[{"data":1,"prerenderedAt":7194},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fgeneral\u002Fhermes-agent":9,"tool-stats-agent\u002Fgeneral\u002Fhermes-agent":826,"cat-rank-agent-general":828,"tool-related-agent\u002Fgeneral\u002Fhermes-agent":5284,"tool-alts-agent\u002Fgeneral\u002Fhermes-agent":5285,"tool-reviews-agent\u002Fgeneral\u002Fhermes-agent":7193},{"tools":4,"reviews":5},77,25,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,13,{"id":10,"title":11,"alternatives":12,"api_compatible":16,"body":20,"category":747,"chinese_friendly":350,"cover":748,"description":749,"domestic":750,"extension":751,"faq":752,"free":750,"github":753,"languages":754,"meta":756,"models":757,"navigation":762,"notSuitable":763,"opensource":762,"path":768,"pillar":769,"platforms":770,"priceTable":774,"pricing":787,"published":788,"relatedPlaybooks":752,"relatedReviews":752,"score":789,"self_host":762,"seo":790,"seoTitle":791,"slug":792,"sources":793,"stem":808,"suitable":809,"tagline":815,"tags":816,"updated":788,"verdict":824,"website":753,"__hash__":825},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent.md","Hermes Agent",[13,14,15],"agent\u002Fgeneral\u002Fmanus","agent\u002Fgeneral\u002Fopenmanus","agent\u002Fdesktop\u002Fopenclaw",[17,18,19],"openai","anthropic","local",{"type":21,"value":22,"toc":725},"minimark",[23,27,36,42,52,56,61,68,96,103,107,114,128,131,135,141,228,234,237,240,246,264,267,270,273,293,296,299,302,316,319,322,404,419,422,428,443,446,449,475,478,532,538,541,651,655,661,667,673,679,685,688,721],[24,25,26],"h2",{"id":26},"一句话结论",[28,29,30,31,35],"p",{},"如果你想要一个",[32,33,34],"strong",{},"完全开源、能自我进化、有长期记忆、可以部署在十几个消息平台上的 AI Agent","——Hermes Agent 在 2026 年是最成熟的选择。GitHub 10 万 Star，2 月开源到 5 月就翻了一倍。",[28,37,38,39],{},"但它的门槛比 Manus 高一个量级：没有漂亮的 Web 界面，需要自己装 Python 环境、配置 LLM API、管理记忆数据库。",[32,40,41],{},"它面向的是\"想拥有自己 Agent 基础设施\"的极客，不是\"想要一个好用 AI 助手\"的普通用户。",[43,44,46],"callout",{"type":45},"info",[28,47,48,51],{},[32,49,50],{},"定位区分","：Manus 是\"帮你干完事的云端 Agent\"，OpenClaw 是\"常驻你电脑的 AI 操作系统\"，Hermes Agent 是\"你能完全掌控和改造的自进化 Agent\"。三者目标不同，选型看你需要的是\"用\"还是\"拥有\"。",[24,53,55],{"id":54},"hermes-agent-解决的核心问题","Hermes Agent 解决的核心问题",[57,58,60],"h3",{"id":59},"问题-1agent-没有长期记忆","问题 1：Agent 没有\"长期记忆\"",[28,62,63,64,67],{},"大多数 AI Agent 的记忆只有当前会话的上下文窗口。你昨天让它做的事、偏好、上下文，今天全忘了。Hermes Agent 内置了",[32,65,66],{},"分层记忆系统","：",[69,70,71,78,84,90],"ul",{},[72,73,74,77],"li",{},[32,75,76],{},"工作记忆","：当前会话上下文，类似人类短期记忆",[72,79,80,83],{},[32,81,82],{},"情景记忆","：记录每次交互的时间、事件、结果，支持按时间线回溯",[72,85,86,89],{},[32,87,88],{},"语义记忆","：从交互中抽取知识（你告诉它的偏好、事实、规则），长期保存",[72,91,92,95],{},[32,93,94],{},"技能记忆","：Agent 自动总结\"怎么做某件事\"的步骤，下次直接调用",[28,97,98,99,102],{},"这意味着 Hermes Agent 是",[32,100,101],{},"越用越好用","的——它会记住你的工作习惯、项目上下文、你纠正过的错误。",[57,104,106],{"id":105},"问题-2单个模型能力有天花板","问题 2：单个模型能力有天花板",[28,108,109,110,113],{},"2026 年 6 月，Nous Research 给 Hermes Agent 加了 ",[32,111,112],{},"MoA（Mixture of Agents）"," 功能：",[69,115,116,119,122,125],{},[72,117,118],{},"多个 Agent 实例并行处理同一个任务",[72,120,121],{},"每个 Agent 可以用不同模型（Claude \u002F GPT \u002F Hermes \u002F 本地模型）",[72,123,124],{},"结果由一个\"聚合 Agent\"合并去重、交叉验证",[72,126,127],{},"最终输出质量 > 任何单个模型",[28,129,130],{},"实际效果：用 3 个中档模型做 MoA，输出质量可以接近 1 个顶级模型，但成本只有 1\u002F3。",[57,132,134],{"id":133},"问题-3agent-只能在一个地方用","问题 3：Agent 只能在一个地方用",[28,136,137,138,67],{},"Hermes Agent 支持 ",[32,139,140],{},"14 个消息渠道",[142,143,144,157],"table",{},[145,146,147],"thead",{},[148,149,150,154],"tr",{},[151,152,153],"th",{},"平台",[151,155,156],{},"状态",[158,159,160,169,177,184,191,198,205,212,220],"tbody",{},[148,161,162,166],{},[163,164,165],"td",{},"Telegram",[163,167,168],{},"✅ 推荐，最稳定",[148,170,171,174],{},[163,172,173],{},"Discord",[163,175,176],{},"✅",[148,178,179,182],{},[163,180,181],{},"Slack",[163,183,176],{},[148,185,186,189],{},[163,187,188],{},"WhatsApp",[163,190,176],{},[148,192,193,196],{},[163,194,195],{},"Signal",[163,197,176],{},[148,199,200,203],{},[163,201,202],{},"Email",[163,204,176],{},[148,206,207,210],{},[163,208,209],{},"CLI（终端）",[163,211,176],{},[148,213,214,217],{},[163,215,216],{},"Web UI",[163,218,219],{},"✅ 基础版",[148,221,222,225],{},[163,223,224],{},"微信",[163,226,227],{},"⚠️ 非官方，不稳定",[28,229,230,231],{},"你可以在 Telegram 上给它发消息让它做事，结果推送到 Discord；或者在 CLI 里开发时让它监听 Git 提交自动跑测试。",[32,232,233],{},"一个 Agent 实例，多个入口。",[24,235,236],{"id":236},"核心能力",[57,238,239],{"id":239},"自我进化",[28,241,242,243,67],{},"Hermes Agent 最独特的能力是 ",[32,244,245],{},"Profile 系统",[69,247,248,251,254,261],{},[72,249,250],{},"每个 Profile 是一个\"人格 + 技能包\"的组合",[72,252,253],{},"你可以创建多个 Profile（如\"代码助手\"、\"研究助手\"、\"项目经理\"）",[72,255,256,257,260],{},"Agent 在执行任务后会",[32,258,259],{},"自动总结经验","，更新 Profile 的技能库",[72,262,263],{},"下次遇到类似任务，直接调用已有技能，不用从零开始",[28,265,266],{},"这意味着 Hermes Agent 不是\"每次都从零开始的 ChatBot\"，而是\"会积累经验的数字员工\"。",[57,268,269],{"id":269},"工具调用",[28,271,272],{},"Hermes Agent 支持自定义工具（function calling）：",[69,274,275,278,281,284,287,290],{},[72,276,277],{},"搜索引擎（Google \u002F Bing \u002F SearXNG）",[72,279,280],{},"代码执行（Python sandbox）",[72,282,283],{},"文件读写",[72,285,286],{},"Web 浏览（Playwright）",[72,288,289],{},"自定义 API 调用",[72,291,292],{},"数据库查询",[28,294,295],{},"工具配置是 JSON 格式，添加新工具只需写一个 function 定义。",[57,297,298],{"id":298},"记忆管理",[28,300,301],{},"记忆系统基于向量数据库（默认 ChromaDB）：",[69,303,304,307,310,313],{},[72,305,306],{},"自动从对话中提取关键信息存入语义记忆",[72,308,309],{},"支持手动\"forget\"删除特定记忆",[72,311,312],{},"记忆有 TTL（过期时间），避免无限膨胀",[72,314,315],{},"支持记忆导出\u002F导入（JSON 格式），方便迁移",[24,317,318],{"id":318},"使用体验",[57,320,321],{"id":321},"安装部署",[323,324,329],"pre",{"className":325,"code":326,"language":327,"meta":328,"style":328},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\ncd hermes-agent\npip install -r requirements.txt\ncp .env.example .env\n# 配置 LLM API key、消息平台 token\npython -m hermes.agent\n","bash","",[330,331,332,348,358,373,385,392],"code",{"__ignoreMap":328},[333,334,337,341,345],"span",{"class":335,"line":336},"line",1,[333,338,340],{"class":339},"sScJk","git",[333,342,344],{"class":343},"sZZnC"," clone",[333,346,347],{"class":343}," https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\n",[333,349,351,355],{"class":335,"line":350},2,[333,352,354],{"class":353},"sj4cs","cd",[333,356,357],{"class":343}," hermes-agent\n",[333,359,361,364,367,370],{"class":335,"line":360},3,[333,362,363],{"class":339},"pip",[333,365,366],{"class":343}," install",[333,368,369],{"class":353}," -r",[333,371,372],{"class":343}," requirements.txt\n",[333,374,376,379,382],{"class":335,"line":375},4,[333,377,378],{"class":339},"cp",[333,380,381],{"class":343}," .env.example",[333,383,384],{"class":343}," .env\n",[333,386,388],{"class":335,"line":387},5,[333,389,391],{"class":390},"sJ8bj","# 配置 LLM API key、消息平台 token\n",[333,393,395,398,401],{"class":335,"line":394},6,[333,396,397],{"class":339},"python",[333,399,400],{"class":353}," -m",[333,402,403],{"class":343}," hermes.agent\n",[28,405,406,407,410,411,414,415,418],{},"部署需要 ",[32,408,409],{},"Python 3.11+","、",[32,412,413],{},"至少 8GB RAM","（跑本地模型需要更多）、",[32,416,417],{},"向量数据库","（默认 ChromaDB，可选 Qdrant）。",[57,420,421],{"id":421},"日常使用",[28,423,424,425,67],{},"最顺的使用方式是 ",[32,426,427],{},"Telegram + Claude API",[429,430,431,434,437,440],"ol",{},[72,432,433],{},"在 Telegram 上给 Agent 发消息",[72,435,436],{},"Agent 读取记忆、规划任务、调用工具",[72,438,439],{},"执行过程中实时推送进度",[72,441,442],{},"完成后推送结果 + 自动更新记忆",[28,444,445],{},"体感类似\"有一个 7×24 小时在线的助手\"，但它不是即问即答——复杂任务可能需要 2-5 分钟。",[57,447,448],{"id":448},"短板",[69,450,451,457,463,469],{},[72,452,453,456],{},[32,454,455],{},"文档偏英文","：几乎没有中文文档，国内用户上手门槛高",[72,458,459,462],{},[32,460,461],{},"稳定性","：项目迭代极快（每周多个 commit），偶尔有 breaking change",[72,464,465,468],{},[32,466,467],{},"资源消耗","：记忆系统 + 多 Agent 会占用较多内存和 API token",[72,470,471,474],{},[32,472,473],{},"UI 简陋","：Web UI 只是基础版，不如 Manus \u002F OpenClaw 精致",[24,476,477],{"id":477},"价格",[142,479,480,490],{},[145,481,482],{},[148,483,484,487],{},[151,485,486],{},"项目",[151,488,489],{},"成本",[158,491,492,500,508,516,524],{},[148,493,494,497],{},[163,495,496],{},"Hermes Agent 本体",[163,498,499],{},"免费（开源）",[148,501,502,505],{},[163,503,504],{},"LLM API",[163,506,507],{},"BYOK，用 Claude\u002FGPT 按各自 API 计费",[148,509,510,513],{},[163,511,512],{},"本地模型",[163,514,515],{},"免费但需要 GPU（70B 模型需 ~48GB VRAM）",[148,517,518,521],{},[163,519,520],{},"服务器",[163,522,523],{},"自托管需要一台 VPS（推荐 4 核 16GB 起步）",[148,525,526,529],{},[163,527,528],{},"消息平台",[163,530,531],{},"Telegram\u002FDiscord 等均免费",[28,533,534,537],{},[32,535,536],{},"最低成本","：一台 $5\u002F月 VPS + Claude API 按量付费 ≈ $10-20\u002F月可跑日常任务。",[24,539,540],{"id":540},"与同类对比",[142,542,543,558],{},[145,544,545],{},[148,546,547,550,552,555],{},[151,548,549],{},"维度",[151,551,11],{},[151,553,554],{},"Manus",[151,556,557],{},"OpenClaw",[158,559,560,572,584,597,611,625,637],{},[148,561,562,565,567,570],{},[163,563,564],{},"开源",[163,566,176],{},[163,568,569],{},"❌",[163,571,176],{},[148,573,574,576,579,581],{},[163,575,239],{},[163,577,578],{},"✅ Profile 系统",[163,580,569],{},[163,582,583],{},"⚠️ 有限",[148,585,586,589,592,595],{},[163,587,588],{},"长期记忆",[163,590,591],{},"✅ 分层记忆",[163,593,594],{},"❌ 单会话",[163,596,176],{},[148,598,599,602,605,608],{},[163,600,601],{},"跨平台部署",[163,603,604],{},"✅ 14 渠道",[163,606,607],{},"❌ Web only",[163,609,610],{},"⚠️ 桌面+CLI",[148,612,613,616,619,622],{},[163,614,615],{},"上手难度",[163,617,618],{},"★★★★☆",[163,620,621],{},"★☆☆☆☆",[163,623,624],{},"★★★☆☆",[148,626,627,630,633,635],{},[163,628,629],{},"中文体验",[163,631,632],{},"★★☆☆☆",[163,634,618],{},[163,636,624],{},[148,638,639,642,645,648],{},[163,640,641],{},"适合人群",[163,643,644],{},"极客\u002F研究者",[163,646,647],{},"普通用户",[163,649,650],{},"开发者",[24,652,654],{"id":653},"faq","FAQ",[28,656,657,660],{},[32,658,659],{},"Q：Hermes Agent 能用中文交互吗？","\n能，但体验一般。Hermes 4 模型的中文能力不如 Claude\u002FGPT，且文档和社区以英文为主。建议用 Claude\u002FGPT 作为后端模型，中文交互质量会好很多。",[28,662,663,666],{},[32,664,665],{},"Q：和 OpenManus 有什么区别？","\nOpenManus 是 Manus 的开源复刻版，定位是\"通用 Agent 执行器\"。Hermes Agent 更侧重\"长期陪伴+自我进化+多平台部署\"。OpenManus 更轻量，Hermes 功能更全但更重。",[28,668,669,672],{},[32,670,671],{},"Q：需要什么硬件？","\n纯 API 模式（用 Claude\u002FGPT）只需一台普通 VPS。跑本地 Hermes 4 70B 需要 ~48GB VRAM，405B 需要 ~240GB VRAM（多卡服务器）。",[28,674,675,678],{},[32,676,677],{},"Q：记忆数据存在哪？","\n默认存在本地 ChromaDB（SQLite + 向量索引）。可以配置为 Qdrant、Weaviate 等远程向量数据库。数据完全自主，不会上传到任何第三方。",[28,680,681,684],{},[32,682,683],{},"Q：能同时跑多个 Profile 吗？","\n可以。每个 Profile 是独立的记忆+技能库，可以并行运行。比如同时让\"代码助手\"Profile 审查代码、\"研究助手\"Profile 做市场调研。",[24,686,687],{"id":687},"相关阅读",[69,689,690,697,703,709,715],{},[72,691,692],{},[693,694,696],"a",{"href":695},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡",[72,698,699],{},[693,700,702],{"href":701},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus 工具卡",[72,704,705],{},[693,706,708],{"href":707},"\u002Fagent\u002Fdesktop\u002Fopenclaw.html","OpenClaw 工具卡",[72,710,711],{},[693,712,714],{"href":713},"\u002Freview\u002Fmanus-deep-review.html","Manus 深度评测",[72,716,717],{},[693,718,720],{"href":719},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark 对比",[722,723,724],"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 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var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":328,"searchDepth":360,"depth":360,"links":726},[727,728,733,738,743,744,745,746],{"id":26,"depth":350,"text":26},{"id":54,"depth":350,"text":55,"children":729},[730,731,732],{"id":59,"depth":360,"text":60},{"id":105,"depth":360,"text":106},{"id":133,"depth":360,"text":134},{"id":236,"depth":350,"text":236,"children":734},[735,736,737],{"id":239,"depth":360,"text":239},{"id":269,"depth":360,"text":269},{"id":298,"depth":360,"text":298},{"id":318,"depth":350,"text":318,"children":739},[740,741,742],{"id":321,"depth":360,"text":321},{"id":421,"depth":360,"text":421},{"id":448,"depth":360,"text":448},{"id":477,"depth":350,"text":477},{"id":540,"depth":350,"text":540},{"id":653,"depth":350,"text":654},{"id":687,"depth":350,"text":687},"general","\u002Fimg\u002Ftools\u002Fhermes-agent.webp","Hermes Agent 真实评测：Nous Research 出品的开源自进化 AI Agent，2026 年 2 月开源即获 10 万 GitHub Star。MoA 混合智能体架构、记忆系统、技能自动创建、跨平台部署（Telegram\u002FDiscord\u002FSlack\u002FWhatsApp\u002FCLI）。本文整理核心能力、使用体验、与 Manus\u002FOpenClaw 对比、适用场景。",false,"md",null,"https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent",[755],"en",{},[758,759,760,761],"hermes-4-405b","hermes-4-70b","claude-sonnet-4","gpt-5",true,[764,765,766,767],"需要中文为主交互的玩家（文档和界面均为英文）","不想折腾部署和配置的个人用户","需要生产级稳定性（项目仍在快速迭代）","预算有限且没有 GPU 服务器的用户","\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent","agent",[771,772,773],"linux","macos","windows",[775,781],{"plan":776,"price":777,"limit":778,"cn_pay":779,"note":780},"开源版","$0","完整功能，自托管","—","BYOK 模式",{"plan":782,"price":783,"limit":784,"cn_pay":785,"note":786},"API（Hermes 4）","按 token 计费","405B 模型按量付费","⚠️ 需海外卡","不想自托管时","免费（开源，BYOK）","2026-07-04",{"power":375,"ux":360,"price":387,"cn_support":350,"stability":360},{"title":11,"description":749},"Hermes Agent 评测 2026：Nous Research 开源自进化 AI Agent，10 万 Star","agent\u002Fgeneral\u002Fhermes-agent",[794,796,799,802,805],{"title":795,"url":753},"Hermes Agent GitHub",{"title":797,"url":798},"Nous Research 官网","https:\u002F\u002Fnousresearch.com",{"title":800,"url":801},"Hermes Agent 安装教程","https:\u002F\u002Fblog.csdn.net\u002Fyweng18\u002Farticle\u002Fdetails\u002F161148047",{"title":803,"url":804},"Hermes MoA 体验报告","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7657411078791365171\u002F",{"title":806,"url":807},"Hermes vs OpenCode 对比","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7645892543409816064\u002F","tools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[810,811,812,813,814],"需要自托管、数据完全自主的 AI Agent","对 Agent 自我进化 \u002F 记忆系统有研究兴趣","需要跨平台部署（Telegram \u002F Discord \u002F Slack 等多通道）","有 GPU 服务器可以跑 Hermes 4 模型","想要一个长期陪伴型个人 Agent","Nous Research 开源自进化 AI Agent，10 万 Star，MoA 混合智能体",[817,818,819,820,821,822,823],"general-agent","autonomous","opensource","self-evolving","memory","nous-research","moa","2026 最火开源 Agent。MoA 混合智能体+自我进化+记忆系统+跨平台部署，GitHub 10 万 Star。适合长期陪伴型任务和自托管 Agent 研究，但中文支持和文档偏弱。","0lx2VjzdTE5qaGjgq3K0uLi4Z5Ig0ux9Sc3BaipH3LY",{"ok":762,"slug":792,"viewCount":827,"clickCount":827,"avgRating":827,"ratingCount":827},0,[829,1414,1961,2515,3038,4005,4588],{"id":830,"title":831,"alternatives":832,"api_compatible":752,"body":835,"category":747,"chinese_friendly":360,"cover":1355,"description":1356,"domestic":750,"extension":751,"faq":1357,"free":750,"github":752,"languages":1370,"meta":1371,"models":752,"navigation":762,"notSuitable":752,"opensource":750,"path":1372,"pillar":769,"platforms":1373,"priceTable":1374,"pricing":1387,"published":1388,"relatedPlaybooks":1389,"relatedReviews":752,"score":1391,"self_host":750,"seo":1392,"seoTitle":752,"slug":1393,"sources":1394,"stem":1403,"suitable":752,"tagline":1404,"tags":1405,"updated":1396,"verdict":1411,"website":1412,"__hash__":1413},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[833,15,834],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fgeneral\u002Fflowith",{"type":21,"value":836,"toc":1343},[837,841,844,847,849,917,919,942,948,952,957,980,985,1011,1014,1037,1040,1198,1201,1257,1261,1287,1289,1309,1312],[24,838,840],{"id":839},"tldr","TL;DR",[28,842,843],{},"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。",[28,845,846],{},"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。",[24,848,236],{"id":236},[69,850,851,857,863,869,875,881,887,893,899,905,911],{},[72,852,853,856],{},[32,854,855],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[72,858,859,862],{},[32,860,861],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[72,864,865,868],{},[32,866,867],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[72,870,871,874],{},[32,872,873],{},"200+ Skills","：power user 社区贡献的能力包",[72,876,877,880],{},[32,878,879],{},"MCP 集成","：可调用 MCP server 工具",[72,882,883,886],{},[32,884,885],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[72,888,889,892],{},[32,890,891],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[72,894,895,898],{},[32,896,897],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[72,900,901,904],{},[32,902,903],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[72,906,907,910],{},[32,908,909],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[72,912,913,916],{},[32,914,915],{},"3 周免费试用","：体验完整再决策",[24,918,477],{"id":477},[69,920,921,927,933,939],{},[72,922,923,926],{},[32,924,925],{},"Free Trial","：3 周完整功能，无信用卡",[72,928,929,932],{},[32,930,931],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[72,934,935,938],{},[32,936,937],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[72,940,941],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[943,944,945],"blockquote",{},[28,946,947],{},"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。",[24,949,951],{"id":950},"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）",[28,953,954],{},[32,955,956],{},"亮点：",[69,958,959,962,965,968,971,974,977],{},[72,960,961],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[72,963,964],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[72,966,967],{},"50+ Assistants 节省 prompt engineering 时间",[72,969,970],{},"数据本地 + 无 telemetry，隐私党非常友好",[72,972,973],{},"一次买断 vs 多家月费的累计性价比高",[72,975,976],{},"BYO API 让账单透明，不会有平台抽成",[72,978,979],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[28,981,982],{},[32,983,984],{},"踩坑：",[69,986,987,990,993,996,999,1002,1005,1008],{},[72,988,989],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[72,991,992],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[72,994,995],{},"移动端缺失，出门用不上",[72,997,998],{},"Linux 版本更新偶尔比 macOS 慢",[72,1000,1001],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[72,1003,1004],{},"50+ Assistants 质量参差，要挑高赞的用",[72,1006,1007],{},"团队协作 \u002F 云同步不是产品重点",[72,1009,1010],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[24,1012,1013],{"id":1013},"上手",[429,1015,1016,1019,1022,1025,1028,1031,1034],{},[72,1017,1018],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[72,1020,1021],{},"启动 → 3 周免费试用激活",[72,1023,1024],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[72,1026,1027],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[72,1029,1030],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[72,1032,1033],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[72,1035,1036],{},"满意后选 Personal $59 \u002F Business $99 买断",[24,1038,1039],{"id":1039},"对比",[142,1041,1042,1059],{},[145,1043,1044],{},[148,1045,1046,1048,1050,1053,1056],{},[151,1047,549],{},[151,1049,831],{},[151,1051,1052],{},"Raycast AI",[151,1054,1055],{},"Claude Desktop",[151,1057,1058],{},"ChatGPT Desktop",[158,1060,1061,1077,1093,1109,1124,1139,1153,1168,1181],{},[148,1062,1063,1066,1069,1072,1075],{},[163,1064,1065],{},"全局 hotkey",[163,1067,1068],{},"✅ 顶级",[163,1070,1071],{},"✅ Raycast",[163,1073,1074],{},"弱",[163,1076,1074],{},[148,1078,1079,1082,1084,1087,1090],{},[163,1080,1081],{},"BYO API",[163,1083,176],{},[163,1085,1086],{},"❌ 内置",[163,1088,1089],{},"❌ Anthropic",[163,1091,1092],{},"❌ OpenAI",[148,1094,1095,1098,1101,1104,1107],{},[163,1096,1097],{},"一次买断",[163,1099,1100],{},"✅ $59-99",[163,1102,1103],{},"$10\u002F月",[163,1105,1106],{},"$20\u002F月",[163,1108,1106],{},[148,1110,1111,1114,1116,1118,1121],{},[163,1112,1113],{},"多模型一窗",[163,1115,176],{},[163,1117,176],{},[163,1119,1120],{},"Claude only",[163,1122,1123],{},"OpenAI only",[148,1125,1126,1129,1131,1134,1137],{},[163,1127,1128],{},"MCP",[163,1130,176],{},[163,1132,1133],{},"部分",[163,1135,1136],{},"✅ 旗舰",[163,1138,1133],{},[148,1140,1141,1143,1146,1149,1151],{},[163,1142,897],{},[163,1144,1145],{},"✅ 零云",[163,1147,1148],{},"–",[163,1150,1148],{},[163,1152,1148],{},[148,1154,1155,1157,1160,1163,1165],{},[163,1156,153],{},[163,1158,1159],{},"macOS\u002FWin\u002FLinux",[163,1161,1162],{},"macOS only",[163,1164,1159],{},[163,1166,1167],{},"macOS\u002FWin",[148,1169,1170,1173,1175,1177,1179],{},[163,1171,1172],{},"移动端",[163,1174,569],{},[163,1176,569],{},[163,1178,1148],{},[163,1180,176],{},[148,1182,1183,1186,1189,1192,1195],{},[163,1184,1185],{},"适合",[163,1187,1188],{},"全局 AI + 多模型 + 买断",[163,1190,1191],{},"Mac 启动器 + AI",[163,1193,1194],{},"MCP 生态",[163,1196,1197],{},"OpenAI 全家桶",[24,1199,1200],{"id":1200},"避坑",[69,1202,1203,1209,1215,1221,1227,1233,1239,1245,1251],{},[72,1204,1205,1208],{},[32,1206,1207],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[72,1210,1211,1214],{},[32,1212,1213],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[72,1216,1217,1220],{},[32,1218,1219],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[72,1222,1223,1226],{},[32,1224,1225],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[72,1228,1229,1232],{},[32,1230,1231],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[72,1234,1235,1238],{},[32,1236,1237],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[72,1240,1241,1244],{},[32,1242,1243],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[72,1246,1247,1250],{},[32,1248,1249],{},"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",[72,1252,1253,1256],{},[32,1254,1255],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[24,1258,1260],{"id":1259},"适合-不适合","适合 \u002F 不适合",[69,1262,1263,1266,1269,1272,1275,1278,1281,1284],{},[72,1264,1265],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[72,1267,1268],{},"✅ 多模型用户不想被单 vendor 锁定",[72,1270,1271],{},"✅ 隐私敏感 + 数据全本地",[72,1273,1274],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[72,1276,1277],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[72,1279,1280],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[72,1282,1283],{},"❌ 不想管理 API Key 的纯用户",[72,1285,1286],{},"❌ 中国大陆海外卡 + API 不可得",[24,1288,687],{"id":687},[69,1290,1291,1297,1303],{},[72,1292,1293],{},[693,1294,1296],{"href":1295},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[72,1298,1299],{},[693,1300,1302],{"href":1301},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw","OpenClaw 评测",[72,1304,1305],{},[693,1306,1308],{"href":1307},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","Flowith 评测",[24,1310,1311],{"id":1311},"来源",[429,1313,1314,1322,1329,1336],{},[72,1315,1316,1317],{},"Alice 官网（heyalice.app）",[693,1318,1319],{"href":1319,"rel":1320},"https:\u002F\u002Fheyalice.app\u002F",[1321],"nofollow",[72,1323,1324,1325],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[693,1326,1327],{"href":1327,"rel":1328},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[1321],[72,1330,1331,1332],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[693,1333,1334],{"href":1334,"rel":1335},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[1321],[72,1337,1338,1339],{},"Skywork — Alice AI Ultimate 2026 Guide ",[693,1340,1341],{"href":1341,"rel":1342},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[1321],{"title":328,"searchDepth":360,"depth":360,"links":1344},[1345,1346,1347,1348,1349,1350,1351,1352,1353,1354],{"id":839,"depth":350,"text":840},{"id":236,"depth":350,"text":236},{"id":477,"depth":350,"text":477},{"id":950,"depth":350,"text":951},{"id":1013,"depth":350,"text":1013},{"id":1039,"depth":350,"text":1039},{"id":1200,"depth":350,"text":1200},{"id":1259,"depth":350,"text":1260},{"id":687,"depth":350,"text":687},{"id":1311,"depth":350,"text":1311},"\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。",[1358,1361,1364,1367],{"q":1359,"a":1360},"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":1362,"a":1363},"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":1365,"a":1366},"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":1368,"a":1369},"中国大陆能用吗？","App 本身可下载 + 本地运行。海外信用卡买断 + 海外 LLM API Key 是门槛。OpenRouter 中转可接国产模型（智谱 \u002F DeepSeek \u002F Qwen），跑国内场景。隐私上数据全本地存储，无国外服务器同步。",[755],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",[772,773,771],[1375,1379,1383],{"plan":925,"price":1376,"features":1377,"notes":1378},"$0 · 3 周","完整功能体验","无信用卡",{"plan":931,"price":1380,"features":1381,"notes":1382},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":937,"price":1384,"features":1385,"notes":1386},"~$99 一次","Personal + 优先支持 + 商用授权 + 更新永久免费","商业 \u002F 团队","$59-99 一次买断 + 3 周免费试用 \u002F 自带 API Key 走 LLM 计费","2026-06-19",[1390],"onboarding\u002Fmacos-global-ai-workflow",{"power":375,"ux":387,"price":375,"cn_support":360,"stability":375},{"title":831,"description":1356},"agent\u002Fgeneral\u002Falice",[1395,1397,1399,1401],{"name":1316,"url":1319,"accessed":1396},"2026-06-24",{"name":1398,"url":1327,"accessed":1396},"Comparateur-IA — Alice AI Review 2026",{"name":1400,"url":1334,"accessed":1396},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1402,"url":1341,"accessed":1396},"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",[1406,1407,1408,1409,1410,772],"desktop-assistant","multi-model","byo-api","privacy","hotkey","桌面 AI 助手里最像 Raycast 的存在——全局快捷键 + 一次买断 + 自带 API。重度多模型用户 + macOS 党 + 隐私敏感首选。要团队协作 \u002F 云同步走 Claude Desktop \u002F ChatGPT Team。","https:\u002F\u002Fheyalice.app","q9S_-4CW8c2r9njt5K3cSq35uCVtbyDhhicGrmNsa_8",{"id":1415,"title":1416,"alternatives":1417,"api_compatible":752,"body":1419,"category":747,"chinese_friendly":375,"cover":1899,"description":1900,"domestic":750,"extension":751,"faq":1901,"free":750,"github":752,"languages":1914,"meta":1917,"models":752,"navigation":762,"notSuitable":752,"opensource":750,"path":1307,"pillar":769,"platforms":1918,"priceTable":1922,"pricing":1938,"published":1388,"relatedPlaybooks":1939,"relatedReviews":752,"score":1941,"self_host":750,"seo":1942,"seoTitle":752,"slug":834,"sources":1943,"stem":1952,"suitable":752,"tagline":1953,"tags":1954,"updated":1396,"verdict":1959,"website":1864,"__hash__":1960},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[1418,1393,833],"agent\u002Fgeneral\u002Fgenspark",{"type":21,"value":1420,"toc":1887},[1421,1423,1426,1429,1431,1493,1495,1521,1526,1530,1534,1557,1561,1587,1589,1609,1611,1745,1747,1808,1810,1836,1838,1855,1857],[24,1422,840],{"id":839},[28,1424,1425],{},"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。",[28,1427,1428],{},"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。",[24,1430,236],{"id":236},[69,1432,1433,1439,1445,1451,1457,1463,1469,1475,1481,1487],{},[72,1434,1435,1438],{},[32,1436,1437],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[72,1440,1441,1444],{},[32,1442,1443],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[72,1446,1447,1450],{},[32,1448,1449],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[72,1452,1453,1456],{},[32,1454,1455],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[72,1458,1459,1462],{},[32,1460,1461],{},"多线程并行","：同时跑多个 thread，画布一览",[72,1464,1465,1468],{},[32,1466,1467],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[72,1470,1471,1474],{},[32,1472,1473],{},"iOS App","：2026 上线，移动 workspace 访问",[72,1476,1477,1480],{},[32,1478,1479],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[72,1482,1483,1486],{},[32,1484,1485],{},"商业授权","：Pro+ 包含商业使用权",[72,1488,1489,1492],{},[32,1490,1491],{},"Web Control UI","：浏览器原生，多设备同步",[24,1494,477],{"id":477},[69,1496,1497,1503,1509,1515],{},[72,1498,1499,1502],{},[32,1500,1501],{},"Free","：$0；300 一次性 credits（试水级）",[72,1504,1505,1508],{},[32,1506,1507],{},"Pro","：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[72,1510,1511,1514],{},[32,1512,1513],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[72,1516,1517,1520],{},[32,1518,1519],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[943,1522,1523],{},[28,1524,1525],{},"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。",[24,1527,1529],{"id":1528},"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）",[28,1531,1532],{},[32,1533,956],{},[69,1535,1536,1539,1542,1545,1548,1551,1554],{},[72,1537,1538],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[72,1540,1541],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[72,1543,1544],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[72,1546,1547],{},"40+ 模型一窗体内切换 + 对比",[72,1549,1550],{},"多设备同步流畅",[72,1552,1553],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[72,1555,1556],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[28,1558,1559],{},[32,1560,984],{},[69,1562,1563,1566,1569,1572,1575,1578,1581,1584],{},[72,1564,1565],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[72,1567,1568],{},"学习曲线明显，画布操作 + 节点连线要花时间",[72,1570,1571],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[72,1573,1574],{},"Free 300 credits 不够体验完整流程",[72,1576,1577],{},"Agent Neo 偶尔『过度自治』产出不可控",[72,1579,1580],{},"移动 iOS 体验不如桌面 Web",[72,1582,1583],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[72,1585,1586],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[24,1588,1013],{"id":1013},[429,1590,1591,1594,1597,1600,1603,1606],{},[72,1592,1593],{},"flowith.io → Free 注册 → 拿 300 credits",[72,1595,1596],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[72,1598,1599],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[72,1601,1602],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[72,1604,1605],{},"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",[72,1607,1608],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[24,1610,1039],{"id":1039},[142,1612,1613,1630],{},[145,1614,1615],{},[148,1616,1617,1619,1621,1624,1627],{},[151,1618,549],{},[151,1620,1416],{},[151,1622,1623],{},"Genspark",[151,1625,1626],{},"ChatGPT",[151,1628,1629],{},"Claude",[158,1631,1632,1648,1665,1682,1699,1714,1729],{},[148,1633,1634,1637,1640,1643,1646],{},[163,1635,1636],{},"形态",[163,1638,1639],{},"无限画布 + 节点",[163,1641,1642],{},"多 Agent + Sparkpage",[163,1644,1645],{},"线性 chat",[163,1647,1645],{},[148,1649,1650,1653,1656,1659,1662],{},[163,1651,1652],{},"自治 agent",[163,1654,1655],{},"✅ Neo 1000+ 步",[163,1657,1658],{},"✅ Super Agent",[163,1660,1661],{},"✅ Operator",[163,1663,1664],{},"❌（API 走）",[148,1666,1667,1670,1673,1676,1679],{},[163,1668,1669],{},"上下文",[163,1671,1672],{},"10M token",[163,1674,1675],{},"200K",[163,1677,1678],{},"1M（GPT-5）",[163,1680,1681],{},"1M（Claude）",[148,1683,1684,1687,1690,1693,1696],{},[163,1685,1686],{},"模型数",[163,1688,1689],{},"40+",[163,1691,1692],{},"多家",[163,1694,1695],{},"OpenAI",[163,1697,1698],{},"Anthropic",[148,1700,1701,1704,1707,1709,1712],{},[163,1702,1703],{},"Knowledge base",[163,1705,1706],{},"✅ Seeds",[163,1708,1148],{},[163,1710,1711],{},"Projects",[163,1713,1711],{},[148,1715,1716,1719,1722,1725,1727],{},[163,1717,1718],{},"起价",[163,1720,1721],{},"$19.90\u002F月",[163,1723,1724],{},"$25\u002F月",[163,1726,1106],{},[163,1728,1106],{},[148,1730,1731,1733,1736,1739,1742],{},[163,1732,1185],{},[163,1734,1735],{},"深度多线程 + 长任务",[163,1737,1738],{},"全能 Super Agent",[163,1740,1741],{},"通用",[163,1743,1744],{},"Coding \u002F 长文",[24,1746,1200],{"id":1200},[69,1748,1749,1755,1761,1767,1773,1779,1785,1791,1796,1802],{},[72,1750,1751,1754],{},[32,1752,1753],{},"从 Pro 起","：Free 300 credits 玩不出深度",[72,1756,1757,1760],{},[32,1758,1759],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[72,1762,1763,1766],{},[32,1764,1765],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[72,1768,1769,1772],{},[32,1770,1771],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[72,1774,1775,1778],{},[32,1776,1777],{},"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",[72,1780,1781,1784],{},[32,1782,1783],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[72,1786,1787,1790],{},[32,1788,1789],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[72,1792,1793,1795],{},[32,1794,1172],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[72,1797,1798,1801],{},[32,1799,1800],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[72,1803,1804,1807],{},[32,1805,1806],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[24,1809,1260],{"id":1259},[69,1811,1812,1815,1818,1821,1824,1827,1830,1833],{},[72,1813,1814],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[72,1816,1817],{},"✅ 要 10M token 超长上下文做综合分析",[72,1819,1820],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[72,1822,1823],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[72,1825,1826],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[72,1828,1829],{},"❌ 预算极紧 + 不愿学习曲线",[72,1831,1832],{},"❌ 线性思维 + 单线程偏好",[72,1834,1835],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[24,1837,687],{"id":687},[69,1839,1840,1846,1851],{},[72,1841,1842],{},[693,1843,1845],{"href":1844},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark","Genspark 评测",[72,1847,1848],{},[693,1849,1850],{"href":1372},"Alice 评测",[72,1852,1853],{},[693,1854,1296],{"href":1295},[24,1856,1311],{"id":1311},[429,1858,1859,1866,1873,1880],{},[72,1860,1861,1862],{},"Flowith 官网 + Pricing ",[693,1863,1864],{"href":1864,"rel":1865},"https:\u002F\u002Fflowith.io",[1321],[72,1867,1868,1869],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[693,1870,1871],{"href":1871,"rel":1872},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[1321],[72,1874,1875,1876],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[693,1877,1878],{"href":1878,"rel":1879},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[1321],[72,1881,1882,1883],{},"OpenTools — Flowith Review May 2026 ",[693,1884,1885],{"href":1885,"rel":1886},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[1321],{"title":328,"searchDepth":360,"depth":360,"links":1888},[1889,1890,1891,1892,1893,1894,1895,1896,1897,1898],{"id":839,"depth":350,"text":840},{"id":236,"depth":350,"text":236},{"id":477,"depth":350,"text":477},{"id":1528,"depth":350,"text":1529},{"id":1013,"depth":350,"text":1013},{"id":1039,"depth":350,"text":1039},{"id":1200,"depth":350,"text":1200},{"id":1259,"depth":350,"text":1260},{"id":687,"depth":350,"text":687},{"id":1311,"depth":350,"text":1311},"\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。",[1902,1905,1908,1911],{"q":1903,"a":1904},"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":1906,"a":1907},"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":1909,"a":1910},"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":1912,"a":1913},"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。",[755,1915,1916],"zh","multi",{},[1919,1920,1921],"web","ios","macos-flowithos",[1923,1927,1930,1934],{"plan":1924,"price":777,"features":1925,"notes":1926},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":1507,"price":1721,"features":1928,"notes":1929},"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":1513,"price":1931,"features":1932,"notes":1933},"$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":1519,"price":1935,"features":1936,"notes":1937},"$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）",[1940],"onboarding\u002Fcanvas-ai-research-workflow",{"power":387,"ux":375,"price":360,"cn_support":375,"stability":375},{"title":1416,"description":1900},[1944,1946,1948,1950],{"name":1945,"url":1864,"accessed":1396},"Flowith 官网",{"name":1947,"url":1871,"accessed":1396},"Toolworthy — Flowith Review 2026",{"name":1949,"url":1878,"accessed":1396},"BlockSentient — Flowith 2026 详细评测",{"name":1951,"url":1885,"accessed":1396},"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",[1955,1407,1956,1957,1958],"canvas","agentic","knowledge-base","flowith","线性 chat 装不下的复杂深度工作专用——研究 \u002F 报告 \u002F 网站搭建 \u002F 长期项目首选画布。简单问答 \u002F 短任务用 ChatGPT \u002F Claude 即可，Flowith 学习曲线 + credit 消耗都偏高。","Ocr650sP0dPPxhzx-Q848gqC9-t47_UOXArTaeHdbJg",{"id":1962,"title":1623,"alternatives":1963,"api_compatible":752,"body":1964,"category":747,"chinese_friendly":375,"cover":2462,"description":2463,"domestic":750,"extension":751,"faq":2464,"free":750,"github":752,"languages":2477,"meta":2478,"models":752,"navigation":762,"notSuitable":752,"opensource":750,"path":1844,"pillar":769,"platforms":2479,"priceTable":2481,"pricing":2490,"published":1388,"relatedPlaybooks":2491,"relatedReviews":752,"score":2493,"self_host":750,"seo":2494,"seoTitle":752,"slug":1418,"sources":2495,"stem":2504,"suitable":752,"tagline":2505,"tags":2506,"updated":1396,"verdict":2512,"website":2513,"__hash__":2514},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[834,833,1393],{"type":21,"value":1965,"toc":2450},[1966,1968,1971,1974,1976,2050,2052,2076,2081,2085,2089,2112,2116,2142,2144,2164,2166,2316,2318,2374,2376,2402,2404,2418,2420],[24,1967,840],{"id":839},[28,1969,1970],{},"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。",[28,1972,1973],{},"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）。",[24,1975,236],{"id":236},[69,1977,1978,1984,1990,1996,2002,2008,2014,2020,2026,2032,2038,2044],{},[72,1979,1980,1983],{},[32,1981,1982],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[72,1985,1986,1989],{},[32,1987,1988],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[72,1991,1992,1995],{},[32,1993,1994],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[72,1997,1998,2001],{},[32,1999,2000],{},"AI Slides","：10-15 张幻灯片含图表",[72,2003,2004,2007],{},[32,2005,2006],{},"AI Sites","：完整 landing page 一键生成",[72,2009,2010,2013],{},[32,2011,2012],{},"AI Video","：30-60s 短视频生成",[72,2015,2016,2019],{},[32,2017,2018],{},"AI Pods","：10 分钟 AI podcast 生成",[72,2021,2022,2025],{},[32,2023,2024],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[72,2027,2028,2031],{},[32,2029,2030],{},"AI Sheets","：CSV 数据分析 + 自动图表",[72,2033,2034,2037],{},[32,2035,2036],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[72,2039,2040,2043],{},[32,2041,2042],{},"iOS \u002F Android App","：移动端可用",[72,2045,2046,2049],{},[32,2047,2048],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[24,2051,477],{"id":477},[69,2053,2054,2059,2065,2070],{},[72,2055,2056,2058],{},[32,2057,1501],{},"：100-200 daily credits（~3-8 简单任务）",[72,2060,2061,2064],{},[32,2062,2063],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[72,2066,2067,2069],{},[32,2068,1507],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[72,2071,2072,2075],{},[32,2073,2074],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[943,2077,2078],{},[28,2079,2080],{},"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。",[24,2082,2084],{"id":2083},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[28,2086,2087],{},[32,2088,956],{},[69,2090,2091,2094,2097,2100,2103,2106,2109],{},[72,2092,2093],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[72,2095,2096],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[72,2098,2099],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[72,2101,2102],{},"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",[72,2104,2105],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[72,2107,2108],{},"Sparkpage 输出可直接分享 + 嵌入",[72,2110,2111],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[28,2113,2114],{},[32,2115,984],{},[69,2117,2118,2121,2124,2127,2130,2133,2136,2139],{},[72,2119,2120],{},"credit 消耗不透明，复杂任务前难估算成本",[72,2122,2123],{},"用户反馈 customer support + refund 有问题",[72,2125,2126],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[72,2128,2129],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[72,2131,2132],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[72,2134,2135],{},"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",[72,2137,2138],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[72,2140,2141],{},"Pro $249 月价格陡，中端断档",[24,2143,1013],{"id":1013},[429,2145,2146,2149,2152,2155,2158,2161],{},[72,2147,2148],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[72,2150,2151],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[72,2153,2154],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[72,2156,2157],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[72,2159,2160],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[72,2162,2163],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[24,2165,1039],{"id":1039},[142,2167,2168,2184],{},[145,2169,2170],{},[148,2171,2172,2174,2176,2178,2181],{},[151,2173,549],{},[151,2175,1623],{},[151,2177,1416],{},[151,2179,2180],{},"Perplexity Pro",[151,2182,2183],{},"ChatGPT Plus",[158,2185,2186,2201,2216,2230,2244,2259,2273,2286,2301],{},[148,2187,2188,2190,2193,2196,2198],{},[163,2189,1982],{},[163,2191,2192],{},"✅ 多 Agent",[163,2194,2195],{},"✅ Neo 自治",[163,2197,1148],{},[163,2199,2200],{},"Operator",[148,2202,2203,2206,2209,2212,2214],{},[163,2204,2205],{},"可视化输出",[163,2207,2208],{},"✅ Sparkpage",[163,2210,2211],{},"✅ 画布",[163,2213,1148],{},[163,2215,1148],{},[148,2217,2218,2221,2224,2226,2228],{},[163,2219,2220],{},"真实电话调用",[163,2222,2223],{},"✅ Call For Me",[163,2225,1148],{},[163,2227,1148],{},[163,2229,1148],{},[148,2231,2232,2235,2238,2240,2242],{},[163,2233,2234],{},"一键建站",[163,2236,2237],{},"✅ AI Sites",[163,2239,1148],{},[163,2241,1148],{},[163,2243,1148],{},[148,2245,2246,2249,2252,2254,2256],{},[163,2247,2248],{},"视频 \u002F 音频生成",[163,2250,2251],{},"✅ Video \u002F Pods",[163,2253,1133],{},[163,2255,1148],{},[163,2257,2258],{},"Sora（独立）",[148,2260,2261,2264,2267,2269,2271],{},[163,2262,2263],{},"引用透明",[163,2265,2266],{},"中",[163,2268,1148],{},[163,2270,1068],{},[163,2272,1133],{},[148,2274,2275,2277,2280,2282,2284],{},[163,2276,1718],{},[163,2278,2279],{},"$25\u002F月（Plus）",[163,2281,1721],{},[163,2283,1106],{},[163,2285,1106],{},[148,2287,2288,2291,2294,2296,2298],{},[163,2289,2290],{},"最贵",[163,2292,2293],{},"$249\u002F月",[163,2295,1935],{},[163,2297,1106],{},[163,2299,2300],{},"$200\u002F月",[148,2302,2303,2305,2308,2311,2314],{},[163,2304,1185],{},[163,2306,2307],{},"一站式 Super Agent",[163,2309,2310],{},"画布深度",[163,2312,2313],{},"搜索引用",[163,2315,1741],{},[24,2317,1200],{"id":1200},[69,2319,2320,2326,2332,2338,2344,2350,2356,2362,2368],{},[72,2321,2322,2325],{},[32,2323,2324],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[72,2327,2328,2331],{},[32,2329,2330],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[72,2333,2334,2337],{},[32,2335,2336],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[72,2339,2340,2343],{},[32,2341,2342],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[72,2345,2346,2349],{},[32,2347,2348],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[72,2351,2352,2355],{},[32,2353,2354],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[72,2357,2358,2361],{},[32,2359,2360],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[72,2363,2364,2367],{},[32,2365,2366],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[72,2369,2370,2373],{},[32,2371,2372],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[24,2375,1260],{"id":1259},[69,2377,2378,2381,2384,2387,2390,2393,2396,2399],{},[72,2379,2380],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[72,2382,2383],{},"✅ Plus $25 重度多模型不限 chat 用户",[72,2385,2386],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[72,2388,2389],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[72,2391,2392],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[72,2394,2395],{},"❌ 学术严谨场景",[72,2397,2398],{},"❌ 预算极紧",[72,2400,2401],{},"❌ 要画布 + 多线程深度（用 Flowith）",[24,2403,687],{"id":687},[69,2405,2406,2410,2414],{},[72,2407,2408],{},[693,2409,1308],{"href":1307},[72,2411,2412],{},[693,2413,1296],{"href":1295},[72,2415,2416],{},[693,2417,1850],{"href":1372},[24,2419,1311],{"id":1311},[429,2421,2422,2429,2436,2443],{},[72,2423,2424,2425],{},"Genspark Pricing 官方 ",[693,2426,2427],{"href":2427,"rel":2428},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[1321],[72,2430,2431,2432],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[693,2433,2434],{"href":2434,"rel":2435},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[1321],[72,2437,2438,2439],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[693,2440,2441],{"href":2441,"rel":2442},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[1321],[72,2444,2445,2446],{},"Lindy — Genspark Features 2026 Tested ",[693,2447,2448],{"href":2448,"rel":2449},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[1321],{"title":328,"searchDepth":360,"depth":360,"links":2451},[2452,2453,2454,2455,2456,2457,2458,2459,2460,2461],{"id":839,"depth":350,"text":840},{"id":236,"depth":350,"text":236},{"id":477,"depth":350,"text":477},{"id":2083,"depth":350,"text":2084},{"id":1013,"depth":350,"text":1013},{"id":1039,"depth":350,"text":1039},{"id":1200,"depth":350,"text":1200},{"id":1259,"depth":350,"text":1260},{"id":687,"depth":350,"text":687},{"id":1311,"depth":350,"text":1311},"\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。",[2465,2468,2471,2474],{"q":2466,"a":2467},"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":2469,"a":2470},"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":2472,"a":2473},"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":2475,"a":2476},"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。",[755,1915,1916],{},[1919,1920,2480],"android",[2482,2484,2487],{"plan":1501,"price":777,"features":2483,"notes":1926},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":2063,"price":1724,"features":2485,"notes":2486},"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":1507,"price":2293,"features":2488,"notes":2489},"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",[2492],"onboarding\u002Fsuper-agent-workflow",{"power":387,"ux":375,"price":360,"cn_support":360,"stability":375},{"title":1623,"description":2463},[2496,2498,2500,2502],{"name":2497,"url":2427,"accessed":1396},"Genspark 官网 + Pricing",{"name":2499,"url":2434,"accessed":1396},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":2501,"url":2441,"accessed":1396},"Rimo — Genspark 2026 + ARR $250M",{"name":2503,"url":2448,"accessed":1396},"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",[2507,2508,2509,2510,2511],"super-agent","multi-agent","sparkpage","call-agent","genspark","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","4z6BpXPUsDg0c4H6t-MNdIES6Gq2hbI5zP2Qe-fl4uU",{"id":10,"title":11,"alternatives":2516,"api_compatible":2517,"body":2518,"category":747,"chinese_friendly":350,"cover":748,"description":749,"domestic":750,"extension":751,"faq":752,"free":750,"github":753,"languages":3020,"meta":3021,"models":3022,"navigation":762,"notSuitable":3023,"opensource":762,"path":768,"pillar":769,"platforms":3024,"priceTable":3025,"pricing":787,"published":788,"relatedPlaybooks":752,"relatedReviews":752,"score":3028,"self_host":762,"seo":3029,"seoTitle":791,"slug":792,"sources":3030,"stem":808,"suitable":3036,"tagline":815,"tags":3037,"updated":788,"verdict":824,"website":753,"__hash__":825},[13,14,15],[17,18,19],{"type":21,"value":2519,"toc":2998},[2520,2522,2526,2530,2536,2538,2540,2544,2562,2566,2568,2572,2582,2584,2586,2590,2656,2660,2662,2664,2668,2680,2682,2684,2686,2700,2702,2704,2706,2716,2718,2720,2768,2776,2778,2782,2792,2794,2796,2814,2816,2858,2862,2864,2950,2952,2956,2960,2964,2968,2972,2974,2996],[24,2521,26],{"id":26},[28,2523,30,2524,35],{},[32,2525,34],{},[28,2527,38,2528],{},[32,2529,41],{},[43,2531,2532],{"type":45},[28,2533,2534,51],{},[32,2535,50],{},[24,2537,55],{"id":54},[57,2539,60],{"id":59},[28,2541,63,2542,67],{},[32,2543,66],{},[69,2545,2546,2550,2554,2558],{},[72,2547,2548,77],{},[32,2549,76],{},[72,2551,2552,83],{},[32,2553,82],{},[72,2555,2556,89],{},[32,2557,88],{},[72,2559,2560,95],{},[32,2561,94],{},[28,2563,98,2564,102],{},[32,2565,101],{},[57,2567,106],{"id":105},[28,2569,109,2570,113],{},[32,2571,112],{},[69,2573,2574,2576,2578,2580],{},[72,2575,118],{},[72,2577,121],{},[72,2579,124],{},[72,2581,127],{},[28,2583,130],{},[57,2585,134],{"id":133},[28,2587,137,2588,67],{},[32,2589,140],{},[142,2591,2592,2600],{},[145,2593,2594],{},[148,2595,2596,2598],{},[151,2597,153],{},[151,2599,156],{},[158,2601,2602,2608,2614,2620,2626,2632,2638,2644,2650],{},[148,2603,2604,2606],{},[163,2605,165],{},[163,2607,168],{},[148,2609,2610,2612],{},[163,2611,173],{},[163,2613,176],{},[148,2615,2616,2618],{},[163,2617,181],{},[163,2619,176],{},[148,2621,2622,2624],{},[163,2623,188],{},[163,2625,176],{},[148,2627,2628,2630],{},[163,2629,195],{},[163,2631,176],{},[148,2633,2634,2636],{},[163,2635,202],{},[163,2637,176],{},[148,2639,2640,2642],{},[163,2641,209],{},[163,2643,176],{},[148,2645,2646,2648],{},[163,2647,216],{},[163,2649,219],{},[148,2651,2652,2654],{},[163,2653,224],{},[163,2655,227],{},[28,2657,230,2658],{},[32,2659,233],{},[24,2661,236],{"id":236},[57,2663,239],{"id":239},[28,2665,242,2666,67],{},[32,2667,245],{},[69,2669,2670,2672,2674,2678],{},[72,2671,250],{},[72,2673,253],{},[72,2675,256,2676,260],{},[32,2677,259],{},[72,2679,263],{},[28,2681,266],{},[57,2683,269],{"id":269},[28,2685,272],{},[69,2687,2688,2690,2692,2694,2696,2698],{},[72,2689,277],{},[72,2691,280],{},[72,2693,283],{},[72,2695,286],{},[72,2697,289],{},[72,2699,292],{},[28,2701,295],{},[57,2703,298],{"id":298},[28,2705,301],{},[69,2707,2708,2710,2712,2714],{},[72,2709,306],{},[72,2711,309],{},[72,2713,312],{},[72,2715,315],{},[24,2717,318],{"id":318},[57,2719,321],{"id":321},[323,2721,2722],{"className":325,"code":326,"language":327,"meta":328,"style":328},[330,2723,2724,2732,2738,2748,2756,2760],{"__ignoreMap":328},[333,2725,2726,2728,2730],{"class":335,"line":336},[333,2727,340],{"class":339},[333,2729,344],{"class":343},[333,2731,347],{"class":343},[333,2733,2734,2736],{"class":335,"line":350},[333,2735,354],{"class":353},[333,2737,357],{"class":343},[333,2739,2740,2742,2744,2746],{"class":335,"line":360},[333,2741,363],{"class":339},[333,2743,366],{"class":343},[333,2745,369],{"class":353},[333,2747,372],{"class":343},[333,2749,2750,2752,2754],{"class":335,"line":375},[333,2751,378],{"class":339},[333,2753,381],{"class":343},[333,2755,384],{"class":343},[333,2757,2758],{"class":335,"line":387},[333,2759,391],{"class":390},[333,2761,2762,2764,2766],{"class":335,"line":394},[333,2763,397],{"class":339},[333,2765,400],{"class":353},[333,2767,403],{"class":343},[28,2769,406,2770,410,2772,414,2774,418],{},[32,2771,409],{},[32,2773,413],{},[32,2775,417],{},[57,2777,421],{"id":421},[28,2779,424,2780,67],{},[32,2781,427],{},[429,2783,2784,2786,2788,2790],{},[72,2785,433],{},[72,2787,436],{},[72,2789,439],{},[72,2791,442],{},[28,2793,445],{},[57,2795,448],{"id":448},[69,2797,2798,2802,2806,2810],{},[72,2799,2800,456],{},[32,2801,455],{},[72,2803,2804,462],{},[32,2805,461],{},[72,2807,2808,468],{},[32,2809,467],{},[72,2811,2812,474],{},[32,2813,473],{},[24,2815,477],{"id":477},[142,2817,2818,2826],{},[145,2819,2820],{},[148,2821,2822,2824],{},[151,2823,486],{},[151,2825,489],{},[158,2827,2828,2834,2840,2846,2852],{},[148,2829,2830,2832],{},[163,2831,496],{},[163,2833,499],{},[148,2835,2836,2838],{},[163,2837,504],{},[163,2839,507],{},[148,2841,2842,2844],{},[163,2843,512],{},[163,2845,515],{},[148,2847,2848,2850],{},[163,2849,520],{},[163,2851,523],{},[148,2853,2854,2856],{},[163,2855,528],{},[163,2857,531],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Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[32,3063,3064],{},"邀请码一度被炒到 ¥5 万-10 万","（",[693,3067,3070],{"href":3068,"rel":3069},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[1321],"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。",[28,3073,3074,3075,3065,3078,3082,3083,3086],{},"2025-12 传被 ",[32,3076,3077],{},"Meta 以约 20-30 亿美元收购",[693,3079,3081],{"href":3068,"rel":3080},[1321],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[32,3084,3085],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[943,3088,3089],{},[28,3090,3091],{},"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。",[24,3093,3094],{"id":3094},"背景与公司",[69,3096,3097,3108,3114,3120,3126,3137,3147,3153],{},[72,3098,3099,3102,3103,3107],{},[32,3100,3101],{},"公司","：Butterfly Effect Pte. Ltd.（",[693,3104,3106],{"href":3068,"rel":3105},[1321],"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）",[72,3109,3110,3113],{},[32,3111,3112],{},"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）",[72,3115,3116,3119],{},[32,3117,3118],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[72,3121,3122,3125],{},[32,3123,3124],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[72,3127,3128,3131,3132,3136],{},[32,3129,3130],{},"Manus 启动","：2024-10 立项，灵感来自 ",[693,3133,3135],{"href":3134},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[72,3138,3139,3142,3143],{},[32,3140,3141],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[693,3144,3146],{"href":3068,"rel":3145},[1321],"Demo 视频 20 小时百万播放",[72,3148,3149,3152],{},[32,3150,3151],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[72,3154,3155,3158],{},[32,3156,3157],{},"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",[24,3160,3161],{"id":3161},"核心特性",[57,3163,3165],{"id":3164},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[28,3167,3168,3173],{},[693,3169,3172],{"href":3170,"rel":3171},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[1321],"Pick Right 2026-04 评测"," 描述的架构：",[943,3175,3176],{},[28,3177,3178],{},"\"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.\"",[28,3180,3181,3182,3185],{},"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 ",[32,3183,3184],{},"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。",[57,3187,3189],{"id":3188},"通用-agent-模式","通用 Agent 模式",[28,3191,3192,3197],{},[693,3193,3196],{"href":3194,"rel":3195},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[1321],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[142,3199,3200,3210],{},[145,3201,3202],{},[148,3203,3204,3207],{},[151,3205,3206],{},"模型",[151,3208,3209],{},"GAIA 准确率",[158,3211,3212,3224,3232,3240,3248,3256],{},[148,3213,3214,3219],{},[163,3215,3216],{},[32,3217,3218],{},"Manus AI",[163,3220,3221],{},[32,3222,3223],{},">65%（SOTA）",[148,3225,3226,3229],{},[163,3227,3228],{},"H2O.ai (h2oGPTe)",[163,3230,3231],{},"65%",[148,3233,3234,3237],{},[163,3235,3236],{},"Google Langfun",[163,3238,3239],{},"49%",[148,3241,3242,3245],{},[163,3243,3244],{},"Microsoft o1",[163,3246,3247],{},"38%",[148,3249,3250,3253],{},[163,3251,3252],{},"OpenAI GPT-4o",[163,3254,3255],{},"32%",[148,3257,3258,3261],{},[163,3259,3260],{},"OpenAI GPT-4 + Plugins",[163,3262,3263],{},"15-30%",[943,3265,3266],{},[28,3267,3268],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[57,3270,3272],{"id":3271},"后台执行-长任务","后台执行 + 长任务",[28,3274,3275,3276,3279],{},"最特别的体验：任务下达后",[32,3277,3278],{},"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。",[57,3281,3283],{"id":3282},"web-app-builder","Web App Builder",[28,3285,3286,3287,3291],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[693,3288,3290],{"href":3170,"rel":3289},[1321],"Pick Right 评测"," 直白警告：",[943,3293,3294],{},[28,3295,3296],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[28,3298,3299,3300,3304,3305,3304,3309,3313],{},"复杂场景下出 bug 多，目前不建议生产部署，",[693,3301,3303],{"href":3302},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[693,3306,3308],{"href":3307},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[693,3310,3312],{"href":3311},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[57,3315,3316],{"id":3316},"桌面应用",[28,3318,3319],{},"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。",[57,3321,3322],{"id":3322},"多模型路由",[28,3324,3325,3326,3329],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[32,3327,3328],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[24,3331,3332],{"id":3332},"价格与运行成本",[28,3334,3335,3338],{},[693,3336,3290],{"href":3170,"rel":3337},[1321]," 公开档位：",[142,3340,3341,3353],{},[145,3342,3343],{},[148,3344,3345,3348,3350],{},[151,3346,3347],{},"档位",[151,3349,477],{},[151,3351,3352],{},"关键点",[158,3354,3355,3364,3373,3383],{},[148,3356,3357,3359,3361],{},[163,3358,1501],{},[163,3360,777],{},[163,3362,3363],{},"每日有限 credits，够 1 个高强度任务\u002F天",[148,3365,3366,3368,3370],{},[163,3367,1507],{},[163,3369,1106],{},[163,3371,3372],{},"大多数付费用户落点；中等 credit + 多模型",[148,3374,3375,3377,3380],{},[163,3376,2063],{},[163,3378,3379],{},"$50\u002F月",[163,3381,3382],{},"更高 credit + 优先队列，10+ 任务\u002F周",[148,3384,3385,3388,3391],{},[163,3386,3387],{},"Pro+ \u002F Team",[163,3389,3390],{},"最高 $200\u002F月",[163,3392,3393],{},"最大 credit + 团队空间（功能仍有限）",[28,3395,3396,3399],{},[32,3397,3398],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[28,3401,3402,67],{},[693,3403,3405],{"href":3170,"rel":3404},[1321],"Pick Right 真实使用反馈",[943,3407,3408],{},[28,3409,3410],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[28,3412,3413,3416],{},[32,3414,3415],{},"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。",[24,3418,3420],{"id":3419},"上手-5-分钟","上手 5 分钟",[429,3422,3423,3431,3434,3449,3452,3458,3461],{},[72,3424,3425,3426],{},"打开 ",[693,3427,3430],{"href":3428,"rel":3429},"https:\u002F\u002Fmanus.im",[1321],"manus.im",[72,3432,3433],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[72,3435,3436,3437,3440,3441],{},"给一个完整任务描述（",[32,3438,3439],{},"关键","：不要碎片化指令，给全场景）\n",[323,3442,3447],{"className":3443,"code":3445,"language":3446},[3444],"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",[330,3448,3445],{"__ignoreMap":328},[72,3450,3451],{},"选模型路由（Auto 推荐）",[72,3453,3454,3455,3457],{},"提交后",[32,3456,3278],{},"——任务在云端跑",[72,3459,3460],{},"完成后邮件 \u002F 站内通知",[72,3462,3463],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[24,3465,3466],{"id":3466},"国内使用注意事项",[429,3468,3469,3479,3485,3491],{},[72,3470,3471,67,3474,3478],{},[32,3472,3473],{},"大陆访问被屏蔽",[693,3475,3477],{"href":3068,"rel":3476},[1321],"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",[72,3480,3481,3484],{},[32,3482,3483],{},"访问需稳定代理","：日韩 \u002F 美国节点",[72,3486,3487,3490],{},[32,3488,3489],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[72,3492,3493,3496,3497,3500,3501,3505],{},[32,3494,3495],{},"替代路径","：国内可考虑 ",[693,3498,1623],{"href":3499},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[693,3502,3504],{"href":3503},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[24,3507,3508],{"id":3508},"与同类怎么选",[142,3510,3511,3535],{},[145,3512,3513],{},[148,3514,3515,3517,3519,3525,3529,3532],{},[151,3516,549],{},[151,3518,554],{},[151,3520,3521],{},[693,3522,3524],{"href":3523},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[151,3526,3527],{},[693,3528,1623],{"href":3499},[151,3530,3531],{},"ChatGPT Deep Research",[151,3533,3534],{},"GenAgent",[158,3536,3537,3556,3575,3592,3607,3623,3640,3658],{},[148,3538,3539,3542,3545,3548,3551,3554],{},[163,3540,3541],{},"核心定位",[163,3543,3544],{},"通用 Agent",[163,3546,3547],{},"AI 程序员",[163,3549,3550],{},"AI 搜索 + Agent",[163,3552,3553],{},"LLM Deep Research",[163,3555,1741],{},[148,3557,3558,3561,3564,3567,3570,3573],{},[163,3559,3560],{},"架构",[163,3562,3563],{},"多 sub-agent 并行",[163,3565,3566],{},"单 Agent + 沙盒",[163,3568,3569],{},"多模型",[163,3571,3572],{},"单模型",[163,3574,779],{},[148,3576,3577,3580,3583,3586,3588,3590],{},[163,3578,3579],{},"长任务",[163,3581,3582],{},"★★★★★ 小时级",[163,3584,3585],{},"★★★★★",[163,3587,624],{},[163,3589,618],{},[163,3591,624],{},[148,3593,3594,3597,3599,3601,3603,3605],{},[163,3595,3596],{},"引用密度",[163,3598,3585],{},[163,3600,624],{},[163,3602,618],{},[163,3604,624],{},[163,3606,624],{},[148,3608,3609,3612,3615,3617,3619,3621],{},[163,3610,3611],{},"App Builder",[163,3613,3614],{},"⚠️ 有但 buggy",[163,3616,569],{},[163,3618,569],{},[163,3620,569],{},[163,3622,569],{},[148,3624,3625,3628,3631,3634,3636,3638],{},[163,3626,3627],{},"中文",[163,3629,3630],{},"⚠️ 大陆屏蔽",[163,3632,3633],{},"⚠️",[163,3635,3585],{},[163,3637,3633],{},[163,3639,618],{},[148,3641,3642,3644,3647,3650,3653,3656],{},[163,3643,477],{},[163,3645,3646],{},"$20-$200",[163,3648,3649],{},"$500\u002F月",[163,3651,3652],{},"$24.99\u002F月",[163,3654,3655],{},"随 ChatGPT Plus",[163,3657,779],{},[148,3659,3660,3663,3666,3669,3672,3675],{},[163,3661,3662],{},"适合场景",[163,3664,3665],{},"research \u002F 数据分析",[163,3667,3668],{},"写代码 \u002F 修 bug",[163,3670,3671],{},"信息检索",[163,3673,3674],{},"单次深度研究",[163,3676,3677],{},"综合",[28,3679,3680,67],{},[32,3681,3682],{},"选 Manus 如果你",[69,3684,3685,3691,3694,3697],{},[72,3686,3687,3688],{},"重视 research \u002F 数据分析任务的 ",[32,3689,3690],{},"引用密度和结构化输出",[72,3692,3693],{},"想试\"开任务下班、明早看结果\"的工作流",[72,3695,3696],{},"海外 \u002F 能解决账号网络问题",[72,3698,3699],{},"预算 $20-$50\u002F月，重度用户",[28,3701,3702,67],{},[32,3703,3704],{},"别选 Manus 如果你",[69,3706,3707,3716,3719,3722],{},[72,3708,3709,3710,3304,3712,3715],{},"国内裸用（",[693,3711,1623],{"href":3499},[693,3713,3714],{"href":3503},"Yuanbao"," 更顺）",[72,3717,3718],{},"想生产部署 App（Web App Builder bug 多）",[72,3720,3721],{},"团队协作场景（功能不完善）",[72,3723,3724],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[24,3726,3727],{"id":3727},"避坑清单",[69,3729,3730,3736,3746,3752,3758,3770,3776,3782],{},[72,3731,3732,3735],{},[32,3733,3734],{},"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",[72,3737,3738,67,3741,3745],{},[32,3739,3740],{},"credit 烧得比官方页面暗示的快",[693,3742,3744],{"href":3170,"rel":3743},[1321],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[72,3747,3748,3751],{},[32,3749,3750],{},"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",[72,3753,3754,3757],{},[32,3755,3756],{},"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",[72,3759,3760,3763,3764,3769],{},[32,3761,3762],{},"每次任务从零开始","：没有持久 workspace，不像 ",[693,3765,3768],{"href":3766,"rel":3767},"https:\u002F\u002Fclaude.com",[1321],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[72,3771,3772,3775],{},[32,3773,3774],{},"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",[72,3777,3778,3781],{},[32,3779,3780],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[72,3783,3784,3787,3788,3793],{},[32,3785,3786],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[693,3789,3792],{"href":3790,"rel":3791},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[1321],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[24,3795,1260],{"id":1259},[28,3797,3798],{},"✅ 适合：",[69,3800,3801,3804,3807,3810,3813],{},[72,3802,3803],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[72,3805,3806],{},"CSV \u002F Excel 重的数据分析任务",[72,3808,3809],{},"长任务 + 不想盯着看（小时级）",[72,3811,3812],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[72,3814,3815],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[28,3817,3818],{},"❌ 不适合：",[69,3820,3821,3824,3827,3830,3833],{},[72,3822,3823],{},"生产级应用部署",[72,3825,3826],{},"团队协作工作流",[72,3828,3829],{},"预算极敏感（free 档非常受限）",[72,3831,3832],{},"大陆稳定访问需求",[72,3834,3835,3836,3839],{},"需要深度持久上下文（用 ",[693,3837,3768],{"href":3766,"rel":3838},[1321]," \u002F ChatGPT Custom GPT 等）",[24,3841,687],{"id":687},[69,3843,3844,3855,3866,3881],{},[72,3845,3846,3847,3304,3849,3851,3852,3854],{},"同类对比：",[693,3848,3524],{"href":3523},[693,3850,1623],{"href":3499}," \u002F Elicit \u002F ",[693,3853,3714],{"href":3503}," \u002F Metaso",[72,3856,3857,3858,3304,3862,3865],{},"概念：",[693,3859,3861],{"href":3860},"\u002Fwiki\u002Fai-agent.html","AI Agent",[693,3863,3864],{"href":3860},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[72,3867,3868,3869,3304,3873,3304,3877],{},"模型：",[693,3870,3872],{"href":3871},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[693,3874,3876],{"href":3875},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[693,3878,3880],{"href":3879},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[72,3882,3883,3884,3304,3888],{},"进阶：",[693,3885,3887],{"href":3886},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[693,3889,3891],{"href":3890},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[24,3893,1311],{"id":1311},[69,3895,3896,3902,3905,3908],{},[72,3897,3898,3899],{},"官网：",[693,3900,3428],{"href":3428,"rel":3901},[1321],[72,3903,3904],{},"Wikipedia：\"Manus (AI agent)\" 条目",[72,3906,3907],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[72,3909,3910],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[28,3912,3913,3914,3917],{},"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 ",[693,3915,3916],{"href":3916},"\u002Fsubmit"," 反馈。",{"title":328,"searchDepth":360,"depth":360,"links":3919},[3920,3921,3922,3930,3931,3932,3933,3934,3935,3936,3937],{"id":839,"depth":350,"text":840},{"id":3094,"depth":350,"text":3094},{"id":3161,"depth":350,"text":3161,"children":3923},[3924,3925,3926,3927,3928,3929],{"id":3164,"depth":360,"text":3165},{"id":3188,"depth":360,"text":3189},{"id":3271,"depth":360,"text":3272},{"id":3282,"depth":360,"text":3283},{"id":3316,"depth":360,"text":3316},{"id":3322,"depth":360,"text":3322},{"id":3332,"depth":350,"text":3332},{"id":3419,"depth":350,"text":3420},{"id":3466,"depth":350,"text":3466},{"id":3508,"depth":350,"text":3508},{"id":3727,"depth":350,"text":3727},{"id":1259,"depth":350,"text":1260},{"id":687,"depth":350,"text":687},{"id":1311,"depth":350,"text":1311},"\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。",[1915,755],{},[760,3943,3944,3945],"claude-opus-4","qwen-max","manus-internal",[3947,3948,3949,3950],"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",[1919,773,772,771],[3954,3957,3960,3963],{"plan":1501,"price":777,"limit":3955,"cn_pay":779,"note":3956},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1507,"price":1106,"limit":3958,"cn_pay":785,"note":3959},"更高 credit + 更长任务时长 + 多模型路由","个人主力档",{"plan":2063,"price":3379,"limit":3961,"cn_pay":3633,"note":3962},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":3964,"price":2300,"limit":3965,"cn_pay":3633,"note":3966},"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",[3970],"onboarding\u002Fmanus-getting-started",[3972],"manus-deep-review",{"power":387,"ux":387,"price":360,"cn_support":375,"stability":360},{"title":554,"description":3939},[3976,3978,3981,3983,3985,3988],{"title":3977,"url":3428},"Manus 官网",{"title":3979,"url":3980},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":3982,"url":3170},"Manus AI Review 2026 (Pick Right)",{"title":3984,"url":3194},"Info-Tech Manus Assessment",{"title":3986,"url":3987},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":3989,"url":3990},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[3993,3994,3995,3996,3997],"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",[817,818,4000,2508,4001,4002],"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。","AaSPUCWb2nxYWHxSC_BBzBy3OJG69bjyadYk9bISuwc",{"id":4006,"title":4007,"alternatives":4008,"api_compatible":752,"body":4012,"category":747,"chinese_friendly":360,"cover":4531,"description":4532,"domestic":750,"extension":751,"faq":4533,"free":750,"github":752,"languages":4545,"meta":4546,"models":752,"navigation":762,"notSuitable":752,"opensource":750,"path":4547,"pillar":769,"platforms":4548,"priceTable":4549,"pricing":4565,"published":1388,"relatedPlaybooks":4566,"relatedReviews":752,"score":4568,"self_host":762,"seo":4569,"seoTitle":752,"slug":4570,"sources":4571,"stem":4580,"suitable":752,"tagline":4581,"tags":4582,"updated":1396,"verdict":4585,"website":4586,"__hash__":4587},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[4009,4010,4011],"coding\u002Flocal\u002Follama","coding\u002Flocal\u002Flm-studio","coding\u002Flocal\u002Fopen-webui",{"type":21,"value":4013,"toc":4519},[4014,4016,4019,4022,4024,4098,4100,4125,4130,4134,4138,4164,4168,4194,4196,4219,4221,4380,4382,4437,4439,4465,4467,4487,4489],[24,4015,840],{"id":839},[28,4017,4018],{},"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。",[28,4020,4021],{},"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）。",[24,4023,236],{"id":236},[69,4025,4026,4032,4038,4044,4050,4056,4062,4068,4074,4080,4086,4092],{},[72,4027,4028,4031],{},[32,4029,4030],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[72,4033,4034,4037],{},[32,4035,4036],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[72,4039,4040,4043],{},[32,4041,4042],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[72,4045,4046,4049],{},[32,4047,4048],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[72,4051,4052,4055],{},[32,4053,4054],{},"Prompt Studio","：变量 + 模板 + 测试",[72,4057,4058,4061],{},[32,4059,4060],{},"Persona Studio","：自定义角色 + 工具 + context",[72,4063,4064,4067],{},[32,4065,4066],{},"Skills Studio","：可复用能力包",[72,4069,4070,4073],{},[32,4071,4072],{},"Agent Mode","：多步执行 + 工具调用",[72,4075,4076,4079],{},[32,4077,4078],{},"Flowchart 对话","：分支可视化",[72,4081,4082,4085],{},[32,4083,4084],{},"Real-time 数据","：实时 web fetch",[72,4087,4088,4091],{},[32,4089,4090],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[72,4093,4094,4097],{},[32,4095,4096],{},"Cloud Sync","（Aurum）：跨设备同步对话",[24,4099,477],{"id":477},[69,4101,4102,4107,4113,4119],{},[72,4103,4104,4106],{},[32,4105,1501],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[72,4108,4109,4112],{},[32,4110,4111],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[72,4114,4115,4118],{},[32,4116,4117],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[72,4120,4121,4124],{},[32,4122,4123],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[943,4126,4127],{},[28,4128,4129],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[24,4131,4133],{"id":4132},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[28,4135,4136],{},[32,4137,956],{},[69,4139,4140,4143,4146,4149,4152,4155,4158,4161],{},[72,4141,4142],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[72,4144,4145],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[72,4147,4148],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[72,4150,4151],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[72,4153,4154],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[72,4156,4157],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[72,4159,4160],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[72,4162,4163],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[28,4165,4166],{},[32,4167,984],{},[69,4169,4170,4173,4176,4179,4182,4185,4188,4191],{},[72,4171,4172],{},"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",[72,4174,4175],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[72,4177,4178],{},"桌面 only，无 iOS \u002F Android",[72,4180,4181],{},"llama.cpp 更新滞后官方上游 1-2 版本",[72,4183,4184],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[72,4186,4187],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[72,4189,4190],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[72,4192,4193],{},"中文 UI 不完整，部分功能仍是英文",[24,4195,1013],{"id":1013},[429,4197,4198,4201,4204,4207,4210,4213,4216],{},[72,4199,4200],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[72,4202,4203],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[72,4205,4206],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[72,4208,4209],{},"加云模型：OpenAI Key + Anthropic Key",[72,4211,4212],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[72,4214,4215],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[72,4217,4218],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[24,4220,1039],{"id":1039},[142,4222,4223,4240],{},[145,4224,4225],{},[148,4226,4227,4229,4231,4234,4237],{},[151,4228,549],{},[151,4230,4007],{},[151,4232,4233],{},"Ollama",[151,4235,4236],{},"LM Studio",[151,4238,4239],{},"Jan",[158,4241,4242,4257,4272,4285,4297,4310,4324,4338,4350,4364],{},[148,4243,4244,4247,4250,4253,4255],{},[163,4245,4246],{},"GUI",[163,4248,4249],{},"✅ 颜值高",[163,4251,4252],{},"❌ CLI",[163,4254,176],{},[163,4256,176],{},[148,4258,4259,4262,4265,4267,4270],{},[163,4260,4261],{},"本地引擎",[163,4263,4264],{},"MLX\u002Fllama.cpp\u002FOllama",[163,4266,4233],{},[163,4268,4269],{},"llama.cpp",[163,4271,4269],{},[148,4273,4274,4277,4279,4281,4283],{},[163,4275,4276],{},"云模型",[163,4278,176],{},[163,4280,569],{},[163,4282,569],{},[163,4284,1133],{},[148,4286,4287,4289,4291,4293,4295],{},[163,4288,4042],{},[163,4290,1136],{},[163,4292,569],{},[163,4294,1133],{},[163,4296,1148],{},[148,4298,4299,4301,4304,4306,4308],{},[163,4300,4048],{},[163,4302,4303],{},"✅ per-conv",[163,4305,569],{},[163,4307,569],{},[163,4309,1133],{},[148,4311,4312,4315,4318,4320,4322],{},[163,4313,4314],{},"Studios",[163,4316,4317],{},"✅ Prompt\u002FPersona\u002FSkills",[163,4319,1148],{},[163,4321,1148],{},[163,4323,1148],{},[148,4325,4326,4328,4330,4333,4335],{},[163,4327,564],{},[163,4329,569],{},[163,4331,4332],{},"✅ MIT",[163,4334,569],{},[163,4336,4337],{},"✅ Apache 2.0",[148,4339,4340,4342,4344,4346,4348],{},[163,4341,1718],{},[163,4343,777],{},[163,4345,777],{},[163,4347,777],{},[163,4349,777],{},[148,4351,4352,4355,4358,4360,4362],{},[163,4353,4354],{},"终身",[163,4356,4357],{},"$349",[163,4359,1148],{},[163,4361,1148],{},[163,4363,1148],{},[148,4365,4366,4368,4371,4374,4377],{},[163,4367,1185],{},[163,4369,4370],{},"桌面颜值 + 多模型",[163,4372,4373],{},"CLI \u002F Server",[163,4375,4376],{},"模型市场",[163,4378,4379],{},"严格开源",[24,4381,1200],{"id":1200},[69,4383,4384,4390,4396,4402,4408,4414,4420,4426,4432],{},[72,4385,4386,4389],{},[32,4387,4388],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[72,4391,4392,4395],{},[32,4393,4394],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[72,4397,4398,4401],{},[32,4399,4400],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[72,4403,4404,4407],{},[32,4405,4406],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[72,4409,4410,4413],{},[32,4411,4412],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[72,4415,4416,4419],{},[32,4417,4418],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[72,4421,4422,4425],{},[32,4423,4424],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[72,4427,4428,4431],{},[32,4429,4430],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[72,4433,4434,4436],{},[32,4435,1255],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[24,4438,1260],{"id":1259},[69,4440,4441,4444,4447,4450,4453,4456,4459,4462],{},[72,4442,4443],{},"✅ 隐私敏感 + 数据零云",[72,4445,4446],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[72,4448,4449],{},"✅ 不愿学 Ollama CLI 的非工程师",[72,4451,4452],{},"✅ 多模型对比决策场景",[72,4454,4455],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[72,4457,4458],{},"❌ 要 mobile 移动主力",[72,4460,4461],{},"❌ 团队协作 + 共享 workspace",[72,4463,4464],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[24,4466,687],{"id":687},[69,4468,4469,4475,4481],{},[72,4470,4471],{},[693,4472,4474],{"href":4473},"\u002Ftools\u002Fcoding\u002Flocal\u002Follama","Ollama 评测",[72,4476,4477],{},[693,4478,4480],{"href":4479},"\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio","LM Studio 评测",[72,4482,4483],{},[693,4484,4486],{"href":4485},"\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui","Open WebUI 评测",[24,4488,1311],{"id":1311},[429,4490,4491,4498,4505,4512],{},[72,4492,4493,4494],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[693,4495,4496],{"href":4496,"rel":4497},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[1321],[72,4499,4500,4501],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[693,4502,4503],{"href":4503,"rel":4504},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[1321],[72,4506,4507,4508],{},"ML Journey — Msty Multi-model Comparison Guide ",[693,4509,4510],{"href":4510,"rel":4511},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[1321],[72,4513,4514,4515],{},"AISO Tools — Msty Pricing 2026 ",[693,4516,4517],{"href":4517,"rel":4518},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[1321],{"title":328,"searchDepth":360,"depth":360,"links":4520},[4521,4522,4523,4524,4525,4526,4527,4528,4529,4530],{"id":839,"depth":350,"text":840},{"id":236,"depth":350,"text":236},{"id":477,"depth":350,"text":477},{"id":4132,"depth":350,"text":4133},{"id":1013,"depth":350,"text":1013},{"id":1039,"depth":350,"text":1039},{"id":1200,"depth":350,"text":1200},{"id":1259,"depth":350,"text":1260},{"id":687,"depth":350,"text":687},{"id":1311,"depth":350,"text":1311},"\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。",[4534,4537,4540,4543],{"q":4535,"a":4536},"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":4538,"a":4539},"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":4541,"a":4542},"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":1368,"a":4544},"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。",[755,1916],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[772,773,771,1919],[4550,4553,4557,4561],{"plan":1501,"price":777,"features":4551,"notes":4552},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":4111,"price":4554,"features":4555,"notes":4556},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":4117,"price":4558,"features":4559,"notes":4560},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":4123,"price":4562,"features":4563,"notes":4564},"$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",[4567],"onboarding\u002Flocal-ai-workstation",{"power":375,"ux":387,"price":387,"cn_support":360,"stability":375},{"title":4007,"description":4532},"agent\u002Fgeneral\u002Fmsty",[4572,4574,4576,4578],{"name":4573,"url":4496,"accessed":1396},"Msty 官网 + Features",{"name":4575,"url":4503,"accessed":1396},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":4577,"url":4510,"accessed":1396},"ML Journey — Msty Local LLM Comparison Guide",{"name":4579,"url":4517,"accessed":1396},"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",[4583,1407,1409,1957,4584],"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","pYe8-1AY_B9q29mUg6iUiAwKrZYTp0knLyC_SqFkJ7Q",{"id":4589,"title":4590,"alternatives":4591,"api_compatible":752,"body":4595,"category":747,"chinese_friendly":375,"cover":5237,"description":5238,"domestic":750,"extension":751,"faq":5239,"free":750,"github":752,"languages":5252,"meta":5253,"models":752,"navigation":762,"notSuitable":752,"opensource":762,"path":5254,"pillar":769,"platforms":5255,"priceTable":5257,"pricing":5261,"published":1388,"relatedPlaybooks":5262,"relatedReviews":752,"score":5264,"self_host":762,"seo":5265,"seoTitle":752,"slug":14,"sources":5266,"stem":5275,"suitable":752,"tagline":5276,"tags":5277,"updated":1396,"verdict":5282,"website":5199,"__hash__":5283},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[4592,4593,4594],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":21,"value":4596,"toc":5225},[4597,4599,4606,4609,4611,4687,4689,4706,4710,4714,4740,4744,4770,4772,4904,4907,4913,4915,5080,5082,5140,5142,5168,5170,5190,5192,5222],[24,4598,840],{"id":839},[28,4600,4601,4602,4605],{},"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（",[330,4603,4604],{},"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。",[28,4607,4608],{},"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）。",[24,4610,236],{"id":236},[69,4612,4613,4621,4627,4633,4639,4645,4651,4657,4663,4669,4675,4681],{},[72,4614,4615,67,4618,4620],{},[32,4616,4617],{},"多 agent orchestration",[330,4619,4604],{}," 编排多个专门 agent 协作",[72,4622,4623,4626],{},[32,4624,4625],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[72,4628,4629,4632],{},[32,4630,4631],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[72,4634,4635,4638],{},[32,4636,4637],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[72,4640,4641,4644],{},[32,4642,4643],{},"OpenManus-RL","：强化学习微调分支",[72,4646,4647,4650],{},[32,4648,4649],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[72,4652,4653,4656],{},[32,4654,4655],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[72,4658,4659,4662],{},[32,4660,4661],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[72,4664,4665,4668],{},[32,4666,4667],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[72,4670,4671,4674],{},[32,4672,4673],{},"Web UI 监控","：实时看 AI thinking process",[72,4676,4677,4680],{},[32,4678,4679],{},"任务可视化","：步骤拆解 + 执行树",[72,4682,4683,4686],{},[32,4684,4685],{},"MIT 协议","：个人 + 商用全免费",[24,4688,477],{"id":477},[69,4690,4691,4697,4700,4703],{},[72,4692,4693,4696],{},[32,4694,4695],{},"Free \u002F OSS","：$0；MIT 协议",[72,4698,4699],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[72,4701,4702],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[72,4704,4705],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[24,4707,4709],{"id":4708},"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）",[28,4711,4712],{},[32,4713,956],{},[69,4715,4716,4719,4722,4725,4728,4731,4734,4737],{},[72,4717,4718],{},"52k stars 印证社区认同度 + 活跃度",[72,4720,4721],{},"MetaGPT 团队背景保证架构质量",[72,4723,4724],{},"多 agent 协作场景比单 agent 实现稳得多",[72,4726,4727],{},"Playwright 浏览器自动化非常完整",[72,4729,4730],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[72,4732,4733],{},"DataAnalysis 内置 agent 模式开箱即用",[72,4735,4736],{},"中文支持自然（Qwen VL Plus 接入）",[72,4738,4739],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[28,4741,4742],{},[32,4743,984],{},[69,4745,4746,4749,4752,4755,4758,4761,4764,4767],{},[72,4747,4748],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[72,4750,4751],{},"文档滞后新功能 1-2 个月",[72,4753,4754],{},"无官方 GUI，监控 UI 在做但不完整",[72,4756,4757],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[72,4759,4760],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[72,4762,4763],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[72,4765,4766],{},"中文 prompt 效果依赖底层模型",[72,4768,4769],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[24,4771,1013],{"id":1013},[323,4773,4775],{"className":325,"code":4774,"language":327,"meta":328,"style":328},"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",[330,4776,4777,4786,4793,4819,4829,4839,4844,4850,4861,4867,4872,4878,4886,4890,4896],{"__ignoreMap":328},[333,4778,4779,4781,4783],{"class":335,"line":336},[333,4780,340],{"class":339},[333,4782,344],{"class":343},[333,4784,4785],{"class":343}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[333,4787,4788,4790],{"class":335,"line":350},[333,4789,354],{"class":353},[333,4791,4792],{"class":343}," OpenManus\n",[333,4794,4795,4798,4800,4803,4806,4810,4813,4816],{"class":335,"line":360},[333,4796,4797],{"class":339},"python3.12",[333,4799,400],{"class":353},[333,4801,4802],{"class":343}," venv",[333,4804,4805],{"class":343}," .venv",[333,4807,4809],{"class":4808},"sVt8B"," && ",[333,4811,4812],{"class":353},"source",[333,4814,4815],{"class":343}," .venv\u002Fbin\u002Factivate",[333,4817,4818],{"class":390},"  # 或 .venv\\Scripts\\activate\n",[333,4820,4821,4823,4825,4827],{"class":335,"line":375},[333,4822,363],{"class":339},[333,4824,366],{"class":343},[333,4826,369],{"class":353},[333,4828,372],{"class":343},[333,4830,4831,4834,4836],{"class":335,"line":387},[333,4832,4833],{"class":339},"playwright",[333,4835,366],{"class":343},[333,4837,4838],{"class":343}," chromium\n",[333,4840,4841],{"class":335,"line":394},[333,4842,4843],{"emptyLinePlaceholder":762},"\n",[333,4845,4847],{"class":335,"line":4846},7,[333,4848,4849],{"class":390},"# 配 LLM API\n",[333,4851,4853,4855,4858],{"class":335,"line":4852},8,[333,4854,378],{"class":339},[333,4856,4857],{"class":343}," config\u002Fconfig.example.toml",[333,4859,4860],{"class":343}," config\u002Fconfig.toml\n",[333,4862,4864],{"class":335,"line":4863},9,[333,4865,4866],{"class":390},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[333,4868,4870],{"class":335,"line":4869},10,[333,4871,4843],{"emptyLinePlaceholder":762},[333,4873,4875],{"class":335,"line":4874},11,[333,4876,4877],{"class":390},"# 单 agent 模式\n",[333,4879,4881,4883],{"class":335,"line":4880},12,[333,4882,397],{"class":339},[333,4884,4885],{"class":343}," main.py\n",[333,4887,4888],{"class":335,"line":8},[333,4889,4843],{"emptyLinePlaceholder":762},[333,4891,4893],{"class":335,"line":4892},14,[333,4894,4895],{"class":390},"# 多 agent 模式\n",[333,4897,4899,4901],{"class":335,"line":4898},15,[333,4900,397],{"class":339},[333,4902,4903],{"class":343}," run_flow.py\n",[28,4905,4906],{},"试任务示例：",[323,4908,4911],{"className":4909,"code":4910,"language":3446},[3444],"> 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",[330,4912,4910],{"__ignoreMap":328},[24,4914,1039],{"id":1039},[142,4916,4917,4934],{},[145,4918,4919],{},[148,4920,4921,4923,4925,4928,4931],{},[151,4922,549],{},[151,4924,4590],{},[151,4926,4927],{},"LangChain",[151,4929,4930],{},"AutoGPT",[151,4932,4933],{},"CrewAI",[158,4935,4936,4952,4966,4978,4993,5006,5020,5034,5051,5064],{},[148,4937,4938,4940,4943,4946,4949],{},[163,4939,1636],{},[163,4941,4942],{},"现成 agent 实现",[163,4944,4945],{},"building blocks",[163,4947,4948],{},"早期通用 agent",[163,4950,4951],{},"多 agent 框架",[148,4953,4954,4957,4960,4962,4964],{},[163,4955,4956],{},"浏览器自动化",[163,4958,4959],{},"✅ Playwright",[163,4961,1148],{},[163,4963,1133],{},[163,4965,1148],{},[148,4967,4968,4970,4972,4974,4976],{},[163,4969,1128],{},[163,4971,176],{},[163,4973,1133],{},[163,4975,1148],{},[163,4977,1148],{},[148,4979,4980,4983,4986,4989,4991],{},[163,4981,4982],{},"多 agent",[163,4984,4985],{},"✅ orchestration",[163,4987,4988],{},"需自搭",[163,4990,569],{},[163,4992,1136],{},[148,4994,4995,4998,5000,5002,5004],{},[163,4996,4997],{},"DataAnalysis 内置",[163,4999,176],{},[163,5001,1148],{},[163,5003,1148],{},[163,5005,1148],{},[148,5007,5008,5011,5014,5016,5018],{},[163,5009,5010],{},"RL 微调",[163,5012,5013],{},"✅ OpenManus-RL",[163,5015,1148],{},[163,5017,1148],{},[163,5019,1148],{},[148,5021,5022,5025,5028,5030,5032],{},[163,5023,5024],{},"协议",[163,5026,5027],{},"MIT",[163,5029,5027],{},[163,5031,5027],{},[163,5033,5027],{},[148,5035,5036,5039,5042,5045,5048],{},[163,5037,5038],{},"Stars",[163,5040,5041],{},"52k+",[163,5043,5044],{},"100k+",[163,5046,5047],{},"170k+",[163,5049,5050],{},"30k+",[148,5052,5053,5055,5057,5060,5062],{},[163,5054,1013],{},[163,5056,2266],{},[163,5058,5059],{},"难",[163,5061,2266],{},[163,5063,2266],{},[148,5065,5066,5068,5071,5074,5077],{},[163,5067,1185],{},[163,5069,5070],{},"自托管 Manus 复刻",[163,5072,5073],{},"底层 framework",[163,5075,5076],{},"学习经典",[163,5078,5079],{},"多 agent 协作",[24,5081,1200],{"id":1200},[69,5083,5084,5090,5100,5106,5112,5118,5124,5130,5134],{},[72,5085,5086,5089],{},[32,5087,5088],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[72,5091,5092,5095,5096,5099],{},[32,5093,5094],{},"Playwright 依赖大","：首次 ",[330,5097,5098],{},"playwright install"," 下 chromium 慢，国内走镜像",[72,5101,5102,5105],{},[32,5103,5104],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[72,5107,5108,5111],{},[32,5109,5110],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[72,5113,5114,5117],{},[32,5115,5116],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[72,5119,5120,5123],{},[32,5121,5122],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[72,5125,5126,5129],{},[32,5127,5128],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[72,5131,5132,1256],{},[32,5133,1255],{},[72,5135,5136,5139],{},[32,5137,5138],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[24,5141,1260],{"id":1259},[69,5143,5144,5147,5150,5153,5156,5159,5162,5165],{},[72,5145,5146],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[72,5148,5149],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[72,5151,5152],{},"✅ 隐私敏感 + 不愿数据上商业云",[72,5154,5155],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[72,5157,5158],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[72,5160,5161],{},"❌ 要 GUI \u002F 上手即用",[72,5163,5164],{},"❌ 生产级稳定（文档滞后 + 演进快）",[72,5166,5167],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[24,5169,687],{"id":687},[69,5171,5172,5178,5184],{},[72,5173,5174],{},[693,5175,5177],{"href":5176},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[72,5179,5180],{},[693,5181,5183],{"href":5182},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[72,5185,5186],{},[693,5187,5189],{"href":5188},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[24,5191,1311],{"id":1311},[429,5193,5194,5201,5208,5215],{},[72,5195,5196,5197],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[693,5198,5199],{"href":5199,"rel":5200},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[1321],[72,5202,5203,5204],{},"Foundation Agents — OpenManus 项目介绍 ",[693,5205,5206],{"href":5206,"rel":5207},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[1321],[72,5209,5210,5211],{},"Toolsverse — OpenManus 评测 + 52k stars ",[693,5212,5213],{"href":5213,"rel":5214},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[1321],[72,5216,5217,5218],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[693,5219,5220],{"href":5220,"rel":5221},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[1321],[722,5223,5224],{},"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":328,"searchDepth":360,"depth":360,"links":5226},[5227,5228,5229,5230,5231,5232,5233,5234,5235,5236],{"id":839,"depth":350,"text":840},{"id":236,"depth":350,"text":236},{"id":477,"depth":350,"text":477},{"id":4708,"depth":350,"text":4709},{"id":1013,"depth":350,"text":1013},{"id":1039,"depth":350,"text":1039},{"id":1200,"depth":350,"text":1200},{"id":1259,"depth":350,"text":1260},{"id":687,"depth":350,"text":687},{"id":1311,"depth":350,"text":1311},"\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。",[5240,5243,5246,5249],{"q":5241,"a":5242},"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":5244,"a":5245},"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":5247,"a":5248},"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":5250,"a":5251},"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。",[755,1915,1916],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[771,772,773,5256],"docker",[5258],{"plan":4695,"price":777,"features":5259,"notes":5260},"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）",[5263],"onboarding\u002Fopen-source-general-agent",{"power":387,"ux":360,"price":387,"cn_support":375,"stability":360},{"title":4590,"description":5238},[5267,5269,5271,5273],{"name":5268,"url":5199,"accessed":1396},"OpenManus GitHub（FoundationAgents 组织）",{"name":5270,"url":5206,"accessed":1396},"Foundation Agents — OpenManus 项目介绍",{"name":5272,"url":5213,"accessed":1396},"Toolsverse — OpenManus 评测 + 52k stars",{"name":5274,"url":5220,"accessed":1396},"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",[819,2508,5278,5279,5280,5281],"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。","12o_oYQnXHBozXE9Vv-Ii6enzsAMPUKrZZHDoUHQ6xM",[],[5286,6019,6681],{"id":5287,"title":557,"alternatives":5288,"api_compatible":752,"body":5291,"category":5972,"chinese_friendly":375,"cover":5973,"description":5974,"domestic":750,"extension":751,"faq":5975,"free":750,"github":752,"languages":5987,"meta":5988,"models":752,"navigation":762,"notSuitable":752,"opensource":762,"path":1301,"pillar":769,"platforms":5989,"priceTable":5991,"pricing":5995,"published":1388,"relatedPlaybooks":5996,"relatedReviews":752,"score":5998,"self_host":762,"seo":5999,"seoTitle":752,"slug":15,"sources":6000,"stem":6009,"suitable":752,"tagline":6010,"tags":6011,"updated":1396,"verdict":6016,"website":6017,"__hash__":6018},"tools\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw.md",[833,5289,5290],"agent\u002Fdesktop\u002Fautoglm","agent\u002Fdesktop\u002Fcrush",{"type":21,"value":5292,"toc":5960},[5293,5295,5298,5301,5303,5369,5371,5385,5389,5393,5416,5420,5446,5448,5607,5610,5642,5644,5813,5815,5877,5879,5905,5907,5925,5927,5957],[24,5294,840],{"id":839},[28,5296,5297],{},"OpenClaw 是 2026 现象级开源个人 AI Agent 框架（MIT 协议）——Peter Steinberger 2025 末创建，2026-02 移交开源基金会，60 天 28-35.5 万 GitHub stars 历史级速度。差异点：Gateway 网关连接 20+ IM 平台（Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书）+ 30 分钟 Heartbeat 主动触发 + Cron 调度 + ClawHub 5400+ Skills 市场 + 多 Agent 隔离 + 本地长期记忆。完全自托管，本地 Ollama 模型零成本运行。",[28,5299,5300],{},"适合：要『手机 IM 一句话支使 AI 干活』的 power user；监控告警 \u002F 定时简报 \u002F 邮件分拣 \u002F 浏览器自动化等 7×24 后台场景；数据隐私敏感 + 自托管刚需；中国大陆用户（本地 Ollama 全免费）。不适合：纯 GUI \u002F 桌面交互党（Claude Desktop 更顺）；不会折腾 Node \u002F Docker \u002F WSL 的纯用户；要『一句话就跑通』的非技术用户。",[24,5302,236],{"id":236},[69,5304,5305,5311,5317,5323,5329,5335,5341,5347,5352,5358,5363],{},[72,5306,5307,5310],{},[32,5308,5309],{},"Gateway 多渠道","：Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F MS Teams \u002F Zalo \u002F 微信 \u002F 钉钉 \u002F 飞书 + WebChat + 移动 node",[72,5312,5313,5316],{},[32,5314,5315],{},"Skills 插件系统","：YAML 描述 + 一键安装 + ClawHub 5400+ 社区市场",[72,5318,5319,5322],{},[32,5320,5321],{},"多 Agent 隔离","：work \u002F personal \u002F test 角色独立记忆 + 任务",[72,5324,5325,5328],{},[32,5326,5327],{},"30 分钟 Heartbeat","：真正 7×24 主动运行",[72,5330,5331,5334],{},[32,5332,5333],{},"Cron 调度","：自然语言生成定时任务，无需写 Cron 表达式",[72,5336,5337,5340],{},[32,5338,5339],{},"本地长期记忆","：~\u002F.openclaw\u002Fmemory\u002Flong-term.json",[72,5342,5343,5346],{},[32,5344,5345],{},"沙箱权限模式","：区分敏感操作权限，避免误操作",[72,5348,5349,5351],{},[32,5350,4661],{},"：GPT \u002F Claude \u002F Gemini \u002F 本地 Ollama \u002F Z.AI \u002F OpenRouter",[72,5353,5354,5357],{},[32,5355,5356],{},"MCP 兼容","：可调用 MCP server",[72,5359,5360,5362],{},[32,5361,1491],{},"：浏览器仪表盘（chat \u002F config \u002F sessions \u002F nodes）",[72,5364,5365,5368],{},[32,5366,5367],{},"macOS app + iOS \u002F Android 移动 node","：跨设备触发",[24,5370,477],{"id":477},[69,5372,5373,5379,5382],{},[72,5374,5375,5378],{},[32,5376,5377],{},"Self-host OSS","：$0；MIT 完全开放",[72,5380,5381],{},"真实成本 = LLM API（GPT \u002F Claude 走 API 计费）或 $0（本地 Ollama）",[72,5383,5384],{},"轻度 $5-10 \u002F 月，中度 $20-30，重度 $50+ —— 全部来自外部 LLM 而非 OpenClaw 本身",[24,5386,5388],{"id":5387},"实测个人-724-监控告警-简报","实测（个人 7×24 + 监控告警 + 简报）",[28,5390,5391],{},[32,5392,956],{},[69,5394,5395,5398,5401,5404,5407,5410,5413],{},[72,5396,5397],{},"IM 一句话支使 AI 体验是真『未来感』，离开电脑也能干活",[72,5399,5400],{},"Heartbeat 让定时任务 + 监控钩子真正后台运行，不靠操作系统 Cron",[72,5402,5403],{},"ClawHub 5400+ Skills 覆盖几乎所有日常需求",[72,5405,5406],{},"多 Agent 隔离让工作 \u002F 生活 prompt 不串",[72,5408,5409],{},"本地 Ollama 路径让数据 + 隐私完全自主",[72,5411,5412],{},"微信 \u002F 钉钉 \u002F 飞书 plugin 让国内用户无网络 \u002F 支付门槛",[72,5414,5415],{},"MIT 协议 + 社区驱动，企业内部部署合规友好",[28,5417,5418],{},[32,5419,984],{},[69,5421,5422,5425,5428,5431,5434,5437,5440,5443],{},[72,5423,5424],{},"Node 24 推荐 \u002F 22 LTS 兜底，Node 18 已经勉强（最新 Skill 偶有兼容问题）",[72,5426,5427],{},"Skill 质量参差，社区 5400+ 里要挑信任作者",[72,5429,5430],{},"国内 IM 渠道（微信 \u002F 钉钉 \u002F 飞书）的 plugin 受平台风控影响，账号风险要评估",[72,5432,5433],{},"多 Agent 隔离的 memory 文件可能膨胀，要定期清理",[72,5435,5436],{},"Heartbeat 频繁触发 LLM 调用会推高 API 费用，预算控制要配 budget cap",[72,5438,5439],{},"Web Control UI 在大量 session 下渲染偏慢",[72,5441,5442],{},"沙箱模式默认权限保守，复杂自动化要手动放权",[72,5444,5445],{},"Windows 纯生兼容差，建议 WSL2 \u002F Docker 路径",[24,5447,1013],{"id":1013},[323,5449,5451],{"className":325,"code":5450,"language":327,"meta":328,"style":328},"# 方法一：NPM\nnpm install -g openclaw\nopenclaw --version\n\n# 方法二：Docker\ndocker run -d --name openclaw \\\n  -v ~\u002F.openclaw:\u002Froot\u002F.openclaw \\\n  openclaw\u002Fopenclaw:latest\n\n# 方法三：源码\ngit clone https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\ncd openclaw && npm install && npm run start\n\n# 引导配置（model \u002F channel \u002F 权限）\nopenclaw onboard\n\n# 启动\nopenclaw                 # CLI\nopenclaw dashboard       # Web UI\n",[330,5452,5453,5458,5471,5479,5483,5488,5507,5517,5522,5526,5531,5540,5561,5565,5570,5577,5582,5588,5596],{"__ignoreMap":328},[333,5454,5455],{"class":335,"line":336},[333,5456,5457],{"class":390},"# 方法一：NPM\n",[333,5459,5460,5463,5465,5468],{"class":335,"line":350},[333,5461,5462],{"class":339},"npm",[333,5464,366],{"class":343},[333,5466,5467],{"class":353}," -g",[333,5469,5470],{"class":343}," openclaw\n",[333,5472,5473,5476],{"class":335,"line":360},[333,5474,5475],{"class":339},"openclaw",[333,5477,5478],{"class":353}," --version\n",[333,5480,5481],{"class":335,"line":375},[333,5482,4843],{"emptyLinePlaceholder":762},[333,5484,5485],{"class":335,"line":387},[333,5486,5487],{"class":390},"# 方法二：Docker\n",[333,5489,5490,5492,5495,5498,5501,5504],{"class":335,"line":394},[333,5491,5256],{"class":339},[333,5493,5494],{"class":343}," run",[333,5496,5497],{"class":353}," -d",[333,5499,5500],{"class":353}," --name",[333,5502,5503],{"class":343}," openclaw",[333,5505,5506],{"class":353}," \\\n",[333,5508,5509,5512,5515],{"class":335,"line":4846},[333,5510,5511],{"class":353},"  -v",[333,5513,5514],{"class":343}," ~\u002F.openclaw:\u002Froot\u002F.openclaw",[333,5516,5506],{"class":353},[333,5518,5519],{"class":335,"line":4852},[333,5520,5521],{"class":343},"  openclaw\u002Fopenclaw:latest\n",[333,5523,5524],{"class":335,"line":4863},[333,5525,4843],{"emptyLinePlaceholder":762},[333,5527,5528],{"class":335,"line":4869},[333,5529,5530],{"class":390},"# 方法三：源码\n",[333,5532,5533,5535,5537],{"class":335,"line":4874},[333,5534,340],{"class":339},[333,5536,344],{"class":343},[333,5538,5539],{"class":343}," https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw.git\n",[333,5541,5542,5544,5546,5548,5550,5552,5554,5556,5558],{"class":335,"line":4880},[333,5543,354],{"class":353},[333,5545,5503],{"class":343},[333,5547,4809],{"class":4808},[333,5549,5462],{"class":339},[333,5551,366],{"class":343},[333,5553,4809],{"class":4808},[333,5555,5462],{"class":339},[333,5557,5494],{"class":343},[333,5559,5560],{"class":343}," start\n",[333,5562,5563],{"class":335,"line":8},[333,5564,4843],{"emptyLinePlaceholder":762},[333,5566,5567],{"class":335,"line":4892},[333,5568,5569],{"class":390},"# 引导配置（model \u002F channel \u002F 权限）\n",[333,5571,5572,5574],{"class":335,"line":4898},[333,5573,5475],{"class":339},[333,5575,5576],{"class":343}," onboard\n",[333,5578,5580],{"class":335,"line":5579},16,[333,5581,4843],{"emptyLinePlaceholder":762},[333,5583,5585],{"class":335,"line":5584},17,[333,5586,5587],{"class":390},"# 启动\n",[333,5589,5591,5593],{"class":335,"line":5590},18,[333,5592,5475],{"class":339},[333,5594,5595],{"class":390},"                 # CLI\n",[333,5597,5599,5601,5604],{"class":335,"line":5598},19,[333,5600,5475],{"class":339},[333,5602,5603],{"class":343}," dashboard",[333,5605,5606],{"class":390},"       # Web UI\n",[28,5608,5609],{},"配本地免费 Ollama：",[323,5611,5613],{"className":325,"code":5612,"language":327,"meta":328,"style":328},"ollama pull llama3\nopenclaw config set ai.provider \"ollama\"\n",[330,5614,5615,5626],{"__ignoreMap":328},[333,5616,5617,5620,5623],{"class":335,"line":336},[333,5618,5619],{"class":339},"ollama",[333,5621,5622],{"class":343}," pull",[333,5624,5625],{"class":343}," llama3\n",[333,5627,5628,5630,5633,5636,5639],{"class":335,"line":350},[333,5629,5475],{"class":339},[333,5631,5632],{"class":343}," config",[333,5634,5635],{"class":343}," set",[333,5637,5638],{"class":343}," ai.provider",[333,5640,5641],{"class":343}," \"ollama\"\n",[24,5643,1039],{"id":1039},[142,5645,5646,5662],{},[145,5647,5648],{},[148,5649,5650,5652,5654,5656,5659],{},[151,5651,549],{},[151,5653,557],{},[151,5655,1055],{},[151,5657,5658],{},"AutoGLM",[151,5660,5661],{},"Crush",[158,5663,5664,5680,5694,5708,5724,5737,5752,5767,5783,5797],{},[148,5665,5666,5668,5671,5674,5677],{},[163,5667,1636],{},[163,5669,5670],{},"IM 网关 + 多 Agent 自治",[163,5672,5673],{},"桌面客户端 + MCP",[163,5675,5676],{},"Phone\u002FWeb GUI agent",[163,5678,5679],{},"终端 TUI agent",[148,5681,5682,5685,5688,5690,5692],{},[163,5683,5684],{},"7×24 Heartbeat",[163,5686,5687],{},"✅ 30 分钟",[163,5689,1148],{},[163,5691,1148],{},[163,5693,1148],{},[148,5695,5696,5699,5702,5704,5706],{},[163,5697,5698],{},"多 IM 渠道",[163,5700,5701],{},"✅ 20+",[163,5703,1148],{},[163,5705,1148],{},[163,5707,1148],{},[148,5709,5710,5713,5716,5719,5721],{},[163,5711,5712],{},"Skills 市场",[163,5714,5715],{},"✅ ClawHub 5400+",[163,5717,5718],{},"✅ MCP Connectors",[163,5720,1148],{},[163,5722,5723],{},"✅ Agent Skills 标准",[148,5725,5726,5728,5730,5732,5734],{},[163,5727,5321],{},[163,5729,176],{},[163,5731,1711],{},[163,5733,1148],{},[163,5735,5736],{},"session",[148,5738,5739,5741,5743,5746,5749],{},[163,5740,564],{},[163,5742,4332],{},[163,5744,5745],{},"闭源",[163,5747,5748],{},"✅ MIT 模型 + Apache 代码",[163,5750,5751],{},"FSL-1.1-MIT",[148,5753,5754,5757,5760,5762,5765],{},[163,5755,5756],{},"本地 LLM",[163,5758,5759],{},"✅ Ollama 友好",[163,5761,1148],{},[163,5763,5764],{},"✅ 9B 自模型",[163,5766,176],{},[148,5768,5769,5772,5775,5778,5780],{},[163,5770,5771],{},"中国大陆友好",[163,5773,5774],{},"✅ 完全",[163,5776,5777],{},"❌ 支付",[163,5779,176],{},[163,5781,5782],{},"✅ 部分",[148,5784,5785,5787,5789,5792,5794],{},[163,5786,1718],{},[163,5788,777],{},[163,5790,5791],{},"$20\u002F月 +",[163,5793,777],{},[163,5795,5796],{},"$0 + API",[148,5798,5799,5801,5804,5807,5810],{},[163,5800,1185],{},[163,5802,5803],{},"7×24 IM 触发个人 agent",[163,5805,5806],{},"MCP 生态桌面",[163,5808,5809],{},"Phone GUI",[163,5811,5812],{},"终端 power user",[24,5814,1200],{"id":1200},[69,5816,5817,5823,5829,5835,5841,5847,5853,5859,5865,5871],{},[72,5818,5819,5822],{},[32,5820,5821],{},"Skill 选型评估","：5400+ Skill 里挑官方 \u002F 高 star \u002F 仔细看 source，沙箱模式优先",[72,5824,5825,5828],{},[32,5826,5827],{},"API 预算控制","：Heartbeat + 多 Agent 会放大 LLM 费用，配 budget cap 或本地 Ollama",[72,5830,5831,5834],{},[32,5832,5833],{},"国内 IM 风控","：微信 \u002F 钉钉账号要用独立小号，避免主账号被风控",[72,5836,5837,5840],{},[32,5838,5839],{},"memory 膨胀","：长期记忆 JSON 文件定期归档 \u002F 清理",[72,5842,5843,5846],{},[32,5844,5845],{},"Node 版本","：Node 24 推荐，Node 18 部分新 Skill 不兼容",[72,5848,5849,5852],{},[32,5850,5851],{},"sandbox 权限默认保守","：复杂自动化要在 onboard 阶段调整权限，不要一上来全 root",[72,5854,5855,5858],{},[32,5856,5857],{},"数据备份","：~\u002F.openclaw 含所有记忆 + 配置，定期备份",[72,5860,5861,5864],{},[32,5862,5863],{},"Windows 走 WSL2","：原生 Windows 兼容差",[72,5866,5867,5870],{},[32,5868,5869],{},"MCP 复用","：内部 MCP server 可直接调用，不要重复造轮",[72,5872,5873,5876],{},[32,5874,5875],{},"Heartbeat 间隔自定义","：默认 30 分钟，做高频监控可调短，但成本对应增加",[24,5878,1260],{"id":1259},[69,5880,5881,5884,5887,5890,5893,5896,5899,5902],{},[72,5882,5883],{},"✅ 想从 IM 一句话支使 AI 7×24 干活的 power user",[72,5885,5886],{},"✅ 监控 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘 \u002F 智能家居",[72,5888,5889],{},"✅ 数据隐私敏感 + 自托管刚需",[72,5891,5892],{},"✅ 中国大陆用户走本地 Ollama 全免费",[72,5894,5895],{},"❌ 纯 GUI \u002F 桌面交互党（用 Claude Desktop）",[72,5897,5898],{},"❌ 不会折腾 Node \u002F Docker \u002F WSL",[72,5900,5901],{},"❌ 要一键就跑的非技术用户",[72,5903,5904],{},"❌ 高强度多 Agent 同时跑 + 预算极紧（API 费会膨胀）",[24,5906,687],{"id":687},[69,5908,5909,5913,5919],{},[72,5910,5911],{},[693,5912,1296],{"href":1295},[72,5914,5915],{},[693,5916,5918],{"href":5917},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fautoglm","AutoGLM 评测",[72,5920,5921],{},[693,5922,5924],{"href":5923},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fcrush","Crush 评测",[24,5926,1311],{"id":1311},[429,5928,5929,5936,5943,5950],{},[72,5930,5931,5932],{},"OpenClaw 官方文档（架构 \u002F Gateway \u002F 渠道 \u002F Heartbeat）",[693,5933,5934],{"href":5934,"rel":5935},"https:\u002F\u002Fdocs.openclaw.ai\u002F",[1321],[72,5937,5938,5939],{},"技术栈 — OpenClaw 2026 实战指南 ",[693,5940,5941],{"href":5941,"rel":5942},"https:\u002F\u002Fjishuzhan.net\u002Farticle\u002F2058753885218062337",[1321],[72,5944,5945,5946],{},"CSDN — OpenClaw 完全指南（35.5 万 stars \u002F Heartbeat \u002F 多 Agent）",[693,5947,5948],{"href":5948,"rel":5949},"https:\u002F\u002Fblog.csdn.net\u002Fweixin_58240054\u002Farticle\u002Fdetails\u002F161197395",[1321],[72,5951,5952,5953],{},"腾讯云 — OpenClaw 爆火 + Computer Use Agent 分析 ",[693,5954,5955],{"href":5955,"rel":5956},"https:\u002F\u002Fcloud.tencent.com\u002Fdeveloper\u002Farticle\u002F2637863",[1321],[722,5958,5959],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}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 .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":328,"searchDepth":360,"depth":360,"links":5961},[5962,5963,5964,5965,5966,5967,5968,5969,5970,5971],{"id":839,"depth":350,"text":840},{"id":236,"depth":350,"text":236},{"id":477,"depth":350,"text":477},{"id":5387,"depth":350,"text":5388},{"id":1013,"depth":350,"text":1013},{"id":1039,"depth":350,"text":1039},{"id":1200,"depth":350,"text":1200},{"id":1259,"depth":350,"text":1260},{"id":687,"depth":350,"text":687},{"id":1311,"depth":350,"text":1311},"desktop","\u002Fimg\u002Ftools\u002Fopenclaw.webp","OpenClaw 真实评测：原名 Clawdbot \u002F Moltbot，Peter Steinberger 2025 末创建，2026-02 移交开源基金会。60 天 28-35.5 万 GitHub stars，超 React 历史速度。MIT 协议自托管 Gateway 连接 Discord \u002F Slack \u002F Telegram \u002F WhatsApp \u002F iMessage \u002F Matrix \u002F Signal \u002F Microsoft Teams \u002F Zalo 等 20+ IM 平台。Heartbeat 30 分钟主动触发 + Cron + Skills（ClawHub 5400+）+ 多 Agent 隔离 + 本地长期记忆。Node 24（推荐）或 22 LTS。",[5976,5979,5982,5985],{"q":5977,"a":5978},"OpenClaw 和 Claude Desktop \u002F MCP 怎么定位？","Claude Desktop 是『桌面客户端 + MCP 工具栈』走 GUI 交互；OpenClaw 是『IM 网关 + 多 Agent + 主动 Heartbeat』走聊天 + 后台自治。两者互补：在电脑前要 GUI 体验用 Claude Desktop；离开电脑要 Telegram \u002F 微信里支使 AI 7×24 干活用 OpenClaw。OpenClaw 内部也可调用 MCP server 和 LLM provider。",{"q":5980,"a":5981},"Heartbeat 是什么？","每 30 分钟由 Gateway 主动唤醒 Agent，检查 Cron \u002F 任务队列 \u002F 监控钩子，让 AI 真正『7×24 后台运行』而非被动等用户。监控告警 \u002F 定时简报 \u002F 邮件分拣 \u002F 行情盯盘等场景靠 Heartbeat 实现。",{"q":5983,"a":5984},"ClawHub 是什么？","OpenClaw 社区驱动的 Skills 市场，2026-05 已突破 5400 个 Skill：天气 \u002F 邮件分拣 \u002F 网页采集 \u002F 浏览器自动化 \u002F 文件整理 \u002F 多平台消息 \u002F 加密货币 \u002F 智能家居 \u002F CRM 集成等。Skill 用 YAML \u002F Markdown 描述，一键安装 + 自定义 prompt 即可。",{"q":1368,"a":5986},"完全可以。OpenClaw 自托管 + MIT 开源 + 本地 Ollama 模型路径全免费 + 无外网 \u002F 海外卡依赖。微信 \u002F 钉钉 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Heartbeat",[819,6012,6013,5279,2508,6014,6015,5475],"self-host","gateway","im-bot","mit","2026 最火个人 AI Agent——『IM 触发 + 7×24 主动 + 本地控制』三件套。要从 Telegram \u002F 微信 \u002F Discord 一句话支使 AI 干活的 power user 首选。GUI 党 \u002F 非工程师仍推 Claude 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