[{"data":1,"prerenderedAt":3662},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"review-ai-agent-platforms-2026-landscape":9,"review-related-ai-agent-platforms-2026-landscape":741},{"tools":4,"reviews":5},75,34,{"tools":4,"reviews":5,"playbooks":7,"news":8},33,27,{"id":10,"title":11,"body":12,"cover":702,"description":703,"extension":704,"lastVerified":705,"meta":706,"navigation":720,"path":721,"published":705,"relatedTools":722,"seo":728,"seoTitle":729,"stem":730,"tags":731,"updated":705,"verdict":739,"__hash__":740},"review\u002Freview\u002Fai-agent-platforms-2026-landscape.md","2026 年 AI Agent 平台全景图：14 款实测对比",{"type":13,"value":14,"toc":689},"minimark",[15,19,28,62,65,68,174,178,273,277,345,349,582,588,592,630,634,645,648,684],[16,17,18],"h2",{"id":18},"一句话结论",[20,21,22,23,27],"p",{},"2026 年的 AI Agent 平台已经从「能搭 Bot」进化到「能编排工作流、接知识库、私有部署、发布多渠道」。我们实测了 14 款，结论是",[24,25,26],"strong",{},"按桶选型","：",[29,30,31,38,44,50,56],"ul",{},[32,33,34,37],"li",{},[24,35,36],{},"要私有部署 \u002F 复杂工作流"," → Dify（开源 LLMOps 事实标准）",[32,39,40,43],{},[24,41,42],{},"要最快出 Bot \u002F 发飞书微信"," → Coze（零代码、字节生态）",[32,45,46,49],{},[24,47,48],{},"要深度定制 \u002F 接 100+ SaaS"," → n8n \u002F Langflow",[32,51,52,55],{},[24,53,54],{},"要通用多步骤任务"," → Manus \u002F OpenManus",[32,57,58,61],{},[24,59,60],{},"要从底层自搭框架"," → CrewAI \u002F AutoGen",[20,63,64],{},"没有通吃方案，先问自己 5 个问题（见决策树）。",[16,66,67],{"id":67},"桶分类",[69,70,71,90],"table",{},[72,73,74],"thead",{},[75,76,77,81,84,87],"tr",{},[78,79,80],"th",{},"桶",[78,82,83],{},"代表",[78,85,86],{},"形态",[78,88,89],{},"适合",[91,92,93,110,126,142,158],"tbody",{},[75,94,95,101,104,107],{},[96,97,98],"td",{},[24,99,100],{},"低代码平台",[96,102,103],{},"Coze、Dify、FastGPT、Yuanqi、AnythingLLM",[96,105,106],{},"可视化拖拽",[96,108,109],{},"非技术 \u002F 快速上线",[75,111,112,117,120,123],{},[96,113,114],{},[24,115,116],{},"通用 Agent",[96,118,119],{},"Manus、OpenManus、Genspark、Flowith、Perplexity",[96,121,122],{},"自主多步任务",[96,124,125],{},"research \u002F 数据分析",[75,127,128,133,136,139],{},[96,129,130],{},[24,131,132],{},"桌面 Agent",[96,134,135],{},"AutoGLM、OpenClaw、Crush、Open Interpreter",[96,137,138],{},"本地 \u002F 计算机操作",[96,140,141],{},"自动化桌面任务",[75,143,144,149,152,155],{},[96,145,146],{},[24,147,148],{},"MCP 协议",[96,150,151],{},"Composio、Smithery、MCP Toolbox",[96,153,154],{},"工具连接层",[96,156,157],{},"让 Agent 调外部 API",[75,159,160,165,168,171],{},[96,161,162],{},[24,163,164],{},"框架",[96,166,167],{},"CrewAI、AutoGen、Langflow、n8n",[96,169,170],{},"building block",[96,172,173],{},"开发者自搭",[16,175,177],{"id":176},"_6-大决策维度","6 大决策维度",[69,179,180,193],{},[72,181,182],{},[75,183,184,187,190],{},[78,185,186],{},"维度",[78,188,189],{},"问自己",[78,191,192],{},"推荐",[91,194,195,208,221,234,247,260],{},[75,196,197,202,205],{},[96,198,199],{},[24,200,201],{},"开源",[96,203,204],{},"要不要改源码 \u002F 审计",[96,206,207],{},"Dify、n8n、Langflow、OpenManus（MIT）",[75,209,210,215,218],{},[96,211,212],{},[24,213,214],{},"私有部署",[96,216,217],{},"数据能不能出网",[96,219,220],{},"Dify、FastGPT、n8n（Coze 仅企业版有限）",[75,222,223,228,231],{},[96,224,225],{},[24,226,227],{},"模型选择",[96,229,230],{},"要不要混用国内外模型",[96,232,233],{},"Dify（40+ provider）、Coze（豆包\u002FDeepSeek\u002FClaude）",[75,235,236,241,244],{},[96,237,238],{},[24,239,240],{},"工作流编排",[96,242,243],{},"逻辑多复杂",[96,245,246],{},"Dify（DAG）、n8n（节点）、Coze（可视化）",[75,248,249,254,257],{},[96,250,251],{},[24,252,253],{},"知识库 RAG",[96,255,256],{},"问答精度要求",[96,258,259],{},"FastGPT（最专）、Dify（工作流强）、Coze（够用）",[75,261,262,267,270],{},[96,263,264],{},[24,265,266],{},"发布渠道",[96,268,269],{},"发到哪",[96,271,272],{},"Coze（飞书\u002F抖音\u002F微信）、Dify（API）、n8n（SaaS）",[16,274,276],{"id":275},"选型决策树先问-5-个问题","选型决策树（先问 5 个问题）",[278,279,280,293,306,319,332],"ol",{},[32,281,282,285],{},[24,283,284],{},"数据能不能出内网？",[29,286,287,290],{},[32,288,289],{},"不能 → Dify \u002F FastGPT 自托管",[32,291,292],{},"能 → 继续",[32,294,295,298],{},[24,296,297],{},"有没有技术团队？",[29,299,300,303],{},[32,301,302],{},"没有 \u002F 非技术 → Coze（最快）",[32,304,305],{},"有 → 继续",[32,307,308,311],{},[24,309,310],{},"要私有部署还是纯 SaaS？",[29,312,313,316],{},[32,314,315],{},"私有部署 → Dify \u002F n8n",[32,317,318],{},"SaaS 够 → Coze \u002F Manus",[32,320,321,324],{},[24,322,323],{},"核心任务是 Bot 还是通用任务？",[29,325,326,329],{},[32,327,328],{},"对话 Bot \u002F 知识库 QA → Dify \u002F Coze \u002F FastGPT",[32,330,331],{},"多步骤 research \u002F 数据分析 → Manus \u002F OpenManus",[32,333,334,337],{},[24,335,336],{},"要深度定制还是开箱即用？",[29,338,339,342],{},[32,340,341],{},"深度定制 → n8n \u002F Langflow \u002F CrewAI",[32,343,344],{},"开箱即用 → Coze \u002F Dify",[16,346,348],{"id":347},"top-14-速查卡","Top 14 速查卡",[69,350,351,368],{},[72,352,353],{},[75,354,355,358,361,364,366],{},[78,356,357],{},"工具",[78,359,360],{},"综合分",[78,362,363],{},"定位",[78,365,201],{},[78,367,214],{},[91,369,370,386,403,418,434,449,464,479,495,509,523,538,553,568],{},[75,371,372,375,378,381,384],{},[96,373,374],{},"Dify",[96,376,377],{},"4.6",[96,379,380],{},"开源 LLMOps 事实标准",[96,382,383],{},"✅",[96,385,383],{},[75,387,388,391,394,397,400],{},[96,389,390],{},"Coze",[96,392,393],{},"4.4",[96,395,396],{},"零代码 Bot 最快",[96,398,399],{},"❌",[96,401,402],{},"⚠️ 企业版",[75,404,405,408,411,414,416],{},[96,406,407],{},"Manus",[96,409,410],{},"4.5",[96,412,413],{},"通用 Agent 天花板",[96,415,399],{},[96,417,399],{},[75,419,420,423,426,429,432],{},[96,421,422],{},"OpenManus",[96,424,425],{},"4.3",[96,427,428],{},"开源 Manus 复刻",[96,430,431],{},"✅ MIT",[96,433,383],{},[75,435,436,439,441,444,447],{},[96,437,438],{},"n8n",[96,440,425],{},[96,442,443],{},"工作流连接 100+ SaaS",[96,445,446],{},"✅ fair-code",[96,448,383],{},[75,450,451,454,457,460,462],{},[96,452,453],{},"FastGPT",[96,455,456],{},"4.2",[96,458,459],{},"企业知识库 QA 最专",[96,461,383],{},[96,463,383],{},[75,465,466,469,472,475,477],{},[96,467,468],{},"Langflow",[96,470,471],{},"4.1",[96,473,474],{},"画图式 LangChain",[96,476,383],{},[96,478,383],{},[75,480,481,484,487,490,492],{},[96,482,483],{},"CrewAI",[96,485,486],{},"4.0",[96,488,489],{},"多 Agent 协作框架",[96,491,383],{},[96,493,494],{},"—",[75,496,497,500,502,505,507],{},[96,498,499],{},"AutoGen",[96,501,486],{},[96,503,504],{},"微软多 Agent 框架",[96,506,383],{},[96,508,494],{},[75,510,511,514,516,519,521],{},[96,512,513],{},"Genspark",[96,515,486],{},[96,517,518],{},"国内通用 Agent",[96,520,399],{},[96,522,399],{},[75,524,525,528,531,534,536],{},[96,526,527],{},"Flowith",[96,529,530],{},"3.9",[96,532,533],{},"多模态 Agent",[96,535,399],{},[96,537,399],{},[75,539,540,543,546,549,551],{},[96,541,542],{},"AnythingLLM",[96,544,545],{},"3.8",[96,547,548],{},"桌面知识库",[96,550,383],{},[96,552,383],{},[75,554,555,558,560,563,565],{},[96,556,557],{},"Yuanqi（元器）",[96,559,545],{},[96,561,562],{},"腾讯系 Bot",[96,564,399],{},[96,566,567],{},"⚠️",[75,569,570,573,575,578,580],{},[96,571,572],{},"Composio",[96,574,530],{},[96,576,577],{},"MCP 工具连接层",[96,579,383],{},[96,581,494],{},[583,584,585],"blockquote",{},[20,586,587],{},"综合分是 AIHO 编辑部加权观点，基于公开评测 + 工具卡数据，非厂商数据。",[16,589,591],{"id":590},"_2026-趋势","2026 趋势",[278,593,594,606,612,618,624],{},[32,595,596,599,600,605],{},[24,597,598],{},"MCP 标准化","：Anthropic 的 MCP 成事实标准，工具互调统一（见 ",[601,602,604],"a",{"href":603},"\u002Fplaybook\u002Fai-agent\u002Fmcp-from-zero.html","MCP 实战","）。",[32,607,608,611],{},[24,609,610],{},"Skills 市场","：Claude Skills \u002F Cursor Rules Hub 让「能力」可分发复用。",[32,613,614,617],{},[24,615,616],{},"A2A 协议","：Agent-to-Agent 协作，多 Agent 跨平台通信。",[32,619,620,623],{},[24,621,622],{},"RAG 精度军备赛","：rerank + 多路召回成标配，FastGPT \u002F Dify 持续迭代。",[32,625,626,629],{},[24,627,628],{},"国产模型原生支持","：Dify \u002F Coze 直接接 DeepSeek \u002F Qwen \u002F 文心，免去中转。",[16,631,633],{"id":632},"aiho-观点平台会分层不会一家独大","AIHO 观点：平台会分层，不会一家独大",[20,635,636,637,640,641,644],{},"底层（模型 + MCP）在标准化，中层（工作流编排）在收敛到 Dify \u002F n8n，上层（Bot 发布）Coze 靠生态绑定。但",[24,638,639],{},"企业数据合规、个人创作自由、通用任务自动化","是三种根本不同的需求，会被不同工具满足。选型第一原则：",[24,642,643],{},"先定「数据能不能出网 + 有没有技术团队」，再谈功能","。",[16,646,647],{"id":647},"相关阅读",[29,649,650,666,677],{},[32,651,652,653,657,658,657,662],{},"对比：",[601,654,656],{"href":655},"\u002Fcompare\u002Fcoze-vs-dify.html","Coze vs Dify"," ｜ ",[601,659,661],{"href":660},"\u002Fcompare\u002Fdify-vs-n8n.html","Dify vs n8n",[601,663,665],{"href":664},"\u002Fcompare\u002Fmanus-vs-openmanus.html","Manus vs OpenManus",[32,667,668,669,657,673],{},"方案：",[601,670,672],{"href":671},"\u002Fplaybook\u002Fai-agent\u002Fbuild-rag-bot-with-coze.html","用 Coze 搭问答 Bot",[601,674,676],{"href":675},"\u002Fplaybook\u002Fai-agent\u002Fdify-self-host-knowledge-base.html","Dify 私有部署知识库",[32,678,679,680],{},"编程全景：",[601,681,683],{"href":682},"\u002Freview\u002Fai-coding-tools-2026-landscape.html","2026 AI 编程工具全景图",[583,685,686],{},[20,687,688],{},"来源说明：本文基于各平台官方页面、GitHub 仓库及 AIHO 编辑部实测归纳。市场变化快，排名为编辑部观点，请以最新官方信息为准。",{"title":690,"searchDepth":691,"depth":691,"links":692},"",3,[693,695,696,697,698,699,700,701],{"id":18,"depth":694,"text":18},2,{"id":67,"depth":694,"text":67},{"id":176,"depth":694,"text":177},{"id":275,"depth":694,"text":276},{"id":347,"depth":694,"text":348},{"id":590,"depth":694,"text":591},{"id":632,"depth":694,"text":633},{"id":647,"depth":694,"text":647},null,"2026 年 AI Agent 平台全景图：14 款平台按低代码 \u002F 通用 Agent \u002F 桌面 Agent \u002F MCP 协议 \u002F 框架分桶，6 大决策维度（开源 \u002F 私有部署 \u002F 模型 \u002F 工作流 \u002F 知识库 \u002F 发布），选型决策树，Top 14 速查卡与 2026 趋势（MCP 标准化、Skills 市场、A2A 协议）。","md","2026-08-02",{"sources":707},[708,711,714,717],{"title":709,"url":710},"Dify GitHub","https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify",{"title":712,"url":713},"Coze 官方文档","https:\u002F\u002Fdocs.coze.com",{"title":715,"url":716},"Manus 官网","https:\u002F\u002Fmanus.im",{"title":718,"url":719},"n8n 官网","https:\u002F\u002Fn8n.io",true,"\u002Freview\u002Fai-agent-platforms-2026-landscape",[723,724,725,726,727],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Fcoze","agent\u002Fgeneral\u002Fmanus","agent\u002Fplatform\u002Fn8n","agent\u002Fplatform\u002Flangflow",{"title":11,"description":703},"2026 年 AI Agent 平台对比：14 款实测、6 大决策维度与选型决策树","review\u002Fai-agent-platforms-2026-landscape",[732,733,734,735,736,737,738],"ai-agent","平台","全景图",2026,"dify","coze","manus","2026 年 Agent 平台按「要私有部署选 Dify、要最快出 Bot 选 Coze、要深度定制选 n8n\u002FLangflow、要通用任务选 Manus\u002FOpenManus、要框架自搭选 CrewAI\u002FAutoGen」分桶选型，没有通吃方案。","_5faxqEjmKNcEbytVECsFfrCkaa_euIhg2KHzvdkK3w",[742,1743,2620],{"id":743,"title":407,"alternatives":744,"api_compatible":747,"body":748,"category":1655,"chinese_friendly":1656,"cover":1657,"description":1658,"domestic":1659,"extension":704,"faq":702,"free":720,"github":702,"languages":1660,"lastVerified":705,"meta":1663,"models":1664,"navigation":720,"notSuitable":1669,"opensource":1659,"path":1674,"pillar":1675,"platforms":1676,"priceTable":1681,"pricing":1697,"published":1698,"relatedPlaybooks":1699,"relatedReviews":1701,"score":1706,"self_host":1659,"seo":1708,"seoTitle":1709,"slug":725,"sources":1710,"stem":1725,"suitable":1726,"tagline":1732,"tags":1733,"updated":1740,"verdict":1741,"website":716,"__hash__":1742},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md",[745,746,723],"agent\u002Fgeneral\u002Fgenspark","coding\u002Fagent\u002Fdevin",[],{"type":13,"value":749,"toc":1635},[750,754,792,797,800,864,867,872,880,885,892,896,904,970,975,979,986,990,998,1003,1020,1023,1026,1029,1036,1039,1045,1106,1112,1118,1123,1129,1133,1177,1180,1219,1222,1391,1396,1413,1418,1438,1441,1507,1511,1514,1531,1534,1555,1557,1607,1610,1627],[16,751,753],{"id":752},"tldr","TL;DR",[755,756,761,778],"div",{"className":757},[758,759,760],"card","p-5","my-4",[20,762,763,766,767,770,771,777],{},[24,764,765],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[24,768,769],{},"邀请码一度被炒到 ¥5 万-10 万","（",[601,772,776],{"href":773,"rel":774},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[775],"nofollow","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。",[20,779,780,781,770,784,788,789,644],{},"2025-12 传被 ",[24,782,783],{},"Meta 以约 20-30 亿美元收购",[601,785,787],{"href":773,"rel":786},[775],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[24,790,791],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research",[583,793,794],{},[20,795,796],{},"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。",[16,798,799],{"id":799},"背景与公司",[29,801,802,813,819,825,831,842,852,858],{},[32,803,804,807,808,812],{},[24,805,806],{},"公司","：Butterfly Effect Pte. Ltd.（",[601,809,811],{"href":773,"rel":810},[775],"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）",[32,814,815,818],{},[24,816,817],{},"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）",[32,820,821,824],{},[24,822,823],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[32,826,827,830],{},[24,828,829],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[32,832,833,836,837,841],{},[24,834,835],{},"Manus 启动","：2024-10 立项，灵感来自 ",[601,838,840],{"href":839},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[32,843,844,847,848],{},[24,845,846],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[601,849,851],{"href":773,"rel":850},[775],"Demo 视频 20 小时百万播放",[32,853,854,857],{},[24,855,856],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[32,859,860,863],{},[24,861,862],{},"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",[16,865,866],{"id":866},"核心特性",[868,869,871],"h3",{"id":870},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[20,873,874,879],{},[601,875,878],{"href":876,"rel":877},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[775],"Pick Right 2026-04 评测"," 描述的架构：",[583,881,882],{},[20,883,884],{},"\"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.\"",[20,886,887,888,891],{},"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 ",[24,889,890],{},"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。",[868,893,895],{"id":894},"通用-agent-模式","通用 Agent 模式",[20,897,898,903],{},[601,899,902],{"href":900,"rel":901},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[775],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[69,905,906,916],{},[72,907,908],{},[75,909,910,913],{},[78,911,912],{},"模型",[78,914,915],{},"GAIA 准确率",[91,917,918,930,938,946,954,962],{},[75,919,920,925],{},[96,921,922],{},[24,923,924],{},"Manus AI",[96,926,927],{},[24,928,929],{},">65%（SOTA）",[75,931,932,935],{},[96,933,934],{},"H2O.ai (h2oGPTe)",[96,936,937],{},"65%",[75,939,940,943],{},[96,941,942],{},"Google Langfun",[96,944,945],{},"49%",[75,947,948,951],{},[96,949,950],{},"Microsoft o1",[96,952,953],{},"38%",[75,955,956,959],{},[96,957,958],{},"OpenAI GPT-4o",[96,960,961],{},"32%",[75,963,964,967],{},[96,965,966],{},"OpenAI GPT-4 + Plugins",[96,968,969],{},"15-30%",[583,971,972],{},[20,973,974],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[868,976,978],{"id":977},"后台执行-长任务","后台执行 + 长任务",[20,980,981,982,985],{},"最特别的体验：任务下达后",[24,983,984],{},"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。",[868,987,989],{"id":988},"web-app-builder","Web App Builder",[20,991,992,993,997],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[601,994,996],{"href":876,"rel":995},[775],"Pick Right 评测"," 直白警告：",[583,999,1000],{},[20,1001,1002],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[20,1004,1005,1006,1010,1011,1010,1015,1019],{},"复杂场景下出 bug 多，目前不建议生产部署，",[601,1007,1009],{"href":1008},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[601,1012,1014],{"href":1013},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[601,1016,1018],{"href":1017},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[868,1021,1022],{"id":1022},"桌面应用",[20,1024,1025],{},"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。",[868,1027,1028],{"id":1028},"多模型路由",[20,1030,1031,1032,1035],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[24,1033,1034],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[16,1037,1038],{"id":1038},"价格与运行成本",[20,1040,1041,1044],{},[601,1042,996],{"href":876,"rel":1043},[775]," 公开档位：",[69,1046,1047,1060],{},[72,1048,1049],{},[75,1050,1051,1054,1057],{},[78,1052,1053],{},"档位",[78,1055,1056],{},"价格",[78,1058,1059],{},"关键点",[91,1061,1062,1073,1084,1095],{},[75,1063,1064,1067,1070],{},[96,1065,1066],{},"Free",[96,1068,1069],{},"$0",[96,1071,1072],{},"每日有限 credits，够 1 个高强度任务\u002F天",[75,1074,1075,1078,1081],{},[96,1076,1077],{},"Pro",[96,1079,1080],{},"$20\u002F月",[96,1082,1083],{},"大多数付费用户落点；中等 credit + 多模型",[75,1085,1086,1089,1092],{},[96,1087,1088],{},"Plus",[96,1090,1091],{},"$50\u002F月",[96,1093,1094],{},"更高 credit + 优先队列，10+ 任务\u002F周",[75,1096,1097,1100,1103],{},[96,1098,1099],{},"Pro+ \u002F Team",[96,1101,1102],{},"最高 $200\u002F月",[96,1104,1105],{},"最大 credit + 团队空间（功能仍有限）",[20,1107,1108,1111],{},[24,1109,1110],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[20,1113,1114,27],{},[601,1115,1117],{"href":876,"rel":1116},[775],"Pick Right 真实使用反馈",[583,1119,1120],{},[20,1121,1122],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[20,1124,1125,1128],{},[24,1126,1127],{},"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。",[16,1130,1132],{"id":1131},"上手-5-分钟","上手 5 分钟",[278,1134,1135,1142,1145,1162,1165,1171,1174],{},[32,1136,1137,1138],{},"打开 ",[601,1139,1141],{"href":716,"rel":1140},[775],"manus.im",[32,1143,1144],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[32,1146,1147,1148,1151,1152],{},"给一个完整任务描述（",[24,1149,1150],{},"关键","：不要碎片化指令，给全场景）\n",[1153,1154,1159],"pre",{"className":1155,"code":1157,"language":1158},[1156],"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",[1160,1161,1157],"code",{"__ignoreMap":690},[32,1163,1164],{},"选模型路由（Auto 推荐）",[32,1166,1167,1168,1170],{},"提交后",[24,1169,984],{},"——任务在云端跑",[32,1172,1173],{},"完成后邮件 \u002F 站内通知",[32,1175,1176],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[16,1178,1179],{"id":1179},"国内使用注意事项",[278,1181,1182,1192,1198,1204],{},[32,1183,1184,27,1187,1191],{},[24,1185,1186],{},"大陆访问被屏蔽",[601,1188,1190],{"href":773,"rel":1189},[775],"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",[32,1193,1194,1197],{},[24,1195,1196],{},"访问需稳定代理","：日韩 \u002F 美国节点",[32,1199,1200,1203],{},[24,1201,1202],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[32,1205,1206,1209,1210,1213,1214,1218],{},[24,1207,1208],{},"替代路径","：国内可考虑 ",[601,1211,513],{"href":1212},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[601,1215,1217],{"href":1216},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[16,1220,1221],{"id":1221},"与同类怎么选",[69,1223,1224,1248],{},[72,1225,1226],{},[75,1227,1228,1230,1232,1238,1242,1245],{},[78,1229,186],{},[78,1231,407],{},[78,1233,1234],{},[601,1235,1237],{"href":1236},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[78,1239,1240],{},[601,1241,513],{"href":1212},[78,1243,1244],{},"ChatGPT Deep Research",[78,1246,1247],{},"GenAgent",[91,1249,1250,1269,1288,1307,1322,1338,1354,1372],{},[75,1251,1252,1255,1257,1260,1263,1266],{},[96,1253,1254],{},"核心定位",[96,1256,116],{},[96,1258,1259],{},"AI 程序员",[96,1261,1262],{},"AI 搜索 + Agent",[96,1264,1265],{},"LLM Deep Research",[96,1267,1268],{},"通用",[75,1270,1271,1274,1277,1280,1283,1286],{},[96,1272,1273],{},"架构",[96,1275,1276],{},"多 sub-agent 并行",[96,1278,1279],{},"单 Agent + 沙盒",[96,1281,1282],{},"多模型",[96,1284,1285],{},"单模型",[96,1287,494],{},[75,1289,1290,1293,1296,1299,1302,1305],{},[96,1291,1292],{},"长任务",[96,1294,1295],{},"★★★★★ 小时级",[96,1297,1298],{},"★★★★★",[96,1300,1301],{},"★★★☆☆",[96,1303,1304],{},"★★★★☆",[96,1306,1301],{},[75,1308,1309,1312,1314,1316,1318,1320],{},[96,1310,1311],{},"引用密度",[96,1313,1298],{},[96,1315,1301],{},[96,1317,1304],{},[96,1319,1301],{},[96,1321,1301],{},[75,1323,1324,1327,1330,1332,1334,1336],{},[96,1325,1326],{},"App Builder",[96,1328,1329],{},"⚠️ 有但 buggy",[96,1331,399],{},[96,1333,399],{},[96,1335,399],{},[96,1337,399],{},[75,1339,1340,1343,1346,1348,1350,1352],{},[96,1341,1342],{},"中文",[96,1344,1345],{},"⚠️ 大陆屏蔽",[96,1347,567],{},[96,1349,1298],{},[96,1351,567],{},[96,1353,1304],{},[75,1355,1356,1358,1361,1364,1367,1370],{},[96,1357,1056],{},[96,1359,1360],{},"$20-$200",[96,1362,1363],{},"$500\u002F月",[96,1365,1366],{},"$24.99\u002F月",[96,1368,1369],{},"随 ChatGPT Plus",[96,1371,494],{},[75,1373,1374,1377,1379,1382,1385,1388],{},[96,1375,1376],{},"适合场景",[96,1378,125],{},[96,1380,1381],{},"写代码 \u002F 修 bug",[96,1383,1384],{},"信息检索",[96,1386,1387],{},"单次深度研究",[96,1389,1390],{},"综合",[20,1392,1393,27],{},[24,1394,1395],{},"选 Manus 如果你",[29,1397,1398,1404,1407,1410],{},[32,1399,1400,1401],{},"重视 research \u002F 数据分析任务的 ",[24,1402,1403],{},"引用密度和结构化输出",[32,1405,1406],{},"想试\"开任务下班、明早看结果\"的工作流",[32,1408,1409],{},"海外 \u002F 能解决账号网络问题",[32,1411,1412],{},"预算 $20-$50\u002F月，重度用户",[20,1414,1415,27],{},[24,1416,1417],{},"别选 Manus 如果你",[29,1419,1420,1429,1432,1435],{},[32,1421,1422,1423,1010,1425,1428],{},"国内裸用（",[601,1424,513],{"href":1212},[601,1426,1427],{"href":1216},"Yuanbao"," 更顺）",[32,1430,1431],{},"想生产部署 App（Web App Builder bug 多）",[32,1433,1434],{},"团队协作场景（功能不完善）",[32,1436,1437],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[16,1439,1440],{"id":1440},"避坑清单",[29,1442,1443,1449,1459,1465,1471,1483,1489,1495],{},[32,1444,1445,1448],{},[24,1446,1447],{},"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",[32,1450,1451,27,1454,1458],{},[24,1452,1453],{},"credit 烧得比官方页面暗示的快",[601,1455,1457],{"href":876,"rel":1456},[775],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[32,1460,1461,1464],{},[24,1462,1463],{},"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",[32,1466,1467,1470],{},[24,1468,1469],{},"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",[32,1472,1473,1476,1477,1482],{},[24,1474,1475],{},"每次任务从零开始","：没有持久 workspace，不像 ",[601,1478,1481],{"href":1479,"rel":1480},"https:\u002F\u002Fclaude.com",[775],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[32,1484,1485,1488],{},[24,1486,1487],{},"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",[32,1490,1491,1494],{},[24,1492,1493],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[32,1496,1497,1500,1501,1506],{},[24,1498,1499],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[601,1502,1505],{"href":1503,"rel":1504},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[775],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[16,1508,1510],{"id":1509},"适合-不适合","适合 \u002F 不适合",[20,1512,1513],{},"✅ 适合：",[29,1515,1516,1519,1522,1525,1528],{},[32,1517,1518],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[32,1520,1521],{},"CSV \u002F Excel 重的数据分析任务",[32,1523,1524],{},"长任务 + 不想盯着看（小时级）",[32,1526,1527],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[32,1529,1530],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[20,1532,1533],{},"❌ 不适合：",[29,1535,1536,1539,1542,1545,1548],{},[32,1537,1538],{},"生产级应用部署",[32,1540,1541],{},"团队协作工作流",[32,1543,1544],{},"预算极敏感（free 档非常受限）",[32,1546,1547],{},"大陆稳定访问需求",[32,1549,1550,1551,1554],{},"需要深度持久上下文（用 ",[601,1552,1481],{"href":1479,"rel":1553},[775]," \u002F ChatGPT Custom GPT 等）",[16,1556,647],{"id":647},[29,1558,1559,1570,1581,1596],{},[32,1560,1561,1562,1010,1564,1566,1567,1569],{},"同类对比：",[601,1563,1237],{"href":1236},[601,1565,513],{"href":1212}," \u002F Elicit \u002F ",[601,1568,1427],{"href":1216}," \u002F Metaso",[32,1571,1572,1573,1010,1577,1580],{},"概念：",[601,1574,1576],{"href":1575},"\u002Fwiki\u002Fai-agent.html","AI Agent",[601,1578,1579],{"href":1575},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[32,1582,1583,1584,1010,1588,1010,1592],{},"模型：",[601,1585,1587],{"href":1586},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[601,1589,1591],{"href":1590},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[601,1593,1595],{"href":1594},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[32,1597,1598,1599,1010,1603],{},"进阶：",[601,1600,1602],{"href":1601},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[601,1604,1606],{"href":1605},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[16,1608,1609],{"id":1609},"来源",[29,1611,1612,1618,1621,1624],{},[32,1613,1614,1615],{},"官网：",[601,1616,716],{"href":716,"rel":1617},[775],[32,1619,1620],{},"Wikipedia：\"Manus (AI agent)\" 条目",[32,1622,1623],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[32,1625,1626],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[20,1628,1629,1630,1634],{},"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 ",[601,1631,1633],{"href":1632},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":690,"searchDepth":691,"depth":691,"links":1636},[1637,1638,1639,1647,1648,1649,1650,1651,1652,1653,1654],{"id":752,"depth":694,"text":753},{"id":799,"depth":694,"text":799},{"id":866,"depth":694,"text":866,"children":1640},[1641,1642,1643,1644,1645,1646],{"id":870,"depth":691,"text":871},{"id":894,"depth":691,"text":895},{"id":977,"depth":691,"text":978},{"id":988,"depth":691,"text":989},{"id":1022,"depth":691,"text":1022},{"id":1028,"depth":691,"text":1028},{"id":1038,"depth":694,"text":1038},{"id":1131,"depth":694,"text":1132},{"id":1179,"depth":694,"text":1179},{"id":1221,"depth":694,"text":1221},{"id":1440,"depth":694,"text":1440},{"id":1509,"depth":694,"text":1510},{"id":647,"depth":694,"text":647},{"id":1609,"depth":694,"text":1609},"general",4,"\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。",false,[1661,1662],"zh","en",{},[1665,1666,1667,1668],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[1670,1671,1672,1673],"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","agent",[1677,1678,1679,1680],"web","windows","macos","linux",[1682,1685,1689,1692],{"plan":1066,"price":1069,"limit":1683,"cn_pay":494,"note":1684},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1077,"price":1080,"limit":1686,"cn_pay":1687,"note":1688},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":1088,"price":1091,"limit":1690,"cn_pay":567,"note":1691},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":1693,"price":1694,"limit":1695,"cn_pay":567,"note":1696},"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","2026-06-18",[1700],"onboarding\u002Fmanus-getting-started",[1702,1703,1704,1705],"manus-deep-review","manus-deep-dive","autoglm-deep-review","openmanus-deep-review",{"power":1707,"ux":1707,"price":691,"cn_support":1656,"stability":691},5,{"title":407,"description":1658},"Manus AI Agent 评测 2026：通用 AI 智能体，自主完成任务，对比 Devin",[1711,1712,1715,1717,1719,1722],{"title":715,"url":716},{"title":1713,"url":1714},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":1716,"url":876},"Manus AI Review 2026 (Pick Right)",{"title":1718,"url":900},"Info-Tech Manus Assessment",{"title":1720,"url":1721},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":1723,"url":1724},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[1727,1728,1729,1730,1731],"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",[1734,1735,1736,1737,1738,1739],"general-agent","autonomous","computer-use","multi-agent","butterfly-effect","monica","2026-06-24","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。","1dOSVsQ_BSu9w2N5lqKey8yMGVvHtb5FhgIpmpQY758",{"id":1744,"title":390,"alternatives":1745,"api_compatible":1748,"body":1755,"category":2546,"chinese_friendly":1707,"cover":2547,"description":2548,"domestic":720,"extension":704,"faq":702,"free":720,"github":702,"languages":2549,"lastVerified":705,"meta":2550,"models":2551,"navigation":720,"notSuitable":2556,"opensource":1659,"path":2560,"pillar":1675,"platforms":2561,"priceTable":2562,"pricing":2582,"published":1698,"relatedPlaybooks":2583,"relatedReviews":2585,"score":2590,"self_host":1659,"seo":2591,"seoTitle":2592,"slug":724,"sources":2593,"stem":2603,"suitable":2604,"tagline":2610,"tags":2611,"updated":1740,"verdict":2618,"website":1772,"__hash__":2619},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md",[723,1746,1747],"agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fyuanqi",[1749,1750,1751,1752,1753,1754],"OpenAI","Anthropic","百度文心","阿里通义","Moonshot Kimi","字节豆包",{"type":13,"value":1756,"toc":2530},[1757,1759,1795,1800,1802,1806,1809,1823,1832,1882,1891,1895,1898,1930,1938,1942,1945,1965,1969,2049,2058,2060,2063,2083,2092,2096,2131,2134,2136,2271,2287,2318,2320,2392,2394,2396,2413,2415,2444,2446,2497,2499,2525],[16,1758,753],{"id":752},[755,1760,1762,1782],{"className":1761},[758,759,760],[20,1763,1764,1766,1767,1781],{},[24,1765,765],{}," 字节跳动出品的低代码 Agent 平台，",[24,1768,1769,1770,1775,1776],{},"国内版 ",[601,1771,1774],{"href":1772,"rel":1773},"https:\u002F\u002Fwww.coze.cn",[775],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[601,1777,1780],{"href":1778,"rel":1779},"https:\u002F\u002Fwww.coze.com",[775],"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。",[20,1783,1784,1785,1788,1789,1794],{},"最大价值是 ",[24,1786,1787],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[601,1790,1793],{"href":1791,"rel":1792},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[775],"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\"。",[583,1796,1797],{},[20,1798,1799],{},"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。",[16,1801,866],{"id":866},[868,1803,1805],{"id":1804},"可视化工作流最大卖点","可视化工作流（最大卖点）",[20,1807,1808],{},"Coze 把 Agent 拆成两层：",[29,1810,1811,1817],{},[32,1812,1813,1816],{},[24,1814,1815],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[32,1818,1819,1822],{},[24,1820,1821],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[20,1824,1825,1826,1831],{},"工作流节点类型（基于 ",[601,1827,1830],{"href":1828,"rel":1829},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[775],"火山引擎社区 2025 实战","）：",[29,1833,1834,1840,1846,1852,1858,1864,1870,1876],{},[32,1835,1836,1839],{},[24,1837,1838],{},"开始 \u002F 结束节点","：输入输出",[32,1841,1842,1845],{},[24,1843,1844],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[32,1847,1848,1851],{},[24,1849,1850],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[32,1853,1854,1857],{},[24,1855,1856],{},"循环节点","：批量处理多条数据",[32,1859,1860,1863],{},[24,1861,1862],{},"条件节点","：分支判断",[32,1865,1866,1869],{},[24,1867,1868],{},"插件节点","：调 Coze 插件市场的工具",[32,1871,1872,1875],{},[24,1873,1874],{},"知识库节点","：RAG 检索",[32,1877,1878,1881],{},[24,1879,1880],{},"HTTP 节点","：调外部 API",[20,1883,1884,1885,1890],{},"典型用例（参考 ",[601,1886,1889],{"href":1887,"rel":1888},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[775],"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。",[868,1892,1894],{"id":1893},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[20,1896,1897],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[29,1899,1900,1906,1912,1918,1924],{},[32,1901,1902,1905],{},[24,1903,1904],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[32,1907,1908,1911],{},[24,1909,1910],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[32,1913,1914,1917],{},[24,1915,1916],{},"联网搜索","：实时网页检索",[32,1919,1920,1923],{},[24,1921,1922],{},"代码执行","：在线运行 Python",[32,1925,1926,1929],{},[24,1927,1928],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[20,1931,1932,1937],{},[601,1933,1936],{"href":1934,"rel":1935},"https:\u002F\u002Fkouziai.github.io\u002F",[775],"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。",[868,1939,1941],{"id":1940},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[20,1943,1944],{},"发布渠道：",[29,1946,1947,1950,1953,1956,1959,1962],{},[32,1948,1949],{},"飞书机器人（一键绑）",[32,1951,1952],{},"抖音 \u002F 头条号",[32,1954,1955],{},"微信小程序 \u002F 公众号（部分需企业认证）",[32,1957,1958],{},"自定义网页嵌入",[32,1960,1961],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[32,1963,1964],{},"Discord（国际版）",[868,1966,1968],{"id":1967},"国内版-vs-国际版","国内版 vs 国际版",[69,1970,1971,1983],{},[72,1972,1973],{},[75,1974,1975,1977,1980],{},[78,1976,186],{},[78,1978,1979],{},"扣子（coze.cn）",[78,1981,1982],{},"Coze（coze.com）",[91,1984,1985,1996,2006,2016,2027,2038],{},[75,1986,1987,1990,1993],{},[96,1988,1989],{},"主力模型",[96,1991,1992],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[96,1994,1995],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[75,1997,1998,2001,2004],{},[96,1999,2000],{},"飞书 \u002F 抖音 \u002F 微信集成",[96,2002,2003],{},"✅ 原生",[96,2005,399],{},[75,2007,2008,2011,2014],{},[96,2009,2010],{},"Discord \u002F Slack 集成",[96,2012,2013],{},"⚠️ 有限",[96,2015,2003],{},[75,2017,2018,2021,2024],{},[96,2019,2020],{},"数据存储位置",[96,2022,2023],{},"国内",[96,2025,2026],{},"海外",[75,2028,2029,2032,2035],{},[96,2030,2031],{},"支付",[96,2033,2034],{},"微信 \u002F 支付宝",[96,2036,2037],{},"海外信用卡",[75,2039,2040,2043,2046],{},[96,2041,2042],{},"内容合规",[96,2044,2045],{},"严格审核",[96,2047,2048],{},"宽松",[20,2050,2051,2054,2055,644],{},[24,2052,2053],{},"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 ",[24,2056,2057],{},"不互通",[16,2059,1038],{"id":1038},[20,2061,2062],{},"国内版（扣子）：",[29,2064,2065,2071,2077],{},[32,2066,2067,2070],{},[24,2068,2069],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[32,2072,2073,2076],{},[24,2074,2075],{},"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",[32,2078,2079,2082],{},[24,2080,2081],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[20,2084,2085,2086,2091],{},"国际版（coze.com）的定价模式据 ",[601,2087,2090],{"href":2088,"rel":2089},"https:\u002F\u002Fdocs.coze.com\u002F",[775],"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。",[16,2093,2095],{"id":2094},"上手-10-分钟","上手 10 分钟",[278,2097,2098,2110,2113,2116,2119,2122,2125,2128],{},[32,2099,1137,2100,2104,2105,2109],{},[601,2101,2103],{"href":1772,"rel":2102},[775],"www.coze.cn","（国内）或 ",[601,2106,2108],{"href":1778,"rel":2107},[775],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[32,2111,2112],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[32,2114,2115],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[32,2117,2118],{},"写 Bot 角色 prompt",[32,2120,2121],{},"可选：上传 PDF \u002F 文档建知识库",[32,2123,2124],{},"测试一下对话效果",[32,2126,2127],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[32,2129,2130],{},"拿到调用 URL \u002F 飞书机器人 webhook",[20,2132,2133],{},"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。",[16,2135,1221],{"id":1221},[69,2137,2138,2162],{},[72,2139,2140],{},[75,2141,2142,2144,2146,2151,2156],{},[78,2143,186],{},[78,2145,390],{},[78,2147,2148],{},[601,2149,374],{"href":2150},"\u002Fagent\u002Fplatform\u002Fdify.html",[78,2152,2153],{},[601,2154,453],{"href":2155},"\u002Fagent\u002Fplatform\u002Ffastgpt.html",[78,2157,2158],{},[601,2159,2161],{"href":2160},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[91,2163,2164,2176,2189,2205,2217,2230,2244,2258],{},[75,2165,2166,2168,2170,2172,2174],{},[96,2167,201],{},[96,2169,399],{},[96,2171,383],{},[96,2173,383],{},[96,2175,399],{},[75,2177,2178,2180,2183,2185,2187],{},[96,2179,214],{},[96,2181,2182],{},"⚠️ 仅企业版",[96,2184,383],{},[96,2186,383],{},[96,2188,567],{},[75,2190,2191,2194,2197,2200,2202],{},[96,2192,2193],{},"上手难度",[96,2195,2196],{},"★ 最简单",[96,2198,2199],{},"★★★",[96,2201,2199],{},[96,2203,2204],{},"★★",[75,2206,2207,2209,2211,2213,2215],{},[96,2208,240],{},[96,2210,1304],{},[96,2212,1298],{},[96,2214,1301],{},[96,2216,1301],{},[75,2218,2219,2222,2224,2226,2228],{},[96,2220,2221],{},"RAG 精度",[96,2223,1301],{},[96,2225,1304],{},[96,2227,1298],{},[96,2229,1301],{},[75,2231,2232,2235,2237,2239,2241],{},[96,2233,2234],{},"字节生态",[96,2236,1298],{},[96,2238,399],{},[96,2240,399],{},[96,2242,2243],{},"❌（腾讯系）",[75,2245,2246,2249,2252,2254,2256],{},[96,2247,2248],{},"插件市场",[96,2250,2251],{},"★★★★★ 200+",[96,2253,1301],{},[96,2255,1301],{},[96,2257,1301],{},[75,2259,2260,2263,2265,2267,2269],{},[96,2261,2262],{},"中文社区",[96,2264,1298],{},[96,2266,1304],{},[96,2268,1304],{},[96,2270,1304],{},[20,2272,2273,2276,2277,2282,2283,1831],{},[24,2274,2275],{},"怎么选","（综合 ",[601,2278,2281],{"href":2279,"rel":2280},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[775],"BestHub 2025-07"," 和 ",[601,2284,2286],{"href":1791,"rel":2285},[775],"博客园 2026-01",[29,2288,2289,2295,2303,2310],{},[32,2290,2291,2294],{},[24,2292,2293],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[32,2296,2297,2300,2301],{},[24,2298,2299],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[601,2302,374],{"href":2150},[32,2304,2305,2300,2308],{},[24,2306,2307],{},"核心场景就是企业知识库 QA",[601,2309,453],{"href":2155},[32,2311,2312,2300,2315],{},[24,2313,2314],{},"QQ \u002F 微信生态 + 腾讯系",[601,2316,2317],{"href":2160},"元器",[16,2319,1440],{"id":1440},[29,2321,2322,2332,2338,2353,2363,2369,2380,2386],{},[32,2323,2324,2327,2328,2331],{},[24,2325,2326],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[24,2329,2330],{},"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",[32,2333,2334,2337],{},[24,2335,2336],{},"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",[32,2339,2340,2343,2344,2347,2348,2352],{},[24,2341,2342],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[1160,2345,2346],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[601,2349,2351],{"href":1828,"rel":2350},[775],"火山引擎 2025 教程","）",[32,2354,2355,2358,2359,2362],{},[24,2356,2357],{},"工作流读取飞书表格默认 20 条","：要改 ",[1160,2360,2361],{},"page_size","，最大 500 条；超过 500 要分页或循环",[32,2364,2365,2368],{},[24,2366,2367],{},"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",[32,2370,2371,2374,2375,1010,2377,2379],{},[24,2372,2373],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[601,2376,374],{"href":2150},[601,2378,453],{"href":2155}," 自托管",[32,2381,2382,2385],{},[24,2383,2384],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[32,2387,2388,2391],{},[24,2389,2390],{},"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",[16,2393,1510],{"id":1509},[20,2395,1513],{},[29,2397,2398,2401,2404,2407,2410],{},[32,2399,2400],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[32,2402,2403],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[32,2405,2406],{},"个人副业（小红书账号批量内容生成等）",[32,2408,2409],{},"中小企业客服 Bot（3 天上线）",[32,2411,2412],{},"想用豆包 \u002F DeepSeek 国产模型的人",[20,2414,1533],{},[29,2416,2417,2420,2423,2428,2435],{},[32,2418,2419],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[32,2421,2422],{},"复杂业务系统深度集成（自由度不够）",[32,2424,2425,2426,2352],{},"反感字节生态（去 ",[601,2427,374],{"href":2150},[32,2429,2430,2431,1010,2433,2352],{},"希望开源 \u002F 完全自主可控（去 ",[601,2432,374],{"href":2150},[601,2434,453],{"href":2155},[32,2436,2437,2438,1010,2440,2443],{},"海外 toB SaaS 产品后端（",[601,2439,374],{"href":2150},[601,2441,468],{"href":2442},"\u002Fagent\u002Fplatform\u002Flangflow.html"," 更合适）",[16,2445,647],{"id":647},[29,2447,2448,2461,2475,2491],{},[32,2449,1561,2450,1010,2452,1010,2454,1010,2456,1010,2458],{},[601,2451,374],{"href":2150},[601,2453,453],{"href":2155},[601,2455,2317],{"href":2160},[601,2457,468],{"href":2442},[601,2459,438],{"href":2460},"\u002Fagent\u002Fplatform\u002Fn8n.html",[32,2462,1572,2463,1010,2465,1010,2469,1010,2473],{},[601,2464,1576],{"href":1575},[601,2466,2468],{"href":2467},"\u002Fwiki\u002Frag.html","RAG",[601,2470,2472],{"href":2471},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[601,2474,1579],{"href":1575},[32,2476,1583,2477,1010,2481,1010,2485,1010,2487],{},[601,2478,2480],{"href":2479},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[601,2482,2484],{"href":2483},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[601,2486,1595],{"href":1594},[601,2488,2490],{"href":2489},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[32,2492,1598,2493,1010,2495],{},[601,2494,1606],{"href":1605},[601,2496,1602],{"href":1601},[16,2498,1609],{"id":1609},[29,2500,2501,2507,2513,2519,2522],{},[32,2502,2503,2504],{},"国内版：",[601,2505,1772],{"href":1772,"rel":2506},[775],[32,2508,2509,2510],{},"国际版：",[601,2511,1778],{"href":1778,"rel":2512},[775],[32,2514,2515,2516],{},"官方文档：",[601,2517,713],{"href":713,"rel":2518},[775],[32,2520,2521],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[32,2523,2524],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[20,2526,2527,2528,1634],{},"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 ",[601,2529,1633],{"href":1632},{"title":690,"searchDepth":691,"depth":691,"links":2531},[2532,2533,2539,2540,2541,2542,2543,2544,2545],{"id":752,"depth":694,"text":753},{"id":866,"depth":694,"text":866,"children":2534},[2535,2536,2537,2538],{"id":1804,"depth":691,"text":1805},{"id":1893,"depth":691,"text":1894},{"id":1940,"depth":691,"text":1941},{"id":1967,"depth":691,"text":1968},{"id":1038,"depth":694,"text":1038},{"id":2094,"depth":694,"text":2095},{"id":1221,"depth":694,"text":1221},{"id":1440,"depth":694,"text":1440},{"id":1509,"depth":694,"text":1510},{"id":647,"depth":694,"text":647},{"id":1609,"depth":694,"text":1609},"platform","\u002Fimg\u002Ftools\u002Fcoze.webp","Coze 扣子 2026 真实评测：字节低代码 AI Agent 平台，支持可视化工作流、插件市场、知识库和 Bot 发布。本文对比 Dify、FastGPT、n8n，梳理国内版\u002F国际版差异、价格、适合场景和避坑建议。",[1661,1662],{},[2552,2553,1667,2554,2555],"doubao-pro","deepseek-v3","gpt-4o (国际版)","claude (国际版)",[2557,2558,2559],"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",[1677],[2563,2568,2573,2577],{"plan":2564,"price":2565,"limit":2566,"cn_pay":494,"note":2567},"免费版（扣子）","¥0","免费模型限额 + 基础功能","个人试水 \u002F 1-2 天 MVP",{"plan":2075,"price":2569,"limit":2570,"cn_pay":2571,"note":2572},"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":2081,"price":2574,"limit":2575,"cn_pay":383,"note":2576},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":2578,"price":2579,"cn_pay":2580,"note":2581,"limit":494},"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",[2584],"ai-agent\u002Fbuild-rag-bot-with-coze",[2586,2587,2588,2589],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":1656,"ux":1707,"price":1656,"cn_support":1707,"stability":1656},{"title":390,"description":2548},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify",[2594,2596,2598,2599,2601],{"title":2595,"url":1772},"Coze 国内版（扣子）",{"title":2597,"url":1778},"Coze 国际版",{"title":712,"url":713},{"title":2600,"url":1791},"Coze vs Dify vs FastGPT 选型 2026",{"title":2602,"url":2279},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[2605,2606,2607,2608,2609],"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",[2612,2613,2614,2615,2616,2617],"agent-platform","low-code","workflow","bot-marketplace","bytedance","no-code","想最快做出一个能用的 Bot，从 Coze 起步。要私有部署或开源协作，去 Dify \u002F FastGPT。","qX6e6yKIMXyvi4jntLA0xq3V6EuIwNmqj8MH0zHOiAQ",{"id":2621,"title":374,"alternatives":2622,"api_compatible":2623,"body":2625,"category":2546,"chinese_friendly":1656,"cover":3609,"description":3610,"domestic":720,"extension":704,"faq":702,"free":720,"github":710,"languages":3611,"lastVerified":705,"meta":3613,"models":702,"navigation":720,"notSuitable":702,"opensource":720,"path":3614,"pillar":1675,"platforms":3615,"priceTable":3616,"pricing":3633,"published":1698,"relatedPlaybooks":3634,"relatedReviews":3636,"score":3638,"self_host":720,"seo":3639,"seoTitle":3640,"slug":723,"sources":3641,"stem":3652,"suitable":702,"tagline":3653,"tags":3654,"updated":1740,"verdict":3660,"website":3554,"__hash__":3661},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fdify.md",[724,1746,726,727],[1749,1750,1751,1752,1753,2624],"DeepSeek",{"type":13,"value":2626,"toc":3587},[2627,2629,2647,2652,2654,2658,2661,2728,2731,2735,2738,2752,2768,2772,2775,2786,2790,2798,2809,2813,2816,2818,2822,2831,2891,2898,2902,2909,2972,2975,2994,2998,3001,3060,3066,3068,3162,3164,3193,3195,3323,3335,3370,3372,3444,3446,3448,3468,3470,3499,3501,3546,3548,3578,3583],[16,2628,753],{"id":752},[755,2630,2632,2637],{"className":2631},[758,759,760],[20,2633,2634,2636],{},[24,2635,765],{}," 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。",[20,2638,1784,2639,2642,2643,2646],{},[24,2640,2641],{},"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 ",[601,2644,390],{"href":2645},"\u002Fagent\u002Fplatform\u002Fcoze.html"," 折腾，新手得读 1-2 小时文档。",[583,2648,2649],{},[20,2650,2651],{},"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。",[16,2653,866],{"id":866},[868,2655,2657],{"id":2656},"可视化工作流chatflow-workflow","可视化工作流（Chatflow + Workflow）",[20,2659,2660],{},"Dify 把 LLM 应用拆成两种\"应用类型\"：",[69,2662,2663,2675],{},[72,2664,2665],{},[75,2666,2667,2670,2672],{},[78,2668,2669],{},"类型",[78,2671,1376],{},[78,2673,2674],{},"编排范式",[91,2676,2677,2690,2702,2715],{},[75,2678,2679,2684,2687],{},[96,2680,2681],{},[24,2682,2683],{},"Chatbot",[96,2685,2686],{},"简单对话机器人",[96,2688,2689],{},"prompt + tools",[75,2691,2692,2697,2699],{},[96,2693,2694],{},[24,2695,2696],{},"Agent",[96,2698,122],{},[96,2700,2701],{},"ReAct \u002F Function Calling",[75,2703,2704,2709,2712],{},[96,2705,2706],{},[24,2707,2708],{},"Chatflow",[96,2710,2711],{},"对话型工作流（多轮 + 分支）",[96,2713,2714],{},"节点 DAG，带聊天上下文",[75,2716,2717,2722,2725],{},[96,2718,2719],{},[24,2720,2721],{},"Workflow",[96,2723,2724],{},"单次输入→输出（API 模式）",[96,2726,2727],{},"节点 DAG，无对话状态",[20,2729,2730],{},"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\"。",[868,2732,2734],{"id":2733},"rag-知识库","RAG 知识库",[20,2736,2737],{},"内置完整 RAG 链路：",[278,2739,2740,2743,2746,2749],{},[32,2741,2742],{},"上传文档（PDF \u002F Word \u002F Markdown \u002F 网页）",[32,2744,2745],{},"自动分块 + embedding（可配置分段策略和 embedding 模型）",[32,2747,2748],{},"混合检索（向量 + 全文 + 重排）",[32,2750,2751],{},"引用溯源（回答末尾自动附原文片段）",[20,2753,2754,2755,2760,2761,2764,2765,2767],{},"注意：根据 ",[601,2756,2759],{"href":2757,"rel":2758},"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F1887141987838309480",[775],"知乎 LLM 实战笔记 2025-03 对比"," 的实测，Dify ",[24,2762,2763],{},"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 ",[601,2766,453],{"href":2155},"（实测准确率高 10+ 个百分点），Dify 胜在工作流而非纯 RAG。",[868,2769,2771],{"id":2770},"模型生态40-提供商","模型生态：40+ 提供商",[20,2773,2774],{},"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。",[20,2776,2777,2778,2780,2781,2785],{},"国产模型原生支持（不像 ",[601,2779,453],{"href":2155}," 需要 ",[601,2782,2784],{"href":2783},"\u002Fcoding\u002Fapi\u002Fone-api.html","OneAPI"," 中转），是 Dify 在国内 toB 场景流行的关键。",[868,2787,2789],{"id":2788},"mcp-协议支持","MCP 协议支持",[20,2791,2792,2793,2797],{},"Dify 较早接入了 ",[601,2794,2796],{"href":2795},"\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：",[29,2799,2800,2803,2806],{},[32,2801,2802],{},"通过 MCP 调本地 PostgreSQL \u002F SQLite",[32,2804,2805],{},"通过 MCP 调 GitHub \u002F Slack \u002F Linear",[32,2807,2808],{},"通过 MCP 调自家内部系统（写一个 MCP Server 即可）",[868,2810,2812],{"id":2811},"api-first","API-first",[20,2814,2815],{},"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。",[16,2817,1038],{"id":1038},[868,2819,2821],{"id":2820},"云版difyai","云版（dify.ai）",[20,2823,2824,2825,2830],{},"根据 ",[601,2826,2829],{"href":2827,"rel":2828},"https:\u002F\u002Fwww.tooljunction.io\u002Fai-tools\u002Fdify-ai",[775],"tooljunction.io 2026 评测"," 引用的官方定价：",[69,2832,2833,2845],{},[72,2834,2835],{},[75,2836,2837,2840,2842],{},[78,2838,2839],{},"套餐",[78,2841,1056],{},[78,2843,2844],{},"主要限制",[91,2846,2847,2858,2869,2880],{},[75,2848,2849,2852,2855],{},[96,2850,2851],{},"Sandbox",[96,2853,2854],{},"免费",[96,2856,2857],{},"200 次模型调用，1 app，5MB 知识库",[75,2859,2860,2863,2866],{},[96,2861,2862],{},"Professional",[96,2864,2865],{},"$59\u002F月起",[96,2867,2868],{},"5000 调用\u002F月，多 app，50MB 知识库",[75,2870,2871,2874,2877],{},[96,2872,2873],{},"Team",[96,2875,2876],{},"$159\u002F月起",[96,2878,2879],{},"团队协作、SSO",[75,2881,2882,2885,2888],{},[96,2883,2884],{},"Enterprise",[96,2886,2887],{},"联系销售",[96,2889,2890],{},"定制 SLA、私有云",[20,2892,2893,2894,2897],{},"注意：云版价格只是 Dify 平台费，",[24,2895,2896],{},"模型 API 费用另算","（自带 OpenAI \u002F Anthropic key）。",[868,2899,2901],{"id":2900},"自托管推荐","自托管（推荐）",[20,2903,2904,2908],{},[601,2905,2907],{"href":710,"rel":2906},[775],"官方 GitHub 仓库"," 提供 Docker Compose 部署，社区版完全免费可商用：",[1153,2910,2914],{"className":2911,"code":2912,"language":2913,"meta":690,"style":690},"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",[1160,2915,2916,2932,2941,2952,2966],{"__ignoreMap":690},[2917,2918,2921,2925,2929],"span",{"class":2919,"line":2920},"line",1,[2917,2922,2924],{"class":2923},"sScJk","git",[2917,2926,2928],{"class":2927},"sZZnC"," clone",[2917,2930,2931],{"class":2927}," https:\u002F\u002Fgithub.com\u002Flanggenius\u002Fdify.git\n",[2917,2933,2934,2938],{"class":2919,"line":694},[2917,2935,2937],{"class":2936},"sj4cs","cd",[2917,2939,2940],{"class":2927}," dify\u002Fdocker\n",[2917,2942,2943,2946,2949],{"class":2919,"line":691},[2917,2944,2945],{"class":2923},"cp",[2917,2947,2948],{"class":2927}," .env.example",[2917,2950,2951],{"class":2927}," .env\n",[2917,2953,2954,2957,2960,2963],{"class":2919,"line":1656},[2917,2955,2956],{"class":2923},"docker",[2917,2958,2959],{"class":2927}," compose",[2917,2961,2962],{"class":2927}," up",[2917,2964,2965],{"class":2936}," -d\n",[2917,2967,2968],{"class":2919,"line":1707},[2917,2969,2971],{"class":2970},"sJ8bj","# 默认 http:\u002F\u002Flocalhost \u002F 端口可在 .env 调整\n",[20,2973,2974],{},"硬件门槛（社区共识，非官方硬性要求）：",[29,2976,2977,2983,2988],{},[32,2978,2979,2982],{},[24,2980,2981],{},"最低","：2 核 4G，纯外接 API 模式",[32,2984,2985,2987],{},[24,2986,192],{},"：4 核 8G + 至少 30GB 磁盘（向量数据 + 文件存储）",[32,2989,2990,2993],{},[24,2991,2992],{},"企业","：8 核 16G+，单机日活上千",[868,2995,2997],{"id":2996},"真实-tco","真实 TCO",[20,2999,3000],{},"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）：",[69,3002,3003,3016],{},[72,3004,3005],{},[75,3006,3007,3010,3013],{},[78,3008,3009],{},"成本项",[78,3011,3012],{},"云版 Professional",[78,3014,3015],{},"自托管",[91,3017,3018,3028,3038,3049],{},[75,3019,3020,3023,3026],{},[96,3021,3022],{},"平台费",[96,3024,3025],{},"~$2,100（3 年）",[96,3027,1069],{},[75,3029,3030,3033,3035],{},[96,3031,3032],{},"服务器",[96,3034,1069],{},[96,3036,3037],{},"~$50\u002F月 × 36 = $1,800",[75,3039,3040,3043,3046],{},[96,3041,3042],{},"模型 API",[96,3044,3045],{},"与下同",[96,3047,3048],{},"与上同",[75,3050,3051,3054,3057],{},[96,3052,3053],{},"运维人力",[96,3055,3056],{},"0",[96,3058,3059],{},"约 0.2 人月",[20,3061,3062,3065],{},[24,3063,3064],{},"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。",[16,3067,2095],{"id":2094},[1153,3069,3071],{"className":2911,"code":3070,"language":2913,"meta":690,"style":690},"# 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",[1160,3072,3073,3078,3086,3092,3100,3110,3116,3122,3128,3133,3139,3144,3150,3156],{"__ignoreMap":690},[2917,3074,3075],{"class":2919,"line":2920},[2917,3076,3077],{"class":2970},"# 1. 自托管（社区版）\n",[2917,3079,3080,3082,3084],{"class":2919,"line":694},[2917,3081,2924],{"class":2923},[2917,3083,2928],{"class":2927},[2917,3085,2931],{"class":2927},[2917,3087,3088,3090],{"class":2919,"line":691},[2917,3089,2937],{"class":2936},[2917,3091,2940],{"class":2927},[2917,3093,3094,3096,3098],{"class":2919,"line":1656},[2917,3095,2945],{"class":2923},[2917,3097,2948],{"class":2927},[2917,3099,2951],{"class":2927},[2917,3101,3102,3104,3106,3108],{"class":2919,"line":1707},[2917,3103,2956],{"class":2923},[2917,3105,2959],{"class":2927},[2917,3107,2962],{"class":2927},[2917,3109,2965],{"class":2936},[2917,3111,3113],{"class":2919,"line":3112},6,[2917,3114,3115],{"emptyLinePlaceholder":720},"\n",[2917,3117,3119],{"class":2919,"line":3118},7,[2917,3120,3121],{"class":2970},"# 2. 浏览器打开 http:\u002F\u002Flocalhost\n",[2917,3123,3125],{"class":2919,"line":3124},8,[2917,3126,3127],{"class":2970},"#    首次会让你创建 admin 账号\n",[2917,3129,3131],{"class":2919,"line":3130},9,[2917,3132,3115],{"emptyLinePlaceholder":720},[2917,3134,3136],{"class":2919,"line":3135},10,[2917,3137,3138],{"class":2970},"# 3. 进入\"设置 → 模型供应商\"，配置 OpenAI \u002F 国产模型 API key\n",[2917,3140,3142],{"class":2919,"line":3141},11,[2917,3143,3115],{"emptyLinePlaceholder":720},[2917,3145,3147],{"class":2919,"line":3146},12,[2917,3148,3149],{"class":2970},"# 4. 在主界面\"创建空白应用\"，选 Chatflow 或 Workflow\n",[2917,3151,3153],{"class":2919,"line":3152},13,[2917,3154,3155],{"class":2970},"# 5. 拖入\"开始 → LLM → 结束\"节点试一下基础 prompt\n",[2917,3157,3159],{"class":2919,"line":3158},14,[2917,3160,3161],{"class":2970},"# 6. 满意了点右上\"发布\"，自动生成 API endpoint\n",[16,3163,1179],{"id":1179},[278,3165,3166,3172,3178,3184],{},[32,3167,3168,3171],{},[24,3169,3170],{},"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",[32,3173,3174,3177],{},[24,3175,3176],{},"自托管 + 国产模型"," = 完全国内闭环，是 Dify 在国内最大优势",[32,3179,3180,3183],{},[24,3181,3182],{},"Docker 镜像拉取","：国内可能慢，建议配 Docker registry 镜像（阿里云 \u002F 网易）",[32,3185,3186,3189,3190,3192],{},[24,3187,3188],{},"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 ",[601,3191,390],{"href":2645}," 迁到 Dify",[16,3194,1221],{"id":1221},[69,3196,3197,3217],{},[72,3198,3199],{},[75,3200,3201,3203,3205,3209,3213],{},[78,3202,186],{},[78,3204,374],{},[78,3206,3207],{},[601,3208,390],{"href":2645},[78,3210,3211],{},[601,3212,453],{"href":2155},[78,3214,3215],{},[601,3216,438],{"href":2460},[91,3218,3219,3232,3244,3257,3269,3282,3296,3309],{},[75,3220,3221,3223,3225,3227,3229],{},[96,3222,201],{},[96,3224,383],{},[96,3226,399],{},[96,3228,383],{},[96,3230,3231],{},"✅（fair-code）",[75,3233,3234,3236,3238,3240,3242],{},[96,3235,214],{},[96,3237,383],{},[96,3239,399],{},[96,3241,383],{},[96,3243,383],{},[75,3245,3246,3248,3250,3253,3255],{},[96,3247,2193],{},[96,3249,1301],{},[96,3251,3252],{},"★★☆☆☆ 最简单",[96,3254,1301],{},[96,3256,1304],{},[75,3258,3259,3261,3263,3265,3267],{},[96,3260,240],{},[96,3262,1298],{},[96,3264,1304],{},[96,3266,1301],{},[96,3268,1298],{},[75,3270,3271,3273,3275,3277,3279],{},[96,3272,2221],{},[96,3274,1304],{},[96,3276,1301],{},[96,3278,1298],{},[96,3280,3281],{},"★★☆☆☆",[75,3283,3284,3287,3289,3291,3294],{},[96,3285,3286],{},"模型生态",[96,3288,1298],{},[96,3290,1304],{},[96,3292,3293],{},"★★★☆☆（OneAPI 中转）",[96,3295,1304],{},[75,3297,3298,3301,3303,3305,3307],{},[96,3299,3300],{},"中文场景",[96,3302,1304],{},[96,3304,1298],{},[96,3306,1304],{},[96,3308,1301],{},[75,3310,3311,3314,3316,3319,3321],{},[96,3312,3313],{},"字节生态绑定",[96,3315,399],{},[96,3317,3318],{},"✅（飞书\u002F抖音深度集成）",[96,3320,399],{},[96,3322,399],{},[20,3324,3325,3327,3328,2282,3331,3334],{},[24,3326,2275],{},"（基于 ",[601,3329,2281],{"href":2279,"rel":3330},[775],[601,3332,2286],{"href":1791,"rel":3333},[775]," 两份选型指南综合）：",[29,3336,3337,3343,3350,3356,3363],{},[32,3338,3339,3342],{},[24,3340,3341],{},"数据必须不出内网 + 工作流复杂"," → Dify",[32,3344,3345,2300,3348],{},[24,3346,3347],{},"个人 \u002F 小团队 \u002F 快速原型 + 字节生态",[601,3349,390],{"href":2645},[32,3351,3352,2300,3354],{},[24,3353,2307],{},[601,3355,453],{"href":2155},[32,3357,3358,2300,3361],{},[24,3359,3360],{},"重点是连接外部 SaaS（Slack \u002F Notion \u002F 数据库）",[601,3362,438],{"href":2460},[32,3364,3365,2300,3368],{},[24,3366,3367],{},"要画图式表达 LangChain pipeline",[601,3369,468],{"href":2442},[16,3371,1440],{"id":1440},[29,3373,3374,3380,3396,3407,3420,3426,3432,3438],{},[32,3375,3376,3379],{},[24,3377,3378],{},"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。",[32,3381,3382,27,3388,3391,3392,3395],{},[24,3383,3384,3387],{},[1160,3385,3386],{},".env"," 文件改完忘 restart",[1160,3389,3390],{},"docker compose down && up -d","，不是 ",[1160,3393,3394],{},"restart","——后者不重新加载 env。",[32,3397,3398,27,3401,3406],{},[24,3399,3400],{},"大版本升级会破坏数据库 schema",[601,3402,3405],{"href":3403,"rel":3404},"https:\u002F\u002Fdocs.dify.ai\u002Fzh-hans",[775],"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。",[32,3408,3409,3412,3413,3415,3416,3419],{},[24,3410,3411],{},"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 ",[1160,3414,3386],{}," 的 ",[1160,3417,3418],{},"UPLOAD_FILE_SIZE_LIMIT"," 并重启容器。",[32,3421,3422,3425],{},[24,3423,3424],{},"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。",[32,3427,3428,3431],{},[24,3429,3430],{},"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。",[32,3433,3434,3437],{},[24,3435,3436],{},"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。",[32,3439,3440,3443],{},[24,3441,3442],{},"国内 Docker 拉取镜像慢","：先配国内 registry，否则首次 pull 可能要 30+ 分钟。",[16,3445,1510],{"id":1509},[20,3447,1513],{},[29,3449,3450,3453,3456,3459,3462,3465],{},[32,3451,3452],{},"中大型企业 LLM 中台建设",[32,3454,3455],{},"需要私有化部署（金融 \u002F 医疗 \u002F 政府）",[32,3457,3458],{},"想做\"AI 工作流即产品\"的开发团队",[32,3460,3461],{},"同时需要 RAG + Agent + Workflow 三件套",[32,3463,3464],{},"想用国产模型 + 国际模型混合编排",[32,3466,3467],{},"已经接受 Docker + 一定运维投入",[20,3469,1533],{},[29,3471,3472,3478,3484,3487,3493],{},[32,3473,3474,3475,3477],{},"纯个人玩家做对话机器人（",[601,3476,390],{"href":2645}," 更快）",[32,3479,3480,3481,3483],{},"只想做企业知识库 QA（",[601,3482,453],{"href":2155}," RAG 更专）",[32,3485,3486],{},"团队完全没运维能力（云版还行，自托管会踩坑）",[32,3488,3489,3490,3492],{},"需要深度对接字节飞书 \u002F 抖音（",[601,3491,390],{"href":2645}," 原生）",[32,3494,3495,3496,3498],{},"工作流核心是连接 100+ SaaS（",[601,3497,438],{"href":2460}," 节点更全）",[16,3500,647],{"id":647},[29,3502,3503,3513,3525,3538],{},[32,3504,1561,3505,1010,3507,1010,3509,1010,3511],{},[601,3506,390],{"href":2645},[601,3508,453],{"href":2155},[601,3510,438],{"href":2460},[601,3512,468],{"href":2442},[32,3514,3515,3516,1010,3518,1010,3520,1010,3523],{},"概念基础：",[601,3517,1576],{"href":1575},[601,3519,2468],{"href":2467},[601,3521,3522],{"href":2795},"MCP",[601,3524,2472],{"href":2471},[32,3526,3527,3528,1010,3532,1010,3534,1010,3536],{},"模型选型：",[601,3529,3531],{"href":3530},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[601,3533,1587],{"href":1586},[601,3535,2484],{"href":2483},[601,3537,2490],{"href":2489},[32,3539,1598,3540,1010,3544],{},[601,3541,3543],{"href":3542},"\u002Fwiki\u002Ffine-tuning-vs-rag.html","Fine-tuning vs RAG",[601,3545,1602],{"href":1601},[16,3547,1609],{"id":1609},[29,3549,3550,3556,3562,3568,3575],{},[32,3551,1614,3552],{},[601,3553,3554],{"href":3554,"rel":3555},"https:\u002F\u002Fdify.ai",[775],[32,3557,3558,3559],{},"中文文档：",[601,3560,3403],{"href":3403,"rel":3561},[775],[32,3563,3564,3565],{},"GitHub：",[601,3566,710],{"href":710,"rel":3567},[775],[32,3569,3570,3571],{},"官方定价：",[601,3572,3573],{"href":3573,"rel":3574},"https:\u002F\u002Fdify.ai\u002Fpricing",[775],[32,3576,3577],{},"第三方评测：tooljunction.io \u002F chatforest.com \u002F besthub.dev \u002F joshuaopolko.com \u002F 知乎 LLM 实战笔记",[20,3579,3580,3581,1634],{},"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 ",[601,3582,1633],{"href":1632},[3584,3585,3586],"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":690,"searchDepth":691,"depth":691,"links":3588},[3589,3590,3597,3602,3603,3604,3605,3606,3607,3608],{"id":752,"depth":694,"text":753},{"id":866,"depth":694,"text":866,"children":3591},[3592,3593,3594,3595,3596],{"id":2656,"depth":691,"text":2657},{"id":2733,"depth":691,"text":2734},{"id":2770,"depth":691,"text":2771},{"id":2788,"depth":691,"text":2789},{"id":2811,"depth":691,"text":2812},{"id":1038,"depth":694,"text":1038,"children":3598},[3599,3600,3601],{"id":2820,"depth":691,"text":2821},{"id":2900,"depth":691,"text":2901},{"id":2996,"depth":691,"text":2997},{"id":2094,"depth":694,"text":2095},{"id":1179,"depth":694,"text":1179},{"id":1221,"depth":694,"text":1221},{"id":1440,"depth":694,"text":1440},{"id":1509,"depth":694,"text":1510},{"id":647,"depth":694,"text":647},{"id":1609,"depth":694,"text":1609},"\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。",[1661,1662,3612],"ja",{},"\u002Ftools\u002Fagent\u002Fplatform\u002Fdify",[1678,1679,1680,2956],[3617,3621,3625,3629],{"plan":3618,"price":1069,"features":3619,"notes":3620},"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":3622,"price":1069,"features":3623,"notes":3624},"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":3626,"price":2865,"features":3627,"notes":3628},"Cloud Professional","更高调用额度 + 团队协作 + 商用支持","商用云首选",{"plan":3630,"price":3631,"features":3632,"notes":2887},"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",[3635],"ai-agent\u002Fdify-self-host-knowledge-base",[2586,2587,2588,3637,2589],"dify-self-host-1-month",{"power":1707,"ux":1656,"price":1707,"cn_support":1656,"stability":1656},{"title":374,"description":3610},"Dify 评测 2026：开源 LLMOps 与 AI Agent 平台，自托管指南",[3642,3644,3645,3647,3649],{"title":3643,"url":3403},"Dify 官方文档（中文）",{"title":709,"url":710},{"title":3646,"url":3573},"Dify 官方定价",{"title":3648,"url":2279},"Coze vs Dify vs FastGPT 选型",{"title":3650,"url":3651},"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",[2612,3655,3656,3657,2614,3658,3659],"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。","EnNc9Kkmi_WvBZAYV3av9TFaKpLjmBxmCtV5_xRvi9Q",1785666674131]