[{"data":1,"prerenderedAt":1779},["ShallowReactive",2],{"header-counts":3,"compare-manus-vs-openmanus":6,"footer-counts":7,"compare-a-manus":10,"compare-b-openmanus":1042},{"tools":4,"reviews":5},77,25,null,{"tools":4,"reviews":5,"playbooks":8,"news":9},22,13,{"id":11,"title":12,"alternatives":13,"api_compatible":18,"body":19,"category":954,"chinese_friendly":955,"cover":956,"description":957,"domestic":958,"extension":959,"faq":6,"free":958,"github":6,"languages":960,"meta":963,"models":964,"navigation":969,"notSuitable":970,"opensource":958,"path":975,"pillar":976,"platforms":977,"priceTable":982,"pricing":998,"published":999,"relatedPlaybooks":1000,"relatedReviews":1002,"score":1004,"self_host":958,"seo":1006,"seoTitle":6,"slug":1007,"sources":1008,"stem":1024,"suitable":1025,"tagline":1031,"tags":1032,"updated":1039,"verdict":1040,"website":428,"__hash__":1041},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[14,15,16,17],"agent\u002Fgeneral\u002Fgenspark","agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":20,"value":21,"toc":932},"minimark",[22,27,69,75,78,144,147,152,160,165,172,176,184,256,261,265,272,276,284,289,306,309,312,315,322,325,331,392,398,405,410,416,420,467,470,510,513,688,693,710,715,735,738,804,808,811,828,831,852,855,905,908,925],[23,24,26],"h2",{"id":25},"tldr","TL;DR",[28,29,34,54],"div",{"className":30},[31,32,33],"card","p-5","my-4",[35,36,37,41,42,45,46,53],"p",{},[38,39,40],"strong",{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[38,43,44],{},"邀请码一度被炒到 ¥5 万-10 万","（",[47,48,52],"a",{"href":49,"rel":50},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[51],"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。",[35,55,56,57,45,60,64,65,68],{},"2025-12 传被 ",[38,58,59],{},"Meta 以约 20-30 亿美元收购",[47,61,63],{"href":49,"rel":62},[51],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[38,66,67],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[70,71,72],"blockquote",{},[35,73,74],{},"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。",[23,76,77],{"id":77},"背景与公司",[79,80,81,93,99,105,111,122,132,138],"ul",{},[82,83,84,87,88,92],"li",{},[38,85,86],{},"公司","：Butterfly Effect Pte. Ltd.（",[47,89,91],{"href":49,"rel":90},[51],"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）",[82,94,95,98],{},[38,96,97],{},"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）",[82,100,101,104],{},[38,102,103],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[82,106,107,110],{},[38,108,109],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[82,112,113,116,117,121],{},[38,114,115],{},"Manus 启动","：2024-10 立项，灵感来自 ",[47,118,120],{"href":119},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[82,123,124,127,128],{},[38,125,126],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[47,129,131],{"href":49,"rel":130},[51],"Demo 视频 20 小时百万播放",[82,133,134,137],{},[38,135,136],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[82,139,140,143],{},[38,141,142],{},"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",[23,145,146],{"id":146},"核心特性",[148,149,151],"h3",{"id":150},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[35,153,154,159],{},[47,155,158],{"href":156,"rel":157},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[51],"Pick Right 2026-04 评测"," 描述的架构：",[70,161,162],{},[35,163,164],{},"\"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.\"",[35,166,167,168,171],{},"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 ",[38,169,170],{},"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。",[148,173,175],{"id":174},"通用-agent-模式","通用 Agent 模式",[35,177,178,183],{},[47,179,182],{"href":180,"rel":181},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[51],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[185,186,187,200],"table",{},[188,189,190],"thead",{},[191,192,193,197],"tr",{},[194,195,196],"th",{},"模型",[194,198,199],{},"GAIA 准确率",[201,202,203,216,224,232,240,248],"tbody",{},[191,204,205,211],{},[206,207,208],"td",{},[38,209,210],{},"Manus AI",[206,212,213],{},[38,214,215],{},">65%（SOTA）",[191,217,218,221],{},[206,219,220],{},"H2O.ai (h2oGPTe)",[206,222,223],{},"65%",[191,225,226,229],{},[206,227,228],{},"Google Langfun",[206,230,231],{},"49%",[191,233,234,237],{},[206,235,236],{},"Microsoft o1",[206,238,239],{},"38%",[191,241,242,245],{},[206,243,244],{},"OpenAI GPT-4o",[206,246,247],{},"32%",[191,249,250,253],{},[206,251,252],{},"OpenAI GPT-4 + Plugins",[206,254,255],{},"15-30%",[70,257,258],{},[35,259,260],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[148,262,264],{"id":263},"后台执行-长任务","后台执行 + 长任务",[35,266,267,268,271],{},"最特别的体验：任务下达后",[38,269,270],{},"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。",[148,273,275],{"id":274},"web-app-builder","Web App Builder",[35,277,278,279,283],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[47,280,282],{"href":156,"rel":281},[51],"Pick Right 评测"," 直白警告：",[70,285,286],{},[35,287,288],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[35,290,291,292,296,297,296,301,305],{},"复杂场景下出 bug 多，目前不建议生产部署，",[47,293,295],{"href":294},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[47,298,300],{"href":299},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[47,302,304],{"href":303},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[148,307,308],{"id":308},"桌面应用",[35,310,311],{},"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。",[148,313,314],{"id":314},"多模型路由",[35,316,317,318,321],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[38,319,320],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[23,323,324],{"id":324},"价格与运行成本",[35,326,327,330],{},[47,328,282],{"href":156,"rel":329},[51]," 公开档位：",[185,332,333,346],{},[188,334,335],{},[191,336,337,340,343],{},[194,338,339],{},"档位",[194,341,342],{},"价格",[194,344,345],{},"关键点",[201,347,348,359,370,381],{},[191,349,350,353,356],{},[206,351,352],{},"Free",[206,354,355],{},"$0",[206,357,358],{},"每日有限 credits，够 1 个高强度任务\u002F天",[191,360,361,364,367],{},[206,362,363],{},"Pro",[206,365,366],{},"$20\u002F月",[206,368,369],{},"大多数付费用户落点；中等 credit + 多模型",[191,371,372,375,378],{},[206,373,374],{},"Plus",[206,376,377],{},"$50\u002F月",[206,379,380],{},"更高 credit + 优先队列，10+ 任务\u002F周",[191,382,383,386,389],{},[206,384,385],{},"Pro+ \u002F Team",[206,387,388],{},"最高 $200\u002F月",[206,390,391],{},"最大 credit + 团队空间（功能仍有限）",[35,393,394,397],{},[38,395,396],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[35,399,400,404],{},[47,401,403],{"href":156,"rel":402},[51],"Pick Right 真实使用反馈","：",[70,406,407],{},[35,408,409],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[35,411,412,415],{},[38,413,414],{},"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。",[23,417,419],{"id":418},"上手-5-分钟","上手 5 分钟",[421,422,423,431,434,452,455,461,464],"ol",{},[82,424,425,426],{},"打开 ",[47,427,430],{"href":428,"rel":429},"https:\u002F\u002Fmanus.im",[51],"manus.im",[82,432,433],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[82,435,436,437,440,441],{},"给一个完整任务描述（",[38,438,439],{},"关键","：不要碎片化指令，给全场景）\n",[442,443,448],"pre",{"className":444,"code":446,"language":447},[445],"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",[449,450,446],"code",{"__ignoreMap":451},"",[82,453,454],{},"选模型路由（Auto 推荐）",[82,456,457,458,460],{},"提交后",[38,459,270],{},"——任务在云端跑",[82,462,463],{},"完成后邮件 \u002F 站内通知",[82,465,466],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[23,468,469],{"id":469},"国内使用注意事项",[421,471,472,482,488,494],{},[82,473,474,404,477,481],{},[38,475,476],{},"大陆访问被屏蔽",[47,478,480],{"href":49,"rel":479},[51],"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",[82,483,484,487],{},[38,485,486],{},"访问需稳定代理","：日韩 \u002F 美国节点",[82,489,490,493],{},[38,491,492],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[82,495,496,499,500,504,505,509],{},[38,497,498],{},"替代路径","：国内可考虑 ",[47,501,503],{"href":502},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark"," \u002F Devv \u002F ",[47,506,508],{"href":507},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[23,511,512],{"id":512},"与同类怎么选",[185,514,515,540],{},[188,516,517],{},[191,518,519,522,524,530,534,537],{},[194,520,521],{},"维度",[194,523,12],{},[194,525,526],{},[47,527,529],{"href":528},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[194,531,532],{},[47,533,503],{"href":502},[194,535,536],{},"ChatGPT Deep Research",[194,538,539],{},"GenAgent",[201,541,542,562,582,601,616,633,650,668],{},[191,543,544,547,550,553,556,559],{},[206,545,546],{},"核心定位",[206,548,549],{},"通用 Agent",[206,551,552],{},"AI 程序员",[206,554,555],{},"AI 搜索 + Agent",[206,557,558],{},"LLM Deep Research",[206,560,561],{},"通用",[191,563,564,567,570,573,576,579],{},[206,565,566],{},"架构",[206,568,569],{},"多 sub-agent 并行",[206,571,572],{},"单 Agent + 沙盒",[206,574,575],{},"多模型",[206,577,578],{},"单模型",[206,580,581],{},"—",[191,583,584,587,590,593,596,599],{},[206,585,586],{},"长任务",[206,588,589],{},"★★★★★ 小时级",[206,591,592],{},"★★★★★",[206,594,595],{},"★★★☆☆",[206,597,598],{},"★★★★☆",[206,600,595],{},[191,602,603,606,608,610,612,614],{},[206,604,605],{},"引用密度",[206,607,592],{},[206,609,595],{},[206,611,598],{},[206,613,595],{},[206,615,595],{},[191,617,618,621,624,627,629,631],{},[206,619,620],{},"App Builder",[206,622,623],{},"⚠️ 有但 buggy",[206,625,626],{},"❌",[206,628,626],{},[206,630,626],{},[206,632,626],{},[191,634,635,638,641,644,646,648],{},[206,636,637],{},"中文",[206,639,640],{},"⚠️ 大陆屏蔽",[206,642,643],{},"⚠️",[206,645,592],{},[206,647,643],{},[206,649,598],{},[191,651,652,654,657,660,663,666],{},[206,653,342],{},[206,655,656],{},"$20-$200",[206,658,659],{},"$500\u002F月",[206,661,662],{},"$24.99\u002F月",[206,664,665],{},"随 ChatGPT Plus",[206,667,581],{},[191,669,670,673,676,679,682,685],{},[206,671,672],{},"适合场景",[206,674,675],{},"research \u002F 数据分析",[206,677,678],{},"写代码 \u002F 修 bug",[206,680,681],{},"信息检索",[206,683,684],{},"单次深度研究",[206,686,687],{},"综合",[35,689,690,404],{},[38,691,692],{},"选 Manus 如果你",[79,694,695,701,704,707],{},[82,696,697,698],{},"重视 research \u002F 数据分析任务的 ",[38,699,700],{},"引用密度和结构化输出",[82,702,703],{},"想试\"开任务下班、明早看结果\"的工作流",[82,705,706],{},"海外 \u002F 能解决账号网络问题",[82,708,709],{},"预算 $20-$50\u002F月，重度用户",[35,711,712,404],{},[38,713,714],{},"别选 Manus 如果你",[79,716,717,726,729,732],{},[82,718,719,720,296,722,725],{},"国内裸用（",[47,721,503],{"href":502},[47,723,724],{"href":507},"Yuanbao"," 更顺）",[82,727,728],{},"想生产部署 App（Web App Builder bug 多）",[82,730,731],{},"团队协作场景（功能不完善）",[82,733,734],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[23,736,737],{"id":737},"避坑清单",[79,739,740,746,756,762,768,780,786,792],{},[82,741,742,745],{},[38,743,744],{},"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",[82,747,748,404,751,755],{},[38,749,750],{},"credit 烧得比官方页面暗示的快",[47,752,754],{"href":156,"rel":753},[51],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[82,757,758,761],{},[38,759,760],{},"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",[82,763,764,767],{},[38,765,766],{},"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",[82,769,770,773,774,779],{},[38,771,772],{},"每次任务从零开始","：没有持久 workspace，不像 ",[47,775,778],{"href":776,"rel":777},"https:\u002F\u002Fclaude.com",[51],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[82,781,782,785],{},[38,783,784],{},"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",[82,787,788,791],{},[38,789,790],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[82,793,794,797,798,803],{},[38,795,796],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[47,799,802],{"href":800,"rel":801},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[51],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[23,805,807],{"id":806},"适合-不适合","适合 \u002F 不适合",[35,809,810],{},"✅ 适合：",[79,812,813,816,819,822,825],{},[82,814,815],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[82,817,818],{},"CSV \u002F Excel 重的数据分析任务",[82,820,821],{},"长任务 + 不想盯着看（小时级）",[82,823,824],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[82,826,827],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[35,829,830],{},"❌ 不适合：",[79,832,833,836,839,842,845],{},[82,834,835],{},"生产级应用部署",[82,837,838],{},"团队协作工作流",[82,840,841],{},"预算极敏感（free 档非常受限）",[82,843,844],{},"大陆稳定访问需求",[82,846,847,848,851],{},"需要深度持久上下文（用 ",[47,849,778],{"href":776,"rel":850},[51]," \u002F ChatGPT Custom GPT 等）",[23,853,854],{"id":854},"相关阅读",[79,856,857,868,879,894],{},[82,858,859,860,296,862,864,865,867],{},"同类对比：",[47,861,529],{"href":528},[47,863,503],{"href":502}," \u002F Elicit \u002F ",[47,866,724],{"href":507}," \u002F Metaso",[82,869,870,871,296,875,878],{},"概念：",[47,872,874],{"href":873},"\u002Fwiki\u002Fai-agent.html","AI Agent",[47,876,877],{"href":873},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[82,880,881,882,296,886,296,890],{},"模型：",[47,883,885],{"href":884},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[47,887,889],{"href":888},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[47,891,893],{"href":892},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[82,895,896,897,296,901],{},"进阶：",[47,898,900],{"href":899},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[47,902,904],{"href":903},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[23,906,907],{"id":907},"来源",[79,909,910,916,919,922],{},[82,911,912,913],{},"官网：",[47,914,428],{"href":428,"rel":915},[51],[82,917,918],{},"Wikipedia：\"Manus (AI agent)\" 条目",[82,920,921],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[82,923,924],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[35,926,927,928,931],{},"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 ",[47,929,930],{"href":930},"\u002Fsubmit"," 反馈。",{"title":451,"searchDepth":933,"depth":933,"links":934},3,[935,937,938,946,947,948,949,950,951,952,953],{"id":25,"depth":936,"text":26},2,{"id":77,"depth":936,"text":77},{"id":146,"depth":936,"text":146,"children":939},[940,941,942,943,944,945],{"id":150,"depth":933,"text":151},{"id":174,"depth":933,"text":175},{"id":263,"depth":933,"text":264},{"id":274,"depth":933,"text":275},{"id":308,"depth":933,"text":308},{"id":314,"depth":933,"text":314},{"id":324,"depth":936,"text":324},{"id":418,"depth":936,"text":419},{"id":469,"depth":936,"text":469},{"id":512,"depth":936,"text":512},{"id":737,"depth":936,"text":737},{"id":806,"depth":936,"text":807},{"id":854,"depth":936,"text":854},{"id":907,"depth":936,"text":907},"general",4,"\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。",false,"md",[961,962],"zh","en",{},[965,966,967,968],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",true,[971,972,973,974],"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","agent",[978,979,980,981],"web","windows","macos","linux",[983,986,990,993],{"plan":352,"price":355,"limit":984,"cn_pay":581,"note":985},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":363,"price":366,"limit":987,"cn_pay":988,"note":989},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":374,"price":377,"limit":991,"cn_pay":643,"note":992},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":994,"price":995,"limit":996,"cn_pay":643,"note":997},"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",[1001],"onboarding\u002Fmanus-getting-started",[1003],"manus-deep-review",{"power":1005,"ux":1005,"price":933,"cn_support":955,"stability":933},5,{"title":12,"description":957},"agent\u002Fgeneral\u002Fmanus",[1009,1011,1014,1016,1018,1021],{"title":1010,"url":428},"Manus 官网",{"title":1012,"url":1013},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":1015,"url":156},"Manus AI Review 2026 (Pick Right)",{"title":1017,"url":180},"Info-Tech Manus Assessment",{"title":1019,"url":1020},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":1022,"url":1023},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[1026,1027,1028,1029,1030],"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",[1033,1034,1035,1036,1037,1038],"general-agent","autonomous","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。","AaSPUCWb2nxYWHxSC_BBzBy3OJG69bjyadYk9bISuwc",{"id":1043,"title":1044,"alternatives":1045,"api_compatible":6,"body":1049,"category":954,"chinese_friendly":955,"cover":1728,"description":1729,"domestic":958,"extension":959,"faq":1730,"free":958,"github":6,"languages":1743,"meta":1745,"models":6,"navigation":969,"notSuitable":6,"opensource":969,"path":1746,"pillar":976,"platforms":1747,"priceTable":1749,"pricing":1753,"published":1754,"relatedPlaybooks":1755,"relatedReviews":6,"score":1757,"self_host":969,"seo":1758,"seoTitle":6,"slug":1759,"sources":1760,"stem":1769,"suitable":6,"tagline":1770,"tags":1771,"updated":1039,"verdict":1777,"website":1689,"__hash__":1778},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[1046,1047,1048],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":20,"value":1050,"toc":1716},[1051,1053,1060,1063,1066,1142,1144,1161,1165,1170,1196,1201,1227,1230,1382,1385,1391,1394,1567,1570,1630,1632,1658,1660,1680,1682,1712],[23,1052,26],{"id":25},[35,1054,1055,1056,1059],{},"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（",[449,1057,1058],{},"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。",[35,1061,1062],{},"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）。",[23,1064,1065],{"id":1065},"核心能力",[79,1067,1068,1076,1082,1088,1094,1100,1106,1112,1118,1124,1130,1136],{},[82,1069,1070,404,1073,1075],{},[38,1071,1072],{},"多 agent orchestration",[449,1074,1058],{}," 编排多个专门 agent 协作",[82,1077,1078,1081],{},[38,1079,1080],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[82,1083,1084,1087],{},[38,1085,1086],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[82,1089,1090,1093],{},[38,1091,1092],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[82,1095,1096,1099],{},[38,1097,1098],{},"OpenManus-RL","：强化学习微调分支",[82,1101,1102,1105],{},[38,1103,1104],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[82,1107,1108,1111],{},[38,1109,1110],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[82,1113,1114,1117],{},[38,1115,1116],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[82,1119,1120,1123],{},[38,1121,1122],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[82,1125,1126,1129],{},[38,1127,1128],{},"Web UI 监控","：实时看 AI thinking process",[82,1131,1132,1135],{},[38,1133,1134],{},"任务可视化","：步骤拆解 + 执行树",[82,1137,1138,1141],{},[38,1139,1140],{},"MIT 协议","：个人 + 商用全免费",[23,1143,342],{"id":342},[79,1145,1146,1152,1155,1158],{},[82,1147,1148,1151],{},[38,1149,1150],{},"Free \u002F OSS","：$0；MIT 协议",[82,1153,1154],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[82,1156,1157],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[82,1159,1160],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[23,1162,1164],{"id":1163},"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）",[35,1166,1167],{},[38,1168,1169],{},"亮点：",[79,1171,1172,1175,1178,1181,1184,1187,1190,1193],{},[82,1173,1174],{},"52k stars 印证社区认同度 + 活跃度",[82,1176,1177],{},"MetaGPT 团队背景保证架构质量",[82,1179,1180],{},"多 agent 协作场景比单 agent 实现稳得多",[82,1182,1183],{},"Playwright 浏览器自动化非常完整",[82,1185,1186],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[82,1188,1189],{},"DataAnalysis 内置 agent 模式开箱即用",[82,1191,1192],{},"中文支持自然（Qwen VL Plus 接入）",[82,1194,1195],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[35,1197,1198],{},[38,1199,1200],{},"踩坑：",[79,1202,1203,1206,1209,1212,1215,1218,1221,1224],{},[82,1204,1205],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[82,1207,1208],{},"文档滞后新功能 1-2 个月",[82,1210,1211],{},"无官方 GUI，监控 UI 在做但不完整",[82,1213,1214],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[82,1216,1217],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[82,1219,1220],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[82,1222,1223],{},"中文 prompt 效果依赖底层模型",[82,1225,1226],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[23,1228,1229],{"id":1229},"上手",[442,1231,1235],{"className":1232,"code":1233,"language":1234,"meta":451,"style":451},"language-bash shiki shiki-themes github-light github-dark","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","bash",[449,1236,1237,1253,1262,1290,1304,1314,1320,1326,1338,1344,1349,1355,1364,1368,1374],{"__ignoreMap":451},[1238,1239,1242,1246,1250],"span",{"class":1240,"line":1241},"line",1,[1238,1243,1245],{"class":1244},"sScJk","git",[1238,1247,1249],{"class":1248},"sZZnC"," clone",[1238,1251,1252],{"class":1248}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[1238,1254,1255,1259],{"class":1240,"line":936},[1238,1256,1258],{"class":1257},"sj4cs","cd",[1238,1260,1261],{"class":1248}," OpenManus\n",[1238,1263,1264,1267,1270,1273,1276,1280,1283,1286],{"class":1240,"line":933},[1238,1265,1266],{"class":1244},"python3.12",[1238,1268,1269],{"class":1257}," -m",[1238,1271,1272],{"class":1248}," venv",[1238,1274,1275],{"class":1248}," .venv",[1238,1277,1279],{"class":1278},"sVt8B"," && ",[1238,1281,1282],{"class":1257},"source",[1238,1284,1285],{"class":1248}," .venv\u002Fbin\u002Factivate",[1238,1287,1289],{"class":1288},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[1238,1291,1292,1295,1298,1301],{"class":1240,"line":955},[1238,1293,1294],{"class":1244},"pip",[1238,1296,1297],{"class":1248}," install",[1238,1299,1300],{"class":1257}," -r",[1238,1302,1303],{"class":1248}," requirements.txt\n",[1238,1305,1306,1309,1311],{"class":1240,"line":1005},[1238,1307,1308],{"class":1244},"playwright",[1238,1310,1297],{"class":1248},[1238,1312,1313],{"class":1248}," chromium\n",[1238,1315,1317],{"class":1240,"line":1316},6,[1238,1318,1319],{"emptyLinePlaceholder":969},"\n",[1238,1321,1323],{"class":1240,"line":1322},7,[1238,1324,1325],{"class":1288},"# 配 LLM API\n",[1238,1327,1329,1332,1335],{"class":1240,"line":1328},8,[1238,1330,1331],{"class":1244},"cp",[1238,1333,1334],{"class":1248}," config\u002Fconfig.example.toml",[1238,1336,1337],{"class":1248}," config\u002Fconfig.toml\n",[1238,1339,1341],{"class":1240,"line":1340},9,[1238,1342,1343],{"class":1288},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[1238,1345,1347],{"class":1240,"line":1346},10,[1238,1348,1319],{"emptyLinePlaceholder":969},[1238,1350,1352],{"class":1240,"line":1351},11,[1238,1353,1354],{"class":1288},"# 单 agent 模式\n",[1238,1356,1358,1361],{"class":1240,"line":1357},12,[1238,1359,1360],{"class":1244},"python",[1238,1362,1363],{"class":1248}," main.py\n",[1238,1365,1366],{"class":1240,"line":9},[1238,1367,1319],{"emptyLinePlaceholder":969},[1238,1369,1371],{"class":1240,"line":1370},14,[1238,1372,1373],{"class":1288},"# 多 agent 模式\n",[1238,1375,1377,1379],{"class":1240,"line":1376},15,[1238,1378,1360],{"class":1244},[1238,1380,1381],{"class":1248}," run_flow.py\n",[35,1383,1384],{},"试任务示例：",[442,1386,1389],{"className":1387,"code":1388,"language":447},[445],"> 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",[449,1390,1388],{"__ignoreMap":451},[23,1392,1393],{"id":1393},"对比",[185,1395,1396,1413],{},[188,1397,1398],{},[191,1399,1400,1402,1404,1407,1410],{},[194,1401,521],{},[194,1403,1044],{},[194,1405,1406],{},"LangChain",[194,1408,1409],{},"AutoGPT",[194,1411,1412],{},"CrewAI",[201,1414,1415,1432,1448,1462,1478,1491,1505,1519,1536,1550],{},[191,1416,1417,1420,1423,1426,1429],{},[206,1418,1419],{},"形态",[206,1421,1422],{},"现成 agent 实现",[206,1424,1425],{},"building blocks",[206,1427,1428],{},"早期通用 agent",[206,1430,1431],{},"多 agent 框架",[191,1433,1434,1437,1440,1443,1446],{},[206,1435,1436],{},"浏览器自动化",[206,1438,1439],{},"✅ Playwright",[206,1441,1442],{},"–",[206,1444,1445],{},"部分",[206,1447,1442],{},[191,1449,1450,1453,1456,1458,1460],{},[206,1451,1452],{},"MCP",[206,1454,1455],{},"✅",[206,1457,1445],{},[206,1459,1442],{},[206,1461,1442],{},[191,1463,1464,1467,1470,1473,1475],{},[206,1465,1466],{},"多 agent",[206,1468,1469],{},"✅ orchestration",[206,1471,1472],{},"需自搭",[206,1474,626],{},[206,1476,1477],{},"✅ 旗舰",[191,1479,1480,1483,1485,1487,1489],{},[206,1481,1482],{},"DataAnalysis 内置",[206,1484,1455],{},[206,1486,1442],{},[206,1488,1442],{},[206,1490,1442],{},[191,1492,1493,1496,1499,1501,1503],{},[206,1494,1495],{},"RL 微调",[206,1497,1498],{},"✅ OpenManus-RL",[206,1500,1442],{},[206,1502,1442],{},[206,1504,1442],{},[191,1506,1507,1510,1513,1515,1517],{},[206,1508,1509],{},"协议",[206,1511,1512],{},"MIT",[206,1514,1512],{},[206,1516,1512],{},[206,1518,1512],{},[191,1520,1521,1524,1527,1530,1533],{},[206,1522,1523],{},"Stars",[206,1525,1526],{},"52k+",[206,1528,1529],{},"100k+",[206,1531,1532],{},"170k+",[206,1534,1535],{},"30k+",[191,1537,1538,1540,1543,1546,1548],{},[206,1539,1229],{},[206,1541,1542],{},"中",[206,1544,1545],{},"难",[206,1547,1542],{},[206,1549,1542],{},[191,1551,1552,1555,1558,1561,1564],{},[206,1553,1554],{},"适合",[206,1556,1557],{},"自托管 Manus 复刻",[206,1559,1560],{},"底层 framework",[206,1562,1563],{},"学习经典",[206,1565,1566],{},"多 agent 协作",[23,1568,1569],{"id":1569},"避坑",[79,1571,1572,1578,1588,1594,1600,1606,1612,1618,1624],{},[82,1573,1574,1577],{},[38,1575,1576],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[82,1579,1580,1583,1584,1587],{},[38,1581,1582],{},"Playwright 依赖大","：首次 ",[449,1585,1586],{},"playwright install"," 下 chromium 慢，国内走镜像",[82,1589,1590,1593],{},[38,1591,1592],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[82,1595,1596,1599],{},[38,1597,1598],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[82,1601,1602,1605],{},[38,1603,1604],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[82,1607,1608,1611],{},[38,1609,1610],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[82,1613,1614,1617],{},[38,1615,1616],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[82,1619,1620,1623],{},[38,1621,1622],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[82,1625,1626,1629],{},[38,1627,1628],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[23,1631,807],{"id":806},[79,1633,1634,1637,1640,1643,1646,1649,1652,1655],{},[82,1635,1636],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[82,1638,1639],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[82,1641,1642],{},"✅ 隐私敏感 + 不愿数据上商业云",[82,1644,1645],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[82,1647,1648],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[82,1650,1651],{},"❌ 要 GUI \u002F 上手即用",[82,1653,1654],{},"❌ 生产级稳定（文档滞后 + 演进快）",[82,1656,1657],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[23,1659,854],{"id":854},[79,1661,1662,1668,1674],{},[82,1663,1664],{},[47,1665,1667],{"href":1666},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[82,1669,1670],{},[47,1671,1673],{"href":1672},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[82,1675,1676],{},[47,1677,1679],{"href":1678},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[23,1681,907],{"id":907},[421,1683,1684,1691,1698,1705],{},[82,1685,1686,1687],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[47,1688,1689],{"href":1689,"rel":1690},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[51],[82,1692,1693,1694],{},"Foundation Agents — OpenManus 项目介绍 ",[47,1695,1696],{"href":1696,"rel":1697},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[51],[82,1699,1700,1701],{},"Toolsverse — OpenManus 评测 + 52k stars ",[47,1702,1703],{"href":1703,"rel":1704},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[51],[82,1706,1707,1708],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[47,1709,1710],{"href":1710,"rel":1711},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[51],[1713,1714,1715],"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 .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":451,"searchDepth":933,"depth":933,"links":1717},[1718,1719,1720,1721,1722,1723,1724,1725,1726,1727],{"id":25,"depth":936,"text":26},{"id":1065,"depth":936,"text":1065},{"id":342,"depth":936,"text":342},{"id":1163,"depth":936,"text":1164},{"id":1229,"depth":936,"text":1229},{"id":1393,"depth":936,"text":1393},{"id":1569,"depth":936,"text":1569},{"id":806,"depth":936,"text":807},{"id":854,"depth":936,"text":854},{"id":907,"depth":936,"text":907},"\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。",[1731,1734,1737,1740],{"q":1732,"a":1733},"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":1735,"a":1736},"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":1738,"a":1739},"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":1741,"a":1742},"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。",[962,961,1744],"multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[981,980,979,1748],"docker",[1750],{"plan":1150,"price":355,"features":1751,"notes":1752},"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",[1756],"onboarding\u002Fopen-source-general-agent",{"power":1005,"ux":933,"price":1005,"cn_support":955,"stability":933},{"title":1044,"description":1729},"agent\u002Fgeneral\u002Fopenmanus",[1761,1763,1765,1767],{"name":1762,"url":1689,"accessed":1039},"OpenManus GitHub（FoundationAgents 组织）",{"name":1764,"url":1696,"accessed":1039},"Foundation Agents — OpenManus 项目介绍",{"name":1766,"url":1703,"accessed":1039},"Toolsverse — OpenManus 评测 + 52k stars",{"name":1768,"url":1710,"accessed":1039},"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",[1772,1036,1773,1774,1775,1776],"opensource","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。","12o_oYQnXHBozXE9Vv-Ii6enzsAMPUKrZZHDoUHQ6xM",1783173059601]