[{"data":1,"prerenderedAt":4448},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fgeneral\u002Falice":9,"tool-stats-agent\u002Fgeneral\u002Falice":636,"cat-rank-agent-general":639,"tool-related-agent\u002Fgeneral\u002Falice":4447},{"tools":4,"reviews":5},65,7,{"tools":4,"reviews":5,"playbooks":7,"news":8},10,8,{"id":10,"title":11,"alternatives":12,"api_compatible":22,"body":23,"category":564,"chinese_friendly":551,"cover":565,"description":566,"domestic":567,"extension":568,"faq":569,"free":567,"github":22,"languages":582,"meta":584,"models":22,"navigation":585,"notSuitable":22,"opensource":567,"path":586,"pillar":587,"platforms":588,"priceTable":592,"pricing":605,"published":606,"relatedPlaybooks":607,"relatedReviews":22,"score":611,"self_host":567,"seo":614,"slug":615,"sources":616,"stem":625,"suitable":22,"tagline":626,"tags":627,"updated":618,"verdict":633,"website":634,"__hash__":635},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[13,16,19],{"name":14,"url":15},"claude-desktop","\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",{"name":17,"url":18},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":20,"url":21},"flowith","\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith",null,{"type":24,"value":25,"toc":549},"minimark",[26,31,35,38,41,112,115,138,144,148,153,176,181,207,210,234,237,405,408,464,468,494,497,515,518],[27,28,30],"h2",{"id":29},"tldr","TL;DR",[32,33,34],"p",{},"Alice（heyalice.app）是 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社区贡献的能力包",[45,71,72,75],{},[48,73,74],{},"MCP 集成","：可调用 MCP server 工具",[45,77,78,81],{},[48,79,80],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[45,83,84,87],{},[48,85,86],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[45,89,90,93],{},[48,91,92],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[45,95,96,99],{},[48,97,98],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[45,101,102,105],{},[48,103,104],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[45,107,108,111],{},[48,109,110],{},"3 周免费试用","：体验完整再决策",[27,113,114],{"id":114},"价格",[42,116,117,123,129,135],{},[45,118,119,122],{},[48,120,121],{},"Free Trial","：3 周完整功能，无信用卡",[45,124,125,128],{},[48,126,127],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[45,130,131,134],{},[48,132,133],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[45,136,137],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[139,140,141],"blockquote",{},[32,142,143],{},"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。",[27,145,147],{"id":146},"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）",[32,149,150],{},[48,151,152],{},"亮点：",[42,154,155,158,161,164,167,170,173],{},[45,156,157],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[45,159,160],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[45,162,163],{},"50+ Assistants 节省 prompt engineering 时间",[45,165,166],{},"数据本地 + 无 telemetry，隐私党非常友好",[45,168,169],{},"一次买断 vs 多家月费的累计性价比高",[45,171,172],{},"BYO API 让账单透明，不会有平台抽成",[45,174,175],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[32,177,178],{},[48,179,180],{},"踩坑：",[42,182,183,186,189,192,195,198,201,204],{},[45,184,185],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[45,187,188],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[45,190,191],{},"移动端缺失，出门用不上",[45,193,194],{},"Linux 版本更新偶尔比 macOS 慢",[45,196,197],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[45,199,200],{},"50+ Assistants 质量参差，要挑高赞的用",[45,202,203],{},"团队协作 \u002F 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Cmd+\u002F",[45,447,448,451],{},[48,449,450],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[45,453,454,457],{},[48,455,456],{},"不要一次升级到最新版","：5.x 改动大，pin minor 版本观察社区反馈",[45,459,460,463],{},[48,461,462],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[27,465,467],{"id":466},"适合-不适合","适合 \u002F 不适合",[42,469,470,473,476,479,482,485,488,491],{},[45,471,472],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[45,474,475],{},"✅ 多模型用户不想被单 vendor 锁定",[45,477,478],{},"✅ 隐私敏感 + 数据全本地",[45,480,481],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[45,483,484],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[45,486,487],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[45,489,490],{},"❌ 不想管理 API Key 的纯用户",[45,492,493],{},"❌ 中国大陆海外卡 + API 不可得",[27,495,496],{"id":496},"相关阅读",[42,498,499,505,510],{},[45,500,501],{},[502,503,504],"a",{"href":15},"Claude Desktop 评测",[45,506,507],{},[502,508,509],{"href":18},"OpenClaw 评测",[45,511,512],{},[502,513,514],{"href":21},"Flowith 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",[502,546,547],{"href":547,"rel":548},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[527],{"title":550,"searchDepth":551,"depth":551,"links":552},"",3,[553,555,556,557,558,559,560,561,562,563],{"id":29,"depth":554,"text":30},2,{"id":40,"depth":554,"text":40},{"id":114,"depth":554,"text":114},{"id":146,"depth":554,"text":147},{"id":209,"depth":554,"text":209},{"id":236,"depth":554,"text":236},{"id":407,"depth":554,"text":407},{"id":466,"depth":554,"text":467},{"id":496,"depth":554,"text":496},{"id":517,"depth":554,"text":517},"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",[570,573,576,579],{"q":571,"a":572},"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":574,"a":575},"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":577,"a":578},"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":580,"a":581},"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 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Ultimate 起。",[27,1165,1167],{"id":1166},"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）",[32,1169,1170],{},[48,1171,152],{},[42,1173,1174,1177,1180,1183,1186,1189,1192],{},[45,1175,1176],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[45,1178,1179],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[45,1181,1182],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[45,1184,1185],{},"40+ 模型一窗体内切换 + 对比",[45,1187,1188],{},"多设备同步流畅",[45,1190,1191],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[45,1193,1194],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[32,1196,1197],{},[48,1198,180],{},[42,1200,1201,1204,1207,1210,1213,1216,1219,1222],{},[45,1202,1203],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[45,1205,1206],{},"学习曲线明显，画布操作 + 节点连线要花时间",[45,1208,1209],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[45,1211,1212],{},"Free 300 credits 不够体验完整流程",[45,1214,1215],{},"Agent Neo 偶尔『过度自治』产出不可控",[45,1217,1218],{},"移动 iOS 体验不如桌面 Web",[45,1220,1221],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[45,1223,1224],{},"价格阶梯陡：Pro $20 → Ultimate $50 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chat",[267,1285,1283],{},[244,1287,1288,1291,1294,1297,1300],{},[267,1289,1290],{},"自治 agent",[267,1292,1293],{},"✅ Neo 1000+ 步",[267,1295,1296],{},"✅ Super Agent",[267,1298,1299],{},"✅ Operator",[267,1301,1302],{},"❌（API 走）",[244,1304,1305,1308,1311,1314,1317],{},[267,1306,1307],{},"上下文",[267,1309,1310],{},"10M token",[267,1312,1313],{},"200K",[267,1315,1316],{},"1M（GPT-5）",[267,1318,1319],{},"1M（Claude）",[244,1321,1322,1325,1328,1331,1334],{},[267,1323,1324],{},"模型数",[267,1326,1327],{},"40+",[267,1329,1330],{},"多家",[267,1332,1333],{},"OpenAI",[267,1335,1336],{},"Anthropic",[244,1338,1339,1342,1345,1347,1350],{},[267,1340,1341],{},"Knowledge base",[267,1343,1344],{},"✅ Seeds",[267,1346,353],{},[267,1348,1349],{},"Projects",[267,1351,1349],{},[244,1353,1354,1357,1360,1363,1365],{},[267,1355,1356],{},"起价",[267,1358,1359],{},"$19.90\u002F月",[267,1361,1362],{},"$25\u002F月",[267,1364,311],{},[267,1366,311],{},[244,1368,1369,1371,1374,1377,1380],{},[267,1370,392],{},[267,1372,1373],{},"深度多线程 + 长任务",[267,1375,1376],{},"全能 Super Agent",[267,1378,1379],{},"通用",[267,1381,1382],{},"Coding \u002F 长文",[27,1384,407],{"id":407},[42,1386,1387,1393,1399,1405,1411,1417,1423,1429,1434,1440],{},[45,1388,1389,1392],{},[48,1390,1391],{},"从 Pro 起","：Free 300 credits 玩不出深度",[45,1394,1395,1398],{},[48,1396,1397],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[45,1400,1401,1404],{},[48,1402,1403],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[45,1406,1407,1410],{},[48,1408,1409],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[45,1412,1413,1416],{},[48,1414,1415],{},"画布命名清晰","：节点 \u002F 分支 \u002F 项目名字要规范，否则一周后看不懂自己画的",[45,1418,1419,1422],{},[48,1420,1421],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[45,1424,1425,1428],{},[48,1426,1427],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[45,1430,1431,1433],{},[48,1432,378],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[45,1435,1436,1439],{},[48,1437,1438],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[45,1441,1442,1445],{},[48,1443,1444],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[27,1447,467],{"id":466},[42,1449,1450,1453,1456,1459,1462,1465,1468,1471],{},[45,1451,1452],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[45,1454,1455],{},"✅ 要 10M token 超长上下文做综合分析",[45,1457,1458],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[45,1460,1461],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[45,1463,1464],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[45,1466,1467],{},"❌ 预算极紧 + 不愿学习曲线",[45,1469,1470],{},"❌ 线性思维 + 单线程偏好",[45,1472,1473],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[27,1475,496],{"id":496},[42,1477,1478,1483,1488],{},[45,1479,1480],{},[502,1481,1482],{"href":1053},"Genspark 评测",[45,1484,1485],{},[502,1486,1487],{"href":586},"Alice 评测",[45,1489,1490],{},[502,1491,504],{"href":15},[27,1493,517],{"id":517},[211,1495,1496,1503,1510,1517],{},[45,1497,1498,1499],{},"Flowith 官网 + Pricing ",[502,1500,1501],{"href":1501,"rel":1502},"https:\u002F\u002Fflowith.io",[527],[45,1504,1505,1506],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[502,1507,1508],{"href":1508,"rel":1509},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[527],[45,1511,1512,1513],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[502,1514,1515],{"href":1515,"rel":1516},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[527],[45,1518,1519,1520],{},"OpenTools — Flowith Review May 2026 ",[502,1521,1522],{"href":1522,"rel":1523},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[527],{"title":550,"searchDepth":551,"depth":551,"links":1525},[1526,1527,1528,1529,1530,1531,1532,1533,1534,1535],{"id":29,"depth":554,"text":30},{"id":40,"depth":554,"text":40},{"id":114,"depth":554,"text":114},{"id":1166,"depth":554,"text":1167},{"id":209,"depth":554,"text":209},{"id":236,"depth":554,"text":236},{"id":407,"depth":554,"text":407},{"id":466,"depth":554,"text":467},{"id":496,"depth":554,"text":496},{"id":517,"depth":554,"text":517},"\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。",[1539,1542,1545,1548],{"q":1540,"a":1541},"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":1543,"a":1544},"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":1546,"a":1547},"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":1549,"a":1550},"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。",[583,1552,1553],"zh","multi",{},[1556,1557,1558],"web","ios","macos-flowithos",[1560,1565,1568,1572],{"plan":1561,"price":1562,"features":1563,"notes":1564},"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":1145,"price":1359,"features":1566,"notes":1567},"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":1151,"price":1569,"features":1570,"notes":1571},"$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":1157,"price":1573,"features":1574,"notes":1575},"$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）",[1578],{"name":1579,"url":1580},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":613,"ux":612,"price":551,"cn_support":612,"stability":612},{"title":1049,"description":1537},"agent\u002Fgeneral\u002Fflowith",[1585,1587,1589,1591],{"name":1586,"url":1501,"accessed":618},"Flowith 官网",{"name":1588,"url":1508,"accessed":618},"Toolworthy — Flowith Review 2026",{"name":1590,"url":1515,"accessed":618},"BlockSentient — Flowith 2026 详细评测",{"name":1592,"url":1522,"accessed":618},"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",[1596,629,1597,1598,20],"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":1602,"title":1261,"alternatives":1603,"api_compatible":22,"body":1607,"category":564,"chinese_friendly":612,"cover":2105,"description":2106,"domestic":567,"extension":568,"faq":2107,"free":567,"github":22,"languages":2120,"meta":2121,"models":22,"navigation":585,"notSuitable":22,"opensource":567,"path":1053,"pillar":587,"platforms":2122,"priceTable":2124,"pricing":2133,"published":606,"relatedPlaybooks":2134,"relatedReviews":22,"score":2138,"self_host":567,"seo":2139,"slug":2140,"sources":2141,"stem":2150,"suitable":22,"tagline":2151,"tags":2152,"updated":618,"verdict":2157,"website":2158,"__hash__":2159},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[1604,1605,1606],{"name":20,"url":21},{"name":14,"url":15},{"name":1055,"url":586},{"type":24,"value":1608,"toc":2093},[1609,1611,1614,1617,1619,1693,1695,1719,1724,1728,1732,1755,1759,1785,1787,1807,1809,1959,1961,2017,2019,2045,2047,2061,2063],[27,1610,30],{"id":29},[32,1612,1613],{},"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。",[32,1615,1616],{},"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）。",[27,1618,40],{"id":40},[42,1620,1621,1627,1633,1639,1645,1651,1657,1663,1669,1675,1681,1687],{},[45,1622,1623,1626],{},[48,1624,1625],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[45,1628,1629,1632],{},[48,1630,1631],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[45,1634,1635,1638],{},[48,1636,1637],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[45,1640,1641,1644],{},[48,1642,1643],{},"AI Slides","：10-15 张幻灯片含图表",[45,1646,1647,1650],{},[48,1648,1649],{},"AI Sites","：完整 landing page 一键生成",[45,1652,1653,1656],{},[48,1654,1655],{},"AI Video","：30-60s 短视频生成",[45,1658,1659,1662],{},[48,1660,1661],{},"AI Pods","：10 分钟 AI podcast 生成",[45,1664,1665,1668],{},[48,1666,1667],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[45,1670,1671,1674],{},[48,1672,1673],{},"AI Sheets","：CSV 数据分析 + 自动图表",[45,1676,1677,1680],{},[48,1678,1679],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[45,1682,1683,1686],{},[48,1684,1685],{},"iOS \u002F Android App","：移动端可用",[45,1688,1689,1692],{},[48,1690,1691],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[27,1694,114],{"id":114},[42,1696,1697,1702,1708,1713],{},[45,1698,1699,1701],{},[48,1700,1139],{},"：100-200 daily credits（~3-8 简单任务）",[45,1703,1704,1707],{},[48,1705,1706],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[45,1709,1710,1712],{},[48,1711,1145],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[45,1714,1715,1718],{},[48,1716,1717],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[139,1720,1721],{},[32,1722,1723],{},"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。",[27,1725,1727],{"id":1726},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[32,1729,1730],{},[48,1731,152],{},[42,1733,1734,1737,1740,1743,1746,1749,1752],{},[45,1735,1736],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[45,1738,1739],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[45,1741,1742],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[45,1744,1745],{},"Plus 顶级模型不限 chat 性价比超高，比 ChatGPT Plus $20 + Claude Pro $20 + Perplexity Pro $20 全订便宜",[45,1747,1748],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[45,1750,1751],{},"Sparkpage 输出可直接分享 + 嵌入",[45,1753,1754],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[32,1756,1757],{},[48,1758,180],{},[42,1760,1761,1764,1767,1770,1773,1776,1779,1782],{},[45,1762,1763],{},"credit 消耗不透明，复杂任务前难估算成本",[45,1765,1766],{},"用户反馈 customer support + refund 有问题",[45,1768,1769],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[45,1771,1772],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[45,1774,1775],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[45,1777,1778],{},"地域限制：印度 \u002F 巴西 \u002F 巴基斯坦 \u002F 尼日利亚 \u002F 印尼等部分国家 Plus \u002F Pro 不可用",[45,1780,1781],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[45,1783,1784],{},"Pro $249 月价格陡，中端断档",[27,1786,209],{"id":209},[211,1788,1789,1792,1795,1798,1801,1804],{},[45,1790,1791],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[45,1793,1794],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[45,1796,1797],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[45,1799,1800],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[45,1802,1803],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[45,1805,1806],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[27,1808,236],{"id":236},[238,1810,1811,1827],{},[241,1812,1813],{},[244,1814,1815,1817,1819,1821,1824],{},[247,1816,249],{},[247,1818,1261],{},[247,1820,1049],{},[247,1822,1823],{},"Perplexity Pro",[247,1825,1826],{},"ChatGPT Plus",[262,1828,1829,1844,1859,1873,1887,1902,1916,1929,1944],{},[244,1830,1831,1833,1836,1839,1841],{},[267,1832,1625],{},[267,1834,1835],{},"✅ 多 Agent",[267,1837,1838],{},"✅ Neo 自治",[267,1840,353],{},[267,1842,1843],{},"Operator",[244,1845,1846,1849,1852,1855,1857],{},[267,1847,1848],{},"可视化输出",[267,1850,1851],{},"✅ Sparkpage",[267,1853,1854],{},"✅ 画布",[267,1856,353],{},[267,1858,353],{},[244,1860,1861,1864,1867,1869,1871],{},[267,1862,1863],{},"真实电话调用",[267,1865,1866],{},"✅ Call For Me",[267,1868,353],{},[267,1870,353],{},[267,1872,353],{},[244,1874,1875,1878,1881,1883,1885],{},[267,1876,1877],{},"一键建站",[267,1879,1880],{},"✅ AI Sites",[267,1882,353],{},[267,1884,353],{},[267,1886,353],{},[244,1888,1889,1892,1895,1897,1899],{},[267,1890,1891],{},"视频 \u002F 音频生成",[267,1893,1894],{},"✅ Video \u002F Pods",[267,1896,338],{},[267,1898,353],{},[267,1900,1901],{},"Sora（独立）",[244,1903,1904,1907,1910,1912,1914],{},[267,1905,1906],{},"引用透明",[267,1908,1909],{},"中",[267,1911,353],{},[267,1913,272],{},[267,1915,338],{},[244,1917,1918,1920,1923,1925,1927],{},[267,1919,1356],{},[267,1921,1922],{},"$25\u002F月（Plus）",[267,1924,1359],{},[267,1926,311],{},[267,1928,311],{},[244,1930,1931,1934,1937,1939,1941],{},[267,1932,1933],{},"最贵",[267,1935,1936],{},"$249\u002F月",[267,1938,1573],{},[267,1940,311],{},[267,1942,1943],{},"$200\u002F月",[244,1945,1946,1948,1951,1954,1957],{},[267,1947,392],{},[267,1949,1950],{},"一站式 Super Agent",[267,1952,1953],{},"画布深度",[267,1955,1956],{},"搜索引用",[267,1958,1379],{},[27,1960,407],{"id":407},[42,1962,1963,1969,1975,1981,1987,1993,1999,2005,2011],{},[45,1964,1965,1968],{},[48,1966,1967],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[45,1970,1971,1974],{},[48,1972,1973],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[45,1976,1977,1980],{},[48,1978,1979],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[45,1982,1983,1986],{},[48,1984,1985],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[45,1988,1989,1992],{},[48,1990,1991],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[45,1994,1995,1998],{},[48,1996,1997],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[45,2000,2001,2004],{},[48,2002,2003],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[45,2006,2007,2010],{},[48,2008,2009],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[45,2012,2013,2016],{},[48,2014,2015],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[27,2018,467],{"id":466},[42,2020,2021,2024,2027,2030,2033,2036,2039,2042],{},[45,2022,2023],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[45,2025,2026],{},"✅ Plus $25 重度多模型不限 chat 用户",[45,2028,2029],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[45,2031,2032],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[45,2034,2035],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[45,2037,2038],{},"❌ 学术严谨场景",[45,2040,2041],{},"❌ 预算极紧",[45,2043,2044],{},"❌ 要画布 + 多线程深度（用 Flowith）",[27,2046,496],{"id":496},[42,2048,2049,2053,2057],{},[45,2050,2051],{},[502,2052,514],{"href":21},[45,2054,2055],{},[502,2056,504],{"href":15},[45,2058,2059],{},[502,2060,1487],{"href":586},[27,2062,517],{"id":517},[211,2064,2065,2072,2079,2086],{},[45,2066,2067,2068],{},"Genspark Pricing 官方 ",[502,2069,2070],{"href":2070,"rel":2071},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[527],[45,2073,2074,2075],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[502,2076,2077],{"href":2077,"rel":2078},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[527],[45,2080,2081,2082],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[502,2083,2084],{"href":2084,"rel":2085},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[527],[45,2087,2088,2089],{},"Lindy — Genspark Features 2026 Tested ",[502,2090,2091],{"href":2091,"rel":2092},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[527],{"title":550,"searchDepth":551,"depth":551,"links":2094},[2095,2096,2097,2098,2099,2100,2101,2102,2103,2104],{"id":29,"depth":554,"text":30},{"id":40,"depth":554,"text":40},{"id":114,"depth":554,"text":114},{"id":1726,"depth":554,"text":1727},{"id":209,"depth":554,"text":209},{"id":236,"depth":554,"text":236},{"id":407,"depth":554,"text":407},{"id":466,"depth":554,"text":467},{"id":496,"depth":554,"text":496},{"id":517,"depth":554,"text":517},"\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。",[2108,2111,2114,2117],{"q":2109,"a":2110},"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":2112,"a":2113},"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":2115,"a":2116},"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":2118,"a":2119},"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。",[583,1552,1553],{},[1556,1557,2123],"android",[2125,2127,2130],{"plan":1139,"price":1562,"features":2126,"notes":1564},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":1706,"price":1362,"features":2128,"notes":2129},"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":1145,"price":1936,"features":2131,"notes":2132},"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",[2135],{"name":2136,"url":2137},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":613,"ux":612,"price":551,"cn_support":551,"stability":612},{"title":1261,"description":2106},"agent\u002Fgeneral\u002Fgenspark",[2142,2144,2146,2148],{"name":2143,"url":2070,"accessed":618},"Genspark 官网 + Pricing",{"name":2145,"url":2077,"accessed":618},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":2147,"url":2084,"accessed":618},"Rimo — Genspark 2026 + ARR $250M",{"name":2149,"url":2091,"accessed":618},"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",[2153,2154,2155,2156,1052],"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":2161,"title":2162,"alternatives":2163,"api_compatible":2167,"body":2168,"category":564,"chinese_friendly":612,"cover":3068,"description":3069,"domestic":567,"extension":568,"faq":22,"free":567,"github":22,"languages":3070,"meta":3071,"models":3072,"navigation":585,"notSuitable":3077,"opensource":567,"path":3082,"pillar":587,"platforms":3083,"priceTable":3084,"pricing":3099,"published":3100,"relatedPlaybooks":22,"relatedReviews":22,"score":3101,"self_host":567,"seo":3102,"slug":3103,"sources":3104,"stem":3120,"suitable":3121,"tagline":3127,"tags":3128,"updated":618,"verdict":3134,"website":2553,"__hash__":3135},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[2140,2164,2165,2166],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":24,"value":2169,"toc":3048},[2170,2172,2210,2215,2218,2282,2285,2290,2298,2303,2310,2314,2322,2388,2393,2397,2404,2408,2416,2421,2438,2441,2444,2447,2454,2457,2463,2518,2524,2531,2536,2542,2546,2591,2594,2633,2636,2808,2813,2830,2835,2855,2858,2924,2926,2929,2946,2949,2970,2972,3022,3024,3041],[27,2171,30],{"id":29},[2173,2174,2179,2195],"div",{"className":2175},[2176,2177,2178],"card","p-5","my-4",[32,2180,2181,2184,2185,2188,2189,2194],{},[48,2182,2183],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[48,2186,2187],{},"邀请码一度被炒到 ¥5 万-10 万","（",[502,2190,2193],{"href":2191,"rel":2192},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[527],"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。",[32,2196,2197,2198,2188,2201,2205,2206,2209],{},"2025-12 传被 ",[48,2199,2200],{},"Meta 以约 20-30 亿美元收购",[502,2202,2204],{"href":2191,"rel":2203},[527],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[48,2207,2208],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[139,2211,2212],{},[32,2213,2214],{},"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。",[27,2216,2217],{"id":2217},"背景与公司",[42,2219,2220,2231,2237,2243,2249,2260,2270,2276],{},[45,2221,2222,2225,2226,2230],{},[48,2223,2224],{},"公司","：Butterfly Effect Pte. Ltd.（",[502,2227,2229],{"href":2191,"rel":2228},[527],"蝴蝶效应","），创始人 Xiao Hong（季逸超 Ji Yichao 为 Manus 联合创始人 + 首席科学家）",[45,2232,2233,2236],{},[48,2234,2235],{},"公司位置","：办公室在北京 + 武汉 + 新加坡，目标市场北美 \u002F 日本 \u002F 韩国（不主打中国大陆）",[45,2238,2239,2242],{},[48,2240,2241],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[45,2244,2245,2248],{},[48,2246,2247],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[45,2250,2251,2254,2255,2259],{},[48,2252,2253],{},"Manus 启动","：2024-10 立项，灵感来自 ",[502,2256,2258],{"href":2257},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[45,2261,2262,2265,2266],{},[48,2263,2264],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[502,2267,2269],{"href":2191,"rel":2268},[527],"Demo 视频 20 小时百万播放",[45,2271,2272,2275],{},[48,2273,2274],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[45,2277,2278,2281],{},[48,2279,2280],{},"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",[27,2283,2284],{"id":2284},"核心特性",[2286,2287,2289],"h3",{"id":2288},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[32,2291,2292,2297],{},[502,2293,2296],{"href":2294,"rel":2295},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[527],"Pick Right 2026-04 评测"," 描述的架构：",[139,2299,2300],{},[32,2301,2302],{},"\"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.\"",[32,2304,2305,2306,2309],{},"主 orchestrator 给每一步选最合适的模型（Claude \u002F Qwen \u002F 自研），结果合成。这是 Manus 研究输出 ",[48,2307,2308],{},"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。",[2286,2311,2313],{"id":2312},"通用-agent-模式","通用 Agent 模式",[32,2315,2316,2321],{},[502,2317,2320],{"href":2318,"rel":2319},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[527],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[238,2323,2324,2334],{},[241,2325,2326],{},[244,2327,2328,2331],{},[247,2329,2330],{},"模型",[247,2332,2333],{},"GAIA 准确率",[262,2335,2336,2348,2356,2364,2372,2380],{},[244,2337,2338,2343],{},[267,2339,2340],{},[48,2341,2342],{},"Manus AI",[267,2344,2345],{},[48,2346,2347],{},">65%（SOTA）",[244,2349,2350,2353],{},[267,2351,2352],{},"H2O.ai (h2oGPTe)",[267,2354,2355],{},"65%",[244,2357,2358,2361],{},[267,2359,2360],{},"Google Langfun",[267,2362,2363],{},"49%",[244,2365,2366,2369],{},[267,2367,2368],{},"Microsoft o1",[267,2370,2371],{},"38%",[244,2373,2374,2377],{},[267,2375,2376],{},"OpenAI GPT-4o",[267,2378,2379],{},"32%",[244,2381,2382,2385],{},[267,2383,2384],{},"OpenAI GPT-4 + Plugins",[267,2386,2387],{},"15-30%",[139,2389,2390],{},[32,2391,2392],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[2286,2394,2396],{"id":2395},"后台执行-长任务","后台执行 + 长任务",[32,2398,2399,2400,2403],{},"最特别的体验：任务下达后",[48,2401,2402],{},"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。",[2286,2405,2407],{"id":2406},"web-app-builder","Web App Builder",[32,2409,2410,2411,2415],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[502,2412,2414],{"href":2294,"rel":2413},[527],"Pick Right 评测"," 直白警告：",[139,2417,2418],{},[32,2419,2420],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[32,2422,2423,2424,2428,2429,2428,2433,2437],{},"复杂场景下出 bug 多，目前不建议生产部署，",[502,2425,2427],{"href":2426},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[502,2430,2432],{"href":2431},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[502,2434,2436],{"href":2435},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[2286,2439,2440],{"id":2440},"桌面应用",[32,2442,2443],{},"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。",[2286,2445,2446],{"id":2446},"多模型路由",[32,2448,2449,2450,2453],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[48,2451,2452],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[27,2455,2456],{"id":2456},"价格与运行成本",[32,2458,2459,2462],{},[502,2460,2414],{"href":2294,"rel":2461},[527]," 公开档位：",[238,2464,2465,2477],{},[241,2466,2467],{},[244,2468,2469,2472,2474],{},[247,2470,2471],{},"档位",[247,2473,114],{},[247,2475,2476],{},"关键点",[262,2478,2479,2488,2497,2507],{},[244,2480,2481,2483,2485],{},[267,2482,1139],{},[267,2484,1562],{},[267,2486,2487],{},"每日有限 credits，够 1 个高强度任务\u002F天",[244,2489,2490,2492,2494],{},[267,2491,1145],{},[267,2493,311],{},[267,2495,2496],{},"大多数付费用户落点；中等 credit + 多模型",[244,2498,2499,2501,2504],{},[267,2500,1706],{},[267,2502,2503],{},"$50\u002F月",[267,2505,2506],{},"更高 credit + 优先队列，10+ 任务\u002F周",[244,2508,2509,2512,2515],{},[267,2510,2511],{},"Pro+ \u002F Team",[267,2513,2514],{},"最高 $200\u002F月",[267,2516,2517],{},"最大 credit + 团队空间（功能仍有限）",[32,2519,2520,2523],{},[48,2521,2522],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[32,2525,2526,2530],{},[502,2527,2529],{"href":2294,"rel":2528},[527],"Pick Right 真实使用反馈","：",[139,2532,2533],{},[32,2534,2535],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[32,2537,2538,2541],{},[48,2539,2540],{},"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。",[27,2543,2545],{"id":2544},"上手-5-分钟","上手 5 分钟",[211,2547,2548,2556,2559,2576,2579,2585,2588],{},[45,2549,2550,2551],{},"打开 ",[502,2552,2555],{"href":2553,"rel":2554},"https:\u002F\u002Fmanus.im",[527],"manus.im",[45,2557,2558],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[45,2560,2561,2562,2565,2566],{},"给一个完整任务描述（",[48,2563,2564],{},"关键","：不要碎片化指令，给全场景）\n",[2567,2568,2573],"pre",{"className":2569,"code":2571,"language":2572},[2570],"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",[2574,2575,2571],"code",{"__ignoreMap":550},[45,2577,2578],{},"选模型路由（Auto 推荐）",[45,2580,2581,2582,2584],{},"提交后",[48,2583,2402],{},"——任务在云端跑",[45,2586,2587],{},"完成后邮件 \u002F 站内通知",[45,2589,2590],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[27,2592,2593],{"id":2593},"国内使用注意事项",[211,2595,2596,2606,2612,2618],{},[45,2597,2598,2530,2601,2605],{},[48,2599,2600],{},"大陆访问被屏蔽",[502,2602,2604],{"href":2191,"rel":2603},[527],"Wikipedia 引用 36Kr 报道","，Butterfly Effect 已关闭中文社交账号、阻断中国大陆访问，原 Alibaba Qwen 合作版\"中文版 Manus\"已搁置",[45,2607,2608,2611],{},[48,2609,2610],{},"访问需稳定代理","：日韩 \u002F 美国节点",[45,2613,2614,2617],{},[48,2615,2616],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[45,2619,2620,2623,2624,2627,2628,2632],{},[48,2621,2622],{},"替代路径","：国内可考虑 ",[502,2625,1261],{"href":2626},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[502,2629,2631],{"href":2630},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[27,2634,2635],{"id":2635},"与同类怎么选",[238,2637,2638,2662],{},[241,2639,2640],{},[244,2641,2642,2644,2646,2652,2656,2659],{},[247,2643,249],{},[247,2645,2162],{},[247,2647,2648],{},[502,2649,2651],{"href":2650},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[247,2653,2654],{},[502,2655,1261],{"href":2626},[247,2657,2658],{},"ChatGPT Deep Research",[247,2660,2661],{},"GenAgent",[262,2663,2664,2683,2703,2722,2737,2753,2770,2788],{},[244,2665,2666,2669,2672,2675,2678,2681],{},[267,2667,2668],{},"核心定位",[267,2670,2671],{},"通用 Agent",[267,2673,2674],{},"AI 程序员",[267,2676,2677],{},"AI 搜索 + Agent",[267,2679,2680],{},"LLM Deep Research",[267,2682,1379],{},[244,2684,2685,2688,2691,2694,2697,2700],{},[267,2686,2687],{},"架构",[267,2689,2690],{},"多 sub-agent 并行",[267,2692,2693],{},"单 Agent + 沙盒",[267,2695,2696],{},"多模型",[267,2698,2699],{},"单模型",[267,2701,2702],{},"—",[244,2704,2705,2708,2711,2714,2717,2720],{},[267,2706,2707],{},"长任务",[267,2709,2710],{},"★★★★★ 小时级",[267,2712,2713],{},"★★★★★",[267,2715,2716],{},"★★★☆☆",[267,2718,2719],{},"★★★★☆",[267,2721,2716],{},[244,2723,2724,2727,2729,2731,2733,2735],{},[267,2725,2726],{},"引用密度",[267,2728,2713],{},[267,2730,2716],{},[267,2732,2719],{},[267,2734,2716],{},[267,2736,2716],{},[244,2738,2739,2742,2745,2747,2749,2751],{},[267,2740,2741],{},"App Builder",[267,2743,2744],{},"⚠️ 有但 buggy",[267,2746,381],{},[267,2748,381],{},[267,2750,381],{},[267,2752,381],{},[244,2754,2755,2758,2761,2764,2766,2768],{},[267,2756,2757],{},"中文",[267,2759,2760],{},"⚠️ 大陆屏蔽",[267,2762,2763],{},"⚠️",[267,2765,2713],{},[267,2767,2763],{},[267,2769,2719],{},[244,2771,2772,2774,2777,2780,2783,2786],{},[267,2773,114],{},[267,2775,2776],{},"$20-$200",[267,2778,2779],{},"$500\u002F月",[267,2781,2782],{},"$24.99\u002F月",[267,2784,2785],{},"随 ChatGPT Plus",[267,2787,2702],{},[244,2789,2790,2793,2796,2799,2802,2805],{},[267,2791,2792],{},"适合场景",[267,2794,2795],{},"research \u002F 数据分析",[267,2797,2798],{},"写代码 \u002F 修 bug",[267,2800,2801],{},"信息检索",[267,2803,2804],{},"单次深度研究",[267,2806,2807],{},"综合",[32,2809,2810,2530],{},[48,2811,2812],{},"选 Manus 如果你",[42,2814,2815,2821,2824,2827],{},[45,2816,2817,2818],{},"重视 research \u002F 数据分析任务的 ",[48,2819,2820],{},"引用密度和结构化输出",[45,2822,2823],{},"想试\"开任务下班、明早看结果\"的工作流",[45,2825,2826],{},"海外 \u002F 能解决账号网络问题",[45,2828,2829],{},"预算 $20-$50\u002F月，重度用户",[32,2831,2832,2530],{},[48,2833,2834],{},"别选 Manus 如果你",[42,2836,2837,2846,2849,2852],{},[45,2838,2839,2840,2428,2842,2845],{},"国内裸用（",[502,2841,1261],{"href":2626},[502,2843,2844],{"href":2630},"Yuanbao"," 更顺）",[45,2847,2848],{},"想生产部署 App（Web App Builder bug 多）",[45,2850,2851],{},"团队协作场景（功能不完善）",[45,2853,2854],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[27,2856,2857],{"id":2857},"避坑清单",[42,2859,2860,2866,2876,2882,2888,2900,2906,2912],{},[45,2861,2862,2865],{},[48,2863,2864],{},"大陆访问已被官方屏蔽","：2025 年起阻断中国大陆访问，原\"中文版 Manus\"项目搁置",[45,2867,2868,2530,2871,2875],{},[48,2869,2870],{},"credit 烧得比官方页面暗示的快",[502,2872,2874],{"href":2294,"rel":2873},[527],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[45,2877,2878,2881],{},[48,2879,2880],{},"任务一启动无法控预算","：开始跑后只能 cancel 或等结束，credits 会一直消耗",[45,2883,2884,2887],{},[48,2885,2886],{},"Web App Builder 别上生产","：demo 漂亮，复杂场景翻车，Bolt.new \u002F Lovable \u002F v0 仍是生产部署更稳选项",[45,2889,2890,2893,2894,2899],{},[48,2891,2892],{},"每次任务从零开始","：没有持久 workspace，不像 ",[502,2895,2898],{"href":2896,"rel":2897},"https:\u002F\u002Fclaude.com",[527],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[45,2901,2902,2905],{},[48,2903,2904],{},"没有 HubSpot \u002F Salesforce \u002F Notion \u002F Slack 集成","：拿到结果后要自己手动搬到工具栈",[45,2907,2908,2911],{},[48,2909,2910],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[45,2913,2914,2917,2918,2923],{},[48,2915,2916],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[502,2919,2922],{"href":2920,"rel":2921},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[527],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[27,2925,467],{"id":466},[32,2927,2928],{},"✅ 适合：",[42,2930,2931,2934,2937,2940,2943],{},[45,2932,2933],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[45,2935,2936],{},"CSV \u002F Excel 重的数据分析任务",[45,2938,2939],{},"长任务 + 不想盯着看（小时级）",[45,2941,2942],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[45,2944,2945],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[32,2947,2948],{},"❌ 不适合：",[42,2950,2951,2954,2957,2960,2963],{},[45,2952,2953],{},"生产级应用部署",[45,2955,2956],{},"团队协作工作流",[45,2958,2959],{},"预算极敏感（free 档非常受限）",[45,2961,2962],{},"大陆稳定访问需求",[45,2964,2965,2966,2969],{},"需要深度持久上下文（用 ",[502,2967,2898],{"href":2896,"rel":2968},[527]," \u002F ChatGPT Custom GPT 等）",[27,2971,496],{"id":496},[42,2973,2974,2985,2996,3011],{},[45,2975,2976,2977,2428,2979,2981,2982,2984],{},"同类对比：",[502,2978,2651],{"href":2650},[502,2980,1261],{"href":2626}," \u002F Elicit \u002F ",[502,2983,2844],{"href":2630}," \u002F Metaso",[45,2986,2987,2988,2428,2992,2995],{},"概念：",[502,2989,2991],{"href":2990},"\u002Fwiki\u002Fai-agent.html","AI Agent",[502,2993,2994],{"href":2990},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[45,2997,2998,2999,2428,3003,2428,3007],{},"模型：",[502,3000,3002],{"href":3001},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[502,3004,3006],{"href":3005},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[502,3008,3010],{"href":3009},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[45,3012,3013,3014,2428,3018],{},"进阶：",[502,3015,3017],{"href":3016},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[502,3019,3021],{"href":3020},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[27,3023,517],{"id":517},[42,3025,3026,3032,3035,3038],{},[45,3027,3028,3029],{},"官网：",[502,3030,2553],{"href":2553,"rel":3031},[527],[45,3033,3034],{},"Wikipedia：\"Manus (AI agent)\" 条目",[45,3036,3037],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[45,3039,3040],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[32,3042,3043,3044,3047],{},"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 ",[502,3045,3046],{"href":3046},"\u002Fsubmit"," 反馈。",{"title":550,"searchDepth":551,"depth":551,"links":3049},[3050,3051,3052,3060,3061,3062,3063,3064,3065,3066,3067],{"id":29,"depth":554,"text":30},{"id":2217,"depth":554,"text":2217},{"id":2284,"depth":554,"text":2284,"children":3053},[3054,3055,3056,3057,3058,3059],{"id":2288,"depth":551,"text":2289},{"id":2312,"depth":551,"text":2313},{"id":2395,"depth":551,"text":2396},{"id":2406,"depth":551,"text":2407},{"id":2440,"depth":551,"text":2440},{"id":2446,"depth":551,"text":2446},{"id":2456,"depth":554,"text":2456},{"id":2544,"depth":554,"text":2545},{"id":2593,"depth":554,"text":2593},{"id":2635,"depth":554,"text":2635},{"id":2857,"depth":554,"text":2857},{"id":466,"depth":554,"text":467},{"id":496,"depth":554,"text":496},{"id":517,"depth":554,"text":517},"\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。",[1552,583],{},[3073,3074,3075,3076],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[3078,3079,3080,3081],"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",[1556,590,589,591],[3085,3088,3092,3095],{"plan":1139,"price":1562,"limit":3086,"cn_pay":2702,"note":3087},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1145,"price":311,"limit":3089,"cn_pay":3090,"note":3091},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":1706,"price":2503,"limit":3093,"cn_pay":2763,"note":3094},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":3096,"price":1943,"limit":3097,"cn_pay":2763,"note":3098},"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":613,"ux":613,"price":551,"cn_support":612,"stability":551},{"title":2162,"description":3069},"agent\u002Fgeneral\u002Fmanus",[3105,3107,3110,3112,3114,3117],{"title":3106,"url":2553},"Manus 官网",{"title":3108,"url":3109},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":3111,"url":2294},"Manus AI Review 2026 (Pick Right)",{"title":3113,"url":2318},"Info-Tech Manus Assessment",{"title":3115,"url":3116},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":3118,"url":3119},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[3122,3123,3124,3125,3126],"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",[3129,3130,3131,2154,3132,3133],"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":3137,"title":3138,"alternatives":3139,"api_compatible":22,"body":3149,"category":564,"chinese_friendly":551,"cover":3666,"description":3667,"domestic":567,"extension":568,"faq":3668,"free":567,"github":22,"languages":3680,"meta":3681,"models":22,"navigation":585,"notSuitable":22,"opensource":567,"path":3682,"pillar":587,"platforms":3683,"priceTable":3684,"pricing":3700,"published":606,"relatedPlaybooks":3701,"relatedReviews":22,"score":3705,"self_host":585,"seo":3706,"slug":3707,"sources":3708,"stem":3717,"suitable":22,"tagline":3718,"tags":3719,"updated":618,"verdict":3722,"website":3723,"__hash__":3724},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[3140,3143,3146],{"name":3141,"url":3142},"ollama","\u002Ftools\u002Fcoding\u002Flocal\u002Follama",{"name":3144,"url":3145},"lm-studio","\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio",{"name":3147,"url":3148},"open-webui","\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",{"type":24,"value":3150,"toc":3654},[3151,3153,3156,3159,3161,3235,3237,3262,3267,3271,3275,3301,3305,3331,3333,3356,3358,3518,3520,3575,3577,3603,3605,3622,3624],[27,3152,30],{"id":29},[32,3154,3155],{},"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。",[32,3157,3158],{},"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）。",[27,3160,40],{"id":40},[42,3162,3163,3169,3175,3181,3187,3193,3199,3205,3211,3217,3223,3229],{},[45,3164,3165,3168],{},[48,3166,3167],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[45,3170,3171,3174],{},[48,3172,3173],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[45,3176,3177,3180],{},[48,3178,3179],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[45,3182,3183,3186],{},[48,3184,3185],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[45,3188,3189,3192],{},[48,3190,3191],{},"Prompt Studio","：变量 + 模板 + 测试",[45,3194,3195,3198],{},[48,3196,3197],{},"Persona Studio","：自定义角色 + 工具 + context",[45,3200,3201,3204],{},[48,3202,3203],{},"Skills Studio","：可复用能力包",[45,3206,3207,3210],{},[48,3208,3209],{},"Agent Mode","：多步执行 + 工具调用",[45,3212,3213,3216],{},[48,3214,3215],{},"Flowchart 对话","：分支可视化",[45,3218,3219,3222],{},[48,3220,3221],{},"Real-time 数据","：实时 web fetch",[45,3224,3225,3228],{},[48,3226,3227],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[45,3230,3231,3234],{},[48,3232,3233],{},"Cloud Sync","（Aurum）：跨设备同步对话",[27,3236,114],{"id":114},[42,3238,3239,3244,3250,3256],{},[45,3240,3241,3243],{},[48,3242,1139],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[45,3245,3246,3249],{},[48,3247,3248],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[45,3251,3252,3255],{},[48,3253,3254],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[45,3257,3258,3261],{},[48,3259,3260],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[139,3263,3264],{},[32,3265,3266],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[27,3268,3270],{"id":3269},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[32,3272,3273],{},[48,3274,152],{},[42,3276,3277,3280,3283,3286,3289,3292,3295,3298],{},[45,3278,3279],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[45,3281,3282],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[45,3284,3285],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[45,3287,3288],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[45,3290,3291],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[45,3293,3294],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[45,3296,3297],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[45,3299,3300],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[32,3302,3303],{},[48,3304,180],{},[42,3306,3307,3310,3313,3316,3319,3322,3325,3328],{},[45,3308,3309],{},"本地性能受硬件限制：M1 Air 跑 7B 慢，M3 Max \u002F Mac Studio \u002F 高端 GPU 更适合",[45,3311,3312],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[45,3314,3315],{},"桌面 only，无 iOS \u002F Android",[45,3317,3318],{},"llama.cpp 更新滞后官方上游 1-2 版本",[45,3320,3321],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[45,3323,3324],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[45,3326,3327],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[45,3329,3330],{},"中文 UI 不完整，部分功能仍是英文",[27,3332,209],{"id":209},[211,3334,3335,3338,3341,3344,3347,3350,3353],{},[45,3336,3337],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[45,3339,3340],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[45,3342,3343],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[45,3345,3346],{},"加云模型：OpenAI Key + Anthropic Key",[45,3348,3349],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[45,3351,3352],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[45,3354,3355],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[27,3357,236],{"id":236},[238,3359,3360,3377],{},[241,3361,3362],{},[244,3363,3364,3366,3368,3371,3374],{},[247,3365,249],{},[247,3367,3138],{},[247,3369,3370],{},"Ollama",[247,3372,3373],{},"LM Studio",[247,3375,3376],{},"Jan",[262,3378,3379,3394,3409,3422,3434,3447,3461,3476,3488,3502],{},[244,3380,3381,3384,3387,3390,3392],{},[267,3382,3383],{},"GUI",[267,3385,3386],{},"✅ 颜值高",[267,3388,3389],{},"❌ CLI",[267,3391,288],{},[267,3393,288],{},[244,3395,3396,3399,3402,3404,3407],{},[267,3397,3398],{},"本地引擎",[267,3400,3401],{},"MLX\u002Fllama.cpp\u002FOllama",[267,3403,3370],{},[267,3405,3406],{},"llama.cpp",[267,3408,3406],{},[244,3410,3411,3414,3416,3418,3420],{},[267,3412,3413],{},"云模型",[267,3415,288],{},[267,3417,381],{},[267,3419,381],{},[267,3421,338],{},[244,3423,3424,3426,3428,3430,3432],{},[267,3425,3179],{},[267,3427,341],{},[267,3429,381],{},[267,3431,338],{},[267,3433,353],{},[244,3435,3436,3438,3441,3443,3445],{},[267,3437,3185],{},[267,3439,3440],{},"✅ per-conv",[267,3442,381],{},[267,3444,381],{},[267,3446,338],{},[244,3448,3449,3452,3455,3457,3459],{},[267,3450,3451],{},"Studios",[267,3453,3454],{},"✅ Prompt\u002FPersona\u002FSkills",[267,3456,353],{},[267,3458,353],{},[267,3460,353],{},[244,3462,3463,3466,3468,3471,3473],{},[267,3464,3465],{},"开源",[267,3467,381],{},[267,3469,3470],{},"✅ MIT",[267,3472,381],{},[267,3474,3475],{},"✅ Apache 2.0",[244,3477,3478,3480,3482,3484,3486],{},[267,3479,1356],{},[267,3481,1562],{},[267,3483,1562],{},[267,3485,1562],{},[267,3487,1562],{},[244,3489,3490,3493,3496,3498,3500],{},[267,3491,3492],{},"终身",[267,3494,3495],{},"$349",[267,3497,353],{},[267,3499,353],{},[267,3501,353],{},[244,3503,3504,3506,3509,3512,3515],{},[267,3505,392],{},[267,3507,3508],{},"桌面颜值 + 多模型",[267,3510,3511],{},"CLI \u002F Server",[267,3513,3514],{},"模型市场",[267,3516,3517],{},"严格开源",[27,3519,407],{"id":407},[42,3521,3522,3528,3534,3540,3546,3552,3558,3564,3570],{},[45,3523,3524,3527],{},[48,3525,3526],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[45,3529,3530,3533],{},[48,3531,3532],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[45,3535,3536,3539],{},[48,3537,3538],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[45,3541,3542,3545],{},[48,3543,3544],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[45,3547,3548,3551],{},[48,3549,3550],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[45,3553,3554,3557],{},[48,3555,3556],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[45,3559,3560,3563],{},[48,3561,3562],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[45,3565,3566,3569],{},[48,3567,3568],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[45,3571,3572,3574],{},[48,3573,462],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[27,3576,467],{"id":466},[42,3578,3579,3582,3585,3588,3591,3594,3597,3600],{},[45,3580,3581],{},"✅ 隐私敏感 + 数据零云",[45,3583,3584],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[45,3586,3587],{},"✅ 不愿学 Ollama CLI 的非工程师",[45,3589,3590],{},"✅ 多模型对比决策场景",[45,3592,3593],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[45,3595,3596],{},"❌ 要 mobile 移动主力",[45,3598,3599],{},"❌ 团队协作 + 共享 workspace",[45,3601,3602],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[27,3604,496],{"id":496},[42,3606,3607,3612,3617],{},[45,3608,3609],{},[502,3610,3611],{"href":3142},"Ollama 评测",[45,3613,3614],{},[502,3615,3616],{"href":3145},"LM Studio 评测",[45,3618,3619],{},[502,3620,3621],{"href":3148},"Open WebUI 评测",[27,3623,517],{"id":517},[211,3625,3626,3633,3640,3647],{},[45,3627,3628,3629],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[502,3630,3631],{"href":3631,"rel":3632},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[527],[45,3634,3635,3636],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[502,3637,3638],{"href":3638,"rel":3639},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[527],[45,3641,3642,3643],{},"ML Journey — Msty Multi-model Comparison Guide ",[502,3644,3645],{"href":3645,"rel":3646},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[527],[45,3648,3649,3650],{},"AISO Tools — Msty Pricing 2026 ",[502,3651,3652],{"href":3652,"rel":3653},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[527],{"title":550,"searchDepth":551,"depth":551,"links":3655},[3656,3657,3658,3659,3660,3661,3662,3663,3664,3665],{"id":29,"depth":554,"text":30},{"id":40,"depth":554,"text":40},{"id":114,"depth":554,"text":114},{"id":3269,"depth":554,"text":3270},{"id":209,"depth":554,"text":209},{"id":236,"depth":554,"text":236},{"id":407,"depth":554,"text":407},{"id":466,"depth":554,"text":467},{"id":496,"depth":554,"text":496},{"id":517,"depth":554,"text":517},"\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。",[3669,3672,3675,3678],{"q":3670,"a":3671},"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":3673,"a":3674},"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":3676,"a":3677},"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":580,"a":3679},"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。",[583,1553],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[589,590,591,1556],[3685,3688,3692,3696],{"plan":1139,"price":1562,"features":3686,"notes":3687},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":3248,"price":3689,"features":3690,"notes":3691},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":3254,"price":3693,"features":3694,"notes":3695},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":3260,"price":3697,"features":3698,"notes":3699},"$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",[3702],{"name":3703,"url":3704},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":612,"ux":613,"price":613,"cn_support":551,"stability":612},{"title":3138,"description":3667},"agent\u002Fgeneral\u002Fmsty",[3709,3711,3713,3715],{"name":3710,"url":3631,"accessed":618},"Msty 官网 + Features",{"name":3712,"url":3638,"accessed":618},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":3714,"url":3645,"accessed":618},"ML Journey — Msty Local LLM Comparison Guide",{"name":3716,"url":3652,"accessed":618},"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",[3720,629,631,1598,3721],"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":3726,"title":3727,"alternatives":3728,"api_compatible":22,"body":3738,"category":564,"chinese_friendly":612,"cover":4396,"description":4397,"domestic":567,"extension":568,"faq":4398,"free":567,"github":22,"languages":4411,"meta":4412,"models":22,"navigation":585,"notSuitable":22,"opensource":585,"path":4413,"pillar":587,"platforms":4414,"priceTable":4416,"pricing":4420,"published":606,"relatedPlaybooks":4421,"relatedReviews":22,"score":4425,"self_host":585,"seo":4426,"slug":4427,"sources":4428,"stem":4437,"suitable":22,"tagline":4438,"tags":4439,"updated":618,"verdict":4445,"website":4357,"__hash__":4446},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[3729,3732,3735],{"name":3730,"url":3731},"langflow","\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",{"name":3733,"url":3734},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":3736,"url":3737},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"type":24,"value":3739,"toc":4384},[3740,3742,3749,3752,3754,3830,3832,3849,3853,3857,3883,3887,3913,3915,4065,4068,4074,4076,4241,4243,4301,4303,4329,4331,4348,4350,4380],[27,3741,30],{"id":29},[32,3743,3744,3745,3748],{},"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（",[2574,3746,3747],{},"run_flow.py","）+ Playwright 浏览器自动化 + MCP 工具协议支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习分支 + 自定义工具基类（BaseTool）+ 多模型（GPT-4o \u002F Claude \u002F Qwen VL Plus）。零邀请码、零订阅、零供应商绑定。",[32,3750,3751],{},"适合：想自托管复刻 Manus 体验的开发者；研究 \u002F 学术 \u002F 教育用通用 agent 实现学习；隐私敏感 + 不愿数据上 Manus 商业云；预算紧（只付 LLM API）；中国大陆开发者（搭配 Qwen \u002F DeepSeek 本地化）。不适合：非开发者 \u002F 不会折腾 Python + Playwright；要 GUI \u002F 上手即用；生产级稳定（项目演进快，文档滞后）。",[27,3753,40],{"id":40},[42,3755,3756,3764,3770,3776,3782,3788,3794,3800,3806,3812,3818,3824],{},[45,3757,3758,2530,3761,3763],{},[48,3759,3760],{},"多 agent orchestration",[2574,3762,3747],{}," 编排多个专门 agent 协作",[45,3765,3766,3769],{},[48,3767,3768],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[45,3771,3772,3775],{},[48,3773,3774],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[45,3777,3778,3781],{},[48,3779,3780],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[45,3783,3784,3787],{},[48,3785,3786],{},"OpenManus-RL","：强化学习微调分支",[45,3789,3790,3793],{},[48,3791,3792],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[45,3795,3796,3799],{},[48,3797,3798],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[45,3801,3802,3805],{},[48,3803,3804],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[45,3807,3808,3811],{},[48,3809,3810],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[45,3813,3814,3817],{},[48,3815,3816],{},"Web UI 监控","：实时看 AI thinking process",[45,3819,3820,3823],{},[48,3821,3822],{},"任务可视化","：步骤拆解 + 执行树",[45,3825,3826,3829],{},[48,3827,3828],{},"MIT 协议","：个人 + 商用全免费",[27,3831,114],{"id":114},[42,3833,3834,3840,3843,3846],{},[45,3835,3836,3839],{},[48,3837,3838],{},"Free \u002F OSS","：$0；MIT 协议",[45,3841,3842],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[45,3844,3845],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[45,3847,3848],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[27,3850,3852],{"id":3851},"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）",[32,3854,3855],{},[48,3856,152],{},[42,3858,3859,3862,3865,3868,3871,3874,3877,3880],{},[45,3860,3861],{},"52k stars 印证社区认同度 + 活跃度",[45,3863,3864],{},"MetaGPT 团队背景保证架构质量",[45,3866,3867],{},"多 agent 协作场景比单 agent 实现稳得多",[45,3869,3870],{},"Playwright 浏览器自动化非常完整",[45,3872,3873],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[45,3875,3876],{},"DataAnalysis 内置 agent 模式开箱即用",[45,3878,3879],{},"中文支持自然（Qwen VL Plus 接入）",[45,3881,3882],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[32,3884,3885],{},[48,3886,180],{},[42,3888,3889,3892,3895,3898,3901,3904,3907,3910],{},[45,3890,3891],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[45,3893,3894],{},"文档滞后新功能 1-2 个月",[45,3896,3897],{},"无官方 GUI，监控 UI 在做但不完整",[45,3899,3900],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[45,3902,3903],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[45,3905,3906],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[45,3908,3909],{},"中文 prompt 效果依赖底层模型",[45,3911,3912],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[27,3914,209],{"id":209},[2567,3916,3920],{"className":3917,"code":3918,"language":3919,"meta":550,"style":550},"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",[2574,3921,3922,3938,3947,3975,3989,3999,4005,4010,4021,4027,4031,4037,4046,4051,4057],{"__ignoreMap":550},[3923,3924,3927,3931,3935],"span",{"class":3925,"line":3926},"line",1,[3923,3928,3930],{"class":3929},"sScJk","git",[3923,3932,3934],{"class":3933},"sZZnC"," clone",[3923,3936,3937],{"class":3933}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[3923,3939,3940,3944],{"class":3925,"line":554},[3923,3941,3943],{"class":3942},"sj4cs","cd",[3923,3945,3946],{"class":3933}," OpenManus\n",[3923,3948,3949,3952,3955,3958,3961,3965,3968,3971],{"class":3925,"line":551},[3923,3950,3951],{"class":3929},"python3.12",[3923,3953,3954],{"class":3942}," -m",[3923,3956,3957],{"class":3933}," venv",[3923,3959,3960],{"class":3933}," .venv",[3923,3962,3964],{"class":3963},"sVt8B"," && ",[3923,3966,3967],{"class":3942},"source",[3923,3969,3970],{"class":3933}," .venv\u002Fbin\u002Factivate",[3923,3972,3974],{"class":3973},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[3923,3976,3977,3980,3983,3986],{"class":3925,"line":612},[3923,3978,3979],{"class":3929},"pip",[3923,3981,3982],{"class":3933}," install",[3923,3984,3985],{"class":3942}," -r",[3923,3987,3988],{"class":3933}," requirements.txt\n",[3923,3990,3991,3994,3996],{"class":3925,"line":613},[3923,3992,3993],{"class":3929},"playwright",[3923,3995,3982],{"class":3933},[3923,3997,3998],{"class":3933}," chromium\n",[3923,4000,4002],{"class":3925,"line":4001},6,[3923,4003,4004],{"emptyLinePlaceholder":585},"\n",[3923,4006,4007],{"class":3925,"line":5},[3923,4008,4009],{"class":3973},"# 配 LLM API\n",[3923,4011,4012,4015,4018],{"class":3925,"line":8},[3923,4013,4014],{"class":3929},"cp",[3923,4016,4017],{"class":3933}," config\u002Fconfig.example.toml",[3923,4019,4020],{"class":3933}," config\u002Fconfig.toml\n",[3923,4022,4024],{"class":3925,"line":4023},9,[3923,4025,4026],{"class":3973},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[3923,4028,4029],{"class":3925,"line":7},[3923,4030,4004],{"emptyLinePlaceholder":585},[3923,4032,4034],{"class":3925,"line":4033},11,[3923,4035,4036],{"class":3973},"# 单 agent 模式\n",[3923,4038,4040,4043],{"class":3925,"line":4039},12,[3923,4041,4042],{"class":3929},"python",[3923,4044,4045],{"class":3933}," main.py\n",[3923,4047,4049],{"class":3925,"line":4048},13,[3923,4050,4004],{"emptyLinePlaceholder":585},[3923,4052,4054],{"class":3925,"line":4053},14,[3923,4055,4056],{"class":3973},"# 多 agent 模式\n",[3923,4058,4060,4062],{"class":3925,"line":4059},15,[3923,4061,4042],{"class":3929},[3923,4063,4064],{"class":3933}," run_flow.py\n",[32,4066,4067],{},"试任务示例：",[2567,4069,4072],{"className":4070,"code":4071,"language":2572},[2570],"> 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",[2574,4073,4071],{"__ignoreMap":550},[27,4075,236],{"id":236},[238,4077,4078,4095],{},[241,4079,4080],{},[244,4081,4082,4084,4086,4089,4092],{},[247,4083,249],{},[247,4085,3727],{},[247,4087,4088],{},"LangChain",[247,4090,4091],{},"AutoGPT",[247,4093,4094],{},"CrewAI",[262,4096,4097,4113,4127,4139,4154,4167,4181,4195,4212,4225],{},[244,4098,4099,4101,4104,4107,4110],{},[267,4100,1274],{},[267,4102,4103],{},"现成 agent 实现",[267,4105,4106],{},"building blocks",[267,4108,4109],{},"早期通用 agent",[267,4111,4112],{},"多 agent 框架",[244,4114,4115,4118,4121,4123,4125],{},[267,4116,4117],{},"浏览器自动化",[267,4119,4120],{},"✅ Playwright",[267,4122,353],{},[267,4124,338],{},[267,4126,353],{},[244,4128,4129,4131,4133,4135,4137],{},[267,4130,333],{},[267,4132,288],{},[267,4134,338],{},[267,4136,353],{},[267,4138,353],{},[244,4140,4141,4144,4147,4150,4152],{},[267,4142,4143],{},"多 agent",[267,4145,4146],{},"✅ orchestration",[267,4148,4149],{},"需自搭",[267,4151,381],{},[267,4153,341],{},[244,4155,4156,4159,4161,4163,4165],{},[267,4157,4158],{},"DataAnalysis 内置",[267,4160,288],{},[267,4162,353],{},[267,4164,353],{},[267,4166,353],{},[244,4168,4169,4172,4175,4177,4179],{},[267,4170,4171],{},"RL 微调",[267,4173,4174],{},"✅ OpenManus-RL",[267,4176,353],{},[267,4178,353],{},[267,4180,353],{},[244,4182,4183,4186,4189,4191,4193],{},[267,4184,4185],{},"协议",[267,4187,4188],{},"MIT",[267,4190,4188],{},[267,4192,4188],{},[267,4194,4188],{},[244,4196,4197,4200,4203,4206,4209],{},[267,4198,4199],{},"Stars",[267,4201,4202],{},"52k+",[267,4204,4205],{},"100k+",[267,4207,4208],{},"170k+",[267,4210,4211],{},"30k+",[244,4213,4214,4216,4218,4221,4223],{},[267,4215,209],{},[267,4217,1909],{},[267,4219,4220],{},"难",[267,4222,1909],{},[267,4224,1909],{},[244,4226,4227,4229,4232,4235,4238],{},[267,4228,392],{},[267,4230,4231],{},"自托管 Manus 复刻",[267,4233,4234],{},"底层 framework",[267,4236,4237],{},"学习经典",[267,4239,4240],{},"多 agent 协作",[27,4242,407],{"id":407},[42,4244,4245,4251,4261,4267,4273,4279,4285,4291,4295],{},[45,4246,4247,4250],{},[48,4248,4249],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[45,4252,4253,4256,4257,4260],{},[48,4254,4255],{},"Playwright 依赖大","：首次 ",[2574,4258,4259],{},"playwright install"," 下 chromium 慢，国内走镜像",[45,4262,4263,4266],{},[48,4264,4265],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[45,4268,4269,4272],{},[48,4270,4271],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[45,4274,4275,4278],{},[48,4276,4277],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[45,4280,4281,4284],{},[48,4282,4283],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[45,4286,4287,4290],{},[48,4288,4289],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[45,4292,4293,463],{},[48,4294,462],{},[45,4296,4297,4300],{},[48,4298,4299],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[27,4302,467],{"id":466},[42,4304,4305,4308,4311,4314,4317,4320,4323,4326],{},[45,4306,4307],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[45,4309,4310],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[45,4312,4313],{},"✅ 隐私敏感 + 不愿数据上商业云",[45,4315,4316],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[45,4318,4319],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[45,4321,4322],{},"❌ 要 GUI \u002F 上手即用",[45,4324,4325],{},"❌ 生产级稳定（文档滞后 + 演进快）",[45,4327,4328],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[27,4330,496],{"id":496},[42,4332,4333,4338,4343],{},[45,4334,4335],{},[502,4336,4337],{"href":3731},"Langflow 评测",[45,4339,4340],{},[502,4341,4342],{"href":3734},"n8n 评测",[45,4344,4345],{},[502,4346,4347],{"href":3737},"Composio 评测",[27,4349,517],{"id":517},[211,4351,4352,4359,4366,4373],{},[45,4353,4354,4355],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[502,4356,4357],{"href":4357,"rel":4358},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[527],[45,4360,4361,4362],{},"Foundation Agents — OpenManus 项目介绍 ",[502,4363,4364],{"href":4364,"rel":4365},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[527],[45,4367,4368,4369],{},"Toolsverse — OpenManus 评测 + 52k stars ",[502,4370,4371],{"href":4371,"rel":4372},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[527],[45,4374,4375,4376],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[502,4377,4378],{"href":4378,"rel":4379},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[527],[4381,4382,4383],"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":550,"searchDepth":551,"depth":551,"links":4385},[4386,4387,4388,4389,4390,4391,4392,4393,4394,4395],{"id":29,"depth":554,"text":30},{"id":40,"depth":554,"text":40},{"id":114,"depth":554,"text":114},{"id":3851,"depth":554,"text":3852},{"id":209,"depth":554,"text":209},{"id":236,"depth":554,"text":236},{"id":407,"depth":554,"text":407},{"id":466,"depth":554,"text":467},{"id":496,"depth":554,"text":496},{"id":517,"depth":554,"text":517},"\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。",[4399,4402,4405,4408],{"q":4400,"a":4401},"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":4403,"a":4404},"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":4406,"a":4407},"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":4409,"a":4410},"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。",[583,1552,1553],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[591,589,590,4415],"docker",[4417],{"plan":3838,"price":1562,"features":4418,"notes":4419},"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）",[4422],{"name":4423,"url":4424},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":613,"ux":551,"price":613,"cn_support":612,"stability":551},{"title":3727,"description":4397},"agent\u002Fgeneral\u002Fopenmanus",[4429,4431,4433,4435],{"name":4430,"url":4357,"accessed":618},"OpenManus GitHub（FoundationAgents 组织）",{"name":4432,"url":4364,"accessed":618},"Foundation Agents — OpenManus 项目介绍",{"name":4434,"url":4371,"accessed":618},"Toolsverse — OpenManus 评测 + 52k stars",{"name":4436,"url":4378,"accessed":618},"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",[4440,2154,4441,4442,4443,4444],"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",[],1782316490357]