[{"data":1,"prerenderedAt":1978},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-fastgpt-vs-n8n":9,"compare-a-fastgpt":10,"compare-b-n8n":1239},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,null,{"id":11,"title":12,"alternatives":13,"api_compatible":18,"body":20,"category":1146,"chinese_friendly":416,"cover":1147,"description":1148,"domestic":1149,"extension":1150,"faq":9,"free":1149,"github":1105,"languages":1151,"lastVerified":9,"meta":1154,"models":1155,"navigation":412,"notSuitable":1162,"opensource":412,"path":1166,"pillar":1167,"platforms":1168,"priceTable":1172,"pricing":1197,"published":1198,"relatedPlaybooks":1199,"relatedReviews":1201,"score":1206,"self_host":412,"seo":1207,"seoTitle":9,"slug":1208,"sources":1209,"stem":1220,"suitable":1221,"tagline":1227,"tags":1228,"updated":1236,"verdict":1237,"website":1098,"__hash__":1238},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Ffastgpt.md","FastGPT",[14,15,16,17],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Fcoze","agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n",[19],"openai",{"type":21,"value":22,"toc":1128},"minimark",[23,28,66,78,81,86,89,105,108,134,138,145,178,185,189,249,256,259,262,265,272,318,326,330,361,365,502,505,508,512,520,648,663,666,836,847,882,888,891,967,971,974,994,997,1015,1018,1088,1091,1116,1124],[24,25,27],"h2",{"id":26},"tldr","TL;DR",[29,30,35,55],"div",{"className":31},[32,33,34],"card","p-5","my-4",[36,37,38,42,43,50,51,54],"p",{},[39,40,41],"strong",{},"一句话："," labring 团队开源的 LLM 知识库 RAG 平台，27k+ GitHub star（截至 2026-03 数据，",[44,45,49],"a",{"href":46,"rel":47},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2632669",[48],"nofollow","腾讯云 2026-03 教程"," 引用），Apache 2.0 许可证可商用。",[39,52,53],{},"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。",[36,56,57,58,61,62,65],{},"最大价值在 ",[39,59,60],{},"国内企业知识库 + 私有部署"," 场景。代价是 ",[39,63,64],{},"配置门槛","：docker 基础 + 网络知识 + 一定运维能力。",[67,68,69],"blockquote",{},[36,70,71,72,77],{},"来源说明：本文基于 fastgpt.io 官方页面、github.com\u002Flabring\u002FFastGPT 仓库、",[44,73,76],{"href":74,"rel":75},"https:\u002F\u002Fwww.nanhuantech.com\u002Fzh\u002Fai-reviews\u002Ffastgpt-2025-review",[48],"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。",[24,79,80],{"id":80},"核心特性",[82,83,85],"h3",{"id":84},"知识库管理核心能力","知识库管理（核心能力）",[36,87,88],{},"支持文件类型：",[90,91,92,96,99,102],"ul",{},[93,94,95],"li",{},"文档：PDF \u002F Word \u002F Markdown \u002F TXT \u002F HTML",[93,97,98],{},"表格：Excel \u002F CSV",[93,100,101],{},"网页：URL 抓取 + 定时同步",[93,103,104],{},"API：通过接口推送内容",[36,106,107],{},"处理流程：上传 → 文本切分 → 向量化 → 存储 → 可用于问答。支持：",[90,109,110,116,122,128],{},[93,111,112,115],{},[39,113,114],{},"文件夹分组","：不同主题 \u002F 部门分类",[93,117,118,121],{},[39,119,120],{},"多种分块策略","：默认按段落 \u002F 按 token 数 \u002F 自定义",[93,123,124,127],{},[39,125,126],{},"批量导入","：脚本化大批量同步",[93,129,130,133],{},[39,131,132],{},"定时同步","：网页源自动更新",[82,135,137],{"id":136},"rag-流程编排最强卖点","RAG 流程编排（最强卖点）",[36,139,140,144],{},[44,141,143],{"href":74,"rel":142},[48],"南环 AI 2026 评测"," 总结的 FastGPT RAG 链路：",[146,147,148,154,160,166,172],"ol",{},[93,149,150,153],{},[39,151,152],{},"问题预处理","：改写 \u002F 扩展 \u002F 错词纠正（提升召回率）",[93,155,156,159],{},[39,157,158],{},"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",[93,161,162,165],{},[39,163,164],{},"重排序（Rerank）","：对初步检索结果二次排序，提升相关性",[93,167,168,171],{},[39,169,170],{},"上下文组装","：最优 chunk + 问题 → prompt",[93,173,174,177],{},[39,175,176],{},"答案生成","：调大模型基于检索结果回答 + 引用标注",[36,179,180,181,184],{},"每一步都可视化调参，这是 FastGPT 比 Coze \u002F Dify 在 ",[39,182,183],{},"纯知识库 QA 精度","上更高的原因。",[82,186,188],{"id":187},"多模型支持不绑定厂商","多模型支持（不绑定厂商）",[190,191,192,205],"table",{},[193,194,195],"thead",{},[196,197,198,202],"tr",{},[199,200,201],"th",{},"模型类别",[199,203,204],{},"支持",[206,207,208,217,225,233,241],"tbody",{},[196,209,210,214],{},[211,212,213],"td",{},"国产闭源",[211,215,216],{},"豆包 \u002F 通义千问 \u002F 文心一言 \u002F 智谱 GLM \u002F Moonshot Kimi \u002F MiniMax",[196,218,219,222],{},[211,220,221],{},"开源",[211,223,224],{},"LLaMA \u002F Qwen \u002F ChatGLM \u002F DeepSeek 等可自部署",[196,226,227,230],{},[211,228,229],{},"OpenAI 系",[211,231,232],{},"GPT-5 \u002F GPT-5 mini \u002F o3",[196,234,235,238],{},[211,236,237],{},"Claude 系",[211,239,240],{},"Sonnet 4 \u002F Opus 4 \u002F Haiku",[196,242,243,246],{},[211,244,245],{},"嵌入 \u002F 重排",[211,247,248],{},"BGE \u002F m3e \u002F OpenAI text-embedding-3",[36,250,251,252,255],{},"可以在 ",[39,253,254],{},"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。",[82,257,258],{"id":258},"工作流与高级编排",[36,260,261],{},"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。",[82,263,264],{"id":264},"多向量库选择",[36,266,267,271],{},[44,268,270],{"href":46,"rel":269},[48],"腾讯云教程"," 公开的 4 种向量后端：",[190,273,274,284],{},[193,275,276],{},[196,277,278,281],{},[199,279,280],{},"后端",[199,282,283],{},"适用",[206,285,286,294,302,310],{},[196,287,288,291],{},[211,289,290],{},"PgVector",[211,292,293],{},"5000 万索引以下，新手 \u002F 小规模",[196,295,296,299],{},[211,297,298],{},"Milvus",[211,300,301],{},"亿级以上，高性能",[196,303,304,307],{},[211,305,306],{},"Zilliz Cloud",[211,308,309],{},"Milvus 全托管 SaaS",[196,311,312,315],{},[211,313,314],{},"SeekDB \u002F OceanBase",[211,316,317],{},"企业级国产化",[36,319,320,321,325],{},"部署时选对应 ",[322,323,324],"code",{},"docker-compose.{pgvector|milvus|...}.yml","。",[82,327,329],{"id":328},"api-与-mcp","API 与 MCP",[90,331,332,338,344,355],{},[93,333,334,337],{},[39,335,336],{},"对话 API","：流式 \u002F 非流式 HTTP，OpenAI 兼容",[93,339,340,343],{},[39,341,342],{},"知识库检索 API","：单独调检索（不走生成）做 hybrid pipeline",[93,345,346,349,350,354],{},[39,347,348],{},"MCP Server","：3005 端口暴露 MCP SSE 服务，可被 ",[44,351,353],{"href":352},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code"," 等客户端直接接入",[93,356,357,360],{},[39,358,359],{},"Webhook","：回调通知",[24,362,364],{"id":363},"部署-10-分钟docker","部署 10 分钟（Docker）",[366,367,372],"pre",{"className":368,"code":369,"language":370,"meta":371,"style":371},"language-bash shiki shiki-themes github-light github-dark","# 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","bash","",[322,373,374,383,397,407,414,420,434,439,445,453,462,467,473,491,496],{"__ignoreMap":371},[375,376,379],"span",{"class":377,"line":378},"line",1,[375,380,382],{"class":381},"sJ8bj","# 克隆代码\n",[375,384,386,390,394],{"class":377,"line":385},2,[375,387,389],{"class":388},"sScJk","git",[375,391,393],{"class":392},"sZZnC"," clone",[375,395,396],{"class":392}," https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT.git\n",[375,398,400,404],{"class":377,"line":399},3,[375,401,403],{"class":402},"sj4cs","cd",[375,405,406],{"class":392}," FastGPT\n",[375,408,410],{"class":377,"line":409},4,[375,411,413],{"emptyLinePlaceholder":412},true,"\n",[375,415,417],{"class":377,"line":416},5,[375,418,419],{"class":381},"# 切到最新稳定版（参考 GitHub releases）\n",[375,421,423,425,428,431],{"class":377,"line":422},6,[375,424,389],{"class":388},[375,426,427],{"class":392}," switch",[375,429,430],{"class":402}," -c",[375,432,433],{"class":402}," 4.14.7.2\n",[375,435,437],{"class":377,"line":436},7,[375,438,413],{"emptyLinePlaceholder":412},[375,440,442],{"class":377,"line":441},8,[375,443,444],{"class":381},"# 选向量库版本（个人 \u002F 小规模选 pg）\n",[375,446,448,450],{"class":377,"line":447},9,[375,449,403],{"class":402},[375,451,452],{"class":392}," deploy\u002Fdocker\u002Fcn\n",[375,454,456,459],{"class":377,"line":455},10,[375,457,458],{"class":388},"wget",[375,460,461],{"class":392}," https:\u002F\u002Fdoc.fastgpt.cn\u002Fdeploy\u002Fconfig\u002Fconfig.json\n",[375,463,465],{"class":377,"line":464},11,[375,466,413],{"emptyLinePlaceholder":412},[375,468,470],{"class":377,"line":469},12,[375,471,472],{"class":381},"# 启动\n",[375,474,476,479,482,485,488],{"class":377,"line":475},13,[375,477,478],{"class":388},"docker-compose",[375,480,481],{"class":402}," -f",[375,483,484],{"class":392}," docker-compose.pg.yml",[375,486,487],{"class":392}," up",[375,489,490],{"class":402}," -d\n",[375,492,494],{"class":377,"line":493},14,[375,495,413],{"emptyLinePlaceholder":412},[375,497,499],{"class":377,"line":498},15,[375,500,501],{"class":381},"# 访问 http:\u002F\u002F\u003Cip>:3000，默认账号 root \u002F 1234\n",[36,503,504],{},"最低配置：2C4G + 20GB 硬盘 + Docker 28+ + Docker Compose 2.20+。",[36,506,507],{},"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。",[24,509,511],{"id":510},"云版-vs-自托管对比","云版 vs 自托管对比",[36,513,514,519],{},[44,515,518],{"href":516,"rel":517},"https:\u002F\u002Ffastgpt.io\u002Fzh\u002Fprice",[48],"fastgpt.io 官方定价"," 公开数据：",[190,521,522,550],{},[193,523,524],{},[196,525,526,529,532,535,538,541,544,547],{},[199,527,528],{},"套餐",[199,530,531],{},"价格",[199,533,534],{},"AI 积分",[199,536,537],{},"知识库索引",[199,539,540],{},"团队",[199,542,543],{},"Agent",[199,545,546],{},"知识库",[199,548,549],{},"QPM",[206,551,552,578,603,627],{},[196,553,554,557,560,563,566,569,572,575],{},[211,555,556],{},"免费",[211,558,559],{},"¥0",[211,561,562],{},"100",[211,564,565],{},"600",[211,567,568],{},"1",[211,570,571],{},"10",[211,573,574],{},"3",[211,576,577],{},"30",[196,579,580,583,586,589,592,595,598,600],{},[211,581,582],{},"基础",[211,584,585],{},"¥99\u002F月",[211,587,588],{},"4000",[211,590,591],{},"6000",[211,593,594],{},"5",[211,596,597],{},"50",[211,599,577],{},[211,601,602],{},"300",[196,604,605,608,611,614,617,619,622,624],{},[211,606,607],{},"高级",[211,609,610],{},"¥599\u002F月",[211,612,613],{},"25000",[211,615,616],{},"36000",[211,618,597],{},[211,620,621],{},"200",[211,623,562],{},[211,625,626],{},"1500",[196,628,629,632,635,638,640,642,644,646],{},[211,630,631],{},"定制",[211,633,634],{},"议价",[211,636,637],{},"弹性",[211,639,637],{},[211,641,637],{},[211,643,637],{},[211,645,637],{},[211,647,637],{},[36,649,650,653,654,657,658,662],{},[39,651,652],{},"云版适合","：不想运维、量小、要快速上线\n",[39,655,656],{},"自托管适合","：量大（10 万+ 日问答）、数据敏感、要深度定制——按 ",[44,659,661],{"href":74,"rel":660},[48],"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\"",[24,664,665],{"id":665},"与同类怎么选",[190,667,668,695],{},[193,669,670],{},[196,671,672,675,677,683,689,692],{},[199,673,674],{},"维度",[199,676,12],{},[199,678,679],{},[44,680,682],{"href":681},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify",[199,684,685],{},[44,686,688],{"href":687},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze",[199,690,691],{},"RAGFlow",[199,693,694],{},"AnythingLLM",[206,696,697,717,734,753,771,787,804,819],{},[196,698,699,702,705,708,711,714],{},[211,700,701],{},"核心定位",[211,703,704],{},"知识库 QA",[211,706,707],{},"综合 LLMOps",[211,709,710],{},"Bot + 工作流",[211,712,713],{},"文档解析+RAG",[211,715,716],{},"桌面级 KB",[196,718,719,721,724,726,729,731],{},[211,720,221],{},[211,722,723],{},"✅ Apache 2.0",[211,725,723],{},[211,727,728],{},"❌",[211,730,723],{},[211,732,733],{},"✅ MIT",[196,735,736,739,742,745,748,751],{},[211,737,738],{},"私有部署",[211,740,741],{},"★★★★★ docker",[211,743,744],{},"★★★★★",[211,746,747],{},"⚠️ 仅企业版",[211,749,750],{},"★★★★☆",[211,752,744],{},[196,754,755,758,761,763,766,769],{},[211,756,757],{},"RAG 深度",[211,759,760],{},"★★★★★ 最细",[211,762,750],{},[211,764,765],{},"★★★☆☆",[211,767,768],{},"★★★★★ 文档解析最强",[211,770,765],{},[196,772,773,776,778,780,782,784],{},[211,774,775],{},"工作流",[211,777,750],{},[211,779,744],{},[211,781,750],{},[211,783,765],{},[211,785,786],{},"★★☆☆☆",[196,788,789,792,795,797,800,802],{},[211,790,791],{},"上手",[211,793,794],{},"★★★☆☆ 需 docker",[211,796,750],{},[211,798,799],{},"★★★★★ 最简单",[211,801,765],{},[211,803,750],{},[196,805,806,809,811,813,815,817],{},[211,807,808],{},"中文优化",[211,810,744],{},[211,812,750],{},[211,814,744],{},[211,816,750],{},[211,818,765],{},[196,820,821,824,827,829,831,834],{},[211,822,823],{},"多平台发布",[211,825,826],{},"⚠️ API 为主",[211,828,750],{},[211,830,744],{},[211,832,833],{},"⚠️",[211,835,833],{},[36,837,838,841,842,846],{},[39,839,840],{},"怎么选","（综合 ",[44,843,845],{"href":74,"rel":844},[48],"南环 AI 评测","）：",[90,848,849,855,863,870,876],{},[93,850,851,854],{},[39,852,853],{},"核心需求是 RAG 精度"," → FastGPT",[93,856,857,860,861],{},[39,858,859],{},"需要丰富插件 + 复杂工作流 + 多平台发布"," → ",[44,862,682],{"href":681},[93,864,865,860,868],{},[39,866,867],{},"零代码、快速发布到飞书 \u002F 微信",[44,869,688],{"href":687},[93,871,872,875],{},[39,873,874],{},"文档解析（含 OCR \u002F 表格 \u002F 公式）是瓶颈"," → RAGFlow",[93,877,878,881],{},[39,879,880],{},"桌面 \u002F 单机使用"," → AnythingLLM",[36,883,884,887],{},[39,885,886],{},"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。",[24,889,890],{"id":890},"避坑清单",[90,892,893,907,916,922,932,944,950,956],{},[93,894,895,898,899,902,903,906],{},[39,896,897],{},"docker-compose 镜像 tag 不一致","：",[44,900,270],{"href":46,"rel":901},[48]," 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 ",[322,904,905],{},"image:"," 行为正确版本即可",[93,908,909,912,913,915],{},[39,910,911],{},"3000 端口冲突","：默认占用 3000（主服务）\u002F 9000（S3 \u002F MinIO）\u002F 3005（MCP）；改 ",[322,914,478],{}," 的 ports 映射端口",[93,917,918,921],{},[39,919,920],{},"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",[93,923,924,927,928,931],{},[39,925,926],{},"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 ",[44,929,661],{"href":74,"rel":930},[48],"：\"新手 \u002F 小规模 PgVector，中大规模 Milvus，企业 \u002F 国产 OceanBase\"",[93,933,934,898,937,940,941],{},[39,935,936],{},"MinIO 默认密码",[322,938,939],{},"minioadmin\u002Fminioadmin","，",[39,942,943],{},"部署到公网前必须改",[93,945,946,949],{},[39,947,948],{},"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\"",[93,951,952,955],{},[39,953,954],{},"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",[93,957,958,961,962,966],{},[39,959,960],{},"云版 AI 积分会过期","：未用完不能跨月累积（按 ",[44,963,965],{"href":516,"rel":964},[48],"fastgpt.io 定价 FAQ","）",[24,968,970],{"id":969},"适合-不适合","适合 \u002F 不适合",[36,972,973],{},"✅ 适合：",[90,975,976,979,982,985,988,991],{},[93,977,978],{},"企业内部知识库（员工手册 \u002F 制度 \u002F 流程）",[93,980,981],{},"产品 FAQ \u002F 用户手册问答",[93,983,984],{},"医疗 \u002F 法律 \u002F 金融垂直领域知识系统",[93,986,987],{},"数据严格不出网 + Apache 2.0 商用",[93,989,990],{},"有 docker 运维基础的技术团队",[93,992,993],{},"需要把 RAG 当后端服务的开发者（API 接入业务系统）",[36,995,996],{},"❌ 不适合：",[90,998,999,1004,1009,1012],{},[93,1000,1001,1002,966],{},"完全非技术用户（去 ",[44,1003,688],{"href":687},[93,1005,1006,1007,966],{},"主要需求是工作流 + 插件集成（去 ",[44,1008,682],{"href":681},[93,1010,1011],{},"文档解析 \u002F OCR 是首要痛点（RAGFlow）",[93,1013,1014],{},"不想自己运维 + 量很小（FastGPT 云免费版起步即可）",[24,1016,1017],{"id":1017},"相关阅读",[90,1019,1020,1033,1054,1077],{},[93,1021,1022,1023,1025,1026,1028,1029],{},"同类对比：",[44,1024,682],{"href":681}," \u002F ",[44,1027,688],{"href":687}," \u002F RAGFlow \u002F AnythingLLM \u002F ",[44,1030,1032],{"href":1031},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[93,1034,1035,1036,1025,1040,1025,1044,1025,1047,1025,1050],{},"概念：",[44,1037,1039],{"href":1038},"\u002Fwiki\u002Frag.html","RAG",[44,1041,1043],{"href":1042},"\u002Fwiki\u002Fembedding.html","Embedding",[44,1045,1046],{"href":1042},"Vector Database",[44,1048,1049],{"href":1038},"Reranker",[44,1051,1053],{"href":1052},"\u002Fwiki\u002Fai-agent.html","AI Agent",[93,1055,1056,1057,1025,1061,1025,1065,1025,1069,1025,1073],{},"模型：",[44,1058,1060],{"href":1059},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[44,1062,1064],{"href":1063},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[44,1066,1068],{"href":1067},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[44,1070,1072],{"href":1071},"\u002Fmodels\u002Fkimi-k2.html","Kimi K2",[44,1074,1076],{"href":1075},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[93,1078,1079,1080,1025,1084],{},"进阶：",[44,1081,1083],{"href":1082},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[44,1085,1087],{"href":1086},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[24,1089,1090],{"id":1090},"来源",[90,1092,1093,1100,1107,1113],{},[93,1094,1095,1096],{},"官网：",[44,1097,1098],{"href":1098,"rel":1099},"https:\u002F\u002Ffastgpt.io",[48],[93,1101,1102,1103],{},"GitHub：",[44,1104,1105],{"href":1105,"rel":1106},"https:\u002F\u002Fgithub.com\u002Flabring\u002FFastGPT",[48],[93,1108,1109,1110],{},"定价：",[44,1111,516],{"href":516,"rel":1112},[48],[93,1114,1115],{},"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",[36,1117,1118,1119,1123],{},"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 ",[44,1120,1122],{"href":1121},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",[1125,1126,1127],"style",{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":371,"searchDepth":399,"depth":399,"links":1129},[1130,1131,1139,1140,1141,1142,1143,1144,1145],{"id":26,"depth":385,"text":27},{"id":80,"depth":385,"text":80,"children":1132},[1133,1134,1135,1136,1137,1138],{"id":84,"depth":399,"text":85},{"id":136,"depth":399,"text":137},{"id":187,"depth":399,"text":188},{"id":258,"depth":399,"text":258},{"id":264,"depth":399,"text":264},{"id":328,"depth":399,"text":329},{"id":363,"depth":385,"text":364},{"id":510,"depth":385,"text":511},{"id":665,"depth":385,"text":665},{"id":890,"depth":385,"text":890},{"id":969,"depth":385,"text":970},{"id":1017,"depth":385,"text":1017},{"id":1090,"depth":385,"text":1090},"platform","\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。",false,"md",[1152,1153],"zh","en",{},[1156,1157,1158,1159,1160,1161],"deepseek-v3","qwen-max","doubao-pro","gpt-4o","claude-sonnet-4","kimi",[1163,1164,1165],"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","agent",[1169,1170,1171],"windows","macos","linux",[1173,1178,1183,1188,1193],{"plan":1174,"price":556,"limit":1175,"cn_pay":1176,"note":1177},"Self-host 开源","全功能 + 全数据本地","—","Apache 2.0 可商用",{"plan":1179,"price":1180,"limit":1181,"cn_pay":1176,"note":1182},"云免费版","¥0\u002F月","100 AI 积分 + 600 索引 + 3 知识库","试水",{"plan":1184,"price":585,"limit":1185,"cn_pay":1186,"note":1187},"云基础版","4000 积分 + 6000 索引 + 50 Agent","✅ 微信\u002F支付宝","中小团队 SaaS",{"plan":1189,"price":610,"limit":1190,"cn_pay":1191,"note":1192},"云高级版","25000 积分 + 36000 索引 + 50 成员 + 200 Agent + 1500 QPM","✅","企业级生产",{"plan":1194,"price":634,"limit":1195,"cn_pay":1191,"note":1196},"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","2026-06-18",[1200],"onboarding\u002Ffastgpt-getting-started",[1202,1203,1204,1205],"fastgpt-deep-review","coze-deep-review","coze-vs-dify","dify-deep-review",{"power":409,"ux":409,"price":416,"cn_support":416,"stability":409},{"title":12,"description":1148},"agent\u002Fplatform\u002Ffastgpt",[1210,1212,1214,1216,1218],{"title":1211,"url":1098},"FastGPT 官网",{"title":1213,"url":1105},"FastGPT GitHub",{"title":1215,"url":516},"FastGPT 定价页",{"title":1217,"url":74},"FastGPT 2025 测评（南环 AI）",{"title":1219,"url":46},"FastGPT 部署教程（腾讯云）","tools\u002Fagent\u002Fplatform\u002Ffastgpt",[1222,1223,1224,1225,1226],"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",[1229,1230,1231,1232,1233,1234,1235],"agent-platform","opensource","self-host","rag","china","knowledge-base","labring","2026-06-24","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。","8WByuuERL4Ll0dVQeD7A-LVHlxElsUGAZF_GhzdYohI",{"id":1240,"title":1032,"alternatives":1241,"api_compatible":9,"body":1244,"category":1146,"chinese_friendly":399,"cover":1913,"description":1914,"domestic":1149,"extension":1150,"faq":1915,"free":1149,"github":9,"languages":1928,"lastVerified":9,"meta":1930,"models":9,"navigation":412,"notSuitable":9,"opensource":412,"path":1931,"pillar":1167,"platforms":1932,"priceTable":1935,"pricing":1953,"published":1954,"relatedPlaybooks":1955,"relatedReviews":9,"score":1957,"self_host":412,"seo":1958,"seoTitle":1959,"slug":17,"sources":1960,"stem":1969,"suitable":9,"tagline":1970,"tags":1971,"updated":1236,"verdict":1976,"website":1875,"__hash__":1977},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n.md",[16,1242,1243],"agent\u002Fprotocol\u002Fcomposio","agent\u002Fgeneral\u002Fopenmanus",{"type":21,"value":1245,"toc":1901},[1246,1248,1251,1254,1257,1331,1333,1359,1364,1368,1373,1399,1404,1430,1434,1562,1565,1593,1596,1599,1752,1755,1816,1818,1844,1846,1866,1868,1898],[24,1247,27],{"id":26},[36,1249,1250],{},"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。",[36,1252,1253],{},"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）。",[24,1255,1256],{"id":1256},"核心能力",[90,1258,1259,1265,1271,1277,1283,1289,1295,1301,1307,1313,1319,1325],{},[93,1260,1261,1264],{},[39,1262,1263],{},"AI Agent 节点","：reasoning loop + 自主工具选择",[93,1266,1267,1270],{},[39,1268,1269],{},"70 LangChain 节点","：LLM \u002F VectorStore \u002F Agent \u002F Tool \u002F Memory 全套",[93,1272,1273,1276],{},[39,1274,1275],{},"原生 MCP","：MCP server 一键挂载到 agent",[93,1278,1279,1282],{},[39,1280,1281],{},"Ollama 集成","：本地 LLM 零 API 成本",[93,1284,1285,1288],{},[39,1286,1287],{},"400+ 集成","：Slack \u002F GitHub \u002F Google \u002F Notion \u002F 主流 SaaS",[93,1290,1291,1294],{},[39,1292,1293],{},"HTTP \u002F Webhook 万能节点","：任意 REST API 都能接",[93,1296,1297,1300],{},[39,1298,1299],{},"Cron \u002F Trigger","：定时 \u002F 事件 \u002F Webhook 触发",[93,1302,1303,1306],{},[39,1304,1305],{},"多分支并行 + 错误处理","：production workflow 必备",[93,1308,1309,1312],{},[39,1310,1311],{},"版本控制 + Git Sync","：workflow as code",[93,1314,1315,1318],{},[39,1316,1317],{},"自托管 Docker \u002F Kubernetes","：一行起 + 水平扩展",[93,1320,1321,1324],{},[39,1322,1323],{},"execution-based 定价","：20 步和 2 步同价（自托管 = 0）",[93,1326,1327,1330],{},[39,1328,1329],{},"5800+ 社区 workflow","：clone 即用",[24,1332,531],{"id":531},[90,1334,1335,1341,1347,1353],{},[93,1336,1337,1340],{},[39,1338,1339],{},"Community Self-host","：$0；全功能 + 不限 execution + 自付 VPS $5-10\u002F月",[93,1342,1343,1346],{},[39,1344,1345],{},"Cloud Starter","：~€20\u002F月；2,500 executions + 5 workflow",[93,1348,1349,1352],{},[39,1350,1351],{},"Cloud Pro","：~€50\u002F月；高 executions + 团队协作",[93,1354,1355,1358],{},[39,1356,1357],{},"Enterprise","：联系销售；SSO + LDAP + 私有部署 + SLA",[67,1360,1361],{},[36,1362,1363],{},"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。",[24,1365,1367],{"id":1366},"实测中型团队-saas-迁移-本地-ai","实测（中型团队 SaaS 迁移 + 本地 AI）",[36,1369,1370],{},[39,1371,1372],{},"亮点：",[90,1374,1375,1378,1381,1384,1387,1390,1393,1396],{},[93,1376,1377],{},"自托管成本几乎可忽略：$5\u002F月 VPS 跑几十个 workflow",[93,1379,1380],{},"AI Agent + Ollama 让 LLM 任务零 API 成本",[93,1382,1383],{},"70 LangChain 节点覆盖 RAG \u002F Agent \u002F 多模态",[93,1385,1386],{},"MCP 原生集成让 n8n agent 调用任意 MCP server",[93,1388,1389],{},"5800+ 社区 workflow 节省 80% 上手时间",[93,1391,1392],{},"HTTP \u002F Webhook 万能节点弥补 native 集成缺口",[93,1394,1395],{},"升级 Docker tag 一行，无 vendor 升级费",[93,1397,1398],{},"中文社区 \u002F B 站教程丰富",[36,1400,1401],{},[39,1402,1403],{},"踩坑：",[90,1405,1406,1409,1412,1415,1418,1421,1424,1427],{},[93,1407,1408],{},"集成数（400+）远少于 Zapier（8000+），冷门 SaaS 要写 HTTP 自己接",[93,1410,1411],{},"自托管要懂 Docker \u002F Postgres \u002F Redis（高吞吐场景）",[93,1413,1414],{},"Cloud 定价 execution 计算法与本地不一致，迁移要重算成本",[93,1416,1417],{},"复杂 workflow 调试比 Zapier 难（错误堆栈深）",[93,1419,1420],{},"Sustainable Use License 不是传统 OSI 开源，企业法务要看条款",[93,1422,1423],{},"AI Agent 节点 production 稳定性不如简单线性 flow",[93,1425,1426],{},"Webhook 公网暴露要加 IP 白名单 + secret",[93,1428,1429],{},"Worker 模式才能并发，单进程吞吐有限",[24,1431,1433],{"id":1432},"上手docker-5-分钟","上手（Docker 5 分钟）",[366,1435,1437],{"className":368,"code":1436,"language":370,"meta":371,"style":371},"# 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",[322,1438,1439,1444,1455,1459,1463,1477,1487,1497,1510,1519,1528,1538,1548,1553,1557],{"__ignoreMap":371},[375,1440,1441],{"class":377,"line":378},[375,1442,1443],{"class":381},"# 持久化目录\n",[375,1445,1446,1449,1452],{"class":377,"line":385},[375,1447,1448],{"class":388},"mkdir",[375,1450,1451],{"class":402}," -p",[375,1453,1454],{"class":392}," ~\u002Fn8n-data\n",[375,1456,1457],{"class":377,"line":399},[375,1458,413],{"emptyLinePlaceholder":412},[375,1460,1461],{"class":377,"line":409},[375,1462,472],{"class":381},[375,1464,1465,1468,1471,1474],{"class":377,"line":416},[375,1466,1467],{"class":388},"docker",[375,1469,1470],{"class":392}," run",[375,1472,1473],{"class":402}," -d",[375,1475,1476],{"class":402}," \\\n",[375,1478,1479,1482,1485],{"class":377,"line":422},[375,1480,1481],{"class":402},"  --name",[375,1483,1484],{"class":392}," n8n",[375,1486,1476],{"class":402},[375,1488,1489,1492,1495],{"class":377,"line":436},[375,1490,1491],{"class":402},"  -p",[375,1493,1494],{"class":392}," 5678:5678",[375,1496,1476],{"class":402},[375,1498,1499,1502,1505,1508],{"class":377,"line":441},[375,1500,1501],{"class":402},"  -e",[375,1503,1504],{"class":392}," N8N_BASIC_AUTH_ACTIVE=",[375,1506,1507],{"class":402},"true",[375,1509,1476],{"class":402},[375,1511,1512,1514,1517],{"class":377,"line":447},[375,1513,1501],{"class":402},[375,1515,1516],{"class":392}," N8N_BASIC_AUTH_USER=admin",[375,1518,1476],{"class":402},[375,1520,1521,1523,1526],{"class":377,"line":455},[375,1522,1501],{"class":402},[375,1524,1525],{"class":392}," N8N_BASIC_AUTH_PASSWORD=yourpassword",[375,1527,1476],{"class":402},[375,1529,1530,1533,1536],{"class":377,"line":464},[375,1531,1532],{"class":402},"  -v",[375,1534,1535],{"class":392}," ~\u002Fn8n-data:\u002Fhome\u002Fnode\u002F.n8n",[375,1537,1476],{"class":402},[375,1539,1540,1543,1546],{"class":377,"line":469},[375,1541,1542],{"class":402},"  --restart",[375,1544,1545],{"class":392}," always",[375,1547,1476],{"class":402},[375,1549,1550],{"class":377,"line":475},[375,1551,1552],{"class":392},"  n8nio\u002Fn8n\n",[375,1554,1555],{"class":377,"line":493},[375,1556,413],{"emptyLinePlaceholder":412},[375,1558,1559],{"class":377,"line":498},[375,1560,1561],{"class":381},"# http:\u002F\u002Flocalhost:5678\n",[36,1563,1564],{},"连 Ollama：",[366,1566,1568],{"className":368,"code":1567,"language":370,"meta":371,"style":371},"ollama serve\nollama pull llama3.2\n# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[322,1569,1570,1578,1588],{"__ignoreMap":371},[375,1571,1572,1575],{"class":377,"line":378},[375,1573,1574],{"class":388},"ollama",[375,1576,1577],{"class":392}," serve\n",[375,1579,1580,1582,1585],{"class":377,"line":385},[375,1581,1574],{"class":388},[375,1583,1584],{"class":392}," pull",[375,1586,1587],{"class":392}," llama3.2\n",[375,1589,1590],{"class":377,"line":399},[375,1591,1592],{"class":381},"# n8n 中添加 Ollama credential：http:\u002F\u002Fhost.docker.internal:11434\n",[36,1594,1595],{},"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。",[24,1597,1598],{"id":1598},"对比",[190,1600,1601,1618],{},[193,1602,1603],{},[196,1604,1605,1607,1609,1612,1615],{},[199,1606,674],{},[199,1608,1032],{},[199,1610,1611],{},"Zapier",[199,1613,1614],{},"Make",[199,1616,1617],{},"Langflow",[206,1619,1620,1633,1647,1664,1677,1692,1705,1719,1735],{},[196,1621,1622,1624,1627,1629,1631],{},[211,1623,221],{},[211,1625,1626],{},"✅ fair-code",[211,1628,728],{},[211,1630,728],{},[211,1632,733],{},[196,1634,1635,1638,1641,1643,1645],{},[211,1636,1637],{},"自托管",[211,1639,1640],{},"✅ 旗舰",[211,1642,728],{},[211,1644,728],{},[211,1646,1191],{},[196,1648,1649,1652,1655,1658,1661],{},[211,1650,1651],{},"集成数",[211,1653,1654],{},"400+",[211,1656,1657],{},"8000+",[211,1659,1660],{},"2000+",[211,1662,1663],{},"LangChain 原语",[196,1665,1666,1668,1670,1673,1675],{},[211,1667,1053],{},[211,1669,1640],{},[211,1671,1672],{},"部分",[211,1674,1672],{},[211,1676,1191],{},[196,1678,1679,1682,1685,1687,1689],{},[211,1680,1681],{},"LangChain 节点",[211,1683,1684],{},"✅ 70 个",[211,1686,728],{},[211,1688,728],{},[211,1690,1691],{},"✅ 原生",[196,1693,1694,1697,1699,1701,1703],{},[211,1695,1696],{},"MCP",[211,1698,1691],{},[211,1700,728],{},[211,1702,728],{},[211,1704,1672],{},[196,1706,1707,1710,1713,1715,1717],{},[211,1708,1709],{},"Local LLM",[211,1711,1712],{},"✅ Ollama",[211,1714,728],{},[211,1716,728],{},[211,1718,1191],{},[196,1720,1721,1724,1727,1730,1733],{},[211,1722,1723],{},"起价",[211,1725,1726],{},"$0 自托管",[211,1728,1729],{},"$29.99\u002F月",[211,1731,1732],{},"$9\u002F月",[211,1734,1726],{},[196,1736,1737,1740,1743,1746,1749],{},[211,1738,1739],{},"适合",[211,1741,1742],{},"开发者 + 高量级",[211,1744,1745],{},"非技术 + 简单",[211,1747,1748],{},"中等复杂",[211,1750,1751],{},"LangChain 工程",[24,1753,1754],{"id":1754},"避坑",[90,1756,1757,1763,1769,1775,1781,1787,1793,1799,1805,1810],{},[93,1758,1759,1762],{},[39,1760,1761],{},"自托管装 Postgres + Redis","：默认 SQLite 高吞吐崩",[93,1764,1765,1768],{},[39,1766,1767],{},"Worker 模式","：高并发要起 worker container 才能并行",[93,1770,1771,1774],{},[39,1772,1773],{},"Webhook 加防护","：公网 Webhook 加 IP 白名单 \u002F secret \u002F nginx",[93,1776,1777,1780],{},[39,1778,1779],{},"数据加密","：n8n encryption key 设强随机值，备份要带 key",[93,1782,1783,1786],{},[39,1784,1785],{},"Cloud vs Self-host 成本","：>2k execution\u002F月 自托管更省",[93,1788,1789,1792],{},[39,1790,1791],{},"集成缺失","：冷门 SaaS 用 HTTP Request + curl 等价",[93,1794,1795,1798],{},[39,1796,1797],{},"AI Agent 稳定性","：生产关键流先用线性节点，agent 留给探索任务",[93,1800,1801,1804],{},[39,1802,1803],{},"license 法务","：Sustainable Use License 给法务看一遍，企业内部用没问题",[93,1806,1807,1809],{},[39,1808,1329],{},"：导入前看作者 + star 数 + 不要直接生产用，要 review",[93,1811,1812,1815],{},[39,1813,1814],{},"monitoring","：生产部署加 prometheus + 错误告警",[24,1817,970],{"id":969},[90,1819,1820,1823,1826,1829,1832,1835,1838,1841],{},[93,1821,1822],{},"✅ 开发者 + 完全控制 + 高量级自动化",[93,1824,1825],{},"✅ 从 Zapier \u002F Make 迁出降本",[93,1827,1828],{},"✅ AI Agent + LangChain + MCP 一体",[93,1830,1831],{},"✅ 合规 \u002F 数据驻留 \u002F 自托管需求",[93,1833,1834],{},"❌ 非技术 + 要 8000+ 现成集成（用 Zapier）",[93,1836,1837],{},"❌ 完全不愿自托管 + 不想付 Cloud",[93,1839,1840],{},"❌ 纯研究 \u002F 学术 agent（用 OpenManus）",[93,1842,1843],{},"❌ 极简 2-step 自动化（Zapier 更快）",[24,1845,1017],{"id":1017},[90,1847,1848,1854,1860],{},[93,1849,1850],{},[44,1851,1853],{"href":1852},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[93,1855,1856],{},[44,1857,1859],{"href":1858},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[93,1861,1862],{},[44,1863,1865],{"href":1864},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus","OpenManus 评测",[24,1867,1090],{"id":1090},[146,1869,1870,1877,1884,1891],{},[93,1871,1872,1873],{},"n8n 官网 ",[44,1874,1875],{"href":1875,"rel":1876},"https:\u002F\u002Fn8n.io",[48],[93,1878,1879,1880],{},"AutomationByExperts — n8n 2026 200k users 5x ARR ",[44,1881,1882],{"href":1882,"rel":1883},"https:\u002F\u002Fautomationbyexperts.com\u002Fblog\u002Fn8n-ai-workflow-automation-guide-2026",[48],[93,1885,1886,1887],{},"Tutorials Technology — n8n + AI on Linux 2026（Docker + Ollama）",[44,1888,1889],{"href":1889,"rel":1890},"https:\u002F\u002Ftutorials.technology\u002Ftutorials\u002Fn8n-ai-workflows-linux-2026.html",[48],[93,1892,1893,1894],{},"Northflank — n8n Self-host Architecture + Pricing 2026 ",[44,1895,1896],{"href":1896,"rel":1897},"https:\u002F\u002Fnorthflank.com\u002Fblog\u002Fhow-to-self-host-n8n-setup-architecture-and-pricing-guide",[48],[1125,1899,1900],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":371,"searchDepth":399,"depth":399,"links":1902},[1903,1904,1905,1906,1907,1908,1909,1910,1911,1912],{"id":26,"depth":385,"text":27},{"id":1256,"depth":385,"text":1256},{"id":531,"depth":385,"text":531},{"id":1366,"depth":385,"text":1367},{"id":1432,"depth":385,"text":1433},{"id":1598,"depth":385,"text":1598},{"id":1754,"depth":385,"text":1754},{"id":969,"depth":385,"text":970},{"id":1017,"depth":385,"text":1017},{"id":1090,"depth":385,"text":1090},"\u002Fimg\u002Ftools\u002Fn8n.webp","n8n 2026 真实评测：开源自托管自动化平台和 AI Agent 工作流工具，支持 LangChain 节点、MCP、Ollama、OpenAI、Webhook、400+ 集成和 execution-based 定价。本文对比 Zapier、Make、Dify，整理自托管成本、适合场景和避坑建议。",[1916,1919,1922,1925],{"q":1917,"a":1918},"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":1920,"a":1921},"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":1923,"a":1924},"Sustainable Use License 是什么协议？","n8n 用的 fair-code 协议（非传统 OSI 开源）。允许内部使用 + 自托管 + 修改源码，但限制把 n8n 作为 SaaS 转售（与 n8n 商业版直接竞争）。对自用 \u002F 内部工具 \u002F 普通自托管 100% 免费。要做 n8n competitor \u002F 商业 SaaS 才需要谈授权。",{"q":1926,"a":1927},"自托管成本和门槛？","最小：$5-10\u002F月 VPS（DigitalOcean \u002F Hetzner \u002F Linode）+ Docker 一行起。Postgres 持久化 + Redis 队列（高吞吐）+ Worker 节点（水平扩展）。10 分钟内能跑通最小版本。中文社区 \u002F B 站 \u002F 知乎 有大量中文教程。比 Langflow \u002F Dify 上手快。",[1153,1929],"multi",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",[1231,1933,1467,1934],"cloud","web",[1936,1941,1945,1949],{"plan":1937,"price":1938,"features":1939,"notes":1940},"Community (Self-host)","$0","全部功能 + 不限执行 + 不限 workflow + Sustainable Use License","VPS $5-10\u002F月",{"plan":1345,"price":1942,"features":1943,"notes":1944},"~€20\u002F月","2,500 executions + 5 workflow + 基础集成","试水 \u002F 小团队",{"plan":1351,"price":1946,"features":1947,"notes":1948},"~€50\u002F月","更高 executions + 团队协作 + 高级特性","中型团队",{"plan":1357,"price":1950,"features":1951,"notes":1952},"联系销售","SSO + audit + LDAP + 私有部署 + SLA","大客户","Self-host 免费 \u002F Cloud Starter ~€20·月 (2.5k executions) \u002F Pro \u002F Business \u002F Enterprise 阶梯","2026-06-19",[1956],"onboarding\u002Fn8n-ollama-automation",{"power":416,"ux":409,"price":416,"cn_support":399,"stability":416},{"title":1032,"description":1914},"n8n 评测 2026：开源自托管自动化平台，AI Agent 工作流首选",[1961,1963,1965,1967],{"name":1962,"url":1875,"accessed":1236},"n8n 官网",{"name":1964,"url":1882,"accessed":1236},"AutomationByExperts — n8n 2026 200k users 5x ARR",{"name":1966,"url":1889,"accessed":1236},"Tutorials Technology — n8n + AI on Linux 2026",{"name":1968,"url":1896,"accessed":1236},"Northflank — n8n Self-host Pricing 2026","tools\u002Fagent\u002Fplatform\u002Fn8n","自托管自动化平台：200k+ 用户 + 70 LangChain 节点 + MCP 原生 + Ollama 集成",[1230,1972,1973,1974,1975,1231,1032],"workflow","automation","langchain","mcp","Zapier \u002F Make 的开源替代——20 步工作流和 2 步成本一样（自托管）。AI Agent + LangChain 节点让它在 2026 成为开发者首选自动化平台。要 8000+ 现成集成 + 极简上手用 Zapier；要中等复杂 + 不自托管用 Make。","Y5uedkjOvG7WLZTjkH2_rw8c5QipFprpPc7QrzBLivw",1784565440540]