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$0",[27,147,149],{"id":148},"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）",[32,151,152],{},[53,153,154],{},"亮点：",[47,156,157,160,163,166,169,172,175,178],{},[50,158,159],{},"52k stars 印证社区认同度 + 活跃度",[50,161,162],{},"MetaGPT 团队背景保证架构质量",[50,164,165],{},"多 agent 协作场景比单 agent 实现稳得多",[50,167,168],{},"Playwright 浏览器自动化非常完整",[50,170,171],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[50,173,174],{},"DataAnalysis 内置 agent 模式开箱即用",[50,176,177],{},"中文支持自然（Qwen VL Plus 接入）",[50,179,180],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[32,182,183],{},[53,184,185],{},"踩坑：",[47,187,188,191,194,197,200,203,206,209],{},[50,189,190],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[50,192,193],{},"文档滞后新功能 1-2 个月",[50,195,196],{},"无官方 GUI，监控 UI 在做但不完整",[50,198,199],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[50,201,202],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[50,204,205],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[50,207,208],{},"中文 prompt 效果依赖底层模型",[50,210,211],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 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var(--shiki-dark-text-decoration);}",{"title":221,"searchDepth":252,"depth":252,"links":721},[722,723,724,725,726,727,728,729,730,731],{"id":29,"depth":242,"text":30},{"id":45,"depth":242,"text":45},{"id":128,"depth":242,"text":128},{"id":148,"depth":242,"text":149},{"id":214,"depth":242,"text":214},{"id":385,"depth":242,"text":385},{"id":569,"depth":242,"text":569},{"id":632,"depth":242,"text":633},{"id":662,"depth":242,"text":662},{"id":683,"depth":242,"text":683},"general","\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。",false,"md",[738,741,744,747],{"q":739,"a":740},"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":742,"a":743},"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":745,"a":746},"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":748,"a":749},"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。",[751,752,753],"en","zh","multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus","agent",[758,759,760,761],"linux","macos","windows","docker",[763],{"plan":135,"price":764,"features":765,"notes":766},"$0","MIT 协议 + 全部功能 + 自托管 + 多 agent + 浏览器 + MCP + DataAnalysis + OpenManus-RL","LLM API 自付","MIT 完全免费开源 \u002F 用户自付 LLM API（GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus 任选）","2026-06-19",[770],{"name":771,"url":772},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":296,"ux":252,"price":296,"cn_support":281,"stability":252},{"title":11,"description":734},"agent\u002Fgeneral\u002Fopenmanus",[777,780,782,784],{"name":778,"url":692,"accessed":779},"OpenManus GitHub（FoundationAgents 组织）","2026-06-24",{"name":781,"url":700,"accessed":779},"Foundation Agents — OpenManus 项目介绍",{"name":783,"url":707,"accessed":779},"Toolsverse — OpenManus 评测 + 52k stars",{"name":785,"url":714,"accessed":779},"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",[789,790,791,792,793,794],"opensource","multi-agent","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",{"ok":310,"slug":798,"viewCount":799,"clickCount":799,"avgRating":799,"ratingCount":799},"agent%2Fgeneral%2Fopenmanus",0,[801,1373,1923,2480,3451,4040],{"id":802,"title":803,"alternatives":804,"api_compatible":22,"body":814,"category":732,"chinese_friendly":252,"cover":1314,"description":1315,"domestic":735,"extension":736,"faq":1316,"free":735,"github":22,"languages":1329,"meta":1330,"models":22,"navigation":310,"notSuitable":22,"opensource":735,"path":1331,"pillar":756,"platforms":1332,"priceTable":1333,"pricing":1346,"published":768,"relatedPlaybooks":1347,"relatedReviews":22,"score":1351,"self_host":735,"seo":1352,"slug":1353,"sources":1354,"stem":1362,"suitable":22,"tagline":1363,"tags":1364,"updated":779,"verdict":1370,"website":1371,"__hash__":1372},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[805,808,811],{"name":806,"url":807},"claude-desktop","\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",{"name":809,"url":810},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":812,"url":813},"flowith","\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith",{"type":24,"value":815,"toc":1302},[816,818,821,824,826,894,896,919,925,929,933,956,960,986,988,1011,1013,1167,1169,1223,1225,1251,1253,1270,1272],[27,817,30],{"id":29},[32,819,820],{},"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。",[32,822,823],{},"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。",[27,825,45],{"id":45},[47,827,828,834,840,846,852,858,864,870,876,882,888],{},[50,829,830,833],{},[53,831,832],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[50,835,836,839],{},[53,837,838],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[50,841,842,845],{},[53,843,844],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[50,847,848,851],{},[53,849,850],{},"200+ Skills","：power user 社区贡献的能力包",[50,853,854,857],{},[53,855,856],{},"MCP 集成","：可调用 MCP server 工具",[50,859,860,863],{},[53,861,862],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[50,865,866,869],{},[53,867,868],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[50,871,872,875],{},[53,873,874],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[50,877,878,881],{},[53,879,880],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[50,883,884,887],{},[53,885,886],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[50,889,890,893],{},[53,891,892],{},"3 周免费试用","：体验完整再决策",[27,895,128],{"id":128},[47,897,898,904,910,916],{},[50,899,900,903],{},[53,901,902],{},"Free Trial","：3 周完整功能，无信用卡",[50,905,906,909],{},[53,907,908],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[50,911,912,915],{},[53,913,914],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[50,917,918],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[920,921,922],"blockquote",{},[32,923,924],{},"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。",[27,926,928],{"id":927},"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）",[32,930,931],{},[53,932,154],{},[47,934,935,938,941,944,947,950,953],{},[50,936,937],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[50,939,940],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[50,942,943],{},"50+ Assistants 节省 prompt engineering 时间",[50,945,946],{},"数据本地 + 无 telemetry，隐私党非常友好",[50,948,949],{},"一次买断 vs 多家月费的累计性价比高",[50,951,952],{},"BYO API 让账单透明，不会有平台抽成",[50,954,955],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[32,957,958],{},[53,959,185],{},[47,961,962,965,968,971,974,977,980,983],{},[50,963,964],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[50,966,967],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[50,969,970],{},"移动端缺失，出门用不上",[50,972,973],{},"Linux 版本更新偶尔比 macOS 慢",[50,975,976],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[50,978,979],{},"50+ Assistants 质量参差，要挑高赞的用",[50,981,982],{},"团队协作 \u002F 云同步不是产品重点",[50,984,985],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[27,987,214],{"id":214},[685,989,990,993,996,999,1002,1005,1008],{},[50,991,992],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[50,994,995],{},"启动 → 3 周免费试用激活",[50,997,998],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[50,1000,1001],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[50,1003,1004],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[50,1006,1007],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[50,1009,1010],{},"满意后选 Personal $59 \u002F Business $99 买断",[27,1012,385],{"id":385},[387,1014,1015,1032],{},[390,1016,1017],{},[393,1018,1019,1021,1023,1026,1029],{},[396,1020,398],{},[396,1022,803],{},[396,1024,1025],{},"Raycast AI",[396,1027,1028],{},"Claude Desktop",[396,1030,1031],{},"ChatGPT Desktop",[411,1033,1034,1050,1066,1082,1097,1109,1122,1138,1151],{},[393,1035,1036,1039,1042,1045,1048],{},[416,1037,1038],{},"全局 hotkey",[416,1040,1041],{},"✅ 顶级",[416,1043,1044],{},"✅ Raycast",[416,1046,1047],{},"弱",[416,1049,1047],{},[393,1051,1052,1055,1057,1060,1063],{},[416,1053,1054],{},"BYO API",[416,1056,454],{},[416,1058,1059],{},"❌ 内置",[416,1061,1062],{},"❌ Anthropic",[416,1064,1065],{},"❌ OpenAI",[393,1067,1068,1071,1074,1077,1080],{},[416,1069,1070],{},"一次买断",[416,1072,1073],{},"✅ $59-99",[416,1075,1076],{},"$10\u002F月",[416,1078,1079],{},"$20\u002F月",[416,1081,1079],{},[393,1083,1084,1087,1089,1091,1094],{},[416,1085,1086],{},"多模型一窗",[416,1088,454],{},[416,1090,454],{},[416,1092,1093],{},"Claude only",[416,1095,1096],{},"OpenAI only",[393,1098,1099,1101,1103,1105,1107],{},[416,1100,451],{},[416,1102,454],{},[416,1104,444],{},[416,1106,477],{},[416,1108,444],{},[393,1110,1111,1113,1116,1118,1120],{},[416,1112,874],{},[416,1114,1115],{},"✅ 零云",[416,1117,441],{},[416,1119,441],{},[416,1121,441],{},[393,1123,1124,1127,1130,1133,1135],{},[416,1125,1126],{},"平台",[416,1128,1129],{},"macOS\u002FWin\u002FLinux",[416,1131,1132],{},"macOS only",[416,1134,1129],{},[416,1136,1137],{},"macOS\u002FWin",[393,1139,1140,1143,1145,1147,1149],{},[416,1141,1142],{},"移动端",[416,1144,474],{},[416,1146,474],{},[416,1148,441],{},[416,1150,454],{},[393,1152,1153,1155,1158,1161,1164],{},[416,1154,554],{},[416,1156,1157],{},"全局 AI + 多模型 + 买断",[416,1159,1160],{},"Mac 启动器 + AI",[416,1162,1163],{},"MCP 生态",[416,1165,1166],{},"OpenAI 全家桶",[27,1168,569],{"id":569},[47,1170,1171,1177,1183,1189,1195,1201,1207,1213,1219],{},[50,1172,1173,1176],{},[53,1174,1175],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[50,1178,1179,1182],{},[53,1180,1181],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[50,1184,1185,1188],{},[53,1186,1187],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[50,1190,1191,1194],{},[53,1192,1193],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[50,1196,1197,1200],{},[53,1198,1199],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[50,1202,1203,1206],{},[53,1204,1205],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[50,1208,1209,1212],{},[53,1210,1211],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[50,1214,1215,1218],{},[53,1216,1217],{},"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",[50,1220,1221,623],{},[53,1222,622],{},[27,1224,633],{"id":632},[47,1226,1227,1230,1233,1236,1239,1242,1245,1248],{},[50,1228,1229],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[50,1231,1232],{},"✅ 多模型用户不想被单 vendor 锁定",[50,1234,1235],{},"✅ 隐私敏感 + 数据全本地",[50,1237,1238],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[50,1240,1241],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[50,1243,1244],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[50,1246,1247],{},"❌ 不想管理 API Key 的纯用户",[50,1249,1250],{},"❌ 中国大陆海外卡 + API 不可得",[27,1252,662],{"id":662},[47,1254,1255,1260,1265],{},[50,1256,1257],{},[668,1258,1259],{"href":807},"Claude Desktop 评测",[50,1261,1262],{},[668,1263,1264],{"href":810},"OpenClaw 评测",[50,1266,1267],{},[668,1268,1269],{"href":813},"Flowith 评测",[27,1271,683],{"id":683},[685,1273,1274,1281,1288,1295],{},[50,1275,1276,1277],{},"Alice 官网（heyalice.app）",[668,1278,1279],{"href":1279,"rel":1280},"https:\u002F\u002Fheyalice.app\u002F",[694],[50,1282,1283,1284],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[668,1285,1286],{"href":1286,"rel":1287},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[694],[50,1289,1290,1291],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[668,1292,1293],{"href":1293,"rel":1294},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[694],[50,1296,1297,1298],{},"Skywork — Alice AI Ultimate 2026 Guide ",[668,1299,1300],{"href":1300,"rel":1301},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[694],{"title":221,"searchDepth":252,"depth":252,"links":1303},[1304,1305,1306,1307,1308,1309,1310,1311,1312,1313],{"id":29,"depth":242,"text":30},{"id":45,"depth":242,"text":45},{"id":128,"depth":242,"text":128},{"id":927,"depth":242,"text":928},{"id":214,"depth":242,"text":214},{"id":385,"depth":242,"text":385},{"id":569,"depth":242,"text":569},{"id":632,"depth":242,"text":633},{"id":662,"depth":242,"text":662},{"id":683,"depth":242,"text":683},"\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。",[1317,1320,1323,1326],{"q":1318,"a":1319},"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":1321,"a":1322},"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":1324,"a":1325},"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":1327,"a":1328},"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。",[751],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",[759,760,758],[1334,1338,1342],{"plan":902,"price":1335,"features":1336,"notes":1337},"$0 · 3 周","完整功能体验","无信用卡",{"plan":908,"price":1339,"features":1340,"notes":1341},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":914,"price":1343,"features":1344,"notes":1345},"~$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",[1348],{"name":1349,"url":1350},"macOS 全局 AI 工作流","\u002Fplaybook\u002Fonboarding\u002Fmacos-global-ai-workflow",{"power":281,"ux":296,"price":281,"cn_support":252,"stability":281},{"title":803,"description":1315},"agent\u002Fgeneral\u002Falice",[1355,1356,1358,1360],{"name":1276,"url":1279,"accessed":779},{"name":1357,"url":1286,"accessed":779},"Comparateur-IA — Alice AI Review 2026",{"name":1359,"url":1293,"accessed":779},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1361,"url":1300,"accessed":779},"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",[1365,1366,1367,1368,1369,759],"desktop-assistant","multi-model","byo-api","privacy","hotkey","桌面 AI 助手里最像 Raycast 的存在——全局快捷键 + 一次买断 + 自带 API。重度多模型用户 + macOS 党 + 隐私敏感首选。要团队协作 \u002F 云同步走 Claude Desktop \u002F ChatGPT Team。","https:\u002F\u002Fheyalice.app","D4cSWts4Gbjfw2LPLECK9ae_inIY-gb4mF5L0saydBI",{"id":1374,"title":1375,"alternatives":1376,"api_compatible":22,"body":1383,"category":732,"chinese_friendly":281,"cover":1861,"description":1862,"domestic":735,"extension":736,"faq":1863,"free":735,"github":22,"languages":1876,"meta":1877,"models":22,"navigation":310,"notSuitable":22,"opensource":735,"path":813,"pillar":756,"platforms":1878,"priceTable":1882,"pricing":1898,"published":768,"relatedPlaybooks":1899,"relatedReviews":22,"score":1903,"self_host":735,"seo":1904,"slug":1905,"sources":1906,"stem":1915,"suitable":22,"tagline":1916,"tags":1917,"updated":779,"verdict":1921,"website":1826,"__hash__":1922},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[1377,1380,1382],{"name":1378,"url":1379},"genspark","\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",{"name":1381,"url":1331},"alice",{"name":806,"url":807},{"type":24,"value":1384,"toc":1849},[1385,1387,1390,1393,1395,1457,1459,1485,1490,1494,1498,1521,1525,1551,1553,1573,1575,1708,1710,1771,1773,1799,1801,1817,1819],[27,1386,30],{"id":29},[32,1388,1389],{},"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。",[32,1391,1392],{},"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。",[27,1394,45],{"id":45},[47,1396,1397,1403,1409,1415,1421,1427,1433,1439,1445,1451],{},[50,1398,1399,1402],{},[53,1400,1401],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[50,1404,1405,1408],{},[53,1406,1407],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[50,1410,1411,1414],{},[53,1412,1413],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[50,1416,1417,1420],{},[53,1418,1419],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[50,1422,1423,1426],{},[53,1424,1425],{},"多线程并行","：同时跑多个 thread，画布一览",[50,1428,1429,1432],{},[53,1430,1431],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[50,1434,1435,1438],{},[53,1436,1437],{},"iOS App","：2026 上线，移动 workspace 访问",[50,1440,1441,1444],{},[53,1442,1443],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[50,1446,1447,1450],{},[53,1448,1449],{},"商业授权","：Pro+ 包含商业使用权",[50,1452,1453,1456],{},[53,1454,1455],{},"Web Control UI","：浏览器原生，多设备同步",[27,1458,128],{"id":128},[47,1460,1461,1467,1473,1479],{},[50,1462,1463,1466],{},[53,1464,1465],{},"Free","：$0；300 一次性 credits（试水级）",[50,1468,1469,1472],{},[53,1470,1471],{},"Pro","：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[50,1474,1475,1478],{},[53,1476,1477],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[50,1480,1481,1484],{},[53,1482,1483],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[920,1486,1487],{},[32,1488,1489],{},"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。",[27,1491,1493],{"id":1492},"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）",[32,1495,1496],{},[53,1497,154],{},[47,1499,1500,1503,1506,1509,1512,1515,1518],{},[50,1501,1502],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[50,1504,1505],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[50,1507,1508],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[50,1510,1511],{},"40+ 模型一窗体内切换 + 对比",[50,1513,1514],{},"多设备同步流畅",[50,1516,1517],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[50,1519,1520],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[32,1522,1523],{},[53,1524,185],{},[47,1526,1527,1530,1533,1536,1539,1542,1545,1548],{},[50,1528,1529],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[50,1531,1532],{},"学习曲线明显，画布操作 + 节点连线要花时间",[50,1534,1535],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[50,1537,1538],{},"Free 300 credits 不够体验完整流程",[50,1540,1541],{},"Agent Neo 偶尔『过度自治』产出不可控",[50,1543,1544],{},"移动 iOS 体验不如桌面 Web",[50,1546,1547],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[50,1549,1550],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[27,1552,214],{"id":214},[685,1554,1555,1558,1561,1564,1567,1570],{},[50,1556,1557],{},"flowith.io → Free 注册 → 拿 300 credits",[50,1559,1560],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[50,1562,1563],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[50,1565,1566],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[50,1568,1569],{},"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",[50,1571,1572],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[27,1574,385],{"id":385},[387,1576,1577,1594],{},[390,1578,1579],{},[393,1580,1581,1583,1585,1588,1591],{},[396,1582,398],{},[396,1584,1375],{},[396,1586,1587],{},"Genspark",[396,1589,1590],{},"ChatGPT",[396,1592,1593],{},"Claude",[411,1595,1596,1611,1628,1645,1662,1677,1692],{},[393,1597,1598,1600,1603,1606,1609],{},[416,1599,418],{},[416,1601,1602],{},"无限画布 + 节点",[416,1604,1605],{},"多 Agent + Sparkpage",[416,1607,1608],{},"线性 chat",[416,1610,1608],{},[393,1612,1613,1616,1619,1622,1625],{},[416,1614,1615],{},"自治 agent",[416,1617,1618],{},"✅ Neo 1000+ 步",[416,1620,1621],{},"✅ Super Agent",[416,1623,1624],{},"✅ Operator",[416,1626,1627],{},"❌（API 走）",[393,1629,1630,1633,1636,1639,1642],{},[416,1631,1632],{},"上下文",[416,1634,1635],{},"10M token",[416,1637,1638],{},"200K",[416,1640,1641],{},"1M（GPT-5）",[416,1643,1644],{},"1M（Claude）",[393,1646,1647,1650,1653,1656,1659],{},[416,1648,1649],{},"模型数",[416,1651,1652],{},"40+",[416,1654,1655],{},"多家",[416,1657,1658],{},"OpenAI",[416,1660,1661],{},"Anthropic",[393,1663,1664,1667,1670,1672,1675],{},[416,1665,1666],{},"Knowledge base",[416,1668,1669],{},"✅ Seeds",[416,1671,441],{},[416,1673,1674],{},"Projects",[416,1676,1674],{},[393,1678,1679,1682,1685,1688,1690],{},[416,1680,1681],{},"起价",[416,1683,1684],{},"$19.90\u002F月",[416,1686,1687],{},"$25\u002F月",[416,1689,1079],{},[416,1691,1079],{},[393,1693,1694,1696,1699,1702,1705],{},[416,1695,554],{},[416,1697,1698],{},"深度多线程 + 长任务",[416,1700,1701],{},"全能 Super Agent",[416,1703,1704],{},"通用",[416,1706,1707],{},"Coding \u002F 长文",[27,1709,569],{"id":569},[47,1711,1712,1718,1724,1730,1736,1742,1748,1754,1759,1765],{},[50,1713,1714,1717],{},[53,1715,1716],{},"从 Pro 起","：Free 300 credits 玩不出深度",[50,1719,1720,1723],{},[53,1721,1722],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[50,1725,1726,1729],{},[53,1727,1728],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[50,1731,1732,1735],{},[53,1733,1734],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[50,1737,1738,1741],{},[53,1739,1740],{},"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",[50,1743,1744,1747],{},[53,1745,1746],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[50,1749,1750,1753],{},[53,1751,1752],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[50,1755,1756,1758],{},[53,1757,1142],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[50,1760,1761,1764],{},[53,1762,1763],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[50,1766,1767,1770],{},[53,1768,1769],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[27,1772,633],{"id":632},[47,1774,1775,1778,1781,1784,1787,1790,1793,1796],{},[50,1776,1777],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[50,1779,1780],{},"✅ 要 10M token 超长上下文做综合分析",[50,1782,1783],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[50,1785,1786],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[50,1788,1789],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[50,1791,1792],{},"❌ 预算极紧 + 不愿学习曲线",[50,1794,1795],{},"❌ 线性思维 + 单线程偏好",[50,1797,1798],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[27,1800,662],{"id":662},[47,1802,1803,1808,1813],{},[50,1804,1805],{},[668,1806,1807],{"href":1379},"Genspark 评测",[50,1809,1810],{},[668,1811,1812],{"href":1331},"Alice 评测",[50,1814,1815],{},[668,1816,1259],{"href":807},[27,1818,683],{"id":683},[685,1820,1821,1828,1835,1842],{},[50,1822,1823,1824],{},"Flowith 官网 + Pricing ",[668,1825,1826],{"href":1826,"rel":1827},"https:\u002F\u002Fflowith.io",[694],[50,1829,1830,1831],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[668,1832,1833],{"href":1833,"rel":1834},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[694],[50,1836,1837,1838],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[668,1839,1840],{"href":1840,"rel":1841},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[694],[50,1843,1844,1845],{},"OpenTools — Flowith Review May 2026 ",[668,1846,1847],{"href":1847,"rel":1848},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[694],{"title":221,"searchDepth":252,"depth":252,"links":1850},[1851,1852,1853,1854,1855,1856,1857,1858,1859,1860],{"id":29,"depth":242,"text":30},{"id":45,"depth":242,"text":45},{"id":128,"depth":242,"text":128},{"id":1492,"depth":242,"text":1493},{"id":214,"depth":242,"text":214},{"id":385,"depth":242,"text":385},{"id":569,"depth":242,"text":569},{"id":632,"depth":242,"text":633},{"id":662,"depth":242,"text":662},{"id":683,"depth":242,"text":683},"\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。",[1864,1867,1870,1873],{"q":1865,"a":1866},"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":1868,"a":1869},"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":1871,"a":1872},"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":1874,"a":1875},"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。",[751,752,753],{},[1879,1880,1881],"web","ios","macos-flowithos",[1883,1887,1890,1894],{"plan":1884,"price":764,"features":1885,"notes":1886},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":1471,"price":1684,"features":1888,"notes":1889},"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":1477,"price":1891,"features":1892,"notes":1893},"$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":1483,"price":1895,"features":1896,"notes":1897},"$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）",[1900],{"name":1901,"url":1902},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":296,"ux":281,"price":252,"cn_support":281,"stability":281},{"title":1375,"description":1862},"agent\u002Fgeneral\u002Fflowith",[1907,1909,1911,1913],{"name":1908,"url":1826,"accessed":779},"Flowith 官网",{"name":1910,"url":1833,"accessed":779},"Toolworthy — Flowith Review 2026",{"name":1912,"url":1840,"accessed":779},"BlockSentient — Flowith 2026 详细评测",{"name":1914,"url":1847,"accessed":779},"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",[1918,1366,1919,1920,812],"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":1924,"title":1587,"alternatives":1925,"api_compatible":22,"body":1929,"category":732,"chinese_friendly":281,"cover":2426,"description":2427,"domestic":735,"extension":736,"faq":2428,"free":735,"github":22,"languages":2441,"meta":2442,"models":22,"navigation":310,"notSuitable":22,"opensource":735,"path":1379,"pillar":756,"platforms":2443,"priceTable":2445,"pricing":2454,"published":768,"relatedPlaybooks":2455,"relatedReviews":22,"score":2459,"self_host":735,"seo":2460,"slug":2461,"sources":2462,"stem":2471,"suitable":22,"tagline":2472,"tags":2473,"updated":779,"verdict":2477,"website":2478,"__hash__":2479},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[1926,1927,1928],{"name":812,"url":813},{"name":806,"url":807},{"name":1381,"url":1331},{"type":24,"value":1930,"toc":2414},[1931,1933,1936,1939,1941,2015,2017,2041,2046,2050,2054,2077,2081,2107,2109,2129,2131,2280,2282,2338,2340,2366,2368,2382,2384],[27,1932,30],{"id":29},[32,1934,1935],{},"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。",[32,1937,1938],{},"适合：要一站式 Super Agent 完成完整工作流（研究 → 文档 → 演示 → 网站）；重度内容创作者 + 营销 \u002F 销售（Call For Me 跟进）；中级专业用户（Plus $25 \u002F 月划算）。不适合：纯研究问答（Perplexity \u002F ChatGPT 更便宜）；预算极紧（credit 消耗快）；需要透明引用 \u002F 学术严谨（Sparkpage 引用不如 Perplexity 清晰）；要画布多线程（用 Flowith）。",[27,1940,45],{"id":45},[47,1942,1943,1949,1955,1961,1967,1973,1979,1985,1991,1997,2003,2009],{},[50,1944,1945,1948],{},[53,1946,1947],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[50,1950,1951,1954],{},[53,1952,1953],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[50,1956,1957,1960],{},[53,1958,1959],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[50,1962,1963,1966],{},[53,1964,1965],{},"AI Slides","：10-15 张幻灯片含图表",[50,1968,1969,1972],{},[53,1970,1971],{},"AI Sites","：完整 landing page 一键生成",[50,1974,1975,1978],{},[53,1976,1977],{},"AI Video","：30-60s 短视频生成",[50,1980,1981,1984],{},[53,1982,1983],{},"AI Pods","：10 分钟 AI podcast 生成",[50,1986,1987,1990],{},[53,1988,1989],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[50,1992,1993,1996],{},[53,1994,1995],{},"AI Sheets","：CSV 数据分析 + 自动图表",[50,1998,1999,2002],{},[53,2000,2001],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[50,2004,2005,2008],{},[53,2006,2007],{},"iOS \u002F Android App","：移动端可用",[50,2010,2011,2014],{},[53,2012,2013],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[27,2016,128],{"id":128},[47,2018,2019,2024,2030,2035],{},[50,2020,2021,2023],{},[53,2022,1465],{},"：100-200 daily credits（~3-8 简单任务）",[50,2025,2026,2029],{},[53,2027,2028],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[50,2031,2032,2034],{},[53,2033,1471],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[50,2036,2037,2040],{},[53,2038,2039],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[920,2042,2043],{},[32,2044,2045],{},"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。",[27,2047,2049],{"id":2048},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[32,2051,2052],{},[53,2053,154],{},[47,2055,2056,2059,2062,2065,2068,2071,2074],{},[50,2057,2058],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[50,2060,2061],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[50,2063,2064],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[50,2066,2067],{},"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",[50,2069,2070],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[50,2072,2073],{},"Sparkpage 输出可直接分享 + 嵌入",[50,2075,2076],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[32,2078,2079],{},[53,2080,185],{},[47,2082,2083,2086,2089,2092,2095,2098,2101,2104],{},[50,2084,2085],{},"credit 消耗不透明，复杂任务前难估算成本",[50,2087,2088],{},"用户反馈 customer support + refund 有问题",[50,2090,2091],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[50,2093,2094],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[50,2096,2097],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[50,2099,2100],{},"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",[50,2102,2103],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[50,2105,2106],{},"Pro $249 月价格陡，中端断档",[27,2108,214],{"id":214},[685,2110,2111,2114,2117,2120,2123,2126],{},[50,2112,2113],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[50,2115,2116],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[50,2118,2119],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[50,2121,2122],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[50,2124,2125],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[50,2127,2128],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[27,2130,385],{"id":385},[387,2132,2133,2149],{},[390,2134,2135],{},[393,2136,2137,2139,2141,2143,2146],{},[396,2138,398],{},[396,2140,1587],{},[396,2142,1375],{},[396,2144,2145],{},"Perplexity Pro",[396,2147,2148],{},"ChatGPT Plus",[411,2150,2151,2166,2181,2195,2209,2224,2237,2250,2265],{},[393,2152,2153,2155,2158,2161,2163],{},[416,2154,1947],{},[416,2156,2157],{},"✅ 多 Agent",[416,2159,2160],{},"✅ Neo 自治",[416,2162,441],{},[416,2164,2165],{},"Operator",[393,2167,2168,2171,2174,2177,2179],{},[416,2169,2170],{},"可视化输出",[416,2172,2173],{},"✅ Sparkpage",[416,2175,2176],{},"✅ 画布",[416,2178,441],{},[416,2180,441],{},[393,2182,2183,2186,2189,2191,2193],{},[416,2184,2185],{},"真实电话调用",[416,2187,2188],{},"✅ Call For Me",[416,2190,441],{},[416,2192,441],{},[416,2194,441],{},[393,2196,2197,2200,2203,2205,2207],{},[416,2198,2199],{},"一键建站",[416,2201,2202],{},"✅ AI Sites",[416,2204,441],{},[416,2206,441],{},[416,2208,441],{},[393,2210,2211,2214,2217,2219,2221],{},[416,2212,2213],{},"视频 \u002F 音频生成",[416,2215,2216],{},"✅ Video \u002F Pods",[416,2218,444],{},[416,2220,441],{},[416,2222,2223],{},"Sora（独立）",[393,2225,2226,2229,2231,2233,2235],{},[416,2227,2228],{},"引用透明",[416,2230,542],{},[416,2232,441],{},[416,2234,1041],{},[416,2236,444],{},[393,2238,2239,2241,2244,2246,2248],{},[416,2240,1681],{},[416,2242,2243],{},"$25\u002F月（Plus）",[416,2245,1684],{},[416,2247,1079],{},[416,2249,1079],{},[393,2251,2252,2255,2258,2260,2262],{},[416,2253,2254],{},"最贵",[416,2256,2257],{},"$249\u002F月",[416,2259,1895],{},[416,2261,1079],{},[416,2263,2264],{},"$200\u002F月",[393,2266,2267,2269,2272,2275,2278],{},[416,2268,554],{},[416,2270,2271],{},"一站式 Super Agent",[416,2273,2274],{},"画布深度",[416,2276,2277],{},"搜索引用",[416,2279,1704],{},[27,2281,569],{"id":569},[47,2283,2284,2290,2296,2302,2308,2314,2320,2326,2332],{},[50,2285,2286,2289],{},[53,2287,2288],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[50,2291,2292,2295],{},[53,2293,2294],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[50,2297,2298,2301],{},[53,2299,2300],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[50,2303,2304,2307],{},[53,2305,2306],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[50,2309,2310,2313],{},[53,2311,2312],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[50,2315,2316,2319],{},[53,2317,2318],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[50,2321,2322,2325],{},[53,2323,2324],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[50,2327,2328,2331],{},[53,2329,2330],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[50,2333,2334,2337],{},[53,2335,2336],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[27,2339,633],{"id":632},[47,2341,2342,2345,2348,2351,2354,2357,2360,2363],{},[50,2343,2344],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[50,2346,2347],{},"✅ Plus $25 重度多模型不限 chat 用户",[50,2349,2350],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[50,2352,2353],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[50,2355,2356],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[50,2358,2359],{},"❌ 学术严谨场景",[50,2361,2362],{},"❌ 预算极紧",[50,2364,2365],{},"❌ 要画布 + 多线程深度（用 Flowith）",[27,2367,662],{"id":662},[47,2369,2370,2374,2378],{},[50,2371,2372],{},[668,2373,1269],{"href":813},[50,2375,2376],{},[668,2377,1259],{"href":807},[50,2379,2380],{},[668,2381,1812],{"href":1331},[27,2383,683],{"id":683},[685,2385,2386,2393,2400,2407],{},[50,2387,2388,2389],{},"Genspark Pricing 官方 ",[668,2390,2391],{"href":2391,"rel":2392},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[694],[50,2394,2395,2396],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[668,2397,2398],{"href":2398,"rel":2399},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[694],[50,2401,2402,2403],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[668,2404,2405],{"href":2405,"rel":2406},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[694],[50,2408,2409,2410],{},"Lindy — Genspark Features 2026 Tested ",[668,2411,2412],{"href":2412,"rel":2413},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[694],{"title":221,"searchDepth":252,"depth":252,"links":2415},[2416,2417,2418,2419,2420,2421,2422,2423,2424,2425],{"id":29,"depth":242,"text":30},{"id":45,"depth":242,"text":45},{"id":128,"depth":242,"text":128},{"id":2048,"depth":242,"text":2049},{"id":214,"depth":242,"text":214},{"id":385,"depth":242,"text":385},{"id":569,"depth":242,"text":569},{"id":632,"depth":242,"text":633},{"id":662,"depth":242,"text":662},{"id":683,"depth":242,"text":683},"\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。",[2429,2432,2435,2438],{"q":2430,"a":2431},"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":2433,"a":2434},"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":2436,"a":2437},"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":2439,"a":2440},"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。",[751,752,753],{},[1879,1880,2444],"android",[2446,2448,2451],{"plan":1465,"price":764,"features":2447,"notes":1886},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":2028,"price":1687,"features":2449,"notes":2450},"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":1471,"price":2257,"features":2452,"notes":2453},"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",[2456],{"name":2457,"url":2458},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":296,"ux":281,"price":252,"cn_support":252,"stability":281},{"title":1587,"description":2427},"agent\u002Fgeneral\u002Fgenspark",[2463,2465,2467,2469],{"name":2464,"url":2391,"accessed":779},"Genspark 官网 + Pricing",{"name":2466,"url":2398,"accessed":779},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":2468,"url":2405,"accessed":779},"Rimo — Genspark 2026 + ARR $250M",{"name":2470,"url":2412,"accessed":779},"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",[2474,790,2475,2476,1378],"super-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":2481,"title":2482,"alternatives":2483,"api_compatible":2487,"body":2488,"category":732,"chinese_friendly":281,"cover":3383,"description":3384,"domestic":735,"extension":736,"faq":22,"free":735,"github":22,"languages":3385,"meta":3386,"models":3387,"navigation":310,"notSuitable":3392,"opensource":735,"path":3397,"pillar":756,"platforms":3398,"priceTable":3399,"pricing":3414,"published":3415,"relatedPlaybooks":22,"relatedReviews":22,"score":3416,"self_host":735,"seo":3417,"slug":3418,"sources":3419,"stem":3435,"suitable":3436,"tagline":3442,"tags":3443,"updated":779,"verdict":3449,"website":2872,"__hash__":3450},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[2461,2484,2485,2486],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":24,"value":2489,"toc":3363},[2490,2492,2530,2535,2538,2602,2605,2610,2618,2623,2630,2634,2642,2708,2713,2717,2724,2728,2736,2741,2758,2761,2764,2767,2774,2777,2783,2838,2844,2850,2855,2861,2865,2906,2909,2948,2951,3123,3128,3145,3150,3170,3173,3239,3241,3244,3261,3264,3285,3287,3337,3339,3356],[27,2491,30],{"id":29},[2493,2494,2499,2515],"div",{"className":2495},[2496,2497,2498],"card","p-5","my-4",[32,2500,2501,2504,2505,2508,2509,2514],{},[53,2502,2503],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[53,2506,2507],{},"邀请码一度被炒到 ¥5 万-10 万","（",[668,2510,2513],{"href":2511,"rel":2512},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[694],"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。",[32,2516,2517,2518,2508,2521,2525,2526,2529],{},"2025-12 传被 ",[53,2519,2520],{},"Meta 以约 20-30 亿美元收购",[668,2522,2524],{"href":2511,"rel":2523},[694],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[53,2527,2528],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[920,2531,2532],{},[32,2533,2534],{},"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。",[27,2536,2537],{"id":2537},"背景与公司",[47,2539,2540,2551,2557,2563,2569,2580,2590,2596],{},[50,2541,2542,2545,2546,2550],{},[53,2543,2544],{},"公司","：Butterfly Effect Pte. Ltd.（",[668,2547,2549],{"href":2511,"rel":2548},[694],"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）",[50,2552,2553,2556],{},[53,2554,2555],{},"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）",[50,2558,2559,2562],{},[53,2560,2561],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[50,2564,2565,2568],{},[53,2566,2567],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[50,2570,2571,2574,2575,2579],{},[53,2572,2573],{},"Manus 启动","：2024-10 立项，灵感来自 ",[668,2576,2578],{"href":2577},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[50,2581,2582,2585,2586],{},[53,2583,2584],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[668,2587,2589],{"href":2511,"rel":2588},[694],"Demo 视频 20 小时百万播放",[50,2591,2592,2595],{},[53,2593,2594],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[50,2597,2598,2601],{},[53,2599,2600],{},"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",[27,2603,2604],{"id":2604},"核心特性",[2606,2607,2609],"h3",{"id":2608},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[32,2611,2612,2617],{},[668,2613,2616],{"href":2614,"rel":2615},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[694],"Pick Right 2026-04 评测"," 描述的架构：",[920,2619,2620],{},[32,2621,2622],{},"\"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.\"",[32,2624,2625,2626,2629],{},"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 ",[53,2627,2628],{},"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。",[2606,2631,2633],{"id":2632},"通用-agent-模式","通用 Agent 模式",[32,2635,2636,2641],{},[668,2637,2640],{"href":2638,"rel":2639},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[694],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[387,2643,2644,2654],{},[390,2645,2646],{},[393,2647,2648,2651],{},[396,2649,2650],{},"模型",[396,2652,2653],{},"GAIA 准确率",[411,2655,2656,2668,2676,2684,2692,2700],{},[393,2657,2658,2663],{},[416,2659,2660],{},[53,2661,2662],{},"Manus AI",[416,2664,2665],{},[53,2666,2667],{},">65%（SOTA）",[393,2669,2670,2673],{},[416,2671,2672],{},"H2O.ai (h2oGPTe)",[416,2674,2675],{},"65%",[393,2677,2678,2681],{},[416,2679,2680],{},"Google Langfun",[416,2682,2683],{},"49%",[393,2685,2686,2689],{},[416,2687,2688],{},"Microsoft o1",[416,2690,2691],{},"38%",[393,2693,2694,2697],{},[416,2695,2696],{},"OpenAI GPT-4o",[416,2698,2699],{},"32%",[393,2701,2702,2705],{},[416,2703,2704],{},"OpenAI GPT-4 + Plugins",[416,2706,2707],{},"15-30%",[920,2709,2710],{},[32,2711,2712],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[2606,2714,2716],{"id":2715},"后台执行-长任务","后台执行 + 长任务",[32,2718,2719,2720,2723],{},"最特别的体验：任务下达后",[53,2721,2722],{},"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。",[2606,2725,2727],{"id":2726},"web-app-builder","Web App Builder",[32,2729,2730,2731,2735],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[668,2732,2734],{"href":2614,"rel":2733},[694],"Pick Right 评测"," 直白警告：",[920,2737,2738],{},[32,2739,2740],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[32,2742,2743,2744,2748,2749,2748,2753,2757],{},"复杂场景下出 bug 多，目前不建议生产部署，",[668,2745,2747],{"href":2746},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[668,2750,2752],{"href":2751},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[668,2754,2756],{"href":2755},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[2606,2759,2760],{"id":2760},"桌面应用",[32,2762,2763],{},"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。",[2606,2765,2766],{"id":2766},"多模型路由",[32,2768,2769,2770,2773],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[53,2771,2772],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[27,2775,2776],{"id":2776},"价格与运行成本",[32,2778,2779,2782],{},[668,2780,2734],{"href":2614,"rel":2781},[694]," 公开档位：",[387,2784,2785,2797],{},[390,2786,2787],{},[393,2788,2789,2792,2794],{},[396,2790,2791],{},"档位",[396,2793,128],{},[396,2795,2796],{},"关键点",[411,2798,2799,2808,2817,2827],{},[393,2800,2801,2803,2805],{},[416,2802,1465],{},[416,2804,764],{},[416,2806,2807],{},"每日有限 credits，够 1 个高强度任务\u002F天",[393,2809,2810,2812,2814],{},[416,2811,1471],{},[416,2813,1079],{},[416,2815,2816],{},"大多数付费用户落点；中等 credit + 多模型",[393,2818,2819,2821,2824],{},[416,2820,2028],{},[416,2822,2823],{},"$50\u002F月",[416,2825,2826],{},"更高 credit + 优先队列，10+ 任务\u002F周",[393,2828,2829,2832,2835],{},[416,2830,2831],{},"Pro+ \u002F Team",[416,2833,2834],{},"最高 $200\u002F月",[416,2836,2837],{},"最大 credit + 团队空间（功能仍有限）",[32,2839,2840,2843],{},[53,2841,2842],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[32,2845,2846,56],{},[668,2847,2849],{"href":2614,"rel":2848},[694],"Pick Right 真实使用反馈",[920,2851,2852],{},[32,2853,2854],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[32,2856,2857,2860],{},[53,2858,2859],{},"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。",[27,2862,2864],{"id":2863},"上手-5-分钟","上手 5 分钟",[685,2866,2867,2875,2878,2891,2894,2900,2903],{},[50,2868,2869,2870],{},"打开 ",[668,2871,2874],{"href":2872,"rel":2873},"https:\u002F\u002Fmanus.im",[694],"manus.im",[50,2876,2877],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[50,2879,2880,2881,2884,2885],{},"给一个完整任务描述（",[53,2882,2883],{},"关键","：不要碎片化指令，给全场景）\n",[216,2886,2889],{"className":2887,"code":2888,"language":380},[378],"\"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",[36,2890,2888],{"__ignoreMap":221},[50,2892,2893],{},"选模型路由（Auto 推荐）",[50,2895,2896,2897,2899],{},"提交后",[53,2898,2722],{},"——任务在云端跑",[50,2901,2902],{},"完成后邮件 \u002F 站内通知",[50,2904,2905],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[27,2907,2908],{"id":2908},"国内使用注意事项",[685,2910,2911,2921,2927,2933],{},[50,2912,2913,56,2916,2920],{},[53,2914,2915],{},"大陆访问被屏蔽",[668,2917,2919],{"href":2511,"rel":2918},[694],"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",[50,2922,2923,2926],{},[53,2924,2925],{},"访问需稳定代理","：日韩 \u002F 美国节点",[50,2928,2929,2932],{},[53,2930,2931],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[50,2934,2935,2938,2939,2942,2943,2947],{},[53,2936,2937],{},"替代路径","：国内可考虑 ",[668,2940,1587],{"href":2941},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[668,2944,2946],{"href":2945},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[27,2949,2950],{"id":2950},"与同类怎么选",[387,2952,2953,2977],{},[390,2954,2955],{},[393,2956,2957,2959,2961,2967,2971,2974],{},[396,2958,398],{},[396,2960,2482],{},[396,2962,2963],{},[668,2964,2966],{"href":2965},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[396,2968,2969],{},[668,2970,1587],{"href":2941},[396,2972,2973],{},"ChatGPT Deep Research",[396,2975,2976],{},"GenAgent",[411,2978,2979,2998,3018,3037,3052,3068,3085,3103],{},[393,2980,2981,2984,2987,2990,2993,2996],{},[416,2982,2983],{},"核心定位",[416,2985,2986],{},"通用 Agent",[416,2988,2989],{},"AI 程序员",[416,2991,2992],{},"AI 搜索 + Agent",[416,2994,2995],{},"LLM Deep Research",[416,2997,1704],{},[393,2999,3000,3003,3006,3009,3012,3015],{},[416,3001,3002],{},"架构",[416,3004,3005],{},"多 sub-agent 并行",[416,3007,3008],{},"单 Agent + 沙盒",[416,3010,3011],{},"多模型",[416,3013,3014],{},"单模型",[416,3016,3017],{},"—",[393,3019,3020,3023,3026,3029,3032,3035],{},[416,3021,3022],{},"长任务",[416,3024,3025],{},"★★★★★ 小时级",[416,3027,3028],{},"★★★★★",[416,3030,3031],{},"★★★☆☆",[416,3033,3034],{},"★★★★☆",[416,3036,3031],{},[393,3038,3039,3042,3044,3046,3048,3050],{},[416,3040,3041],{},"引用密度",[416,3043,3028],{},[416,3045,3031],{},[416,3047,3034],{},[416,3049,3031],{},[416,3051,3031],{},[393,3053,3054,3057,3060,3062,3064,3066],{},[416,3055,3056],{},"App Builder",[416,3058,3059],{},"⚠️ 有但 buggy",[416,3061,474],{},[416,3063,474],{},[416,3065,474],{},[416,3067,474],{},[393,3069,3070,3073,3076,3079,3081,3083],{},[416,3071,3072],{},"中文",[416,3074,3075],{},"⚠️ 大陆屏蔽",[416,3077,3078],{},"⚠️",[416,3080,3028],{},[416,3082,3078],{},[416,3084,3034],{},[393,3086,3087,3089,3092,3095,3098,3101],{},[416,3088,128],{},[416,3090,3091],{},"$20-$200",[416,3093,3094],{},"$500\u002F月",[416,3096,3097],{},"$24.99\u002F月",[416,3099,3100],{},"随 ChatGPT Plus",[416,3102,3017],{},[393,3104,3105,3108,3111,3114,3117,3120],{},[416,3106,3107],{},"适合场景",[416,3109,3110],{},"research \u002F 数据分析",[416,3112,3113],{},"写代码 \u002F 修 bug",[416,3115,3116],{},"信息检索",[416,3118,3119],{},"单次深度研究",[416,3121,3122],{},"综合",[32,3124,3125,56],{},[53,3126,3127],{},"选 Manus 如果你",[47,3129,3130,3136,3139,3142],{},[50,3131,3132,3133],{},"重视 research \u002F 数据分析任务的 ",[53,3134,3135],{},"引用密度和结构化输出",[50,3137,3138],{},"想试\"开任务下班、明早看结果\"的工作流",[50,3140,3141],{},"海外 \u002F 能解决账号网络问题",[50,3143,3144],{},"预算 $20-$50\u002F月，重度用户",[32,3146,3147,56],{},[53,3148,3149],{},"别选 Manus 如果你",[47,3151,3152,3161,3164,3167],{},[50,3153,3154,3155,2748,3157,3160],{},"国内裸用（",[668,3156,1587],{"href":2941},[668,3158,3159],{"href":2945},"Yuanbao"," 更顺）",[50,3162,3163],{},"想生产部署 App（Web App Builder bug 多）",[50,3165,3166],{},"团队协作场景（功能不完善）",[50,3168,3169],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[27,3171,3172],{"id":3172},"避坑清单",[47,3174,3175,3181,3191,3197,3203,3215,3221,3227],{},[50,3176,3177,3180],{},[53,3178,3179],{},"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",[50,3182,3183,56,3186,3190],{},[53,3184,3185],{},"credit 烧得比官方页面暗示的快",[668,3187,3189],{"href":2614,"rel":3188},[694],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[50,3192,3193,3196],{},[53,3194,3195],{},"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",[50,3198,3199,3202],{},[53,3200,3201],{},"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",[50,3204,3205,3208,3209,3214],{},[53,3206,3207],{},"每次任务从零开始","：没有持久 workspace，不像 ",[668,3210,3213],{"href":3211,"rel":3212},"https:\u002F\u002Fclaude.com",[694],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[50,3216,3217,3220],{},[53,3218,3219],{},"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",[50,3222,3223,3226],{},[53,3224,3225],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[50,3228,3229,3232,3233,3238],{},[53,3230,3231],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[668,3234,3237],{"href":3235,"rel":3236},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[694],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[27,3240,633],{"id":632},[32,3242,3243],{},"✅ 适合：",[47,3245,3246,3249,3252,3255,3258],{},[50,3247,3248],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[50,3250,3251],{},"CSV \u002F Excel 重的数据分析任务",[50,3253,3254],{},"长任务 + 不想盯着看（小时级）",[50,3256,3257],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[50,3259,3260],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[32,3262,3263],{},"❌ 不适合：",[47,3265,3266,3269,3272,3275,3278],{},[50,3267,3268],{},"生产级应用部署",[50,3270,3271],{},"团队协作工作流",[50,3273,3274],{},"预算极敏感（free 档非常受限）",[50,3276,3277],{},"大陆稳定访问需求",[50,3279,3280,3281,3284],{},"需要深度持久上下文（用 ",[668,3282,3213],{"href":3211,"rel":3283},[694]," \u002F ChatGPT Custom GPT 等）",[27,3286,662],{"id":662},[47,3288,3289,3300,3311,3326],{},[50,3290,3291,3292,2748,3294,3296,3297,3299],{},"同类对比：",[668,3293,2966],{"href":2965},[668,3295,1587],{"href":2941}," \u002F Elicit \u002F ",[668,3298,3159],{"href":2945}," \u002F Metaso",[50,3301,3302,3303,2748,3307,3310],{},"概念：",[668,3304,3306],{"href":3305},"\u002Fwiki\u002Fai-agent.html","AI Agent",[668,3308,3309],{"href":3305},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[50,3312,3313,3314,2748,3318,2748,3322],{},"模型：",[668,3315,3317],{"href":3316},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[668,3319,3321],{"href":3320},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[668,3323,3325],{"href":3324},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[50,3327,3328,3329,2748,3333],{},"进阶：",[668,3330,3332],{"href":3331},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[668,3334,3336],{"href":3335},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[27,3338,683],{"id":683},[47,3340,3341,3347,3350,3353],{},[50,3342,3343,3344],{},"官网：",[668,3345,2872],{"href":2872,"rel":3346},[694],[50,3348,3349],{},"Wikipedia：\"Manus (AI agent)\" 条目",[50,3351,3352],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[50,3354,3355],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[32,3357,3358,3359,3362],{},"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 ",[668,3360,3361],{"href":3361},"\u002Fsubmit"," 反馈。",{"title":221,"searchDepth":252,"depth":252,"links":3364},[3365,3366,3367,3375,3376,3377,3378,3379,3380,3381,3382],{"id":29,"depth":242,"text":30},{"id":2537,"depth":242,"text":2537},{"id":2604,"depth":242,"text":2604,"children":3368},[3369,3370,3371,3372,3373,3374],{"id":2608,"depth":252,"text":2609},{"id":2632,"depth":252,"text":2633},{"id":2715,"depth":252,"text":2716},{"id":2726,"depth":252,"text":2727},{"id":2760,"depth":252,"text":2760},{"id":2766,"depth":252,"text":2766},{"id":2776,"depth":242,"text":2776},{"id":2863,"depth":242,"text":2864},{"id":2908,"depth":242,"text":2908},{"id":2950,"depth":242,"text":2950},{"id":3172,"depth":242,"text":3172},{"id":632,"depth":242,"text":633},{"id":662,"depth":242,"text":662},{"id":683,"depth":242,"text":683},"\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。",[752,751],{},[3388,3389,3390,3391],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[3393,3394,3395,3396],"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",[1879,760,759,758],[3400,3403,3407,3410],{"plan":1465,"price":764,"limit":3401,"cn_pay":3017,"note":3402},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1471,"price":1079,"limit":3404,"cn_pay":3405,"note":3406},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":2028,"price":2823,"limit":3408,"cn_pay":3078,"note":3409},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":3411,"price":2264,"limit":3412,"cn_pay":3078,"note":3413},"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":296,"ux":296,"price":252,"cn_support":281,"stability":252},{"title":2482,"description":3384},"agent\u002Fgeneral\u002Fmanus",[3420,3422,3425,3427,3429,3432],{"title":3421,"url":2872},"Manus 官网",{"title":3423,"url":3424},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":3426,"url":2614},"Manus AI Review 2026 (Pick Right)",{"title":3428,"url":2638},"Info-Tech Manus Assessment",{"title":3430,"url":3431},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":3433,"url":3434},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[3437,3438,3439,3440,3441],"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",[3444,3445,3446,790,3447,3448],"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":3452,"title":3453,"alternatives":3454,"api_compatible":22,"body":3464,"category":732,"chinese_friendly":252,"cover":3981,"description":3982,"domestic":735,"extension":736,"faq":3983,"free":735,"github":22,"languages":3995,"meta":3996,"models":22,"navigation":310,"notSuitable":22,"opensource":735,"path":3997,"pillar":756,"platforms":3998,"priceTable":3999,"pricing":4015,"published":768,"relatedPlaybooks":4016,"relatedReviews":22,"score":4020,"self_host":310,"seo":4021,"slug":4022,"sources":4023,"stem":4032,"suitable":22,"tagline":4033,"tags":4034,"updated":779,"verdict":4037,"website":4038,"__hash__":4039},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[3455,3458,3461],{"name":3456,"url":3457},"ollama","\u002Ftools\u002Fcoding\u002Flocal\u002Follama",{"name":3459,"url":3460},"lm-studio","\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio",{"name":3462,"url":3463},"open-webui","\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",{"type":24,"value":3465,"toc":3969},[3466,3468,3471,3474,3476,3550,3552,3577,3582,3586,3590,3616,3620,3646,3648,3671,3673,3833,3835,3890,3892,3918,3920,3937,3939],[27,3467,30],{"id":29},[32,3469,3470],{},"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。",[32,3472,3473],{},"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）。",[27,3475,45],{"id":45},[47,3477,3478,3484,3490,3496,3502,3508,3514,3520,3526,3532,3538,3544],{},[50,3479,3480,3483],{},[53,3481,3482],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[50,3485,3486,3489],{},[53,3487,3488],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[50,3491,3492,3495],{},[53,3493,3494],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[50,3497,3498,3501],{},[53,3499,3500],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[50,3503,3504,3507],{},[53,3505,3506],{},"Prompt Studio","：变量 + 模板 + 测试",[50,3509,3510,3513],{},[53,3511,3512],{},"Persona Studio","：自定义角色 + 工具 + context",[50,3515,3516,3519],{},[53,3517,3518],{},"Skills Studio","：可复用能力包",[50,3521,3522,3525],{},[53,3523,3524],{},"Agent Mode","：多步执行 + 工具调用",[50,3527,3528,3531],{},[53,3529,3530],{},"Flowchart 对话","：分支可视化",[50,3533,3534,3537],{},[53,3535,3536],{},"Real-time 数据","：实时 web fetch",[50,3539,3540,3543],{},[53,3541,3542],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[50,3545,3546,3549],{},[53,3547,3548],{},"Cloud Sync","（Aurum）：跨设备同步对话",[27,3551,128],{"id":128},[47,3553,3554,3559,3565,3571],{},[50,3555,3556,3558],{},[53,3557,1465],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[50,3560,3561,3564],{},[53,3562,3563],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[50,3566,3567,3570],{},[53,3568,3569],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[50,3572,3573,3576],{},[53,3574,3575],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[920,3578,3579],{},[32,3580,3581],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[27,3583,3585],{"id":3584},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[32,3587,3588],{},[53,3589,154],{},[47,3591,3592,3595,3598,3601,3604,3607,3610,3613],{},[50,3593,3594],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[50,3596,3597],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[50,3599,3600],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[50,3602,3603],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[50,3605,3606],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[50,3608,3609],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[50,3611,3612],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[50,3614,3615],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[32,3617,3618],{},[53,3619,185],{},[47,3621,3622,3625,3628,3631,3634,3637,3640,3643],{},[50,3623,3624],{},"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",[50,3626,3627],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[50,3629,3630],{},"桌面 only，无 iOS \u002F Android",[50,3632,3633],{},"llama.cpp 更新滞后官方上游 1-2 版本",[50,3635,3636],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[50,3638,3639],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[50,3641,3642],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[50,3644,3645],{},"中文 UI 不完整，部分功能仍是英文",[27,3647,214],{"id":214},[685,3649,3650,3653,3656,3659,3662,3665,3668],{},[50,3651,3652],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[50,3654,3655],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[50,3657,3658],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[50,3660,3661],{},"加云模型：OpenAI Key + Anthropic Key",[50,3663,3664],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[50,3666,3667],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[50,3669,3670],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[27,3672,385],{"id":385},[387,3674,3675,3692],{},[390,3676,3677],{},[393,3678,3679,3681,3683,3686,3689],{},[396,3680,398],{},[396,3682,3453],{},[396,3684,3685],{},"Ollama",[396,3687,3688],{},"LM Studio",[396,3690,3691],{},"Jan",[411,3693,3694,3709,3724,3737,3749,3762,3776,3791,3803,3817],{},[393,3695,3696,3699,3702,3705,3707],{},[416,3697,3698],{},"GUI",[416,3700,3701],{},"✅ 颜值高",[416,3703,3704],{},"❌ CLI",[416,3706,454],{},[416,3708,454],{},[393,3710,3711,3714,3717,3719,3722],{},[416,3712,3713],{},"本地引擎",[416,3715,3716],{},"MLX\u002Fllama.cpp\u002FOllama",[416,3718,3685],{},[416,3720,3721],{},"llama.cpp",[416,3723,3721],{},[393,3725,3726,3729,3731,3733,3735],{},[416,3727,3728],{},"云模型",[416,3730,454],{},[416,3732,474],{},[416,3734,474],{},[416,3736,444],{},[393,3738,3739,3741,3743,3745,3747],{},[416,3740,3494],{},[416,3742,477],{},[416,3744,474],{},[416,3746,444],{},[416,3748,441],{},[393,3750,3751,3753,3756,3758,3760],{},[416,3752,3500],{},[416,3754,3755],{},"✅ per-conv",[416,3757,474],{},[416,3759,474],{},[416,3761,444],{},[393,3763,3764,3767,3770,3772,3774],{},[416,3765,3766],{},"Studios",[416,3768,3769],{},"✅ Prompt\u002FPersona\u002FSkills",[416,3771,441],{},[416,3773,441],{},[416,3775,441],{},[393,3777,3778,3781,3783,3786,3788],{},[416,3779,3780],{},"开源",[416,3782,474],{},[416,3784,3785],{},"✅ MIT",[416,3787,474],{},[416,3789,3790],{},"✅ Apache 2.0",[393,3792,3793,3795,3797,3799,3801],{},[416,3794,1681],{},[416,3796,764],{},[416,3798,764],{},[416,3800,764],{},[416,3802,764],{},[393,3804,3805,3808,3811,3813,3815],{},[416,3806,3807],{},"终身",[416,3809,3810],{},"$349",[416,3812,441],{},[416,3814,441],{},[416,3816,441],{},[393,3818,3819,3821,3824,3827,3830],{},[416,3820,554],{},[416,3822,3823],{},"桌面颜值 + 多模型",[416,3825,3826],{},"CLI \u002F Server",[416,3828,3829],{},"模型市场",[416,3831,3832],{},"严格开源",[27,3834,569],{"id":569},[47,3836,3837,3843,3849,3855,3861,3867,3873,3879,3885],{},[50,3838,3839,3842],{},[53,3840,3841],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[50,3844,3845,3848],{},[53,3846,3847],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[50,3850,3851,3854],{},[53,3852,3853],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[50,3856,3857,3860],{},[53,3858,3859],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[50,3862,3863,3866],{},[53,3864,3865],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[50,3868,3869,3872],{},[53,3870,3871],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[50,3874,3875,3878],{},[53,3876,3877],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[50,3880,3881,3884],{},[53,3882,3883],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[50,3886,3887,3889],{},[53,3888,622],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[27,3891,633],{"id":632},[47,3893,3894,3897,3900,3903,3906,3909,3912,3915],{},[50,3895,3896],{},"✅ 隐私敏感 + 数据零云",[50,3898,3899],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[50,3901,3902],{},"✅ 不愿学 Ollama CLI 的非工程师",[50,3904,3905],{},"✅ 多模型对比决策场景",[50,3907,3908],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[50,3910,3911],{},"❌ 要 mobile 移动主力",[50,3913,3914],{},"❌ 团队协作 + 共享 workspace",[50,3916,3917],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[27,3919,662],{"id":662},[47,3921,3922,3927,3932],{},[50,3923,3924],{},[668,3925,3926],{"href":3457},"Ollama 评测",[50,3928,3929],{},[668,3930,3931],{"href":3460},"LM Studio 评测",[50,3933,3934],{},[668,3935,3936],{"href":3463},"Open WebUI 评测",[27,3938,683],{"id":683},[685,3940,3941,3948,3955,3962],{},[50,3942,3943,3944],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[668,3945,3946],{"href":3946,"rel":3947},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[694],[50,3949,3950,3951],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[668,3952,3953],{"href":3953,"rel":3954},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[694],[50,3956,3957,3958],{},"ML Journey — Msty Multi-model Comparison Guide ",[668,3959,3960],{"href":3960,"rel":3961},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[694],[50,3963,3964,3965],{},"AISO Tools — Msty Pricing 2026 ",[668,3966,3967],{"href":3967,"rel":3968},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[694],{"title":221,"searchDepth":252,"depth":252,"links":3970},[3971,3972,3973,3974,3975,3976,3977,3978,3979,3980],{"id":29,"depth":242,"text":30},{"id":45,"depth":242,"text":45},{"id":128,"depth":242,"text":128},{"id":3584,"depth":242,"text":3585},{"id":214,"depth":242,"text":214},{"id":385,"depth":242,"text":385},{"id":569,"depth":242,"text":569},{"id":632,"depth":242,"text":633},{"id":662,"depth":242,"text":662},{"id":683,"depth":242,"text":683},"\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。",[3984,3987,3990,3993],{"q":3985,"a":3986},"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":3988,"a":3989},"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":3991,"a":3992},"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":1327,"a":3994},"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。",[751,753],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[759,760,758,1879],[4000,4003,4007,4011],{"plan":1465,"price":764,"features":4001,"notes":4002},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":3563,"price":4004,"features":4005,"notes":4006},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":3569,"price":4008,"features":4009,"notes":4010},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":3575,"price":4012,"features":4013,"notes":4014},"$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",[4017],{"name":4018,"url":4019},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":281,"ux":296,"price":296,"cn_support":252,"stability":281},{"title":3453,"description":3982},"agent\u002Fgeneral\u002Fmsty",[4024,4026,4028,4030],{"name":4025,"url":3946,"accessed":779},"Msty 官网 + Features",{"name":4027,"url":3953,"accessed":779},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":4029,"url":3960,"accessed":779},"ML Journey — Msty Local LLM Comparison Guide",{"name":4031,"url":3967,"accessed":779},"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",[4035,1366,1368,1920,4036],"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 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