[{"data":1,"prerenderedAt":5369},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fplatform\u002Fyuanqi":9,"tool-stats-agent\u002Fplatform\u002Fyuanqi":627,"cat-rank-agent-platform":630,"tool-related-agent\u002Fplatform\u002Fyuanqi":5368},{"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":552,"chinese_friendly":553,"cover":554,"description":555,"domestic":556,"extension":557,"faq":558,"free":556,"github":22,"languages":571,"meta":574,"models":22,"navigation":575,"notSuitable":22,"opensource":556,"path":576,"pillar":577,"platforms":578,"priceTable":583,"pricing":596,"published":597,"relatedPlaybooks":598,"relatedReviews":22,"score":602,"self_host":556,"seo":604,"slug":605,"sources":606,"stem":616,"suitable":22,"tagline":617,"tags":618,"updated":609,"verdict":625,"website":513,"__hash__":626},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi.md","腾讯元器",[13,16,19],{"name":14,"url":15},"langflow","\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",{"name":17,"url":18},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":20,"url":21},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",null,{"type":24,"value":25,"toc":537},"minimark",[26,31,35,38,41,118,121,141,147,151,156,182,187,213,217,241,244,394,397,452,456,482,485,503,506],[27,28,30],"h2",{"id":29},"tldr","TL;DR",[32,33,34],"p",{},"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。",[32,36,37],{},"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）。",[27,39,40],{"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",{},"公众号一键授权","：扫码绑定 → 历史文章变知识库",[45,53,54,57],{},[48,55,56],{},"零代码创建","：自然语言描述 → 智能体 + 工作流",[45,59,60,63],{},[48,61,62],{},"混元 + DeepSeek 双底座","：选模型 + 备案合规",[45,65,66,69],{},[48,67,68],{},"知识库 RAG","：文章 \u002F PDF \u002F 网页 \u002F 自定义文本",[45,71,72,75],{},[48,73,74],{},"工作流引擎","：可视化编排多步执行",[45,77,78,81],{},[48,79,80],{},"多 Agent 协作","：子 agent 调子 agent 完成复杂任务",[45,83,84,87],{},[48,85,86],{},"插件广场","：搜索 \u002F 天气 \u002F 翻译 \u002F 图片生成等",[45,89,90,93],{},[48,91,92],{},"智能体广场 \u002F 模板","：clone 业内成熟智能体",[45,95,96,99],{},[48,97,98],{},"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",[45,101,102,105],{},[48,103,104],{},"微信支付 MCP","：智能体可直接发起支付闭环",[45,107,108,111],{},[48,109,110],{},"企业级解决方案","：私有部署 + SSO + 定制",[45,113,114,117],{},[48,115,116],{},"小助手 \u002F 客服助手 \u002F IP 分身 \u002F 角色陪聊","等内置场景",[27,119,120],{"id":120},"价格",[42,122,123,129,135],{},[45,124,125,128],{},[48,126,127],{},"免费创建","：¥0；创建智能体 + 公众号绑定 + 知识库 + 工作流",[45,130,131,134],{},[48,132,133],{},"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",[45,136,137,140],{},[48,138,139],{},"企业级方案","：联系商务；私有部署 + SSO + 定制 + SLA",[142,143,144],"blockquote",{},[32,145,146],{},"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。",[27,148,150],{"id":149},"实测公众号自媒体-政企客服","实测（公众号自媒体 + 政企客服）",[32,152,153],{},[48,154,155],{},"亮点：",[42,157,158,161,164,167,170,173,176,179],{},[45,159,160],{},"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",[45,162,163],{},"混元 + DeepSeek 中文效果好 + 国内备案合规",[45,165,166],{},"微信生态全链路：粉丝问 → 智能体答 → 推荐产品 → 微信支付 闭环",[45,168,169],{},"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",[45,171,172],{},"政务 \u002F 央企（钦州政务 \u002F 中国石化『小石头』）有正式落地",[45,174,175],{},"多 Agent 协作架构让复杂业务场景可拆分",[45,177,178],{},"零代码运营人员可独立完成，不依赖技术",[45,180,181],{},"智能体模板让冷启动快 10x",[32,183,184],{},[48,185,186],{},"踩坑：",[42,188,189,192,195,198,201,204,207,210],{},[45,190,191],{},"新旧版双底层，旧版用户迁移有摩擦",[45,193,194],{},"海外用户访问受限，跨海外业务用不上",[45,196,197],{},"工作流编排能力不如 Dify \u002F Coze 强（少高级控制流）",[45,199,200],{},"多 Agent 编排 UI 学习曲线",[45,202,203],{},"知识库切片粒度自定义有限",[45,205,206],{},"国产模型 reasoning 能力比 GPT-5 \u002F Claude 仍有差距",[45,208,209],{},"自托管 \u002F 数据私有化不可行（除非企业版私有部署）",[45,211,212],{},"海外大模型接入限制（混元 \u002F DeepSeek 为主）",[27,214,216],{"id":215},"上手公众号博主-5-分钟","上手（公众号博主 5 分钟）",[218,219,220,223,226,229,232,235,238],"ol",{},[45,221,222],{},"yuanqi.tencent.com → 微信扫码登录",[45,224,225],{},"新建智能体 → 名字 + 头像 + 描述",[45,227,228],{},"知识库 → 绑定公众号 → 扫码授权 → 等历史文章入库（几分钟）",[45,230,231],{},"角色设定 → 例：『你是 X 公众号官方助手，基于知识库回答问题』",[45,233,234],{},"测试对话 → 验证答案命中文章",[45,236,237],{},"发布 → 选择渠道（公众号菜单 \u002F 客服）",[45,239,240],{},"粉丝在公众号点击菜单 → 进入 AI 对话",[27,242,243],{"id":243},"对比",[245,246,247,269],"table",{},[248,249,250],"thead",{},[251,252,253,257,260,263,266],"tr",{},[254,255,256],"th",{},"维度",[254,258,259],{},"元器",[254,261,262],{},"Coze",[254,264,265],{},"Dify",[254,267,268],{},"文心智能体",[270,271,272,288,302,319,334,348,365,379],"tbody",{},[251,273,274,277,280,283,285],{},[275,276,50],"td",{},[275,278,279],{},"✅ 旗舰",[275,281,282],{},"❌",[275,284,282],{},[275,286,287],{},"部分",[251,289,290,293,296,298,300],{},[275,291,292],{},"微信支付闭环",[275,294,295],{},"✅ MCP",[275,297,282],{},[275,299,282],{},[275,301,282],{},[251,303,304,307,310,313,316],{},[275,305,306],{},"多渠道发布",[275,308,309],{},"微信生态",[275,311,312],{},"多平台 + 海外",[275,314,315],{},"自托管",[275,317,318],{},"百度生态",[251,320,321,324,326,329,332],{},[275,322,323],{},"海外可用",[275,325,282],{},[275,327,328],{},"✅ Coze.com",[275,330,331],{},"✅",[275,333,282],{},[251,335,336,338,341,343,346],{},[275,337,315],{},[275,339,340],{},"❌（企业版才有）",[275,342,282],{},[275,344,345],{},"✅ Apache 2.0",[275,347,282],{},[251,349,350,353,356,359,362],{},[275,351,352],{},"LLM 底座",[275,354,355],{},"混元 + DeepSeek",[275,357,358],{},"多家",[275,360,361],{},"多家 + 自托管",[275,363,364],{},"文心一言",[251,366,367,370,373,375,377],{},[275,368,369],{},"工作流",[275,371,372],{},"✅ 基础",[275,374,279],{},[275,376,279],{},[275,378,331],{},[251,380,381,384,387,389,392],{},[275,382,383],{},"适合",[275,385,386],{},"公众号 + 国内",[275,388,312],{},[275,390,391],{},"自托管 + 企业",[275,393,318],{},[27,395,396],{"id":396},"避坑",[42,398,399,405,411,417,423,428,434,440,446],{},[45,400,401,404],{},[48,402,403],{},"新版优先","：旧版功能停止演进，新建议直接新版",[45,406,407,410],{},[48,408,409],{},"公众号文章质量","：知识库 = 文章质量，垃圾文章入库 = 垃圾回答",[45,412,413,416],{},[48,414,415],{},"测试对话","：发布前测 20 个常见问题，验证答案准确",[45,418,419,422],{},[48,420,421],{},"兜底回复","：知识库命中失败要有兜底引导（『请联系人工』）",[45,424,425,427],{},[48,426,292],{},"：用户体验要清晰，支付链路要可中断",[45,429,430,433],{},[48,431,432],{},"token 预算","：开通调用前看模型计价 + 设上限",[45,435,436,439],{},[48,437,438],{},"海外用户","：访问可能不稳，业务覆盖海外要走 Coze",[45,441,442,445],{},[48,443,444],{},"政务 \u002F 央企合规","：用企业版私有部署 + 备案",[45,447,448,451],{},[48,449,450],{},"多 Agent 不要过度","：复杂业务先单 agent 跑通，再拆分",[27,453,455],{"id":454},"适合-不适合","适合 \u002F 不适合",[42,457,458,461,464,467,470,473,476,479],{},[45,459,460],{},"✅ 微信公众号博主 \u002F 国内自媒体",[45,462,463],{},"✅ 政企客服 \u002F 政务 \u002F 民生场景",[45,465,466],{},"✅ 电商品牌 + 微信支付闭环",[45,468,469],{},"✅ 零代码运营 + 非技术团队",[45,471,472],{},"❌ 海外用户 \u002F 跨平台分发",[45,474,475],{},"❌ 自托管 \u002F 数据零云",[45,477,478],{},"❌ 纯通用 reasoning \u002F 学术 agent",[45,480,481],{},"❌ 深度工程化 + API-first",[27,483,484],{"id":484},"相关阅读",[42,486,487,493,498],{},[45,488,489],{},[490,491,492],"a",{"href":15},"Langflow 评测",[45,494,495],{},[490,496,497],{"href":18},"n8n 评测",[45,499,500],{},[490,501,502],{"href":21},"Composio 评测",[27,504,505],{"id":505},"来源",[218,507,508,516,523,530],{},[45,509,510,511],{},"腾讯元器官网 ",[490,512,513],{"href":513,"rel":514},"https:\u002F\u002Fyuanqi.tencent.com",[515],"nofollow",[45,517,518,519],{},"腾讯元器帮助中心 - 平台介绍 + 升级说明 ",[490,520,521],{"href":521,"rel":522},"https:\u002F\u002Fyuanqi.tencent.com\u002Fguide\u002Fyuanqi-introduction",[515],[45,524,525,526],{},"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）",[490,527,528],{"href":528,"rel":529},"https:\u002F\u002Fyuanqi.tencent.com\u002Fagent-center\u002Findex",[515],[45,531,532,533],{},"AGI 空间站 — 腾讯混元 + 元器生态 ",[490,534,535],{"href":535,"rel":536},"https:\u002F\u002Fdocs.feishu.cn\u002Fv\u002Fwiki\u002FJc1TwOaAni879pksMgmcqgUNnof\u002Fa3",[515],{"title":538,"searchDepth":539,"depth":539,"links":540},"",3,[541,543,544,545,546,547,548,549,550,551],{"id":29,"depth":542,"text":30},2,{"id":40,"depth":542,"text":40},{"id":120,"depth":542,"text":120},{"id":149,"depth":542,"text":150},{"id":215,"depth":542,"text":216},{"id":243,"depth":542,"text":243},{"id":396,"depth":542,"text":396},{"id":454,"depth":542,"text":455},{"id":484,"depth":542,"text":484},{"id":505,"depth":542,"text":505},"platform",5,"\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。",false,"md",[559,562,565,568],{"q":560,"a":561},"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":563,"a":564},"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":566,"a":567},"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":569,"a":570},"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。",[572,573],"zh","en",{},true,"\u002Ftools\u002Fagent\u002Fplatform\u002Fyuanqi","agent",[579,580,581,582],"web","wechat-mp","wechat-work","wechat-pay",[584,588,592],{"plan":127,"price":585,"features":586,"notes":587},"¥0","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":133,"price":589,"features":590,"notes":591},"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":139,"price":593,"features":594,"notes":595},"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","2026-06-19",[599],{"name":600,"url":601},"公众号 7×24 AI 分身搭建","\u002Fplaybook\u002Fonboarding\u002Fwechat-mp-ai-agent",{"power":603,"ux":553,"price":553,"cn_support":553,"stability":603},4,{"title":11,"description":555},"agent\u002Fplatform\u002Fyuanqi",[607,610,612,614],{"name":608,"url":513,"accessed":609},"腾讯元器官网","2026-06-24",{"name":611,"url":521,"accessed":609},"腾讯元器帮助中心 - 平台介绍",{"name":613,"url":528,"accessed":609},"智能体广场",{"name":615,"url":535,"accessed":609},"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",[619,620,621,622,623,624],"agent-builder","wechat","low-code","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",{"ok":575,"slug":628,"viewCount":629,"clickCount":629,"avgRating":629,"ratingCount":629},"agent%2Fplatform%2Fyuanqi",0,[631,1536,2567,3641,4260,4969],{"id":632,"title":262,"alternatives":633,"api_compatible":636,"body":637,"category":552,"chinese_friendly":553,"cover":1468,"description":1469,"domestic":556,"extension":557,"faq":22,"free":556,"github":22,"languages":1470,"meta":1471,"models":1472,"navigation":575,"notSuitable":1478,"opensource":556,"path":1482,"pillar":577,"platforms":1483,"priceTable":1484,"pricing":1504,"published":1505,"relatedPlaybooks":22,"relatedReviews":22,"score":1506,"self_host":556,"seo":1507,"slug":1508,"sources":1509,"stem":1520,"suitable":1521,"tagline":1527,"tags":1528,"updated":609,"verdict":1534,"website":659,"__hash__":1535},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md",[634,635,605],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt",[],{"type":24,"value":638,"toc":1452},[639,641,682,687,690,695,698,712,721,771,780,784,787,819,827,831,834,854,858,938,948,951,954,974,983,987,1023,1026,1029,1172,1188,1218,1221,1295,1297,1300,1317,1320,1350,1352,1416,1418,1445],[27,640,30],{"id":29},[642,643,648,669],"div",{"className":644},[645,646,647],"card","p-5","my-4",[32,649,650,653,654,668],{},[48,651,652],{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[48,655,656,657,662,663],{},"国内版 ",[490,658,661],{"href":659,"rel":660},"https:\u002F\u002Fwww.coze.cn",[515],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[490,664,667],{"href":665,"rel":666},"https:\u002F\u002Fwww.coze.com",[515],"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。",[32,670,671,672,675,676,681],{},"最大价值是 ",[48,673,674],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[490,677,680],{"href":678,"rel":679},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[515],"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\"。",[142,683,684],{},[32,685,686],{},"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。",[27,688,689],{"id":689},"核心特性",[691,692,694],"h3",{"id":693},"可视化工作流最大卖点","可视化工作流（最大卖点）",[32,696,697],{},"Coze 把 Agent 拆成两层：",[42,699,700,706],{},[45,701,702,705],{},[48,703,704],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[45,707,708,711],{},[48,709,710],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[32,713,714,715,720],{},"工作流节点类型（基于 ",[490,716,719],{"href":717,"rel":718},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[515],"火山引擎社区 2025 实战","）：",[42,722,723,729,735,741,747,753,759,765],{},[45,724,725,728],{},[48,726,727],{},"开始 \u002F 结束节点","：输入输出",[45,730,731,734],{},[48,732,733],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[45,736,737,740],{},[48,738,739],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[45,742,743,746],{},[48,744,745],{},"循环节点","：批量处理多条数据",[45,748,749,752],{},[48,750,751],{},"条件节点","：分支判断",[45,754,755,758],{},[48,756,757],{},"插件节点","：调 Coze 插件市场的工具",[45,760,761,764],{},[48,762,763],{},"知识库节点","：RAG 检索",[45,766,767,770],{},[48,768,769],{},"HTTP 节点","：调外部 API",[32,772,773,774,779],{},"典型用例（参考 ",[490,775,778],{"href":776,"rel":777},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[515],"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。",[691,781,783],{"id":782},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[32,785,786],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[42,788,789,795,801,807,813],{},[45,790,791,794],{},[48,792,793],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[45,796,797,800],{},[48,798,799],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[45,802,803,806],{},[48,804,805],{},"联网搜索","：实时网页检索",[45,808,809,812],{},[48,810,811],{},"代码执行","：在线运行 Python",[45,814,815,818],{},[48,816,817],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[32,820,821,826],{},[490,822,825],{"href":823,"rel":824},"https:\u002F\u002Fkouziai.github.io\u002F",[515],"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。",[691,828,830],{"id":829},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[32,832,833],{},"发布渠道：",[42,835,836,839,842,845,848,851],{},[45,837,838],{},"飞书机器人（一键绑）",[45,840,841],{},"抖音 \u002F 头条号",[45,843,844],{},"微信小程序 \u002F 公众号（部分需企业认证）",[45,846,847],{},"自定义网页嵌入",[45,849,850],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[45,852,853],{},"Discord（国际版）",[691,855,857],{"id":856},"国内版-vs-国际版","国内版 vs 国际版",[245,859,860,872],{},[248,861,862],{},[251,863,864,866,869],{},[254,865,256],{},[254,867,868],{},"扣子（coze.cn）",[254,870,871],{},"Coze（coze.com）",[270,873,874,885,895,905,916,927],{},[251,875,876,879,882],{},[275,877,878],{},"主力模型",[275,880,881],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[275,883,884],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[251,886,887,890,893],{},[275,888,889],{},"飞书 \u002F 抖音 \u002F 微信集成",[275,891,892],{},"✅ 原生",[275,894,282],{},[251,896,897,900,903],{},[275,898,899],{},"Discord \u002F Slack 集成",[275,901,902],{},"⚠️ 有限",[275,904,892],{},[251,906,907,910,913],{},[275,908,909],{},"数据存储位置",[275,911,912],{},"国内",[275,914,915],{},"海外",[251,917,918,921,924],{},[275,919,920],{},"支付",[275,922,923],{},"微信 \u002F 支付宝",[275,925,926],{},"海外信用卡",[251,928,929,932,935],{},[275,930,931],{},"内容合规",[275,933,934],{},"严格审核",[275,936,937],{},"宽松",[32,939,940,943,944,947],{},[48,941,942],{},"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 ",[48,945,946],{},"不互通","。",[27,949,950],{"id":950},"价格与运行成本",[32,952,953],{},"国内版（扣子）：",[42,955,956,962,968],{},[45,957,958,961],{},[48,959,960],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[45,963,964,967],{},[48,965,966],{},"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",[45,969,970,973],{},[48,971,972],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[32,975,976,977,982],{},"国际版（coze.com）的定价模式据 ",[490,978,981],{"href":979,"rel":980},"https:\u002F\u002Fdocs.coze.com\u002F",[515],"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。",[27,984,986],{"id":985},"上手-10-分钟","上手 10 分钟",[218,988,989,1002,1005,1008,1011,1014,1017,1020],{},[45,990,991,992,996,997,1001],{},"打开 ",[490,993,995],{"href":659,"rel":994},[515],"www.coze.cn","（国内）或 ",[490,998,1000],{"href":665,"rel":999},[515],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[45,1003,1004],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[45,1006,1007],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[45,1009,1010],{},"写 Bot 角色 prompt",[45,1012,1013],{},"可选：上传 PDF \u002F 文档建知识库",[45,1015,1016],{},"测试一下对话效果",[45,1018,1019],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[45,1021,1022],{},"拿到调用 URL \u002F 飞书机器人 webhook",[32,1024,1025],{},"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。",[27,1027,1028],{"id":1028},"与同类怎么选",[245,1030,1031,1056],{},[248,1032,1033],{},[251,1034,1035,1037,1039,1044,1050],{},[254,1036,256],{},[254,1038,262],{},[254,1040,1041],{},[490,1042,265],{"href":1043},"\u002Fagent\u002Fplatform\u002Fdify.html",[254,1045,1046],{},[490,1047,1049],{"href":1048},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[254,1051,1052],{},[490,1053,1055],{"href":1054},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[270,1057,1058,1071,1086,1102,1118,1131,1145,1159],{},[251,1059,1060,1063,1065,1067,1069],{},[275,1061,1062],{},"开源",[275,1064,282],{},[275,1066,331],{},[275,1068,331],{},[275,1070,282],{},[251,1072,1073,1076,1079,1081,1083],{},[275,1074,1075],{},"私有部署",[275,1077,1078],{},"⚠️ 仅企业版",[275,1080,331],{},[275,1082,331],{},[275,1084,1085],{},"⚠️",[251,1087,1088,1091,1094,1097,1099],{},[275,1089,1090],{},"上手难度",[275,1092,1093],{},"★ 最简单",[275,1095,1096],{},"★★★",[275,1098,1096],{},[275,1100,1101],{},"★★",[251,1103,1104,1107,1110,1113,1116],{},[275,1105,1106],{},"工作流编排",[275,1108,1109],{},"★★★★☆",[275,1111,1112],{},"★★★★★",[275,1114,1115],{},"★★★☆☆",[275,1117,1115],{},[251,1119,1120,1123,1125,1127,1129],{},[275,1121,1122],{},"RAG 精度",[275,1124,1115],{},[275,1126,1109],{},[275,1128,1112],{},[275,1130,1115],{},[251,1132,1133,1136,1138,1140,1142],{},[275,1134,1135],{},"字节生态",[275,1137,1112],{},[275,1139,282],{},[275,1141,282],{},[275,1143,1144],{},"❌（腾讯系）",[251,1146,1147,1150,1153,1155,1157],{},[275,1148,1149],{},"插件市场",[275,1151,1152],{},"★★★★★ 200+",[275,1154,1115],{},[275,1156,1115],{},[275,1158,1115],{},[251,1160,1161,1164,1166,1168,1170],{},[275,1162,1163],{},"中文社区",[275,1165,1112],{},[275,1167,1109],{},[275,1169,1109],{},[275,1171,1109],{},[32,1173,1174,1177,1178,1183,1184,720],{},[48,1175,1176],{},"怎么选","（综合 ",[490,1179,1182],{"href":1180,"rel":1181},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[515],"BestHub 2025-07"," 和 ",[490,1185,1187],{"href":678,"rel":1186},[515],"博客园 2026-01",[42,1189,1190,1196,1204,1211],{},[45,1191,1192,1195],{},[48,1193,1194],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[45,1197,1198,1201,1202],{},[48,1199,1200],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[490,1203,265],{"href":1043},[45,1205,1206,1201,1209],{},[48,1207,1208],{},"核心场景就是企业知识库 QA",[490,1210,1049],{"href":1048},[45,1212,1213,1201,1216],{},[48,1214,1215],{},"QQ \u002F 微信生态 + 腾讯系",[490,1217,259],{"href":1054},[27,1219,1220],{"id":1220},"避坑清单",[42,1222,1223,1233,1239,1255,1265,1271,1283,1289],{},[45,1224,1225,1228,1229,1232],{},[48,1226,1227],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[48,1230,1231],{},"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",[45,1234,1235,1238],{},[48,1236,1237],{},"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",[45,1240,1241,1244,1245,1249,1250,1254],{},[48,1242,1243],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[1246,1247,1248],"code",{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[490,1251,1253],{"href":717,"rel":1252},[515],"火山引擎 2025 教程","）",[45,1256,1257,1260,1261,1264],{},[48,1258,1259],{},"工作流读取飞书表格默认 20 条","：要改 ",[1246,1262,1263],{},"page_size","，最大 500 条；超过 500 要分页或循环",[45,1266,1267,1270],{},[48,1268,1269],{},"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",[45,1272,1273,1276,1277,1279,1280,1282],{},[48,1274,1275],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[490,1278,265],{"href":1043}," \u002F ",[490,1281,1049],{"href":1048}," 自托管",[45,1284,1285,1288],{},[48,1286,1287],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[45,1290,1291,1294],{},[48,1292,1293],{},"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",[27,1296,455],{"id":454},[32,1298,1299],{},"✅ 适合：",[42,1301,1302,1305,1308,1311,1314],{},[45,1303,1304],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[45,1306,1307],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[45,1309,1310],{},"个人副业（小红书账号批量内容生成等）",[45,1312,1313],{},"中小企业客服 Bot（3 天上线）",[45,1315,1316],{},"想用豆包 \u002F DeepSeek 国产模型的人",[32,1318,1319],{},"❌ 不适合：",[42,1321,1322,1325,1328,1333,1340],{},[45,1323,1324],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[45,1326,1327],{},"复杂业务系统深度集成（自由度不够）",[45,1329,1330,1331,1254],{},"反感字节生态（去 ",[490,1332,265],{"href":1043},[45,1334,1335,1336,1279,1338,1254],{},"希望开源 \u002F 完全自主可控（去 ",[490,1337,265],{"href":1043},[490,1339,1049],{"href":1048},[45,1341,1342,1343,1279,1345,1349],{},"海外 toB SaaS 产品后端（",[490,1344,265],{"href":1043},[490,1346,1348],{"href":1347},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[27,1351,484],{"id":484},[42,1353,1354,1368,1386,1405],{},[45,1355,1356,1357,1279,1359,1279,1361,1279,1363,1279,1365],{},"同类对比：",[490,1358,265],{"href":1043},[490,1360,1049],{"href":1048},[490,1362,259],{"href":1054},[490,1364,1348],{"href":1347},[490,1366,17],{"href":1367},"\u002Fagent\u002Fplatform\u002Fn8n.html",[45,1369,1370,1371,1279,1375,1279,1379,1279,1383],{},"概念：",[490,1372,1374],{"href":1373},"\u002Fwiki\u002Fai-agent.html","AI Agent",[490,1376,1378],{"href":1377},"\u002Fwiki\u002Frag.html","RAG",[490,1380,1382],{"href":1381},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[490,1384,1385],{"href":1373},"Multi-Agent",[45,1387,1388,1389,1279,1393,1279,1397,1279,1401],{},"模型：",[490,1390,1392],{"href":1391},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[490,1394,1396],{"href":1395},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[490,1398,1400],{"href":1399},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[490,1402,1404],{"href":1403},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[45,1406,1407,1408,1279,1412],{},"进阶：",[490,1409,1411],{"href":1410},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[490,1413,1415],{"href":1414},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[27,1417,505],{"id":505},[42,1419,1420,1426,1432,1439,1442],{},[45,1421,1422,1423],{},"国内版：",[490,1424,659],{"href":659,"rel":1425},[515],[45,1427,1428,1429],{},"国际版：",[490,1430,665],{"href":665,"rel":1431},[515],[45,1433,1434,1435],{},"官方文档：",[490,1436,1437],{"href":1437,"rel":1438},"https:\u002F\u002Fdocs.coze.com",[515],[45,1440,1441],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[45,1443,1444],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[32,1446,1447,1448,1451],{},"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 ",[490,1449,1450],{"href":1450},"\u002Fsubmit"," 反馈。",{"title":538,"searchDepth":539,"depth":539,"links":1453},[1454,1455,1461,1462,1463,1464,1465,1466,1467],{"id":29,"depth":542,"text":30},{"id":689,"depth":542,"text":689,"children":1456},[1457,1458,1459,1460],{"id":693,"depth":539,"text":694},{"id":782,"depth":539,"text":783},{"id":829,"depth":539,"text":830},{"id":856,"depth":539,"text":857},{"id":950,"depth":542,"text":950},{"id":985,"depth":542,"text":986},{"id":1028,"depth":542,"text":1028},{"id":1220,"depth":542,"text":1220},{"id":454,"depth":542,"text":455},{"id":484,"depth":542,"text":484},{"id":505,"depth":542,"text":505},"\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。",[572,573],{},[1473,1474,1475,1476,1477],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[1479,1480,1481],"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",[579],[1485,1490,1495,1499],{"plan":1486,"price":585,"limit":1487,"cn_pay":1488,"note":1489},"免费版（扣子）","免费模型限额 + 基础功能","—","个人试水 \u002F 1-2 天 MVP",{"plan":966,"price":1491,"limit":1492,"cn_pay":1493,"note":1494},"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":972,"price":1496,"limit":1497,"cn_pay":331,"note":1498},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":1500,"price":1501,"cn_pay":1502,"note":1503,"limit":1488},"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":603,"ux":553,"price":603,"cn_support":553,"stability":603},{"title":262,"description":1469},"agent\u002Fplatform\u002Fcoze",[1510,1512,1514,1516,1518],{"title":1511,"url":659},"Coze 国内版（扣子）",{"title":1513,"url":665},"Coze 国际版",{"title":1515,"url":1437},"Coze 官方文档",{"title":1517,"url":678},"Coze vs Dify vs FastGPT 选型 2026",{"title":1519,"url":1180},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[1522,1523,1524,1525,1526],"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",[1529,621,1530,1531,1532,1533],"agent-platform","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":1537,"title":265,"alternatives":1538,"api_compatible":22,"body":1541,"category":552,"chinese_friendly":603,"cover":2532,"description":2533,"domestic":556,"extension":557,"faq":22,"free":556,"github":1824,"languages":2534,"meta":2536,"models":22,"navigation":575,"notSuitable":22,"opensource":575,"path":2537,"pillar":577,"platforms":2538,"priceTable":22,"pricing":2542,"published":1505,"relatedPlaybooks":22,"relatedReviews":22,"score":2543,"self_host":575,"seo":2544,"slug":634,"sources":2545,"stem":2557,"suitable":22,"tagline":2558,"tags":2559,"updated":609,"verdict":2565,"website":2477,"__hash__":2566},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[1508,635,1539,1540],"agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",{"type":24,"value":1542,"toc":2510},[1543,1545,1563,1568,1570,1574,1577,1646,1649,1653,1656,1670,1686,1690,1693,1704,1708,1716,1727,1731,1734,1736,1740,1749,1809,1816,1820,1828,1892,1895,1915,1919,1922,1981,1987,1989,2080,2083,2112,2114,2242,2254,2289,2291,2364,2366,2368,2388,2390,2419,2421,2468,2470,2501,2506],[27,1544,30],{"id":29},[642,1546,1548,1553],{"className":1547},[645,646,647],[32,1549,1550,1552],{},[48,1551,652],{}," 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。",[32,1554,671,1555,1558,1559,1562],{},[48,1556,1557],{},"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 ",[490,1560,262],{"href":1561},"\u002Fagent\u002Fplatform\u002Fcoze.html"," 折腾，新手得读 1-2 小时文档。",[142,1564,1565],{},[32,1566,1567],{},"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。",[27,1569,689],{"id":689},[691,1571,1573],{"id":1572},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[32,1575,1576],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[245,1578,1579,1592],{},[248,1580,1581],{},[251,1582,1583,1586,1589],{},[254,1584,1585],{},"类型",[254,1587,1588],{},"适合场景",[254,1590,1591],{},"编排范式",[270,1593,1594,1607,1620,1633],{},[251,1595,1596,1601,1604],{},[275,1597,1598],{},[48,1599,1600],{},"Chatbot",[275,1602,1603],{},"简单对话机器人",[275,1605,1606],{},"prompt + tools",[251,1608,1609,1614,1617],{},[275,1610,1611],{},[48,1612,1613],{},"Agent",[275,1615,1616],{},"自主多步任务",[275,1618,1619],{},"ReAct \u002F Function Calling",[251,1621,1622,1627,1630],{},[275,1623,1624],{},[48,1625,1626],{},"Chatflow",[275,1628,1629],{},"对话型工作流（多轮 + 分支）",[275,1631,1632],{},"节点 DAG，带聊天上下文",[251,1634,1635,1640,1643],{},[275,1636,1637],{},[48,1638,1639],{},"Workflow",[275,1641,1642],{},"单次输入→输出（API 模式）",[275,1644,1645],{},"节点 DAG，无对话状态",[32,1647,1648],{},"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\"。",[691,1650,1652],{"id":1651},"rag-知识库","RAG 知识库",[32,1654,1655],{},"内置完整 RAG 链路：",[218,1657,1658,1661,1664,1667],{},[45,1659,1660],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[45,1662,1663],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[45,1665,1666],{},"混合检索（向量 + 全文 + 重排）",[45,1668,1669],{},"引用溯源（回答末尾自动附原文片段）",[32,1671,1672,1673,1678,1679,1682,1683,1685],{},"注意：根据 ",[490,1674,1677],{"href":1675,"rel":1676},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[515],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[48,1680,1681],{},"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 ",[490,1684,1049],{"href":1048},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[691,1687,1689],{"id":1688},"模型生态40-提供商","模型生态：40+ 提供商",[32,1691,1692],{},"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。",[32,1694,1695,1696,1698,1699,1703],{},"国产模型原生支持（不像 ",[490,1697,1049],{"href":1048}," 需要 ",[490,1700,1702],{"href":1701},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[691,1705,1707],{"id":1706},"mcp-协议支持","MCP 协议支持",[32,1709,1710,1711,1715],{},"Dify 较早接入了 ",[490,1712,1714],{"href":1713},"\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：",[42,1717,1718,1721,1724],{},[45,1719,1720],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[45,1722,1723],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[45,1725,1726],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[691,1728,1730],{"id":1729},"api-first","API-first",[32,1732,1733],{},"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。",[27,1735,950],{"id":950},[691,1737,1739],{"id":1738},"云版difyai","云版（dify.ai）",[32,1741,1742,1743,1748],{},"根据 ",[490,1744,1747],{"href":1745,"rel":1746},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[515],"tooljunction.io 2026 评测"," 引用的官方定价：",[245,1750,1751,1763],{},[248,1752,1753],{},[251,1754,1755,1758,1760],{},[254,1756,1757],{},"套餐",[254,1759,120],{},[254,1761,1762],{},"主要限制",[270,1764,1765,1776,1787,1798],{},[251,1766,1767,1770,1773],{},[275,1768,1769],{},"Sandbox",[275,1771,1772],{},"免费",[275,1774,1775],{},"200 次模型调用，1 app，5MB 知识库",[251,1777,1778,1781,1784],{},[275,1779,1780],{},"Professional",[275,1782,1783],{},"$59\u002F月起",[275,1785,1786],{},"5000 调用\u002F月，多 app，50MB 知识库",[251,1788,1789,1792,1795],{},[275,1790,1791],{},"Team",[275,1793,1794],{},"$159\u002F月起",[275,1796,1797],{},"团队协作、SSO",[251,1799,1800,1803,1806],{},[275,1801,1802],{},"Enterprise",[275,1804,1805],{},"联系销售",[275,1807,1808],{},"定制 SLA、私有云",[32,1810,1811,1812,1815],{},"注意：云版价格只是 Dify 平台费，",[48,1813,1814],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[691,1817,1819],{"id":1818},"自托管推荐","自托管（推荐）",[32,1821,1822,1827],{},[490,1823,1826],{"href":1824,"rel":1825},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[515],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[1829,1830,1834],"pre",{"className":1831,"code":1832,"language":1833,"meta":538,"style":538},"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",[1246,1835,1836,1852,1861,1872,1886],{"__ignoreMap":538},[1837,1838,1841,1845,1849],"span",{"class":1839,"line":1840},"line",1,[1837,1842,1844],{"class":1843},"sScJk","git",[1837,1846,1848],{"class":1847},"sZZnC"," clone",[1837,1850,1851],{"class":1847}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[1837,1853,1854,1858],{"class":1839,"line":542},[1837,1855,1857],{"class":1856},"sj4cs","cd",[1837,1859,1860],{"class":1847}," dify\u002Fdocker\n",[1837,1862,1863,1866,1869],{"class":1839,"line":539},[1837,1864,1865],{"class":1843},"cp",[1837,1867,1868],{"class":1847}," .env.example",[1837,1870,1871],{"class":1847}," .env\n",[1837,1873,1874,1877,1880,1883],{"class":1839,"line":603},[1837,1875,1876],{"class":1843},"docker",[1837,1878,1879],{"class":1847}," compose",[1837,1881,1882],{"class":1847}," up",[1837,1884,1885],{"class":1856}," -d\n",[1837,1887,1888],{"class":1839,"line":553},[1837,1889,1891],{"class":1890},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[32,1893,1894],{},"硬件门槛（社区共识，非官方硬性要求）：",[42,1896,1897,1903,1909],{},[45,1898,1899,1902],{},[48,1900,1901],{},"最低","：2 核 4G，纯外接 API 模式",[45,1904,1905,1908],{},[48,1906,1907],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[45,1910,1911,1914],{},[48,1912,1913],{},"企业","：8 核 16G+，单机日活上千",[691,1916,1918],{"id":1917},"真实-tco","真实 TCO",[32,1920,1921],{},"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）：",[245,1923,1924,1936],{},[248,1925,1926],{},[251,1927,1928,1931,1934],{},[254,1929,1930],{},"成本项",[254,1932,1933],{},"云版 Professional",[254,1935,315],{},[270,1937,1938,1949,1959,1970],{},[251,1939,1940,1943,1946],{},[275,1941,1942],{},"平台费",[275,1944,1945],{},"~$2,100（3 年）",[275,1947,1948],{},"$0",[251,1950,1951,1954,1956],{},[275,1952,1953],{},"服务器",[275,1955,1948],{},[275,1957,1958],{},"~$50\u002F月 × 36 = $1,800",[251,1960,1961,1964,1967],{},[275,1962,1963],{},"模型 API",[275,1965,1966],{},"与下同",[275,1968,1969],{},"与上同",[251,1971,1972,1975,1978],{},[275,1973,1974],{},"运维人力",[275,1976,1977],{},"0",[275,1979,1980],{},"约 0.2 人月",[32,1982,1983,1986],{},[48,1984,1985],{},"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。",[27,1988,986],{"id":985},[1829,1990,1992],{"className":1831,"code":1991,"language":1833,"meta":538,"style":538},"# 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",[1246,1993,1994,1999,2007,2013,2021,2031,2037,2042,2047,2052,2057,2062,2068,2074],{"__ignoreMap":538},[1837,1995,1996],{"class":1839,"line":1840},[1837,1997,1998],{"class":1890},"# 1. 自托管（社区版）\n",[1837,2000,2001,2003,2005],{"class":1839,"line":542},[1837,2002,1844],{"class":1843},[1837,2004,1848],{"class":1847},[1837,2006,1851],{"class":1847},[1837,2008,2009,2011],{"class":1839,"line":539},[1837,2010,1857],{"class":1856},[1837,2012,1860],{"class":1847},[1837,2014,2015,2017,2019],{"class":1839,"line":603},[1837,2016,1865],{"class":1843},[1837,2018,1868],{"class":1847},[1837,2020,1871],{"class":1847},[1837,2022,2023,2025,2027,2029],{"class":1839,"line":553},[1837,2024,1876],{"class":1843},[1837,2026,1879],{"class":1847},[1837,2028,1882],{"class":1847},[1837,2030,1885],{"class":1856},[1837,2032,2034],{"class":1839,"line":2033},6,[1837,2035,2036],{"emptyLinePlaceholder":575},"\n",[1837,2038,2039],{"class":1839,"line":5},[1837,2040,2041],{"class":1890},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[1837,2043,2044],{"class":1839,"line":8},[1837,2045,2046],{"class":1890},"#    首次会让你创建 admin 账号\n",[1837,2048,2050],{"class":1839,"line":2049},9,[1837,2051,2036],{"emptyLinePlaceholder":575},[1837,2053,2054],{"class":1839,"line":7},[1837,2055,2056],{"class":1890},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[1837,2058,2060],{"class":1839,"line":2059},11,[1837,2061,2036],{"emptyLinePlaceholder":575},[1837,2063,2065],{"class":1839,"line":2064},12,[1837,2066,2067],{"class":1890},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[1837,2069,2071],{"class":1839,"line":2070},13,[1837,2072,2073],{"class":1890},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[1837,2075,2077],{"class":1839,"line":2076},14,[1837,2078,2079],{"class":1890},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[27,2081,2082],{"id":2082},"国内使用注意事项",[218,2084,2085,2091,2097,2103],{},[45,2086,2087,2090],{},[48,2088,2089],{},"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",[45,2092,2093,2096],{},[48,2094,2095],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[45,2098,2099,2102],{},[48,2100,2101],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[45,2104,2105,2108,2109,2111],{},[48,2106,2107],{},"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 ",[490,2110,262],{"href":1561}," 迁到 Dify",[27,2113,1028],{"id":1028},[245,2115,2116,2136],{},[248,2117,2118],{},[251,2119,2120,2122,2124,2128,2132],{},[254,2121,256],{},[254,2123,265],{},[254,2125,2126],{},[490,2127,262],{"href":1561},[254,2129,2130],{},[490,2131,1049],{"href":1048},[254,2133,2134],{},[490,2135,17],{"href":1367},[270,2137,2138,2151,2163,2176,2188,2201,2215,2228],{},[251,2139,2140,2142,2144,2146,2148],{},[275,2141,1062],{},[275,2143,331],{},[275,2145,282],{},[275,2147,331],{},[275,2149,2150],{},"✅（fair-code）",[251,2152,2153,2155,2157,2159,2161],{},[275,2154,1075],{},[275,2156,331],{},[275,2158,282],{},[275,2160,331],{},[275,2162,331],{},[251,2164,2165,2167,2169,2172,2174],{},[275,2166,1090],{},[275,2168,1115],{},[275,2170,2171],{},"★★☆☆☆ 最简单",[275,2173,1115],{},[275,2175,1109],{},[251,2177,2178,2180,2182,2184,2186],{},[275,2179,1106],{},[275,2181,1112],{},[275,2183,1109],{},[275,2185,1115],{},[275,2187,1112],{},[251,2189,2190,2192,2194,2196,2198],{},[275,2191,1122],{},[275,2193,1109],{},[275,2195,1115],{},[275,2197,1112],{},[275,2199,2200],{},"★★☆☆☆",[251,2202,2203,2206,2208,2210,2213],{},[275,2204,2205],{},"模型生态",[275,2207,1112],{},[275,2209,1109],{},[275,2211,2212],{},"★★★☆☆（OneAPI 中转）",[275,2214,1109],{},[251,2216,2217,2220,2222,2224,2226],{},[275,2218,2219],{},"中文场景",[275,2221,1109],{},[275,2223,1112],{},[275,2225,1109],{},[275,2227,1115],{},[251,2229,2230,2233,2235,2238,2240],{},[275,2231,2232],{},"字节生态绑定",[275,2234,282],{},[275,2236,2237],{},"✅（飞书\u002F抖音深度集成）",[275,2239,282],{},[275,2241,282],{},[32,2243,2244,2246,2247,1183,2250,2253],{},[48,2245,1176],{},"（基于 ",[490,2248,1182],{"href":1180,"rel":2249},[515],[490,2251,1187],{"href":678,"rel":2252},[515]," 两份选型指南综合）：",[42,2255,2256,2262,2269,2275,2282],{},[45,2257,2258,2261],{},[48,2259,2260],{},"数据必须不出内网 + 工作流复杂"," → Dify",[45,2263,2264,1201,2267],{},[48,2265,2266],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[490,2268,262],{"href":1561},[45,2270,2271,1201,2273],{},[48,2272,1208],{},[490,2274,1049],{"href":1048},[45,2276,2277,1201,2280],{},[48,2278,2279],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[490,2281,17],{"href":1367},[45,2283,2284,1201,2287],{},[48,2285,2286],{},"要画图式表达 LangChain pipeline",[490,2288,1348],{"href":1347},[27,2290,1220],{"id":1220},[42,2292,2293,2299,2316,2327,2340,2346,2352,2358],{},[45,2294,2295,2298],{},[48,2296,2297],{},"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。",[45,2300,2301,2307,2308,2311,2312,2315],{},[48,2302,2303,2306],{},[1246,2304,2305],{},".env"," 文件改完忘 restart","：",[1246,2309,2310],{},"docker compose down && up -d","，不是 ",[1246,2313,2314],{},"restart","——后者不重新加载 env。",[45,2317,2318,2307,2321,2326],{},[48,2319,2320],{},"大版本升级会破坏数据库 schema",[490,2322,2325],{"href":2323,"rel":2324},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[515],"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。",[45,2328,2329,2332,2333,2335,2336,2339],{},[48,2330,2331],{},"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 ",[1246,2334,2305],{}," 的 ",[1246,2337,2338],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[45,2341,2342,2345],{},[48,2343,2344],{},"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。",[45,2347,2348,2351],{},[48,2349,2350],{},"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。",[45,2353,2354,2357],{},[48,2355,2356],{},"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。",[45,2359,2360,2363],{},[48,2361,2362],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[27,2365,455],{"id":454},[32,2367,1299],{},[42,2369,2370,2373,2376,2379,2382,2385],{},[45,2371,2372],{},"中大型企业 LLM 中台建设",[45,2374,2375],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[45,2377,2378],{},"想做\"AI 工作流即产品\"的开发团队",[45,2380,2381],{},"同时需要 RAG + Agent + Workflow 三件套",[45,2383,2384],{},"想用国产模型 + 国际模型混合编排",[45,2386,2387],{},"已经接受 Docker + 一定运维投入",[32,2389,1319],{},[42,2391,2392,2398,2404,2407,2413],{},[45,2393,2394,2395,2397],{},"纯个人玩家做对话机器人（",[490,2396,262],{"href":1561}," 更快）",[45,2399,2400,2401,2403],{},"只想做企业知识库 QA（",[490,2402,1049],{"href":1048}," RAG 更专）",[45,2405,2406],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[45,2408,2409,2410,2412],{},"需要深度对接字节飞书 \u002F 抖音（",[490,2411,262],{"href":1561}," 原生）",[45,2414,2415,2416,2418],{},"工作流核心是连接 100+ SaaS（",[490,2417,17],{"href":1367}," 节点更全）",[27,2420,484],{"id":484},[42,2422,2423,2433,2445,2460],{},[45,2424,1356,2425,1279,2427,1279,2429,1279,2431],{},[490,2426,262],{"href":1561},[490,2428,1049],{"href":1048},[490,2430,17],{"href":1367},[490,2432,1348],{"href":1347},[45,2434,2435,2436,1279,2438,1279,2440,1279,2443],{},"概念基础：",[490,2437,1374],{"href":1373},[490,2439,1378],{"href":1377},[490,2441,2442],{"href":1713},"MCP",[490,2444,1382],{"href":1381},[45,2446,2447,2448,1279,2452,1279,2456,1279,2458],{},"模型选型：",[490,2449,2451],{"href":2450},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[490,2453,2455],{"href":2454},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[490,2457,1396],{"href":1395},[490,2459,1404],{"href":1403},[45,2461,1407,2462,1279,2466],{},[490,2463,2465],{"href":2464},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[490,2467,1415],{"href":1414},[27,2469,505],{"id":505},[42,2471,2472,2479,2485,2491,2498],{},[45,2473,2474,2475],{},"官网：",[490,2476,2477],{"href":2477,"rel":2478},"https:\u002F\u002Fdify.ai",[515],[45,2480,2481,2482],{},"中文文档：",[490,2483,2323],{"href":2323,"rel":2484},[515],[45,2486,2487,2488],{},"GitHub：",[490,2489,1824],{"href":1824,"rel":2490},[515],[45,2492,2493,2494],{},"官方定价：",[490,2495,2496],{"href":2496,"rel":2497},"https:\u002F\u002Fdify.ai\u002Fpricing",[515],[45,2499,2500],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[32,2502,2503,2504,1451],{},"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 ",[490,2505,1450],{"href":1450},[2507,2508,2509],"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":538,"searchDepth":539,"depth":539,"links":2511},[2512,2513,2520,2525,2526,2527,2528,2529,2530,2531],{"id":29,"depth":542,"text":30},{"id":689,"depth":542,"text":689,"children":2514},[2515,2516,2517,2518,2519],{"id":1572,"depth":539,"text":1573},{"id":1651,"depth":539,"text":1652},{"id":1688,"depth":539,"text":1689},{"id":1706,"depth":539,"text":1707},{"id":1729,"depth":539,"text":1730},{"id":950,"depth":542,"text":950,"children":2521},[2522,2523,2524],{"id":1738,"depth":539,"text":1739},{"id":1818,"depth":539,"text":1819},{"id":1917,"depth":539,"text":1918},{"id":985,"depth":542,"text":986},{"id":2082,"depth":542,"text":2082},{"id":1028,"depth":542,"text":1028},{"id":1220,"depth":542,"text":1220},{"id":454,"depth":542,"text":455},{"id":484,"depth":542,"text":484},{"id":505,"depth":542,"text":505},"\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。",[572,573,2535],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[2539,2540,2541,1876],"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":553,"ux":603,"price":553,"cn_support":603,"stability":603},{"title":265,"description":2533},[2546,2548,2550,2552,2554],{"title":2547,"url":2323},"Dify 官方文档（中文）",{"title":2549,"url":1824},"Dify GitHub",{"title":2551,"url":2496},"Dify 官方定价",{"title":2553,"url":1180},"Coze vs Dify vs FastGPT 选型",{"title":2555,"url":2556},"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",[1529,2560,2561,2562,1530,2563,2564],"opensource","self-host","rag","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":2568,"title":1049,"alternatives":2569,"api_compatible":2572,"body":2574,"category":552,"chinese_friendly":553,"cover":3577,"description":3578,"domestic":556,"extension":557,"faq":22,"free":556,"github":3540,"languages":3579,"meta":3580,"models":3581,"navigation":575,"notSuitable":3585,"opensource":575,"path":3589,"pillar":577,"platforms":3590,"priceTable":3591,"pricing":3613,"published":1505,"relatedPlaybooks":22,"relatedReviews":22,"score":3614,"self_host":575,"seo":3615,"slug":635,"sources":3616,"stem":3627,"suitable":3628,"tagline":3634,"tags":3635,"updated":609,"verdict":3639,"website":3534,"__hash__":3640},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md",[634,1508,2570,2571],"agent\u002Fplatform\u002Fragflow","agent\u002Fplatform\u002Fanythingllm",[2573],"openai",{"type":24,"value":2575,"toc":3559},[2576,2578,2607,2618,2620,2624,2627,2641,2644,2670,2674,2681,2713,2720,2724,2777,2784,2787,2790,2793,2800,2846,2852,2856,2887,2891,2997,3000,3003,3007,3015,3137,3152,3154,3309,3317,3351,3357,3359,3433,3435,3437,3457,3459,3477,3479,3526,3528,3551,3556],[27,2577,30],{"id":29},[642,2579,2581,2596],{"className":2580},[645,646,647],[32,2582,2583,2585,2586,2591,2592,2595],{},[48,2584,652],{}," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[490,2587,2590],{"href":2588,"rel":2589},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[515],"腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[48,2593,2594],{},"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。",[32,2597,2598,2599,2602,2603,2606],{},"最大价值在 ",[48,2600,2601],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[48,2604,2605],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[142,2608,2609],{},[32,2610,2611,2612,2617],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[490,2613,2616],{"href":2614,"rel":2615},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[515],"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。",[27,2619,689],{"id":689},[691,2621,2623],{"id":2622},"知识库管理核心能力","知识库管理（核心能力）",[32,2625,2626],{},"支持文件类型：",[42,2628,2629,2632,2635,2638],{},[45,2630,2631],{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[45,2633,2634],{},"表格：Excel \u002F CSV",[45,2636,2637],{},"网页：URL 抓取 + 定时同步",[45,2639,2640],{},"API：通过接口推送内容",[32,2642,2643],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[42,2645,2646,2652,2658,2664],{},[45,2647,2648,2651],{},[48,2649,2650],{},"文件夹分组","：不同主题 \u002F 部门分类",[45,2653,2654,2657],{},[48,2655,2656],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[45,2659,2660,2663],{},[48,2661,2662],{},"批量导入","：脚本化大批量同步",[45,2665,2666,2669],{},[48,2667,2668],{},"定时同步","：网页源自动更新",[691,2671,2673],{"id":2672},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[32,2675,2676,2680],{},[490,2677,2679],{"href":2614,"rel":2678},[515],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[218,2682,2683,2689,2695,2701,2707],{},[45,2684,2685,2688],{},[48,2686,2687],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[45,2690,2691,2694],{},[48,2692,2693],{},"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",[45,2696,2697,2700],{},[48,2698,2699],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[45,2702,2703,2706],{},[48,2704,2705],{},"上下文组装","：最优 chunk + 问题 → prompt",[45,2708,2709,2712],{},[48,2710,2711],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[32,2714,2715,2716,2719],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[48,2717,2718],{},"纯知识库 QA 精度","上更高的原因。",[691,2721,2723],{"id":2722},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[245,2725,2726,2736],{},[248,2727,2728],{},[251,2729,2730,2733],{},[254,2731,2732],{},"模型类别",[254,2734,2735],{},"支持",[270,2737,2738,2746,2753,2761,2769],{},[251,2739,2740,2743],{},[275,2741,2742],{},"国产闭源",[275,2744,2745],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[251,2747,2748,2750],{},[275,2749,1062],{},[275,2751,2752],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[251,2754,2755,2758],{},[275,2756,2757],{},"OpenAI 系",[275,2759,2760],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[251,2762,2763,2766],{},[275,2764,2765],{},"Claude 系",[275,2767,2768],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[251,2770,2771,2774],{},[275,2772,2773],{},"嵌入 \u002F 重排",[275,2775,2776],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[32,2778,2779,2780,2783],{},"可以在 ",[48,2781,2782],{},"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。",[691,2785,2786],{"id":2786},"工作流与高级编排",[32,2788,2789],{},"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。",[691,2791,2792],{"id":2792},"多向量库选择",[32,2794,2795,2799],{},[490,2796,2798],{"href":2588,"rel":2797},[515],"腾讯云教程"," 公开的 4 种向量后端：",[245,2801,2802,2812],{},[248,2803,2804],{},[251,2805,2806,2809],{},[254,2807,2808],{},"后端",[254,2810,2811],{},"适用",[270,2813,2814,2822,2830,2838],{},[251,2815,2816,2819],{},[275,2817,2818],{},"PgVector",[275,2820,2821],{},"5000 万索引以下，新手 \u002F 小规模",[251,2823,2824,2827],{},[275,2825,2826],{},"Milvus",[275,2828,2829],{},"亿级以上，高性能",[251,2831,2832,2835],{},[275,2833,2834],{},"Zilliz Cloud",[275,2836,2837],{},"Milvus 全托管 SaaS",[251,2839,2840,2843],{},[275,2841,2842],{},"SeekDB \u002F OceanBase",[275,2844,2845],{},"企业级国产化",[32,2847,2848,2849,947],{},"部署时选对应 ",[1246,2850,2851],{},"docker-compose.{pgvector|milvus|...}.yml",[691,2853,2855],{"id":2854},"api-与-mcp","API 与 MCP",[42,2857,2858,2864,2870,2881],{},[45,2859,2860,2863],{},[48,2861,2862],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[45,2865,2866,2869],{},[48,2867,2868],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[45,2871,2872,2875,2876,2880],{},[48,2873,2874],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[490,2877,2879],{"href":2878},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[45,2882,2883,2886],{},[48,2884,2885],{},"Webhook","：回调通知",[27,2888,2890],{"id":2889},"部署-10-分钟docker","部署 10 分钟（Docker）",[1829,2892,2894],{"className":1831,"code":2893,"language":1833,"meta":538,"style":538},"# 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",[1246,2895,2896,2901,2910,2917,2921,2926,2939,2943,2948,2955,2963,2967,2972,2987,2991],{"__ignoreMap":538},[1837,2897,2898],{"class":1839,"line":1840},[1837,2899,2900],{"class":1890},"# 克隆代码\n",[1837,2902,2903,2905,2907],{"class":1839,"line":542},[1837,2904,1844],{"class":1843},[1837,2906,1848],{"class":1847},[1837,2908,2909],{"class":1847}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[1837,2911,2912,2914],{"class":1839,"line":539},[1837,2913,1857],{"class":1856},[1837,2915,2916],{"class":1847}," FastGPT\n",[1837,2918,2919],{"class":1839,"line":603},[1837,2920,2036],{"emptyLinePlaceholder":575},[1837,2922,2923],{"class":1839,"line":553},[1837,2924,2925],{"class":1890},"# 切到最新稳定版（参考 GitHub releases）\n",[1837,2927,2928,2930,2933,2936],{"class":1839,"line":2033},[1837,2929,1844],{"class":1843},[1837,2931,2932],{"class":1847}," switch",[1837,2934,2935],{"class":1856}," -c",[1837,2937,2938],{"class":1856}," 4.14.7.2\n",[1837,2940,2941],{"class":1839,"line":5},[1837,2942,2036],{"emptyLinePlaceholder":575},[1837,2944,2945],{"class":1839,"line":8},[1837,2946,2947],{"class":1890},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[1837,2949,2950,2952],{"class":1839,"line":2049},[1837,2951,1857],{"class":1856},[1837,2953,2954],{"class":1847}," deploy\u002Fdocker\u002Fcn\n",[1837,2956,2957,2960],{"class":1839,"line":7},[1837,2958,2959],{"class":1843},"wget",[1837,2961,2962],{"class":1847}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[1837,2964,2965],{"class":1839,"line":2059},[1837,2966,2036],{"emptyLinePlaceholder":575},[1837,2968,2969],{"class":1839,"line":2064},[1837,2970,2971],{"class":1890},"# 启动\n",[1837,2973,2974,2977,2980,2983,2985],{"class":1839,"line":2070},[1837,2975,2976],{"class":1843},"docker-compose",[1837,2978,2979],{"class":1856}," -f",[1837,2981,2982],{"class":1847}," docker-compose.pg.yml",[1837,2984,1882],{"class":1847},[1837,2986,1885],{"class":1856},[1837,2988,2989],{"class":1839,"line":2076},[1837,2990,2036],{"emptyLinePlaceholder":575},[1837,2992,2994],{"class":1839,"line":2993},15,[1837,2995,2996],{"class":1890},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[32,2998,2999],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[32,3001,3002],{},"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。",[27,3004,3006],{"id":3005},"云版-vs-自托管对比","云版 vs 自托管对比",[32,3008,3009,3014],{},[490,3010,3013],{"href":3011,"rel":3012},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[515],"fastgpt.io 官方定价"," 公开数据：",[245,3016,3017,3042],{},[248,3018,3019],{},[251,3020,3021,3023,3025,3028,3031,3034,3036,3039],{},[254,3022,1757],{},[254,3024,120],{},[254,3026,3027],{},"AI 积分",[254,3029,3030],{},"知识库索引",[254,3032,3033],{},"团队",[254,3035,1613],{},[254,3037,3038],{},"知识库",[254,3040,3041],{},"QPM",[270,3043,3044,3068,3093,3117],{},[251,3045,3046,3048,3050,3053,3056,3059,3062,3065],{},[275,3047,1772],{},[275,3049,585],{},[275,3051,3052],{},"100",[275,3054,3055],{},"600",[275,3057,3058],{},"1",[275,3060,3061],{},"10",[275,3063,3064],{},"3",[275,3066,3067],{},"30",[251,3069,3070,3073,3076,3079,3082,3085,3088,3090],{},[275,3071,3072],{},"基础",[275,3074,3075],{},"¥99\u002F月",[275,3077,3078],{},"4000",[275,3080,3081],{},"6000",[275,3083,3084],{},"5",[275,3086,3087],{},"50",[275,3089,3067],{},[275,3091,3092],{},"300",[251,3094,3095,3098,3101,3104,3107,3109,3112,3114],{},[275,3096,3097],{},"高级",[275,3099,3100],{},"¥599\u002F月",[275,3102,3103],{},"25000",[275,3105,3106],{},"36000",[275,3108,3087],{},[275,3110,3111],{},"200",[275,3113,3052],{},[275,3115,3116],{},"1500",[251,3118,3119,3122,3124,3127,3129,3131,3133,3135],{},[275,3120,3121],{},"定制",[275,3123,1496],{},[275,3125,3126],{},"弹性",[275,3128,3126],{},[275,3130,3126],{},[275,3132,3126],{},[275,3134,3126],{},[275,3136,3126],{},[32,3138,3139,3142,3143,3146,3147,3151],{},[48,3140,3141],{},"云版适合","：不想运维、量小、要快速上线\n",[48,3144,3145],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[490,3148,3150],{"href":2614,"rel":3149},[515],"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\"",[27,3153,1028],{"id":1028},[245,3155,3156,3178],{},[248,3157,3158],{},[251,3159,3160,3162,3164,3168,3172,3175],{},[254,3161,256],{},[254,3163,1049],{},[254,3165,3166],{},[490,3167,265],{"href":1043},[254,3169,3170],{},[490,3171,262],{"href":1561},[254,3173,3174],{},"RAGFlow",[254,3176,3177],{},"AnythingLLM",[270,3179,3180,3200,3215,3230,3247,3261,3278,3293],{},[251,3181,3182,3185,3188,3191,3194,3197],{},[275,3183,3184],{},"核心定位",[275,3186,3187],{},"知识库 QA",[275,3189,3190],{},"综合 LLMOps",[275,3192,3193],{},"Bot + 工作流",[275,3195,3196],{},"文档解析+RAG",[275,3198,3199],{},"桌面级 KB",[251,3201,3202,3204,3206,3208,3210,3212],{},[275,3203,1062],{},[275,3205,345],{},[275,3207,345],{},[275,3209,282],{},[275,3211,345],{},[275,3213,3214],{},"✅ MIT",[251,3216,3217,3219,3222,3224,3226,3228],{},[275,3218,1075],{},[275,3220,3221],{},"★★★★★ docker",[275,3223,1112],{},[275,3225,1078],{},[275,3227,1109],{},[275,3229,1112],{},[251,3231,3232,3235,3238,3240,3242,3245],{},[275,3233,3234],{},"RAG 深度",[275,3236,3237],{},"★★★★★ 最细",[275,3239,1109],{},[275,3241,1115],{},[275,3243,3244],{},"★★★★★ 文档解析最强",[275,3246,1115],{},[251,3248,3249,3251,3253,3255,3257,3259],{},[275,3250,369],{},[275,3252,1109],{},[275,3254,1112],{},[275,3256,1109],{},[275,3258,1115],{},[275,3260,2200],{},[251,3262,3263,3266,3269,3271,3274,3276],{},[275,3264,3265],{},"上手",[275,3267,3268],{},"★★★☆☆ 需 docker",[275,3270,1109],{},[275,3272,3273],{},"★★★★★ 最简单",[275,3275,1115],{},[275,3277,1109],{},[251,3279,3280,3283,3285,3287,3289,3291],{},[275,3281,3282],{},"中文优化",[275,3284,1112],{},[275,3286,1109],{},[275,3288,1112],{},[275,3290,1109],{},[275,3292,1115],{},[251,3294,3295,3298,3301,3303,3305,3307],{},[275,3296,3297],{},"多平台发布",[275,3299,3300],{},"⚠️ API 为主",[275,3302,1109],{},[275,3304,1112],{},[275,3306,1085],{},[275,3308,1085],{},[32,3310,3311,1177,3313,720],{},[48,3312,1176],{},[490,3314,3316],{"href":2614,"rel":3315},[515],"南环 AI 评测",[42,3318,3319,3325,3332,3339,3345],{},[45,3320,3321,3324],{},[48,3322,3323],{},"核心需求是 RAG 精度"," → FastGPT",[45,3326,3327,1201,3330],{},[48,3328,3329],{},"需要丰富插件 + 复杂工作流 + 多平台发布",[490,3331,265],{"href":1043},[45,3333,3334,1201,3337],{},[48,3335,3336],{},"零代码、快速发布到飞书 \u002F 微信",[490,3338,262],{"href":1561},[45,3340,3341,3344],{},[48,3342,3343],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[45,3346,3347,3350],{},[48,3348,3349],{},"桌面 \u002F 单机使用"," → AnythingLLM",[32,3352,3353,3356],{},[48,3354,3355],{},"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。",[27,3358,1220],{"id":1220},[42,3360,3361,3374,3383,3389,3399,3411,3417,3423],{},[45,3362,3363,2307,3366,3369,3370,3373],{},[48,3364,3365],{},"docker-compose 镜像 tag 不一致",[490,3367,2798],{"href":2588,"rel":3368},[515]," 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 ",[1246,3371,3372],{},"image:"," 行为正确版本即可",[45,3375,3376,3379,3380,3382],{},[48,3377,3378],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[1246,3381,2976],{}," 的 ports 映射端口",[45,3384,3385,3388],{},[48,3386,3387],{},"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",[45,3390,3391,3394,3395,3398],{},[48,3392,3393],{},"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 ",[490,3396,3150],{"href":2614,"rel":3397},[515],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[45,3400,3401,2307,3404,3407,3408],{},[48,3402,3403],{},"MinIO 默认密码",[1246,3405,3406],{},"minioadmin\u002Fminioadmin","，",[48,3409,3410],{},"部署到公网前必须改",[45,3412,3413,3416],{},[48,3414,3415],{},"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\"",[45,3418,3419,3422],{},[48,3420,3421],{},"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",[45,3424,3425,3428,3429,1254],{},[48,3426,3427],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[490,3430,3432],{"href":3011,"rel":3431},[515],"fastgpt.io 定价 FAQ",[27,3434,455],{"id":454},[32,3436,1299],{},[42,3438,3439,3442,3445,3448,3451,3454],{},[45,3440,3441],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[45,3443,3444],{},"产品 FAQ \u002F 用户手册问答",[45,3446,3447],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[45,3449,3450],{},"数据严格不出网 + Apache 2.0 商用",[45,3452,3453],{},"有 docker 运维基础的技术团队",[45,3455,3456],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[32,3458,1319],{},[42,3460,3461,3466,3471,3474],{},[45,3462,3463,3464,1254],{},"完全非技术用户（去 ",[490,3465,262],{"href":1561},[45,3467,3468,3469,1254],{},"主要需求是工作流 + 插件集成（去 ",[490,3470,265],{"href":1043},[45,3472,3473],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[45,3475,3476],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[27,3478,484],{"id":484},[42,3480,3481,3490,3506,3520],{},[45,3482,1356,3483,1279,3485,3487,3488],{},[490,3484,265],{"href":1043},[490,3486,262],{"href":1561}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[490,3489,17],{"href":1367},[45,3491,1370,3492,1279,3494,1279,3498,1279,3501,1279,3504],{},[490,3493,1378],{"href":1377},[490,3495,3497],{"href":3496},"\u002Fwiki\u002Fembedding.html","Embedding",[490,3499,3500],{"href":3496},"Vector Database",[490,3502,3503],{"href":1377},"Reranker",[490,3505,1374],{"href":1373},[45,3507,1388,3508,1279,3510,1279,3512,1279,3514,1279,3518],{},[490,3509,1396],{"href":1395},[490,3511,1400],{"href":1399},[490,3513,1404],{"href":1403},[490,3515,3517],{"href":3516},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[490,3519,1392],{"href":1391},[45,3521,1407,3522,1279,3524],{},[490,3523,1415],{"href":1414},[490,3525,1411],{"href":1410},[27,3527,505],{"id":505},[42,3529,3530,3536,3542,3548],{},[45,3531,2474,3532],{},[490,3533,3534],{"href":3534,"rel":3535},"https:\u002F\u002Ffastgpt.io",[515],[45,3537,2487,3538],{},[490,3539,3540],{"href":3540,"rel":3541},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[515],[45,3543,3544,3545],{},"定价：",[490,3546,3011],{"href":3011,"rel":3547},[515],[45,3549,3550],{},"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",[32,3552,3553,3554,1451],{},"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 ",[490,3555,1450],{"href":1450},[2507,3557,3558],{},"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":538,"searchDepth":539,"depth":539,"links":3560},[3561,3562,3570,3571,3572,3573,3574,3575,3576],{"id":29,"depth":542,"text":30},{"id":689,"depth":542,"text":689,"children":3563},[3564,3565,3566,3567,3568,3569],{"id":2622,"depth":539,"text":2623},{"id":2672,"depth":539,"text":2673},{"id":2722,"depth":539,"text":2723},{"id":2786,"depth":539,"text":2786},{"id":2792,"depth":539,"text":2792},{"id":2854,"depth":539,"text":2855},{"id":2889,"depth":542,"text":2890},{"id":3005,"depth":542,"text":3006},{"id":1028,"depth":542,"text":1028},{"id":1220,"depth":542,"text":1220},{"id":454,"depth":542,"text":455},{"id":484,"depth":542,"text":484},{"id":505,"depth":542,"text":505},"\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。",[572,573],{},[1474,1475,1473,3582,3583,3584],"gpt-4o","claude-sonnet-4","kimi",[3586,3587,3588],"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",[2539,2540,2541],[3592,3596,3601,3605,3609],{"plan":3593,"price":1772,"limit":3594,"cn_pay":1488,"note":3595},"Self-host 开源","全功能 + 全数据本地","Apache 2.0 可商用",{"plan":3597,"price":3598,"limit":3599,"cn_pay":1488,"note":3600},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":3602,"price":3075,"limit":3603,"cn_pay":1493,"note":3604},"云基础版","4000 积分 + 6000 索引 + 50 Agent","中小团队 SaaS",{"plan":3606,"price":3100,"limit":3607,"cn_pay":331,"note":3608},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","企业级生产",{"plan":3610,"price":1496,"limit":3611,"cn_pay":331,"note":3612},"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":603,"ux":603,"price":553,"cn_support":553,"stability":603},{"title":1049,"description":3578},[3617,3619,3621,3623,3625],{"title":3618,"url":3534},"FastGPT 官网",{"title":3620,"url":3540},"FastGPT GitHub",{"title":3622,"url":3011},"FastGPT 定价页",{"title":3624,"url":2614},"FastGPT 2025 测评（南环 AI）",{"title":3626,"url":2588},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[3629,3630,3631,3632,3633],"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",[1529,2560,2561,2562,3636,3637,3638],"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":3642,"title":1348,"alternatives":3643,"api_compatible":22,"body":3649,"category":552,"chinese_friendly":539,"cover":4202,"description":4203,"domestic":556,"extension":557,"faq":4204,"free":556,"github":22,"languages":4217,"meta":4219,"models":22,"navigation":575,"notSuitable":22,"opensource":575,"path":15,"pillar":577,"platforms":4220,"priceTable":4222,"pricing":4235,"published":597,"relatedPlaybooks":4236,"relatedReviews":22,"score":4240,"self_host":575,"seo":4241,"slug":1540,"sources":4242,"stem":4252,"suitable":22,"tagline":4253,"tags":4254,"updated":609,"verdict":4258,"website":4245,"__hash__":4259},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow.md",[3644,3645,3646],{"name":17,"url":18},{"name":20,"url":21},{"name":3647,"url":3648},"openmanus","\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",{"type":24,"value":3650,"toc":4190},[3651,3653,3656,3659,3661,3735,3737,3762,3767,3771,3775,3801,3805,3831,3833,3888,3891,3914,3916,4054,4056,4111,4113,4139,4141,4156,4158,4188],[27,3652,30],{"id":29},[32,3654,3655],{},"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。",[32,3657,3658],{},"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）。",[27,3660,40],{"id":40},[42,3662,3663,3669,3675,3681,3687,3693,3699,3705,3711,3717,3723,3729],{},[45,3664,3665,3668],{},[48,3666,3667],{},"可视化 LangChain 画布","：节点 = primitive，连线 = 数据流",[45,3670,3671,3674],{},[48,3672,3673],{},"RAG pipeline 原生组件","：Chunking \u002F Embedding \u002F VectorStore \u002F Retriever",[45,3676,3677,3680],{},[48,3678,3679],{},"多 agent 工作流","：编排多 agent 协作",[45,3682,3683,3686],{},[48,3684,3685],{},"Python 下钻","：任意节点可写 custom Python",[45,3688,3689,3692],{},[48,3690,3691],{},"向量库适配","：Astra DB \u002F Pinecone \u002F pgvector \u002F Weaviate \u002F Chroma",[45,3694,3695,3698],{},[48,3696,3697],{},"API 部署","：流程一键导出为 REST API",[45,3700,3701,3704],{},[48,3702,3703],{},"Real-time collaboration","：多用户同 project",[45,3706,3707,3710],{},[48,3708,3709],{},"版本控制","：内置 versioning + revert",[45,3712,3713,3716],{},[48,3714,3715],{},"数据可视化","：node output \u002F data flow 可视化调试",[45,3718,3719,3722],{},[48,3720,3721],{},"角色权限","：user auth + RBAC",[45,3724,3725,3728],{},[48,3726,3727],{},"Docker \u002F pip 安装","：5 分钟启动",[45,3730,3731,3734],{},[48,3732,3733],{},"Astra-hosted cloud","：DataStax 托管选项",[27,3736,120],{"id":120},[42,3738,3739,3745,3751,3757],{},[45,3740,3741,3744],{},[48,3742,3743],{},"Self-Host (OSS)","：$0；MIT 完全免费，自付 LLM API + 服务器",[45,3746,3747,3750],{},[48,3748,3749],{},"Cloud Free","：$0；DataStax Astra-hosted 小流量",[45,3752,3753,3756],{},[48,3754,3755],{},"Cloud Paid","：~$25\u002F月起；Astra DB + 更高额度 + 团队协作",[45,3758,3759,3761],{},[48,3760,1802],{},"：联系销售；SSO + audit + 私有部署 + SLA",[142,3763,3764],{},[32,3765,3766],{},"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。",[27,3768,3770],{"id":3769},"实测rag-应用-内部工具搭建","实测（RAG 应用 + 内部工具搭建）",[32,3772,3773],{},[48,3774,155],{},[42,3776,3777,3780,3783,3786,3789,3792,3795,3798],{},[45,3778,3779],{},"画布直观，比纯写 LangChain 协作效率高 5x",[45,3781,3782],{},"节点下钻到 Python 让灵活度不被画布限制",[45,3784,3785],{},"Astra DB 集成省了配 vector store 时间",[45,3787,3788],{},"4.4\u002F5 用户评分（Propicked \u002F Tooliverse）",[45,3790,3791],{},"开源 + 自托管 + 数据驻留满足合规",[45,3793,3794],{},"多 agent 编排比裸 LangChain 调试容易",[45,3796,3797],{},"RAG pipeline 模板一键起 demo",[45,3799,3800],{},"与 DataStax 长期支持降低 abandon ware 风险",[32,3802,3803],{},[48,3804,186],{},[42,3806,3807,3810,3813,3816,3819,3822,3825,3828],{},[45,3808,3809],{},"稳定性偶发：复杂流大流量下 node 偶尔失联（SelectHub 反馈）",[45,3811,3812],{},"第三方 API 依赖：external API 失败时错误处理弱",[45,3814,3815],{},"production readiness 不算 mission-critical（要自加 observability）",[45,3817,3818],{},"LangChain 升级偶尔 break 旧 flow",[45,3820,3821],{},"文档对新组件滞后 1-2 月",[45,3823,3824],{},"中文 UI 不完整，业务侧用户上手陡",[45,3826,3827],{},"大型 flow（100+ 节点）画布卡顿",[45,3829,3830],{},"多人协作偶发同步冲突",[27,3832,3265],{"id":3265},[1829,3834,3836],{"className":1831,"code":3835,"language":1833,"meta":538,"style":538},"# 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",[1246,3837,3838,3843,3854,3864,3868,3873],{"__ignoreMap":538},[1837,3839,3840],{"class":1839,"line":1840},[1837,3841,3842],{"class":1890},"# pip 安装\n",[1837,3844,3845,3848,3851],{"class":1839,"line":542},[1837,3846,3847],{"class":1843},"pip",[1837,3849,3850],{"class":1847}," install",[1837,3852,3853],{"class":1847}," langflow\n",[1837,3855,3856,3858,3861],{"class":1839,"line":539},[1837,3857,14],{"class":1843},[1837,3859,3860],{"class":1847}," run",[1837,3862,3863],{"class":1890},"  # http:\u002F\u002Flocalhost:7860\n",[1837,3865,3866],{"class":1839,"line":603},[1837,3867,2036],{"emptyLinePlaceholder":575},[1837,3869,3870],{"class":1839,"line":553},[1837,3871,3872],{"class":1890},"# 或 Docker\n",[1837,3874,3875,3877,3879,3882,3885],{"class":1839,"line":2033},[1837,3876,1876],{"class":1843},[1837,3878,3860],{"class":1847},[1837,3880,3881],{"class":1856}," -p",[1837,3883,3884],{"class":1847}," 7860:7860",[1837,3886,3887],{"class":1847}," langflowai\u002Flangflow:latest\n",[32,3889,3890],{},"试 RAG 流：",[218,3892,3893,3896,3899,3902,3905,3908,3911],{},[45,3894,3895],{},"新建 flow → 选 Document QA 模板",[45,3897,3898],{},"Document Loader 节点 → 上传 PDF",[45,3900,3901],{},"Splitter → Embedder（OpenAI 或本地）",[45,3903,3904],{},"VectorStore（Astra \u002F Chroma）",[45,3906,3907],{},"Retriever + ChatOpenAI → Chat Output",[45,3909,3910],{},"部署为 API → 拿到 endpoint",[45,3912,3913],{},"复杂场景下钻节点写 Python 自定义",[27,3915,243],{"id":243},[245,3917,3918,3933],{},[248,3919,3920],{},[251,3921,3922,3924,3926,3928,3930],{},[254,3923,256],{},[254,3925,1348],{},[254,3927,265],{},[254,3929,17],{},[254,3931,3932],{},"Flowise",[270,3934,3935,3952,3966,3980,3993,4008,4021,4038],{},[251,3936,3937,3940,3943,3946,3949],{},[275,3938,3939],{},"中心",[275,3941,3942],{},"LangChain primitive",[275,3944,3945],{},"LLMOps 全平台",[275,3947,3948],{},"通用 workflow",[275,3950,3951],{},"LangChain（JS）",[251,3953,3954,3956,3958,3961,3964],{},[275,3955,1062],{},[275,3957,3214],{},[275,3959,3960],{},"✅ AGPL",[275,3962,3963],{},"✅ Sustainable",[275,3965,3214],{},[251,3967,3968,3970,3973,3976,3978],{},[275,3969,315],{},[275,3971,3972],{},"✅ pip\u002FDocker",[275,3974,3975],{},"✅ Docker",[275,3977,3975],{},[275,3979,331],{},[251,3981,3982,3985,3987,3989,3991],{},[275,3983,3984],{},"可视化",[275,3986,279],{},[275,3988,331],{},[275,3990,331],{},[275,3992,331],{},[251,3994,3995,3998,4001,4003,4006],{},[275,3996,3997],{},"代码下钻",[275,3999,4000],{},"✅ Python",[275,4002,287],{},[275,4004,4005],{},"✅ JS",[275,4007,4005],{},[251,4009,4010,4013,4015,4017,4019],{},[275,4011,4012],{},"RAG 内置",[275,4014,331],{},[275,4016,331],{},[275,4018,287],{},[275,4020,331],{},[251,4022,4023,4026,4029,4032,4035],{},[275,4024,4025],{},"起价（云）",[275,4027,4028],{},"$25\u002F月",[275,4030,4031],{},"$59\u002F月（Team）",[275,4033,4034],{},"自托管 $0",[275,4036,4037],{},"–",[251,4039,4040,4042,4045,4048,4051],{},[275,4041,383],{},[275,4043,4044],{},"工程 + LangChain",[275,4046,4047],{},"业务 + LLMOps",[275,4049,4050],{},"通用自动化",[275,4052,4053],{},"JS 生态",[27,4055,396],{"id":396},[42,4057,4058,4064,4070,4076,4082,4088,4094,4100,4105],{},[45,4059,4060,4063],{},[48,4061,4062],{},"自托管推荐 Docker","：pip 版本依赖冲突难调",[45,4065,4066,4069],{},[48,4067,4068],{},"生产加 observability","：langsmith \u002F sentry \u002F prometheus 必装",[45,4071,4072,4075],{},[48,4073,4074],{},"Astra DB cloud free","：起步够用，付费版起步前算清成本",[45,4077,4078,4081],{},[48,4079,4080],{},"复杂 flow 拆模块","：100+ 节点画布卡顿，拆成子 flow",[45,4083,4084,4087],{},[48,4085,4086],{},"LangChain 版本 pin","：Langflow 升级前测试 flow 兼容性",[45,4089,4090,4093],{},[48,4091,4092],{},"第三方 API 加重试","：custom Python 节点写 retry + fallback",[45,4095,4096,4099],{},[48,4097,4098],{},"多人协作 lock","：同时编辑 flow 容易冲突，加 lock 流程",[45,4101,4102,4104],{},[48,4103,2219],{},"：UI 英文为主，业务侧用户先培训",[45,4106,4107,4110],{},[48,4108,4109],{},"Self-host vs Cloud","：合规要 self-host，省心要 Cloud",[27,4112,455],{"id":454},[42,4114,4115,4118,4121,4124,4127,4130,4133,4136],{},[45,4116,4117],{},"✅ 工程团队要可视化建 LangChain 流",[45,4119,4120],{},"✅ 合规 \u002F 数据驻留要求自托管",[45,4122,4123],{},"✅ 要 Astra DB 一站式 RAG",[45,4125,4126],{},"✅ Python 团队 + 想画布 + 想下钻代码",[45,4128,4129],{},"❌ 业务侧 + 非工程师（用 Dify \u002F Coze）",[45,4131,4132],{},"❌ 纯无代码偏好",[45,4134,4135],{},"❌ 轻量场景 + 直接写 LangChain 更快",[45,4137,4138],{},"❌ JS 生态优先（用 Flowise）",[27,4140,484],{"id":484},[42,4142,4143,4147,4151],{},[45,4144,4145],{},[490,4146,497],{"href":18},[45,4148,4149],{},[490,4150,502],{"href":21},[45,4152,4153],{},[490,4154,4155],{"href":3648},"OpenManus 评测",[27,4157,505],{"id":505},[218,4159,4160,4167,4174,4181],{},[45,4161,4162,4163],{},"Langflow 官网 + 定价 ",[490,4164,4165],{"href":4165,"rel":4166},"https:\u002F\u002Fwww.langflow.org\u002Fpricing",[515],[45,4168,4169,4170],{},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison ",[490,4171,4172],{"href":4172,"rel":4173},"https:\u002F\u002Fautomationatlas.io\u002Ftools\u002Flangflow",[515],[45,4175,4176,4177],{},"xpay — LangFlow 2026 Visual AI Agent Builder（MIT + DataStax）",[490,4178,4179],{"href":4179,"rel":4180},"https:\u002F\u002Fwww.xpay.sh\u002Fresources\u002Fagentic-frameworks\u002Flangflow",[515],[45,4182,4183,4184],{},"SelectHub — LangFlow Reviews 2026（稳定性 + 生产 readiness）",[490,4185,4186],{"href":4186,"rel":4187},"https:\u002F\u002Fwww.selecthub.com\u002Fp\u002Fai-agent-builder-software\u002Flangflow\u002F",[515],[2507,4189,3558],{},{"title":538,"searchDepth":539,"depth":539,"links":4191},[4192,4193,4194,4195,4196,4197,4198,4199,4200,4201],{"id":29,"depth":542,"text":30},{"id":40,"depth":542,"text":40},{"id":120,"depth":542,"text":120},{"id":3769,"depth":542,"text":3770},{"id":3265,"depth":542,"text":3265},{"id":243,"depth":542,"text":243},{"id":396,"depth":542,"text":396},{"id":454,"depth":542,"text":455},{"id":484,"depth":542,"text":484},{"id":505,"depth":542,"text":505},"\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。",[4205,4208,4211,4214],{"q":4206,"a":4207},"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":4209,"a":4210},"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":4212,"a":4213},"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":4215,"a":4216},"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。",[573,4218],"multi",{},[2561,4221,1876,579],"cloud",[4223,4226,4228,4232],{"plan":3743,"price":1948,"features":4224,"notes":4225},"MIT + pip\u002FDocker + 全部组件 + Pinecone\u002Fpgvector\u002FAstra 适配","自付 LLM API + 服务器",{"plan":3749,"price":1948,"features":4227,"notes":3600},"DataStax 托管 + 小流量",{"plan":3755,"price":4229,"features":4230,"notes":4231},"~$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":1802,"price":1805,"features":4233,"notes":4234},"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）",[4237],{"name":4238,"url":4239},"RAG 应用搭建工作流","\u002Fplaybook\u002Fonboarding\u002Frag-app-workflow",{"power":603,"ux":553,"price":553,"cn_support":539,"stability":603},{"title":1348,"description":4203},[4243,4246,4248,4250],{"name":4244,"url":4245,"accessed":609},"Langflow 官网","https:\u002F\u002Fwww.langflow.org",{"name":4247,"url":4172,"accessed":609},"AutomationAtlas — Langflow $25\u002Fmo 2026 Comparison",{"name":4249,"url":4179,"accessed":609},"xpay — LangFlow 2026 Visual AI Agent Builder",{"name":4251,"url":4186,"accessed":609},"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",[2560,4255,4256,2562,4257,14],"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":4261,"title":17,"alternatives":4262,"api_compatible":22,"body":4266,"category":552,"chinese_friendly":539,"cover":4913,"description":4914,"domestic":556,"extension":557,"faq":4915,"free":556,"github":22,"languages":4928,"meta":4929,"models":22,"navigation":575,"notSuitable":22,"opensource":575,"path":18,"pillar":577,"platforms":4930,"priceTable":4931,"pricing":4947,"published":597,"relatedPlaybooks":4948,"relatedReviews":22,"score":4952,"self_host":575,"seo":4953,"slug":1539,"sources":4954,"stem":4963,"suitable":22,"tagline":4964,"tags":4965,"updated":609,"verdict":4967,"website":4875,"__hash__":4968},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[4263,4264,4265],{"name":14,"url":15},{"name":20,"url":21},{"name":3647,"url":3648},{"type":24,"value":4267,"toc":4901},[4268,4270,4273,4276,4278,4352,4354,4379,4384,4388,4392,4418,4422,4448,4452,4577,4580,4608,4611,4613,4759,4761,4822,4824,4850,4852,4866,4868,4898],[27,4269,30],{"id":29},[32,4271,4272],{},"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。",[32,4274,4275],{},"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）。",[27,4277,40],{"id":40},[42,4279,4280,4286,4292,4298,4304,4310,4316,4322,4328,4334,4340,4346],{},[45,4281,4282,4285],{},[48,4283,4284],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[45,4287,4288,4291],{},[48,4289,4290],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[45,4293,4294,4297],{},[48,4295,4296],{},"原生 MCP","：MCP server 一键挂载到 agent",[45,4299,4300,4303],{},[48,4301,4302],{},"Ollama 集成","：本地 LLM 零 API 成本",[45,4305,4306,4309],{},[48,4307,4308],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[45,4311,4312,4315],{},[48,4313,4314],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[45,4317,4318,4321],{},[48,4319,4320],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[45,4323,4324,4327],{},[48,4325,4326],{},"多分支并行 + 错误处理","：production workflow 必备",[45,4329,4330,4333],{},[48,4331,4332],{},"版本控制 + Git Sync","：workflow as code",[45,4335,4336,4339],{},[48,4337,4338],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[45,4341,4342,4345],{},[48,4343,4344],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[45,4347,4348,4351],{},[48,4349,4350],{},"5800+ 社区 workflow","：clone 即用",[27,4353,120],{"id":120},[42,4355,4356,4362,4368,4374],{},[45,4357,4358,4361],{},[48,4359,4360],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[45,4363,4364,4367],{},[48,4365,4366],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[45,4369,4370,4373],{},[48,4371,4372],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[45,4375,4376,4378],{},[48,4377,1802],{},"：联系销售；SSO + LDAP + 私有部署 + SLA",[142,4380,4381],{},[32,4382,4383],{},"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。",[27,4385,4387],{"id":4386},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[32,4389,4390],{},[48,4391,155],{},[42,4393,4394,4397,4400,4403,4406,4409,4412,4415],{},[45,4395,4396],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[45,4398,4399],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[45,4401,4402],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[45,4404,4405],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[45,4407,4408],{},"5800+ 社区 workflow 节省 80% 上手时间",[45,4410,4411],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[45,4413,4414],{},"升级 Docker tag 一行，无 vendor 升级费",[45,4416,4417],{},"中文社区 \u002F B 站教程丰富",[32,4419,4420],{},[48,4421,186],{},[42,4423,4424,4427,4430,4433,4436,4439,4442,4445],{},[45,4425,4426],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[45,4428,4429],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[45,4431,4432],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[45,4434,4435],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[45,4437,4438],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[45,4440,4441],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[45,4443,4444],{},"Webhook 公网暴露要加 IP 白名单 + secret",[45,4446,4447],{},"Worker 模式才能并发，单进程吞吐有限",[27,4449,4451],{"id":4450},"上手docker-5-分钟","上手（Docker 5 分钟）",[1829,4453,4455],{"className":1831,"code":4454,"language":1833,"meta":538,"style":538},"# 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",[1246,4456,4457,4462,4472,4476,4480,4492,4502,4512,4525,4534,4543,4553,4563,4568,4572],{"__ignoreMap":538},[1837,4458,4459],{"class":1839,"line":1840},[1837,4460,4461],{"class":1890},"# 持久化目录\n",[1837,4463,4464,4467,4469],{"class":1839,"line":542},[1837,4465,4466],{"class":1843},"mkdir",[1837,4468,3881],{"class":1856},[1837,4470,4471],{"class":1847}," ~\u002Fn8n-data\n",[1837,4473,4474],{"class":1839,"line":539},[1837,4475,2036],{"emptyLinePlaceholder":575},[1837,4477,4478],{"class":1839,"line":603},[1837,4479,2971],{"class":1890},[1837,4481,4482,4484,4486,4489],{"class":1839,"line":553},[1837,4483,1876],{"class":1843},[1837,4485,3860],{"class":1847},[1837,4487,4488],{"class":1856}," -d",[1837,4490,4491],{"class":1856}," \\\n",[1837,4493,4494,4497,4500],{"class":1839,"line":2033},[1837,4495,4496],{"class":1856},"  --name",[1837,4498,4499],{"class":1847}," n8n",[1837,4501,4491],{"class":1856},[1837,4503,4504,4507,4510],{"class":1839,"line":5},[1837,4505,4506],{"class":1856},"  -p",[1837,4508,4509],{"class":1847}," 5678:5678",[1837,4511,4491],{"class":1856},[1837,4513,4514,4517,4520,4523],{"class":1839,"line":8},[1837,4515,4516],{"class":1856},"  -e",[1837,4518,4519],{"class":1847}," N8N_BASIC_AUTH_ACTIVE=",[1837,4521,4522],{"class":1856},"true",[1837,4524,4491],{"class":1856},[1837,4526,4527,4529,4532],{"class":1839,"line":2049},[1837,4528,4516],{"class":1856},[1837,4530,4531],{"class":1847}," N8N_BASIC_AUTH_USER=admin",[1837,4533,4491],{"class":1856},[1837,4535,4536,4538,4541],{"class":1839,"line":7},[1837,4537,4516],{"class":1856},[1837,4539,4540],{"class":1847}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[1837,4542,4491],{"class":1856},[1837,4544,4545,4548,4551],{"class":1839,"line":2059},[1837,4546,4547],{"class":1856},"  -v",[1837,4549,4550],{"class":1847}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[1837,4552,4491],{"class":1856},[1837,4554,4555,4558,4561],{"class":1839,"line":2064},[1837,4556,4557],{"class":1856},"  --restart",[1837,4559,4560],{"class":1847}," always",[1837,4562,4491],{"class":1856},[1837,4564,4565],{"class":1839,"line":2070},[1837,4566,4567],{"class":1847},"  n8nio\u002Fn8n\n",[1837,4569,4570],{"class":1839,"line":2076},[1837,4571,2036],{"emptyLinePlaceholder":575},[1837,4573,4574],{"class":1839,"line":2993},[1837,4575,4576],{"class":1890},"# http:\u002F\u002Flocalhost:5678\n",[32,4578,4579],{},"连 Ollama：",[1829,4581,4583],{"className":1831,"code":4582,"language":1833,"meta":538,"style":538},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[1246,4584,4585,4593,4603],{"__ignoreMap":538},[1837,4586,4587,4590],{"class":1839,"line":1840},[1837,4588,4589],{"class":1843},"ollama",[1837,4591,4592],{"class":1847}," serve\n",[1837,4594,4595,4597,4600],{"class":1839,"line":542},[1837,4596,4589],{"class":1843},[1837,4598,4599],{"class":1847}," pull",[1837,4601,4602],{"class":1847}," llama3.2\n",[1837,4604,4605],{"class":1839,"line":539},[1837,4606,4607],{"class":1890},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[32,4609,4610],{},"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。",[27,4612,243],{"id":243},[245,4614,4615,4631],{},[248,4616,4617],{},[251,4618,4619,4621,4623,4626,4629],{},[254,4620,256],{},[254,4622,17],{},[254,4624,4625],{},"Zapier",[254,4627,4628],{},"Make",[254,4630,1348],{},[270,4632,4633,4646,4658,4675,4687,4701,4713,4727,4743],{},[251,4634,4635,4637,4640,4642,4644],{},[275,4636,1062],{},[275,4638,4639],{},"✅ fair-code",[275,4641,282],{},[275,4643,282],{},[275,4645,3214],{},[251,4647,4648,4650,4652,4654,4656],{},[275,4649,315],{},[275,4651,279],{},[275,4653,282],{},[275,4655,282],{},[275,4657,331],{},[251,4659,4660,4663,4666,4669,4672],{},[275,4661,4662],{},"集成数",[275,4664,4665],{},"400+",[275,4667,4668],{},"8000+",[275,4670,4671],{},"2000+",[275,4673,4674],{},"LangChain 原语",[251,4676,4677,4679,4681,4683,4685],{},[275,4678,1374],{},[275,4680,279],{},[275,4682,287],{},[275,4684,287],{},[275,4686,331],{},[251,4688,4689,4692,4695,4697,4699],{},[275,4690,4691],{},"LangChain 节点",[275,4693,4694],{},"✅ 70 个",[275,4696,282],{},[275,4698,282],{},[275,4700,892],{},[251,4702,4703,4705,4707,4709,4711],{},[275,4704,2442],{},[275,4706,892],{},[275,4708,282],{},[275,4710,282],{},[275,4712,287],{},[251,4714,4715,4718,4721,4723,4725],{},[275,4716,4717],{},"Local LLM",[275,4719,4720],{},"✅ Ollama",[275,4722,282],{},[275,4724,282],{},[275,4726,331],{},[251,4728,4729,4732,4735,4738,4741],{},[275,4730,4731],{},"起价",[275,4733,4734],{},"$0 自托管",[275,4736,4737],{},"$29.99\u002F月",[275,4739,4740],{},"$9\u002F月",[275,4742,4734],{},[251,4744,4745,4747,4750,4753,4756],{},[275,4746,383],{},[275,4748,4749],{},"开发者 + 高量级",[275,4751,4752],{},"非技术 + 简单",[275,4754,4755],{},"中等复杂",[275,4757,4758],{},"LangChain 工程",[27,4760,396],{"id":396},[42,4762,4763,4769,4775,4781,4787,4793,4799,4805,4811,4816],{},[45,4764,4765,4768],{},[48,4766,4767],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[45,4770,4771,4774],{},[48,4772,4773],{},"Worker 模式","：高并发要起 worker container 才能并行",[45,4776,4777,4780],{},[48,4778,4779],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[45,4782,4783,4786],{},[48,4784,4785],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[45,4788,4789,4792],{},[48,4790,4791],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[45,4794,4795,4798],{},[48,4796,4797],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[45,4800,4801,4804],{},[48,4802,4803],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[45,4806,4807,4810],{},[48,4808,4809],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[45,4812,4813,4815],{},[48,4814,4350],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[45,4817,4818,4821],{},[48,4819,4820],{},"monitoring","：生产部署加 prometheus + 错误告警",[27,4823,455],{"id":454},[42,4825,4826,4829,4832,4835,4838,4841,4844,4847],{},[45,4827,4828],{},"✅ 开发者 + 完全控制 + 高量级自动化",[45,4830,4831],{},"✅ 从 Zapier \u002F Make 迁出降本",[45,4833,4834],{},"✅ AI Agent + LangChain + MCP 一体",[45,4836,4837],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[45,4839,4840],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[45,4842,4843],{},"❌ 完全不愿自托管 + 不想付 Cloud",[45,4845,4846],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[45,4848,4849],{},"❌ 极简 2-step 自动化（Zapier 更快）",[27,4851,484],{"id":484},[42,4853,4854,4858,4862],{},[45,4855,4856],{},[490,4857,492],{"href":15},[45,4859,4860],{},[490,4861,502],{"href":21},[45,4863,4864],{},[490,4865,4155],{"href":3648},[27,4867,505],{"id":505},[218,4869,4870,4877,4884,4891],{},[45,4871,4872,4873],{},"n8n 官网 ",[490,4874,4875],{"href":4875,"rel":4876},"https:\u002F\u002Fn8n.io",[515],[45,4878,4879,4880],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[490,4881,4882],{"href":4882,"rel":4883},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[515],[45,4885,4886,4887],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[490,4888,4889],{"href":4889,"rel":4890},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[515],[45,4892,4893,4894],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[490,4895,4896],{"href":4896,"rel":4897},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[515],[2507,4899,4900],{},"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: 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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。",[4916,4919,4922,4925],{"q":4917,"a":4918},"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":4920,"a":4921},"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":4923,"a":4924},"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 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