[{"data":1,"prerenderedAt":4037},["ShallowReactive",2],{"tool-tools\u002Fagent\u002Fgeneral":3,"header-counts":4,"footer-counts":7,"tools-agent-general":10},null,{"tools":5,"reviews":6},65,7,{"tools":5,"reviews":6,"playbooks":8,"news":9},10,8,[11,637,1191,1750,2726,3315],{"id":12,"title":13,"alternatives":14,"api_compatible":3,"body":24,"category":565,"chinese_friendly":552,"cover":566,"description":567,"domestic":568,"extension":569,"faq":570,"free":568,"github":3,"languages":583,"meta":585,"models":3,"navigation":586,"notSuitable":3,"opensource":568,"path":587,"pillar":588,"platforms":589,"priceTable":593,"pricing":606,"published":607,"relatedPlaybooks":608,"relatedReviews":3,"score":612,"self_host":568,"seo":615,"slug":616,"sources":617,"stem":626,"suitable":3,"tagline":627,"tags":628,"updated":619,"verdict":634,"website":635,"__hash__":636},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[15,18,21],{"name":16,"url":17},"claude-desktop","\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",{"name":19,"url":20},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":22,"url":23},"flowith","\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith",{"type":25,"value":26,"toc":550},"minimark",[27,32,36,39,42,113,116,139,145,149,154,177,182,208,211,235,238,406,409,465,469,495,498,516,519],[28,29,31],"h2",{"id":30},"tldr","TL;DR",[33,34,35],"p",{},"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。",[33,37,38],{},"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。",[28,40,41],{"id":41},"核心能力",[43,44,45,53,59,65,71,77,83,89,95,101,107],"ul",{},[46,47,48,52],"li",{},[49,50,51],"strong",{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[46,54,55,58],{},[49,56,57],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[46,60,61,64],{},[49,62,63],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[46,66,67,70],{},[49,68,69],{},"200+ Skills","：power user 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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。",[28,146,148],{"id":147},"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）",[33,150,151],{},[49,152,153],{},"亮点：",[43,155,156,159,162,165,168,171,174],{},[46,157,158],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[46,160,161],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[46,163,164],{},"50+ Assistants 节省 prompt engineering 时间",[46,166,167],{},"数据本地 + 无 telemetry，隐私党非常友好",[46,169,170],{},"一次买断 vs 多家月费的累计性价比高",[46,172,173],{},"BYO API 让账单透明，不会有平台抽成",[46,175,176],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[33,178,179],{},[49,180,181],{},"踩坑：",[43,183,184,187,190,193,196,199,202,205],{},[46,185,186],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[46,188,189],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[46,191,192],{},"移动端缺失，出门用不上",[46,194,195],{},"Linux 版本更新偶尔比 macOS 慢",[46,197,198],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[46,200,201],{},"50+ Assistants 质量参差，要挑高赞的用",[46,203,204],{},"团队协作 \u002F 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",[503,547,548],{"href":548,"rel":549},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[528],{"title":551,"searchDepth":552,"depth":552,"links":553},"",3,[554,556,557,558,559,560,561,562,563,564],{"id":30,"depth":555,"text":31},2,{"id":41,"depth":555,"text":41},{"id":115,"depth":555,"text":115},{"id":147,"depth":555,"text":148},{"id":210,"depth":555,"text":210},{"id":237,"depth":555,"text":237},{"id":408,"depth":555,"text":408},{"id":467,"depth":555,"text":468},{"id":497,"depth":555,"text":497},{"id":518,"depth":555,"text":518},"general","\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。",false,"md",[571,574,577,580],{"q":572,"a":573},"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":575,"a":576},"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":578,"a":579},"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":581,"a":582},"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。",[584],"en",{},true,"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice","agent",[590,591,592],"macos","windows","linux",[594,598,602],{"plan":122,"price":595,"features":596,"notes":597},"$0 · 3 周","完整功能体验","无信用卡",{"plan":128,"price":599,"features":600,"notes":601},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":134,"price":603,"features":604,"notes":605},"~$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","2026-06-19",[609],{"name":610,"url":611},"macOS 全局 AI 工作流","\u002Fplaybook\u002Fonboarding\u002Fmacos-global-ai-workflow",{"power":613,"ux":614,"price":613,"cn_support":552,"stability":613},4,5,{"title":13,"description":567},"agent\u002Fgeneral\u002Falice",[618,620,622,624],{"name":523,"url":526,"accessed":619},"2026-06-24",{"name":621,"url":534,"accessed":619},"Comparateur-IA — Alice AI 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Team。","https:\u002F\u002Fheyalice.app","D4cSWts4Gbjfw2LPLECK9ae_inIY-gb4mF5L0saydBI",{"id":638,"title":639,"alternatives":640,"api_compatible":3,"body":647,"category":565,"chinese_friendly":613,"cover":1126,"description":1127,"domestic":568,"extension":569,"faq":1128,"free":568,"github":3,"languages":1141,"meta":1144,"models":3,"navigation":586,"notSuitable":3,"opensource":568,"path":23,"pillar":588,"platforms":1145,"priceTable":1149,"pricing":1166,"published":607,"relatedPlaybooks":1167,"relatedReviews":3,"score":1171,"self_host":568,"seo":1172,"slug":1173,"sources":1174,"stem":1183,"suitable":3,"tagline":1184,"tags":1185,"updated":619,"verdict":1189,"website":1091,"__hash__":1190},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[641,644,646],{"name":642,"url":643},"genspark","\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",{"name":645,"url":587},"alice",{"name":16,"url":17},{"type":25,"value":648,"toc":1114},[649,651,654,657,659,721,723,749,754,758,762,785,789,815,817,837,839,973,975,1036,1038,1064,1066,1082,1084],[28,650,31],{"id":30},[33,652,653],{},"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。",[33,655,656],{},"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。",[28,658,41],{"id":41},[43,660,661,667,673,679,685,691,697,703,709,715],{},[46,662,663,666],{},[49,664,665],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[46,668,669,672],{},[49,670,671],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[46,674,675,678],{},[49,676,677],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[46,680,681,684],{},[49,682,683],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[46,686,687,690],{},[49,688,689],{},"多线程并行","：同时跑多个 thread，画布一览",[46,692,693,696],{},[49,694,695],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[46,698,699,702],{},[49,700,701],{},"iOS App","：2026 上线，移动 workspace 访问",[46,704,705,708],{},[49,706,707],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[46,710,711,714],{},[49,712,713],{},"商业授权","：Pro+ 包含商业使用权",[46,716,717,720],{},[49,718,719],{},"Web Control UI","：浏览器原生，多设备同步",[28,722,115],{"id":115},[43,724,725,731,737,743],{},[46,726,727,730],{},[49,728,729],{},"Free","：$0；300 一次性 credits（试水级）",[46,732,733,736],{},[49,734,735],{},"Pro","：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[46,738,739,742],{},[49,740,741],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[46,744,745,748],{},[49,746,747],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[140,750,751],{},[33,752,753],{},"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。",[28,755,757],{"id":756},"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）",[33,759,760],{},[49,761,153],{},[43,763,764,767,770,773,776,779,782],{},[46,765,766],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[46,768,769],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[46,771,772],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[46,774,775],{},"40+ 模型一窗体内切换 + 对比",[46,777,778],{},"多设备同步流畅",[46,780,781],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[46,783,784],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[33,786,787],{},[49,788,181],{},[43,790,791,794,797,800,803,806,809,812],{},[46,792,793],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[46,795,796],{},"学习曲线明显，画布操作 + 节点连线要花时间",[46,798,799],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[46,801,802],{},"Free 300 credits 不够体验完整流程",[46,804,805],{},"Agent Neo 偶尔『过度自治』产出不可控",[46,807,808],{},"移动 iOS 体验不如桌面 Web",[46,810,811],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[46,813,814],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[28,816,210],{"id":210},[212,818,819,822,825,828,831,834],{},[46,820,821],{},"flowith.io → Free 注册 → 拿 300 credits",[46,823,824],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[46,826,827],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[46,829,830],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[46,832,833],{},"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",[46,835,836],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[28,838,237],{"id":237},[239,840,841,858],{},[242,842,843],{},[245,844,845,847,849,852,855],{},[248,846,250],{},[248,848,639],{},[248,850,851],{},"Genspark",[248,853,854],{},"ChatGPT",[248,856,857],{},"Claude",[263,859,860,876,893,910,927,942,957],{},[245,861,862,865,868,871,874],{},[268,863,864],{},"形态",[268,866,867],{},"无限画布 + 节点",[268,869,870],{},"多 Agent + Sparkpage",[268,872,873],{},"线性 chat",[268,875,873],{},[245,877,878,881,884,887,890],{},[268,879,880],{},"自治 agent",[268,882,883],{},"✅ Neo 1000+ 步",[268,885,886],{},"✅ Super Agent",[268,888,889],{},"✅ Operator",[268,891,892],{},"❌（API 走）",[245,894,895,898,901,904,907],{},[268,896,897],{},"上下文",[268,899,900],{},"10M token",[268,902,903],{},"200K",[268,905,906],{},"1M（GPT-5）",[268,908,909],{},"1M（Claude）",[245,911,912,915,918,921,924],{},[268,913,914],{},"模型数",[268,916,917],{},"40+",[268,919,920],{},"多家",[268,922,923],{},"OpenAI",[268,925,926],{},"Anthropic",[245,928,929,932,935,937,940],{},[268,930,931],{},"Knowledge base",[268,933,934],{},"✅ Seeds",[268,936,354],{},[268,938,939],{},"Projects",[268,941,939],{},[245,943,944,947,950,953,955],{},[268,945,946],{},"起价",[268,948,949],{},"$19.90\u002F月",[268,951,952],{},"$25\u002F月",[268,954,312],{},[268,956,312],{},[245,958,959,961,964,967,970],{},[268,960,393],{},[268,962,963],{},"深度多线程 + 长任务",[268,965,966],{},"全能 Super Agent",[268,968,969],{},"通用",[268,971,972],{},"Coding \u002F 长文",[28,974,408],{"id":408},[43,976,977,983,989,995,1001,1007,1013,1019,1024,1030],{},[46,978,979,982],{},[49,980,981],{},"从 Pro 起","：Free 300 credits 玩不出深度",[46,984,985,988],{},[49,986,987],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[46,990,991,994],{},[49,992,993],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[46,996,997,1000],{},[49,998,999],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[46,1002,1003,1006],{},[49,1004,1005],{},"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",[46,1008,1009,1012],{},[49,1010,1011],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[46,1014,1015,1018],{},[49,1016,1017],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[46,1020,1021,1023],{},[49,1022,379],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[46,1025,1026,1029],{},[49,1027,1028],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[46,1031,1032,1035],{},[49,1033,1034],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[28,1037,468],{"id":467},[43,1039,1040,1043,1046,1049,1052,1055,1058,1061],{},[46,1041,1042],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[46,1044,1045],{},"✅ 要 10M token 超长上下文做综合分析",[46,1047,1048],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[46,1050,1051],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[46,1053,1054],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[46,1056,1057],{},"❌ 预算极紧 + 不愿学习曲线",[46,1059,1060],{},"❌ 线性思维 + 单线程偏好",[46,1062,1063],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[28,1065,497],{"id":497},[43,1067,1068,1073,1078],{},[46,1069,1070],{},[503,1071,1072],{"href":643},"Genspark 评测",[46,1074,1075],{},[503,1076,1077],{"href":587},"Alice 评测",[46,1079,1080],{},[503,1081,505],{"href":17},[28,1083,518],{"id":518},[212,1085,1086,1093,1100,1107],{},[46,1087,1088,1089],{},"Flowith 官网 + Pricing ",[503,1090,1091],{"href":1091,"rel":1092},"https:\u002F\u002Fflowith.io",[528],[46,1094,1095,1096],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[503,1097,1098],{"href":1098,"rel":1099},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[528],[46,1101,1102,1103],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[503,1104,1105],{"href":1105,"rel":1106},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[528],[46,1108,1109,1110],{},"OpenTools — Flowith Review May 2026 ",[503,1111,1112],{"href":1112,"rel":1113},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[528],{"title":551,"searchDepth":552,"depth":552,"links":1115},[1116,1117,1118,1119,1120,1121,1122,1123,1124,1125],{"id":30,"depth":555,"text":31},{"id":41,"depth":555,"text":41},{"id":115,"depth":555,"text":115},{"id":756,"depth":555,"text":757},{"id":210,"depth":555,"text":210},{"id":237,"depth":555,"text":237},{"id":408,"depth":555,"text":408},{"id":467,"depth":555,"text":468},{"id":497,"depth":555,"text":497},{"id":518,"depth":555,"text":518},"\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。",[1129,1132,1135,1138],{"q":1130,"a":1131},"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":1133,"a":1134},"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":1136,"a":1137},"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":1139,"a":1140},"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。",[584,1142,1143],"zh","multi",{},[1146,1147,1148],"web","ios","macos-flowithos",[1150,1155,1158,1162],{"plan":1151,"price":1152,"features":1153,"notes":1154},"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":735,"price":949,"features":1156,"notes":1157},"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":741,"price":1159,"features":1160,"notes":1161},"$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":747,"price":1163,"features":1164,"notes":1165},"$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）",[1168],{"name":1169,"url":1170},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":614,"ux":613,"price":552,"cn_support":613,"stability":613},{"title":639,"description":1127},"agent\u002Fgeneral\u002Fflowith",[1175,1177,1179,1181],{"name":1176,"url":1091,"accessed":619},"Flowith 官网",{"name":1178,"url":1098,"accessed":619},"Toolworthy — Flowith Review 2026",{"name":1180,"url":1105,"accessed":619},"BlockSentient — Flowith 2026 详细评测",{"name":1182,"url":1112,"accessed":619},"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",[1186,630,1187,1188,22],"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":1192,"title":851,"alternatives":1193,"api_compatible":3,"body":1197,"category":565,"chinese_friendly":613,"cover":1695,"description":1696,"domestic":568,"extension":569,"faq":1697,"free":568,"github":3,"languages":1710,"meta":1711,"models":3,"navigation":586,"notSuitable":3,"opensource":568,"path":643,"pillar":588,"platforms":1712,"priceTable":1714,"pricing":1723,"published":607,"relatedPlaybooks":1724,"relatedReviews":3,"score":1728,"self_host":568,"seo":1729,"slug":1730,"sources":1731,"stem":1740,"suitable":3,"tagline":1741,"tags":1742,"updated":619,"verdict":1747,"website":1748,"__hash__":1749},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[1194,1195,1196],{"name":22,"url":23},{"name":16,"url":17},{"name":645,"url":587},{"type":25,"value":1198,"toc":1683},[1199,1201,1204,1207,1209,1283,1285,1309,1314,1318,1322,1345,1349,1375,1377,1397,1399,1549,1551,1607,1609,1635,1637,1651,1653],[28,1200,31],{"id":30},[33,1202,1203],{},"Genspark 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。",[33,1205,1206],{},"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）。",[28,1208,41],{"id":41},[43,1210,1211,1217,1223,1229,1235,1241,1247,1253,1259,1265,1271,1277],{},[46,1212,1213,1216],{},[49,1214,1215],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[46,1218,1219,1222],{},[49,1220,1221],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[46,1224,1225,1228],{},[49,1226,1227],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[46,1230,1231,1234],{},[49,1232,1233],{},"AI Slides","：10-15 张幻灯片含图表",[46,1236,1237,1240],{},[49,1238,1239],{},"AI Sites","：完整 landing page 一键生成",[46,1242,1243,1246],{},[49,1244,1245],{},"AI Video","：30-60s 短视频生成",[46,1248,1249,1252],{},[49,1250,1251],{},"AI Pods","：10 分钟 AI podcast 生成",[46,1254,1255,1258],{},[49,1256,1257],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[46,1260,1261,1264],{},[49,1262,1263],{},"AI Sheets","：CSV 数据分析 + 自动图表",[46,1266,1267,1270],{},[49,1268,1269],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[46,1272,1273,1276],{},[49,1274,1275],{},"iOS \u002F Android App","：移动端可用",[46,1278,1279,1282],{},[49,1280,1281],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[28,1284,115],{"id":115},[43,1286,1287,1292,1298,1303],{},[46,1288,1289,1291],{},[49,1290,729],{},"：100-200 daily credits（~3-8 简单任务）",[46,1293,1294,1297],{},[49,1295,1296],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[46,1299,1300,1302],{},[49,1301,735],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[46,1304,1305,1308],{},[49,1306,1307],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[140,1310,1311],{},[33,1312,1313],{},"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。",[28,1315,1317],{"id":1316},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[33,1319,1320],{},[49,1321,153],{},[43,1323,1324,1327,1330,1333,1336,1339,1342],{},[46,1325,1326],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[46,1328,1329],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[46,1331,1332],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[46,1334,1335],{},"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",[46,1337,1338],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[46,1340,1341],{},"Sparkpage 输出可直接分享 + 嵌入",[46,1343,1344],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[33,1346,1347],{},[49,1348,181],{},[43,1350,1351,1354,1357,1360,1363,1366,1369,1372],{},[46,1352,1353],{},"credit 消耗不透明，复杂任务前难估算成本",[46,1355,1356],{},"用户反馈 customer support + refund 有问题",[46,1358,1359],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[46,1361,1362],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[46,1364,1365],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[46,1367,1368],{},"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",[46,1370,1371],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[46,1373,1374],{},"Pro $249 月价格陡，中端断档",[28,1376,210],{"id":210},[212,1378,1379,1382,1385,1388,1391,1394],{},[46,1380,1381],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[46,1383,1384],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[46,1386,1387],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[46,1389,1390],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[46,1392,1393],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[46,1395,1396],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[28,1398,237],{"id":237},[239,1400,1401,1417],{},[242,1402,1403],{},[245,1404,1405,1407,1409,1411,1414],{},[248,1406,250],{},[248,1408,851],{},[248,1410,639],{},[248,1412,1413],{},"Perplexity Pro",[248,1415,1416],{},"ChatGPT Plus",[263,1418,1419,1434,1449,1463,1477,1492,1506,1519,1534],{},[245,1420,1421,1423,1426,1429,1431],{},[268,1422,1215],{},[268,1424,1425],{},"✅ 多 Agent",[268,1427,1428],{},"✅ Neo 自治",[268,1430,354],{},[268,1432,1433],{},"Operator",[245,1435,1436,1439,1442,1445,1447],{},[268,1437,1438],{},"可视化输出",[268,1440,1441],{},"✅ Sparkpage",[268,1443,1444],{},"✅ 画布",[268,1446,354],{},[268,1448,354],{},[245,1450,1451,1454,1457,1459,1461],{},[268,1452,1453],{},"真实电话调用",[268,1455,1456],{},"✅ Call For Me",[268,1458,354],{},[268,1460,354],{},[268,1462,354],{},[245,1464,1465,1468,1471,1473,1475],{},[268,1466,1467],{},"一键建站",[268,1469,1470],{},"✅ AI Sites",[268,1472,354],{},[268,1474,354],{},[268,1476,354],{},[245,1478,1479,1482,1485,1487,1489],{},[268,1480,1481],{},"视频 \u002F 音频生成",[268,1483,1484],{},"✅ Video \u002F Pods",[268,1486,339],{},[268,1488,354],{},[268,1490,1491],{},"Sora（独立）",[245,1493,1494,1497,1500,1502,1504],{},[268,1495,1496],{},"引用透明",[268,1498,1499],{},"中",[268,1501,354],{},[268,1503,273],{},[268,1505,339],{},[245,1507,1508,1510,1513,1515,1517],{},[268,1509,946],{},[268,1511,1512],{},"$25\u002F月（Plus）",[268,1514,949],{},[268,1516,312],{},[268,1518,312],{},[245,1520,1521,1524,1527,1529,1531],{},[268,1522,1523],{},"最贵",[268,1525,1526],{},"$249\u002F月",[268,1528,1163],{},[268,1530,312],{},[268,1532,1533],{},"$200\u002F月",[245,1535,1536,1538,1541,1544,1547],{},[268,1537,393],{},[268,1539,1540],{},"一站式 Super Agent",[268,1542,1543],{},"画布深度",[268,1545,1546],{},"搜索引用",[268,1548,969],{},[28,1550,408],{"id":408},[43,1552,1553,1559,1565,1571,1577,1583,1589,1595,1601],{},[46,1554,1555,1558],{},[49,1556,1557],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[46,1560,1561,1564],{},[49,1562,1563],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[46,1566,1567,1570],{},[49,1568,1569],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[46,1572,1573,1576],{},[49,1574,1575],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[46,1578,1579,1582],{},[49,1580,1581],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[46,1584,1585,1588],{},[49,1586,1587],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[46,1590,1591,1594],{},[49,1592,1593],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[46,1596,1597,1600],{},[49,1598,1599],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[46,1602,1603,1606],{},[49,1604,1605],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[28,1608,468],{"id":467},[43,1610,1611,1614,1617,1620,1623,1626,1629,1632],{},[46,1612,1613],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[46,1615,1616],{},"✅ Plus $25 重度多模型不限 chat 用户",[46,1618,1619],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[46,1621,1622],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[46,1624,1625],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[46,1627,1628],{},"❌ 学术严谨场景",[46,1630,1631],{},"❌ 预算极紧",[46,1633,1634],{},"❌ 要画布 + 多线程深度（用 Flowith）",[28,1636,497],{"id":497},[43,1638,1639,1643,1647],{},[46,1640,1641],{},[503,1642,515],{"href":23},[46,1644,1645],{},[503,1646,505],{"href":17},[46,1648,1649],{},[503,1650,1077],{"href":587},[28,1652,518],{"id":518},[212,1654,1655,1662,1669,1676],{},[46,1656,1657,1658],{},"Genspark Pricing 官方 ",[503,1659,1660],{"href":1660,"rel":1661},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[528],[46,1663,1664,1665],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[503,1666,1667],{"href":1667,"rel":1668},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[528],[46,1670,1671,1672],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[503,1673,1674],{"href":1674,"rel":1675},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[528],[46,1677,1678,1679],{},"Lindy — Genspark Features 2026 Tested ",[503,1680,1681],{"href":1681,"rel":1682},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[528],{"title":551,"searchDepth":552,"depth":552,"links":1684},[1685,1686,1687,1688,1689,1690,1691,1692,1693,1694],{"id":30,"depth":555,"text":31},{"id":41,"depth":555,"text":41},{"id":115,"depth":555,"text":115},{"id":1316,"depth":555,"text":1317},{"id":210,"depth":555,"text":210},{"id":237,"depth":555,"text":237},{"id":408,"depth":555,"text":408},{"id":467,"depth":555,"text":468},{"id":497,"depth":555,"text":497},{"id":518,"depth":555,"text":518},"\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。",[1698,1701,1704,1707],{"q":1699,"a":1700},"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":1702,"a":1703},"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":1705,"a":1706},"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":1708,"a":1709},"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。",[584,1142,1143],{},[1146,1147,1713],"android",[1715,1717,1720],{"plan":729,"price":1152,"features":1716,"notes":1154},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":1296,"price":952,"features":1718,"notes":1719},"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":735,"price":1526,"features":1721,"notes":1722},"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",[1725],{"name":1726,"url":1727},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":614,"ux":613,"price":552,"cn_support":552,"stability":613},{"title":851,"description":1696},"agent\u002Fgeneral\u002Fgenspark",[1732,1734,1736,1738],{"name":1733,"url":1660,"accessed":619},"Genspark 官网 + Pricing",{"name":1735,"url":1667,"accessed":619},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":1737,"url":1674,"accessed":619},"Rimo — Genspark 2026 + ARR $250M",{"name":1739,"url":1681,"accessed":619},"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",[1743,1744,1745,1746,642],"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":1751,"title":1752,"alternatives":1753,"api_compatible":1757,"body":1758,"category":565,"chinese_friendly":613,"cover":2658,"description":2659,"domestic":568,"extension":569,"faq":3,"free":568,"github":3,"languages":2660,"meta":2661,"models":2662,"navigation":586,"notSuitable":2667,"opensource":568,"path":2672,"pillar":588,"platforms":2673,"priceTable":2674,"pricing":2689,"published":2690,"relatedPlaybooks":3,"relatedReviews":3,"score":2691,"self_host":568,"seo":2692,"slug":2693,"sources":2694,"stem":2710,"suitable":2711,"tagline":2717,"tags":2718,"updated":619,"verdict":2724,"website":2143,"__hash__":2725},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[1730,1754,1755,1756],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":25,"value":1759,"toc":2638},[1760,1762,1800,1805,1808,1872,1875,1880,1888,1893,1900,1904,1912,1978,1983,1987,1994,1998,2006,2011,2028,2031,2034,2037,2044,2047,2053,2108,2114,2121,2126,2132,2136,2181,2184,2223,2226,2398,2403,2420,2425,2445,2448,2514,2516,2519,2536,2539,2560,2562,2612,2614,2631],[28,1761,31],{"id":30},[1763,1764,1769,1785],"div",{"className":1765},[1766,1767,1768],"card","p-5","my-4",[33,1770,1771,1774,1775,1778,1779,1784],{},[49,1772,1773],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[49,1776,1777],{},"邀请码一度被炒到 ¥5 万-10 万","（",[503,1780,1783],{"href":1781,"rel":1782},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[528],"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。",[33,1786,1787,1788,1778,1791,1795,1796,1799],{},"2025-12 传被 ",[49,1789,1790],{},"Meta 以约 20-30 亿美元收购",[503,1792,1794],{"href":1781,"rel":1793},[528],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[49,1797,1798],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[140,1801,1802],{},[33,1803,1804],{},"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。",[28,1806,1807],{"id":1807},"背景与公司",[43,1809,1810,1821,1827,1833,1839,1850,1860,1866],{},[46,1811,1812,1815,1816,1820],{},[49,1813,1814],{},"公司","：Butterfly Effect Pte. Ltd.（",[503,1817,1819],{"href":1781,"rel":1818},[528],"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）",[46,1822,1823,1826],{},[49,1824,1825],{},"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）",[46,1828,1829,1832],{},[49,1830,1831],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[46,1834,1835,1838],{},[49,1836,1837],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[46,1840,1841,1844,1845,1849],{},[49,1842,1843],{},"Manus 启动","：2024-10 立项，灵感来自 ",[503,1846,1848],{"href":1847},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[46,1851,1852,1855,1856],{},[49,1853,1854],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[503,1857,1859],{"href":1781,"rel":1858},[528],"Demo 视频 20 小时百万播放",[46,1861,1862,1865],{},[49,1863,1864],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[46,1867,1868,1871],{},[49,1869,1870],{},"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",[28,1873,1874],{"id":1874},"核心特性",[1876,1877,1879],"h3",{"id":1878},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[33,1881,1882,1887],{},[503,1883,1886],{"href":1884,"rel":1885},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[528],"Pick Right 2026-04 评测"," 描述的架构：",[140,1889,1890],{},[33,1891,1892],{},"\"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.\"",[33,1894,1895,1896,1899],{},"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 ",[49,1897,1898],{},"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。",[1876,1901,1903],{"id":1902},"通用-agent-模式","通用 Agent 模式",[33,1905,1906,1911],{},[503,1907,1910],{"href":1908,"rel":1909},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[528],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[239,1913,1914,1924],{},[242,1915,1916],{},[245,1917,1918,1921],{},[248,1919,1920],{},"模型",[248,1922,1923],{},"GAIA 准确率",[263,1925,1926,1938,1946,1954,1962,1970],{},[245,1927,1928,1933],{},[268,1929,1930],{},[49,1931,1932],{},"Manus AI",[268,1934,1935],{},[49,1936,1937],{},">65%（SOTA）",[245,1939,1940,1943],{},[268,1941,1942],{},"H2O.ai (h2oGPTe)",[268,1944,1945],{},"65%",[245,1947,1948,1951],{},[268,1949,1950],{},"Google Langfun",[268,1952,1953],{},"49%",[245,1955,1956,1959],{},[268,1957,1958],{},"Microsoft o1",[268,1960,1961],{},"38%",[245,1963,1964,1967],{},[268,1965,1966],{},"OpenAI GPT-4o",[268,1968,1969],{},"32%",[245,1971,1972,1975],{},[268,1973,1974],{},"OpenAI GPT-4 + Plugins",[268,1976,1977],{},"15-30%",[140,1979,1980],{},[33,1981,1982],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[1876,1984,1986],{"id":1985},"后台执行-长任务","后台执行 + 长任务",[33,1988,1989,1990,1993],{},"最特别的体验：任务下达后",[49,1991,1992],{},"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。",[1876,1995,1997],{"id":1996},"web-app-builder","Web App Builder",[33,1999,2000,2001,2005],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[503,2002,2004],{"href":1884,"rel":2003},[528],"Pick Right 评测"," 直白警告：",[140,2007,2008],{},[33,2009,2010],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[33,2012,2013,2014,2018,2019,2018,2023,2027],{},"复杂场景下出 bug 多，目前不建议生产部署，",[503,2015,2017],{"href":2016},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[503,2020,2022],{"href":2021},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[503,2024,2026],{"href":2025},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[1876,2029,2030],{"id":2030},"桌面应用",[33,2032,2033],{},"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。",[1876,2035,2036],{"id":2036},"多模型路由",[33,2038,2039,2040,2043],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[49,2041,2042],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[28,2045,2046],{"id":2046},"价格与运行成本",[33,2048,2049,2052],{},[503,2050,2004],{"href":1884,"rel":2051},[528]," 公开档位：",[239,2054,2055,2067],{},[242,2056,2057],{},[245,2058,2059,2062,2064],{},[248,2060,2061],{},"档位",[248,2063,115],{},[248,2065,2066],{},"关键点",[263,2068,2069,2078,2087,2097],{},[245,2070,2071,2073,2075],{},[268,2072,729],{},[268,2074,1152],{},[268,2076,2077],{},"每日有限 credits，够 1 个高强度任务\u002F天",[245,2079,2080,2082,2084],{},[268,2081,735],{},[268,2083,312],{},[268,2085,2086],{},"大多数付费用户落点；中等 credit + 多模型",[245,2088,2089,2091,2094],{},[268,2090,1296],{},[268,2092,2093],{},"$50\u002F月",[268,2095,2096],{},"更高 credit + 优先队列，10+ 任务\u002F周",[245,2098,2099,2102,2105],{},[268,2100,2101],{},"Pro+ \u002F Team",[268,2103,2104],{},"最高 $200\u002F月",[268,2106,2107],{},"最大 credit + 团队空间（功能仍有限）",[33,2109,2110,2113],{},[49,2111,2112],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[33,2115,2116,2120],{},[503,2117,2119],{"href":1884,"rel":2118},[528],"Pick Right 真实使用反馈","：",[140,2122,2123],{},[33,2124,2125],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[33,2127,2128,2131],{},[49,2129,2130],{},"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。",[28,2133,2135],{"id":2134},"上手-5-分钟","上手 5 分钟",[212,2137,2138,2146,2149,2166,2169,2175,2178],{},[46,2139,2140,2141],{},"打开 ",[503,2142,2145],{"href":2143,"rel":2144},"https:\u002F\u002Fmanus.im",[528],"manus.im",[46,2147,2148],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[46,2150,2151,2152,2155,2156],{},"给一个完整任务描述（",[49,2153,2154],{},"关键","：不要碎片化指令，给全场景）\n",[2157,2158,2163],"pre",{"className":2159,"code":2161,"language":2162},[2160],"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",[2164,2165,2161],"code",{"__ignoreMap":551},[46,2167,2168],{},"选模型路由（Auto 推荐）",[46,2170,2171,2172,2174],{},"提交后",[49,2173,1992],{},"——任务在云端跑",[46,2176,2177],{},"完成后邮件 \u002F 站内通知",[46,2179,2180],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[28,2182,2183],{"id":2183},"国内使用注意事项",[212,2185,2186,2196,2202,2208],{},[46,2187,2188,2120,2191,2195],{},[49,2189,2190],{},"大陆访问被屏蔽",[503,2192,2194],{"href":1781,"rel":2193},[528],"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",[46,2197,2198,2201],{},[49,2199,2200],{},"访问需稳定代理","：日韩 \u002F 美国节点",[46,2203,2204,2207],{},[49,2205,2206],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[46,2209,2210,2213,2214,2217,2218,2222],{},[49,2211,2212],{},"替代路径","：国内可考虑 ",[503,2215,851],{"href":2216},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[503,2219,2221],{"href":2220},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[28,2224,2225],{"id":2225},"与同类怎么选",[239,2227,2228,2252],{},[242,2229,2230],{},[245,2231,2232,2234,2236,2242,2246,2249],{},[248,2233,250],{},[248,2235,1752],{},[248,2237,2238],{},[503,2239,2241],{"href":2240},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[248,2243,2244],{},[503,2245,851],{"href":2216},[248,2247,2248],{},"ChatGPT Deep Research",[248,2250,2251],{},"GenAgent",[263,2253,2254,2273,2293,2312,2327,2343,2360,2378],{},[245,2255,2256,2259,2262,2265,2268,2271],{},[268,2257,2258],{},"核心定位",[268,2260,2261],{},"通用 Agent",[268,2263,2264],{},"AI 程序员",[268,2266,2267],{},"AI 搜索 + Agent",[268,2269,2270],{},"LLM Deep Research",[268,2272,969],{},[245,2274,2275,2278,2281,2284,2287,2290],{},[268,2276,2277],{},"架构",[268,2279,2280],{},"多 sub-agent 并行",[268,2282,2283],{},"单 Agent + 沙盒",[268,2285,2286],{},"多模型",[268,2288,2289],{},"单模型",[268,2291,2292],{},"—",[245,2294,2295,2298,2301,2304,2307,2310],{},[268,2296,2297],{},"长任务",[268,2299,2300],{},"★★★★★ 小时级",[268,2302,2303],{},"★★★★★",[268,2305,2306],{},"★★★☆☆",[268,2308,2309],{},"★★★★☆",[268,2311,2306],{},[245,2313,2314,2317,2319,2321,2323,2325],{},[268,2315,2316],{},"引用密度",[268,2318,2303],{},[268,2320,2306],{},[268,2322,2309],{},[268,2324,2306],{},[268,2326,2306],{},[245,2328,2329,2332,2335,2337,2339,2341],{},[268,2330,2331],{},"App Builder",[268,2333,2334],{},"⚠️ 有但 buggy",[268,2336,382],{},[268,2338,382],{},[268,2340,382],{},[268,2342,382],{},[245,2344,2345,2348,2351,2354,2356,2358],{},[268,2346,2347],{},"中文",[268,2349,2350],{},"⚠️ 大陆屏蔽",[268,2352,2353],{},"⚠️",[268,2355,2303],{},[268,2357,2353],{},[268,2359,2309],{},[245,2361,2362,2364,2367,2370,2373,2376],{},[268,2363,115],{},[268,2365,2366],{},"$20-$200",[268,2368,2369],{},"$500\u002F月",[268,2371,2372],{},"$24.99\u002F月",[268,2374,2375],{},"随 ChatGPT Plus",[268,2377,2292],{},[245,2379,2380,2383,2386,2389,2392,2395],{},[268,2381,2382],{},"适合场景",[268,2384,2385],{},"research \u002F 数据分析",[268,2387,2388],{},"写代码 \u002F 修 bug",[268,2390,2391],{},"信息检索",[268,2393,2394],{},"单次深度研究",[268,2396,2397],{},"综合",[33,2399,2400,2120],{},[49,2401,2402],{},"选 Manus 如果你",[43,2404,2405,2411,2414,2417],{},[46,2406,2407,2408],{},"重视 research \u002F 数据分析任务的 ",[49,2409,2410],{},"引用密度和结构化输出",[46,2412,2413],{},"想试\"开任务下班、明早看结果\"的工作流",[46,2415,2416],{},"海外 \u002F 能解决账号网络问题",[46,2418,2419],{},"预算 $20-$50\u002F月，重度用户",[33,2421,2422,2120],{},[49,2423,2424],{},"别选 Manus 如果你",[43,2426,2427,2436,2439,2442],{},[46,2428,2429,2430,2018,2432,2435],{},"国内裸用（",[503,2431,851],{"href":2216},[503,2433,2434],{"href":2220},"Yuanbao"," 更顺）",[46,2437,2438],{},"想生产部署 App（Web App Builder bug 多）",[46,2440,2441],{},"团队协作场景（功能不完善）",[46,2443,2444],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[28,2446,2447],{"id":2447},"避坑清单",[43,2449,2450,2456,2466,2472,2478,2490,2496,2502],{},[46,2451,2452,2455],{},[49,2453,2454],{},"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",[46,2457,2458,2120,2461,2465],{},[49,2459,2460],{},"credit 烧得比官方页面暗示的快",[503,2462,2464],{"href":1884,"rel":2463},[528],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[46,2467,2468,2471],{},[49,2469,2470],{},"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",[46,2473,2474,2477],{},[49,2475,2476],{},"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",[46,2479,2480,2483,2484,2489],{},[49,2481,2482],{},"每次任务从零开始","：没有持久 workspace，不像 ",[503,2485,2488],{"href":2486,"rel":2487},"https:\u002F\u002Fclaude.com",[528],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[46,2491,2492,2495],{},[49,2493,2494],{},"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",[46,2497,2498,2501],{},[49,2499,2500],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[46,2503,2504,2507,2508,2513],{},[49,2505,2506],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[503,2509,2512],{"href":2510,"rel":2511},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[528],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[28,2515,468],{"id":467},[33,2517,2518],{},"✅ 适合：",[43,2520,2521,2524,2527,2530,2533],{},[46,2522,2523],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[46,2525,2526],{},"CSV \u002F Excel 重的数据分析任务",[46,2528,2529],{},"长任务 + 不想盯着看（小时级）",[46,2531,2532],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[46,2534,2535],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[33,2537,2538],{},"❌ 不适合：",[43,2540,2541,2544,2547,2550,2553],{},[46,2542,2543],{},"生产级应用部署",[46,2545,2546],{},"团队协作工作流",[46,2548,2549],{},"预算极敏感（free 档非常受限）",[46,2551,2552],{},"大陆稳定访问需求",[46,2554,2555,2556,2559],{},"需要深度持久上下文（用 ",[503,2557,2488],{"href":2486,"rel":2558},[528]," \u002F ChatGPT Custom GPT 等）",[28,2561,497],{"id":497},[43,2563,2564,2575,2586,2601],{},[46,2565,2566,2567,2018,2569,2571,2572,2574],{},"同类对比：",[503,2568,2241],{"href":2240},[503,2570,851],{"href":2216}," \u002F Elicit \u002F ",[503,2573,2434],{"href":2220}," \u002F Metaso",[46,2576,2577,2578,2018,2582,2585],{},"概念：",[503,2579,2581],{"href":2580},"\u002Fwiki\u002Fai-agent.html","AI Agent",[503,2583,2584],{"href":2580},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[46,2587,2588,2589,2018,2593,2018,2597],{},"模型：",[503,2590,2592],{"href":2591},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[503,2594,2596],{"href":2595},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[503,2598,2600],{"href":2599},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[46,2602,2603,2604,2018,2608],{},"进阶：",[503,2605,2607],{"href":2606},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[503,2609,2611],{"href":2610},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[28,2613,518],{"id":518},[43,2615,2616,2622,2625,2628],{},[46,2617,2618,2619],{},"官网：",[503,2620,2143],{"href":2143,"rel":2621},[528],[46,2623,2624],{},"Wikipedia：\"Manus (AI agent)\" 条目",[46,2626,2627],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[46,2629,2630],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[33,2632,2633,2634,2637],{},"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 ",[503,2635,2636],{"href":2636},"\u002Fsubmit"," 反馈。",{"title":551,"searchDepth":552,"depth":552,"links":2639},[2640,2641,2642,2650,2651,2652,2653,2654,2655,2656,2657],{"id":30,"depth":555,"text":31},{"id":1807,"depth":555,"text":1807},{"id":1874,"depth":555,"text":1874,"children":2643},[2644,2645,2646,2647,2648,2649],{"id":1878,"depth":552,"text":1879},{"id":1902,"depth":552,"text":1903},{"id":1985,"depth":552,"text":1986},{"id":1996,"depth":552,"text":1997},{"id":2030,"depth":552,"text":2030},{"id":2036,"depth":552,"text":2036},{"id":2046,"depth":555,"text":2046},{"id":2134,"depth":555,"text":2135},{"id":2183,"depth":555,"text":2183},{"id":2225,"depth":555,"text":2225},{"id":2447,"depth":555,"text":2447},{"id":467,"depth":555,"text":468},{"id":497,"depth":555,"text":497},{"id":518,"depth":555,"text":518},"\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。",[1142,584],{},[2663,2664,2665,2666],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[2668,2669,2670,2671],"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",[1146,591,590,592],[2675,2678,2682,2685],{"plan":729,"price":1152,"limit":2676,"cn_pay":2292,"note":2677},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":735,"price":312,"limit":2679,"cn_pay":2680,"note":2681},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":1296,"price":2093,"limit":2683,"cn_pay":2353,"note":2684},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":2686,"price":1533,"limit":2687,"cn_pay":2353,"note":2688},"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":614,"ux":614,"price":552,"cn_support":613,"stability":552},{"title":1752,"description":2659},"agent\u002Fgeneral\u002Fmanus",[2695,2697,2700,2702,2704,2707],{"title":2696,"url":2143},"Manus 官网",{"title":2698,"url":2699},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":2701,"url":1884},"Manus AI Review 2026 (Pick Right)",{"title":2703,"url":1908},"Info-Tech Manus Assessment",{"title":2705,"url":2706},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":2708,"url":2709},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[2712,2713,2714,2715,2716],"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",[2719,2720,2721,1744,2722,2723],"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":2727,"title":2728,"alternatives":2729,"api_compatible":3,"body":2739,"category":565,"chinese_friendly":552,"cover":3256,"description":3257,"domestic":568,"extension":569,"faq":3258,"free":568,"github":3,"languages":3270,"meta":3271,"models":3,"navigation":586,"notSuitable":3,"opensource":568,"path":3272,"pillar":588,"platforms":3273,"priceTable":3274,"pricing":3290,"published":607,"relatedPlaybooks":3291,"relatedReviews":3,"score":3295,"self_host":586,"seo":3296,"slug":3297,"sources":3298,"stem":3307,"suitable":3,"tagline":3308,"tags":3309,"updated":619,"verdict":3312,"website":3313,"__hash__":3314},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[2730,2733,2736],{"name":2731,"url":2732},"ollama","\u002Ftools\u002Fcoding\u002Flocal\u002Follama",{"name":2734,"url":2735},"lm-studio","\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio",{"name":2737,"url":2738},"open-webui","\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",{"type":25,"value":2740,"toc":3244},[2741,2743,2746,2749,2751,2825,2827,2852,2857,2861,2865,2891,2895,2921,2923,2946,2948,3108,3110,3165,3167,3193,3195,3212,3214],[28,2742,31],{"id":30},[33,2744,2745],{},"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。",[33,2747,2748],{},"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）。",[28,2750,41],{"id":41},[43,2752,2753,2759,2765,2771,2777,2783,2789,2795,2801,2807,2813,2819],{},[46,2754,2755,2758],{},[49,2756,2757],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[46,2760,2761,2764],{},[49,2762,2763],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[46,2766,2767,2770],{},[49,2768,2769],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[46,2772,2773,2776],{},[49,2774,2775],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[46,2778,2779,2782],{},[49,2780,2781],{},"Prompt Studio","：变量 + 模板 + 测试",[46,2784,2785,2788],{},[49,2786,2787],{},"Persona Studio","：自定义角色 + 工具 + context",[46,2790,2791,2794],{},[49,2792,2793],{},"Skills Studio","：可复用能力包",[46,2796,2797,2800],{},[49,2798,2799],{},"Agent Mode","：多步执行 + 工具调用",[46,2802,2803,2806],{},[49,2804,2805],{},"Flowchart 对话","：分支可视化",[46,2808,2809,2812],{},[49,2810,2811],{},"Real-time 数据","：实时 web fetch",[46,2814,2815,2818],{},[49,2816,2817],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[46,2820,2821,2824],{},[49,2822,2823],{},"Cloud Sync","（Aurum）：跨设备同步对话",[28,2826,115],{"id":115},[43,2828,2829,2834,2840,2846],{},[46,2830,2831,2833],{},[49,2832,729],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[46,2835,2836,2839],{},[49,2837,2838],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[46,2841,2842,2845],{},[49,2843,2844],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[46,2847,2848,2851],{},[49,2849,2850],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[140,2853,2854],{},[33,2855,2856],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[28,2858,2860],{"id":2859},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[33,2862,2863],{},[49,2864,153],{},[43,2866,2867,2870,2873,2876,2879,2882,2885,2888],{},[46,2868,2869],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[46,2871,2872],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[46,2874,2875],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[46,2877,2878],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[46,2880,2881],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[46,2883,2884],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[46,2886,2887],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[46,2889,2890],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[33,2892,2893],{},[49,2894,181],{},[43,2896,2897,2900,2903,2906,2909,2912,2915,2918],{},[46,2898,2899],{},"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",[46,2901,2902],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[46,2904,2905],{},"桌面 only，无 iOS \u002F Android",[46,2907,2908],{},"llama.cpp 更新滞后官方上游 1-2 版本",[46,2910,2911],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[46,2913,2914],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[46,2916,2917],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[46,2919,2920],{},"中文 UI 不完整，部分功能仍是英文",[28,2922,210],{"id":210},[212,2924,2925,2928,2931,2934,2937,2940,2943],{},[46,2926,2927],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[46,2929,2930],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[46,2932,2933],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[46,2935,2936],{},"加云模型：OpenAI Key + Anthropic Key",[46,2938,2939],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[46,2941,2942],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[46,2944,2945],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[28,2947,237],{"id":237},[239,2949,2950,2967],{},[242,2951,2952],{},[245,2953,2954,2956,2958,2961,2964],{},[248,2955,250],{},[248,2957,2728],{},[248,2959,2960],{},"Ollama",[248,2962,2963],{},"LM Studio",[248,2965,2966],{},"Jan",[263,2968,2969,2984,2999,3012,3024,3037,3051,3066,3078,3092],{},[245,2970,2971,2974,2977,2980,2982],{},[268,2972,2973],{},"GUI",[268,2975,2976],{},"✅ 颜值高",[268,2978,2979],{},"❌ CLI",[268,2981,289],{},[268,2983,289],{},[245,2985,2986,2989,2992,2994,2997],{},[268,2987,2988],{},"本地引擎",[268,2990,2991],{},"MLX\u002Fllama.cpp\u002FOllama",[268,2993,2960],{},[268,2995,2996],{},"llama.cpp",[268,2998,2996],{},[245,3000,3001,3004,3006,3008,3010],{},[268,3002,3003],{},"云模型",[268,3005,289],{},[268,3007,382],{},[268,3009,382],{},[268,3011,339],{},[245,3013,3014,3016,3018,3020,3022],{},[268,3015,2769],{},[268,3017,342],{},[268,3019,382],{},[268,3021,339],{},[268,3023,354],{},[245,3025,3026,3028,3031,3033,3035],{},[268,3027,2775],{},[268,3029,3030],{},"✅ per-conv",[268,3032,382],{},[268,3034,382],{},[268,3036,339],{},[245,3038,3039,3042,3045,3047,3049],{},[268,3040,3041],{},"Studios",[268,3043,3044],{},"✅ Prompt\u002FPersona\u002FSkills",[268,3046,354],{},[268,3048,354],{},[268,3050,354],{},[245,3052,3053,3056,3058,3061,3063],{},[268,3054,3055],{},"开源",[268,3057,382],{},[268,3059,3060],{},"✅ MIT",[268,3062,382],{},[268,3064,3065],{},"✅ Apache 2.0",[245,3067,3068,3070,3072,3074,3076],{},[268,3069,946],{},[268,3071,1152],{},[268,3073,1152],{},[268,3075,1152],{},[268,3077,1152],{},[245,3079,3080,3083,3086,3088,3090],{},[268,3081,3082],{},"终身",[268,3084,3085],{},"$349",[268,3087,354],{},[268,3089,354],{},[268,3091,354],{},[245,3093,3094,3096,3099,3102,3105],{},[268,3095,393],{},[268,3097,3098],{},"桌面颜值 + 多模型",[268,3100,3101],{},"CLI \u002F Server",[268,3103,3104],{},"模型市场",[268,3106,3107],{},"严格开源",[28,3109,408],{"id":408},[43,3111,3112,3118,3124,3130,3136,3142,3148,3154,3160],{},[46,3113,3114,3117],{},[49,3115,3116],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[46,3119,3120,3123],{},[49,3121,3122],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[46,3125,3126,3129],{},[49,3127,3128],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[46,3131,3132,3135],{},[49,3133,3134],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[46,3137,3138,3141],{},[49,3139,3140],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[46,3143,3144,3147],{},[49,3145,3146],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[46,3149,3150,3153],{},[49,3151,3152],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[46,3155,3156,3159],{},[49,3157,3158],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[46,3161,3162,3164],{},[49,3163,463],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[28,3166,468],{"id":467},[43,3168,3169,3172,3175,3178,3181,3184,3187,3190],{},[46,3170,3171],{},"✅ 隐私敏感 + 数据零云",[46,3173,3174],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[46,3176,3177],{},"✅ 不愿学 Ollama CLI 的非工程师",[46,3179,3180],{},"✅ 多模型对比决策场景",[46,3182,3183],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[46,3185,3186],{},"❌ 要 mobile 移动主力",[46,3188,3189],{},"❌ 团队协作 + 共享 workspace",[46,3191,3192],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[28,3194,497],{"id":497},[43,3196,3197,3202,3207],{},[46,3198,3199],{},[503,3200,3201],{"href":2732},"Ollama 评测",[46,3203,3204],{},[503,3205,3206],{"href":2735},"LM Studio 评测",[46,3208,3209],{},[503,3210,3211],{"href":2738},"Open WebUI 评测",[28,3213,518],{"id":518},[212,3215,3216,3223,3230,3237],{},[46,3217,3218,3219],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[503,3220,3221],{"href":3221,"rel":3222},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[528],[46,3224,3225,3226],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[503,3227,3228],{"href":3228,"rel":3229},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[528],[46,3231,3232,3233],{},"ML Journey — Msty Multi-model Comparison Guide ",[503,3234,3235],{"href":3235,"rel":3236},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[528],[46,3238,3239,3240],{},"AISO Tools — Msty Pricing 2026 ",[503,3241,3242],{"href":3242,"rel":3243},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[528],{"title":551,"searchDepth":552,"depth":552,"links":3245},[3246,3247,3248,3249,3250,3251,3252,3253,3254,3255],{"id":30,"depth":555,"text":31},{"id":41,"depth":555,"text":41},{"id":115,"depth":555,"text":115},{"id":2859,"depth":555,"text":2860},{"id":210,"depth":555,"text":210},{"id":237,"depth":555,"text":237},{"id":408,"depth":555,"text":408},{"id":467,"depth":555,"text":468},{"id":497,"depth":555,"text":497},{"id":518,"depth":555,"text":518},"\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。",[3259,3262,3265,3268],{"q":3260,"a":3261},"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":3263,"a":3264},"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":3266,"a":3267},"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":581,"a":3269},"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。",[584,1143],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[590,591,592,1146],[3275,3278,3282,3286],{"plan":729,"price":1152,"features":3276,"notes":3277},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":2838,"price":3279,"features":3280,"notes":3281},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":2844,"price":3283,"features":3284,"notes":3285},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":2850,"price":3287,"features":3288,"notes":3289},"$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",[3292],{"name":3293,"url":3294},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":613,"ux":614,"price":614,"cn_support":552,"stability":613},{"title":2728,"description":3257},"agent\u002Fgeneral\u002Fmsty",[3299,3301,3303,3305],{"name":3300,"url":3221,"accessed":619},"Msty 官网 + Features",{"name":3302,"url":3228,"accessed":619},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":3304,"url":3235,"accessed":619},"ML Journey — Msty Local LLM Comparison Guide",{"name":3306,"url":3242,"accessed":619},"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",[3310,630,632,1188,3311],"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":3316,"title":3317,"alternatives":3318,"api_compatible":3,"body":3328,"category":565,"chinese_friendly":613,"cover":3986,"description":3987,"domestic":568,"extension":569,"faq":3988,"free":568,"github":3,"languages":4001,"meta":4002,"models":3,"navigation":586,"notSuitable":3,"opensource":586,"path":4003,"pillar":588,"platforms":4004,"priceTable":4006,"pricing":4010,"published":607,"relatedPlaybooks":4011,"relatedReviews":3,"score":4015,"self_host":586,"seo":4016,"slug":4017,"sources":4018,"stem":4027,"suitable":3,"tagline":4028,"tags":4029,"updated":619,"verdict":4035,"website":3947,"__hash__":4036},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[3319,3322,3325],{"name":3320,"url":3321},"langflow","\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",{"name":3323,"url":3324},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":3326,"url":3327},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"type":25,"value":3329,"toc":3974},[3330,3332,3339,3342,3344,3420,3422,3439,3443,3447,3473,3477,3503,3505,3655,3658,3664,3666,3831,3833,3891,3893,3919,3921,3938,3940,3970],[28,3331,31],{"id":30},[33,3333,3334,3335,3338],{},"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（",[2164,3336,3337],{},"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。",[33,3340,3341],{},"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）。",[28,3343,41],{"id":41},[43,3345,3346,3354,3360,3366,3372,3378,3384,3390,3396,3402,3408,3414],{},[46,3347,3348,2120,3351,3353],{},[49,3349,3350],{},"多 agent orchestration",[2164,3352,3337],{}," 编排多个专门 agent 协作",[46,3355,3356,3359],{},[49,3357,3358],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[46,3361,3362,3365],{},[49,3363,3364],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[46,3367,3368,3371],{},[49,3369,3370],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[46,3373,3374,3377],{},[49,3375,3376],{},"OpenManus-RL","：强化学习微调分支",[46,3379,3380,3383],{},[49,3381,3382],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[46,3385,3386,3389],{},[49,3387,3388],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[46,3391,3392,3395],{},[49,3393,3394],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[46,3397,3398,3401],{},[49,3399,3400],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[46,3403,3404,3407],{},[49,3405,3406],{},"Web UI 监控","：实时看 AI thinking process",[46,3409,3410,3413],{},[49,3411,3412],{},"任务可视化","：步骤拆解 + 执行树",[46,3415,3416,3419],{},[49,3417,3418],{},"MIT 协议","：个人 + 商用全免费",[28,3421,115],{"id":115},[43,3423,3424,3430,3433,3436],{},[46,3425,3426,3429],{},[49,3427,3428],{},"Free \u002F OSS","：$0；MIT 协议",[46,3431,3432],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[46,3434,3435],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[46,3437,3438],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[28,3440,3442],{"id":3441},"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）",[33,3444,3445],{},[49,3446,153],{},[43,3448,3449,3452,3455,3458,3461,3464,3467,3470],{},[46,3450,3451],{},"52k stars 印证社区认同度 + 活跃度",[46,3453,3454],{},"MetaGPT 团队背景保证架构质量",[46,3456,3457],{},"多 agent 协作场景比单 agent 实现稳得多",[46,3459,3460],{},"Playwright 浏览器自动化非常完整",[46,3462,3463],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[46,3465,3466],{},"DataAnalysis 内置 agent 模式开箱即用",[46,3468,3469],{},"中文支持自然（Qwen VL Plus 接入）",[46,3471,3472],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[33,3474,3475],{},[49,3476,181],{},[43,3478,3479,3482,3485,3488,3491,3494,3497,3500],{},[46,3480,3481],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[46,3483,3484],{},"文档滞后新功能 1-2 个月",[46,3486,3487],{},"无官方 GUI，监控 UI 在做但不完整",[46,3489,3490],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[46,3492,3493],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[46,3495,3496],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[46,3498,3499],{},"中文 prompt 效果依赖底层模型",[46,3501,3502],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[28,3504,210],{"id":210},[2157,3506,3510],{"className":3507,"code":3508,"language":3509,"meta":551,"style":551},"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",[2164,3511,3512,3528,3537,3565,3579,3589,3595,3600,3611,3617,3621,3627,3636,3641,3647],{"__ignoreMap":551},[3513,3514,3517,3521,3525],"span",{"class":3515,"line":3516},"line",1,[3513,3518,3520],{"class":3519},"sScJk","git",[3513,3522,3524],{"class":3523},"sZZnC"," clone",[3513,3526,3527],{"class":3523}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[3513,3529,3530,3534],{"class":3515,"line":555},[3513,3531,3533],{"class":3532},"sj4cs","cd",[3513,3535,3536],{"class":3523}," OpenManus\n",[3513,3538,3539,3542,3545,3548,3551,3555,3558,3561],{"class":3515,"line":552},[3513,3540,3541],{"class":3519},"python3.12",[3513,3543,3544],{"class":3532}," -m",[3513,3546,3547],{"class":3523}," venv",[3513,3549,3550],{"class":3523}," .venv",[3513,3552,3554],{"class":3553},"sVt8B"," && ",[3513,3556,3557],{"class":3532},"source",[3513,3559,3560],{"class":3523}," .venv\u002Fbin\u002Factivate",[3513,3562,3564],{"class":3563},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[3513,3566,3567,3570,3573,3576],{"class":3515,"line":613},[3513,3568,3569],{"class":3519},"pip",[3513,3571,3572],{"class":3523}," install",[3513,3574,3575],{"class":3532}," -r",[3513,3577,3578],{"class":3523}," requirements.txt\n",[3513,3580,3581,3584,3586],{"class":3515,"line":614},[3513,3582,3583],{"class":3519},"playwright",[3513,3585,3572],{"class":3523},[3513,3587,3588],{"class":3523}," chromium\n",[3513,3590,3592],{"class":3515,"line":3591},6,[3513,3593,3594],{"emptyLinePlaceholder":586},"\n",[3513,3596,3597],{"class":3515,"line":6},[3513,3598,3599],{"class":3563},"# 配 LLM API\n",[3513,3601,3602,3605,3608],{"class":3515,"line":9},[3513,3603,3604],{"class":3519},"cp",[3513,3606,3607],{"class":3523}," config\u002Fconfig.example.toml",[3513,3609,3610],{"class":3523}," config\u002Fconfig.toml\n",[3513,3612,3614],{"class":3515,"line":3613},9,[3513,3615,3616],{"class":3563},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[3513,3618,3619],{"class":3515,"line":8},[3513,3620,3594],{"emptyLinePlaceholder":586},[3513,3622,3624],{"class":3515,"line":3623},11,[3513,3625,3626],{"class":3563},"# 单 agent 模式\n",[3513,3628,3630,3633],{"class":3515,"line":3629},12,[3513,3631,3632],{"class":3519},"python",[3513,3634,3635],{"class":3523}," main.py\n",[3513,3637,3639],{"class":3515,"line":3638},13,[3513,3640,3594],{"emptyLinePlaceholder":586},[3513,3642,3644],{"class":3515,"line":3643},14,[3513,3645,3646],{"class":3563},"# 多 agent 模式\n",[3513,3648,3650,3652],{"class":3515,"line":3649},15,[3513,3651,3632],{"class":3519},[3513,3653,3654],{"class":3523}," run_flow.py\n",[33,3656,3657],{},"试任务示例：",[2157,3659,3662],{"className":3660,"code":3661,"language":2162},[2160],"> 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",[2164,3663,3661],{"__ignoreMap":551},[28,3665,237],{"id":237},[239,3667,3668,3685],{},[242,3669,3670],{},[245,3671,3672,3674,3676,3679,3682],{},[248,3673,250],{},[248,3675,3317],{},[248,3677,3678],{},"LangChain",[248,3680,3681],{},"AutoGPT",[248,3683,3684],{},"CrewAI",[263,3686,3687,3703,3717,3729,3744,3757,3771,3785,3802,3815],{},[245,3688,3689,3691,3694,3697,3700],{},[268,3690,864],{},[268,3692,3693],{},"现成 agent 实现",[268,3695,3696],{},"building blocks",[268,3698,3699],{},"早期通用 agent",[268,3701,3702],{},"多 agent 框架",[245,3704,3705,3708,3711,3713,3715],{},[268,3706,3707],{},"浏览器自动化",[268,3709,3710],{},"✅ Playwright",[268,3712,354],{},[268,3714,339],{},[268,3716,354],{},[245,3718,3719,3721,3723,3725,3727],{},[268,3720,334],{},[268,3722,289],{},[268,3724,339],{},[268,3726,354],{},[268,3728,354],{},[245,3730,3731,3734,3737,3740,3742],{},[268,3732,3733],{},"多 agent",[268,3735,3736],{},"✅ orchestration",[268,3738,3739],{},"需自搭",[268,3741,382],{},[268,3743,342],{},[245,3745,3746,3749,3751,3753,3755],{},[268,3747,3748],{},"DataAnalysis 内置",[268,3750,289],{},[268,3752,354],{},[268,3754,354],{},[268,3756,354],{},[245,3758,3759,3762,3765,3767,3769],{},[268,3760,3761],{},"RL 微调",[268,3763,3764],{},"✅ OpenManus-RL",[268,3766,354],{},[268,3768,354],{},[268,3770,354],{},[245,3772,3773,3776,3779,3781,3783],{},[268,3774,3775],{},"协议",[268,3777,3778],{},"MIT",[268,3780,3778],{},[268,3782,3778],{},[268,3784,3778],{},[245,3786,3787,3790,3793,3796,3799],{},[268,3788,3789],{},"Stars",[268,3791,3792],{},"52k+",[268,3794,3795],{},"100k+",[268,3797,3798],{},"170k+",[268,3800,3801],{},"30k+",[245,3803,3804,3806,3808,3811,3813],{},[268,3805,210],{},[268,3807,1499],{},[268,3809,3810],{},"难",[268,3812,1499],{},[268,3814,1499],{},[245,3816,3817,3819,3822,3825,3828],{},[268,3818,393],{},[268,3820,3821],{},"自托管 Manus 复刻",[268,3823,3824],{},"底层 framework",[268,3826,3827],{},"学习经典",[268,3829,3830],{},"多 agent 协作",[28,3832,408],{"id":408},[43,3834,3835,3841,3851,3857,3863,3869,3875,3881,3885],{},[46,3836,3837,3840],{},[49,3838,3839],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[46,3842,3843,3846,3847,3850],{},[49,3844,3845],{},"Playwright 依赖大","：首次 ",[2164,3848,3849],{},"playwright install"," 下 chromium 慢，国内走镜像",[46,3852,3853,3856],{},[49,3854,3855],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[46,3858,3859,3862],{},[49,3860,3861],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[46,3864,3865,3868],{},[49,3866,3867],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[46,3870,3871,3874],{},[49,3872,3873],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[46,3876,3877,3880],{},[49,3878,3879],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[46,3882,3883,464],{},[49,3884,463],{},[46,3886,3887,3890],{},[49,3888,3889],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[28,3892,468],{"id":467},[43,3894,3895,3898,3901,3904,3907,3910,3913,3916],{},[46,3896,3897],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[46,3899,3900],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[46,3902,3903],{},"✅ 隐私敏感 + 不愿数据上商业云",[46,3905,3906],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[46,3908,3909],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[46,3911,3912],{},"❌ 要 GUI \u002F 上手即用",[46,3914,3915],{},"❌ 生产级稳定（文档滞后 + 演进快）",[46,3917,3918],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[28,3920,497],{"id":497},[43,3922,3923,3928,3933],{},[46,3924,3925],{},[503,3926,3927],{"href":3321},"Langflow 评测",[46,3929,3930],{},[503,3931,3932],{"href":3324},"n8n 评测",[46,3934,3935],{},[503,3936,3937],{"href":3327},"Composio 评测",[28,3939,518],{"id":518},[212,3941,3942,3949,3956,3963],{},[46,3943,3944,3945],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[503,3946,3947],{"href":3947,"rel":3948},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[528],[46,3950,3951,3952],{},"Foundation Agents — OpenManus 项目介绍 ",[503,3953,3954],{"href":3954,"rel":3955},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[528],[46,3957,3958,3959],{},"Toolsverse — OpenManus 评测 + 52k stars ",[503,3960,3961],{"href":3961,"rel":3962},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[528],[46,3964,3965,3966],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[503,3967,3968],{"href":3968,"rel":3969},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[528],[3971,3972,3973],"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":551,"searchDepth":552,"depth":552,"links":3975},[3976,3977,3978,3979,3980,3981,3982,3983,3984,3985],{"id":30,"depth":555,"text":31},{"id":41,"depth":555,"text":41},{"id":115,"depth":555,"text":115},{"id":3441,"depth":555,"text":3442},{"id":210,"depth":555,"text":210},{"id":237,"depth":555,"text":237},{"id":408,"depth":555,"text":408},{"id":467,"depth":555,"text":468},{"id":497,"depth":555,"text":497},{"id":518,"depth":555,"text":518},"\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。",[3989,3992,3995,3998],{"q":3990,"a":3991},"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":3993,"a":3994},"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":3996,"a":3997},"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":3999,"a":4000},"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。",[584,1142,1143],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[592,590,591,4005],"docker",[4007],{"plan":3428,"price":1152,"features":4008,"notes":4009},"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）",[4012],{"name":4013,"url":4014},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":614,"ux":552,"price":614,"cn_support":613,"stability":552},{"title":3317,"description":3987},"agent\u002Fgeneral\u002Fopenmanus",[4019,4021,4023,4025],{"name":4020,"url":3947,"accessed":619},"OpenManus GitHub（FoundationAgents 组织）",{"name":4022,"url":3954,"accessed":619},"Foundation Agents — OpenManus 项目介绍",{"name":4024,"url":3961,"accessed":619},"Toolsverse — OpenManus 评测 + 52k stars",{"name":4026,"url":3968,"accessed":619},"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",[4030,1744,4031,4032,4033,4034],"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",1782316489325]