[{"data":1,"prerenderedAt":4425},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fgeneral\u002Fflowith":9,"tool-stats-agent\u002Fgeneral\u002Fflowith":618,"cat-rank-agent-general":621,"tool-related-agent\u002Fgeneral\u002Fflowith":4424},{"tools":4,"reviews":5},65,7,{"tools":4,"reviews":5,"playbooks":7,"news":8},10,8,{"id":10,"title":11,"alternatives":12,"api_compatible":22,"body":23,"category":540,"chinese_friendly":541,"cover":542,"description":543,"domestic":544,"extension":545,"faq":546,"free":544,"github":22,"languages":559,"meta":563,"models":22,"navigation":564,"notSuitable":22,"opensource":544,"path":565,"pillar":566,"platforms":567,"priceTable":571,"pricing":588,"published":589,"relatedPlaybooks":590,"relatedReviews":22,"score":594,"self_host":544,"seo":596,"slug":597,"sources":598,"stem":608,"suitable":22,"tagline":609,"tags":610,"updated":601,"verdict":616,"website":501,"__hash__":617},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[13,16,19],{"name":14,"url":15},"genspark","\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",{"name":17,"url":18},"alice","\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",{"name":20,"url":21},"claude-desktop","\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",null,{"type":24,"value":25,"toc":525},"minimark",[26,31,35,38,41,106,109,135,141,145,150,173,178,204,207,228,231,375,378,440,444,470,473,491,494],[27,28,30],"h2",{"id":29},"tldr","TL;DR",[32,33,34],"p",{},"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。",[32,36,37],{},"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。",[27,39,40],{"id":40},"核心能力",[42,43,44,52,58,64,70,76,82,88,94,100],"ul",{},[45,46,47,51],"li",{},[48,49,50],"strong",{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[45,53,54,57],{},[48,55,56],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[45,59,60,63],{},[48,61,62],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[45,65,66,69],{},[48,67,68],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[45,71,72,75],{},[48,73,74],{},"多线程并行","：同时跑多个 thread，画布一览",[45,77,78,81],{},[48,79,80],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[45,83,84,87],{},[48,85,86],{},"iOS App","：2026 上线，移动 workspace 访问",[45,89,90,93],{},[48,91,92],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[45,95,96,99],{},[48,97,98],{},"商业授权","：Pro+ 包含商业使用权",[45,101,102,105],{},[48,103,104],{},"Web Control UI","：浏览器原生，多设备同步",[27,107,108],{"id":108},"价格",[42,110,111,117,123,129],{},[45,112,113,116],{},[48,114,115],{},"Free","：$0；300 一次性 credits（试水级）",[45,118,119,122],{},[48,120,121],{},"Pro","：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[45,124,125,128],{},[48,126,127],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[45,130,131,134],{},[48,132,133],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[136,137,138],"blockquote",{},[32,139,140],{},"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。",[27,142,144],{"id":143},"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）",[32,146,147],{},[48,148,149],{},"亮点：",[42,151,152,155,158,161,164,167,170],{},[45,153,154],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[45,156,157],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[45,159,160],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[45,162,163],{},"40+ 模型一窗体内切换 + 对比",[45,165,166],{},"多设备同步流畅",[45,168,169],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[45,171,172],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[32,174,175],{},[48,176,177],{},"踩坑：",[42,179,180,183,186,189,192,195,198,201],{},[45,181,182],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[45,184,185],{},"学习曲线明显，画布操作 + 节点连线要花时间",[45,187,188],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[45,190,191],{},"Free 300 credits 不够体验完整流程",[45,193,194],{},"Agent Neo 偶尔『过度自治』产出不可控",[45,196,197],{},"移动 iOS 体验不如桌面 Web",[45,199,200],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[45,202,203],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[27,205,206],{"id":206},"上手",[208,209,210,213,216,219,222,225],"ol",{},[45,211,212],{},"flowith.io → Free 注册 → 拿 300 credits",[45,214,215],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[45,217,218],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[45,220,221],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[45,223,224],{},"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",[45,226,227],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[27,229,230],{"id":230},"对比",[232,233,234,255],"table",{},[235,236,237],"thead",{},[238,239,240,244,246,249,252],"tr",{},[241,242,243],"th",{},"维度",[241,245,11],{},[241,247,248],{},"Genspark",[241,250,251],{},"ChatGPT",[241,253,254],{},"Claude",[256,257,258,275,292,309,326,342,358],"tbody",{},[238,259,260,264,267,270,273],{},[261,262,263],"td",{},"形态",[261,265,266],{},"无限画布 + 节点",[261,268,269],{},"多 Agent + Sparkpage",[261,271,272],{},"线性 chat",[261,274,272],{},[238,276,277,280,283,286,289],{},[261,278,279],{},"自治 agent",[261,281,282],{},"✅ Neo 1000+ 步",[261,284,285],{},"✅ Super Agent",[261,287,288],{},"✅ Operator",[261,290,291],{},"❌（API 走）",[238,293,294,297,300,303,306],{},[261,295,296],{},"上下文",[261,298,299],{},"10M token",[261,301,302],{},"200K",[261,304,305],{},"1M（GPT-5）",[261,307,308],{},"1M（Claude）",[238,310,311,314,317,320,323],{},[261,312,313],{},"模型数",[261,315,316],{},"40+",[261,318,319],{},"多家",[261,321,322],{},"OpenAI",[261,324,325],{},"Anthropic",[238,327,328,331,334,337,340],{},[261,329,330],{},"Knowledge base",[261,332,333],{},"✅ Seeds",[261,335,336],{},"–",[261,338,339],{},"Projects",[261,341,339],{},[238,343,344,347,350,353,356],{},[261,345,346],{},"起价",[261,348,349],{},"$19.90\u002F月",[261,351,352],{},"$25\u002F月",[261,354,355],{},"$20\u002F月",[261,357,355],{},[238,359,360,363,366,369,372],{},[261,361,362],{},"适合",[261,364,365],{},"深度多线程 + 长任务",[261,367,368],{},"全能 Super Agent",[261,370,371],{},"通用",[261,373,374],{},"Coding \u002F 长文",[27,376,377],{"id":377},"避坑",[42,379,380,386,392,398,404,410,416,422,428,434],{},[45,381,382,385],{},[48,383,384],{},"从 Pro 起","：Free 300 credits 玩不出深度",[45,387,388,391],{},[48,389,390],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[45,393,394,397],{},[48,395,396],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[45,399,400,403],{},[48,401,402],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[45,405,406,409],{},[48,407,408],{},"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",[45,411,412,415],{},[48,413,414],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[45,417,418,421],{},[48,419,420],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[45,423,424,427],{},[48,425,426],{},"移动端","：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[45,429,430,433],{},[48,431,432],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[45,435,436,439],{},[48,437,438],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[27,441,443],{"id":442},"适合-不适合","适合 \u002F 不适合",[42,445,446,449,452,455,458,461,464,467],{},[45,447,448],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[45,450,451],{},"✅ 要 10M token 超长上下文做综合分析",[45,453,454],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[45,456,457],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[45,459,460],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[45,462,463],{},"❌ 预算极紧 + 不愿学习曲线",[45,465,466],{},"❌ 线性思维 + 单线程偏好",[45,468,469],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[27,471,472],{"id":472},"相关阅读",[42,474,475,481,486],{},[45,476,477],{},[478,479,480],"a",{"href":15},"Genspark 评测",[45,482,483],{},[478,484,485],{"href":18},"Alice 评测",[45,487,488],{},[478,489,490],{"href":21},"Claude Desktop 评测",[27,492,493],{"id":493},"来源",[208,495,496,504,511,518],{},[45,497,498,499],{},"Flowith 官网 + Pricing ",[478,500,501],{"href":501,"rel":502},"https:\u002F\u002Fflowith.io",[503],"nofollow",[45,505,506,507],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[478,508,509],{"href":509,"rel":510},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[503],[45,512,513,514],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[478,515,516],{"href":516,"rel":517},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[503],[45,519,520,521],{},"OpenTools — Flowith Review May 2026 ",[478,522,523],{"href":523,"rel":524},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[503],{"title":526,"searchDepth":527,"depth":527,"links":528},"",3,[529,531,532,533,534,535,536,537,538,539],{"id":29,"depth":530,"text":30},2,{"id":40,"depth":530,"text":40},{"id":108,"depth":530,"text":108},{"id":143,"depth":530,"text":144},{"id":206,"depth":530,"text":206},{"id":230,"depth":530,"text":230},{"id":377,"depth":530,"text":377},{"id":442,"depth":530,"text":443},{"id":472,"depth":530,"text":472},{"id":493,"depth":530,"text":493},"general",4,"\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。",false,"md",[547,550,553,556],{"q":548,"a":549},"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":551,"a":552},"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":554,"a":555},"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":557,"a":558},"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。",[560,561,562],"en","zh","multi",{},true,"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","agent",[568,569,570],"web","ios","macos-flowithos",[572,577,580,584],{"plan":573,"price":574,"features":575,"notes":576},"Starter (Free)","$0","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":121,"price":349,"features":578,"notes":579},"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":127,"price":581,"features":582,"notes":583},"$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":133,"price":585,"features":586,"notes":587},"$499.90\u002F月","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）","2026-06-19",[591],{"name":592,"url":593},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":595,"ux":541,"price":527,"cn_support":541,"stability":541},5,{"title":11,"description":543},"agent\u002Fgeneral\u002Fflowith",[599,602,604,606],{"name":600,"url":501,"accessed":601},"Flowith 官网","2026-06-24",{"name":603,"url":509,"accessed":601},"Toolworthy — Flowith Review 2026",{"name":605,"url":516,"accessed":601},"BlockSentient — Flowith 2026 详细评测",{"name":607,"url":523,"accessed":601},"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",[611,612,613,614,615],"canvas","multi-model","agentic","knowledge-base","flowith","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",{"ok":564,"slug":619,"viewCount":620,"clickCount":620,"avgRating":620,"ratingCount":620},"agent%2Fgeneral%2Fflowith",0,[622,1194,1578,2137,3113,3702],{"id":623,"title":624,"alternatives":625,"api_compatible":22,"body":631,"category":540,"chinese_friendly":527,"cover":1134,"description":1135,"domestic":544,"extension":545,"faq":1136,"free":544,"github":22,"languages":1149,"meta":1150,"models":22,"navigation":564,"notSuitable":22,"opensource":544,"path":18,"pillar":566,"platforms":1151,"priceTable":1155,"pricing":1168,"published":589,"relatedPlaybooks":1169,"relatedReviews":22,"score":1173,"self_host":544,"seo":1174,"slug":1175,"sources":1176,"stem":1184,"suitable":22,"tagline":1185,"tags":1186,"updated":601,"verdict":1191,"website":1192,"__hash__":1193},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[626,627,630],{"name":20,"url":21},{"name":628,"url":629},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":615,"url":565},{"type":24,"value":632,"toc":1122},[633,635,638,641,643,711,713,736,741,745,749,772,776,802,804,827,829,986,988,1044,1046,1072,1074,1090,1092],[27,634,30],{"id":29},[32,636,637],{},"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。",[32,639,640],{},"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。",[27,642,40],{"id":40},[42,644,645,651,657,663,669,675,681,687,693,699,705],{},[45,646,647,650],{},[48,648,649],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[45,652,653,656],{},[48,654,655],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[45,658,659,662],{},[48,660,661],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[45,664,665,668],{},[48,666,667],{},"200+ Skills","：power user 社区贡献的能力包",[45,670,671,674],{},[48,672,673],{},"MCP 集成","：可调用 MCP server 工具",[45,676,677,680],{},[48,678,679],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[45,682,683,686],{},[48,684,685],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[45,688,689,692],{},[48,690,691],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[45,694,695,698],{},[48,696,697],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[45,700,701,704],{},[48,702,703],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[45,706,707,710],{},[48,708,709],{},"3 周免费试用","：体验完整再决策",[27,712,108],{"id":108},[42,714,715,721,727,733],{},[45,716,717,720],{},[48,718,719],{},"Free Trial","：3 周完整功能，无信用卡",[45,722,723,726],{},[48,724,725],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[45,728,729,732],{},[48,730,731],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[45,734,735],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[136,737,738],{},[32,739,740],{},"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。",[27,742,744],{"id":743},"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）",[32,746,747],{},[48,748,149],{},[42,750,751,754,757,760,763,766,769],{},[45,752,753],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[45,755,756],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[45,758,759],{},"50+ Assistants 节省 prompt engineering 时间",[45,761,762],{},"数据本地 + 无 telemetry，隐私党非常友好",[45,764,765],{},"一次买断 vs 多家月费的累计性价比高",[45,767,768],{},"BYO API 让账单透明，不会有平台抽成",[45,770,771],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[32,773,774],{},[48,775,177],{},[42,777,778,781,784,787,790,793,796,799],{},[45,779,780],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[45,782,783],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[45,785,786],{},"移动端缺失，出门用不上",[45,788,789],{},"Linux 版本更新偶尔比 macOS 慢",[45,791,792],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[45,794,795],{},"50+ Assistants 质量参差，要挑高赞的用",[45,797,798],{},"团队协作 \u002F 云同步不是产品重点",[45,800,801],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[27,803,206],{"id":206},[208,805,806,809,812,815,818,821,824],{},[45,807,808],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[45,810,811],{},"启动 → 3 周免费试用激活",[45,813,814],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[45,816,817],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[45,819,820],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[45,822,823],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[45,825,826],{},"满意后选 Personal $59 \u002F Business $99 买断",[27,828,230],{"id":230},[232,830,831,848],{},[235,832,833],{},[238,834,835,837,839,842,845],{},[241,836,243],{},[241,838,624],{},[241,840,841],{},"Raycast AI",[241,843,844],{},"Claude Desktop",[241,846,847],{},"ChatGPT Desktop",[256,849,850,866,883,898,913,928,941,957,970],{},[238,851,852,855,858,861,864],{},[261,853,854],{},"全局 hotkey",[261,856,857],{},"✅ 顶级",[261,859,860],{},"✅ Raycast",[261,862,863],{},"弱",[261,865,863],{},[238,867,868,871,874,877,880],{},[261,869,870],{},"BYO API",[261,872,873],{},"✅",[261,875,876],{},"❌ 内置",[261,878,879],{},"❌ Anthropic",[261,881,882],{},"❌ OpenAI",[238,884,885,888,891,894,896],{},[261,886,887],{},"一次买断",[261,889,890],{},"✅ $59-99",[261,892,893],{},"$10\u002F月",[261,895,355],{},[261,897,355],{},[238,899,900,903,905,907,910],{},[261,901,902],{},"多模型一窗",[261,904,873],{},[261,906,873],{},[261,908,909],{},"Claude only",[261,911,912],{},"OpenAI only",[238,914,915,918,920,923,926],{},[261,916,917],{},"MCP",[261,919,873],{},[261,921,922],{},"部分",[261,924,925],{},"✅ 旗舰",[261,927,922],{},[238,929,930,932,935,937,939],{},[261,931,691],{},[261,933,934],{},"✅ 零云",[261,936,336],{},[261,938,336],{},[261,940,336],{},[238,942,943,946,949,952,954],{},[261,944,945],{},"平台",[261,947,948],{},"macOS\u002FWin\u002FLinux",[261,950,951],{},"macOS only",[261,953,948],{},[261,955,956],{},"macOS\u002FWin",[238,958,959,961,964,966,968],{},[261,960,426],{},[261,962,963],{},"❌",[261,965,963],{},[261,967,336],{},[261,969,873],{},[238,971,972,974,977,980,983],{},[261,973,362],{},[261,975,976],{},"全局 AI + 多模型 + 买断",[261,978,979],{},"Mac 启动器 + AI",[261,981,982],{},"MCP 生态",[261,984,985],{},"OpenAI 全家桶",[27,987,377],{"id":377},[42,989,990,996,1002,1008,1014,1020,1026,1032,1038],{},[45,991,992,995],{},[48,993,994],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[45,997,998,1001],{},[48,999,1000],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[45,1003,1004,1007],{},[48,1005,1006],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[45,1009,1010,1013],{},[48,1011,1012],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[45,1015,1016,1019],{},[48,1017,1018],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[45,1021,1022,1025],{},[48,1023,1024],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[45,1027,1028,1031],{},[48,1029,1030],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[45,1033,1034,1037],{},[48,1035,1036],{},"不要一次升级到最新版","：5.x 改动大，pin minor 版本观察社区反馈",[45,1039,1040,1043],{},[48,1041,1042],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[27,1045,443],{"id":442},[42,1047,1048,1051,1054,1057,1060,1063,1066,1069],{},[45,1049,1050],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[45,1052,1053],{},"✅ 多模型用户不想被单 vendor 锁定",[45,1055,1056],{},"✅ 隐私敏感 + 数据全本地",[45,1058,1059],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[45,1061,1062],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[45,1064,1065],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[45,1067,1068],{},"❌ 不想管理 API Key 的纯用户",[45,1070,1071],{},"❌ 中国大陆海外卡 + API 不可得",[27,1073,472],{"id":472},[42,1075,1076,1080,1085],{},[45,1077,1078],{},[478,1079,490],{"href":21},[45,1081,1082],{},[478,1083,1084],{"href":629},"OpenClaw 评测",[45,1086,1087],{},[478,1088,1089],{"href":565},"Flowith 评测",[27,1091,493],{"id":493},[208,1093,1094,1101,1108,1115],{},[45,1095,1096,1097],{},"Alice 官网（heyalice.app）",[478,1098,1099],{"href":1099,"rel":1100},"https:\u002F\u002Fheyalice.app\u002F",[503],[45,1102,1103,1104],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[478,1105,1106],{"href":1106,"rel":1107},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[503],[45,1109,1110,1111],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[478,1112,1113],{"href":1113,"rel":1114},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[503],[45,1116,1117,1118],{},"Skywork — Alice AI Ultimate 2026 Guide ",[478,1119,1120],{"href":1120,"rel":1121},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[503],{"title":526,"searchDepth":527,"depth":527,"links":1123},[1124,1125,1126,1127,1128,1129,1130,1131,1132,1133],{"id":29,"depth":530,"text":30},{"id":40,"depth":530,"text":40},{"id":108,"depth":530,"text":108},{"id":743,"depth":530,"text":744},{"id":206,"depth":530,"text":206},{"id":230,"depth":530,"text":230},{"id":377,"depth":530,"text":377},{"id":442,"depth":530,"text":443},{"id":472,"depth":530,"text":472},{"id":493,"depth":530,"text":493},"\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。",[1137,1140,1143,1146],{"q":1138,"a":1139},"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":1141,"a":1142},"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":1144,"a":1145},"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":1147,"a":1148},"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。",[560],{},[1152,1153,1154],"macos","windows","linux",[1156,1160,1164],{"plan":719,"price":1157,"features":1158,"notes":1159},"$0 · 3 周","完整功能体验","无信用卡",{"plan":725,"price":1161,"features":1162,"notes":1163},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":731,"price":1165,"features":1166,"notes":1167},"~$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",[1170],{"name":1171,"url":1172},"macOS 全局 AI 工作流","\u002Fplaybook\u002Fonboarding\u002Fmacos-global-ai-workflow",{"power":541,"ux":595,"price":541,"cn_support":527,"stability":541},{"title":624,"description":1135},"agent\u002Fgeneral\u002Falice",[1177,1178,1180,1182],{"name":1096,"url":1099,"accessed":601},{"name":1179,"url":1106,"accessed":601},"Comparateur-IA — Alice AI Review 2026",{"name":1181,"url":1113,"accessed":601},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1183,"url":1120,"accessed":601},"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",[1187,612,1188,1189,1190,1152],"desktop-assistant","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 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可分享链接）",[45,1617,1618,1621],{},[48,1619,1620],{},"AI Slides","：10-15 张幻灯片含图表",[45,1623,1624,1627],{},[48,1625,1626],{},"AI Sites","：完整 landing page 一键生成",[45,1629,1630,1633],{},[48,1631,1632],{},"AI Video","：30-60s 短视频生成",[45,1635,1636,1639],{},[48,1637,1638],{},"AI Pods","：10 分钟 AI podcast 生成",[45,1641,1642,1645],{},[48,1643,1644],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[45,1647,1648,1651],{},[48,1649,1650],{},"AI Sheets","：CSV 数据分析 + 自动图表",[45,1653,1654,1657],{},[48,1655,1656],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[45,1659,1660,1663],{},[48,1661,1662],{},"iOS \u002F Android App","：移动端可用",[45,1665,1666,1669],{},[48,1667,1668],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[27,1671,108],{"id":108},[42,1673,1674,1679,1685,1690],{},[45,1675,1676,1678],{},[48,1677,115],{},"：100-200 daily credits（~3-8 简单任务）",[45,1680,1681,1684],{},[48,1682,1683],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[45,1686,1687,1689],{},[48,1688,121],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[45,1691,1692,1695],{},[48,1693,1694],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[136,1697,1698],{},[32,1699,1700],{},"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。",[27,1702,1704],{"id":1703},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[32,1706,1707],{},[48,1708,149],{},[42,1710,1711,1714,1717,1720,1723,1726,1729],{},[45,1712,1713],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[45,1715,1716],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[45,1718,1719],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[45,1721,1722],{},"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",[45,1724,1725],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[45,1727,1728],{},"Sparkpage 输出可直接分享 + 嵌入",[45,1730,1731],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[32,1733,1734],{},[48,1735,177],{},[42,1737,1738,1741,1744,1747,1750,1753,1756,1759],{},[45,1739,1740],{},"credit 消耗不透明，复杂任务前难估算成本",[45,1742,1743],{},"用户反馈 customer support + refund 有问题",[45,1745,1746],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[45,1748,1749],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[45,1751,1752],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[45,1754,1755],{},"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",[45,1757,1758],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[45,1760,1761],{},"Pro $249 月价格陡，中端断档",[27,1763,206],{"id":206},[208,1765,1766,1769,1772,1775,1778,1781],{},[45,1767,1768],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[45,1770,1771],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[45,1773,1774],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[45,1776,1777],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[45,1779,1780],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[45,1782,1783],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[27,1785,230],{"id":230},[232,1787,1788,1804],{},[235,1789,1790],{},[238,1791,1792,1794,1796,1798,1801],{},[241,1793,243],{},[241,1795,248],{},[241,1797,11],{},[241,1799,1800],{},"Perplexity Pro",[241,1802,1803],{},"ChatGPT Plus",[256,1805,1806,1821,1836,1850,1864,1879,1893,1906,1921],{},[238,1807,1808,1810,1813,1816,1818],{},[261,1809,1602],{},[261,1811,1812],{},"✅ 多 Agent",[261,1814,1815],{},"✅ Neo 自治",[261,1817,336],{},[261,1819,1820],{},"Operator",[238,1822,1823,1826,1829,1832,1834],{},[261,1824,1825],{},"可视化输出",[261,1827,1828],{},"✅ Sparkpage",[261,1830,1831],{},"✅ 画布",[261,1833,336],{},[261,1835,336],{},[238,1837,1838,1841,1844,1846,1848],{},[261,1839,1840],{},"真实电话调用",[261,1842,1843],{},"✅ Call For Me",[261,1845,336],{},[261,1847,336],{},[261,1849,336],{},[238,1851,1852,1855,1858,1860,1862],{},[261,1853,1854],{},"一键建站",[261,1856,1857],{},"✅ AI Sites",[261,1859,336],{},[261,1861,336],{},[261,1863,336],{},[238,1865,1866,1869,1872,1874,1876],{},[261,1867,1868],{},"视频 \u002F 音频生成",[261,1870,1871],{},"✅ Video \u002F Pods",[261,1873,922],{},[261,1875,336],{},[261,1877,1878],{},"Sora（独立）",[238,1880,1881,1884,1887,1889,1891],{},[261,1882,1883],{},"引用透明",[261,1885,1886],{},"中",[261,1888,336],{},[261,1890,857],{},[261,1892,922],{},[238,1894,1895,1897,1900,1902,1904],{},[261,1896,346],{},[261,1898,1899],{},"$25\u002F月（Plus）",[261,1901,349],{},[261,1903,355],{},[261,1905,355],{},[238,1907,1908,1911,1914,1916,1918],{},[261,1909,1910],{},"最贵",[261,1912,1913],{},"$249\u002F月",[261,1915,585],{},[261,1917,355],{},[261,1919,1920],{},"$200\u002F月",[238,1922,1923,1925,1928,1931,1934],{},[261,1924,362],{},[261,1926,1927],{},"一站式 Super Agent",[261,1929,1930],{},"画布深度",[261,1932,1933],{},"搜索引用",[261,1935,371],{},[27,1937,377],{"id":377},[42,1939,1940,1946,1952,1958,1964,1970,1976,1982,1988],{},[45,1941,1942,1945],{},[48,1943,1944],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[45,1947,1948,1951],{},[48,1949,1950],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[45,1953,1954,1957],{},[48,1955,1956],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[45,1959,1960,1963],{},[48,1961,1962],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[45,1965,1966,1969],{},[48,1967,1968],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[45,1971,1972,1975],{},[48,1973,1974],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[45,1977,1978,1981],{},[48,1979,1980],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[45,1983,1984,1987],{},[48,1985,1986],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[45,1989,1990,1993],{},[48,1991,1992],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[27,1995,443],{"id":442},[42,1997,1998,2001,2004,2007,2010,2013,2016,2019],{},[45,1999,2000],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[45,2002,2003],{},"✅ Plus $25 重度多模型不限 chat 用户",[45,2005,2006],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[45,2008,2009],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[45,2011,2012],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[45,2014,2015],{},"❌ 学术严谨场景",[45,2017,2018],{},"❌ 预算极紧",[45,2020,2021],{},"❌ 要画布 + 多线程深度（用 Flowith）",[27,2023,472],{"id":472},[42,2025,2026,2030,2034],{},[45,2027,2028],{},[478,2029,1089],{"href":565},[45,2031,2032],{},[478,2033,490],{"href":21},[45,2035,2036],{},[478,2037,485],{"href":18},[27,2039,493],{"id":493},[208,2041,2042,2049,2056,2063],{},[45,2043,2044,2045],{},"Genspark Pricing 官方 ",[478,2046,2047],{"href":2047,"rel":2048},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[503],[45,2050,2051,2052],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[478,2053,2054],{"href":2054,"rel":2055},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[503],[45,2057,2058,2059],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[478,2060,2061],{"href":2061,"rel":2062},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[503],[45,2064,2065,2066],{},"Lindy — Genspark Features 2026 Tested ",[478,2067,2068],{"href":2068,"rel":2069},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[503],{"title":526,"searchDepth":527,"depth":527,"links":2071},[2072,2073,2074,2075,2076,2077,2078,2079,2080,2081],{"id":29,"depth":530,"text":30},{"id":40,"depth":530,"text":40},{"id":108,"depth":530,"text":108},{"id":1703,"depth":530,"text":1704},{"id":206,"depth":530,"text":206},{"id":230,"depth":530,"text":230},{"id":377,"depth":530,"text":377},{"id":442,"depth":530,"text":443},{"id":472,"depth":530,"text":472},{"id":493,"depth":530,"text":493},"\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。",[2085,2088,2091,2094],{"q":2086,"a":2087},"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":2089,"a":2090},"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":2092,"a":2093},"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":2095,"a":2096},"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。",[560,561,562],{},[568,569,2100],"android",[2102,2104,2107],{"plan":115,"price":574,"features":2103,"notes":576},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":1683,"price":352,"features":2105,"notes":2106},"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":121,"price":1913,"features":2108,"notes":2109},"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",[2112],{"name":2113,"url":2114},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":595,"ux":541,"price":527,"cn_support":527,"stability":541},{"title":248,"description":2083},"agent\u002Fgeneral\u002Fgenspark",[2119,2121,2123,2125],{"name":2120,"url":2047,"accessed":601},"Genspark 官网 + Pricing",{"name":2122,"url":2054,"accessed":601},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":2124,"url":2061,"accessed":601},"Rimo — Genspark 2026 + ARR $250M",{"name":2126,"url":2068,"accessed":601},"Lindy — Genspark Features Tested 2026","tools\u002Fagent\u002Fgeneral\u002Fgenspark","Palo Alto 出品的 AI Super Agent——多 Agent 架构 + Sparkpage \u002F Slides \u002F Sites \u002F Video \u002F Call For Me 全栈",[2130,2131,2132,2133,14],"super-agent","multi-agent","sparkpage","call-agent","Super Agent 类目里目前最完整的一站式产品——研究 \u002F 内容 \u002F 建站 \u002F 视频 \u002F 电话调度全包。Plus $25 \u002F 月在重度场景非常划算。要纯研究问答用 Perplexity \u002F ChatGPT 更便宜。","https:\u002F\u002Fgenspark.ai","msB2Gmp0hSoRiCfluF8I7R7lzBx0TE0qU867bIQF6Lo",{"id":2138,"title":2139,"alternatives":2140,"api_compatible":2144,"body":2145,"category":540,"chinese_friendly":541,"cover":3045,"description":3046,"domestic":544,"extension":545,"faq":22,"free":544,"github":22,"languages":3047,"meta":3048,"models":3049,"navigation":564,"notSuitable":3054,"opensource":544,"path":3059,"pillar":566,"platforms":3060,"priceTable":3061,"pricing":3076,"published":3077,"relatedPlaybooks":22,"relatedReviews":22,"score":3078,"self_host":544,"seo":3079,"slug":3080,"sources":3081,"stem":3097,"suitable":3098,"tagline":3104,"tags":3105,"updated":601,"verdict":3111,"website":2530,"__hash__":3112},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[2117,2141,2142,2143],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":24,"value":2146,"toc":3025},[2147,2149,2187,2192,2195,2259,2262,2267,2275,2280,2287,2291,2299,2365,2370,2374,2381,2385,2393,2398,2415,2418,2421,2424,2431,2434,2440,2495,2501,2508,2513,2519,2523,2568,2571,2610,2613,2785,2790,2807,2812,2832,2835,2901,2903,2906,2923,2926,2947,2949,2999,3001,3018],[27,2148,30],{"id":29},[2150,2151,2156,2172],"div",{"className":2152},[2153,2154,2155],"card","p-5","my-4",[32,2157,2158,2161,2162,2165,2166,2171],{},[48,2159,2160],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[48,2163,2164],{},"邀请码一度被炒到 ¥5 万-10 万","（",[478,2167,2170],{"href":2168,"rel":2169},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[503],"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。",[32,2173,2174,2175,2165,2178,2182,2183,2186],{},"2025-12 传被 ",[48,2176,2177],{},"Meta 以约 20-30 亿美元收购",[478,2179,2181],{"href":2168,"rel":2180},[503],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[48,2184,2185],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[136,2188,2189],{},[32,2190,2191],{},"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。",[27,2193,2194],{"id":2194},"背景与公司",[42,2196,2197,2208,2214,2220,2226,2237,2247,2253],{},[45,2198,2199,2202,2203,2207],{},[48,2200,2201],{},"公司","：Butterfly Effect Pte. Ltd.（",[478,2204,2206],{"href":2168,"rel":2205},[503],"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）",[45,2209,2210,2213],{},[48,2211,2212],{},"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）",[45,2215,2216,2219],{},[48,2217,2218],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[45,2221,2222,2225],{},[48,2223,2224],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[45,2227,2228,2231,2232,2236],{},[48,2229,2230],{},"Manus 启动","：2024-10 立项，灵感来自 ",[478,2233,2235],{"href":2234},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[45,2238,2239,2242,2243],{},[48,2240,2241],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[478,2244,2246],{"href":2168,"rel":2245},[503],"Demo 视频 20 小时百万播放",[45,2248,2249,2252],{},[48,2250,2251],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[45,2254,2255,2258],{},[48,2256,2257],{},"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",[27,2260,2261],{"id":2261},"核心特性",[2263,2264,2266],"h3",{"id":2265},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[32,2268,2269,2274],{},[478,2270,2273],{"href":2271,"rel":2272},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[503],"Pick Right 2026-04 评测"," 描述的架构：",[136,2276,2277],{},[32,2278,2279],{},"\"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.\"",[32,2281,2282,2283,2286],{},"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 ",[48,2284,2285],{},"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。",[2263,2288,2290],{"id":2289},"通用-agent-模式","通用 Agent 模式",[32,2292,2293,2298],{},[478,2294,2297],{"href":2295,"rel":2296},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[503],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[232,2300,2301,2311],{},[235,2302,2303],{},[238,2304,2305,2308],{},[241,2306,2307],{},"模型",[241,2309,2310],{},"GAIA 准确率",[256,2312,2313,2325,2333,2341,2349,2357],{},[238,2314,2315,2320],{},[261,2316,2317],{},[48,2318,2319],{},"Manus AI",[261,2321,2322],{},[48,2323,2324],{},">65%（SOTA）",[238,2326,2327,2330],{},[261,2328,2329],{},"H2O.ai (h2oGPTe)",[261,2331,2332],{},"65%",[238,2334,2335,2338],{},[261,2336,2337],{},"Google Langfun",[261,2339,2340],{},"49%",[238,2342,2343,2346],{},[261,2344,2345],{},"Microsoft o1",[261,2347,2348],{},"38%",[238,2350,2351,2354],{},[261,2352,2353],{},"OpenAI GPT-4o",[261,2355,2356],{},"32%",[238,2358,2359,2362],{},[261,2360,2361],{},"OpenAI GPT-4 + Plugins",[261,2363,2364],{},"15-30%",[136,2366,2367],{},[32,2368,2369],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[2263,2371,2373],{"id":2372},"后台执行-长任务","后台执行 + 长任务",[32,2375,2376,2377,2380],{},"最特别的体验：任务下达后",[48,2378,2379],{},"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。",[2263,2382,2384],{"id":2383},"web-app-builder","Web App Builder",[32,2386,2387,2388,2392],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[478,2389,2391],{"href":2271,"rel":2390},[503],"Pick Right 评测"," 直白警告：",[136,2394,2395],{},[32,2396,2397],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[32,2399,2400,2401,2405,2406,2405,2410,2414],{},"复杂场景下出 bug 多，目前不建议生产部署，",[478,2402,2404],{"href":2403},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[478,2407,2409],{"href":2408},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[478,2411,2413],{"href":2412},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[2263,2416,2417],{"id":2417},"桌面应用",[32,2419,2420],{},"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。",[2263,2422,2423],{"id":2423},"多模型路由",[32,2425,2426,2427,2430],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[48,2428,2429],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[27,2432,2433],{"id":2433},"价格与运行成本",[32,2435,2436,2439],{},[478,2437,2391],{"href":2271,"rel":2438},[503]," 公开档位：",[232,2441,2442,2454],{},[235,2443,2444],{},[238,2445,2446,2449,2451],{},[241,2447,2448],{},"档位",[241,2450,108],{},[241,2452,2453],{},"关键点",[256,2455,2456,2465,2474,2484],{},[238,2457,2458,2460,2462],{},[261,2459,115],{},[261,2461,574],{},[261,2463,2464],{},"每日有限 credits，够 1 个高强度任务\u002F天",[238,2466,2467,2469,2471],{},[261,2468,121],{},[261,2470,355],{},[261,2472,2473],{},"大多数付费用户落点；中等 credit + 多模型",[238,2475,2476,2478,2481],{},[261,2477,1683],{},[261,2479,2480],{},"$50\u002F月",[261,2482,2483],{},"更高 credit + 优先队列，10+ 任务\u002F周",[238,2485,2486,2489,2492],{},[261,2487,2488],{},"Pro+ \u002F Team",[261,2490,2491],{},"最高 $200\u002F月",[261,2493,2494],{},"最大 credit + 团队空间（功能仍有限）",[32,2496,2497,2500],{},[48,2498,2499],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[32,2502,2503,2507],{},[478,2504,2506],{"href":2271,"rel":2505},[503],"Pick Right 真实使用反馈","：",[136,2509,2510],{},[32,2511,2512],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[32,2514,2515,2518],{},[48,2516,2517],{},"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。",[27,2520,2522],{"id":2521},"上手-5-分钟","上手 5 分钟",[208,2524,2525,2533,2536,2553,2556,2562,2565],{},[45,2526,2527,2528],{},"打开 ",[478,2529,2532],{"href":2530,"rel":2531},"https:\u002F\u002Fmanus.im",[503],"manus.im",[45,2534,2535],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[45,2537,2538,2539,2542,2543],{},"给一个完整任务描述（",[48,2540,2541],{},"关键","：不要碎片化指令，给全场景）\n",[2544,2545,2550],"pre",{"className":2546,"code":2548,"language":2549},[2547],"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",[2551,2552,2548],"code",{"__ignoreMap":526},[45,2554,2555],{},"选模型路由（Auto 推荐）",[45,2557,2558,2559,2561],{},"提交后",[48,2560,2379],{},"——任务在云端跑",[45,2563,2564],{},"完成后邮件 \u002F 站内通知",[45,2566,2567],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[27,2569,2570],{"id":2570},"国内使用注意事项",[208,2572,2573,2583,2589,2595],{},[45,2574,2575,2507,2578,2582],{},[48,2576,2577],{},"大陆访问被屏蔽",[478,2579,2581],{"href":2168,"rel":2580},[503],"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",[45,2584,2585,2588],{},[48,2586,2587],{},"访问需稳定代理","：日韩 \u002F 美国节点",[45,2590,2591,2594],{},[48,2592,2593],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[45,2596,2597,2600,2601,2604,2605,2609],{},[48,2598,2599],{},"替代路径","：国内可考虑 ",[478,2602,248],{"href":2603},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[478,2606,2608],{"href":2607},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[27,2611,2612],{"id":2612},"与同类怎么选",[232,2614,2615,2639],{},[235,2616,2617],{},[238,2618,2619,2621,2623,2629,2633,2636],{},[241,2620,243],{},[241,2622,2139],{},[241,2624,2625],{},[478,2626,2628],{"href":2627},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[241,2630,2631],{},[478,2632,248],{"href":2603},[241,2634,2635],{},"ChatGPT Deep Research",[241,2637,2638],{},"GenAgent",[256,2640,2641,2660,2680,2699,2714,2730,2747,2765],{},[238,2642,2643,2646,2649,2652,2655,2658],{},[261,2644,2645],{},"核心定位",[261,2647,2648],{},"通用 Agent",[261,2650,2651],{},"AI 程序员",[261,2653,2654],{},"AI 搜索 + Agent",[261,2656,2657],{},"LLM Deep Research",[261,2659,371],{},[238,2661,2662,2665,2668,2671,2674,2677],{},[261,2663,2664],{},"架构",[261,2666,2667],{},"多 sub-agent 并行",[261,2669,2670],{},"单 Agent + 沙盒",[261,2672,2673],{},"多模型",[261,2675,2676],{},"单模型",[261,2678,2679],{},"—",[238,2681,2682,2685,2688,2691,2694,2697],{},[261,2683,2684],{},"长任务",[261,2686,2687],{},"★★★★★ 小时级",[261,2689,2690],{},"★★★★★",[261,2692,2693],{},"★★★☆☆",[261,2695,2696],{},"★★★★☆",[261,2698,2693],{},[238,2700,2701,2704,2706,2708,2710,2712],{},[261,2702,2703],{},"引用密度",[261,2705,2690],{},[261,2707,2693],{},[261,2709,2696],{},[261,2711,2693],{},[261,2713,2693],{},[238,2715,2716,2719,2722,2724,2726,2728],{},[261,2717,2718],{},"App Builder",[261,2720,2721],{},"⚠️ 有但 buggy",[261,2723,963],{},[261,2725,963],{},[261,2727,963],{},[261,2729,963],{},[238,2731,2732,2735,2738,2741,2743,2745],{},[261,2733,2734],{},"中文",[261,2736,2737],{},"⚠️ 大陆屏蔽",[261,2739,2740],{},"⚠️",[261,2742,2690],{},[261,2744,2740],{},[261,2746,2696],{},[238,2748,2749,2751,2754,2757,2760,2763],{},[261,2750,108],{},[261,2752,2753],{},"$20-$200",[261,2755,2756],{},"$500\u002F月",[261,2758,2759],{},"$24.99\u002F月",[261,2761,2762],{},"随 ChatGPT Plus",[261,2764,2679],{},[238,2766,2767,2770,2773,2776,2779,2782],{},[261,2768,2769],{},"适合场景",[261,2771,2772],{},"research \u002F 数据分析",[261,2774,2775],{},"写代码 \u002F 修 bug",[261,2777,2778],{},"信息检索",[261,2780,2781],{},"单次深度研究",[261,2783,2784],{},"综合",[32,2786,2787,2507],{},[48,2788,2789],{},"选 Manus 如果你",[42,2791,2792,2798,2801,2804],{},[45,2793,2794,2795],{},"重视 research \u002F 数据分析任务的 ",[48,2796,2797],{},"引用密度和结构化输出",[45,2799,2800],{},"想试\"开任务下班、明早看结果\"的工作流",[45,2802,2803],{},"海外 \u002F 能解决账号网络问题",[45,2805,2806],{},"预算 $20-$50\u002F月，重度用户",[32,2808,2809,2507],{},[48,2810,2811],{},"别选 Manus 如果你",[42,2813,2814,2823,2826,2829],{},[45,2815,2816,2817,2405,2819,2822],{},"国内裸用（",[478,2818,248],{"href":2603},[478,2820,2821],{"href":2607},"Yuanbao"," 更顺）",[45,2824,2825],{},"想生产部署 App（Web App Builder bug 多）",[45,2827,2828],{},"团队协作场景（功能不完善）",[45,2830,2831],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[27,2833,2834],{"id":2834},"避坑清单",[42,2836,2837,2843,2853,2859,2865,2877,2883,2889],{},[45,2838,2839,2842],{},[48,2840,2841],{},"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",[45,2844,2845,2507,2848,2852],{},[48,2846,2847],{},"credit 烧得比官方页面暗示的快",[478,2849,2851],{"href":2271,"rel":2850},[503],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[45,2854,2855,2858],{},[48,2856,2857],{},"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",[45,2860,2861,2864],{},[48,2862,2863],{},"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",[45,2866,2867,2870,2871,2876],{},[48,2868,2869],{},"每次任务从零开始","：没有持久 workspace，不像 ",[478,2872,2875],{"href":2873,"rel":2874},"https:\u002F\u002Fclaude.com",[503],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[45,2878,2879,2882],{},[48,2880,2881],{},"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",[45,2884,2885,2888],{},[48,2886,2887],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[45,2890,2891,2894,2895,2900],{},[48,2892,2893],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[478,2896,2899],{"href":2897,"rel":2898},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[503],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[27,2902,443],{"id":442},[32,2904,2905],{},"✅ 适合：",[42,2907,2908,2911,2914,2917,2920],{},[45,2909,2910],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[45,2912,2913],{},"CSV \u002F Excel 重的数据分析任务",[45,2915,2916],{},"长任务 + 不想盯着看（小时级）",[45,2918,2919],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[45,2921,2922],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[32,2924,2925],{},"❌ 不适合：",[42,2927,2928,2931,2934,2937,2940],{},[45,2929,2930],{},"生产级应用部署",[45,2932,2933],{},"团队协作工作流",[45,2935,2936],{},"预算极敏感（free 档非常受限）",[45,2938,2939],{},"大陆稳定访问需求",[45,2941,2942,2943,2946],{},"需要深度持久上下文（用 ",[478,2944,2875],{"href":2873,"rel":2945},[503]," \u002F ChatGPT Custom GPT 等）",[27,2948,472],{"id":472},[42,2950,2951,2962,2973,2988],{},[45,2952,2953,2954,2405,2956,2958,2959,2961],{},"同类对比：",[478,2955,2628],{"href":2627},[478,2957,248],{"href":2603}," \u002F Elicit \u002F ",[478,2960,2821],{"href":2607}," \u002F Metaso",[45,2963,2964,2965,2405,2969,2972],{},"概念：",[478,2966,2968],{"href":2967},"\u002Fwiki\u002Fai-agent.html","AI Agent",[478,2970,2971],{"href":2967},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[45,2974,2975,2976,2405,2980,2405,2984],{},"模型：",[478,2977,2979],{"href":2978},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[478,2981,2983],{"href":2982},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[478,2985,2987],{"href":2986},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[45,2989,2990,2991,2405,2995],{},"进阶：",[478,2992,2994],{"href":2993},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[478,2996,2998],{"href":2997},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[27,3000,493],{"id":493},[42,3002,3003,3009,3012,3015],{},[45,3004,3005,3006],{},"官网：",[478,3007,2530],{"href":2530,"rel":3008},[503],[45,3010,3011],{},"Wikipedia：\"Manus (AI agent)\" 条目",[45,3013,3014],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[45,3016,3017],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[32,3019,3020,3021,3024],{},"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 ",[478,3022,3023],{"href":3023},"\u002Fsubmit"," 反馈。",{"title":526,"searchDepth":527,"depth":527,"links":3026},[3027,3028,3029,3037,3038,3039,3040,3041,3042,3043,3044],{"id":29,"depth":530,"text":30},{"id":2194,"depth":530,"text":2194},{"id":2261,"depth":530,"text":2261,"children":3030},[3031,3032,3033,3034,3035,3036],{"id":2265,"depth":527,"text":2266},{"id":2289,"depth":527,"text":2290},{"id":2372,"depth":527,"text":2373},{"id":2383,"depth":527,"text":2384},{"id":2417,"depth":527,"text":2417},{"id":2423,"depth":527,"text":2423},{"id":2433,"depth":530,"text":2433},{"id":2521,"depth":530,"text":2522},{"id":2570,"depth":530,"text":2570},{"id":2612,"depth":530,"text":2612},{"id":2834,"depth":530,"text":2834},{"id":442,"depth":530,"text":443},{"id":472,"depth":530,"text":472},{"id":493,"depth":530,"text":493},"\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。",[561,560],{},[3050,3051,3052,3053],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[3055,3056,3057,3058],"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",[568,1153,1152,1154],[3062,3065,3069,3072],{"plan":115,"price":574,"limit":3063,"cn_pay":2679,"note":3064},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":121,"price":355,"limit":3066,"cn_pay":3067,"note":3068},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":1683,"price":2480,"limit":3070,"cn_pay":2740,"note":3071},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":3073,"price":1920,"limit":3074,"cn_pay":2740,"note":3075},"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":595,"ux":595,"price":527,"cn_support":541,"stability":527},{"title":2139,"description":3046},"agent\u002Fgeneral\u002Fmanus",[3082,3084,3087,3089,3091,3094],{"title":3083,"url":2530},"Manus 官网",{"title":3085,"url":3086},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":3088,"url":2271},"Manus AI Review 2026 (Pick Right)",{"title":3090,"url":2295},"Info-Tech Manus Assessment",{"title":3092,"url":3093},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":3095,"url":3096},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[3099,3100,3101,3102,3103],"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",[3106,3107,3108,2131,3109,3110],"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":3114,"title":3115,"alternatives":3116,"api_compatible":22,"body":3126,"category":540,"chinese_friendly":527,"cover":3643,"description":3644,"domestic":544,"extension":545,"faq":3645,"free":544,"github":22,"languages":3657,"meta":3658,"models":22,"navigation":564,"notSuitable":22,"opensource":544,"path":3659,"pillar":566,"platforms":3660,"priceTable":3661,"pricing":3677,"published":589,"relatedPlaybooks":3678,"relatedReviews":22,"score":3682,"self_host":564,"seo":3683,"slug":3684,"sources":3685,"stem":3694,"suitable":22,"tagline":3695,"tags":3696,"updated":601,"verdict":3699,"website":3700,"__hash__":3701},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[3117,3120,3123],{"name":3118,"url":3119},"ollama","\u002Ftools\u002Fcoding\u002Flocal\u002Follama",{"name":3121,"url":3122},"lm-studio","\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio",{"name":3124,"url":3125},"open-webui","\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",{"type":24,"value":3127,"toc":3631},[3128,3130,3133,3136,3138,3212,3214,3239,3244,3248,3252,3278,3282,3308,3310,3333,3335,3495,3497,3552,3554,3580,3582,3599,3601],[27,3129,30],{"id":29},[32,3131,3132],{},"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。",[32,3134,3135],{},"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）。",[27,3137,40],{"id":40},[42,3139,3140,3146,3152,3158,3164,3170,3176,3182,3188,3194,3200,3206],{},[45,3141,3142,3145],{},[48,3143,3144],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[45,3147,3148,3151],{},[48,3149,3150],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[45,3153,3154,3157],{},[48,3155,3156],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[45,3159,3160,3163],{},[48,3161,3162],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[45,3165,3166,3169],{},[48,3167,3168],{},"Prompt Studio","：变量 + 模板 + 测试",[45,3171,3172,3175],{},[48,3173,3174],{},"Persona Studio","：自定义角色 + 工具 + context",[45,3177,3178,3181],{},[48,3179,3180],{},"Skills Studio","：可复用能力包",[45,3183,3184,3187],{},[48,3185,3186],{},"Agent Mode","：多步执行 + 工具调用",[45,3189,3190,3193],{},[48,3191,3192],{},"Flowchart 对话","：分支可视化",[45,3195,3196,3199],{},[48,3197,3198],{},"Real-time 数据","：实时 web fetch",[45,3201,3202,3205],{},[48,3203,3204],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[45,3207,3208,3211],{},[48,3209,3210],{},"Cloud Sync","（Aurum）：跨设备同步对话",[27,3213,108],{"id":108},[42,3215,3216,3221,3227,3233],{},[45,3217,3218,3220],{},[48,3219,115],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[45,3222,3223,3226],{},[48,3224,3225],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[45,3228,3229,3232],{},[48,3230,3231],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[45,3234,3235,3238],{},[48,3236,3237],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[136,3240,3241],{},[32,3242,3243],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[27,3245,3247],{"id":3246},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[32,3249,3250],{},[48,3251,149],{},[42,3253,3254,3257,3260,3263,3266,3269,3272,3275],{},[45,3255,3256],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[45,3258,3259],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[45,3261,3262],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[45,3264,3265],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[45,3267,3268],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[45,3270,3271],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[45,3273,3274],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[45,3276,3277],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[32,3279,3280],{},[48,3281,177],{},[42,3283,3284,3287,3290,3293,3296,3299,3302,3305],{},[45,3285,3286],{},"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",[45,3288,3289],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[45,3291,3292],{},"桌面 only，无 iOS \u002F Android",[45,3294,3295],{},"llama.cpp 更新滞后官方上游 1-2 版本",[45,3297,3298],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[45,3300,3301],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[45,3303,3304],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[45,3306,3307],{},"中文 UI 不完整，部分功能仍是英文",[27,3309,206],{"id":206},[208,3311,3312,3315,3318,3321,3324,3327,3330],{},[45,3313,3314],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[45,3316,3317],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[45,3319,3320],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[45,3322,3323],{},"加云模型：OpenAI Key + Anthropic Key",[45,3325,3326],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[45,3328,3329],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[45,3331,3332],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[27,3334,230],{"id":230},[232,3336,3337,3354],{},[235,3338,3339],{},[238,3340,3341,3343,3345,3348,3351],{},[241,3342,243],{},[241,3344,3115],{},[241,3346,3347],{},"Ollama",[241,3349,3350],{},"LM Studio",[241,3352,3353],{},"Jan",[256,3355,3356,3371,3386,3399,3411,3424,3438,3453,3465,3479],{},[238,3357,3358,3361,3364,3367,3369],{},[261,3359,3360],{},"GUI",[261,3362,3363],{},"✅ 颜值高",[261,3365,3366],{},"❌ CLI",[261,3368,873],{},[261,3370,873],{},[238,3372,3373,3376,3379,3381,3384],{},[261,3374,3375],{},"本地引擎",[261,3377,3378],{},"MLX\u002Fllama.cpp\u002FOllama",[261,3380,3347],{},[261,3382,3383],{},"llama.cpp",[261,3385,3383],{},[238,3387,3388,3391,3393,3395,3397],{},[261,3389,3390],{},"云模型",[261,3392,873],{},[261,3394,963],{},[261,3396,963],{},[261,3398,922],{},[238,3400,3401,3403,3405,3407,3409],{},[261,3402,3156],{},[261,3404,925],{},[261,3406,963],{},[261,3408,922],{},[261,3410,336],{},[238,3412,3413,3415,3418,3420,3422],{},[261,3414,3162],{},[261,3416,3417],{},"✅ per-conv",[261,3419,963],{},[261,3421,963],{},[261,3423,922],{},[238,3425,3426,3429,3432,3434,3436],{},[261,3427,3428],{},"Studios",[261,3430,3431],{},"✅ Prompt\u002FPersona\u002FSkills",[261,3433,336],{},[261,3435,336],{},[261,3437,336],{},[238,3439,3440,3443,3445,3448,3450],{},[261,3441,3442],{},"开源",[261,3444,963],{},[261,3446,3447],{},"✅ MIT",[261,3449,963],{},[261,3451,3452],{},"✅ Apache 2.0",[238,3454,3455,3457,3459,3461,3463],{},[261,3456,346],{},[261,3458,574],{},[261,3460,574],{},[261,3462,574],{},[261,3464,574],{},[238,3466,3467,3470,3473,3475,3477],{},[261,3468,3469],{},"终身",[261,3471,3472],{},"$349",[261,3474,336],{},[261,3476,336],{},[261,3478,336],{},[238,3480,3481,3483,3486,3489,3492],{},[261,3482,362],{},[261,3484,3485],{},"桌面颜值 + 多模型",[261,3487,3488],{},"CLI \u002F Server",[261,3490,3491],{},"模型市场",[261,3493,3494],{},"严格开源",[27,3496,377],{"id":377},[42,3498,3499,3505,3511,3517,3523,3529,3535,3541,3547],{},[45,3500,3501,3504],{},[48,3502,3503],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[45,3506,3507,3510],{},[48,3508,3509],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[45,3512,3513,3516],{},[48,3514,3515],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[45,3518,3519,3522],{},[48,3520,3521],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[45,3524,3525,3528],{},[48,3526,3527],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[45,3530,3531,3534],{},[48,3532,3533],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[45,3536,3537,3540],{},[48,3538,3539],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[45,3542,3543,3546],{},[48,3544,3545],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[45,3548,3549,3551],{},[48,3550,1042],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[27,3553,443],{"id":442},[42,3555,3556,3559,3562,3565,3568,3571,3574,3577],{},[45,3557,3558],{},"✅ 隐私敏感 + 数据零云",[45,3560,3561],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[45,3563,3564],{},"✅ 不愿学 Ollama CLI 的非工程师",[45,3566,3567],{},"✅ 多模型对比决策场景",[45,3569,3570],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[45,3572,3573],{},"❌ 要 mobile 移动主力",[45,3575,3576],{},"❌ 团队协作 + 共享 workspace",[45,3578,3579],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[27,3581,472],{"id":472},[42,3583,3584,3589,3594],{},[45,3585,3586],{},[478,3587,3588],{"href":3119},"Ollama 评测",[45,3590,3591],{},[478,3592,3593],{"href":3122},"LM Studio 评测",[45,3595,3596],{},[478,3597,3598],{"href":3125},"Open WebUI 评测",[27,3600,493],{"id":493},[208,3602,3603,3610,3617,3624],{},[45,3604,3605,3606],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[478,3607,3608],{"href":3608,"rel":3609},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[503],[45,3611,3612,3613],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[478,3614,3615],{"href":3615,"rel":3616},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[503],[45,3618,3619,3620],{},"ML Journey — Msty Multi-model Comparison Guide ",[478,3621,3622],{"href":3622,"rel":3623},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[503],[45,3625,3626,3627],{},"AISO Tools — Msty Pricing 2026 ",[478,3628,3629],{"href":3629,"rel":3630},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[503],{"title":526,"searchDepth":527,"depth":527,"links":3632},[3633,3634,3635,3636,3637,3638,3639,3640,3641,3642],{"id":29,"depth":530,"text":30},{"id":40,"depth":530,"text":40},{"id":108,"depth":530,"text":108},{"id":3246,"depth":530,"text":3247},{"id":206,"depth":530,"text":206},{"id":230,"depth":530,"text":230},{"id":377,"depth":530,"text":377},{"id":442,"depth":530,"text":443},{"id":472,"depth":530,"text":472},{"id":493,"depth":530,"text":493},"\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。",[3646,3649,3652,3655],{"q":3647,"a":3648},"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":3650,"a":3651},"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":3653,"a":3654},"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":1147,"a":3656},"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。",[560,562],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[1152,1153,1154,568],[3662,3665,3669,3673],{"plan":115,"price":574,"features":3663,"notes":3664},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":3225,"price":3666,"features":3667,"notes":3668},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":3231,"price":3670,"features":3671,"notes":3672},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":3237,"price":3674,"features":3675,"notes":3676},"$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",[3679],{"name":3680,"url":3681},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":541,"ux":595,"price":595,"cn_support":527,"stability":541},{"title":3115,"description":3644},"agent\u002Fgeneral\u002Fmsty",[3686,3688,3690,3692],{"name":3687,"url":3608,"accessed":601},"Msty 官网 + Features",{"name":3689,"url":3615,"accessed":601},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":3691,"url":3622,"accessed":601},"ML Journey — Msty Local LLM Comparison Guide",{"name":3693,"url":3629,"accessed":601},"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",[3697,612,1189,614,3698],"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":3703,"title":3704,"alternatives":3705,"api_compatible":22,"body":3715,"category":540,"chinese_friendly":541,"cover":4373,"description":4374,"domestic":544,"extension":545,"faq":4375,"free":544,"github":22,"languages":4388,"meta":4389,"models":22,"navigation":564,"notSuitable":22,"opensource":564,"path":4390,"pillar":566,"platforms":4391,"priceTable":4393,"pricing":4397,"published":589,"relatedPlaybooks":4398,"relatedReviews":22,"score":4402,"self_host":564,"seo":4403,"slug":4404,"sources":4405,"stem":4414,"suitable":22,"tagline":4415,"tags":4416,"updated":601,"verdict":4422,"website":4334,"__hash__":4423},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[3706,3709,3712],{"name":3707,"url":3708},"langflow","\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",{"name":3710,"url":3711},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":3713,"url":3714},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"type":24,"value":3716,"toc":4361},[3717,3719,3726,3729,3731,3807,3809,3826,3830,3834,3860,3864,3890,3892,4042,4045,4051,4053,4218,4220,4278,4280,4306,4308,4325,4327,4357],[27,3718,30],{"id":29},[32,3720,3721,3722,3725],{},"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（",[2551,3723,3724],{},"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。",[32,3727,3728],{},"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）。",[27,3730,40],{"id":40},[42,3732,3733,3741,3747,3753,3759,3765,3771,3777,3783,3789,3795,3801],{},[45,3734,3735,2507,3738,3740],{},[48,3736,3737],{},"多 agent orchestration",[2551,3739,3724],{}," 编排多个专门 agent 协作",[45,3742,3743,3746],{},[48,3744,3745],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[45,3748,3749,3752],{},[48,3750,3751],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[45,3754,3755,3758],{},[48,3756,3757],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[45,3760,3761,3764],{},[48,3762,3763],{},"OpenManus-RL","：强化学习微调分支",[45,3766,3767,3770],{},[48,3768,3769],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[45,3772,3773,3776],{},[48,3774,3775],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[45,3778,3779,3782],{},[48,3780,3781],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[45,3784,3785,3788],{},[48,3786,3787],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[45,3790,3791,3794],{},[48,3792,3793],{},"Web UI 监控","：实时看 AI thinking process",[45,3796,3797,3800],{},[48,3798,3799],{},"任务可视化","：步骤拆解 + 执行树",[45,3802,3803,3806],{},[48,3804,3805],{},"MIT 协议","：个人 + 商用全免费",[27,3808,108],{"id":108},[42,3810,3811,3817,3820,3823],{},[45,3812,3813,3816],{},[48,3814,3815],{},"Free \u002F OSS","：$0；MIT 协议",[45,3818,3819],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[45,3821,3822],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[45,3824,3825],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[27,3827,3829],{"id":3828},"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）",[32,3831,3832],{},[48,3833,149],{},[42,3835,3836,3839,3842,3845,3848,3851,3854,3857],{},[45,3837,3838],{},"52k stars 印证社区认同度 + 活跃度",[45,3840,3841],{},"MetaGPT 团队背景保证架构质量",[45,3843,3844],{},"多 agent 协作场景比单 agent 实现稳得多",[45,3846,3847],{},"Playwright 浏览器自动化非常完整",[45,3849,3850],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[45,3852,3853],{},"DataAnalysis 内置 agent 模式开箱即用",[45,3855,3856],{},"中文支持自然（Qwen VL Plus 接入）",[45,3858,3859],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[32,3861,3862],{},[48,3863,177],{},[42,3865,3866,3869,3872,3875,3878,3881,3884,3887],{},[45,3867,3868],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[45,3870,3871],{},"文档滞后新功能 1-2 个月",[45,3873,3874],{},"无官方 GUI，监控 UI 在做但不完整",[45,3876,3877],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[45,3879,3880],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[45,3882,3883],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[45,3885,3886],{},"中文 prompt 效果依赖底层模型",[45,3888,3889],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[27,3891,206],{"id":206},[2544,3893,3897],{"className":3894,"code":3895,"language":3896,"meta":526,"style":526},"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",[2551,3898,3899,3915,3924,3952,3966,3976,3982,3987,3998,4004,4008,4014,4023,4028,4034],{"__ignoreMap":526},[3900,3901,3904,3908,3912],"span",{"class":3902,"line":3903},"line",1,[3900,3905,3907],{"class":3906},"sScJk","git",[3900,3909,3911],{"class":3910},"sZZnC"," clone",[3900,3913,3914],{"class":3910}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[3900,3916,3917,3921],{"class":3902,"line":530},[3900,3918,3920],{"class":3919},"sj4cs","cd",[3900,3922,3923],{"class":3910}," OpenManus\n",[3900,3925,3926,3929,3932,3935,3938,3942,3945,3948],{"class":3902,"line":527},[3900,3927,3928],{"class":3906},"python3.12",[3900,3930,3931],{"class":3919}," -m",[3900,3933,3934],{"class":3910}," venv",[3900,3936,3937],{"class":3910}," .venv",[3900,3939,3941],{"class":3940},"sVt8B"," && ",[3900,3943,3944],{"class":3919},"source",[3900,3946,3947],{"class":3910}," .venv\u002Fbin\u002Factivate",[3900,3949,3951],{"class":3950},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[3900,3953,3954,3957,3960,3963],{"class":3902,"line":541},[3900,3955,3956],{"class":3906},"pip",[3900,3958,3959],{"class":3910}," install",[3900,3961,3962],{"class":3919}," -r",[3900,3964,3965],{"class":3910}," requirements.txt\n",[3900,3967,3968,3971,3973],{"class":3902,"line":595},[3900,3969,3970],{"class":3906},"playwright",[3900,3972,3959],{"class":3910},[3900,3974,3975],{"class":3910}," chromium\n",[3900,3977,3979],{"class":3902,"line":3978},6,[3900,3980,3981],{"emptyLinePlaceholder":564},"\n",[3900,3983,3984],{"class":3902,"line":5},[3900,3985,3986],{"class":3950},"# 配 LLM API\n",[3900,3988,3989,3992,3995],{"class":3902,"line":8},[3900,3990,3991],{"class":3906},"cp",[3900,3993,3994],{"class":3910}," config\u002Fconfig.example.toml",[3900,3996,3997],{"class":3910}," config\u002Fconfig.toml\n",[3900,3999,4001],{"class":3902,"line":4000},9,[3900,4002,4003],{"class":3950},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[3900,4005,4006],{"class":3902,"line":7},[3900,4007,3981],{"emptyLinePlaceholder":564},[3900,4009,4011],{"class":3902,"line":4010},11,[3900,4012,4013],{"class":3950},"# 单 agent 模式\n",[3900,4015,4017,4020],{"class":3902,"line":4016},12,[3900,4018,4019],{"class":3906},"python",[3900,4021,4022],{"class":3910}," main.py\n",[3900,4024,4026],{"class":3902,"line":4025},13,[3900,4027,3981],{"emptyLinePlaceholder":564},[3900,4029,4031],{"class":3902,"line":4030},14,[3900,4032,4033],{"class":3950},"# 多 agent 模式\n",[3900,4035,4037,4039],{"class":3902,"line":4036},15,[3900,4038,4019],{"class":3906},[3900,4040,4041],{"class":3910}," run_flow.py\n",[32,4043,4044],{},"试任务示例：",[2544,4046,4049],{"className":4047,"code":4048,"language":2549},[2547],"> 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",[2551,4050,4048],{"__ignoreMap":526},[27,4052,230],{"id":230},[232,4054,4055,4072],{},[235,4056,4057],{},[238,4058,4059,4061,4063,4066,4069],{},[241,4060,243],{},[241,4062,3704],{},[241,4064,4065],{},"LangChain",[241,4067,4068],{},"AutoGPT",[241,4070,4071],{},"CrewAI",[256,4073,4074,4090,4104,4116,4131,4144,4158,4172,4189,4202],{},[238,4075,4076,4078,4081,4084,4087],{},[261,4077,263],{},[261,4079,4080],{},"现成 agent 实现",[261,4082,4083],{},"building blocks",[261,4085,4086],{},"早期通用 agent",[261,4088,4089],{},"多 agent 框架",[238,4091,4092,4095,4098,4100,4102],{},[261,4093,4094],{},"浏览器自动化",[261,4096,4097],{},"✅ Playwright",[261,4099,336],{},[261,4101,922],{},[261,4103,336],{},[238,4105,4106,4108,4110,4112,4114],{},[261,4107,917],{},[261,4109,873],{},[261,4111,922],{},[261,4113,336],{},[261,4115,336],{},[238,4117,4118,4121,4124,4127,4129],{},[261,4119,4120],{},"多 agent",[261,4122,4123],{},"✅ orchestration",[261,4125,4126],{},"需自搭",[261,4128,963],{},[261,4130,925],{},[238,4132,4133,4136,4138,4140,4142],{},[261,4134,4135],{},"DataAnalysis 内置",[261,4137,873],{},[261,4139,336],{},[261,4141,336],{},[261,4143,336],{},[238,4145,4146,4149,4152,4154,4156],{},[261,4147,4148],{},"RL 微调",[261,4150,4151],{},"✅ OpenManus-RL",[261,4153,336],{},[261,4155,336],{},[261,4157,336],{},[238,4159,4160,4163,4166,4168,4170],{},[261,4161,4162],{},"协议",[261,4164,4165],{},"MIT",[261,4167,4165],{},[261,4169,4165],{},[261,4171,4165],{},[238,4173,4174,4177,4180,4183,4186],{},[261,4175,4176],{},"Stars",[261,4178,4179],{},"52k+",[261,4181,4182],{},"100k+",[261,4184,4185],{},"170k+",[261,4187,4188],{},"30k+",[238,4190,4191,4193,4195,4198,4200],{},[261,4192,206],{},[261,4194,1886],{},[261,4196,4197],{},"难",[261,4199,1886],{},[261,4201,1886],{},[238,4203,4204,4206,4209,4212,4215],{},[261,4205,362],{},[261,4207,4208],{},"自托管 Manus 复刻",[261,4210,4211],{},"底层 framework",[261,4213,4214],{},"学习经典",[261,4216,4217],{},"多 agent 协作",[27,4219,377],{"id":377},[42,4221,4222,4228,4238,4244,4250,4256,4262,4268,4272],{},[45,4223,4224,4227],{},[48,4225,4226],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[45,4229,4230,4233,4234,4237],{},[48,4231,4232],{},"Playwright 依赖大","：首次 ",[2551,4235,4236],{},"playwright install"," 下 chromium 慢，国内走镜像",[45,4239,4240,4243],{},[48,4241,4242],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[45,4245,4246,4249],{},[48,4247,4248],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[45,4251,4252,4255],{},[48,4253,4254],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[45,4257,4258,4261],{},[48,4259,4260],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[45,4263,4264,4267],{},[48,4265,4266],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[45,4269,4270,1043],{},[48,4271,1042],{},[45,4273,4274,4277],{},[48,4275,4276],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[27,4279,443],{"id":442},[42,4281,4282,4285,4288,4291,4294,4297,4300,4303],{},[45,4283,4284],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[45,4286,4287],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[45,4289,4290],{},"✅ 隐私敏感 + 不愿数据上商业云",[45,4292,4293],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[45,4295,4296],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[45,4298,4299],{},"❌ 要 GUI \u002F 上手即用",[45,4301,4302],{},"❌ 生产级稳定（文档滞后 + 演进快）",[45,4304,4305],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[27,4307,472],{"id":472},[42,4309,4310,4315,4320],{},[45,4311,4312],{},[478,4313,4314],{"href":3708},"Langflow 评测",[45,4316,4317],{},[478,4318,4319],{"href":3711},"n8n 评测",[45,4321,4322],{},[478,4323,4324],{"href":3714},"Composio 评测",[27,4326,493],{"id":493},[208,4328,4329,4336,4343,4350],{},[45,4330,4331,4332],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[478,4333,4334],{"href":4334,"rel":4335},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[503],[45,4337,4338,4339],{},"Foundation Agents — OpenManus 项目介绍 ",[478,4340,4341],{"href":4341,"rel":4342},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[503],[45,4344,4345,4346],{},"Toolsverse — OpenManus 评测 + 52k stars ",[478,4347,4348],{"href":4348,"rel":4349},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[503],[45,4351,4352,4353],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[478,4354,4355],{"href":4355,"rel":4356},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[503],[4358,4359,4360],"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":526,"searchDepth":527,"depth":527,"links":4362},[4363,4364,4365,4366,4367,4368,4369,4370,4371,4372],{"id":29,"depth":530,"text":30},{"id":40,"depth":530,"text":40},{"id":108,"depth":530,"text":108},{"id":3828,"depth":530,"text":3829},{"id":206,"depth":530,"text":206},{"id":230,"depth":530,"text":230},{"id":377,"depth":530,"text":377},{"id":442,"depth":530,"text":443},{"id":472,"depth":530,"text":472},{"id":493,"depth":530,"text":493},"\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。",[4376,4379,4382,4385],{"q":4377,"a":4378},"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":4380,"a":4381},"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":4383,"a":4384},"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":4386,"a":4387},"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。",[560,561,562],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[1154,1152,1153,4392],"docker",[4394],{"plan":3815,"price":574,"features":4395,"notes":4396},"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）",[4399],{"name":4400,"url":4401},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":595,"ux":527,"price":595,"cn_support":541,"stability":527},{"title":3704,"description":4374},"agent\u002Fgeneral\u002Fopenmanus",[4406,4408,4410,4412],{"name":4407,"url":4334,"accessed":601},"OpenManus GitHub（FoundationAgents 组织）",{"name":4409,"url":4341,"accessed":601},"Foundation Agents — OpenManus 项目介绍",{"name":4411,"url":4348,"accessed":601},"Toolsverse — OpenManus 评测 + 52k stars",{"name":4413,"url":4355,"accessed":601},"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",[4417,2131,4418,4419,4420,4421],"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",[],1782316490361]