[{"data":1,"prerenderedAt":2705},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"review-manus-deep-review":9,"review-related-manus-deep-review":669},{"tools":4,"reviews":5},70,14,{"tools":4,"reviews":5,"playbooks":7,"news":8},19,13,{"id":10,"title":11,"body":12,"cover":649,"description":650,"extension":651,"meta":652,"navigation":653,"path":654,"published":655,"relatedTools":656,"seo":660,"stem":661,"tags":662,"updated":655,"verdict":667,"__hash__":668},"review\u002Freview\u002Fmanus-deep-review.md","Manus 深度评测：通用 Agent 天花板值不值 $20\u002F月？国内还能用吗",{"type":13,"value":14,"toc":635},"minimark",[15,19,32,39,53,57,64,78,84,98,102,112,118,124,146,154,226,229,233,236,241,256,263,267,270,295,301,313,319,329,332,338,399,405,411,416,422,425,562,568,581,585,592,602,605],[16,17,18],"h2",{"id":18},"一句话结论",[20,21,22,23,27,28,31],"p",{},"如果你需要",[24,25,26],"strong",{},"深度研究 \u002F 复杂调研 \u002F 数据分析报告","——那种正常人要花 4–8 小时才能做完的活——",[24,29,30],{},"Manus 在 2026 年是通用 Agent 里体感最好的选择之一","。多 sub-agent 并行、自动模型路由、任务可以关掉浏览器让它在云端跑，交付物的引用密度和结构化程度都明显高于 ChatGPT Deep Research。",[20,33,34,35,38],{},"但是它不便宜、也不适合所有场景：",[24,36,37],{},"中国大陆已被官方屏蔽访问","、credit 烧得比标价快、Web App Builder 到今天仍不能用于生产、团队协作能力弱。想清楚这几点再决定要不要付 $20。",[40,41,46],"div",{"className":42},[43,44,45],"card","p-5","my-4",[20,47,48,49,52],{},"省钱建议：先用 ",[24,50,51],{},"Free 档跑 3–5 个真实任务","评估 credit 消耗速度和交付质量。跑通后再决定要不要上 $20\u002F$50\u002F$200 档。Free 档就够看清 Manus 是不是你要的答案。",[16,54,56],{"id":55},"manus-真正在解决的问题","Manus 真正在解决的问题",[20,58,59,60,63],{},"社区讨论\"为什么 Manus 火\"经常聚焦在\"多 Agent、字节挖来的团队、Meta 想收购\"。但深一层看，Manus 是在解决",[24,61,62],{},"通用 Agent 长期以来的三个卡点","：",[20,65,66,69,70,73,74,77],{},[24,67,68],{},"第一个卡点：单模型天花板。"," ChatGPT \u002F Claude 用一个模型端到端跑所有步骤——浏览、分析、写代码、写文档、总结。",[24,71,72],{},"每个模型都有明显的短板","：GPT-5 写代码不如 Claude Sonnet 4；Claude 长文档总结不如 Kimi K2；GPT-5 数据分析和图表输出不如自研专业化模型。Manus 用多个 sub-agent 并行 + 主 orchestrator 路由到最合适的模型，等于",[24,75,76],{},"每一步都用最擅长的选手","，输出质量自然更稳。",[20,79,80,83],{},[24,81,82],{},"第二个卡点：交互式模型的疲劳感。"," ChatGPT \u002F Claude 是\"一问一答\"，做 4 小时深度研究要盯着屏幕、追问、修改、继续。Manus 是**\"提交任务 → 关掉浏览器 → 明天早上看结果\"**这套异步工作流，跟传统数据分析师工作方式接近，反而更适合复杂任务。",[20,85,86,89,90,93,94,97],{},[24,87,88],{},"第三个卡点：引用密度。"," 用 ChatGPT Deep Research 或 Perplexity 做研究报告，你会发现引用经常\"看起来支撑观点、其实原文没这个意思\"。这是",[24,91,92],{},"单个 LLM 生成阶段幻觉","的锅。Manus 的多 sub-agent 里有专门的",[24,95,96],{},"引用检查子 Agent","，跑完后再合成，引用错配率明显更低。这是它在 research 场景吸引付费用户的核心。",[16,99,101],{"id":100},"多-sub-agent-到底强在哪里","多 sub-agent 到底强在哪里",[20,103,104,105,63],{},"按 ",[106,107,111],"a",{"href":108,"rel":109},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[110],"nofollow","Pick Right 2026-04 评测",[113,114,115],"blockquote",{},[20,116,117],{},"\"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.\"",[20,119,120,121,63],{},"主 orchestrator 拆解任务、分配到各专业子 Agent，并行执行后再由 synthesis 子 Agent 合成结果。",[24,122,123],{},"这个架构的直接收益",[125,126,127,134,140],"ul",{},[128,129,130,133],"li",{},[24,131,132],{},"引用密度 x 2","：browsing 子 Agent 负责获取、synthesis 子 Agent 负责组织，各司其职，不像单模型那样漏引或错引。",[128,135,136,139],{},[24,137,138],{},"任务时长 \u002F 2","：并行执行让原本串行 8 小时的任务在云端 3 小时跑完。",[128,141,142,145],{},[24,143,144],{},"成本更可控","：每个子 Agent 只干自己那一段，短 context + 专门模型，token 效率更高。",[20,147,104,148,153],{},[106,149,152],{"href":150,"rel":151},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[110],"Info-Tech Research"," 引用的 GAIA benchmark（General AI Assistants）：",[155,156,157,170],"table",{},[158,159,160],"thead",{},[161,162,163,167],"tr",{},[164,165,166],"th",{},"模型",[164,168,169],{},"GAIA 准确率",[171,172,173,186,194,202,210,218],"tbody",{},[161,174,175,181],{},[176,177,178],"td",{},[24,179,180],{},"Manus AI",[176,182,183],{},[24,184,185],{},">65%（SOTA）",[161,187,188,191],{},[176,189,190],{},"H2O.ai (h2oGPTe)",[176,192,193],{},"65%",[161,195,196,199],{},[176,197,198],{},"Google Langfun",[176,200,201],{},"49%",[161,203,204,207],{},[176,205,206],{},"Microsoft o1",[176,208,209],{},"38%",[161,211,212,215],{},[176,213,214],{},"OpenAI GPT-4o",[176,216,217],{},"32%",[161,219,220,223],{},[176,221,222],{},"OpenAI GPT-4 + Plugins",[176,224,225],{},"15-30%",[20,227,228],{},"注：基准是 Manus 官方公布，需第三方验证；即便打八折，也仍然是这一档产品里的头部。",[16,230,232],{"id":231},"开着任务下班体感","\"开着任务下班\"体感",[20,234,235],{},"这是最容易被文字低估、真上手就理解的差异。举个真实场景：",[113,237,238],{},[20,239,240],{},"\"调研欧洲前 10 大 EV 充电网络（覆盖率、价格、可靠性、充电速度），产出带引用的 Markdown 对比表。\"",[125,242,243,250],{},[128,244,245,246,249],{},"用 ",[24,247,248],{},"ChatGPT Deep Research","：你要点\"研究\"、盯 15–30 分钟、追问 5 次、手动整理成表。全程要人在。",[128,251,245,252,255],{},[24,253,254],{},"Manus","：提交任务、关掉浏览器、去做别的。2–4 小时后邮件通知，收到一份带 20+ 来源引用的完整 Markdown 表。",[20,257,258,259,262],{},"这个体感差异在",[24,260,261],{},"深度研究 \u002F 竞品分析 \u002F 市场调研"," 场景是决定性的。用一次就回不去了。",[16,264,266],{"id":265},"能力天花板5-类场景不推荐用-manus","能力天花板：5 类场景不推荐用 Manus",[20,268,269],{},"诚实地说：Manus 有几个明确的弱项。",[20,271,272,275,276,280,281,285,286,285,290,294],{},[24,273,274],{},"生产级 Web App","：Web App Builder 演示很漂亮，但复杂场景经常翻车。",[106,277,279],{"href":108,"rel":278},[110],"Pick Right 评测"," 直白说\"buggy enough that I wouldn't ship to production from it yet\"。真要交付网站，",[106,282,284],{"href":283},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[106,287,289],{"href":288},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[106,291,293],{"href":292},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 更稳。",[20,296,297,300],{},[24,298,299],{},"团队协作","：目前偏单人产品，Pro+ \u002F Team 档的\"团队工作空间\"功能有限，没有 Notion 那种协作粒度。多人并行做研究要各买各的账号。",[20,302,303,306,307,312],{},[24,304,305],{},"跨会话上下文","：每次任务从零开始，没有持久 workspace。你要在项目 A 之上做项目 B，Manus 不会\"记得\"A。跨会话上下文用 ",[106,308,311],{"href":309,"rel":310},"https:\u002F\u002Fclaude.com",[110],"Claude Projects"," \u002F ChatGPT Custom GPT 更合适。",[20,314,315,318],{},[24,316,317],{},"大陆访问","：Butterfly Effect 2025 已官方屏蔽中国大陆访问 + 关闭中文社交账号。国内裸用不通，需要稳定海外网络。",[20,320,321,324,325,328],{},[24,322,323],{},"成本极敏感","：Free 档能试水，付费档 credit 烧得比标价暗示的快。",[24,326,327],{},"每次任务一旦启动无法控预算","——只能 cancel 或等它跑完。对预算敏感的场景（学生、独立开发者）应先充分评估。",[16,330,331],{"id":331},"价格与运行成本",[20,333,334,337],{},[106,335,279],{"href":108,"rel":336},[110]," 公开档位：",[155,339,340,353],{},[158,341,342],{},[161,343,344,347,350],{},[164,345,346],{},"档位",[164,348,349],{},"价格",[164,351,352],{},"关键点",[171,354,355,366,377,388],{},[161,356,357,360,363],{},[176,358,359],{},"Free",[176,361,362],{},"$0",[176,364,365],{},"每日有限 credits，够 1 个高强度任务\u002F天",[161,367,368,371,374],{},[176,369,370],{},"Pro",[176,372,373],{},"$20\u002F月",[176,375,376],{},"大多数付费用户落点，中等 credit + 多模型",[161,378,379,382,385],{},[176,380,381],{},"Plus",[176,383,384],{},"$50\u002F月",[176,386,387],{},"更高 credit + 优先队列，10+ 任务\u002F周",[161,389,390,393,396],{},[176,391,392],{},"Pro+\u002FTeam",[176,394,395],{},"最高 $200\u002F月",[176,397,398],{},"最大 credit + 团队空间（功能仍有限）",[20,400,401,404],{},[24,402,403],{},"credit 经济学","：每个动作（浏览、代码运行、模型调用）都消耗 credits。",[20,406,407,408,63],{},"真实反馈来自 ",[106,409,279],{"href":108,"rel":410},[110],[113,412,413],{},[20,414,415],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[20,417,418,421],{},[24,419,420],{},"建议","：不要按标价决定档位，用 Free 档跑 3–5 个真实任务测消耗速度。真跑一遍就知道你到底要 $20 \u002F $50 还是 $200。",[16,423,424],{"id":424},"与同类怎么选",[155,426,427,450],{},[158,428,429],{},[161,430,431,434,436,442,448],{},[164,432,433],{},"维度",[164,435,254],{},[164,437,438],{},[106,439,441],{"href":440},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[164,443,444],{},[106,445,447],{"href":446},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark",[164,449,248],{},[171,451,452,469,486,503,516,531,546],{},[161,453,454,457,460,463,466],{},[176,455,456],{},"核心定位",[176,458,459],{},"通用 Agent",[176,461,462],{},"AI 程序员",[176,464,465],{},"AI 搜索 + Agent",[176,467,468],{},"LLM Deep Research",[161,470,471,474,477,480,483],{},[176,472,473],{},"架构",[176,475,476],{},"多 sub-agent 并行",[176,478,479],{},"单 Agent + 沙盒",[176,481,482],{},"多模型",[176,484,485],{},"单模型",[161,487,488,491,494,497,500],{},[176,489,490],{},"长任务",[176,492,493],{},"★★★★★ 小时级",[176,495,496],{},"★★★★★",[176,498,499],{},"★★★☆☆",[176,501,502],{},"★★★★☆",[161,504,505,508,510,512,514],{},[176,506,507],{},"引用密度",[176,509,496],{},[176,511,499],{},[176,513,502],{},[176,515,499],{},[161,517,518,521,524,527,529],{},[176,519,520],{},"App Builder",[176,522,523],{},"⚠️ 有但 buggy",[176,525,526],{},"❌",[176,528,526],{},[176,530,526],{},[161,532,533,536,539,542,544],{},[176,534,535],{},"中文 \u002F 大陆",[176,537,538],{},"⚠️ 屏蔽",[176,540,541],{},"⚠️",[176,543,496],{},[176,545,541],{},[161,547,548,550,553,556,559],{},[176,549,349],{},[176,551,552],{},"$20-$200",[176,554,555],{},"$500\u002F月",[176,557,558],{},"$24.99\u002F月",[176,560,561],{},"随 ChatGPT Plus",[20,563,564,567],{},[24,565,566],{},"选 Manus 如果","：重视 research \u002F 数据分析的引用密度和结构化输出，能解决海外账号+网络。",[20,569,570,573,574,285,576,580],{},[24,571,572],{},"别选 Manus 如果","：国内裸用（去 ",[106,575,447],{"href":446},[106,577,579],{"href":578},"\u002Fagent\u002Fgeneral\u002Fflowith.html","Yuanbao","）、生产 App（去 Bolt \u002F Lovable）、团队协作重（暂无满足产品）、预算 \u003C $20（Free 档评估即可）。",[16,582,584],{"id":583},"aiho-推荐结论","AIHO 推荐结论",[20,586,587,588,591],{},"Manus 是 2026 年通用 Agent 里",[24,589,590],{},"最能刷新体感天花板","的产品，尤其是给做研究、咨询、竞品分析、市场洞察的人。多 sub-agent + 自动模型路由 + 云端异步执行——这几件事组合起来，让\"AI 帮我做完深度调研\"从概念变成了每周都可用的日常。",[20,593,594,595,598,599,601],{},"但它",[24,596,597],{},"不是 ChatGPT 平替","。日常 Q&A、写代码、日程管理、文档整理，用 ChatGPT \u002F Claude \u002F ",[106,600,447],{"href":446}," 更合适、更便宜、也更稳。Manus 的甜点区是\"需要 4+ 小时深度产出的复杂任务\"，别拿它做\"5 分钟就能搞定的小活\"，性价比就没了。",[16,603,604],{"id":604},"相关阅读",[125,606,607,613,619,625,630],{},[128,608,609],{},[106,610,612],{"href":611},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡：通用 Agent 天花板",[128,614,615],{},[106,616,618],{"href":617},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark：通用 Agent 怎么选",[128,620,621],{},[106,622,624],{"href":623},"\u002Fplaybook\u002Fonboarding\u002Fmanus-getting-started.html","Manus 上手指南：注册、任务、Prompt 与省 credit 技巧",[128,626,627],{},[106,628,629],{"href":440},"Devin 工具卡：AI 程序员 Agent",[128,631,632],{},[106,633,634],{"href":446},"Genspark 工具卡：AI 搜索 + Agent",{"title":636,"searchDepth":637,"depth":637,"links":638},"",3,[639,641,642,643,644,645,646,647,648],{"id":18,"depth":640,"text":18},2,{"id":55,"depth":640,"text":56},{"id":100,"depth":640,"text":101},{"id":231,"depth":640,"text":232},{"id":265,"depth":640,"text":266},{"id":331,"depth":640,"text":331},{"id":424,"depth":640,"text":424},{"id":583,"depth":640,"text":584},{"id":604,"depth":640,"text":604},"\u002Fog\u002Freview\u002Fmanus.png","Manus 真实评测：Butterfly Effect 出品的通用 AI Agent，多 sub-agent 并行架构 + 多模型路由。本文写它真正解决的问题、'开着任务下班'的体感是什么样、和 Genspark\u002FDevin 的差距，以及 5 类不推荐用 Manus 的场景。AIHO 编辑部基于官方文档与多份评测整理。","md",{},true,"\u002Freview\u002Fmanus-deep-review","2026-07-02",[657,658,659],"agent\u002Fgeneral\u002Fmanus","agent\u002Fgeneral\u002Fgenspark","agent\u002Fgeneral\u002Fflowith",{"title":11,"description":650},"review\u002Fmanus-deep-review",[254,663,664,665,666],"AI Agent","Butterfly Effect","Deep Research","深度评测","通用 Agent 体感天花板的代表作。多 sub-agent 并行 + 自动模型路由让 research\u002F数据分析的引用密度和结构化明显好于 ChatGPT Deep Research。代价是慢、credit 烧得快、Web App Builder 仍有 bug、中国大陆访问被官方屏蔽。","i_N_XJDvwLFAQ_K37lW4SHr8dx7-lRVusPuJDAik6vU",[670,1244,1800],{"id":671,"title":672,"alternatives":673,"api_compatible":676,"body":677,"category":1172,"chinese_friendly":1173,"cover":1174,"description":1175,"domestic":1176,"extension":651,"faq":1177,"free":1176,"github":676,"languages":1190,"meta":1194,"models":676,"navigation":653,"notSuitable":676,"opensource":1176,"path":1195,"pillar":1196,"platforms":1197,"priceTable":1201,"pricing":1217,"published":1218,"relatedPlaybooks":1219,"relatedReviews":676,"score":1221,"self_host":1176,"seo":1223,"seoTitle":676,"slug":659,"sources":1224,"stem":1234,"suitable":676,"tagline":1235,"tags":1236,"updated":1227,"verdict":1242,"website":1137,"__hash__":1243},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[658,674,675],"agent\u002Fgeneral\u002Falice","agent\u002Fdesktop\u002Fclaude-desktop",null,{"type":13,"value":678,"toc":1160},[679,683,686,689,692,754,756,780,785,789,794,817,822,848,851,872,875,1010,1013,1075,1079,1105,1107,1127,1130],[16,680,682],{"id":681},"tldr","TL;DR",[20,684,685],{},"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。",[20,687,688],{},"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。",[16,690,691],{"id":691},"核心能力",[125,693,694,700,706,712,718,724,730,736,742,748],{},[128,695,696,699],{},[24,697,698],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[128,701,702,705],{},[24,703,704],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[128,707,708,711],{},[24,709,710],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[128,713,714,717],{},[24,715,716],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[128,719,720,723],{},[24,721,722],{},"多线程并行","：同时跑多个 thread，画布一览",[128,725,726,729],{},[24,727,728],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[128,731,732,735],{},[24,733,734],{},"iOS App","：2026 上线，移动 workspace 访问",[128,737,738,741],{},[24,739,740],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[128,743,744,747],{},[24,745,746],{},"商业授权","：Pro+ 包含商业使用权",[128,749,750,753],{},[24,751,752],{},"Web Control UI","：浏览器原生，多设备同步",[16,755,349],{"id":349},[125,757,758,763,768,774],{},[128,759,760,762],{},[24,761,359],{},"：$0；300 一次性 credits（试水级）",[128,764,765,767],{},[24,766,370],{},"：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[128,769,770,773],{},[24,771,772],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[128,775,776,779],{},[24,777,778],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[113,781,782],{},[20,783,784],{},"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。",[16,786,788],{"id":787},"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）",[20,790,791],{},[24,792,793],{},"亮点：",[125,795,796,799,802,805,808,811,814],{},[128,797,798],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[128,800,801],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[128,803,804],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[128,806,807],{},"40+ 模型一窗体内切换 + 对比",[128,809,810],{},"多设备同步流畅",[128,812,813],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[128,815,816],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[20,818,819],{},[24,820,821],{},"踩坑：",[125,823,824,827,830,833,836,839,842,845],{},[128,825,826],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[128,828,829],{},"学习曲线明显，画布操作 + 节点连线要花时间",[128,831,832],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[128,834,835],{},"Free 300 credits 不够体验完整流程",[128,837,838],{},"Agent Neo 偶尔『过度自治』产出不可控",[128,840,841],{},"移动 iOS 体验不如桌面 Web",[128,843,844],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[128,846,847],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[16,849,850],{"id":850},"上手",[852,853,854,857,860,863,866,869],"ol",{},[128,855,856],{},"flowith.io → Free 注册 → 拿 300 credits",[128,858,859],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[128,861,862],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[128,864,865],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[128,867,868],{},"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",[128,870,871],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[16,873,874],{"id":874},"对比",[155,876,877,893],{},[158,878,879],{},[161,880,881,883,885,887,890],{},[164,882,433],{},[164,884,672],{},[164,886,447],{},[164,888,889],{},"ChatGPT",[164,891,892],{},"Claude",[171,894,895,911,928,945,962,978,993],{},[161,896,897,900,903,906,909],{},[176,898,899],{},"形态",[176,901,902],{},"无限画布 + 节点",[176,904,905],{},"多 Agent + Sparkpage",[176,907,908],{},"线性 chat",[176,910,908],{},[161,912,913,916,919,922,925],{},[176,914,915],{},"自治 agent",[176,917,918],{},"✅ Neo 1000+ 步",[176,920,921],{},"✅ Super Agent",[176,923,924],{},"✅ Operator",[176,926,927],{},"❌（API 走）",[161,929,930,933,936,939,942],{},[176,931,932],{},"上下文",[176,934,935],{},"10M token",[176,937,938],{},"200K",[176,940,941],{},"1M（GPT-5）",[176,943,944],{},"1M（Claude）",[161,946,947,950,953,956,959],{},[176,948,949],{},"模型数",[176,951,952],{},"40+",[176,954,955],{},"多家",[176,957,958],{},"OpenAI",[176,960,961],{},"Anthropic",[161,963,964,967,970,973,976],{},[176,965,966],{},"Knowledge base",[176,968,969],{},"✅ Seeds",[176,971,972],{},"–",[176,974,975],{},"Projects",[176,977,975],{},[161,979,980,983,986,989,991],{},[176,981,982],{},"起价",[176,984,985],{},"$19.90\u002F月",[176,987,988],{},"$25\u002F月",[176,990,373],{},[176,992,373],{},[161,994,995,998,1001,1004,1007],{},[176,996,997],{},"适合",[176,999,1000],{},"深度多线程 + 长任务",[176,1002,1003],{},"全能 Super Agent",[176,1005,1006],{},"通用",[176,1008,1009],{},"Coding \u002F 长文",[16,1011,1012],{"id":1012},"避坑",[125,1014,1015,1021,1027,1033,1039,1045,1051,1057,1063,1069],{},[128,1016,1017,1020],{},[24,1018,1019],{},"从 Pro 起","：Free 300 credits 玩不出深度",[128,1022,1023,1026],{},[24,1024,1025],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[128,1028,1029,1032],{},[24,1030,1031],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[128,1034,1035,1038],{},[24,1036,1037],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[128,1040,1041,1044],{},[24,1042,1043],{},"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",[128,1046,1047,1050],{},[24,1048,1049],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[128,1052,1053,1056],{},[24,1054,1055],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[128,1058,1059,1062],{},[24,1060,1061],{},"移动端","：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[128,1064,1065,1068],{},[24,1066,1067],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[128,1070,1071,1074],{},[24,1072,1073],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[16,1076,1078],{"id":1077},"适合-不适合","适合 \u002F 不适合",[125,1080,1081,1084,1087,1090,1093,1096,1099,1102],{},[128,1082,1083],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[128,1085,1086],{},"✅ 要 10M token 超长上下文做综合分析",[128,1088,1089],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[128,1091,1092],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[128,1094,1095],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[128,1097,1098],{},"❌ 预算极紧 + 不愿学习曲线",[128,1100,1101],{},"❌ 线性思维 + 单线程偏好",[128,1103,1104],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[16,1106,604],{"id":604},[125,1108,1109,1115,1121],{},[128,1110,1111],{},[106,1112,1114],{"href":1113},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark","Genspark 评测",[128,1116,1117],{},[106,1118,1120],{"href":1119},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice","Alice 评测",[128,1122,1123],{},[106,1124,1126],{"href":1125},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[16,1128,1129],{"id":1129},"来源",[852,1131,1132,1139,1146,1153],{},[128,1133,1134,1135],{},"Flowith 官网 + Pricing ",[106,1136,1137],{"href":1137,"rel":1138},"https:\u002F\u002Fflowith.io",[110],[128,1140,1141,1142],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[106,1143,1144],{"href":1144,"rel":1145},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[110],[128,1147,1148,1149],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[106,1150,1151],{"href":1151,"rel":1152},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[110],[128,1154,1155,1156],{},"OpenTools — Flowith Review May 2026 ",[106,1157,1158],{"href":1158,"rel":1159},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[110],{"title":636,"searchDepth":637,"depth":637,"links":1161},[1162,1163,1164,1165,1166,1167,1168,1169,1170,1171],{"id":681,"depth":640,"text":682},{"id":691,"depth":640,"text":691},{"id":349,"depth":640,"text":349},{"id":787,"depth":640,"text":788},{"id":850,"depth":640,"text":850},{"id":874,"depth":640,"text":874},{"id":1012,"depth":640,"text":1012},{"id":1077,"depth":640,"text":1078},{"id":604,"depth":640,"text":604},{"id":1129,"depth":640,"text":1129},"general",4,"\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。",false,[1178,1181,1184,1187],{"q":1179,"a":1180},"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":1182,"a":1183},"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":1185,"a":1186},"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":1188,"a":1189},"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。",[1191,1192,1193],"en","zh","multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","agent",[1198,1199,1200],"web","ios","macos-flowithos",[1202,1206,1209,1213],{"plan":1203,"price":362,"features":1204,"notes":1205},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":370,"price":985,"features":1207,"notes":1208},"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":772,"price":1210,"features":1211,"notes":1212},"$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":778,"price":1214,"features":1215,"notes":1216},"$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）","2026-06-19",[1220],"onboarding\u002Fcanvas-ai-research-workflow",{"power":1222,"ux":1173,"price":637,"cn_support":1173,"stability":1173},5,{"title":672,"description":1175},[1225,1228,1230,1232],{"name":1226,"url":1137,"accessed":1227},"Flowith 官网","2026-06-24",{"name":1229,"url":1144,"accessed":1227},"Toolworthy — Flowith Review 2026",{"name":1231,"url":1151,"accessed":1227},"BlockSentient — Flowith 2026 详细评测",{"name":1233,"url":1158,"accessed":1227},"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",[1237,1238,1239,1240,1241],"canvas","multi-model","agentic","knowledge-base","flowith","线性 chat 装不下的复杂深度工作专用——研究 \u002F 报告 \u002F 网站搭建 \u002F 长期项目首选画布。简单问答 \u002F 短任务用 ChatGPT \u002F Claude 即可，Flowith 学习曲线 + credit 消耗都偏高。","Ocr650sP0dPPxhzx-Q848gqC9-t47_UOXArTaeHdbJg",{"id":1245,"title":447,"alternatives":1246,"api_compatible":676,"body":1247,"category":1172,"chinese_friendly":1173,"cover":1747,"description":1748,"domestic":1176,"extension":651,"faq":1749,"free":1176,"github":676,"languages":1762,"meta":1763,"models":676,"navigation":653,"notSuitable":676,"opensource":1176,"path":1113,"pillar":1196,"platforms":1764,"priceTable":1766,"pricing":1775,"published":1218,"relatedPlaybooks":1776,"relatedReviews":676,"score":1778,"self_host":1176,"seo":1779,"seoTitle":676,"slug":658,"sources":1780,"stem":1789,"suitable":676,"tagline":1790,"tags":1791,"updated":1227,"verdict":1797,"website":1798,"__hash__":1799},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[659,675,674],{"type":13,"value":1248,"toc":1735},[1249,1251,1254,1257,1259,1333,1335,1358,1363,1367,1371,1394,1398,1424,1426,1446,1448,1600,1602,1658,1660,1686,1688,1703,1705],[16,1250,682],{"id":681},[20,1252,1253],{},"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。",[20,1255,1256],{},"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）。",[16,1258,691],{"id":691},[125,1260,1261,1267,1273,1279,1285,1291,1297,1303,1309,1315,1321,1327],{},[128,1262,1263,1266],{},[24,1264,1265],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[128,1268,1269,1272],{},[24,1270,1271],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[128,1274,1275,1278],{},[24,1276,1277],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[128,1280,1281,1284],{},[24,1282,1283],{},"AI Slides","：10-15 张幻灯片含图表",[128,1286,1287,1290],{},[24,1288,1289],{},"AI Sites","：完整 landing page 一键生成",[128,1292,1293,1296],{},[24,1294,1295],{},"AI Video","：30-60s 短视频生成",[128,1298,1299,1302],{},[24,1300,1301],{},"AI Pods","：10 分钟 AI podcast 生成",[128,1304,1305,1308],{},[24,1306,1307],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[128,1310,1311,1314],{},[24,1312,1313],{},"AI Sheets","：CSV 数据分析 + 自动图表",[128,1316,1317,1320],{},[24,1318,1319],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[128,1322,1323,1326],{},[24,1324,1325],{},"iOS \u002F Android App","：移动端可用",[128,1328,1329,1332],{},[24,1330,1331],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[16,1334,349],{"id":349},[125,1336,1337,1342,1347,1352],{},[128,1338,1339,1341],{},[24,1340,359],{},"：100-200 daily credits（~3-8 简单任务）",[128,1343,1344,1346],{},[24,1345,381],{},"：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[128,1348,1349,1351],{},[24,1350,370],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[128,1353,1354,1357],{},[24,1355,1356],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[113,1359,1360],{},[20,1361,1362],{},"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。",[16,1364,1366],{"id":1365},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[20,1368,1369],{},[24,1370,793],{},[125,1372,1373,1376,1379,1382,1385,1388,1391],{},[128,1374,1375],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[128,1377,1378],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[128,1380,1381],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[128,1383,1384],{},"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",[128,1386,1387],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[128,1389,1390],{},"Sparkpage 输出可直接分享 + 嵌入",[128,1392,1393],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[20,1395,1396],{},[24,1397,821],{},[125,1399,1400,1403,1406,1409,1412,1415,1418,1421],{},[128,1401,1402],{},"credit 消耗不透明，复杂任务前难估算成本",[128,1404,1405],{},"用户反馈 customer support + refund 有问题",[128,1407,1408],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[128,1410,1411],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[128,1413,1414],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[128,1416,1417],{},"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",[128,1419,1420],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[128,1422,1423],{},"Pro $249 月价格陡，中端断档",[16,1425,850],{"id":850},[852,1427,1428,1431,1434,1437,1440,1443],{},[128,1429,1430],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[128,1432,1433],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[128,1435,1436],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[128,1438,1439],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[128,1441,1442],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[128,1444,1445],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[16,1447,874],{"id":874},[155,1449,1450,1466],{},[158,1451,1452],{},[161,1453,1454,1456,1458,1460,1463],{},[164,1455,433],{},[164,1457,447],{},[164,1459,672],{},[164,1461,1462],{},"Perplexity Pro",[164,1464,1465],{},"ChatGPT Plus",[171,1467,1468,1483,1498,1512,1526,1542,1557,1570,1585],{},[161,1469,1470,1472,1475,1478,1480],{},[176,1471,1265],{},[176,1473,1474],{},"✅ 多 Agent",[176,1476,1477],{},"✅ Neo 自治",[176,1479,972],{},[176,1481,1482],{},"Operator",[161,1484,1485,1488,1491,1494,1496],{},[176,1486,1487],{},"可视化输出",[176,1489,1490],{},"✅ Sparkpage",[176,1492,1493],{},"✅ 画布",[176,1495,972],{},[176,1497,972],{},[161,1499,1500,1503,1506,1508,1510],{},[176,1501,1502],{},"真实电话调用",[176,1504,1505],{},"✅ Call For Me",[176,1507,972],{},[176,1509,972],{},[176,1511,972],{},[161,1513,1514,1517,1520,1522,1524],{},[176,1515,1516],{},"一键建站",[176,1518,1519],{},"✅ AI Sites",[176,1521,972],{},[176,1523,972],{},[176,1525,972],{},[161,1527,1528,1531,1534,1537,1539],{},[176,1529,1530],{},"视频 \u002F 音频生成",[176,1532,1533],{},"✅ Video \u002F Pods",[176,1535,1536],{},"部分",[176,1538,972],{},[176,1540,1541],{},"Sora（独立）",[161,1543,1544,1547,1550,1552,1555],{},[176,1545,1546],{},"引用透明",[176,1548,1549],{},"中",[176,1551,972],{},[176,1553,1554],{},"✅ 顶级",[176,1556,1536],{},[161,1558,1559,1561,1564,1566,1568],{},[176,1560,982],{},[176,1562,1563],{},"$25\u002F月（Plus）",[176,1565,985],{},[176,1567,373],{},[176,1569,373],{},[161,1571,1572,1575,1578,1580,1582],{},[176,1573,1574],{},"最贵",[176,1576,1577],{},"$249\u002F月",[176,1579,1214],{},[176,1581,373],{},[176,1583,1584],{},"$200\u002F月",[161,1586,1587,1589,1592,1595,1598],{},[176,1588,997],{},[176,1590,1591],{},"一站式 Super Agent",[176,1593,1594],{},"画布深度",[176,1596,1597],{},"搜索引用",[176,1599,1006],{},[16,1601,1012],{"id":1012},[125,1603,1604,1610,1616,1622,1628,1634,1640,1646,1652],{},[128,1605,1606,1609],{},[24,1607,1608],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[128,1611,1612,1615],{},[24,1613,1614],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[128,1617,1618,1621],{},[24,1619,1620],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[128,1623,1624,1627],{},[24,1625,1626],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[128,1629,1630,1633],{},[24,1631,1632],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[128,1635,1636,1639],{},[24,1637,1638],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[128,1641,1642,1645],{},[24,1643,1644],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[128,1647,1648,1651],{},[24,1649,1650],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[128,1653,1654,1657],{},[24,1655,1656],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[16,1659,1078],{"id":1077},[125,1661,1662,1665,1668,1671,1674,1677,1680,1683],{},[128,1663,1664],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[128,1666,1667],{},"✅ Plus $25 重度多模型不限 chat 用户",[128,1669,1670],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[128,1672,1673],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[128,1675,1676],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[128,1678,1679],{},"❌ 学术严谨场景",[128,1681,1682],{},"❌ 预算极紧",[128,1684,1685],{},"❌ 要画布 + 多线程深度（用 Flowith）",[16,1687,604],{"id":604},[125,1689,1690,1695,1699],{},[128,1691,1692],{},[106,1693,1694],{"href":1195},"Flowith 评测",[128,1696,1697],{},[106,1698,1126],{"href":1125},[128,1700,1701],{},[106,1702,1120],{"href":1119},[16,1704,1129],{"id":1129},[852,1706,1707,1714,1721,1728],{},[128,1708,1709,1710],{},"Genspark Pricing 官方 ",[106,1711,1712],{"href":1712,"rel":1713},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[110],[128,1715,1716,1717],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[106,1718,1719],{"href":1719,"rel":1720},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[110],[128,1722,1723,1724],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[106,1725,1726],{"href":1726,"rel":1727},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[110],[128,1729,1730,1731],{},"Lindy — Genspark Features 2026 Tested ",[106,1732,1733],{"href":1733,"rel":1734},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[110],{"title":636,"searchDepth":637,"depth":637,"links":1736},[1737,1738,1739,1740,1741,1742,1743,1744,1745,1746],{"id":681,"depth":640,"text":682},{"id":691,"depth":640,"text":691},{"id":349,"depth":640,"text":349},{"id":1365,"depth":640,"text":1366},{"id":850,"depth":640,"text":850},{"id":874,"depth":640,"text":874},{"id":1012,"depth":640,"text":1012},{"id":1077,"depth":640,"text":1078},{"id":604,"depth":640,"text":604},{"id":1129,"depth":640,"text":1129},"\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。",[1750,1753,1756,1759],{"q":1751,"a":1752},"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":1754,"a":1755},"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":1757,"a":1758},"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":1760,"a":1761},"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。",[1191,1192,1193],{},[1198,1199,1765],"android",[1767,1769,1772],{"plan":359,"price":362,"features":1768,"notes":1205},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":381,"price":988,"features":1770,"notes":1771},"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":370,"price":1577,"features":1773,"notes":1774},"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",[1777],"onboarding\u002Fsuper-agent-workflow",{"power":1222,"ux":1173,"price":637,"cn_support":637,"stability":1173},{"title":447,"description":1748},[1781,1783,1785,1787],{"name":1782,"url":1712,"accessed":1227},"Genspark 官网 + Pricing",{"name":1784,"url":1719,"accessed":1227},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":1786,"url":1726,"accessed":1227},"Rimo — Genspark 2026 + ARR $250M",{"name":1788,"url":1733,"accessed":1227},"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",[1792,1793,1794,1795,1796],"super-agent","multi-agent","sparkpage","call-agent","genspark","Super Agent 类目里目前最完整的一站式产品——研究 \u002F 内容 \u002F 建站 \u002F 视频 \u002F 电话调度全包。Plus $25 \u002F 月在重度场景非常划算。要纯研究问答用 Perplexity \u002F ChatGPT 更便宜。","https:\u002F\u002Fgenspark.ai","4z6BpXPUsDg0c4H6t-MNdIES6Gq2hbI5zP2Qe-fl4uU",{"id":1801,"title":254,"alternatives":1802,"api_compatible":1806,"body":1807,"category":1172,"chinese_friendly":1173,"cover":2632,"description":2633,"domestic":1176,"extension":651,"faq":676,"free":1176,"github":676,"languages":2634,"meta":2635,"models":2636,"navigation":653,"notSuitable":2641,"opensource":1176,"path":2646,"pillar":1196,"platforms":2647,"priceTable":2651,"pricing":2665,"published":2666,"relatedPlaybooks":2667,"relatedReviews":2669,"score":2671,"self_host":1176,"seo":2672,"seoTitle":676,"slug":657,"sources":2673,"stem":2689,"suitable":2690,"tagline":2696,"tags":2697,"updated":1227,"verdict":2703,"website":2150,"__hash__":2704},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md",[658,1803,1804,1805],"agent\u002Fgeneral\u002Felicit","agent\u002Fgeneral\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":13,"value":1808,"toc":2612},[1809,1811,1845,1850,1853,1917,1920,1925,1931,1935,1942,1946,1953,2005,2010,2014,2021,2025,2032,2037,2047,2050,2053,2056,2063,2065,2070,2118,2123,2129,2133,2139,2143,2188,2191,2228,2230,2376,2381,2398,2403,2422,2425,2489,2491,2494,2511,2514,2535,2537,2586,2588,2605],[16,1810,682],{"id":681},[40,1812,1814,1830],{"className":1813},[43,44,45],[20,1815,1816,1819,1820,1823,1824,1829],{},[24,1817,1818],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[24,1821,1822],{},"邀请码一度被炒到 ¥5 万-10 万","（",[106,1825,1828],{"href":1826,"rel":1827},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[110],"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。",[20,1831,1832,1833,1823,1836,1840,1841,1844],{},"2025-12 传被 ",[24,1834,1835],{},"Meta 以约 20-30 亿美元收购",[106,1837,1839],{"href":1826,"rel":1838},[110],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[24,1842,1843],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[113,1846,1847],{},[20,1848,1849],{},"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。",[16,1851,1852],{"id":1852},"背景与公司",[125,1854,1855,1866,1872,1878,1884,1895,1905,1911],{},[128,1856,1857,1860,1861,1865],{},[24,1858,1859],{},"公司","：Butterfly Effect Pte. Ltd.（",[106,1862,1864],{"href":1826,"rel":1863},[110],"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）",[128,1867,1868,1871],{},[24,1869,1870],{},"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）",[128,1873,1874,1877],{},[24,1875,1876],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[128,1879,1880,1883],{},[24,1881,1882],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[128,1885,1886,1889,1890,1894],{},[24,1887,1888],{},"Manus 启动","：2024-10 立项，灵感来自 ",[106,1891,1893],{"href":1892},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[128,1896,1897,1900,1901],{},[24,1898,1899],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[106,1902,1904],{"href":1826,"rel":1903},[110],"Demo 视频 20 小时百万播放",[128,1906,1907,1910],{},[24,1908,1909],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[128,1912,1913,1916],{},[24,1914,1915],{},"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",[16,1918,1919],{"id":1919},"核心特性",[1921,1922,1924],"h3",{"id":1923},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[20,1926,1927,1930],{},[106,1928,111],{"href":108,"rel":1929},[110]," 描述的架构：",[113,1932,1933],{},[20,1934,117],{},[20,1936,1937,1938,1941],{},"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 ",[24,1939,1940],{},"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。",[1921,1943,1945],{"id":1944},"通用-agent-模式","通用 Agent 模式",[20,1947,1948,1952],{},[106,1949,1951],{"href":150,"rel":1950},[110],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[155,1954,1955,1963],{},[158,1956,1957],{},[161,1958,1959,1961],{},[164,1960,166],{},[164,1962,169],{},[171,1964,1965,1975,1981,1987,1993,1999],{},[161,1966,1967,1971],{},[176,1968,1969],{},[24,1970,180],{},[176,1972,1973],{},[24,1974,185],{},[161,1976,1977,1979],{},[176,1978,190],{},[176,1980,193],{},[161,1982,1983,1985],{},[176,1984,198],{},[176,1986,201],{},[161,1988,1989,1991],{},[176,1990,206],{},[176,1992,209],{},[161,1994,1995,1997],{},[176,1996,214],{},[176,1998,217],{},[161,2000,2001,2003],{},[176,2002,222],{},[176,2004,225],{},[113,2006,2007],{},[20,2008,2009],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[1921,2011,2013],{"id":2012},"后台执行-长任务","后台执行 + 长任务",[20,2015,2016,2017,2020],{},"最特别的体验：任务下达后",[24,2018,2019],{},"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。",[1921,2022,2024],{"id":2023},"web-app-builder","Web App Builder",[20,2026,2027,2028,2031],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[106,2029,279],{"href":108,"rel":2030},[110]," 直白警告：",[113,2033,2034],{},[20,2035,2036],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[20,2038,2039,2040,285,2042,285,2044,2046],{},"复杂场景下出 bug 多，目前不建议生产部署，",[106,2041,284],{"href":283},[106,2043,289],{"href":288},[106,2045,293],{"href":292}," 仍是 production app building 的更稳选项。",[1921,2048,2049],{"id":2049},"桌面应用",[20,2051,2052],{},"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。",[1921,2054,2055],{"id":2055},"多模型路由",[20,2057,2058,2059,2062],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[24,2060,2061],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[16,2064,331],{"id":331},[20,2066,2067,337],{},[106,2068,279],{"href":108,"rel":2069},[110],[155,2071,2072,2082],{},[158,2073,2074],{},[161,2075,2076,2078,2080],{},[164,2077,346],{},[164,2079,349],{},[164,2081,352],{},[171,2083,2084,2092,2101,2109],{},[161,2085,2086,2088,2090],{},[176,2087,359],{},[176,2089,362],{},[176,2091,365],{},[161,2093,2094,2096,2098],{},[176,2095,370],{},[176,2097,373],{},[176,2099,2100],{},"大多数付费用户落点；中等 credit + 多模型",[161,2102,2103,2105,2107],{},[176,2104,381],{},[176,2106,384],{},[176,2108,387],{},[161,2110,2111,2114,2116],{},[176,2112,2113],{},"Pro+ \u002F Team",[176,2115,395],{},[176,2117,398],{},[20,2119,2120,2122],{},[24,2121,403],{},"：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[20,2124,2125,63],{},[106,2126,2128],{"href":108,"rel":2127},[110],"Pick Right 真实使用反馈",[113,2130,2131],{},[20,2132,415],{},[20,2134,2135,2138],{},[24,2136,2137],{},"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。",[16,2140,2142],{"id":2141},"上手-5-分钟","上手 5 分钟",[852,2144,2145,2153,2156,2173,2176,2182,2185],{},[128,2146,2147,2148],{},"打开 ",[106,2149,2152],{"href":2150,"rel":2151},"https:\u002F\u002Fmanus.im",[110],"manus.im",[128,2154,2155],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[128,2157,2158,2159,2162,2163],{},"给一个完整任务描述（",[24,2160,2161],{},"关键","：不要碎片化指令，给全场景）\n",[2164,2165,2170],"pre",{"className":2166,"code":2168,"language":2169},[2167],"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",[2171,2172,2168],"code",{"__ignoreMap":636},[128,2174,2175],{},"选模型路由（Auto 推荐）",[128,2177,2178,2179,2181],{},"提交后",[24,2180,2019],{},"——任务在云端跑",[128,2183,2184],{},"完成后邮件 \u002F 站内通知",[128,2186,2187],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[16,2189,2190],{"id":2190},"国内使用注意事项",[852,2192,2193,2203,2209,2215],{},[128,2194,2195,63,2198,2202],{},[24,2196,2197],{},"大陆访问被屏蔽",[106,2199,2201],{"href":1826,"rel":2200},[110],"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",[128,2204,2205,2208],{},[24,2206,2207],{},"访问需稳定代理","：日韩 \u002F 美国节点",[128,2210,2211,2214],{},[24,2212,2213],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[128,2216,2217,2220,2221,2223,2224,2227],{},[24,2218,2219],{},"替代路径","：国内可考虑 ",[106,2222,447],{"href":446}," \u002F Devv \u002F ",[106,2225,2226],{"href":578},"元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[16,2229,424],{"id":424},[155,2231,2232,2253],{},[158,2233,2234],{},[161,2235,2236,2238,2240,2244,2248,2250],{},[164,2237,433],{},[164,2239,254],{},[164,2241,2242],{},[106,2243,441],{"href":440},[164,2245,2246],{},[106,2247,447],{"href":446},[164,2249,248],{},[164,2251,2252],{},"GenAgent",[171,2254,2255,2269,2284,2298,2312,2326,2342,2356],{},[161,2256,2257,2259,2261,2263,2265,2267],{},[176,2258,456],{},[176,2260,459],{},[176,2262,462],{},[176,2264,465],{},[176,2266,468],{},[176,2268,1006],{},[161,2270,2271,2273,2275,2277,2279,2281],{},[176,2272,473],{},[176,2274,476],{},[176,2276,479],{},[176,2278,482],{},[176,2280,485],{},[176,2282,2283],{},"—",[161,2285,2286,2288,2290,2292,2294,2296],{},[176,2287,490],{},[176,2289,493],{},[176,2291,496],{},[176,2293,499],{},[176,2295,502],{},[176,2297,499],{},[161,2299,2300,2302,2304,2306,2308,2310],{},[176,2301,507],{},[176,2303,496],{},[176,2305,499],{},[176,2307,502],{},[176,2309,499],{},[176,2311,499],{},[161,2313,2314,2316,2318,2320,2322,2324],{},[176,2315,520],{},[176,2317,523],{},[176,2319,526],{},[176,2321,526],{},[176,2323,526],{},[176,2325,526],{},[161,2327,2328,2331,2334,2336,2338,2340],{},[176,2329,2330],{},"中文",[176,2332,2333],{},"⚠️ 大陆屏蔽",[176,2335,541],{},[176,2337,496],{},[176,2339,541],{},[176,2341,502],{},[161,2343,2344,2346,2348,2350,2352,2354],{},[176,2345,349],{},[176,2347,552],{},[176,2349,555],{},[176,2351,558],{},[176,2353,561],{},[176,2355,2283],{},[161,2357,2358,2361,2364,2367,2370,2373],{},[176,2359,2360],{},"适合场景",[176,2362,2363],{},"research \u002F 数据分析",[176,2365,2366],{},"写代码 \u002F 修 bug",[176,2368,2369],{},"信息检索",[176,2371,2372],{},"单次深度研究",[176,2374,2375],{},"综合",[20,2377,2378,63],{},[24,2379,2380],{},"选 Manus 如果你",[125,2382,2383,2389,2392,2395],{},[128,2384,2385,2386],{},"重视 research \u002F 数据分析任务的 ",[24,2387,2388],{},"引用密度和结构化输出",[128,2390,2391],{},"想试\"开任务下班、明早看结果\"的工作流",[128,2393,2394],{},"海外 \u002F 能解决账号网络问题",[128,2396,2397],{},"预算 $20-$50\u002F月，重度用户",[20,2399,2400,63],{},[24,2401,2402],{},"别选 Manus 如果你",[125,2404,2405,2413,2416,2419],{},[128,2406,2407,2408,285,2410,2412],{},"国内裸用（",[106,2409,447],{"href":446},[106,2411,579],{"href":578}," 更顺）",[128,2414,2415],{},"想生产部署 App（Web App Builder bug 多）",[128,2417,2418],{},"团队协作场景（功能不完善）",[128,2420,2421],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[16,2423,2424],{"id":2424},"避坑清单",[125,2426,2427,2433,2443,2449,2455,2465,2471,2477],{},[128,2428,2429,2432],{},[24,2430,2431],{},"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",[128,2434,2435,63,2438,2442],{},[24,2436,2437],{},"credit 烧得比官方页面暗示的快",[106,2439,2441],{"href":108,"rel":2440},[110],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[128,2444,2445,2448],{},[24,2446,2447],{},"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",[128,2450,2451,2454],{},[24,2452,2453],{},"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",[128,2456,2457,2460,2461,2464],{},[24,2458,2459],{},"每次任务从零开始","：没有持久 workspace，不像 ",[106,2462,311],{"href":309,"rel":2463},[110]," \u002F ChatGPT Custom GPTs 能跨会话记忆",[128,2466,2467,2470],{},[24,2468,2469],{},"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",[128,2472,2473,2476],{},[24,2474,2475],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[128,2478,2479,2482,2483,2488],{},[24,2480,2481],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[106,2484,2487],{"href":2485,"rel":2486},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[110],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[16,2490,1078],{"id":1077},[20,2492,2493],{},"✅ 适合：",[125,2495,2496,2499,2502,2505,2508],{},[128,2497,2498],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[128,2500,2501],{},"CSV \u002F Excel 重的数据分析任务",[128,2503,2504],{},"长任务 + 不想盯着看（小时级）",[128,2506,2507],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[128,2509,2510],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[20,2512,2513],{},"❌ 不适合：",[125,2515,2516,2519,2522,2525,2528],{},[128,2517,2518],{},"生产级应用部署",[128,2520,2521],{},"团队协作工作流",[128,2523,2524],{},"预算极敏感（free 档非常受限）",[128,2526,2527],{},"大陆稳定访问需求",[128,2529,2530,2531,2534],{},"需要深度持久上下文（用 ",[106,2532,311],{"href":309,"rel":2533},[110]," \u002F ChatGPT Custom GPT 等）",[16,2536,604],{"id":604},[125,2538,2539,2550,2560,2575],{},[128,2540,2541,2542,285,2544,2546,2547,2549],{},"同类对比：",[106,2543,441],{"href":440},[106,2545,447],{"href":446}," \u002F Elicit \u002F ",[106,2548,579],{"href":578}," \u002F Metaso",[128,2551,2552,2553,285,2556,2559],{},"概念：",[106,2554,663],{"href":2555},"\u002Fwiki\u002Fai-agent.html",[106,2557,2558],{"href":2555},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[128,2561,2562,2563,285,2567,285,2571],{},"模型：",[106,2564,2566],{"href":2565},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[106,2568,2570],{"href":2569},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[106,2572,2574],{"href":2573},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[128,2576,2577,2578,285,2582],{},"进阶：",[106,2579,2581],{"href":2580},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[106,2583,2585],{"href":2584},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[16,2587,1129],{"id":1129},[125,2589,2590,2596,2599,2602],{},[128,2591,2592,2593],{},"官网：",[106,2594,2150],{"href":2150,"rel":2595},[110],[128,2597,2598],{},"Wikipedia：\"Manus (AI agent)\" 条目",[128,2600,2601],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[128,2603,2604],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[20,2606,2607,2608,2611],{},"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 ",[106,2609,2610],{"href":2610},"\u002Fsubmit"," 反馈。",{"title":636,"searchDepth":637,"depth":637,"links":2613},[2614,2615,2616,2624,2625,2626,2627,2628,2629,2630,2631],{"id":681,"depth":640,"text":682},{"id":1852,"depth":640,"text":1852},{"id":1919,"depth":640,"text":1919,"children":2617},[2618,2619,2620,2621,2622,2623],{"id":1923,"depth":637,"text":1924},{"id":1944,"depth":637,"text":1945},{"id":2012,"depth":637,"text":2013},{"id":2023,"depth":637,"text":2024},{"id":2049,"depth":637,"text":2049},{"id":2055,"depth":637,"text":2055},{"id":331,"depth":640,"text":331},{"id":2141,"depth":640,"text":2142},{"id":2190,"depth":640,"text":2190},{"id":424,"depth":640,"text":424},{"id":2424,"depth":640,"text":2424},{"id":1077,"depth":640,"text":1078},{"id":604,"depth":640,"text":604},{"id":1129,"depth":640,"text":1129},"\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。",[1192,1191],{},[2637,2638,2639,2640],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[2642,2643,2644,2645],"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",[1198,2648,2649,2650],"windows","macos","linux",[2652,2655,2659,2662],{"plan":359,"price":362,"limit":2653,"cn_pay":2283,"note":2654},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":370,"price":373,"limit":2656,"cn_pay":2657,"note":2658},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":381,"price":384,"limit":2660,"cn_pay":541,"note":2661},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":392,"price":1584,"limit":2663,"cn_pay":541,"note":2664},"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",[2668],"onboarding\u002Fmanus-getting-started",[2670],"manus-deep-review",{"power":1222,"ux":1222,"price":637,"cn_support":1173,"stability":637},{"title":254,"description":2633},[2674,2676,2679,2681,2683,2686],{"title":2675,"url":2150},"Manus 官网",{"title":2677,"url":2678},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":2680,"url":108},"Manus AI Review 2026 (Pick Right)",{"title":2682,"url":150},"Info-Tech Manus Assessment",{"title":2684,"url":2685},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":2687,"url":2688},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[2691,2692,2693,2694,2695],"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",[2698,2699,2700,1793,2701,2702],"general-agent","autonomous","computer-use","butterfly-effect","monica","通用 Agent 体感天花板代表。多 sub-agent 并行 + 自动模型路由让 research \u002F 数据分析输出明显比 ChatGPT Deep Research 引用密度更高。慢、credit 烧得快、Web App Builder 仍有 bug，但任务跑通时确实让人惊艳。","AaSPUCWb2nxYWHxSC_BBzBy3OJG69bjyadYk9bISuwc",1783006601075]