[{"data":1,"prerenderedAt":1554},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-hermes-agent-vs-openmanus":9,"compare-a-hermes-agent":10,"compare-b-openmanus":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 pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":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 Star","agent\u002Fgeneral\u002Fhermes-agent",[796,798,801,804,807],{"title":797,"url":753},"Hermes Agent GitHub",{"title":799,"url":800},"Nous Research 官网","https:\u002F\u002Fnousresearch.com",{"title":802,"url":803},"Hermes Agent 安装教程","https:\u002F\u002Fblog.csdn.net\u002Fyweng18\u002Farticle\u002Fdetails\u002F161148047",{"title":805,"url":806},"Hermes MoA 体验报告","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7657411078791365171\u002F",{"title":808,"url":809},"Hermes vs OpenCode 对比","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7645892543409816064\u002F","tools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[812,813,814,815,816],"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",[819,820,821,822,823,824,825],"general-agent","autonomous","opensource","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":829,"title":830,"alternatives":831,"api_compatible":9,"body":835,"category":748,"chinese_friendly":376,"cover":1500,"description":1501,"domestic":751,"extension":752,"faq":1502,"free":751,"github":9,"languages":1515,"lastVerified":9,"meta":1518,"models":9,"navigation":762,"notSuitable":9,"opensource":762,"path":1519,"pillar":769,"platforms":1520,"priceTable":1522,"pricing":1526,"published":1527,"relatedPlaybooks":1528,"relatedReviews":1530,"score":1532,"self_host":762,"seo":1533,"seoTitle":9,"slug":15,"sources":1534,"stem":1544,"suitable":9,"tagline":1545,"tags":1546,"updated":1537,"verdict":1552,"website":1461,"__hash__":1553},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[832,833,834],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":22,"value":836,"toc":1488},[837,841,848,851,853,929,931,948,952,957,983,988,1014,1017,1150,1153,1161,1164,1336,1339,1399,1403,1429,1431,1451,1454,1485],[25,838,840],{"id":839},"tldr","TL;DR",[29,842,843,844,847],{},"OpenManus 是 MetaGPT 核心团队 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。差异点：MIT 协议 + Python 模块化架构 + 多 agent orchestration（",[331,845,846],{},"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。",[29,849,850],{},"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）。",[25,852,237],{"id":237},[70,854,855,863,869,875,881,887,893,899,905,911,917,923],{},[73,856,857,68,860,862],{},[33,858,859],{},"多 agent orchestration",[331,861,846],{}," 编排多个专门 agent 协作",[73,864,865,868],{},[33,866,867],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[73,870,871,874],{},[33,872,873],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[73,876,877,880],{},[33,878,879],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[73,882,883,886],{},[33,884,885],{},"OpenManus-RL","：强化学习微调分支",[73,888,889,892],{},[33,890,891],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[73,894,895,898],{},[33,896,897],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[73,900,901,904],{},[33,902,903],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[73,906,907,910],{},[33,908,909],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[73,912,913,916],{},[33,914,915],{},"Web UI 监控","：实时看 AI thinking process",[73,918,919,922],{},[33,920,921],{},"任务可视化","：步骤拆解 + 执行树",[73,924,925,928],{},[33,926,927],{},"MIT 协议","：个人 + 商用全免费",[25,930,478],{"id":478},[70,932,933,939,942,945],{},[73,934,935,938],{},[33,936,937],{},"Free \u002F OSS","：$0；MIT 协议",[73,940,941],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[73,943,944],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[73,946,947],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[25,949,951],{"id":950},"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）",[29,953,954],{},[33,955,956],{},"亮点：",[70,958,959,962,965,968,971,974,977,980],{},[73,960,961],{},"52k stars 印证社区认同度 + 活跃度",[73,963,964],{},"MetaGPT 团队背景保证架构质量",[73,966,967],{},"多 agent 协作场景比单 agent 实现稳得多",[73,969,970],{},"Playwright 浏览器自动化非常完整",[73,972,973],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[73,975,976],{},"DataAnalysis 内置 agent 模式开箱即用",[73,978,979],{},"中文支持自然（Qwen VL Plus 接入）",[73,981,982],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[29,984,985],{},[33,986,987],{},"踩坑：",[70,989,990,993,996,999,1002,1005,1008,1011],{},[73,991,992],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[73,994,995],{},"文档滞后新功能 1-2 个月",[73,997,998],{},"无官方 GUI，监控 UI 在做但不完整",[73,1000,1001],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[73,1003,1004],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[73,1006,1007],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[73,1009,1010],{},"中文 prompt 效果依赖底层模型",[73,1012,1013],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[25,1015,1016],{"id":1016},"上手",[324,1018,1020],{"className":326,"code":1019,"language":328,"meta":329,"style":329},"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",[331,1021,1022,1031,1038,1064,1074,1084,1089,1095,1106,1112,1117,1123,1131,1136,1142],{"__ignoreMap":329},[334,1023,1024,1026,1028],{"class":336,"line":337},[334,1025,341],{"class":340},[334,1027,345],{"class":344},[334,1029,1030],{"class":344}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[334,1032,1033,1035],{"class":336,"line":351},[334,1034,355],{"class":354},[334,1036,1037],{"class":344}," OpenManus\n",[334,1039,1040,1043,1045,1048,1051,1055,1058,1061],{"class":336,"line":361},[334,1041,1042],{"class":340},"python3.12",[334,1044,401],{"class":354},[334,1046,1047],{"class":344}," venv",[334,1049,1050],{"class":344}," .venv",[334,1052,1054],{"class":1053},"sVt8B"," && ",[334,1056,1057],{"class":354},"source",[334,1059,1060],{"class":344}," .venv\u002Fbin\u002Factivate",[334,1062,1063],{"class":391},"  # 或 .venv\\Scripts\\activate\n",[334,1065,1066,1068,1070,1072],{"class":336,"line":376},[334,1067,364],{"class":340},[334,1069,367],{"class":344},[334,1071,370],{"class":354},[334,1073,373],{"class":344},[334,1075,1076,1079,1081],{"class":336,"line":388},[334,1077,1078],{"class":340},"playwright",[334,1080,367],{"class":344},[334,1082,1083],{"class":344}," chromium\n",[334,1085,1086],{"class":336,"line":395},[334,1087,1088],{"emptyLinePlaceholder":762},"\n",[334,1090,1092],{"class":336,"line":1091},7,[334,1093,1094],{"class":391},"# 配 LLM API\n",[334,1096,1098,1100,1103],{"class":336,"line":1097},8,[334,1099,379],{"class":340},[334,1101,1102],{"class":344}," config\u002Fconfig.example.toml",[334,1104,1105],{"class":344}," config\u002Fconfig.toml\n",[334,1107,1109],{"class":336,"line":1108},9,[334,1110,1111],{"class":391},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[334,1113,1115],{"class":336,"line":1114},10,[334,1116,1088],{"emptyLinePlaceholder":762},[334,1118,1120],{"class":336,"line":1119},11,[334,1121,1122],{"class":391},"# 单 agent 模式\n",[334,1124,1126,1128],{"class":336,"line":1125},12,[334,1127,398],{"class":340},[334,1129,1130],{"class":344}," main.py\n",[334,1132,1134],{"class":336,"line":1133},13,[334,1135,1088],{"emptyLinePlaceholder":762},[334,1137,1139],{"class":336,"line":1138},14,[334,1140,1141],{"class":391},"# 多 agent 模式\n",[334,1143,1145,1147],{"class":336,"line":1144},15,[334,1146,398],{"class":340},[334,1148,1149],{"class":344}," run_flow.py\n",[29,1151,1152],{},"试任务示例：",[324,1154,1159],{"className":1155,"code":1157,"language":1158},[1156],"language-text","> 帮我做一份『2026 开源 AI Agent 框架』竞品对比，含表格 + 引用 + 趋势分析，输出为 markdown 文件\n","text",[331,1160,1157],{"__ignoreMap":329},[25,1162,1163],{"id":1163},"对比",[143,1165,1166,1183],{},[146,1167,1168],{},[149,1169,1170,1172,1174,1177,1180],{},[152,1171,550],{},[152,1173,830],{},[152,1175,1176],{},"LangChain",[152,1178,1179],{},"AutoGPT",[152,1181,1182],{},"CrewAI",[159,1184,1185,1202,1218,1231,1247,1260,1274,1288,1305,1319],{},[149,1186,1187,1190,1193,1196,1199],{},[164,1188,1189],{},"形态",[164,1191,1192],{},"现成 agent 实现",[164,1194,1195],{},"building blocks",[164,1197,1198],{},"早期通用 agent",[164,1200,1201],{},"多 agent 框架",[149,1203,1204,1207,1210,1213,1216],{},[164,1205,1206],{},"浏览器自动化",[164,1208,1209],{},"✅ Playwright",[164,1211,1212],{},"–",[164,1214,1215],{},"部分",[164,1217,1212],{},[149,1219,1220,1223,1225,1227,1229],{},[164,1221,1222],{},"MCP",[164,1224,177],{},[164,1226,1215],{},[164,1228,1212],{},[164,1230,1212],{},[149,1232,1233,1236,1239,1242,1244],{},[164,1234,1235],{},"多 agent",[164,1237,1238],{},"✅ orchestration",[164,1240,1241],{},"需自搭",[164,1243,570],{},[164,1245,1246],{},"✅ 旗舰",[149,1248,1249,1252,1254,1256,1258],{},[164,1250,1251],{},"DataAnalysis 内置",[164,1253,177],{},[164,1255,1212],{},[164,1257,1212],{},[164,1259,1212],{},[149,1261,1262,1265,1268,1270,1272],{},[164,1263,1264],{},"RL 微调",[164,1266,1267],{},"✅ OpenManus-RL",[164,1269,1212],{},[164,1271,1212],{},[164,1273,1212],{},[149,1275,1276,1279,1282,1284,1286],{},[164,1277,1278],{},"协议",[164,1280,1281],{},"MIT",[164,1283,1281],{},[164,1285,1281],{},[164,1287,1281],{},[149,1289,1290,1293,1296,1299,1302],{},[164,1291,1292],{},"Stars",[164,1294,1295],{},"52k+",[164,1297,1298],{},"100k+",[164,1300,1301],{},"170k+",[164,1303,1304],{},"30k+",[149,1306,1307,1309,1312,1315,1317],{},[164,1308,1016],{},[164,1310,1311],{},"中",[164,1313,1314],{},"难",[164,1316,1311],{},[164,1318,1311],{},[149,1320,1321,1324,1327,1330,1333],{},[164,1322,1323],{},"适合",[164,1325,1326],{},"自托管 Manus 复刻",[164,1328,1329],{},"底层 framework",[164,1331,1332],{},"学习经典",[164,1334,1335],{},"多 agent 协作",[25,1337,1338],{"id":1338},"避坑",[70,1340,1341,1347,1357,1363,1369,1375,1381,1387,1393],{},[73,1342,1343,1346],{},[33,1344,1345],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[73,1348,1349,1352,1353,1356],{},[33,1350,1351],{},"Playwright 依赖大","：首次 ",[331,1354,1355],{},"playwright install"," 下 chromium 慢，国内走镜像",[73,1358,1359,1362],{},[33,1360,1361],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[73,1364,1365,1368],{},[33,1366,1367],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[73,1370,1371,1374],{},[33,1372,1373],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[73,1376,1377,1380],{},[33,1378,1379],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[73,1382,1383,1386],{},[33,1384,1385],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[73,1388,1389,1392],{},[33,1390,1391],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[73,1394,1395,1398],{},[33,1396,1397],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[25,1400,1402],{"id":1401},"适合-不适合","适合 \u002F 不适合",[70,1404,1405,1408,1411,1414,1417,1420,1423,1426],{},[73,1406,1407],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[73,1409,1410],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[73,1412,1413],{},"✅ 隐私敏感 + 不愿数据上商业云",[73,1415,1416],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[73,1418,1419],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[73,1421,1422],{},"❌ 要 GUI \u002F 上手即用",[73,1424,1425],{},"❌ 生产级稳定（文档滞后 + 演进快）",[73,1427,1428],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[25,1430,688],{"id":688},[70,1432,1433,1439,1445],{},[73,1434,1435],{},[694,1436,1438],{"href":1437},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[73,1440,1441],{},[694,1442,1444],{"href":1443},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[73,1446,1447],{},[694,1448,1450],{"href":1449},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[25,1452,1453],{"id":1453},"来源",[430,1455,1456,1464,1471,1478],{},[73,1457,1458,1459],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[694,1460,1461],{"href":1461,"rel":1462},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[1463],"nofollow",[73,1465,1466,1467],{},"Foundation Agents — OpenManus 项目介绍 ",[694,1468,1469],{"href":1469,"rel":1470},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[1463],[73,1472,1473,1474],{},"Toolsverse — OpenManus 评测 + 52k stars ",[694,1475,1476],{"href":1476,"rel":1477},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[1463],[73,1479,1480,1481],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[694,1482,1483],{"href":1483,"rel":1484},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[1463],[723,1486,1487],{},"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":329,"searchDepth":361,"depth":361,"links":1489},[1490,1491,1492,1493,1494,1495,1496,1497,1498,1499],{"id":839,"depth":351,"text":840},{"id":237,"depth":351,"text":237},{"id":478,"depth":351,"text":478},{"id":950,"depth":351,"text":951},{"id":1016,"depth":351,"text":1016},{"id":1163,"depth":351,"text":1163},{"id":1338,"depth":351,"text":1338},{"id":1401,"depth":351,"text":1402},{"id":688,"depth":351,"text":688},{"id":1453,"depth":351,"text":1453},"\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。",[1503,1506,1509,1512],{"q":1504,"a":1505},"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":1507,"a":1508},"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":1510,"a":1511},"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":1513,"a":1514},"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。",[755,1516,1517],"zh","multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[771,772,773,1521],"docker",[1523],{"plan":937,"price":777,"features":1524,"notes":1525},"MIT 协议 + 全部功能 + 自托管 + 多 agent + 浏览器 + MCP + DataAnalysis + OpenManus-RL","LLM API 自付","MIT 完全免费开源 \u002F 用户自付 LLM API（GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus 任选）","2026-06-19",[1529],"onboarding\u002Fopen-source-general-agent",[790,1531],"openmanus-deep-review",{"power":388,"ux":361,"price":388,"cn_support":376,"stability":361},{"title":830,"description":1501},[1535,1538,1540,1542],{"name":1536,"url":1461,"accessed":1537},"OpenManus GitHub（FoundationAgents 组织）","2026-06-24",{"name":1539,"url":1469,"accessed":1537},"Foundation Agents — OpenManus 项目介绍",{"name":1541,"url":1476,"accessed":1537},"Toolsverse — OpenManus 评测 + 52k stars",{"name":1543,"url":1483,"accessed":1537},"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",[821,1547,1548,1549,1550,1551],"multi-agent","browser-automation","mcp","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","bwDrZ3am1nVPoISuuo1SzArkD2h3Du6eKkMXUWgpesM",1784565440296]