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是 2024 年创立于 Palo Alto 的 AI Super Agent 公司，CEO Eric Jing（前 Microsoft Bing \u002F 小冰），团队来自 Microsoft + Google。2026-04 ARR 突破 $250M（12 个月内）。差异点：『多 Agent 架构』路由不同 agent + 模型组合，而非单 LLM + Super Agent 自治执行覆盖研究 \u002F 内容 \u002F 调用 \u002F 建站 \u002F 视频 \u002F 数据分析 \u002F 真实电话 + Sparkpage 可视化输出。Free 100-200 daily credits \u002F Plus $25 月度 12k credits \u002F Pro $249 月度 125k credits。",[32,36,37],{},"适合：要一站式 Super Agent 完成完整工作流（研究 → 文档 → 演示 → 网站）；重度内容创作者 + 营销 \u002F 销售（Call For Me 跟进）；中级专业用户（Plus $25 \u002F 月划算）。不适合：纯研究问答（Perplexity \u002F ChatGPT 更便宜）；预算极紧（credit 消耗快）；需要透明引用 \u002F 学术严谨（Sparkpage 引用不如 Perplexity 清晰）；要画布多线程（用 Flowith）。",[27,39,40],{"id":40},"核心能力",[42,43,44,52,58,64,70,76,82,88,94,100,106,112],"ul",{},[45,46,47,51],"li",{},[48,49,50],"strong",{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[45,53,54,57],{},[48,55,56],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[45,59,60,63],{},[48,61,62],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[45,65,66,69],{},[48,67,68],{},"AI Slides","：10-15 张幻灯片含图表",[45,71,72,75],{},[48,73,74],{},"AI Sites","：完整 landing page 一键生成",[45,77,78,81],{},[48,79,80],{},"AI Video","：30-60s 短视频生成",[45,83,84,87],{},[48,85,86],{},"AI Pods","：10 分钟 AI podcast 生成",[45,89,90,93],{},[48,91,92],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[45,95,96,99],{},[48,97,98],{},"AI Sheets","：CSV 数据分析 + 自动图表",[45,101,102,105],{},[48,103,104],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[45,107,108,111],{},[48,109,110],{},"iOS \u002F Android App","：移动端可用",[45,113,114,117],{},[48,115,116],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[27,119,120],{"id":120},"价格",[42,122,123,129,135,141],{},[45,124,125,128],{},[48,126,127],{},"Free","：100-200 daily credits（~3-8 简单任务）",[45,130,131,134],{},[48,132,133],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[45,136,137,140],{},[48,138,139],{},"Pro","：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[45,142,143,146],{},[48,144,145],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[148,149,150],"blockquote",{},[32,151,152],{},"Plus 一月做 10-15 个严肃任务（slides \u002F 研究 \u002F sites）；重度做视频 \u002F 通话 \u002F 多 sites 建议 Pro。",[27,154,156],{"id":155},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[32,158,159],{},[48,160,161],{},"亮点：",[42,163,164,167,170,173,176,179,182],{},[45,165,166],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[45,168,169],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[45,171,172],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[45,174,175],{},"Plus 顶级模型不限 chat 性价比超高，比 ChatGPT Plus $20 + Claude Pro $20 + Perplexity Pro $20 全订便宜",[45,177,178],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[45,180,181],{},"Sparkpage 输出可直接分享 + 嵌入",[45,183,184],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[32,186,187],{},[48,188,189],{},"踩坑：",[42,191,192,195,198,201,204,207,210,213],{},[45,193,194],{},"credit 消耗不透明，复杂任务前难估算成本",[45,196,197],{},"用户反馈 customer support + refund 有问题",[45,199,200],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[45,202,203],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[45,205,206],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[45,208,209],{},"地域限制：印度 \u002F 巴西 \u002F 巴基斯坦 \u002F 尼日利亚 \u002F 印尼等部分国家 Plus \u002F Pro 不可用",[45,211,212],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[45,214,215],{},"Pro $249 月价格陡，中端断档",[27,217,218],{"id":218},"上手",[220,221,222,225,228,231,234,237],"ol",{},[45,223,224],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[45,226,227],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[45,229,230],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[45,232,233],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[45,235,236],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[45,238,239],{},"Plus $25 \u002F 月体验完整 → 决定 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\u002F Pods",[273,339,340],{},"部分",[273,342,283],{},[273,344,345],{},"Sora（独立）",[250,347,348,351,354,356,359],{},[273,349,350],{},"引用透明",[273,352,353],{},"中",[273,355,283],{},[273,357,358],{},"✅ 顶级",[273,360,340],{},[250,362,363,366,369,372,375],{},[273,364,365],{},"起价",[273,367,368],{},"$25\u002F月（Plus）",[273,370,371],{},"$19.90\u002F月",[273,373,374],{},"$20\u002F月",[273,376,374],{},[250,378,379,382,385,388,390],{},[273,380,381],{},"最贵",[273,383,384],{},"$249\u002F月",[273,386,387],{},"$499.90\u002F月",[273,389,374],{},[273,391,392],{},"$200\u002F月",[250,394,395,398,401,404,407],{},[273,396,397],{},"适合",[273,399,400],{},"一站式 Super Agent",[273,402,403],{},"画布深度",[273,405,406],{},"搜索引用",[273,408,409],{},"通用",[27,411,412],{"id":412},"避坑",[42,414,415,421,427,433,439,445,451,457,463],{},[45,416,417,420],{},[48,418,419],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[45,422,423,426],{},[48,424,425],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[45,428,429,432],{},[48,430,431],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[45,434,435,438],{},[48,436,437],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[45,440,441,444],{},[48,442,443],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[45,446,447,450],{},[48,448,449],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[45,452,453,456],{},[48,454,455],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[45,458,459,462],{},[48,460,461],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[45,464,465,468],{},[48,466,467],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[27,470,472],{"id":471},"适合-不适合","适合 \u002F 不适合",[42,474,475,478,481,484,487,490,493,496],{},[45,476,477],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[45,479,480],{},"✅ Plus $25 重度多模型不限 chat 用户",[45,482,483],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[45,485,486],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[45,488,489],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[45,491,492],{},"❌ 学术严谨场景",[45,494,495],{},"❌ 预算极紧",[45,497,498],{},"❌ 要画布 + 多线程深度（用 Flowith）",[27,500,501],{"id":501},"相关阅读",[42,503,504,510,515],{},[45,505,506],{},[507,508,509],"a",{"href":15},"Flowith 评测",[45,511,512],{},[507,513,514],{"href":18},"Claude Desktop 评测",[45,516,517],{},[507,518,519],{"href":21},"Alice 评测",[27,521,522],{"id":522},"来源",[220,524,525,533,540,547],{},[45,526,527,528],{},"Genspark Pricing 官方 ",[507,529,530],{"href":530,"rel":531},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[532],"nofollow",[45,534,535,536],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[507,537,538],{"href":538,"rel":539},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[532],[45,541,542,543],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[507,544,545],{"href":545,"rel":546},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[532],[45,548,549,550],{},"Lindy — Genspark Features 2026 Tested ",[507,551,552],{"href":552,"rel":553},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[532],{"title":555,"searchDepth":556,"depth":556,"links":557},"",3,[558,560,561,562,563,564,565,566,567,568],{"id":29,"depth":559,"text":30},2,{"id":40,"depth":559,"text":40},{"id":120,"depth":559,"text":120},{"id":155,"depth":559,"text":156},{"id":218,"depth":559,"text":218},{"id":242,"depth":559,"text":242},{"id":412,"depth":559,"text":412},{"id":471,"depth":559,"text":472},{"id":501,"depth":559,"text":501},{"id":522,"depth":559,"text":522},"general",4,"\u002Fimg\u002Ftools\u002Fgenspark.webp","Genspark 真实评测：2024 年创立于 Palo Alto，CEO Eric Jing（前 Microsoft Bing \u002F 小冰），团队来自 Microsoft + Google。差异点：『多 Agent 架构』而非单 LLM + Super Agent 自治执行（研究 \u002F 内容 \u002F 调用 \u002F 建站 \u002F 视频 \u002F 数据分析）+ Sparkpage 可视化输出 + Call For Me 真实电话调度。2026-04 ARR $250M（12 个月内达成）。Free 100-200 daily credits \u002F Plus $25 月度 12k credits \u002F Pro $249 月度 125k credits。",false,"md",[576,579,582,585],{"q":577,"a":578},"credit 消耗如何？","Simple Sparkpage \u002F 研究 30-80 credits；AI Slides（10-15 张 + 图表）250-450；AI Sites（完整 landing）600-1200；AI Video（30-60s）800-2000；Call For Me（2-4 分钟）400-900；AI Pods（10 分钟 podcast）1000-1800。Plus 12k credits 大约一个月做 10-15 个严肃任务（不重度跑视频 \u002F 通话）。",{"q":580,"a":581},"Call For Me 真的能打电话？","对，调用真实电话 API（背后用 Bland AI \u002F Vapi 类供应商），帮你预订餐厅 \u002F 跟进客户 \u002F 查信息。需要明确隐私 + 合规：欧盟 \u002F 加州的呼叫录音 \u002F 同意法规要遵守，敏感场景慎用。",{"q":583,"a":584},"多 Agent 架构和单 LLM 区别？","Genspark 不依赖单一 LLM，而是按任务类型路由到不同 agent + 模型组合（搜索 agent \u002F 研究 agent \u002F 内容 agent \u002F 调用 agent 等）。优势：每类任务用最适合的工具 + 大型搜索 + 验证流水线；劣势：黑盒程度高 + credit 消耗模型让用量不可预测。",{"q":586,"a":587},"和 Flowith \u002F ChatGPT \u002F Perplexity 怎么选？","Genspark 强在『全栈 Super Agent + 真实调用（电话 \u002F 搜索 \u002F 建站）+ Sparkpage 可视化』。Flowith 强在『画布 + 长任务自治 + Knowledge Garden』。Perplexity 强在『搜索 + 引用透明 + 价格便宜』。ChatGPT 强在『通用 + 生态成熟』。一站式 Super Agent → Genspark；画布多线程 → Flowith；搜索问答 → Perplexity。",[589,590,591],"en","zh","multi",{},true,"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark","agent",[597,598,599],"web","ios","android",[601,605,609],{"plan":127,"price":602,"features":603,"notes":604},"$0","100-200 daily credits + 基础模型 + Sparkpage \u002F 研究","试水",{"plan":133,"price":606,"features":607,"notes":608},"$25\u002F月","12,000 月度 credits + 顶级模型不限聊天（o3-Pro \u002F Claude \u002F Gemini）+ Slides \u002F 研究","年付 $240",{"plan":139,"price":384,"features":610,"notes":611},"125,000 月度 credits + 优先速度 + 早期功能 + AI Sites \u002F Video \u002F Call","年付 $2388","Free (100-200 daily) \u002F Plus $25·月 (12k credits) \u002F Pro $249·月 (125k credits) \u002F 年付有折扣","2026-06-19",[615],{"name":616,"url":617},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":619,"ux":570,"price":556,"cn_support":556,"stability":570},5,{"title":11,"description":572},"agent\u002Fgeneral\u002Fgenspark",[623,626,628,630],{"name":624,"url":530,"accessed":625},"Genspark 官网 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更便宜。","https:\u002F\u002Fgenspark.ai","msB2Gmp0hSoRiCfluF8I7R7lzBx0TE0qU867bIQF6Lo",{"ok":593,"slug":644,"viewCount":645,"clickCount":645,"avgRating":645,"ratingCount":645},"agent%2Fgeneral%2Fgenspark",0,[647,1218,1753,2164,3140,3729],{"id":648,"title":649,"alternatives":650,"api_compatible":22,"body":656,"category":569,"chinese_friendly":556,"cover":1157,"description":1158,"domestic":573,"extension":574,"faq":1159,"free":573,"github":22,"languages":1172,"meta":1173,"models":22,"navigation":593,"notSuitable":22,"opensource":573,"path":21,"pillar":595,"platforms":1174,"priceTable":1178,"pricing":1191,"published":613,"relatedPlaybooks":1192,"relatedReviews":22,"score":1196,"self_host":573,"seo":1197,"slug":1198,"sources":1199,"stem":1207,"suitable":22,"tagline":1208,"tags":1209,"updated":625,"verdict":1215,"website":1216,"__hash__":1217},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[651,652,655],{"name":17,"url":18},{"name":653,"url":654},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":14,"url":15},{"type":24,"value":657,"toc":1145},[658,660,663,666,668,736,738,761,766,770,774,797,801,827,829,852,854,1010,1012,1068,1070,1096,1098,1113,1115],[27,659,30],{"id":29},[32,661,662],{},"Alice（heyalice.app）是 Greg Rog \u002F Techsistence 团队 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手，2026-02 版本 5.0 发布，8000+ 创作者使用。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储零云依赖 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。无月费订阅，3 周免费试用 + 一次买断 ~$59-99。",[32,664,665],{},"适合：macOS \u002F Windows 党 + 想全局快捷键唤起 AI；多模型用户不想被单 vendor 锁定；隐私敏感 + 不愿数据上云；自由职业 \u002F 个人开发者 + 不喜欢月费订阅。不适合：纯网页党（无 web 版）；移动设备主力（无 iOS \u002F Android）；团队协作 + 共享 workspace；不愿管理 API Key 的纯用户。",[27,667,40],{"id":40},[42,669,670,676,682,688,694,700,706,712,718,724,730],{},[45,671,672,675],{},[48,673,674],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[45,677,678,681],{},[48,679,680],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[45,683,684,687],{},[48,685,686],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[45,689,690,693],{},[48,691,692],{},"200+ Skills","：power user 社区贡献的能力包",[45,695,696,699],{},[48,697,698],{},"MCP 集成","：可调用 MCP server 工具",[45,701,702,705],{},[48,703,704],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[45,707,708,711],{},[48,709,710],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[45,713,714,717],{},[48,715,716],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[45,719,720,723],{},[48,721,722],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[45,725,726,729],{},[48,727,728],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[45,731,732,735],{},[48,733,734],{},"3 周免费试用","：体验完整再决策",[27,737,120],{"id":120},[42,739,740,746,752,758],{},[45,741,742,745],{},[48,743,744],{},"Free Trial","：3 周完整功能，无信用卡",[45,747,748,751],{},[48,749,750],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[45,753,754,757],{},[48,755,756],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[45,759,760],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[148,762,763],{},[32,764,765],{},"真实成本预估：重度日用 GPT-5.x \u002F Claude 一个月 $30-80 API 费 + 一次买断 ~$59 = 第一年总投入约 $400-500，长期省于 ChatGPT Pro 月费。",[27,767,769],{"id":768},"实测macos-主力-自由职业-多模型混用","实测（macOS 主力 \u002F 自由职业 \u002F 多模型混用）",[32,771,772],{},[48,773,161],{},[42,775,776,779,782,785,788,791,794],{},[45,777,778],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[45,780,781],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[45,783,784],{},"50+ Assistants 节省 prompt engineering 时间",[45,786,787],{},"数据本地 + 无 telemetry，隐私党非常友好",[45,789,790],{},"一次买断 vs 多家月费的累计性价比高",[45,792,793],{},"BYO API 让账单透明，不会有平台抽成",[45,795,796],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[32,798,799],{},[48,800,189],{},[42,802,803,806,809,812,815,818,821,824],{},[45,804,805],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[45,807,808],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[45,810,811],{},"移动端缺失，出门用不上",[45,813,814],{},"Linux 版本更新偶尔比 macOS 慢",[45,816,817],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[45,819,820],{},"50+ Assistants 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",[507,1142,1143],{"href":1143,"rel":1144},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[532],{"title":555,"searchDepth":556,"depth":556,"links":1146},[1147,1148,1149,1150,1151,1152,1153,1154,1155,1156],{"id":29,"depth":559,"text":30},{"id":40,"depth":559,"text":40},{"id":120,"depth":559,"text":120},{"id":768,"depth":559,"text":769},{"id":218,"depth":559,"text":218},{"id":242,"depth":559,"text":242},{"id":412,"depth":559,"text":412},{"id":471,"depth":559,"text":472},{"id":501,"depth":559,"text":501},{"id":522,"depth":559,"text":522},"\u002Fimg\u002Ftools\u002Falice.webp","Alice 真实评测：Greg Rog \u002F Techsistence 团队出品的 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手（heyalice.app）。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。版本 5.0 已发布，8000+ 创作者使用。3 周免费试用，无月费订阅，付费一次买断。",[1160,1163,1166,1169],{"q":1161,"a":1162},"Alice 和 Raycast AI \u002F Claude Desktop \u002F ChatGPT Desktop 怎么选？","Alice 强在『全局快捷键 + BYO API + 一次买断 + 隐私本地』——多模型用户 \u002F 自由职业 \u002F 隐私敏感党最划算。Raycast AI 是 Raycast 启动器内置 AI，深度集成快捷指令但限 Raycast 生态。Claude Desktop 强 MCP + Anthropic 模型。ChatGPT Desktop 强 OpenAI 全家桶。要 Mac 全局 hotkey + 多模型 + 不订阅 → Alice；要工具栏启动器 + 简单 AI → Raycast AI；要 MCP 生态 → Claude Desktop。",{"q":1164,"a":1165},"为什么要自带 API Key？","Alice 自身不卖 LLM 服务，让你直接用 OpenAI \u002F Anthropic \u002F Google \u002F xAI \u002F Groq 的 API。优点：透明计费 + 同一 key 多工具复用 + 不依赖 Alice 商业稳定。缺点：要自己申请 + 充值多家 API + 重度用户成本估算难。OpenRouter 可以一个 key 接所有模型。",{"q":1167,"a":1168},"Skills 和 Assistants 区别？","Assistant 是预配置 system prompt + 工具 + 模型的『角色』（如 'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius'），打开就是这个角色；Skill 是 Assistant 内部可调用的『能力包』（搜索 \u002F 摘要 \u002F 翻译 \u002F 数据分析等）。50+ Assistants + 200+ Skills 由 power user 社区贡献，免费可装。",{"q":1170,"a":1171},"中国大陆能用吗？","App 本身可下载 + 本地运行。海外信用卡买断 + 海外 LLM API Key 是门槛。OpenRouter 中转可接国产模型（智谱 \u002F DeepSeek \u002F Qwen），跑国内场景。隐私上数据全本地存储，无国外服务器同步。",[589],{},[1175,1176,1177],"macos","windows","linux",[1179,1183,1187],{"plan":744,"price":1180,"features":1181,"notes":1182},"$0 · 3 周","完整功能体验","无信用卡",{"plan":750,"price":1184,"features":1185,"notes":1186},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":756,"price":1188,"features":1189,"notes":1190},"~$99 一次","Personal + 优先支持 + 商用授权 + 更新永久免费","商业 \u002F 团队","$59-99 一次买断 + 3 周免费试用 \u002F 自带 API Key 走 LLM 计费",[1193],{"name":1194,"url":1195},"macOS 全局 AI 工作流","\u002Fplaybook\u002Fonboarding\u002Fmacos-global-ai-workflow",{"power":570,"ux":619,"price":570,"cn_support":556,"stability":570},{"title":649,"description":1158},"agent\u002Fgeneral\u002Falice",[1200,1201,1203,1205],{"name":1119,"url":1122,"accessed":625},{"name":1202,"url":1129,"accessed":625},"Comparateur-IA — Alice AI Review 2026",{"name":1204,"url":1136,"accessed":625},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1206,"url":1143,"accessed":625},"Skywork — Alice AI Ultimate 2026 Guide","tools\u002Fagent\u002Fgeneral\u002Falice","heyalice.app 桌面 AI 助手——OS 级全局快捷键 + 多模型 + 50+ Assistants \u002F 200+ Skills",[1210,1211,1212,1213,1214,1175],"desktop-assistant","multi-model","byo-api","privacy","hotkey","桌面 AI 助手里最像 Raycast 的存在——全局快捷键 + 一次买断 + 自带 API。重度多模型用户 + macOS 党 + 隐私敏感首选。要团队协作 \u002F 云同步走 Claude Desktop \u002F ChatGPT Team。","https:\u002F\u002Fheyalice.app","D4cSWts4Gbjfw2LPLECK9ae_inIY-gb4mF5L0saydBI",{"id":1219,"title":260,"alternatives":1220,"api_compatible":22,"body":1224,"category":569,"chinese_friendly":570,"cover":1695,"description":1696,"domestic":573,"extension":574,"faq":1697,"free":573,"github":22,"languages":1710,"meta":1711,"models":22,"navigation":593,"notSuitable":22,"opensource":573,"path":15,"pillar":595,"platforms":1712,"priceTable":1714,"pricing":1728,"published":613,"relatedPlaybooks":1729,"relatedReviews":22,"score":1733,"self_host":573,"seo":1734,"slug":1735,"sources":1736,"stem":1745,"suitable":22,"tagline":1746,"tags":1747,"updated":625,"verdict":1751,"website":1660,"__hash__":1752},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md",[1221,1222,1223],{"name":639,"url":594},{"name":20,"url":21},{"name":17,"url":18},{"type":24,"value":1225,"toc":1683},[1226,1228,1231,1234,1236,1298,1300,1324,1329,1333,1337,1360,1364,1390,1392,1412,1414,1543,1545,1606,1608,1634,1636,1651,1653],[27,1227,30],{"id":29},[32,1229,1230],{},"Flowith 是新加坡公司 Flowith Technologies Pte. Ltd.（2023 创立）打造的画布式 AI 工作空间。差异点：无限 2D 画布把每次 AI 交互变成可分支可合并的节点 + Agent Neo（10M token 上下文 \u002F 1000+ 自治步骤）+ Knowledge Garden（文档原子化成 Seeds）+ 40+ AI 模型一站接入 + FlowithOS 早期预览。2024-08 Product Hunt 当日 #1，2026 已有 100 万+ 用户，背后有 Stripe \u002F NVIDIA Inception \u002F Google for Startups \u002F Microsoft \u002F AWS。",[32,1232,1233],{},"适合：研究 \u002F 内容生产 \u002F 网站搭建 \u002F 长期项目 + 多线程并行；要 10M token 超长上下文做深度分析；想画布一眼看整个项目结构；多模型对比 + 长任务自治需求。不适合：纯简单问答（杀鸡用牛刀）；预算紧（credit 消耗快）；线性思维偏好用户（画布反而增加心智负担）；不愿学习曲线的纯小白。",[27,1235,40],{"id":40},[42,1237,1238,1244,1250,1256,1262,1268,1274,1280,1286,1292],{},[45,1239,1240,1243],{},[48,1241,1242],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[45,1245,1246,1249],{},[48,1247,1248],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[45,1251,1252,1255],{},[48,1253,1254],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[45,1257,1258,1261],{},[48,1259,1260],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[45,1263,1264,1267],{},[48,1265,1266],{},"多线程并行","：同时跑多个 thread，画布一览",[45,1269,1270,1273],{},[48,1271,1272],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[45,1275,1276,1279],{},[48,1277,1278],{},"iOS App","：2026 上线，移动 workspace 访问",[45,1281,1282,1285],{},[48,1283,1284],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[45,1287,1288,1291],{},[48,1289,1290],{},"商业授权","：Pro+ 包含商业使用权",[45,1293,1294,1297],{},[48,1295,1296],{},"Web Control UI","：浏览器原生，多设备同步",[27,1299,120],{"id":120},[42,1301,1302,1307,1312,1318],{},[45,1303,1304,1306],{},[48,1305,127],{},"：$0；300 一次性 credits（试水级）",[45,1308,1309,1311],{},[48,1310,139],{},"：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[45,1313,1314,1317],{},[48,1315,1316],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[45,1319,1320,1323],{},[48,1321,1322],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[148,1325,1326],{},[32,1327,1328],{},"真实成本：跑 Agent Neo 长任务一次 5k-20k credits，Pro 一月 1-3 个完整 Neo 任务 + 日常多线程对话；重度建议 Ultimate 起。",[27,1330,1332],{"id":1331},"实测深度研究-多线程内容生产","实测（深度研究 \u002F 多线程内容生产）",[32,1334,1335],{},[48,1336,161],{},[42,1338,1339,1342,1345,1348,1351,1354,1357],{},[45,1340,1341],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[45,1343,1344],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[45,1346,1347],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[45,1349,1350],{},"40+ 模型一窗体内切换 + 对比",[45,1352,1353],{},"多设备同步流畅",[45,1355,1356],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[45,1358,1359],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[32,1361,1362],{},[48,1363,189],{},[42,1365,1366,1369,1372,1375,1378,1381,1384,1387],{},[45,1367,1368],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[45,1370,1371],{},"学习曲线明显，画布操作 + 节点连线要花时间",[45,1373,1374],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[45,1376,1377],{},"Free 300 credits 不够体验完整流程",[45,1379,1380],{},"Agent Neo 偶尔『过度自治』产出不可控",[45,1382,1383],{},"移动 iOS 体验不如桌面 Web",[45,1385,1386],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[45,1388,1389],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[27,1391,218],{"id":218},[220,1393,1394,1397,1400,1403,1406,1409],{},[45,1395,1396],{},"flowith.io → Free 注册 → 拿 300 credits",[45,1398,1399],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[45,1401,1402],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[45,1404,1405],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[45,1407,1408],{},"Agent Neo → 给一个完整目标（\"做一份 AI Agent 2026 竞品分析报告 + 网站\"）→ 等 30 分钟看结果",[45,1410,1411],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[27,1413,242],{"id":242},[244,1415,1416,1432],{},[247,1417,1418],{},[250,1419,1420,1422,1424,1426,1429],{},[253,1421,255],{},[253,1423,260],{},[253,1425,11],{},[253,1427,1428],{},"ChatGPT",[253,1430,1431],{},"Claude",[268,1433,1434,1450,1467,1484,1501,1516,1528],{},[250,1435,1436,1439,1442,1445,1448],{},[273,1437,1438],{},"形态",[273,1440,1441],{},"无限画布 + 节点",[273,1443,1444],{},"多 Agent + Sparkpage",[273,1446,1447],{},"线性 chat",[273,1449,1447],{},[250,1451,1452,1455,1458,1461,1464],{},[273,1453,1454],{},"自治 agent",[273,1456,1457],{},"✅ Neo 1000+ 步",[273,1459,1460],{},"✅ Super Agent",[273,1462,1463],{},"✅ Operator",[273,1465,1466],{},"❌（API 走）",[250,1468,1469,1472,1475,1478,1481],{},[273,1470,1471],{},"上下文",[273,1473,1474],{},"10M token",[273,1476,1477],{},"200K",[273,1479,1480],{},"1M（GPT-5）",[273,1482,1483],{},"1M（Claude）",[250,1485,1486,1489,1492,1495,1498],{},[273,1487,1488],{},"模型数",[273,1490,1491],{},"40+",[273,1493,1494],{},"多家",[273,1496,1497],{},"OpenAI",[273,1499,1500],{},"Anthropic",[250,1502,1503,1506,1509,1511,1514],{},[273,1504,1505],{},"Knowledge base",[273,1507,1508],{},"✅ Seeds",[273,1510,283],{},[273,1512,1513],{},"Projects",[273,1515,1513],{},[250,1517,1518,1520,1522,1524,1526],{},[273,1519,365],{},[273,1521,371],{},[273,1523,606],{},[273,1525,374],{},[273,1527,374],{},[250,1529,1530,1532,1535,1538,1540],{},[273,1531,397],{},[273,1533,1534],{},"深度多线程 + 长任务",[273,1536,1537],{},"全能 Super Agent",[273,1539,409],{},[273,1541,1542],{},"Coding \u002F 长文",[27,1544,412],{"id":412},[42,1546,1547,1553,1559,1565,1571,1577,1583,1589,1594,1600],{},[45,1548,1549,1552],{},[48,1550,1551],{},"从 Pro 起","：Free 300 credits 玩不出深度",[45,1554,1555,1558],{},[48,1556,1557],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[45,1560,1561,1564],{},[48,1562,1563],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[45,1566,1567,1570],{},[48,1568,1569],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[45,1572,1573,1576],{},[48,1574,1575],{},"画布命名清晰","：节点 \u002F 分支 \u002F 项目名字要规范，否则一周后看不懂自己画的",[45,1578,1579,1582],{},[48,1580,1581],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[45,1584,1585,1588],{},[48,1586,1587],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[45,1590,1591,1593],{},[48,1592,984],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[45,1595,1596,1599],{},[48,1597,1598],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[45,1601,1602,1605],{},[48,1603,1604],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[27,1607,472],{"id":471},[42,1609,1610,1613,1616,1619,1622,1625,1628,1631],{},[45,1611,1612],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[45,1614,1615],{},"✅ 要 10M token 超长上下文做综合分析",[45,1617,1618],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[45,1620,1621],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[45,1623,1624],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[45,1626,1627],{},"❌ 预算极紧 + 不愿学习曲线",[45,1629,1630],{},"❌ 线性思维 + 单线程偏好",[45,1632,1633],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[27,1635,501],{"id":501},[42,1637,1638,1643,1647],{},[45,1639,1640],{},[507,1641,1642],{"href":594},"Genspark 评测",[45,1644,1645],{},[507,1646,519],{"href":21},[45,1648,1649],{},[507,1650,514],{"href":18},[27,1652,522],{"id":522},[220,1654,1655,1662,1669,1676],{},[45,1656,1657,1658],{},"Flowith 官网 + Pricing ",[507,1659,1660],{"href":1660,"rel":1661},"https:\u002F\u002Fflowith.io",[532],[45,1663,1664,1665],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[507,1666,1667],{"href":1667,"rel":1668},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[532],[45,1670,1671,1672],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[507,1673,1674],{"href":1674,"rel":1675},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[532],[45,1677,1678,1679],{},"OpenTools — Flowith Review May 2026 ",[507,1680,1681],{"href":1681,"rel":1682},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[532],{"title":555,"searchDepth":556,"depth":556,"links":1684},[1685,1686,1687,1688,1689,1690,1691,1692,1693,1694],{"id":29,"depth":559,"text":30},{"id":40,"depth":559,"text":40},{"id":120,"depth":559,"text":120},{"id":1331,"depth":559,"text":1332},{"id":218,"depth":559,"text":218},{"id":242,"depth":559,"text":242},{"id":412,"depth":559,"text":412},{"id":471,"depth":559,"text":472},{"id":501,"depth":559,"text":501},{"id":522,"depth":559,"text":522},"\u002Fimg\u002Ftools\u002Fflowith.webp","Flowith 真实评测：Flowith Technologies Pte. Ltd.（新加坡，2023 创立，Yichen Wu + Derek Nee 联合创办）打造的画布式 AI 工作空间。2024-08 Product Hunt #1。差异点：无限 2D 画布把每次 AI 交互变成可连可分支的节点 + Agent Neo（号称『世界首个无限 agent』10M token 上下文 \u002F 1000+ 步骤）+ Knowledge Garden（文档拆解成 Seeds 知识单元）+ 40+ AI 模型一站接入 + FlowithOS 早期预览 + iOS App。Free \u002F Pro $19.90 \u002F Ultimate $49.90 \u002F Infinite $499.90。",[1698,1701,1704,1707],{"q":1699,"a":1700},"Agent Neo 是什么？","Flowith 的自治 agent，10M token 上下文窗口（约 7500 页）+ 1000+ 推理步骤。给一个目标（研究 \u002F 内容 \u002F 建站 \u002F 竞争分析），它自主规划子任务、网络搜索、文档分析、综合结论、迭代输出。和单回合 ChatGPT 区别在于持续运行直到任务完成，可自动建网站 \u002F 写报告 \u002F 做策略。",{"q":1702,"a":1703},"Knowledge Garden 怎么用？","上传 PDF \u002F 笔记 \u002F 文件后，Flowith 把它们『原子化』成离散的 Seeds（知识单元）。任何 canvas 节点可调用相关 Seeds 做 RAG，无需手动复制粘贴。和 NotebookLM 类似但深度集成画布工作流。",{"q":1705,"a":1706},"credit 怎么算？","Credit-based 模型按 token + 任务类型计费。文本：基础模型 100 \u002F 百万 token，GPT-5 等前沿模型 15,000 \u002F 百万 token。图像 20-190 credits\u002F张，视频 475-6000 credits\u002F条。Free 一次性 300 credits 只够试水；Pro 22k credits 中等用户够；重度跑 Agent Neo 长任务建议 Ultimate 起。建议先 Pro 试一个月看消耗再升级。",{"q":1708,"a":1709},"和 ChatGPT \u002F Claude 怎么选？","ChatGPT \u002F Claude 适合线性快问快答，每次一条 thread。Flowith 适合多分支并行 + 项目级长期上下文 + 自治长任务，画布让整个项目一眼可见。简单问答用 ChatGPT；多线程深度研究 \u002F 内容生产 + 自治 agent → Flowith。两者互补。",[589,590,591],{},[597,598,1713],"macos-flowithos",[1715,1718,1721,1725],{"plan":1716,"price":602,"features":1717,"notes":604},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度",{"plan":139,"price":371,"features":1719,"notes":1720},"22,000 月度 credits + 40+ 模型 + 50 并发 + 5 设备 + 图像\u002F视频批量 + FlowithOS 早期","年付 $15.32\u002F月",{"plan":1316,"price":1722,"features":1723,"notes":1724},"$49.90\u002F月","85,000 月度 credits + 100 并发 + 高速处理 + 优先队列","年付 $39.92\u002F月",{"plan":1322,"price":387,"features":1726,"notes":1727},"1,000,000 月度 credits + 不限并发 + 最高速 + 优先支持 + 创始人直通 + 1-on-1 onboard","年付 $459.90\u002F月","Free (300 一次性 credits) \u002F Pro $19.90·月 \u002F Ultimate $49.90·月 \u002F Infinite $499.90·月（年付 8 折）",[1730],{"name":1731,"url":1732},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":619,"ux":570,"price":556,"cn_support":570,"stability":570},{"title":260,"description":1696},"agent\u002Fgeneral\u002Fflowith",[1737,1739,1741,1743],{"name":1738,"url":1660,"accessed":625},"Flowith 官网",{"name":1740,"url":1667,"accessed":625},"Toolworthy — Flowith Review 2026",{"name":1742,"url":1674,"accessed":625},"BlockSentient — Flowith 2026 详细评测",{"name":1744,"url":1681,"accessed":625},"OpenTools — Flowith Review May 2026","tools\u002Fagent\u002Fgeneral\u002Fflowith","无限画布 AI 工作空间——Agent Neo 10M token 上下文 + 1000+ 步自治 + 40+ 模型 + Knowledge Garden",[1748,1211,1749,1750,14],"canvas","agentic","knowledge-base","线性 chat 装不下的复杂深度工作专用——研究 \u002F 报告 \u002F 网站搭建 \u002F 长期项目首选画布。简单问答 \u002F 短任务用 ChatGPT \u002F Claude 即可，Flowith 学习曲线 + credit 消耗都偏高。","1G-cIIvtfc6wJrzZ2tqkoue9acTv8_N8J8o9iggM9Z0",{"id":10,"title":11,"alternatives":1754,"api_compatible":22,"body":1758,"category":569,"chinese_friendly":570,"cover":571,"description":572,"domestic":573,"extension":574,"faq":2142,"free":573,"github":22,"languages":2147,"meta":2148,"models":22,"navigation":593,"notSuitable":22,"opensource":573,"path":594,"pillar":595,"platforms":2149,"priceTable":2150,"pricing":612,"published":613,"relatedPlaybooks":2154,"relatedReviews":22,"score":2156,"self_host":573,"seo":2157,"slug":621,"sources":2158,"stem":632,"suitable":22,"tagline":633,"tags":2163,"updated":625,"verdict":640,"website":641,"__hash__":642},[1755,1756,1757],{"name":14,"url":15},{"name":17,"url":18},{"name":20,"url":21},{"type":24,"value":1759,"toc":2130},[1760,1762,1764,1766,1768,1818,1820,1838,1842,1844,1848,1864,1868,1886,1888,1902,1904,2030,2032,2070,2072,2090,2092,2106,2108],[27,1761,30],{"id":29},[32,1763,34],{},[32,1765,37],{},[27,1767,40],{"id":40},[42,1769,1770,1774,1778,1782,1786,1790,1794,1798,1802,1806,1810,1814],{},[45,1771,1772,51],{},[48,1773,50],{},[45,1775,1776,57],{},[48,1777,56],{},[45,1779,1780,63],{},[48,1781,62],{},[45,1783,1784,69],{},[48,1785,68],{},[45,1787,1788,75],{},[48,1789,74],{},[45,1791,1792,81],{},[48,1793,80],{},[45,1795,1796,87],{},[48,1797,86],{},[45,1799,1800,93],{},[48,1801,92],{},[45,1803,1804,99],{},[48,1805,98],{},[45,1807,1808,105],{},[48,1809,104],{},[45,1811,1812,111],{},[48,1813,110],{},[45,1815,1816,117],{},[48,1817,116],{},[27,1819,120],{"id":120},[42,1821,1822,1826,1830,1834],{},[45,1823,1824,128],{},[48,1825,127],{},[45,1827,1828,134],{},[48,1829,133],{},[45,1831,1832,140],{},[48,1833,139],{},[45,1835,1836,146],{},[48,1837,145],{},[148,1839,1840],{},[32,1841,152],{},[27,1843,156],{"id":155},[32,1845,1846],{},[48,1847,161],{},[42,1849,1850,1852,1854,1856,1858,1860,1862],{},[45,1851,166],{},[45,1853,169],{},[45,1855,172],{},[45,1857,175],{},[45,1859,178],{},[45,1861,181],{},[45,1863,184],{},[32,1865,1866],{},[48,1867,189],{},[42,1869,1870,1872,1874,1876,1878,1880,1882,1884],{},[45,1871,194],{},[45,1873,197],{},[45,1875,200],{},[45,1877,203],{},[45,1879,206],{},[45,1881,209],{},[45,1883,212],{},[45,1885,215],{},[27,1887,218],{"id":218},[220,1889,1890,1892,1894,1896,1898,1900],{},[45,1891,224],{},[45,1893,227],{},[45,1895,230],{},[45,1897,233],{},[45,1899,236],{},[45,1901,239],{},[27,1903,242],{"id":242},[244,1905,1906,1920],{},[247,1907,1908],{},[250,1909,1910,1912,1914,1916,1918],{},[253,1911,255],{},[253,1913,11],{},[253,1915,260],{},[253,1917,263],{},[253,1919,266],{},[268,1921,1922,1934,1946,1958,1970,1982,1994,2006,2018],{},[250,1923,1924,1926,1928,1930,1932],{},[273,1925,50],{},[273,1927,277],{},[273,1929,280],{},[273,1931,283],{},[273,1933,286],{},[250,1935,1936,1938,1940,1942,1944],{},[273,1937,291],{},[273,1939,294],{},[273,1941,297],{},[273,1943,283],{},[273,1945,283],{},[250,1947,1948,1950,1952,1954,1956],{},[273,1949,306],{},[273,1951,309],{},[273,1953,283],{},[273,1955,283],{},[273,1957,283],{},[250,1959,1960,1962,1964,1966,1968],{},[273,1961,320],{},[273,1963,323],{},[273,1965,283],{},[273,1967,283],{},[273,1969,283],{},[250,1971,1972,1974,1976,1978,1980],{},[273,1973,334],{},[273,1975,337],{},[273,1977,340],{},[273,1979,283],{},[273,1981,345],{},[250,1983,1984,1986,1988,1990,1992],{},[273,1985,350],{},[273,1987,353],{},[273,1989,283],{},[273,1991,358],{},[273,1993,340],{},[250,1995,1996,1998,2000,2002,2004],{},[273,1997,365],{},[273,1999,368],{},[273,2001,371],{},[273,2003,374],{},[273,2005,374],{},[250,2007,2008,2010,2012,2014,2016],{},[273,2009,381],{},[273,2011,384],{},[273,2013,387],{},[273,2015,374],{},[273,2017,392],{},[250,2019,2020,2022,2024,2026,2028],{},[273,2021,397],{},[273,2023,400],{},[273,2025,403],{},[273,2027,406],{},[273,2029,409],{},[27,2031,412],{"id":412},[42,2033,2034,2038,2042,2046,2050,2054,2058,2062,2066],{},[45,2035,2036,420],{},[48,2037,419],{},[45,2039,2040,426],{},[48,2041,425],{},[45,2043,2044,432],{},[48,2045,431],{},[45,2047,2048,438],{},[48,2049,437],{},[45,2051,2052,444],{},[48,2053,443],{},[45,2055,2056,450],{},[48,2057,449],{},[45,2059,2060,456],{},[48,2061,455],{},[45,2063,2064,462],{},[48,2065,461],{},[45,2067,2068,468],{},[48,2069,467],{},[27,2071,472],{"id":471},[42,2073,2074,2076,2078,2080,2082,2084,2086,2088],{},[45,2075,477],{},[45,2077,480],{},[45,2079,483],{},[45,2081,486],{},[45,2083,489],{},[45,2085,492],{},[45,2087,495],{},[45,2089,498],{},[27,2091,501],{"id":501},[42,2093,2094,2098,2102],{},[45,2095,2096],{},[507,2097,509],{"href":15},[45,2099,2100],{},[507,2101,514],{"href":18},[45,2103,2104],{},[507,2105,519],{"href":21},[27,2107,522],{"id":522},[220,2109,2110,2115,2120,2125],{},[45,2111,527,2112],{},[507,2113,530],{"href":530,"rel":2114},[532],[45,2116,535,2117],{},[507,2118,538],{"href":538,"rel":2119},[532],[45,2121,542,2122],{},[507,2123,545],{"href":545,"rel":2124},[532],[45,2126,549,2127],{},[507,2128,552],{"href":552,"rel":2129},[532],{"title":555,"searchDepth":556,"depth":556,"links":2131},[2132,2133,2134,2135,2136,2137,2138,2139,2140,2141],{"id":29,"depth":559,"text":30},{"id":40,"depth":559,"text":40},{"id":120,"depth":559,"text":120},{"id":155,"depth":559,"text":156},{"id":218,"depth":559,"text":218},{"id":242,"depth":559,"text":242},{"id":412,"depth":559,"text":412},{"id":471,"depth":559,"text":472},{"id":501,"depth":559,"text":501},{"id":522,"depth":559,"text":522},[2143,2144,2145,2146],{"q":577,"a":578},{"q":580,"a":581},{"q":583,"a":584},{"q":586,"a":587},[589,590,591],{},[597,598,599],[2151,2152,2153],{"plan":127,"price":602,"features":603,"notes":604},{"plan":133,"price":606,"features":607,"notes":608},{"plan":139,"price":384,"features":610,"notes":611},[2155],{"name":616,"url":617},{"power":619,"ux":570,"price":556,"cn_support":556,"stability":570},{"title":11,"description":572},[2159,2160,2161,2162],{"name":624,"url":530,"accessed":625},{"name":627,"url":538,"accessed":625},{"name":629,"url":545,"accessed":625},{"name":631,"url":552,"accessed":625},[635,636,637,638,639],{"id":2165,"title":2166,"alternatives":2167,"api_compatible":2171,"body":2172,"category":569,"chinese_friendly":570,"cover":3072,"description":3073,"domestic":573,"extension":574,"faq":22,"free":573,"github":22,"languages":3074,"meta":3075,"models":3076,"navigation":593,"notSuitable":3081,"opensource":573,"path":3086,"pillar":595,"platforms":3087,"priceTable":3088,"pricing":3103,"published":3104,"relatedPlaybooks":22,"relatedReviews":22,"score":3105,"self_host":573,"seo":3106,"slug":3107,"sources":3108,"stem":3124,"suitable":3125,"tagline":3131,"tags":3132,"updated":625,"verdict":3138,"website":2557,"__hash__":3139},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[621,2168,2169,2170],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":24,"value":2173,"toc":3052},[2174,2176,2214,2219,2222,2286,2289,2294,2302,2307,2314,2318,2326,2392,2397,2401,2408,2412,2420,2425,2442,2445,2448,2451,2458,2461,2467,2522,2528,2535,2540,2546,2550,2595,2598,2637,2640,2812,2817,2834,2839,2859,2862,2928,2930,2933,2950,2953,2974,2976,3026,3028,3045],[27,2175,30],{"id":29},[2177,2178,2183,2199],"div",{"className":2179},[2180,2181,2182],"card","p-5","my-4",[32,2184,2185,2188,2189,2192,2193,2198],{},[48,2186,2187],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[48,2190,2191],{},"邀请码一度被炒到 ¥5 万-10 万","（",[507,2194,2197],{"href":2195,"rel":2196},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[532],"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。",[32,2200,2201,2202,2192,2205,2209,2210,2213],{},"2025-12 传被 ",[48,2203,2204],{},"Meta 以约 20-30 亿美元收购",[507,2206,2208],{"href":2195,"rel":2207},[532],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[48,2211,2212],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[148,2215,2216],{},[32,2217,2218],{},"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。",[27,2220,2221],{"id":2221},"背景与公司",[42,2223,2224,2235,2241,2247,2253,2264,2274,2280],{},[45,2225,2226,2229,2230,2234],{},[48,2227,2228],{},"公司","：Butterfly Effect Pte. Ltd.（",[507,2231,2233],{"href":2195,"rel":2232},[532],"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）",[45,2236,2237,2240],{},[48,2238,2239],{},"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）",[45,2242,2243,2246],{},[48,2244,2245],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[45,2248,2249,2252],{},[48,2250,2251],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[45,2254,2255,2258,2259,2263],{},[48,2256,2257],{},"Manus 启动","：2024-10 立项，灵感来自 ",[507,2260,2262],{"href":2261},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[45,2265,2266,2269,2270],{},[48,2267,2268],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[507,2271,2273],{"href":2195,"rel":2272},[532],"Demo 视频 20 小时百万播放",[45,2275,2276,2279],{},[48,2277,2278],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[45,2281,2282,2285],{},[48,2283,2284],{},"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",[27,2287,2288],{"id":2288},"核心特性",[2290,2291,2293],"h3",{"id":2292},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[32,2295,2296,2301],{},[507,2297,2300],{"href":2298,"rel":2299},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[532],"Pick Right 2026-04 评测"," 描述的架构：",[148,2303,2304],{},[32,2305,2306],{},"\"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.\"",[32,2308,2309,2310,2313],{},"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 ",[48,2311,2312],{},"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。",[2290,2315,2317],{"id":2316},"通用-agent-模式","通用 Agent 模式",[32,2319,2320,2325],{},[507,2321,2324],{"href":2322,"rel":2323},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[532],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[244,2327,2328,2338],{},[247,2329,2330],{},[250,2331,2332,2335],{},[253,2333,2334],{},"模型",[253,2336,2337],{},"GAIA 准确率",[268,2339,2340,2352,2360,2368,2376,2384],{},[250,2341,2342,2347],{},[273,2343,2344],{},[48,2345,2346],{},"Manus AI",[273,2348,2349],{},[48,2350,2351],{},">65%（SOTA）",[250,2353,2354,2357],{},[273,2355,2356],{},"H2O.ai (h2oGPTe)",[273,2358,2359],{},"65%",[250,2361,2362,2365],{},[273,2363,2364],{},"Google Langfun",[273,2366,2367],{},"49%",[250,2369,2370,2373],{},[273,2371,2372],{},"Microsoft o1",[273,2374,2375],{},"38%",[250,2377,2378,2381],{},[273,2379,2380],{},"OpenAI GPT-4o",[273,2382,2383],{},"32%",[250,2385,2386,2389],{},[273,2387,2388],{},"OpenAI GPT-4 + Plugins",[273,2390,2391],{},"15-30%",[148,2393,2394],{},[32,2395,2396],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[2290,2398,2400],{"id":2399},"后台执行-长任务","后台执行 + 长任务",[32,2402,2403,2404,2407],{},"最特别的体验：任务下达后",[48,2405,2406],{},"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。",[2290,2409,2411],{"id":2410},"web-app-builder","Web App Builder",[32,2413,2414,2415,2419],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[507,2416,2418],{"href":2298,"rel":2417},[532],"Pick Right 评测"," 直白警告：",[148,2421,2422],{},[32,2423,2424],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[32,2426,2427,2428,2432,2433,2432,2437,2441],{},"复杂场景下出 bug 多，目前不建议生产部署，",[507,2429,2431],{"href":2430},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[507,2434,2436],{"href":2435},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[507,2438,2440],{"href":2439},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[2290,2443,2444],{"id":2444},"桌面应用",[32,2446,2447],{},"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。",[2290,2449,2450],{"id":2450},"多模型路由",[32,2452,2453,2454,2457],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[48,2455,2456],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[27,2459,2460],{"id":2460},"价格与运行成本",[32,2462,2463,2466],{},[507,2464,2418],{"href":2298,"rel":2465},[532]," 公开档位：",[244,2468,2469,2481],{},[247,2470,2471],{},[250,2472,2473,2476,2478],{},[253,2474,2475],{},"档位",[253,2477,120],{},[253,2479,2480],{},"关键点",[268,2482,2483,2492,2501,2511],{},[250,2484,2485,2487,2489],{},[273,2486,127],{},[273,2488,602],{},[273,2490,2491],{},"每日有限 credits，够 1 个高强度任务\u002F天",[250,2493,2494,2496,2498],{},[273,2495,139],{},[273,2497,374],{},[273,2499,2500],{},"大多数付费用户落点；中等 credit + 多模型",[250,2502,2503,2505,2508],{},[273,2504,133],{},[273,2506,2507],{},"$50\u002F月",[273,2509,2510],{},"更高 credit + 优先队列，10+ 任务\u002F周",[250,2512,2513,2516,2519],{},[273,2514,2515],{},"Pro+ \u002F Team",[273,2517,2518],{},"最高 $200\u002F月",[273,2520,2521],{},"最大 credit + 团队空间（功能仍有限）",[32,2523,2524,2527],{},[48,2525,2526],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[32,2529,2530,2534],{},[507,2531,2533],{"href":2298,"rel":2532},[532],"Pick Right 真实使用反馈","：",[148,2536,2537],{},[32,2538,2539],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[32,2541,2542,2545],{},[48,2543,2544],{},"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。",[27,2547,2549],{"id":2548},"上手-5-分钟","上手 5 分钟",[220,2551,2552,2560,2563,2580,2583,2589,2592],{},[45,2553,2554,2555],{},"打开 ",[507,2556,2559],{"href":2557,"rel":2558},"https:\u002F\u002Fmanus.im",[532],"manus.im",[45,2561,2562],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[45,2564,2565,2566,2569,2570],{},"给一个完整任务描述（",[48,2567,2568],{},"关键","：不要碎片化指令，给全场景）\n",[2571,2572,2577],"pre",{"className":2573,"code":2575,"language":2576},[2574],"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",[2578,2579,2575],"code",{"__ignoreMap":555},[45,2581,2582],{},"选模型路由（Auto 推荐）",[45,2584,2585,2586,2588],{},"提交后",[48,2587,2406],{},"——任务在云端跑",[45,2590,2591],{},"完成后邮件 \u002F 站内通知",[45,2593,2594],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[27,2596,2597],{"id":2597},"国内使用注意事项",[220,2599,2600,2610,2616,2622],{},[45,2601,2602,2534,2605,2609],{},[48,2603,2604],{},"大陆访问被屏蔽",[507,2606,2608],{"href":2195,"rel":2607},[532],"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",[45,2611,2612,2615],{},[48,2613,2614],{},"访问需稳定代理","：日韩 \u002F 美国节点",[45,2617,2618,2621],{},[48,2619,2620],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[45,2623,2624,2627,2628,2631,2632,2636],{},[48,2625,2626],{},"替代路径","：国内可考虑 ",[507,2629,11],{"href":2630},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[507,2633,2635],{"href":2634},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[27,2638,2639],{"id":2639},"与同类怎么选",[244,2641,2642,2666],{},[247,2643,2644],{},[250,2645,2646,2648,2650,2656,2660,2663],{},[253,2647,255],{},[253,2649,2166],{},[253,2651,2652],{},[507,2653,2655],{"href":2654},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[253,2657,2658],{},[507,2659,11],{"href":2630},[253,2661,2662],{},"ChatGPT Deep Research",[253,2664,2665],{},"GenAgent",[268,2667,2668,2687,2707,2726,2741,2757,2774,2792],{},[250,2669,2670,2673,2676,2679,2682,2685],{},[273,2671,2672],{},"核心定位",[273,2674,2675],{},"通用 Agent",[273,2677,2678],{},"AI 程序员",[273,2680,2681],{},"AI 搜索 + Agent",[273,2683,2684],{},"LLM Deep Research",[273,2686,409],{},[250,2688,2689,2692,2695,2698,2701,2704],{},[273,2690,2691],{},"架构",[273,2693,2694],{},"多 sub-agent 并行",[273,2696,2697],{},"单 Agent + 沙盒",[273,2699,2700],{},"多模型",[273,2702,2703],{},"单模型",[273,2705,2706],{},"—",[250,2708,2709,2712,2715,2718,2721,2724],{},[273,2710,2711],{},"长任务",[273,2713,2714],{},"★★★★★ 小时级",[273,2716,2717],{},"★★★★★",[273,2719,2720],{},"★★★☆☆",[273,2722,2723],{},"★★★★☆",[273,2725,2720],{},[250,2727,2728,2731,2733,2735,2737,2739],{},[273,2729,2730],{},"引用密度",[273,2732,2717],{},[273,2734,2720],{},[273,2736,2723],{},[273,2738,2720],{},[273,2740,2720],{},[250,2742,2743,2746,2749,2751,2753,2755],{},[273,2744,2745],{},"App Builder",[273,2747,2748],{},"⚠️ 有但 buggy",[273,2750,987],{},[273,2752,987],{},[273,2754,987],{},[273,2756,987],{},[250,2758,2759,2762,2765,2768,2770,2772],{},[273,2760,2761],{},"中文",[273,2763,2764],{},"⚠️ 大陆屏蔽",[273,2766,2767],{},"⚠️",[273,2769,2717],{},[273,2771,2767],{},[273,2773,2723],{},[250,2775,2776,2778,2781,2784,2787,2790],{},[273,2777,120],{},[273,2779,2780],{},"$20-$200",[273,2782,2783],{},"$500\u002F月",[273,2785,2786],{},"$24.99\u002F月",[273,2788,2789],{},"随 ChatGPT Plus",[273,2791,2706],{},[250,2793,2794,2797,2800,2803,2806,2809],{},[273,2795,2796],{},"适合场景",[273,2798,2799],{},"research \u002F 数据分析",[273,2801,2802],{},"写代码 \u002F 修 bug",[273,2804,2805],{},"信息检索",[273,2807,2808],{},"单次深度研究",[273,2810,2811],{},"综合",[32,2813,2814,2534],{},[48,2815,2816],{},"选 Manus 如果你",[42,2818,2819,2825,2828,2831],{},[45,2820,2821,2822],{},"重视 research \u002F 数据分析任务的 ",[48,2823,2824],{},"引用密度和结构化输出",[45,2826,2827],{},"想试\"开任务下班、明早看结果\"的工作流",[45,2829,2830],{},"海外 \u002F 能解决账号网络问题",[45,2832,2833],{},"预算 $20-$50\u002F月，重度用户",[32,2835,2836,2534],{},[48,2837,2838],{},"别选 Manus 如果你",[42,2840,2841,2850,2853,2856],{},[45,2842,2843,2844,2432,2846,2849],{},"国内裸用（",[507,2845,11],{"href":2630},[507,2847,2848],{"href":2634},"Yuanbao"," 更顺）",[45,2851,2852],{},"想生产部署 App（Web App Builder bug 多）",[45,2854,2855],{},"团队协作场景（功能不完善）",[45,2857,2858],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[27,2860,2861],{"id":2861},"避坑清单",[42,2863,2864,2870,2880,2886,2892,2904,2910,2916],{},[45,2865,2866,2869],{},[48,2867,2868],{},"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",[45,2871,2872,2534,2875,2879],{},[48,2873,2874],{},"credit 烧得比官方页面暗示的快",[507,2876,2878],{"href":2298,"rel":2877},[532],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[45,2881,2882,2885],{},[48,2883,2884],{},"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",[45,2887,2888,2891],{},[48,2889,2890],{},"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",[45,2893,2894,2897,2898,2903],{},[48,2895,2896],{},"每次任务从零开始","：没有持久 workspace，不像 ",[507,2899,2902],{"href":2900,"rel":2901},"https:\u002F\u002Fclaude.com",[532],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[45,2905,2906,2909],{},[48,2907,2908],{},"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",[45,2911,2912,2915],{},[48,2913,2914],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[45,2917,2918,2921,2922,2927],{},[48,2919,2920],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[507,2923,2926],{"href":2924,"rel":2925},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[532],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[27,2929,472],{"id":471},[32,2931,2932],{},"✅ 适合：",[42,2934,2935,2938,2941,2944,2947],{},[45,2936,2937],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[45,2939,2940],{},"CSV \u002F Excel 重的数据分析任务",[45,2942,2943],{},"长任务 + 不想盯着看（小时级）",[45,2945,2946],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[45,2948,2949],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[32,2951,2952],{},"❌ 不适合：",[42,2954,2955,2958,2961,2964,2967],{},[45,2956,2957],{},"生产级应用部署",[45,2959,2960],{},"团队协作工作流",[45,2962,2963],{},"预算极敏感（free 档非常受限）",[45,2965,2966],{},"大陆稳定访问需求",[45,2968,2969,2970,2973],{},"需要深度持久上下文（用 ",[507,2971,2902],{"href":2900,"rel":2972},[532]," \u002F ChatGPT Custom GPT 等）",[27,2975,501],{"id":501},[42,2977,2978,2989,3000,3015],{},[45,2979,2980,2981,2432,2983,2985,2986,2988],{},"同类对比：",[507,2982,2655],{"href":2654},[507,2984,11],{"href":2630}," \u002F Elicit \u002F ",[507,2987,2848],{"href":2634}," \u002F Metaso",[45,2990,2991,2992,2432,2996,2999],{},"概念：",[507,2993,2995],{"href":2994},"\u002Fwiki\u002Fai-agent.html","AI Agent",[507,2997,2998],{"href":2994},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[45,3001,3002,3003,2432,3007,2432,3011],{},"模型：",[507,3004,3006],{"href":3005},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[507,3008,3010],{"href":3009},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[507,3012,3014],{"href":3013},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[45,3016,3017,3018,2432,3022],{},"进阶：",[507,3019,3021],{"href":3020},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[507,3023,3025],{"href":3024},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[27,3027,522],{"id":522},[42,3029,3030,3036,3039,3042],{},[45,3031,3032,3033],{},"官网：",[507,3034,2557],{"href":2557,"rel":3035},[532],[45,3037,3038],{},"Wikipedia：\"Manus (AI agent)\" 条目",[45,3040,3041],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[45,3043,3044],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[32,3046,3047,3048,3051],{},"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 ",[507,3049,3050],{"href":3050},"\u002Fsubmit"," 反馈。",{"title":555,"searchDepth":556,"depth":556,"links":3053},[3054,3055,3056,3064,3065,3066,3067,3068,3069,3070,3071],{"id":29,"depth":559,"text":30},{"id":2221,"depth":559,"text":2221},{"id":2288,"depth":559,"text":2288,"children":3057},[3058,3059,3060,3061,3062,3063],{"id":2292,"depth":556,"text":2293},{"id":2316,"depth":556,"text":2317},{"id":2399,"depth":556,"text":2400},{"id":2410,"depth":556,"text":2411},{"id":2444,"depth":556,"text":2444},{"id":2450,"depth":556,"text":2450},{"id":2460,"depth":559,"text":2460},{"id":2548,"depth":559,"text":2549},{"id":2597,"depth":559,"text":2597},{"id":2639,"depth":559,"text":2639},{"id":2861,"depth":559,"text":2861},{"id":471,"depth":559,"text":472},{"id":501,"depth":559,"text":501},{"id":522,"depth":559,"text":522},"\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。",[590,589],{},[3077,3078,3079,3080],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[3082,3083,3084,3085],"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",[597,1176,1175,1177],[3089,3092,3096,3099],{"plan":127,"price":602,"limit":3090,"cn_pay":2706,"note":3091},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":139,"price":374,"limit":3093,"cn_pay":3094,"note":3095},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":133,"price":2507,"limit":3097,"cn_pay":2767,"note":3098},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":3100,"price":392,"limit":3101,"cn_pay":2767,"note":3102},"Pro+\u002FTeam","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",{"power":619,"ux":619,"price":556,"cn_support":570,"stability":556},{"title":2166,"description":3073},"agent\u002Fgeneral\u002Fmanus",[3109,3111,3114,3116,3118,3121],{"title":3110,"url":2557},"Manus 官网",{"title":3112,"url":3113},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":3115,"url":2298},"Manus AI Review 2026 (Pick Right)",{"title":3117,"url":2322},"Info-Tech Manus Assessment",{"title":3119,"url":3120},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":3122,"url":3123},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[3126,3127,3128,3129,3130],"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",[3133,3134,3135,636,3136,3137],"general-agent","autonomous","computer-use","butterfly-effect","monica","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。","O4Blta1lc6gHSQ-IjoJnM1VUjXgL-Ctf1CslTb_4O08",{"id":3141,"title":3142,"alternatives":3143,"api_compatible":22,"body":3153,"category":569,"chinese_friendly":556,"cover":3670,"description":3671,"domestic":573,"extension":574,"faq":3672,"free":573,"github":22,"languages":3684,"meta":3685,"models":22,"navigation":593,"notSuitable":22,"opensource":573,"path":3686,"pillar":595,"platforms":3687,"priceTable":3688,"pricing":3704,"published":613,"relatedPlaybooks":3705,"relatedReviews":22,"score":3709,"self_host":593,"seo":3710,"slug":3711,"sources":3712,"stem":3721,"suitable":22,"tagline":3722,"tags":3723,"updated":625,"verdict":3726,"website":3727,"__hash__":3728},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[3144,3147,3150],{"name":3145,"url":3146},"ollama","\u002Ftools\u002Fcoding\u002Flocal\u002Follama",{"name":3148,"url":3149},"lm-studio","\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio",{"name":3151,"url":3152},"open-webui","\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",{"type":24,"value":3154,"toc":3658},[3155,3157,3160,3163,3165,3239,3241,3266,3271,3275,3279,3305,3309,3335,3337,3360,3362,3522,3524,3579,3581,3607,3609,3626,3628],[27,3156,30],{"id":29},[32,3158,3159],{},"Msty 是 privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器，独立开发者出品。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎，无需 CLI + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体并存 + Split Chats 同问题多模型并行 + Knowledge Stack（per-conversation RAG）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地无限 \u002F Aurum $149·年 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[32,3161,3162],{},"适合：隐私敏感 + 不愿数据上云；Mac mini \u002F Linux box 当私人 AI 服务器；想避开 Ollama CLI 的非工程师；多模型对比决策场景。不适合：硬件不行（7B+ 本地跑不动）；要 BYO API + 极简（用 Typing Mind）；要 mobile（无 iOS \u002F Android 移动 app）；团队协作（更适合 Claude Team）。",[27,3164,40],{"id":40},[42,3166,3167,3173,3179,3185,3191,3197,3203,3209,3215,3221,3227,3233],{},[45,3168,3169,3172],{},[48,3170,3171],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[45,3174,3175,3178],{},[48,3176,3177],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[45,3180,3181,3184],{},[48,3182,3183],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[45,3186,3187,3190],{},[48,3188,3189],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[45,3192,3193,3196],{},[48,3194,3195],{},"Prompt Studio","：变量 + 模板 + 测试",[45,3198,3199,3202],{},[48,3200,3201],{},"Persona Studio","：自定义角色 + 工具 + context",[45,3204,3205,3208],{},[48,3206,3207],{},"Skills Studio","：可复用能力包",[45,3210,3211,3214],{},[48,3212,3213],{},"Agent Mode","：多步执行 + 工具调用",[45,3216,3217,3220],{},[48,3218,3219],{},"Flowchart 对话","：分支可视化",[45,3222,3223,3226],{},[48,3224,3225],{},"Real-time 数据","：实时 web fetch",[45,3228,3229,3232],{},[48,3230,3231],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[45,3234,3235,3238],{},[48,3236,3237],{},"Cloud Sync","（Aurum）：跨设备同步对话",[27,3240,120],{"id":120},[42,3242,3243,3248,3254,3260],{},[45,3244,3245,3247],{},[48,3246,127],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[45,3249,3250,3253],{},[48,3251,3252],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[45,3255,3256,3259],{},[48,3257,3258],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[45,3261,3262,3265],{},[48,3263,3264],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[148,3267,3268],{},[32,3269,3270],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[27,3272,3274],{"id":3273},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[32,3276,3277],{},[48,3278,161],{},[42,3280,3281,3284,3287,3290,3293,3296,3299,3302],{},[45,3282,3283],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[45,3285,3286],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[45,3288,3289],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[45,3291,3292],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[45,3294,3295],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[45,3297,3298],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[45,3300,3301],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[45,3303,3304],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[32,3306,3307],{},[48,3308,189],{},[42,3310,3311,3314,3317,3320,3323,3326,3329,3332],{},[45,3312,3313],{},"本地性能受硬件限制：M1 Air 跑 7B 慢，M3 Max \u002F Mac Studio \u002F 高端 GPU 更适合",[45,3315,3316],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[45,3318,3319],{},"桌面 only，无 iOS \u002F Android",[45,3321,3322],{},"llama.cpp 更新滞后官方上游 1-2 版本",[45,3324,3325],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[45,3327,3328],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[45,3330,3331],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[45,3333,3334],{},"中文 UI 不完整，部分功能仍是英文",[27,3336,218],{"id":218},[220,3338,3339,3342,3345,3348,3351,3354,3357],{},[45,3340,3341],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[45,3343,3344],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[45,3346,3347],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[45,3349,3350],{},"加云模型：OpenAI Key + Anthropic Key",[45,3352,3353],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[45,3355,3356],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[45,3358,3359],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[27,3361,242],{"id":242},[244,3363,3364,3381],{},[247,3365,3366],{},[250,3367,3368,3370,3372,3375,3378],{},[253,3369,255],{},[253,3371,3142],{},[253,3373,3374],{},"Ollama",[253,3376,3377],{},"LM Studio",[253,3379,3380],{},"Jan",[268,3382,3383,3398,3413,3426,3438,3451,3465,3480,3492,3506],{},[250,3384,3385,3388,3391,3394,3396],{},[273,3386,3387],{},"GUI",[273,3389,3390],{},"✅ 颜值高",[273,3392,3393],{},"❌ CLI",[273,3395,897],{},[273,3397,897],{},[250,3399,3400,3403,3406,3408,3411],{},[273,3401,3402],{},"本地引擎",[273,3404,3405],{},"MLX\u002Fllama.cpp\u002FOllama",[273,3407,3374],{},[273,3409,3410],{},"llama.cpp",[273,3412,3410],{},[250,3414,3415,3418,3420,3422,3424],{},[273,3416,3417],{},"云模型",[273,3419,897],{},[273,3421,987],{},[273,3423,987],{},[273,3425,340],{},[250,3427,3428,3430,3432,3434,3436],{},[273,3429,3183],{},[273,3431,948],{},[273,3433,987],{},[273,3435,340],{},[273,3437,283],{},[250,3439,3440,3442,3445,3447,3449],{},[273,3441,3189],{},[273,3443,3444],{},"✅ per-conv",[273,3446,987],{},[273,3448,987],{},[273,3450,340],{},[250,3452,3453,3456,3459,3461,3463],{},[273,3454,3455],{},"Studios",[273,3457,3458],{},"✅ Prompt\u002FPersona\u002FSkills",[273,3460,283],{},[273,3462,283],{},[273,3464,283],{},[250,3466,3467,3470,3472,3475,3477],{},[273,3468,3469],{},"开源",[273,3471,987],{},[273,3473,3474],{},"✅ MIT",[273,3476,987],{},[273,3478,3479],{},"✅ Apache 2.0",[250,3481,3482,3484,3486,3488,3490],{},[273,3483,365],{},[273,3485,602],{},[273,3487,602],{},[273,3489,602],{},[273,3491,602],{},[250,3493,3494,3497,3500,3502,3504],{},[273,3495,3496],{},"终身",[273,3498,3499],{},"$349",[273,3501,283],{},[273,3503,283],{},[273,3505,283],{},[250,3507,3508,3510,3513,3516,3519],{},[273,3509,397],{},[273,3511,3512],{},"桌面颜值 + 多模型",[273,3514,3515],{},"CLI \u002F Server",[273,3517,3518],{},"模型市场",[273,3520,3521],{},"严格开源",[27,3523,412],{"id":412},[42,3525,3526,3532,3538,3544,3550,3556,3562,3568,3574],{},[45,3527,3528,3531],{},[48,3529,3530],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[45,3533,3534,3537],{},[48,3535,3536],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[45,3539,3540,3543],{},[48,3541,3542],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[45,3545,3546,3549],{},[48,3547,3548],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[45,3551,3552,3555],{},[48,3553,3554],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[45,3557,3558,3561],{},[48,3559,3560],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[45,3563,3564,3567],{},[48,3565,3566],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[45,3569,3570,3573],{},[48,3571,3572],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[45,3575,3576,3578],{},[48,3577,1066],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[27,3580,472],{"id":471},[42,3582,3583,3586,3589,3592,3595,3598,3601,3604],{},[45,3584,3585],{},"✅ 隐私敏感 + 数据零云",[45,3587,3588],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[45,3590,3591],{},"✅ 不愿学 Ollama CLI 的非工程师",[45,3593,3594],{},"✅ 多模型对比决策场景",[45,3596,3597],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[45,3599,3600],{},"❌ 要 mobile 移动主力",[45,3602,3603],{},"❌ 团队协作 + 共享 workspace",[45,3605,3606],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[27,3608,501],{"id":501},[42,3610,3611,3616,3621],{},[45,3612,3613],{},[507,3614,3615],{"href":3146},"Ollama 评测",[45,3617,3618],{},[507,3619,3620],{"href":3149},"LM Studio 评测",[45,3622,3623],{},[507,3624,3625],{"href":3152},"Open WebUI 评测",[27,3627,522],{"id":522},[220,3629,3630,3637,3644,3651],{},[45,3631,3632,3633],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[507,3634,3635],{"href":3635,"rel":3636},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[532],[45,3638,3639,3640],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[507,3641,3642],{"href":3642,"rel":3643},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[532],[45,3645,3646,3647],{},"ML Journey — Msty Multi-model Comparison Guide ",[507,3648,3649],{"href":3649,"rel":3650},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[532],[45,3652,3653,3654],{},"AISO Tools — Msty Pricing 2026 ",[507,3655,3656],{"href":3656,"rel":3657},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[532],{"title":555,"searchDepth":556,"depth":556,"links":3659},[3660,3661,3662,3663,3664,3665,3666,3667,3668,3669],{"id":29,"depth":559,"text":30},{"id":40,"depth":559,"text":40},{"id":120,"depth":559,"text":120},{"id":3273,"depth":559,"text":3274},{"id":218,"depth":559,"text":218},{"id":242,"depth":559,"text":242},{"id":412,"depth":559,"text":412},{"id":471,"depth":559,"text":472},{"id":501,"depth":559,"text":501},{"id":522,"depth":559,"text":522},"\u002Fimg\u002Ftools\u002Fmsty.webp","Msty 真实评测：privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎 + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体管理 + Split Chats 多模型同时跑同问题 + Knowledge Stack（per-conversation RAG，区别于 AnythingLLM workspace）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地全功能 \u002F Aurum $5-149 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[3673,3676,3679,3682],{"q":3674,"a":3675},"和 Ollama \u002F LM Studio \u002F Jan \u002F AnythingLLM 怎么选？","Msty 强在『多模型 split chat 对比 + Knowledge Stack 灵活 per-conversation + UI 颜值』。Ollama 是 CLI + server，无 GUI 适合开发者。LM Studio 强在『模型市场 + 性能 profiling』。Jan 开源 + Apache 2.0 协议自由度高。AnythingLLM 强在 workspace + RAG agent。要桌面颜值 + 多模型对比 + 简单 RAG → Msty；要 CLI \u002F server → Ollama；要模型市场 → LM Studio；要严格开源 → Jan。",{"q":3677,"a":3678},"Knowledge Stack 怎么用？","上传文档 \u002F URL \u002F 文本到 Knowledge collection，per-conversation 附加。和 AnythingLLM 的 workspace 区别：Msty 是 conversation 级，每对话独立 context，不会跨对话泄露。多项目并行场景非常顺。Aurum 解锁更大 \u002F 更高级 Knowledge。",{"q":3680,"a":3681},"Split Chats 真的实用吗？","对，多模型决策场景非常有用：决定哪个模型适合任务（同问题看 GPT-5 \u002F Claude \u002F Llama 3 输出）；本地 vs 云模型质量评估；事实问题模型分歧检测（多个模型给同样答案 = 更可信）。日常使用确实降低选错模型成本。",{"q":1170,"a":3683},"本地模式完全离线可用（Ollama \u002F llama.cpp \u002F MLX 本地模型 + Qwen \u002F DeepSeek 中文模型）。云模式接 OpenAI \u002F Anthropic 需要海外网络 + 卡。Aurum 订阅需海外支付。最佳路径：本地 Free + Ollama + Qwen2.5\u002FDeepSeek 中文，零订阅 + 零外网依赖。",[589,591],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[1175,1176,1177,597],[3689,3692,3696,3700],{"plan":127,"price":602,"features":3690,"notes":3691},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":3252,"price":3693,"features":3694,"notes":3695},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":3258,"price":3697,"features":3698,"notes":3699},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":3264,"price":3701,"features":3702,"notes":3703},"$300\u002Fuser·年","SSO + 团队管理 + 私有部署支持","需联系销售","Free 本地无限 \u002F Aurum $149·年（cloud sync）\u002F Lifetime $349 一次买断 \u002F Enterprise $300·user·年",[3706],{"name":3707,"url":3708},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":570,"ux":619,"price":619,"cn_support":556,"stability":570},{"title":3142,"description":3671},"agent\u002Fgeneral\u002Fmsty",[3713,3715,3717,3719],{"name":3714,"url":3635,"accessed":625},"Msty 官网 + Features",{"name":3716,"url":3642,"accessed":625},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":3718,"url":3649,"accessed":625},"ML Journey — Msty Local LLM Comparison Guide",{"name":3720,"url":3656,"accessed":625},"AISO Tools — Msty Pricing 2026","tools\u002Fagent\u002Fgeneral\u002Fmsty","本地优先 + 多模型并行的桌面 AI——Split Chats \u002F Knowledge Stack \u002F Agent Mode 三件套",[3724,1211,1213,1750,3725],"local-first","msty","Ollama \u002F LM Studio 的『精品桌面应用版』——拒绝 CLI + 拒绝云上传 + 多模型同窗对比的最佳选择。Mac mini \u002F Linux 私人 AI 服务器场景神器。要团队协作 + 云同步建议 Claude Team \u002F ChatGPT Team。","https:\u002F\u002Fmsty.ai","fpfoiXkk8MMUyRVhYjBVH-obs7K8TDT8HK_Fgt5GfAM",{"id":3730,"title":3731,"alternatives":3732,"api_compatible":22,"body":3742,"category":569,"chinese_friendly":570,"cover":4400,"description":4401,"domestic":573,"extension":574,"faq":4402,"free":573,"github":22,"languages":4415,"meta":4416,"models":22,"navigation":593,"notSuitable":22,"opensource":593,"path":4417,"pillar":595,"platforms":4418,"priceTable":4420,"pricing":4424,"published":613,"relatedPlaybooks":4425,"relatedReviews":22,"score":4429,"self_host":593,"seo":4430,"slug":4431,"sources":4432,"stem":4441,"suitable":22,"tagline":4442,"tags":4443,"updated":625,"verdict":4449,"website":4361,"__hash__":4450},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[3733,3736,3739],{"name":3734,"url":3735},"langflow","\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",{"name":3737,"url":3738},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":3740,"url":3741},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"type":24,"value":3743,"toc":4388},[3744,3746,3753,3756,3758,3834,3836,3853,3857,3861,3887,3891,3917,3919,4069,4072,4078,4080,4245,4247,4305,4307,4333,4335,4352,4354,4384],[27,3745,30],{"id":29},[32,3747,3748,3749,3752],{},"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（",[2578,3750,3751],{},"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。",[32,3754,3755],{},"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）。",[27,3757,40],{"id":40},[42,3759,3760,3768,3774,3780,3786,3792,3798,3804,3810,3816,3822,3828],{},[45,3761,3762,2534,3765,3767],{},[48,3763,3764],{},"多 agent orchestration",[2578,3766,3751],{}," 编排多个专门 agent 协作",[45,3769,3770,3773],{},[48,3771,3772],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[45,3775,3776,3779],{},[48,3777,3778],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[45,3781,3782,3785],{},[48,3783,3784],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[45,3787,3788,3791],{},[48,3789,3790],{},"OpenManus-RL","：强化学习微调分支",[45,3793,3794,3797],{},[48,3795,3796],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[45,3799,3800,3803],{},[48,3801,3802],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[45,3805,3806,3809],{},[48,3807,3808],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[45,3811,3812,3815],{},[48,3813,3814],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[45,3817,3818,3821],{},[48,3819,3820],{},"Web UI 监控","：实时看 AI thinking process",[45,3823,3824,3827],{},[48,3825,3826],{},"任务可视化","：步骤拆解 + 执行树",[45,3829,3830,3833],{},[48,3831,3832],{},"MIT 协议","：个人 + 商用全免费",[27,3835,120],{"id":120},[42,3837,3838,3844,3847,3850],{},[45,3839,3840,3843],{},[48,3841,3842],{},"Free \u002F OSS","：$0；MIT 协议",[45,3845,3846],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[45,3848,3849],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[45,3851,3852],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[27,3854,3856],{"id":3855},"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）",[32,3858,3859],{},[48,3860,161],{},[42,3862,3863,3866,3869,3872,3875,3878,3881,3884],{},[45,3864,3865],{},"52k stars 印证社区认同度 + 活跃度",[45,3867,3868],{},"MetaGPT 团队背景保证架构质量",[45,3870,3871],{},"多 agent 协作场景比单 agent 实现稳得多",[45,3873,3874],{},"Playwright 浏览器自动化非常完整",[45,3876,3877],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[45,3879,3880],{},"DataAnalysis 内置 agent 模式开箱即用",[45,3882,3883],{},"中文支持自然（Qwen VL Plus 接入）",[45,3885,3886],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[32,3888,3889],{},[48,3890,189],{},[42,3892,3893,3896,3899,3902,3905,3908,3911,3914],{},[45,3894,3895],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[45,3897,3898],{},"文档滞后新功能 1-2 个月",[45,3900,3901],{},"无官方 GUI，监控 UI 在做但不完整",[45,3903,3904],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[45,3906,3907],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[45,3909,3910],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[45,3912,3913],{},"中文 prompt 效果依赖底层模型",[45,3915,3916],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[27,3918,218],{"id":218},[2571,3920,3924],{"className":3921,"code":3922,"language":3923,"meta":555,"style":555},"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",[2578,3925,3926,3942,3951,3979,3993,4003,4009,4014,4025,4031,4035,4041,4050,4055,4061],{"__ignoreMap":555},[3927,3928,3931,3935,3939],"span",{"class":3929,"line":3930},"line",1,[3927,3932,3934],{"class":3933},"sScJk","git",[3927,3936,3938],{"class":3937},"sZZnC"," clone",[3927,3940,3941],{"class":3937}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[3927,3943,3944,3948],{"class":3929,"line":559},[3927,3945,3947],{"class":3946},"sj4cs","cd",[3927,3949,3950],{"class":3937}," OpenManus\n",[3927,3952,3953,3956,3959,3962,3965,3969,3972,3975],{"class":3929,"line":556},[3927,3954,3955],{"class":3933},"python3.12",[3927,3957,3958],{"class":3946}," -m",[3927,3960,3961],{"class":3937}," venv",[3927,3963,3964],{"class":3937}," .venv",[3927,3966,3968],{"class":3967},"sVt8B"," && ",[3927,3970,3971],{"class":3946},"source",[3927,3973,3974],{"class":3937}," .venv\u002Fbin\u002Factivate",[3927,3976,3978],{"class":3977},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[3927,3980,3981,3984,3987,3990],{"class":3929,"line":570},[3927,3982,3983],{"class":3933},"pip",[3927,3985,3986],{"class":3937}," install",[3927,3988,3989],{"class":3946}," -r",[3927,3991,3992],{"class":3937}," requirements.txt\n",[3927,3994,3995,3998,4000],{"class":3929,"line":619},[3927,3996,3997],{"class":3933},"playwright",[3927,3999,3986],{"class":3937},[3927,4001,4002],{"class":3937}," chromium\n",[3927,4004,4006],{"class":3929,"line":4005},6,[3927,4007,4008],{"emptyLinePlaceholder":593},"\n",[3927,4010,4011],{"class":3929,"line":5},[3927,4012,4013],{"class":3977},"# 配 LLM API\n",[3927,4015,4016,4019,4022],{"class":3929,"line":8},[3927,4017,4018],{"class":3933},"cp",[3927,4020,4021],{"class":3937}," config\u002Fconfig.example.toml",[3927,4023,4024],{"class":3937}," config\u002Fconfig.toml\n",[3927,4026,4028],{"class":3929,"line":4027},9,[3927,4029,4030],{"class":3977},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[3927,4032,4033],{"class":3929,"line":7},[3927,4034,4008],{"emptyLinePlaceholder":593},[3927,4036,4038],{"class":3929,"line":4037},11,[3927,4039,4040],{"class":3977},"# 单 agent 模式\n",[3927,4042,4044,4047],{"class":3929,"line":4043},12,[3927,4045,4046],{"class":3933},"python",[3927,4048,4049],{"class":3937}," main.py\n",[3927,4051,4053],{"class":3929,"line":4052},13,[3927,4054,4008],{"emptyLinePlaceholder":593},[3927,4056,4058],{"class":3929,"line":4057},14,[3927,4059,4060],{"class":3977},"# 多 agent 模式\n",[3927,4062,4064,4066],{"class":3929,"line":4063},15,[3927,4065,4046],{"class":3933},[3927,4067,4068],{"class":3937}," run_flow.py\n",[32,4070,4071],{},"试任务示例：",[2571,4073,4076],{"className":4074,"code":4075,"language":2576},[2574],"> 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",[2578,4077,4075],{"__ignoreMap":555},[27,4079,242],{"id":242},[244,4081,4082,4099],{},[247,4083,4084],{},[250,4085,4086,4088,4090,4093,4096],{},[253,4087,255],{},[253,4089,3731],{},[253,4091,4092],{},"LangChain",[253,4094,4095],{},"AutoGPT",[253,4097,4098],{},"CrewAI",[268,4100,4101,4117,4131,4143,4158,4171,4185,4199,4216,4229],{},[250,4102,4103,4105,4108,4111,4114],{},[273,4104,1438],{},[273,4106,4107],{},"现成 agent 实现",[273,4109,4110],{},"building blocks",[273,4112,4113],{},"早期通用 agent",[273,4115,4116],{},"多 agent 框架",[250,4118,4119,4122,4125,4127,4129],{},[273,4120,4121],{},"浏览器自动化",[273,4123,4124],{},"✅ Playwright",[273,4126,283],{},[273,4128,340],{},[273,4130,283],{},[250,4132,4133,4135,4137,4139,4141],{},[273,4134,941],{},[273,4136,897],{},[273,4138,340],{},[273,4140,283],{},[273,4142,283],{},[250,4144,4145,4148,4151,4154,4156],{},[273,4146,4147],{},"多 agent",[273,4149,4150],{},"✅ orchestration",[273,4152,4153],{},"需自搭",[273,4155,987],{},[273,4157,948],{},[250,4159,4160,4163,4165,4167,4169],{},[273,4161,4162],{},"DataAnalysis 内置",[273,4164,897],{},[273,4166,283],{},[273,4168,283],{},[273,4170,283],{},[250,4172,4173,4176,4179,4181,4183],{},[273,4174,4175],{},"RL 微调",[273,4177,4178],{},"✅ OpenManus-RL",[273,4180,283],{},[273,4182,283],{},[273,4184,283],{},[250,4186,4187,4190,4193,4195,4197],{},[273,4188,4189],{},"协议",[273,4191,4192],{},"MIT",[273,4194,4192],{},[273,4196,4192],{},[273,4198,4192],{},[250,4200,4201,4204,4207,4210,4213],{},[273,4202,4203],{},"Stars",[273,4205,4206],{},"52k+",[273,4208,4209],{},"100k+",[273,4211,4212],{},"170k+",[273,4214,4215],{},"30k+",[250,4217,4218,4220,4222,4225,4227],{},[273,4219,218],{},[273,4221,353],{},[273,4223,4224],{},"难",[273,4226,353],{},[273,4228,353],{},[250,4230,4231,4233,4236,4239,4242],{},[273,4232,397],{},[273,4234,4235],{},"自托管 Manus 复刻",[273,4237,4238],{},"底层 framework",[273,4240,4241],{},"学习经典",[273,4243,4244],{},"多 agent 协作",[27,4246,412],{"id":412},[42,4248,4249,4255,4265,4271,4277,4283,4289,4295,4299],{},[45,4250,4251,4254],{},[48,4252,4253],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[45,4256,4257,4260,4261,4264],{},[48,4258,4259],{},"Playwright 依赖大","：首次 ",[2578,4262,4263],{},"playwright install"," 下 chromium 慢，国内走镜像",[45,4266,4267,4270],{},[48,4268,4269],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[45,4272,4273,4276],{},[48,4274,4275],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[45,4278,4279,4282],{},[48,4280,4281],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[45,4284,4285,4288],{},[48,4286,4287],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[45,4290,4291,4294],{},[48,4292,4293],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[45,4296,4297,1067],{},[48,4298,1066],{},[45,4300,4301,4304],{},[48,4302,4303],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[27,4306,472],{"id":471},[42,4308,4309,4312,4315,4318,4321,4324,4327,4330],{},[45,4310,4311],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[45,4313,4314],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[45,4316,4317],{},"✅ 隐私敏感 + 不愿数据上商业云",[45,4319,4320],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[45,4322,4323],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[45,4325,4326],{},"❌ 要 GUI \u002F 上手即用",[45,4328,4329],{},"❌ 生产级稳定（文档滞后 + 演进快）",[45,4331,4332],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[27,4334,501],{"id":501},[42,4336,4337,4342,4347],{},[45,4338,4339],{},[507,4340,4341],{"href":3735},"Langflow 评测",[45,4343,4344],{},[507,4345,4346],{"href":3738},"n8n 评测",[45,4348,4349],{},[507,4350,4351],{"href":3741},"Composio 评测",[27,4353,522],{"id":522},[220,4355,4356,4363,4370,4377],{},[45,4357,4358,4359],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[507,4360,4361],{"href":4361,"rel":4362},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[532],[45,4364,4365,4366],{},"Foundation Agents — OpenManus 项目介绍 ",[507,4367,4368],{"href":4368,"rel":4369},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[532],[45,4371,4372,4373],{},"Toolsverse — OpenManus 评测 + 52k stars ",[507,4374,4375],{"href":4375,"rel":4376},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[532],[45,4378,4379,4380],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[507,4381,4382],{"href":4382,"rel":4383},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[532],[4385,4386,4387],"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 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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":555,"searchDepth":556,"depth":556,"links":4389},[4390,4391,4392,4393,4394,4395,4396,4397,4398,4399],{"id":29,"depth":559,"text":30},{"id":40,"depth":559,"text":40},{"id":120,"depth":559,"text":120},{"id":3855,"depth":559,"text":3856},{"id":218,"depth":559,"text":218},{"id":242,"depth":559,"text":242},{"id":412,"depth":559,"text":412},{"id":471,"depth":559,"text":472},{"id":501,"depth":559,"text":501},{"id":522,"depth":559,"text":522},"\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。",[4403,4406,4409,4412],{"q":4404,"a":4405},"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":4407,"a":4408},"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":4410,"a":4411},"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":4413,"a":4414},"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。",[589,590,591],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[1177,1175,1176,4419],"docker",[4421],{"plan":3842,"price":602,"features":4422,"notes":4423},"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）",[4426],{"name":4427,"url":4428},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":619,"ux":556,"price":619,"cn_support":570,"stability":556},{"title":3731,"description":4401},"agent\u002Fgeneral\u002Fopenmanus",[4433,4435,4437,4439],{"name":4434,"url":4361,"accessed":625},"OpenManus GitHub（FoundationAgents 组织）",{"name":4436,"url":4368,"accessed":625},"Foundation Agents — OpenManus 项目介绍",{"name":4438,"url":4375,"accessed":625},"Toolsverse — OpenManus 评测 + 52k stars",{"name":4440,"url":4382,"accessed":625},"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",[4444,636,4445,4446,4447,4448],"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。","qUdn6uczDc3zzGsEiWZZQpmMYb9C0V4SkeLUu6ASxgs",[],1782316490364]