[{"data":1,"prerenderedAt":2663},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"alt-main-perplexity":8,"alt-list-perplexity":567},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},23,{"id":9,"title":10,"alternatives":11,"api_compatible":15,"body":19,"category":531,"chinese_friendly":517,"cover":532,"description":533,"domestic":534,"extension":535,"faq":536,"free":537,"github":536,"languages":538,"lastVerified":540,"meta":541,"models":536,"navigation":537,"notSuitable":536,"opensource":534,"path":542,"pillar":543,"platforms":544,"priceTable":536,"pricing":548,"published":549,"relatedPlaybooks":536,"relatedReviews":536,"score":550,"self_host":534,"seo":553,"seoTitle":554,"slug":555,"sources":556,"stem":558,"suitable":536,"tagline":559,"tags":560,"updated":540,"verdict":565,"website":229,"__hash__":566},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fperplexity.md","Perplexity",[12,13,14],"agent\u002Fgeneral\u002Fgenspark","agent\u002Fgeneral\u002Fmanus","agent\u002Fgeneral\u002Fflowith",[16,17,18],"OpenAI","Anthropic","Google",{"type":20,"value":21,"toc":515},"minimark",[22,27,31,34,37,96,99,154,160,164,172,192,197,217,220,249,252,383,386,424,428,457,461,467,473,479,485,488,499,502,507],[23,24,26],"h2",{"id":25},"tldr","TL;DR",[28,29,30],"p",{},"Perplexity 是目前体验最成熟的 AI 搜索引擎——实时联网检索、每句回答附带引用来源、Pro Search 多步推理拆解复杂问题。Free 版每天有 5 次 Pro Search 额度，Pro 版 $20\u002F月解锁无限深度搜索 + Claude\u002FGPT-4 等顶级模型 + 文件上传分析。Web\u002FiOS\u002FAndroid 全平台覆盖。",[28,32,33],{},"适合：研究人员、记者、分析师、开发者查技术资料、需要可溯源信息的用户。不适合：国内无海外网络的用户、需要中文本土化搜索体验的用户（选 Genspark \u002F 秘塔）、需要生成长文\u002F代码的创作者（用 ChatGPT \u002F Claude）。",[23,35,36],{"id":36},"核心能力",[38,39,40,48,54,60,66,72,78,84,90],"ul",{},[41,42,43,47],"li",{},[44,45,46],"strong",{},"实时联网搜索","：每次提问实时检索互联网最新内容，不依赖训练数据截止日期",[41,49,50,53],{},[44,51,52],{},"引用溯源","：回答中每句话标注来源链接，点击可跳转原文，可信度高",[41,55,56,59],{},[44,57,58],{},"Pro Search 深度推理","：多步拆解复杂问题，多次搜索 + 综合，适合深度研究",[41,61,62,65],{},[44,63,64],{},"多模型切换","：Pro 版可选 GPT-4o、Claude 3.5 Sonnet、Sonar 等模型",[41,67,68,71],{},[44,69,70],{},"Focus 模式","：可限定搜索范围（学术 \u002F YouTube \u002F Reddit \u002F 新闻等）",[41,73,74,77],{},[44,75,76],{},"文件上传分析","：Pro 版支持上传 PDF\u002F图片，结合联网搜索分析",[41,79,80,83],{},[44,81,82],{},"Collections 收藏","：将搜索结果组织成主题集合，支持团队共享",[41,85,86,89],{},[44,87,88],{},"Spaces 工作区","：自定义指令 + 模型偏好 + 文件库，打造个性化研究助手",[41,91,92,95],{},[44,93,94],{},"API 接口","：Pro 版提供 Sonar API，可集成到自有应用",[23,97,98],{"id":98},"价格",[100,101,102,117],"table",{},[103,104,105],"thead",{},[106,107,108,112,114],"tr",{},[109,110,111],"th",{},"方案",[109,113,98],{},[109,115,116],{},"核心功能",[118,119,120,132,143],"tbody",{},[106,121,122,126,129],{},[123,124,125],"td",{},"Free",[123,127,128],{},"$0",[123,130,131],{},"每天 5 次 Pro Search、基础模型、无限快速搜索",[106,133,134,137,140],{},[123,135,136],{},"Pro",[123,138,139],{},"$20\u002F月",[123,141,142],{},"无限 Pro Search、GPT-4o\u002FClaude\u002FSonar 模型、文件上传、API",[106,144,145,148,151],{},[123,146,147],{},"Pro 年付",[123,149,150],{},"$200\u002F年",[123,152,153],{},"同 Pro，约省 $40",[155,156,157],"blockquote",{},[28,158,159],{},"价格信息基于 2026-07 官网，可能调整。",[23,161,163],{"id":162},"体验与评测资料整理","体验与评测（资料整理）",[155,165,166],{},[28,167,168,169],{},"说明：本节基于官方文档与公开评测整理，非本站独立实测环境，具体数据请以官方为准。\n",[44,170,171],{},"亮点：",[38,173,174,177,180,183,186,189],{},[41,175,176],{},"Pro Search 拆解复杂研究问题的能力非常强，会自动分步搜索再综合",[41,178,179],{},"引用溯源是核心卖点，回答可信度远超纯 LLM 对话",[41,181,182],{},"Focus 限定学术搜索时，引用 arXiv \u002F 论文来源质量高",[41,184,185],{},"iOS App 体验流畅，语音提问 + 实时搜索 + 摘要一气呵成",[41,187,188],{},"Collections 功能做主题研究非常实用，可回溯完整搜索链路",[41,190,191],{},"响应速度在 AI 搜索类产品中属于第一梯队",[28,193,194],{},[44,195,196],{},"踩坑：",[38,198,199,202,205,208,211,214],{},[41,200,201],{},"Free 版每天 5 次 Pro Search 很快用完，基础搜索深度明显不足",[41,203,204],{},"中文查询的检索质量不如英文，部分中文来源覆盖不全",[41,206,207],{},"Pro Search 耗时较长（30 秒 - 2 分钟），简单问题别用",[41,209,210],{},"国内访问需要海外网络，延迟和稳定性受影响",[41,212,213],{},"文件上传分析有时会忽略部分内容，不如 Claude \u002F ChatGPT 的文档理解深",[41,215,216],{},"偶有引用来源质量参差（SEO 内容农场），需自行判断",[23,218,219],{"id":219},"上手",[221,222,223,234,237,240,243,246],"ol",{},[41,224,225,226,233],{},"访问 ",[227,228,232],"a",{"href":229,"rel":230},"https:\u002F\u002Fperplexity.ai",[231],"nofollow","perplexity.ai"," 注册账号（支持 Google\u002FApple 登录）",[41,235,236],{},"输入问题，默认快速搜索，点击 \"Pro\" 按钮切换深度搜索",[41,238,239],{},"使用 Focus 按钮限定搜索范围（Academic \u002F YouTube \u002F Reddit 等）",[41,241,242],{},"上传 PDF 或图片，让 Perplexity 结合联网信息分析",[41,244,245],{},"创建 Collection 组织研究主题，保存有价值的搜索结果",[41,247,248],{},"Pro 用户在 Settings 中切换底层模型（GPT-4o \u002F Claude \u002F Sonar）",[23,250,251],{"id":251},"对比",[100,253,254,272],{},[103,255,256],{},[106,257,258,261,263,266,269],{},[109,259,260],{},"维度",[109,262,10],{},[109,264,265],{},"Genspark",[109,267,268],{},"秘塔搜索",[109,270,271],{},"ChatGPT Search",[118,273,274,289,305,321,336,353,369],{},[106,275,276,278,281,284,286],{},[123,277,52],{},[123,279,280],{},"✅ 每句标注",[123,282,283],{},"✅ 段落级",[123,285,283],{},[123,287,288],{},"✅ 部分标注",[106,290,291,294,297,300,303],{},[123,292,293],{},"深度推理",[123,295,296],{},"✅ Pro Search",[123,298,299],{},"✅ Sparkpage",[123,301,302],{},"❌",[123,304,302],{},[106,306,307,310,313,316,319],{},[123,308,309],{},"中文优化",[123,311,312],{},"一般",[123,314,315],{},"好",[123,317,318],{},"优秀",[123,320,312],{},[106,322,323,326,329,331,334],{},[123,324,325],{},"国内访问",[123,327,328],{},"需海外网络",[123,330,328],{},[123,332,333],{},"✅ 直连",[123,335,328],{},[106,337,338,341,344,347,350],{},[123,339,340],{},"免费额度",[123,342,343],{},"5 次\u002F天 Pro",[123,345,346],{},"较宽松",[123,348,349],{},"完全免费",[123,351,352],{},"需 Plus",[106,354,355,358,361,364,366],{},[123,356,357],{},"模型选择",[123,359,360],{},"✅ Pro 多选",[123,362,363],{},"固定",[123,365,363],{},[123,367,368],{},"GPT 系列",[106,370,371,374,376,378,381],{},[123,372,373],{},"生成报告",[123,375,302],{},[123,377,299],{},[123,379,380],{},"✅",[123,382,302],{},[23,384,385],{"id":385},"避坑",[38,387,388,394,400,406,412,418],{},[41,389,390,393],{},[44,391,392],{},"简单问题别用 Pro Search","：浪费额度，快速搜索足够",[41,395,396,399],{},[44,397,398],{},"注意引用质量","：部分来源是 SEO 内容，关键信息交叉验证",[41,401,402,405],{},[44,403,404],{},"中文长尾查询效果打折","：换英文关键词或换本土搜索工具",[41,407,408,411],{},[44,409,410],{},"Free 额度规划","：5 次 Pro Search 留给真正需要深度研究的问题",[41,413,414,417],{},[44,415,416],{},"API 调用注意成本","：Sonar API 按 token 计费，复杂搜索消耗大",[41,419,420,423],{},[44,421,422],{},"不要完全依赖","：AI 搜索仍有幻觉风险，重要决策人工核实",[23,425,427],{"id":426},"适合-不适合","适合 \u002F 不适合",[38,429,430,433,436,439,442,445,448,451,454],{},[41,431,432],{},"✅ 需要可溯源信息的深度研究",[41,434,435],{},"✅ 学术 \u002F 技术资料检索（Focus Academic 模式）",[41,437,438],{},"✅ 记者分析师快速调研 + 引用整理",[41,440,441],{},"✅ 开发者查最新技术文档和版本信息",[41,443,444],{},"✅ 英文为主的搜索场景",[41,446,447],{},"❌ 国内无海外网络环境（用秘塔 \u002F Genspark）",[41,449,450],{},"❌ 需要生成长文 \u002F 代码 \u002F 创意内容（用 ChatGPT \u002F Claude）",[41,452,453],{},"❌ 需要中文本土化搜索体验",[41,455,456],{},"❌ 需要完全免费且无限制（用秘塔搜索）",[23,458,460],{"id":459},"faq","FAQ",[28,462,463,466],{},[44,464,465],{},"Q: Perplexity 和 ChatGPT 的搜索有什么区别？","\nA: Perplexity 是搜索优先——每次回答都基于实时检索 + 引用溯源，Pro Search 做多步推理拆解。ChatGPT Search 是对话优先 + 搜索辅助，引用标注不如 Perplexity 系统。深度研究选 Perplexity，多轮对话和创作选 ChatGPT。",[28,468,469,472],{},[44,470,471],{},"Q: Free 版够用吗？","\nA: 日常快速搜索完全够用。但 Pro Search 每天 5 次额度对于深度研究用户偏紧，如果你经常需要多步推理搜索，Pro 版的无限额度 + 顶级模型 + 文件上传值得付费。",[28,474,475,478],{},[44,476,477],{},"Q: 国内能用吗？","\nA: 网站和 App 都需要海外网络才能访问，且延迟和稳定性受网络环境影响。如果主要搜索中文内容，秘塔搜索、Genspark 等替代品体验更顺畅。",[28,480,481,484],{},[44,482,483],{},"Q: Pro 版选哪个模型好？","\nA: 通用搜索用默认 Sonar 即可（速度快 + 成本低）。复杂推理和分析任务切 Claude 3.5 Sonnet 或 GPT-4o。代码相关问题 GPT-4o 表现更稳。",[23,486,487],{"id":487},"相关阅读",[28,489,490,494,495],{},[227,491,493],{"href":492},"\u002Fagent\u002Fplatform\u002Fanythingllm.html","AnythingLLM"," · ",[227,496,498],{"href":497},"\u002Fagent\u002Fplatform\u002Fragflow.html","RAGFlow",[23,500,501],{"id":501},"来源",[155,503,504],{},[28,505,506],{},"本文的价格、版本号与性能数据均参考以下官方渠道整理，可能随时间变动，请以官方实时信息为准。",[38,508,509],{},[41,510,511],{},[227,512,514],{"href":229,"rel":513},[231],"官网",{"title":516,"searchDepth":517,"depth":517,"links":518},"",3,[519,521,522,523,524,525,526,527,528,529,530],{"id":25,"depth":520,"text":26},2,{"id":36,"depth":520,"text":36},{"id":98,"depth":520,"text":98},{"id":162,"depth":520,"text":163},{"id":219,"depth":520,"text":219},{"id":251,"depth":520,"text":251},{"id":385,"depth":520,"text":385},{"id":426,"depth":520,"text":427},{"id":459,"depth":520,"text":460},{"id":487,"depth":520,"text":487},{"id":501,"depth":520,"text":501},"general","\u002Fimg\u002Ftools\u002Fperplexity.webp","Perplexity 真实评测：AI 驱动的搜索引擎，实时联网检索 + 引用溯源 + Pro Search 深度推理。支持 Web\u002FiOS\u002FAndroid，Free + Pro $20\u002F月，适合需要带引用的实时信息检索和深度问答的用户，国内访问需海外网络。",false,"md",null,true,[539],"en","2026-07-30",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fperplexity","agent",[545,546,547],"web","ios","android","Free \u002F Pro $20\u002Fmo","2026-07-05",{"power":551,"ux":552,"price":517,"cn_support":520,"stability":552},4,5,{"title":10,"description":533},"Perplexity - AI 搜索引擎评测与使用指南 | AIHO","agent\u002Fgeneral\u002Fperplexity",[557],{"title":514,"url":229},"tools\u002Fagent\u002Fgeneral\u002Fperplexity","AI 搜索引擎，实时联网 + 引用溯源 + Pro Search",[561,562,563,564],"general-agent","search","research","citation","需要带引用的实时信息检索和深度研究问答时的首选 AI 搜索引擎，Pro Search 的多步推理 + 溯源能力在同类产品中体验最佳，但国内用户需海外网络且中文优化不及本土竞品。","NC8sGXOCuZUhuucvS0nnrk73Q200NTTZ9n5YoJU7gIA",[568,1150,2131],{"id":569,"title":265,"alternatives":570,"api_compatible":536,"body":573,"category":531,"chinese_friendly":551,"cover":1085,"description":1086,"domestic":537,"extension":535,"faq":1087,"free":537,"github":536,"languages":1100,"lastVerified":1103,"meta":1104,"models":536,"navigation":537,"notSuitable":536,"opensource":534,"path":1105,"pillar":543,"platforms":1106,"priceTable":1107,"pricing":1118,"published":1119,"relatedPlaybooks":1120,"relatedReviews":1122,"score":1126,"self_host":534,"seo":1127,"seoTitle":1128,"slug":12,"sources":1129,"stem":1139,"suitable":536,"tagline":1140,"tags":1141,"updated":1132,"verdict":1147,"website":1148,"__hash__":1149},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[14,571,572],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fgeneral\u002Falice",{"type":20,"value":574,"toc":1073},[575,577,580,583,585,659,661,685,690,694,698,721,725,751,753,773,775,933,935,991,993,1019,1021,1041,1043],[23,576,26],{"id":25},[28,578,579],{},"Genspark 是 2024 年创立于 Palo Alto 的 AI Super Agent 公司，CEO Eric Jing（前 Microsoft Bing \u002F 小冰），团队来自 Microsoft + Google。2026-04 ARR 突破 $250M（12 个月内）。差异点：『多 Agent 架构』路由不同 agent + 模型组合，而非单 LLM + Super Agent 自治执行覆盖研究 \u002F 内容 \u002F 调用 \u002F 建站 \u002F 视频 \u002F 数据分析 \u002F 真实电话 + Sparkpage 可视化输出。Free 100-200 daily credits \u002F Plus $25 月度 12k credits \u002F Pro $249 月度 125k credits。",[28,581,582],{},"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）。",[23,584,36],{"id":36},[38,586,587,593,599,605,611,617,623,629,635,641,647,653],{},[41,588,589,592],{},[44,590,591],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[41,594,595,598],{},[44,596,597],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[41,600,601,604],{},[44,602,603],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[41,606,607,610],{},[44,608,609],{},"AI Slides","：10-15 张幻灯片含图表",[41,612,613,616],{},[44,614,615],{},"AI Sites","：完整 landing page 一键生成",[41,618,619,622],{},[44,620,621],{},"AI Video","：30-60s 短视频生成",[41,624,625,628],{},[44,626,627],{},"AI Pods","：10 分钟 AI podcast 生成",[41,630,631,634],{},[44,632,633],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[41,636,637,640],{},[44,638,639],{},"AI Sheets","：CSV 数据分析 + 自动图表",[41,642,643,646],{},[44,644,645],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[41,648,649,652],{},[44,650,651],{},"iOS \u002F Android App","：移动端可用",[41,654,655,658],{},[44,656,657],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[23,660,98],{"id":98},[38,662,663,668,674,679],{},[41,664,665,667],{},[44,666,125],{},"：100-200 daily credits（~3-8 简单任务）",[41,669,670,673],{},[44,671,672],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[41,675,676,678],{},[44,677,136],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[41,680,681,684],{},[44,682,683],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[155,686,687],{},[28,688,689],{},"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。",[23,691,693],{"id":692},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[28,695,696],{},[44,697,171],{},[38,699,700,703,706,709,712,715,718],{},[41,701,702],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[41,704,705],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[41,707,708],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[41,710,711],{},"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",[41,713,714],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[41,716,717],{},"Sparkpage 输出可直接分享 + 嵌入",[41,719,720],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[28,722,723],{},[44,724,196],{},[38,726,727,730,733,736,739,742,745,748],{},[41,728,729],{},"credit 消耗不透明，复杂任务前难估算成本",[41,731,732],{},"用户反馈 customer support + refund 有问题",[41,734,735],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[41,737,738],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[41,740,741],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[41,743,744],{},"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",[41,746,747],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[41,749,750],{},"Pro $249 月价格陡，中端断档",[23,752,219],{"id":219},[221,754,755,758,761,764,767,770],{},[41,756,757],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[41,759,760],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[41,762,763],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[41,765,766],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[41,768,769],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[41,771,772],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[23,774,251],{"id":251},[100,776,777,794],{},[103,778,779],{},[106,780,781,783,785,788,791],{},[109,782,260],{},[109,784,265],{},[109,786,787],{},"Flowith",[109,789,790],{},"Perplexity Pro",[109,792,793],{},"ChatGPT Plus",[118,795,796,812,826,840,854,870,885,900,916],{},[106,797,798,800,803,806,809],{},[123,799,591],{},[123,801,802],{},"✅ 多 Agent",[123,804,805],{},"✅ Neo 自治",[123,807,808],{},"–",[123,810,811],{},"Operator",[106,813,814,817,819,822,824],{},[123,815,816],{},"可视化输出",[123,818,299],{},[123,820,821],{},"✅ 画布",[123,823,808],{},[123,825,808],{},[106,827,828,831,834,836,838],{},[123,829,830],{},"真实电话调用",[123,832,833],{},"✅ Call For Me",[123,835,808],{},[123,837,808],{},[123,839,808],{},[106,841,842,845,848,850,852],{},[123,843,844],{},"一键建站",[123,846,847],{},"✅ AI Sites",[123,849,808],{},[123,851,808],{},[123,853,808],{},[106,855,856,859,862,865,867],{},[123,857,858],{},"视频 \u002F 音频生成",[123,860,861],{},"✅ Video \u002F Pods",[123,863,864],{},"部分",[123,866,808],{},[123,868,869],{},"Sora（独立）",[106,871,872,875,878,880,883],{},[123,873,874],{},"引用透明",[123,876,877],{},"中",[123,879,808],{},[123,881,882],{},"✅ 顶级",[123,884,864],{},[106,886,887,890,893,896,898],{},[123,888,889],{},"起价",[123,891,892],{},"$25\u002F月（Plus）",[123,894,895],{},"$19.90\u002F月",[123,897,139],{},[123,899,139],{},[106,901,902,905,908,911,913],{},[123,903,904],{},"最贵",[123,906,907],{},"$249\u002F月",[123,909,910],{},"$499.90\u002F月",[123,912,139],{},[123,914,915],{},"$200\u002F月",[106,917,918,921,924,927,930],{},[123,919,920],{},"适合",[123,922,923],{},"一站式 Super Agent",[123,925,926],{},"画布深度",[123,928,929],{},"搜索引用",[123,931,932],{},"通用",[23,934,385],{"id":385},[38,936,937,943,949,955,961,967,973,979,985],{},[41,938,939,942],{},[44,940,941],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[41,944,945,948],{},[44,946,947],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[41,950,951,954],{},[44,952,953],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[41,956,957,960],{},[44,958,959],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[41,962,963,966],{},[44,964,965],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[41,968,969,972],{},[44,970,971],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[41,974,975,978],{},[44,976,977],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[41,980,981,984],{},[44,982,983],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[41,986,987,990],{},[44,988,989],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[23,992,427],{"id":426},[38,994,995,998,1001,1004,1007,1010,1013,1016],{},[41,996,997],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[41,999,1000],{},"✅ Plus $25 重度多模型不限 chat 用户",[41,1002,1003],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[41,1005,1006],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[41,1008,1009],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[41,1011,1012],{},"❌ 学术严谨场景",[41,1014,1015],{},"❌ 预算极紧",[41,1017,1018],{},"❌ 要画布 + 多线程深度（用 Flowith）",[23,1020,487],{"id":487},[38,1022,1023,1029,1035],{},[41,1024,1025],{},[227,1026,1028],{"href":1027},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","Flowith 评测",[41,1030,1031],{},[227,1032,1034],{"href":1033},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[41,1036,1037],{},[227,1038,1040],{"href":1039},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice","Alice 评测",[23,1042,501],{"id":501},[221,1044,1045,1052,1059,1066],{},[41,1046,1047,1048],{},"Genspark Pricing 官方 ",[227,1049,1050],{"href":1050,"rel":1051},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[231],[41,1053,1054,1055],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[227,1056,1057],{"href":1057,"rel":1058},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[231],[41,1060,1061,1062],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[227,1063,1064],{"href":1064,"rel":1065},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[231],[41,1067,1068,1069],{},"Lindy — Genspark Features 2026 Tested ",[227,1070,1071],{"href":1071,"rel":1072},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[231],{"title":516,"searchDepth":517,"depth":517,"links":1074},[1075,1076,1077,1078,1079,1080,1081,1082,1083,1084],{"id":25,"depth":520,"text":26},{"id":36,"depth":520,"text":36},{"id":98,"depth":520,"text":98},{"id":692,"depth":520,"text":693},{"id":219,"depth":520,"text":219},{"id":251,"depth":520,"text":251},{"id":385,"depth":520,"text":385},{"id":426,"depth":520,"text":427},{"id":487,"depth":520,"text":487},{"id":501,"depth":520,"text":501},"\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。",[1088,1091,1094,1097],{"q":1089,"a":1090},"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":1092,"a":1093},"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":1095,"a":1096},"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":1098,"a":1099},"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。",[539,1101,1102],"zh","multi","2026-08-02",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark",[545,546,547],[1108,1111,1115],{"plan":125,"price":128,"features":1109,"notes":1110},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究","试水",{"plan":672,"price":1112,"features":1113,"notes":1114},"$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":136,"price":907,"features":1116,"notes":1117},"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",[1121],"onboarding\u002Fsuper-agent-workflow",[1123,1124,1125],"autoglm-deep-review","manus-deep-review","openmanus-deep-review",{"power":552,"ux":551,"price":517,"cn_support":517,"stability":551},{"title":265,"description":1086},"Genspark 评测 2026：AI Super Agent，多 Agent 架构 + Sparkpage",[1130,1133,1135,1137],{"name":1131,"url":1050,"accessed":1132},"Genspark 官网 + Pricing","2026-06-24",{"name":1134,"url":1057,"accessed":1132},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":1136,"url":1064,"accessed":1132},"Rimo — Genspark 2026 + ARR $250M",{"name":1138,"url":1071,"accessed":1132},"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",[1142,1143,1144,1145,1146],"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","hOtbYh5Ukxv1GZh0uG1a-ZODYPTQcbcpORQESsipc0Q",{"id":1151,"title":1152,"alternatives":1153,"api_compatible":1156,"body":1157,"category":531,"chinese_friendly":551,"cover":2058,"description":2059,"domestic":534,"extension":535,"faq":536,"free":537,"github":536,"languages":2060,"lastVerified":1103,"meta":2061,"models":2062,"navigation":537,"notSuitable":2067,"opensource":534,"path":2072,"pillar":543,"platforms":2073,"priceTable":2077,"pricing":2092,"published":2093,"relatedPlaybooks":2094,"relatedReviews":2096,"score":2097,"self_host":534,"seo":2098,"seoTitle":2099,"slug":13,"sources":2100,"stem":2116,"suitable":2117,"tagline":2123,"tags":2124,"updated":1132,"verdict":2129,"website":1542,"__hash__":2130},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md","Manus",[12,1154,1155],"coding\u002Fagent\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":20,"value":1158,"toc":2038},[1159,1161,1199,1204,1207,1271,1274,1279,1287,1292,1299,1303,1311,1377,1382,1386,1393,1397,1405,1410,1427,1430,1433,1436,1443,1446,1452,1507,1513,1520,1525,1531,1535,1580,1583,1622,1625,1797,1802,1819,1824,1844,1847,1913,1915,1918,1935,1938,1959,1961,2011,2013,2030],[23,1160,26],{"id":25},[1162,1163,1168,1184],"div",{"className":1164},[1165,1166,1167],"card","p-5","my-4",[28,1169,1170,1173,1174,1177,1178,1183],{},[44,1171,1172],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[44,1175,1176],{},"邀请码一度被炒到 ¥5 万-10 万","（",[227,1179,1182],{"href":1180,"rel":1181},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[231],"据维基百科引用 China Daily 报道","）。多 sub-agent 并行架构——浏览、数据分析、代码执行、写作各自专门子 agent，主 orchestrator 自动路由到 Claude \u002F Qwen \u002F 自研模型，结果合成交付。",[28,1185,1186,1187,1177,1190,1194,1195,1198],{},"2025-12 传被 ",[44,1188,1189],{},"Meta 以约 20-30 亿美元收购",[227,1191,1193],{"href":1180,"rel":1192},[231],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[44,1196,1197],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[155,1200,1201],{},[28,1202,1203],{},"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。",[23,1205,1206],{"id":1206},"背景与公司",[38,1208,1209,1220,1226,1232,1238,1249,1259,1265],{},[41,1210,1211,1214,1215,1219],{},[44,1212,1213],{},"公司","：Butterfly Effect Pte. Ltd.（",[227,1216,1218],{"href":1180,"rel":1217},[231],"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）",[41,1221,1222,1225],{},[44,1223,1224],{},"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）",[41,1227,1228,1231],{},[44,1229,1230],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[41,1233,1234,1237],{},[44,1235,1236],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[41,1239,1240,1243,1244,1248],{},[44,1241,1242],{},"Manus 启动","：2024-10 立项，灵感来自 ",[227,1245,1247],{"href":1246},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[41,1250,1251,1254,1255],{},[44,1252,1253],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[227,1256,1258],{"href":1180,"rel":1257},[231],"Demo 视频 20 小时百万播放",[41,1260,1261,1264],{},[44,1262,1263],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[41,1266,1267,1270],{},[44,1268,1269],{},"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",[23,1272,1273],{"id":1273},"核心特性",[1275,1276,1278],"h3",{"id":1277},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[28,1280,1281,1286],{},[227,1282,1285],{"href":1283,"rel":1284},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[231],"Pick Right 2026-04 评测"," 描述的架构：",[155,1288,1289],{},[28,1290,1291],{},"\"Where most general-purpose AI products use one model end-to-end, Manus runs multiple specialized sub-agents in parallel: one handles web browsing, one handles data analysis, one handles code execution, one handles synthesis and writing.\"",[28,1293,1294,1295,1298],{},"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 ",[44,1296,1297],{},"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。",[1275,1300,1302],{"id":1301},"通用-agent-模式","通用 Agent 模式",[28,1304,1305,1310],{},[227,1306,1309],{"href":1307,"rel":1308},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[231],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[100,1312,1313,1323],{},[103,1314,1315],{},[106,1316,1317,1320],{},[109,1318,1319],{},"模型",[109,1321,1322],{},"GAIA 准确率",[118,1324,1325,1337,1345,1353,1361,1369],{},[106,1326,1327,1332],{},[123,1328,1329],{},[44,1330,1331],{},"Manus AI",[123,1333,1334],{},[44,1335,1336],{},">65%（SOTA）",[106,1338,1339,1342],{},[123,1340,1341],{},"H2O.ai (h2oGPTe)",[123,1343,1344],{},"65%",[106,1346,1347,1350],{},[123,1348,1349],{},"Google Langfun",[123,1351,1352],{},"49%",[106,1354,1355,1358],{},[123,1356,1357],{},"Microsoft o1",[123,1359,1360],{},"38%",[106,1362,1363,1366],{},[123,1364,1365],{},"OpenAI GPT-4o",[123,1367,1368],{},"32%",[106,1370,1371,1374],{},[123,1372,1373],{},"OpenAI GPT-4 + Plugins",[123,1375,1376],{},"15-30%",[155,1378,1379],{},[28,1380,1381],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[1275,1383,1385],{"id":1384},"后台执行-长任务","后台执行 + 长任务",[28,1387,1388,1389,1392],{},"最特别的体验：任务下达后",[44,1390,1391],{},"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。",[1275,1394,1396],{"id":1395},"web-app-builder","Web App Builder",[28,1398,1399,1400,1404],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[227,1401,1403],{"href":1283,"rel":1402},[231],"Pick Right 评测"," 直白警告：",[155,1406,1407],{},[28,1408,1409],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[28,1411,1412,1413,1417,1418,1417,1422,1426],{},"复杂场景下出 bug 多，目前不建议生产部署，",[227,1414,1416],{"href":1415},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[227,1419,1421],{"href":1420},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[227,1423,1425],{"href":1424},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[1275,1428,1429],{"id":1429},"桌面应用",[28,1431,1432],{},"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。",[1275,1434,1435],{"id":1435},"多模型路由",[28,1437,1438,1439,1442],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[44,1440,1441],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[23,1444,1445],{"id":1445},"价格与运行成本",[28,1447,1448,1451],{},[227,1449,1403],{"href":1283,"rel":1450},[231]," 公开档位：",[100,1453,1454,1466],{},[103,1455,1456],{},[106,1457,1458,1461,1463],{},[109,1459,1460],{},"档位",[109,1462,98],{},[109,1464,1465],{},"关键点",[118,1467,1468,1477,1486,1496],{},[106,1469,1470,1472,1474],{},[123,1471,125],{},[123,1473,128],{},[123,1475,1476],{},"每日有限 credits，够 1 个高强度任务\u002F天",[106,1478,1479,1481,1483],{},[123,1480,136],{},[123,1482,139],{},[123,1484,1485],{},"大多数付费用户落点；中等 credit + 多模型",[106,1487,1488,1490,1493],{},[123,1489,672],{},[123,1491,1492],{},"$50\u002F月",[123,1494,1495],{},"更高 credit + 优先队列，10+ 任务\u002F周",[106,1497,1498,1501,1504],{},[123,1499,1500],{},"Pro+ \u002F Team",[123,1502,1503],{},"最高 $200\u002F月",[123,1505,1506],{},"最大 credit + 团队空间（功能仍有限）",[28,1508,1509,1512],{},[44,1510,1511],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[28,1514,1515,1519],{},[227,1516,1518],{"href":1283,"rel":1517},[231],"Pick Right 真实使用反馈","：",[155,1521,1522],{},[28,1523,1524],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[28,1526,1527,1530],{},[44,1528,1529],{},"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。",[23,1532,1534],{"id":1533},"上手-5-分钟","上手 5 分钟",[221,1536,1537,1545,1548,1565,1568,1574,1577],{},[41,1538,1539,1540],{},"打开 ",[227,1541,1544],{"href":1542,"rel":1543},"https:\u002F\u002Fmanus.im",[231],"manus.im",[41,1546,1547],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[41,1549,1550,1551,1554,1555],{},"给一个完整任务描述（",[44,1552,1553],{},"关键","：不要碎片化指令，给全场景）\n",[1556,1557,1562],"pre",{"className":1558,"code":1560,"language":1561},[1559],"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",[1563,1564,1560],"code",{"__ignoreMap":516},[41,1566,1567],{},"选模型路由（Auto 推荐）",[41,1569,1570,1571,1573],{},"提交后",[44,1572,1391],{},"——任务在云端跑",[41,1575,1576],{},"完成后邮件 \u002F 站内通知",[41,1578,1579],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[23,1581,1582],{"id":1582},"国内使用注意事项",[221,1584,1585,1595,1601,1607],{},[41,1586,1587,1519,1590,1594],{},[44,1588,1589],{},"大陆访问被屏蔽",[227,1591,1593],{"href":1180,"rel":1592},[231],"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",[41,1596,1597,1600],{},[44,1598,1599],{},"访问需稳定代理","：日韩 \u002F 美国节点",[41,1602,1603,1606],{},[44,1604,1605],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[41,1608,1609,1612,1613,1616,1617,1621],{},[44,1610,1611],{},"替代路径","：国内可考虑 ",[227,1614,265],{"href":1615},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[227,1618,1620],{"href":1619},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[23,1623,1624],{"id":1624},"与同类怎么选",[100,1626,1627,1651],{},[103,1628,1629],{},[106,1630,1631,1633,1635,1641,1645,1648],{},[109,1632,260],{},[109,1634,1152],{},[109,1636,1637],{},[227,1638,1640],{"href":1639},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[109,1642,1643],{},[227,1644,265],{"href":1615},[109,1646,1647],{},"ChatGPT Deep Research",[109,1649,1650],{},"GenAgent",[118,1652,1653,1672,1692,1711,1726,1742,1759,1777],{},[106,1654,1655,1658,1661,1664,1667,1670],{},[123,1656,1657],{},"核心定位",[123,1659,1660],{},"通用 Agent",[123,1662,1663],{},"AI 程序员",[123,1665,1666],{},"AI 搜索 + Agent",[123,1668,1669],{},"LLM Deep Research",[123,1671,932],{},[106,1673,1674,1677,1680,1683,1686,1689],{},[123,1675,1676],{},"架构",[123,1678,1679],{},"多 sub-agent 并行",[123,1681,1682],{},"单 Agent + 沙盒",[123,1684,1685],{},"多模型",[123,1687,1688],{},"单模型",[123,1690,1691],{},"—",[106,1693,1694,1697,1700,1703,1706,1709],{},[123,1695,1696],{},"长任务",[123,1698,1699],{},"★★★★★ 小时级",[123,1701,1702],{},"★★★★★",[123,1704,1705],{},"★★★☆☆",[123,1707,1708],{},"★★★★☆",[123,1710,1705],{},[106,1712,1713,1716,1718,1720,1722,1724],{},[123,1714,1715],{},"引用密度",[123,1717,1702],{},[123,1719,1705],{},[123,1721,1708],{},[123,1723,1705],{},[123,1725,1705],{},[106,1727,1728,1731,1734,1736,1738,1740],{},[123,1729,1730],{},"App Builder",[123,1732,1733],{},"⚠️ 有但 buggy",[123,1735,302],{},[123,1737,302],{},[123,1739,302],{},[123,1741,302],{},[106,1743,1744,1747,1750,1753,1755,1757],{},[123,1745,1746],{},"中文",[123,1748,1749],{},"⚠️ 大陆屏蔽",[123,1751,1752],{},"⚠️",[123,1754,1702],{},[123,1756,1752],{},[123,1758,1708],{},[106,1760,1761,1763,1766,1769,1772,1775],{},[123,1762,98],{},[123,1764,1765],{},"$20-$200",[123,1767,1768],{},"$500\u002F月",[123,1770,1771],{},"$24.99\u002F月",[123,1773,1774],{},"随 ChatGPT Plus",[123,1776,1691],{},[106,1778,1779,1782,1785,1788,1791,1794],{},[123,1780,1781],{},"适合场景",[123,1783,1784],{},"research \u002F 数据分析",[123,1786,1787],{},"写代码 \u002F 修 bug",[123,1789,1790],{},"信息检索",[123,1792,1793],{},"单次深度研究",[123,1795,1796],{},"综合",[28,1798,1799,1519],{},[44,1800,1801],{},"选 Manus 如果你",[38,1803,1804,1810,1813,1816],{},[41,1805,1806,1807],{},"重视 research \u002F 数据分析任务的 ",[44,1808,1809],{},"引用密度和结构化输出",[41,1811,1812],{},"想试\"开任务下班、明早看结果\"的工作流",[41,1814,1815],{},"海外 \u002F 能解决账号网络问题",[41,1817,1818],{},"预算 $20-$50\u002F月，重度用户",[28,1820,1821,1519],{},[44,1822,1823],{},"别选 Manus 如果你",[38,1825,1826,1835,1838,1841],{},[41,1827,1828,1829,1417,1831,1834],{},"国内裸用（",[227,1830,265],{"href":1615},[227,1832,1833],{"href":1619},"Yuanbao"," 更顺）",[41,1836,1837],{},"想生产部署 App（Web App Builder bug 多）",[41,1839,1840],{},"团队协作场景（功能不完善）",[41,1842,1843],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[23,1845,1846],{"id":1846},"避坑清单",[38,1848,1849,1855,1865,1871,1877,1889,1895,1901],{},[41,1850,1851,1854],{},[44,1852,1853],{},"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",[41,1856,1857,1519,1860,1864],{},[44,1858,1859],{},"credit 烧得比官方页面暗示的快",[227,1861,1863],{"href":1283,"rel":1862},[231],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[41,1866,1867,1870],{},[44,1868,1869],{},"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",[41,1872,1873,1876],{},[44,1874,1875],{},"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",[41,1878,1879,1882,1883,1888],{},[44,1880,1881],{},"每次任务从零开始","：没有持久 workspace，不像 ",[227,1884,1887],{"href":1885,"rel":1886},"https:\u002F\u002Fclaude.com",[231],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[41,1890,1891,1894],{},[44,1892,1893],{},"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",[41,1896,1897,1900],{},[44,1898,1899],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[41,1902,1903,1906,1907,1912],{},[44,1904,1905],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[227,1908,1911],{"href":1909,"rel":1910},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[231],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[23,1914,427],{"id":426},[28,1916,1917],{},"✅ 适合：",[38,1919,1920,1923,1926,1929,1932],{},[41,1921,1922],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[41,1924,1925],{},"CSV \u002F Excel 重的数据分析任务",[41,1927,1928],{},"长任务 + 不想盯着看（小时级）",[41,1930,1931],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[41,1933,1934],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[28,1936,1937],{},"❌ 不适合：",[38,1939,1940,1943,1946,1949,1952],{},[41,1941,1942],{},"生产级应用部署",[41,1944,1945],{},"团队协作工作流",[41,1947,1948],{},"预算极敏感（free 档非常受限）",[41,1950,1951],{},"大陆稳定访问需求",[41,1953,1954,1955,1958],{},"需要深度持久上下文（用 ",[227,1956,1887],{"href":1885,"rel":1957},[231]," \u002F ChatGPT Custom GPT 等）",[23,1960,487],{"id":487},[38,1962,1963,1974,1985,2000],{},[41,1964,1965,1966,1417,1968,1970,1971,1973],{},"同类对比：",[227,1967,1640],{"href":1639},[227,1969,265],{"href":1615}," \u002F Elicit \u002F ",[227,1972,1833],{"href":1619}," \u002F Metaso",[41,1975,1976,1977,1417,1981,1984],{},"概念：",[227,1978,1980],{"href":1979},"\u002Fwiki\u002Fai-agent.html","AI Agent",[227,1982,1983],{"href":1979},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[41,1986,1987,1988,1417,1992,1417,1996],{},"模型：",[227,1989,1991],{"href":1990},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[227,1993,1995],{"href":1994},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[227,1997,1999],{"href":1998},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[41,2001,2002,2003,1417,2007],{},"进阶：",[227,2004,2006],{"href":2005},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[227,2008,2010],{"href":2009},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[23,2012,501],{"id":501},[38,2014,2015,2021,2024,2027],{},[41,2016,2017,2018],{},"官网：",[227,2019,1542],{"href":1542,"rel":2020},[231],[41,2022,2023],{},"Wikipedia：\"Manus (AI agent)\" 条目",[41,2025,2026],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[41,2028,2029],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[28,2031,2032,2033,2037],{},"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 ",[227,2034,2036],{"href":2035},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":516,"searchDepth":517,"depth":517,"links":2039},[2040,2041,2042,2050,2051,2052,2053,2054,2055,2056,2057],{"id":25,"depth":520,"text":26},{"id":1206,"depth":520,"text":1206},{"id":1273,"depth":520,"text":1273,"children":2043},[2044,2045,2046,2047,2048,2049],{"id":1277,"depth":517,"text":1278},{"id":1301,"depth":517,"text":1302},{"id":1384,"depth":517,"text":1385},{"id":1395,"depth":517,"text":1396},{"id":1429,"depth":517,"text":1429},{"id":1435,"depth":517,"text":1435},{"id":1445,"depth":520,"text":1445},{"id":1533,"depth":520,"text":1534},{"id":1582,"depth":520,"text":1582},{"id":1624,"depth":520,"text":1624},{"id":1846,"depth":520,"text":1846},{"id":426,"depth":520,"text":427},{"id":487,"depth":520,"text":487},{"id":501,"depth":520,"text":501},"\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。",[1101,539],{},[2063,2064,2065,2066],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[2068,2069,2070,2071],"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",[545,2074,2075,2076],"windows","macos","linux",[2078,2081,2085,2088],{"plan":125,"price":128,"limit":2079,"cn_pay":1691,"note":2080},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":136,"price":139,"limit":2082,"cn_pay":2083,"note":2084},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":672,"price":1492,"limit":2086,"cn_pay":1752,"note":2087},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":2089,"price":915,"limit":2090,"cn_pay":1752,"note":2091},"Pro+\u002FTeam","最大 credit + 团队工作空间（功能受限）","团队功能仍有限","Free \u002F Pro $20\u002Fmo \u002F Plus $50\u002Fmo \u002F Pro+ Team 最高 $200\u002Fmo","2026-06-18",[2095],"onboarding\u002Fmanus-getting-started",[1124,1123,1125],{"power":552,"ux":552,"price":517,"cn_support":551,"stability":517},{"title":1152,"description":2059},"Manus AI Agent 评测 2026：通用 AI 智能体，自主完成任务，对比 Devin",[2101,2103,2106,2108,2110,2113],{"title":2102,"url":1542},"Manus 官网",{"title":2104,"url":2105},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":2107,"url":1283},"Manus AI Review 2026 (Pick Right)",{"title":2109,"url":1307},"Info-Tech Manus Assessment",{"title":2111,"url":2112},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":2114,"url":2115},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[2118,2119,2120,2121,2122],"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",[561,2125,2126,1143,2127,2128],"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。","wcviURLmHN3k98k-_qnPkJ09CuZAWesyVH7TwM3COfM",{"id":2132,"title":787,"alternatives":2133,"api_compatible":536,"body":2134,"category":531,"chinese_friendly":551,"cover":2604,"description":2605,"domestic":537,"extension":535,"faq":2606,"free":537,"github":536,"languages":2619,"lastVerified":1103,"meta":2620,"models":536,"navigation":537,"notSuitable":536,"opensource":534,"path":1027,"pillar":543,"platforms":2621,"priceTable":2623,"pricing":2637,"published":1119,"relatedPlaybooks":2638,"relatedReviews":2640,"score":2641,"self_host":534,"seo":2642,"seoTitle":2643,"slug":14,"sources":2644,"stem":2653,"suitable":536,"tagline":2654,"tags":2655,"updated":1132,"verdict":2661,"website":2569,"__hash__":2662},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md",[12,572,571],{"type":20,"value":2135,"toc":2592},[2136,2138,2141,2144,2146,2208,2210,2234,2239,2243,2247,2270,2274,2300,2302,2322,2324,2451,2453,2515,2517,2543,2545,2560,2562],[23,2137,26],{"id":25},[28,2139,2140],{},"Flowith 是新加坡公司 Flowith Technologies Pte. Ltd.（2023 创立）打造的画布式 AI 工作空间。差异点：无限 2D 画布把每次 AI 交互变成可分支可合并的节点 + Agent Neo（10M token 上下文 \u002F 1000+ 自治步骤）+ Knowledge Garden（文档原子化成 Seeds）+ 40+ AI 模型一站接入 + FlowithOS 早期预览。2024-08 Product Hunt 当日 #1，2026 已有 100 万+ 用户，背后有 Stripe \u002F NVIDIA Inception \u002F Google for Startups \u002F Microsoft \u002F AWS。",[28,2142,2143],{},"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。",[23,2145,36],{"id":36},[38,2147,2148,2154,2160,2166,2172,2178,2184,2190,2196,2202],{},[41,2149,2150,2153],{},[44,2151,2152],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[41,2155,2156,2159],{},[44,2157,2158],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[41,2161,2162,2165],{},[44,2163,2164],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[41,2167,2168,2171],{},[44,2169,2170],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[41,2173,2174,2177],{},[44,2175,2176],{},"多线程并行","：同时跑多个 thread，画布一览",[41,2179,2180,2183],{},[44,2181,2182],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[41,2185,2186,2189],{},[44,2187,2188],{},"iOS App","：2026 上线，移动 workspace 访问",[41,2191,2192,2195],{},[44,2193,2194],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[41,2197,2198,2201],{},[44,2199,2200],{},"商业授权","：Pro+ 包含商业使用权",[41,2203,2204,2207],{},[44,2205,2206],{},"Web Control UI","：浏览器原生，多设备同步",[23,2209,98],{"id":98},[38,2211,2212,2217,2222,2228],{},[41,2213,2214,2216],{},[44,2215,125],{},"：$0；300 一次性 credits（试水级）",[41,2218,2219,2221],{},[44,2220,136],{},"：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[41,2223,2224,2227],{},[44,2225,2226],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[41,2229,2230,2233],{},[44,2231,2232],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[155,2235,2236],{},[28,2237,2238],{},"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。",[23,2240,2242],{"id":2241},"实测深度研究-多线程内容生产","实测（深度研究 \u002F 多线程内容生产）",[28,2244,2245],{},[44,2246,171],{},[38,2248,2249,2252,2255,2258,2261,2264,2267],{},[41,2250,2251],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[41,2253,2254],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[41,2256,2257],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[41,2259,2260],{},"40+ 模型一窗体内切换 + 对比",[41,2262,2263],{},"多设备同步流畅",[41,2265,2266],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[41,2268,2269],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[28,2271,2272],{},[44,2273,196],{},[38,2275,2276,2279,2282,2285,2288,2291,2294,2297],{},[41,2277,2278],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[41,2280,2281],{},"学习曲线明显，画布操作 + 节点连线要花时间",[41,2283,2284],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[41,2286,2287],{},"Free 300 credits 不够体验完整流程",[41,2289,2290],{},"Agent Neo 偶尔『过度自治』产出不可控",[41,2292,2293],{},"移动 iOS 体验不如桌面 Web",[41,2295,2296],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[41,2298,2299],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[23,2301,219],{"id":219},[221,2303,2304,2307,2310,2313,2316,2319],{},[41,2305,2306],{},"flowith.io → Free 注册 → 拿 300 credits",[41,2308,2309],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[41,2311,2312],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[41,2314,2315],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[41,2317,2318],{},"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",[41,2320,2321],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[23,2323,251],{"id":251},[100,2325,2326,2342],{},[103,2327,2328],{},[106,2329,2330,2332,2334,2336,2339],{},[109,2331,260],{},[109,2333,787],{},[109,2335,265],{},[109,2337,2338],{},"ChatGPT",[109,2340,2341],{},"Claude",[118,2343,2344,2360,2377,2394,2409,2424,2436],{},[106,2345,2346,2349,2352,2355,2358],{},[123,2347,2348],{},"形态",[123,2350,2351],{},"无限画布 + 节点",[123,2353,2354],{},"多 Agent + Sparkpage",[123,2356,2357],{},"线性 chat",[123,2359,2357],{},[106,2361,2362,2365,2368,2371,2374],{},[123,2363,2364],{},"自治 agent",[123,2366,2367],{},"✅ Neo 1000+ 步",[123,2369,2370],{},"✅ Super Agent",[123,2372,2373],{},"✅ Operator",[123,2375,2376],{},"❌（API 走）",[106,2378,2379,2382,2385,2388,2391],{},[123,2380,2381],{},"上下文",[123,2383,2384],{},"10M token",[123,2386,2387],{},"200K",[123,2389,2390],{},"1M（GPT-5）",[123,2392,2393],{},"1M（Claude）",[106,2395,2396,2399,2402,2405,2407],{},[123,2397,2398],{},"模型数",[123,2400,2401],{},"40+",[123,2403,2404],{},"多家",[123,2406,16],{},[123,2408,17],{},[106,2410,2411,2414,2417,2419,2422],{},[123,2412,2413],{},"Knowledge base",[123,2415,2416],{},"✅ Seeds",[123,2418,808],{},[123,2420,2421],{},"Projects",[123,2423,2421],{},[106,2425,2426,2428,2430,2432,2434],{},[123,2427,889],{},[123,2429,895],{},[123,2431,1112],{},[123,2433,139],{},[123,2435,139],{},[106,2437,2438,2440,2443,2446,2448],{},[123,2439,920],{},[123,2441,2442],{},"深度多线程 + 长任务",[123,2444,2445],{},"全能 Super Agent",[123,2447,932],{},[123,2449,2450],{},"Coding \u002F 长文",[23,2452,385],{"id":385},[38,2454,2455,2461,2467,2473,2479,2485,2491,2497,2503,2509],{},[41,2456,2457,2460],{},[44,2458,2459],{},"从 Pro 起","：Free 300 credits 玩不出深度",[41,2462,2463,2466],{},[44,2464,2465],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[41,2468,2469,2472],{},[44,2470,2471],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[41,2474,2475,2478],{},[44,2476,2477],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[41,2480,2481,2484],{},[44,2482,2483],{},"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",[41,2486,2487,2490],{},[44,2488,2489],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[41,2492,2493,2496],{},[44,2494,2495],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[41,2498,2499,2502],{},[44,2500,2501],{},"移动端","：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[41,2504,2505,2508],{},[44,2506,2507],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[41,2510,2511,2514],{},[44,2512,2513],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[23,2516,427],{"id":426},[38,2518,2519,2522,2525,2528,2531,2534,2537,2540],{},[41,2520,2521],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[41,2523,2524],{},"✅ 要 10M token 超长上下文做综合分析",[41,2526,2527],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[41,2529,2530],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[41,2532,2533],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[41,2535,2536],{},"❌ 预算极紧 + 不愿学习曲线",[41,2538,2539],{},"❌ 线性思维 + 单线程偏好",[41,2541,2542],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[23,2544,487],{"id":487},[38,2546,2547,2552,2556],{},[41,2548,2549],{},[227,2550,2551],{"href":1105},"Genspark 评测",[41,2553,2554],{},[227,2555,1040],{"href":1039},[41,2557,2558],{},[227,2559,1034],{"href":1033},[23,2561,501],{"id":501},[221,2563,2564,2571,2578,2585],{},[41,2565,2566,2567],{},"Flowith 官网 + Pricing ",[227,2568,2569],{"href":2569,"rel":2570},"https:\u002F\u002Fflowith.io",[231],[41,2572,2573,2574],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[227,2575,2576],{"href":2576,"rel":2577},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[231],[41,2579,2580,2581],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[227,2582,2583],{"href":2583,"rel":2584},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[231],[41,2586,2587,2588],{},"OpenTools — Flowith Review May 2026 ",[227,2589,2590],{"href":2590,"rel":2591},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[231],{"title":516,"searchDepth":517,"depth":517,"links":2593},[2594,2595,2596,2597,2598,2599,2600,2601,2602,2603],{"id":25,"depth":520,"text":26},{"id":36,"depth":520,"text":36},{"id":98,"depth":520,"text":98},{"id":2241,"depth":520,"text":2242},{"id":219,"depth":520,"text":219},{"id":251,"depth":520,"text":251},{"id":385,"depth":520,"text":385},{"id":426,"depth":520,"text":427},{"id":487,"depth":520,"text":487},{"id":501,"depth":520,"text":501},"\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。",[2607,2610,2613,2616],{"q":2608,"a":2609},"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":2611,"a":2612},"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":2614,"a":2615},"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":2617,"a":2618},"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。",[539,1101,1102],{},[545,546,2622],"macos-flowithos",[2624,2627,2630,2634],{"plan":2625,"price":128,"features":2626,"notes":1110},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度",{"plan":136,"price":895,"features":2628,"notes":2629},"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":2226,"price":2631,"features":2632,"notes":2633},"$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":2232,"price":910,"features":2635,"notes":2636},"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）",[2639],"onboarding\u002Fcanvas-ai-research-workflow",[1124],{"power":552,"ux":551,"price":517,"cn_support":551,"stability":551},{"title":787,"description":2605},"Flowith 评测 2026：无限画布 AI 工作空间，10M token 上下文",[2645,2647,2649,2651],{"name":2646,"url":2569,"accessed":1132},"Flowith 官网",{"name":2648,"url":2576,"accessed":1132},"Toolworthy — Flowith Review 2026",{"name":2650,"url":2583,"accessed":1132},"BlockSentient — Flowith 2026 详细评测",{"name":2652,"url":2590,"accessed":1132},"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",[2656,2657,2658,2659,2660],"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。","Lv_2l8RAYu-DUI_PVbhxEE46JEdqzWtqIN9hGPcdI-s",1785660639159]