[{"data":1,"prerenderedAt":2129},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-dify-vs-manus":9,"compare-a-dify":10,"compare-b-manus":1171},{"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":9,"body":18,"category":1102,"chinese_friendly":386,"cover":1103,"description":1104,"domestic":1105,"extension":1106,"faq":9,"free":1105,"github":332,"languages":1107,"lastVerified":9,"meta":1111,"models":9,"navigation":553,"notSuitable":9,"opensource":553,"path":1112,"pillar":1113,"platforms":1114,"priceTable":1118,"pricing":1135,"published":1136,"relatedPlaybooks":9,"relatedReviews":1137,"score":1142,"self_host":553,"seo":1143,"seoTitle":1144,"slug":1145,"sources":1146,"stem":1158,"suitable":9,"tagline":1159,"tags":1160,"updated":1168,"verdict":1169,"website":1044,"__hash__":1170},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md","Dify",[14,15,16,17],"agent\u002Fplatform\u002Fcoze","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",{"type":19,"value":20,"toc":1080},"minimark",[21,26,54,60,63,68,71,146,149,153,156,172,191,195,198,209,213,221,233,237,240,243,247,256,317,324,328,336,406,409,429,433,436,496,502,506,601,604,633,636,777,795,834,837,910,914,917,937,940,969,972,1034,1037,1068,1076],[22,23,25],"h2",{"id":24},"tldr","TL;DR",[27,28,33,41],"div",{"className":29},[30,31,32],"card","p-5","my-4",[34,35,36,40],"p",{},[37,38,39],"strong",{},"一句话："," Dify 是开源 LLMOps 平台的事实标准。GitHub 13 万 star、累计 100 万+ 生产 app（据 chatforest.com 2026 评测引用 Dify 官方数据），把\"可视化工作流编排 + RAG 知识库 + Agent + MCP 协议\"打包成一个 Docker Compose 能跑起来的东西。",[34,42,43,44,47,48,53],{},"最大价值是 ",[37,45,46],{},"完全开源 + 模型不挑食","——同一个工作流里同时调 OpenAI、Anthropic、Ollama 本地、DeepSeek、Qwen 都行。代价是部署比 ",[49,50,52],"a",{"href":51},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze"," 折腾，新手得读 1-2 小时文档。",[55,56,57],"blockquote",{},[34,58,59],{},"来源说明：本文基于 docs.dify.ai 官方文档、langgenius\u002Fdify GitHub 仓库、第三方评测（besthub.dev \u002F chatforest.com \u002F joshuaopolko.com \u002F zhihu 知名专栏）综合归纳。版本号会变，部署要求请以官方最新文档为准。",[22,61,62],{"id":62},"核心特性",[64,65,67],"h3",{"id":66},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[34,69,70],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[72,73,74,90],"table",{},[75,76,77],"thead",{},[78,79,80,84,87],"tr",{},[81,82,83],"th",{},"类型",[81,85,86],{},"适合场景",[81,88,89],{},"编排范式",[91,92,93,107,120,133],"tbody",{},[78,94,95,101,104],{},[96,97,98],"td",{},[37,99,100],{},"Chatbot",[96,102,103],{},"简单对话机器人",[96,105,106],{},"prompt + tools",[78,108,109,114,117],{},[96,110,111],{},[37,112,113],{},"Agent",[96,115,116],{},"自主多步任务",[96,118,119],{},"ReAct \u002F Function Calling",[78,121,122,127,130],{},[96,123,124],{},[37,125,126],{},"Chatflow",[96,128,129],{},"对话型工作流（多轮 + 分支）",[96,131,132],{},"节点 DAG，带聊天上下文",[78,134,135,140,143],{},[96,136,137],{},[37,138,139],{},"Workflow",[96,141,142],{},"单次输入→输出（API 模式）",[96,144,145],{},"节点 DAG，无对话状态",[34,147,148],{},"节点类型覆盖：LLM、知识检索、HTTP 请求、代码执行（Python \u002F JS）、条件分支、迭代、变量聚合、参数提取、问题分类——满足\"用拖拽实现可观测的 LLM pipeline\"。",[64,150,152],{"id":151},"rag-知识库","RAG 知识库",[34,154,155],{},"内置完整 RAG 链路：",[157,158,159,163,166,169],"ol",{},[160,161,162],"li",{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[160,164,165],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[160,167,168],{},"混合检索（向量 + 全文 + 重排）",[160,170,171],{},"引用溯源（回答末尾自动附原文片段）",[34,173,174,175,181,182,185,186,190],{},"注意：根据 ",[49,176,180],{"href":177,"rel":178},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[179],"nofollow","知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[37,183,184],{},"社区版默认是基础语义检索","，企业版才解锁多路召回 + 重排。RAG 极致精度场景仍推荐 ",[49,187,189],{"href":188},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT","（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[64,192,194],{"id":193},"模型生态40-提供商","模型生态：40+ 提供商",[34,196,197],{},"Dify 通过插件市场接入主流模型——OpenAI、Anthropic、Google Gemini、Azure、AWS Bedrock、Cohere、xAI、DeepSeek、Qwen、智谱、文心、豆包、月之暗面、Ollama、LM Studio、Replicate、Together AI、OpenRouter……几乎你能数出来的 LLM 提供商都在。",[34,199,200,201,203,204,208],{},"国产模型原生支持（不像 ",[49,202,189],{"href":188}," 需要 ",[49,205,207],{"href":206},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[64,210,212],{"id":211},"mcp-协议支持","MCP 协议支持",[34,214,215,216,220],{},"Dify 较早接入了 ",[49,217,219],{"href":218},"\u002Fwiki\u002Fmcp.html","MCP（Model Context Protocol）","，工作流可以直接调 MCP Server 暴露的 tools。意味着你可以让 Dify 工作流：",[222,223,224,227,230],"ul",{},[160,225,226],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[160,228,229],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[160,231,232],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[64,234,236],{"id":235},"api-first","API-first",[34,238,239],{},"每个 app 自动暴露 REST API，参数和返回结构自动生成 OpenAPI Schema。集成到自家产品里不需要写包装代码，给前端 \u002F 微信小程序 \u002F 飞书机器人调用都方便。",[22,241,242],{"id":242},"价格与运行成本",[64,244,246],{"id":245},"云版difyai","云版（dify.ai）",[34,248,249,250,255],{},"根据 ",[49,251,254],{"href":252,"rel":253},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[179],"tooljunction.io 2026 评测"," 引用的官方定价：",[72,257,258,271],{},[75,259,260],{},[78,261,262,265,268],{},[81,263,264],{},"套餐",[81,266,267],{},"价格",[81,269,270],{},"主要限制",[91,272,273,284,295,306],{},[78,274,275,278,281],{},[96,276,277],{},"Sandbox",[96,279,280],{},"免费",[96,282,283],{},"200 次模型调用，1 app，5MB 知识库",[78,285,286,289,292],{},[96,287,288],{},"Professional",[96,290,291],{},"$59\u002F月起",[96,293,294],{},"5000 调用\u002F月，多 app，50MB 知识库",[78,296,297,300,303],{},[96,298,299],{},"Team",[96,301,302],{},"$159\u002F月起",[96,304,305],{},"团队协作、SSO",[78,307,308,311,314],{},[96,309,310],{},"Enterprise",[96,312,313],{},"联系销售",[96,315,316],{},"定制 SLA、私有云",[34,318,319,320,323],{},"注意：云版价格只是 Dify 平台费，",[37,321,322],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[64,325,327],{"id":326},"自托管推荐","自托管（推荐）",[34,329,330,335],{},[49,331,334],{"href":332,"rel":333},"https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",[179],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[337,338,343],"pre",{"className":339,"code":340,"language":341,"meta":342,"style":342},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n","bash","",[344,345,346,362,372,384,399],"code",{"__ignoreMap":342},[347,348,351,355,359],"span",{"class":349,"line":350},"line",1,[347,352,354],{"class":353},"sScJk","git",[347,356,358],{"class":357},"sZZnC"," clone",[347,360,361],{"class":357}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[347,363,365,369],{"class":349,"line":364},2,[347,366,368],{"class":367},"sj4cs","cd",[347,370,371],{"class":357}," dify\u002Fdocker\n",[347,373,375,378,381],{"class":349,"line":374},3,[347,376,377],{"class":353},"cp",[347,379,380],{"class":357}," .env.example",[347,382,383],{"class":357}," .env\n",[347,385,387,390,393,396],{"class":349,"line":386},4,[347,388,389],{"class":353},"docker",[347,391,392],{"class":357}," compose",[347,394,395],{"class":357}," up",[347,397,398],{"class":367}," -d\n",[347,400,402],{"class":349,"line":401},5,[347,403,405],{"class":404},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[34,407,408],{},"硬件门槛（社区共识，非官方硬性要求）：",[222,410,411,417,423],{},[160,412,413,416],{},[37,414,415],{},"最低","：2 核 4G，纯外接 API 模式",[160,418,419,422],{},[37,420,421],{},"推荐","：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[160,424,425,428],{},[37,426,427],{},"企业","：8 核 16G+，单机日活上千",[64,430,432],{"id":431},"真实-tco","真实 TCO",[34,434,435],{},"按一家中小团队 3 年场景估算（基于上面引用的多份评测交叉对比）：",[72,437,438,451],{},[75,439,440],{},[78,441,442,445,448],{},[81,443,444],{},"成本项",[81,446,447],{},"云版 Professional",[81,449,450],{},"自托管",[91,452,453,464,474,485],{},[78,454,455,458,461],{},[96,456,457],{},"平台费",[96,459,460],{},"~$2,100（3 年）",[96,462,463],{},"$0",[78,465,466,469,471],{},[96,467,468],{},"服务器",[96,470,463],{},[96,472,473],{},"~$50\u002F月 × 36 = $1,800",[78,475,476,479,482],{},[96,477,478],{},"模型 API",[96,480,481],{},"与下同",[96,483,484],{},"与上同",[78,486,487,490,493],{},[96,488,489],{},"运维人力",[96,491,492],{},"0",[96,494,495],{},"约 0.2 人月",[34,497,498,501],{},[37,499,500],{},"结论","：日活 \u003C 100 用云版省心；> 500 或数据敏感场景自托管 ROI 更好。",[22,503,505],{"id":504},"上手-10-分钟","上手 10 分钟",[337,507,509],{"className":339,"code":508,"language":341,"meta":342,"style":342},"# 1. 自托管（社区版）\ngit clone https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\ncd dify\u002Fdocker\ncp .env.example .env\ndocker compose up -d\n\n# 2. 浏览器打开 http:\u002F\u002Flocalhost\n#    首次会让你创建 admin 账号\n\n# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n\n# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[344,510,511,516,524,530,538,548,555,561,567,572,578,583,589,595],{"__ignoreMap":342},[347,512,513],{"class":349,"line":350},[347,514,515],{"class":404},"# 1. 自托管（社区版）\n",[347,517,518,520,522],{"class":349,"line":364},[347,519,354],{"class":353},[347,521,358],{"class":357},[347,523,361],{"class":357},[347,525,526,528],{"class":349,"line":374},[347,527,368],{"class":367},[347,529,371],{"class":357},[347,531,532,534,536],{"class":349,"line":386},[347,533,377],{"class":353},[347,535,380],{"class":357},[347,537,383],{"class":357},[347,539,540,542,544,546],{"class":349,"line":401},[347,541,389],{"class":353},[347,543,392],{"class":357},[347,545,395],{"class":357},[347,547,398],{"class":367},[347,549,551],{"class":349,"line":550},6,[347,552,554],{"emptyLinePlaceholder":553},true,"\n",[347,556,558],{"class":349,"line":557},7,[347,559,560],{"class":404},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[347,562,564],{"class":349,"line":563},8,[347,565,566],{"class":404},"#    首次会让你创建 admin 账号\n",[347,568,570],{"class":349,"line":569},9,[347,571,554],{"emptyLinePlaceholder":553},[347,573,575],{"class":349,"line":574},10,[347,576,577],{"class":404},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[347,579,581],{"class":349,"line":580},11,[347,582,554],{"emptyLinePlaceholder":553},[347,584,586],{"class":349,"line":585},12,[347,587,588],{"class":404},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[347,590,592],{"class":349,"line":591},13,[347,593,594],{"class":404},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[347,596,598],{"class":349,"line":597},14,[347,599,600],{"class":404},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[22,602,603],{"id":603},"国内使用注意事项",[157,605,606,612,618,624],{},[160,607,608,611],{},[37,609,610],{},"云版 dify.ai 直连国内访问稳定但需要付款","——支持国际信用卡 \u002F Stripe",[160,613,614,617],{},[37,615,616],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[160,619,620,623],{},[37,621,622],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[160,625,626,629,630,632],{},[37,627,628],{},"数据合规","：完全自托管时，数据零外泄；某些金融 \u002F 政府客户因此从 ",[49,631,52],{"href":51}," 迁到 Dify",[22,634,635],{"id":635},"与同类怎么选",[72,637,638,661],{},[75,639,640],{},[78,641,642,645,647,651,655],{},[81,643,644],{},"维度",[81,646,12],{},[81,648,649],{},[49,650,52],{"href":51},[81,652,653],{},[49,654,189],{"href":188},[81,656,657],{},[49,658,660],{"href":659},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[91,662,663,679,692,708,722,736,750,763],{},[78,664,665,668,671,674,676],{},[96,666,667],{},"开源",[96,669,670],{},"✅",[96,672,673],{},"❌",[96,675,670],{},[96,677,678],{},"✅（fair-code）",[78,680,681,684,686,688,690],{},[96,682,683],{},"私有部署",[96,685,670],{},[96,687,673],{},[96,689,670],{},[96,691,670],{},[78,693,694,697,700,703,705],{},[96,695,696],{},"上手难度",[96,698,699],{},"★★★☆☆",[96,701,702],{},"★★☆☆☆ 最简单",[96,704,699],{},[96,706,707],{},"★★★★☆",[78,709,710,713,716,718,720],{},[96,711,712],{},"工作流编排",[96,714,715],{},"★★★★★",[96,717,707],{},[96,719,699],{},[96,721,715],{},[78,723,724,727,729,731,733],{},[96,725,726],{},"RAG 精度",[96,728,707],{},[96,730,699],{},[96,732,715],{},[96,734,735],{},"★★☆☆☆",[78,737,738,741,743,745,748],{},[96,739,740],{},"模型生态",[96,742,715],{},[96,744,707],{},[96,746,747],{},"★★★☆☆（OneAPI 中转）",[96,749,707],{},[78,751,752,755,757,759,761],{},[96,753,754],{},"中文场景",[96,756,707],{},[96,758,715],{},[96,760,707],{},[96,762,699],{},[78,764,765,768,770,773,775],{},[96,766,767],{},"字节生态绑定",[96,769,673],{},[96,771,772],{},"✅（飞书\u002F抖音深度集成）",[96,774,673],{},[96,776,673],{},[34,778,779,782,783,788,789,794],{},[37,780,781],{},"怎么选","（基于 ",[49,784,787],{"href":785,"rel":786},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[179],"BestHub 2025-07"," 和 ",[49,790,793],{"href":791,"rel":792},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[179],"博客园 2026-01"," 两份选型指南综合）：",[222,796,797,803,811,818,825],{},[160,798,799,802],{},[37,800,801],{},"数据必须不出内网 + 工作流复杂"," → Dify",[160,804,805,808,809],{},[37,806,807],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态"," → ",[49,810,52],{"href":51},[160,812,813,808,816],{},[37,814,815],{},"核心场景就是企业知识库 QA",[49,817,189],{"href":188},[160,819,820,808,823],{},[37,821,822],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[49,824,660],{"href":659},[160,826,827,808,830],{},[37,828,829],{},"要画图式表达 LangChain pipeline",[49,831,833],{"href":832},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow",[22,835,836],{"id":836},"避坑清单",[222,838,839,845,862,873,886,892,898,904],{},[160,840,841,844],{},[37,842,843],{},"社区版与企业版差距比想象大","：多路召回 \u002F 重排序 \u002F 单点登录 \u002F 审计日志都在企业版。社区版做生产前心里要有数。",[160,846,847,853,854,857,858,861],{},[37,848,849,852],{},[344,850,851],{},".env"," 文件改完忘 restart","：",[344,855,856],{},"docker compose down && up -d","，不是 ",[344,859,860],{},"restart","——后者不重新加载 env。",[160,863,864,853,867,872],{},[37,865,866],{},"大版本升级会破坏数据库 schema",[49,868,871],{"href":869,"rel":870},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[179],"官方升级文档"," 有详细 migration 步骤，跨大版本（如 0.x → 1.x）务必先备份 PostgreSQL 卷。生产环境强烈建议跑 staging 完整验证后再升。",[160,874,875,878,879,881,882,885],{},[37,876,877],{},"RAG 文件大小社区版默认 15MB","：根据上述知乎实测，超过会失败。改 ",[344,880,851],{}," 的 ",[344,883,884],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[160,887,888,891],{},[37,889,890],{},"代码节点的 Sandbox 性能差","：内置代码执行节点跑在隔离容器里启动慢、内存小。生产高频用建议改成 HTTP 节点调外部服务。",[160,893,894,897],{},[37,895,896],{},"工作流\"迭代节点\"循环上限","：默认 10 次，复杂 ReAct agent 容易撞天花板，需要在节点设置里调高。",[160,899,900,903],{},[37,901,902],{},"Dify Plugin 系统是新东西","：1.0 后引入的 Plugin 体系替代了原来的 Tools\u002FModels 配置方式，老教程可能已过时——以最新官方文档为准。",[160,905,906,909],{},[37,907,908],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[22,911,913],{"id":912},"适合-不适合","适合 \u002F 不适合",[34,915,916],{},"✅ 适合：",[222,918,919,922,925,928,931,934],{},[160,920,921],{},"中大型企业 LLM 中台建设",[160,923,924],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[160,926,927],{},"想做\"AI 工作流即产品\"的开发团队",[160,929,930],{},"同时需要 RAG + Agent + Workflow 三件套",[160,932,933],{},"想用国产模型 + 国际模型混合编排",[160,935,936],{},"已经接受 Docker + 一定运维投入",[34,938,939],{},"❌ 不适合：",[222,941,942,948,954,957,963],{},[160,943,944,945,947],{},"纯个人玩家做对话机器人（",[49,946,52],{"href":51}," 更快）",[160,949,950,951,953],{},"只想做企业知识库 QA（",[49,952,189],{"href":188}," RAG 更专）",[160,955,956],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[160,958,959,960,962],{},"需要深度对接字节飞书 \u002F 抖音（",[49,961,52],{"href":51}," 原生）",[160,964,965,966,968],{},"工作流核心是连接 100+ SaaS（",[49,967,660],{"href":659}," 节点更全）",[22,970,971],{"id":971},"相关阅读",[222,973,974,986,1004,1023],{},[160,975,976,977,979,980,979,982,979,984],{},"同类对比：",[49,978,52],{"href":51}," \u002F ",[49,981,189],{"href":188},[49,983,660],{"href":659},[49,985,833],{"href":832},[160,987,988,989,979,993,979,997,979,1000],{},"概念基础：",[49,990,992],{"href":991},"\u002Fwiki\u002Fai-agent.html","AI Agent",[49,994,996],{"href":995},"\u002Fwiki\u002Frag.html","RAG",[49,998,999],{"href":218},"MCP",[49,1001,1003],{"href":1002},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[160,1005,1006,1007,979,1011,979,1015,979,1019],{},"模型选型：",[49,1008,1010],{"href":1009},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[49,1012,1014],{"href":1013},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[49,1016,1018],{"href":1017},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[49,1020,1022],{"href":1021},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[160,1024,1025,1026,979,1030],{},"进阶：",[49,1027,1029],{"href":1028},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[49,1031,1033],{"href":1032},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[22,1035,1036],{"id":1036},"来源",[222,1038,1039,1046,1052,1058,1065],{},[160,1040,1041,1042],{},"官网：",[49,1043,1044],{"href":1044,"rel":1045},"https:\u002F\u002Fdify.ai",[179],[160,1047,1048,1049],{},"中文文档：",[49,1050,869],{"href":869,"rel":1051},[179],[160,1053,1054,1055],{},"GitHub：",[49,1056,332],{"href":332,"rel":1057},[179],[160,1059,1060,1061],{},"官方定价：",[49,1062,1063],{"href":1063,"rel":1064},"https:\u002F\u002Fdify.ai\u002Fpricing",[179],[160,1066,1067],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[34,1069,1070,1071,1075],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现版本号 \u002F 价格 \u002F 功能与最新官方信息不一致，请通过 ",[49,1072,1074],{"href":1073},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",[1077,1078,1079],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":342,"searchDepth":374,"depth":374,"links":1081},[1082,1083,1090,1095,1096,1097,1098,1099,1100,1101],{"id":24,"depth":364,"text":25},{"id":62,"depth":364,"text":62,"children":1084},[1085,1086,1087,1088,1089],{"id":66,"depth":374,"text":67},{"id":151,"depth":374,"text":152},{"id":193,"depth":374,"text":194},{"id":211,"depth":374,"text":212},{"id":235,"depth":374,"text":236},{"id":242,"depth":364,"text":242,"children":1091},[1092,1093,1094],{"id":245,"depth":374,"text":246},{"id":326,"depth":374,"text":327},{"id":431,"depth":374,"text":432},{"id":504,"depth":364,"text":505},{"id":603,"depth":364,"text":603},{"id":635,"depth":364,"text":635},{"id":836,"depth":364,"text":836},{"id":912,"depth":364,"text":913},{"id":971,"depth":364,"text":971},{"id":1036,"depth":364,"text":1036},"platform","\u002Fimg\u002Ftools\u002Fdify.webp","Dify 2026 真实评测：开源 LLMOps 与 AI Agent 平台，集工作流编排、RAG 知识库、Agent、MCP 和多模型接入于一体。本文对比 Coze、FastGPT、n8n，整理自托管部署、云版价格、适合团队和避坑建议。",false,"md",[1108,1109,1110],"zh","en","ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify","agent",[1115,1116,1117,389],"windows","macos","linux",[1119,1123,1127,1131],{"plan":1120,"price":463,"features":1121,"notes":1122},"Self-hosted（开源版）","Docker 一键部署 + 全部核心功能（工作流 \u002F RAG \u002F Agent \u002F MCP）+ 接任意模型 API","私有部署 \u002F 完全免费 \u002F Apache 2.0",{"plan":1124,"price":463,"features":1125,"notes":1126},"Cloud Sandbox（免费云）","官方托管试水档，含基础调用配额","免运维 \u002F 试水 POC",{"plan":1128,"price":291,"features":1129,"notes":1130},"Cloud Professional","更高调用额度 + 团队协作 + 商用支持","商用云首选",{"plan":1132,"price":1133,"features":1134,"notes":313},"Cloud Team \u002F Enterprise","Custom","更大配额 + SLA + 私有部署支持 + 合规","云版 SaaS（免费档 \u002F Professional $59\u002F月起） + 开源自托管完全免费","2026-06-18",[1138,1139,1140,1141],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":401,"ux":386,"price":401,"cn_support":386,"stability":386},{"title":12,"description":1104},"Dify 评测 2026：开源 LLMOps 与 AI Agent 平台，自托管指南","agent\u002Fplatform\u002Fdify",[1147,1149,1151,1153,1155],{"title":1148,"url":869},"Dify 官方文档（中文）",{"title":1150,"url":332},"Dify GitHub",{"title":1152,"url":1063},"Dify 官方定价",{"title":1154,"url":785},"Coze vs Dify vs FastGPT 选型",{"title":1156,"url":1157},"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",[1161,1162,1163,1164,1165,1166,1167],"agent-platform","opensource","self-host","rag","workflow","llmops","mcp","2026-06-24","想私有部署、想接全球任意模型，Dify 是答案。比 Coze 工程化、上手陡一点；比 FastGPT 工作流强、RAG 略弱。","p5aiXfjt5rD0m3qxj903DVwZMIONVWKdagLa7niYhcE",{"id":1172,"title":1173,"alternatives":1174,"api_compatible":1177,"body":1178,"category":2052,"chinese_friendly":386,"cover":2053,"description":2054,"domestic":1105,"extension":1106,"faq":9,"free":1105,"github":9,"languages":2055,"lastVerified":9,"meta":2056,"models":2057,"navigation":553,"notSuitable":2062,"opensource":1105,"path":2067,"pillar":1113,"platforms":2068,"priceTable":2070,"pricing":2086,"published":1136,"relatedPlaybooks":2087,"relatedReviews":2089,"score":2093,"self_host":1105,"seo":2094,"seoTitle":9,"slug":2095,"sources":2096,"stem":2112,"suitable":2113,"tagline":2119,"tags":2120,"updated":1168,"verdict":2127,"website":1557,"__hash__":2128},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[1175,1176,1145],"agent\u002Fgeneral\u002Fgenspark","coding\u002Fagent\u002Fdevin",[],{"type":19,"value":1179,"toc":2032},[1180,1182,1215,1220,1223,1287,1289,1293,1301,1306,1313,1317,1325,1391,1396,1400,1407,1411,1419,1424,1440,1443,1446,1449,1456,1458,1464,1523,1529,1535,1540,1546,1550,1593,1595,1635,1637,1806,1811,1828,1833,1853,1855,1921,1923,1925,1942,1944,1965,1967,2009,2011,2027],[22,1181,25],{"id":24},[27,1183,1185,1200],{"className":1184},[30,31,32],[34,1186,1187,1189,1190,1193,1194,1199],{},[37,1188,39],{}," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[37,1191,1192],{},"邀请码一度被炒到 ¥5 万-10 万","（",[49,1195,1198],{"href":1196,"rel":1197},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[179],"据维基百科引用 China Daily 报道","）。多 sub-agent 并行架构——浏览、数据分析、代码执行、写作各自专门子 agent，主 orchestrator 自动路由到 Claude \u002F Qwen \u002F 自研模型，结果合成交付。",[34,1201,1202,1203,1193,1206,1210,1211,1214],{},"2025-12 传被 ",[37,1204,1205],{},"Meta 以约 20-30 亿美元收购",[49,1207,1209],{"href":1196,"rel":1208},[179],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[37,1212,1213],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[55,1216,1217],{},[34,1218,1219],{},"来源说明：本文基于 manus.im 官方页面、Wikipedia \"Manus (AI agent)\" 条目、第三方评测（Pick Right \u002F HyzenPro \u002F Info-Tech Research Group \u002F 36Kr \u002F 世界经济论坛企业页）综合整理。Meta 收购案细节、产品路线图仍在变化中，请以最新官方公告为准。",[22,1221,1222],{"id":1222},"背景与公司",[222,1224,1225,1236,1242,1248,1254,1265,1275,1281],{},[160,1226,1227,1230,1231,1235],{},[37,1228,1229],{},"公司","：Butterfly Effect Pte. Ltd.（",[49,1232,1234],{"href":1196,"rel":1233},[179],"蝴蝶效应","），创始人 Xiao Hong（季逸超 Ji Yichao 为 Manus 联合创始人 + 首席科学家）",[160,1237,1238,1241],{},[37,1239,1240],{},"公司位置","：办公室在北京 + 武汉 + 新加坡，目标市场北美 \u002F 日本 \u002F 韩国（不主打中国大陆）",[160,1243,1244,1247],{},[37,1245,1246],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[160,1249,1250,1253],{},[37,1251,1252],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[160,1255,1256,1259,1260,1264],{},[37,1257,1258],{},"Manus 启动","：2024-10 立项，灵感来自 ",[49,1261,1263],{"href":1262},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[160,1266,1267,1270,1271],{},[37,1268,1269],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[49,1272,1274],{"href":1196,"rel":1273},[179],"Demo 视频 20 小时百万播放",[160,1276,1277,1280],{},[37,1278,1279],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[160,1282,1283,1286],{},[37,1284,1285],{},"Meta 收购","：2025-12-29 宣布，估值 20-30 亿美元，目前仍独立运营，但中国大陆已被屏蔽访问 + 关闭中文社交账号",[22,1288,62],{"id":62},[64,1290,1292],{"id":1291},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[34,1294,1295,1300],{},[49,1296,1299],{"href":1297,"rel":1298},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[179],"Pick Right 2026-04 评测"," 描述的架构：",[55,1302,1303],{},[34,1304,1305],{},"\"Where most general-purpose AI products use one model end-to-end, Manus runs multiple specialized sub-agents in parallel: one handles web browsing, one handles data analysis, one handles code execution, one handles synthesis and writing.\"",[34,1307,1308,1309,1312],{},"主 orchestrator 给每一步选最合适的模型（Claude \u002F Qwen \u002F 自研），结果合成。这是 Manus 研究输出 ",[37,1310,1311],{},"引用密度更高、幻觉更少","的工程根源——分工 + 并行让每个 sub-agent 只做自己最擅长的部分。",[64,1314,1316],{"id":1315},"通用-agent-模式","通用 Agent 模式",[34,1318,1319,1324],{},[49,1320,1323],{"href":1321,"rel":1322},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[179],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[72,1326,1327,1337],{},[75,1328,1329],{},[78,1330,1331,1334],{},[81,1332,1333],{},"模型",[81,1335,1336],{},"GAIA 准确率",[91,1338,1339,1351,1359,1367,1375,1383],{},[78,1340,1341,1346],{},[96,1342,1343],{},[37,1344,1345],{},"Manus AI",[96,1347,1348],{},[37,1349,1350],{},">65%（SOTA）",[78,1352,1353,1356],{},[96,1354,1355],{},"H2O.ai (h2oGPTe)",[96,1357,1358],{},"65%",[78,1360,1361,1364],{},[96,1362,1363],{},"Google Langfun",[96,1365,1366],{},"49%",[78,1368,1369,1372],{},[96,1370,1371],{},"Microsoft o1",[96,1373,1374],{},"38%",[78,1376,1377,1380],{},[96,1378,1379],{},"OpenAI GPT-4o",[96,1381,1382],{},"32%",[78,1384,1385,1388],{},[96,1386,1387],{},"OpenAI GPT-4 + Plugins",[96,1389,1390],{},"15-30%",[55,1392,1393],{},[34,1394,1395],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[64,1397,1399],{"id":1398},"后台执行-长任务","后台执行 + 长任务",[34,1401,1402,1403,1406],{},"最特别的体验：任务下达后",[37,1404,1405],{},"可以关掉浏览器","，Manus 在云端继续跑（小时级），完成时通知。这种\"开着任务下班\"的模式是它 viral 的关键。",[64,1408,1410],{"id":1409},"web-app-builder","Web App Builder",[34,1412,1413,1414,1418],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[49,1415,1417],{"href":1297,"rel":1416},[179],"Pick Right 评测"," 直白警告：",[55,1420,1421],{},[34,1422,1423],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[34,1425,1426,1427,979,1431,979,1435,1439],{},"复杂场景下出 bug 多，目前不建议生产部署，",[49,1428,1430],{"href":1429},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new",[49,1432,1434],{"href":1433},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[49,1436,1438],{"href":1437},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[64,1441,1442],{"id":1442},"桌面应用",[34,1444,1445],{},"提供 desktop app，能读本地文件 + 集成你的机器，不仅限于浏览器内任务。",[64,1447,1448],{"id":1448},"多模型路由",[34,1450,1451,1452,1455],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[37,1453,1454],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[22,1457,242],{"id":242},[34,1459,1460,1463],{},[49,1461,1417],{"href":1297,"rel":1462},[179]," 公开档位：",[72,1465,1466,1478],{},[75,1467,1468],{},[78,1469,1470,1473,1475],{},[81,1471,1472],{},"档位",[81,1474,267],{},[81,1476,1477],{},"关键点",[91,1479,1480,1490,1501,1512],{},[78,1481,1482,1485,1487],{},[96,1483,1484],{},"Free",[96,1486,463],{},[96,1488,1489],{},"每日有限 credits，够 1 个高强度任务\u002F天",[78,1491,1492,1495,1498],{},[96,1493,1494],{},"Pro",[96,1496,1497],{},"$20\u002F月",[96,1499,1500],{},"大多数付费用户落点；中等 credit + 多模型",[78,1502,1503,1506,1509],{},[96,1504,1505],{},"Plus",[96,1507,1508],{},"$50\u002F月",[96,1510,1511],{},"更高 credit + 优先队列，10+ 任务\u002F周",[78,1513,1514,1517,1520],{},[96,1515,1516],{},"Pro+ \u002F Team",[96,1518,1519],{},"最高 $200\u002F月",[96,1521,1522],{},"最大 credit + 团队空间（功能仍有限）",[34,1524,1525,1528],{},[37,1526,1527],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[34,1530,1531,853],{},[49,1532,1534],{"href":1297,"rel":1533},[179],"Pick Right 真实使用反馈",[55,1536,1537],{},[34,1538,1539],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[34,1541,1542,1545],{},[37,1543,1544],{},"预算建议","：先用 Free 跑 3-5 个真实任务评估消耗速度，再决定档位。",[22,1547,1549],{"id":1548},"上手-5-分钟","上手 5 分钟",[157,1551,1552,1560,1563,1578,1581,1587,1590],{},[160,1553,1554,1555],{},"打开 ",[49,1556,1559],{"href":1557,"rel":1558},"https:\u002F\u002Fmanus.im",[179],"manus.im",[160,1561,1562],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[160,1564,1565,1566,1569,1570],{},"给一个完整任务描述（",[37,1567,1568],{},"关键","：不要碎片化指令，给全场景）\n",[337,1571,1576],{"className":1572,"code":1574,"language":1575},[1573],"language-text","\"调研欧洲前 10 大 EV 充电网络（覆盖率、价格、可靠性、充电速度），\n产出带引用的 Markdown 对比表\"\n","text",[344,1577,1574],{"__ignoreMap":342},[160,1579,1580],{},"选模型路由（Auto 推荐）",[160,1582,1583,1584,1586],{},"提交后",[37,1585,1405],{},"——任务在云端跑",[160,1588,1589],{},"完成后邮件 \u002F 站内通知",[160,1591,1592],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[22,1594,603],{"id":603},[157,1596,1597,1607,1613,1619],{},[160,1598,1599,853,1602,1606],{},[37,1600,1601],{},"大陆访问被屏蔽",[49,1603,1605],{"href":1196,"rel":1604},[179],"Wikipedia 引用 36Kr 报道","，Butterfly Effect 已关闭中文社交账号、阻断中国大陆访问，原 Alibaba Qwen 合作版\"中文版 Manus\"已搁置",[160,1608,1609,1612],{},[37,1610,1611],{},"访问需稳定代理","：日韩 \u002F 美国节点",[160,1614,1615,1618],{},[37,1616,1617],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[160,1620,1621,1624,1625,1629,1630,1634],{},[37,1622,1623],{},"替代路径","：国内可考虑 ",[49,1626,1628],{"href":1627},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark"," \u002F Devv \u002F ",[49,1631,1633],{"href":1632},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[22,1636,635],{"id":635},[72,1638,1639,1663],{},[75,1640,1641],{},[78,1642,1643,1645,1647,1653,1657,1660],{},[81,1644,644],{},[81,1646,1173],{},[81,1648,1649],{},[49,1650,1652],{"href":1651},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[81,1654,1655],{},[49,1656,1628],{"href":1627},[81,1658,1659],{},"ChatGPT Deep Research",[81,1661,1662],{},"GenAgent",[91,1664,1665,1685,1705,1721,1736,1752,1769,1787],{},[78,1666,1667,1670,1673,1676,1679,1682],{},[96,1668,1669],{},"核心定位",[96,1671,1672],{},"通用 Agent",[96,1674,1675],{},"AI 程序员",[96,1677,1678],{},"AI 搜索 + Agent",[96,1680,1681],{},"LLM Deep Research",[96,1683,1684],{},"通用",[78,1686,1687,1690,1693,1696,1699,1702],{},[96,1688,1689],{},"架构",[96,1691,1692],{},"多 sub-agent 并行",[96,1694,1695],{},"单 Agent + 沙盒",[96,1697,1698],{},"多模型",[96,1700,1701],{},"单模型",[96,1703,1704],{},"—",[78,1706,1707,1710,1713,1715,1717,1719],{},[96,1708,1709],{},"长任务",[96,1711,1712],{},"★★★★★ 小时级",[96,1714,715],{},[96,1716,699],{},[96,1718,707],{},[96,1720,699],{},[78,1722,1723,1726,1728,1730,1732,1734],{},[96,1724,1725],{},"引用密度",[96,1727,715],{},[96,1729,699],{},[96,1731,707],{},[96,1733,699],{},[96,1735,699],{},[78,1737,1738,1741,1744,1746,1748,1750],{},[96,1739,1740],{},"App Builder",[96,1742,1743],{},"⚠️ 有但 buggy",[96,1745,673],{},[96,1747,673],{},[96,1749,673],{},[96,1751,673],{},[78,1753,1754,1757,1760,1763,1765,1767],{},[96,1755,1756],{},"中文",[96,1758,1759],{},"⚠️ 大陆屏蔽",[96,1761,1762],{},"⚠️",[96,1764,715],{},[96,1766,1762],{},[96,1768,707],{},[78,1770,1771,1773,1776,1779,1782,1785],{},[96,1772,267],{},[96,1774,1775],{},"$20-$200",[96,1777,1778],{},"$500\u002F月",[96,1780,1781],{},"$24.99\u002F月",[96,1783,1784],{},"随 ChatGPT Plus",[96,1786,1704],{},[78,1788,1789,1791,1794,1797,1800,1803],{},[96,1790,86],{},[96,1792,1793],{},"research \u002F 数据分析",[96,1795,1796],{},"写代码 \u002F 修 bug",[96,1798,1799],{},"信息检索",[96,1801,1802],{},"单次深度研究",[96,1804,1805],{},"综合",[34,1807,1808,853],{},[37,1809,1810],{},"选 Manus 如果你",[222,1812,1813,1819,1822,1825],{},[160,1814,1815,1816],{},"重视 research \u002F 数据分析任务的 ",[37,1817,1818],{},"引用密度和结构化输出",[160,1820,1821],{},"想试\"开任务下班、明早看结果\"的工作流",[160,1823,1824],{},"海外 \u002F 能解决账号网络问题",[160,1826,1827],{},"预算 $20-$50\u002F月，重度用户",[34,1829,1830,853],{},[37,1831,1832],{},"别选 Manus 如果你",[222,1834,1835,1844,1847,1850],{},[160,1836,1837,1838,979,1840,1843],{},"国内裸用（",[49,1839,1628],{"href":1627},[49,1841,1842],{"href":1632},"Yuanbao"," 更顺）",[160,1845,1846],{},"想生产部署 App（Web App Builder bug 多）",[160,1848,1849],{},"团队协作场景（功能不完善）",[160,1851,1852],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[22,1854,836],{"id":836},[222,1856,1857,1863,1873,1879,1885,1897,1903,1909],{},[160,1858,1859,1862],{},[37,1860,1861],{},"大陆访问已被官方屏蔽","：2025 年起阻断中国大陆访问，原\"中文版 Manus\"项目搁置",[160,1864,1865,853,1868,1872],{},[37,1866,1867],{},"credit 烧得比官方页面暗示的快",[49,1869,1871],{"href":1297,"rel":1870},[179],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[160,1874,1875,1878],{},[37,1876,1877],{},"任务一启动无法控预算","：开始跑后只能 cancel 或等结束，credits 会一直消耗",[160,1880,1881,1884],{},[37,1882,1883],{},"Web App Builder 别上生产","：demo 漂亮，复杂场景翻车，Bolt.new \u002F Lovable \u002F v0 仍是生产部署更稳选项",[160,1886,1887,1890,1891,1896],{},[37,1888,1889],{},"每次任务从零开始","：没有持久 workspace，不像 ",[49,1892,1895],{"href":1893,"rel":1894},"https:\u002F\u002Fclaude.com",[179],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[160,1898,1899,1902],{},[37,1900,1901],{},"没有 HubSpot \u002F Salesforce \u002F Notion \u002F Slack 集成","：拿到结果后要自己手动搬到工具栈",[160,1904,1905,1908],{},[37,1906,1907],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[160,1910,1911,1914,1915,1920],{},[37,1912,1913],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[49,1916,1919],{"href":1917,"rel":1918},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[179],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[22,1922,913],{"id":912},[34,1924,916],{},[222,1926,1927,1930,1933,1936,1939],{},[160,1928,1929],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[160,1931,1932],{},"CSV \u002F Excel 重的数据分析任务",[160,1934,1935],{},"长任务 + 不想盯着看（小时级）",[160,1937,1938],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[160,1940,1941],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[34,1943,939],{},[222,1945,1946,1949,1952,1955,1958],{},[160,1947,1948],{},"生产级应用部署",[160,1950,1951],{},"团队协作工作流",[160,1953,1954],{},"预算极敏感（free 档非常受限）",[160,1956,1957],{},"大陆稳定访问需求",[160,1959,1960,1961,1964],{},"需要深度持久上下文（用 ",[49,1962,1895],{"href":1893,"rel":1963},[179]," \u002F ChatGPT Custom GPT 等）",[22,1966,971],{"id":971},[222,1968,1969,1979,1988,2001],{},[160,1970,976,1971,979,1973,1975,1976,1978],{},[49,1972,1652],{"href":1651},[49,1974,1628],{"href":1627}," \u002F Elicit \u002F ",[49,1977,1842],{"href":1632}," \u002F Metaso",[160,1980,1981,1982,979,1984,1987],{},"概念：",[49,1983,992],{"href":991},[49,1985,1986],{"href":991},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[160,1989,1990,1991,979,1993,979,1997],{},"模型：",[49,1992,1014],{"href":1013},[49,1994,1996],{"href":1995},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[49,1998,2000],{"href":1999},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[160,2002,1025,2003,979,2005],{},[49,2004,1033],{"href":1032},[49,2006,2008],{"href":2007},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[22,2010,1036],{"id":1036},[222,2012,2013,2018,2021,2024],{},[160,2014,1041,2015],{},[49,2016,1557],{"href":1557,"rel":2017},[179],[160,2019,2020],{},"Wikipedia：\"Manus (AI agent)\" 条目",[160,2022,2023],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[160,2025,2026],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[34,2028,2029,2030,1075],{},"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 公司状态与最新官方信息不一致，请通过 ",[49,2031,1074],{"href":1073},{"title":342,"searchDepth":374,"depth":374,"links":2033},[2034,2035,2036,2044,2045,2046,2047,2048,2049,2050,2051],{"id":24,"depth":364,"text":25},{"id":1222,"depth":364,"text":1222},{"id":62,"depth":364,"text":62,"children":2037},[2038,2039,2040,2041,2042,2043],{"id":1291,"depth":374,"text":1292},{"id":1315,"depth":374,"text":1316},{"id":1398,"depth":374,"text":1399},{"id":1409,"depth":374,"text":1410},{"id":1442,"depth":374,"text":1442},{"id":1448,"depth":374,"text":1448},{"id":242,"depth":364,"text":242},{"id":1548,"depth":364,"text":1549},{"id":603,"depth":364,"text":603},{"id":635,"depth":364,"text":635},{"id":836,"depth":364,"text":836},{"id":912,"depth":364,"text":913},{"id":971,"depth":364,"text":971},{"id":1036,"depth":364,"text":1036},"general","\u002Fimg\u002Ftools\u002Fmanus.webp","Manus 真实评测：Butterfly Effect（蝴蝶效应）出品的通用 AI Agent，多 sub-agent 并行架构 + 多模型路由（Claude \u002F Qwen \u002F 自研）。2025-03 首发即引爆，2025-12 传被 Meta 以约 20 亿美元收购。AIHO 编辑部基于官方文档与多份评测整理。",[1108,1109],{},[2058,2059,2060,2061],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[2063,2064,2065,2066],"生产级 Web App 部署（Web App Builder 仍有 bug）","团队协作场景（功能未完善）","需要持久工作空间 \u002F 跨会话上下文","对成本极敏感（credits 烧得快）","\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus",[2069,1115,1116,1117],"web",[2071,2074,2078,2081],{"plan":1484,"price":463,"limit":2072,"cn_pay":1704,"note":2073},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1494,"price":1497,"limit":2075,"cn_pay":2076,"note":2077},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":1505,"price":1508,"limit":2079,"cn_pay":1762,"note":2080},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":2082,"price":2083,"limit":2084,"cn_pay":1762,"note":2085},"Pro+\u002FTeam","$200\u002F月","最大 credit + 团队工作空间（功能受限）","团队功能仍有限","Free \u002F Pro $20\u002Fmo \u002F Plus $50\u002Fmo \u002F Pro+ Team 最高 $200\u002Fmo",[2088],"onboarding\u002Fmanus-getting-started",[2090,2091,2092],"manus-deep-review","autoglm-deep-review","openmanus-deep-review",{"power":401,"ux":401,"price":374,"cn_support":386,"stability":374},{"title":1173,"description":2054},"agent\u002Fgeneral\u002Fmanus",[2097,2099,2102,2104,2106,2109],{"title":2098,"url":1557},"Manus 官网",{"title":2100,"url":2101},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":2103,"url":1297},"Manus AI Review 2026 (Pick Right)",{"title":2105,"url":1321},"Info-Tech Manus Assessment",{"title":2107,"url":2108},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":2110,"url":2111},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[2114,2115,2116,2117,2118],"需要委托多步骤研究 \u002F 报告（带引用密度的 deep research）","数据分析（CSV \u002F Excel 重的任务）","需要","调研类工作（市场调研、竞品对比、文献综述）","对 Computer Use 类 Agent 实践有兴趣的人","通用 Agent 体感天花板，自主完成复杂多步骤任务",[2121,2122,2123,2124,2125,2126],"general-agent","autonomous","computer-use","multi-agent","butterfly-effect","monica","通用 Agent 体感天花板代表。多 sub-agent 并行 + 自动模型路由让 research \u002F 数据分析输出明显比 ChatGPT Deep Research 引用密度更高。慢、credit 烧得快、Web App Builder 仍有 bug，但任务跑通时确实让人惊艳。","eyJqahR6DX9l6_pQYL_4x1vkxUceuqDmRoNSlam9S0c",1784565440383]