[{"data":1,"prerenderedAt":3084},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-openhuman":8,"alt-list-openhuman":689},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},23,{"id":9,"title":10,"alternatives":11,"api_compatible":15,"body":16,"category":619,"chinese_friendly":249,"cover":620,"description":621,"domestic":622,"extension":623,"faq":624,"free":622,"github":640,"languages":641,"lastVerified":644,"meta":645,"models":15,"navigation":252,"notSuitable":15,"opensource":252,"path":646,"pillar":647,"platforms":648,"priceTable":652,"pricing":661,"published":662,"relatedPlaybooks":663,"relatedReviews":665,"score":667,"self_host":252,"seo":668,"seoTitle":669,"slug":670,"sources":671,"stem":678,"suitable":15,"tagline":679,"tags":680,"updated":662,"verdict":687,"website":280,"__hash__":688},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman.md","OpenHuman",[12,13,14],"agent\u002Fgeneral\u002Fopenmanus","agent\u002Fgeneral\u002Fhermes-agent","agent\u002Fplatform\u002Fcoze",null,{"type":17,"value":18,"toc":607},"minimark",[19,24,28,31,34,123,126,143,147,152,175,180,203,206,274,283,286,298,301,468,471,515,519,548,551,571,574,603],[20,21,23],"h2",{"id":22},"tldr","TL;DR",[25,26,27],"p",{},"OpenHuman 是 TinyHumans 团队 2026-05 推出的开源个人 AI 超级智能助手，7.8k+ GitHub stars。差异点：Rust（Tauri）桌面优先架构 + 118+ 第三方 OAuth 集成 + Memory Tree 长期记忆系统（10 亿 token 容量）+ TokenJuice 智能压缩（省 80% token）+ 智能模型路由 + 桌面吉祥物 + Google Meet 参会 + 语音交互 + Obsidian 知识库兼容。20 分钟自动同步你的数字生活，构建本地私有的个人记忆库。",[25,29,30],{},"适合：追求个人 AI 助手真正了解你的知识工作者；Obsidian 用户；跨越多个工具的协作场景；关注数据隐私的用户。不适合：追求极致轻量单功能工具；需要完全离线运行（OAuth 和模型调用需网络）；无法接受 Early Beta 产品的不稳定。",[20,32,33],{"id":33},"核心能力",[35,36,37,45,51,57,63,69,75,81,87,93,99,105,111,117],"ul",{},[38,39,40,44],"li",{},[41,42,43],"strong",{},"Memory Tree 长期记忆系统","：自动抓取邮件、文档、聊天记录 → 智能评分 → 层级摘要树 → 本地 SQLite 存储 + Obsidian 兼容 .md 文件",[38,46,47,50],{},[41,48,49],{},"118+ 第三方 OAuth 集成","：Gmail \u002F Outlook \u002F Notion \u002F GitHub \u002F Slack \u002F Google Calendar \u002F Stripe \u002F Linear \u002F Jira 等",[38,52,53,56],{},[41,54,55],{},"TokenJuice 智能压缩","：HTML→Markdown \u002F URL 缩短 \u002F 去重，最高省 80% token",[38,58,59,62],{},[41,60,61],{},"智能模型路由","：统一订阅，自动分配推理 \u002F 快速 \u002F 多模态 \u002F 本地模型",[38,64,65,68],{},[41,66,67],{},"桌面吉祥物","：有表情、会说话的桌面小伙伴，响应环境变化",[38,70,71,74],{},[41,72,73],{},"Google Meet 参会","：以真实参与者身份加入线上会议",[38,76,77,80],{},[41,78,79],{},"语音交互","：STT 语音输入 + ElevenLabs TTS 语音输出 + 唇形同步",[38,82,83,86],{},[41,84,85],{},"后台持续思考","：即使不主动交互，也在后台分析和整理信息",[38,88,89,92],{},[41,90,91],{},"自动同步","：每 20 分钟自动遍历所有活跃连接，拉取最新数据",[38,94,95,98],{},[41,96,97],{},"Obsidian 兼容","：记忆以 Markdown 形式存储，可直接用 Obsidian 查看\u002F编辑",[38,100,101,104],{},[41,102,103],{},"本地优先","：核心数据存储在本地 SQLite，不上传云端",[38,106,107,110],{},[41,108,109],{},"本地加密","：数据在设备端加密存储",[38,112,113,116],{},[41,114,115],{},"Ollama 支持","：可运行本地 LLM，敏感任务完全不上云",[38,118,119,122],{},[41,120,121],{},"GPL-3.0 开源","：完整源码可审计、可定制",[20,124,125],{"id":125},"价格",[35,127,128,134,140],{},[38,129,130,133],{},[41,131,132],{},"统一订阅","：价格待定（Early Beta）；一价全包所有模型 + 自动路由",[38,135,136,139],{},[41,137,138],{},"自托管","：$0；GPL-3.0 协议，需自备 LLM API 或本地 Ollama 模型",[38,141,142],{},"自托管一次中等任务 API 费用 $0.02-0.5（取决于模型选择）",[20,144,146],{"id":145},"实测个人-ai-助手场景","实测（个人 AI 助手场景）",[25,148,149],{},[41,150,151],{},"亮点：",[35,153,154,157,160,163,166,169,172],{},[38,155,156],{},"Memory Tree 让 AI 真正拥有\"长期记忆\"，不是每次对话从零开始",[38,158,159],{},"118+ 集成开箱即用，OAuth 一键连接，无需手动配置 API",[38,161,162],{},"TokenJuice 压缩效果显著，实测 token 消耗降低 60-80%",[38,164,165],{},"桌面 UI 设计精美，吉祥物交互有趣，不是命令行工具",[38,167,168],{},"自动同步机制省心，不用手动通知 AI 新信息",[38,170,171],{},"Obsidian 兼容让记忆透明可读，用户完全掌控自己的数据",[38,173,174],{},"智能模型路由省去手动切换模型的麻烦",[25,176,177],{},[41,178,179],{},"踩坑：",[35,181,182,185,188,191,194,197,200],{},[38,183,184],{},"Early Beta 阶段，功能迭代快，偶尔有 breaking change",[38,186,187],{},"中文支持依赖底层模型，部分场景效果不如英文",[38,189,190],{},"OAuth 连接器稳定性参差不齐，部分服务偶尔断连",[38,192,193],{},"桌面吉祥物 CPU\u002F内存占用不低，低配机器略卡",[38,195,196],{},"文档尚在完善中，部分功能缺少详细说明",[38,198,199],{},"自动同步频率固定 20 分钟，无法手动触发即时同步",[38,201,202],{},"隐私边界需关注：虽然数据本地存储，但 OAuth 连接和模型调用涉及网络",[20,204,205],{"id":205},"上手",[207,208,213],"pre",{"className":209,"code":210,"language":211,"meta":212,"style":212},"language-bash shiki shiki-themes github-light github-dark","# macOS \u002F Linux\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh | bash\n\n# Windows (PowerShell)\nirm https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1 | iex\n","bash","",[214,215,216,225,247,254,260],"code",{"__ignoreMap":212},[217,218,221],"span",{"class":219,"line":220},"line",1,[217,222,224],{"class":223},"sJ8bj","# macOS \u002F Linux\n",[217,226,228,232,236,240,244],{"class":219,"line":227},2,[217,229,231],{"class":230},"sScJk","curl",[217,233,235],{"class":234},"sj4cs"," -fsSL",[217,237,239],{"class":238},"sZZnC"," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh",[217,241,243],{"class":242},"szBVR"," |",[217,245,246],{"class":230}," bash\n",[217,248,250],{"class":219,"line":249},3,[217,251,253],{"emptyLinePlaceholder":252},true,"\n",[217,255,257],{"class":219,"line":256},4,[217,258,259],{"class":223},"# Windows (PowerShell)\n",[217,261,263,266,269,271],{"class":219,"line":262},5,[217,264,265],{"class":230},"irm",[217,267,268],{"class":238}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1",[217,270,243],{"class":242},[217,272,273],{"class":230}," iex\n",[25,275,276,277],{},"或从官网下载安装包：",[278,279,280],"a",{"href":280,"rel":281},"https:\u002F\u002Ftinyhumans.ai\u002Fopenhuman",[282],"nofollow",[25,284,285],{},"首次启动后：",[287,288,289,292,295],"ol",{},[38,290,291],{},"完成 OAuth 授权连接你的邮箱 \u002F 日历 \u002F 文档 \u002F 代码仓库",[38,293,294],{},"等待 2-5 分钟初始数据同步（Memory Tree 自动构建）",[38,296,297],{},"开始对话——AI 已经知道你的工作背景和习惯",[20,299,300],{"id":300},"对比",[302,303,304,325],"table",{},[305,306,307],"thead",{},[308,309,310,314,316,319,322],"tr",{},[311,312,313],"th",{},"维度",[311,315,10],{},[311,317,318],{},"Claude Cowork",[311,320,321],{},"OpenClaw",[311,323,324],{},"Hermes Agent",[326,327,328,345,361,377,394,410,424,440,453],"tbody",{},[308,329,330,334,337,340,343],{},[331,332,333],"td",{},"形态",[331,335,336],{},"桌面应用",[331,338,339],{},"桌面+CLI",[331,341,342],{},"终端",[331,344,342],{},[308,346,347,350,353,356,359],{},[331,348,349],{},"开源",[331,351,352],{},"✅ GPL-3.0",[331,354,355],{},"❌ 专有",[331,357,358],{},"✅ MIT",[331,360,358],{},[308,362,363,366,369,372,375],{},[331,364,365],{},"上手难度",[331,367,368],{},"✅ UI 优先，几分钟",[331,370,371],{},"✅ 桌面",[331,373,374],{},"⚠️ 终端",[331,376,374],{},[308,378,379,382,385,388,391],{},[331,380,381],{},"长期记忆",[331,383,384],{},"✅ Memory Tree",[331,386,387],{},"⚠️ 对话级",[331,389,390],{},"⚠️ 依赖插件",[331,392,393],{},"✅ 自学习",[308,395,396,399,402,405,408],{},[331,397,398],{},"集成数量",[331,400,401],{},"118+ OAuth",[331,403,404],{},"少",[331,406,407],{},"需自建",[331,409,407],{},[308,411,412,414,417,420,422],{},[331,413,91],{},[331,415,416],{},"✅ 20分钟",[331,418,419],{},"❌",[331,421,419],{},[331,423,419],{},[308,425,426,429,432,435,438],{},[331,427,428],{},"模型路由",[331,430,431],{},"✅ 内置智能",[331,433,434],{},"❌ 单一",[331,436,437],{},"⚠️ 手动",[331,439,437],{},[308,441,442,444,447,449,451],{},[331,443,67],{},[331,445,446],{},"✅",[331,448,419],{},[331,450,419],{},[331,452,419],{},[308,454,455,458,460,463,466],{},[331,456,457],{},"隐私",[331,459,103],{},[331,461,462],{},"云端",[331,464,465],{},"本地",[331,467,465],{},[20,469,470],{"id":470},"避坑",[35,472,473,479,485,491,497,503,509],{},[38,474,475,478],{},[41,476,477],{},"Early Beta 不稳定","：功能迭代快，关键工作建议备份记忆数据",[38,480,481,484],{},[41,482,483],{},"中文效果","：依赖底层模型，GPT-4o \u002F Claude 中文效果好，本地模型待验证",[38,486,487,490],{},[41,488,489],{},"OAuth 断连","：部分服务 token 会过期，需定期检查连接状态",[38,492,493,496],{},[41,494,495],{},"TokenJuice 精度","：压缩虽好，处理合同\u002F账单等敏感内容需注意细节丢失",[38,498,499,502],{},[41,500,501],{},"资源占用","：桌面吉祥物 + 后台同步建议 8GB+ 内存",[38,504,505,508],{},[41,506,507],{},"网络依赖","：OAuth 连接和远程模型调用需要稳定网络",[38,510,511,514],{},[41,512,513],{},"隐私边界","：虽然数据本地存储，但 OAuth 连接意味着服务商可知你的连接状态",[20,516,518],{"id":517},"适合-不适合","适合 \u002F 不适合",[35,520,521,524,527,530,533,536,539,542,545],{},[38,522,523],{},"✅ 追求个人 AI 助手真正了解你的知识工作者",[38,525,526],{},"✅ Obsidian 用户，希望 AI 自动维护知识库",[38,528,529],{},"✅ 工作流跨越多个工具（Gmail \u002F Slack \u002F Notion \u002F GitHub）",[38,531,532],{},"✅ 关注数据隐私，希望敏感信息保留在本地",[38,534,535],{},"✅ 愿意尝试 Early Beta，能接受快速迭代",[38,537,538],{},"❌ 追求极致轻量，不需要那么多集成功能",[38,540,541],{},"❌ 对隐私要求极高，希望完全离线运行",[38,543,544],{},"❌ 无法接受 Beta 产品的粗糙边缘和偶发 bug",[38,546,547],{},"❌ 需要中文深度优化（当前英文体验最佳）",[20,549,550],{"id":550},"相关阅读",[35,552,553,559,565],{},[38,554,555],{},[278,556,558],{"href":557},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus 工具卡：开源版 Manus",[38,560,561],{},[278,562,564],{"href":563},"\u002Fagent\u002Fgeneral\u002Fhermes-agent.html","Hermes Agent 工具卡：自学习 AI Agent",[38,566,567],{},[278,568,570],{"href":569},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze 平台评测",[20,572,573],{"id":573},"来源",[287,575,576,583,589,596],{},[38,577,578,579],{},"OpenHuman GitHub 主仓库 + TinyHumans 组织 ",[278,580,581],{"href":581,"rel":582},"https:\u002F\u002Fgithub.com\u002Ftinyhumansai\u002Fopenhuman",[282],[38,584,585,586],{},"OpenHuman 官网 ",[278,587,280],{"href":280,"rel":588},[282],[38,590,591,592],{},"OpenHuman 文档 ",[278,593,594],{"href":594,"rel":595},"https:\u002F\u002Ftinyhumans.gitbook.io\u002Fopenhuman",[282],[38,597,598,599],{},"OpenHuman Discord ",[278,600,601],{"href":601,"rel":602},"https:\u002F\u002Fdiscord.tinyhumans.ai\u002F",[282],[604,605,606],"style",{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}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":212,"searchDepth":249,"depth":249,"links":608},[609,610,611,612,613,614,615,616,617,618],{"id":22,"depth":227,"text":23},{"id":33,"depth":227,"text":33},{"id":125,"depth":227,"text":125},{"id":145,"depth":227,"text":146},{"id":205,"depth":227,"text":205},{"id":300,"depth":227,"text":300},{"id":470,"depth":227,"text":470},{"id":517,"depth":227,"text":518},{"id":550,"depth":227,"text":550},{"id":573,"depth":227,"text":573},"general","\u002Fimg\u002Ftools\u002Fopenhuman.svg","OpenHuman 真实评测：TinyHumans 团队 2026-05 开源的个人 AI 超级智能助手，7.8k+ GitHub stars。GPL-3.0 协议 + Rust（Tauri）架构 + 桌面 UI 优先 + 118+ 第三方 OAuth 集成 + Memory Tree 长期记忆系统（10亿 token 容量）+ TokenJuice 智能压缩（省 80% token）+ 智能模型路由 + 桌面吉祥物 + Google Meet 参会 + 语音交互 + Obsidian 知识库兼容。20 分钟自动同步你的邮箱、日历、文档、代码仓库，构建本地私有的个人记忆库。",false,"md",[625,628,631,634,637],{"q":626,"a":627},"OpenHuman 和 ChatGPT \u002F Claude 有什么不同？","ChatGPT \u002F Claude 是通用对话 AI，每次对话从零开始，没有你的长期记忆。OpenHuman 通过 Memory Tree 系统持续学习你的邮件、日历、文档、代码仓库，构建一个持续更新的个人记忆库。它知道『你是谁』而非只是『你问了什么』。",{"q":629,"a":630},"OpenHuman 的数据安全如何？","核心记忆数据存储在本地 SQLite 数据库，不上传云端。数据在设备端加密存储。可通过 Ollama 运行本地 LLM 实现敏感任务完全离线。但 OAuth 连接和远程模型调用仍涉及网络传输。",{"q":632,"a":633},"Memory Tree 是什么？","OpenHuman 的核心记忆系统。所有接入数据（邮件、文档、聊天记录）被转化为 ≤3000 token 的 Markdown 块，经智能评分后折叠成层级摘要树，存入本地 SQLite。同时生成 .md 文件同步到 Obsidian 知识库。记忆容量可达 10 亿 token。",{"q":635,"a":636},"TokenJuice 有什么用？","TokenJuice 是 OpenHuman 的智能压缩层，在数据进入 LLM 前进行预处理——HTML 转 Markdown、长 URL 缩短、重复内容去重等，最高可降低 80% 的 token 消耗，大幅降低 API 成本和响应延迟。",{"q":638,"a":639},"支持哪些第三方服务？","118+ 第三方 OAuth 集成，涵盖：Gmail \u002F Outlook（邮件）、Notion \u002F Google Docs \u002F Obsidian（文档）、GitHub \u002F GitLab（代码）、Slack \u002F Discord（沟通）、Google Calendar \u002F Outlook Calendar（日历）、Google Drive \u002F Dropbox（存储）、Stripe（支付）、Linear \u002F Jira（项目）等。","https:\u002F\u002Fgithub.com\u002Fopenhuman-ai\u002Fopenhuman",[642,643],"en","multi","2026-08-02",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman","agent",[649,650,651],"linux","macos","windows",[653,657],{"plan":132,"price":654,"features":655,"notes":656},"待定","全部模型 + 自动路由 + 118+ 集成 + Memory Tree + TokenJuice","Early Beta 定价可能调整",{"plan":138,"price":658,"features":659,"notes":660},"$0","GPL-3.0 协议 + 全部功能 + 可接 Ollama 本地模型","需自备 LLM API","统一订阅制（一价全包，自动模型路由）\u002F 自备 LLM API 可选","2026-07-17",[664],"onboarding\u002Fpersonal-ai-agent",[666],"openhuman-deep-review",{"power":256,"ux":262,"price":256,"cn_support":249,"stability":249},{"title":10,"description":621},"OpenHuman 评测 2026：开源个人 AI 超级智能，118+ 集成","agent\u002Fgeneral\u002Fopenhuman",[672,674,676],{"name":673,"url":581,"accessed":662},"OpenHuman GitHub（TinyHumans 组织）",{"name":675,"url":280,"accessed":662},"OpenHuman 官网",{"name":677,"url":594,"accessed":662},"OpenHuman 文档","tools\u002Fagent\u002Fgeneral\u002Fopenhuman","TinyHumans 团队开源个人 AI 超级智能——118+ 集成 \u002F Memory Tree \u002F TokenJuice 压缩 \u002F 桌面优先",[681,682,683,647,684,685,686],"opensource","personal-ai","memory-tree","desktop","obsidian","rust","想要一个真正懂你、记得你、能自动学习的个人 AI 助手——OpenHuman 是目前开源社区最完整的选择。Memory Tree + 118+ 集成 + TokenJuice 压缩 + 桌面 UI 设计，让 AI 从『聊天工具』升级为『数字分身』。适合注重隐私、使用多平台工具的知识工作者。Early Beta 阶段，功能迭代快，适合愿意尝鲜的用户。","9qERkbIPamKd8QFDia0xBDyYu-AC1XqsyTKXM6Wb3-g",[690,1416,2165],{"id":691,"title":692,"alternatives":693,"api_compatible":15,"body":697,"category":619,"chinese_friendly":256,"cover":1361,"description":1362,"domestic":252,"extension":623,"faq":1363,"free":252,"github":1376,"languages":1377,"lastVerified":644,"meta":1379,"models":15,"navigation":252,"notSuitable":15,"opensource":252,"path":1380,"pillar":647,"platforms":1381,"priceTable":1383,"pricing":1387,"published":1388,"relatedPlaybooks":1389,"relatedReviews":1391,"score":1393,"self_host":252,"seo":1394,"seoTitle":1395,"slug":12,"sources":1396,"stem":1406,"suitable":15,"tagline":1407,"tags":1408,"updated":1399,"verdict":1414,"website":1323,"__hash__":1415},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[694,695,696],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":17,"value":698,"toc":1349},[699,701,708,711,713,790,792,809,813,817,843,847,873,875,1018,1021,1029,1031,1202,1204,1264,1266,1292,1294,1314,1316,1346],[20,700,23],{"id":22},[25,702,703,704,707],{},"OpenManus 是 MetaGPT 核心团队 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。差异点：MIT 协议 + Python 模块化架构 + 多 agent orchestration（",[214,705,706],{},"run_flow.py","）+ Playwright 浏览器自动化 + MCP 工具协议支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习分支 + 自定义工具基类（BaseTool）+ 多模型（GPT-4o \u002F Claude \u002F Qwen VL Plus）。零邀请码、零订阅、零供应商绑定。",[25,709,710],{},"适合：想自托管复刻 Manus 体验的开发者；研究 \u002F 学术 \u002F 教育用通用 agent 实现学习；隐私敏感 + 不愿数据上 Manus 商业云；预算紧（只付 LLM API）；中国大陆开发者（搭配 Qwen \u002F DeepSeek 本地化）。不适合：非开发者 \u002F 不会折腾 Python + Playwright；要 GUI \u002F 上手即用；生产级稳定（项目演进快，文档滞后）。",[20,712,33],{"id":33},[35,714,715,724,730,736,742,748,754,760,766,772,778,784],{},[38,716,717,720,721,723],{},[41,718,719],{},"多 agent orchestration","：",[214,722,706],{}," 编排多个专门 agent 协作",[38,725,726,729],{},[41,727,728],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[38,731,732,735],{},[41,733,734],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[38,737,738,741],{},[41,739,740],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[38,743,744,747],{},[41,745,746],{},"OpenManus-RL","：强化学习微调分支",[38,749,750,753],{},[41,751,752],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[38,755,756,759],{},[41,757,758],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[38,761,762,765],{},[41,763,764],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[38,767,768,771],{},[41,769,770],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[38,773,774,777],{},[41,775,776],{},"Web UI 监控","：实时看 AI thinking process",[38,779,780,783],{},[41,781,782],{},"任务可视化","：步骤拆解 + 执行树",[38,785,786,789],{},[41,787,788],{},"MIT 协议","：个人 + 商用全免费",[20,791,125],{"id":125},[35,793,794,800,803,806],{},[38,795,796,799],{},[41,797,798],{},"Free \u002F OSS","：$0；MIT 协议",[38,801,802],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[38,804,805],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[38,807,808],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[20,810,812],{"id":811},"实测开发者-自托管-研究场景","实测（开发者 \u002F 自托管 \u002F 研究场景）",[25,814,815],{},[41,816,151],{},[35,818,819,822,825,828,831,834,837,840],{},[38,820,821],{},"52k stars 印证社区认同度 + 活跃度",[38,823,824],{},"MetaGPT 团队背景保证架构质量",[38,826,827],{},"多 agent 协作场景比单 agent 实现稳得多",[38,829,830],{},"Playwright 浏览器自动化非常完整",[38,832,833],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[38,835,836],{},"DataAnalysis 内置 agent 模式开箱即用",[38,838,839],{},"中文支持自然（Qwen VL Plus 接入）",[38,841,842],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[25,844,845],{},[41,846,179],{},[35,848,849,852,855,858,861,864,867,870],{},[38,850,851],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[38,853,854],{},"文档滞后新功能 1-2 个月",[38,856,857],{},"无官方 GUI，监控 UI 在做但不完整",[38,859,860],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[38,862,863],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[38,865,866],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[38,868,869],{},"中文 prompt 效果依赖底层模型",[38,871,872],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[20,874,205],{"id":205},[207,876,878],{"className":209,"code":877,"language":211,"meta":212,"style":212},"git clone https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\ncd OpenManus\npython3.12 -m venv .venv && source .venv\u002Fbin\u002Factivate  # 或 .venv\\Scripts\\activate\npip install -r requirements.txt\nplaywright install chromium\n\n# 配 LLM API\ncp config\u002Fconfig.example.toml config\u002Fconfig.toml\n# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n\n# 单 agent 模式\npython main.py\n\n# 多 agent 模式\npython run_flow.py\n",[214,879,880,891,899,926,940,950,955,961,973,979,984,990,999,1004,1010],{"__ignoreMap":212},[217,881,882,885,888],{"class":219,"line":220},[217,883,884],{"class":230},"git",[217,886,887],{"class":238}," clone",[217,889,890],{"class":238}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[217,892,893,896],{"class":219,"line":227},[217,894,895],{"class":234},"cd",[217,897,898],{"class":238}," OpenManus\n",[217,900,901,904,907,910,913,917,920,923],{"class":219,"line":249},[217,902,903],{"class":230},"python3.12",[217,905,906],{"class":234}," -m",[217,908,909],{"class":238}," venv",[217,911,912],{"class":238}," .venv",[217,914,916],{"class":915},"sVt8B"," && ",[217,918,919],{"class":234},"source",[217,921,922],{"class":238}," .venv\u002Fbin\u002Factivate",[217,924,925],{"class":223},"  # 或 .venv\\Scripts\\activate\n",[217,927,928,931,934,937],{"class":219,"line":256},[217,929,930],{"class":230},"pip",[217,932,933],{"class":238}," install",[217,935,936],{"class":234}," -r",[217,938,939],{"class":238}," requirements.txt\n",[217,941,942,945,947],{"class":219,"line":262},[217,943,944],{"class":230},"playwright",[217,946,933],{"class":238},[217,948,949],{"class":238}," chromium\n",[217,951,953],{"class":219,"line":952},6,[217,954,253],{"emptyLinePlaceholder":252},[217,956,958],{"class":219,"line":957},7,[217,959,960],{"class":223},"# 配 LLM API\n",[217,962,964,967,970],{"class":219,"line":963},8,[217,965,966],{"class":230},"cp",[217,968,969],{"class":238}," config\u002Fconfig.example.toml",[217,971,972],{"class":238}," config\u002Fconfig.toml\n",[217,974,976],{"class":219,"line":975},9,[217,977,978],{"class":223},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[217,980,982],{"class":219,"line":981},10,[217,983,253],{"emptyLinePlaceholder":252},[217,985,987],{"class":219,"line":986},11,[217,988,989],{"class":223},"# 单 agent 模式\n",[217,991,993,996],{"class":219,"line":992},12,[217,994,995],{"class":230},"python",[217,997,998],{"class":238}," main.py\n",[217,1000,1002],{"class":219,"line":1001},13,[217,1003,253],{"emptyLinePlaceholder":252},[217,1005,1007],{"class":219,"line":1006},14,[217,1008,1009],{"class":223},"# 多 agent 模式\n",[217,1011,1013,1015],{"class":219,"line":1012},15,[217,1014,995],{"class":230},[217,1016,1017],{"class":238}," run_flow.py\n",[25,1019,1020],{},"试任务示例：",[207,1022,1027],{"className":1023,"code":1025,"language":1026},[1024],"language-text","> 帮我做一份『2026 开源 AI Agent 框架』竞品对比，含表格 + 引用 + 趋势分析，输出为 markdown 文件\n","text",[214,1028,1025],{"__ignoreMap":212},[20,1030,300],{"id":300},[302,1032,1033,1050],{},[305,1034,1035],{},[308,1036,1037,1039,1041,1044,1047],{},[311,1038,313],{},[311,1040,692],{},[311,1042,1043],{},"LangChain",[311,1045,1046],{},"AutoGPT",[311,1048,1049],{},"CrewAI",[326,1051,1052,1068,1084,1097,1113,1126,1140,1154,1171,1185],{},[308,1053,1054,1056,1059,1062,1065],{},[331,1055,333],{},[331,1057,1058],{},"现成 agent 实现",[331,1060,1061],{},"building blocks",[331,1063,1064],{},"早期通用 agent",[331,1066,1067],{},"多 agent 框架",[308,1069,1070,1073,1076,1079,1082],{},[331,1071,1072],{},"浏览器自动化",[331,1074,1075],{},"✅ Playwright",[331,1077,1078],{},"–",[331,1080,1081],{},"部分",[331,1083,1078],{},[308,1085,1086,1089,1091,1093,1095],{},[331,1087,1088],{},"MCP",[331,1090,446],{},[331,1092,1081],{},[331,1094,1078],{},[331,1096,1078],{},[308,1098,1099,1102,1105,1108,1110],{},[331,1100,1101],{},"多 agent",[331,1103,1104],{},"✅ orchestration",[331,1106,1107],{},"需自搭",[331,1109,419],{},[331,1111,1112],{},"✅ 旗舰",[308,1114,1115,1118,1120,1122,1124],{},[331,1116,1117],{},"DataAnalysis 内置",[331,1119,446],{},[331,1121,1078],{},[331,1123,1078],{},[331,1125,1078],{},[308,1127,1128,1131,1134,1136,1138],{},[331,1129,1130],{},"RL 微调",[331,1132,1133],{},"✅ OpenManus-RL",[331,1135,1078],{},[331,1137,1078],{},[331,1139,1078],{},[308,1141,1142,1145,1148,1150,1152],{},[331,1143,1144],{},"协议",[331,1146,1147],{},"MIT",[331,1149,1147],{},[331,1151,1147],{},[331,1153,1147],{},[308,1155,1156,1159,1162,1165,1168],{},[331,1157,1158],{},"Stars",[331,1160,1161],{},"52k+",[331,1163,1164],{},"100k+",[331,1166,1167],{},"170k+",[331,1169,1170],{},"30k+",[308,1172,1173,1175,1178,1181,1183],{},[331,1174,205],{},[331,1176,1177],{},"中",[331,1179,1180],{},"难",[331,1182,1177],{},[331,1184,1177],{},[308,1186,1187,1190,1193,1196,1199],{},[331,1188,1189],{},"适合",[331,1191,1192],{},"自托管 Manus 复刻",[331,1194,1195],{},"底层 framework",[331,1197,1198],{},"学习经典",[331,1200,1201],{},"多 agent 协作",[20,1203,470],{"id":470},[35,1205,1206,1212,1222,1228,1234,1240,1246,1252,1258],{},[38,1207,1208,1211],{},[41,1209,1210],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[38,1213,1214,1217,1218,1221],{},[41,1215,1216],{},"Playwright 依赖大","：首次 ",[214,1219,1220],{},"playwright install"," 下 chromium 慢，国内走镜像",[38,1223,1224,1227],{},[41,1225,1226],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[38,1229,1230,1233],{},[41,1231,1232],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[38,1235,1236,1239],{},[41,1237,1238],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[38,1241,1242,1245],{},[41,1243,1244],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[38,1247,1248,1251],{},[41,1249,1250],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[38,1253,1254,1257],{},[41,1255,1256],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[38,1259,1260,1263],{},[41,1261,1262],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[20,1265,518],{"id":517},[35,1267,1268,1271,1274,1277,1280,1283,1286,1289],{},[38,1269,1270],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[38,1272,1273],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[38,1275,1276],{},"✅ 隐私敏感 + 不愿数据上商业云",[38,1278,1279],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[38,1281,1282],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[38,1284,1285],{},"❌ 要 GUI \u002F 上手即用",[38,1287,1288],{},"❌ 生产级稳定（文档滞后 + 演进快）",[38,1290,1291],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[20,1293,550],{"id":550},[35,1295,1296,1302,1308],{},[38,1297,1298],{},[278,1299,1301],{"href":1300},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[38,1303,1304],{},[278,1305,1307],{"href":1306},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[38,1309,1310],{},[278,1311,1313],{"href":1312},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[20,1315,573],{"id":573},[287,1317,1318,1325,1332,1339],{},[38,1319,1320,1321],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[278,1322,1323],{"href":1323,"rel":1324},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[282],[38,1326,1327,1328],{},"Foundation Agents — OpenManus 项目介绍 ",[278,1329,1330],{"href":1330,"rel":1331},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[282],[38,1333,1334,1335],{},"Toolsverse — OpenManus 评测 + 52k stars ",[278,1336,1337],{"href":1337,"rel":1338},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[282],[38,1340,1341,1342],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[278,1343,1344],{"href":1344,"rel":1345},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[282],[604,1347,1348],{},"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 .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki 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var(--shiki-dark-text-decoration);}",{"title":212,"searchDepth":249,"depth":249,"links":1350},[1351,1352,1353,1354,1355,1356,1357,1358,1359,1360],{"id":22,"depth":227,"text":23},{"id":33,"depth":227,"text":33},{"id":125,"depth":227,"text":125},{"id":811,"depth":227,"text":812},{"id":205,"depth":227,"text":205},{"id":300,"depth":227,"text":300},{"id":470,"depth":227,"text":470},{"id":517,"depth":227,"text":518},{"id":550,"depth":227,"text":550},{"id":573,"depth":227,"text":573},"\u002Fimg\u002Ftools\u002Fopenmanus.webp","OpenManus 真实评测：MetaGPT 核心成员 Xinbin Liang \u002F Jinyu Xiang \u002F Zhaoyang Yu \u002F Jiayi Zhang \u002F Sirui Hong 在 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。MIT 协议 + Python 模块化架构 + 多 agent orchestration（run_flow.py）+ Playwright 浏览器自动化 + MCP 工具支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习微调分支 + 自定义工具基类（BaseTool）。零邀请码、零订阅、零供应商绑定，唯一成本 = LLM API。",[1364,1367,1370,1373],{"q":1365,"a":1366},"OpenManus 和 Manus 是什么关系？","Manus 是商业 \u002F 邀请制的通用 AI agent 产品。OpenManus 是 MetaGPT 核心团队 2025-03 推出的开源复刻版，目标是『让所有人不靠邀请码就能用上类 Manus 能力』。功能覆盖：研究 \u002F 浏览器 \u002F 数据分析 \u002F 文件操作 \u002F 多步 reasoning。不是 Manus 官方出品。",{"q":1368,"a":1369},"和 LangChain \u002F AutoGPT \u002F CrewAI 怎么定位？","OpenManus 不是 framework，更像『可直接跑的通用 agent 实现』。LangChain 是 building block 框架；AutoGPT 是早期通用 agent；CrewAI 是多 agent 协作 framework。要『拉下来配 API 就能跑 Manus 风格任务』→ OpenManus；要『从底层搭自己的 agent』→ LangChain \u002F CrewAI；要『历史经典 + 学习』→ AutoGPT。OpenManus 内部用 LangChain-like 模块，可视为『现成实现』。",{"q":1371,"a":1372},"OpenManus-RL 是什么？","OpenManus 项目下的强化学习分支，提供 RL-based 微调方法优化 agent 性能。对研究 \u002F 高定制场景有价值，普通用户主仓库已经够用。",{"q":1374,"a":1375},"上手门槛？","需要 Python 3.12+ + 熟悉终端 + 自配 LLM API。无 GUI（虽然 web 监控界面在做）。documentation 偶尔滞后。非开发者建议先试 GUI 工具（Flowith \u002F Genspark），开发者 \u002F 研究者 + 想自托管 + 隐私敏感 → OpenManus。","https:\u002F\u002Fgithub.com\u002FOpenManus\u002FOpenManus",[642,1378,643],"zh",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[649,650,651,1382],"docker",[1384],{"plan":798,"price":658,"features":1385,"notes":1386},"MIT 协议 + 全部功能 + 自托管 + 多 agent + 浏览器 + MCP + DataAnalysis + OpenManus-RL","LLM API 自付","MIT 完全免费开源 \u002F 用户自付 LLM API（GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus 任选）","2026-06-19",[1390],"onboarding\u002Fopen-source-general-agent",[666,1392],"openmanus-deep-review",{"power":262,"ux":249,"price":262,"cn_support":256,"stability":249},{"title":692,"description":1362},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[1397,1400,1402,1404],{"name":1398,"url":1323,"accessed":1399},"OpenManus GitHub（FoundationAgents 组织）","2026-06-24",{"name":1401,"url":1330,"accessed":1399},"Foundation Agents — OpenManus 项目介绍",{"name":1403,"url":1337,"accessed":1399},"Toolsverse — OpenManus 评测 + 52k stars",{"name":1405,"url":1344,"accessed":1399},"SoloSoft.dev — OpenManus 2026 Framework 综述","tools\u002Fagent\u002Fgeneral\u002Fopenmanus","MetaGPT 团队开源版 Manus——52k+ stars \u002F MIT \u002F 多 agent + 浏览器自动化 + MCP + DataAnalysis",[681,1409,1410,1411,1412,1413],"multi-agent","browser-automation","mcp","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","5TwlOpKjDlHE7VP3NOnKbK6cSvuhiuEGCwNeO95P6pY",{"id":1417,"title":324,"alternatives":1418,"api_compatible":1421,"body":1425,"category":619,"chinese_friendly":227,"cover":2098,"description":2099,"domestic":622,"extension":623,"faq":15,"free":252,"github":2100,"languages":2101,"lastVerified":644,"meta":2102,"models":2103,"navigation":252,"notSuitable":2108,"opensource":252,"path":2113,"pillar":647,"platforms":2114,"priceTable":2115,"pricing":2127,"published":2128,"relatedPlaybooks":15,"relatedReviews":2129,"score":2130,"self_host":252,"seo":2131,"seoTitle":2132,"slug":13,"sources":2133,"stem":2148,"suitable":2149,"tagline":2155,"tags":2156,"updated":2128,"verdict":2163,"website":2100,"__hash__":2164},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent.md",[1419,12,1420],"agent\u002Fgeneral\u002Fmanus","agent\u002Fdesktop\u002Fopenclaw",[1422,1423,1424],"openai","anthropic","local",{"type":17,"value":1426,"toc":2076},[1427,1430,1437,1443,1453,1457,1462,1468,1494,1501,1505,1512,1526,1529,1533,1539,1619,1625,1627,1630,1636,1654,1657,1660,1663,1683,1686,1689,1692,1706,1709,1712,1767,1782,1785,1791,1805,1808,1811,1837,1839,1893,1899,1902,2006,2010,2016,2022,2028,2034,2040,2042,2073],[20,1428,1429],{"id":1429},"一句话结论",[25,1431,1432,1433,1436],{},"如果你想要一个",[41,1434,1435],{},"完全开源、能自我进化、有长期记忆、可以部署在十几个消息平台上的 AI Agent","——Hermes Agent 在 2026 年是最成熟的选择。GitHub 10 万 Star，2 月开源到 5 月就翻了一倍。",[25,1438,1439,1440],{},"但它的门槛比 Manus 高一个量级：没有漂亮的 Web 界面，需要自己装 Python 环境、配置 LLM API、管理记忆数据库。",[41,1441,1442],{},"它面向的是\"想拥有自己 Agent 基础设施\"的极客，不是\"想要一个好用 AI 助手\"的普通用户。",[1444,1445,1447],"callout",{"type":1446},"info",[25,1448,1449,1452],{},[41,1450,1451],{},"定位区分","：Manus 是\"帮你干完事的云端 Agent\"，OpenClaw 是\"常驻你电脑的 AI 操作系统\"，Hermes Agent 是\"你能完全掌控和改造的自进化 Agent\"。三者目标不同，选型看你需要的是\"用\"还是\"拥有\"。",[20,1454,1456],{"id":1455},"hermes-agent-解决的核心问题","Hermes Agent 解决的核心问题",[1458,1459,1461],"h3",{"id":1460},"问题-1agent-没有长期记忆","问题 1：Agent 没有\"长期记忆\"",[25,1463,1464,1465,720],{},"大多数 AI Agent 的记忆只有当前会话的上下文窗口。你昨天让它做的事、偏好、上下文，今天全忘了。Hermes Agent 内置了",[41,1466,1467],{},"分层记忆系统",[35,1469,1470,1476,1482,1488],{},[38,1471,1472,1475],{},[41,1473,1474],{},"工作记忆","：当前会话上下文，类似人类短期记忆",[38,1477,1478,1481],{},[41,1479,1480],{},"情景记忆","：记录每次交互的时间、事件、结果，支持按时间线回溯",[38,1483,1484,1487],{},[41,1485,1486],{},"语义记忆","：从交互中抽取知识（你告诉它的偏好、事实、规则），长期保存",[38,1489,1490,1493],{},[41,1491,1492],{},"技能记忆","：Agent 自动总结\"怎么做某件事\"的步骤，下次直接调用",[25,1495,1496,1497,1500],{},"这意味着 Hermes Agent 是",[41,1498,1499],{},"越用越好用","的——它会记住你的工作习惯、项目上下文、你纠正过的错误。",[1458,1502,1504],{"id":1503},"问题-2单个模型能力有天花板","问题 2：单个模型能力有天花板",[25,1506,1507,1508,1511],{},"2026 年 6 月，Nous Research 给 Hermes Agent 加了 ",[41,1509,1510],{},"MoA（Mixture of Agents）"," 功能：",[35,1513,1514,1517,1520,1523],{},[38,1515,1516],{},"多个 Agent 实例并行处理同一个任务",[38,1518,1519],{},"每个 Agent 可以用不同模型（Claude \u002F GPT \u002F Hermes \u002F 本地模型）",[38,1521,1522],{},"结果由一个\"聚合 Agent\"合并去重、交叉验证",[38,1524,1525],{},"最终输出质量 > 任何单个模型",[25,1527,1528],{},"实际效果：用 3 个中档模型做 MoA，输出质量可以接近 1 个顶级模型，但成本只有 1\u002F3。",[1458,1530,1532],{"id":1531},"问题-3agent-只能在一个地方用","问题 3：Agent 只能在一个地方用",[25,1534,1535,1536,720],{},"Hermes Agent 支持 ",[41,1537,1538],{},"14 个消息渠道",[302,1540,1541,1551],{},[305,1542,1543],{},[308,1544,1545,1548],{},[311,1546,1547],{},"平台",[311,1549,1550],{},"状态",[326,1552,1553,1561,1568,1575,1582,1589,1596,1603,1611],{},[308,1554,1555,1558],{},[331,1556,1557],{},"Telegram",[331,1559,1560],{},"✅ 推荐，最稳定",[308,1562,1563,1566],{},[331,1564,1565],{},"Discord",[331,1567,446],{},[308,1569,1570,1573],{},[331,1571,1572],{},"Slack",[331,1574,446],{},[308,1576,1577,1580],{},[331,1578,1579],{},"WhatsApp",[331,1581,446],{},[308,1583,1584,1587],{},[331,1585,1586],{},"Signal",[331,1588,446],{},[308,1590,1591,1594],{},[331,1592,1593],{},"Email",[331,1595,446],{},[308,1597,1598,1601],{},[331,1599,1600],{},"CLI（终端）",[331,1602,446],{},[308,1604,1605,1608],{},[331,1606,1607],{},"Web UI",[331,1609,1610],{},"✅ 基础版",[308,1612,1613,1616],{},[331,1614,1615],{},"微信",[331,1617,1618],{},"⚠️ 非官方，不稳定",[25,1620,1621,1622],{},"你可以在 Telegram 上给它发消息让它做事，结果推送到 Discord；或者在 CLI 里开发时让它监听 Git 提交自动跑测试。",[41,1623,1624],{},"一个 Agent 实例，多个入口。",[20,1626,33],{"id":33},[1458,1628,1629],{"id":1629},"自我进化",[25,1631,1632,1633,720],{},"Hermes Agent 最独特的能力是 ",[41,1634,1635],{},"Profile 系统",[35,1637,1638,1641,1644,1651],{},[38,1639,1640],{},"每个 Profile 是一个\"人格 + 技能包\"的组合",[38,1642,1643],{},"你可以创建多个 Profile（如\"代码助手\"、\"研究助手\"、\"项目经理\"）",[38,1645,1646,1647,1650],{},"Agent 在执行任务后会",[41,1648,1649],{},"自动总结经验","，更新 Profile 的技能库",[38,1652,1653],{},"下次遇到类似任务，直接调用已有技能，不用从零开始",[25,1655,1656],{},"这意味着 Hermes Agent 不是\"每次都从零开始的 ChatBot\"，而是\"会积累经验的数字员工\"。",[1458,1658,1659],{"id":1659},"工具调用",[25,1661,1662],{},"Hermes Agent 支持自定义工具（function calling）：",[35,1664,1665,1668,1671,1674,1677,1680],{},[38,1666,1667],{},"搜索引擎（Google \u002F Bing \u002F SearXNG）",[38,1669,1670],{},"代码执行（Python sandbox）",[38,1672,1673],{},"文件读写",[38,1675,1676],{},"Web 浏览（Playwright）",[38,1678,1679],{},"自定义 API 调用",[38,1681,1682],{},"数据库查询",[25,1684,1685],{},"工具配置是 JSON 格式，添加新工具只需写一个 function 定义。",[1458,1687,1688],{"id":1688},"记忆管理",[25,1690,1691],{},"记忆系统基于向量数据库（默认 ChromaDB）：",[35,1693,1694,1697,1700,1703],{},[38,1695,1696],{},"自动从对话中提取关键信息存入语义记忆",[38,1698,1699],{},"支持手动\"forget\"删除特定记忆",[38,1701,1702],{},"记忆有 TTL（过期时间），避免无限膨胀",[38,1704,1705],{},"支持记忆导出\u002F导入（JSON 格式），方便迁移",[20,1707,1708],{"id":1708},"使用体验",[1458,1710,1711],{"id":1711},"安装部署",[207,1713,1715],{"className":209,"code":1714,"language":211,"meta":212,"style":212},"git clone https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\ncd hermes-agent\npip install -r requirements.txt\ncp .env.example .env\n# 配置 LLM API key、消息平台 token\npython -m hermes.agent\n",[214,1716,1717,1726,1733,1743,1753,1758],{"__ignoreMap":212},[217,1718,1719,1721,1723],{"class":219,"line":220},[217,1720,884],{"class":230},[217,1722,887],{"class":238},[217,1724,1725],{"class":238}," https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\n",[217,1727,1728,1730],{"class":219,"line":227},[217,1729,895],{"class":234},[217,1731,1732],{"class":238}," hermes-agent\n",[217,1734,1735,1737,1739,1741],{"class":219,"line":249},[217,1736,930],{"class":230},[217,1738,933],{"class":238},[217,1740,936],{"class":234},[217,1742,939],{"class":238},[217,1744,1745,1747,1750],{"class":219,"line":256},[217,1746,966],{"class":230},[217,1748,1749],{"class":238}," .env.example",[217,1751,1752],{"class":238}," .env\n",[217,1754,1755],{"class":219,"line":262},[217,1756,1757],{"class":223},"# 配置 LLM API key、消息平台 token\n",[217,1759,1760,1762,1764],{"class":219,"line":952},[217,1761,995],{"class":230},[217,1763,906],{"class":234},[217,1765,1766],{"class":238}," hermes.agent\n",[25,1768,1769,1770,1773,1774,1777,1778,1781],{},"部署需要 ",[41,1771,1772],{},"Python 3.11+","、",[41,1775,1776],{},"至少 8GB RAM","（跑本地模型需要更多）、",[41,1779,1780],{},"向量数据库","（默认 ChromaDB，可选 Qdrant）。",[1458,1783,1784],{"id":1784},"日常使用",[25,1786,1787,1788,720],{},"最顺的使用方式是 ",[41,1789,1790],{},"Telegram + Claude API",[287,1792,1793,1796,1799,1802],{},[38,1794,1795],{},"在 Telegram 上给 Agent 发消息",[38,1797,1798],{},"Agent 读取记忆、规划任务、调用工具",[38,1800,1801],{},"执行过程中实时推送进度",[38,1803,1804],{},"完成后推送结果 + 自动更新记忆",[25,1806,1807],{},"体感类似\"有一个 7×24 小时在线的助手\"，但它不是即问即答——复杂任务可能需要 2-5 分钟。",[1458,1809,1810],{"id":1810},"短板",[35,1812,1813,1819,1825,1831],{},[38,1814,1815,1818],{},[41,1816,1817],{},"文档偏英文","：几乎没有中文文档，国内用户上手门槛高",[38,1820,1821,1824],{},[41,1822,1823],{},"稳定性","：项目迭代极快（每周多个 commit），偶尔有 breaking change",[38,1826,1827,1830],{},[41,1828,1829],{},"资源消耗","：记忆系统 + 多 Agent 会占用较多内存和 API token",[38,1832,1833,1836],{},[41,1834,1835],{},"UI 简陋","：Web UI 只是基础版，不如 Manus \u002F OpenClaw 精致",[20,1838,125],{"id":125},[302,1840,1841,1851],{},[305,1842,1843],{},[308,1844,1845,1848],{},[311,1846,1847],{},"项目",[311,1849,1850],{},"成本",[326,1852,1853,1861,1869,1877,1885],{},[308,1854,1855,1858],{},[331,1856,1857],{},"Hermes Agent 本体",[331,1859,1860],{},"免费（开源）",[308,1862,1863,1866],{},[331,1864,1865],{},"LLM API",[331,1867,1868],{},"BYOK，用 Claude\u002FGPT 按各自 API 计费",[308,1870,1871,1874],{},[331,1872,1873],{},"本地模型",[331,1875,1876],{},"免费但需要 GPU（70B 模型需 ~48GB VRAM）",[308,1878,1879,1882],{},[331,1880,1881],{},"服务器",[331,1883,1884],{},"自托管需要一台 VPS（推荐 4 核 16GB 起步）",[308,1886,1887,1890],{},[331,1888,1889],{},"消息平台",[331,1891,1892],{},"Telegram\u002FDiscord 等均免费",[25,1894,1895,1898],{},[41,1896,1897],{},"最低成本","：一台 $5\u002F月 VPS + Claude API 按量付费 ≈ $10-20\u002F月可跑日常任务。",[20,1900,1901],{"id":1901},"与同类对比",[302,1903,1904,1917],{},[305,1905,1906],{},[308,1907,1908,1910,1912,1915],{},[311,1909,313],{},[311,1911,324],{},[311,1913,1914],{},"Manus",[311,1916,321],{},[326,1918,1919,1929,1941,1953,1967,1980,1992],{},[308,1920,1921,1923,1925,1927],{},[331,1922,349],{},[331,1924,446],{},[331,1926,419],{},[331,1928,446],{},[308,1930,1931,1933,1936,1938],{},[331,1932,1629],{},[331,1934,1935],{},"✅ Profile 系统",[331,1937,419],{},[331,1939,1940],{},"⚠️ 有限",[308,1942,1943,1945,1948,1951],{},[331,1944,381],{},[331,1946,1947],{},"✅ 分层记忆",[331,1949,1950],{},"❌ 单会话",[331,1952,446],{},[308,1954,1955,1958,1961,1964],{},[331,1956,1957],{},"跨平台部署",[331,1959,1960],{},"✅ 14 渠道",[331,1962,1963],{},"❌ Web only",[331,1965,1966],{},"⚠️ 桌面+CLI",[308,1968,1969,1971,1974,1977],{},[331,1970,365],{},[331,1972,1973],{},"★★★★☆",[331,1975,1976],{},"★☆☆☆☆",[331,1978,1979],{},"★★★☆☆",[308,1981,1982,1985,1988,1990],{},[331,1983,1984],{},"中文体验",[331,1986,1987],{},"★★☆☆☆",[331,1989,1973],{},[331,1991,1979],{},[308,1993,1994,1997,2000,2003],{},[331,1995,1996],{},"适合人群",[331,1998,1999],{},"极客\u002F研究者",[331,2001,2002],{},"普通用户",[331,2004,2005],{},"开发者",[20,2007,2009],{"id":2008},"faq","FAQ",[25,2011,2012,2015],{},[41,2013,2014],{},"Q：Hermes Agent 能用中文交互吗？","\n能，但体验一般。Hermes 4 模型的中文能力不如 Claude\u002FGPT，且文档和社区以英文为主。建议用 Claude\u002FGPT 作为后端模型，中文交互质量会好很多。",[25,2017,2018,2021],{},[41,2019,2020],{},"Q：和 OpenManus 有什么区别？","\nOpenManus 是 Manus 的开源复刻版，定位是\"通用 Agent 执行器\"。Hermes Agent 更侧重\"长期陪伴+自我进化+多平台部署\"。OpenManus 更轻量，Hermes 功能更全但更重。",[25,2023,2024,2027],{},[41,2025,2026],{},"Q：需要什么硬件？","\n纯 API 模式（用 Claude\u002FGPT）只需一台普通 VPS。跑本地 Hermes 4 70B 需要 ~48GB VRAM，405B 需要 ~240GB VRAM（多卡服务器）。",[25,2029,2030,2033],{},[41,2031,2032],{},"Q：记忆数据存在哪？","\n默认存在本地 ChromaDB（SQLite + 向量索引）。可以配置为 Qdrant、Weaviate 等远程向量数据库。数据完全自主，不会上传到任何第三方。",[25,2035,2036,2039],{},[41,2037,2038],{},"Q：能同时跑多个 Profile 吗？","\n可以。每个 Profile 是独立的记忆+技能库，可以并行运行。比如同时让\"代码助手\"Profile 审查代码、\"研究助手\"Profile 做市场调研。",[20,2041,550],{"id":550},[35,2043,2044,2050,2055,2061,2067],{},[38,2045,2046],{},[278,2047,2049],{"href":2048},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡",[38,2051,2052],{},[278,2053,2054],{"href":557},"OpenManus 工具卡",[38,2056,2057],{},[278,2058,2060],{"href":2059},"\u002Fagent\u002Fdesktop\u002Fopenclaw.html","OpenClaw 工具卡",[38,2062,2063],{},[278,2064,2066],{"href":2065},"\u002Freview\u002Fmanus-deep-review.html","Manus 深度评测",[38,2068,2069],{},[278,2070,2072],{"href":2071},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark 对比",[604,2074,2075],{},"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":212,"searchDepth":249,"depth":249,"links":2077},[2078,2079,2084,2089,2094,2095,2096,2097],{"id":1429,"depth":227,"text":1429},{"id":1455,"depth":227,"text":1456,"children":2080},[2081,2082,2083],{"id":1460,"depth":249,"text":1461},{"id":1503,"depth":249,"text":1504},{"id":1531,"depth":249,"text":1532},{"id":33,"depth":227,"text":33,"children":2085},[2086,2087,2088],{"id":1629,"depth":249,"text":1629},{"id":1659,"depth":249,"text":1659},{"id":1688,"depth":249,"text":1688},{"id":1708,"depth":227,"text":1708,"children":2090},[2091,2092,2093],{"id":1711,"depth":249,"text":1711},{"id":1784,"depth":249,"text":1784},{"id":1810,"depth":249,"text":1810},{"id":125,"depth":227,"text":125},{"id":1901,"depth":227,"text":1901},{"id":2008,"depth":227,"text":2009},{"id":550,"depth":227,"text":550},"\u002Fimg\u002Ftools\u002Fhermes-agent.webp","Hermes Agent 真实评测：Nous Research 出品的开源自进化 AI Agent，2026 年 2 月开源即获 10 万 GitHub Star。MoA 混合智能体架构、记忆系统、技能自动创建、跨平台部署（Telegram\u002FDiscord\u002FSlack\u002FWhatsApp\u002FCLI）。本文整理核心能力、使用体验、与 Manus\u002FOpenClaw 对比、适用场景。","https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent",[642],{},[2104,2105,2106,2107],"hermes-4-405b","hermes-4-70b","claude-sonnet-4","gpt-5",[2109,2110,2111,2112],"需要中文为主交互的玩家（文档和界面均为英文）","不想折腾部署和配置的个人用户","需要生产级稳定性（项目仍在快速迭代）","预算有限且没有 GPU 服务器的用户","\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[649,650,651],[2116,2121],{"plan":2117,"price":658,"limit":2118,"cn_pay":2119,"note":2120},"开源版","完整功能，自托管","—","BYOK 模式",{"plan":2122,"price":2123,"limit":2124,"cn_pay":2125,"note":2126},"API（Hermes 4）","按 token 计费","405B 模型按量付费","⚠️ 需海外卡","不想自托管时","免费（开源，BYOK）","2026-07-04",[666],{"power":256,"ux":249,"price":262,"cn_support":227,"stability":249},{"title":324,"description":2099},"Hermes Agent 评测 2026：Nous Research 开源自进化 AI Agent，10 万 Star",[2134,2136,2139,2142,2145],{"title":2135,"url":2100},"Hermes Agent GitHub",{"title":2137,"url":2138},"Nous Research 官网","https:\u002F\u002Fnousresearch.com",{"title":2140,"url":2141},"Hermes Agent 安装教程","https:\u002F\u002Fblog.csdn.net\u002Fyweng18\u002Farticle\u002Fdetails\u002F161148047",{"title":2143,"url":2144},"Hermes MoA 体验报告","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7657411078791365171\u002F",{"title":2146,"url":2147},"Hermes vs OpenCode 对比","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7645892543409816064\u002F","tools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[2150,2151,2152,2153,2154],"需要自托管、数据完全自主的 AI Agent","对 Agent 自我进化 \u002F 记忆系统有研究兴趣","需要跨平台部署（Telegram \u002F Discord \u002F Slack 等多通道）","有 GPU 服务器可以跑 Hermes 4 模型","想要一个长期陪伴型个人 Agent","Nous Research 开源自进化 AI Agent，10 万 Star，MoA 混合智能体",[2157,2158,681,2159,2160,2161,2162],"general-agent","autonomous","self-evolving","memory","nous-research","moa","2026 最火开源 Agent。MoA 混合智能体+自我进化+记忆系统+跨平台部署，GitHub 10 万 Star。适合长期陪伴型任务和自托管 Agent 研究，但中文支持和文档偏弱。","pNMT39f89-NmMpTnzRzPCqZbq68gto5lxPJmcky1dQY",{"id":2166,"title":2167,"alternatives":2168,"api_compatible":2172,"body":2179,"category":3008,"chinese_friendly":262,"cover":3009,"description":3010,"domestic":252,"extension":623,"faq":15,"free":252,"github":15,"languages":3011,"lastVerified":644,"meta":3012,"models":3013,"navigation":252,"notSuitable":3019,"opensource":622,"path":3023,"pillar":647,"platforms":3024,"priceTable":3026,"pricing":3046,"published":3047,"relatedPlaybooks":15,"relatedReviews":3048,"score":3053,"self_host":622,"seo":3054,"seoTitle":3055,"slug":14,"sources":3056,"stem":3067,"suitable":3068,"tagline":3074,"tags":3075,"updated":1399,"verdict":3082,"website":2201,"__hash__":3083},"tools\u002Ftools\u002Fagent\u002Fplatform\u002Fcoze.md","Coze",[2169,2170,2171],"agent\u002Fplatform\u002Fdify","agent\u002Fplatform\u002Ffastgpt","agent\u002Fplatform\u002Fyuanqi",[2173,2174,2175,2176,2177,2178],"OpenAI","Anthropic","百度文心","阿里通义","Moonshot Kimi","字节豆包",{"type":17,"value":2180,"toc":2992},[2181,2183,2224,2230,2233,2237,2240,2254,2263,2313,2322,2326,2329,2361,2369,2373,2376,2396,2400,2479,2489,2492,2495,2515,2524,2528,2564,2567,2570,2710,2726,2757,2760,2833,2835,2838,2855,2858,2888,2890,2955,2957,2984],[20,2182,23],{"id":22},[2184,2185,2190,2211],"div",{"className":2186},[2187,2188,2189],"card","p-5","my-4",[25,2191,2192,2195,2196,2210],{},[41,2193,2194],{},"一句话："," 字节跳动出品的低代码 Agent 平台，",[41,2197,2198,2199,2204,2205],{},"国内版 ",[278,2200,2203],{"href":2201,"rel":2202},"https:\u002F\u002Fwww.coze.cn",[282],"coze.cn","（中文叫\"扣子\"）+ 国际版 ",[278,2206,2209],{"href":2207,"rel":2208},"https:\u002F\u002Fwww.coze.com",[282],"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。",[25,2212,2213,2214,2217,2218,2223],{},"最大价值是 ",[41,2215,2216],{},"零代码、最快上手","——文档详细 + 中文社区活跃 + 模板多，根据 ",[278,2219,2222],{"href":2220,"rel":2221},"https:\u002F\u002Fwww.cnblogs.com\u002Fuulucias\u002Fp\u002F19449008",[282],"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\"。",[2225,2226,2227],"blockquote",{},[25,2228,2229],{},"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。",[20,2231,2232],{"id":2232},"核心特性",[1458,2234,2236],{"id":2235},"可视化工作流最大卖点","可视化工作流（最大卖点）",[25,2238,2239],{},"Coze 把 Agent 拆成两层：",[35,2241,2242,2248],{},[38,2243,2244,2247],{},[41,2245,2246],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[38,2249,2250,2253],{},[41,2251,2252],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[25,2255,2256,2257,2262],{},"工作流节点类型（基于 ",[278,2258,2261],{"href":2259,"rel":2260},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[282],"火山引擎社区 2025 实战","）：",[35,2264,2265,2271,2277,2283,2289,2295,2301,2307],{},[38,2266,2267,2270],{},[41,2268,2269],{},"开始 \u002F 结束节点","：输入输出",[38,2272,2273,2276],{},[41,2274,2275],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[38,2278,2279,2282],{},[41,2280,2281],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[38,2284,2285,2288],{},[41,2286,2287],{},"循环节点","：批量处理多条数据",[38,2290,2291,2294],{},[41,2292,2293],{},"条件节点","：分支判断",[38,2296,2297,2300],{},[41,2298,2299],{},"插件节点","：调 Coze 插件市场的工具",[38,2302,2303,2306],{},[41,2304,2305],{},"知识库节点","：RAG 检索",[38,2308,2309,2312],{},[41,2310,2311],{},"HTTP 节点","：调外部 API",[25,2314,2315,2316,2321],{},"典型用例（参考 ",[278,2317,2320],{"href":2318,"rel":2319},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[282],"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。",[1458,2323,2325],{"id":2324},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[25,2327,2328],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[35,2330,2331,2337,2343,2349,2355],{},[38,2332,2333,2336],{},[41,2334,2335],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[38,2338,2339,2342],{},[41,2340,2341],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[38,2344,2345,2348],{},[41,2346,2347],{},"联网搜索","：实时网页检索",[38,2350,2351,2354],{},[41,2352,2353],{},"代码执行","：在线运行 Python",[38,2356,2357,2360],{},[41,2358,2359],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[25,2362,2363,2368],{},[278,2364,2367],{"href":2365,"rel":2366},"https:\u002F\u002Fkouziai.github.io\u002F",[282],"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。",[1458,2370,2372],{"id":2371},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[25,2374,2375],{},"发布渠道：",[35,2377,2378,2381,2384,2387,2390,2393],{},[38,2379,2380],{},"飞书机器人（一键绑）",[38,2382,2383],{},"抖音 \u002F 头条号",[38,2385,2386],{},"微信小程序 \u002F 公众号（部分需企业认证）",[38,2388,2389],{},"自定义网页嵌入",[38,2391,2392],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[38,2394,2395],{},"Discord（国际版）",[1458,2397,2399],{"id":2398},"国内版-vs-国际版","国内版 vs 国际版",[302,2401,2402,2414],{},[305,2403,2404],{},[308,2405,2406,2408,2411],{},[311,2407,313],{},[311,2409,2410],{},"扣子（coze.cn）",[311,2412,2413],{},"Coze（coze.com）",[326,2415,2416,2427,2437,2446,2457,2468],{},[308,2417,2418,2421,2424],{},[331,2419,2420],{},"主力模型",[331,2422,2423],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[331,2425,2426],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[308,2428,2429,2432,2435],{},[331,2430,2431],{},"飞书 \u002F 抖音 \u002F 微信集成",[331,2433,2434],{},"✅ 原生",[331,2436,419],{},[308,2438,2439,2442,2444],{},[331,2440,2441],{},"Discord \u002F Slack 集成",[331,2443,1940],{},[331,2445,2434],{},[308,2447,2448,2451,2454],{},[331,2449,2450],{},"数据存储位置",[331,2452,2453],{},"国内",[331,2455,2456],{},"海外",[308,2458,2459,2462,2465],{},[331,2460,2461],{},"支付",[331,2463,2464],{},"微信 \u002F 支付宝",[331,2466,2467],{},"海外信用卡",[308,2469,2470,2473,2476],{},[331,2471,2472],{},"内容合规",[331,2474,2475],{},"严格审核",[331,2477,2478],{},"宽松",[25,2480,2481,2484,2485,2488],{},[41,2482,2483],{},"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 ",[41,2486,2487],{},"不互通","。",[20,2490,2491],{"id":2491},"价格与运行成本",[25,2493,2494],{},"国内版（扣子）：",[35,2496,2497,2503,2509],{},[38,2498,2499,2502],{},[41,2500,2501],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[38,2504,2505,2508],{},[41,2506,2507],{},"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",[38,2510,2511,2514],{},[41,2512,2513],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[25,2516,2517,2518,2523],{},"国际版（coze.com）的定价模式据 ",[278,2519,2522],{"href":2520,"rel":2521},"https:\u002F\u002Fdocs.coze.com\u002F",[282],"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。",[20,2525,2527],{"id":2526},"上手-10-分钟","上手 10 分钟",[287,2529,2530,2543,2546,2549,2552,2555,2558,2561],{},[38,2531,2532,2533,2537,2538,2542],{},"打开 ",[278,2534,2536],{"href":2201,"rel":2535},[282],"www.coze.cn","（国内）或 ",[278,2539,2541],{"href":2207,"rel":2540},[282],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[38,2544,2545],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[38,2547,2548],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[38,2550,2551],{},"写 Bot 角色 prompt",[38,2553,2554],{},"可选：上传 PDF \u002F 文档建知识库",[38,2556,2557],{},"测试一下对话效果",[38,2559,2560],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[38,2562,2563],{},"拿到调用 URL \u002F 飞书机器人 webhook",[25,2565,2566],{},"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。",[20,2568,2569],{"id":2569},"与同类怎么选",[302,2571,2572,2598],{},[305,2573,2574],{},[308,2575,2576,2578,2580,2586,2592],{},[311,2577,313],{},[311,2579,2167],{},[311,2581,2582],{},[278,2583,2585],{"href":2584},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify",[311,2587,2588],{},[278,2589,2591],{"href":2590},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[311,2593,2594],{},[278,2595,2597],{"href":2596},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[326,2599,2600,2612,2627,2642,2656,2669,2683,2697],{},[308,2601,2602,2604,2606,2608,2610],{},[331,2603,349],{},[331,2605,419],{},[331,2607,446],{},[331,2609,446],{},[331,2611,419],{},[308,2613,2614,2617,2620,2622,2624],{},[331,2615,2616],{},"私有部署",[331,2618,2619],{},"⚠️ 仅企业版",[331,2621,446],{},[331,2623,446],{},[331,2625,2626],{},"⚠️",[308,2628,2629,2631,2634,2637,2639],{},[331,2630,365],{},[331,2632,2633],{},"★ 最简单",[331,2635,2636],{},"★★★",[331,2638,2636],{},[331,2640,2641],{},"★★",[308,2643,2644,2647,2649,2652,2654],{},[331,2645,2646],{},"工作流编排",[331,2648,1973],{},[331,2650,2651],{},"★★★★★",[331,2653,1979],{},[331,2655,1979],{},[308,2657,2658,2661,2663,2665,2667],{},[331,2659,2660],{},"RAG 精度",[331,2662,1979],{},[331,2664,1973],{},[331,2666,2651],{},[331,2668,1979],{},[308,2670,2671,2674,2676,2678,2680],{},[331,2672,2673],{},"字节生态",[331,2675,2651],{},[331,2677,419],{},[331,2679,419],{},[331,2681,2682],{},"❌（腾讯系）",[308,2684,2685,2688,2691,2693,2695],{},[331,2686,2687],{},"插件市场",[331,2689,2690],{},"★★★★★ 200+",[331,2692,1979],{},[331,2694,1979],{},[331,2696,1979],{},[308,2698,2699,2702,2704,2706,2708],{},[331,2700,2701],{},"中文社区",[331,2703,2651],{},[331,2705,1973],{},[331,2707,1973],{},[331,2709,1973],{},[25,2711,2712,2715,2716,2721,2722,2262],{},[41,2713,2714],{},"怎么选","（综合 ",[278,2717,2720],{"href":2718,"rel":2719},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[282],"BestHub 2025-07"," 和 ",[278,2723,2725],{"href":2220,"rel":2724},[282],"博客园 2026-01",[35,2727,2728,2734,2742,2749],{},[38,2729,2730,2733],{},[41,2731,2732],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[38,2735,2736,2739,2740],{},[41,2737,2738],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[278,2741,2585],{"href":2584},[38,2743,2744,2739,2747],{},[41,2745,2746],{},"核心场景就是企业知识库 QA",[278,2748,2591],{"href":2590},[38,2750,2751,2739,2754],{},[41,2752,2753],{},"QQ \u002F 微信生态 + 腾讯系",[278,2755,2756],{"href":2596},"元器",[20,2758,2759],{"id":2759},"避坑清单",[35,2761,2762,2772,2778,2793,2803,2809,2821,2827],{},[38,2763,2764,2767,2768,2771],{},[41,2765,2766],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[41,2769,2770],{},"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",[38,2773,2774,2777],{},[41,2775,2776],{},"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",[38,2779,2780,2783,2784,2787,2788,2792],{},[41,2781,2782],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[214,2785,2786],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[278,2789,2791],{"href":2259,"rel":2790},[282],"火山引擎 2025 教程","）",[38,2794,2795,2798,2799,2802],{},[41,2796,2797],{},"工作流读取飞书表格默认 20 条","：要改 ",[214,2800,2801],{},"page_size","，最大 500 条；超过 500 要分页或循环",[38,2804,2805,2808],{},[41,2806,2807],{},"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",[38,2810,2811,2814,2815,2817,2818,2820],{},[41,2812,2813],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[278,2816,2585],{"href":2584}," \u002F ",[278,2819,2591],{"href":2590}," 自托管",[38,2822,2823,2826],{},[41,2824,2825],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[38,2828,2829,2832],{},[41,2830,2831],{},"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",[20,2834,518],{"id":517},[25,2836,2837],{},"✅ 适合：",[35,2839,2840,2843,2846,2849,2852],{},[38,2841,2842],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[38,2844,2845],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[38,2847,2848],{},"个人副业（小红书账号批量内容生成等）",[38,2850,2851],{},"中小企业客服 Bot（3 天上线）",[38,2853,2854],{},"想用豆包 \u002F DeepSeek 国产模型的人",[25,2856,2857],{},"❌ 不适合：",[35,2859,2860,2863,2866,2871,2878],{},[38,2861,2862],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[38,2864,2865],{},"复杂业务系统深度集成（自由度不够）",[38,2867,2868,2869,2792],{},"反感字节生态（去 ",[278,2870,2585],{"href":2584},[38,2872,2873,2874,2817,2876,2792],{},"希望开源 \u002F 完全自主可控（去 ",[278,2875,2585],{"href":2584},[278,2877,2591],{"href":2590},[38,2879,2880,2881,2817,2883,2887],{},"海外 toB SaaS 产品后端（",[278,2882,2585],{"href":2584},[278,2884,2886],{"href":2885},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[20,2889,550],{"id":550},[35,2891,2892,2907,2925,2944],{},[38,2893,2894,2895,2817,2897,2817,2899,2817,2901,2817,2903],{},"同类对比：",[278,2896,2585],{"href":2584},[278,2898,2591],{"href":2590},[278,2900,2756],{"href":2596},[278,2902,2886],{"href":2885},[278,2904,2906],{"href":2905},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[38,2908,2909,2910,2817,2914,2817,2918,2817,2922],{},"概念：",[278,2911,2913],{"href":2912},"\u002Fwiki\u002Fai-agent.html","AI Agent",[278,2915,2917],{"href":2916},"\u002Fwiki\u002Frag.html","RAG",[278,2919,2921],{"href":2920},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[278,2923,2924],{"href":2912},"Multi-Agent",[38,2926,2927,2928,2817,2932,2817,2936,2817,2940],{},"模型：",[278,2929,2931],{"href":2930},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[278,2933,2935],{"href":2934},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[278,2937,2939],{"href":2938},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[278,2941,2943],{"href":2942},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[38,2945,2946,2947,2817,2951],{},"进阶：",[278,2948,2950],{"href":2949},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[278,2952,2954],{"href":2953},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[20,2956,573],{"id":573},[35,2958,2959,2965,2971,2978,2981],{},[38,2960,2961,2962],{},"国内版：",[278,2963,2201],{"href":2201,"rel":2964},[282],[38,2966,2967,2968],{},"国际版：",[278,2969,2207],{"href":2207,"rel":2970},[282],[38,2972,2973,2974],{},"官方文档：",[278,2975,2976],{"href":2976,"rel":2977},"https:\u002F\u002Fdocs.coze.com",[282],[38,2979,2980],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[38,2982,2983],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[25,2985,2986,2987,2991],{},"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 ",[278,2988,2990],{"href":2989},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":212,"searchDepth":249,"depth":249,"links":2993},[2994,2995,3001,3002,3003,3004,3005,3006,3007],{"id":22,"depth":227,"text":23},{"id":2232,"depth":227,"text":2232,"children":2996},[2997,2998,2999,3000],{"id":2235,"depth":249,"text":2236},{"id":2324,"depth":249,"text":2325},{"id":2371,"depth":249,"text":2372},{"id":2398,"depth":249,"text":2399},{"id":2491,"depth":227,"text":2491},{"id":2526,"depth":227,"text":2527},{"id":2569,"depth":227,"text":2569},{"id":2759,"depth":227,"text":2759},{"id":517,"depth":227,"text":518},{"id":550,"depth":227,"text":550},{"id":573,"depth":227,"text":573},"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。",[1378,642],{},[3014,3015,3016,3017,3018],"doubao-pro","deepseek-v3","qwen-max","gpt-4o (国际版)","claude (国际版)",[3020,3021,3022],"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",[3025],"web",[3027,3032,3037,3041],{"plan":3028,"price":3029,"limit":3030,"cn_pay":2119,"note":3031},"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":2507,"price":3033,"limit":3034,"cn_pay":3035,"note":3036},"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":2513,"price":3038,"limit":3039,"cn_pay":446,"note":3040},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":3042,"price":3043,"cn_pay":3044,"note":3045,"limit":2119},"国际版 (coze.com)","免费起步 + 用量计费","需海外卡","可接 GPT\u002FClaude\u002FGemini","免费档 \u002F 专业版按调用计费 \u002F 企业版议价","2026-06-18",[3049,3050,3051,3052],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":256,"ux":262,"price":256,"cn_support":262,"stability":256},{"title":2167,"description":3010},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify",[3057,3059,3061,3063,3065],{"title":3058,"url":2201},"Coze 国内版（扣子）",{"title":3060,"url":2207},"Coze 国际版",{"title":3062,"url":2976},"Coze 官方文档",{"title":3064,"url":2220},"Coze vs Dify vs FastGPT 选型 2026",{"title":3066,"url":2718},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[3069,3070,3071,3072,3073],"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",[3076,3077,3078,3079,3080,3081],"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。","FZEpZL7kS1YIIYCXTqqZ8C0eWBWLu82UpKE4B1geW7M",1785660639132]