[{"data":1,"prerenderedAt":1605},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-hermes-agent-vs-openclaw":9,"compare-a-hermes-agent":10,"compare-b-openclaw":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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var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":329,"searchDepth":361,"depth":361,"links":727},[728,729,734,739,744,745,746,747],{"id":27,"depth":351,"text":27},{"id":55,"depth":351,"text":56,"children":730},[731,732,733],{"id":60,"depth":361,"text":61},{"id":106,"depth":361,"text":107},{"id":134,"depth":361,"text":135},{"id":237,"depth":351,"text":237,"children":735},[736,737,738],{"id":240,"depth":361,"text":240},{"id":270,"depth":361,"text":270},{"id":299,"depth":361,"text":299},{"id":319,"depth":351,"text":319,"children":740},[741,742,743],{"id":322,"depth":361,"text":322},{"id":422,"depth":361,"text":422},{"id":449,"depth":361,"text":449},{"id":478,"depth":351,"text":478},{"id":541,"depth":351,"text":541},{"id":654,"depth":351,"text":655},{"id":688,"depth":351,"text":688},"general","\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。",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 研究，但中文支持和文档偏弱。","3gxu2kQEY9RgT_Ir0N2dPCaoLfjN4jFfYElq7IKZGhA",{"id":829,"title":558,"alternatives":830,"api_compatible":9,"body":834,"category":1550,"chinese_friendly":376,"cover":1551,"description":1552,"domestic":751,"extension":752,"faq":1553,"free":751,"github":9,"languages":1566,"lastVerified":9,"meta":1569,"models":9,"navigation":762,"notSuitable":9,"opensource":762,"path":1570,"pillar":769,"platforms":1571,"priceTable":1573,"pricing":1577,"published":1578,"relatedPlaybooks":1579,"relatedReviews":9,"score":1581,"self_host":762,"seo":1582,"seoTitle":9,"slug":16,"sources":1583,"stem":1593,"suitable":9,"tagline":1594,"tags":1595,"updated":1586,"verdict":1602,"website":1603,"__hash__":1604},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[831,832,833],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fdesktop\u002Fautoglm","agent\u002Fdesktop\u002Fcrush",{"type":22,"value":835,"toc":1538},[836,840,843,846,848,916,918,932,936,941,964,969,995,998,1170,1173,1205,1208,1384,1387,1449,1453,1479,1481,1501,1504,1535],[25,837,839],{"id":838},"tldr","TL;DR",[29,841,842],{},"OpenClaw 是 2026 现象级开源个人 AI Agent 框架（MIT 协议）——Peter Steinberger 2025 末创建，2026-02 移交开源基金会，60 天 28-35.5 万 GitHub stars 历史级速度。差异点：Gateway 网关连接 20+ IM 平台（Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书）+ 30 分钟 Heartbeat 主动触发 + Cron 调度 + ClawHub 5400+ Skills 市场 + 多 Agent 隔离 + 本地长期记忆。完全自托管，本地 Ollama 模型零成本运行。",[29,844,845],{},"适合：要『手机 IM 一句话支使 AI 干活』的 power user；监控告警 \u002F 定时简报 \u002F 邮件分拣 \u002F 浏览器自动化等 7×24 后台场景；数据隐私敏感 + 自托管刚需；中国大陆用户（本地 Ollama 全免费）。不适合：纯 GUI \u002F 桌面交互党（Claude Desktop 更顺）；不会折腾 Node \u002F Docker \u002F WSL 的纯用户；要『一句话就跑通』的非技术用户。",[25,847,237],{"id":237},[70,849,850,856,862,868,874,880,886,892,898,904,910],{},[73,851,852,855],{},[33,853,854],{},"Gateway 多渠道","：Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F MS Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书 + WebChat + 移动 node",[73,857,858,861],{},[33,859,860],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[73,863,864,867],{},[33,865,866],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[73,869,870,873],{},[33,871,872],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[73,875,876,879],{},[33,877,878],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[73,881,882,885],{},[33,883,884],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[73,887,888,891],{},[33,889,890],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[73,893,894,897],{},[33,895,896],{},"多 LLM provider","：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[73,899,900,903],{},[33,901,902],{},"MCP 兼容","：可调用 MCP server",[73,905,906,909],{},[33,907,908],{},"Web Control UI","：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[73,911,912,915],{},[33,913,914],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[25,917,478],{"id":478},[70,919,920,926,929],{},[73,921,922,925],{},[33,923,924],{},"Self-host OSS","：$0；MIT 完全开放",[73,927,928],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[73,930,931],{},"轻度 $5-10 \u002F 月，中度 $20-30，重度 $50+ —— 全部来自外部 LLM 而非 OpenClaw 本身",[25,933,935],{"id":934},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[29,937,938],{},[33,939,940],{},"亮点：",[70,942,943,946,949,952,955,958,961],{},[73,944,945],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[73,947,948],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[73,950,951],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[73,953,954],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[73,956,957],{},"本地 Ollama 路径让数据 + 隐私完全自主",[73,959,960],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[73,962,963],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[29,965,966],{},[33,967,968],{},"踩坑：",[70,970,971,974,977,980,983,986,989,992],{},[73,972,973],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[73,975,976],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[73,978,979],{},"国内 IM 渠道（微信 \u002F 钉钉 \u002F 飞书）的 plugin 受平台风控影响，账号风险要评估",[73,981,982],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[73,984,985],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[73,987,988],{},"Web Control UI 在大量 session 下渲染偏慢",[73,990,991],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[73,993,994],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[25,996,997],{"id":997},"上手",[324,999,1001],{"className":326,"code":1000,"language":328,"meta":329,"style":329},"# 方法一：NPM\nnpm install -g openclaw\nopenclaw --version\n\n# 方法二：Docker\ndocker run -d --name openclaw \\\n  -v ~\u002F.openclaw:\u002Froot\u002F.openclaw \\\n  openclaw\u002Fopenclaw:latest\n\n# 方法三：源码\ngit clone https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\ncd openclaw && npm install && npm run start\n\n# 引导配置（model \u002F channel \u002F 权限）\nopenclaw onboard\n\n# 启动\nopenclaw                 # CLI\nopenclaw dashboard       # Web UI\n",[331,1002,1003,1008,1021,1029,1034,1039,1059,1070,1076,1081,1087,1097,1121,1126,1132,1140,1145,1151,1159],{"__ignoreMap":329},[334,1004,1005],{"class":336,"line":337},[334,1006,1007],{"class":391},"# 方法一：NPM\n",[334,1009,1010,1013,1015,1018],{"class":336,"line":351},[334,1011,1012],{"class":340},"npm",[334,1014,367],{"class":344},[334,1016,1017],{"class":354}," -g",[334,1019,1020],{"class":344}," openclaw\n",[334,1022,1023,1026],{"class":336,"line":361},[334,1024,1025],{"class":340},"openclaw",[334,1027,1028],{"class":354}," --version\n",[334,1030,1031],{"class":336,"line":376},[334,1032,1033],{"emptyLinePlaceholder":762},"\n",[334,1035,1036],{"class":336,"line":388},[334,1037,1038],{"class":391},"# 方法二：Docker\n",[334,1040,1041,1044,1047,1050,1053,1056],{"class":336,"line":395},[334,1042,1043],{"class":340},"docker",[334,1045,1046],{"class":344}," run",[334,1048,1049],{"class":354}," -d",[334,1051,1052],{"class":354}," --name",[334,1054,1055],{"class":344}," openclaw",[334,1057,1058],{"class":354}," \\\n",[334,1060,1062,1065,1068],{"class":336,"line":1061},7,[334,1063,1064],{"class":354},"  -v",[334,1066,1067],{"class":344}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[334,1069,1058],{"class":354},[334,1071,1073],{"class":336,"line":1072},8,[334,1074,1075],{"class":344},"  openclaw\u002Fopenclaw:latest\n",[334,1077,1079],{"class":336,"line":1078},9,[334,1080,1033],{"emptyLinePlaceholder":762},[334,1082,1084],{"class":336,"line":1083},10,[334,1085,1086],{"class":391},"# 方法三：源码\n",[334,1088,1090,1092,1094],{"class":336,"line":1089},11,[334,1091,341],{"class":340},[334,1093,345],{"class":344},[334,1095,1096],{"class":344}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[334,1098,1100,1102,1104,1108,1110,1112,1114,1116,1118],{"class":336,"line":1099},12,[334,1101,355],{"class":354},[334,1103,1055],{"class":344},[334,1105,1107],{"class":1106},"sVt8B"," && ",[334,1109,1012],{"class":340},[334,1111,367],{"class":344},[334,1113,1107],{"class":1106},[334,1115,1012],{"class":340},[334,1117,1046],{"class":344},[334,1119,1120],{"class":344}," start\n",[334,1122,1124],{"class":336,"line":1123},13,[334,1125,1033],{"emptyLinePlaceholder":762},[334,1127,1129],{"class":336,"line":1128},14,[334,1130,1131],{"class":391},"# 引导配置（model \u002F channel \u002F 权限）\n",[334,1133,1135,1137],{"class":336,"line":1134},15,[334,1136,1025],{"class":340},[334,1138,1139],{"class":344}," onboard\n",[334,1141,1143],{"class":336,"line":1142},16,[334,1144,1033],{"emptyLinePlaceholder":762},[334,1146,1148],{"class":336,"line":1147},17,[334,1149,1150],{"class":391},"# 启动\n",[334,1152,1154,1156],{"class":336,"line":1153},18,[334,1155,1025],{"class":340},[334,1157,1158],{"class":391},"                 # CLI\n",[334,1160,1162,1164,1167],{"class":336,"line":1161},19,[334,1163,1025],{"class":340},[334,1165,1166],{"class":344}," dashboard",[334,1168,1169],{"class":391},"       # Web UI\n",[29,1171,1172],{},"配本地免费 Ollama：",[324,1174,1176],{"className":326,"code":1175,"language":328,"meta":329,"style":329},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[331,1177,1178,1189],{"__ignoreMap":329},[334,1179,1180,1183,1186],{"class":336,"line":337},[334,1181,1182],{"class":340},"ollama",[334,1184,1185],{"class":344}," pull",[334,1187,1188],{"class":344}," llama3\n",[334,1190,1191,1193,1196,1199,1202],{"class":336,"line":351},[334,1192,1025],{"class":340},[334,1194,1195],{"class":344}," config",[334,1197,1198],{"class":344}," set",[334,1200,1201],{"class":344}," ai.provider",[334,1203,1204],{"class":344}," \"ollama\"\n",[25,1206,1207],{"id":1207},"对比",[143,1209,1210,1227],{},[146,1211,1212],{},[149,1213,1214,1216,1218,1221,1224],{},[152,1215,550],{},[152,1217,558],{},[152,1219,1220],{},"Claude Desktop",[152,1222,1223],{},"AutoGLM",[152,1225,1226],{},"Crush",[159,1228,1229,1246,1261,1275,1291,1305,1321,1336,1352,1367],{},[149,1230,1231,1234,1237,1240,1243],{},[164,1232,1233],{},"形态",[164,1235,1236],{},"IM 网关 + 多 Agent 自治",[164,1238,1239],{},"桌面客户端 + MCP",[164,1241,1242],{},"Phone\u002FWeb GUI agent",[164,1244,1245],{},"终端 TUI agent",[149,1247,1248,1251,1254,1257,1259],{},[164,1249,1250],{},"7×24 Heartbeat",[164,1252,1253],{},"✅ 30 分钟",[164,1255,1256],{},"–",[164,1258,1256],{},[164,1260,1256],{},[149,1262,1263,1266,1269,1271,1273],{},[164,1264,1265],{},"多 IM 渠道",[164,1267,1268],{},"✅ 20+",[164,1270,1256],{},[164,1272,1256],{},[164,1274,1256],{},[149,1276,1277,1280,1283,1286,1288],{},[164,1278,1279],{},"Skills 市场",[164,1281,1282],{},"✅ ClawHub 5400+",[164,1284,1285],{},"✅ MCP Connectors",[164,1287,1256],{},[164,1289,1290],{},"✅ Agent Skills 标准",[149,1292,1293,1295,1297,1300,1302],{},[164,1294,866],{},[164,1296,177],{},[164,1298,1299],{},"Projects",[164,1301,1256],{},[164,1303,1304],{},"session",[149,1306,1307,1309,1312,1315,1318],{},[164,1308,565],{},[164,1310,1311],{},"✅ MIT",[164,1313,1314],{},"闭源",[164,1316,1317],{},"✅ MIT 模型 + Apache 代码",[164,1319,1320],{},"FSL-1.1-MIT",[149,1322,1323,1326,1329,1331,1334],{},[164,1324,1325],{},"本地 LLM",[164,1327,1328],{},"✅ Ollama 友好",[164,1330,1256],{},[164,1332,1333],{},"✅ 9B 自模型",[164,1335,177],{},[149,1337,1338,1341,1344,1347,1349],{},[164,1339,1340],{},"中国大陆友好",[164,1342,1343],{},"✅ 完全",[164,1345,1346],{},"❌ 支付",[164,1348,177],{},[164,1350,1351],{},"✅ 部分",[149,1353,1354,1357,1359,1362,1364],{},[164,1355,1356],{},"起价",[164,1358,777],{},[164,1360,1361],{},"$20\u002F月 +",[164,1363,777],{},[164,1365,1366],{},"$0 + API",[149,1368,1369,1372,1375,1378,1381],{},[164,1370,1371],{},"适合",[164,1373,1374],{},"7×24 IM 触发个人 agent",[164,1376,1377],{},"MCP 生态桌面",[164,1379,1380],{},"Phone GUI",[164,1382,1383],{},"终端 power user",[25,1385,1386],{"id":1386},"避坑",[70,1388,1389,1395,1401,1407,1413,1419,1425,1431,1437,1443],{},[73,1390,1391,1394],{},[33,1392,1393],{},"Skill 选型评估","：5400+ Skill 里挑官方 \u002F 高 star \u002F 仔细看 source，沙箱模式优先",[73,1396,1397,1400],{},[33,1398,1399],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[73,1402,1403,1406],{},[33,1404,1405],{},"国内 IM 风控","：微信 \u002F 钉钉账号要用独立小号，避免主账号被风控",[73,1408,1409,1412],{},[33,1410,1411],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[73,1414,1415,1418],{},[33,1416,1417],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[73,1420,1421,1424],{},[33,1422,1423],{},"sandbox 权限默认保守","：复杂自动化要在 onboard 阶段调整权限，不要一上来全 root",[73,1426,1427,1430],{},[33,1428,1429],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[73,1432,1433,1436],{},[33,1434,1435],{},"Windows 走 WSL2","：原生 Windows 兼容差",[73,1438,1439,1442],{},[33,1440,1441],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[73,1444,1445,1448],{},[33,1446,1447],{},"Heartbeat 间隔自定义","：默认 30 分钟，做高频监控可调短，但成本对应增加",[25,1450,1452],{"id":1451},"适合-不适合","适合 \u002F 不适合",[70,1454,1455,1458,1461,1464,1467,1470,1473,1476],{},[73,1456,1457],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[73,1459,1460],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[73,1462,1463],{},"✅ 数据隐私敏感 + 自托管刚需",[73,1465,1466],{},"✅ 中国大陆用户走本地 Ollama 全免费",[73,1468,1469],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[73,1471,1472],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[73,1474,1475],{},"❌ 要一键就跑的非技术用户",[73,1477,1478],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[25,1480,688],{"id":688},[70,1482,1483,1489,1495],{},[73,1484,1485],{},[694,1486,1488],{"href":1487},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[73,1490,1491],{},[694,1492,1494],{"href":1493},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm","AutoGLM 评测",[73,1496,1497],{},[694,1498,1500],{"href":1499},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush","Crush 评测",[25,1502,1503],{"id":1503},"来源",[430,1505,1506,1514,1521,1528],{},[73,1507,1508,1509],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[694,1510,1511],{"href":1511,"rel":1512},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[1513],"nofollow",[73,1515,1516,1517],{},"技术栈 — OpenClaw 2026 实战指南 ",[694,1518,1519],{"href":1519,"rel":1520},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[1513],[73,1522,1523,1524],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[694,1525,1526],{"href":1526,"rel":1527},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[1513],[73,1529,1530,1531],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[694,1532,1533],{"href":1533,"rel":1534},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[1513],[723,1536,1537],{},"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 .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 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var(--shiki-dark-text-decoration);}",{"title":329,"searchDepth":361,"depth":361,"links":1539},[1540,1541,1542,1543,1544,1545,1546,1547,1548,1549],{"id":838,"depth":351,"text":839},{"id":237,"depth":351,"text":237},{"id":478,"depth":351,"text":478},{"id":934,"depth":351,"text":935},{"id":997,"depth":351,"text":997},{"id":1207,"depth":351,"text":1207},{"id":1386,"depth":351,"text":1386},{"id":1451,"depth":351,"text":1452},{"id":688,"depth":351,"text":688},{"id":1503,"depth":351,"text":1503},"desktop","\u002Fimg\u002Ftools\u002Fopenclaw.webp","OpenClaw 真实评测：原名 Clawdbot \u002F Moltbot，Peter Steinberger 2025 末创建，2026-02 移交开源基金会。60 天 28-35.5 万 GitHub stars，超 React 历史速度。MIT 协议自托管 Gateway 连接 Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo 等 20+ IM 平台。Heartbeat 30 分钟主动触发 + Cron + Skills（ClawHub 5400+）+ 多 Agent 隔离 + 本地长期记忆。Node 24（推荐）或 22 LTS。",[1554,1557,1560,1563],{"q":1555,"a":1556},"OpenClaw 和 Claude Desktop \u002F MCP 怎么定位？","Claude Desktop 是『桌面客户端 + MCP 工具栈』走 GUI 交互；OpenClaw 是『IM 网关 + 多 Agent + 主动 Heartbeat』走聊天 + 后台自治。两者互补：在电脑前要 GUI 体验用 Claude Desktop；离开电脑要 Telegram \u002F 微信里支使 AI 7×24 干活用 OpenClaw。OpenClaw 内部也可调用 MCP server 和 LLM provider。",{"q":1558,"a":1559},"Heartbeat 是什么？","每 30 分钟由 Gateway 主动唤醒 Agent，检查 Cron \u002F 任务队列 \u002F 监控钩子，让 AI 真正『7×24 后台运行』而非被动等用户。监控告警 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘等场景靠 Heartbeat 实现。",{"q":1561,"a":1562},"ClawHub 是什么？","OpenClaw 社区驱动的 Skills 市场，2026-05 已突破 5400 个 Skill：天气 \u002F 邮件分拣 \u002F 网页采集 \u002F 浏览器自动化 \u002F 文件整理 \u002F 多平台消息 \u002F 加密货币 \u002F 智能家居 \u002F CRM 集成等。Skill 用 YAML \u002F Markdown 描述，一键安装 + 自定义 prompt 即可。",{"q":1564,"a":1565},"中国大陆能用吗？","完全可以。OpenClaw 自托管 + MIT 开源 + 本地 Ollama 模型路径全免费 + 无外网 \u002F 海外卡依赖。微信 \u002F 钉钉 \u002F 飞书都有 channel 插件。配 Ollama llama3 \u002F Qwen 中文模型可全离线。仅外接 GPT \u002F Claude API 时需要海外网络 + 海外卡。",[755,1567,1568],"zh","multi",{},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",[772,771,1572,1043],"windows-wsl",[1574],{"plan":924,"price":777,"features":1575,"notes":1576},"MIT 全开源 + Gateway + Skills + Memory + Cron + Heartbeat + 多 Agent + 20+ IM 渠道","用户自带 LLM Key 或本地 Ollama","MIT 完全免费开源 \u002F 用户自带 LLM API（GPT \u002F Claude \u002F 本地 Ollama 全免费）","2026-06-19",[1580],"onboarding\u002Fpersonal-247-ai-agent",{"power":388,"ux":376,"price":388,"cn_support":376,"stability":376},{"title":558,"description":1552},[1584,1587,1589,1591],{"name":1585,"url":1511,"accessed":1586},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 多渠道）","2026-06-24",{"name":1588,"url":1519,"accessed":1586},"技术栈 — OpenClaw 2026 实战指南",{"name":1590,"url":1526,"accessed":1586},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat）",{"name":1592,"url":1533,"accessed":1586},"腾讯云 — Computer Use Agent 爆发分析","tools\u002Fagent\u002Fdesktop\u002Fopenclaw","2026 现象级开源个人 AI Agent——多 IM 网关 + 技能市场 ClawHub 5400+ + 7×24 Heartbeat",[821,1596,1597,1598,1599,1600,1601,1025],"self-host","gateway","mcp","multi-agent","im-bot","mit","2026 最火个人 AI Agent——『IM 触发 + 7×24 主动 + 本地控制』三件套。要从 Telegram \u002F 微信 \u002F Discord 一句话支使 AI 干活的 power user 首选。GUI 党 \u002F 非工程师仍推 Claude Desktop。","https:\u002F\u002Fdocs.openclaw.ai","q7sFgtkzW-ui9ttj9bhIHbHWtLJSEmMSW65tBv8zVwE",1784565440303]