[{"data":1,"prerenderedAt":1816},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-hermes-agent-vs-manus":9,"compare-a-hermes-agent":10,"compare-b-manus":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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Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[33,855,856],{},"邀请码一度被炒到 ¥5 万-10 万","（",[694,859,863],{"href":860,"rel":861},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[862],"nofollow","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。",[29,866,867,868,857,871,875,876,879],{},"2025-12 传被 ",[33,869,870],{},"Meta 以约 20-30 亿美元收购",[694,872,874],{"href":860,"rel":873},[862],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[33,877,878],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[881,882,883],"blockquote",{},[29,884,885],{},"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。",[25,887,888],{"id":888},"背景与公司",[70,890,891,902,908,914,920,931,941,947],{},[73,892,893,896,897,901],{},[33,894,895],{},"公司","：Butterfly Effect Pte. Ltd.（",[694,898,900],{"href":860,"rel":899},[862],"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）",[73,903,904,907],{},[33,905,906],{},"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）",[73,909,910,913],{},[33,911,912],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[73,915,916,919],{},[33,917,918],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[73,921,922,925,926,930],{},[33,923,924],{},"Manus 启动","：2024-10 立项，灵感来自 ",[694,927,929],{"href":928},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[73,932,933,936,937],{},[33,934,935],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[694,938,940],{"href":860,"rel":939},[862],"Demo 视频 20 小时百万播放",[73,942,943,946],{},[33,944,945],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[73,948,949,952],{},[33,950,951],{},"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",[25,954,955],{"id":955},"核心特性",[58,957,959],{"id":958},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[29,961,962,967],{},[694,963,966],{"href":964,"rel":965},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[862],"Pick Right 2026-04 评测"," 描述的架构：",[881,969,970],{},[29,971,972],{},"\"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.\"",[29,974,975,976,979],{},"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 ",[33,977,978],{},"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。",[58,981,983],{"id":982},"通用-agent-模式","通用 Agent 模式",[29,985,986,991],{},[694,987,990],{"href":988,"rel":989},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[862],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[143,993,994,1004],{},[146,995,996],{},[149,997,998,1001],{},[152,999,1000],{},"模型",[152,1002,1003],{},"GAIA 准确率",[159,1005,1006,1018,1026,1034,1042,1050],{},[149,1007,1008,1013],{},[164,1009,1010],{},[33,1011,1012],{},"Manus AI",[164,1014,1015],{},[33,1016,1017],{},">65%（SOTA）",[149,1019,1020,1023],{},[164,1021,1022],{},"H2O.ai (h2oGPTe)",[164,1024,1025],{},"65%",[149,1027,1028,1031],{},[164,1029,1030],{},"Google Langfun",[164,1032,1033],{},"49%",[149,1035,1036,1039],{},[164,1037,1038],{},"Microsoft o1",[164,1040,1041],{},"38%",[149,1043,1044,1047],{},[164,1045,1046],{},"OpenAI GPT-4o",[164,1048,1049],{},"32%",[149,1051,1052,1055],{},[164,1053,1054],{},"OpenAI GPT-4 + Plugins",[164,1056,1057],{},"15-30%",[881,1059,1060],{},[29,1061,1062],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[58,1064,1066],{"id":1065},"后台执行-长任务","后台执行 + 长任务",[29,1068,1069,1070,1073],{},"最特别的体验：任务下达后",[33,1071,1072],{},"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。",[58,1075,1077],{"id":1076},"web-app-builder","Web App Builder",[29,1079,1080,1081,1085],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[694,1082,1084],{"href":964,"rel":1083},[862],"Pick Right 评测"," 直白警告：",[881,1087,1088],{},[29,1089,1090],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[29,1092,1093,1094,1098,1099,1098,1103,1107],{},"复杂场景下出 bug 多，目前不建议生产部署，",[694,1095,1097],{"href":1096},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[694,1100,1102],{"href":1101},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[694,1104,1106],{"href":1105},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[58,1109,1110],{"id":1110},"桌面应用",[29,1112,1113],{},"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。",[58,1115,1116],{"id":1116},"多模型路由",[29,1118,1119,1120,1123],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[33,1121,1122],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[25,1125,1126],{"id":1126},"价格与运行成本",[29,1128,1129,1132],{},[694,1130,1084],{"href":964,"rel":1131},[862]," 公开档位：",[143,1134,1135,1147],{},[146,1136,1137],{},[149,1138,1139,1142,1144],{},[152,1140,1141],{},"档位",[152,1143,478],{},[152,1145,1146],{},"关键点",[159,1148,1149,1159,1170,1181],{},[149,1150,1151,1154,1156],{},[164,1152,1153],{},"Free",[164,1155,777],{},[164,1157,1158],{},"每日有限 credits，够 1 个高强度任务\u002F天",[149,1160,1161,1164,1167],{},[164,1162,1163],{},"Pro",[164,1165,1166],{},"$20\u002F月",[164,1168,1169],{},"大多数付费用户落点；中等 credit + 多模型",[149,1171,1172,1175,1178],{},[164,1173,1174],{},"Plus",[164,1176,1177],{},"$50\u002F月",[164,1179,1180],{},"更高 credit + 优先队列，10+ 任务\u002F周",[149,1182,1183,1186,1189],{},[164,1184,1185],{},"Pro+ \u002F Team",[164,1187,1188],{},"最高 $200\u002F月",[164,1190,1191],{},"最大 credit + 团队空间（功能仍有限）",[29,1193,1194,1197],{},[33,1195,1196],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[29,1199,1200,68],{},[694,1201,1203],{"href":964,"rel":1202},[862],"Pick Right 真实使用反馈",[881,1205,1206],{},[29,1207,1208],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[29,1210,1211,1214],{},[33,1212,1213],{},"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。",[25,1216,1218],{"id":1217},"上手-5-分钟","上手 5 分钟",[430,1220,1221,1229,1232,1247,1250,1256,1259],{},[73,1222,1223,1224],{},"打开 ",[694,1225,1228],{"href":1226,"rel":1227},"https:\u002F\u002Fmanus.im",[862],"manus.im",[73,1230,1231],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[73,1233,1234,1235,1238,1239],{},"给一个完整任务描述（",[33,1236,1237],{},"关键","：不要碎片化指令，给全场景）\n",[324,1240,1245],{"className":1241,"code":1243,"language":1244},[1242],"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",[331,1246,1243],{"__ignoreMap":329},[73,1248,1249],{},"选模型路由（Auto 推荐）",[73,1251,1252,1253,1255],{},"提交后",[33,1254,1072],{},"——任务在云端跑",[73,1257,1258],{},"完成后邮件 \u002F 站内通知",[73,1260,1261],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[25,1263,1264],{"id":1264},"国内使用注意事项",[430,1266,1267,1277,1283,1289],{},[73,1268,1269,68,1272,1276],{},[33,1270,1271],{},"大陆访问被屏蔽",[694,1273,1275],{"href":860,"rel":1274},[862],"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",[73,1278,1279,1282],{},[33,1280,1281],{},"访问需稳定代理","：日韩 \u002F 美国节点",[73,1284,1285,1288],{},[33,1286,1287],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[73,1290,1291,1294,1295,1299,1300,1304],{},[33,1292,1293],{},"替代路径","：国内可考虑 ",[694,1296,1298],{"href":1297},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark"," \u002F Devv \u002F ",[694,1301,1303],{"href":1302},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[25,1306,1307],{"id":1307},"与同类怎么选",[143,1309,1310,1334],{},[146,1311,1312],{},[149,1313,1314,1316,1318,1324,1328,1331],{},[152,1315,550],{},[152,1317,555],{},[152,1319,1320],{},[694,1321,1323],{"href":1322},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[152,1325,1326],{},[694,1327,1298],{"href":1297},[152,1329,1330],{},"ChatGPT Deep Research",[152,1332,1333],{},"GenAgent",[159,1335,1336,1356,1375,1392,1407,1423,1440,1458],{},[149,1337,1338,1341,1344,1347,1350,1353],{},[164,1339,1340],{},"核心定位",[164,1342,1343],{},"通用 Agent",[164,1345,1346],{},"AI 程序员",[164,1348,1349],{},"AI 搜索 + Agent",[164,1351,1352],{},"LLM Deep Research",[164,1354,1355],{},"通用",[149,1357,1358,1361,1364,1367,1370,1373],{},[164,1359,1360],{},"架构",[164,1362,1363],{},"多 sub-agent 并行",[164,1365,1366],{},"单 Agent + 沙盒",[164,1368,1369],{},"多模型",[164,1371,1372],{},"单模型",[164,1374,779],{},[149,1376,1377,1380,1383,1386,1388,1390],{},[164,1378,1379],{},"长任务",[164,1381,1382],{},"★★★★★ 小时级",[164,1384,1385],{},"★★★★★",[164,1387,625],{},[164,1389,619],{},[164,1391,625],{},[149,1393,1394,1397,1399,1401,1403,1405],{},[164,1395,1396],{},"引用密度",[164,1398,1385],{},[164,1400,625],{},[164,1402,619],{},[164,1404,625],{},[164,1406,625],{},[149,1408,1409,1412,1415,1417,1419,1421],{},[164,1410,1411],{},"App Builder",[164,1413,1414],{},"⚠️ 有但 buggy",[164,1416,570],{},[164,1418,570],{},[164,1420,570],{},[164,1422,570],{},[149,1424,1425,1428,1431,1434,1436,1438],{},[164,1426,1427],{},"中文",[164,1429,1430],{},"⚠️ 大陆屏蔽",[164,1432,1433],{},"⚠️",[164,1435,1385],{},[164,1437,1433],{},[164,1439,619],{},[149,1441,1442,1444,1447,1450,1453,1456],{},[164,1443,478],{},[164,1445,1446],{},"$20-$200",[164,1448,1449],{},"$500\u002F月",[164,1451,1452],{},"$24.99\u002F月",[164,1454,1455],{},"随 ChatGPT Plus",[164,1457,779],{},[149,1459,1460,1463,1466,1469,1472,1475],{},[164,1461,1462],{},"适合场景",[164,1464,1465],{},"research \u002F 数据分析",[164,1467,1468],{},"写代码 \u002F 修 bug",[164,1470,1471],{},"信息检索",[164,1473,1474],{},"单次深度研究",[164,1476,1477],{},"综合",[29,1479,1480,68],{},[33,1481,1482],{},"选 Manus 如果你",[70,1484,1485,1491,1494,1497],{},[73,1486,1487,1488],{},"重视 research \u002F 数据分析任务的 ",[33,1489,1490],{},"引用密度和结构化输出",[73,1492,1493],{},"想试\"开任务下班、明早看结果\"的工作流",[73,1495,1496],{},"海外 \u002F 能解决账号网络问题",[73,1498,1499],{},"预算 $20-$50\u002F月，重度用户",[29,1501,1502,68],{},[33,1503,1504],{},"别选 Manus 如果你",[70,1506,1507,1516,1519,1522],{},[73,1508,1509,1510,1098,1512,1515],{},"国内裸用（",[694,1511,1298],{"href":1297},[694,1513,1514],{"href":1302},"Yuanbao"," 更顺）",[73,1517,1518],{},"想生产部署 App（Web App Builder bug 多）",[73,1520,1521],{},"团队协作场景（功能不完善）",[73,1523,1524],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[25,1526,1527],{"id":1527},"避坑清单",[70,1529,1530,1536,1546,1552,1558,1570,1576,1582],{},[73,1531,1532,1535],{},[33,1533,1534],{},"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",[73,1537,1538,68,1541,1545],{},[33,1539,1540],{},"credit 烧得比官方页面暗示的快",[694,1542,1544],{"href":964,"rel":1543},[862],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[73,1547,1548,1551],{},[33,1549,1550],{},"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",[73,1553,1554,1557],{},[33,1555,1556],{},"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",[73,1559,1560,1563,1564,1569],{},[33,1561,1562],{},"每次任务从零开始","：没有持久 workspace，不像 ",[694,1565,1568],{"href":1566,"rel":1567},"https:\u002F\u002Fclaude.com",[862],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[73,1571,1572,1575],{},[33,1573,1574],{},"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",[73,1577,1578,1581],{},[33,1579,1580],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[73,1583,1584,1587,1588,1593],{},[33,1585,1586],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[694,1589,1592],{"href":1590,"rel":1591},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[862],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[25,1595,1597],{"id":1596},"适合-不适合","适合 \u002F 不适合",[29,1599,1600],{},"✅ 适合：",[70,1602,1603,1606,1609,1612,1615],{},[73,1604,1605],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[73,1607,1608],{},"CSV \u002F Excel 重的数据分析任务",[73,1610,1611],{},"长任务 + 不想盯着看（小时级）",[73,1613,1614],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[73,1616,1617],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[29,1619,1620],{},"❌ 不适合：",[70,1622,1623,1626,1629,1632,1635],{},[73,1624,1625],{},"生产级应用部署",[73,1627,1628],{},"团队协作工作流",[73,1630,1631],{},"预算极敏感（free 档非常受限）",[73,1633,1634],{},"大陆稳定访问需求",[73,1636,1637,1638,1641],{},"需要深度持久上下文（用 ",[694,1639,1568],{"href":1566,"rel":1640},[862]," \u002F ChatGPT Custom GPT 等）",[25,1643,688],{"id":688},[70,1645,1646,1657,1668,1683],{},[73,1647,1648,1649,1098,1651,1653,1654,1656],{},"同类对比：",[694,1650,1323],{"href":1322},[694,1652,1298],{"href":1297}," \u002F Elicit \u002F ",[694,1655,1514],{"href":1302}," \u002F Metaso",[73,1658,1659,1660,1098,1664,1667],{},"概念：",[694,1661,1663],{"href":1662},"\u002Fwiki\u002Fai-agent.html","AI Agent",[694,1665,1666],{"href":1662},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[73,1669,1670,1671,1098,1675,1098,1679],{},"模型：",[694,1672,1674],{"href":1673},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[694,1676,1678],{"href":1677},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[694,1680,1682],{"href":1681},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[73,1684,1685,1686,1098,1690],{},"进阶：",[694,1687,1689],{"href":1688},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[694,1691,1693],{"href":1692},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[25,1695,1696],{"id":1696},"来源",[70,1698,1699,1705,1708,1711],{},[73,1700,1701,1702],{},"官网：",[694,1703,1226],{"href":1226,"rel":1704},[862],[73,1706,1707],{},"Wikipedia：\"Manus (AI agent)\" 条目",[73,1709,1710],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[73,1712,1713],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[29,1715,1716,1717,1721],{},"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 ",[694,1718,1720],{"href":1719},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":329,"searchDepth":361,"depth":361,"links":1723},[1724,1725,1726,1734,1735,1736,1737,1738,1739,1740,1741],{"id":839,"depth":351,"text":840},{"id":888,"depth":351,"text":888},{"id":955,"depth":351,"text":955,"children":1727},[1728,1729,1730,1731,1732,1733],{"id":958,"depth":361,"text":959},{"id":982,"depth":361,"text":983},{"id":1065,"depth":361,"text":1066},{"id":1076,"depth":361,"text":1077},{"id":1110,"depth":361,"text":1110},{"id":1116,"depth":361,"text":1116},{"id":1126,"depth":351,"text":1126},{"id":1217,"depth":351,"text":1218},{"id":1264,"depth":351,"text":1264},{"id":1307,"depth":351,"text":1307},{"id":1527,"depth":351,"text":1527},{"id":1596,"depth":351,"text":1597},{"id":688,"depth":351,"text":688},{"id":1696,"depth":351,"text":1696},"\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。",[1745,755],"zh",{},[760,1748,1749,1750],"claude-opus-4","qwen-max","manus-internal",[1752,1753,1754,1755],"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",[1758,773,772,771],"web",[1760,1763,1766,1769],{"plan":1153,"price":777,"limit":1761,"cn_pay":779,"note":1762},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1163,"price":1166,"limit":1764,"cn_pay":785,"note":1765},"更高 credit + 更长任务时长 + 多模型路由","个人主力档",{"plan":1174,"price":1177,"limit":1767,"cn_pay":1433,"note":1768},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":1770,"price":1771,"limit":1772,"cn_pay":1433,"note":1773},"Pro+\u002FTeam","$200\u002F月","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",[1777],"onboarding\u002Fmanus-getting-started",[1779,1780,1781],"manus-deep-review","autoglm-deep-review","openmanus-deep-review",{"power":388,"ux":388,"price":361,"cn_support":376,"stability":361},{"title":555,"description":1743},[1785,1787,1790,1792,1794,1797],{"title":1786,"url":1226},"Manus 官网",{"title":1788,"url":1789},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":1791,"url":964},"Manus AI Review 2026 (Pick Right)",{"title":1793,"url":988},"Info-Tech Manus Assessment",{"title":1795,"url":1796},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":1798,"url":1799},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[1802,1803,1804,1805,1806],"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",[819,820,1809,1810,1811,1812],"computer-use","multi-agent","butterfly-effect","monica","2026-06-24","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",1784565440289]