[{"data":1,"prerenderedAt":1448},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-hermes-agent-vs-openhuman":9,"compare-a-hermes-agent":10,"compare-b-openhuman":828},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,null,{"id":11,"title":12,"alternatives":13,"api_compatible":17,"body":21,"category":748,"chinese_friendly":351,"cover":749,"description":750,"domestic":751,"extension":752,"faq":9,"free":751,"github":753,"languages":754,"lastVerified":9,"meta":756,"models":757,"navigation":762,"notSuitable":763,"opensource":762,"path":768,"pillar":769,"platforms":770,"priceTable":774,"pricing":787,"published":788,"relatedPlaybooks":9,"relatedReviews":789,"score":791,"self_host":762,"seo":792,"seoTitle":793,"slug":794,"sources":795,"stem":810,"suitable":811,"tagline":817,"tags":818,"updated":788,"verdict":826,"website":753,"__hash__":827},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent.md","Hermes Agent",[14,15,16],"agent\u002Fgeneral\u002Fmanus","agent\u002Fgeneral\u002Fopenmanus","agent\u002Fdesktop\u002Fopenclaw",[18,19,20],"openai","anthropic","local",{"type":22,"value":23,"toc":726},"minimark",[24,28,37,43,53,57,62,69,97,104,108,115,129,132,136,142,229,235,238,241,247,265,268,271,274,294,297,300,303,317,320,323,405,420,423,429,444,447,450,476,479,533,539,542,652,656,662,668,674,680,686,689,722],[25,26,27],"h2",{"id":27},"一句话结论",[29,30,31,32,36],"p",{},"如果你想要一个",[33,34,35],"strong",{},"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。",[29,38,39,40],{},"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。",[33,41,42],{},"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。",[44,45,47],"callout",{"type":46},"info",[29,48,49,52],{},[33,50,51],{},"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\"。",[25,54,56],{"id":55},"hermes-agent-解决的核心问题","Hermes Agent 解决的核心问题",[58,59,61],"h3",{"id":60},"问题-1agent-没有长期记忆","问题 1：Agent 没有\"长期记忆\"",[29,63,64,65,68],{},"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",[33,66,67],{},"分层记忆系统","：",[70,71,72,79,85,91],"ul",{},[73,74,75,78],"li",{},[33,76,77],{},"工作记忆","：当前会话上下文，类似人类短期记忆",[73,80,81,84],{},[33,82,83],{},"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",[73,86,87,90],{},[33,88,89],{},"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",[73,92,93,96],{},[33,94,95],{},"技能记忆","：Agent 自动总结\"怎么做某件事\"的步骤，下次直接调用",[29,98,99,100,103],{},"这意味着 Hermes Agent 是",[33,101,102],{},"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。",[58,105,107],{"id":106},"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",[29,109,110,111,114],{},"2026 年 6 月，Nous Research 给 Hermes Agent 加了 ",[33,112,113],{},"MoA（Mixture of Agents）"," 功能：",[70,116,117,120,123,126],{},[73,118,119],{},"多个 Agent 实例并行处理同一个任务",[73,121,122],{},"每个 Agent 可以用不同模型（Claude \u002F GPT \u002F Hermes \u002F 本地模型）",[73,124,125],{},"结果由一个\"聚合 Agent\"合并去重、交叉验证",[73,127,128],{},"最终输出质量 > 任何单个模型",[29,130,131],{},"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。",[58,133,135],{"id":134},"问题-3agent-只能在一个地方用","问题 3：Agent 只能在一个地方用",[29,137,138,139,68],{},"Hermes Agent 支持 ",[33,140,141],{},"14 个消息渠道",[143,144,145,158],"table",{},[146,147,148],"thead",{},[149,150,151,155],"tr",{},[152,153,154],"th",{},"平台",[152,156,157],{},"状态",[159,160,161,170,178,185,192,199,206,213,221],"tbody",{},[149,162,163,167],{},[164,165,166],"td",{},"Telegram",[164,168,169],{},"✅ 推荐，最稳定",[149,171,172,175],{},[164,173,174],{},"Discord",[164,176,177],{},"✅",[149,179,180,183],{},[164,181,182],{},"Slack",[164,184,177],{},[149,186,187,190],{},[164,188,189],{},"WhatsApp",[164,191,177],{},[149,193,194,197],{},[164,195,196],{},"Signal",[164,198,177],{},[149,200,201,204],{},[164,202,203],{},"Email",[164,205,177],{},[149,207,208,211],{},[164,209,210],{},"CLI（终端）",[164,212,177],{},[149,214,215,218],{},[164,216,217],{},"Web UI",[164,219,220],{},"✅ 基础版",[149,222,223,226],{},[164,224,225],{},"微信",[164,227,228],{},"⚠️ 非官方，不稳定",[29,230,231,232],{},"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。",[33,233,234],{},"一个 Agent 实例，多个入口。",[25,236,237],{"id":237},"核心能力",[58,239,240],{"id":240},"自我进化",[29,242,243,244,68],{},"Hermes Agent 最独特的能力是 ",[33,245,246],{},"Profile 系统",[70,248,249,252,255,262],{},[73,250,251],{},"每个 Profile 是一个\"人格 + 技能包\"的组合",[73,253,254],{},"你可以创建多个 Profile（如\"代码助手\"、\"研究助手\"、\"项目经理\"）",[73,256,257,258,261],{},"Agent 在执行任务后会",[33,259,260],{},"自动总结经验","，更新 Profile 的技能库",[73,263,264],{},"下次遇到类似任务，直接调用已有技能，不用从零开始",[29,266,267],{},"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\"。",[58,269,270],{"id":270},"工具调用",[29,272,273],{},"Hermes Agent 支持自定义工具（function calling）：",[70,275,276,279,282,285,288,291],{},[73,277,278],{},"搜索引擎（Google \u002F Bing \u002F SearXNG）",[73,280,281],{},"代码执行（Python sandbox）",[73,283,284],{},"文件读写",[73,286,287],{},"Web 浏览（Playwright）",[73,289,290],{},"自定义 API 调用",[73,292,293],{},"数据库查询",[29,295,296],{},"工具配置是 JSON 格式，添加新工具只需写一个 function 定义。",[58,298,299],{"id":299},"记忆管理",[29,301,302],{},"记忆系统基于向量数据库（默认 ChromaDB）：",[70,304,305,308,311,314],{},[73,306,307],{},"自动从对话中提取关键信息存入语义记忆",[73,309,310],{},"支持手动\"forget\"删除特定记忆",[73,312,313],{},"记忆有 TTL（过期时间），避免无限膨胀",[73,315,316],{},"支持记忆导出\u002F导入（JSON 格式），方便迁移",[25,318,319],{"id":319},"使用体验",[58,321,322],{"id":322},"安装部署",[324,325,330],"pre",{"className":326,"code":327,"language":328,"meta":329,"style":329},"language-bash shiki shiki-themes github-light github-dark","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","bash","",[331,332,333,349,359,374,386,393],"code",{"__ignoreMap":329},[334,335,338,342,346],"span",{"class":336,"line":337},"line",1,[334,339,341],{"class":340},"sScJk","git",[334,343,345],{"class":344},"sZZnC"," clone",[334,347,348],{"class":344}," https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\n",[334,350,352,356],{"class":336,"line":351},2,[334,353,355],{"class":354},"sj4cs","cd",[334,357,358],{"class":344}," hermes-agent\n",[334,360,362,365,368,371],{"class":336,"line":361},3,[334,363,364],{"class":340},"pip",[334,366,367],{"class":344}," install",[334,369,370],{"class":354}," -r",[334,372,373],{"class":344}," requirements.txt\n",[334,375,377,380,383],{"class":336,"line":376},4,[334,378,379],{"class":340},"cp",[334,381,382],{"class":344}," .env.example",[334,384,385],{"class":344}," .env\n",[334,387,389],{"class":336,"line":388},5,[334,390,392],{"class":391},"sJ8bj","# 配置 LLM API key、消息平台 token\n",[334,394,396,399,402],{"class":336,"line":395},6,[334,397,398],{"class":340},"python",[334,400,401],{"class":354}," -m",[334,403,404],{"class":344}," hermes.agent\n",[29,406,407,408,411,412,415,416,419],{},"部署需要 ",[33,409,410],{},"Python 3.11+","、",[33,413,414],{},"至少 8GB RAM","（跑本地模型需要更多）、",[33,417,418],{},"向量数据库","（默认 ChromaDB，可选 Qdrant）。",[58,421,422],{"id":422},"日常使用",[29,424,425,426,68],{},"最顺的使用方式是 ",[33,427,428],{},"Telegram + Claude API",[430,431,432,435,438,441],"ol",{},[73,433,434],{},"在 Telegram 上给 Agent 发消息",[73,436,437],{},"Agent 读取记忆、规划任务、调用工具",[73,439,440],{},"执行过程中实时推送进度",[73,442,443],{},"完成后推送结果 + 自动更新记忆",[29,445,446],{},"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。",[58,448,449],{"id":449},"短板",[70,451,452,458,464,470],{},[73,453,454,457],{},[33,455,456],{},"文档偏英文","：几乎没有中文文档，国内用户上手门槛高",[73,459,460,463],{},[33,461,462],{},"稳定性","：项目迭代极快（每周多个 commit），偶尔有 breaking change",[73,465,466,469],{},[33,467,468],{},"资源消耗","：记忆系统 + 多 Agent 会占用较多内存和 API token",[73,471,472,475],{},[33,473,474],{},"UI 简陋","：Web UI 只是基础版，不如 Manus \u002F OpenClaw 精致",[25,477,478],{"id":478},"价格",[143,480,481,491],{},[146,482,483],{},[149,484,485,488],{},[152,486,487],{},"项目",[152,489,490],{},"成本",[159,492,493,501,509,517,525],{},[149,494,495,498],{},[164,496,497],{},"Hermes Agent 本体",[164,499,500],{},"免费（开源）",[149,502,503,506],{},[164,504,505],{},"LLM API",[164,507,508],{},"BYOK，用 Claude\u002FGPT 按各自 API 计费",[149,510,511,514],{},[164,512,513],{},"本地模型",[164,515,516],{},"免费但需要 GPU（70B 模型需 ~48GB VRAM）",[149,518,519,522],{},[164,520,521],{},"服务器",[164,523,524],{},"自托管需要一台 VPS（推荐 4 核 16GB 起步）",[149,526,527,530],{},[164,528,529],{},"消息平台",[164,531,532],{},"Telegram\u002FDiscord 等均免费",[29,534,535,538],{},[33,536,537],{},"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。",[25,540,541],{"id":541},"与同类对比",[143,543,544,559],{},[146,545,546],{},[149,547,548,551,553,556],{},[152,549,550],{},"维度",[152,552,12],{},[152,554,555],{},"Manus",[152,557,558],{},"OpenClaw",[159,560,561,573,585,598,612,626,638],{},[149,562,563,566,568,571],{},[164,564,565],{},"开源",[164,567,177],{},[164,569,570],{},"❌",[164,572,177],{},[149,574,575,577,580,582],{},[164,576,240],{},[164,578,579],{},"✅ Profile 系统",[164,581,570],{},[164,583,584],{},"⚠️ 有限",[149,586,587,590,593,596],{},[164,588,589],{},"长期记忆",[164,591,592],{},"✅ 分层记忆",[164,594,595],{},"❌ 单会话",[164,597,177],{},[149,599,600,603,606,609],{},[164,601,602],{},"跨平台部署",[164,604,605],{},"✅ 14 渠道",[164,607,608],{},"❌ Web only",[164,610,611],{},"⚠️ 桌面+CLI",[149,613,614,617,620,623],{},[164,615,616],{},"上手难度",[164,618,619],{},"★★★★☆",[164,621,622],{},"★☆☆☆☆",[164,624,625],{},"★★★☆☆",[149,627,628,631,634,636],{},[164,629,630],{},"中文体验",[164,632,633],{},"★★☆☆☆",[164,635,619],{},[164,637,625],{},[149,639,640,643,646,649],{},[164,641,642],{},"适合人群",[164,644,645],{},"极客\u002F研究者",[164,647,648],{},"普通用户",[164,650,651],{},"开发者",[25,653,655],{"id":654},"faq","FAQ",[29,657,658,661],{},[33,659,660],{},"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。",[29,663,664,667],{},[33,665,666],{},"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。",[29,669,670,673],{},[33,671,672],{},"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）。",[29,675,676,679],{},[33,677,678],{},"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。",[29,681,682,685],{},[33,683,684],{},"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。",[25,687,688],{"id":688},"相关阅读",[70,690,691,698,704,710,716],{},[73,692,693],{},[694,695,697],"a",{"href":696},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡",[73,699,700],{},[694,701,703],{"href":702},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus 工具卡",[73,705,706],{},[694,707,709],{"href":708},"\u002Fagent\u002Fdesktop\u002Fopenclaw.html","OpenClaw 工具卡",[73,711,712],{},[694,713,715],{"href":714},"\u002Freview\u002Fmanus-deep-review.html","Manus 深度评测",[73,717,718],{},[694,719,721],{"href":720},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark 对比",[723,724,725],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html 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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。",false,"md","https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent",[755],"en",{},[758,759,760,761],"hermes-4-405b","hermes-4-70b","claude-sonnet-4","gpt-5",true,[764,765,766,767],"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","agent",[771,772,773],"linux","macos","windows",[775,781],{"plan":776,"price":777,"limit":778,"cn_pay":779,"note":780},"开源版","$0","完整功能，自托管","—","BYOK 模式",{"plan":782,"price":783,"limit":784,"cn_pay":785,"note":786},"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",[790],"openhuman-deep-review",{"power":376,"ux":361,"price":388,"cn_support":351,"stability":361},{"title":12,"description":750},"Hermes Agent 评测 2026：Nous Research 开源自进化 AI Agent，10 万 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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 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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。",[29,843,844],{},"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。",[25,846,237],{"id":237},[70,848,849,855,861,867,873,879,885,891,897,903,909,915,921,927],{},[73,850,851,854],{},[33,852,853],{},"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",[73,856,857,860],{},[33,858,859],{},"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",[73,862,863,866],{},[33,864,865],{},"TokenJuice 智能压缩","：HTML→Markdown \u002F URL 缩短 \u002F 去重，最高省 80% token",[73,868,869,872],{},[33,870,871],{},"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",[73,874,875,878],{},[33,876,877],{},"桌面吉祥物","：有表情、会说话的桌面小伙伴，响应环境变化",[73,880,881,884],{},[33,882,883],{},"Google Meet 参会","：以真实参与者身份加入线上会议",[73,886,887,890],{},[33,888,889],{},"语音交互","：STT 语音输入 + ElevenLabs TTS 语音输出 + 唇形同步",[73,892,893,896],{},[33,894,895],{},"后台持续思考","：即使不主动交互，也在后台分析和整理信息",[73,898,899,902],{},[33,900,901],{},"自动同步","：每 20 分钟自动遍历所有活跃连接，拉取最新数据",[73,904,905,908],{},[33,906,907],{},"Obsidian 兼容","：记忆以 Markdown 形式存储，可直接用 Obsidian 查看\u002F编辑",[73,910,911,914],{},[33,912,913],{},"本地优先","：核心数据存储在本地 SQLite，不上传云端",[73,916,917,920],{},[33,918,919],{},"本地加密","：数据在设备端加密存储",[73,922,923,926],{},[33,924,925],{},"Ollama 支持","：可运行本地 LLM，敏感任务完全不上云",[73,928,929,932],{},[33,930,931],{},"GPL-3.0 开源","：完整源码可审计、可定制",[25,934,478],{"id":478},[70,936,937,943,949],{},[73,938,939,942],{},[33,940,941],{},"统一订阅","：价格待定（Early Beta）；一价全包所有模型 + 自动路由",[73,944,945,948],{},[33,946,947],{},"自托管","：$0；GPL-3.0 协议，需自备 LLM API 或本地 Ollama 模型",[73,950,951],{},"自托管一次中等任务 API 费用 $0.02-0.5（取决于模型选择）",[25,953,955],{"id":954},"实测个人-ai-助手场景","实测（个人 AI 助手场景）",[29,957,958],{},[33,959,960],{},"亮点：",[70,962,963,966,969,972,975,978,981],{},[73,964,965],{},"Memory Tree 让 AI 真正拥有\"长期记忆\"，不是每次对话从零开始",[73,967,968],{},"118+ 集成开箱即用，OAuth 一键连接，无需手动配置 API",[73,970,971],{},"TokenJuice 压缩效果显著，实测 token 消耗降低 60-80%",[73,973,974],{},"桌面 UI 设计精美，吉祥物交互有趣，不是命令行工具",[73,976,977],{},"自动同步机制省心，不用手动通知 AI 新信息",[73,979,980],{},"Obsidian 兼容让记忆透明可读，用户完全掌控自己的数据",[73,982,983],{},"智能模型路由省去手动切换模型的麻烦",[29,985,986],{},[33,987,988],{},"踩坑：",[70,990,991,994,997,1000,1003,1006,1009],{},[73,992,993],{},"Early Beta 阶段，功能迭代快，偶尔有 breaking change",[73,995,996],{},"中文支持依赖底层模型，部分场景效果不如英文",[73,998,999],{},"OAuth 连接器稳定性参差不齐，部分服务偶尔断连",[73,1001,1002],{},"桌面吉祥物 CPU\u002F内存占用不低，低配机器略卡",[73,1004,1005],{},"文档尚在完善中，部分功能缺少详细说明",[73,1007,1008],{},"自动同步频率固定 20 分钟，无法手动触发即时同步",[73,1010,1011],{},"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",[25,1013,1014],{"id":1014},"上手",[324,1016,1018],{"className":326,"code":1017,"language":328,"meta":329,"style":329},"# 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",[331,1019,1020,1025,1043,1048,1053],{"__ignoreMap":329},[334,1021,1022],{"class":336,"line":337},[334,1023,1024],{"class":391},"# macOS \u002F Linux\n",[334,1026,1027,1030,1033,1036,1040],{"class":336,"line":351},[334,1028,1029],{"class":340},"curl",[334,1031,1032],{"class":354}," -fsSL",[334,1034,1035],{"class":344}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh",[334,1037,1039],{"class":1038},"szBVR"," |",[334,1041,1042],{"class":340}," bash\n",[334,1044,1045],{"class":336,"line":361},[334,1046,1047],{"emptyLinePlaceholder":762},"\n",[334,1049,1050],{"class":336,"line":376},[334,1051,1052],{"class":391},"# Windows (PowerShell)\n",[334,1054,1055,1058,1061,1063],{"class":336,"line":388},[334,1056,1057],{"class":340},"irm",[334,1059,1060],{"class":344}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1",[334,1062,1039],{"class":1038},[334,1064,1065],{"class":340}," iex\n",[29,1067,1068,1069],{},"或从官网下载安装包：",[694,1070,1071],{"href":1071,"rel":1072},"https:\u002F\u002Ftinyhumans.ai\u002Fopenhuman",[1073],"nofollow",[29,1075,1076],{},"首次启动后：",[430,1078,1079,1082,1085],{},[73,1080,1081],{},"完成 OAuth 授权连接你的邮箱 \u002F 日历 \u002F 文档 \u002F 代码仓库",[73,1083,1084],{},"等待 2-5 分钟初始数据同步（Memory Tree 自动构建）",[73,1086,1087],{},"开始对话——AI 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自学习",[149,1173,1174,1177,1180,1183,1186],{},[164,1175,1176],{},"集成数量",[164,1178,1179],{},"118+ OAuth",[164,1181,1182],{},"少",[164,1184,1185],{},"需自建",[164,1187,1185],{},[149,1189,1190,1192,1195,1197,1199],{},[164,1191,901],{},[164,1193,1194],{},"✅ 20分钟",[164,1196,570],{},[164,1198,570],{},[164,1200,570],{},[149,1202,1203,1206,1209,1212,1215],{},[164,1204,1205],{},"模型路由",[164,1207,1208],{},"✅ 内置智能",[164,1210,1211],{},"❌ 单一",[164,1213,1214],{},"⚠️ 手动",[164,1216,1214],{},[149,1218,1219,1221,1223,1225,1227],{},[164,1220,877],{},[164,1222,177],{},[164,1224,570],{},[164,1226,570],{},[164,1228,570],{},[149,1230,1231,1234,1236,1239,1242],{},[164,1232,1233],{},"隐私",[164,1235,913],{},[164,1237,1238],{},"云端",[164,1240,1241],{},"本地",[164,1243,1241],{},[25,1245,1246],{"id":1246},"避坑",[70,1248,1249,1255,1261,1267,1273,1279,1285],{},[73,1250,1251,1254],{},[33,1252,1253],{},"Early Beta 不稳定","：功能迭代快，关键工作建议备份记忆数据",[73,1256,1257,1260],{},[33,1258,1259],{},"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",[73,1262,1263,1266],{},[33,1264,1265],{},"OAuth 断连","：部分服务 token 会过期，需定期检查连接状态",[73,1268,1269,1272],{},[33,1270,1271],{},"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",[73,1274,1275,1278],{},[33,1276,1277],{},"资源占用","：桌面吉祥物 + 后台同步建议 8GB+ 内存",[73,1280,1281,1284],{},[33,1282,1283],{},"网络依赖","：OAuth 连接和远程模型调用需要稳定网络",[73,1286,1287,1290],{},[33,1288,1289],{},"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",[25,1292,1294],{"id":1293},"适合-不适合","适合 \u002F 不适合",[70,1296,1297,1300,1303,1306,1309,1312,1315,1318,1321],{},[73,1298,1299],{},"✅ 追求个人 AI 助手真正了解你的知识工作者",[73,1301,1302],{},"✅ Obsidian 用户，希望 AI 自动维护知识库",[73,1304,1305],{},"✅ 工作流跨越多个工具（Gmail \u002F Slack \u002F Notion \u002F GitHub）",[73,1307,1308],{},"✅ 关注数据隐私，希望敏感信息保留在本地",[73,1310,1311],{},"✅ 愿意尝试 Early Beta，能接受快速迭代",[73,1313,1314],{},"❌ 追求极致轻量，不需要那么多集成功能",[73,1316,1317],{},"❌ 对隐私要求极高，希望完全离线运行",[73,1319,1320],{},"❌ 无法接受 Beta 产品的粗糙边缘和偶发 bug",[73,1322,1323],{},"❌ 需要中文深度优化（当前英文体验最佳）",[25,1325,688],{"id":688},[70,1327,1328,1333,1339],{},[73,1329,1330],{},[694,1331,1332],{"href":702},"OpenManus 工具卡：开源版 Manus",[73,1334,1335],{},[694,1336,1338],{"href":1337},"\u002Fagent\u002Fgeneral\u002Fhermes-agent.html","Hermes Agent 工具卡：自学习 AI Agent",[73,1340,1341],{},[694,1342,1344],{"href":1343},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze 平台评测",[25,1346,1347],{"id":1347},"来源",[430,1349,1350,1357,1363,1370],{},[73,1351,1352,1353],{},"OpenHuman GitHub 主仓库 + TinyHumans 组织 ",[694,1354,1355],{"href":1355,"rel":1356},"https:\u002F\u002Fgithub.com\u002Ftinyhumansai\u002Fopenhuman",[1073],[73,1358,1359,1360],{},"OpenHuman 官网 ",[694,1361,1071],{"href":1071,"rel":1362},[1073],[73,1364,1365,1366],{},"OpenHuman 文档 ",[694,1367,1368],{"href":1368,"rel":1369},"https:\u002F\u002Ftinyhumans.gitbook.io\u002Fopenhuman",[1073],[73,1371,1372,1373],{},"OpenHuman Discord ",[694,1374,1375],{"href":1375,"rel":1376},"https:\u002F\u002Fdiscord.tinyhumans.ai\u002F",[1073],[723,1378,1379],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: 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var(--shiki-dark-text-decoration);}",{"title":329,"searchDepth":361,"depth":361,"links":1381},[1382,1383,1384,1385,1386,1387,1388,1389,1390,1391],{"id":837,"depth":351,"text":838},{"id":237,"depth":351,"text":237},{"id":478,"depth":351,"text":478},{"id":954,"depth":351,"text":955},{"id":1014,"depth":351,"text":1014},{"id":1090,"depth":351,"text":1090},{"id":1246,"depth":351,"text":1246},{"id":1293,"depth":351,"text":1294},{"id":688,"depth":351,"text":688},{"id":1347,"depth":351,"text":1347},"\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。",[1395,1398,1401,1404,1407],{"q":1396,"a":1397},"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":1399,"a":1400},"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":1402,"a":1403},"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":1405,"a":1406},"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":1408,"a":1409},"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。",[755,1411],"multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman",[771,772,773],[1416,1420],{"plan":941,"price":1417,"features":1418,"notes":1419},"待定","全部模型 + 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阶段，功能迭代快，适合愿意尝鲜的用户。","04_vvWTbB6SIvLrj3ZPMYuag3r930_UxuzpUgV7DQjI",1784565440456]