[{"data":1,"prerenderedAt":4701},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fagent\u002Fgeneral\u002Fmanus":9,"tool-stats-agent\u002Fgeneral\u002Fmanus":1038,"cat-rank-agent-general":1041,"tool-related-agent\u002Fgeneral\u002Fmanus":4700},{"tools":4,"reviews":5},65,7,{"tools":4,"reviews":5,"playbooks":7,"news":8},10,8,{"id":10,"title":11,"alternatives":12,"api_compatible":17,"body":18,"category":953,"chinese_friendly":954,"cover":955,"description":956,"domestic":957,"extension":958,"faq":959,"free":957,"github":959,"languages":960,"meta":963,"models":964,"navigation":969,"notSuitable":970,"opensource":957,"path":975,"pillar":976,"platforms":977,"priceTable":982,"pricing":998,"published":999,"relatedPlaybooks":959,"relatedReviews":959,"score":1000,"self_host":957,"seo":1002,"slug":1003,"sources":1004,"stem":1020,"suitable":1021,"tagline":1027,"tags":1028,"updated":1035,"verdict":1036,"website":427,"__hash__":1037},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[13,14,15,16],"agent\u002Fgeneral\u002Fgenspark","agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":19,"value":20,"toc":931},"minimark",[21,26,68,74,77,143,146,151,159,164,171,175,183,255,260,264,271,275,283,288,305,308,311,314,321,324,330,391,397,404,409,415,419,466,469,509,512,687,692,709,714,734,737,803,807,810,827,830,851,854,904,907,924],[22,23,25],"h2",{"id":24},"tldr","TL;DR",[27,28,33,53],"div",{"className":29},[30,31,32],"card","p-5","my-4",[34,35,36,40,41,44,45,52],"p",{},[37,38,39],"strong",{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[37,42,43],{},"邀请码一度被炒到 ¥5 万-10 万","（",[46,47,51],"a",{"href":48,"rel":49},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[50],"nofollow","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。",[34,54,55,56,44,59,63,64,67],{},"2025-12 传被 ",[37,57,58],{},"Meta 以约 20-30 亿美元收购",[46,60,62],{"href":48,"rel":61},[50],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[37,65,66],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[69,70,71],"blockquote",{},[34,72,73],{},"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。",[22,75,76],{"id":76},"背景与公司",[78,79,80,92,98,104,110,121,131,137],"ul",{},[81,82,83,86,87,91],"li",{},[37,84,85],{},"公司","：Butterfly Effect Pte. Ltd.（",[46,88,90],{"href":48,"rel":89},[50],"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）",[81,93,94,97],{},[37,95,96],{},"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）",[81,99,100,103],{},[37,101,102],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[81,105,106,109],{},[37,107,108],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[81,111,112,115,116,120],{},[37,113,114],{},"Manus 启动","：2024-10 立项，灵感来自 ",[46,117,119],{"href":118},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[81,122,123,126,127],{},[37,124,125],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[46,128,130],{"href":48,"rel":129},[50],"Demo 视频 20 小时百万播放",[81,132,133,136],{},[37,134,135],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[81,138,139,142],{},[37,140,141],{},"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",[22,144,145],{"id":145},"核心特性",[147,148,150],"h3",{"id":149},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[34,152,153,158],{},[46,154,157],{"href":155,"rel":156},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[50],"Pick Right 2026-04 评测"," 描述的架构：",[69,160,161],{},[34,162,163],{},"\"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.\"",[34,165,166,167,170],{},"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 ",[37,168,169],{},"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。",[147,172,174],{"id":173},"通用-agent-模式","通用 Agent 模式",[34,176,177,182],{},[46,178,181],{"href":179,"rel":180},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[50],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[184,185,186,199],"table",{},[187,188,189],"thead",{},[190,191,192,196],"tr",{},[193,194,195],"th",{},"模型",[193,197,198],{},"GAIA 准确率",[200,201,202,215,223,231,239,247],"tbody",{},[190,203,204,210],{},[205,206,207],"td",{},[37,208,209],{},"Manus AI",[205,211,212],{},[37,213,214],{},">65%（SOTA）",[190,216,217,220],{},[205,218,219],{},"H2O.ai (h2oGPTe)",[205,221,222],{},"65%",[190,224,225,228],{},[205,226,227],{},"Google Langfun",[205,229,230],{},"49%",[190,232,233,236],{},[205,234,235],{},"Microsoft o1",[205,237,238],{},"38%",[190,240,241,244],{},[205,242,243],{},"OpenAI GPT-4o",[205,245,246],{},"32%",[190,248,249,252],{},[205,250,251],{},"OpenAI GPT-4 + Plugins",[205,253,254],{},"15-30%",[69,256,257],{},[34,258,259],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[147,261,263],{"id":262},"后台执行-长任务","后台执行 + 长任务",[34,265,266,267,270],{},"最特别的体验：任务下达后",[37,268,269],{},"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。",[147,272,274],{"id":273},"web-app-builder","Web App Builder",[34,276,277,278,282],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[46,279,281],{"href":155,"rel":280},[50],"Pick Right 评测"," 直白警告：",[69,284,285],{},[34,286,287],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[34,289,290,291,295,296,295,300,304],{},"复杂场景下出 bug 多，目前不建议生产部署，",[46,292,294],{"href":293},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[46,297,299],{"href":298},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[46,301,303],{"href":302},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[147,306,307],{"id":307},"桌面应用",[34,309,310],{},"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。",[147,312,313],{"id":313},"多模型路由",[34,315,316,317,320],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[37,318,319],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[22,322,323],{"id":323},"价格与运行成本",[34,325,326,329],{},[46,327,281],{"href":155,"rel":328},[50]," 公开档位：",[184,331,332,345],{},[187,333,334],{},[190,335,336,339,342],{},[193,337,338],{},"档位",[193,340,341],{},"价格",[193,343,344],{},"关键点",[200,346,347,358,369,380],{},[190,348,349,352,355],{},[205,350,351],{},"Free",[205,353,354],{},"$0",[205,356,357],{},"每日有限 credits，够 1 个高强度任务\u002F天",[190,359,360,363,366],{},[205,361,362],{},"Pro",[205,364,365],{},"$20\u002F月",[205,367,368],{},"大多数付费用户落点；中等 credit + 多模型",[190,370,371,374,377],{},[205,372,373],{},"Plus",[205,375,376],{},"$50\u002F月",[205,378,379],{},"更高 credit + 优先队列，10+ 任务\u002F周",[190,381,382,385,388],{},[205,383,384],{},"Pro+ \u002F Team",[205,386,387],{},"最高 $200\u002F月",[205,389,390],{},"最大 credit + 团队空间（功能仍有限）",[34,392,393,396],{},[37,394,395],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[34,398,399,403],{},[46,400,402],{"href":155,"rel":401},[50],"Pick Right 真实使用反馈","：",[69,405,406],{},[34,407,408],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[34,410,411,414],{},[37,412,413],{},"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。",[22,416,418],{"id":417},"上手-5-分钟","上手 5 分钟",[420,421,422,430,433,451,454,460,463],"ol",{},[81,423,424,425],{},"打开 ",[46,426,429],{"href":427,"rel":428},"https:\u002F\u002Fmanus.im",[50],"manus.im",[81,431,432],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[81,434,435,436,439,440],{},"给一个完整任务描述（",[37,437,438],{},"关键","：不要碎片化指令，给全场景）\n",[441,442,447],"pre",{"className":443,"code":445,"language":446},[444],"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",[448,449,445],"code",{"__ignoreMap":450},"",[81,452,453],{},"选模型路由（Auto 推荐）",[81,455,456,457,459],{},"提交后",[37,458,269],{},"——任务在云端跑",[81,461,462],{},"完成后邮件 \u002F 站内通知",[81,464,465],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[22,467,468],{"id":468},"国内使用注意事项",[420,470,471,481,487,493],{},[81,472,473,403,476,480],{},[37,474,475],{},"大陆访问被屏蔽",[46,477,479],{"href":48,"rel":478},[50],"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",[81,482,483,486],{},[37,484,485],{},"访问需稳定代理","：日韩 \u002F 美国节点",[81,488,489,492],{},[37,490,491],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[81,494,495,498,499,503,504,508],{},[37,496,497],{},"替代路径","：国内可考虑 ",[46,500,502],{"href":501},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark"," \u002F Devv \u002F ",[46,505,507],{"href":506},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[22,510,511],{"id":511},"与同类怎么选",[184,513,514,539],{},[187,515,516],{},[190,517,518,521,523,529,533,536],{},[193,519,520],{},"维度",[193,522,11],{},[193,524,525],{},[46,526,528],{"href":527},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[193,530,531],{},[46,532,502],{"href":501},[193,534,535],{},"ChatGPT Deep Research",[193,537,538],{},"GenAgent",[200,540,541,561,581,600,615,632,649,667],{},[190,542,543,546,549,552,555,558],{},[205,544,545],{},"核心定位",[205,547,548],{},"通用 Agent",[205,550,551],{},"AI 程序员",[205,553,554],{},"AI 搜索 + Agent",[205,556,557],{},"LLM Deep Research",[205,559,560],{},"通用",[190,562,563,566,569,572,575,578],{},[205,564,565],{},"架构",[205,567,568],{},"多 sub-agent 并行",[205,570,571],{},"单 Agent + 沙盒",[205,573,574],{},"多模型",[205,576,577],{},"单模型",[205,579,580],{},"—",[190,582,583,586,589,592,595,598],{},[205,584,585],{},"长任务",[205,587,588],{},"★★★★★ 小时级",[205,590,591],{},"★★★★★",[205,593,594],{},"★★★☆☆",[205,596,597],{},"★★★★☆",[205,599,594],{},[190,601,602,605,607,609,611,613],{},[205,603,604],{},"引用密度",[205,606,591],{},[205,608,594],{},[205,610,597],{},[205,612,594],{},[205,614,594],{},[190,616,617,620,623,626,628,630],{},[205,618,619],{},"App Builder",[205,621,622],{},"⚠️ 有但 buggy",[205,624,625],{},"❌",[205,627,625],{},[205,629,625],{},[205,631,625],{},[190,633,634,637,640,643,645,647],{},[205,635,636],{},"中文",[205,638,639],{},"⚠️ 大陆屏蔽",[205,641,642],{},"⚠️",[205,644,591],{},[205,646,642],{},[205,648,597],{},[190,650,651,653,656,659,662,665],{},[205,652,341],{},[205,654,655],{},"$20-$200",[205,657,658],{},"$500\u002F月",[205,660,661],{},"$24.99\u002F月",[205,663,664],{},"随 ChatGPT Plus",[205,666,580],{},[190,668,669,672,675,678,681,684],{},[205,670,671],{},"适合场景",[205,673,674],{},"research \u002F 数据分析",[205,676,677],{},"写代码 \u002F 修 bug",[205,679,680],{},"信息检索",[205,682,683],{},"单次深度研究",[205,685,686],{},"综合",[34,688,689,403],{},[37,690,691],{},"选 Manus 如果你",[78,693,694,700,703,706],{},[81,695,696,697],{},"重视 research \u002F 数据分析任务的 ",[37,698,699],{},"引用密度和结构化输出",[81,701,702],{},"想试\"开任务下班、明早看结果\"的工作流",[81,704,705],{},"海外 \u002F 能解决账号网络问题",[81,707,708],{},"预算 $20-$50\u002F月，重度用户",[34,710,711,403],{},[37,712,713],{},"别选 Manus 如果你",[78,715,716,725,728,731],{},[81,717,718,719,295,721,724],{},"国内裸用（",[46,720,502],{"href":501},[46,722,723],{"href":506},"Yuanbao"," 更顺）",[81,726,727],{},"想生产部署 App（Web App Builder bug 多）",[81,729,730],{},"团队协作场景（功能不完善）",[81,732,733],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[22,735,736],{"id":736},"避坑清单",[78,738,739,745,755,761,767,779,785,791],{},[81,740,741,744],{},[37,742,743],{},"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",[81,746,747,403,750,754],{},[37,748,749],{},"credit 烧得比官方页面暗示的快",[46,751,753],{"href":155,"rel":752},[50],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[81,756,757,760],{},[37,758,759],{},"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",[81,762,763,766],{},[37,764,765],{},"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",[81,768,769,772,773,778],{},[37,770,771],{},"每次任务从零开始","：没有持久 workspace，不像 ",[46,774,777],{"href":775,"rel":776},"https:\u002F\u002Fclaude.com",[50],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[81,780,781,784],{},[37,782,783],{},"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",[81,786,787,790],{},[37,788,789],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[81,792,793,796,797,802],{},[37,794,795],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[46,798,801],{"href":799,"rel":800},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[50],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[22,804,806],{"id":805},"适合-不适合","适合 \u002F 不适合",[34,808,809],{},"✅ 适合：",[78,811,812,815,818,821,824],{},[81,813,814],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[81,816,817],{},"CSV \u002F Excel 重的数据分析任务",[81,819,820],{},"长任务 + 不想盯着看（小时级）",[81,822,823],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[81,825,826],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[34,828,829],{},"❌ 不适合：",[78,831,832,835,838,841,844],{},[81,833,834],{},"生产级应用部署",[81,836,837],{},"团队协作工作流",[81,839,840],{},"预算极敏感（free 档非常受限）",[81,842,843],{},"大陆稳定访问需求",[81,845,846,847,850],{},"需要深度持久上下文（用 ",[46,848,777],{"href":775,"rel":849},[50]," \u002F ChatGPT Custom GPT 等）",[22,852,853],{"id":853},"相关阅读",[78,855,856,867,878,893],{},[81,857,858,859,295,861,863,864,866],{},"同类对比：",[46,860,528],{"href":527},[46,862,502],{"href":501}," \u002F Elicit \u002F ",[46,865,723],{"href":506}," \u002F Metaso",[81,868,869,870,295,874,877],{},"概念：",[46,871,873],{"href":872},"\u002Fwiki\u002Fai-agent.html","AI Agent",[46,875,876],{"href":872},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[81,879,880,881,295,885,295,889],{},"模型：",[46,882,884],{"href":883},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[46,886,888],{"href":887},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[46,890,892],{"href":891},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[81,894,895,896,295,900],{},"进阶：",[46,897,899],{"href":898},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[46,901,903],{"href":902},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[22,905,906],{"id":906},"来源",[78,908,909,915,918,921],{},[81,910,911,912],{},"官网：",[46,913,427],{"href":427,"rel":914},[50],[81,916,917],{},"Wikipedia：\"Manus (AI agent)\" 条目",[81,919,920],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[81,922,923],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[34,925,926,927,930],{},"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 ",[46,928,929],{"href":929},"\u002Fsubmit"," 反馈。",{"title":450,"searchDepth":932,"depth":932,"links":933},3,[934,936,937,945,946,947,948,949,950,951,952],{"id":24,"depth":935,"text":25},2,{"id":76,"depth":935,"text":76},{"id":145,"depth":935,"text":145,"children":938},[939,940,941,942,943,944],{"id":149,"depth":932,"text":150},{"id":173,"depth":932,"text":174},{"id":262,"depth":932,"text":263},{"id":273,"depth":932,"text":274},{"id":307,"depth":932,"text":307},{"id":313,"depth":932,"text":313},{"id":323,"depth":935,"text":323},{"id":417,"depth":935,"text":418},{"id":468,"depth":935,"text":468},{"id":511,"depth":935,"text":511},{"id":736,"depth":935,"text":736},{"id":805,"depth":935,"text":806},{"id":853,"depth":935,"text":853},{"id":906,"depth":935,"text":906},"general",4,"\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。",false,"md",null,[961,962],"zh","en",{},[965,966,967,968],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",true,[971,972,973,974],"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","agent",[978,979,980,981],"web","windows","macos","linux",[983,986,990,993],{"plan":351,"price":354,"limit":984,"cn_pay":580,"note":985},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":362,"price":365,"limit":987,"cn_pay":988,"note":989},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":373,"price":376,"limit":991,"cn_pay":642,"note":992},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":994,"price":995,"limit":996,"cn_pay":642,"note":997},"Pro+\u002FTeam","$200\u002F月","最大 credit + 团队工作空间（功能受限）","团队功能仍有限","Free \u002F Pro $20\u002Fmo \u002F Plus $50\u002Fmo \u002F Pro+ Team 最高 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体感天花板，自主完成复杂多步骤任务",[1029,1030,1031,1032,1033,1034],"general-agent","autonomous","computer-use","multi-agent","butterfly-effect","monica","2026-06-24","通用 Agent 体感天花板代表。多 sub-agent 并行 + 自动模型路由让 research \u002F 数据分析输出明显比 ChatGPT Deep Research 引用密度更高。慢、credit 烧得快、Web App Builder 仍有 bug，但任务跑通时确实让人惊艳。","O4Blta1lc6gHSQ-IjoJnM1VUjXgL-Ctf1CslTb_4O08",{"ok":969,"slug":1039,"viewCount":1040,"clickCount":1040,"avgRating":1040,"ratingCount":1040},"agent%2Fgeneral%2Fmanus",0,[1042,1627,2174,2729,3389,3978],{"id":1043,"title":1044,"alternatives":1045,"api_compatible":959,"body":1055,"category":953,"chinese_friendly":932,"cover":1567,"description":1568,"domestic":957,"extension":958,"faq":1569,"free":957,"github":959,"languages":1582,"meta":1583,"models":959,"navigation":969,"notSuitable":959,"opensource":957,"path":1584,"pillar":976,"platforms":1585,"priceTable":1586,"pricing":1599,"published":1600,"relatedPlaybooks":1601,"relatedReviews":959,"score":1605,"self_host":957,"seo":1606,"slug":1607,"sources":1608,"stem":1616,"suitable":959,"tagline":1617,"tags":1618,"updated":1035,"verdict":1624,"website":1625,"__hash__":1626},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[1046,1049,1052],{"name":1047,"url":1048},"claude-desktop","\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop",{"name":1050,"url":1051},"openclaw","\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw",{"name":1053,"url":1054},"flowith","\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith",{"type":19,"value":1056,"toc":1555},[1057,1059,1062,1065,1068,1136,1138,1161,1166,1170,1175,1198,1203,1229,1232,1255,1258,1417,1420,1476,1478,1504,1506,1523,1525],[22,1058,25],{"id":24},[34,1060,1061],{},"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。",[34,1063,1064],{},"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。",[22,1066,1067],{"id":1067},"核心能力",[78,1069,1070,1076,1082,1088,1094,1100,1106,1112,1118,1124,1130],{},[81,1071,1072,1075],{},[37,1073,1074],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[81,1077,1078,1081],{},[37,1079,1080],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[81,1083,1084,1087],{},[37,1085,1086],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[81,1089,1090,1093],{},[37,1091,1092],{},"200+ Skills","：power user 社区贡献的能力包",[81,1095,1096,1099],{},[37,1097,1098],{},"MCP 集成","：可调用 MCP server 工具",[81,1101,1102,1105],{},[37,1103,1104],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[81,1107,1108,1111],{},[37,1109,1110],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[81,1113,1114,1117],{},[37,1115,1116],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[81,1119,1120,1123],{},[37,1121,1122],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[81,1125,1126,1129],{},[37,1127,1128],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[81,1131,1132,1135],{},[37,1133,1134],{},"3 周免费试用","：体验完整再决策",[22,1137,341],{"id":341},[78,1139,1140,1146,1152,1158],{},[81,1141,1142,1145],{},[37,1143,1144],{},"Free Trial","：3 周完整功能，无信用卡",[81,1147,1148,1151],{},[37,1149,1150],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[81,1153,1154,1157],{},[37,1155,1156],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[81,1159,1160],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[69,1162,1163],{},[34,1164,1165],{},"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。",[22,1167,1169],{"id":1168},"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）",[34,1171,1172],{},[37,1173,1174],{},"亮点：",[78,1176,1177,1180,1183,1186,1189,1192,1195],{},[81,1178,1179],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[81,1181,1182],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[81,1184,1185],{},"50+ Assistants 节省 prompt engineering 时间",[81,1187,1188],{},"数据本地 + 无 telemetry，隐私党非常友好",[81,1190,1191],{},"一次买断 vs 多家月费的累计性价比高",[81,1193,1194],{},"BYO API 让账单透明，不会有平台抽成",[81,1196,1197],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[34,1199,1200],{},[37,1201,1202],{},"踩坑：",[78,1204,1205,1208,1211,1214,1217,1220,1223,1226],{},[81,1206,1207],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[81,1209,1210],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[81,1212,1213],{},"移动端缺失，出门用不上",[81,1215,1216],{},"Linux 版本更新偶尔比 macOS 慢",[81,1218,1219],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[81,1221,1222],{},"50+ Assistants 质量参差，要挑高赞的用",[81,1224,1225],{},"团队协作 \u002F 云同步不是产品重点",[81,1227,1228],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[22,1230,1231],{"id":1231},"上手",[420,1233,1234,1237,1240,1243,1246,1249,1252],{},[81,1235,1236],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[81,1238,1239],{},"启动 → 3 周免费试用激活",[81,1241,1242],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[81,1244,1245],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[81,1247,1248],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[81,1250,1251],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[81,1253,1254],{},"满意后选 Personal $59 \u002F Business $99 买断",[22,1256,1257],{"id":1257},"对比",[184,1259,1260,1277],{},[187,1261,1262],{},[190,1263,1264,1266,1268,1271,1274],{},[193,1265,520],{},[193,1267,1044],{},[193,1269,1270],{},"Raycast AI",[193,1272,1273],{},"Claude Desktop",[193,1275,1276],{},"ChatGPT Desktop",[200,1278,1279,1295,1312,1327,1342,1357,1371,1387,1400],{},[190,1280,1281,1284,1287,1290,1293],{},[205,1282,1283],{},"全局 hotkey",[205,1285,1286],{},"✅ 顶级",[205,1288,1289],{},"✅ Raycast",[205,1291,1292],{},"弱",[205,1294,1292],{},[190,1296,1297,1300,1303,1306,1309],{},[205,1298,1299],{},"BYO API",[205,1301,1302],{},"✅",[205,1304,1305],{},"❌ 内置",[205,1307,1308],{},"❌ Anthropic",[205,1310,1311],{},"❌ OpenAI",[190,1313,1314,1317,1320,1323,1325],{},[205,1315,1316],{},"一次买断",[205,1318,1319],{},"✅ $59-99",[205,1321,1322],{},"$10\u002F月",[205,1324,365],{},[205,1326,365],{},[190,1328,1329,1332,1334,1336,1339],{},[205,1330,1331],{},"多模型一窗",[205,1333,1302],{},[205,1335,1302],{},[205,1337,1338],{},"Claude only",[205,1340,1341],{},"OpenAI only",[190,1343,1344,1347,1349,1352,1355],{},[205,1345,1346],{},"MCP",[205,1348,1302],{},[205,1350,1351],{},"部分",[205,1353,1354],{},"✅ 旗舰",[205,1356,1351],{},[190,1358,1359,1361,1364,1367,1369],{},[205,1360,1116],{},[205,1362,1363],{},"✅ 零云",[205,1365,1366],{},"–",[205,1368,1366],{},[205,1370,1366],{},[190,1372,1373,1376,1379,1382,1384],{},[205,1374,1375],{},"平台",[205,1377,1378],{},"macOS\u002FWin\u002FLinux",[205,1380,1381],{},"macOS only",[205,1383,1378],{},[205,1385,1386],{},"macOS\u002FWin",[190,1388,1389,1392,1394,1396,1398],{},[205,1390,1391],{},"移动端",[205,1393,625],{},[205,1395,625],{},[205,1397,1366],{},[205,1399,1302],{},[190,1401,1402,1405,1408,1411,1414],{},[205,1403,1404],{},"适合",[205,1406,1407],{},"全局 AI + 多模型 + 买断",[205,1409,1410],{},"Mac 启动器 + AI",[205,1412,1413],{},"MCP 生态",[205,1415,1416],{},"OpenAI 全家桶",[22,1418,1419],{"id":1419},"避坑",[78,1421,1422,1428,1434,1440,1446,1452,1458,1464,1470],{},[81,1423,1424,1427],{},[37,1425,1426],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[81,1429,1430,1433],{},[37,1431,1432],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[81,1435,1436,1439],{},[37,1437,1438],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[81,1441,1442,1445],{},[37,1443,1444],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[81,1447,1448,1451],{},[37,1449,1450],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[81,1453,1454,1457],{},[37,1455,1456],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[81,1459,1460,1463],{},[37,1461,1462],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[81,1465,1466,1469],{},[37,1467,1468],{},"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",[81,1471,1472,1475],{},[37,1473,1474],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[22,1477,806],{"id":805},[78,1479,1480,1483,1486,1489,1492,1495,1498,1501],{},[81,1481,1482],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[81,1484,1485],{},"✅ 多模型用户不想被单 vendor 锁定",[81,1487,1488],{},"✅ 隐私敏感 + 数据全本地",[81,1490,1491],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[81,1493,1494],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[81,1496,1497],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[81,1499,1500],{},"❌ 不想管理 API Key 的纯用户",[81,1502,1503],{},"❌ 中国大陆海外卡 + API 不可得",[22,1505,853],{"id":853},[78,1507,1508,1513,1518],{},[81,1509,1510],{},[46,1511,1512],{"href":1048},"Claude Desktop 评测",[81,1514,1515],{},[46,1516,1517],{"href":1051},"OpenClaw 评测",[81,1519,1520],{},[46,1521,1522],{"href":1054},"Flowith 评测",[22,1524,906],{"id":906},[420,1526,1527,1534,1541,1548],{},[81,1528,1529,1530],{},"Alice 官网（heyalice.app）",[46,1531,1532],{"href":1532,"rel":1533},"https:\u002F\u002Fheyalice.app\u002F",[50],[81,1535,1536,1537],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[46,1538,1539],{"href":1539,"rel":1540},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[50],[81,1542,1543,1544],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[46,1545,1546],{"href":1546,"rel":1547},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[50],[81,1549,1550,1551],{},"Skywork — Alice AI Ultimate 2026 Guide ",[46,1552,1553],{"href":1553,"rel":1554},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[50],{"title":450,"searchDepth":932,"depth":932,"links":1556},[1557,1558,1559,1560,1561,1562,1563,1564,1565,1566],{"id":24,"depth":935,"text":25},{"id":1067,"depth":935,"text":1067},{"id":341,"depth":935,"text":341},{"id":1168,"depth":935,"text":1169},{"id":1231,"depth":935,"text":1231},{"id":1257,"depth":935,"text":1257},{"id":1419,"depth":935,"text":1419},{"id":805,"depth":935,"text":806},{"id":853,"depth":935,"text":853},{"id":906,"depth":935,"text":906},"\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。",[1570,1573,1576,1579],{"q":1571,"a":1572},"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":1574,"a":1575},"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":1577,"a":1578},"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":1580,"a":1581},"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。",[962],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",[980,979,981],[1587,1591,1595],{"plan":1144,"price":1588,"features":1589,"notes":1590},"$0 · 3 周","完整功能体验","无信用卡",{"plan":1150,"price":1592,"features":1593,"notes":1594},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":1156,"price":1596,"features":1597,"notes":1598},"~$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",[1602],{"name":1603,"url":1604},"macOS 全局 AI 工作流","\u002Fplaybook\u002Fonboarding\u002Fmacos-global-ai-workflow",{"power":954,"ux":1001,"price":954,"cn_support":932,"stability":954},{"title":1044,"description":1568},"agent\u002Fgeneral\u002Falice",[1609,1610,1612,1614],{"name":1529,"url":1532,"accessed":1035},{"name":1611,"url":1539,"accessed":1035},"Comparateur-IA — Alice AI Review 2026",{"name":1613,"url":1546,"accessed":1035},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1615,"url":1553,"accessed":1035},"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",[1619,1620,1621,1622,1623,980],"desktop-assistant","multi-model","byo-api","privacy","hotkey","桌面 AI 助手里最像 Raycast 的存在——全局快捷键 + 一次买断 + 自带 API。重度多模型用户 + macOS 党 + 隐私敏感首选。要团队协作 \u002F 云同步走 Claude Desktop \u002F ChatGPT Team。","https:\u002F\u002Fheyalice.app","D4cSWts4Gbjfw2LPLECK9ae_inIY-gb4mF5L0saydBI",{"id":1628,"title":1629,"alternatives":1630,"api_compatible":959,"body":1637,"category":953,"chinese_friendly":954,"cover":2112,"description":2113,"domestic":957,"extension":958,"faq":2114,"free":957,"github":959,"languages":2127,"meta":2129,"models":959,"navigation":969,"notSuitable":959,"opensource":957,"path":1054,"pillar":976,"platforms":2130,"priceTable":2133,"pricing":2149,"published":1600,"relatedPlaybooks":2150,"relatedReviews":959,"score":2154,"self_host":957,"seo":2155,"slug":2156,"sources":2157,"stem":2166,"suitable":959,"tagline":2167,"tags":2168,"updated":1035,"verdict":2172,"website":2077,"__hash__":2173},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[1631,1634,1636],{"name":1632,"url":1633},"genspark","\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",{"name":1635,"url":1584},"alice",{"name":1047,"url":1048},{"type":19,"value":1638,"toc":2100},[1639,1641,1644,1647,1649,1711,1713,1737,1742,1746,1750,1773,1777,1803,1805,1825,1827,1959,1961,2022,2024,2050,2052,2068,2070],[22,1640,25],{"id":24},[34,1642,1643],{},"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。",[34,1645,1646],{},"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。",[22,1648,1067],{"id":1067},[78,1650,1651,1657,1663,1669,1675,1681,1687,1693,1699,1705],{},[81,1652,1653,1656],{},[37,1654,1655],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[81,1658,1659,1662],{},[37,1660,1661],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[81,1664,1665,1668],{},[37,1666,1667],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[81,1670,1671,1674],{},[37,1672,1673],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[81,1676,1677,1680],{},[37,1678,1679],{},"多线程并行","：同时跑多个 thread，画布一览",[81,1682,1683,1686],{},[37,1684,1685],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[81,1688,1689,1692],{},[37,1690,1691],{},"iOS App","：2026 上线，移动 workspace 访问",[81,1694,1695,1698],{},[37,1696,1697],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[81,1700,1701,1704],{},[37,1702,1703],{},"商业授权","：Pro+ 包含商业使用权",[81,1706,1707,1710],{},[37,1708,1709],{},"Web Control UI","：浏览器原生，多设备同步",[22,1712,341],{"id":341},[78,1714,1715,1720,1725,1731],{},[81,1716,1717,1719],{},[37,1718,351],{},"：$0；300 一次性 credits（试水级）",[81,1721,1722,1724],{},[37,1723,362],{},"：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[81,1726,1727,1730],{},[37,1728,1729],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[81,1732,1733,1736],{},[37,1734,1735],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[69,1738,1739],{},[34,1740,1741],{},"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。",[22,1743,1745],{"id":1744},"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）",[34,1747,1748],{},[37,1749,1174],{},[78,1751,1752,1755,1758,1761,1764,1767,1770],{},[81,1753,1754],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[81,1756,1757],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[81,1759,1760],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[81,1762,1763],{},"40+ 模型一窗体内切换 + 对比",[81,1765,1766],{},"多设备同步流畅",[81,1768,1769],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[81,1771,1772],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[34,1774,1775],{},[37,1776,1202],{},[78,1778,1779,1782,1785,1788,1791,1794,1797,1800],{},[81,1780,1781],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[81,1783,1784],{},"学习曲线明显，画布操作 + 节点连线要花时间",[81,1786,1787],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[81,1789,1790],{},"Free 300 credits 不够体验完整流程",[81,1792,1793],{},"Agent Neo 偶尔『过度自治』产出不可控",[81,1795,1796],{},"移动 iOS 体验不如桌面 Web",[81,1798,1799],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[81,1801,1802],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[22,1804,1231],{"id":1231},[420,1806,1807,1810,1813,1816,1819,1822],{},[81,1808,1809],{},"flowith.io → Free 注册 → 拿 300 credits",[81,1811,1812],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[81,1814,1815],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[81,1817,1818],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[81,1820,1821],{},"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",[81,1823,1824],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[22,1826,1257],{"id":1257},[184,1828,1829,1845],{},[187,1830,1831],{},[190,1832,1833,1835,1837,1839,1842],{},[193,1834,520],{},[193,1836,1629],{},[193,1838,502],{},[193,1840,1841],{},"ChatGPT",[193,1843,1844],{},"Claude",[200,1846,1847,1863,1880,1897,1914,1929,1944],{},[190,1848,1849,1852,1855,1858,1861],{},[205,1850,1851],{},"形态",[205,1853,1854],{},"无限画布 + 节点",[205,1856,1857],{},"多 Agent + Sparkpage",[205,1859,1860],{},"线性 chat",[205,1862,1860],{},[190,1864,1865,1868,1871,1874,1877],{},[205,1866,1867],{},"自治 agent",[205,1869,1870],{},"✅ Neo 1000+ 步",[205,1872,1873],{},"✅ Super Agent",[205,1875,1876],{},"✅ Operator",[205,1878,1879],{},"❌（API 走）",[190,1881,1882,1885,1888,1891,1894],{},[205,1883,1884],{},"上下文",[205,1886,1887],{},"10M token",[205,1889,1890],{},"200K",[205,1892,1893],{},"1M（GPT-5）",[205,1895,1896],{},"1M（Claude）",[190,1898,1899,1902,1905,1908,1911],{},[205,1900,1901],{},"模型数",[205,1903,1904],{},"40+",[205,1906,1907],{},"多家",[205,1909,1910],{},"OpenAI",[205,1912,1913],{},"Anthropic",[190,1915,1916,1919,1922,1924,1927],{},[205,1917,1918],{},"Knowledge base",[205,1920,1921],{},"✅ Seeds",[205,1923,1366],{},[205,1925,1926],{},"Projects",[205,1928,1926],{},[190,1930,1931,1934,1937,1940,1942],{},[205,1932,1933],{},"起价",[205,1935,1936],{},"$19.90\u002F月",[205,1938,1939],{},"$25\u002F月",[205,1941,365],{},[205,1943,365],{},[190,1945,1946,1948,1951,1954,1956],{},[205,1947,1404],{},[205,1949,1950],{},"深度多线程 + 长任务",[205,1952,1953],{},"全能 Super Agent",[205,1955,560],{},[205,1957,1958],{},"Coding \u002F 长文",[22,1960,1419],{"id":1419},[78,1962,1963,1969,1975,1981,1987,1993,1999,2005,2010,2016],{},[81,1964,1965,1968],{},[37,1966,1967],{},"从 Pro 起","：Free 300 credits 玩不出深度",[81,1970,1971,1974],{},[37,1972,1973],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[81,1976,1977,1980],{},[37,1978,1979],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[81,1982,1983,1986],{},[37,1984,1985],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[81,1988,1989,1992],{},[37,1990,1991],{},"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",[81,1994,1995,1998],{},[37,1996,1997],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[81,2000,2001,2004],{},[37,2002,2003],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[81,2006,2007,2009],{},[37,2008,1391],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[81,2011,2012,2015],{},[37,2013,2014],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[81,2017,2018,2021],{},[37,2019,2020],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[22,2023,806],{"id":805},[78,2025,2026,2029,2032,2035,2038,2041,2044,2047],{},[81,2027,2028],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[81,2030,2031],{},"✅ 要 10M token 超长上下文做综合分析",[81,2033,2034],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[81,2036,2037],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[81,2039,2040],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[81,2042,2043],{},"❌ 预算极紧 + 不愿学习曲线",[81,2045,2046],{},"❌ 线性思维 + 单线程偏好",[81,2048,2049],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[22,2051,853],{"id":853},[78,2053,2054,2059,2064],{},[81,2055,2056],{},[46,2057,2058],{"href":1633},"Genspark 评测",[81,2060,2061],{},[46,2062,2063],{"href":1584},"Alice 评测",[81,2065,2066],{},[46,2067,1512],{"href":1048},[22,2069,906],{"id":906},[420,2071,2072,2079,2086,2093],{},[81,2073,2074,2075],{},"Flowith 官网 + Pricing ",[46,2076,2077],{"href":2077,"rel":2078},"https:\u002F\u002Fflowith.io",[50],[81,2080,2081,2082],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[46,2083,2084],{"href":2084,"rel":2085},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[50],[81,2087,2088,2089],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[46,2090,2091],{"href":2091,"rel":2092},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[50],[81,2094,2095,2096],{},"OpenTools — Flowith Review May 2026 ",[46,2097,2098],{"href":2098,"rel":2099},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[50],{"title":450,"searchDepth":932,"depth":932,"links":2101},[2102,2103,2104,2105,2106,2107,2108,2109,2110,2111],{"id":24,"depth":935,"text":25},{"id":1067,"depth":935,"text":1067},{"id":341,"depth":935,"text":341},{"id":1744,"depth":935,"text":1745},{"id":1231,"depth":935,"text":1231},{"id":1257,"depth":935,"text":1257},{"id":1419,"depth":935,"text":1419},{"id":805,"depth":935,"text":806},{"id":853,"depth":935,"text":853},{"id":906,"depth":935,"text":906},"\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。",[2115,2118,2121,2124],{"q":2116,"a":2117},"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":2119,"a":2120},"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":2122,"a":2123},"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":2125,"a":2126},"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。",[962,961,2128],"multi",{},[978,2131,2132],"ios","macos-flowithos",[2134,2138,2141,2145],{"plan":2135,"price":354,"features":2136,"notes":2137},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":362,"price":1936,"features":2139,"notes":2140},"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":1729,"price":2142,"features":2143,"notes":2144},"$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":1735,"price":2146,"features":2147,"notes":2148},"$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）",[2151],{"name":2152,"url":2153},"画布式 AI 研究工作流","\u002Fplaybook\u002Fonboarding\u002Fcanvas-ai-research-workflow",{"power":1001,"ux":954,"price":932,"cn_support":954,"stability":954},{"title":1629,"description":2113},"agent\u002Fgeneral\u002Fflowith",[2158,2160,2162,2164],{"name":2159,"url":2077,"accessed":1035},"Flowith 官网",{"name":2161,"url":2084,"accessed":1035},"Toolworthy — Flowith Review 2026",{"name":2163,"url":2091,"accessed":1035},"BlockSentient — Flowith 2026 详细评测",{"name":2165,"url":2098,"accessed":1035},"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",[2169,1620,2170,2171,1053],"canvas","agentic","knowledge-base","线性 chat 装不下的复杂深度工作专用——研究 \u002F 报告 \u002F 网站搭建 \u002F 长期项目首选画布。简单问答 \u002F 短任务用 ChatGPT \u002F Claude 即可，Flowith 学习曲线 + credit 消耗都偏高。","1G-cIIvtfc6wJrzZ2tqkoue9acTv8_N8J8o9iggM9Z0",{"id":2175,"title":502,"alternatives":2176,"api_compatible":959,"body":2180,"category":953,"chinese_friendly":954,"cover":2676,"description":2677,"domestic":957,"extension":958,"faq":2678,"free":957,"github":959,"languages":2691,"meta":2692,"models":959,"navigation":969,"notSuitable":959,"opensource":957,"path":1633,"pillar":976,"platforms":2693,"priceTable":2695,"pricing":2704,"published":1600,"relatedPlaybooks":2705,"relatedReviews":959,"score":2709,"self_host":957,"seo":2710,"slug":13,"sources":2711,"stem":2720,"suitable":959,"tagline":2721,"tags":2722,"updated":1035,"verdict":2726,"website":2727,"__hash__":2728},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[2177,2178,2179],{"name":1053,"url":1054},{"name":1047,"url":1048},{"name":1635,"url":1584},{"type":19,"value":2181,"toc":2664},[2182,2184,2187,2190,2192,2266,2268,2291,2296,2300,2304,2327,2331,2357,2359,2379,2381,2530,2532,2588,2590,2616,2618,2632,2634],[22,2183,25],{"id":24},[34,2185,2186],{},"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。",[34,2188,2189],{},"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）。",[22,2191,1067],{"id":1067},[78,2193,2194,2200,2206,2212,2218,2224,2230,2236,2242,2248,2254,2260],{},[81,2195,2196,2199],{},[37,2197,2198],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[81,2201,2202,2205],{},[37,2203,2204],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[81,2207,2208,2211],{},[37,2209,2210],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[81,2213,2214,2217],{},[37,2215,2216],{},"AI Slides","：10-15 张幻灯片含图表",[81,2219,2220,2223],{},[37,2221,2222],{},"AI Sites","：完整 landing page 一键生成",[81,2225,2226,2229],{},[37,2227,2228],{},"AI Video","：30-60s 短视频生成",[81,2231,2232,2235],{},[37,2233,2234],{},"AI Pods","：10 分钟 AI podcast 生成",[81,2237,2238,2241],{},[37,2239,2240],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[81,2243,2244,2247],{},[37,2245,2246],{},"AI Sheets","：CSV 数据分析 + 自动图表",[81,2249,2250,2253],{},[37,2251,2252],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[81,2255,2256,2259],{},[37,2257,2258],{},"iOS \u002F Android App","：移动端可用",[81,2261,2262,2265],{},[37,2263,2264],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[22,2267,341],{"id":341},[78,2269,2270,2275,2280,2285],{},[81,2271,2272,2274],{},[37,2273,351],{},"：100-200 daily credits（~3-8 简单任务）",[81,2276,2277,2279],{},[37,2278,373],{},"：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[81,2281,2282,2284],{},[37,2283,362],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[81,2286,2287,2290],{},[37,2288,2289],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[69,2292,2293],{},[34,2294,2295],{},"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。",[22,2297,2299],{"id":2298},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[34,2301,2302],{},[37,2303,1174],{},[78,2305,2306,2309,2312,2315,2318,2321,2324],{},[81,2307,2308],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[81,2310,2311],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[81,2313,2314],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[81,2316,2317],{},"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",[81,2319,2320],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[81,2322,2323],{},"Sparkpage 输出可直接分享 + 嵌入",[81,2325,2326],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[34,2328,2329],{},[37,2330,1202],{},[78,2332,2333,2336,2339,2342,2345,2348,2351,2354],{},[81,2334,2335],{},"credit 消耗不透明，复杂任务前难估算成本",[81,2337,2338],{},"用户反馈 customer support + refund 有问题",[81,2340,2341],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[81,2343,2344],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[81,2346,2347],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[81,2349,2350],{},"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",[81,2352,2353],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[81,2355,2356],{},"Pro $249 月价格陡，中端断档",[22,2358,1231],{"id":1231},[420,2360,2361,2364,2367,2370,2373,2376],{},[81,2362,2363],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[81,2365,2366],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[81,2368,2369],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[81,2371,2372],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[81,2374,2375],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[81,2377,2378],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[22,2380,1257],{"id":1257},[184,2382,2383,2399],{},[187,2384,2385],{},[190,2386,2387,2389,2391,2393,2396],{},[193,2388,520],{},[193,2390,502],{},[193,2392,1629],{},[193,2394,2395],{},"Perplexity Pro",[193,2397,2398],{},"ChatGPT Plus",[200,2400,2401,2416,2431,2445,2459,2474,2488,2501,2515],{},[190,2402,2403,2405,2408,2411,2413],{},[205,2404,2198],{},[205,2406,2407],{},"✅ 多 Agent",[205,2409,2410],{},"✅ Neo 自治",[205,2412,1366],{},[205,2414,2415],{},"Operator",[190,2417,2418,2421,2424,2427,2429],{},[205,2419,2420],{},"可视化输出",[205,2422,2423],{},"✅ Sparkpage",[205,2425,2426],{},"✅ 画布",[205,2428,1366],{},[205,2430,1366],{},[190,2432,2433,2436,2439,2441,2443],{},[205,2434,2435],{},"真实电话调用",[205,2437,2438],{},"✅ Call For Me",[205,2440,1366],{},[205,2442,1366],{},[205,2444,1366],{},[190,2446,2447,2450,2453,2455,2457],{},[205,2448,2449],{},"一键建站",[205,2451,2452],{},"✅ AI Sites",[205,2454,1366],{},[205,2456,1366],{},[205,2458,1366],{},[190,2460,2461,2464,2467,2469,2471],{},[205,2462,2463],{},"视频 \u002F 音频生成",[205,2465,2466],{},"✅ Video \u002F Pods",[205,2468,1351],{},[205,2470,1366],{},[205,2472,2473],{},"Sora（独立）",[190,2475,2476,2479,2482,2484,2486],{},[205,2477,2478],{},"引用透明",[205,2480,2481],{},"中",[205,2483,1366],{},[205,2485,1286],{},[205,2487,1351],{},[190,2489,2490,2492,2495,2497,2499],{},[205,2491,1933],{},[205,2493,2494],{},"$25\u002F月（Plus）",[205,2496,1936],{},[205,2498,365],{},[205,2500,365],{},[190,2502,2503,2506,2509,2511,2513],{},[205,2504,2505],{},"最贵",[205,2507,2508],{},"$249\u002F月",[205,2510,2146],{},[205,2512,365],{},[205,2514,995],{},[190,2516,2517,2519,2522,2525,2528],{},[205,2518,1404],{},[205,2520,2521],{},"一站式 Super Agent",[205,2523,2524],{},"画布深度",[205,2526,2527],{},"搜索引用",[205,2529,560],{},[22,2531,1419],{"id":1419},[78,2533,2534,2540,2546,2552,2558,2564,2570,2576,2582],{},[81,2535,2536,2539],{},[37,2537,2538],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[81,2541,2542,2545],{},[37,2543,2544],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[81,2547,2548,2551],{},[37,2549,2550],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[81,2553,2554,2557],{},[37,2555,2556],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[81,2559,2560,2563],{},[37,2561,2562],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[81,2565,2566,2569],{},[37,2567,2568],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[81,2571,2572,2575],{},[37,2573,2574],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[81,2577,2578,2581],{},[37,2579,2580],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[81,2583,2584,2587],{},[37,2585,2586],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[22,2589,806],{"id":805},[78,2591,2592,2595,2598,2601,2604,2607,2610,2613],{},[81,2593,2594],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[81,2596,2597],{},"✅ Plus $25 重度多模型不限 chat 用户",[81,2599,2600],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[81,2602,2603],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[81,2605,2606],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[81,2608,2609],{},"❌ 学术严谨场景",[81,2611,2612],{},"❌ 预算极紧",[81,2614,2615],{},"❌ 要画布 + 多线程深度（用 Flowith）",[22,2617,853],{"id":853},[78,2619,2620,2624,2628],{},[81,2621,2622],{},[46,2623,1522],{"href":1054},[81,2625,2626],{},[46,2627,1512],{"href":1048},[81,2629,2630],{},[46,2631,2063],{"href":1584},[22,2633,906],{"id":906},[420,2635,2636,2643,2650,2657],{},[81,2637,2638,2639],{},"Genspark Pricing 官方 ",[46,2640,2641],{"href":2641,"rel":2642},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[50],[81,2644,2645,2646],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[46,2647,2648],{"href":2648,"rel":2649},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[50],[81,2651,2652,2653],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[46,2654,2655],{"href":2655,"rel":2656},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[50],[81,2658,2659,2660],{},"Lindy — Genspark Features 2026 Tested ",[46,2661,2662],{"href":2662,"rel":2663},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[50],{"title":450,"searchDepth":932,"depth":932,"links":2665},[2666,2667,2668,2669,2670,2671,2672,2673,2674,2675],{"id":24,"depth":935,"text":25},{"id":1067,"depth":935,"text":1067},{"id":341,"depth":935,"text":341},{"id":2298,"depth":935,"text":2299},{"id":1231,"depth":935,"text":1231},{"id":1257,"depth":935,"text":1257},{"id":1419,"depth":935,"text":1419},{"id":805,"depth":935,"text":806},{"id":853,"depth":935,"text":853},{"id":906,"depth":935,"text":906},"\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。",[2679,2682,2685,2688],{"q":2680,"a":2681},"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":2683,"a":2684},"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":2686,"a":2687},"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":2689,"a":2690},"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。",[962,961,2128],{},[978,2131,2694],"android",[2696,2698,2701],{"plan":351,"price":354,"features":2697,"notes":2137},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":373,"price":1939,"features":2699,"notes":2700},"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":362,"price":2508,"features":2702,"notes":2703},"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",[2706],{"name":2707,"url":2708},"Super Agent 自治任务工作流","\u002Fplaybook\u002Fonboarding\u002Fsuper-agent-workflow",{"power":1001,"ux":954,"price":932,"cn_support":932,"stability":954},{"title":502,"description":2677},[2712,2714,2716,2718],{"name":2713,"url":2641,"accessed":1035},"Genspark 官网 + 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Stack",[81,3498,3499,3502],{},[37,3500,3501],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[81,3504,3505,3508],{},[37,3506,3507],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[81,3510,3511,3514],{},[37,3512,3513],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[69,3516,3517],{},[34,3518,3519],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[22,3521,3523],{"id":3522},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[34,3525,3526],{},[37,3527,1174],{},[78,3529,3530,3533,3536,3539,3542,3545,3548,3551],{},[81,3531,3532],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[81,3534,3535],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[81,3537,3538],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[81,3540,3541],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[81,3543,3544],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[81,3546,3547],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[81,3549,3550],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[81,3552,3553],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[34,3555,3556],{},[37,3557,1202],{},[78,3559,3560,3563,3566,3569,3572,3575,3578,3581],{},[81,3561,3562],{},"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",[81,3564,3565],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[81,3567,3568],{},"桌面 only，无 iOS \u002F Android",[81,3570,3571],{},"llama.cpp 更新滞后官方上游 1-2 版本",[81,3573,3574],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[81,3576,3577],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[81,3579,3580],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[81,3582,3583],{},"中文 UI 不完整，部分功能仍是英文",[22,3585,1231],{"id":1231},[420,3587,3588,3591,3594,3597,3600,3603,3606],{},[81,3589,3590],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[81,3592,3593],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[81,3595,3596],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[81,3598,3599],{},"加云模型：OpenAI Key + Anthropic Key",[81,3601,3602],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[81,3604,3605],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[81,3607,3608],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[22,3610,1257],{"id":1257},[184,3612,3613,3630],{},[187,3614,3615],{},[190,3616,3617,3619,3621,3624,3627],{},[193,3618,520],{},[193,3620,3391],{},[193,3622,3623],{},"Ollama",[193,3625,3626],{},"LM Studio",[193,3628,3629],{},"Jan",[200,3631,3632,3647,3662,3675,3687,3700,3714,3729,3741,3755],{},[190,3633,3634,3637,3640,3643,3645],{},[205,3635,3636],{},"GUI",[205,3638,3639],{},"✅ 颜值高",[205,3641,3642],{},"❌ CLI",[205,3644,1302],{},[205,3646,1302],{},[190,3648,3649,3652,3655,3657,3660],{},[205,3650,3651],{},"本地引擎",[205,3653,3654],{},"MLX\u002Fllama.cpp\u002FOllama",[205,3656,3623],{},[205,3658,3659],{},"llama.cpp",[205,3661,3659],{},[190,3663,3664,3667,3669,3671,3673],{},[205,3665,3666],{},"云模型",[205,3668,1302],{},[205,3670,625],{},[205,3672,625],{},[205,3674,1351],{},[190,3676,3677,3679,3681,3683,3685],{},[205,3678,3432],{},[205,3680,1354],{},[205,3682,625],{},[205,3684,1351],{},[205,3686,1366],{},[190,3688,3689,3691,3694,3696,3698],{},[205,3690,3438],{},[205,3692,3693],{},"✅ per-conv",[205,3695,625],{},[205,3697,625],{},[205,3699,1351],{},[190,3701,3702,3705,3708,3710,3712],{},[205,3703,3704],{},"Studios",[205,3706,3707],{},"✅ Prompt\u002FPersona\u002FSkills",[205,3709,1366],{},[205,3711,1366],{},[205,3713,1366],{},[190,3715,3716,3719,3721,3724,3726],{},[205,3717,3718],{},"开源",[205,3720,625],{},[205,3722,3723],{},"✅ MIT",[205,3725,625],{},[205,3727,3728],{},"✅ Apache 2.0",[190,3730,3731,3733,3735,3737,3739],{},[205,3732,1933],{},[205,3734,354],{},[205,3736,354],{},[205,3738,354],{},[205,3740,354],{},[190,3742,3743,3746,3749,3751,3753],{},[205,3744,3745],{},"终身",[205,3747,3748],{},"$349",[205,3750,1366],{},[205,3752,1366],{},[205,3754,1366],{},[190,3756,3757,3759,3762,3765,3768],{},[205,3758,1404],{},[205,3760,3761],{},"桌面颜值 + 多模型",[205,3763,3764],{},"CLI \u002F Server",[205,3766,3767],{},"模型市场",[205,3769,3770],{},"严格开源",[22,3772,1419],{"id":1419},[78,3774,3775,3781,3787,3793,3799,3805,3811,3817,3823],{},[81,3776,3777,3780],{},[37,3778,3779],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[81,3782,3783,3786],{},[37,3784,3785],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[81,3788,3789,3792],{},[37,3790,3791],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[81,3794,3795,3798],{},[37,3796,3797],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[81,3800,3801,3804],{},[37,3802,3803],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[81,3806,3807,3810],{},[37,3808,3809],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[81,3812,3813,3816],{},[37,3814,3815],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[81,3818,3819,3822],{},[37,3820,3821],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[81,3824,3825,3827],{},[37,3826,1474],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[22,3829,806],{"id":805},[78,3831,3832,3835,3838,3841,3844,3847,3850,3853],{},[81,3833,3834],{},"✅ 隐私敏感 + 数据零云",[81,3836,3837],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[81,3839,3840],{},"✅ 不愿学 Ollama CLI 的非工程师",[81,3842,3843],{},"✅ 多模型对比决策场景",[81,3845,3846],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[81,3848,3849],{},"❌ 要 mobile 移动主力",[81,3851,3852],{},"❌ 团队协作 + 共享 workspace",[81,3854,3855],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[22,3857,853],{"id":853},[78,3859,3860,3865,3870],{},[81,3861,3862],{},[46,3863,3864],{"href":3395},"Ollama 评测",[81,3866,3867],{},[46,3868,3869],{"href":3398},"LM Studio 评测",[81,3871,3872],{},[46,3873,3874],{"href":3401},"Open WebUI 评测",[22,3876,906],{"id":906},[420,3878,3879,3886,3893,3900],{},[81,3880,3881,3882],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[46,3883,3884],{"href":3884,"rel":3885},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[50],[81,3887,3888,3889],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[46,3890,3891],{"href":3891,"rel":3892},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[50],[81,3894,3895,3896],{},"ML Journey — Msty Multi-model Comparison Guide ",[46,3897,3898],{"href":3898,"rel":3899},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[50],[81,3901,3902,3903],{},"AISO Tools — Msty Pricing 2026 ",[46,3904,3905],{"href":3905,"rel":3906},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[50],{"title":450,"searchDepth":932,"depth":932,"links":3908},[3909,3910,3911,3912,3913,3914,3915,3916,3917,3918],{"id":24,"depth":935,"text":25},{"id":1067,"depth":935,"text":1067},{"id":341,"depth":935,"text":341},{"id":3522,"depth":935,"text":3523},{"id":1231,"depth":935,"text":1231},{"id":1257,"depth":935,"text":1257},{"id":1419,"depth":935,"text":1419},{"id":805,"depth":935,"text":806},{"id":853,"depth":935,"text":853},{"id":906,"depth":935,"text":906},"\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。",[3922,3925,3928,3931],{"q":3923,"a":3924},"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":3926,"a":3927},"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":3929,"a":3930},"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":1580,"a":3932},"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。",[962,2128],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[980,979,981,978],[3938,3941,3945,3949],{"plan":351,"price":354,"features":3939,"notes":3940},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":3501,"price":3942,"features":3943,"notes":3944},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":3507,"price":3946,"features":3947,"notes":3948},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":3513,"price":3950,"features":3951,"notes":3952},"$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",[3955],{"name":3956,"url":3957},"本地 AI 工作站搭建","\u002Fplaybook\u002Fonboarding\u002Flocal-ai-workstation",{"power":954,"ux":1001,"price":1001,"cn_support":932,"stability":954},{"title":3391,"description":3920},"agent\u002Fgeneral\u002Fmsty",[3962,3964,3966,3968],{"name":3963,"url":3884,"accessed":1035},"Msty 官网 + Features",{"name":3965,"url":3891,"accessed":1035},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":3967,"url":3898,"accessed":1035},"ML Journey — Msty Local LLM Comparison Guide",{"name":3969,"url":3905,"accessed":1035},"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",[3973,1620,1622,2171,3974],"local-first","msty","Ollama \u002F LM Studio 的『精品桌面应用版』——拒绝 CLI + 拒绝云上传 + 多模型同窗对比的最佳选择。Mac mini \u002F Linux 私人 AI 服务器场景神器。要团队协作 + 云同步建议 Claude Team \u002F ChatGPT Team。","https:\u002F\u002Fmsty.ai","fpfoiXkk8MMUyRVhYjBVH-obs7K8TDT8HK_Fgt5GfAM",{"id":3979,"title":3980,"alternatives":3981,"api_compatible":959,"body":3991,"category":953,"chinese_friendly":954,"cover":4649,"description":4650,"domestic":957,"extension":958,"faq":4651,"free":957,"github":959,"languages":4664,"meta":4665,"models":959,"navigation":969,"notSuitable":959,"opensource":969,"path":4666,"pillar":976,"platforms":4667,"priceTable":4669,"pricing":4673,"published":1600,"relatedPlaybooks":4674,"relatedReviews":959,"score":4678,"self_host":969,"seo":4679,"slug":4680,"sources":4681,"stem":4690,"suitable":959,"tagline":4691,"tags":4692,"updated":1035,"verdict":4698,"website":4610,"__hash__":4699},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[3982,3985,3988],{"name":3983,"url":3984},"langflow","\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow",{"name":3986,"url":3987},"n8n","\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n",{"name":3989,"url":3990},"composio","\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio",{"type":19,"value":3992,"toc":4637},[3993,3995,4002,4005,4007,4083,4085,4102,4106,4110,4136,4140,4166,4168,4318,4321,4327,4329,4494,4496,4554,4556,4582,4584,4601,4603,4633],[22,3994,25],{"id":24},[34,3996,3997,3998,4001],{},"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（",[448,3999,4000],{},"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。",[34,4003,4004],{},"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）。",[22,4006,1067],{"id":1067},[78,4008,4009,4017,4023,4029,4035,4041,4047,4053,4059,4065,4071,4077],{},[81,4010,4011,403,4014,4016],{},[37,4012,4013],{},"多 agent orchestration",[448,4015,4000],{}," 编排多个专门 agent 协作",[81,4018,4019,4022],{},[37,4020,4021],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[81,4024,4025,4028],{},[37,4026,4027],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[81,4030,4031,4034],{},[37,4032,4033],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[81,4036,4037,4040],{},[37,4038,4039],{},"OpenManus-RL","：强化学习微调分支",[81,4042,4043,4046],{},[37,4044,4045],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[81,4048,4049,4052],{},[37,4050,4051],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[81,4054,4055,4058],{},[37,4056,4057],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[81,4060,4061,4064],{},[37,4062,4063],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[81,4066,4067,4070],{},[37,4068,4069],{},"Web UI 监控","：实时看 AI thinking process",[81,4072,4073,4076],{},[37,4074,4075],{},"任务可视化","：步骤拆解 + 执行树",[81,4078,4079,4082],{},[37,4080,4081],{},"MIT 协议","：个人 + 商用全免费",[22,4084,341],{"id":341},[78,4086,4087,4093,4096,4099],{},[81,4088,4089,4092],{},[37,4090,4091],{},"Free \u002F OSS","：$0；MIT 协议",[81,4094,4095],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[81,4097,4098],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[81,4100,4101],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[22,4103,4105],{"id":4104},"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）",[34,4107,4108],{},[37,4109,1174],{},[78,4111,4112,4115,4118,4121,4124,4127,4130,4133],{},[81,4113,4114],{},"52k stars 印证社区认同度 + 活跃度",[81,4116,4117],{},"MetaGPT 团队背景保证架构质量",[81,4119,4120],{},"多 agent 协作场景比单 agent 实现稳得多",[81,4122,4123],{},"Playwright 浏览器自动化非常完整",[81,4125,4126],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[81,4128,4129],{},"DataAnalysis 内置 agent 模式开箱即用",[81,4131,4132],{},"中文支持自然（Qwen VL Plus 接入）",[81,4134,4135],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[34,4137,4138],{},[37,4139,1202],{},[78,4141,4142,4145,4148,4151,4154,4157,4160,4163],{},[81,4143,4144],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[81,4146,4147],{},"文档滞后新功能 1-2 个月",[81,4149,4150],{},"无官方 GUI，监控 UI 在做但不完整",[81,4152,4153],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[81,4155,4156],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[81,4158,4159],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[81,4161,4162],{},"中文 prompt 效果依赖底层模型",[81,4164,4165],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[22,4167,1231],{"id":1231},[441,4169,4173],{"className":4170,"code":4171,"language":4172,"meta":450,"style":450},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\ncd OpenManus\npython3.12 -m venv .venv && source .venv\u002Fbin\u002Factivate  # 或 .venv\\Scripts\\activate\npip install -r requirements.txt\nplaywright install chromium\n\n# 配 LLM API\ncp config\u002Fconfig.example.toml config\u002Fconfig.toml\n# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n\n# 单 agent 模式\npython main.py\n\n# 多 agent 模式\npython run_flow.py\n","bash",[448,4174,4175,4191,4200,4228,4242,4252,4258,4263,4274,4280,4284,4290,4299,4304,4310],{"__ignoreMap":450},[4176,4177,4180,4184,4188],"span",{"class":4178,"line":4179},"line",1,[4176,4181,4183],{"class":4182},"sScJk","git",[4176,4185,4187],{"class":4186},"sZZnC"," clone",[4176,4189,4190],{"class":4186}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[4176,4192,4193,4197],{"class":4178,"line":935},[4176,4194,4196],{"class":4195},"sj4cs","cd",[4176,4198,4199],{"class":4186}," OpenManus\n",[4176,4201,4202,4205,4208,4211,4214,4218,4221,4224],{"class":4178,"line":932},[4176,4203,4204],{"class":4182},"python3.12",[4176,4206,4207],{"class":4195}," -m",[4176,4209,4210],{"class":4186}," venv",[4176,4212,4213],{"class":4186}," .venv",[4176,4215,4217],{"class":4216},"sVt8B"," && ",[4176,4219,4220],{"class":4195},"source",[4176,4222,4223],{"class":4186}," .venv\u002Fbin\u002Factivate",[4176,4225,4227],{"class":4226},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[4176,4229,4230,4233,4236,4239],{"class":4178,"line":954},[4176,4231,4232],{"class":4182},"pip",[4176,4234,4235],{"class":4186}," install",[4176,4237,4238],{"class":4195}," -r",[4176,4240,4241],{"class":4186}," requirements.txt\n",[4176,4243,4244,4247,4249],{"class":4178,"line":1001},[4176,4245,4246],{"class":4182},"playwright",[4176,4248,4235],{"class":4186},[4176,4250,4251],{"class":4186}," chromium\n",[4176,4253,4255],{"class":4178,"line":4254},6,[4176,4256,4257],{"emptyLinePlaceholder":969},"\n",[4176,4259,4260],{"class":4178,"line":5},[4176,4261,4262],{"class":4226},"# 配 LLM API\n",[4176,4264,4265,4268,4271],{"class":4178,"line":8},[4176,4266,4267],{"class":4182},"cp",[4176,4269,4270],{"class":4186}," config\u002Fconfig.example.toml",[4176,4272,4273],{"class":4186}," config\u002Fconfig.toml\n",[4176,4275,4277],{"class":4178,"line":4276},9,[4176,4278,4279],{"class":4226},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[4176,4281,4282],{"class":4178,"line":7},[4176,4283,4257],{"emptyLinePlaceholder":969},[4176,4285,4287],{"class":4178,"line":4286},11,[4176,4288,4289],{"class":4226},"# 单 agent 模式\n",[4176,4291,4293,4296],{"class":4178,"line":4292},12,[4176,4294,4295],{"class":4182},"python",[4176,4297,4298],{"class":4186}," main.py\n",[4176,4300,4302],{"class":4178,"line":4301},13,[4176,4303,4257],{"emptyLinePlaceholder":969},[4176,4305,4307],{"class":4178,"line":4306},14,[4176,4308,4309],{"class":4226},"# 多 agent 模式\n",[4176,4311,4313,4315],{"class":4178,"line":4312},15,[4176,4314,4295],{"class":4182},[4176,4316,4317],{"class":4186}," run_flow.py\n",[34,4319,4320],{},"试任务示例：",[441,4322,4325],{"className":4323,"code":4324,"language":446},[444],"> 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",[448,4326,4324],{"__ignoreMap":450},[22,4328,1257],{"id":1257},[184,4330,4331,4348],{},[187,4332,4333],{},[190,4334,4335,4337,4339,4342,4345],{},[193,4336,520],{},[193,4338,3980],{},[193,4340,4341],{},"LangChain",[193,4343,4344],{},"AutoGPT",[193,4346,4347],{},"CrewAI",[200,4349,4350,4366,4380,4392,4407,4420,4434,4448,4465,4478],{},[190,4351,4352,4354,4357,4360,4363],{},[205,4353,1851],{},[205,4355,4356],{},"现成 agent 实现",[205,4358,4359],{},"building blocks",[205,4361,4362],{},"早期通用 agent",[205,4364,4365],{},"多 agent 框架",[190,4367,4368,4371,4374,4376,4378],{},[205,4369,4370],{},"浏览器自动化",[205,4372,4373],{},"✅ Playwright",[205,4375,1366],{},[205,4377,1351],{},[205,4379,1366],{},[190,4381,4382,4384,4386,4388,4390],{},[205,4383,1346],{},[205,4385,1302],{},[205,4387,1351],{},[205,4389,1366],{},[205,4391,1366],{},[190,4393,4394,4397,4400,4403,4405],{},[205,4395,4396],{},"多 agent",[205,4398,4399],{},"✅ orchestration",[205,4401,4402],{},"需自搭",[205,4404,625],{},[205,4406,1354],{},[190,4408,4409,4412,4414,4416,4418],{},[205,4410,4411],{},"DataAnalysis 内置",[205,4413,1302],{},[205,4415,1366],{},[205,4417,1366],{},[205,4419,1366],{},[190,4421,4422,4425,4428,4430,4432],{},[205,4423,4424],{},"RL 微调",[205,4426,4427],{},"✅ OpenManus-RL",[205,4429,1366],{},[205,4431,1366],{},[205,4433,1366],{},[190,4435,4436,4439,4442,4444,4446],{},[205,4437,4438],{},"协议",[205,4440,4441],{},"MIT",[205,4443,4441],{},[205,4445,4441],{},[205,4447,4441],{},[190,4449,4450,4453,4456,4459,4462],{},[205,4451,4452],{},"Stars",[205,4454,4455],{},"52k+",[205,4457,4458],{},"100k+",[205,4460,4461],{},"170k+",[205,4463,4464],{},"30k+",[190,4466,4467,4469,4471,4474,4476],{},[205,4468,1231],{},[205,4470,2481],{},[205,4472,4473],{},"难",[205,4475,2481],{},[205,4477,2481],{},[190,4479,4480,4482,4485,4488,4491],{},[205,4481,1404],{},[205,4483,4484],{},"自托管 Manus 复刻",[205,4486,4487],{},"底层 framework",[205,4489,4490],{},"学习经典",[205,4492,4493],{},"多 agent 协作",[22,4495,1419],{"id":1419},[78,4497,4498,4504,4514,4520,4526,4532,4538,4544,4548],{},[81,4499,4500,4503],{},[37,4501,4502],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[81,4505,4506,4509,4510,4513],{},[37,4507,4508],{},"Playwright 依赖大","：首次 ",[448,4511,4512],{},"playwright install"," 下 chromium 慢，国内走镜像",[81,4515,4516,4519],{},[37,4517,4518],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[81,4521,4522,4525],{},[37,4523,4524],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[81,4527,4528,4531],{},[37,4529,4530],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[81,4533,4534,4537],{},[37,4535,4536],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[81,4539,4540,4543],{},[37,4541,4542],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[81,4545,4546,1475],{},[37,4547,1474],{},[81,4549,4550,4553],{},[37,4551,4552],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[22,4555,806],{"id":805},[78,4557,4558,4561,4564,4567,4570,4573,4576,4579],{},[81,4559,4560],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[81,4562,4563],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[81,4565,4566],{},"✅ 隐私敏感 + 不愿数据上商业云",[81,4568,4569],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[81,4571,4572],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[81,4574,4575],{},"❌ 要 GUI \u002F 上手即用",[81,4577,4578],{},"❌ 生产级稳定（文档滞后 + 演进快）",[81,4580,4581],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[22,4583,853],{"id":853},[78,4585,4586,4591,4596],{},[81,4587,4588],{},[46,4589,4590],{"href":3984},"Langflow 评测",[81,4592,4593],{},[46,4594,4595],{"href":3987},"n8n 评测",[81,4597,4598],{},[46,4599,4600],{"href":3990},"Composio 评测",[22,4602,906],{"id":906},[420,4604,4605,4612,4619,4626],{},[81,4606,4607,4608],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[46,4609,4610],{"href":4610,"rel":4611},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[50],[81,4613,4614,4615],{},"Foundation Agents — OpenManus 项目介绍 ",[46,4616,4617],{"href":4617,"rel":4618},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[50],[81,4620,4621,4622],{},"Toolsverse — OpenManus 评测 + 52k stars ",[46,4623,4624],{"href":4624,"rel":4625},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[50],[81,4627,4628,4629],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[46,4630,4631],{"href":4631,"rel":4632},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[50],[4634,4635,4636],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":450,"searchDepth":932,"depth":932,"links":4638},[4639,4640,4641,4642,4643,4644,4645,4646,4647,4648],{"id":24,"depth":935,"text":25},{"id":1067,"depth":935,"text":1067},{"id":341,"depth":935,"text":341},{"id":4104,"depth":935,"text":4105},{"id":1231,"depth":935,"text":1231},{"id":1257,"depth":935,"text":1257},{"id":1419,"depth":935,"text":1419},{"id":805,"depth":935,"text":806},{"id":853,"depth":935,"text":853},{"id":906,"depth":935,"text":906},"\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。",[4652,4655,4658,4661],{"q":4653,"a":4654},"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":4656,"a":4657},"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":4659,"a":4660},"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":4662,"a":4663},"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。",[962,961,2128],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[981,980,979,4668],"docker",[4670],{"plan":4091,"price":354,"features":4671,"notes":4672},"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）",[4675],{"name":4676,"url":4677},"开源通用 Agent 自托管","\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent",{"power":1001,"ux":932,"price":1001,"cn_support":954,"stability":932},{"title":3980,"description":4650},"agent\u002Fgeneral\u002Fopenmanus",[4682,4684,4686,4688],{"name":4683,"url":4610,"accessed":1035},"OpenManus GitHub（FoundationAgents 组织）",{"name":4685,"url":4617,"accessed":1035},"Foundation Agents — OpenManus 项目介绍",{"name":4687,"url":4624,"accessed":1035},"Toolsverse — OpenManus 评测 + 52k stars",{"name":4689,"url":4631,"accessed":1035},"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",[4693,1032,4694,4695,4696,4697],"opensource","browser-automation","mcp","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","qUdn6uczDc3zzGsEiWZZQpmMYb9C0V4SkeLUu6ASxgs",[],1782316490367]