,2869],{},[37,2867,2868],{},"定时同步","：网页源自动更新",[64,2871,2873],{"id":2872},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[34,2875,2876,2880],{},[49,2877,2879],{"href":2814,"rel":2878},[179],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[157,2882,2883,2889,2895,2901,2907],{},[160,2884,2885,2888],{},[37,2886,2887],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[160,2890,2891,2894],{},[37,2892,2893],{},"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",[160,2896,2897,2900],{},[37,2898,2899],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[160,2902,2903,2906],{},[37,2904,2905],{},"上下文组装","：最优 chunk + 问题 → prompt",[160,2908,2909,2912],{},[37,2910,2911],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[34,2914,2915,2916,2919],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[37,2917,2918],{},"纯知识库 QA 精度","上更高的原因。",[64,2921,2923],{"id":2922},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[72,2925,2926,2936],{},[75,2927,2928],{},[78,2929,2930,2933],{},[81,2931,2932],{},"模型类别",[81,2934,2935],{},"支持",[91,2937,2938,2946,2953,2961,2969],{},[78,2939,2940,2943],{},[96,2941,2942],{},"国产闭源",[96,2944,2945],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[78,2947,2948,2950],{},[96,2949,664],{},[96,2951,2952],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[78,2954,2955,2958],{},[96,2956,2957],{},"OpenAI 系",[96,2959,2960],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[78,2962,2963,2966],{},[96,2964,2965],{},"Claude 系",[96,2967,2968],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[78,2970,2971,2974],{},[96,2972,2973],{},"嵌入 \u002F 重排",[96,2975,2976],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[34,2978,2979,2980,2983],{},"可以在 ",[37,2981,2982],{},"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。",[64,2985,2986],{"id":2986},"工作流与高级编排",[34,2988,2989],{},"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。",[64,2991,2992],{"id":2992},"多向量库选择",[34,2994,2995,2999],{},[49,2996,2998],{"href":2788,"rel":2997},[179],"腾讯云教程"," 公开的 4 种向量后端：",[72,3001,3002,3012],{},[75,3003,3004],{},[78,3005,3006,3009],{},[81,3007,3008],{},"后端",[81,3010,3011],{},"适用",[91,3013,3014,3022,3030,3038],{},[78,3015,3016,3019],{},[96,3017,3018],{},"PgVector",[96,3020,3021],{},"5000 万索引以下，新手 \u002F 小规模",[78,3023,3024,3027],{},[96,3025,3026],{},"Milvus",[96,3028,3029],{},"亿级以上，高性能",[78,3031,3032,3035],{},[96,3033,3034],{},"Zilliz Cloud",[96,3036,3037],{},"Milvus 全托管 SaaS",[78,3039,3040,3043],{},[96,3041,3042],{},"SeekDB \u002F OceanBase",[96,3044,3045],{},"企业级国产化",[34,3047,3048,3049,1454],{},"部署时选对应 ",[344,3050,3051],{},"docker-compose.{pgvector|milvus|...}.yml",[64,3053,3055],{"id":3054},"api-与-mcp","API 与 MCP",[222,3057,3058,3064,3070,3081],{},[160,3059,3060,3063],{},[37,3061,3062],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[160,3065,3066,3069],{},[37,3067,3068],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[160,3071,3072,3075,3076,3080],{},[37,3073,3074],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[49,3077,3079],{"href":3078},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[160,3082,3083,3086],{},[37,3084,3085],{},"Webhook","：回调通知",[22,3088,3090],{"id":3089},"部署-10-分钟docker","部署 10 分钟（Docker）",[337,3092,3094],{"className":339,"code":3093,"language":341,"meta":342,"style":342},"# 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",[344,3095,3096,3101,3110,3117,3121,3126,3139,3143,3148,3155,3163,3167,3172,3187,3191],{"__ignoreMap":342},[347,3097,3098],{"class":349,"line":350},[347,3099,3100],{"class":404},"# 克隆代码\n",[347,3102,3103,3105,3107],{"class":349,"line":364},[347,3104,354],{"class":353},[347,3106,358],{"class":357},[347,3108,3109],{"class":357}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[347,3111,3112,3114],{"class":349,"line":374},[347,3113,368],{"class":367},[347,3115,3116],{"class":357}," FastGPT\n",[347,3118,3119],{"class":349,"line":386},[347,3120,554],{"emptyLinePlaceholder":553},[347,3122,3123],{"class":349,"line":401},[347,3124,3125],{"class":404},"# 切到最新稳定版（参考 GitHub releases）\n",[347,3127,3128,3130,3133,3136],{"class":349,"line":550},[347,3129,354],{"class":353},[347,3131,3132],{"class":357}," switch",[347,3134,3135],{"class":367}," -c",[347,3137,3138],{"class":367}," 4.14.7.2\n",[347,3140,3141],{"class":349,"line":5},[347,3142,554],{"emptyLinePlaceholder":553},[347,3144,3145],{"class":349,"line":8},[347,3146,3147],{"class":404},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[347,3149,3150,3152],{"class":349,"line":567},[347,3151,368],{"class":367},[347,3153,3154],{"class":357}," deploy\u002Fdocker\u002Fcn\n",[347,3156,3157,3160],{"class":349,"line":7},[347,3158,3159],{"class":353},"wget",[347,3161,3162],{"class":357}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[347,3164,3165],{"class":349,"line":577},[347,3166,554],{"emptyLinePlaceholder":553},[347,3168,3169],{"class":349,"line":582},[347,3170,3171],{"class":404},"# 启动\n",[347,3173,3174,3177,3180,3183,3185],{"class":349,"line":588},[347,3175,3176],{"class":353},"docker-compose",[347,3178,3179],{"class":367}," -f",[347,3181,3182],{"class":357}," docker-compose.pg.yml",[347,3184,395],{"class":357},[347,3186,398],{"class":367},[347,3188,3189],{"class":349,"line":594},[347,3190,554],{"emptyLinePlaceholder":553},[347,3192,3194],{"class":349,"line":3193},15,[347,3195,3196],{"class":404},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[34,3198,3199],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[34,3201,3202],{},"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。",[22,3204,3206],{"id":3205},"云版-vs-自托管对比","云版 vs 自托管对比",[34,3208,3209,3214],{},[49,3210,3213],{"href":3211,"rel":3212},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[179],"fastgpt.io 官方定价"," 公开数据：",[72,3216,3217,3242],{},[75,3218,3219],{},[78,3220,3221,3223,3225,3228,3231,3234,3236,3239],{},[81,3222,264],{},[81,3224,267],{},[81,3226,3227],{},"AI 积分",[81,3229,3230],{},"知识库索引",[81,3232,3233],{},"团队",[81,3235,113],{},[81,3237,3238],{},"知识库",[81,3240,3241],{},"QPM",[91,3243,3244,3268,3293,3317],{},[78,3245,3246,3248,3250,3253,3256,3259,3262,3265],{},[96,3247,280],{},[96,3249,1951],{},[96,3251,3252],{},"100",[96,3254,3255],{},"600",[96,3257,3258],{},"1",[96,3260,3261],{},"10",[96,3263,3264],{},"3",[96,3266,3267],{},"30",[78,3269,3270,3273,3276,3279,3282,3285,3288,3290],{},[96,3271,3272],{},"基础",[96,3274,3275],{},"¥99\u002F月",[96,3277,3278],{},"4000",[96,3280,3281],{},"6000",[96,3283,3284],{},"5",[96,3286,3287],{},"50",[96,3289,3267],{},[96,3291,3292],{},"300",[78,3294,3295,3298,3301,3304,3307,3309,3312,3314],{},[96,3296,3297],{},"高级",[96,3299,3300],{},"¥599\u002F月",[96,3302,3303],{},"25000",[96,3305,3306],{},"36000",[96,3308,3287],{},[96,3310,3311],{},"200",[96,3313,3252],{},[96,3315,3316],{},"1500",[78,3318,3319,3322,3324,3327,3329,3331,3333,3335],{},[96,3320,3321],{},"定制",[96,3323,1961],{},[96,3325,3326],{},"弹性",[96,3328,3326],{},[96,3330,3326],{},[96,3332,3326],{},[96,3334,3326],{},[96,3336,3326],{},[34,3338,3339,3342,3343,3346,3347,3351],{},[37,3340,3341],{},"云版适合","：不想运维、量小、要快速上线\n",[37,3344,3345],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[49,3348,3350],{"href":2814,"rel":3349},[179],"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\"",[22,3353,632],{"id":632},[72,3355,3356,3378],{},[75,3357,3358],{},[78,3359,3360,3362,3364,3368,3372,3375],{},[81,3361,641],{},[81,3363,189],{},[81,3365,3366],{},[49,3367,11],{"href":1546},[81,3369,3370],{},[49,3371,52],{"href":51},[81,3373,3374],{},"RAGFlow",[81,3376,3377],{},"AnythingLLM",[91,3379,3380,3400,3416,3431,3448,3463,3480,3495],{},[78,3381,3382,3385,3388,3391,3394,3397],{},[96,3383,3384],{},"核心定位",[96,3386,3387],{},"知识库 QA",[96,3389,3390],{},"综合 LLMOps",[96,3392,3393],{},"Bot + 工作流",[96,3395,3396],{},"文档解析+RAG",[96,3398,3399],{},"桌面级 KB",[78,3401,3402,3404,3407,3409,3411,3413],{},[96,3403,664],{},[96,3405,3406],{},"✅ Apache 2.0",[96,3408,3406],{},[96,3410,670],{},[96,3412,3406],{},[96,3414,3415],{},"✅ MIT",[78,3417,3418,3420,3423,3425,3427,3429],{},[96,3419,680],{},[96,3421,3422],{},"★★★★★ docker",[96,3424,712],{},[96,3426,1577],{},[96,3428,704],{},[96,3430,712],{},[78,3432,3433,3436,3439,3441,3443,3446],{},[96,3434,3435],{},"RAG 深度",[96,3437,3438],{},"★★★★★ 最细",[96,3440,704],{},[96,3442,696],{},[96,3444,3445],{},"★★★★★ 文档解析最强",[96,3447,696],{},[78,3449,3450,3453,3455,3457,3459,3461],{},[96,3451,3452],{},"工作流",[96,3454,704],{},[96,3456,712],{},[96,3458,704],{},[96,3460,696],{},[96,3462,732],{},[78,3464,3465,3468,3471,3473,3476,3478],{},[96,3466,3467],{},"上手",[96,3469,3470],{},"★★★☆☆ 需 docker",[96,3472,704],{},[96,3474,3475],{},"★★★★★ 最简单",[96,3477,696],{},[96,3479,704],{},[78,3481,3482,3485,3487,3489,3491,3493],{},[96,3483,3484],{},"中文优化",[96,3486,712],{},[96,3488,704],{},[96,3490,712],{},[96,3492,704],{},[96,3494,696],{},[78,3496,3497,3500,3503,3505,3507,3509],{},[96,3498,3499],{},"多平台发布",[96,3501,3502],{},"⚠️ API 为主",[96,3504,704],{},[96,3506,712],{},[96,3508,1584],{},[96,3510,1584],{},[34,3512,3513,1669,3515,1227],{},[37,3514,778],{},[49,3516,3518],{"href":2814,"rel":3517},[179],"南环 AI 评测",[222,3520,3521,3527,3534,3541,3547],{},[160,3522,3523,3526],{},[37,3524,3525],{},"核心需求是 RAG 精度"," → FastGPT",[160,3528,3529,805,3532],{},[37,3530,3531],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[49,3533,11],{"href":1546},[160,3535,3536,805,3539],{},[37,3537,3538],{},"零代码、快速发布到飞书 \u002F 微信",[49,3540,52],{"href":51},[160,3542,3543,3546],{},[37,3544,3545],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[160,3548,3549,3552],{},[37,3550,3551],{},"桌面 \u002F 单机使用"," → AnythingLLM",[34,3554,3555,3558],{},[37,3556,3557],{},"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。",[22,3560,833],{"id":833},[222,3562,3563,3576,3585,3591,3601,3613,3619,3625],{},[160,3564,3565,850,3568,3571,3572,3575],{},[37,3566,3567],{},"docker-compose 镜像 tag 不一致",[49,3569,2998],{"href":2788,"rel":3570},[179]," 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 ",[344,3573,3574],{},"image:"," 行为正确版本即可",[160,3577,3578,3581,3582,3584],{},[37,3579,3580],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[344,3583,3176],{}," 的 ports 映射端口",[160,3586,3587,3590],{},[37,3588,3589],{},"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",[160,3592,3593,3596,3597,3600],{},[37,3594,3595],{},"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 ",[49,3598,3350],{"href":2814,"rel":3599},[179],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[160,3602,3603,850,3606,3609,3610],{},[37,3604,3605],{},"MinIO 默认密码",[344,3607,3608],{},"minioadmin\u002Fminioadmin","，",[37,3611,3612],{},"部署到公网前必须改",[160,3614,3615,3618],{},[37,3616,3617],{},"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\"",[160,3620,3621,3624],{},[37,3622,3623],{},"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",[160,3626,3627,3630,3631,1739],{},[37,3628,3629],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[49,3632,3634],{"href":3211,"rel":3633},[179],"fastgpt.io 定价 FAQ",[22,3636,910],{"id":909},[34,3638,913],{},[222,3640,3641,3644,3647,3650,3653,3656],{},[160,3642,3643],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[160,3645,3646],{},"产品 FAQ \u002F 用户手册问答",[160,3648,3649],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[160,3651,3652],{},"数据严格不出网 + Apache 2.0 商用",[160,3654,3655],{},"有 docker 运维基础的技术团队",[160,3657,3658],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[34,3660,936],{},[222,3662,3663,3668,3673,3676],{},[160,3664,3665,3666,1739],{},"完全非技术用户（去 ",[49,3667,52],{"href":51},[160,3669,3670,3671,1739],{},"主要需求是工作流 + 插件集成（去 ",[49,3672,11],{"href":1546},[160,3674,3675],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[160,3677,3678],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[22,3680,968],{"id":968},[222,3682,3683,3692,3708,3722],{},[160,3684,973,3685,976,3687,3689,3690],{},[49,3686,11],{"href":1546},[49,3688,52],{"href":51}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[49,3691,657],{"href":656},[160,3693,1848,3694,976,3696,976,3700,976,3703,976,3706],{},[49,3695,993],{"href":992},[49,3697,3699],{"href":3698},"\u002Fwiki\u002Fembedding.html","Embedding",[49,3701,3702],{"href":3698},"Vector Database",[49,3704,3705],{"href":992},"Reranker",[49,3707,989],{"href":988},[160,3709,1860,3710,976,3712,976,3714,976,3716,976,3720],{},[49,3711,1015],{"href":1014},[49,3713,1870],{"href":1869},[49,3715,1019],{"href":1018},[49,3717,3719],{"href":3718},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[49,3721,1864],{"href":1863},[160,3723,1022,3724,976,3726],{},[49,3725,1030],{"href":1029},[49,3727,1878],{"href":1877},[22,3729,1033],{"id":1033},[222,3731,3732,3738,3744,3750],{},[160,3733,1038,3734],{},[49,3735,3736],{"href":3736,"rel":3737},"https:\u002F\u002Ffastgpt.io",[179],[160,3739,1051,3740],{},[49,3741,3742],{"href":3742,"rel":3743},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[179],[160,3745,3746,3747],{},"定价：",[49,3748,3211],{"href":3211,"rel":3749},[179],[160,3751,3752],{},"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",[34,3754,3755,3756,1071],{},"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 ",[49,3757,1070],{"href":1070},[1073,3759,3760],{},"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 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var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":342,"searchDepth":374,"depth":374,"links":3762},[3763,3764,3772,3773,3774,3775,3776,3777,3778],{"id":24,"depth":364,"text":25},{"id":62,"depth":364,"text":62,"children":3765},[3766,3767,3768,3769,3770,3771],{"id":2822,"depth":374,"text":2823},{"id":2872,"depth":374,"text":2873},{"id":2922,"depth":374,"text":2923},{"id":2986,"depth":374,"text":2986},{"id":2992,"depth":374,"text":2992},{"id":3054,"depth":374,"text":3055},{"id":3089,"depth":364,"text":3090},{"id":3205,"depth":364,"text":3206},{"id":632,"depth":364,"text":632},{"id":833,"depth":364,"text":833},{"id":909,"depth":364,"text":910},{"id":968,"depth":364,"text":968},{"id":1033,"depth":364,"text":1033},"\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。",[1104,1105],{},[1937,1938,1936,3784,3785,3786],"gpt-4o","claude-sonnet-4","kimi",[3788,3789,3790],"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",[1111,1112,1113],[3794,3798,3803,3807,3811],{"plan":3795,"price":280,"limit":3796,"cn_pay":1953,"note":3797},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":3799,"price":3800,"limit":3801,"cn_pay":1953,"note":3802},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":3804,"price":3275,"limit":3805,"cn_pay":1958,"note":3806},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":3808,"price":3300,"limit":3809,"cn_pay":667,"note":3810},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":3812,"price":1961,"limit":3813,"cn_pay":667,"note":3814},"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":386,"ux":386,"price":401,"cn_support":401,"stability":386},{"title":189,"description":3780},[3819,3821,3823,3825,3827],{"title":3820,"url":3736},"FastGPT 官网",{"title":3822,"url":3742},"FastGPT GitHub",{"title":3824,"url":3211},"FastGPT 定价页",{"title":3826,"url":2814},"FastGPT 2025 测评（南环 AI）",{"title":3828,"url":2788},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[3831,3832,3833,3834,3835],"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",[1134,1135,1136,1137,3838,3839,3840],"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":3844,"title":830,"alternatives":3845,"api_compatible":17,"body":3854,"category":1098,"chinese_friendly":374,"cover":4418,"description":4419,"domestic":1101,"extension":1102,"faq":4420,"free":1101,"github":17,"languages":4433,"meta":4435,"models":17,"navigation":553,"notSuitable":17,"opensource":553,"path":4436,"pillar":1109,"platforms":4437,"priceTable":4439,"pricing":4452,"published":4453,"relatedPlaybooks":4454,"relatedReviews":17,"score":4458,"self_host":553,"seo":4459,"slug":16,"sources":4460,"stem":4470,"suitable":17,"tagline":4471,"tags":4472,"updated":1141,"verdict":4476,"website":4463,"__hash__":4477},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md",[3846,3848,3851],{"name":657,"url":3847},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":3849,"url":3850},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"name":3852,"url":3853},"openmanus","\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",{"type":19,"value":3855,"toc":4406},[3856,3858,3861,3864,3867,3941,3943,3968,3973,3977,3982,4008,4013,4039,4041,4097,4100,4123,4126,4267,4270,4325,4327,4353,4355,4372,4374,4404],[22,3857,25],{"id":24},[34,3859,3860],{},"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。",[34,3862,3863],{},"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）。",[22,3865,3866],{"id":3866},"核心能力",[222,3868,3869,3875,3881,3887,3893,3899,3905,3911,3917,3923,3929,3935],{},[160,3870,3871,3874],{},[37,3872,3873],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[160,3876,3877,3880],{},[37,3878,3879],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[160,3882,3883,3886],{},[37,3884,3885],{},"多 agent 工作流","：编排多 agent 协作",[160,3888,3889,3892],{},[37,3890,3891],{},"Python 下钻","：任意节点可写 custom Python",[160,3894,3895,3898],{},[37,3896,3897],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[160,3900,3901,3904],{},[37,3902,3903],{},"API 部署","：流程一键导出为 REST API",[160,3906,3907,3910],{},[37,3908,3909],{},"Real-time collaboration","：多用户同 project",[160,3912,3913,3916],{},[37,3914,3915],{},"版本控制","：内置 versioning + revert",[160,3918,3919,3922],{},[37,3920,3921],{},"数据可视化","：node output \u002F data flow 可视化调试",[160,3924,3925,3928],{},[37,3926,3927],{},"角色权限","：user auth + RBAC",[160,3930,3931,3934],{},[37,3932,3933],{},"Docker \u002F pip 安装","：5 分钟启动",[160,3936,3937,3940],{},[37,3938,3939],{},"Astra-hosted cloud","：DataStax 托管选项",[22,3942,267],{"id":267},[222,3944,3945,3951,3957,3963],{},[160,3946,3947,3950],{},[37,3948,3949],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[160,3952,3953,3956],{},[37,3954,3955],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[160,3958,3959,3962],{},[37,3960,3961],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[160,3964,3965,3967],{},[37,3966,310],{},"：联系销售；SSO + audit + 私有部署 + SLA",[55,3969,3970],{},[34,3971,3972],{},"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。",[22,3974,3976],{"id":3975},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[34,3978,3979],{},[37,3980,3981],{},"亮点：",[222,3983,3984,3987,3990,3993,3996,3999,4002,4005],{},[160,3985,3986],{},"画布直观，比纯写 LangChain 协作效率高 5x",[160,3988,3989],{},"节点下钻到 Python 让灵活度不被画布限制",[160,3991,3992],{},"Astra DB 集成省了配 vector store 时间",[160,3994,3995],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[160,3997,3998],{},"开源 + 自托管 + 数据驻留满足合规",[160,4000,4001],{},"多 agent 编排比裸 LangChain 调试容易",[160,4003,4004],{},"RAG pipeline 模板一键起 demo",[160,4006,4007],{},"与 DataStax 长期支持降低 abandon ware 风险",[34,4009,4010],{},[37,4011,4012],{},"踩坑：",[222,4014,4015,4018,4021,4024,4027,4030,4033,4036],{},[160,4016,4017],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[160,4019,4020],{},"第三方 API 依赖：external API 失败时错误处理弱",[160,4022,4023],{},"production readiness 不算 mission-critical（要自加 observability）",[160,4025,4026],{},"LangChain 升级偶尔 break 旧 flow",[160,4028,4029],{},"文档对新组件滞后 1-2 月",[160,4031,4032],{},"中文 UI 不完整，业务侧用户上手陡",[160,4034,4035],{},"大型 flow（100+ 节点）画布卡顿",[160,4037,4038],{},"多人协作偶发同步冲突",[22,4040,3467],{"id":3467},[337,4042,4044],{"className":339,"code":4043,"language":341,"meta":342,"style":342},"# 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",[344,4045,4046,4051,4062,4073,4077,4082],{"__ignoreMap":342},[347,4047,4048],{"class":349,"line":350},[347,4049,4050],{"class":404},"# pip 安装\n",[347,4052,4053,4056,4059],{"class":349,"line":364},[347,4054,4055],{"class":353},"pip",[347,4057,4058],{"class":357}," install",[347,4060,4061],{"class":357}," langflow\n",[347,4063,4064,4067,4070],{"class":349,"line":374},[347,4065,4066],{"class":353},"langflow",[347,4068,4069],{"class":357}," run",[347,4071,4072],{"class":404},"  # http:\u002F\u002Flocalhost:7860\n",[347,4074,4075],{"class":349,"line":386},[347,4076,554],{"emptyLinePlaceholder":553},[347,4078,4079],{"class":349,"line":401},[347,4080,4081],{"class":404},"# 或 Docker\n",[347,4083,4084,4086,4088,4091,4094],{"class":349,"line":550},[347,4085,389],{"class":353},[347,4087,4069],{"class":357},[347,4089,4090],{"class":367}," -p",[347,4092,4093],{"class":357}," 7860:7860",[347,4095,4096],{"class":357}," langflowai\u002Flangflow:latest\n",[34,4098,4099],{},"试 RAG 流：",[157,4101,4102,4105,4108,4111,4114,4117,4120],{},[160,4103,4104],{},"新建 flow → 选 Document QA 模板",[160,4106,4107],{},"Document Loader 节点 → 上传 PDF",[160,4109,4110],{},"Splitter → Embedder（OpenAI 或本地）",[160,4112,4113],{},"VectorStore（Astra \u002F Chroma）",[160,4115,4116],{},"Retriever + ChatOpenAI → Chat Output",[160,4118,4119],{},"部署为 API → 拿到 endpoint",[160,4121,4122],{},"复杂场景下钻节点写 Python 自定义",[22,4124,4125],{"id":4125},"对比",[72,4127,4128,4143],{},[75,4129,4130],{},[78,4131,4132,4134,4136,4138,4140],{},[81,4133,641],{},[81,4135,830],{},[81,4137,11],{},[81,4139,657],{},[81,4141,4142],{},"Flowise",[91,4144,4145,4162,4176,4190,4204,4220,4233,4250],{},[78,4146,4147,4150,4153,4156,4159],{},[96,4148,4149],{},"中心",[96,4151,4152],{},"LangChain primitive",[96,4154,4155],{},"LLMOps 全平台",[96,4157,4158],{},"通用 workflow",[96,4160,4161],{},"LangChain（JS）",[78,4163,4164,4166,4168,4171,4174],{},[96,4165,664],{},[96,4167,3415],{},[96,4169,4170],{},"✅ AGPL",[96,4172,4173],{},"✅ Sustainable",[96,4175,3415],{},[78,4177,4178,4180,4183,4186,4188],{},[96,4179,450],{},[96,4181,4182],{},"✅ pip\u002FDocker",[96,4184,4185],{},"✅ Docker",[96,4187,4185],{},[96,4189,667],{},[78,4191,4192,4195,4198,4200,4202],{},[96,4193,4194],{},"可视化",[96,4196,4197],{},"✅ 旗舰",[96,4199,667],{},[96,4201,667],{},[96,4203,667],{},[78,4205,4206,4209,4212,4215,4218],{},[96,4207,4208],{},"代码下钻",[96,4210,4211],{},"✅ Python",[96,4213,4214],{},"部分",[96,4216,4217],{},"✅ JS",[96,4219,4217],{},[78,4221,4222,4225,4227,4229,4231],{},[96,4223,4224],{},"RAG 内置",[96,4226,667],{},[96,4228,667],{},[96,4230,4214],{},[96,4232,667],{},[78,4234,4235,4238,4241,4244,4247],{},[96,4236,4237],{},"起价（云）",[96,4239,4240],{},"$25\u002F月",[96,4242,4243],{},"$59\u002F月（Team）",[96,4245,4246],{},"自托管 $0",[96,4248,4249],{},"–",[78,4251,4252,4255,4258,4261,4264],{},[96,4253,4254],{},"适合",[96,4256,4257],{},"工程 + LangChain",[96,4259,4260],{},"业务 + LLMOps",[96,4262,4263],{},"通用自动化",[96,4265,4266],{},"JS 生态",[22,4268,4269],{"id":4269},"避坑",[222,4271,4272,4278,4284,4290,4296,4302,4308,4314,4319],{},[160,4273,4274,4277],{},[37,4275,4276],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[160,4279,4280,4283],{},[37,4281,4282],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[160,4285,4286,4289],{},[37,4287,4288],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[160,4291,4292,4295],{},[37,4293,4294],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[160,4297,4298,4301],{},[37,4299,4300],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[160,4303,4304,4307],{},[37,4305,4306],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[160,4309,4310,4313],{},[37,4311,4312],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[160,4315,4316,4318],{},[37,4317,751],{},"：UI 英文为主，业务侧用户先培训",[160,4320,4321,4324],{},[37,4322,4323],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[22,4326,910],{"id":909},[222,4328,4329,4332,4335,4338,4341,4344,4347,4350],{},[160,4330,4331],{},"✅ 工程团队要可视化建 LangChain 流",[160,4333,4334],{},"✅ 合规 \u002F 数据驻留要求自托管",[160,4336,4337],{},"✅ 要 Astra DB 一站式 RAG",[160,4339,4340],{},"✅ Python 团队 + 想画布 + 想下钻代码",[160,4342,4343],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[160,4345,4346],{},"❌ 纯无代码偏好",[160,4348,4349],{},"❌ 轻量场景 + 直接写 LangChain 更快",[160,4351,4352],{},"❌ JS 生态优先（用 Flowise）",[22,4354,968],{"id":968},[222,4356,4357,4362,4367],{},[160,4358,4359],{},[49,4360,4361],{"href":3847},"n8n 评测",[160,4363,4364],{},[49,4365,4366],{"href":3850},"Composio 评测",[160,4368,4369],{},[49,4370,4371],{"href":3853},"OpenManus 评测",[22,4373,1033],{"id":1033},[157,4375,4376,4383,4390,4397],{},[160,4377,4378,4379],{},"Langflow 官网 + 定价 ",[49,4380,4381],{"href":4381,"rel":4382},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[179],[160,4384,4385,4386],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[49,4387,4388],{"href":4388,"rel":4389},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[179],[160,4391,4392,4393],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[49,4394,4395],{"href":4395,"rel":4396},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[179],[160,4398,4399,4400],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[49,4401,4402],{"href":4402,"rel":4403},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[179],[1073,4405,3760],{},{"title":342,"searchDepth":374,"depth":374,"links":4407},[4408,4409,4410,4411,4412,4413,4414,4415,4416,4417],{"id":24,"depth":364,"text":25},{"id":3866,"depth":364,"text":3866},{"id":267,"depth":364,"text":267},{"id":3975,"depth":364,"text":3976},{"id":3467,"depth":364,"text":3467},{"id":4125,"depth":364,"text":4125},{"id":4269,"depth":364,"text":4269},{"id":909,"depth":364,"text":910},{"id":968,"depth":364,"text":968},{"id":1033,"depth":364,"text":1033},"\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。",[4421,4424,4427,4430],{"q":4422,"a":4423},"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":4425,"a":4426},"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":4428,"a":4429},"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":4431,"a":4432},"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。",[1105,4434],"multi",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",[1136,4438,389,1947],"cloud",[4440,4443,4445,4449],{"plan":3949,"price":463,"features":4441,"notes":4442},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":3955,"price":463,"features":4444,"notes":3802},"DataStax 托管 + 小流量",{"plan":3961,"price":4446,"features":4447,"notes":4448},"~$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":310,"price":313,"features":4450,"notes":4451},"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",[4455],{"name":4456,"url":4457},"RAG 应用搭建工作流","\u002Fplaybook\u002Fonboarding\u002Frag-app-workflow",{"power":386,"ux":401,"price":401,"cn_support":374,"stability":386},{"title":830,"description":4419},[4461,4464,4466,4468],{"name":4462,"url":4463,"accessed":1141},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":4465,"url":4388,"accessed":1141},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":4467,"url":4395,"accessed":1141},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":4469,"url":4402,"accessed":1141},"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",[1135,4473,4474,1137,4475,4066],"visual-builder","langchain","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",{"id":4479,"title":657,"alternatives":4480,"api_compatible":17,"body":4484,"category":1098,"chinese_friendly":374,"cover":5132,"description":5133,"domestic":1101,"extension":1102,"faq":5134,"free":1101,"github":17,"languages":5147,"meta":5148,"models":17,"navigation":553,"notSuitable":17,"opensource":553,"path":3847,"pillar":1109,"platforms":5149,"priceTable":5150,"pricing":5166,"published":4453,"relatedPlaybooks":5167,"relatedReviews":17,"score":5171,"self_host":553,"seo":5172,"slug":15,"sources":5173,"stem":5182,"suitable":17,"tagline":5183,"tags":5184,"updated":1141,"verdict":5186,"website":5094,"__hash__":5187},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[4481,4482,4483],{"name":4066,"url":4436},{"name":3849,"url":3850},{"name":3852,"url":3853},{"type":19,"value":4485,"toc":5120},[4486,4488,4491,4494,4496,4570,4572,4597,4602,4606,4610,4636,4640,4666,4670,4795,4798,4826,4829,4831,4977,4979,5040,5042,5068,5070,5085,5087,5117],[22,4487,25],{"id":24},[34,4489,4490],{},"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。",[34,4492,4493],{},"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）。",[22,4495,3866],{"id":3866},[222,4497,4498,4504,4510,4516,4522,4528,4534,4540,4546,4552,4558,4564],{},[160,4499,4500,4503],{},[37,4501,4502],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[160,4505,4506,4509],{},[37,4507,4508],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[160,4511,4512,4515],{},[37,4513,4514],{},"原生 MCP","：MCP server 一键挂载到 agent",[160,4517,4518,4521],{},[37,4519,4520],{},"Ollama 集成","：本地 LLM 零 API 成本",[160,4523,4524,4527],{},[37,4525,4526],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[160,4529,4530,4533],{},[37,4531,4532],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[160,4535,4536,4539],{},[37,4537,4538],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[160,4541,4542,4545],{},[37,4543,4544],{},"多分支并行 + 错误处理","：production workflow 必备",[160,4547,4548,4551],{},[37,4549,4550],{},"版本控制 + Git Sync","：workflow as code",[160,4553,4554,4557],{},[37,4555,4556],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[160,4559,4560,4563],{},[37,4561,4562],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[160,4565,4566,4569],{},[37,4567,4568],{},"5800+ 社区 workflow","：clone 即用",[22,4571,267],{"id":267},[222,4573,4574,4580,4586,4592],{},[160,4575,4576,4579],{},[37,4577,4578],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[160,4581,4582,4585],{},[37,4583,4584],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[160,4587,4588,4591],{},[37,4589,4590],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[160,4593,4594,4596],{},[37,4595,310],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[55,4598,4599],{},[34,4600,4601],{},"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。",[22,4603,4605],{"id":4604},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[34,4607,4608],{},[37,4609,3981],{},[222,4611,4612,4615,4618,4621,4624,4627,4630,4633],{},[160,4613,4614],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[160,4616,4617],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[160,4619,4620],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[160,4622,4623],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[160,4625,4626],{},"5800+ 社区 workflow 节省 80% 上手时间",[160,4628,4629],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[160,4631,4632],{},"升级 Docker tag 一行，无 vendor 升级费",[160,4634,4635],{},"中文社区 \u002F B 站教程丰富",[34,4637,4638],{},[37,4639,4012],{},[222,4641,4642,4645,4648,4651,4654,4657,4660,4663],{},[160,4643,4644],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[160,4646,4647],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[160,4649,4650],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[160,4652,4653],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[160,4655,4656],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[160,4658,4659],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[160,4661,4662],{},"Webhook 公网暴露要加 IP 白名单 + secret",[160,4664,4665],{},"Worker 模式才能并发，单进程吞吐有限",[22,4667,4669],{"id":4668},"上手docker-5-分钟","上手（Docker 5 分钟）",[337,4671,4673],{"className":339,"code":4672,"language":341,"meta":342,"style":342},"# 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",[344,4674,4675,4680,4690,4694,4698,4710,4720,4730,4743,4752,4761,4771,4781,4786,4790],{"__ignoreMap":342},[347,4676,4677],{"class":349,"line":350},[347,4678,4679],{"class":404},"# 持久化目录\n",[347,4681,4682,4685,4687],{"class":349,"line":364},[347,4683,4684],{"class":353},"mkdir",[347,4686,4090],{"class":367},[347,4688,4689],{"class":357}," ~\u002Fn8n-data\n",[347,4691,4692],{"class":349,"line":374},[347,4693,554],{"emptyLinePlaceholder":553},[347,4695,4696],{"class":349,"line":386},[347,4697,3171],{"class":404},[347,4699,4700,4702,4704,4707],{"class":349,"line":401},[347,4701,389],{"class":353},[347,4703,4069],{"class":357},[347,4705,4706],{"class":367}," -d",[347,4708,4709],{"class":367}," \\\n",[347,4711,4712,4715,4718],{"class":349,"line":550},[347,4713,4714],{"class":367},"  --name",[347,4716,4717],{"class":357}," n8n",[347,4719,4709],{"class":367},[347,4721,4722,4725,4728],{"class":349,"line":5},[347,4723,4724],{"class":367},"  -p",[347,4726,4727],{"class":357}," 5678:5678",[347,4729,4709],{"class":367},[347,4731,4732,4735,4738,4741],{"class":349,"line":8},[347,4733,4734],{"class":367},"  -e",[347,4736,4737],{"class":357}," N8N_BASIC_AUTH_ACTIVE=",[347,4739,4740],{"class":367},"true",[347,4742,4709],{"class":367},[347,4744,4745,4747,4750],{"class":349,"line":567},[347,4746,4734],{"class":367},[347,4748,4749],{"class":357}," N8N_BASIC_AUTH_USER=admin",[347,4751,4709],{"class":367},[347,4753,4754,4756,4759],{"class":349,"line":7},[347,4755,4734],{"class":367},[347,4757,4758],{"class":357}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[347,4760,4709],{"class":367},[347,4762,4763,4766,4769],{"class":349,"line":577},[347,4764,4765],{"class":367},"  -v",[347,4767,4768],{"class":357}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[347,4770,4709],{"class":367},[347,4772,4773,4776,4779],{"class":349,"line":582},[347,4774,4775],{"class":367},"  --restart",[347,4777,4778],{"class":357}," always",[347,4780,4709],{"class":367},[347,4782,4783],{"class":349,"line":588},[347,4784,4785],{"class":357},"  n8nio\u002Fn8n\n",[347,4787,4788],{"class":349,"line":594},[347,4789,554],{"emptyLinePlaceholder":553},[347,4791,4792],{"class":349,"line":3193},[347,4793,4794],{"class":404},"# http:\u002F\u002Flocalhost:5678\n",[34,4796,4797],{},"连 Ollama：",[337,4799,4801],{"className":339,"code":4800,"language":341,"meta":342,"style":342},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[344,4802,4803,4811,4821],{"__ignoreMap":342},[347,4804,4805,4808],{"class":349,"line":350},[347,4806,4807],{"class":353},"ollama",[347,4809,4810],{"class":357}," serve\n",[347,4812,4813,4815,4818],{"class":349,"line":364},[347,4814,4807],{"class":353},[347,4816,4817],{"class":357}," pull",[347,4819,4820],{"class":357}," llama3.2\n",[347,4822,4823],{"class":349,"line":374},[347,4824,4825],{"class":404},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[34,4827,4828],{},"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。",[22,4830,4125],{"id":4125},[72,4832,4833,4849],{},[75,4834,4835],{},[78,4836,4837,4839,4841,4844,4847],{},[81,4838,641],{},[81,4840,657],{},[81,4842,4843],{},"Zapier",[81,4845,4846],{},"Make",[81,4848,830],{},[91,4850,4851,4864,4876,4893,4905,4919,4931,4945,4961],{},[78,4852,4853,4855,4858,4860,4862],{},[96,4854,664],{},[96,4856,4857],{},"✅ fair-code",[96,4859,670],{},[96,4861,670],{},[96,4863,3415],{},[78,4865,4866,4868,4870,4872,4874],{},[96,4867,450],{},[96,4869,4197],{},[96,4871,670],{},[96,4873,670],{},[96,4875,667],{},[78,4877,4878,4881,4884,4887,4890],{},[96,4879,4880],{},"集成数",[96,4882,4883],{},"400+",[96,4885,4886],{},"8000+",[96,4888,4889],{},"2000+",[96,4891,4892],{},"LangChain 原语",[78,4894,4895,4897,4899,4901,4903],{},[96,4896,989],{},[96,4898,4197],{},[96,4900,4214],{},[96,4902,4214],{},[96,4904,667],{},[78,4906,4907,4910,4913,4915,4917],{},[96,4908,4909],{},"LangChain 节点",[96,4911,4912],{},"✅ 70 个",[96,4914,670],{},[96,4916,670],{},[96,4918,1399],{},[78,4920,4921,4923,4925,4927,4929],{},[96,4922,996],{},[96,4924,1399],{},[96,4926,670],{},[96,4928,670],{},[96,4930,4214],{},[78,4932,4933,4936,4939,4941,4943],{},[96,4934,4935],{},"Local LLM",[96,4937,4938],{},"✅ Ollama",[96,4940,670],{},[96,4942,670],{},[96,4944,667],{},[78,4946,4947,4950,4953,4956,4959],{},[96,4948,4949],{},"起价",[96,4951,4952],{},"$0 自托管",[96,4954,4955],{},"$29.99\u002F月",[96,4957,4958],{},"$9\u002F月",[96,4960,4952],{},[78,4962,4963,4965,4968,4971,4974],{},[96,4964,4254],{},[96,4966,4967],{},"开发者 + 高量级",[96,4969,4970],{},"非技术 + 简单",[96,4972,4973],{},"中等复杂",[96,4975,4976],{},"LangChain 工程",[22,4978,4269],{"id":4269},[222,4980,4981,4987,4993,4999,5005,5011,5017,5023,5029,5034],{},[160,4982,4983,4986],{},[37,4984,4985],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[160,4988,4989,4992],{},[37,4990,4991],{},"Worker 模式","：高并发要起 worker container 才能并行",[160,4994,4995,4998],{},[37,4996,4997],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[160,5000,5001,5004],{},[37,5002,5003],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[160,5006,5007,5010],{},[37,5008,5009],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[160,5012,5013,5016],{},[37,5014,5015],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[160,5018,5019,5022],{},[37,5020,5021],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[160,5024,5025,5028],{},[37,5026,5027],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[160,5030,5031,5033],{},[37,5032,4568],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[160,5035,5036,5039],{},[37,5037,5038],{},"monitoring","：生产部署加 prometheus + 错误告警",[22,5041,910],{"id":909},[222,5043,5044,5047,5050,5053,5056,5059,5062,5065],{},[160,5045,5046],{},"✅ 开发者 + 完全控制 + 高量级自动化",[160,5048,5049],{},"✅ 从 Zapier \u002F Make 迁出降本",[160,5051,5052],{},"✅ AI Agent + LangChain + MCP 一体",[160,5054,5055],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[160,5057,5058],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[160,5060,5061],{},"❌ 完全不愿自托管 + 不想付 Cloud",[160,5063,5064],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[160,5066,5067],{},"❌ 极简 2-step 自动化（Zapier 更快）",[22,5069,968],{"id":968},[222,5071,5072,5077,5081],{},[160,5073,5074],{},[49,5075,5076],{"href":4436},"Langflow 评测",[160,5078,5079],{},[49,5080,4366],{"href":3850},[160,5082,5083],{},[49,5084,4371],{"href":3853},[22,5086,1033],{"id":1033},[157,5088,5089,5096,5103,5110],{},[160,5090,5091,5092],{},"n8n 官网 ",[49,5093,5094],{"href":5094,"rel":5095},"https:\u002F\u002Fn8n.io",[179],[160,5097,5098,5099],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[49,5100,5101],{"href":5101,"rel":5102},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[179],[160,5104,5105,5106],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[49,5107,5108],{"href":5108,"rel":5109},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[179],[160,5111,5112,5113],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[49,5114,5115],{"href":5115,"rel":5116},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[179],[1073,5118,5119],{},"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":342,"searchDepth":374,"depth":374,"links":5121},[5122,5123,5124,5125,5126,5127,5128,5129,5130,5131],{"id":24,"depth":364,"text":25},{"id":3866,"depth":364,"text":3866},{"id":267,"depth":364,"text":267},{"id":4604,"depth":364,"text":4605},{"id":4668,"depth":364,"text":4669},{"id":4125,"depth":364,"text":4125},{"id":4269,"depth":364,"text":4269},{"id":909,"depth":364,"text":910},{"id":968,"depth":364,"text":968},{"id":1033,"depth":364,"text":1033},"\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。",[5135,5138,5141,5144],{"q":5136,"a":5137},"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":5139,"a":5140},"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":5142,"a":5143},"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":5145,"a":5146},"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。",[1105,4434],{},[1136,4438,389,1947],[5151,5155,5159,5163],{"plan":5152,"price":463,"features":5153,"notes":5154},"Community (Self-host)","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":4584,"price":5156,"features":5157,"notes":5158},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":4590,"price":5160,"features":5161,"notes":5162},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":310,"price":313,"features":5164,"notes":5165},"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",[5168],{"name":5169,"url":5170},"n8n 自托管 + Ollama 自动化","\u002Fplaybook\u002Fonboarding\u002Fn8n-ollama-automation",{"power":401,"ux":386,"price":401,"cn_support":374,"stability":401},{"title":657,"description":5133},[5174,5176,5178,5180],{"name":5175,"url":5094,"accessed":1141},"n8n 官网",{"name":5177,"url":5101,"accessed":1141},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":5179,"url":5108,"accessed":1141},"Tutorials Technology — n8n + AI on Linux 2026",{"name":5181,"url":5115,"accessed":1141},"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",[1135,1138,5185,4474,1140,1136,657],"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":5189,"title":5190,"alternatives":5191,"api_compatible":17,"body":5195,"category":1098,"chinese_friendly":401,"cover":5678,"description":5679,"domestic":1101,"extension":1102,"faq":5680,"free":1101,"github":17,"languages":5693,"meta":5694,"models":17,"navigation":553,"notSuitable":17,"opensource":1101,"path":5695,"pillar":1109,"platforms":5696,"priceTable":5700,"pricing":5712,"published":4453,"relatedPlaybooks":5713,"relatedReviews":17,"score":5717,"self_host":1101,"seo":5718,"slug":1151,"sources":5719,"stem":5728,"suitable":17,"tagline":5729,"tags":5730,"updated":1141,"verdict":5736,"website":5643,"__hash__":5737},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi.md","腾讯元器",[5192,5193,5194],{"name":4066,"url":4436},{"name":657,"url":3847},{"name":3849,"url":3850},{"type":19,"value":5196,"toc":5666},[5197,5199,5202,5205,5207,5281,5283,5303,5308,5312,5316,5342,5346,5372,5376,5399,5401,5533,5535,5590,5592,5618,5620,5634,5636],[22,5198,25],{"id":24},[34,5200,5201],{},"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。",[34,5203,5204],{},"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）。",[22,5206,3866],{"id":3866},[222,5208,5209,5215,5221,5227,5233,5239,5245,5251,5257,5263,5269,5275],{},[160,5210,5211,5214],{},[37,5212,5213],{},"公众号一键授权","：扫码绑定 → 历史文章变知识库",[160,5216,5217,5220],{},[37,5218,5219],{},"零代码创建","：自然语言描述 → 智能体 + 工作流",[160,5222,5223,5226],{},[37,5224,5225],{},"混元 + DeepSeek 双底座","：选模型 + 备案合规",[160,5228,5229,5232],{},[37,5230,5231],{},"知识库 RAG","：文章 \u002F PDF \u002F 网页 \u002F 自定义文本",[160,5234,5235,5238],{},[37,5236,5237],{},"工作流引擎","：可视化编排多步执行",[160,5240,5241,5244],{},[37,5242,5243],{},"多 Agent 协作","：子 agent 调子 agent 完成复杂任务",[160,5246,5247,5250],{},[37,5248,5249],{},"插件广场","：搜索 \u002F 天气 \u002F 翻译 \u002F 图片生成等",[160,5252,5253,5256],{},[37,5254,5255],{},"智能体广场 \u002F 模板","：clone 业内成熟智能体",[160,5258,5259,5262],{},[37,5260,5261],{},"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",[160,5264,5265,5268],{},[37,5266,5267],{},"微信支付 MCP","：智能体可直接发起支付闭环",[160,5270,5271,5274],{},[37,5272,5273],{},"企业级解决方案","：私有部署 + SSO + 定制",[160,5276,5277,5280],{},[37,5278,5279],{},"小助手 \u002F 客服助手 \u002F IP 分身 \u002F 角色陪聊","等内置场景",[22,5282,267],{"id":267},[222,5284,5285,5291,5297],{},[160,5286,5287,5290],{},[37,5288,5289],{},"免费创建","：¥0；创建智能体 + 公众号绑定 + 知识库 + 工作流",[160,5292,5293,5296],{},[37,5294,5295],{},"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",[160,5298,5299,5302],{},[37,5300,5301],{},"企业级方案","：联系商务；私有部署 + SSO + 定制 + SLA",[55,5304,5305],{},[34,5306,5307],{},"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。",[22,5309,5311],{"id":5310},"实测公众号自媒体-政企客服","实测（公众号自媒体 + 政企客服）",[34,5313,5314],{},[37,5315,3981],{},[222,5317,5318,5321,5324,5327,5330,5333,5336,5339],{},[160,5319,5320],{},"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",[160,5322,5323],{},"混元 + DeepSeek 中文效果好 + 国内备案合规",[160,5325,5326],{},"微信生态全链路：粉丝问 → 智能体答 → 推荐产品 → 微信支付 闭环",[160,5328,5329],{},"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",[160,5331,5332],{},"政务 \u002F 央企（钦州政务 \u002F 中国石化『小石头』）有正式落地",[160,5334,5335],{},"多 Agent 协作架构让复杂业务场景可拆分",[160,5337,5338],{},"零代码运营人员可独立完成，不依赖技术",[160,5340,5341],{},"智能体模板让冷启动快 10x",[34,5343,5344],{},[37,5345,4012],{},[222,5347,5348,5351,5354,5357,5360,5363,5366,5369],{},[160,5349,5350],{},"新旧版双底层，旧版用户迁移有摩擦",[160,5352,5353],{},"海外用户访问受限，跨海外业务用不上",[160,5355,5356],{},"工作流编排能力不如 Dify \u002F Coze 强（少高级控制流）",[160,5358,5359],{},"多 Agent 编排 UI 学习曲线",[160,5361,5362],{},"知识库切片粒度自定义有限",[160,5364,5365],{},"国产模型 reasoning 能力比 GPT-5 \u002F Claude 仍有差距",[160,5367,5368],{},"自托管 \u002F 数据私有化不可行（除非企业版私有部署）",[160,5370,5371],{},"海外大模型接入限制（混元 \u002F DeepSeek 为主）",[22,5373,5375],{"id":5374},"上手公众号博主-5-分钟","上手（公众号博主 5 分钟）",[157,5377,5378,5381,5384,5387,5390,5393,5396],{},[160,5379,5380],{},"yuanqi.tencent.com → 微信扫码登录",[160,5382,5383],{},"新建智能体 → 名字 + 头像 + 描述",[160,5385,5386],{},"知识库 → 绑定公众号 → 扫码授权 → 等历史文章入库（几分钟）",[160,5388,5389],{},"角色设定 → 例：『你是 X 公众号官方助手，基于知识库回答问题』",[160,5391,5392],{},"测试对话 → 验证答案命中文章",[160,5394,5395],{},"发布 → 选择渠道（公众号菜单 \u002F 客服）",[160,5397,5398],{},"粉丝在公众号点击菜单 → 进入 AI 对话",[22,5400,4125],{"id":4125},[72,5402,5403,5418],{},[75,5404,5405],{},[78,5406,5407,5409,5411,5413,5415],{},[81,5408,641],{},[81,5410,1704],{},[81,5412,52],{},[81,5414,11],{},[81,5416,5417],{},"文心智能体",[91,5419,5420,5432,5446,5462,5476,5489,5506,5519],{},[78,5421,5422,5424,5426,5428,5430],{},[96,5423,5213],{},[96,5425,4197],{},[96,5427,670],{},[96,5429,670],{},[96,5431,4214],{},[78,5433,5434,5437,5440,5442,5444],{},[96,5435,5436],{},"微信支付闭环",[96,5438,5439],{},"✅ MCP",[96,5441,670],{},[96,5443,670],{},[96,5445,670],{},[78,5447,5448,5451,5454,5457,5459],{},[96,5449,5450],{},"多渠道发布",[96,5452,5453],{},"微信生态",[96,5455,5456],{},"多平台 + 海外",[96,5458,450],{},[96,5460,5461],{},"百度生态",[78,5463,5464,5467,5469,5472,5474],{},[96,5465,5466],{},"海外可用",[96,5468,670],{},[96,5470,5471],{},"✅ Coze.com",[96,5473,667],{},[96,5475,670],{},[78,5477,5478,5480,5483,5485,5487],{},[96,5479,450],{},[96,5481,5482],{},"❌（企业版才有）",[96,5484,670],{},[96,5486,3406],{},[96,5488,670],{},[78,5490,5491,5494,5497,5500,5503],{},[96,5492,5493],{},"LLM 底座",[96,5495,5496],{},"混元 + DeepSeek",[96,5498,5499],{},"多家",[96,5501,5502],{},"多家 + 自托管",[96,5504,5505],{},"文心一言",[78,5507,5508,5510,5513,5515,5517],{},[96,5509,3452],{},[96,5511,5512],{},"✅ 基础",[96,5514,4197],{},[96,5516,4197],{},[96,5518,667],{},[78,5520,5521,5523,5526,5528,5531],{},[96,5522,4254],{},[96,5524,5525],{},"公众号 + 国内",[96,5527,5456],{},[96,5529,5530],{},"自托管 + 企业",[96,5532,5461],{},[22,5534,4269],{"id":4269},[222,5536,5537,5543,5549,5555,5561,5566,5572,5578,5584],{},[160,5538,5539,5542],{},[37,5540,5541],{},"新版优先","：旧版功能停止演进，新建议直接新版",[160,5544,5545,5548],{},[37,5546,5547],{},"公众号文章质量","：知识库 = 文章质量，垃圾文章入库 = 垃圾回答",[160,5550,5551,5554],{},[37,5552,5553],{},"测试对话","：发布前测 20 个常见问题，验证答案准确",[160,5556,5557,5560],{},[37,5558,5559],{},"兜底回复","：知识库命中失败要有兜底引导（『请联系人工』）",[160,5562,5563,5565],{},[37,5564,5436],{},"：用户体验要清晰，支付链路要可中断",[160,5567,5568,5571],{},[37,5569,5570],{},"token 预算","：开通调用前看模型计价 + 设上限",[160,5573,5574,5577],{},[37,5575,5576],{},"海外用户","：访问可能不稳，业务覆盖海外要走 Coze",[160,5579,5580,5583],{},[37,5581,5582],{},"政务 \u002F 央企合规","：用企业版私有部署 + 备案",[160,5585,5586,5589],{},[37,5587,5588],{},"多 Agent 不要过度","：复杂业务先单 agent 跑通，再拆分",[22,5591,910],{"id":909},[222,5593,5594,5597,5600,5603,5606,5609,5612,5615],{},[160,5595,5596],{},"✅ 微信公众号博主 \u002F 国内自媒体",[160,5598,5599],{},"✅ 政企客服 \u002F 政务 \u002F 民生场景",[160,5601,5602],{},"✅ 电商品牌 + 微信支付闭环",[160,5604,5605],{},"✅ 零代码运营 + 非技术团队",[160,5607,5608],{},"❌ 海外用户 \u002F 跨平台分发",[160,5610,5611],{},"❌ 自托管 \u002F 数据零云",[160,5613,5614],{},"❌ 纯通用 reasoning \u002F 学术 agent",[160,5616,5617],{},"❌ 深度工程化 + API-first",[22,5619,968],{"id":968},[222,5621,5622,5626,5630],{},[160,5623,5624],{},[49,5625,5076],{"href":4436},[160,5627,5628],{},[49,5629,4361],{"href":3847},[160,5631,5632],{},[49,5633,4366],{"href":3850},[22,5635,1033],{"id":1033},[157,5637,5638,5645,5652,5659],{},[160,5639,5640,5641],{},"腾讯元器官网 ",[49,5642,5643],{"href":5643,"rel":5644},"https:\u002F\u002Fyuanqi.tencent.com",[179],[160,5646,5647,5648],{},"腾讯元器帮助中心 - 平台介绍 + 升级说明 ",[49,5649,5650],{"href":5650,"rel":5651},"https:\u002F\u002Fyuanqi.tencent.com\u002Fguide\u002Fyuanqi-introduction",[179],[160,5653,5654,5655],{},"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）",[49,5656,5657],{"href":5657,"rel":5658},"https:\u002F\u002Fyuanqi.tencent.com\u002Fagent-center\u002Findex",[179],[160,5660,5661,5662],{},"AGI 空间站 — 腾讯混元 + 元器生态 ",[49,5663,5664],{"href":5664,"rel":5665},"https:\u002F\u002Fdocs.feishu.cn\u002Fv\u002Fwiki\u002FJc1TwOaAni879pksMgmcqgUNnof\u002Fa3",[179],{"title":342,"searchDepth":374,"depth":374,"links":5667},[5668,5669,5670,5671,5672,5673,5674,5675,5676,5677],{"id":24,"depth":364,"text":25},{"id":3866,"depth":364,"text":3866},{"id":267,"depth":364,"text":267},{"id":5310,"depth":364,"text":5311},{"id":5374,"depth":364,"text":5375},{"id":4125,"depth":364,"text":4125},{"id":4269,"depth":364,"text":4269},{"id":909,"depth":364,"text":910},{"id":968,"depth":364,"text":968},{"id":1033,"depth":364,"text":1033},"\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。",[5681,5684,5687,5690],{"q":5682,"a":5683},"和扣子 Coze \u002F Dify 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