[{"data":1,"prerenderedAt":4469},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fgeneral\u002Fmsty":9,"tool-stats-agent\u002Fgeneral\u002Fmsty":661,"cat-rank-agent-general":664,"tool-related-agent\u002Fgeneral\u002Fmsty":4468},{"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":583,"chinese_friendly":570,"cover":584,"description":585,"domestic":586,"extension":587,"faq":588,"free":586,"github":22,"languages":601,"meta":604,"models":22,"navigation":605,"notSuitable":22,"opensource":586,"path":606,"pillar":607,"platforms":608,"priceTable":613,"pricing":629,"published":630,"relatedPlaybooks":631,"relatedReviews":22,"score":635,"self_host":605,"seo":638,"slug":639,"sources":640,"stem":650,"suitable":22,"tagline":651,"tags":652,"updated":643,"verdict":658,"website":659,"__hash__":660},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[13,16,19],{"name":14,"url":15},"ollama","\u002Ftools\u002Fcoding\u002Flocal\u002Follama",{"name":17,"url":18},"lm-studio","\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio",{"name":20,"url":21},"open-webui","\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",null,{"type":24,"value":25,"toc":568},"minimark",[26,31,35,38,41,118,121,147,153,157,162,188,193,219,222,246,249,424,427,483,487,513,516,534,537],[27,28,30],"h2",{"id":29},"tldr","TL;DR",[32,33,34],"p",{},"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。",[32,36,37],{},"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）。",[27,39,40],{"id":40},"核心能力",[42,43,44,52,58,64,70,76,82,88,94,100,106,112],"ul",{},[45,46,47,51],"li",{},[48,49,50],"strong",{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[45,53,54,57],{},[48,55,56],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[45,59,60,63],{},[48,61,62],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[45,65,66,69],{},[48,67,68],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[45,71,72,75],{},[48,73,74],{},"Prompt Studio","：变量 + 模板 + 测试",[45,77,78,81],{},[48,79,80],{},"Persona Studio","：自定义角色 + 工具 + context",[45,83,84,87],{},[48,85,86],{},"Skills Studio","：可复用能力包",[45,89,90,93],{},[48,91,92],{},"Agent Mode","：多步执行 + 工具调用",[45,95,96,99],{},[48,97,98],{},"Flowchart 对话","：分支可视化",[45,101,102,105],{},[48,103,104],{},"Real-time 数据","：实时 web fetch",[45,107,108,111],{},[48,109,110],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[45,113,114,117],{},[48,115,116],{},"Cloud Sync","（Aurum）：跨设备同步对话",[27,119,120],{"id":120},"价格",[42,122,123,129,135,141],{},[45,124,125,128],{},[48,126,127],{},"Free","：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[45,130,131,134],{},[48,132,133],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[45,136,137,140],{},[48,138,139],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[45,142,143,146],{},[48,144,145],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[148,149,150],"blockquote",{},[32,151,152],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[27,154,156],{"id":155},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[32,158,159],{},[48,160,161],{},"亮点：",[42,163,164,167,170,173,176,179,182,185],{},[45,165,166],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[45,168,169],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[45,171,172],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[45,174,175],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[45,177,178],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[45,180,181],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[45,183,184],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[45,186,187],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[32,189,190],{},[48,191,192],{},"踩坑：",[42,194,195,198,201,204,207,210,213,216],{},[45,196,197],{},"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",[45,199,200],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[45,202,203],{},"桌面 only，无 iOS \u002F Android",[45,205,206],{},"llama.cpp 更新滞后官方上游 1-2 版本",[45,208,209],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[45,211,212],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[45,214,215],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[45,217,218],{},"中文 UI 不完整，部分功能仍是英文",[27,220,221],{"id":221},"上手",[223,224,225,228,231,234,237,240,243],"ol",{},[45,226,227],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[45,229,230],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[45,232,233],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[45,235,236],{},"加云模型：OpenAI Key + Anthropic Key",[45,238,239],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[45,241,242],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[45,244,245],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[27,247,248],{"id":248},"对比",[250,251,252,273],"table",{},[253,254,255],"thead",{},[256,257,258,262,264,267,270],"tr",{},[259,260,261],"th",{},"维度",[259,263,11],{},[259,265,266],{},"Ollama",[259,268,269],{},"LM Studio",[259,271,272],{},"Jan",[274,275,276,293,308,323,337,350,364,379,393,407],"tbody",{},[256,277,278,282,285,288,291],{},[279,280,281],"td",{},"GUI",[279,283,284],{},"✅ 颜值高",[279,286,287],{},"❌ CLI",[279,289,290],{},"✅",[279,292,290],{},[256,294,295,298,301,303,306],{},[279,296,297],{},"本地引擎",[279,299,300],{},"MLX\u002Fllama.cpp\u002FOllama",[279,302,266],{},[279,304,305],{},"llama.cpp",[279,307,305],{},[256,309,310,313,315,318,320],{},[279,311,312],{},"云模型",[279,314,290],{},[279,316,317],{},"❌",[279,319,317],{},[279,321,322],{},"部分",[256,324,325,327,330,332,334],{},[279,326,62],{},[279,328,329],{},"✅ 旗舰",[279,331,317],{},[279,333,322],{},[279,335,336],{},"–",[256,338,339,341,344,346,348],{},[279,340,68],{},[279,342,343],{},"✅ per-conv",[279,345,317],{},[279,347,317],{},[279,349,322],{},[256,351,352,355,358,360,362],{},[279,353,354],{},"Studios",[279,356,357],{},"✅ Prompt\u002FPersona\u002FSkills",[279,359,336],{},[279,361,336],{},[279,363,336],{},[256,365,366,369,371,374,376],{},[279,367,368],{},"开源",[279,370,317],{},[279,372,373],{},"✅ MIT",[279,375,317],{},[279,377,378],{},"✅ Apache 2.0",[256,380,381,384,387,389,391],{},[279,382,383],{},"起价",[279,385,386],{},"$0",[279,388,386],{},[279,390,386],{},[279,392,386],{},[256,394,395,398,401,403,405],{},[279,396,397],{},"终身",[279,399,400],{},"$349",[279,402,336],{},[279,404,336],{},[279,406,336],{},[256,408,409,412,415,418,421],{},[279,410,411],{},"适合",[279,413,414],{},"桌面颜值 + 多模型",[279,416,417],{},"CLI \u002F Server",[279,419,420],{},"模型市场",[279,422,423],{},"严格开源",[27,425,426],{"id":426},"避坑",[42,428,429,435,441,447,453,459,465,471,477],{},[45,430,431,434],{},[48,432,433],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[45,436,437,440],{},[48,438,439],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[45,442,443,446],{},[48,444,445],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[45,448,449,452],{},[48,450,451],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[45,454,455,458],{},[48,456,457],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[45,460,461,464],{},[48,462,463],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[45,466,467,470],{},[48,468,469],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[45,472,473,476],{},[48,474,475],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[45,478,479,482],{},[48,480,481],{},"MCP server","：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[27,484,486],{"id":485},"适合-不适合","适合 \u002F 不适合",[42,488,489,492,495,498,501,504,507,510],{},[45,490,491],{},"✅ 隐私敏感 + 数据零云",[45,493,494],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[45,496,497],{},"✅ 不愿学 Ollama CLI 的非工程师",[45,499,500],{},"✅ 多模型对比决策场景",[45,502,503],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[45,505,506],{},"❌ 要 mobile 移动主力",[45,508,509],{},"❌ 团队协作 + 共享 workspace",[45,511,512],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[27,514,515],{"id":515},"相关阅读",[42,517,518,524,529],{},[45,519,520],{},[521,522,523],"a",{"href":15},"Ollama 评测",[45,525,526],{},[521,527,528],{"href":18},"LM Studio 评测",[45,530,531],{},[521,532,533],{"href":21},"Open WebUI 评测",[27,535,536],{"id":536},"来源",[223,538,539,547,554,561],{},[45,540,541,542],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[521,543,544],{"href":544,"rel":545},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[546],"nofollow",[45,548,549,550],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[521,551,552],{"href":552,"rel":553},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[546],[45,555,556,557],{},"ML Journey — Msty Multi-model Comparison Guide ",[521,558,559],{"href":559,"rel":560},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[546],[45,562,563,564],{},"AISO Tools — Msty Pricing 2026 ",[521,565,566],{"href":566,"rel":567},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[546],{"title":569,"searchDepth":570,"depth":570,"links":571},"",3,[572,574,575,576,577,578,579,580,581,582],{"id":29,"depth":573,"text":30},2,{"id":40,"depth":573,"text":40},{"id":120,"depth":573,"text":120},{"id":155,"depth":573,"text":156},{"id":221,"depth":573,"text":221},{"id":248,"depth":573,"text":248},{"id":426,"depth":573,"text":426},{"id":485,"depth":573,"text":486},{"id":515,"depth":573,"text":515},{"id":536,"depth":573,"text":536},"general","\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。",false,"md",[589,592,595,598],{"q":590,"a":591},"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":593,"a":594},"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":596,"a":597},"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":599,"a":600},"中国大陆能用吗？","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。",[602,603],"en","multi",{},true,"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty","agent",[609,610,611,612],"macos","windows","linux","web",[614,617,621,625],{"plan":127,"price":386,"features":615,"notes":616},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":133,"price":618,"features":619,"notes":620},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":139,"price":622,"features":623,"notes":624},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":145,"price":626,"features":627,"notes":628},"$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","2026-06-19",[632],{"name":633,"url":634},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":636,"ux":637,"price":637,"cn_support":570,"stability":636},4,5,{"title":11,"description":585},"agent\u002Fgeneral\u002Fmsty",[641,644,646,648],{"name":642,"url":544,"accessed":643},"Msty 官网 + Features","2026-06-24",{"name":645,"url":552,"accessed":643},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":647,"url":559,"accessed":643},"ML Journey — Msty Local LLM Comparison Guide",{"name":649,"url":566,"accessed":643},"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",[653,654,655,656,657],"local-first","multi-model","privacy","knowledge-base","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",{"ok":605,"slug":662,"viewCount":663,"clickCount":663,"avgRating":663,"ratingCount":663},"agent%2Fgeneral%2Fmsty",0,[665,1235,1783,2342,3318,3746],{"id":666,"title":667,"alternatives":668,"api_compatible":22,"body":678,"category":583,"chinese_friendly":570,"cover":1179,"description":1180,"domestic":586,"extension":587,"faq":1181,"free":586,"github":22,"languages":1193,"meta":1194,"models":22,"navigation":605,"notSuitable":22,"opensource":586,"path":1195,"pillar":607,"platforms":1196,"priceTable":1197,"pricing":1210,"published":630,"relatedPlaybooks":1211,"relatedReviews":22,"score":1215,"self_host":586,"seo":1216,"slug":1217,"sources":1218,"stem":1226,"suitable":22,"tagline":1227,"tags":1228,"updated":643,"verdict":1232,"website":1233,"__hash__":1234},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[669,672,675],{"name":670,"url":671},"claude-desktop","\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",{"name":673,"url":674},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":676,"url":677},"flowith","\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith",{"type":24,"value":679,"toc":1167},[680,682,685,688,690,758,760,783,788,792,796,819,823,849,851,874,876,1031,1033,1088,1090,1116,1118,1135,1137],[27,681,30],{"id":29},[32,683,684],{},"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。",[32,686,687],{},"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。",[27,689,40],{"id":40},[42,691,692,698,704,710,716,722,728,734,740,746,752],{},[45,693,694,697],{},[48,695,696],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[45,699,700,703],{},[48,701,702],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[45,705,706,709],{},[48,707,708],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[45,711,712,715],{},[48,713,714],{},"200+ Skills","：power user 社区贡献的能力包",[45,717,718,721],{},[48,719,720],{},"MCP 集成","：可调用 MCP server 工具",[45,723,724,727],{},[48,725,726],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[45,729,730,733],{},[48,731,732],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[45,735,736,739],{},[48,737,738],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[45,741,742,745],{},[48,743,744],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[45,747,748,751],{},[48,749,750],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[45,753,754,757],{},[48,755,756],{},"3 周免费试用","：体验完整再决策",[27,759,120],{"id":120},[42,761,762,768,774,780],{},[45,763,764,767],{},[48,765,766],{},"Free Trial","：3 周完整功能，无信用卡",[45,769,770,773],{},[48,771,772],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[45,775,776,779],{},[48,777,778],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[45,781,782],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[148,784,785],{},[32,786,787],{},"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。",[27,789,791],{"id":790},"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）",[32,793,794],{},[48,795,161],{},[42,797,798,801,804,807,810,813,816],{},[45,799,800],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[45,802,803],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[45,805,806],{},"50+ Assistants 节省 prompt engineering 时间",[45,808,809],{},"数据本地 + 无 telemetry，隐私党非常友好",[45,811,812],{},"一次买断 vs 多家月费的累计性价比高",[45,814,815],{},"BYO API 让账单透明，不会有平台抽成",[45,817,818],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[32,820,821],{},[48,822,192],{},[42,824,825,828,831,834,837,840,843,846],{},[45,826,827],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[45,829,830],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[45,832,833],{},"移动端缺失，出门用不上",[45,835,836],{},"Linux 版本更新偶尔比 macOS 慢",[45,838,839],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[45,841,842],{},"50+ Assistants 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Spotlight 冲突，改为 Cmd+\u002F",[45,1072,1073,1076],{},[48,1074,1075],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[45,1078,1079,1082],{},[48,1080,1081],{},"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",[45,1084,1085,1087],{},[48,1086,481],{},"：信任来源很重要，能访问的目录 \u002F 工具要审慎",[27,1089,486],{"id":485},[42,1091,1092,1095,1098,1101,1104,1107,1110,1113],{},[45,1093,1094],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[45,1096,1097],{},"✅ 多模型用户不想被单 vendor 锁定",[45,1099,1100],{},"✅ 隐私敏感 + 数据全本地",[45,1102,1103],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[45,1105,1106],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[45,1108,1109],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[45,1111,1112],{},"❌ 不想管理 API Key 的纯用户",[45,1114,1115],{},"❌ 中国大陆海外卡 + API 不可得",[27,1117,515],{"id":515},[42,1119,1120,1125,1130],{},[45,1121,1122],{},[521,1123,1124],{"href":671},"Claude Desktop 评测",[45,1126,1127],{},[521,1128,1129],{"href":674},"OpenClaw 评测",[45,1131,1132],{},[521,1133,1134],{"href":677},"Flowith 评测",[27,1136,536],{"id":536},[223,1138,1139,1146,1153,1160],{},[45,1140,1141,1142],{},"Alice 官网（heyalice.app）",[521,1143,1144],{"href":1144,"rel":1145},"https:\u002F\u002Fheyalice.app\u002F",[546],[45,1147,1148,1149],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[521,1150,1151],{"href":1151,"rel":1152},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[546],[45,1154,1155,1156],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[521,1157,1158],{"href":1158,"rel":1159},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[546],[45,1161,1162,1163],{},"Skywork — Alice AI Ultimate 2026 Guide ",[521,1164,1165],{"href":1165,"rel":1166},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[546],{"title":569,"searchDepth":570,"depth":570,"links":1168},[1169,1170,1171,1172,1173,1174,1175,1176,1177,1178],{"id":29,"depth":573,"text":30},{"id":40,"depth":573,"text":40},{"id":120,"depth":573,"text":120},{"id":790,"depth":573,"text":791},{"id":221,"depth":573,"text":221},{"id":248,"depth":573,"text":248},{"id":426,"depth":573,"text":426},{"id":485,"depth":573,"text":486},{"id":515,"depth":573,"text":515},{"id":536,"depth":573,"text":536},"\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。",[1182,1185,1188,1191],{"q":1183,"a":1184},"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":1186,"a":1187},"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":1189,"a":1190},"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":599,"a":1192},"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。",[602],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",[609,610,611],[1198,1202,1206],{"plan":766,"price":1199,"features":1200,"notes":1201},"$0 · 3 周","完整功能体验","无信用卡",{"plan":772,"price":1203,"features":1204,"notes":1205},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":778,"price":1207,"features":1208,"notes":1209},"~$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",[1212],{"name":1213,"url":1214},"macOS 全局 AI 工作流","\u002Fplaybook\u002Fonboarding\u002Fmacos-global-ai-workflow",{"power":636,"ux":637,"price":636,"cn_support":570,"stability":636},{"title":667,"description":1180},"agent\u002Fgeneral\u002Falice",[1219,1220,1222,1224],{"name":1141,"url":1144,"accessed":643},{"name":1221,"url":1151,"accessed":643},"Comparateur-IA — Alice AI Review 2026",{"name":1223,"url":1158,"accessed":643},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1225,"url":1165,"accessed":643},"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",[1229,654,1230,655,1231,609],"desktop-assistant","byo-api","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":1236,"title":1237,"alternatives":1238,"api_compatible":22,"body":1245,"category":583,"chinese_friendly":636,"cover":1722,"description":1723,"domestic":586,"extension":587,"faq":1724,"free":586,"github":22,"languages":1737,"meta":1739,"models":22,"navigation":605,"notSuitable":22,"opensource":586,"path":677,"pillar":607,"platforms":1740,"priceTable":1743,"pricing":1759,"published":630,"relatedPlaybooks":1760,"relatedReviews":22,"score":1764,"self_host":586,"seo":1765,"slug":1766,"sources":1767,"stem":1776,"suitable":22,"tagline":1777,"tags":1778,"updated":643,"verdict":1781,"website":1687,"__hash__":1782},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[1239,1242,1244],{"name":1240,"url":1241},"genspark","\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",{"name":1243,"url":1195},"alice",{"name":670,"url":671},{"type":24,"value":1246,"toc":1710},[1247,1249,1252,1255,1257,1319,1321,1346,1351,1355,1359,1382,1386,1412,1414,1434,1436,1569,1571,1632,1634,1660,1662,1678,1680],[27,1248,30],{"id":29},[32,1250,1251],{},"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。",[32,1253,1254],{},"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。",[27,1256,40],{"id":40},[42,1258,1259,1265,1271,1277,1283,1289,1295,1301,1307,1313],{},[45,1260,1261,1264],{},[48,1262,1263],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[45,1266,1267,1270],{},[48,1268,1269],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[45,1272,1273,1276],{},[48,1274,1275],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[45,1278,1279,1282],{},[48,1280,1281],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[45,1284,1285,1288],{},[48,1286,1287],{},"多线程并行","：同时跑多个 thread，画布一览",[45,1290,1291,1294],{},[48,1292,1293],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[45,1296,1297,1300],{},[48,1298,1299],{},"iOS App","：2026 上线，移动 workspace 访问",[45,1302,1303,1306],{},[48,1304,1305],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[45,1308,1309,1312],{},[48,1310,1311],{},"商业授权","：Pro+ 包含商业使用权",[45,1314,1315,1318],{},[48,1316,1317],{},"Web Control UI","：浏览器原生，多设备同步",[27,1320,120],{"id":120},[42,1322,1323,1328,1334,1340],{},[45,1324,1325,1327],{},[48,1326,127],{},"：$0；300 一次性 credits（试水级）",[45,1329,1330,1333],{},[48,1331,1332],{},"Pro","：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[45,1335,1336,1339],{},[48,1337,1338],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[45,1341,1342,1345],{},[48,1343,1344],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[148,1347,1348],{},[32,1349,1350],{},"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。",[27,1352,1354],{"id":1353},"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）",[32,1356,1357],{},[48,1358,161],{},[42,1360,1361,1364,1367,1370,1373,1376,1379],{},[45,1362,1363],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[45,1365,1366],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[45,1368,1369],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[45,1371,1372],{},"40+ 模型一窗体内切换 + 对比",[45,1374,1375],{},"多设备同步流畅",[45,1377,1378],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[45,1380,1381],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[32,1383,1384],{},[48,1385,192],{},[42,1387,1388,1391,1394,1397,1400,1403,1406,1409],{},[45,1389,1390],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[45,1392,1393],{},"学习曲线明显，画布操作 + 节点连线要花时间",[45,1395,1396],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[45,1398,1399],{},"Free 300 credits 不够体验完整流程",[45,1401,1402],{},"Agent Neo 偶尔『过度自治』产出不可控",[45,1404,1405],{},"移动 iOS 体验不如桌面 Web",[45,1407,1408],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[45,1410,1411],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[27,1413,221],{"id":221},[223,1415,1416,1419,1422,1425,1428,1431],{},[45,1417,1418],{},"flowith.io → Free 注册 → 拿 300 credits",[45,1420,1421],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[45,1423,1424],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[45,1426,1427],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[45,1429,1430],{},"Agent Neo → 给一个完整目标（\"做一份 AI Agent 2026 竞品分析报告 + 网站\"）→ 等 30 分钟看结果",[45,1432,1433],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[27,1435,248],{"id":248},[250,1437,1438,1455],{},[253,1439,1440],{},[256,1441,1442,1444,1446,1449,1452],{},[259,1443,261],{},[259,1445,1237],{},[259,1447,1448],{},"Genspark",[259,1450,1451],{},"ChatGPT",[259,1453,1454],{},"Claude",[274,1456,1457,1473,1490,1507,1524,1539,1553],{},[256,1458,1459,1462,1465,1468,1471],{},[279,1460,1461],{},"形态",[279,1463,1464],{},"无限画布 + 节点",[279,1466,1467],{},"多 Agent + Sparkpage",[279,1469,1470],{},"线性 chat",[279,1472,1470],{},[256,1474,1475,1478,1481,1484,1487],{},[279,1476,1477],{},"自治 agent",[279,1479,1480],{},"✅ Neo 1000+ 步",[279,1482,1483],{},"✅ Super Agent",[279,1485,1486],{},"✅ Operator",[279,1488,1489],{},"❌（API 走）",[256,1491,1492,1495,1498,1501,1504],{},[279,1493,1494],{},"上下文",[279,1496,1497],{},"10M token",[279,1499,1500],{},"200K",[279,1502,1503],{},"1M（GPT-5）",[279,1505,1506],{},"1M（Claude）",[256,1508,1509,1512,1515,1518,1521],{},[279,1510,1511],{},"模型数",[279,1513,1514],{},"40+",[279,1516,1517],{},"多家",[279,1519,1520],{},"OpenAI",[279,1522,1523],{},"Anthropic",[256,1525,1526,1529,1532,1534,1537],{},[279,1527,1528],{},"Knowledge base",[279,1530,1531],{},"✅ Seeds",[279,1533,336],{},[279,1535,1536],{},"Projects",[279,1538,1536],{},[256,1540,1541,1543,1546,1549,1551],{},[279,1542,383],{},[279,1544,1545],{},"$19.90\u002F月",[279,1547,1548],{},"$25\u002F月",[279,1550,942],{},[279,1552,942],{},[256,1554,1555,1557,1560,1563,1566],{},[279,1556,411],{},[279,1558,1559],{},"深度多线程 + 长任务",[279,1561,1562],{},"全能 Super Agent",[279,1564,1565],{},"通用",[279,1567,1568],{},"Coding \u002F 长文",[27,1570,426],{"id":426},[42,1572,1573,1579,1585,1591,1597,1603,1609,1615,1620,1626],{},[45,1574,1575,1578],{},[48,1576,1577],{},"从 Pro 起","：Free 300 credits 玩不出深度",[45,1580,1581,1584],{},[48,1582,1583],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[45,1586,1587,1590],{},[48,1588,1589],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[45,1592,1593,1596],{},[48,1594,1595],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[45,1598,1599,1602],{},[48,1600,1601],{},"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",[45,1604,1605,1608],{},[48,1606,1607],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[45,1610,1611,1614],{},[48,1612,1613],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[45,1616,1617,1619],{},[48,1618,1006],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[45,1621,1622,1625],{},[48,1623,1624],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[45,1627,1628,1631],{},[48,1629,1630],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[27,1633,486],{"id":485},[42,1635,1636,1639,1642,1645,1648,1651,1654,1657],{},[45,1637,1638],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[45,1640,1641],{},"✅ 要 10M token 超长上下文做综合分析",[45,1643,1644],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[45,1646,1647],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[45,1649,1650],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[45,1652,1653],{},"❌ 预算极紧 + 不愿学习曲线",[45,1655,1656],{},"❌ 线性思维 + 单线程偏好",[45,1658,1659],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[27,1661,515],{"id":515},[42,1663,1664,1669,1674],{},[45,1665,1666],{},[521,1667,1668],{"href":1241},"Genspark 评测",[45,1670,1671],{},[521,1672,1673],{"href":1195},"Alice 评测",[45,1675,1676],{},[521,1677,1124],{"href":671},[27,1679,536],{"id":536},[223,1681,1682,1689,1696,1703],{},[45,1683,1684,1685],{},"Flowith 官网 + Pricing ",[521,1686,1687],{"href":1687,"rel":1688},"https:\u002F\u002Fflowith.io",[546],[45,1690,1691,1692],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[521,1693,1694],{"href":1694,"rel":1695},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[546],[45,1697,1698,1699],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[521,1700,1701],{"href":1701,"rel":1702},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[546],[45,1704,1705,1706],{},"OpenTools — Flowith Review May 2026 ",[521,1707,1708],{"href":1708,"rel":1709},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[546],{"title":569,"searchDepth":570,"depth":570,"links":1711},[1712,1713,1714,1715,1716,1717,1718,1719,1720,1721],{"id":29,"depth":573,"text":30},{"id":40,"depth":573,"text":40},{"id":120,"depth":573,"text":120},{"id":1353,"depth":573,"text":1354},{"id":221,"depth":573,"text":221},{"id":248,"depth":573,"text":248},{"id":426,"depth":573,"text":426},{"id":485,"depth":573,"text":486},{"id":515,"depth":573,"text":515},{"id":536,"depth":573,"text":536},"\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。",[1725,1728,1731,1734],{"q":1726,"a":1727},"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":1729,"a":1730},"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":1732,"a":1733},"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":1735,"a":1736},"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。",[602,1738,603],"zh",{},[612,1741,1742],"ios","macos-flowithos",[1744,1748,1751,1755],{"plan":1745,"price":386,"features":1746,"notes":1747},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":1332,"price":1545,"features":1749,"notes":1750},"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":1338,"price":1752,"features":1753,"notes":1754},"$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":1344,"price":1756,"features":1757,"notes":1758},"$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）",[1761],{"name":1762,"url":1763},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":637,"ux":636,"price":570,"cn_support":636,"stability":636},{"title":1237,"description":1723},"agent\u002Fgeneral\u002Fflowith",[1768,1770,1772,1774],{"name":1769,"url":1687,"accessed":643},"Flowith 官网",{"name":1771,"url":1694,"accessed":643},"Toolworthy — Flowith Review 2026",{"name":1773,"url":1701,"accessed":643},"BlockSentient — Flowith 2026 详细评测",{"name":1775,"url":1708,"accessed":643},"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",[1779,654,1780,656,676],"canvas","agentic","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":1784,"title":1448,"alternatives":1785,"api_compatible":22,"body":1789,"category":583,"chinese_friendly":636,"cover":2287,"description":2288,"domestic":586,"extension":587,"faq":2289,"free":586,"github":22,"languages":2302,"meta":2303,"models":22,"navigation":605,"notSuitable":22,"opensource":586,"path":1241,"pillar":607,"platforms":2304,"priceTable":2306,"pricing":2315,"published":630,"relatedPlaybooks":2316,"relatedReviews":22,"score":2320,"self_host":586,"seo":2321,"slug":2322,"sources":2323,"stem":2332,"suitable":22,"tagline":2333,"tags":2334,"updated":643,"verdict":2339,"website":2340,"__hash__":2341},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[1786,1787,1788],{"name":676,"url":677},{"name":670,"url":671},{"name":1243,"url":1195},{"type":24,"value":1790,"toc":2275},[1791,1793,1796,1799,1801,1875,1877,1901,1906,1910,1914,1937,1941,1967,1969,1989,1991,2141,2143,2199,2201,2227,2229,2243,2245],[27,1792,30],{"id":29},[32,1794,1795],{},"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。",[32,1797,1798],{},"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）。",[27,1800,40],{"id":40},[42,1802,1803,1809,1815,1821,1827,1833,1839,1845,1851,1857,1863,1869],{},[45,1804,1805,1808],{},[48,1806,1807],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[45,1810,1811,1814],{},[48,1812,1813],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[45,1816,1817,1820],{},[48,1818,1819],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[45,1822,1823,1826],{},[48,1824,1825],{},"AI Slides","：10-15 张幻灯片含图表",[45,1828,1829,1832],{},[48,1830,1831],{},"AI Sites","：完整 landing page 一键生成",[45,1834,1835,1838],{},[48,1836,1837],{},"AI Video","：30-60s 短视频生成",[45,1840,1841,1844],{},[48,1842,1843],{},"AI Pods","：10 分钟 AI podcast 生成",[45,1846,1847,1850],{},[48,1848,1849],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[45,1852,1853,1856],{},[48,1854,1855],{},"AI Sheets","：CSV 数据分析 + 自动图表",[45,1858,1859,1862],{},[48,1860,1861],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[45,1864,1865,1868],{},[48,1866,1867],{},"iOS \u002F Android App","：移动端可用",[45,1870,1871,1874],{},[48,1872,1873],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[27,1876,120],{"id":120},[42,1878,1879,1884,1890,1895],{},[45,1880,1881,1883],{},[48,1882,127],{},"：100-200 daily credits（~3-8 简单任务）",[45,1885,1886,1889],{},[48,1887,1888],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[45,1891,1892,1894],{},[48,1893,1332],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[45,1896,1897,1900],{},[48,1898,1899],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[148,1902,1903],{},[32,1904,1905],{},"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。",[27,1907,1909],{"id":1908},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[32,1911,1912],{},[48,1913,161],{},[42,1915,1916,1919,1922,1925,1928,1931,1934],{},[45,1917,1918],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[45,1920,1921],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[45,1923,1924],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[45,1926,1927],{},"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",[45,1929,1930],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[45,1932,1933],{},"Sparkpage 输出可直接分享 + 嵌入",[45,1935,1936],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[32,1938,1939],{},[48,1940,192],{},[42,1942,1943,1946,1949,1952,1955,1958,1961,1964],{},[45,1944,1945],{},"credit 消耗不透明，复杂任务前难估算成本",[45,1947,1948],{},"用户反馈 customer support + refund 有问题",[45,1950,1951],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[45,1953,1954],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[45,1956,1957],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[45,1959,1960],{},"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",[45,1962,1963],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[45,1965,1966],{},"Pro $249 月价格陡，中端断档",[27,1968,221],{"id":221},[223,1970,1971,1974,1977,1980,1983,1986],{},[45,1972,1973],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[45,1975,1976],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[45,1978,1979],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[45,1981,1982],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[45,1984,1985],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[45,1987,1988],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[27,1990,248],{"id":248},[250,1992,1993,2009],{},[253,1994,1995],{},[256,1996,1997,1999,2001,2003,2006],{},[259,1998,261],{},[259,2000,1448],{},[259,2002,1237],{},[259,2004,2005],{},"Perplexity Pro",[259,2007,2008],{},"ChatGPT Plus",[274,2010,2011,2026,2041,2055,2069,2084,2098,2111,2126],{},[256,2012,2013,2015,2018,2021,2023],{},[279,2014,1807],{},[279,2016,2017],{},"✅ 多 Agent",[279,2019,2020],{},"✅ Neo 自治",[279,2022,336],{},[279,2024,2025],{},"Operator",[256,2027,2028,2031,2034,2037,2039],{},[279,2029,2030],{},"可视化输出",[279,2032,2033],{},"✅ Sparkpage",[279,2035,2036],{},"✅ 画布",[279,2038,336],{},[279,2040,336],{},[256,2042,2043,2046,2049,2051,2053],{},[279,2044,2045],{},"真实电话调用",[279,2047,2048],{},"✅ Call For Me",[279,2050,336],{},[279,2052,336],{},[279,2054,336],{},[256,2056,2057,2060,2063,2065,2067],{},[279,2058,2059],{},"一键建站",[279,2061,2062],{},"✅ AI Sites",[279,2064,336],{},[279,2066,336],{},[279,2068,336],{},[256,2070,2071,2074,2077,2079,2081],{},[279,2072,2073],{},"视频 \u002F 音频生成",[279,2075,2076],{},"✅ Video \u002F Pods",[279,2078,322],{},[279,2080,336],{},[279,2082,2083],{},"Sora（独立）",[256,2085,2086,2089,2092,2094,2096],{},[279,2087,2088],{},"引用透明",[279,2090,2091],{},"中",[279,2093,336],{},[279,2095,904],{},[279,2097,322],{},[256,2099,2100,2102,2105,2107,2109],{},[279,2101,383],{},[279,2103,2104],{},"$25\u002F月（Plus）",[279,2106,1545],{},[279,2108,942],{},[279,2110,942],{},[256,2112,2113,2116,2119,2121,2123],{},[279,2114,2115],{},"最贵",[279,2117,2118],{},"$249\u002F月",[279,2120,1756],{},[279,2122,942],{},[279,2124,2125],{},"$200\u002F月",[256,2127,2128,2130,2133,2136,2139],{},[279,2129,411],{},[279,2131,2132],{},"一站式 Super Agent",[279,2134,2135],{},"画布深度",[279,2137,2138],{},"搜索引用",[279,2140,1565],{},[27,2142,426],{"id":426},[42,2144,2145,2151,2157,2163,2169,2175,2181,2187,2193],{},[45,2146,2147,2150],{},[48,2148,2149],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[45,2152,2153,2156],{},[48,2154,2155],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[45,2158,2159,2162],{},[48,2160,2161],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[45,2164,2165,2168],{},[48,2166,2167],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[45,2170,2171,2174],{},[48,2172,2173],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[45,2176,2177,2180],{},[48,2178,2179],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[45,2182,2183,2186],{},[48,2184,2185],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[45,2188,2189,2192],{},[48,2190,2191],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[45,2194,2195,2198],{},[48,2196,2197],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[27,2200,486],{"id":485},[42,2202,2203,2206,2209,2212,2215,2218,2221,2224],{},[45,2204,2205],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[45,2207,2208],{},"✅ Plus $25 重度多模型不限 chat 用户",[45,2210,2211],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[45,2213,2214],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[45,2216,2217],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[45,2219,2220],{},"❌ 学术严谨场景",[45,2222,2223],{},"❌ 预算极紧",[45,2225,2226],{},"❌ 要画布 + 多线程深度（用 Flowith）",[27,2228,515],{"id":515},[42,2230,2231,2235,2239],{},[45,2232,2233],{},[521,2234,1134],{"href":677},[45,2236,2237],{},[521,2238,1124],{"href":671},[45,2240,2241],{},[521,2242,1673],{"href":1195},[27,2244,536],{"id":536},[223,2246,2247,2254,2261,2268],{},[45,2248,2249,2250],{},"Genspark Pricing 官方 ",[521,2251,2252],{"href":2252,"rel":2253},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[546],[45,2255,2256,2257],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[521,2258,2259],{"href":2259,"rel":2260},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[546],[45,2262,2263,2264],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[521,2265,2266],{"href":2266,"rel":2267},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[546],[45,2269,2270,2271],{},"Lindy — Genspark Features 2026 Tested ",[521,2272,2273],{"href":2273,"rel":2274},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[546],{"title":569,"searchDepth":570,"depth":570,"links":2276},[2277,2278,2279,2280,2281,2282,2283,2284,2285,2286],{"id":29,"depth":573,"text":30},{"id":40,"depth":573,"text":40},{"id":120,"depth":573,"text":120},{"id":1908,"depth":573,"text":1909},{"id":221,"depth":573,"text":221},{"id":248,"depth":573,"text":248},{"id":426,"depth":573,"text":426},{"id":485,"depth":573,"text":486},{"id":515,"depth":573,"text":515},{"id":536,"depth":573,"text":536},"\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。",[2290,2293,2296,2299],{"q":2291,"a":2292},"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":2294,"a":2295},"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":2297,"a":2298},"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":2300,"a":2301},"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。",[602,1738,603],{},[612,1741,2305],"android",[2307,2309,2312],{"plan":127,"price":386,"features":2308,"notes":1747},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":1888,"price":1548,"features":2310,"notes":2311},"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":1332,"price":2118,"features":2313,"notes":2314},"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",[2317],{"name":2318,"url":2319},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":637,"ux":636,"price":570,"cn_support":570,"stability":636},{"title":1448,"description":2288},"agent\u002Fgeneral\u002Fgenspark",[2324,2326,2328,2330],{"name":2325,"url":2252,"accessed":643},"Genspark 官网 + Pricing",{"name":2327,"url":2259,"accessed":643},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":2329,"url":2266,"accessed":643},"Rimo — Genspark 2026 + ARR $250M",{"name":2331,"url":2273,"accessed":643},"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",[2335,2336,2337,2338,1240],"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":2343,"title":2344,"alternatives":2345,"api_compatible":2349,"body":2350,"category":583,"chinese_friendly":636,"cover":3250,"description":3251,"domestic":586,"extension":587,"faq":22,"free":586,"github":22,"languages":3252,"meta":3253,"models":3254,"navigation":605,"notSuitable":3259,"opensource":586,"path":3264,"pillar":607,"platforms":3265,"priceTable":3266,"pricing":3281,"published":3282,"relatedPlaybooks":22,"relatedReviews":22,"score":3283,"self_host":586,"seo":3284,"slug":3285,"sources":3286,"stem":3302,"suitable":3303,"tagline":3309,"tags":3310,"updated":643,"verdict":3316,"website":2735,"__hash__":3317},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[2322,2346,2347,2348],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":24,"value":2351,"toc":3230},[2352,2354,2392,2397,2400,2464,2467,2472,2480,2485,2492,2496,2504,2570,2575,2579,2586,2590,2598,2603,2620,2623,2626,2629,2636,2639,2645,2700,2706,2713,2718,2724,2728,2773,2776,2815,2818,2990,2995,3012,3017,3037,3040,3106,3108,3111,3128,3131,3152,3154,3204,3206,3223],[27,2353,30],{"id":29},[2355,2356,2361,2377],"div",{"className":2357},[2358,2359,2360],"card","p-5","my-4",[32,2362,2363,2366,2367,2370,2371,2376],{},[48,2364,2365],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[48,2368,2369],{},"邀请码一度被炒到 ¥5 万-10 万","（",[521,2372,2375],{"href":2373,"rel":2374},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[546],"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。",[32,2378,2379,2380,2370,2383,2387,2388,2391],{},"2025-12 传被 ",[48,2381,2382],{},"Meta 以约 20-30 亿美元收购",[521,2384,2386],{"href":2373,"rel":2385},[546],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[48,2389,2390],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[148,2393,2394],{},[32,2395,2396],{},"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。",[27,2398,2399],{"id":2399},"背景与公司",[42,2401,2402,2413,2419,2425,2431,2442,2452,2458],{},[45,2403,2404,2407,2408,2412],{},[48,2405,2406],{},"公司","：Butterfly Effect Pte. Ltd.（",[521,2409,2411],{"href":2373,"rel":2410},[546],"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）",[45,2414,2415,2418],{},[48,2416,2417],{},"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）",[45,2420,2421,2424],{},[48,2422,2423],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[45,2426,2427,2430],{},[48,2428,2429],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[45,2432,2433,2436,2437,2441],{},[48,2434,2435],{},"Manus 启动","：2024-10 立项，灵感来自 ",[521,2438,2440],{"href":2439},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[45,2443,2444,2447,2448],{},[48,2445,2446],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[521,2449,2451],{"href":2373,"rel":2450},[546],"Demo 视频 20 小时百万播放",[45,2453,2454,2457],{},[48,2455,2456],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[45,2459,2460,2463],{},[48,2461,2462],{},"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",[27,2465,2466],{"id":2466},"核心特性",[2468,2469,2471],"h3",{"id":2470},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[32,2473,2474,2479],{},[521,2475,2478],{"href":2476,"rel":2477},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[546],"Pick Right 2026-04 评测"," 描述的架构：",[148,2481,2482],{},[32,2483,2484],{},"\"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.\"",[32,2486,2487,2488,2491],{},"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 ",[48,2489,2490],{},"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。",[2468,2493,2495],{"id":2494},"通用-agent-模式","通用 Agent 模式",[32,2497,2498,2503],{},[521,2499,2502],{"href":2500,"rel":2501},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[546],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[250,2505,2506,2516],{},[253,2507,2508],{},[256,2509,2510,2513],{},[259,2511,2512],{},"模型",[259,2514,2515],{},"GAIA 准确率",[274,2517,2518,2530,2538,2546,2554,2562],{},[256,2519,2520,2525],{},[279,2521,2522],{},[48,2523,2524],{},"Manus AI",[279,2526,2527],{},[48,2528,2529],{},">65%（SOTA）",[256,2531,2532,2535],{},[279,2533,2534],{},"H2O.ai (h2oGPTe)",[279,2536,2537],{},"65%",[256,2539,2540,2543],{},[279,2541,2542],{},"Google Langfun",[279,2544,2545],{},"49%",[256,2547,2548,2551],{},[279,2549,2550],{},"Microsoft o1",[279,2552,2553],{},"38%",[256,2555,2556,2559],{},[279,2557,2558],{},"OpenAI GPT-4o",[279,2560,2561],{},"32%",[256,2563,2564,2567],{},[279,2565,2566],{},"OpenAI GPT-4 + Plugins",[279,2568,2569],{},"15-30%",[148,2571,2572],{},[32,2573,2574],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[2468,2576,2578],{"id":2577},"后台执行-长任务","后台执行 + 长任务",[32,2580,2581,2582,2585],{},"最特别的体验：任务下达后",[48,2583,2584],{},"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。",[2468,2587,2589],{"id":2588},"web-app-builder","Web App Builder",[32,2591,2592,2593,2597],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[521,2594,2596],{"href":2476,"rel":2595},[546],"Pick Right 评测"," 直白警告：",[148,2599,2600],{},[32,2601,2602],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[32,2604,2605,2606,2610,2611,2610,2615,2619],{},"复杂场景下出 bug 多，目前不建议生产部署，",[521,2607,2609],{"href":2608},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[521,2612,2614],{"href":2613},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[521,2616,2618],{"href":2617},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[2468,2621,2622],{"id":2622},"桌面应用",[32,2624,2625],{},"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。",[2468,2627,2628],{"id":2628},"多模型路由",[32,2630,2631,2632,2635],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[48,2633,2634],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[27,2637,2638],{"id":2638},"价格与运行成本",[32,2640,2641,2644],{},[521,2642,2596],{"href":2476,"rel":2643},[546]," 公开档位：",[250,2646,2647,2659],{},[253,2648,2649],{},[256,2650,2651,2654,2656],{},[259,2652,2653],{},"档位",[259,2655,120],{},[259,2657,2658],{},"关键点",[274,2660,2661,2670,2679,2689],{},[256,2662,2663,2665,2667],{},[279,2664,127],{},[279,2666,386],{},[279,2668,2669],{},"每日有限 credits，够 1 个高强度任务\u002F天",[256,2671,2672,2674,2676],{},[279,2673,1332],{},[279,2675,942],{},[279,2677,2678],{},"大多数付费用户落点；中等 credit + 多模型",[256,2680,2681,2683,2686],{},[279,2682,1888],{},[279,2684,2685],{},"$50\u002F月",[279,2687,2688],{},"更高 credit + 优先队列，10+ 任务\u002F周",[256,2690,2691,2694,2697],{},[279,2692,2693],{},"Pro+ \u002F Team",[279,2695,2696],{},"最高 $200\u002F月",[279,2698,2699],{},"最大 credit + 团队空间（功能仍有限）",[32,2701,2702,2705],{},[48,2703,2704],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[32,2707,2708,2712],{},[521,2709,2711],{"href":2476,"rel":2710},[546],"Pick Right 真实使用反馈","：",[148,2714,2715],{},[32,2716,2717],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[32,2719,2720,2723],{},[48,2721,2722],{},"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。",[27,2725,2727],{"id":2726},"上手-5-分钟","上手 5 分钟",[223,2729,2730,2738,2741,2758,2761,2767,2770],{},[45,2731,2732,2733],{},"打开 ",[521,2734,2737],{"href":2735,"rel":2736},"https:\u002F\u002Fmanus.im",[546],"manus.im",[45,2739,2740],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[45,2742,2743,2744,2747,2748],{},"给一个完整任务描述（",[48,2745,2746],{},"关键","：不要碎片化指令，给全场景）\n",[2749,2750,2755],"pre",{"className":2751,"code":2753,"language":2754},[2752],"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",[2756,2757,2753],"code",{"__ignoreMap":569},[45,2759,2760],{},"选模型路由（Auto 推荐）",[45,2762,2763,2764,2766],{},"提交后",[48,2765,2584],{},"——任务在云端跑",[45,2768,2769],{},"完成后邮件 \u002F 站内通知",[45,2771,2772],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[27,2774,2775],{"id":2775},"国内使用注意事项",[223,2777,2778,2788,2794,2800],{},[45,2779,2780,2712,2783,2787],{},[48,2781,2782],{},"大陆访问被屏蔽",[521,2784,2786],{"href":2373,"rel":2785},[546],"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",[45,2789,2790,2793],{},[48,2791,2792],{},"访问需稳定代理","：日韩 \u002F 美国节点",[45,2795,2796,2799],{},[48,2797,2798],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[45,2801,2802,2805,2806,2809,2810,2814],{},[48,2803,2804],{},"替代路径","：国内可考虑 ",[521,2807,1448],{"href":2808},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[521,2811,2813],{"href":2812},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[27,2816,2817],{"id":2817},"与同类怎么选",[250,2819,2820,2844],{},[253,2821,2822],{},[256,2823,2824,2826,2828,2834,2838,2841],{},[259,2825,261],{},[259,2827,2344],{},[259,2829,2830],{},[521,2831,2833],{"href":2832},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[259,2835,2836],{},[521,2837,1448],{"href":2808},[259,2839,2840],{},"ChatGPT Deep Research",[259,2842,2843],{},"GenAgent",[274,2845,2846,2865,2885,2904,2919,2935,2952,2970],{},[256,2847,2848,2851,2854,2857,2860,2863],{},[279,2849,2850],{},"核心定位",[279,2852,2853],{},"通用 Agent",[279,2855,2856],{},"AI 程序员",[279,2858,2859],{},"AI 搜索 + Agent",[279,2861,2862],{},"LLM Deep Research",[279,2864,1565],{},[256,2866,2867,2870,2873,2876,2879,2882],{},[279,2868,2869],{},"架构",[279,2871,2872],{},"多 sub-agent 并行",[279,2874,2875],{},"单 Agent + 沙盒",[279,2877,2878],{},"多模型",[279,2880,2881],{},"单模型",[279,2883,2884],{},"—",[256,2886,2887,2890,2893,2896,2899,2902],{},[279,2888,2889],{},"长任务",[279,2891,2892],{},"★★★★★ 小时级",[279,2894,2895],{},"★★★★★",[279,2897,2898],{},"★★★☆☆",[279,2900,2901],{},"★★★★☆",[279,2903,2898],{},[256,2905,2906,2909,2911,2913,2915,2917],{},[279,2907,2908],{},"引用密度",[279,2910,2895],{},[279,2912,2898],{},[279,2914,2901],{},[279,2916,2898],{},[279,2918,2898],{},[256,2920,2921,2924,2927,2929,2931,2933],{},[279,2922,2923],{},"App Builder",[279,2925,2926],{},"⚠️ 有但 buggy",[279,2928,317],{},[279,2930,317],{},[279,2932,317],{},[279,2934,317],{},[256,2936,2937,2940,2943,2946,2948,2950],{},[279,2938,2939],{},"中文",[279,2941,2942],{},"⚠️ 大陆屏蔽",[279,2944,2945],{},"⚠️",[279,2947,2895],{},[279,2949,2945],{},[279,2951,2901],{},[256,2953,2954,2956,2959,2962,2965,2968],{},[279,2955,120],{},[279,2957,2958],{},"$20-$200",[279,2960,2961],{},"$500\u002F月",[279,2963,2964],{},"$24.99\u002F月",[279,2966,2967],{},"随 ChatGPT Plus",[279,2969,2884],{},[256,2971,2972,2975,2978,2981,2984,2987],{},[279,2973,2974],{},"适合场景",[279,2976,2977],{},"research \u002F 数据分析",[279,2979,2980],{},"写代码 \u002F 修 bug",[279,2982,2983],{},"信息检索",[279,2985,2986],{},"单次深度研究",[279,2988,2989],{},"综合",[32,2991,2992,2712],{},[48,2993,2994],{},"选 Manus 如果你",[42,2996,2997,3003,3006,3009],{},[45,2998,2999,3000],{},"重视 research \u002F 数据分析任务的 ",[48,3001,3002],{},"引用密度和结构化输出",[45,3004,3005],{},"想试\"开任务下班、明早看结果\"的工作流",[45,3007,3008],{},"海外 \u002F 能解决账号网络问题",[45,3010,3011],{},"预算 $20-$50\u002F月，重度用户",[32,3013,3014,2712],{},[48,3015,3016],{},"别选 Manus 如果你",[42,3018,3019,3028,3031,3034],{},[45,3020,3021,3022,2610,3024,3027],{},"国内裸用（",[521,3023,1448],{"href":2808},[521,3025,3026],{"href":2812},"Yuanbao"," 更顺）",[45,3029,3030],{},"想生产部署 App（Web App Builder bug 多）",[45,3032,3033],{},"团队协作场景（功能不完善）",[45,3035,3036],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[27,3038,3039],{"id":3039},"避坑清单",[42,3041,3042,3048,3058,3064,3070,3082,3088,3094],{},[45,3043,3044,3047],{},[48,3045,3046],{},"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",[45,3049,3050,2712,3053,3057],{},[48,3051,3052],{},"credit 烧得比官方页面暗示的快",[521,3054,3056],{"href":2476,"rel":3055},[546],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[45,3059,3060,3063],{},[48,3061,3062],{},"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",[45,3065,3066,3069],{},[48,3067,3068],{},"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",[45,3071,3072,3075,3076,3081],{},[48,3073,3074],{},"每次任务从零开始","：没有持久 workspace，不像 ",[521,3077,3080],{"href":3078,"rel":3079},"https:\u002F\u002Fclaude.com",[546],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[45,3083,3084,3087],{},[48,3085,3086],{},"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",[45,3089,3090,3093],{},[48,3091,3092],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[45,3095,3096,3099,3100,3105],{},[48,3097,3098],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[521,3101,3104],{"href":3102,"rel":3103},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[546],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[27,3107,486],{"id":485},[32,3109,3110],{},"✅ 适合：",[42,3112,3113,3116,3119,3122,3125],{},[45,3114,3115],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[45,3117,3118],{},"CSV \u002F Excel 重的数据分析任务",[45,3120,3121],{},"长任务 + 不想盯着看（小时级）",[45,3123,3124],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[45,3126,3127],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[32,3129,3130],{},"❌ 不适合：",[42,3132,3133,3136,3139,3142,3145],{},[45,3134,3135],{},"生产级应用部署",[45,3137,3138],{},"团队协作工作流",[45,3140,3141],{},"预算极敏感（free 档非常受限）",[45,3143,3144],{},"大陆稳定访问需求",[45,3146,3147,3148,3151],{},"需要深度持久上下文（用 ",[521,3149,3080],{"href":3078,"rel":3150},[546]," \u002F ChatGPT Custom GPT 等）",[27,3153,515],{"id":515},[42,3155,3156,3167,3178,3193],{},[45,3157,3158,3159,2610,3161,3163,3164,3166],{},"同类对比：",[521,3160,2833],{"href":2832},[521,3162,1448],{"href":2808}," \u002F Elicit \u002F ",[521,3165,3026],{"href":2812}," \u002F Metaso",[45,3168,3169,3170,2610,3174,3177],{},"概念：",[521,3171,3173],{"href":3172},"\u002Fwiki\u002Fai-agent.html","AI Agent",[521,3175,3176],{"href":3172},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[45,3179,3180,3181,2610,3185,2610,3189],{},"模型：",[521,3182,3184],{"href":3183},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[521,3186,3188],{"href":3187},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[521,3190,3192],{"href":3191},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[45,3194,3195,3196,2610,3200],{},"进阶：",[521,3197,3199],{"href":3198},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[521,3201,3203],{"href":3202},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[27,3205,536],{"id":536},[42,3207,3208,3214,3217,3220],{},[45,3209,3210,3211],{},"官网：",[521,3212,2735],{"href":2735,"rel":3213},[546],[45,3215,3216],{},"Wikipedia：\"Manus (AI agent)\" 条目",[45,3218,3219],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[45,3221,3222],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[32,3224,3225,3226,3229],{},"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 ",[521,3227,3228],{"href":3228},"\u002Fsubmit"," 反馈。",{"title":569,"searchDepth":570,"depth":570,"links":3231},[3232,3233,3234,3242,3243,3244,3245,3246,3247,3248,3249],{"id":29,"depth":573,"text":30},{"id":2399,"depth":573,"text":2399},{"id":2466,"depth":573,"text":2466,"children":3235},[3236,3237,3238,3239,3240,3241],{"id":2470,"depth":570,"text":2471},{"id":2494,"depth":570,"text":2495},{"id":2577,"depth":570,"text":2578},{"id":2588,"depth":570,"text":2589},{"id":2622,"depth":570,"text":2622},{"id":2628,"depth":570,"text":2628},{"id":2638,"depth":573,"text":2638},{"id":2726,"depth":573,"text":2727},{"id":2775,"depth":573,"text":2775},{"id":2817,"depth":573,"text":2817},{"id":3039,"depth":573,"text":3039},{"id":485,"depth":573,"text":486},{"id":515,"depth":573,"text":515},{"id":536,"depth":573,"text":536},"\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。",[1738,602],{},[3255,3256,3257,3258],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[3260,3261,3262,3263],"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",[612,610,609,611],[3267,3270,3274,3277],{"plan":127,"price":386,"limit":3268,"cn_pay":2884,"note":3269},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1332,"price":942,"limit":3271,"cn_pay":3272,"note":3273},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":1888,"price":2685,"limit":3275,"cn_pay":2945,"note":3276},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":3278,"price":2125,"limit":3279,"cn_pay":2945,"note":3280},"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 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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（",[2756,3767,3768],{},"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。",[32,3771,3772],{},"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）。",[27,3774,40],{"id":40},[42,3776,3777,3785,3791,3797,3803,3809,3815,3821,3827,3833,3839,3845],{},[45,3778,3779,2712,3782,3784],{},[48,3780,3781],{},"多 agent orchestration",[2756,3783,3768],{}," 编排多个专门 agent 协作",[45,3786,3787,3790],{},[48,3788,3789],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[45,3792,3793,3796],{},[48,3794,3795],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F 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key\n",[3944,4049,4050],{"class":3946,"line":7},[3944,4051,4025],{"emptyLinePlaceholder":605},[3944,4053,4055],{"class":3946,"line":4054},11,[3944,4056,4057],{"class":3994},"# 单 agent 模式\n",[3944,4059,4061,4064],{"class":3946,"line":4060},12,[3944,4062,4063],{"class":3950},"python",[3944,4065,4066],{"class":3954}," main.py\n",[3944,4068,4070],{"class":3946,"line":4069},13,[3944,4071,4025],{"emptyLinePlaceholder":605},[3944,4073,4075],{"class":3946,"line":4074},14,[3944,4076,4077],{"class":3994},"# 多 agent 模式\n",[3944,4079,4081,4083],{"class":3946,"line":4080},15,[3944,4082,4063],{"class":3950},[3944,4084,4085],{"class":3954}," run_flow.py\n",[32,4087,4088],{},"试任务示例：",[2749,4090,4093],{"className":4091,"code":4092,"language":2754},[2752],"> 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",[2756,4094,4092],{"__ignoreMap":569},[27,4096,248],{"id":248},[250,4098,4099,4116],{},[253,4100,4101],{},[256,4102,4103,4105,4107,4110,4113],{},[259,4104,261],{},[259,4106,3748],{},[259,4108,4109],{},"LangChain",[259,4111,4112],{},"AutoGPT",[259,4114,4115],{},"CrewAI",[274,4117,4118,4134,4148,4160,4175,4188,4202,4216,4233,4246],{},[256,4119,4120,4122,4125,4128,4131],{},[279,4121,1461],{},[279,4123,4124],{},"现成 agent 实现",[279,4126,4127],{},"building blocks",[279,4129,4130],{},"早期通用 agent",[279,4132,4133],{},"多 agent 框架",[256,4135,4136,4139,4142,4144,4146],{},[279,4137,4138],{},"浏览器自动化",[279,4140,4141],{},"✅ Playwright",[279,4143,336],{},[279,4145,322],{},[279,4147,336],{},[256,4149,4150,4152,4154,4156,4158],{},[279,4151,964],{},[279,4153,290],{},[279,4155,322],{},[279,4157,336],{},[279,4159,336],{},[256,4161,4162,4165,4168,4171,4173],{},[279,4163,4164],{},"多 agent",[279,4166,4167],{},"✅ orchestration",[279,4169,4170],{},"需自搭",[279,4172,317],{},[279,4174,329],{},[256,4176,4177,4180,4182,4184,4186],{},[279,4178,4179],{},"DataAnalysis 内置",[279,4181,290],{},[279,4183,336],{},[279,4185,336],{},[279,4187,336],{},[256,4189,4190,4193,4196,4198,4200],{},[279,4191,4192],{},"RL 微调",[279,4194,4195],{},"✅ OpenManus-RL",[279,4197,336],{},[279,4199,336],{},[279,4201,336],{},[256,4203,4204,4207,4210,4212,4214],{},[279,4205,4206],{},"协议",[279,4208,4209],{},"MIT",[279,4211,4209],{},[279,4213,4209],{},[279,4215,4209],{},[256,4217,4218,4221,4224,4227,4230],{},[279,4219,4220],{},"Stars",[279,4222,4223],{},"52k+",[279,4225,4226],{},"100k+",[279,4228,4229],{},"170k+",[279,4231,4232],{},"30k+",[256,4234,4235,4237,4239,4242,4244],{},[279,4236,221],{},[279,4238,2091],{},[279,4240,4241],{},"难",[279,4243,2091],{},[279,4245,2091],{},[256,4247,4248,4250,4253,4256,4259],{},[279,4249,411],{},[279,4251,4252],{},"自托管 Manus 复刻",[279,4254,4255],{},"底层 framework",[279,4257,4258],{},"学习经典",[279,4260,4261],{},"多 agent 协作",[27,4263,426],{"id":426},[42,4265,4266,4272,4282,4288,4294,4300,4306,4312,4316],{},[45,4267,4268,4271],{},[48,4269,4270],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[45,4273,4274,4277,4278,4281],{},[48,4275,4276],{},"Playwright 依赖大","：首次 ",[2756,4279,4280],{},"playwright install"," 下 chromium 慢，国内走镜像",[45,4283,4284,4287],{},[48,4285,4286],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[45,4289,4290,4293],{},[48,4291,4292],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[45,4295,4296,4299],{},[48,4297,4298],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[45,4301,4302,4305],{},[48,4303,4304],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[45,4307,4308,4311],{},[48,4309,4310],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[45,4313,4314,1087],{},[48,4315,481],{},[45,4317,4318,4321],{},[48,4319,4320],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[27,4323,486],{"id":485},[42,4325,4326,4329,4332,4335,4338,4341,4344,4347],{},[45,4327,4328],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[45,4330,4331],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[45,4333,4334],{},"✅ 隐私敏感 + 不愿数据上商业云",[45,4336,4337],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[45,4339,4340],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[45,4342,4343],{},"❌ 要 GUI \u002F 上手即用",[45,4345,4346],{},"❌ 生产级稳定（文档滞后 + 演进快）",[45,4348,4349],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[27,4351,515],{"id":515},[42,4353,4354,4359,4364],{},[45,4355,4356],{},[521,4357,4358],{"href":3752},"Langflow 评测",[45,4360,4361],{},[521,4362,4363],{"href":3755},"n8n 评测",[45,4365,4366],{},[521,4367,4368],{"href":3758},"Composio 评测",[27,4370,536],{"id":536},[223,4372,4373,4380,4387,4394],{},[45,4374,4375,4376],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[521,4377,4378],{"href":4378,"rel":4379},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[546],[45,4381,4382,4383],{},"Foundation Agents — OpenManus 项目介绍 ",[521,4384,4385],{"href":4385,"rel":4386},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[546],[45,4388,4389,4390],{},"Toolsverse — OpenManus 评测 + 52k stars ",[521,4391,4392],{"href":4392,"rel":4393},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[546],[45,4395,4396,4397],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[521,4398,4399],{"href":4399,"rel":4400},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[546],[4402,4403,4404],"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":569,"searchDepth":570,"depth":570,"links":4406},[4407,4408,4409,4410,4411,4412,4413,4414,4415,4416],{"id":29,"depth":573,"text":30},{"id":40,"depth":573,"text":40},{"id":120,"depth":573,"text":120},{"id":3872,"depth":573,"text":3873},{"id":221,"depth":573,"text":221},{"id":248,"depth":573,"text":248},{"id":426,"depth":573,"text":426},{"id":485,"depth":573,"text":486},{"id":515,"depth":573,"text":515},{"id":536,"depth":573,"text":536},"\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。",[4420,4423,4426,4429],{"q":4421,"a":4422},"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":4424,"a":4425},"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":4427,"a":4428},"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":4430,"a":4431},"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。",[602,1738,603],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[611,609,610,4436],"docker",[4438],{"plan":3859,"price":386,"features":4439,"notes":4440},"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）",[4443],{"name":4444,"url":4445},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":637,"ux":570,"price":637,"cn_support":636,"stability":570},{"title":3748,"description":4418},"agent\u002Fgeneral\u002Fopenmanus",[4450,4452,4454,4456],{"name":4451,"url":4378,"accessed":643},"OpenManus GitHub（FoundationAgents 组织）",{"name":4453,"url":4385,"accessed":643},"Foundation Agents — OpenManus 项目介绍",{"name":4455,"url":4392,"accessed":643},"Toolsverse — OpenManus 评测 + 52k stars",{"name":4457,"url":4399,"accessed":643},"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",[4461,2336,4462,4463,4464,4465],"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",[],1782316490370]