[{"data":1,"prerenderedAt":8949},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman":9,"cat-rank-agent-general":687,"tool-related-agent\u002Fgeneral\u002Fopenhuman":5809,"tool-alts-agent\u002Fgeneral\u002Fopenhuman":5810,"tool-reviews-agent\u002Fgeneral\u002Fopenhuman":7724},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,{"id":10,"title":11,"alternatives":12,"api_compatible":16,"body":17,"category":620,"chinese_friendly":250,"cover":621,"description":622,"domestic":623,"extension":624,"faq":625,"free":623,"github":16,"languages":641,"lastVerified":16,"meta":644,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":645,"pillar":646,"platforms":647,"priceTable":651,"pricing":660,"published":661,"relatedPlaybooks":662,"relatedReviews":664,"score":666,"self_host":253,"seo":667,"seoTitle":16,"slug":668,"sources":669,"stem":676,"suitable":16,"tagline":677,"tags":678,"updated":661,"verdict":685,"website":281,"__hash__":686},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman.md","OpenHuman",[13,14,15],"agent\u002Fgeneral\u002Fopenmanus","agent\u002Fgeneral\u002Fhermes-agent","agent\u002Fplatform\u002Fcoze",null,{"type":18,"value":19,"toc":608},"minimark",[20,25,29,32,35,124,127,144,148,153,176,181,204,207,275,284,287,299,302,469,472,516,520,549,552,572,575,604],[21,22,24],"h2",{"id":23},"tldr","TL;DR",[26,27,28],"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。",[26,30,31],{},"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。",[21,33,34],{"id":34},"核心能力",[36,37,38,46,52,58,64,70,76,82,88,94,100,106,112,118],"ul",{},[39,40,41,45],"li",{},[42,43,44],"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",[39,47,48,51],{},[42,49,50],{},"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",[39,53,54,57],{},[42,55,56],{},"TokenJuice 智能压缩","：HTML→Markdown \u002F URL 缩短 \u002F 去重，最高省 80% token",[39,59,60,63],{},[42,61,62],{},"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",[39,65,66,69],{},[42,67,68],{},"桌面吉祥物","：有表情、会说话的桌面小伙伴，响应环境变化",[39,71,72,75],{},[42,73,74],{},"Google Meet 参会","：以真实参与者身份加入线上会议",[39,77,78,81],{},[42,79,80],{},"语音交互","：STT 语音输入 + ElevenLabs TTS 语音输出 + 唇形同步",[39,83,84,87],{},[42,85,86],{},"后台持续思考","：即使不主动交互，也在后台分析和整理信息",[39,89,90,93],{},[42,91,92],{},"自动同步","：每 20 分钟自动遍历所有活跃连接，拉取最新数据",[39,95,96,99],{},[42,97,98],{},"Obsidian 兼容","：记忆以 Markdown 形式存储，可直接用 Obsidian 查看\u002F编辑",[39,101,102,105],{},[42,103,104],{},"本地优先","：核心数据存储在本地 SQLite，不上传云端",[39,107,108,111],{},[42,109,110],{},"本地加密","：数据在设备端加密存储",[39,113,114,117],{},[42,115,116],{},"Ollama 支持","：可运行本地 LLM，敏感任务完全不上云",[39,119,120,123],{},[42,121,122],{},"GPL-3.0 开源","：完整源码可审计、可定制",[21,125,126],{"id":126},"价格",[36,128,129,135,141],{},[39,130,131,134],{},[42,132,133],{},"统一订阅","：价格待定（Early Beta）；一价全包所有模型 + 自动路由",[39,136,137,140],{},[42,138,139],{},"自托管","：$0；GPL-3.0 协议，需自备 LLM API 或本地 Ollama 模型",[39,142,143],{},"自托管一次中等任务 API 费用 $0.02-0.5（取决于模型选择）",[21,145,147],{"id":146},"实测个人-ai-助手场景","实测（个人 AI 助手场景）",[26,149,150],{},[42,151,152],{},"亮点：",[36,154,155,158,161,164,167,170,173],{},[39,156,157],{},"Memory Tree 让 AI 真正拥有\"长期记忆\"，不是每次对话从零开始",[39,159,160],{},"118+ 集成开箱即用，OAuth 一键连接，无需手动配置 API",[39,162,163],{},"TokenJuice 压缩效果显著，实测 token 消耗降低 60-80%",[39,165,166],{},"桌面 UI 设计精美，吉祥物交互有趣，不是命令行工具",[39,168,169],{},"自动同步机制省心，不用手动通知 AI 新信息",[39,171,172],{},"Obsidian 兼容让记忆透明可读，用户完全掌控自己的数据",[39,174,175],{},"智能模型路由省去手动切换模型的麻烦",[26,177,178],{},[42,179,180],{},"踩坑：",[36,182,183,186,189,192,195,198,201],{},[39,184,185],{},"Early Beta 阶段，功能迭代快，偶尔有 breaking change",[39,187,188],{},"中文支持依赖底层模型，部分场景效果不如英文",[39,190,191],{},"OAuth 连接器稳定性参差不齐，部分服务偶尔断连",[39,193,194],{},"桌面吉祥物 CPU\u002F内存占用不低，低配机器略卡",[39,196,197],{},"文档尚在完善中，部分功能缺少详细说明",[39,199,200],{},"自动同步频率固定 20 分钟，无法手动触发即时同步",[39,202,203],{},"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",[21,205,206],{"id":206},"上手",[208,209,214],"pre",{"className":210,"code":211,"language":212,"meta":213,"style":213},"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","",[215,216,217,226,248,255,261],"code",{"__ignoreMap":213},[218,219,222],"span",{"class":220,"line":221},"line",1,[218,223,225],{"class":224},"sJ8bj","# macOS \u002F Linux\n",[218,227,229,233,237,241,245],{"class":220,"line":228},2,[218,230,232],{"class":231},"sScJk","curl",[218,234,236],{"class":235},"sj4cs"," -fsSL",[218,238,240],{"class":239},"sZZnC"," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh",[218,242,244],{"class":243},"szBVR"," |",[218,246,247],{"class":231}," bash\n",[218,249,251],{"class":220,"line":250},3,[218,252,254],{"emptyLinePlaceholder":253},true,"\n",[218,256,258],{"class":220,"line":257},4,[218,259,260],{"class":224},"# Windows (PowerShell)\n",[218,262,264,267,270,272],{"class":220,"line":263},5,[218,265,266],{"class":231},"irm",[218,268,269],{"class":239}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1",[218,271,244],{"class":243},[218,273,274],{"class":231}," iex\n",[26,276,277,278],{},"或从官网下载安装包：",[279,280,281],"a",{"href":281,"rel":282},"https:\u002F\u002Ftinyhumans.ai\u002Fopenhuman",[283],"nofollow",[26,285,286],{},"首次启动后：",[288,289,290,293,296],"ol",{},[39,291,292],{},"完成 OAuth 授权连接你的邮箱 \u002F 日历 \u002F 文档 \u002F 代码仓库",[39,294,295],{},"等待 2-5 分钟初始数据同步（Memory Tree 自动构建）",[39,297,298],{},"开始对话——AI 已经知道你的工作背景和习惯",[21,300,301],{"id":301},"对比",[303,304,305,326],"table",{},[306,307,308],"thead",{},[309,310,311,315,317,320,323],"tr",{},[312,313,314],"th",{},"维度",[312,316,11],{},[312,318,319],{},"Claude Cowork",[312,321,322],{},"OpenClaw",[312,324,325],{},"Hermes Agent",[327,328,329,346,362,378,395,411,425,441,454],"tbody",{},[309,330,331,335,338,341,344],{},[332,333,334],"td",{},"形态",[332,336,337],{},"桌面应用",[332,339,340],{},"桌面+CLI",[332,342,343],{},"终端",[332,345,343],{},[309,347,348,351,354,357,360],{},[332,349,350],{},"开源",[332,352,353],{},"✅ GPL-3.0",[332,355,356],{},"❌ 专有",[332,358,359],{},"✅ MIT",[332,361,359],{},[309,363,364,367,370,373,376],{},[332,365,366],{},"上手难度",[332,368,369],{},"✅ UI 优先，几分钟",[332,371,372],{},"✅ 桌面",[332,374,375],{},"⚠️ 终端",[332,377,375],{},[309,379,380,383,386,389,392],{},[332,381,382],{},"长期记忆",[332,384,385],{},"✅ Memory Tree",[332,387,388],{},"⚠️ 对话级",[332,390,391],{},"⚠️ 依赖插件",[332,393,394],{},"✅ 自学习",[309,396,397,400,403,406,409],{},[332,398,399],{},"集成数量",[332,401,402],{},"118+ OAuth",[332,404,405],{},"少",[332,407,408],{},"需自建",[332,410,408],{},[309,412,413,415,418,421,423],{},[332,414,92],{},[332,416,417],{},"✅ 20分钟",[332,419,420],{},"❌",[332,422,420],{},[332,424,420],{},[309,426,427,430,433,436,439],{},[332,428,429],{},"模型路由",[332,431,432],{},"✅ 内置智能",[332,434,435],{},"❌ 单一",[332,437,438],{},"⚠️ 手动",[332,440,438],{},[309,442,443,445,448,450,452],{},[332,444,68],{},[332,446,447],{},"✅",[332,449,420],{},[332,451,420],{},[332,453,420],{},[309,455,456,459,461,464,467],{},[332,457,458],{},"隐私",[332,460,104],{},[332,462,463],{},"云端",[332,465,466],{},"本地",[332,468,466],{},[21,470,471],{"id":471},"避坑",[36,473,474,480,486,492,498,504,510],{},[39,475,476,479],{},[42,477,478],{},"Early Beta 不稳定","：功能迭代快，关键工作建议备份记忆数据",[39,481,482,485],{},[42,483,484],{},"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",[39,487,488,491],{},[42,489,490],{},"OAuth 断连","：部分服务 token 会过期，需定期检查连接状态",[39,493,494,497],{},[42,495,496],{},"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",[39,499,500,503],{},[42,501,502],{},"资源占用","：桌面吉祥物 + 后台同步建议 8GB+ 内存",[39,505,506,509],{},[42,507,508],{},"网络依赖","：OAuth 连接和远程模型调用需要稳定网络",[39,511,512,515],{},[42,513,514],{},"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",[21,517,519],{"id":518},"适合-不适合","适合 \u002F 不适合",[36,521,522,525,528,531,534,537,540,543,546],{},[39,523,524],{},"✅ 追求个人 AI 助手真正了解你的知识工作者",[39,526,527],{},"✅ Obsidian 用户，希望 AI 自动维护知识库",[39,529,530],{},"✅ 工作流跨越多个工具（Gmail \u002F Slack \u002F Notion \u002F GitHub）",[39,532,533],{},"✅ 关注数据隐私，希望敏感信息保留在本地",[39,535,536],{},"✅ 愿意尝试 Early Beta，能接受快速迭代",[39,538,539],{},"❌ 追求极致轻量，不需要那么多集成功能",[39,541,542],{},"❌ 对隐私要求极高，希望完全离线运行",[39,544,545],{},"❌ 无法接受 Beta 产品的粗糙边缘和偶发 bug",[39,547,548],{},"❌ 需要中文深度优化（当前英文体验最佳）",[21,550,551],{"id":551},"相关阅读",[36,553,554,560,566],{},[39,555,556],{},[279,557,559],{"href":558},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus 工具卡：开源版 Manus",[39,561,562],{},[279,563,565],{"href":564},"\u002Fagent\u002Fgeneral\u002Fhermes-agent.html","Hermes Agent 工具卡：自学习 AI Agent",[39,567,568],{},[279,569,571],{"href":570},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze 平台评测",[21,573,574],{"id":574},"来源",[288,576,577,584,590,597],{},[39,578,579,580],{},"OpenHuman GitHub 主仓库 + TinyHumans 组织 ",[279,581,582],{"href":582,"rel":583},"https:\u002F\u002Fgithub.com\u002Ftinyhumansai\u002Fopenhuman",[283],[39,585,586,587],{},"OpenHuman 官网 ",[279,588,281],{"href":281,"rel":589},[283],[39,591,592,593],{},"OpenHuman 文档 ",[279,594,595],{"href":595,"rel":596},"https:\u002F\u002Ftinyhumans.gitbook.io\u002Fopenhuman",[283],[39,598,599,600],{},"OpenHuman Discord ",[279,601,602],{"href":602,"rel":603},"https:\u002F\u002Fdiscord.tinyhumans.ai\u002F",[283],[605,606,607],"style",{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki 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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":213,"searchDepth":250,"depth":250,"links":609},[610,611,612,613,614,615,616,617,618,619],{"id":23,"depth":228,"text":24},{"id":34,"depth":228,"text":34},{"id":126,"depth":228,"text":126},{"id":146,"depth":228,"text":147},{"id":206,"depth":228,"text":206},{"id":301,"depth":228,"text":301},{"id":471,"depth":228,"text":471},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"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",[626,629,632,635,638],{"q":627,"a":628},"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":630,"a":631},"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":633,"a":634},"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":636,"a":637},"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":639,"a":640},"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。",[642,643],"en","multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman","agent",[648,649,650],"linux","macos","windows",[652,656],{"plan":133,"price":653,"features":654,"notes":655},"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":139,"price":657,"features":658,"notes":659},"$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",[663],"onboarding\u002Fpersonal-ai-agent",[665],"openhuman-deep-review",{"power":257,"ux":263,"price":257,"cn_support":250,"stability":250},{"title":11,"description":622},"agent\u002Fgeneral\u002Fopenhuman",[670,672,674],{"name":671,"url":582,"accessed":661},"OpenHuman GitHub（TinyHumans 组织）",{"name":673,"url":281,"accessed":661},"OpenHuman 官网",{"name":675,"url":595,"accessed":661},"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",[679,680,681,646,682,683,684],"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。","04_vvWTbB6SIvLrj3ZPMYuag3r930_UxuzpUgV7DQjI",[688,1264,1811,2368,3127,4092,4674,5112],{"id":689,"title":690,"alternatives":691,"api_compatible":16,"body":695,"category":620,"chinese_friendly":250,"cover":1205,"description":1206,"domestic":623,"extension":624,"faq":1207,"free":623,"github":16,"languages":1220,"lastVerified":16,"meta":1221,"models":16,"navigation":253,"notSuitable":16,"opensource":623,"path":1222,"pillar":646,"platforms":1223,"priceTable":1224,"pricing":1237,"published":1238,"relatedPlaybooks":1239,"relatedReviews":16,"score":1241,"self_host":623,"seo":1242,"seoTitle":16,"slug":1243,"sources":1244,"stem":1253,"suitable":16,"tagline":1254,"tags":1255,"updated":1246,"verdict":1261,"website":1262,"__hash__":1263},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[692,693,694],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fdesktop\u002Fopenclaw","agent\u002Fgeneral\u002Fflowith",{"type":18,"value":696,"toc":1193},[697,699,702,705,707,775,777,800,806,810,814,837,841,867,869,892,894,1053,1055,1111,1113,1139,1141,1161,1163],[21,698,24],{"id":23},[26,700,701],{},"Alice（heyalice.app）是 Greg Rog \u002F Techsistence 团队 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手，2026-02 版本 5.0 发布，8000+ 创作者使用。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储零云依赖 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。无月费订阅，3 周免费试用 + 一次买断 ~$59-99。",[26,703,704],{},"适合：macOS \u002F Windows 党 + 想全局快捷键唤起 AI；多模型用户不想被单 vendor 锁定；隐私敏感 + 不愿数据上云；自由职业 \u002F 个人开发者 + 不喜欢月费订阅。不适合：纯网页党（无 web 版）；移动设备主力（无 iOS \u002F Android）；团队协作 + 共享 workspace；不愿管理 API Key 的纯用户。",[21,706,34],{"id":34},[36,708,709,715,721,727,733,739,745,751,757,763,769],{},[39,710,711,714],{},[42,712,713],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[39,716,717,720],{},[42,718,719],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[39,722,723,726],{},[42,724,725],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[39,728,729,732],{},[42,730,731],{},"200+ Skills","：power user 社区贡献的能力包",[39,734,735,738],{},[42,736,737],{},"MCP 集成","：可调用 MCP server 工具",[39,740,741,744],{},[42,742,743],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[39,746,747,750],{},[42,748,749],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[39,752,753,756],{},[42,754,755],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[39,758,759,762],{},[42,760,761],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[39,764,765,768],{},[42,766,767],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[39,770,771,774],{},[42,772,773],{},"3 周免费试用","：体验完整再决策",[21,776,126],{"id":126},[36,778,779,785,791,797],{},[39,780,781,784],{},[42,782,783],{},"Free Trial","：3 周完整功能，无信用卡",[39,786,787,790],{},[42,788,789],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[39,792,793,796],{},[42,794,795],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[39,798,799],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[801,802,803],"blockquote",{},[26,804,805],{},"真实成本预估：重度日用 GPT-5.x \u002F Claude 一个月 $30-80 API 费 + 一次买断 ~$59 = 第一年总投入约 $400-500，长期省于 ChatGPT Pro 月费。",[21,807,809],{"id":808},"实测macos-主力-自由职业-多模型混用","实测（macOS 主力 \u002F 自由职业 \u002F 多模型混用）",[26,811,812],{},[42,813,152],{},[36,815,816,819,822,825,828,831,834],{},[39,817,818],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[39,820,821],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[39,823,824],{},"50+ Assistants 节省 prompt engineering 时间",[39,826,827],{},"数据本地 + 无 telemetry，隐私党非常友好",[39,829,830],{},"一次买断 vs 多家月费的累计性价比高",[39,832,833],{},"BYO API 让账单透明，不会有平台抽成",[39,835,836],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[26,838,839],{},[42,840,180],{},[36,842,843,846,849,852,855,858,861,864],{},[39,844,845],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[39,847,848],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[39,850,851],{},"移动端缺失，出门用不上",[39,853,854],{},"Linux 版本更新偶尔比 macOS 慢",[39,856,857],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[39,859,860],{},"50+ Assistants 质量参差，要挑高赞的用",[39,862,863],{},"团队协作 \u002F 云同步不是产品重点",[39,865,866],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[21,868,206],{"id":206},[288,870,871,874,877,880,883,886,889],{},[39,872,873],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[39,875,876],{},"启动 → 3 周免费试用激活",[39,878,879],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[39,881,882],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[39,884,885],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[39,887,888],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[39,890,891],{},"满意后选 Personal $59 \u002F Business $99 买断",[21,893,301],{"id":301},[303,895,896,913],{},[306,897,898],{},[309,899,900,902,904,907,910],{},[312,901,314],{},[312,903,690],{},[312,905,906],{},"Raycast AI",[312,908,909],{},"Claude Desktop",[312,911,912],{},"ChatGPT Desktop",[327,914,915,931,947,963,978,993,1007,1023,1036],{},[309,916,917,920,923,926,929],{},[332,918,919],{},"全局 hotkey",[332,921,922],{},"✅ 顶级",[332,924,925],{},"✅ Raycast",[332,927,928],{},"弱",[332,930,928],{},[309,932,933,936,938,941,944],{},[332,934,935],{},"BYO API",[332,937,447],{},[332,939,940],{},"❌ 内置",[332,942,943],{},"❌ Anthropic",[332,945,946],{},"❌ OpenAI",[309,948,949,952,955,958,961],{},[332,950,951],{},"一次买断",[332,953,954],{},"✅ $59-99",[332,956,957],{},"$10\u002F月",[332,959,960],{},"$20\u002F月",[332,962,960],{},[309,964,965,968,970,972,975],{},[332,966,967],{},"多模型一窗",[332,969,447],{},[332,971,447],{},[332,973,974],{},"Claude only",[332,976,977],{},"OpenAI only",[309,979,980,983,985,988,991],{},[332,981,982],{},"MCP",[332,984,447],{},[332,986,987],{},"部分",[332,989,990],{},"✅ 旗舰",[332,992,987],{},[309,994,995,997,1000,1003,1005],{},[332,996,755],{},[332,998,999],{},"✅ 零云",[332,1001,1002],{},"–",[332,1004,1002],{},[332,1006,1002],{},[309,1008,1009,1012,1015,1018,1020],{},[332,1010,1011],{},"平台",[332,1013,1014],{},"macOS\u002FWin\u002FLinux",[332,1016,1017],{},"macOS only",[332,1019,1014],{},[332,1021,1022],{},"macOS\u002FWin",[309,1024,1025,1028,1030,1032,1034],{},[332,1026,1027],{},"移动端",[332,1029,420],{},[332,1031,420],{},[332,1033,1002],{},[332,1035,447],{},[309,1037,1038,1041,1044,1047,1050],{},[332,1039,1040],{},"适合",[332,1042,1043],{},"全局 AI + 多模型 + 买断",[332,1045,1046],{},"Mac 启动器 + AI",[332,1048,1049],{},"MCP 生态",[332,1051,1052],{},"OpenAI 全家桶",[21,1054,471],{"id":471},[36,1056,1057,1063,1069,1075,1081,1087,1093,1099,1105],{},[39,1058,1059,1062],{},[42,1060,1061],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[39,1064,1065,1068],{},[42,1066,1067],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[39,1070,1071,1074],{},[42,1072,1073],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[39,1076,1077,1080],{},[42,1078,1079],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[39,1082,1083,1086],{},[42,1084,1085],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[39,1088,1089,1092],{},[42,1090,1091],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[39,1094,1095,1098],{},[42,1096,1097],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[39,1100,1101,1104],{},[42,1102,1103],{},"不要一次升级到最新版","：5.x 改动大，pin minor 版本观察社区反馈",[39,1106,1107,1110],{},[42,1108,1109],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[21,1112,519],{"id":518},[36,1114,1115,1118,1121,1124,1127,1130,1133,1136],{},[39,1116,1117],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[39,1119,1120],{},"✅ 多模型用户不想被单 vendor 锁定",[39,1122,1123],{},"✅ 隐私敏感 + 数据全本地",[39,1125,1126],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[39,1128,1129],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[39,1131,1132],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[39,1134,1135],{},"❌ 不想管理 API Key 的纯用户",[39,1137,1138],{},"❌ 中国大陆海外卡 + API 不可得",[21,1140,551],{"id":551},[36,1142,1143,1149,1155],{},[39,1144,1145],{},[279,1146,1148],{"href":1147},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[39,1150,1151],{},[279,1152,1154],{"href":1153},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw","OpenClaw 评测",[39,1156,1157],{},[279,1158,1160],{"href":1159},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","Flowith 评测",[21,1162,574],{"id":574},[288,1164,1165,1172,1179,1186],{},[39,1166,1167,1168],{},"Alice 官网（heyalice.app）",[279,1169,1170],{"href":1170,"rel":1171},"https:\u002F\u002Fheyalice.app\u002F",[283],[39,1173,1174,1175],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[279,1176,1177],{"href":1177,"rel":1178},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[283],[39,1180,1181,1182],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[279,1183,1184],{"href":1184,"rel":1185},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[283],[39,1187,1188,1189],{},"Skywork — Alice AI Ultimate 2026 Guide ",[279,1190,1191],{"href":1191,"rel":1192},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[283],{"title":213,"searchDepth":250,"depth":250,"links":1194},[1195,1196,1197,1198,1199,1200,1201,1202,1203,1204],{"id":23,"depth":228,"text":24},{"id":34,"depth":228,"text":34},{"id":126,"depth":228,"text":126},{"id":808,"depth":228,"text":809},{"id":206,"depth":228,"text":206},{"id":301,"depth":228,"text":301},{"id":471,"depth":228,"text":471},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"\u002Fimg\u002Ftools\u002Falice.webp","Alice 真实评测：Greg Rog \u002F Techsistence 团队出品的 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手（heyalice.app）。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。版本 5.0 已发布，8000+ 创作者使用。3 周免费试用，无月费订阅，付费一次买断。",[1208,1211,1214,1217],{"q":1209,"a":1210},"Alice 和 Raycast AI \u002F Claude Desktop \u002F ChatGPT Desktop 怎么选？","Alice 强在『全局快捷键 + BYO API + 一次买断 + 隐私本地』——多模型用户 \u002F 自由职业 \u002F 隐私敏感党最划算。Raycast AI 是 Raycast 启动器内置 AI，深度集成快捷指令但限 Raycast 生态。Claude Desktop 强 MCP + Anthropic 模型。ChatGPT Desktop 强 OpenAI 全家桶。要 Mac 全局 hotkey + 多模型 + 不订阅 → Alice；要工具栏启动器 + 简单 AI → Raycast AI；要 MCP 生态 → Claude Desktop。",{"q":1212,"a":1213},"为什么要自带 API Key？","Alice 自身不卖 LLM 服务，让你直接用 OpenAI \u002F Anthropic \u002F Google \u002F xAI \u002F Groq 的 API。优点：透明计费 + 同一 key 多工具复用 + 不依赖 Alice 商业稳定。缺点：要自己申请 + 充值多家 API + 重度用户成本估算难。OpenRouter 可以一个 key 接所有模型。",{"q":1215,"a":1216},"Skills 和 Assistants 区别？","Assistant 是预配置 system prompt + 工具 + 模型的『角色』（如 'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius'），打开就是这个角色；Skill 是 Assistant 内部可调用的『能力包』（搜索 \u002F 摘要 \u002F 翻译 \u002F 数据分析等）。50+ Assistants + 200+ Skills 由 power user 社区贡献，免费可装。",{"q":1218,"a":1219},"中国大陆能用吗？","App 本身可下载 + 本地运行。海外信用卡买断 + 海外 LLM API Key 是门槛。OpenRouter 中转可接国产模型（智谱 \u002F DeepSeek \u002F Qwen），跑国内场景。隐私上数据全本地存储，无国外服务器同步。",[642],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",[649,650,648],[1225,1229,1233],{"plan":783,"price":1226,"features":1227,"notes":1228},"$0 · 3 周","完整功能体验","无信用卡",{"plan":789,"price":1230,"features":1231,"notes":1232},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":795,"price":1234,"features":1235,"notes":1236},"~$99 一次","Personal + 优先支持 + 商用授权 + 更新永久免费","商业 \u002F 团队","$59-99 一次买断 + 3 周免费试用 \u002F 自带 API Key 走 LLM 计费","2026-06-19",[1240],"onboarding\u002Fmacos-global-ai-workflow",{"power":257,"ux":263,"price":257,"cn_support":250,"stability":257},{"title":690,"description":1206},"agent\u002Fgeneral\u002Falice",[1245,1247,1249,1251],{"name":1167,"url":1170,"accessed":1246},"2026-06-24",{"name":1248,"url":1177,"accessed":1246},"Comparateur-IA — Alice AI Review 2026",{"name":1250,"url":1184,"accessed":1246},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1252,"url":1191,"accessed":1246},"Skywork — Alice AI Ultimate 2026 Guide","tools\u002Fagent\u002Fgeneral\u002Falice","heyalice.app 桌面 AI 助手——OS 级全局快捷键 + 多模型 + 50+ Assistants \u002F 200+ Skills",[1256,1257,1258,1259,1260,649],"desktop-assistant","multi-model","byo-api","privacy","hotkey","桌面 AI 助手里最像 Raycast 的存在——全局快捷键 + 一次买断 + 自带 API。重度多模型用户 + macOS 党 + 隐私敏感首选。要团队协作 \u002F 云同步走 Claude Desktop \u002F ChatGPT Team。","https:\u002F\u002Fheyalice.app","-juFVoVCOe2IMWYOktV5tVOtNYMShjUQt6rV32PxbPE",{"id":1265,"title":1266,"alternatives":1267,"api_compatible":16,"body":1269,"category":620,"chinese_friendly":257,"cover":1748,"description":1749,"domestic":623,"extension":624,"faq":1750,"free":623,"github":16,"languages":1763,"lastVerified":16,"meta":1765,"models":16,"navigation":253,"notSuitable":16,"opensource":623,"path":1159,"pillar":646,"platforms":1766,"priceTable":1770,"pricing":1786,"published":1238,"relatedPlaybooks":1787,"relatedReviews":1789,"score":1791,"self_host":623,"seo":1792,"seoTitle":16,"slug":694,"sources":1793,"stem":1802,"suitable":16,"tagline":1803,"tags":1804,"updated":1246,"verdict":1809,"website":1713,"__hash__":1810},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[1268,1243,692],"agent\u002Fgeneral\u002Fgenspark",{"type":18,"value":1270,"toc":1736},[1271,1273,1276,1279,1281,1343,1345,1371,1376,1380,1384,1407,1411,1437,1439,1459,1461,1594,1596,1657,1659,1685,1687,1704,1706],[21,1272,24],{"id":23},[26,1274,1275],{},"Flowith 是新加坡公司 Flowith Technologies Pte. Ltd.（2023 创立）打造的画布式 AI 工作空间。差异点：无限 2D 画布把每次 AI 交互变成可分支可合并的节点 + Agent Neo（10M token 上下文 \u002F 1000+ 自治步骤）+ Knowledge Garden（文档原子化成 Seeds）+ 40+ AI 模型一站接入 + FlowithOS 早期预览。2024-08 Product Hunt 当日 #1，2026 已有 100 万+ 用户，背后有 Stripe \u002F NVIDIA Inception \u002F Google for Startups \u002F Microsoft \u002F AWS。",[26,1277,1278],{},"适合：研究 \u002F 内容生产 \u002F 网站搭建 \u002F 长期项目 + 多线程并行；要 10M token 超长上下文做深度分析；想画布一眼看整个项目结构；多模型对比 + 长任务自治需求。不适合：纯简单问答（杀鸡用牛刀）；预算紧（credit 消耗快）；线性思维偏好用户（画布反而增加心智负担）；不愿学习曲线的纯小白。",[21,1280,34],{"id":34},[36,1282,1283,1289,1295,1301,1307,1313,1319,1325,1331,1337],{},[39,1284,1285,1288],{},[42,1286,1287],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[39,1290,1291,1294],{},[42,1292,1293],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[39,1296,1297,1300],{},[42,1298,1299],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[39,1302,1303,1306],{},[42,1304,1305],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[39,1308,1309,1312],{},[42,1310,1311],{},"多线程并行","：同时跑多个 thread，画布一览",[39,1314,1315,1318],{},[42,1316,1317],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[39,1320,1321,1324],{},[42,1322,1323],{},"iOS App","：2026 上线，移动 workspace 访问",[39,1326,1327,1330],{},[42,1328,1329],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[39,1332,1333,1336],{},[42,1334,1335],{},"商业授权","：Pro+ 包含商业使用权",[39,1338,1339,1342],{},[42,1340,1341],{},"Web Control UI","：浏览器原生，多设备同步",[21,1344,126],{"id":126},[36,1346,1347,1353,1359,1365],{},[39,1348,1349,1352],{},[42,1350,1351],{},"Free","：$0；300 一次性 credits（试水级）",[39,1354,1355,1358],{},[42,1356,1357],{},"Pro","：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[39,1360,1361,1364],{},[42,1362,1363],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[39,1366,1367,1370],{},[42,1368,1369],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[801,1372,1373],{},[26,1374,1375],{},"真实成本：跑 Agent Neo 长任务一次 5k-20k credits，Pro 一月 1-3 个完整 Neo 任务 + 日常多线程对话；重度建议 Ultimate 起。",[21,1377,1379],{"id":1378},"实测深度研究-多线程内容生产","实测（深度研究 \u002F 多线程内容生产）",[26,1381,1382],{},[42,1383,152],{},[36,1385,1386,1389,1392,1395,1398,1401,1404],{},[39,1387,1388],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[39,1390,1391],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[39,1393,1394],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[39,1396,1397],{},"40+ 模型一窗体内切换 + 对比",[39,1399,1400],{},"多设备同步流畅",[39,1402,1403],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[39,1405,1406],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[26,1408,1409],{},[42,1410,180],{},[36,1412,1413,1416,1419,1422,1425,1428,1431,1434],{},[39,1414,1415],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[39,1417,1418],{},"学习曲线明显，画布操作 + 节点连线要花时间",[39,1420,1421],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[39,1423,1424],{},"Free 300 credits 不够体验完整流程",[39,1426,1427],{},"Agent Neo 偶尔『过度自治』产出不可控",[39,1429,1430],{},"移动 iOS 体验不如桌面 Web",[39,1432,1433],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[39,1435,1436],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[21,1438,206],{"id":206},[288,1440,1441,1444,1447,1450,1453,1456],{},[39,1442,1443],{},"flowith.io → Free 注册 → 拿 300 credits",[39,1445,1446],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[39,1448,1449],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[39,1451,1452],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[39,1454,1455],{},"Agent Neo → 给一个完整目标（\"做一份 AI Agent 2026 竞品分析报告 + 网站\"）→ 等 30 分钟看结果",[39,1457,1458],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[21,1460,301],{"id":301},[303,1462,1463,1480],{},[306,1464,1465],{},[309,1466,1467,1469,1471,1474,1477],{},[312,1468,314],{},[312,1470,1266],{},[312,1472,1473],{},"Genspark",[312,1475,1476],{},"ChatGPT",[312,1478,1479],{},"Claude",[327,1481,1482,1497,1514,1531,1548,1563,1578],{},[309,1483,1484,1486,1489,1492,1495],{},[332,1485,334],{},[332,1487,1488],{},"无限画布 + 节点",[332,1490,1491],{},"多 Agent + Sparkpage",[332,1493,1494],{},"线性 chat",[332,1496,1494],{},[309,1498,1499,1502,1505,1508,1511],{},[332,1500,1501],{},"自治 agent",[332,1503,1504],{},"✅ Neo 1000+ 步",[332,1506,1507],{},"✅ Super Agent",[332,1509,1510],{},"✅ Operator",[332,1512,1513],{},"❌（API 走）",[309,1515,1516,1519,1522,1525,1528],{},[332,1517,1518],{},"上下文",[332,1520,1521],{},"10M token",[332,1523,1524],{},"200K",[332,1526,1527],{},"1M（GPT-5）",[332,1529,1530],{},"1M（Claude）",[309,1532,1533,1536,1539,1542,1545],{},[332,1534,1535],{},"模型数",[332,1537,1538],{},"40+",[332,1540,1541],{},"多家",[332,1543,1544],{},"OpenAI",[332,1546,1547],{},"Anthropic",[309,1549,1550,1553,1556,1558,1561],{},[332,1551,1552],{},"Knowledge base",[332,1554,1555],{},"✅ Seeds",[332,1557,1002],{},[332,1559,1560],{},"Projects",[332,1562,1560],{},[309,1564,1565,1568,1571,1574,1576],{},[332,1566,1567],{},"起价",[332,1569,1570],{},"$19.90\u002F月",[332,1572,1573],{},"$25\u002F月",[332,1575,960],{},[332,1577,960],{},[309,1579,1580,1582,1585,1588,1591],{},[332,1581,1040],{},[332,1583,1584],{},"深度多线程 + 长任务",[332,1586,1587],{},"全能 Super Agent",[332,1589,1590],{},"通用",[332,1592,1593],{},"Coding \u002F 长文",[21,1595,471],{"id":471},[36,1597,1598,1604,1610,1616,1622,1628,1634,1640,1645,1651],{},[39,1599,1600,1603],{},[42,1601,1602],{},"从 Pro 起","：Free 300 credits 玩不出深度",[39,1605,1606,1609],{},[42,1607,1608],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[39,1611,1612,1615],{},[42,1613,1614],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[39,1617,1618,1621],{},[42,1619,1620],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[39,1623,1624,1627],{},[42,1625,1626],{},"画布命名清晰","：节点 \u002F 分支 \u002F 项目名字要规范，否则一周后看不懂自己画的",[39,1629,1630,1633],{},[42,1631,1632],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[39,1635,1636,1639],{},[42,1637,1638],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[39,1641,1642,1644],{},[42,1643,1027],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[39,1646,1647,1650],{},[42,1648,1649],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[39,1652,1653,1656],{},[42,1654,1655],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[21,1658,519],{"id":518},[36,1660,1661,1664,1667,1670,1673,1676,1679,1682],{},[39,1662,1663],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[39,1665,1666],{},"✅ 要 10M token 超长上下文做综合分析",[39,1668,1669],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[39,1671,1672],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[39,1674,1675],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[39,1677,1678],{},"❌ 预算极紧 + 不愿学习曲线",[39,1680,1681],{},"❌ 线性思维 + 单线程偏好",[39,1683,1684],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[21,1686,551],{"id":551},[36,1688,1689,1695,1700],{},[39,1690,1691],{},[279,1692,1694],{"href":1693},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark","Genspark 评测",[39,1696,1697],{},[279,1698,1699],{"href":1222},"Alice 评测",[39,1701,1702],{},[279,1703,1148],{"href":1147},[21,1705,574],{"id":574},[288,1707,1708,1715,1722,1729],{},[39,1709,1710,1711],{},"Flowith 官网 + Pricing ",[279,1712,1713],{"href":1713,"rel":1714},"https:\u002F\u002Fflowith.io",[283],[39,1716,1717,1718],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[279,1719,1720],{"href":1720,"rel":1721},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[283],[39,1723,1724,1725],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[279,1726,1727],{"href":1727,"rel":1728},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[283],[39,1730,1731,1732],{},"OpenTools — Flowith Review May 2026 ",[279,1733,1734],{"href":1734,"rel":1735},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[283],{"title":213,"searchDepth":250,"depth":250,"links":1737},[1738,1739,1740,1741,1742,1743,1744,1745,1746,1747],{"id":23,"depth":228,"text":24},{"id":34,"depth":228,"text":34},{"id":126,"depth":228,"text":126},{"id":1378,"depth":228,"text":1379},{"id":206,"depth":228,"text":206},{"id":301,"depth":228,"text":301},{"id":471,"depth":228,"text":471},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"\u002Fimg\u002Ftools\u002Fflowith.webp","Flowith 真实评测：Flowith Technologies Pte. Ltd.（新加坡，2023 创立，Yichen Wu + Derek Nee 联合创办）打造的画布式 AI 工作空间。2024-08 Product Hunt #1。差异点：无限 2D 画布把每次 AI 交互变成可连可分支的节点 + Agent Neo（号称『世界首个无限 agent』10M token 上下文 \u002F 1000+ 步骤）+ Knowledge Garden（文档拆解成 Seeds 知识单元）+ 40+ AI 模型一站接入 + FlowithOS 早期预览 + iOS App。Free \u002F Pro $19.90 \u002F Ultimate $49.90 \u002F Infinite $499.90。",[1751,1754,1757,1760],{"q":1752,"a":1753},"Agent Neo 是什么？","Flowith 的自治 agent，10M token 上下文窗口（约 7500 页）+ 1000+ 推理步骤。给一个目标（研究 \u002F 内容 \u002F 建站 \u002F 竞争分析），它自主规划子任务、网络搜索、文档分析、综合结论、迭代输出。和单回合 ChatGPT 区别在于持续运行直到任务完成，可自动建网站 \u002F 写报告 \u002F 做策略。",{"q":1755,"a":1756},"Knowledge Garden 怎么用？","上传 PDF \u002F 笔记 \u002F 文件后，Flowith 把它们『原子化』成离散的 Seeds（知识单元）。任何 canvas 节点可调用相关 Seeds 做 RAG，无需手动复制粘贴。和 NotebookLM 类似但深度集成画布工作流。",{"q":1758,"a":1759},"credit 怎么算？","Credit-based 模型按 token + 任务类型计费。文本：基础模型 100 \u002F 百万 token，GPT-5 等前沿模型 15,000 \u002F 百万 token。图像 20-190 credits\u002F张，视频 475-6000 credits\u002F条。Free 一次性 300 credits 只够试水；Pro 22k credits 中等用户够；重度跑 Agent Neo 长任务建议 Ultimate 起。建议先 Pro 试一个月看消耗再升级。",{"q":1761,"a":1762},"和 ChatGPT \u002F Claude 怎么选？","ChatGPT \u002F Claude 适合线性快问快答，每次一条 thread。Flowith 适合多分支并行 + 项目级长期上下文 + 自治长任务，画布让整个项目一眼可见。简单问答用 ChatGPT；多线程深度研究 \u002F 内容生产 + 自治 agent → Flowith。两者互补。",[642,1764,643],"zh",{},[1767,1768,1769],"web","ios","macos-flowithos",[1771,1775,1778,1782],{"plan":1772,"price":657,"features":1773,"notes":1774},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":1357,"price":1570,"features":1776,"notes":1777},"22,000 月度 credits + 40+ 模型 + 50 并发 + 5 设备 + 图像\u002F视频批量 + FlowithOS 早期","年付 $15.32\u002F月",{"plan":1363,"price":1779,"features":1780,"notes":1781},"$49.90\u002F月","85,000 月度 credits + 100 并发 + 高速处理 + 优先队列","年付 $39.92\u002F月",{"plan":1369,"price":1783,"features":1784,"notes":1785},"$499.90\u002F月","1,000,000 月度 credits + 不限并发 + 最高速 + 优先支持 + 创始人直通 + 1-on-1 onboard","年付 $459.90\u002F月","Free (300 一次性 credits) \u002F Pro $19.90·月 \u002F Ultimate $49.90·月 \u002F Infinite $499.90·月（年付 8 折）",[1788],"onboarding\u002Fcanvas-ai-research-workflow",[1790],"manus-deep-review",{"power":263,"ux":257,"price":250,"cn_support":257,"stability":257},{"title":1266,"description":1749},[1794,1796,1798,1800],{"name":1795,"url":1713,"accessed":1246},"Flowith 官网",{"name":1797,"url":1720,"accessed":1246},"Toolworthy — Flowith Review 2026",{"name":1799,"url":1727,"accessed":1246},"BlockSentient — Flowith 2026 详细评测",{"name":1801,"url":1734,"accessed":1246},"OpenTools — Flowith Review May 2026","tools\u002Fagent\u002Fgeneral\u002Fflowith","无限画布 AI 工作空间——Agent Neo 10M token 上下文 + 1000+ 步自治 + 40+ 模型 + Knowledge Garden",[1805,1257,1806,1807,1808],"canvas","agentic","knowledge-base","flowith","线性 chat 装不下的复杂深度工作专用——研究 \u002F 报告 \u002F 网站搭建 \u002F 长期项目首选画布。简单问答 \u002F 短任务用 ChatGPT \u002F Claude 即可，Flowith 学习曲线 + credit 消耗都偏高。","iWJm7mD7oy-36SwSo0c6C21SoSEqDllx19rybeIJxHY",{"id":1812,"title":1473,"alternatives":1813,"api_compatible":16,"body":1814,"category":620,"chinese_friendly":257,"cover":2312,"description":2313,"domestic":623,"extension":624,"faq":2314,"free":623,"github":16,"languages":2327,"lastVerified":16,"meta":2328,"models":16,"navigation":253,"notSuitable":16,"opensource":623,"path":1693,"pillar":646,"platforms":2329,"priceTable":2331,"pricing":2340,"published":1238,"relatedPlaybooks":2341,"relatedReviews":2343,"score":2346,"self_host":623,"seo":2347,"seoTitle":16,"slug":1268,"sources":2348,"stem":2357,"suitable":16,"tagline":2358,"tags":2359,"updated":1246,"verdict":2365,"website":2366,"__hash__":2367},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[694,692,1243],{"type":18,"value":1815,"toc":2300},[1816,1818,1821,1824,1826,1900,1902,1926,1931,1935,1939,1962,1966,1992,1994,2014,2016,2166,2168,2224,2226,2252,2254,2268,2270],[21,1817,24],{"id":23},[26,1819,1820],{},"Genspark 是 2024 年创立于 Palo Alto 的 AI Super Agent 公司，CEO Eric Jing（前 Microsoft Bing \u002F 小冰），团队来自 Microsoft + Google。2026-04 ARR 突破 $250M（12 个月内）。差异点：『多 Agent 架构』路由不同 agent + 模型组合，而非单 LLM + Super Agent 自治执行覆盖研究 \u002F 内容 \u002F 调用 \u002F 建站 \u002F 视频 \u002F 数据分析 \u002F 真实电话 + Sparkpage 可视化输出。Free 100-200 daily credits \u002F Plus $25 月度 12k credits \u002F Pro $249 月度 125k credits。",[26,1822,1823],{},"适合：要一站式 Super Agent 完成完整工作流（研究 → 文档 → 演示 → 网站）；重度内容创作者 + 营销 \u002F 销售（Call For Me 跟进）；中级专业用户（Plus $25 \u002F 月划算）。不适合：纯研究问答（Perplexity \u002F ChatGPT 更便宜）；预算极紧（credit 消耗快）；需要透明引用 \u002F 学术严谨（Sparkpage 引用不如 Perplexity 清晰）；要画布多线程（用 Flowith）。",[21,1825,34],{"id":34},[36,1827,1828,1834,1840,1846,1852,1858,1864,1870,1876,1882,1888,1894],{},[39,1829,1830,1833],{},[42,1831,1832],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[39,1835,1836,1839],{},[42,1837,1838],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[39,1841,1842,1845],{},[42,1843,1844],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[39,1847,1848,1851],{},[42,1849,1850],{},"AI Slides","：10-15 张幻灯片含图表",[39,1853,1854,1857],{},[42,1855,1856],{},"AI Sites","：完整 landing page 一键生成",[39,1859,1860,1863],{},[42,1861,1862],{},"AI Video","：30-60s 短视频生成",[39,1865,1866,1869],{},[42,1867,1868],{},"AI Pods","：10 分钟 AI podcast 生成",[39,1871,1872,1875],{},[42,1873,1874],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[39,1877,1878,1881],{},[42,1879,1880],{},"AI Sheets","：CSV 数据分析 + 自动图表",[39,1883,1884,1887],{},[42,1885,1886],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[39,1889,1890,1893],{},[42,1891,1892],{},"iOS \u002F Android App","：移动端可用",[39,1895,1896,1899],{},[42,1897,1898],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[21,1901,126],{"id":126},[36,1903,1904,1909,1915,1920],{},[39,1905,1906,1908],{},[42,1907,1351],{},"：100-200 daily credits（~3-8 简单任务）",[39,1910,1911,1914],{},[42,1912,1913],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[39,1916,1917,1919],{},[42,1918,1357],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[39,1921,1922,1925],{},[42,1923,1924],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[801,1927,1928],{},[26,1929,1930],{},"Plus 一月做 10-15 个严肃任务（slides \u002F 研究 \u002F sites）；重度做视频 \u002F 通话 \u002F 多 sites 建议 Pro。",[21,1932,1934],{"id":1933},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[26,1936,1937],{},[42,1938,152],{},[36,1940,1941,1944,1947,1950,1953,1956,1959],{},[39,1942,1943],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[39,1945,1946],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[39,1948,1949],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[39,1951,1952],{},"Plus 顶级模型不限 chat 性价比超高，比 ChatGPT Plus $20 + Claude Pro $20 + Perplexity Pro $20 全订便宜",[39,1954,1955],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[39,1957,1958],{},"Sparkpage 输出可直接分享 + 嵌入",[39,1960,1961],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[26,1963,1964],{},[42,1965,180],{},[36,1967,1968,1971,1974,1977,1980,1983,1986,1989],{},[39,1969,1970],{},"credit 消耗不透明，复杂任务前难估算成本",[39,1972,1973],{},"用户反馈 customer support + refund 有问题",[39,1975,1976],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[39,1978,1979],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[39,1981,1982],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[39,1984,1985],{},"地域限制：印度 \u002F 巴西 \u002F 巴基斯坦 \u002F 尼日利亚 \u002F 印尼等部分国家 Plus \u002F Pro 不可用",[39,1987,1988],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[39,1990,1991],{},"Pro $249 月价格陡，中端断档",[21,1993,206],{"id":206},[288,1995,1996,1999,2002,2005,2008,2011],{},[39,1997,1998],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[39,2000,2001],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[39,2003,2004],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[39,2006,2007],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[39,2009,2010],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[39,2012,2013],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[21,2015,301],{"id":301},[303,2017,2018,2034],{},[306,2019,2020],{},[309,2021,2022,2024,2026,2028,2031],{},[312,2023,314],{},[312,2025,1473],{},[312,2027,1266],{},[312,2029,2030],{},"Perplexity Pro",[312,2032,2033],{},"ChatGPT Plus",[327,2035,2036,2051,2066,2080,2094,2109,2123,2136,2151],{},[309,2037,2038,2040,2043,2046,2048],{},[332,2039,1832],{},[332,2041,2042],{},"✅ 多 Agent",[332,2044,2045],{},"✅ Neo 自治",[332,2047,1002],{},[332,2049,2050],{},"Operator",[309,2052,2053,2056,2059,2062,2064],{},[332,2054,2055],{},"可视化输出",[332,2057,2058],{},"✅ Sparkpage",[332,2060,2061],{},"✅ 画布",[332,2063,1002],{},[332,2065,1002],{},[309,2067,2068,2071,2074,2076,2078],{},[332,2069,2070],{},"真实电话调用",[332,2072,2073],{},"✅ Call For Me",[332,2075,1002],{},[332,2077,1002],{},[332,2079,1002],{},[309,2081,2082,2085,2088,2090,2092],{},[332,2083,2084],{},"一键建站",[332,2086,2087],{},"✅ AI Sites",[332,2089,1002],{},[332,2091,1002],{},[332,2093,1002],{},[309,2095,2096,2099,2102,2104,2106],{},[332,2097,2098],{},"视频 \u002F 音频生成",[332,2100,2101],{},"✅ Video \u002F Pods",[332,2103,987],{},[332,2105,1002],{},[332,2107,2108],{},"Sora（独立）",[309,2110,2111,2114,2117,2119,2121],{},[332,2112,2113],{},"引用透明",[332,2115,2116],{},"中",[332,2118,1002],{},[332,2120,922],{},[332,2122,987],{},[309,2124,2125,2127,2130,2132,2134],{},[332,2126,1567],{},[332,2128,2129],{},"$25\u002F月（Plus）",[332,2131,1570],{},[332,2133,960],{},[332,2135,960],{},[309,2137,2138,2141,2144,2146,2148],{},[332,2139,2140],{},"最贵",[332,2142,2143],{},"$249\u002F月",[332,2145,1783],{},[332,2147,960],{},[332,2149,2150],{},"$200\u002F月",[309,2152,2153,2155,2158,2161,2164],{},[332,2154,1040],{},[332,2156,2157],{},"一站式 Super Agent",[332,2159,2160],{},"画布深度",[332,2162,2163],{},"搜索引用",[332,2165,1590],{},[21,2167,471],{"id":471},[36,2169,2170,2176,2182,2188,2194,2200,2206,2212,2218],{},[39,2171,2172,2175],{},[42,2173,2174],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[39,2177,2178,2181],{},[42,2179,2180],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[39,2183,2184,2187],{},[42,2185,2186],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[39,2189,2190,2193],{},[42,2191,2192],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[39,2195,2196,2199],{},[42,2197,2198],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[39,2201,2202,2205],{},[42,2203,2204],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[39,2207,2208,2211],{},[42,2209,2210],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[39,2213,2214,2217],{},[42,2215,2216],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[39,2219,2220,2223],{},[42,2221,2222],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[21,2225,519],{"id":518},[36,2227,2228,2231,2234,2237,2240,2243,2246,2249],{},[39,2229,2230],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[39,2232,2233],{},"✅ Plus $25 重度多模型不限 chat 用户",[39,2235,2236],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[39,2238,2239],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[39,2241,2242],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[39,2244,2245],{},"❌ 学术严谨场景",[39,2247,2248],{},"❌ 预算极紧",[39,2250,2251],{},"❌ 要画布 + 多线程深度（用 Flowith）",[21,2253,551],{"id":551},[36,2255,2256,2260,2264],{},[39,2257,2258],{},[279,2259,1160],{"href":1159},[39,2261,2262],{},[279,2263,1148],{"href":1147},[39,2265,2266],{},[279,2267,1699],{"href":1222},[21,2269,574],{"id":574},[288,2271,2272,2279,2286,2293],{},[39,2273,2274,2275],{},"Genspark Pricing 官方 ",[279,2276,2277],{"href":2277,"rel":2278},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[283],[39,2280,2281,2282],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[279,2283,2284],{"href":2284,"rel":2285},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[283],[39,2287,2288,2289],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[279,2290,2291],{"href":2291,"rel":2292},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[283],[39,2294,2295,2296],{},"Lindy — Genspark Features 2026 Tested ",[279,2297,2298],{"href":2298,"rel":2299},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[283],{"title":213,"searchDepth":250,"depth":250,"links":2301},[2302,2303,2304,2305,2306,2307,2308,2309,2310,2311],{"id":23,"depth":228,"text":24},{"id":34,"depth":228,"text":34},{"id":126,"depth":228,"text":126},{"id":1933,"depth":228,"text":1934},{"id":206,"depth":228,"text":206},{"id":301,"depth":228,"text":301},{"id":471,"depth":228,"text":471},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"\u002Fimg\u002Ftools\u002Fgenspark.webp","Genspark 真实评测：2024 年创立于 Palo Alto，CEO Eric Jing（前 Microsoft Bing \u002F 小冰），团队来自 Microsoft + Google。差异点：『多 Agent 架构』而非单 LLM + Super Agent 自治执行（研究 \u002F 内容 \u002F 调用 \u002F 建站 \u002F 视频 \u002F 数据分析）+ Sparkpage 可视化输出 + Call For Me 真实电话调度。2026-04 ARR $250M（12 个月内达成）。Free 100-200 daily credits \u002F Plus $25 月度 12k credits \u002F Pro $249 月度 125k credits。",[2315,2318,2321,2324],{"q":2316,"a":2317},"credit 消耗如何？","Simple Sparkpage \u002F 研究 30-80 credits；AI Slides（10-15 张 + 图表）250-450；AI Sites（完整 landing）600-1200；AI Video（30-60s）800-2000；Call For Me（2-4 分钟）400-900；AI Pods（10 分钟 podcast）1000-1800。Plus 12k credits 大约一个月做 10-15 个严肃任务（不重度跑视频 \u002F 通话）。",{"q":2319,"a":2320},"Call For Me 真的能打电话？","对，调用真实电话 API（背后用 Bland AI \u002F Vapi 类供应商），帮你预订餐厅 \u002F 跟进客户 \u002F 查信息。需要明确隐私 + 合规：欧盟 \u002F 加州的呼叫录音 \u002F 同意法规要遵守，敏感场景慎用。",{"q":2322,"a":2323},"多 Agent 架构和单 LLM 区别？","Genspark 不依赖单一 LLM，而是按任务类型路由到不同 agent + 模型组合（搜索 agent \u002F 研究 agent \u002F 内容 agent \u002F 调用 agent 等）。优势：每类任务用最适合的工具 + 大型搜索 + 验证流水线；劣势：黑盒程度高 + credit 消耗模型让用量不可预测。",{"q":2325,"a":2326},"和 Flowith \u002F ChatGPT \u002F Perplexity 怎么选？","Genspark 强在『全栈 Super Agent + 真实调用（电话 \u002F 搜索 \u002F 建站）+ Sparkpage 可视化』。Flowith 强在『画布 + 长任务自治 + Knowledge Garden』。Perplexity 强在『搜索 + 引用透明 + 价格便宜』。ChatGPT 强在『通用 + 生态成熟』。一站式 Super Agent → Genspark；画布多线程 → Flowith；搜索问答 → Perplexity。",[642,1764,643],{},[1767,1768,2330],"android",[2332,2334,2337],{"plan":1351,"price":657,"features":2333,"notes":1774},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":1913,"price":1573,"features":2335,"notes":2336},"12,000 月度 credits + 顶级模型不限聊天（o3-Pro \u002F Claude \u002F Gemini）+ Slides \u002F 研究","年付 $240",{"plan":1357,"price":2143,"features":2338,"notes":2339},"125,000 月度 credits + 优先速度 + 早期功能 + AI Sites \u002F Video \u002F Call","年付 $2388","Free (100-200 daily) \u002F Plus $25·月 (12k credits) \u002F Pro $249·月 (125k credits) \u002F 年付有折扣",[2342],"onboarding\u002Fsuper-agent-workflow",[2344,1790,2345],"autoglm-deep-review","openmanus-deep-review",{"power":263,"ux":257,"price":250,"cn_support":250,"stability":257},{"title":1473,"description":2313},[2349,2351,2353,2355],{"name":2350,"url":2277,"accessed":1246},"Genspark 官网 + Pricing",{"name":2352,"url":2284,"accessed":1246},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":2354,"url":2291,"accessed":1246},"Rimo — Genspark 2026 + ARR $250M",{"name":2356,"url":2298,"accessed":1246},"Lindy — Genspark Features Tested 2026","tools\u002Fagent\u002Fgeneral\u002Fgenspark","Palo Alto 出品的 AI Super Agent——多 Agent 架构 + Sparkpage \u002F Slides \u002F Sites \u002F Video \u002F Call For Me 全栈",[2360,2361,2362,2363,2364],"super-agent","multi-agent","sparkpage","call-agent","genspark","Super Agent 类目里目前最完整的一站式产品——研究 \u002F 内容 \u002F 建站 \u002F 视频 \u002F 电话调度全包。Plus $25 \u002F 月在重度场景非常划算。要纯研究问答用 Perplexity \u002F ChatGPT 更便宜。","https:\u002F\u002Fgenspark.ai","8VbyAz5Oo2nCM445dUtrQuYglNvB7HnGEg1uQuSVnOo",{"id":2369,"title":325,"alternatives":2370,"api_compatible":2372,"body":2376,"category":620,"chinese_friendly":228,"cover":3060,"description":3061,"domestic":623,"extension":624,"faq":16,"free":623,"github":3062,"languages":3063,"lastVerified":16,"meta":3064,"models":3065,"navigation":253,"notSuitable":3070,"opensource":253,"path":3075,"pillar":646,"platforms":3076,"priceTable":3077,"pricing":3089,"published":3090,"relatedPlaybooks":16,"relatedReviews":3091,"score":3092,"self_host":253,"seo":3093,"seoTitle":3094,"slug":14,"sources":3095,"stem":3110,"suitable":3111,"tagline":3117,"tags":3118,"updated":3090,"verdict":3125,"website":3062,"__hash__":3126},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent.md",[2371,13,693],"agent\u002Fgeneral\u002Fmanus",[2373,2374,2375],"openai","anthropic","local",{"type":18,"value":2377,"toc":3038},[2378,2381,2388,2394,2404,2408,2413,2420,2446,2453,2457,2464,2478,2481,2485,2491,2570,2576,2578,2581,2587,2605,2608,2611,2614,2634,2637,2640,2643,2657,2660,2663,2729,2744,2747,2753,2767,2770,2773,2799,2801,2855,2861,2864,2968,2972,2978,2984,2990,2996,3002,3004,3035],[21,2379,2380],{"id":2380},"一句话结论",[26,2382,2383,2384,2387],{},"如果你想要一个",[42,2385,2386],{},"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。",[26,2389,2390,2391],{},"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。",[42,2392,2393],{},"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。",[2395,2396,2398],"callout",{"type":2397},"info",[26,2399,2400,2403],{},[42,2401,2402],{},"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\"。",[21,2405,2407],{"id":2406},"hermes-agent-解决的核心问题","Hermes Agent 解决的核心问题",[2409,2410,2412],"h3",{"id":2411},"问题-1agent-没有长期记忆","问题 1：Agent 没有\"长期记忆\"",[26,2414,2415,2416,2419],{},"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",[42,2417,2418],{},"分层记忆系统","：",[36,2421,2422,2428,2434,2440],{},[39,2423,2424,2427],{},[42,2425,2426],{},"工作记忆","：当前会话上下文，类似人类短期记忆",[39,2429,2430,2433],{},[42,2431,2432],{},"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",[39,2435,2436,2439],{},[42,2437,2438],{},"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",[39,2441,2442,2445],{},[42,2443,2444],{},"技能记忆","：Agent 自动总结\"怎么做某件事\"的步骤，下次直接调用",[26,2447,2448,2449,2452],{},"这意味着 Hermes Agent 是",[42,2450,2451],{},"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。",[2409,2454,2456],{"id":2455},"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",[26,2458,2459,2460,2463],{},"2026 年 6 月，Nous Research 给 Hermes Agent 加了 ",[42,2461,2462],{},"MoA（Mixture of Agents）"," 功能：",[36,2465,2466,2469,2472,2475],{},[39,2467,2468],{},"多个 Agent 实例并行处理同一个任务",[39,2470,2471],{},"每个 Agent 可以用不同模型（Claude \u002F GPT \u002F Hermes \u002F 本地模型）",[39,2473,2474],{},"结果由一个\"聚合 Agent\"合并去重、交叉验证",[39,2476,2477],{},"最终输出质量 > 任何单个模型",[26,2479,2480],{},"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。",[2409,2482,2484],{"id":2483},"问题-3agent-只能在一个地方用","问题 3：Agent 只能在一个地方用",[26,2486,2487,2488,2419],{},"Hermes Agent 支持 ",[42,2489,2490],{},"14 个消息渠道",[303,2492,2493,2502],{},[306,2494,2495],{},[309,2496,2497,2499],{},[312,2498,1011],{},[312,2500,2501],{},"状态",[327,2503,2504,2512,2519,2526,2533,2540,2547,2554,2562],{},[309,2505,2506,2509],{},[332,2507,2508],{},"Telegram",[332,2510,2511],{},"✅ 推荐，最稳定",[309,2513,2514,2517],{},[332,2515,2516],{},"Discord",[332,2518,447],{},[309,2520,2521,2524],{},[332,2522,2523],{},"Slack",[332,2525,447],{},[309,2527,2528,2531],{},[332,2529,2530],{},"WhatsApp",[332,2532,447],{},[309,2534,2535,2538],{},[332,2536,2537],{},"Signal",[332,2539,447],{},[309,2541,2542,2545],{},[332,2543,2544],{},"Email",[332,2546,447],{},[309,2548,2549,2552],{},[332,2550,2551],{},"CLI（终端）",[332,2553,447],{},[309,2555,2556,2559],{},[332,2557,2558],{},"Web UI",[332,2560,2561],{},"✅ 基础版",[309,2563,2564,2567],{},[332,2565,2566],{},"微信",[332,2568,2569],{},"⚠️ 非官方，不稳定",[26,2571,2572,2573],{},"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。",[42,2574,2575],{},"一个 Agent 实例，多个入口。",[21,2577,34],{"id":34},[2409,2579,2580],{"id":2580},"自我进化",[26,2582,2583,2584,2419],{},"Hermes Agent 最独特的能力是 ",[42,2585,2586],{},"Profile 系统",[36,2588,2589,2592,2595,2602],{},[39,2590,2591],{},"每个 Profile 是一个\"人格 + 技能包\"的组合",[39,2593,2594],{},"你可以创建多个 Profile（如\"代码助手\"、\"研究助手\"、\"项目经理\"）",[39,2596,2597,2598,2601],{},"Agent 在执行任务后会",[42,2599,2600],{},"自动总结经验","，更新 Profile 的技能库",[39,2603,2604],{},"下次遇到类似任务，直接调用已有技能，不用从零开始",[26,2606,2607],{},"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\"。",[2409,2609,2610],{"id":2610},"工具调用",[26,2612,2613],{},"Hermes Agent 支持自定义工具（function calling）：",[36,2615,2616,2619,2622,2625,2628,2631],{},[39,2617,2618],{},"搜索引擎（Google \u002F Bing \u002F SearXNG）",[39,2620,2621],{},"代码执行（Python sandbox）",[39,2623,2624],{},"文件读写",[39,2626,2627],{},"Web 浏览（Playwright）",[39,2629,2630],{},"自定义 API 调用",[39,2632,2633],{},"数据库查询",[26,2635,2636],{},"工具配置是 JSON 格式，添加新工具只需写一个 function 定义。",[2409,2638,2639],{"id":2639},"记忆管理",[26,2641,2642],{},"记忆系统基于向量数据库（默认 ChromaDB）：",[36,2644,2645,2648,2651,2654],{},[39,2646,2647],{},"自动从对话中提取关键信息存入语义记忆",[39,2649,2650],{},"支持手动\"forget\"删除特定记忆",[39,2652,2653],{},"记忆有 TTL（过期时间），避免无限膨胀",[39,2655,2656],{},"支持记忆导出\u002F导入（JSON 格式），方便迁移",[21,2658,2659],{"id":2659},"使用体验",[2409,2661,2662],{"id":2662},"安装部署",[208,2664,2666],{"className":210,"code":2665,"language":212,"meta":213,"style":213},"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",[215,2667,2668,2679,2687,2701,2712,2717],{"__ignoreMap":213},[218,2669,2670,2673,2676],{"class":220,"line":221},[218,2671,2672],{"class":231},"git",[218,2674,2675],{"class":239}," clone",[218,2677,2678],{"class":239}," https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\n",[218,2680,2681,2684],{"class":220,"line":228},[218,2682,2683],{"class":235},"cd",[218,2685,2686],{"class":239}," hermes-agent\n",[218,2688,2689,2692,2695,2698],{"class":220,"line":250},[218,2690,2691],{"class":231},"pip",[218,2693,2694],{"class":239}," install",[218,2696,2697],{"class":235}," -r",[218,2699,2700],{"class":239}," requirements.txt\n",[218,2702,2703,2706,2709],{"class":220,"line":257},[218,2704,2705],{"class":231},"cp",[218,2707,2708],{"class":239}," .env.example",[218,2710,2711],{"class":239}," .env\n",[218,2713,2714],{"class":220,"line":263},[218,2715,2716],{"class":224},"# 配置 LLM API key、消息平台 token\n",[218,2718,2720,2723,2726],{"class":220,"line":2719},6,[218,2721,2722],{"class":231},"python",[218,2724,2725],{"class":235}," -m",[218,2727,2728],{"class":239}," hermes.agent\n",[26,2730,2731,2732,2735,2736,2739,2740,2743],{},"部署需要 ",[42,2733,2734],{},"Python 3.11+","、",[42,2737,2738],{},"至少 8GB RAM","（跑本地模型需要更多）、",[42,2741,2742],{},"向量数据库","（默认 ChromaDB，可选 Qdrant）。",[2409,2745,2746],{"id":2746},"日常使用",[26,2748,2749,2750,2419],{},"最顺的使用方式是 ",[42,2751,2752],{},"Telegram + Claude API",[288,2754,2755,2758,2761,2764],{},[39,2756,2757],{},"在 Telegram 上给 Agent 发消息",[39,2759,2760],{},"Agent 读取记忆、规划任务、调用工具",[39,2762,2763],{},"执行过程中实时推送进度",[39,2765,2766],{},"完成后推送结果 + 自动更新记忆",[26,2768,2769],{},"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。",[2409,2771,2772],{"id":2772},"短板",[36,2774,2775,2781,2787,2793],{},[39,2776,2777,2780],{},[42,2778,2779],{},"文档偏英文","：几乎没有中文文档，国内用户上手门槛高",[39,2782,2783,2786],{},[42,2784,2785],{},"稳定性","：项目迭代极快（每周多个 commit），偶尔有 breaking change",[39,2788,2789,2792],{},[42,2790,2791],{},"资源消耗","：记忆系统 + 多 Agent 会占用较多内存和 API token",[39,2794,2795,2798],{},[42,2796,2797],{},"UI 简陋","：Web UI 只是基础版，不如 Manus \u002F OpenClaw 精致",[21,2800,126],{"id":126},[303,2802,2803,2813],{},[306,2804,2805],{},[309,2806,2807,2810],{},[312,2808,2809],{},"项目",[312,2811,2812],{},"成本",[327,2814,2815,2823,2831,2839,2847],{},[309,2816,2817,2820],{},[332,2818,2819],{},"Hermes Agent 本体",[332,2821,2822],{},"免费（开源）",[309,2824,2825,2828],{},[332,2826,2827],{},"LLM API",[332,2829,2830],{},"BYOK，用 Claude\u002FGPT 按各自 API 计费",[309,2832,2833,2836],{},[332,2834,2835],{},"本地模型",[332,2837,2838],{},"免费但需要 GPU（70B 模型需 ~48GB VRAM）",[309,2840,2841,2844],{},[332,2842,2843],{},"服务器",[332,2845,2846],{},"自托管需要一台 VPS（推荐 4 核 16GB 起步）",[309,2848,2849,2852],{},[332,2850,2851],{},"消息平台",[332,2853,2854],{},"Telegram\u002FDiscord 等均免费",[26,2856,2857,2860],{},[42,2858,2859],{},"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。",[21,2862,2863],{"id":2863},"与同类对比",[303,2865,2866,2879],{},[306,2867,2868],{},[309,2869,2870,2872,2874,2877],{},[312,2871,314],{},[312,2873,325],{},[312,2875,2876],{},"Manus",[312,2878,322],{},[327,2880,2881,2891,2903,2915,2929,2942,2954],{},[309,2882,2883,2885,2887,2889],{},[332,2884,350],{},[332,2886,447],{},[332,2888,420],{},[332,2890,447],{},[309,2892,2893,2895,2898,2900],{},[332,2894,2580],{},[332,2896,2897],{},"✅ Profile 系统",[332,2899,420],{},[332,2901,2902],{},"⚠️ 有限",[309,2904,2905,2907,2910,2913],{},[332,2906,382],{},[332,2908,2909],{},"✅ 分层记忆",[332,2911,2912],{},"❌ 单会话",[332,2914,447],{},[309,2916,2917,2920,2923,2926],{},[332,2918,2919],{},"跨平台部署",[332,2921,2922],{},"✅ 14 渠道",[332,2924,2925],{},"❌ Web only",[332,2927,2928],{},"⚠️ 桌面+CLI",[309,2930,2931,2933,2936,2939],{},[332,2932,366],{},[332,2934,2935],{},"★★★★☆",[332,2937,2938],{},"★☆☆☆☆",[332,2940,2941],{},"★★★☆☆",[309,2943,2944,2947,2950,2952],{},[332,2945,2946],{},"中文体验",[332,2948,2949],{},"★★☆☆☆",[332,2951,2935],{},[332,2953,2941],{},[309,2955,2956,2959,2962,2965],{},[332,2957,2958],{},"适合人群",[332,2960,2961],{},"极客\u002F研究者",[332,2963,2964],{},"普通用户",[332,2966,2967],{},"开发者",[21,2969,2971],{"id":2970},"faq","FAQ",[26,2973,2974,2977],{},[42,2975,2976],{},"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。",[26,2979,2980,2983],{},[42,2981,2982],{},"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。",[26,2985,2986,2989],{},[42,2987,2988],{},"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）。",[26,2991,2992,2995],{},[42,2993,2994],{},"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。",[26,2997,2998,3001],{},[42,2999,3000],{},"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。",[21,3003,551],{"id":551},[36,3005,3006,3012,3017,3023,3029],{},[39,3007,3008],{},[279,3009,3011],{"href":3010},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡",[39,3013,3014],{},[279,3015,3016],{"href":558},"OpenManus 工具卡",[39,3018,3019],{},[279,3020,3022],{"href":3021},"\u002Fagent\u002Fdesktop\u002Fopenclaw.html","OpenClaw 工具卡",[39,3024,3025],{},[279,3026,3028],{"href":3027},"\u002Freview\u002Fmanus-deep-review.html","Manus 深度评测",[39,3030,3031],{},[279,3032,3034],{"href":3033},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark 对比",[605,3036,3037],{},"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: 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var(--shiki-dark-text-decoration);}",{"title":213,"searchDepth":250,"depth":250,"links":3039},[3040,3041,3046,3051,3056,3057,3058,3059],{"id":2380,"depth":228,"text":2380},{"id":2406,"depth":228,"text":2407,"children":3042},[3043,3044,3045],{"id":2411,"depth":250,"text":2412},{"id":2455,"depth":250,"text":2456},{"id":2483,"depth":250,"text":2484},{"id":34,"depth":228,"text":34,"children":3047},[3048,3049,3050],{"id":2580,"depth":250,"text":2580},{"id":2610,"depth":250,"text":2610},{"id":2639,"depth":250,"text":2639},{"id":2659,"depth":228,"text":2659,"children":3052},[3053,3054,3055],{"id":2662,"depth":250,"text":2662},{"id":2746,"depth":250,"text":2746},{"id":2772,"depth":250,"text":2772},{"id":126,"depth":228,"text":126},{"id":2863,"depth":228,"text":2863},{"id":2970,"depth":228,"text":2971},{"id":551,"depth":228,"text":551},"\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],{},[3066,3067,3068,3069],"hermes-4-405b","hermes-4-70b","claude-sonnet-4","gpt-5",[3071,3072,3073,3074],"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",[648,649,650],[3078,3083],{"plan":3079,"price":657,"limit":3080,"cn_pay":3081,"note":3082},"开源版","完整功能，自托管","—","BYOK 模式",{"plan":3084,"price":3085,"limit":3086,"cn_pay":3087,"note":3088},"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",[665],{"power":257,"ux":250,"price":263,"cn_support":228,"stability":250},{"title":325,"description":3061},"Hermes Agent 评测 2026：Nous Research 开源自进化 AI Agent，10 万 Star",[3096,3098,3101,3104,3107],{"title":3097,"url":3062},"Hermes Agent GitHub",{"title":3099,"url":3100},"Nous Research 官网","https:\u002F\u002Fnousresearch.com",{"title":3102,"url":3103},"Hermes Agent 安装教程","https:\u002F\u002Fblog.csdn.net\u002Fyweng18\u002Farticle\u002Fdetails\u002F161148047",{"title":3105,"url":3106},"Hermes MoA 体验报告","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7657411078791365171\u002F",{"title":3108,"url":3109},"Hermes vs OpenCode 对比","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7645892543409816064\u002F","tools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[3112,3113,3114,3115,3116],"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",[3119,3120,679,3121,3122,3123,3124],"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。","3gxu2kQEY9RgT_Ir0N2dPCaoLfjN4jFfYElq7IKZGhA",{"id":3128,"title":2876,"alternatives":3129,"api_compatible":3132,"body":3133,"category":620,"chinese_friendly":257,"cover":4026,"description":4027,"domestic":623,"extension":624,"faq":16,"free":623,"github":16,"languages":4028,"lastVerified":16,"meta":4029,"models":4030,"navigation":253,"notSuitable":4034,"opensource":623,"path":4039,"pillar":646,"platforms":4040,"priceTable":4041,"pricing":4055,"published":4056,"relatedPlaybooks":4057,"relatedReviews":4059,"score":4060,"self_host":623,"seo":4061,"seoTitle":16,"slug":2371,"sources":4062,"stem":4078,"suitable":4079,"tagline":4085,"tags":4086,"updated":1246,"verdict":4090,"website":3515,"__hash__":4091},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md",[1268,3130,3131],"coding\u002Fagent\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":18,"value":3134,"toc":4006},[3135,3137,3175,3180,3183,3247,3250,3254,3262,3267,3274,3278,3286,3352,3357,3361,3368,3372,3380,3385,3402,3404,3407,3410,3417,3420,3426,3481,3487,3493,3498,3504,3508,3551,3554,3593,3596,3765,3770,3787,3792,3812,3815,3881,3883,3886,3903,3906,3927,3929,3979,3981,3998],[21,3136,24],{"id":23},[3138,3139,3144,3160],"div",{"className":3140},[3141,3142,3143],"card","p-5","my-4",[26,3145,3146,3149,3150,3153,3154,3159],{},[42,3147,3148],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[42,3151,3152],{},"邀请码一度被炒到 ¥5 万-10 万","（",[279,3155,3158],{"href":3156,"rel":3157},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[283],"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。",[26,3161,3162,3163,3153,3166,3170,3171,3174],{},"2025-12 传被 ",[42,3164,3165],{},"Meta 以约 20-30 亿美元收购",[279,3167,3169],{"href":3156,"rel":3168},[283],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[42,3172,3173],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[801,3176,3177],{},[26,3178,3179],{},"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。",[21,3181,3182],{"id":3182},"背景与公司",[36,3184,3185,3196,3202,3208,3214,3225,3235,3241],{},[39,3186,3187,3190,3191,3195],{},[42,3188,3189],{},"公司","：Butterfly Effect Pte. Ltd.（",[279,3192,3194],{"href":3156,"rel":3193},[283],"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）",[39,3197,3198,3201],{},[42,3199,3200],{},"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）",[39,3203,3204,3207],{},[42,3205,3206],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[39,3209,3210,3213],{},[42,3211,3212],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[39,3215,3216,3219,3220,3224],{},[42,3217,3218],{},"Manus 启动","：2024-10 立项，灵感来自 ",[279,3221,3223],{"href":3222},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[39,3226,3227,3230,3231],{},[42,3228,3229],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[279,3232,3234],{"href":3156,"rel":3233},[283],"Demo 视频 20 小时百万播放",[39,3236,3237,3240],{},[42,3238,3239],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[39,3242,3243,3246],{},[42,3244,3245],{},"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",[21,3248,3249],{"id":3249},"核心特性",[2409,3251,3253],{"id":3252},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[26,3255,3256,3261],{},[279,3257,3260],{"href":3258,"rel":3259},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[283],"Pick Right 2026-04 评测"," 描述的架构：",[801,3263,3264],{},[26,3265,3266],{},"\"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.\"",[26,3268,3269,3270,3273],{},"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 ",[42,3271,3272],{},"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。",[2409,3275,3277],{"id":3276},"通用-agent-模式","通用 Agent 模式",[26,3279,3280,3285],{},[279,3281,3284],{"href":3282,"rel":3283},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[283],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[303,3287,3288,3298],{},[306,3289,3290],{},[309,3291,3292,3295],{},[312,3293,3294],{},"模型",[312,3296,3297],{},"GAIA 准确率",[327,3299,3300,3312,3320,3328,3336,3344],{},[309,3301,3302,3307],{},[332,3303,3304],{},[42,3305,3306],{},"Manus AI",[332,3308,3309],{},[42,3310,3311],{},">65%（SOTA）",[309,3313,3314,3317],{},[332,3315,3316],{},"H2O.ai (h2oGPTe)",[332,3318,3319],{},"65%",[309,3321,3322,3325],{},[332,3323,3324],{},"Google Langfun",[332,3326,3327],{},"49%",[309,3329,3330,3333],{},[332,3331,3332],{},"Microsoft o1",[332,3334,3335],{},"38%",[309,3337,3338,3341],{},[332,3339,3340],{},"OpenAI GPT-4o",[332,3342,3343],{},"32%",[309,3345,3346,3349],{},[332,3347,3348],{},"OpenAI GPT-4 + Plugins",[332,3350,3351],{},"15-30%",[801,3353,3354],{},[26,3355,3356],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[2409,3358,3360],{"id":3359},"后台执行-长任务","后台执行 + 长任务",[26,3362,3363,3364,3367],{},"最特别的体验：任务下达后",[42,3365,3366],{},"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。",[2409,3369,3371],{"id":3370},"web-app-builder","Web App Builder",[26,3373,3374,3375,3379],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[279,3376,3378],{"href":3258,"rel":3377},[283],"Pick Right 评测"," 直白警告：",[801,3381,3382],{},[26,3383,3384],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[26,3386,3387,3388,3392,3393,3392,3397,3401],{},"复杂场景下出 bug 多，目前不建议生产部署，",[279,3389,3391],{"href":3390},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[279,3394,3396],{"href":3395},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[279,3398,3400],{"href":3399},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[2409,3403,337],{"id":337},[26,3405,3406],{},"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。",[2409,3408,3409],{"id":3409},"多模型路由",[26,3411,3412,3413,3416],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[42,3414,3415],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[21,3418,3419],{"id":3419},"价格与运行成本",[26,3421,3422,3425],{},[279,3423,3378],{"href":3258,"rel":3424},[283]," 公开档位：",[303,3427,3428,3440],{},[306,3429,3430],{},[309,3431,3432,3435,3437],{},[312,3433,3434],{},"档位",[312,3436,126],{},[312,3438,3439],{},"关键点",[327,3441,3442,3451,3460,3470],{},[309,3443,3444,3446,3448],{},[332,3445,1351],{},[332,3447,657],{},[332,3449,3450],{},"每日有限 credits，够 1 个高强度任务\u002F天",[309,3452,3453,3455,3457],{},[332,3454,1357],{},[332,3456,960],{},[332,3458,3459],{},"大多数付费用户落点；中等 credit + 多模型",[309,3461,3462,3464,3467],{},[332,3463,1913],{},[332,3465,3466],{},"$50\u002F月",[332,3468,3469],{},"更高 credit + 优先队列，10+ 任务\u002F周",[309,3471,3472,3475,3478],{},[332,3473,3474],{},"Pro+ \u002F Team",[332,3476,3477],{},"最高 $200\u002F月",[332,3479,3480],{},"最大 credit + 团队空间（功能仍有限）",[26,3482,3483,3486],{},[42,3484,3485],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[26,3488,3489,2419],{},[279,3490,3492],{"href":3258,"rel":3491},[283],"Pick Right 真实使用反馈",[801,3494,3495],{},[26,3496,3497],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[26,3499,3500,3503],{},[42,3501,3502],{},"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。",[21,3505,3507],{"id":3506},"上手-5-分钟","上手 5 分钟",[288,3509,3510,3518,3521,3536,3539,3545,3548],{},[39,3511,3512,3513],{},"打开 ",[279,3514,3517],{"href":3515,"rel":3516},"https:\u002F\u002Fmanus.im",[283],"manus.im",[39,3519,3520],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[39,3522,3523,3524,3527,3528],{},"给一个完整任务描述（",[42,3525,3526],{},"关键","：不要碎片化指令，给全场景）\n",[208,3529,3534],{"className":3530,"code":3532,"language":3533},[3531],"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",[215,3535,3532],{"__ignoreMap":213},[39,3537,3538],{},"选模型路由（Auto 推荐）",[39,3540,3541,3542,3544],{},"提交后",[42,3543,3366],{},"——任务在云端跑",[39,3546,3547],{},"完成后邮件 \u002F 站内通知",[39,3549,3550],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[21,3552,3553],{"id":3553},"国内使用注意事项",[288,3555,3556,3566,3572,3578],{},[39,3557,3558,2419,3561,3565],{},[42,3559,3560],{},"大陆访问被屏蔽",[279,3562,3564],{"href":3156,"rel":3563},[283],"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",[39,3567,3568,3571],{},[42,3569,3570],{},"访问需稳定代理","：日韩 \u002F 美国节点",[39,3573,3574,3577],{},[42,3575,3576],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[39,3579,3580,3583,3584,3587,3588,3592],{},[42,3581,3582],{},"替代路径","：国内可考虑 ",[279,3585,1473],{"href":3586},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[279,3589,3591],{"href":3590},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[21,3594,3595],{"id":3595},"与同类怎么选",[303,3597,3598,3622],{},[306,3599,3600],{},[309,3601,3602,3604,3606,3612,3616,3619],{},[312,3603,314],{},[312,3605,2876],{},[312,3607,3608],{},[279,3609,3611],{"href":3610},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[312,3613,3614],{},[279,3615,1473],{"href":3586},[312,3617,3618],{},"ChatGPT Deep Research",[312,3620,3621],{},"GenAgent",[327,3623,3624,3643,3662,3679,3694,3710,3727,3745],{},[309,3625,3626,3629,3632,3635,3638,3641],{},[332,3627,3628],{},"核心定位",[332,3630,3631],{},"通用 Agent",[332,3633,3634],{},"AI 程序员",[332,3636,3637],{},"AI 搜索 + Agent",[332,3639,3640],{},"LLM Deep Research",[332,3642,1590],{},[309,3644,3645,3648,3651,3654,3657,3660],{},[332,3646,3647],{},"架构",[332,3649,3650],{},"多 sub-agent 并行",[332,3652,3653],{},"单 Agent + 沙盒",[332,3655,3656],{},"多模型",[332,3658,3659],{},"单模型",[332,3661,3081],{},[309,3663,3664,3667,3670,3673,3675,3677],{},[332,3665,3666],{},"长任务",[332,3668,3669],{},"★★★★★ 小时级",[332,3671,3672],{},"★★★★★",[332,3674,2941],{},[332,3676,2935],{},[332,3678,2941],{},[309,3680,3681,3684,3686,3688,3690,3692],{},[332,3682,3683],{},"引用密度",[332,3685,3672],{},[332,3687,2941],{},[332,3689,2935],{},[332,3691,2941],{},[332,3693,2941],{},[309,3695,3696,3699,3702,3704,3706,3708],{},[332,3697,3698],{},"App Builder",[332,3700,3701],{},"⚠️ 有但 buggy",[332,3703,420],{},[332,3705,420],{},[332,3707,420],{},[332,3709,420],{},[309,3711,3712,3715,3718,3721,3723,3725],{},[332,3713,3714],{},"中文",[332,3716,3717],{},"⚠️ 大陆屏蔽",[332,3719,3720],{},"⚠️",[332,3722,3672],{},[332,3724,3720],{},[332,3726,2935],{},[309,3728,3729,3731,3734,3737,3740,3743],{},[332,3730,126],{},[332,3732,3733],{},"$20-$200",[332,3735,3736],{},"$500\u002F月",[332,3738,3739],{},"$24.99\u002F月",[332,3741,3742],{},"随 ChatGPT Plus",[332,3744,3081],{},[309,3746,3747,3750,3753,3756,3759,3762],{},[332,3748,3749],{},"适合场景",[332,3751,3752],{},"research \u002F 数据分析",[332,3754,3755],{},"写代码 \u002F 修 bug",[332,3757,3758],{},"信息检索",[332,3760,3761],{},"单次深度研究",[332,3763,3764],{},"综合",[26,3766,3767,2419],{},[42,3768,3769],{},"选 Manus 如果你",[36,3771,3772,3778,3781,3784],{},[39,3773,3774,3775],{},"重视 research \u002F 数据分析任务的 ",[42,3776,3777],{},"引用密度和结构化输出",[39,3779,3780],{},"想试\"开任务下班、明早看结果\"的工作流",[39,3782,3783],{},"海外 \u002F 能解决账号网络问题",[39,3785,3786],{},"预算 $20-$50\u002F月，重度用户",[26,3788,3789,2419],{},[42,3790,3791],{},"别选 Manus 如果你",[36,3793,3794,3803,3806,3809],{},[39,3795,3796,3797,3392,3799,3802],{},"国内裸用（",[279,3798,1473],{"href":3586},[279,3800,3801],{"href":3590},"Yuanbao"," 更顺）",[39,3804,3805],{},"想生产部署 App（Web App Builder bug 多）",[39,3807,3808],{},"团队协作场景（功能不完善）",[39,3810,3811],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[21,3813,3814],{"id":3814},"避坑清单",[36,3816,3817,3823,3833,3839,3845,3857,3863,3869],{},[39,3818,3819,3822],{},[42,3820,3821],{},"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",[39,3824,3825,2419,3828,3832],{},[42,3826,3827],{},"credit 烧得比官方页面暗示的快",[279,3829,3831],{"href":3258,"rel":3830},[283],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[39,3834,3835,3838],{},[42,3836,3837],{},"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",[39,3840,3841,3844],{},[42,3842,3843],{},"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",[39,3846,3847,3850,3851,3856],{},[42,3848,3849],{},"每次任务从零开始","：没有持久 workspace，不像 ",[279,3852,3855],{"href":3853,"rel":3854},"https:\u002F\u002Fclaude.com",[283],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[39,3858,3859,3862],{},[42,3860,3861],{},"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",[39,3864,3865,3868],{},[42,3866,3867],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[39,3870,3871,3874,3875,3880],{},[42,3872,3873],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[279,3876,3879],{"href":3877,"rel":3878},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[283],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[21,3882,519],{"id":518},[26,3884,3885],{},"✅ 适合：",[36,3887,3888,3891,3894,3897,3900],{},[39,3889,3890],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[39,3892,3893],{},"CSV \u002F Excel 重的数据分析任务",[39,3895,3896],{},"长任务 + 不想盯着看（小时级）",[39,3898,3899],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[39,3901,3902],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[26,3904,3905],{},"❌ 不适合：",[36,3907,3908,3911,3914,3917,3920],{},[39,3909,3910],{},"生产级应用部署",[39,3912,3913],{},"团队协作工作流",[39,3915,3916],{},"预算极敏感（free 档非常受限）",[39,3918,3919],{},"大陆稳定访问需求",[39,3921,3922,3923,3926],{},"需要深度持久上下文（用 ",[279,3924,3855],{"href":3853,"rel":3925},[283]," \u002F ChatGPT Custom GPT 等）",[21,3928,551],{"id":551},[36,3930,3931,3942,3953,3968],{},[39,3932,3933,3934,3392,3936,3938,3939,3941],{},"同类对比：",[279,3935,3611],{"href":3610},[279,3937,1473],{"href":3586}," \u002F Elicit \u002F ",[279,3940,3801],{"href":3590}," \u002F Metaso",[39,3943,3944,3945,3392,3949,3952],{},"概念：",[279,3946,3948],{"href":3947},"\u002Fwiki\u002Fai-agent.html","AI Agent",[279,3950,3951],{"href":3947},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[39,3954,3955,3956,3392,3960,3392,3964],{},"模型：",[279,3957,3959],{"href":3958},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[279,3961,3963],{"href":3962},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[279,3965,3967],{"href":3966},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[39,3969,3970,3971,3392,3975],{},"进阶：",[279,3972,3974],{"href":3973},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[279,3976,3978],{"href":3977},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[21,3980,574],{"id":574},[36,3982,3983,3989,3992,3995],{},[39,3984,3985,3986],{},"官网：",[279,3987,3515],{"href":3515,"rel":3988},[283],[39,3990,3991],{},"Wikipedia：\"Manus (AI agent)\" 条目",[39,3993,3994],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[39,3996,3997],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[26,3999,4000,4001,4005],{},"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 ",[279,4002,4004],{"href":4003},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":213,"searchDepth":250,"depth":250,"links":4007},[4008,4009,4010,4018,4019,4020,4021,4022,4023,4024,4025],{"id":23,"depth":228,"text":24},{"id":3182,"depth":228,"text":3182},{"id":3249,"depth":228,"text":3249,"children":4011},[4012,4013,4014,4015,4016,4017],{"id":3252,"depth":250,"text":3253},{"id":3276,"depth":250,"text":3277},{"id":3359,"depth":250,"text":3360},{"id":3370,"depth":250,"text":3371},{"id":337,"depth":250,"text":337},{"id":3409,"depth":250,"text":3409},{"id":3419,"depth":228,"text":3419},{"id":3506,"depth":228,"text":3507},{"id":3553,"depth":228,"text":3553},{"id":3595,"depth":228,"text":3595},{"id":3814,"depth":228,"text":3814},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"\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。",[1764,642],{},[3068,4031,4032,4033],"claude-opus-4","qwen-max","manus-internal",[4035,4036,4037,4038],"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",[1767,650,649,648],[4042,4045,4048,4051],{"plan":1351,"price":657,"limit":4043,"cn_pay":3081,"note":4044},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1357,"price":960,"limit":4046,"cn_pay":3087,"note":4047},"更高 credit + 更长任务时长 + 多模型路由","个人主力档",{"plan":1913,"price":3466,"limit":4049,"cn_pay":3720,"note":4050},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":4052,"price":2150,"limit":4053,"cn_pay":3720,"note":4054},"Pro+\u002FTeam","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",[4058],"onboarding\u002Fmanus-getting-started",[1790,2344,2345],{"power":263,"ux":263,"price":250,"cn_support":257,"stability":250},{"title":2876,"description":4027},[4063,4065,4068,4070,4072,4075],{"title":4064,"url":3515},"Manus 官网",{"title":4066,"url":4067},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":4069,"url":3258},"Manus AI Review 2026 (Pick Right)",{"title":4071,"url":3282},"Info-Tech Manus Assessment",{"title":4073,"url":4074},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":4076,"url":4077},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[4080,4081,4082,4083,4084],"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",[3119,3120,4087,2361,4088,4089],"computer-use","butterfly-effect","monica","通用 Agent 体感天花板代表。多 sub-agent 并行 + 自动模型路由让 research \u002F 数据分析输出明显比 ChatGPT Deep Research 引用密度更高。慢、credit 烧得快、Web App Builder 仍有 bug，但任务跑通时确实让人惊艳。","eyJqahR6DX9l6_pQYL_4x1vkxUceuqDmRoNSlam9S0c",{"id":4093,"title":4094,"alternatives":4095,"api_compatible":16,"body":4099,"category":620,"chinese_friendly":250,"cover":4617,"description":4618,"domestic":623,"extension":624,"faq":4619,"free":623,"github":16,"languages":4631,"lastVerified":16,"meta":4632,"models":16,"navigation":253,"notSuitable":16,"opensource":623,"path":4633,"pillar":646,"platforms":4634,"priceTable":4635,"pricing":4651,"published":1238,"relatedPlaybooks":4652,"relatedReviews":16,"score":4654,"self_host":253,"seo":4655,"seoTitle":16,"slug":4656,"sources":4657,"stem":4666,"suitable":16,"tagline":4667,"tags":4668,"updated":1246,"verdict":4671,"website":4672,"__hash__":4673},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[4096,4097,4098],"coding\u002Flocal\u002Follama","coding\u002Flocal\u002Flm-studio","coding\u002Flocal\u002Fopen-webui",{"type":18,"value":4100,"toc":4605},[4101,4103,4106,4109,4111,4185,4187,4212,4217,4221,4225,4251,4255,4281,4283,4306,4308,4466,4468,4523,4525,4551,4553,4573,4575],[21,4102,24],{"id":23},[26,4104,4105],{},"Msty 是 privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器，独立开发者出品。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎，无需 CLI + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体并存 + Split Chats 同问题多模型并行 + Knowledge Stack（per-conversation RAG）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地无限 \u002F Aurum $149·年 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[26,4107,4108],{},"适合：隐私敏感 + 不愿数据上云；Mac mini \u002F Linux box 当私人 AI 服务器；想避开 Ollama CLI 的非工程师；多模型对比决策场景。不适合：硬件不行（7B+ 本地跑不动）；要 BYO API + 极简（用 Typing Mind）；要 mobile（无 iOS \u002F Android 移动 app）；团队协作（更适合 Claude Team）。",[21,4110,34],{"id":34},[36,4112,4113,4119,4125,4131,4137,4143,4149,4155,4161,4167,4173,4179],{},[39,4114,4115,4118],{},[42,4116,4117],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[39,4120,4121,4124],{},[42,4122,4123],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[39,4126,4127,4130],{},[42,4128,4129],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[39,4132,4133,4136],{},[42,4134,4135],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[39,4138,4139,4142],{},[42,4140,4141],{},"Prompt Studio","：变量 + 模板 + 测试",[39,4144,4145,4148],{},[42,4146,4147],{},"Persona Studio","：自定义角色 + 工具 + context",[39,4150,4151,4154],{},[42,4152,4153],{},"Skills Studio","：可复用能力包",[39,4156,4157,4160],{},[42,4158,4159],{},"Agent Mode","：多步执行 + 工具调用",[39,4162,4163,4166],{},[42,4164,4165],{},"Flowchart 对话","：分支可视化",[39,4168,4169,4172],{},[42,4170,4171],{},"Real-time 数据","：实时 web fetch",[39,4174,4175,4178],{},[42,4176,4177],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[39,4180,4181,4184],{},[42,4182,4183],{},"Cloud Sync","（Aurum）：跨设备同步对话",[21,4186,126],{"id":126},[36,4188,4189,4194,4200,4206],{},[39,4190,4191,4193],{},[42,4192,1351],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[39,4195,4196,4199],{},[42,4197,4198],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[39,4201,4202,4205],{},[42,4203,4204],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[39,4207,4208,4211],{},[42,4209,4210],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[801,4213,4214],{},[26,4215,4216],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[21,4218,4220],{"id":4219},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[26,4222,4223],{},[42,4224,152],{},[36,4226,4227,4230,4233,4236,4239,4242,4245,4248],{},[39,4228,4229],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[39,4231,4232],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[39,4234,4235],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[39,4237,4238],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[39,4240,4241],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[39,4243,4244],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[39,4246,4247],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[39,4249,4250],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[26,4252,4253],{},[42,4254,180],{},[36,4256,4257,4260,4263,4266,4269,4272,4275,4278],{},[39,4258,4259],{},"本地性能受硬件限制：M1 Air 跑 7B 慢，M3 Max \u002F Mac Studio \u002F 高端 GPU 更适合",[39,4261,4262],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[39,4264,4265],{},"桌面 only，无 iOS \u002F Android",[39,4267,4268],{},"llama.cpp 更新滞后官方上游 1-2 版本",[39,4270,4271],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[39,4273,4274],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[39,4276,4277],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[39,4279,4280],{},"中文 UI 不完整，部分功能仍是英文",[21,4282,206],{"id":206},[288,4284,4285,4288,4291,4294,4297,4300,4303],{},[39,4286,4287],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[39,4289,4290],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[39,4292,4293],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[39,4295,4296],{},"加云模型：OpenAI Key + Anthropic Key",[39,4298,4299],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[39,4301,4302],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[39,4304,4305],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[21,4307,301],{"id":301},[303,4309,4310,4327],{},[306,4311,4312],{},[309,4313,4314,4316,4318,4321,4324],{},[312,4315,314],{},[312,4317,4094],{},[312,4319,4320],{},"Ollama",[312,4322,4323],{},"LM Studio",[312,4325,4326],{},"Jan",[327,4328,4329,4344,4359,4372,4384,4397,4411,4424,4436,4450],{},[309,4330,4331,4334,4337,4340,4342],{},[332,4332,4333],{},"GUI",[332,4335,4336],{},"✅ 颜值高",[332,4338,4339],{},"❌ CLI",[332,4341,447],{},[332,4343,447],{},[309,4345,4346,4349,4352,4354,4357],{},[332,4347,4348],{},"本地引擎",[332,4350,4351],{},"MLX\u002Fllama.cpp\u002FOllama",[332,4353,4320],{},[332,4355,4356],{},"llama.cpp",[332,4358,4356],{},[309,4360,4361,4364,4366,4368,4370],{},[332,4362,4363],{},"云模型",[332,4365,447],{},[332,4367,420],{},[332,4369,420],{},[332,4371,987],{},[309,4373,4374,4376,4378,4380,4382],{},[332,4375,4129],{},[332,4377,990],{},[332,4379,420],{},[332,4381,987],{},[332,4383,1002],{},[309,4385,4386,4388,4391,4393,4395],{},[332,4387,4135],{},[332,4389,4390],{},"✅ per-conv",[332,4392,420],{},[332,4394,420],{},[332,4396,987],{},[309,4398,4399,4402,4405,4407,4409],{},[332,4400,4401],{},"Studios",[332,4403,4404],{},"✅ Prompt\u002FPersona\u002FSkills",[332,4406,1002],{},[332,4408,1002],{},[332,4410,1002],{},[309,4412,4413,4415,4417,4419,4421],{},[332,4414,350],{},[332,4416,420],{},[332,4418,359],{},[332,4420,420],{},[332,4422,4423],{},"✅ Apache 2.0",[309,4425,4426,4428,4430,4432,4434],{},[332,4427,1567],{},[332,4429,657],{},[332,4431,657],{},[332,4433,657],{},[332,4435,657],{},[309,4437,4438,4441,4444,4446,4448],{},[332,4439,4440],{},"终身",[332,4442,4443],{},"$349",[332,4445,1002],{},[332,4447,1002],{},[332,4449,1002],{},[309,4451,4452,4454,4457,4460,4463],{},[332,4453,1040],{},[332,4455,4456],{},"桌面颜值 + 多模型",[332,4458,4459],{},"CLI \u002F Server",[332,4461,4462],{},"模型市场",[332,4464,4465],{},"严格开源",[21,4467,471],{"id":471},[36,4469,4470,4476,4482,4488,4494,4500,4506,4512,4518],{},[39,4471,4472,4475],{},[42,4473,4474],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[39,4477,4478,4481],{},[42,4479,4480],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[39,4483,4484,4487],{},[42,4485,4486],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[39,4489,4490,4493],{},[42,4491,4492],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[39,4495,4496,4499],{},[42,4497,4498],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[39,4501,4502,4505],{},[42,4503,4504],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[39,4507,4508,4511],{},[42,4509,4510],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[39,4513,4514,4517],{},[42,4515,4516],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[39,4519,4520,4522],{},[42,4521,1109],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[21,4524,519],{"id":518},[36,4526,4527,4530,4533,4536,4539,4542,4545,4548],{},[39,4528,4529],{},"✅ 隐私敏感 + 数据零云",[39,4531,4532],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[39,4534,4535],{},"✅ 不愿学 Ollama CLI 的非工程师",[39,4537,4538],{},"✅ 多模型对比决策场景",[39,4540,4541],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[39,4543,4544],{},"❌ 要 mobile 移动主力",[39,4546,4547],{},"❌ 团队协作 + 共享 workspace",[39,4549,4550],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[21,4552,551],{"id":551},[36,4554,4555,4561,4567],{},[39,4556,4557],{},[279,4558,4560],{"href":4559},"\u002Ftools\u002Fcoding\u002Flocal\u002Follama","Ollama 评测",[39,4562,4563],{},[279,4564,4566],{"href":4565},"\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio","LM Studio 评测",[39,4568,4569],{},[279,4570,4572],{"href":4571},"\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui","Open WebUI 评测",[21,4574,574],{"id":574},[288,4576,4577,4584,4591,4598],{},[39,4578,4579,4580],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[279,4581,4582],{"href":4582,"rel":4583},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[283],[39,4585,4586,4587],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[279,4588,4589],{"href":4589,"rel":4590},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[283],[39,4592,4593,4594],{},"ML Journey — Msty Multi-model Comparison Guide ",[279,4595,4596],{"href":4596,"rel":4597},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[283],[39,4599,4600,4601],{},"AISO Tools — Msty Pricing 2026 ",[279,4602,4603],{"href":4603,"rel":4604},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[283],{"title":213,"searchDepth":250,"depth":250,"links":4606},[4607,4608,4609,4610,4611,4612,4613,4614,4615,4616],{"id":23,"depth":228,"text":24},{"id":34,"depth":228,"text":34},{"id":126,"depth":228,"text":126},{"id":4219,"depth":228,"text":4220},{"id":206,"depth":228,"text":206},{"id":301,"depth":228,"text":301},{"id":471,"depth":228,"text":471},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"\u002Fimg\u002Ftools\u002Fmsty.webp","Msty 真实评测：privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎 + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体管理 + Split Chats 多模型同时跑同问题 + Knowledge Stack（per-conversation RAG，区别于 AnythingLLM workspace）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地全功能 \u002F Aurum $5-149 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[4620,4623,4626,4629],{"q":4621,"a":4622},"和 Ollama \u002F LM Studio \u002F Jan \u002F AnythingLLM 怎么选？","Msty 强在『多模型 split chat 对比 + Knowledge Stack 灵活 per-conversation + UI 颜值』。Ollama 是 CLI + server，无 GUI 适合开发者。LM Studio 强在『模型市场 + 性能 profiling』。Jan 开源 + Apache 2.0 协议自由度高。AnythingLLM 强在 workspace + RAG agent。要桌面颜值 + 多模型对比 + 简单 RAG → Msty；要 CLI \u002F server → Ollama；要模型市场 → LM Studio；要严格开源 → Jan。",{"q":4624,"a":4625},"Knowledge Stack 怎么用？","上传文档 \u002F URL \u002F 文本到 Knowledge collection，per-conversation 附加。和 AnythingLLM 的 workspace 区别：Msty 是 conversation 级，每对话独立 context，不会跨对话泄露。多项目并行场景非常顺。Aurum 解锁更大 \u002F 更高级 Knowledge。",{"q":4627,"a":4628},"Split Chats 真的实用吗？","对，多模型决策场景非常有用：决定哪个模型适合任务（同问题看 GPT-5 \u002F Claude \u002F Llama 3 输出）；本地 vs 云模型质量评估；事实问题模型分歧检测（多个模型给同样答案 = 更可信）。日常使用确实降低选错模型成本。",{"q":1218,"a":4630},"本地模式完全离线可用（Ollama \u002F llama.cpp \u002F MLX 本地模型 + Qwen \u002F DeepSeek 中文模型）。云模式接 OpenAI \u002F Anthropic 需要海外网络 + 卡。Aurum 订阅需海外支付。最佳路径：本地 Free + Ollama + Qwen2.5\u002FDeepSeek 中文，零订阅 + 零外网依赖。",[642,643],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[649,650,648,1767],[4636,4639,4643,4647],{"plan":1351,"price":657,"features":4637,"notes":4638},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":4198,"price":4640,"features":4641,"notes":4642},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":4204,"price":4644,"features":4645,"notes":4646},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":4210,"price":4648,"features":4649,"notes":4650},"$300\u002Fuser·年","SSO + 团队管理 + 私有部署支持","需联系销售","Free 本地无限 \u002F Aurum $149·年（cloud sync）\u002F Lifetime $349 一次买断 \u002F Enterprise $300·user·年",[4653],"onboarding\u002Flocal-ai-workstation",{"power":257,"ux":263,"price":263,"cn_support":250,"stability":257},{"title":4094,"description":4618},"agent\u002Fgeneral\u002Fmsty",[4658,4660,4662,4664],{"name":4659,"url":4582,"accessed":1246},"Msty 官网 + Features",{"name":4661,"url":4589,"accessed":1246},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":4663,"url":4596,"accessed":1246},"ML Journey — Msty Local LLM Comparison Guide",{"name":4665,"url":4603,"accessed":1246},"AISO Tools — Msty Pricing 2026","tools\u002Fagent\u002Fgeneral\u002Fmsty","本地优先 + 多模型并行的桌面 AI——Split Chats \u002F Knowledge Stack \u002F Agent Mode 三件套",[4669,1257,1259,1807,4670],"local-first","msty","Ollama \u002F LM Studio 的『精品桌面应用版』——拒绝 CLI + 拒绝云上传 + 多模型同窗对比的最佳选择。Mac mini \u002F Linux 私人 AI 服务器场景神器。要团队协作 + 云同步建议 Claude Team \u002F ChatGPT Team。","https:\u002F\u002Fmsty.ai","niNqR8c2HfHsRBNs01ip9Crt9cywkIdrVITosmvDYyA",{"id":10,"title":11,"alternatives":4675,"api_compatible":16,"body":4676,"category":620,"chinese_friendly":250,"cover":621,"description":622,"domestic":623,"extension":624,"faq":5091,"free":623,"github":16,"languages":5097,"lastVerified":16,"meta":5098,"models":16,"navigation":253,"notSuitable":16,"opensource":253,"path":645,"pillar":646,"platforms":5099,"priceTable":5100,"pricing":660,"published":661,"relatedPlaybooks":5103,"relatedReviews":5104,"score":5105,"self_host":253,"seo":5106,"seoTitle":16,"slug":668,"sources":5107,"stem":676,"suitable":16,"tagline":677,"tags":5111,"updated":661,"verdict":685,"website":281,"__hash__":686},[13,14,15],{"type":18,"value":4677,"toc":5079},[4678,4680,4682,4684,4686,4744,4746,4758,4760,4764,4780,4784,4800,4802,4840,4845,4847,4855,4857,4983,4985,5015,5017,5037,5039,5053,5055,5077],[21,4679,24],{"id":23},[26,4681,28],{},[26,4683,31],{},[21,4685,34],{"id":34},[36,4687,4688,4692,4696,4700,4704,4708,4712,4716,4720,4724,4728,4732,4736,4740],{},[39,4689,4690,45],{},[42,4691,44],{},[39,4693,4694,51],{},[42,4695,50],{},[39,4697,4698,57],{},[42,4699,56],{},[39,4701,4702,63],{},[42,4703,62],{},[39,4705,4706,69],{},[42,4707,68],{},[39,4709,4710,75],{},[42,4711,74],{},[39,4713,4714,81],{},[42,4715,80],{},[39,4717,4718,87],{},[42,4719,86],{},[39,4721,4722,93],{},[42,4723,92],{},[39,4725,4726,99],{},[42,4727,98],{},[39,4729,4730,105],{},[42,4731,104],{},[39,4733,4734,111],{},[42,4735,110],{},[39,4737,4738,117],{},[42,4739,116],{},[39,4741,4742,123],{},[42,4743,122],{},[21,4745,126],{"id":126},[36,4747,4748,4752,4756],{},[39,4749,4750,134],{},[42,4751,133],{},[39,4753,4754,140],{},[42,4755,139],{},[39,4757,143],{},[21,4759,147],{"id":146},[26,4761,4762],{},[42,4763,152],{},[36,4765,4766,4768,4770,4772,4774,4776,4778],{},[39,4767,157],{},[39,4769,160],{},[39,4771,163],{},[39,4773,166],{},[39,4775,169],{},[39,4777,172],{},[39,4779,175],{},[26,4781,4782],{},[42,4783,180],{},[36,4785,4786,4788,4790,4792,4794,4796,4798],{},[39,4787,185],{},[39,4789,188],{},[39,4791,191],{},[39,4793,194],{},[39,4795,197],{},[39,4797,200],{},[39,4799,203],{},[21,4801,206],{"id":206},[208,4803,4804],{"className":210,"code":211,"language":212,"meta":213,"style":213},[215,4805,4806,4810,4822,4826,4830],{"__ignoreMap":213},[218,4807,4808],{"class":220,"line":221},[218,4809,225],{"class":224},[218,4811,4812,4814,4816,4818,4820],{"class":220,"line":228},[218,4813,232],{"class":231},[218,4815,236],{"class":235},[218,4817,240],{"class":239},[218,4819,244],{"class":243},[218,4821,247],{"class":231},[218,4823,4824],{"class":220,"line":250},[218,4825,254],{"emptyLinePlaceholder":253},[218,4827,4828],{"class":220,"line":257},[218,4829,260],{"class":224},[218,4831,4832,4834,4836,4838],{"class":220,"line":263},[218,4833,266],{"class":231},[218,4835,269],{"class":239},[218,4837,244],{"class":243},[218,4839,274],{"class":231},[26,4841,277,4842],{},[279,4843,281],{"href":281,"rel":4844},[283],[26,4846,286],{},[288,4848,4849,4851,4853],{},[39,4850,292],{},[39,4852,295],{},[39,4854,298],{},[21,4856,301],{"id":301},[303,4858,4859,4873],{},[306,4860,4861],{},[309,4862,4863,4865,4867,4869,4871],{},[312,4864,314],{},[312,4866,11],{},[312,4868,319],{},[312,4870,322],{},[312,4872,325],{},[327,4874,4875,4887,4899,4911,4923,4935,4947,4959,4971],{},[309,4876,4877,4879,4881,4883,4885],{},[332,4878,334],{},[332,4880,337],{},[332,4882,340],{},[332,4884,343],{},[332,4886,343],{},[309,4888,4889,4891,4893,4895,4897],{},[332,4890,350],{},[332,4892,353],{},[332,4894,356],{},[332,4896,359],{},[332,4898,359],{},[309,4900,4901,4903,4905,4907,4909],{},[332,4902,366],{},[332,4904,369],{},[332,4906,372],{},[332,4908,375],{},[332,4910,375],{},[309,4912,4913,4915,4917,4919,4921],{},[332,4914,382],{},[332,4916,385],{},[332,4918,388],{},[332,4920,391],{},[332,4922,394],{},[309,4924,4925,4927,4929,4931,4933],{},[332,4926,399],{},[332,4928,402],{},[332,4930,405],{},[332,4932,408],{},[332,4934,408],{},[309,4936,4937,4939,4941,4943,4945],{},[332,4938,92],{},[332,4940,417],{},[332,4942,420],{},[332,4944,420],{},[332,4946,420],{},[309,4948,4949,4951,4953,4955,4957],{},[332,4950,429],{},[332,4952,432],{},[332,4954,435],{},[332,4956,438],{},[332,4958,438],{},[309,4960,4961,4963,4965,4967,4969],{},[332,4962,68],{},[332,4964,447],{},[332,4966,420],{},[332,4968,420],{},[332,4970,420],{},[309,4972,4973,4975,4977,4979,4981],{},[332,4974,458],{},[332,4976,104],{},[332,4978,463],{},[332,4980,466],{},[332,4982,466],{},[21,4984,471],{"id":471},[36,4986,4987,4991,4995,4999,5003,5007,5011],{},[39,4988,4989,479],{},[42,4990,478],{},[39,4992,4993,485],{},[42,4994,484],{},[39,4996,4997,491],{},[42,4998,490],{},[39,5000,5001,497],{},[42,5002,496],{},[39,5004,5005,503],{},[42,5006,502],{},[39,5008,5009,509],{},[42,5010,508],{},[39,5012,5013,515],{},[42,5014,514],{},[21,5016,519],{"id":518},[36,5018,5019,5021,5023,5025,5027,5029,5031,5033,5035],{},[39,5020,524],{},[39,5022,527],{},[39,5024,530],{},[3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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（",[215,5127,5128],{},"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。",[26,5131,5132],{},"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）。",[21,5134,34],{"id":34},[36,5136,5137,5145,5151,5157,5163,5169,5175,5181,5187,5193,5199,5205],{},[39,5138,5139,2419,5142,5144],{},[42,5140,5141],{},"多 agent orchestration",[215,5143,5128],{}," 编排多个专门 agent 协作",[39,5146,5147,5150],{},[42,5148,5149],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[39,5152,5153,5156],{},[42,5154,5155],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[39,5158,5159,5162],{},[42,5160,5161],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[39,5164,5165,5168],{},[42,5166,5167],{},"OpenManus-RL","：强化学习微调分支",[39,5170,5171,5174],{},[42,5172,5173],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[39,5176,5177,5180],{},[42,5178,5179],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[39,5182,5183,5186],{},[42,5184,5185],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[39,5188,5189,5192],{},[42,5190,5191],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[39,5194,5195,5198],{},[42,5196,5197],{},"Web UI 监控","：实时看 AI thinking process",[39,5200,5201,5204],{},[42,5202,5203],{},"任务可视化","：步骤拆解 + 执行树",[39,5206,5207,5210],{},[42,5208,5209],{},"MIT 协议","：个人 + 商用全免费",[21,5212,126],{"id":126},[36,5214,5215,5221,5224,5227],{},[39,5216,5217,5220],{},[42,5218,5219],{},"Free \u002F OSS","：$0；MIT 协议",[39,5222,5223],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[39,5225,5226],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[39,5228,5229],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[21,5231,5233],{"id":5232},"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）",[26,5235,5236],{},[42,5237,152],{},[36,5239,5240,5243,5246,5249,5252,5255,5258,5261],{},[39,5241,5242],{},"52k stars 印证社区认同度 + 活跃度",[39,5244,5245],{},"MetaGPT 团队背景保证架构质量",[39,5247,5248],{},"多 agent 协作场景比单 agent 实现稳得多",[39,5250,5251],{},"Playwright 浏览器自动化非常完整",[39,5253,5254],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[39,5256,5257],{},"DataAnalysis 内置 agent 模式开箱即用",[39,5259,5260],{},"中文支持自然（Qwen VL Plus 接入）",[39,5262,5263],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[26,5265,5266],{},[42,5267,180],{},[36,5269,5270,5273,5276,5279,5282,5285,5288,5291],{},[39,5271,5272],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[39,5274,5275],{},"文档滞后新功能 1-2 个月",[39,5277,5278],{},"无官方 GUI，监控 UI 在做但不完整",[39,5280,5281],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[39,5283,5284],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[39,5286,5287],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[39,5289,5290],{},"中文 prompt 效果依赖底层模型",[39,5292,5293],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[21,5295,206],{"id":206},[208,5297,5299],{"className":210,"code":5298,"language":212,"meta":213,"style":213},"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",[215,5300,5301,5310,5317,5343,5353,5363,5367,5373,5384,5390,5395,5401,5409,5414,5420],{"__ignoreMap":213},[218,5302,5303,5305,5307],{"class":220,"line":221},[218,5304,2672],{"class":231},[218,5306,2675],{"class":239},[218,5308,5309],{"class":239}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[218,5311,5312,5314],{"class":220,"line":228},[218,5313,2683],{"class":235},[218,5315,5316],{"class":239}," OpenManus\n",[218,5318,5319,5322,5324,5327,5330,5334,5337,5340],{"class":220,"line":250},[218,5320,5321],{"class":231},"python3.12",[218,5323,2725],{"class":235},[218,5325,5326],{"class":239}," venv",[218,5328,5329],{"class":239}," .venv",[218,5331,5333],{"class":5332},"sVt8B"," && ",[218,5335,5336],{"class":235},"source",[218,5338,5339],{"class":239}," .venv\u002Fbin\u002Factivate",[218,5341,5342],{"class":224},"  # 或 .venv\\Scripts\\activate\n",[218,5344,5345,5347,5349,5351],{"class":220,"line":257},[218,5346,2691],{"class":231},[218,5348,2694],{"class":239},[218,5350,2697],{"class":235},[218,5352,2700],{"class":239},[218,5354,5355,5358,5360],{"class":220,"line":263},[218,5356,5357],{"class":231},"playwright",[218,5359,2694],{"class":239},[218,5361,5362],{"class":239}," chromium\n",[218,5364,5365],{"class":220,"line":2719},[218,5366,254],{"emptyLinePlaceholder":253},[218,5368,5370],{"class":220,"line":5369},7,[218,5371,5372],{"class":224},"# 配 LLM API\n",[218,5374,5376,5378,5381],{"class":220,"line":5375},8,[218,5377,2705],{"class":231},[218,5379,5380],{"class":239}," config\u002Fconfig.example.toml",[218,5382,5383],{"class":239}," config\u002Fconfig.toml\n",[218,5385,5387],{"class":220,"line":5386},9,[218,5388,5389],{"class":224},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[218,5391,5393],{"class":220,"line":5392},10,[218,5394,254],{"emptyLinePlaceholder":253},[218,5396,5398],{"class":220,"line":5397},11,[218,5399,5400],{"class":224},"# 单 agent 模式\n",[218,5402,5404,5406],{"class":220,"line":5403},12,[218,5405,2722],{"class":231},[218,5407,5408],{"class":239}," main.py\n",[218,5410,5412],{"class":220,"line":5411},13,[218,5413,254],{"emptyLinePlaceholder":253},[218,5415,5417],{"class":220,"line":5416},14,[218,5418,5419],{"class":224},"# 多 agent 模式\n",[218,5421,5423,5425],{"class":220,"line":5422},15,[218,5424,2722],{"class":231},[218,5426,5427],{"class":239}," run_flow.py\n",[26,5429,5430],{},"试任务示例：",[208,5432,5435],{"className":5433,"code":5434,"language":3533},[3531],"> 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",[215,5436,5434],{"__ignoreMap":213},[21,5438,301],{"id":301},[303,5440,5441,5458],{},[306,5442,5443],{},[309,5444,5445,5447,5449,5452,5455],{},[312,5446,314],{},[312,5448,5114],{},[312,5450,5451],{},"LangChain",[312,5453,5454],{},"AutoGPT",[312,5456,5457],{},"CrewAI",[327,5459,5460,5476,5490,5502,5517,5530,5544,5558,5575,5588],{},[309,5461,5462,5464,5467,5470,5473],{},[332,5463,334],{},[332,5465,5466],{},"现成 agent 实现",[332,5468,5469],{},"building blocks",[332,5471,5472],{},"早期通用 agent",[332,5474,5475],{},"多 agent 框架",[309,5477,5478,5481,5484,5486,5488],{},[332,5479,5480],{},"浏览器自动化",[332,5482,5483],{},"✅ Playwright",[332,5485,1002],{},[332,5487,987],{},[332,5489,1002],{},[309,5491,5492,5494,5496,5498,5500],{},[332,5493,982],{},[332,5495,447],{},[332,5497,987],{},[332,5499,1002],{},[332,5501,1002],{},[309,5503,5504,5507,5510,5513,5515],{},[332,5505,5506],{},"多 agent",[332,5508,5509],{},"✅ orchestration",[332,5511,5512],{},"需自搭",[332,5514,420],{},[332,5516,990],{},[309,5518,5519,5522,5524,5526,5528],{},[332,5520,5521],{},"DataAnalysis 内置",[332,5523,447],{},[332,5525,1002],{},[332,5527,1002],{},[332,5529,1002],{},[309,5531,5532,5535,5538,5540,5542],{},[332,5533,5534],{},"RL 微调",[332,5536,5537],{},"✅ OpenManus-RL",[332,5539,1002],{},[332,5541,1002],{},[332,5543,1002],{},[309,5545,5546,5549,5552,5554,5556],{},[332,5547,5548],{},"协议",[332,5550,5551],{},"MIT",[332,5553,5551],{},[332,5555,5551],{},[332,5557,5551],{},[309,5559,5560,5563,5566,5569,5572],{},[332,5561,5562],{},"Stars",[332,5564,5565],{},"52k+",[332,5567,5568],{},"100k+",[332,5570,5571],{},"170k+",[332,5573,5574],{},"30k+",[309,5576,5577,5579,5581,5584,5586],{},[332,5578,206],{},[332,5580,2116],{},[332,5582,5583],{},"难",[332,5585,2116],{},[332,5587,2116],{},[309,5589,5590,5592,5595,5598,5601],{},[332,5591,1040],{},[332,5593,5594],{},"自托管 Manus 复刻",[332,5596,5597],{},"底层 framework",[332,5599,5600],{},"学习经典",[332,5602,5603],{},"多 agent 协作",[21,5605,471],{"id":471},[36,5607,5608,5614,5624,5630,5636,5642,5648,5654,5658],{},[39,5609,5610,5613],{},[42,5611,5612],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[39,5615,5616,5619,5620,5623],{},[42,5617,5618],{},"Playwright 依赖大","：首次 ",[215,5621,5622],{},"playwright install"," 下 chromium 慢，国内走镜像",[39,5625,5626,5629],{},[42,5627,5628],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[39,5631,5632,5635],{},[42,5633,5634],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[39,5637,5638,5641],{},[42,5639,5640],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[39,5643,5644,5647],{},[42,5645,5646],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[39,5649,5650,5653],{},[42,5651,5652],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[39,5655,5656,1110],{},[42,5657,1109],{},[39,5659,5660,5663],{},[42,5661,5662],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[21,5665,519],{"id":518},[36,5667,5668,5671,5674,5677,5680,5683,5686,5689],{},[39,5669,5670],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[39,5672,5673],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[39,5675,5676],{},"✅ 隐私敏感 + 不愿数据上商业云",[39,5678,5679],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[39,5681,5682],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[39,5684,5685],{},"❌ 要 GUI \u002F 上手即用",[39,5687,5688],{},"❌ 生产级稳定（文档滞后 + 演进快）",[39,5690,5691],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[21,5693,551],{"id":551},[36,5695,5696,5702,5708],{},[39,5697,5698],{},[279,5699,5701],{"href":5700},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[39,5703,5704],{},[279,5705,5707],{"href":5706},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[39,5709,5710],{},[279,5711,5713],{"href":5712},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[21,5715,574],{"id":574},[288,5717,5718,5725,5732,5739],{},[39,5719,5720,5721],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[279,5722,5723],{"href":5723,"rel":5724},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[283],[39,5726,5727,5728],{},"Foundation Agents — OpenManus 项目介绍 ",[279,5729,5730],{"href":5730,"rel":5731},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[283],[39,5733,5734,5735],{},"Toolsverse — OpenManus 评测 + 52k stars ",[279,5736,5737],{"href":5737,"rel":5738},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[283],[39,5740,5741,5742],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[279,5743,5744],{"href":5744,"rel":5745},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[283],[605,5747,5748],{},"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 .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":213,"searchDepth":250,"depth":250,"links":5750},[5751,5752,5753,5754,5755,5756,5757,5758,5759,5760],{"id":23,"depth":228,"text":24},{"id":34,"depth":228,"text":34},{"id":126,"depth":228,"text":126},{"id":5232,"depth":228,"text":5233},{"id":206,"depth":228,"text":206},{"id":301,"depth":228,"text":301},{"id":471,"depth":228,"text":471},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"\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。",[5764,5767,5770,5773],{"q":5765,"a":5766},"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":5768,"a":5769},"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":5771,"a":5772},"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":5774,"a":5775},"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。",[642,1764,643],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[648,649,650,5780],"docker",[5782],{"plan":5219,"price":657,"features":5783,"notes":5784},"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）",[5787],"onboarding\u002Fopen-source-general-agent",[665,2345],{"power":263,"ux":250,"price":263,"cn_support":257,"stability":250},{"title":5114,"description":5762},[5792,5794,5796,5798],{"name":5793,"url":5723,"accessed":1246},"OpenManus GitHub（FoundationAgents 组织）",{"name":5795,"url":5730,"accessed":1246},"Foundation Agents — OpenManus 项目介绍",{"name":5797,"url":5737,"accessed":1246},"Toolsverse — OpenManus 评测 + 52k stars",{"name":5799,"url":5744,"accessed":1246},"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",[679,2361,5803,5804,5805,5806],"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 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拆成两层：",[36,6910,6911,6917],{},[39,6912,6913,6916],{},[42,6914,6915],{},"Bot \u002F 智能体","：对话式 AI，配置 prompt + 知识库 + 插件",[39,6918,6919,6922],{},[42,6920,6921],{},"工作流（Workflow）","：DAG 节点编排，可被 Bot 调用，也可独立部署",[26,6924,6925,6926,6931],{},"工作流节点类型（基于 ",[279,6927,6930],{"href":6928,"rel":6929},"https:\u002F\u002Fdeveloper.volcengine.com\u002Farticles\u002F7530117616687480851",[283],"火山引擎社区 2025 实战","）：",[36,6933,6934,6940,6946,6952,6958,6964,6970,6976],{},[39,6935,6936,6939],{},[42,6937,6938],{},"开始 \u002F 结束节点","：输入输出",[39,6941,6942,6945],{},[42,6943,6944],{},"大模型节点","：调豆包 \u002F GPT \u002F Claude 任一模型",[39,6947,6948,6951],{},[42,6949,6950],{},"代码节点","：内嵌 Python \u002F JavaScript（飞书插件常需要数据格式转换）",[39,6953,6954,6957],{},[42,6955,6956],{},"循环节点","：批量处理多条数据",[39,6959,6960,6963],{},[42,6961,6962],{},"条件节点","：分支判断",[39,6965,6966,6969],{},[42,6967,6968],{},"插件节点","：调 Coze 插件市场的工具",[39,6971,6972,6975],{},[42,6973,6974],{},"知识库节点","：RAG 检索",[39,6977,6978,6981],{},[42,6979,6980],{},"HTTP 节点","：调外部 API",[26,6983,6984,6985,6990],{},"典型用例（参考 ",[279,6986,6989],{"href":6987,"rel":6988},"https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7469986334686315017",[283],"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。",[2409,6992,6994],{"id":6993},"插件市场200-官方-海量第三方","插件市场（200+ 官方 + 海量第三方）",[26,6996,6997],{},"Coze 的\"插件\"是封装好的 API 工具，比如：",[36,6999,7000,7006,7012,7018,7024],{},[39,7001,7002,7005],{},[42,7003,7004],{},"飞书多维表格","：增删改查记录（国内 toB 场景的杀手锏）",[39,7007,7008,7011],{},[42,7009,7010],{},"图像生成","：调豆包 \u002F SD \u002F DALL-E",[39,7013,7014,7017],{},[42,7015,7016],{},"联网搜索","：实时网页检索",[39,7019,7020,7023],{},[42,7021,7022],{},"代码执行","：在线运行 Python",[39,7025,7026,7029],{},[42,7027,7028],{},"第三方 SaaS","：微博、抖音、bilibili、Notion……",[26,7031,7032,7037],{},[279,7033,7036],{"href":7034,"rel":7035},"https:\u002F\u002Fkouziai.github.io\u002F",[283],"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。",[2409,7039,7041],{"id":7040},"bot-商店-多平台一键发布","Bot 商店 + 多平台一键发布",[26,7043,7044],{},"发布渠道：",[36,7046,7047,7050,7053,7056,7059,7062],{},[39,7048,7049],{},"飞书机器人（一键绑）",[39,7051,7052],{},"抖音 \u002F 头条号",[39,7054,7055],{},"微信小程序 \u002F 公众号（部分需企业认证）",[39,7057,7058],{},"自定义网页嵌入",[39,7060,7061],{},"API 接口（提供 OpenAPI 风格 REST 调用）",[39,7063,7064],{},"Discord（国际版）",[2409,7066,7068],{"id":7067},"国内版-vs-国际版","国内版 vs 国际版",[303,7070,7071,7083],{},[306,7072,7073],{},[309,7074,7075,7077,7080],{},[312,7076,314],{},[312,7078,7079],{},"扣子（coze.cn）",[312,7081,7082],{},"Coze（coze.com）",[327,7084,7085,7096,7106,7115,7126,7137],{},[309,7086,7087,7090,7093],{},[332,7088,7089],{},"主力模型",[332,7091,7092],{},"豆包 Pro \u002F DeepSeek \u002F Qwen \u002F Kimi",[332,7094,7095],{},"OpenAI \u002F Claude \u002F Gemini \u002F Cohere",[309,7097,7098,7101,7104],{},[332,7099,7100],{},"飞书 \u002F 抖音 \u002F 微信集成",[332,7102,7103],{},"✅ 原生",[332,7105,420],{},[309,7107,7108,7111,7113],{},[332,7109,7110],{},"Discord \u002F Slack 集成",[332,7112,2902],{},[332,7114,7103],{},[309,7116,7117,7120,7123],{},[332,7118,7119],{},"数据存储位置",[332,7121,7122],{},"国内",[332,7124,7125],{},"海外",[309,7127,7128,7131,7134],{},[332,7129,7130],{},"支付",[332,7132,7133],{},"微信 \u002F 支付宝",[332,7135,7136],{},"海外信用卡",[309,7138,7139,7142,7145],{},[332,7140,7141],{},"内容合规",[332,7143,7144],{},"严格审核",[332,7146,7147],{},"宽松",[26,7149,7150,7153,7154,3174],{},[42,7151,7152],{},"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 ",[42,7155,7156],{},"不互通",[21,7158,3419],{"id":3419},[26,7160,7161],{},"国内版（扣子）：",[36,7163,7164,7170,7176],{},[39,7165,7166,7169],{},[42,7167,7168],{},"免费版","：免费模型有日额度（豆包 lite 等），适合个人玩 \u002F Demo",[39,7171,7172,7175],{},[42,7173,7174],{},"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",[39,7177,7178,7181],{},[42,7179,7180],{},"企业版","：议价，含 VPC、私有化（限定场景）、SLA",[26,7183,7184,7185,7190],{},"国际版（coze.com）的定价模式据 ",[279,7186,7189],{"href":7187,"rel":7188},"https:\u002F\u002Fdocs.coze.com\u002F",[283],"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。",[21,7192,7194],{"id":7193},"上手-10-分钟","上手 10 分钟",[288,7196,7197,7209,7212,7215,7218,7221,7224,7227],{},[39,7198,3512,7199,7203,7204,7208],{},[279,7200,7202],{"href":6872,"rel":7201},[283],"www.coze.cn","（国内）或 ",[279,7205,7207],{"href":6878,"rel":7206},[283],"www.coze.com","（国际），用飞书 \u002F 抖音账号 \u002F Google 账号登录",[39,7210,7211],{},"左侧\"工作空间\" → \"+创建 Bot\"，起个名字",[39,7213,7214],{},"选模型（国内推荐豆包 Pro，国际推 Claude Sonnet 4）",[39,7216,7217],{},"写 Bot 角色 prompt",[39,7219,7220],{},"可选：上传 PDF \u002F 文档建知识库",[39,7222,7223],{},"测试一下对话效果",[39,7225,7226],{},"右上\"发布\" → 选渠道（飞书 \u002F 抖音 \u002F API \u002F Web）",[39,7228,7229],{},"拿到调用 URL \u002F 飞书机器人 webhook",[26,7231,7232],{},"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。",[21,7234,3595],{"id":3595},[303,7236,7237,7263],{},[306,7238,7239],{},[309,7240,7241,7243,7245,7251,7257],{},[312,7242,314],{},[312,7244,6850],{},[312,7246,7247],{},[279,7248,7250],{"href":7249},"\u002Fagent\u002Fplatform\u002Fdify.html","Dify",[312,7252,7253],{},[279,7254,7256],{"href":7255},"\u002Fagent\u002Fplatform\u002Ffastgpt.html","FastGPT",[312,7258,7259],{},[279,7260,7262],{"href":7261},"\u002Fagent\u002Fplatform\u002Fyuanqi.html","元器 yuanqi",[327,7264,7265,7277,7291,7306,7319,7332,7346,7360],{},[309,7266,7267,7269,7271,7273,7275],{},[332,7268,350],{},[332,7270,420],{},[332,7272,447],{},[332,7274,447],{},[332,7276,420],{},[309,7278,7279,7282,7285,7287,7289],{},[332,7280,7281],{},"私有部署",[332,7283,7284],{},"⚠️ 仅企业版",[332,7286,447],{},[332,7288,447],{},[332,7290,3720],{},[309,7292,7293,7295,7298,7301,7303],{},[332,7294,366],{},[332,7296,7297],{},"★ 最简单",[332,7299,7300],{},"★★★",[332,7302,7300],{},[332,7304,7305],{},"★★",[309,7307,7308,7311,7313,7315,7317],{},[332,7309,7310],{},"工作流编排",[332,7312,2935],{},[332,7314,3672],{},[332,7316,2941],{},[332,7318,2941],{},[309,7320,7321,7324,7326,7328,7330],{},[332,7322,7323],{},"RAG 精度",[332,7325,2941],{},[332,7327,2935],{},[332,7329,3672],{},[332,7331,2941],{},[309,7333,7334,7337,7339,7341,7343],{},[332,7335,7336],{},"字节生态",[332,7338,3672],{},[332,7340,420],{},[332,7342,420],{},[332,7344,7345],{},"❌（腾讯系）",[309,7347,7348,7351,7354,7356,7358],{},[332,7349,7350],{},"插件市场",[332,7352,7353],{},"★★★★★ 200+",[332,7355,2941],{},[332,7357,2941],{},[332,7359,2941],{},[309,7361,7362,7365,7367,7369,7371],{},[332,7363,7364],{},"中文社区",[332,7366,3672],{},[332,7368,2935],{},[332,7370,2935],{},[332,7372,2935],{},[26,7374,7375,7378,7379,7384,7385,6931],{},[42,7376,7377],{},"怎么选","（综合 ",[279,7380,7383],{"href":7381,"rel":7382},"https:\u002F\u002Fwww.besthub.dev\u002Farticles\u002Fcoze-vs-dify-vs-fastgpt-which-ai-agent-platform-fits-your-needs-fa59cf97b798",[283],"BestHub 2025-07"," 和 ",[279,7386,7388],{"href":6891,"rel":7387},[283],"博客园 2026-01",[36,7390,7391,7397,7405,7412],{},[39,7392,7393,7396],{},[42,7394,7395],{},"快速验证 \u002F 不懂代码 \u002F 1-2 天出原型"," → Coze",[39,7398,7399,7402,7403],{},[42,7400,7401],{},"数据安全要求高 \u002F 复杂业务流程 \u002F 有技术团队"," → ",[279,7404,7250],{"href":7249},[39,7406,7407,7402,7410],{},[42,7408,7409],{},"核心场景就是企业知识库 QA",[279,7411,7256],{"href":7255},[39,7413,7414,7402,7417],{},[42,7415,7416],{},"QQ \u002F 微信生态 + 腾讯系",[279,7418,7419],{"href":7261},"元器",[21,7421,3814],{"id":3814},[36,7423,7424,7434,7440,7455,7465,7471,7482,7488],{},[39,7425,7426,7429,7430,7433],{},[42,7427,7428],{},"国内版 vs 国际版的\"双账号陷阱\"","：扣子（coze.cn）和 Coze（coze.com）是",[42,7431,7432],{},"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",[39,7435,7436,7439],{},[42,7437,7438],{},"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",[39,7441,7442,7445,7446,7449,7450,7454],{},[42,7443,7444],{},"飞书多维表格插件数据格式坑","：写入多维表格需要 ",[215,7447,7448],{},"Array\u003CObject>"," 格式，代码节点要做转换（参考 ",[279,7451,7453],{"href":6928,"rel":7452},[283],"火山引擎 2025 教程","）",[39,7456,7457,7460,7461,7464],{},[42,7458,7459],{},"工作流读取飞书表格默认 20 条","：要改 ",[215,7462,7463],{},"page_size","，最大 500 条；超过 500 要分页或循环",[39,7466,7467,7470],{},[42,7468,7469],{},"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",[39,7472,7473,7476,7477,3392,7479,7481],{},[42,7474,7475],{},"企业版\"私有化\"是有限的","：完全数据不出网仍建议 ",[279,7478,7250],{"href":7249},[279,7480,7256],{"href":7255}," 自托管",[39,7483,7484,7487],{},[42,7485,7486],{},"国际版接 Claude \u002F GPT 需要 BYOK","：自己绑海外信用卡，平台不代付",[39,7489,7490,7493],{},[42,7491,7492],{},"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",[21,7495,519],{"id":518},[26,7497,3885],{},[36,7499,7500,7503,7506,7509,7512],{},[39,7501,7502],{},"产品 \u002F 运营 \u002F 非技术人员快速做 Bot",[39,7504,7505],{},"在飞书 \u002F 抖音 \u002F 头条生态内做集成",[39,7507,7508],{},"个人副业（小红书账号批量内容生成等）",[39,7510,7511],{},"中小企业客服 Bot（3 天上线）",[39,7513,7514],{},"想用豆包 \u002F DeepSeek 国产模型的人",[26,7516,3905],{},[36,7518,7519,7522,7525,7530,7537],{},[39,7520,7521],{},"金融 \u002F 政府 \u002F 医疗（数据敏感，需自托管）",[39,7523,7524],{},"复杂业务系统深度集成（自由度不够）",[39,7526,7527,7528,7454],{},"反感字节生态（去 ",[279,7529,7250],{"href":7249},[39,7531,7532,7533,3392,7535,7454],{},"希望开源 \u002F 完全自主可控（去 ",[279,7534,7250],{"href":7249},[279,7536,7256],{"href":7255},[39,7538,7539,7540,3392,7542,7546],{},"海外 toB SaaS 产品后端（",[279,7541,7250],{"href":7249},[279,7543,7545],{"href":7544},"\u002Fagent\u002Fplatform\u002Flangflow.html","Langflow"," 更合适）",[21,7548,551],{"id":551},[36,7550,7551,7565,7579,7595],{},[39,7552,3933,7553,3392,7555,3392,7557,3392,7559,3392,7561],{},[279,7554,7250],{"href":7249},[279,7556,7256],{"href":7255},[279,7558,7419],{"href":7261},[279,7560,7545],{"href":7544},[279,7562,7564],{"href":7563},"\u002Fagent\u002Fplatform\u002Fn8n.html","n8n",[39,7566,3944,7567,3392,7569,3392,7573,3392,7577],{},[279,7568,3948],{"href":3947},[279,7570,7572],{"href":7571},"\u002Fwiki\u002Frag.html","RAG",[279,7574,7576],{"href":7575},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[279,7578,3951],{"href":3947},[39,7580,3955,7581,3392,7585,3392,7589,3392,7591],{},[279,7582,7584],{"href":7583},"\u002Fmodels\u002Fdoubao-1-5-pro.html","豆包 Doubao",[279,7586,7588],{"href":7587},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[279,7590,3967],{"href":3966},[279,7592,7594],{"href":7593},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[39,7596,3970,7597,3392,7599],{},[279,7598,3978],{"href":3977},[279,7600,3974],{"href":3973},[21,7602,574],{"id":574},[36,7604,7605,7611,7617,7624,7627],{},[39,7606,7607,7608],{},"国内版：",[279,7609,6872],{"href":6872,"rel":7610},[283],[39,7612,7613,7614],{},"国际版：",[279,7615,6878],{"href":6878,"rel":7616},[283],[39,7618,7619,7620],{},"官方文档：",[279,7621,7622],{"href":7622,"rel":7623},"https:\u002F\u002Fdocs.coze.com",[283],[39,7625,7626],{},"第三方选型评测：cnblogs.com \u002F besthub.dev \u002F aibotgo.net",[39,7628,7629],{},"实战教程：火山引擎社区、今日头条 涛哥讲AI",[26,7631,7632,7633,4005],{},"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 ",[279,7634,4004],{"href":4003},{"title":213,"searchDepth":250,"depth":250,"links":7636},[7637,7638,7644,7645,7646,7647,7648,7649,7650],{"id":23,"depth":228,"text":24},{"id":3249,"depth":228,"text":3249,"children":7639},[7640,7641,7642,7643],{"id":6904,"depth":250,"text":6905},{"id":6993,"depth":250,"text":6994},{"id":7040,"depth":250,"text":7041},{"id":7067,"depth":250,"text":7068},{"id":3419,"depth":228,"text":3419},{"id":7193,"depth":228,"text":7194},{"id":3595,"depth":228,"text":3595},{"id":3814,"depth":228,"text":3814},{"id":518,"depth":228,"text":519},{"id":551,"depth":228,"text":551},{"id":574,"depth":228,"text":574},"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。",[1764,642],{},[7657,7658,4032,7659,7660],"doubao-pro","deepseek-v3","gpt-4o (国际版)","claude (国际版)",[7662,7663,7664],"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",[1767],[7668,7673,7678,7682],{"plan":7669,"price":7670,"limit":7671,"cn_pay":3081,"note":7672},"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":7174,"price":7674,"limit":7675,"cn_pay":7676,"note":7677},"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":7180,"price":7679,"limit":7680,"cn_pay":447,"note":7681},"议价","VPC、合规、SLA、私有化（部分）","B 端落地",{"plan":7683,"price":7684,"cn_pay":7685,"note":7686,"limit":3081},"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",[7689,7690,7691,7692],"coze-deep-review","coze-vs-dify","dify-deep-review","fastgpt-deep-review",{"power":257,"ux":263,"price":257,"cn_support":263,"stability":257},{"title":6850,"description":7653},"Coze 扣子评测 2026：字节 AI Agent 平台，对比 Dify",[7697,7699,7701,7703,7705],{"title":7698,"url":6872},"Coze 国内版（扣子）",{"title":7700,"url":6878},"Coze 国际版",{"title":7702,"url":7622},"Coze 官方文档",{"title":7704,"url":6891},"Coze vs Dify vs FastGPT 选型 2026",{"title":7706,"url":7381},"BestHub 三平台对比","tools\u002Fagent\u002Fplatform\u002Fcoze",[7709,7710,7711,7712,7713],"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",[7716,7717,7718,7719,7720,7721],"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。","necnnd5prSTfssbiPIQOZWkZ3WDKHK3nbAKz7ZhN7uc",[7725],{"id":7726,"title":7727,"body":7728,"cover":8937,"description":8938,"extension":624,"lastVerified":16,"meta":8939,"navigation":253,"path":8940,"published":661,"relatedTools":8941,"seo":8942,"stem":8943,"tags":8944,"updated":661,"verdict":8947,"__hash__":8948},"review\u002Freview\u002Fopenhuman-deep-review.md","OpenHuman 深度评测：开源个人 AI 超级智能助手，真正懂你的数字分身",{"type":18,"value":7729,"toc":8883},[7730,7732,7743,7750,7756,7760,7766,7772,7778,7784,7790,7794,7797,7800,7842,7845,7940,7943,7946,7949,7953,7956,8033,8037,8040,8043,8046,8049,8053,8056,8160,8163,8166,8169,8172,8176,8179,8182,8214,8217,8220,8226,8231,8236,8241,8243,8246,8249,8252,8416,8419,8422,8425,8428,8454,8457,8462,8479,8484,8495,8501,8504,8530,8533,8537,8540,8544,8547,8551,8554,8558,8561,8564,8568,8571,8575,8578,8582,8585,8589,8592,8594,8597,8633,8636,8694,8700,8703,8709,8712,8738,8741,8743,8746,8749,8752,8754,8758,8761,8765,8768,8772,8775,8779,8786,8796,8802,8808,8815,8817,8842,8844,8880],[21,7731,2380],{"id":2380},[26,7733,7734,7735,7738,7739,7742],{},"如果你是",[42,7736,7737],{},"知识工作者 \u002F Obsidian 用户 \u002F 多工具协作场景 \u002F 关注数据隐私","，想要一个真正了解你、记得你、能自动学习的个人 AI 助手——",[42,7740,7741],{},"OpenHuman 在 2026 年是开源个人 AI 领域最具野心的选择之一","。Memory Tree 长期记忆系统 + 118+ 第三方 OAuth 集成 + TokenJuice 智能压缩 + 桌面原生 UI，7,800+ GitHub stars 印证了社区对其方向的认可。",[26,7744,7745,7746,7749],{},"但它",[42,7747,7748],{},"不是 ChatGPT 或 Claude 的替代品","：它定位的是\"个人数字分身\"而非\"通用对话 AI\"。Early Beta 阶段功能迭代快、文档尚不完善、中文支持依赖底层模型。如果你追求开箱即用、稳定成熟的体验，建议等正式版或选商业产品。",[3138,7751,7753],{"className":7752},[3141,3142,3143],[26,7754,7755],{},"推荐建议：先用自托管模式（GPL-3.0 免费）体验 Memory Tree 和核心集成能力，确认满足需求后再考虑是否订阅付费版。初始同步需要 5-10 分钟，建议连接 3-5 个核心服务（Gmail + GitHub + Calendar）开始。",[21,7757,7759],{"id":7758},"openhuman-真正在解决的问题","OpenHuman 真正在解决的问题",[26,7761,7762,7763,2419],{},"社区讨论\"为什么 OpenHuman 火\"经常聚焦在\"7.8k Stars\"、\"桌面吉祥物\"、\"Rust 架构\"。但深一层看，OpenHuman 是在解决",[42,7764,7765],{},"个人 AI 助手领域的四个核心痛点",[26,7767,7768,7771],{},[42,7769,7770],{},"第一个痛点：AI 没有长期记忆。"," 每一次对话，AI 都像第一次见到你——它不知道你的背景、偏好、项目进展、历史决策。OpenAI 的标语直击要害：\"Every model in the world shares the same fundamental limitation: they are stateless.\" OpenHuman 的 Memory Tree 系统让 AI 拥有了持续更新的长期记忆，容量可达 10 亿 token。",[26,7773,7774,7777],{},[42,7775,7776],{},"第二个痛点：数据孤岛。"," 现代人的数字生活分散在 Gmail、Slack、GitHub、Notion、Google Calendar 等十几个平台。传统 AI 助手只能获取单一对话上下文，无法跨平台理解你的完整工作流。OpenHuman 通过 118+ OAuth 集成，一键打通所有数据源，每 20 分钟自动同步最新信息。",[26,7779,7780,7783],{},[42,7781,7782],{},"第三个痛点：高昂的上下文成本。"," Agent 系统最大的隐性成本不是模型调用，而是上下文注入。原始数据包含大量冗余——HTML 标签、长 URL、广告格式符号。OpenHuman 的 TokenJuice 智能压缩层最高可降低 80% 的 token 消耗，让 API 成本从\"烧钱\"变成\"可接受\"。",[26,7785,7786,7789],{},[42,7787,7788],{},"第四个痛点：AI 工具的学习门槛。"," 大多数 AI Agent 需要终端操作、配置 API Key、编写 Prompt。OpenHuman 从设计之初就是桌面应用优先——图形界面、OAuth 一键授权、安装即用，不需要用户懂命令行。",[21,7791,7793],{"id":7792},"memory-tree最核心的差异化能力","Memory Tree：最核心的差异化能力",[26,7795,7796],{},"Memory Tree 是 OpenHuman 的灵魂能力，也是它与所有竞品最根本的区别。",[2409,7798,7799],{"id":7799},"工作流程",[288,7801,7802,7808,7814,7820,7826,7836],{},[39,7803,7804,7807],{},[42,7805,7806],{},"数据采集","：通过 118+ OAuth 连接自动拉取邮件、文档、聊天记录、代码仓库、日历事件等",[39,7809,7810,7813],{},[42,7811,7812],{},"标准化处理","：所有数据转化为不超过 3000 token 的 canonical Markdown 块",[39,7815,7816,7819],{},[42,7817,7818],{},"智能评分","：对每个信息块进行重要性评分（基于时效性、相关性、来源权重等维度）",[39,7821,7822,7825],{},[42,7823,7824],{},"层级摘要","：折叠成 per-source \u002F per-topic \u002F per-day 的层级摘要树",[39,7827,7828,7831,7832,7835],{},[42,7829,7830],{},"本地存储","：存入本地 SQLite 数据库，同时生成 ",[215,7833,7834],{},".md"," 文件同步到 Obsidian 兼容的知识库",[39,7837,7838,7841],{},[42,7839,7840],{},"持续更新","：每 20 分钟自动遍历所有活跃连接，增量更新记忆树",[2409,7843,7844],{"id":7844},"与传统记忆方案的区别",[303,7846,7847,7862],{},[306,7848,7849],{},[309,7850,7851,7853,7856,7859],{},[312,7852,314],{},[312,7854,7855],{},"传统 Context Window",[312,7857,7858],{},"RAG 方案",[312,7860,7861],{},"OpenHuman Memory Tree",[327,7863,7864,7880,7896,7912,7927],{},[309,7865,7866,7869,7872,7875],{},[332,7867,7868],{},"记忆容量",[332,7870,7871],{},"几万 token",[332,7873,7874],{},"百万级",[332,7876,7877],{},[42,7878,7879],{},"10 亿 token",[309,7881,7882,7885,7888,7891],{},[332,7883,7884],{},"记忆结构",[332,7886,7887],{},"线性文本",[332,7889,7890],{},"向量检索",[332,7892,7893],{},[42,7894,7895],{},"层级摘要树",[309,7897,7898,7901,7904,7907],{},[332,7899,7900],{},"更新频率",[332,7902,7903],{},"每次对话",[332,7905,7906],{},"手动索引",[332,7908,7909],{},[42,7910,7911],{},"自动 20 分钟",[309,7913,7914,7917,7920,7922],{},[332,7915,7916],{},"可读性",[332,7918,7919],{},"不可读",[332,7921,7919],{},[332,7923,7924],{},[42,7925,7926],{},"Markdown 文件，Obsidian 可编辑",[309,7928,7929,7931,7933,7936],{},[332,7930,458],{},[332,7932,463],{},[332,7934,7935],{},"可控",[332,7937,7938],{},[42,7939,104],{},[2409,7941,7942],{"id":7942},"实际体验",[26,7944,7945],{},"Memory Tree 最直观的感受是：AI 不需要你重复介绍自己。你问\"帮我看看下周的会议安排\"，它已经知道你的日历数据。你问\"上周那个项目的 PR 合并了吗\"，它已经同步了 GitHub 的更新。你问\"我和张三的邮件往来里提到的那份合同\"，它能从邮件历史中检索到。",[26,7947,7948],{},"这种\"它知道你是谁\"的体验，和传统 AI 的\"每次对话都是陌生人\"形成了鲜明对比。",[21,7950,7952],{"id":7951},"tokenjuice被低估的成本杀手","TokenJuice：被低估的成本杀手",[26,7954,7955],{},"TokenJuice 是 OpenHuman 的智能压缩层，在数据进入 LLM 之前进行预处理。它的压缩手段包括：",[303,7957,7958,7971],{},[306,7959,7960],{},[309,7961,7962,7965,7968],{},[312,7963,7964],{},"压缩手段",[312,7966,7967],{},"说明",[312,7969,7970],{},"效果",[327,7972,7973,7984,7995,8006,8017],{},[309,7974,7975,7978,7981],{},[332,7976,7977],{},"HTML → Markdown",[332,7979,7980],{},"去除 HTML 标签，保留纯文本内容",[332,7982,7983],{},"省 40-60%",[309,7985,7986,7989,7992],{},[332,7987,7988],{},"长 URL 缩短",[332,7990,7991],{},"用短标识符替代长 URL",[332,7993,7994],{},"省 5-10%",[309,7996,7997,8000,8003],{},[332,7998,7999],{},"非 ASCII 字符清理",[332,8001,8002],{},"去除无关格式符号",[332,8004,8005],{},"省 5-15%",[309,8007,8008,8011,8014],{},[332,8009,8010],{},"重复内容去重",[332,8012,8013],{},"识别并去除重复信息块",[332,8015,8016],{},"省 10-30%",[309,8018,8019,8023,8028],{},[332,8020,8021],{},[42,8022,3764],{},[332,8024,8025],{},[42,8026,8027],{},"全栈压缩",[332,8029,8030],{},[42,8031,8032],{},"最高省 80%",[2409,8034,8036],{"id":8035},"这意味着什么","这意味着什么？",[26,8038,8039],{},"假设你让 AI 分析一封包含 HTML 格式的邮件（5KB HTML → 1.5KB 纯文本），再读取一个 GitHub issue 页面（10KB → 2KB Markdown），搜索 3 个相关文档（15KB → 3KB）。原始数据 30KB 经压缩后约 6KB——token 消耗从约 8,000 降到约 1,600。",[26,8041,8042],{},"按 GPT-4o 价格计算，一次深度分析的成本从 $0.04 降到 $0.008。如果每天做 50 次，月成本从 $60 降到 $12。",[2409,8044,8045],{"id":8045},"注意事项",[26,8047,8048],{},"TokenJuice 的压缩并不完美。处理合同条款、财务报表、合规材料等对文字精确性要求极高的内容时，需要关注压缩是否丢失了关键细节。项目文档也明确提示了这一点。",[21,8050,8052],{"id":8051},"_118-第三方集成一键接入你的数字生活","118+ 第三方集成：一键接入你的数字生活",[26,8054,8055],{},"OpenHuman 支持 118 个以上第三方服务的 OAuth 一键接入，覆盖范围广泛：",[303,8057,8058,8071],{},[306,8059,8060],{},[309,8061,8062,8065,8068],{},[312,8063,8064],{},"类别",[312,8066,8067],{},"代表服务",[312,8069,8070],{},"用途",[327,8072,8073,8084,8095,8106,8117,8128,8139,8149],{},[309,8074,8075,8078,8081],{},[332,8076,8077],{},"邮件",[332,8079,8080],{},"Gmail、Outlook",[332,8082,8083],{},"阅读邮件、检索历史通信",[309,8085,8086,8089,8092],{},[332,8087,8088],{},"文档",[332,8090,8091],{},"Notion、Google Docs、Obsidian",[332,8093,8094],{},"知识库同步、文档摘要",[309,8096,8097,8100,8103],{},[332,8098,8099],{},"代码",[332,8101,8102],{},"GitHub、GitLab",[332,8104,8105],{},"PR 状态、代码变更、Issue 追踪",[309,8107,8108,8111,8114],{},[332,8109,8110],{},"沟通",[332,8112,8113],{},"Slack、Discord",[332,8115,8116],{},"聊天记录检索、通知摘要",[309,8118,8119,8122,8125],{},[332,8120,8121],{},"日历",[332,8123,8124],{},"Google Calendar、Outlook Calendar",[332,8126,8127],{},"日程安排、会议提醒",[309,8129,8130,8133,8136],{},[332,8131,8132],{},"存储",[332,8134,8135],{},"Google Drive、Dropbox",[332,8137,8138],{},"文件检索、内容分析",[309,8140,8141,8143,8146],{},[332,8142,7130],{},[332,8144,8145],{},"Stripe",[332,8147,8148],{},"交易记录、账单查询",[309,8150,8151,8154,8157],{},[332,8152,8153],{},"项目管理",[332,8155,8156],{},"Linear、Jira",[332,8158,8159],{},"任务状态、Sprint 回顾",[2409,8161,8162],{"id":8162},"自动同步机制",[26,8164,8165],{},"每 20 分钟自动遍历所有活跃连接，拉取增量数据到本地记忆库。不需要手动\"告诉\"AI 今天收到了什么邮件、明天有什么会议——它自己就会知道。",[2409,8167,8168],{"id":8168},"实际体验中的问题",[26,8170,8171],{},"部分 OAuth 连接器的稳定性参差不齐。Gmail 和 GitHub 表现稳定，但部分小众服务的 token 会偶尔过期需要重新授权。自动同步频率固定 20 分钟，无法手动触发即时同步——你在紧急情况下不能\"立刻\"让 AI 同步最新邮件。",[21,8173,8175],{"id":8174},"桌面原生体验ui-优先的设计哲学","桌面原生体验：UI 优先的设计哲学",[26,8177,8178],{},"与 OpenClaw、Hermes Agent 等终端优先的 Agent 不同，OpenHuman 从设计之初就是桌面应用优先。",[2409,8180,8181],{"id":8181},"技术架构",[36,8183,8184,8190,8196,8202,8208],{},[39,8185,8186,8189],{},[42,8187,8188],{},"桌面框架","：Tauri（Rust 后端 + Web 前端）",[39,8191,8192,8195],{},[42,8193,8194],{},"前端","：TypeScript \u002F JavaScript",[39,8197,8198,8201],{},[42,8199,8200],{},"后端核心","：Rust",[39,8203,8204,8207],{},[42,8205,8206],{},"包管理","：pnpm",[39,8209,8210,8213],{},[42,8211,8212],{},"构建工具","：CMake + Ninja",[26,8215,8216],{},"Rust + Tauri 的选择意味着：相比 Electron 方案，内存占用更低、启动速度更快、安装包更小。",[2409,8218,8219],{"id":8219},"关键交互设计",[26,8221,8222,8225],{},[42,8223,8224],{},"桌面吉祥物（Mascot）","：一个有表情、会说话的桌面小伙伴，能响应环境变化。它不只是装饰——当有新的邮件摘要、日历提醒或系统通知时，吉祥物会主动提醒你。",[26,8227,8228,8230],{},[42,8229,74],{},"：可以以真实参与者身份加入你的线上会议。这意味着 AI 可以\"参加\"会议、记录会议纪要、提取行动项——这是目前大多数 AI 助手做不到的。",[26,8232,8233,8235],{},[42,8234,80],{},"：支持语音输入（STT）和语音输出（ElevenLabs TTS），带唇形同步。打字不方便时可以直接语音对话。",[26,8237,8238,8240],{},[42,8239,86],{},"：即使你不主动交互，AI 也在后台持续分析和整理信息——总结未读邮件、提取关键文档内容、更新记忆树结构。",[2409,8242,502],{"id":502},[26,8244,8245],{},"桌面吉祥物 + 后台同步 + 持续思考，对资源有一定要求。建议 8GB+ 内存。低配机器（4GB 内存）上吉祥物动画会略卡顿，可以关闭吉祥物功能以节省资源。",[21,8247,8248],{"id":8248},"与同类产品对比",[26,8250,8251],{},"OpenHuman 在 GitHub README 和相关社区文章中提供了与主流产品的对比：",[303,8253,8254,8271],{},[306,8255,8256],{},[309,8257,8258,8261,8263,8265,8267],{},[312,8259,8260],{},"特性",[312,8262,319],{},[312,8264,322],{},[312,8266,325],{},[312,8268,8269],{},[42,8270,11],{},[327,8272,8273,8285,8300,8315,8330,8347,8361,8374,8386,8398],{},[309,8274,8275,8277,8279,8281,8283],{},[332,8276,350],{},[332,8278,356],{},[332,8280,359],{},[332,8282,359],{},[332,8284,353],{},[309,8286,8287,8289,8292,8295,8297],{},[332,8288,366],{},[332,8290,8291],{},"✅ 桌面+CLI",[332,8293,8294],{},"⚠️ 终端优先",[332,8296,8294],{},[332,8298,8299],{},"✅ UI 优先，几分钟上手",[309,8301,8302,8304,8307,8310,8312],{},[332,8303,2812],{},[332,8305,8306],{},"⚠️ 订阅+附加",[332,8308,8309],{},"⚠️ 自备模型",[332,8311,8309],{},[332,8313,8314],{},"✅ 一价全包+TokenJuice",[309,8316,8317,8319,8321,8323,8325],{},[332,8318,382],{},[332,8320,388],{},[332,8322,391],{},[332,8324,394],{},[332,8326,8327],{},[42,8328,8329],{},"Memory Tree+Obsidian",[309,8331,8332,8334,8337,8340,8342],{},[332,8333,399],{},[332,8335,8336],{},"⚠️ 少",[332,8338,8339],{},"⚠️ 需自建",[332,8341,8339],{},[332,8343,8344],{},[42,8345,8346],{},"118+ OAuth 集成",[309,8348,8349,8351,8354,8356,8358],{},[332,8350,92],{},[332,8352,8353],{},"❌ 无",[332,8355,8353],{},[332,8357,8353],{},[332,8359,8360],{},"✅ 20 分钟自动抓取",[309,8362,8363,8365,8367,8369,8371],{},[332,8364,429],{},[332,8366,435],{},[332,8368,438],{},[332,8370,438],{},[332,8372,8373],{},"✅ 内置智能路由",[309,8375,8376,8378,8380,8382,8384],{},[332,8377,68],{},[332,8379,420],{},[332,8381,420],{},[332,8383,420],{},[332,8385,447],{},[309,8387,8388,8390,8392,8394,8396],{},[332,8389,458],{},[332,8391,463],{},[332,8393,466],{},[332,8395,466],{},[332,8397,104],{},[309,8399,8400,8403,8406,8409,8411],{},[332,8401,8402],{},"技术栈",[332,8404,8405],{},"专有",[332,8407,8408],{},"Python",[332,8410,8408],{},[332,8412,8413],{},[42,8414,8415],{},"Rust (Tauri)",[2409,8417,8418],{"id":8418},"一句话总结",[26,8420,8421],{},"OpenHuman 的优势在于**\"开箱即用的个人记忆\"**——别人需要插件、配置、自建连接器的地方，它已经内置好了。Claude Cowork 和 OpenClaw 更偏向通用任务执行，OpenHuman 更偏向\"了解你这个人\"。",[21,8423,8424],{"id":8424},"安装与上手",[2409,8426,8427],{"id":8427},"系统要求",[36,8429,8430,8436,8442,8448],{},[39,8431,8432,8435],{},[42,8433,8434],{},"操作系统","：Windows \u002F macOS \u002F Linux",[39,8437,8438,8441],{},[42,8439,8440],{},"运行时","：Node.js 24+（开发）、pnpm 10.10.0（开发）、Rust 1.93.0（开发）",[39,8443,8444,8447],{},[42,8445,8446],{},"内存","：建议 8GB+",[39,8449,8450,8453],{},[42,8451,8452],{},"网络","：需要稳定网络连接（OAuth 授权 + 模型调用）",[2409,8455,8456],{"id":8456},"安装方式",[26,8458,8459],{},[42,8460,8461],{},"macOS \u002F Linux：",[208,8463,8465],{"className":210,"code":8464,"language":212,"meta":213,"style":213},"curl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh | bash\n",[215,8466,8467],{"__ignoreMap":213},[218,8468,8469,8471,8473,8475,8477],{"class":220,"line":221},[218,8470,232],{"class":231},[218,8472,236],{"class":235},[218,8474,240],{"class":239},[218,8476,244],{"class":243},[218,8478,247],{"class":231},[26,8480,8481],{},[42,8482,8483],{},"Windows（PowerShell）：",[208,8485,8489],{"className":8486,"code":8487,"language":8488,"meta":213,"style":213},"language-powershell shiki shiki-themes github-light github-dark","irm https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1 | iex\n","powershell",[215,8490,8491],{"__ignoreMap":213},[218,8492,8493],{"class":220,"line":221},[218,8494,8487],{},[26,8496,8497,8498],{},"也可以直接从官网下载安装包：",[279,8499,281],{"href":281,"rel":8500},[283],[2409,8502,8503],{"id":8503},"首次使用流程",[288,8505,8506,8512,8518,8524],{},[39,8507,8508,8511],{},[42,8509,8510],{},"安装并启动","：下载安装包或运行一键安装脚本",[39,8513,8514,8517],{},[42,8515,8516],{},"OAuth 授权","：连接你的核心服务（建议至少 3-5 个：邮箱 + 日历 + 代码仓库 + 文档）",[39,8519,8520,8523],{},[42,8521,8522],{},"等待同步","：初始同步需要 5-10 分钟（取决于数据量），Memory Tree 自动构建",[39,8525,8526,8529],{},[42,8527,8528],{},"开始对话","：AI 已经知道你的工作背景——可以问\"我今天有什么会议？\"或\"帮我总结上周的邮件\"",[21,8531,8532],{"id":8532},"适用场景",[2409,8534,8536],{"id":8535},"_1-个人知识管理","1. 个人知识管理",[26,8538,8539],{},"你是 Obsidian 用户，日常管理大量笔记和文档。OpenHuman 自动将邮箱、文档、聊天记录转化为 Markdown 文件同步到 Obsidian 知识库。你的知识库不再是\"手动维护\"的，而是\"AI 自动补充\"的。",[2409,8541,8543],{"id":8542},"_2-多工具协作场景","2. 多工具协作场景",[26,8545,8546],{},"你的工作流跨越 Gmail、Slack、GitHub、Notion、Google Calendar 等多个平台。传统方式需要手动在工具间切换，信息割裂。OpenHuman 打通所有数据源，让你在一个地方了解全貌。",[2409,8548,8550],{"id":8549},"_3-隐私敏感场景","3. 隐私敏感场景",[26,8552,8553],{},"你不想把个人数据上传到商业 AI 产品（ChatGPT、Claude 等）的云端服务器。OpenHuman 核心记忆数据存储在本地 SQLite，可以通过 Ollama 运行本地 LLM，敏感任务完全不上云。",[2409,8555,8557],{"id":8556},"_4-早期尝鲜者","4. 早期尝鲜者",[26,8559,8560],{},"你愿意尝试 Early Beta 产品，能接受偶尔的 bug 和功能迭代。OpenHuman 的方向正确、架构合理、社区活跃，值得持续关注。",[21,8562,8563],{"id":8563},"不推荐场景",[2409,8565,8567],{"id":8566},"_1-追求极致轻量","1. 追求极致轻量",[26,8569,8570],{},"你只需要一个简单的 AI 聊天工具，不需要 118+ 集成、不需要长期记忆、不需要桌面吉祥物。OpenHuman 的设计是\"大而全\"的，对于轻量需求来说太重了。",[2409,8572,8574],{"id":8573},"_2-完全离线运行","2. 完全离线运行",[26,8576,8577],{},"虽然数据本地存储，但 OAuth 连接需要网络授权，远程模型调用需要网络。如果你希望完全离线，甚至不需要连接任何第三方服务，OpenHuman 当前不适合。",[2409,8579,8581],{"id":8580},"_3-生产级稳定","3. 生产级稳定",[26,8583,8584],{},"Early Beta 阶段，功能迭代快，偶尔有 breaking change。文档尚在完善中，部分功能缺少详细说明。如果你的工作不能接受偶发的不稳定，建议等正式版。",[2409,8586,8588],{"id":8587},"_4-中文优先场景","4. 中文优先场景",[26,8590,8591],{},"当前英文体验最佳，中文支持依赖底层模型（GPT-4o \u002F Claude 中文效果好，但本地模型的中文能力待验证）。如果你主要使用中文且需要深度本地化体验，建议观望。",[21,8593,3419],{"id":3419},[26,8595,8596],{},"OpenHuman 提供两种模式：",[303,8598,8599,8611],{},[306,8600,8601],{},[309,8602,8603,8606,8609],{},[312,8604,8605],{},"模式",[312,8607,8608],{},"费用",[312,8610,7967],{},[327,8612,8613,8623],{},[309,8614,8615,8617,8620],{},[332,8616,133],{},[332,8618,8619],{},"待定（Early Beta）",[332,8621,8622],{},"一价全包所有模型 + 自动路由",[309,8624,8625,8628,8630],{},[332,8626,8627],{},"自托管（GPL-3.0）",[332,8629,657],{},[332,8631,8632],{},"自备 LLM API 或本地 Ollama 模型",[26,8634,8635],{},"自托管模式下，一次中等任务（5-10 步 + Memory Tree 检索）的 API 费用：",[303,8637,8638,8650],{},[306,8639,8640],{},[309,8641,8642,8644,8647],{},[312,8643,3294],{},[312,8645,8646],{},"单次成本",[312,8648,8649],{},"月度估算（每天 10 次）",[327,8651,8652,8663,8674,8684],{},[309,8653,8654,8657,8660],{},[332,8655,8656],{},"GPT-4o",[332,8658,8659],{},"$0.05-0.20",[332,8661,8662],{},"$15-60",[309,8664,8665,8668,8671],{},[332,8666,8667],{},"GPT-4o-mini",[332,8669,8670],{},"$0.005-0.02",[332,8672,8673],{},"$1.5-6",[309,8675,8676,8678,8681],{},[332,8677,3959],{},[332,8679,8680],{},"$0.08-0.25",[332,8682,8683],{},"$24-75",[309,8685,8686,8689,8691],{},[332,8687,8688],{},"本地 Ollama 模型",[332,8690,657],{},[332,8692,8693],{},"$0（电费忽略）",[26,8695,8696,8699],{},[42,8697,8698],{},"省钱策略","：日常查询用 GPT-4o-mini，深度分析用 GPT-4o \u002F Claude。TokenJuice 压缩后，大部分日常任务的 token 消耗在 500-2,000 之间，成本极低。",[21,8701,8702],{"id":8702},"未来展望",[26,8704,8705,8706,3174],{},"OpenHuman 代表了 AI 产品的一个新方向：",[42,8707,8708],{},"从\"通用智能\"走向\"个人智能\"",[26,8710,8711],{},"当前阶段，它更像是一个\"技术 demo\"——展示了个人 AI 助手应该是什么样子。真正的挑战在于：",[288,8713,8714,8720,8726,8732],{},[39,8715,8716,8719],{},[42,8717,8718],{},"连接器生态的深度","：118+ 集成听起来很多，但每个连接器的质量、稳定性、API 覆盖度需要持续打磨",[39,8721,8722,8725],{},[42,8723,8724],{},"记忆系统的准确性","：摘要的质量、评分算法的合理性、检索的精确度，决定了记忆系统的实用价值",[39,8727,8728,8731],{},[42,8729,8730],{},"隐私边界的清晰度","：OAuth 连接意味着服务商可知你的连接状态，数据本地存储但模型调用可能涉及网络传输——这些边界需要更清晰地向用户说明",[39,8733,8734,8737],{},[42,8735,8736],{},"商业模式的可持续性","：统一订阅 + 开源自托管并行的模式，需要在营收和社区之间找到平衡",[26,8739,8740],{},"但方向是对的。如果你对个人 AI Agent 感兴趣，OpenHuman 绝对值得持续关注。",[21,8742,2971],{"id":2970},[2409,8744,627],{"id":8745},"openhuman-和-chatgpt-claude-有什么不同",[26,8747,8748],{},"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\"。",[2409,8750,630],{"id":8751},"openhuman-的数据安全如何",[26,8753,631],{},[2409,8755,8757],{"id":8756},"memory-tree-和-rag-有什么区别","Memory Tree 和 RAG 有什么区别？",[26,8759,8760],{},"RAG（检索增强生成）是在查询时从外部知识库检索相关文档片段，本质是\"搜 + 答\"。Memory Tree 是持续构建的层级摘要树，AI 拥有结构化的长期记忆——不仅知道\"有什么文档\"，还知道\"文档之间的关联\"、\"历史决策的上下文\"、\"信息的时效性权重\"。",[2409,8762,8764],{"id":8763},"tokenjuice-会丢失信息吗","TokenJuice 会丢失信息吗？",[26,8766,8767],{},"对于大多数场景（邮件、文档、聊天记录），压缩后的 Markdown 保留了所有关键信息。但对于合同条款、财务报表、合规材料等对文字精确性要求极高的内容，建议关注压缩是否丢失了细节。项目文档也提示了这一点。",[2409,8769,8771],{"id":8770},"支持移动端吗","支持移动端吗？",[26,8773,8774],{},"目前仅桌面端（Windows \u002F macOS \u002F Linux）。未来可能有移动端计划，但暂无明确时间表。",[21,8776,8778],{"id":8777},"aiho-推荐结论","AIHO 推荐结论",[26,8780,8781,8782,8785],{},"OpenHuman 是 2026 年开源个人 AI 助手领域",[42,8783,8784],{},"最具创新性的项目之一","——7.8k stars 不是白来的。Memory Tree + 118+ 集成 + TokenJuice 压缩 + 桌面原生 UI，能力栈体现了团队对\"个人 AI 助手\"的深入理解。Rust + Tauri 的技术选型保证了性能和用户体验。",[26,8787,7745,8788,8791,8792,8795],{},[42,8789,8790],{},"不是适合所有人的通用 AI 工具","。它的核心价值在于\"了解你这个人\"——如果你需要的是通用对话、代码生成、写作辅助，ChatGPT \u002F Claude 仍然是更好的选择。OpenHuman 的价值在于",[42,8793,8794],{},"个人记忆和自动化","：它知道你的工作背景、自动同步你的数字生活、替你记住那些你记不住的事情。",[26,8797,8798,8801],{},[42,8799,8800],{},"选 OpenHuman 如果","：你是知识工作者，想要一个真正了解你的 AI 助手，愿意为长期记忆和自动集成付出上手成本。",[26,8803,8804,8807],{},[42,8805,8806],{},"别选 OpenHuman 如果","：要开箱即用（去 ChatGPT \u002F Claude）、要纯中文深度优化（去国产 AI 产品）、要生产级稳定（等正式版）、追求极致轻量（不需要这些集成功能）。",[26,8809,8810,8811,8814],{},"最好的用法是",[42,8812,8813],{},"组合使用","：ChatGPT \u002F Claude 做通用对话和创作，OpenHuman 做个人记忆和自动化助手。两者互补，共同构建你的 AI 工作流。",[21,8816,551],{"id":551},[36,8818,8819,8825,8831,8837],{},[39,8820,8821],{},[279,8822,8824],{"href":8823},"\u002Fagent\u002Fgeneral\u002Fopenhuman.html","OpenHuman 工具卡：个人 AI 超级智能助手",[39,8826,8827],{},[279,8828,8830],{"href":8829},"\u002Freview\u002Fhermes-agent-deep-review.html","Hermes Agent 深度评测：自学习 AI Agent",[39,8832,8833],{},[279,8834,8836],{"href":8835},"\u002Freview\u002Fopenmanus-deep-review.html","OpenManus 深度评测：开源版 Manus",[39,8838,8839],{},[279,8840,8841],{"href":3027},"Manus 深度评测：通用 Agent 天花板",[21,8843,574],{"id":574},[288,8845,8846,8851,8856,8861,8866,8873],{},[39,8847,579,8848],{},[279,8849,582],{"href":582,"rel":8850},[283],[39,8852,586,8853],{},[279,8854,281],{"href":281,"rel":8855},[283],[39,8857,592,8858],{},[279,8859,595],{"href":595,"rel":8860},[283],[39,8862,599,8863],{},[279,8864,602],{"href":602,"rel":8865},[283],[39,8867,8868,8869],{},"CSDN — OpenHuman 深度调研报告 ",[279,8870,8871],{"href":8871,"rel":8872},"https:\u002F\u002Fblog.csdn.net\u002FAiKnighterrant\u002Farticle\u002Fdetails\u002F161504465",[283],[39,8874,8875,8876],{},"CSDN — OpenHuman 自动了解用户的 AI Agent 新范式 ",[279,8877,8878],{"href":8878,"rel":8879},"https:\u002F\u002Fblog.csdn.net\u002Fshaobingj126\u002Farticle\u002Fdetails\u002F161169056",[283],[605,8881,8882],{},"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 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