[{"data":1,"prerenderedAt":1622},["ShallowReactive",2],{"header-counts":3,"compare-manus-vs-genspark":6,"footer-counts":7,"compare-a-manus":10,"compare-b-genspark":1042},{"tools":4,"reviews":5},70,14,null,{"tools":4,"reviews":5,"playbooks":8,"news":9},19,13,{"id":11,"title":12,"alternatives":13,"api_compatible":18,"body":19,"category":954,"chinese_friendly":955,"cover":956,"description":957,"domestic":958,"extension":959,"faq":6,"free":958,"github":6,"languages":960,"meta":963,"models":964,"navigation":969,"notSuitable":970,"opensource":958,"path":975,"pillar":976,"platforms":977,"priceTable":982,"pricing":998,"published":999,"relatedPlaybooks":1000,"relatedReviews":1002,"score":1004,"self_host":958,"seo":1006,"seoTitle":6,"slug":1007,"sources":1008,"stem":1024,"suitable":1025,"tagline":1031,"tags":1032,"updated":1039,"verdict":1040,"website":428,"__hash__":1041},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[14,15,16,17],"agent\u002Fgeneral\u002Fgenspark","agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":20,"value":21,"toc":932},"minimark",[22,27,69,75,78,144,147,152,160,165,172,176,184,256,261,265,272,276,284,289,306,309,312,315,322,325,331,392,398,405,410,416,420,467,470,510,513,688,693,710,715,735,738,804,808,811,828,831,852,855,905,908,925],[23,24,26],"h2",{"id":25},"tldr","TL;DR",[28,29,34,54],"div",{"className":30},[31,32,33],"card","p-5","my-4",[35,36,37,41,42,45,46,53],"p",{},[38,39,40],"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，",[38,43,44],{},"邀请码一度被炒到 ¥5 万-10 万","（",[47,48,52],"a",{"href":49,"rel":50},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[51],"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。",[35,55,56,57,45,60,64,65,68],{},"2025-12 传被 ",[38,58,59],{},"Meta 以约 20-30 亿美元收购",[47,61,63],{"href":49,"rel":62},[51],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[38,66,67],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[70,71,72],"blockquote",{},[35,73,74],{},"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。",[23,76,77],{"id":77},"背景与公司",[79,80,81,93,99,105,111,122,132,138],"ul",{},[82,83,84,87,88,92],"li",{},[38,85,86],{},"公司","：Butterfly Effect Pte. Ltd.（",[47,89,91],{"href":49,"rel":90},[51],"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）",[82,94,95,98],{},[38,96,97],{},"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）",[82,100,101,104],{},[38,102,103],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[82,106,107,110],{},[38,108,109],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[82,112,113,116,117,121],{},[38,114,115],{},"Manus 启动","：2024-10 立项，灵感来自 ",[47,118,120],{"href":119},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[82,123,124,127,128],{},[38,125,126],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[47,129,131],{"href":49,"rel":130},[51],"Demo 视频 20 小时百万播放",[82,133,134,137],{},[38,135,136],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[82,139,140,143],{},[38,141,142],{},"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",[23,145,146],{"id":146},"核心特性",[148,149,151],"h3",{"id":150},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[35,153,154,159],{},[47,155,158],{"href":156,"rel":157},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[51],"Pick Right 2026-04 评测"," 描述的架构：",[70,161,162],{},[35,163,164],{},"\"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.\"",[35,166,167,168,171],{},"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 ",[38,169,170],{},"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。",[148,173,175],{"id":174},"通用-agent-模式","通用 Agent 模式",[35,177,178,183],{},[47,179,182],{"href":180,"rel":181},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[51],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[185,186,187,200],"table",{},[188,189,190],"thead",{},[191,192,193,197],"tr",{},[194,195,196],"th",{},"模型",[194,198,199],{},"GAIA 准确率",[201,202,203,216,224,232,240,248],"tbody",{},[191,204,205,211],{},[206,207,208],"td",{},[38,209,210],{},"Manus AI",[206,212,213],{},[38,214,215],{},">65%（SOTA）",[191,217,218,221],{},[206,219,220],{},"H2O.ai (h2oGPTe)",[206,222,223],{},"65%",[191,225,226,229],{},[206,227,228],{},"Google Langfun",[206,230,231],{},"49%",[191,233,234,237],{},[206,235,236],{},"Microsoft o1",[206,238,239],{},"38%",[191,241,242,245],{},[206,243,244],{},"OpenAI GPT-4o",[206,246,247],{},"32%",[191,249,250,253],{},[206,251,252],{},"OpenAI GPT-4 + Plugins",[206,254,255],{},"15-30%",[70,257,258],{},[35,259,260],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[148,262,264],{"id":263},"后台执行-长任务","后台执行 + 长任务",[35,266,267,268,271],{},"最特别的体验：任务下达后",[38,269,270],{},"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。",[148,273,275],{"id":274},"web-app-builder","Web App Builder",[35,277,278,279,283],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[47,280,282],{"href":156,"rel":281},[51],"Pick Right 评测"," 直白警告：",[70,285,286],{},[35,287,288],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[35,290,291,292,296,297,296,301,305],{},"复杂场景下出 bug 多，目前不建议生产部署，",[47,293,295],{"href":294},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[47,298,300],{"href":299},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[47,302,304],{"href":303},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[148,307,308],{"id":308},"桌面应用",[35,310,311],{},"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。",[148,313,314],{"id":314},"多模型路由",[35,316,317,318,321],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[38,319,320],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[23,323,324],{"id":324},"价格与运行成本",[35,326,327,330],{},[47,328,282],{"href":156,"rel":329},[51]," 公开档位：",[185,332,333,346],{},[188,334,335],{},[191,336,337,340,343],{},[194,338,339],{},"档位",[194,341,342],{},"价格",[194,344,345],{},"关键点",[201,347,348,359,370,381],{},[191,349,350,353,356],{},[206,351,352],{},"Free",[206,354,355],{},"$0",[206,357,358],{},"每日有限 credits，够 1 个高强度任务\u002F天",[191,360,361,364,367],{},[206,362,363],{},"Pro",[206,365,366],{},"$20\u002F月",[206,368,369],{},"大多数付费用户落点；中等 credit + 多模型",[191,371,372,375,378],{},[206,373,374],{},"Plus",[206,376,377],{},"$50\u002F月",[206,379,380],{},"更高 credit + 优先队列，10+ 任务\u002F周",[191,382,383,386,389],{},[206,384,385],{},"Pro+ \u002F Team",[206,387,388],{},"最高 $200\u002F月",[206,390,391],{},"最大 credit + 团队空间（功能仍有限）",[35,393,394,397],{},[38,395,396],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[35,399,400,404],{},[47,401,403],{"href":156,"rel":402},[51],"Pick Right 真实使用反馈","：",[70,406,407],{},[35,408,409],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[35,411,412,415],{},[38,413,414],{},"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。",[23,417,419],{"id":418},"上手-5-分钟","上手 5 分钟",[421,422,423,431,434,452,455,461,464],"ol",{},[82,424,425,426],{},"打开 ",[47,427,430],{"href":428,"rel":429},"https:\u002F\u002Fmanus.im",[51],"manus.im",[82,432,433],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[82,435,436,437,440,441],{},"给一个完整任务描述（",[38,438,439],{},"关键","：不要碎片化指令，给全场景）\n",[442,443,448],"pre",{"className":444,"code":446,"language":447},[445],"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",[449,450,446],"code",{"__ignoreMap":451},"",[82,453,454],{},"选模型路由（Auto 推荐）",[82,456,457,458,460],{},"提交后",[38,459,270],{},"——任务在云端跑",[82,462,463],{},"完成后邮件 \u002F 站内通知",[82,465,466],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[23,468,469],{"id":469},"国内使用注意事项",[421,471,472,482,488,494],{},[82,473,474,404,477,481],{},[38,475,476],{},"大陆访问被屏蔽",[47,478,480],{"href":49,"rel":479},[51],"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",[82,483,484,487],{},[38,485,486],{},"访问需稳定代理","：日韩 \u002F 美国节点",[82,489,490,493],{},[38,491,492],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[82,495,496,499,500,504,505,509],{},[38,497,498],{},"替代路径","：国内可考虑 ",[47,501,503],{"href":502},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark"," \u002F Devv \u002F ",[47,506,508],{"href":507},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[23,511,512],{"id":512},"与同类怎么选",[185,514,515,540],{},[188,516,517],{},[191,518,519,522,524,530,534,537],{},[194,520,521],{},"维度",[194,523,12],{},[194,525,526],{},[47,527,529],{"href":528},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[194,531,532],{},[47,533,503],{"href":502},[194,535,536],{},"ChatGPT Deep Research",[194,538,539],{},"GenAgent",[201,541,542,562,582,601,616,633,650,668],{},[191,543,544,547,550,553,556,559],{},[206,545,546],{},"核心定位",[206,548,549],{},"通用 Agent",[206,551,552],{},"AI 程序员",[206,554,555],{},"AI 搜索 + Agent",[206,557,558],{},"LLM Deep Research",[206,560,561],{},"通用",[191,563,564,567,570,573,576,579],{},[206,565,566],{},"架构",[206,568,569],{},"多 sub-agent 并行",[206,571,572],{},"单 Agent + 沙盒",[206,574,575],{},"多模型",[206,577,578],{},"单模型",[206,580,581],{},"—",[191,583,584,587,590,593,596,599],{},[206,585,586],{},"长任务",[206,588,589],{},"★★★★★ 小时级",[206,591,592],{},"★★★★★",[206,594,595],{},"★★★☆☆",[206,597,598],{},"★★★★☆",[206,600,595],{},[191,602,603,606,608,610,612,614],{},[206,604,605],{},"引用密度",[206,607,592],{},[206,609,595],{},[206,611,598],{},[206,613,595],{},[206,615,595],{},[191,617,618,621,624,627,629,631],{},[206,619,620],{},"App Builder",[206,622,623],{},"⚠️ 有但 buggy",[206,625,626],{},"❌",[206,628,626],{},[206,630,626],{},[206,632,626],{},[191,634,635,638,641,644,646,648],{},[206,636,637],{},"中文",[206,639,640],{},"⚠️ 大陆屏蔽",[206,642,643],{},"⚠️",[206,645,592],{},[206,647,643],{},[206,649,598],{},[191,651,652,654,657,660,663,666],{},[206,653,342],{},[206,655,656],{},"$20-$200",[206,658,659],{},"$500\u002F月",[206,661,662],{},"$24.99\u002F月",[206,664,665],{},"随 ChatGPT Plus",[206,667,581],{},[191,669,670,673,676,679,682,685],{},[206,671,672],{},"适合场景",[206,674,675],{},"research \u002F 数据分析",[206,677,678],{},"写代码 \u002F 修 bug",[206,680,681],{},"信息检索",[206,683,684],{},"单次深度研究",[206,686,687],{},"综合",[35,689,690,404],{},[38,691,692],{},"选 Manus 如果你",[79,694,695,701,704,707],{},[82,696,697,698],{},"重视 research \u002F 数据分析任务的 ",[38,699,700],{},"引用密度和结构化输出",[82,702,703],{},"想试\"开任务下班、明早看结果\"的工作流",[82,705,706],{},"海外 \u002F 能解决账号网络问题",[82,708,709],{},"预算 $20-$50\u002F月，重度用户",[35,711,712,404],{},[38,713,714],{},"别选 Manus 如果你",[79,716,717,726,729,732],{},[82,718,719,720,296,722,725],{},"国内裸用（",[47,721,503],{"href":502},[47,723,724],{"href":507},"Yuanbao"," 更顺）",[82,727,728],{},"想生产部署 App（Web App Builder bug 多）",[82,730,731],{},"团队协作场景（功能不完善）",[82,733,734],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[23,736,737],{"id":737},"避坑清单",[79,739,740,746,756,762,768,780,786,792],{},[82,741,742,745],{},[38,743,744],{},"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",[82,747,748,404,751,755],{},[38,749,750],{},"credit 烧得比官方页面暗示的快",[47,752,754],{"href":156,"rel":753},[51],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[82,757,758,761],{},[38,759,760],{},"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",[82,763,764,767],{},[38,765,766],{},"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",[82,769,770,773,774,779],{},[38,771,772],{},"每次任务从零开始","：没有持久 workspace，不像 ",[47,775,778],{"href":776,"rel":777},"https:\u002F\u002Fclaude.com",[51],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[82,781,782,785],{},[38,783,784],{},"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",[82,787,788,791],{},[38,789,790],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[82,793,794,797,798,803],{},[38,795,796],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[47,799,802],{"href":800,"rel":801},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[51],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[23,805,807],{"id":806},"适合-不适合","适合 \u002F 不适合",[35,809,810],{},"✅ 适合：",[79,812,813,816,819,822,825],{},[82,814,815],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[82,817,818],{},"CSV \u002F Excel 重的数据分析任务",[82,820,821],{},"长任务 + 不想盯着看（小时级）",[82,823,824],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[82,826,827],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[35,829,830],{},"❌ 不适合：",[79,832,833,836,839,842,845],{},[82,834,835],{},"生产级应用部署",[82,837,838],{},"团队协作工作流",[82,840,841],{},"预算极敏感（free 档非常受限）",[82,843,844],{},"大陆稳定访问需求",[82,846,847,848,851],{},"需要深度持久上下文（用 ",[47,849,778],{"href":776,"rel":850},[51]," \u002F ChatGPT Custom GPT 等）",[23,853,854],{"id":854},"相关阅读",[79,856,857,868,879,894],{},[82,858,859,860,296,862,864,865,867],{},"同类对比：",[47,861,529],{"href":528},[47,863,503],{"href":502}," \u002F Elicit \u002F ",[47,866,724],{"href":507}," \u002F Metaso",[82,869,870,871,296,875,878],{},"概念：",[47,872,874],{"href":873},"\u002Fwiki\u002Fai-agent.html","AI Agent",[47,876,877],{"href":873},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[82,880,881,882,296,886,296,890],{},"模型：",[47,883,885],{"href":884},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[47,887,889],{"href":888},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[47,891,893],{"href":892},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[82,895,896,897,296,901],{},"进阶：",[47,898,900],{"href":899},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[47,902,904],{"href":903},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[23,906,907],{"id":907},"来源",[79,909,910,916,919,922],{},[82,911,912,913],{},"官网：",[47,914,428],{"href":428,"rel":915},[51],[82,917,918],{},"Wikipedia：\"Manus (AI agent)\" 条目",[82,920,921],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[82,923,924],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[35,926,927,928,931],{},"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 ",[47,929,930],{"href":930},"\u002Fsubmit"," 反馈。",{"title":451,"searchDepth":933,"depth":933,"links":934},3,[935,937,938,946,947,948,949,950,951,952,953],{"id":25,"depth":936,"text":26},2,{"id":77,"depth":936,"text":77},{"id":146,"depth":936,"text":146,"children":939},[940,941,942,943,944,945],{"id":150,"depth":933,"text":151},{"id":174,"depth":933,"text":175},{"id":263,"depth":933,"text":264},{"id":274,"depth":933,"text":275},{"id":308,"depth":933,"text":308},{"id":314,"depth":933,"text":314},{"id":324,"depth":936,"text":324},{"id":418,"depth":936,"text":419},{"id":469,"depth":936,"text":469},{"id":512,"depth":936,"text":512},{"id":737,"depth":936,"text":737},{"id":806,"depth":936,"text":807},{"id":854,"depth":936,"text":854},{"id":907,"depth":936,"text":907},"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",[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":352,"price":355,"limit":984,"cn_pay":581,"note":985},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":363,"price":366,"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":374,"price":377,"limit":991,"cn_pay":643,"note":992},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":994,"price":995,"limit":996,"cn_pay":643,"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 $200\u002Fmo","2026-06-18",[1001],"onboarding\u002Fmanus-getting-started",[1003],"manus-deep-review",{"power":1005,"ux":1005,"price":933,"cn_support":955,"stability":933},5,{"title":12,"description":957},"agent\u002Fgeneral\u002Fmanus",[1009,1011,1014,1016,1018,1021],{"title":1010,"url":428},"Manus 官网",{"title":1012,"url":1013},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":1015,"url":156},"Manus AI Review 2026 (Pick Right)",{"title":1017,"url":180},"Info-Tech Manus Assessment",{"title":1019,"url":1020},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":1022,"url":1023},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[1026,1027,1028,1029,1030],"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",[1033,1034,1035,1036,1037,1038],"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。","AaSPUCWb2nxYWHxSC_BBzBy3OJG69bjyadYk9bISuwc",{"id":1043,"title":503,"alternatives":1044,"api_compatible":6,"body":1048,"category":954,"chinese_friendly":955,"cover":1564,"description":1565,"domestic":958,"extension":959,"faq":1566,"free":958,"github":6,"languages":1579,"meta":1581,"models":6,"navigation":969,"notSuitable":6,"opensource":958,"path":1582,"pillar":976,"platforms":1583,"priceTable":1586,"pricing":1597,"published":1598,"relatedPlaybooks":1599,"relatedReviews":6,"score":1601,"self_host":958,"seo":1602,"seoTitle":6,"slug":14,"sources":1603,"stem":1612,"suitable":6,"tagline":1613,"tags":1614,"updated":1039,"verdict":1619,"website":1620,"__hash__":1621},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[1045,1046,1047],"agent\u002Fgeneral\u002Fflowith","agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fgeneral\u002Falice",{"type":20,"value":1049,"toc":1552},[1050,1052,1055,1058,1061,1135,1137,1160,1165,1169,1174,1197,1202,1228,1231,1251,1254,1411,1414,1470,1472,1498,1500,1520,1522],[23,1051,26],{"id":25},[35,1053,1054],{},"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。",[35,1056,1057],{},"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）。",[23,1059,1060],{"id":1060},"核心能力",[79,1062,1063,1069,1075,1081,1087,1093,1099,1105,1111,1117,1123,1129],{},[82,1064,1065,1068],{},[38,1066,1067],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[82,1070,1071,1074],{},[38,1072,1073],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[82,1076,1077,1080],{},[38,1078,1079],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[82,1082,1083,1086],{},[38,1084,1085],{},"AI Slides","：10-15 张幻灯片含图表",[82,1088,1089,1092],{},[38,1090,1091],{},"AI Sites","：完整 landing page 一键生成",[82,1094,1095,1098],{},[38,1096,1097],{},"AI Video","：30-60s 短视频生成",[82,1100,1101,1104],{},[38,1102,1103],{},"AI Pods","：10 分钟 AI podcast 生成",[82,1106,1107,1110],{},[38,1108,1109],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[82,1112,1113,1116],{},[38,1114,1115],{},"AI Sheets","：CSV 数据分析 + 自动图表",[82,1118,1119,1122],{},[38,1120,1121],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[82,1124,1125,1128],{},[38,1126,1127],{},"iOS \u002F Android App","：移动端可用",[82,1130,1131,1134],{},[38,1132,1133],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[23,1136,342],{"id":342},[79,1138,1139,1144,1149,1154],{},[82,1140,1141,1143],{},[38,1142,352],{},"：100-200 daily credits（~3-8 简单任务）",[82,1145,1146,1148],{},[38,1147,374],{},"：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[82,1150,1151,1153],{},[38,1152,363],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[82,1155,1156,1159],{},[38,1157,1158],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[70,1161,1162],{},[35,1163,1164],{},"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。",[23,1166,1168],{"id":1167},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[35,1170,1171],{},[38,1172,1173],{},"亮点：",[79,1175,1176,1179,1182,1185,1188,1191,1194],{},[82,1177,1178],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[82,1180,1181],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[82,1183,1184],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[82,1186,1187],{},"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",[82,1189,1190],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[82,1192,1193],{},"Sparkpage 输出可直接分享 + 嵌入",[82,1195,1196],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[35,1198,1199],{},[38,1200,1201],{},"踩坑：",[79,1203,1204,1207,1210,1213,1216,1219,1222,1225],{},[82,1205,1206],{},"credit 消耗不透明，复杂任务前难估算成本",[82,1208,1209],{},"用户反馈 customer support + refund 有问题",[82,1211,1212],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[82,1214,1215],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[82,1217,1218],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[82,1220,1221],{},"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",[82,1223,1224],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[82,1226,1227],{},"Pro $249 月价格陡，中端断档",[23,1229,1230],{"id":1230},"上手",[421,1232,1233,1236,1239,1242,1245,1248],{},[82,1234,1235],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[82,1237,1238],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[82,1240,1241],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[82,1243,1244],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[82,1246,1247],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[82,1249,1250],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[23,1252,1253],{"id":1253},"对比",[185,1255,1256,1273],{},[188,1257,1258],{},[191,1259,1260,1262,1264,1267,1270],{},[194,1261,521],{},[194,1263,503],{},[194,1265,1266],{},"Flowith",[194,1268,1269],{},"Perplexity Pro",[194,1271,1272],{},"ChatGPT Plus",[201,1274,1275,1291,1306,1320,1334,1350,1365,1380,1395],{},[191,1276,1277,1279,1282,1285,1288],{},[206,1278,1067],{},[206,1280,1281],{},"✅ 多 Agent",[206,1283,1284],{},"✅ Neo 自治",[206,1286,1287],{},"–",[206,1289,1290],{},"Operator",[191,1292,1293,1296,1299,1302,1304],{},[206,1294,1295],{},"可视化输出",[206,1297,1298],{},"✅ Sparkpage",[206,1300,1301],{},"✅ 画布",[206,1303,1287],{},[206,1305,1287],{},[191,1307,1308,1311,1314,1316,1318],{},[206,1309,1310],{},"真实电话调用",[206,1312,1313],{},"✅ Call For Me",[206,1315,1287],{},[206,1317,1287],{},[206,1319,1287],{},[191,1321,1322,1325,1328,1330,1332],{},[206,1323,1324],{},"一键建站",[206,1326,1327],{},"✅ AI Sites",[206,1329,1287],{},[206,1331,1287],{},[206,1333,1287],{},[191,1335,1336,1339,1342,1345,1347],{},[206,1337,1338],{},"视频 \u002F 音频生成",[206,1340,1341],{},"✅ Video \u002F Pods",[206,1343,1344],{},"部分",[206,1346,1287],{},[206,1348,1349],{},"Sora（独立）",[191,1351,1352,1355,1358,1360,1363],{},[206,1353,1354],{},"引用透明",[206,1356,1357],{},"中",[206,1359,1287],{},[206,1361,1362],{},"✅ 顶级",[206,1364,1344],{},[191,1366,1367,1370,1373,1376,1378],{},[206,1368,1369],{},"起价",[206,1371,1372],{},"$25\u002F月（Plus）",[206,1374,1375],{},"$19.90\u002F月",[206,1377,366],{},[206,1379,366],{},[191,1381,1382,1385,1388,1391,1393],{},[206,1383,1384],{},"最贵",[206,1386,1387],{},"$249\u002F月",[206,1389,1390],{},"$499.90\u002F月",[206,1392,366],{},[206,1394,995],{},[191,1396,1397,1400,1403,1406,1409],{},[206,1398,1399],{},"适合",[206,1401,1402],{},"一站式 Super Agent",[206,1404,1405],{},"画布深度",[206,1407,1408],{},"搜索引用",[206,1410,561],{},[23,1412,1413],{"id":1413},"避坑",[79,1415,1416,1422,1428,1434,1440,1446,1452,1458,1464],{},[82,1417,1418,1421],{},[38,1419,1420],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[82,1423,1424,1427],{},[38,1425,1426],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[82,1429,1430,1433],{},[38,1431,1432],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[82,1435,1436,1439],{},[38,1437,1438],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[82,1441,1442,1445],{},[38,1443,1444],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[82,1447,1448,1451],{},[38,1449,1450],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[82,1453,1454,1457],{},[38,1455,1456],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[82,1459,1460,1463],{},[38,1461,1462],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[82,1465,1466,1469],{},[38,1467,1468],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[23,1471,807],{"id":806},[79,1473,1474,1477,1480,1483,1486,1489,1492,1495],{},[82,1475,1476],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[82,1478,1479],{},"✅ Plus $25 重度多模型不限 chat 用户",[82,1481,1482],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[82,1484,1485],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[82,1487,1488],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[82,1490,1491],{},"❌ 学术严谨场景",[82,1493,1494],{},"❌ 预算极紧",[82,1496,1497],{},"❌ 要画布 + 多线程深度（用 Flowith）",[23,1499,854],{"id":854},[79,1501,1502,1508,1514],{},[82,1503,1504],{},[47,1505,1507],{"href":1506},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","Flowith 评测",[82,1509,1510],{},[47,1511,1513],{"href":1512},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[82,1515,1516],{},[47,1517,1519],{"href":1518},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice","Alice 评测",[23,1521,907],{"id":907},[421,1523,1524,1531,1538,1545],{},[82,1525,1526,1527],{},"Genspark Pricing 官方 ",[47,1528,1529],{"href":1529,"rel":1530},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[51],[82,1532,1533,1534],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[47,1535,1536],{"href":1536,"rel":1537},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[51],[82,1539,1540,1541],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[47,1542,1543],{"href":1543,"rel":1544},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[51],[82,1546,1547,1548],{},"Lindy — Genspark Features 2026 Tested ",[47,1549,1550],{"href":1550,"rel":1551},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[51],{"title":451,"searchDepth":933,"depth":933,"links":1553},[1554,1555,1556,1557,1558,1559,1560,1561,1562,1563],{"id":25,"depth":936,"text":26},{"id":1060,"depth":936,"text":1060},{"id":342,"depth":936,"text":342},{"id":1167,"depth":936,"text":1168},{"id":1230,"depth":936,"text":1230},{"id":1253,"depth":936,"text":1253},{"id":1413,"depth":936,"text":1413},{"id":806,"depth":936,"text":807},{"id":854,"depth":936,"text":854},{"id":907,"depth":936,"text":907},"\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。",[1567,1570,1573,1576],{"q":1568,"a":1569},"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":1571,"a":1572},"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":1574,"a":1575},"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":1577,"a":1578},"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。",[962,961,1580],"multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",[978,1584,1585],"ios","android",[1587,1590,1594],{"plan":352,"price":355,"features":1588,"notes":1589},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究","试水",{"plan":374,"price":1591,"features":1592,"notes":1593},"$25\u002F月","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":363,"price":1387,"features":1595,"notes":1596},"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","2026-06-19",[1600],"onboarding\u002Fsuper-agent-workflow",{"power":1005,"ux":955,"price":933,"cn_support":933,"stability":955},{"title":503,"description":1565},[1604,1606,1608,1610],{"name":1605,"url":1529,"accessed":1039},"Genspark 官网 + Pricing",{"name":1607,"url":1536,"accessed":1039},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":1609,"url":1543,"accessed":1039},"Rimo — Genspark 2026 + ARR $250M",{"name":1611,"url":1550,"accessed":1039},"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",[1615,1036,1616,1617,1618],"super-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",1783006599848]