[{"data":1,"prerenderedAt":8546},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-\u002Ftools\u002Fagent\u002Fgeneral\u002Fperplexity":8,"cat-rank-agent-general":563,"tool-related-agent\u002Fgeneral\u002Fperplexity":7092,"tool-reviews-agent\u002Fgeneral\u002Fperplexity":7093,"tool-alts-agent\u002Fgeneral\u002Fperplexity":7094},{"tools":4,"reviews":5},98,27,{"tools":4,"reviews":5,"playbooks":7,"news":5},22,{"id":9,"title":10,"alternatives":11,"api_compatible":15,"body":16,"category":528,"chinese_friendly":514,"cover":529,"description":530,"domestic":531,"extension":532,"faq":15,"free":531,"github":15,"languages":533,"lastVerified":535,"meta":536,"models":15,"navigation":537,"notSuitable":15,"opensource":531,"path":538,"pillar":539,"platforms":540,"priceTable":15,"pricing":544,"published":545,"relatedPlaybooks":15,"relatedReviews":15,"score":546,"self_host":531,"seo":549,"seoTitle":550,"slug":551,"sources":552,"stem":554,"suitable":15,"tagline":555,"tags":556,"updated":535,"verdict":561,"website":226,"__hash__":562},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fperplexity.md","Perplexity",[12,13,14],"agent\u002Fgeneral\u002Fgenspark","agent\u002Fgeneral\u002Fmanus","agent\u002Fgeneral\u002Fflowith",null,{"type":17,"value":18,"toc":512},"minimark",[19,24,28,31,34,93,96,151,157,161,169,189,194,214,217,246,249,380,383,421,425,454,458,464,470,476,482,485,496,499,504],[20,21,23],"h2",{"id":22},"tldr","TL;DR",[25,26,27],"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。",[25,29,30],{},"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）。",[20,32,33],{"id":33},"核心能力",[35,36,37,45,51,57,63,69,75,81,87],"ul",{},[38,39,40,44],"li",{},[41,42,43],"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",[38,46,47,50],{},[41,48,49],{},"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",[38,52,53,56],{},[41,54,55],{},"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",[38,58,59,62],{},[41,60,61],{},"多模型切换","：Pro 版可选 GPT-4o、Claude 3.5 Sonnet、Sonar 等模型",[38,64,65,68],{},[41,66,67],{},"Focus 模式","：可限定搜索范围（学术 \u002F YouTube \u002F Reddit \u002F 新闻等）",[38,70,71,74],{},[41,72,73],{},"文件上传分析","：Pro 版支持上传 PDF\u002F图片，结合联网搜索分析",[38,76,77,80],{},[41,78,79],{},"Collections 收藏","：将搜索结果组织成主题集合，支持团队共享",[38,82,83,86],{},[41,84,85],{},"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",[38,88,89,92],{},[41,90,91],{},"API 接口","：Pro 版提供 Sonar API，可集成到自有应用",[20,94,95],{"id":95},"价格",[97,98,99,114],"table",{},[100,101,102],"thead",{},[103,104,105,109,111],"tr",{},[106,107,108],"th",{},"方案",[106,110,95],{},[106,112,113],{},"核心功能",[115,116,117,129,140],"tbody",{},[103,118,119,123,126],{},[120,121,122],"td",{},"Free",[120,124,125],{},"$0",[120,127,128],{},"每天 5 次 Pro Search、基础模型、无限快速搜索",[103,130,131,134,137],{},[120,132,133],{},"Pro",[120,135,136],{},"$20\u002F月",[120,138,139],{},"无限 Pro Search、GPT-4o\u002FClaude\u002FSonar 模型、文件上传、API",[103,141,142,145,148],{},[120,143,144],{},"Pro 年付",[120,146,147],{},"$200\u002F年",[120,149,150],{},"同 Pro，约省 $40",[152,153,154],"blockquote",{},[25,155,156],{},"价格信息基于 2026-07 官网，可能调整。",[20,158,160],{"id":159},"体验与评测资料整理","体验与评测（资料整理）",[152,162,163],{},[25,164,165,166],{},"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",[41,167,168],{},"亮点：",[35,170,171,174,177,180,183,186],{},[38,172,173],{},"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",[38,175,176],{},"引用溯源是核心卖点，回答可信度远超纯 LLM 对话",[38,178,179],{},"Focus 限定学术搜索时，引用 arXiv \u002F 论文来源质量高",[38,181,182],{},"iOS App 体验流畅，语音提问 + 实时搜索 + 摘要一气呵成",[38,184,185],{},"Collections 功能做主题研究非常实用，可回溯完整搜索链路",[38,187,188],{},"响应速度在 AI 搜索类产品中属于第一梯队",[25,190,191],{},[41,192,193],{},"踩坑：",[35,195,196,199,202,205,208,211],{},[38,197,198],{},"Free 版每天 5 次 Pro Search 很快用完，基础搜索深度明显不足",[38,200,201],{},"中文查询的检索质量不如英文，部分中文来源覆盖不全",[38,203,204],{},"Pro Search 耗时较长（30 秒 - 2 分钟），简单问题别用",[38,206,207],{},"国内访问需要海外网络，延迟和稳定性受影响",[38,209,210],{},"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",[38,212,213],{},"偶有引用来源质量参差（SEO 内容农场），需自行判断",[20,215,216],{"id":216},"上手",[218,219,220,231,234,237,240,243],"ol",{},[38,221,222,223,230],{},"访问 ",[224,225,229],"a",{"href":226,"rel":227},"https:\u002F\u002Fperplexity.ai",[228],"nofollow","perplexity.ai"," 注册账号（支持 Google\u002FApple 登录）",[38,232,233],{},"输入问题，默认快速搜索，点击 \"Pro\" 按钮切换深度搜索",[38,235,236],{},"使用 Focus 按钮限定搜索范围（Academic \u002F YouTube \u002F Reddit 等）",[38,238,239],{},"上传 PDF 或图片，让 Perplexity 结合联网信息分析",[38,241,242],{},"创建 Collection 组织研究主题，保存有价值的搜索结果",[38,244,245],{},"Pro 用户在 Settings 中切换底层模型（GPT-4o \u002F Claude \u002F Sonar）",[20,247,248],{"id":248},"对比",[97,250,251,269],{},[100,252,253],{},[103,254,255,258,260,263,266],{},[106,256,257],{},"维度",[106,259,10],{},[106,261,262],{},"Genspark",[106,264,265],{},"秘塔搜索",[106,267,268],{},"ChatGPT Search",[115,270,271,286,302,318,333,350,366],{},[103,272,273,275,278,281,283],{},[120,274,49],{},[120,276,277],{},"✅ 每句标注",[120,279,280],{},"✅ 段落级",[120,282,280],{},[120,284,285],{},"✅ 部分标注",[103,287,288,291,294,297,300],{},[120,289,290],{},"深度推理",[120,292,293],{},"✅ Pro Search",[120,295,296],{},"✅ Sparkpage",[120,298,299],{},"❌",[120,301,299],{},[103,303,304,307,310,313,316],{},[120,305,306],{},"中文优化",[120,308,309],{},"一般",[120,311,312],{},"好",[120,314,315],{},"优秀",[120,317,309],{},[103,319,320,323,326,328,331],{},[120,321,322],{},"国内访问",[120,324,325],{},"需海外网络",[120,327,325],{},[120,329,330],{},"✅ 直连",[120,332,325],{},[103,334,335,338,341,344,347],{},[120,336,337],{},"免费额度",[120,339,340],{},"5 次\u002F天 Pro",[120,342,343],{},"较宽松",[120,345,346],{},"完全免费",[120,348,349],{},"需 Plus",[103,351,352,355,358,361,363],{},[120,353,354],{},"模型选择",[120,356,357],{},"✅ Pro 多选",[120,359,360],{},"固定",[120,362,360],{},[120,364,365],{},"GPT 系列",[103,367,368,371,373,375,378],{},[120,369,370],{},"生成报告",[120,372,299],{},[120,374,296],{},[120,376,377],{},"✅",[120,379,299],{},[20,381,382],{"id":382},"避坑",[35,384,385,391,397,403,409,415],{},[38,386,387,390],{},[41,388,389],{},"简单问题别用 Pro Search","：浪费额度，快速搜索足够",[38,392,393,396],{},[41,394,395],{},"注意引用质量","：部分来源是 SEO 内容，关键信息交叉验证",[38,398,399,402],{},[41,400,401],{},"中文长尾查询效果打折","：换英文关键词或换本土搜索工具",[38,404,405,408],{},[41,406,407],{},"Free 额度规划","：5 次 Pro Search 留给真正需要深度研究的问题",[38,410,411,414],{},[41,412,413],{},"API 调用注意成本","：Sonar API 按 token 计费，复杂搜索消耗大",[38,416,417,420],{},[41,418,419],{},"不要完全依赖","：AI 搜索仍有幻觉风险，重要决策人工核实",[20,422,424],{"id":423},"适合-不适合","适合 \u002F 不适合",[35,426,427,430,433,436,439,442,445,448,451],{},[38,428,429],{},"✅ 需要可溯源信息的深度研究",[38,431,432],{},"✅ 学术 \u002F 技术资料检索（Focus Academic 模式）",[38,434,435],{},"✅ 记者分析师快速调研 + 引用整理",[38,437,438],{},"✅ 开发者查最新技术文档和版本信息",[38,440,441],{},"✅ 英文为主的搜索场景",[38,443,444],{},"❌ 国内无海外网络环境（用秘塔 \u002F Genspark）",[38,446,447],{},"❌ 需要生成长文 \u002F 代码 \u002F 创意内容（用 ChatGPT \u002F Claude）",[38,449,450],{},"❌ 需要中文本土化搜索体验",[38,452,453],{},"❌ 需要完全免费且无限制（用秘塔搜索）",[20,455,457],{"id":456},"faq","FAQ",[25,459,460,463],{},[41,461,462],{},"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。",[25,465,466,469],{},[41,467,468],{},"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。",[25,471,472,475],{},[41,473,474],{},"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。",[25,477,478,481],{},[41,479,480],{},"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。",[20,483,484],{"id":484},"相关阅读",[25,486,487,491,492],{},[224,488,490],{"href":489},"\u002Fagent\u002Fplatform\u002Fanythingllm.html","AnythingLLM"," · ",[224,493,495],{"href":494},"\u002Fagent\u002Fplatform\u002Fragflow.html","RAGFlow",[20,497,498],{"id":498},"来源",[152,500,501],{},[25,502,503],{},"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。",[35,505,506],{},[38,507,508],{},[224,509,511],{"href":226,"rel":510},[228],"官网",{"title":513,"searchDepth":514,"depth":514,"links":515},"",3,[516,518,519,520,521,522,523,524,525,526,527],{"id":22,"depth":517,"text":23},2,{"id":33,"depth":517,"text":33},{"id":95,"depth":517,"text":95},{"id":159,"depth":517,"text":160},{"id":216,"depth":517,"text":216},{"id":248,"depth":517,"text":248},{"id":382,"depth":517,"text":382},{"id":423,"depth":517,"text":424},{"id":456,"depth":517,"text":457},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"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",[534],"en","2026-07-30",{},true,"\u002Ftools\u002Fagent\u002Fgeneral\u002Fperplexity","agent",[541,542,543],"web","ios","android","Free \u002F Pro $20\u002Fmo","2026-07-05",{"power":547,"ux":548,"price":514,"cn_support":517,"stability":548},4,5,{"title":10,"description":530},"Perplexity - AI 搜索引擎评测与使用指南 | AIHO","agent\u002Fgeneral\u002Fperplexity",[553],{"title":511,"url":226},"tools\u002Fagent\u002Fgeneral\u002Fperplexity","AI 搜索引擎，实时联网 + 引用溯源 + Pro Search",[557,558,559,560],"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。","TrVdio9RzoMR9r3nJD8RfbmMb3w8DTt4xZT2XznDcPk",[564,1141,1685,2241,3018,3985,4569,5175,5873,6725],{"id":565,"title":566,"alternatives":567,"api_compatible":15,"body":570,"category":528,"chinese_friendly":514,"cover":1078,"description":1079,"domestic":531,"extension":532,"faq":1080,"free":531,"github":15,"languages":1093,"lastVerified":15,"meta":1094,"models":15,"navigation":537,"notSuitable":15,"opensource":531,"path":1095,"pillar":539,"platforms":1096,"priceTable":1100,"pricing":1113,"published":1114,"relatedPlaybooks":1115,"relatedReviews":15,"score":1117,"self_host":531,"seo":1118,"seoTitle":1119,"slug":1120,"sources":1121,"stem":1130,"suitable":15,"tagline":1131,"tags":1132,"updated":1123,"verdict":1138,"website":1139,"__hash__":1140},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Falice.md","Alice",[568,569,14],"agent\u002Fdesktop\u002Fclaude-desktop","agent\u002Fdesktop\u002Fopenclaw",{"type":17,"value":571,"toc":1066},[572,574,577,580,582,650,652,675,680,684,688,711,715,741,743,766,768,926,928,984,986,1012,1014,1034,1036],[20,573,23],{"id":22},[25,575,576],{},"Alice（heyalice.app）是 Greg Rog \u002F Techsistence 团队 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手，2026-02 版本 5.0 发布，8000+ 创作者使用。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储零云依赖 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。无月费订阅，3 周免费试用 + 一次买断 ~$59-99。",[25,578,579],{},"适合：macOS \u002F Windows 党 + 想全局快捷键唤起 AI；多模型用户不想被单 vendor 锁定；隐私敏感 + 不愿数据上云；自由职业 \u002F 个人开发者 + 不喜欢月费订阅。不适合：纯网页党（无 web 版）；移动设备主力（无 iOS \u002F Android）；团队协作 + 共享 workspace；不愿管理 API Key 的纯用户。",[20,581,33],{"id":33},[35,583,584,590,596,602,608,614,620,626,632,638,644],{},[38,585,586,589],{},[41,587,588],{},"全局快捷键唤起","：任何应用按 hotkey 召唤 AI",[38,591,592,595],{},[41,593,594],{},"BYO API Key","：OpenAI \u002F Anthropic \u002F Gemini \u002F xAI Grok \u002F Groq \u002F OpenRouter",[38,597,598,601],{},[41,599,600],{},"50+ Assistants","：'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius' 等开箱即用角色",[38,603,604,607],{},[41,605,606],{},"200+ Skills","：power user 社区贡献的能力包",[38,609,610,613],{},[41,611,612],{},"MCP 集成","：可调用 MCP server 工具",[38,615,616,619],{},[41,617,618],{},"自动化对接","：Zapier \u002F Make \u002F n8n + 无代码工作流",[38,621,622,625],{},[41,623,624],{},"Memory & Documents","：项目文档 + 偏好记忆，无需重复输入",[38,627,628,631],{},[41,629,630],{},"数据本地","：所有对话 \u002F 设置 \u002F 偏好仅本地存储",[38,633,634,637],{},[41,635,636],{},"多模型在一窗口","：GPT-5.x \u002F Claude \u002F Gemini \u002F Grok \u002F Llama 切换",[38,639,640,643],{},[41,641,642],{},"CSV \u002F 邮件 \u002F 日程","：直接读本地 CSV \u002F Calendar \u002F 起草邮件 \u002F Todo",[38,645,646,649],{},[41,647,648],{},"3 周免费试用","：体验完整再决策",[20,651,95],{"id":95},[35,653,654,660,666,672],{},[38,655,656,659],{},[41,657,658],{},"Free Trial","：3 周完整功能，无信用卡",[38,661,662,665],{},[41,663,664],{},"Personal","：~$59 一次买断（永久授权 + 永久更新）",[38,667,668,671],{},[41,669,670],{},"Business \u002F Pro","：~$99 一次买断 + 优先支持 + 商用授权",[38,673,674],{},"API 费用单算（OpenAI \u002F Anthropic 按 token 计费）",[152,676,677],{},[25,678,679],{},"真实成本预估：重度日用 GPT-5.x \u002F Claude 一个月 $30-80 API 费 + 一次买断 ~$59 = 第一年总投入约 $400-500，长期省于 ChatGPT Pro 月费。",[20,681,683],{"id":682},"实测macos-主力-自由职业-多模型混用","实测（macOS 主力 \u002F 自由职业 \u002F 多模型混用）",[25,685,686],{},[41,687,168],{},[35,689,690,693,696,699,702,705,708],{},[38,691,692],{},"全局 hotkey 召唤体验在 macOS 上非常顺，比开浏览器 + 切 tab 快 10 倍",[38,694,695],{},"多模型对比：同问题同时跑 GPT-5 + Claude Opus + Gemini 看差异",[38,697,698],{},"50+ Assistants 节省 prompt engineering 时间",[38,700,701],{},"数据本地 + 无 telemetry，隐私党非常友好",[38,703,704],{},"一次买断 vs 多家月费的累计性价比高",[38,706,707],{},"BYO API 让账单透明，不会有平台抽成",[38,709,710],{},"MCP 让本地工具可被 AI 调用，文件系统 \u002F DB \u002F Shell",[25,712,713],{},[41,714,193],{},[35,716,717,720,723,726,729,732,735,738],{},[38,718,719],{},"API Key 管理复杂：每家都要单独申请 + 充值 + 监控配额",[38,721,722],{},"使用量爆冷热不均，BYO 模型 API 费偶尔月底惊喜",[38,724,725],{},"移动端缺失，出门用不上",[38,727,728],{},"Linux 版本更新偶尔比 macOS 慢",[38,730,731],{},"中文 prompt 效果依赖底层模型，UI 英文为主",[38,733,734],{},"50+ Assistants 质量参差，要挑高赞的用",[38,736,737],{},"团队协作 \u002F 云同步不是产品重点",[38,739,740],{},"学习曲线：自定义 Assistant + Skill 体系花时间",[20,742,216],{"id":216},[218,744,745,748,751,754,757,760,763],{},[38,746,747],{},"heyalice.app → 下载 macOS \u002F Windows \u002F Linux 安装包",[38,749,750],{},"启动 → 3 周免费试用激活",[38,752,753],{},"Settings → 配 API Key（最少配一家，推荐 OpenRouter 统一）",[38,755,756],{},"试 Assistant Marketplace 装 'Meeting Genius' \u002F 'Bug Hunter'",[38,758,759],{},"自定义全局 hotkey（默认 Cmd+Shift+Space）",[38,761,762],{},"任何 App 按 hotkey → 输入 prompt → 选 Assistant + 模型 → 干活",[38,764,765],{},"满意后选 Personal $59 \u002F Business $99 买断",[20,767,248],{"id":248},[97,769,770,787],{},[100,771,772],{},[103,773,774,776,778,781,784],{},[106,775,257],{},[106,777,566],{},[106,779,780],{},"Raycast AI",[106,782,783],{},"Claude Desktop",[106,785,786],{},"ChatGPT Desktop",[115,788,789,805,821,836,851,866,880,896,909],{},[103,790,791,794,797,800,803],{},[120,792,793],{},"全局 hotkey",[120,795,796],{},"✅ 顶级",[120,798,799],{},"✅ Raycast",[120,801,802],{},"弱",[120,804,802],{},[103,806,807,810,812,815,818],{},[120,808,809],{},"BYO API",[120,811,377],{},[120,813,814],{},"❌ 内置",[120,816,817],{},"❌ Anthropic",[120,819,820],{},"❌ OpenAI",[103,822,823,826,829,832,834],{},[120,824,825],{},"一次买断",[120,827,828],{},"✅ $59-99",[120,830,831],{},"$10\u002F月",[120,833,136],{},[120,835,136],{},[103,837,838,841,843,845,848],{},[120,839,840],{},"多模型一窗",[120,842,377],{},[120,844,377],{},[120,846,847],{},"Claude only",[120,849,850],{},"OpenAI only",[103,852,853,856,858,861,864],{},[120,854,855],{},"MCP",[120,857,377],{},[120,859,860],{},"部分",[120,862,863],{},"✅ 旗舰",[120,865,860],{},[103,867,868,870,873,876,878],{},[120,869,630],{},[120,871,872],{},"✅ 零云",[120,874,875],{},"–",[120,877,875],{},[120,879,875],{},[103,881,882,885,888,891,893],{},[120,883,884],{},"平台",[120,886,887],{},"macOS\u002FWin\u002FLinux",[120,889,890],{},"macOS only",[120,892,887],{},[120,894,895],{},"macOS\u002FWin",[103,897,898,901,903,905,907],{},[120,899,900],{},"移动端",[120,902,299],{},[120,904,299],{},[120,906,875],{},[120,908,377],{},[103,910,911,914,917,920,923],{},[120,912,913],{},"适合",[120,915,916],{},"全局 AI + 多模型 + 买断",[120,918,919],{},"Mac 启动器 + AI",[120,921,922],{},"MCP 生态",[120,924,925],{},"OpenAI 全家桶",[20,927,382],{"id":382},[35,929,930,936,942,948,954,960,966,972,978],{},[38,931,932,935],{},[41,933,934],{},"API Key 用 OpenRouter 统一","：避免管理 5 家账号 \u002F 5 个充值",[38,937,938,941],{},[41,939,940],{},"API 预算 cap","：每家 API console 设月度 cap，避免月底炸账单",[38,943,944,947],{},[41,945,946],{},"Assistant 不要装太多","：50+ 装一半就乱，按当前项目装 3-5 个",[38,949,950,953],{},[41,951,952],{},"Linux 版本滞后","：macOS \u002F Windows 体验更稳",[38,955,956,959],{},[41,957,958],{},"隐私是核心卖点","：装第三方 Skill \u002F Assistant 前看 source \u002F 权限声明",[38,961,962,965],{},[41,963,964],{},"快捷键冲突","：默认 Cmd+Shift+Space 和 Spotlight 冲突，改为 Cmd+\u002F",[38,967,968,971],{},[41,969,970],{},"中文场景","：自带 API 接 DeepSeek \u002F Qwen \u002F GLM 走 OpenRouter，prompt 用中文 OK",[38,973,974,977],{},[41,975,976],{},"不要一次升级到最新版","：5.x 改动大，pin minor 版本观察社区反馈",[38,979,980,983],{},[41,981,982],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[20,985,424],{"id":423},[35,987,988,991,994,997,1000,1003,1006,1009],{},[38,989,990],{},"✅ macOS \u002F Windows 主力 + 想全局 hotkey 唤起 AI",[38,992,993],{},"✅ 多模型用户不想被单 vendor 锁定",[38,995,996],{},"✅ 隐私敏感 + 数据全本地",[38,998,999],{},"✅ 自由职业 \u002F 个人开发者 + 不愿月费",[38,1001,1002],{},"❌ 纯网页党 \u002F iPad \u002F 移动主力",[38,1004,1005],{},"❌ 团队协作 + 共享 workspace（用 Claude Team \u002F ChatGPT Team）",[38,1007,1008],{},"❌ 不想管理 API Key 的纯用户",[38,1010,1011],{},"❌ 中国大陆海外卡 + API 不可得",[20,1013,484],{"id":484},[35,1015,1016,1022,1028],{},[38,1017,1018],{},[224,1019,1021],{"href":1020},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fclaude-desktop","Claude Desktop 评测",[38,1023,1024],{},[224,1025,1027],{"href":1026},"\u002Ftools\u002Fagent\u002Fdesktop\u002Fopenclaw","OpenClaw 评测",[38,1029,1030],{},[224,1031,1033],{"href":1032},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith","Flowith 评测",[20,1035,498],{"id":498},[218,1037,1038,1045,1052,1059],{},[38,1039,1040,1041],{},"Alice 官网（heyalice.app）",[224,1042,1043],{"href":1043,"rel":1044},"https:\u002F\u002Fheyalice.app\u002F",[228],[38,1046,1047,1048],{},"Comparateur-IA — Alice AI Review 2026（BYO API \u002F 3 周试用 \u002F 50+ Assistant）",[224,1049,1050],{"href":1050,"rel":1051},"https:\u002F\u002Fcomparateur-ia.com\u002Fen\u002Freviews\u002Falice-ai",[228],[38,1053,1054,1055],{},"AI Tools Cafe — Alice Pricing & Features 2026 ",[224,1056,1057],{"href":1057,"rel":1058},"https:\u002F\u002Faitoolscafe.com\u002Ftool\u002Falice",[228],[38,1060,1061,1062],{},"Skywork — Alice AI Ultimate 2026 Guide ",[224,1063,1064],{"href":1064,"rel":1065},"https:\u002F\u002Fskywork.ai\u002Fskypage\u002Fen\u002Falice-ai-bot-guide\u002F2028644172050882560",[228],{"title":513,"searchDepth":514,"depth":514,"links":1067},[1068,1069,1070,1071,1072,1073,1074,1075,1076,1077],{"id":22,"depth":517,"text":23},{"id":33,"depth":517,"text":33},{"id":95,"depth":517,"text":95},{"id":682,"depth":517,"text":683},{"id":216,"depth":517,"text":216},{"id":248,"depth":517,"text":248},{"id":382,"depth":517,"text":382},{"id":423,"depth":517,"text":424},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"\u002Fimg\u002Ftools\u002Falice.webp","Alice 真实评测：Greg Rog \u002F Techsistence 团队出品的 macOS \u002F Windows \u002F Linux 原生桌面 AI 助手（heyalice.app）。差异点：OS 级全局快捷键唤起 + 自带 API Key（OpenAI \u002F Claude \u002F Gemini \u002F Grok \u002F Groq）+ 数据全本地存储 + 50+ ready-to-use Assistants + 200+ Skills 社区库 + MCP \u002F Zapier \u002F Make \u002F n8n 集成。版本 5.0 已发布，8000+ 创作者使用。3 周免费试用，无月费订阅，付费一次买断。",[1081,1084,1087,1090],{"q":1082,"a":1083},"Alice 和 Raycast AI \u002F Claude Desktop \u002F ChatGPT Desktop 怎么选？","Alice 强在『全局快捷键 + BYO API + 一次买断 + 隐私本地』——多模型用户 \u002F 自由职业 \u002F 隐私敏感党最划算。Raycast AI 是 Raycast 启动器内置 AI，深度集成快捷指令但限 Raycast 生态。Claude Desktop 强 MCP + Anthropic 模型。ChatGPT Desktop 强 OpenAI 全家桶。要 Mac 全局 hotkey + 多模型 + 不订阅 → Alice；要工具栏启动器 + 简单 AI → Raycast AI；要 MCP 生态 → Claude Desktop。",{"q":1085,"a":1086},"为什么要自带 API Key？","Alice 自身不卖 LLM 服务，让你直接用 OpenAI \u002F Anthropic \u002F Google \u002F xAI \u002F Groq 的 API。优点：透明计费 + 同一 key 多工具复用 + 不依赖 Alice 商业稳定。缺点：要自己申请 + 充值多家 API + 重度用户成本估算难。OpenRouter 可以一个 key 接所有模型。",{"q":1088,"a":1089},"Skills 和 Assistants 区别？","Assistant 是预配置 system prompt + 工具 + 模型的『角色』（如 'Deal Closer' \u002F 'Bug Hunter' \u002F 'Meeting Genius'），打开就是这个角色；Skill 是 Assistant 内部可调用的『能力包』（搜索 \u002F 摘要 \u002F 翻译 \u002F 数据分析等）。50+ Assistants + 200+ Skills 由 power user 社区贡献，免费可装。",{"q":1091,"a":1092},"中国大陆能用吗？","App 本身可下载 + 本地运行。海外信用卡买断 + 海外 LLM API Key 是门槛。OpenRouter 中转可接国产模型（智谱 \u002F DeepSeek \u002F Qwen），跑国内场景。隐私上数据全本地存储，无国外服务器同步。",[534],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Falice",[1097,1098,1099],"macos","windows","linux",[1101,1105,1109],{"plan":658,"price":1102,"features":1103,"notes":1104},"$0 · 3 周","完整功能体验","无信用卡",{"plan":664,"price":1106,"features":1107,"notes":1108},"~$59 一次","永久授权 + 50+ Assistants + 200+ Skills + MCP\u002FZapier\u002FMake\u002Fn8n","个人买断",{"plan":670,"price":1110,"features":1111,"notes":1112},"~$99 一次","Personal + 优先支持 + 商用授权 + 更新永久免费","商业 \u002F 团队","$59-99 一次买断 + 3 周免费试用 \u002F 自带 API Key 走 LLM 计费","2026-06-19",[1116],"onboarding\u002Fmacos-global-ai-workflow",{"power":547,"ux":548,"price":547,"cn_support":514,"stability":547},{"title":566,"description":1079},"Alice - 桌面 AI 助手评测与使用指南 | AIHO","agent\u002Fgeneral\u002Falice",[1122,1124,1126,1128],{"name":1040,"url":1043,"accessed":1123},"2026-06-24",{"name":1125,"url":1050,"accessed":1123},"Comparateur-IA — Alice AI Review 2026",{"name":1127,"url":1057,"accessed":1123},"AI Tools Cafe — Alice Pricing & Features 2026",{"name":1129,"url":1064,"accessed":1123},"Skywork — Alice AI Ultimate 2026 Guide","tools\u002Fagent\u002Fgeneral\u002Falice","heyalice.app 桌面 AI 助手——OS 级全局快捷键 + 多模型 + 50+ Assistants \u002F 200+ Skills",[1133,1134,1135,1136,1137,1097],"desktop-assistant","multi-model","byo-api","privacy","hotkey","桌面 AI 助手里最像 Raycast 的存在——全局快捷键 + 一次买断 + 自带 API。重度多模型用户 + macOS 党 + 隐私敏感首选。要团队协作 \u002F 云同步走 Claude Desktop \u002F ChatGPT Team。","https:\u002F\u002Fheyalice.app","gHImGKuWDLsVnjqiLMxk-0Z0nmt3odFLiFTKM88NsZo",{"id":1142,"title":1143,"alternatives":1144,"api_compatible":15,"body":1145,"category":528,"chinese_friendly":547,"cover":1622,"description":1623,"domestic":531,"extension":532,"faq":1624,"free":531,"github":15,"languages":1637,"lastVerified":15,"meta":1640,"models":15,"navigation":537,"notSuitable":15,"opensource":531,"path":1032,"pillar":539,"platforms":1641,"priceTable":1643,"pricing":1659,"published":1114,"relatedPlaybooks":1660,"relatedReviews":1662,"score":1664,"self_host":531,"seo":1665,"seoTitle":1666,"slug":14,"sources":1667,"stem":1676,"suitable":15,"tagline":1677,"tags":1678,"updated":1123,"verdict":1683,"website":1587,"__hash__":1684},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fflowith.md","Flowith",[12,1120,568],{"type":17,"value":1146,"toc":1610},[1147,1149,1152,1155,1157,1219,1221,1245,1250,1254,1258,1281,1285,1311,1313,1333,1335,1468,1470,1531,1533,1559,1561,1578,1580],[20,1148,23],{"id":22},[25,1150,1151],{},"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。",[25,1153,1154],{},"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。",[20,1156,33],{"id":33},[35,1158,1159,1165,1171,1177,1183,1189,1195,1201,1207,1213],{},[38,1160,1161,1164],{},[41,1162,1163],{},"无限 2D 画布","：每次 AI 交互 = 节点，可分支 \u002F 合并 \u002F 并行",[38,1166,1167,1170],{},[41,1168,1169],{},"Agent Neo","：10M token 上下文 + 1000+ 步自治 + 动态适应中间结果",[38,1172,1173,1176],{},[41,1174,1175],{},"Knowledge Garden","：文档拆解成 Seeds 知识单元，按需调用",[38,1178,1179,1182],{},[41,1180,1181],{},"40+ AI 模型","：GPT-5 \u002F Claude \u002F Gemini \u002F DeepSeek \u002F 国产模型并存",[38,1184,1185,1188],{},[41,1186,1187],{},"多线程并行","：同时跑多个 thread，画布一览",[38,1190,1191,1194],{},[41,1192,1193],{},"FlowithOS","：下一代 AI Agent OS（Pro+ 早期预览）",[38,1196,1197,1200],{},[41,1198,1199],{},"iOS App","：2026 上线，移动 workspace 访问",[38,1202,1203,1206],{},[41,1204,1205],{},"图像 \u002F 视频批量","：Pro+ 解锁批处理",[38,1208,1209,1212],{},[41,1210,1211],{},"商业授权","：Pro+ 包含商业使用权",[38,1214,1215,1218],{},[41,1216,1217],{},"Web Control UI","：浏览器原生，多设备同步",[20,1220,95],{"id":95},[35,1222,1223,1228,1233,1239],{},[38,1224,1225,1227],{},[41,1226,122],{},"：$0；300 一次性 credits（试水级）",[38,1229,1230,1232],{},[41,1231,133],{},"：$19.90\u002F月（年付 $15.32）；22,000 月度 credits",[38,1234,1235,1238],{},[41,1236,1237],{},"Ultimate","：$49.90\u002F月（年付 $39.92）；85,000 credits + 优先队列",[38,1240,1241,1244],{},[41,1242,1243],{},"Infinite","：$499.90\u002F月（年付 $459.90）；1,000,000 credits + 创始人直通",[152,1246,1247],{},[25,1248,1249],{},"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。",[20,1251,1253],{"id":1252},"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）",[25,1255,1256],{},[41,1257,168],{},[35,1259,1260,1263,1266,1269,1272,1275,1278],{},[38,1261,1262],{},"画布让整个项目结构一眼可见，比 ChatGPT 翻 thread 高效得多",[38,1264,1265],{},"Agent Neo 跑 10M token 长上下文任务时表现确实超线性 chat",[38,1267,1268],{},"Knowledge Garden 的 Seeds 设计精妙，文档复用无重复 token 成本",[38,1270,1271],{},"40+ 模型一窗体内切换 + 对比",[38,1273,1274],{},"多设备同步流畅",[38,1276,1277],{},"中文支持良好（接入 DeepSeek \u002F GLM 等国产模型）",[38,1279,1280],{},"学术 \u002F 战略 \u002F 内容创作场景非常顺手",[25,1282,1283],{},[41,1284,193],{},[35,1286,1287,1290,1293,1296,1299,1302,1305,1308],{},[38,1288,1289],{},"credit 消耗变化大，前沿模型一条 prompt 烧 5k+ credit",[38,1291,1292],{},"学习曲线明显，画布操作 + 节点连线要花时间",[38,1294,1295],{},"简单问答场景 Flowith 反而慢于 ChatGPT",[38,1297,1298],{},"Free 300 credits 不够体验完整流程",[38,1300,1301],{},"Agent Neo 偶尔『过度自治』产出不可控",[38,1303,1304],{},"移动 iOS 体验不如桌面 Web",[38,1306,1307],{},"商业授权要 Pro 起步，Free \u002F 试用产物商用合规要看条款",[38,1309,1310],{},"价格阶梯陡：Pro $20 → Ultimate $50 → Infinite $500，中端断档",[20,1312,216],{"id":216},[218,1314,1315,1318,1321,1324,1327,1330],{},[38,1316,1317],{},"flowith.io → Free 注册 → 拿 300 credits",[38,1319,1320],{},"新建画布 → 试 Quick Start 模板（research \u002F writing \u002F website）",[38,1322,1323],{},"画布上 + 添加节点 → 选模型 → 输入 prompt → 节点输出 → 拖出新节点延展",[38,1325,1326],{},"Knowledge Garden → 上传 3-5 个 PDF \u002F 笔记 → Seeds 自动生成",[38,1328,1329],{},"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",[38,1331,1332],{},"看 credit 消耗 → 觉得划算升 Pro \u002F Ultimate",[20,1334,248],{"id":248},[97,1336,1337,1353],{},[100,1338,1339],{},[103,1340,1341,1343,1345,1347,1350],{},[106,1342,257],{},[106,1344,1143],{},[106,1346,262],{},[106,1348,1349],{},"ChatGPT",[106,1351,1352],{},"Claude",[115,1354,1355,1371,1388,1405,1422,1437,1452],{},[103,1356,1357,1360,1363,1366,1369],{},[120,1358,1359],{},"形态",[120,1361,1362],{},"无限画布 + 节点",[120,1364,1365],{},"多 Agent + Sparkpage",[120,1367,1368],{},"线性 chat",[120,1370,1368],{},[103,1372,1373,1376,1379,1382,1385],{},[120,1374,1375],{},"自治 agent",[120,1377,1378],{},"✅ Neo 1000+ 步",[120,1380,1381],{},"✅ Super Agent",[120,1383,1384],{},"✅ Operator",[120,1386,1387],{},"❌（API 走）",[103,1389,1390,1393,1396,1399,1402],{},[120,1391,1392],{},"上下文",[120,1394,1395],{},"10M token",[120,1397,1398],{},"200K",[120,1400,1401],{},"1M（GPT-5）",[120,1403,1404],{},"1M（Claude）",[103,1406,1407,1410,1413,1416,1419],{},[120,1408,1409],{},"模型数",[120,1411,1412],{},"40+",[120,1414,1415],{},"多家",[120,1417,1418],{},"OpenAI",[120,1420,1421],{},"Anthropic",[103,1423,1424,1427,1430,1432,1435],{},[120,1425,1426],{},"Knowledge base",[120,1428,1429],{},"✅ Seeds",[120,1431,875],{},[120,1433,1434],{},"Projects",[120,1436,1434],{},[103,1438,1439,1442,1445,1448,1450],{},[120,1440,1441],{},"起价",[120,1443,1444],{},"$19.90\u002F月",[120,1446,1447],{},"$25\u002F月",[120,1449,136],{},[120,1451,136],{},[103,1453,1454,1456,1459,1462,1465],{},[120,1455,913],{},[120,1457,1458],{},"深度多线程 + 长任务",[120,1460,1461],{},"全能 Super Agent",[120,1463,1464],{},"通用",[120,1466,1467],{},"Coding \u002F 长文",[20,1469,382],{"id":382},[35,1471,1472,1478,1484,1490,1496,1502,1508,1514,1519,1525],{},[38,1473,1474,1477],{},[41,1475,1476],{},"从 Pro 起","：Free 300 credits 玩不出深度",[38,1479,1480,1483],{},[41,1481,1482],{},"Knowledge Garden 文档先放进去","：所有任务再调用，省 token",[38,1485,1486,1489],{},[41,1487,1488],{},"Agent Neo 任务先小后大","：先 100 步任务感受效果，再上 1000 步",[38,1491,1492,1495],{},[41,1493,1494],{},"credit 监控","：Settings 看每日消耗，前沿模型烧得快",[38,1497,1498,1501],{},[41,1499,1500],{},"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",[38,1503,1504,1507],{},[41,1505,1506],{},"年付折扣","：Pro 年付 $15.32 vs 月付 $19.90 一年省 $55",[38,1509,1510,1513],{},[41,1511,1512],{},"商业产物","：Free 试用产物商用前看条款，Pro+ 才有 commercial license",[38,1515,1516,1518],{},[41,1517,900],{},"：iOS App 用于查看 \u002F 复用，深度编辑回桌面 Web",[38,1520,1521,1524],{},[41,1522,1523],{},"不要把 Flowith 当 ChatGPT 用","：简单问答用 ChatGPT，复杂多分支用 Flowith",[38,1526,1527,1530],{},[41,1528,1529],{},"Seeds 数量","：单 Knowledge Garden 不要塞太多，分主题建多个 Garden",[20,1532,424],{"id":423},[35,1534,1535,1538,1541,1544,1547,1550,1553,1556],{},[38,1536,1537],{},"✅ 深度研究 \u002F 长篇内容 \u002F 长期项目",[38,1539,1540],{},"✅ 要 10M token 超长上下文做综合分析",[38,1542,1543],{},"✅ 多模型 + 多线程并行 + 画布化思考者",[38,1545,1546],{},"✅ 自治 agent 跑长任务（Neo 1000+ 步）",[38,1548,1549],{},"❌ 纯简单问答（用 ChatGPT \u002F Claude）",[38,1551,1552],{},"❌ 预算极紧 + 不愿学习曲线",[38,1554,1555],{},"❌ 线性思维 + 单线程偏好",[38,1557,1558],{},"❌ 严格自托管 \u002F 数据零云（Flowith 是 SaaS）",[20,1560,484],{"id":484},[35,1562,1563,1569,1574],{},[38,1564,1565],{},[224,1566,1568],{"href":1567},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark","Genspark 评测",[38,1570,1571],{},[224,1572,1573],{"href":1095},"Alice 评测",[38,1575,1576],{},[224,1577,1021],{"href":1020},[20,1579,498],{"id":498},[218,1581,1582,1589,1596,1603],{},[38,1583,1584,1585],{},"Flowith 官网 + Pricing ",[224,1586,1587],{"href":1587,"rel":1588},"https:\u002F\u002Fflowith.io",[228],[38,1590,1591,1592],{},"Toolworthy — Flowith AI Review 2026（Agent Neo \u002F Knowledge Garden）",[224,1593,1594],{"href":1594,"rel":1595},"https:\u002F\u002Fwww.toolworthy.ai\u002Ftool\u002Fflowith-ai",[228],[38,1597,1598,1599],{},"BlockSentient — Flowith 详细评测 + 价格 + FAQ ",[224,1600,1601],{"href":1601,"rel":1602},"https:\u002F\u002Fblocksentient.com\u002Freview\u002Fflowith",[228],[38,1604,1605,1606],{},"OpenTools — Flowith Review May 2026 ",[224,1607,1608],{"href":1608,"rel":1609},"https:\u002F\u002Fopentools.ai\u002Ftools\u002Fflowith",[228],{"title":513,"searchDepth":514,"depth":514,"links":1611},[1612,1613,1614,1615,1616,1617,1618,1619,1620,1621],{"id":22,"depth":517,"text":23},{"id":33,"depth":517,"text":33},{"id":95,"depth":517,"text":95},{"id":1252,"depth":517,"text":1253},{"id":216,"depth":517,"text":216},{"id":248,"depth":517,"text":248},{"id":382,"depth":517,"text":382},{"id":423,"depth":517,"text":424},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"\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。",[1625,1628,1631,1634],{"q":1626,"a":1627},"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":1629,"a":1630},"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":1632,"a":1633},"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":1635,"a":1636},"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。",[534,1638,1639],"zh","multi",{},[541,542,1642],"macos-flowithos",[1644,1648,1651,1655],{"plan":1645,"price":125,"features":1646,"notes":1647},"Starter (Free)","300 一次性 credits + 标准模型 + 5 并发 + 2 设备 + 标准速度","试水",{"plan":133,"price":1444,"features":1649,"notes":1650},"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":1237,"price":1652,"features":1653,"notes":1654},"$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":1243,"price":1656,"features":1657,"notes":1658},"$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）",[1661],"onboarding\u002Fcanvas-ai-research-workflow",[1663],"manus-deep-review",{"power":548,"ux":547,"price":514,"cn_support":547,"stability":547},{"title":1143,"description":1623},"Flowith 评测 2026：无限画布 AI 工作空间，10M token 上下文",[1668,1670,1672,1674],{"name":1669,"url":1587,"accessed":1123},"Flowith 官网",{"name":1671,"url":1594,"accessed":1123},"Toolworthy — Flowith Review 2026",{"name":1673,"url":1601,"accessed":1123},"BlockSentient — Flowith 2026 详细评测",{"name":1675,"url":1608,"accessed":1123},"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",[1679,1134,1680,1681,1682],"canvas","agentic","knowledge-base","flowith","线性 chat 装不下的复杂深度工作专用——研究 \u002F 报告 \u002F 网站搭建 \u002F 长期项目首选画布。简单问答 \u002F 短任务用 ChatGPT \u002F Claude 即可，Flowith 学习曲线 + credit 消耗都偏高。","DgAWQdeneQlvBLMWs6vq8AoTrZcNh_OdXzfktQ2JvmQ",{"id":1686,"title":262,"alternatives":1687,"api_compatible":15,"body":1688,"category":528,"chinese_friendly":547,"cover":2185,"description":2186,"domestic":531,"extension":532,"faq":2187,"free":531,"github":15,"languages":2200,"lastVerified":15,"meta":2201,"models":15,"navigation":537,"notSuitable":15,"opensource":531,"path":1567,"pillar":539,"platforms":2202,"priceTable":2203,"pricing":2212,"published":1114,"relatedPlaybooks":2213,"relatedReviews":2215,"score":2218,"self_host":531,"seo":2219,"seoTitle":2220,"slug":12,"sources":2221,"stem":2230,"suitable":15,"tagline":2231,"tags":2232,"updated":1123,"verdict":2238,"website":2239,"__hash__":2240},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fgenspark.md",[14,568,1120],{"type":17,"value":1689,"toc":2173},[1690,1692,1695,1698,1700,1774,1776,1800,1805,1809,1813,1836,1840,1866,1868,1888,1890,2039,2041,2097,2099,2125,2127,2141,2143],[20,1691,23],{"id":22},[25,1693,1694],{},"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。",[25,1696,1697],{},"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）。",[20,1699,33],{"id":33},[35,1701,1702,1708,1714,1720,1726,1732,1738,1744,1750,1756,1762,1768],{},[38,1703,1704,1707],{},[41,1705,1706],{},"Super Agent","：自主规划 + 多步执行 + 工具调用",[38,1709,1710,1713],{},[41,1711,1712],{},"多 Agent 架构","：搜索 \u002F 研究 \u002F 内容 \u002F 调用 \u002F 数据分析 agent 协同",[38,1715,1716,1719],{},[41,1717,1718],{},"Sparkpage","：可视化研究输出（含图表 + 引用 + 可分享链接）",[38,1721,1722,1725],{},[41,1723,1724],{},"AI Slides","：10-15 张幻灯片含图表",[38,1727,1728,1731],{},[41,1729,1730],{},"AI Sites","：完整 landing page 一键生成",[38,1733,1734,1737],{},[41,1735,1736],{},"AI Video","：30-60s 短视频生成",[38,1739,1740,1743],{},[41,1741,1742],{},"AI Pods","：10 分钟 AI podcast 生成",[38,1745,1746,1749],{},[41,1747,1748],{},"Call For Me","：调用真实电话完成预订 \u002F 跟进",[38,1751,1752,1755],{},[41,1753,1754],{},"AI Sheets","：CSV 数据分析 + 自动图表",[38,1757,1758,1761],{},[41,1759,1760],{},"Plus 不限聊天","：o3-Pro \u002F Claude \u002F Gemini 顶级模型 chat 无限",[38,1763,1764,1767],{},[41,1765,1766],{},"iOS \u002F Android App","：移动端可用",[38,1769,1770,1773],{},[41,1771,1772],{},"企业 SSO \u002F API","（Pro+）：集成内部系统",[20,1775,95],{"id":95},[35,1777,1778,1783,1789,1794],{},[38,1779,1780,1782],{},[41,1781,122],{},"：100-200 daily credits（~3-8 简单任务）",[38,1784,1785,1788],{},[41,1786,1787],{},"Plus","：$25\u002F月（年付 $240，~$20\u002F月）；12,000 月度 credits + 顶级模型不限 chat",[38,1790,1791,1793],{},[41,1792,133],{},"：$249\u002F月（年付 $2388，~$199\u002F月）；125,000 credits + 优先 + 早期 + 高端 agent",[38,1795,1796,1799],{},[41,1797,1798],{},"Extra credits","：仅 Pro 可买，$10 \u002F 5,000 credits",[152,1801,1802],{},[25,1803,1804],{},"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。",[20,1806,1808],{"id":1807},"实测营销-销售-内容生产","实测（营销 \u002F 销售 \u002F 内容生产）",[25,1810,1811],{},[41,1812,168],{},[35,1814,1815,1818,1821,1824,1827,1830,1833],{},[38,1816,1817],{},"一句话『做一份 B2B SaaS 竞品分析 + 5 张幻灯片 + landing page』全自动跑通",[38,1819,1820],{},"AI Sheets 处理 CSV 数据 + 自动出图 + 写入 Sparkpage 一步到位",[38,1822,1823],{},"Call For Me 跟进客户 \u002F 餐厅预订实际能用，时效感最强",[38,1825,1826],{},"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",[38,1828,1829],{},"多 Agent 在复杂任务上确实优于单 LLM 的 ChatGPT",[38,1831,1832],{},"Sparkpage 输出可直接分享 + 嵌入",[38,1834,1835],{},"ARR $250M 增长说明产品市场契合度（PMF）非常好",[25,1837,1838],{},[41,1839,193],{},[35,1841,1842,1845,1848,1851,1854,1857,1860,1863],{},[38,1843,1844],{},"credit 消耗不透明，复杂任务前难估算成本",[38,1846,1847],{},"用户反馈 customer support + refund 有问题",[38,1849,1850],{},"生成内容偶尔『AI 味』重，要人工编辑润色",[38,1852,1853],{},"引用 \u002F 来源不如 Perplexity 严谨，学术场景慎用",[38,1855,1856],{},"AI Sites \u002F Video 编辑灵活度低，定制要走外部工具",[38,1858,1859],{},"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",[38,1861,1862],{},"Call For Me 隐私 \u002F 合规要小心（GDPR \u002F 加州 CCPA \u002F 录音同意）",[38,1864,1865],{},"Pro $249 月价格陡，中端断档",[20,1867,216],{"id":216},[218,1869,1870,1873,1876,1879,1882,1885],{},[38,1871,1872],{},"genspark.ai 注册 → Free 拿 100-200 daily credits",[38,1874,1875],{},"Super Agent 试『一句话目标』：『做一份 AI Agent 2026 竞品分析 Sparkpage + 5 张 Slides』",[38,1877,1878],{},"等 5-10 分钟看 Sparkpage 输出 → 编辑 → 分享链接",[38,1880,1881],{},"AI Sheets 上传 CSV → 自动出图 → 集成进 Sparkpage",[38,1883,1884],{},"Call For Me 试一次小餐厅预订（自有号码 + 同意）",[38,1886,1887],{},"Plus $25 \u002F 月体验完整 → 决定 Pro",[20,1889,248],{"id":248},[97,1891,1892,1908],{},[100,1893,1894],{},[103,1895,1896,1898,1900,1902,1905],{},[106,1897,257],{},[106,1899,262],{},[106,1901,1143],{},[106,1903,1904],{},"Perplexity Pro",[106,1906,1907],{},"ChatGPT Plus",[115,1909,1910,1925,1939,1953,1967,1982,1996,2009,2024],{},[103,1911,1912,1914,1917,1920,1922],{},[120,1913,1706],{},[120,1915,1916],{},"✅ 多 Agent",[120,1918,1919],{},"✅ Neo 自治",[120,1921,875],{},[120,1923,1924],{},"Operator",[103,1926,1927,1930,1932,1935,1937],{},[120,1928,1929],{},"可视化输出",[120,1931,296],{},[120,1933,1934],{},"✅ 画布",[120,1936,875],{},[120,1938,875],{},[103,1940,1941,1944,1947,1949,1951],{},[120,1942,1943],{},"真实电话调用",[120,1945,1946],{},"✅ Call For Me",[120,1948,875],{},[120,1950,875],{},[120,1952,875],{},[103,1954,1955,1958,1961,1963,1965],{},[120,1956,1957],{},"一键建站",[120,1959,1960],{},"✅ AI Sites",[120,1962,875],{},[120,1964,875],{},[120,1966,875],{},[103,1968,1969,1972,1975,1977,1979],{},[120,1970,1971],{},"视频 \u002F 音频生成",[120,1973,1974],{},"✅ Video \u002F Pods",[120,1976,860],{},[120,1978,875],{},[120,1980,1981],{},"Sora（独立）",[103,1983,1984,1987,1990,1992,1994],{},[120,1985,1986],{},"引用透明",[120,1988,1989],{},"中",[120,1991,875],{},[120,1993,796],{},[120,1995,860],{},[103,1997,1998,2000,2003,2005,2007],{},[120,1999,1441],{},[120,2001,2002],{},"$25\u002F月（Plus）",[120,2004,1444],{},[120,2006,136],{},[120,2008,136],{},[103,2010,2011,2014,2017,2019,2021],{},[120,2012,2013],{},"最贵",[120,2015,2016],{},"$249\u002F月",[120,2018,1656],{},[120,2020,136],{},[120,2022,2023],{},"$200\u002F月",[103,2025,2026,2028,2031,2034,2037],{},[120,2027,913],{},[120,2029,2030],{},"一站式 Super Agent",[120,2032,2033],{},"画布深度",[120,2035,2036],{},"搜索引用",[120,2038,1464],{},[20,2040,382],{"id":382},[35,2042,2043,2049,2055,2061,2067,2073,2079,2085,2091],{},[38,2044,2045,2048],{},[41,2046,2047],{},"Plus 先用一个月","：评估实际 credit 消耗再决定升 Pro",[38,2050,2051,2054],{},[41,2052,2053],{},"复杂任务前估算 credit","：AI Video \u002F Pods \u002F Sites 烧得快",[38,2056,2057,2060],{},[41,2058,2059],{},"Sparkpage 引用要核实","：学术场景不要直接用，把链接打开看原文",[38,2062,2063,2066],{},[41,2064,2065],{},"Call For Me 合规","：欧盟 \u002F 加州录音同意法规要遵守",[38,2068,2069,2072],{},[41,2070,2071],{},"生成内容人工润色","：AI 味需要花 10-20% 时间打磨",[38,2074,2075,2078],{},[41,2076,2077],{},"地域限制","：在受限国家用 VPN + 海外卡，企业合规要走法务",[38,2080,2081,2084],{},[41,2082,2083],{},"AI Sites 不可深度编辑","：要灵活定制走 Webflow \u002F Framer + AI 工具",[38,2086,2087,2090],{},[41,2088,2089],{},"Pro 不要直接上","：Plus 重度可能仍够用，$200 差价省下来",[38,2092,2093,2096],{},[41,2094,2095],{},"Extra credits 性价比低","：$10 \u002F 5k credits 不如直接升 Pro",[20,2098,424],{"id":423},[35,2100,2101,2104,2107,2110,2113,2116,2119,2122],{},[38,2102,2103],{},"✅ 营销 \u002F 销售 \u002F 内容创作者 + 要全栈输出",[38,2105,2106],{},"✅ Plus $25 重度多模型不限 chat 用户",[38,2108,2109],{},"✅ 要真实电话调用 \u002F 一键建站 \u002F 短视频",[38,2111,2112],{},"✅ 中级专业用户（自由职业 \u002F 小团队）",[38,2114,2115],{},"❌ 纯研究问答（Perplexity 便宜 + 引用强）",[38,2117,2118],{},"❌ 学术严谨场景",[38,2120,2121],{},"❌ 预算极紧",[38,2123,2124],{},"❌ 要画布 + 多线程深度（用 Flowith）",[20,2126,484],{"id":484},[35,2128,2129,2133,2137],{},[38,2130,2131],{},[224,2132,1033],{"href":1032},[38,2134,2135],{},[224,2136,1021],{"href":1020},[38,2138,2139],{},[224,2140,1573],{"href":1095},[20,2142,498],{"id":498},[218,2144,2145,2152,2159,2166],{},[38,2146,2147,2148],{},"Genspark Pricing 官方 ",[224,2149,2150],{"href":2150,"rel":2151},"https:\u002F\u002Fgenspark.ai\u002Fpricing",[228],[38,2153,2154,2155],{},"WebCraft — Genspark 2026 Review（Plus \u002F Pro \u002F credit 消耗）",[224,2156,2157],{"href":2157,"rel":2158},"https:\u002F\u002Fwebscraft.org\u002Fblog\u002Fgenspark-ai-oglyad-superagent-yakiy-avtonomno-stvoryuye-sayti-prezentatsiyi?lang=en",[228],[38,2160,2161,2162],{},"Rimo — Genspark 2026 + ARR $250M 数据 ",[224,2163,2164],{"href":2164,"rel":2165},"https:\u002F\u002Frimo.app\u002Fen\u002Fblogs\u002Fgenspark-ai_en-US",[228],[38,2167,2168,2169],{},"Lindy — Genspark Features 2026 Tested ",[224,2170,2171],{"href":2171,"rel":2172},"https:\u002F\u002Fwww.lindy.ai\u002Fblog\u002Fgenspark-ai-features",[228],{"title":513,"searchDepth":514,"depth":514,"links":2174},[2175,2176,2177,2178,2179,2180,2181,2182,2183,2184],{"id":22,"depth":517,"text":23},{"id":33,"depth":517,"text":33},{"id":95,"depth":517,"text":95},{"id":1807,"depth":517,"text":1808},{"id":216,"depth":517,"text":216},{"id":248,"depth":517,"text":248},{"id":382,"depth":517,"text":382},{"id":423,"depth":517,"text":424},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"\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。",[2188,2191,2194,2197],{"q":2189,"a":2190},"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":2192,"a":2193},"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":2195,"a":2196},"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":2198,"a":2199},"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。",[534,1638,1639],{},[541,542,543],[2204,2206,2209],{"plan":122,"price":125,"features":2205,"notes":1647},"100-200 daily credits + 基础模型 + Sparkpage \u002F 研究",{"plan":1787,"price":1447,"features":2207,"notes":2208},"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":133,"price":2016,"features":2210,"notes":2211},"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",[2214],"onboarding\u002Fsuper-agent-workflow",[2216,1663,2217],"autoglm-deep-review","openmanus-deep-review",{"power":548,"ux":547,"price":514,"cn_support":514,"stability":547},{"title":262,"description":2186},"Genspark 评测 2026：AI Super Agent，多 Agent 架构 + Sparkpage",[2222,2224,2226,2228],{"name":2223,"url":2150,"accessed":1123},"Genspark 官网 + Pricing",{"name":2225,"url":2157,"accessed":1123},"WebCraft — Genspark 2026 Review (Plus \u002F Pro \u002F Use Cases)",{"name":2227,"url":2164,"accessed":1123},"Rimo — Genspark 2026 + ARR $250M",{"name":2229,"url":2171,"accessed":1123},"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",[2233,2234,2235,2236,2237],"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","K7tEvPPxVUS-eXuVnXfonA68X8BnuMIm-9NB1JivuNk",{"id":2242,"title":2243,"alternatives":2244,"api_compatible":2246,"body":2250,"category":528,"chinese_friendly":517,"cover":2949,"description":2950,"domestic":531,"extension":532,"faq":15,"free":531,"github":2951,"languages":2952,"lastVerified":15,"meta":2953,"models":2954,"navigation":537,"notSuitable":2959,"opensource":537,"path":2964,"pillar":539,"platforms":2965,"priceTable":2966,"pricing":2978,"published":2979,"relatedPlaybooks":15,"relatedReviews":2980,"score":2982,"self_host":537,"seo":2983,"seoTitle":2984,"slug":2985,"sources":2986,"stem":3001,"suitable":3002,"tagline":3008,"tags":3009,"updated":2979,"verdict":3016,"website":2951,"__hash__":3017},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent.md","Hermes Agent",[13,2245,569],"agent\u002Fgeneral\u002Fopenmanus",[2247,2248,2249],"openai","anthropic","local",{"type":17,"value":2251,"toc":2927},[2252,2255,2262,2268,2278,2282,2287,2294,2320,2327,2331,2338,2352,2355,2359,2365,2444,2450,2452,2455,2461,2479,2482,2485,2488,2508,2511,2514,2517,2531,2534,2537,2614,2629,2632,2638,2652,2655,2658,2684,2686,2740,2746,2749,2857,2859,2865,2871,2877,2883,2889,2891,2923],[20,2253,2254],{"id":2254},"一句话结论",[25,2256,2257,2258,2261],{},"如果你想要一个",[41,2259,2260],{},"完全开源、能自我进化、有长期记忆、可以部署在十几个消息平台上的 AI Agent","——Hermes Agent 在 2026 年是最成熟的选择。GitHub 10 万 Star，2 月开源到 5 月就翻了一倍。",[25,2263,2264,2265],{},"但它的门槛比 Manus 高一个量级：没有漂亮的 Web 界面，需要自己装 Python 环境、配置 LLM API、管理记忆数据库。",[41,2266,2267],{},"它面向的是\"想拥有自己 Agent 基础设施\"的极客，不是\"想要一个好用 AI 助手\"的普通用户。",[2269,2270,2272],"callout",{"type":2271},"info",[25,2273,2274,2277],{},[41,2275,2276],{},"定位区分","：Manus 是\"帮你干完事的云端 Agent\"，OpenClaw 是\"常驻你电脑的 AI 操作系统\"，Hermes Agent 是\"你能完全掌控和改造的自进化 Agent\"。三者目标不同，选型看你需要的是\"用\"还是\"拥有\"。",[20,2279,2281],{"id":2280},"hermes-agent-解决的核心问题","Hermes Agent 解决的核心问题",[2283,2284,2286],"h3",{"id":2285},"问题-1agent-没有长期记忆","问题 1：Agent 没有\"长期记忆\"",[25,2288,2289,2290,2293],{},"大多数 AI Agent 的记忆只有当前会话的上下文窗口。你昨天让它做的事、偏好、上下文，今天全忘了。Hermes Agent 内置了",[41,2291,2292],{},"分层记忆系统","：",[35,2295,2296,2302,2308,2314],{},[38,2297,2298,2301],{},[41,2299,2300],{},"工作记忆","：当前会话上下文，类似人类短期记忆",[38,2303,2304,2307],{},[41,2305,2306],{},"情景记忆","：记录每次交互的时间、事件、结果，支持按时间线回溯",[38,2309,2310,2313],{},[41,2311,2312],{},"语义记忆","：从交互中抽取知识（你告诉它的偏好、事实、规则），长期保存",[38,2315,2316,2319],{},[41,2317,2318],{},"技能记忆","：Agent 自动总结\"怎么做某件事\"的步骤，下次直接调用",[25,2321,2322,2323,2326],{},"这意味着 Hermes Agent 是",[41,2324,2325],{},"越用越好用","的——它会记住你的工作习惯、项目上下文、你纠正过的错误。",[2283,2328,2330],{"id":2329},"问题-2单个模型能力有天花板","问题 2：单个模型能力有天花板",[25,2332,2333,2334,2337],{},"2026 年 6 月，Nous Research 给 Hermes Agent 加了 ",[41,2335,2336],{},"MoA（Mixture of Agents）"," 功能：",[35,2339,2340,2343,2346,2349],{},[38,2341,2342],{},"多个 Agent 实例并行处理同一个任务",[38,2344,2345],{},"每个 Agent 可以用不同模型（Claude \u002F GPT \u002F Hermes \u002F 本地模型）",[38,2347,2348],{},"结果由一个\"聚合 Agent\"合并去重、交叉验证",[38,2350,2351],{},"最终输出质量 > 任何单个模型",[25,2353,2354],{},"实际效果：用 3 个中档模型做 MoA，输出质量可以接近 1 个顶级模型，但成本只有 1\u002F3。",[2283,2356,2358],{"id":2357},"问题-3agent-只能在一个地方用","问题 3：Agent 只能在一个地方用",[25,2360,2361,2362,2293],{},"Hermes Agent 支持 ",[41,2363,2364],{},"14 个消息渠道",[97,2366,2367,2376],{},[100,2368,2369],{},[103,2370,2371,2373],{},[106,2372,884],{},[106,2374,2375],{},"状态",[115,2377,2378,2386,2393,2400,2407,2414,2421,2428,2436],{},[103,2379,2380,2383],{},[120,2381,2382],{},"Telegram",[120,2384,2385],{},"✅ 推荐，最稳定",[103,2387,2388,2391],{},[120,2389,2390],{},"Discord",[120,2392,377],{},[103,2394,2395,2398],{},[120,2396,2397],{},"Slack",[120,2399,377],{},[103,2401,2402,2405],{},[120,2403,2404],{},"WhatsApp",[120,2406,377],{},[103,2408,2409,2412],{},[120,2410,2411],{},"Signal",[120,2413,377],{},[103,2415,2416,2419],{},[120,2417,2418],{},"Email",[120,2420,377],{},[103,2422,2423,2426],{},[120,2424,2425],{},"CLI（终端）",[120,2427,377],{},[103,2429,2430,2433],{},[120,2431,2432],{},"Web UI",[120,2434,2435],{},"✅ 基础版",[103,2437,2438,2441],{},[120,2439,2440],{},"微信",[120,2442,2443],{},"⚠️ 非官方，不稳定",[25,2445,2446,2447],{},"你可以在 Telegram 上给它发消息让它做事，结果推送到 Discord；或者在 CLI 里开发时让它监听 Git 提交自动跑测试。",[41,2448,2449],{},"一个 Agent 实例，多个入口。",[20,2451,33],{"id":33},[2283,2453,2454],{"id":2454},"自我进化",[25,2456,2457,2458,2293],{},"Hermes Agent 最独特的能力是 ",[41,2459,2460],{},"Profile 系统",[35,2462,2463,2466,2469,2476],{},[38,2464,2465],{},"每个 Profile 是一个\"人格 + 技能包\"的组合",[38,2467,2468],{},"你可以创建多个 Profile（如\"代码助手\"、\"研究助手\"、\"项目经理\"）",[38,2470,2471,2472,2475],{},"Agent 在执行任务后会",[41,2473,2474],{},"自动总结经验","，更新 Profile 的技能库",[38,2477,2478],{},"下次遇到类似任务，直接调用已有技能，不用从零开始",[25,2480,2481],{},"这意味着 Hermes Agent 不是\"每次都从零开始的 ChatBot\"，而是\"会积累经验的数字员工\"。",[2283,2483,2484],{"id":2484},"工具调用",[25,2486,2487],{},"Hermes Agent 支持自定义工具（function calling）：",[35,2489,2490,2493,2496,2499,2502,2505],{},[38,2491,2492],{},"搜索引擎（Google \u002F Bing \u002F SearXNG）",[38,2494,2495],{},"代码执行（Python sandbox）",[38,2497,2498],{},"文件读写",[38,2500,2501],{},"Web 浏览（Playwright）",[38,2503,2504],{},"自定义 API 调用",[38,2506,2507],{},"数据库查询",[25,2509,2510],{},"工具配置是 JSON 格式，添加新工具只需写一个 function 定义。",[2283,2512,2513],{"id":2513},"记忆管理",[25,2515,2516],{},"记忆系统基于向量数据库（默认 ChromaDB）：",[35,2518,2519,2522,2525,2528],{},[38,2520,2521],{},"自动从对话中提取关键信息存入语义记忆",[38,2523,2524],{},"支持手动\"forget\"删除特定记忆",[38,2526,2527],{},"记忆有 TTL（过期时间），避免无限膨胀",[38,2529,2530],{},"支持记忆导出\u002F导入（JSON 格式），方便迁移",[20,2532,2533],{"id":2533},"使用体验",[2283,2535,2536],{"id":2536},"安装部署",[2538,2539,2543],"pre",{"className":2540,"code":2541,"language":2542,"meta":513,"style":513},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\ncd hermes-agent\npip install -r requirements.txt\ncp .env.example .env\n# 配置 LLM API key、消息平台 token\npython -m hermes.agent\n","bash",[2544,2545,2546,2562,2571,2585,2596,2602],"code",{"__ignoreMap":513},[2547,2548,2551,2555,2559],"span",{"class":2549,"line":2550},"line",1,[2547,2552,2554],{"class":2553},"sScJk","git",[2547,2556,2558],{"class":2557},"sZZnC"," clone",[2547,2560,2561],{"class":2557}," https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent\n",[2547,2563,2564,2568],{"class":2549,"line":517},[2547,2565,2567],{"class":2566},"sj4cs","cd",[2547,2569,2570],{"class":2557}," hermes-agent\n",[2547,2572,2573,2576,2579,2582],{"class":2549,"line":514},[2547,2574,2575],{"class":2553},"pip",[2547,2577,2578],{"class":2557}," install",[2547,2580,2581],{"class":2566}," -r",[2547,2583,2584],{"class":2557}," requirements.txt\n",[2547,2586,2587,2590,2593],{"class":2549,"line":547},[2547,2588,2589],{"class":2553},"cp",[2547,2591,2592],{"class":2557}," .env.example",[2547,2594,2595],{"class":2557}," .env\n",[2547,2597,2598],{"class":2549,"line":548},[2547,2599,2601],{"class":2600},"sJ8bj","# 配置 LLM API key、消息平台 token\n",[2547,2603,2605,2608,2611],{"class":2549,"line":2604},6,[2547,2606,2607],{"class":2553},"python",[2547,2609,2610],{"class":2566}," -m",[2547,2612,2613],{"class":2557}," hermes.agent\n",[25,2615,2616,2617,2620,2621,2624,2625,2628],{},"部署需要 ",[41,2618,2619],{},"Python 3.11+","、",[41,2622,2623],{},"至少 8GB RAM","（跑本地模型需要更多）、",[41,2626,2627],{},"向量数据库","（默认 ChromaDB，可选 Qdrant）。",[2283,2630,2631],{"id":2631},"日常使用",[25,2633,2634,2635,2293],{},"最顺的使用方式是 ",[41,2636,2637],{},"Telegram + Claude API",[218,2639,2640,2643,2646,2649],{},[38,2641,2642],{},"在 Telegram 上给 Agent 发消息",[38,2644,2645],{},"Agent 读取记忆、规划任务、调用工具",[38,2647,2648],{},"执行过程中实时推送进度",[38,2650,2651],{},"完成后推送结果 + 自动更新记忆",[25,2653,2654],{},"体感类似\"有一个 7×24 小时在线的助手\"，但它不是即问即答——复杂任务可能需要 2-5 分钟。",[2283,2656,2657],{"id":2657},"短板",[35,2659,2660,2666,2672,2678],{},[38,2661,2662,2665],{},[41,2663,2664],{},"文档偏英文","：几乎没有中文文档，国内用户上手门槛高",[38,2667,2668,2671],{},[41,2669,2670],{},"稳定性","：项目迭代极快（每周多个 commit），偶尔有 breaking change",[38,2673,2674,2677],{},[41,2675,2676],{},"资源消耗","：记忆系统 + 多 Agent 会占用较多内存和 API token",[38,2679,2680,2683],{},[41,2681,2682],{},"UI 简陋","：Web UI 只是基础版，不如 Manus \u002F OpenClaw 精致",[20,2685,95],{"id":95},[97,2687,2688,2698],{},[100,2689,2690],{},[103,2691,2692,2695],{},[106,2693,2694],{},"项目",[106,2696,2697],{},"成本",[115,2699,2700,2708,2716,2724,2732],{},[103,2701,2702,2705],{},[120,2703,2704],{},"Hermes Agent 本体",[120,2706,2707],{},"免费（开源）",[103,2709,2710,2713],{},[120,2711,2712],{},"LLM API",[120,2714,2715],{},"BYOK，用 Claude\u002FGPT 按各自 API 计费",[103,2717,2718,2721],{},[120,2719,2720],{},"本地模型",[120,2722,2723],{},"免费但需要 GPU（70B 模型需 ~48GB VRAM）",[103,2725,2726,2729],{},[120,2727,2728],{},"服务器",[120,2730,2731],{},"自托管需要一台 VPS（推荐 4 核 16GB 起步）",[103,2733,2734,2737],{},[120,2735,2736],{},"消息平台",[120,2738,2739],{},"Telegram\u002FDiscord 等均免费",[25,2741,2742,2745],{},[41,2743,2744],{},"最低成本","：一台 $5\u002F月 VPS + Claude API 按量付费 ≈ $10-20\u002F月可跑日常任务。",[20,2747,2748],{"id":2748},"与同类对比",[97,2750,2751,2765],{},[100,2752,2753],{},[103,2754,2755,2757,2759,2762],{},[106,2756,257],{},[106,2758,2243],{},[106,2760,2761],{},"Manus",[106,2763,2764],{},"OpenClaw",[115,2766,2767,2778,2790,2803,2817,2831,2843],{},[103,2768,2769,2772,2774,2776],{},[120,2770,2771],{},"开源",[120,2773,377],{},[120,2775,299],{},[120,2777,377],{},[103,2779,2780,2782,2785,2787],{},[120,2781,2454],{},[120,2783,2784],{},"✅ Profile 系统",[120,2786,299],{},[120,2788,2789],{},"⚠️ 有限",[103,2791,2792,2795,2798,2801],{},[120,2793,2794],{},"长期记忆",[120,2796,2797],{},"✅ 分层记忆",[120,2799,2800],{},"❌ 单会话",[120,2802,377],{},[103,2804,2805,2808,2811,2814],{},[120,2806,2807],{},"跨平台部署",[120,2809,2810],{},"✅ 14 渠道",[120,2812,2813],{},"❌ Web only",[120,2815,2816],{},"⚠️ 桌面+CLI",[103,2818,2819,2822,2825,2828],{},[120,2820,2821],{},"上手难度",[120,2823,2824],{},"★★★★☆",[120,2826,2827],{},"★☆☆☆☆",[120,2829,2830],{},"★★★☆☆",[103,2832,2833,2836,2839,2841],{},[120,2834,2835],{},"中文体验",[120,2837,2838],{},"★★☆☆☆",[120,2840,2824],{},[120,2842,2830],{},[103,2844,2845,2848,2851,2854],{},[120,2846,2847],{},"适合人群",[120,2849,2850],{},"极客\u002F研究者",[120,2852,2853],{},"普通用户",[120,2855,2856],{},"开发者",[20,2858,457],{"id":456},[25,2860,2861,2864],{},[41,2862,2863],{},"Q：Hermes Agent 能用中文交互吗？","\n能，但体验一般。Hermes 4 模型的中文能力不如 Claude\u002FGPT，且文档和社区以英文为主。建议用 Claude\u002FGPT 作为后端模型，中文交互质量会好很多。",[25,2866,2867,2870],{},[41,2868,2869],{},"Q：和 OpenManus 有什么区别？","\nOpenManus 是 Manus 的开源复刻版，定位是\"通用 Agent 执行器\"。Hermes Agent 更侧重\"长期陪伴+自我进化+多平台部署\"。OpenManus 更轻量，Hermes 功能更全但更重。",[25,2872,2873,2876],{},[41,2874,2875],{},"Q：需要什么硬件？","\n纯 API 模式（用 Claude\u002FGPT）只需一台普通 VPS。跑本地 Hermes 4 70B 需要 ~48GB VRAM，405B 需要 ~240GB VRAM（多卡服务器）。",[25,2878,2879,2882],{},[41,2880,2881],{},"Q：记忆数据存在哪？","\n默认存在本地 ChromaDB（SQLite + 向量索引）。可以配置为 Qdrant、Weaviate 等远程向量数据库。数据完全自主，不会上传到任何第三方。",[25,2884,2885,2888],{},[41,2886,2887],{},"Q：能同时跑多个 Profile 吗？","\n可以。每个 Profile 是独立的记忆+技能库，可以并行运行。比如同时让\"代码助手\"Profile 审查代码、\"研究助手\"Profile 做市场调研。",[20,2890,484],{"id":484},[35,2892,2893,2899,2905,2911,2917],{},[38,2894,2895],{},[224,2896,2898],{"href":2897},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus 工具卡",[38,2900,2901],{},[224,2902,2904],{"href":2903},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus 工具卡",[38,2906,2907],{},[224,2908,2910],{"href":2909},"\u002Fagent\u002Fdesktop\u002Fopenclaw.html","OpenClaw 工具卡",[38,2912,2913],{},[224,2914,2916],{"href":2915},"\u002Freview\u002Fmanus-deep-review.html","Manus 深度评测",[38,2918,2919],{},[224,2920,2922],{"href":2921},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark 对比",[2924,2925,2926],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":513,"searchDepth":514,"depth":514,"links":2928},[2929,2930,2935,2940,2945,2946,2947,2948],{"id":2254,"depth":517,"text":2254},{"id":2280,"depth":517,"text":2281,"children":2931},[2932,2933,2934],{"id":2285,"depth":514,"text":2286},{"id":2329,"depth":514,"text":2330},{"id":2357,"depth":514,"text":2358},{"id":33,"depth":517,"text":33,"children":2936},[2937,2938,2939],{"id":2454,"depth":514,"text":2454},{"id":2484,"depth":514,"text":2484},{"id":2513,"depth":514,"text":2513},{"id":2533,"depth":517,"text":2533,"children":2941},[2942,2943,2944],{"id":2536,"depth":514,"text":2536},{"id":2631,"depth":514,"text":2631},{"id":2657,"depth":514,"text":2657},{"id":95,"depth":517,"text":95},{"id":2748,"depth":517,"text":2748},{"id":456,"depth":517,"text":457},{"id":484,"depth":517,"text":484},"\u002Fimg\u002Ftools\u002Fhermes-agent.webp","Hermes Agent 真实评测：Nous Research 出品的开源自进化 AI Agent，2026 年 2 月开源即获 10 万 GitHub Star。MoA 混合智能体架构、记忆系统、技能自动创建、跨平台部署（Telegram\u002FDiscord\u002FSlack\u002FWhatsApp\u002FCLI）。本文整理核心能力、使用体验、与 Manus\u002FOpenClaw 对比、适用场景。","https:\u002F\u002Fgithub.com\u002FNousResearch\u002Fhermes-agent",[534],{},[2955,2956,2957,2958],"hermes-4-405b","hermes-4-70b","claude-sonnet-4","gpt-5",[2960,2961,2962,2963],"需要中文为主交互的玩家（文档和界面均为英文）","不想折腾部署和配置的个人用户","需要生产级稳定性（项目仍在快速迭代）","预算有限且没有 GPU 服务器的用户","\u002Ftools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[1099,1097,1098],[2967,2972],{"plan":2968,"price":125,"limit":2969,"cn_pay":2970,"note":2971},"开源版","完整功能，自托管","—","BYOK 模式",{"plan":2973,"price":2974,"limit":2975,"cn_pay":2976,"note":2977},"API（Hermes 4）","按 token 计费","405B 模型按量付费","⚠️ 需海外卡","不想自托管时","免费（开源，BYOK）","2026-07-04",[2981],"openhuman-deep-review",{"power":547,"ux":514,"price":548,"cn_support":517,"stability":514},{"title":2243,"description":2950},"Hermes Agent 评测 2026：Nous Research 开源自进化 AI Agent，10 万 Star","agent\u002Fgeneral\u002Fhermes-agent",[2987,2989,2992,2995,2998],{"title":2988,"url":2951},"Hermes Agent GitHub",{"title":2990,"url":2991},"Nous Research 官网","https:\u002F\u002Fnousresearch.com",{"title":2993,"url":2994},"Hermes Agent 安装教程","https:\u002F\u002Fblog.csdn.net\u002Fyweng18\u002Farticle\u002Fdetails\u002F161148047",{"title":2996,"url":2997},"Hermes MoA 体验报告","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7657411078791365171\u002F",{"title":2999,"url":3000},"Hermes vs OpenCode 对比","https:\u002F\u002Fm.toutiao.com\u002Fgroup\u002F7645892543409816064\u002F","tools\u002Fagent\u002Fgeneral\u002Fhermes-agent",[3003,3004,3005,3006,3007],"需要自托管、数据完全自主的 AI Agent","对 Agent 自我进化 \u002F 记忆系统有研究兴趣","需要跨平台部署（Telegram \u002F Discord \u002F Slack 等多通道）","有 GPU 服务器可以跑 Hermes 4 模型","想要一个长期陪伴型个人 Agent","Nous Research 开源自进化 AI Agent，10 万 Star，MoA 混合智能体",[557,3010,3011,3012,3013,3014,3015],"autonomous","opensource","self-evolving","memory","nous-research","moa","2026 最火开源 Agent。MoA 混合智能体+自我进化+记忆系统+跨平台部署，GitHub 10 万 Star。适合长期陪伴型任务和自托管 Agent 研究，但中文支持和文档偏弱。","3gxu2kQEY9RgT_Ir0N2dPCaoLfjN4jFfYElq7IKZGhA",{"id":3019,"title":2761,"alternatives":3020,"api_compatible":3023,"body":3024,"category":528,"chinese_friendly":547,"cover":3918,"description":3919,"domestic":531,"extension":532,"faq":15,"free":531,"github":15,"languages":3920,"lastVerified":15,"meta":3921,"models":3922,"navigation":537,"notSuitable":3926,"opensource":531,"path":3931,"pillar":539,"platforms":3932,"priceTable":3933,"pricing":3947,"published":3948,"relatedPlaybooks":3949,"relatedReviews":3951,"score":3952,"self_host":531,"seo":3953,"seoTitle":3954,"slug":13,"sources":3955,"stem":3971,"suitable":3972,"tagline":3978,"tags":3979,"updated":1123,"verdict":3983,"website":3407,"__hash__":3984},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md",[12,3021,3022],"coding\u002Fagent\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":17,"value":3025,"toc":3898},[3026,3028,3066,3071,3074,3138,3141,3145,3153,3158,3165,3169,3177,3243,3248,3252,3259,3263,3271,3276,3293,3296,3299,3302,3309,3312,3318,3373,3379,3385,3390,3396,3400,3443,3446,3485,3488,3657,3662,3679,3684,3704,3707,3773,3775,3778,3795,3798,3819,3821,3871,3873,3890],[20,3027,23],{"id":22},[3029,3030,3035,3051],"div",{"className":3031},[3032,3033,3034],"card","p-5","my-4",[25,3036,3037,3040,3041,3044,3045,3050],{},[41,3038,3039],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[41,3042,3043],{},"邀请码一度被炒到 ¥5 万-10 万","（",[224,3046,3049],{"href":3047,"rel":3048},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[228],"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。",[25,3052,3053,3054,3044,3057,3061,3062,3065],{},"2025-12 传被 ",[41,3055,3056],{},"Meta 以约 20-30 亿美元收购",[224,3058,3060],{"href":3047,"rel":3059},[228],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[41,3063,3064],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research","。",[152,3067,3068],{},[25,3069,3070],{},"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。",[20,3072,3073],{"id":3073},"背景与公司",[35,3075,3076,3087,3093,3099,3105,3116,3126,3132],{},[38,3077,3078,3081,3082,3086],{},[41,3079,3080],{},"公司","：Butterfly Effect Pte. Ltd.（",[224,3083,3085],{"href":3047,"rel":3084},[228],"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）",[38,3088,3089,3092],{},[41,3090,3091],{},"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）",[38,3094,3095,3098],{},[41,3096,3097],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[38,3100,3101,3104],{},[41,3102,3103],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[38,3106,3107,3110,3111,3115],{},[41,3108,3109],{},"Manus 启动","：2024-10 立项，灵感来自 ",[224,3112,3114],{"href":3113},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[38,3117,3118,3121,3122],{},[41,3119,3120],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[224,3123,3125],{"href":3047,"rel":3124},[228],"Demo 视频 20 小时百万播放",[38,3127,3128,3131],{},[41,3129,3130],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[38,3133,3134,3137],{},[41,3135,3136],{},"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",[20,3139,3140],{"id":3140},"核心特性",[2283,3142,3144],{"id":3143},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[25,3146,3147,3152],{},[224,3148,3151],{"href":3149,"rel":3150},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[228],"Pick Right 2026-04 评测"," 描述的架构：",[152,3154,3155],{},[25,3156,3157],{},"\"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.\"",[25,3159,3160,3161,3164],{},"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 ",[41,3162,3163],{},"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。",[2283,3166,3168],{"id":3167},"通用-agent-模式","通用 Agent 模式",[25,3170,3171,3176],{},[224,3172,3175],{"href":3173,"rel":3174},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[228],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[97,3178,3179,3189],{},[100,3180,3181],{},[103,3182,3183,3186],{},[106,3184,3185],{},"模型",[106,3187,3188],{},"GAIA 准确率",[115,3190,3191,3203,3211,3219,3227,3235],{},[103,3192,3193,3198],{},[120,3194,3195],{},[41,3196,3197],{},"Manus AI",[120,3199,3200],{},[41,3201,3202],{},">65%（SOTA）",[103,3204,3205,3208],{},[120,3206,3207],{},"H2O.ai (h2oGPTe)",[120,3209,3210],{},"65%",[103,3212,3213,3216],{},[120,3214,3215],{},"Google Langfun",[120,3217,3218],{},"49%",[103,3220,3221,3224],{},[120,3222,3223],{},"Microsoft o1",[120,3225,3226],{},"38%",[103,3228,3229,3232],{},[120,3230,3231],{},"OpenAI GPT-4o",[120,3233,3234],{},"32%",[103,3236,3237,3240],{},[120,3238,3239],{},"OpenAI GPT-4 + Plugins",[120,3241,3242],{},"15-30%",[152,3244,3245],{},[25,3246,3247],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[2283,3249,3251],{"id":3250},"后台执行-长任务","后台执行 + 长任务",[25,3253,3254,3255,3258],{},"最特别的体验：任务下达后",[41,3256,3257],{},"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。",[2283,3260,3262],{"id":3261},"web-app-builder","Web App Builder",[25,3264,3265,3266,3270],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[224,3267,3269],{"href":3149,"rel":3268},[228],"Pick Right 评测"," 直白警告：",[152,3272,3273],{},[25,3274,3275],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[25,3277,3278,3279,3283,3284,3283,3288,3292],{},"复杂场景下出 bug 多，目前不建议生产部署，",[224,3280,3282],{"href":3281},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[224,3285,3287],{"href":3286},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[224,3289,3291],{"href":3290},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[2283,3294,3295],{"id":3295},"桌面应用",[25,3297,3298],{},"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。",[2283,3300,3301],{"id":3301},"多模型路由",[25,3303,3304,3305,3308],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[41,3306,3307],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[20,3310,3311],{"id":3311},"价格与运行成本",[25,3313,3314,3317],{},[224,3315,3269],{"href":3149,"rel":3316},[228]," 公开档位：",[97,3319,3320,3332],{},[100,3321,3322],{},[103,3323,3324,3327,3329],{},[106,3325,3326],{},"档位",[106,3328,95],{},[106,3330,3331],{},"关键点",[115,3333,3334,3343,3352,3362],{},[103,3335,3336,3338,3340],{},[120,3337,122],{},[120,3339,125],{},[120,3341,3342],{},"每日有限 credits，够 1 个高强度任务\u002F天",[103,3344,3345,3347,3349],{},[120,3346,133],{},[120,3348,136],{},[120,3350,3351],{},"大多数付费用户落点；中等 credit + 多模型",[103,3353,3354,3356,3359],{},[120,3355,1787],{},[120,3357,3358],{},"$50\u002F月",[120,3360,3361],{},"更高 credit + 优先队列，10+ 任务\u002F周",[103,3363,3364,3367,3370],{},[120,3365,3366],{},"Pro+ \u002F Team",[120,3368,3369],{},"最高 $200\u002F月",[120,3371,3372],{},"最大 credit + 团队空间（功能仍有限）",[25,3374,3375,3378],{},[41,3376,3377],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[25,3380,3381,2293],{},[224,3382,3384],{"href":3149,"rel":3383},[228],"Pick Right 真实使用反馈",[152,3386,3387],{},[25,3388,3389],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[25,3391,3392,3395],{},[41,3393,3394],{},"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。",[20,3397,3399],{"id":3398},"上手-5-分钟","上手 5 分钟",[218,3401,3402,3410,3413,3428,3431,3437,3440],{},[38,3403,3404,3405],{},"打开 ",[224,3406,3409],{"href":3407,"rel":3408},"https:\u002F\u002Fmanus.im",[228],"manus.im",[38,3411,3412],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[38,3414,3415,3416,3419,3420],{},"给一个完整任务描述（",[41,3417,3418],{},"关键","：不要碎片化指令，给全场景）\n",[2538,3421,3426],{"className":3422,"code":3424,"language":3425},[3423],"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",[2544,3427,3424],{"__ignoreMap":513},[38,3429,3430],{},"选模型路由（Auto 推荐）",[38,3432,3433,3434,3436],{},"提交后",[41,3435,3257],{},"——任务在云端跑",[38,3438,3439],{},"完成后邮件 \u002F 站内通知",[38,3441,3442],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[20,3444,3445],{"id":3445},"国内使用注意事项",[218,3447,3448,3458,3464,3470],{},[38,3449,3450,2293,3453,3457],{},[41,3451,3452],{},"大陆访问被屏蔽",[224,3454,3456],{"href":3047,"rel":3455},[228],"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",[38,3459,3460,3463],{},[41,3461,3462],{},"访问需稳定代理","：日韩 \u002F 美国节点",[38,3465,3466,3469],{},[41,3467,3468],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[38,3471,3472,3475,3476,3479,3480,3484],{},[41,3473,3474],{},"替代路径","：国内可考虑 ",[224,3477,262],{"href":3478},"\u002Fagent\u002Fgeneral\u002Fgenspark.html"," \u002F Devv \u002F ",[224,3481,3483],{"href":3482},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[20,3486,3487],{"id":3487},"与同类怎么选",[97,3489,3490,3514],{},[100,3491,3492],{},[103,3493,3494,3496,3498,3504,3508,3511],{},[106,3495,257],{},[106,3497,2761],{},[106,3499,3500],{},[224,3501,3503],{"href":3502},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[106,3505,3506],{},[224,3507,262],{"href":3478},[106,3509,3510],{},"ChatGPT Deep Research",[106,3512,3513],{},"GenAgent",[115,3515,3516,3535,3554,3571,3586,3602,3619,3637],{},[103,3517,3518,3521,3524,3527,3530,3533],{},[120,3519,3520],{},"核心定位",[120,3522,3523],{},"通用 Agent",[120,3525,3526],{},"AI 程序员",[120,3528,3529],{},"AI 搜索 + Agent",[120,3531,3532],{},"LLM Deep Research",[120,3534,1464],{},[103,3536,3537,3540,3543,3546,3549,3552],{},[120,3538,3539],{},"架构",[120,3541,3542],{},"多 sub-agent 并行",[120,3544,3545],{},"单 Agent + 沙盒",[120,3547,3548],{},"多模型",[120,3550,3551],{},"单模型",[120,3553,2970],{},[103,3555,3556,3559,3562,3565,3567,3569],{},[120,3557,3558],{},"长任务",[120,3560,3561],{},"★★★★★ 小时级",[120,3563,3564],{},"★★★★★",[120,3566,2830],{},[120,3568,2824],{},[120,3570,2830],{},[103,3572,3573,3576,3578,3580,3582,3584],{},[120,3574,3575],{},"引用密度",[120,3577,3564],{},[120,3579,2830],{},[120,3581,2824],{},[120,3583,2830],{},[120,3585,2830],{},[103,3587,3588,3591,3594,3596,3598,3600],{},[120,3589,3590],{},"App Builder",[120,3592,3593],{},"⚠️ 有但 buggy",[120,3595,299],{},[120,3597,299],{},[120,3599,299],{},[120,3601,299],{},[103,3603,3604,3607,3610,3613,3615,3617],{},[120,3605,3606],{},"中文",[120,3608,3609],{},"⚠️ 大陆屏蔽",[120,3611,3612],{},"⚠️",[120,3614,3564],{},[120,3616,3612],{},[120,3618,2824],{},[103,3620,3621,3623,3626,3629,3632,3635],{},[120,3622,95],{},[120,3624,3625],{},"$20-$200",[120,3627,3628],{},"$500\u002F月",[120,3630,3631],{},"$24.99\u002F月",[120,3633,3634],{},"随 ChatGPT Plus",[120,3636,2970],{},[103,3638,3639,3642,3645,3648,3651,3654],{},[120,3640,3641],{},"适合场景",[120,3643,3644],{},"research \u002F 数据分析",[120,3646,3647],{},"写代码 \u002F 修 bug",[120,3649,3650],{},"信息检索",[120,3652,3653],{},"单次深度研究",[120,3655,3656],{},"综合",[25,3658,3659,2293],{},[41,3660,3661],{},"选 Manus 如果你",[35,3663,3664,3670,3673,3676],{},[38,3665,3666,3667],{},"重视 research \u002F 数据分析任务的 ",[41,3668,3669],{},"引用密度和结构化输出",[38,3671,3672],{},"想试\"开任务下班、明早看结果\"的工作流",[38,3674,3675],{},"海外 \u002F 能解决账号网络问题",[38,3677,3678],{},"预算 $20-$50\u002F月，重度用户",[25,3680,3681,2293],{},[41,3682,3683],{},"别选 Manus 如果你",[35,3685,3686,3695,3698,3701],{},[38,3687,3688,3689,3283,3691,3694],{},"国内裸用（",[224,3690,262],{"href":3478},[224,3692,3693],{"href":3482},"Yuanbao"," 更顺）",[38,3696,3697],{},"想生产部署 App（Web App Builder bug 多）",[38,3699,3700],{},"团队协作场景（功能不完善）",[38,3702,3703],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[20,3705,3706],{"id":3706},"避坑清单",[35,3708,3709,3715,3725,3731,3737,3749,3755,3761],{},[38,3710,3711,3714],{},[41,3712,3713],{},"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",[38,3716,3717,2293,3720,3724],{},[41,3718,3719],{},"credit 烧得比官方页面暗示的快",[224,3721,3723],{"href":3149,"rel":3722},[228],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[38,3726,3727,3730],{},[41,3728,3729],{},"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",[38,3732,3733,3736],{},[41,3734,3735],{},"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",[38,3738,3739,3742,3743,3748],{},[41,3740,3741],{},"每次任务从零开始","：没有持久 workspace，不像 ",[224,3744,3747],{"href":3745,"rel":3746},"https:\u002F\u002Fclaude.com",[228],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[38,3750,3751,3754],{},[41,3752,3753],{},"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",[38,3756,3757,3760],{},[41,3758,3759],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[38,3762,3763,3766,3767,3772],{},[41,3764,3765],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[224,3768,3771],{"href":3769,"rel":3770},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[228],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[20,3774,424],{"id":423},[25,3776,3777],{},"✅ 适合：",[35,3779,3780,3783,3786,3789,3792],{},[38,3781,3782],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[38,3784,3785],{},"CSV \u002F Excel 重的数据分析任务",[38,3787,3788],{},"长任务 + 不想盯着看（小时级）",[38,3790,3791],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[38,3793,3794],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[25,3796,3797],{},"❌ 不适合：",[35,3799,3800,3803,3806,3809,3812],{},[38,3801,3802],{},"生产级应用部署",[38,3804,3805],{},"团队协作工作流",[38,3807,3808],{},"预算极敏感（free 档非常受限）",[38,3810,3811],{},"大陆稳定访问需求",[38,3813,3814,3815,3818],{},"需要深度持久上下文（用 ",[224,3816,3747],{"href":3745,"rel":3817},[228]," \u002F ChatGPT Custom GPT 等）",[20,3820,484],{"id":484},[35,3822,3823,3834,3845,3860],{},[38,3824,3825,3826,3283,3828,3830,3831,3833],{},"同类对比：",[224,3827,3503],{"href":3502},[224,3829,262],{"href":3478}," \u002F Elicit \u002F ",[224,3832,3693],{"href":3482}," \u002F Metaso",[38,3835,3836,3837,3283,3841,3844],{},"概念：",[224,3838,3840],{"href":3839},"\u002Fwiki\u002Fai-agent.html","AI Agent",[224,3842,3843],{"href":3839},"Multi-Agent"," \u002F Computer Use \u002F Deep Research",[38,3846,3847,3848,3283,3852,3283,3856],{},"模型：",[224,3849,3851],{"href":3850},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[224,3853,3855],{"href":3854},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[224,3857,3859],{"href":3858},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[38,3861,3862,3863,3283,3867],{},"进阶：",[224,3864,3866],{"href":3865},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[224,3868,3870],{"href":3869},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[20,3872,498],{"id":498},[35,3874,3875,3881,3884,3887],{},[38,3876,3877,3878],{},"官网：",[224,3879,3407],{"href":3407,"rel":3880},[228],[38,3882,3883],{},"Wikipedia：\"Manus (AI agent)\" 条目",[38,3885,3886],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[38,3888,3889],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[25,3891,3892,3893,3897],{},"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 ",[224,3894,3896],{"href":3895},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":513,"searchDepth":514,"depth":514,"links":3899},[3900,3901,3902,3910,3911,3912,3913,3914,3915,3916,3917],{"id":22,"depth":517,"text":23},{"id":3073,"depth":517,"text":3073},{"id":3140,"depth":517,"text":3140,"children":3903},[3904,3905,3906,3907,3908,3909],{"id":3143,"depth":514,"text":3144},{"id":3167,"depth":514,"text":3168},{"id":3250,"depth":514,"text":3251},{"id":3261,"depth":514,"text":3262},{"id":3295,"depth":514,"text":3295},{"id":3301,"depth":514,"text":3301},{"id":3311,"depth":517,"text":3311},{"id":3398,"depth":517,"text":3399},{"id":3445,"depth":517,"text":3445},{"id":3487,"depth":517,"text":3487},{"id":3706,"depth":517,"text":3706},{"id":423,"depth":517,"text":424},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"\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。",[1638,534],{},[2957,3923,3924,3925],"claude-opus-4","qwen-max","manus-internal",[3927,3928,3929,3930],"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",[541,1098,1097,1099],[3934,3937,3940,3943],{"plan":122,"price":125,"limit":3935,"cn_pay":2970,"note":3936},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":133,"price":136,"limit":3938,"cn_pay":2976,"note":3939},"更高 credit + 更长任务时长 + 多模型路由","个人主力档",{"plan":1787,"price":3358,"limit":3941,"cn_pay":3612,"note":3942},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":3944,"price":2023,"limit":3945,"cn_pay":3612,"note":3946},"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",[3950],"onboarding\u002Fmanus-getting-started",[1663,2216,2217],{"power":548,"ux":548,"price":514,"cn_support":547,"stability":514},{"title":2761,"description":3919},"Manus AI Agent 评测 2026：通用 AI 智能体，自主完成任务，对比 Devin",[3956,3958,3961,3963,3965,3968],{"title":3957,"url":3407},"Manus 官网",{"title":3959,"url":3960},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":3962,"url":3149},"Manus AI Review 2026 (Pick Right)",{"title":3964,"url":3173},"Info-Tech Manus Assessment",{"title":3966,"url":3967},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":3969,"url":3970},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[3973,3974,3975,3976,3977],"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",[557,3010,3980,2234,3981,3982],"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。","D_3USoIRX1i-tNsMzyFhKfWICosFY8LK0cepfSlF8_U",{"id":3986,"title":3987,"alternatives":3988,"api_compatible":15,"body":3992,"category":528,"chinese_friendly":514,"cover":4511,"description":4512,"domestic":531,"extension":532,"faq":4513,"free":531,"github":15,"languages":4525,"lastVerified":15,"meta":4526,"models":15,"navigation":537,"notSuitable":15,"opensource":531,"path":4527,"pillar":539,"platforms":4528,"priceTable":4529,"pricing":4545,"published":1114,"relatedPlaybooks":4546,"relatedReviews":15,"score":4548,"self_host":537,"seo":4549,"seoTitle":4550,"slug":4551,"sources":4552,"stem":4561,"suitable":15,"tagline":4562,"tags":4563,"updated":1123,"verdict":4566,"website":4567,"__hash__":4568},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty.md","Msty",[3989,3990,3991],"coding\u002Flocal\u002Follama","coding\u002Flocal\u002Flm-studio","coding\u002Flocal\u002Fopen-webui",{"type":17,"value":3993,"toc":4499},[3994,3996,3999,4002,4004,4078,4080,4105,4110,4114,4118,4144,4148,4174,4176,4199,4201,4360,4362,4417,4419,4445,4447,4467,4469],[20,3995,23],{"id":22},[25,3997,3998],{},"Msty 是 privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器，独立开发者出品。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎，无需 CLI + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体并存 + Split Chats 同问题多模型并行 + Knowledge Stack（per-conversation RAG）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地无限 \u002F Aurum $149·年 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[25,4000,4001],{},"适合：隐私敏感 + 不愿数据上云；Mac mini \u002F Linux box 当私人 AI 服务器；想避开 Ollama CLI 的非工程师；多模型对比决策场景。不适合：硬件不行（7B+ 本地跑不动）；要 BYO API + 极简（用 Typing Mind）；要 mobile（无 iOS \u002F Android 移动 app）；团队协作（更适合 Claude Team）。",[20,4003,33],{"id":33},[35,4005,4006,4012,4018,4024,4030,4036,4042,4048,4054,4060,4066,4072],{},[38,4007,4008,4011],{},[41,4009,4010],{},"三引擎本地推理","：MLX（Apple）\u002F llama.cpp \u002F Ollama 开箱即用",[38,4013,4014,4017],{},[41,4015,4016],{},"Hosted Models","：OpenAI \u002F Anthropic \u002F Gemini 一窗体接入",[38,4019,4020,4023],{},[41,4021,4022],{},"Split Chats","：同问题同时跑多模型 + side-by-side 对比",[38,4025,4026,4029],{},[41,4027,4028],{},"Knowledge Stack","：per-conversation RAG，文档 \u002F URL \u002F Obsidian vault \u002F YouTube transcript",[38,4031,4032,4035],{},[41,4033,4034],{},"Prompt Studio","：变量 + 模板 + 测试",[38,4037,4038,4041],{},[41,4039,4040],{},"Persona Studio","：自定义角色 + 工具 + context",[38,4043,4044,4047],{},[41,4045,4046],{},"Skills Studio","：可复用能力包",[38,4049,4050,4053],{},[41,4051,4052],{},"Agent Mode","：多步执行 + 工具调用",[38,4055,4056,4059],{},[41,4057,4058],{},"Flowchart 对话","：分支可视化",[38,4061,4062,4065],{},[41,4063,4064],{},"Real-time 数据","：实时 web fetch",[38,4067,4068,4071],{},[41,4069,4070],{},"Offline-first","：零账号 \u002F 零 telemetry \u002F 零云依赖（Free）",[38,4073,4074,4077],{},[41,4075,4076],{},"Cloud Sync","（Aurum）：跨设备同步对话",[20,4079,95],{"id":95},[35,4081,4082,4087,4093,4099],{},[38,4083,4084,4086],{},[41,4085,122],{},"：$0 永久；本地全功能 + 云 API 接入 + Split Chats + Knowledge Stack",[38,4088,4089,4092],{},[41,4090,4091],{},"Aurum","：$149\u002F年；cloud sync + 高级 Knowledge + Studio Desktop alpha + 优先支持",[38,4094,4095,4098],{},[41,4096,4097],{},"Lifetime","：$349 一次；Aurum 全部功能 + 终身更新",[38,4100,4101,4104],{},[41,4102,4103],{},"Enterprise","：$300\u002Fuser·年；SSO + 私有部署 + 团队管理",[152,4106,4107],{},[25,4108,4109],{},"Lifetime 在 2 年用回本，重度用户首选。Free 已经足够个人 90% 场景。",[20,4111,4113],{"id":4112},"实测macos-mac-mini-私人-ai-服务器","实测（macOS + Mac mini 私人 AI 服务器）",[25,4115,4116],{},[41,4117,168],{},[35,4119,4120,4123,4126,4129,4132,4135,4138,4141],{},[38,4121,4122],{},"装完立刻能用，无需 Ollama \u002F llama.cpp \u002F MLX 任何 CLI",[38,4124,4125],{},"Split Chats 对比 GPT-5 + Claude + Qwen2.5 + Llama 3.3 一目了然",[38,4127,4128],{},"Knowledge Stack 的 per-conversation 设计完美：每项目独立 RAG context",[38,4130,4131],{},"Prompt \u002F Persona \u002F Skills 三 Studio 解决重复 prompt 痛点",[38,4133,4134],{},"MLX 在 M1\u002FM2\u002FM3\u002FM4 上跑得快",[38,4136,4137],{},"中文 Qwen2.5 \u002F DeepSeek 走本地路径无外网依赖",[38,4139,4140],{},"Free 永久免费 + 本地无限 = 真正 zero-cost 路径",[38,4142,4143],{},"Lifetime $349 比 ChatGPT Plus 18 个月便宜",[25,4145,4146],{},[41,4147,193],{},[35,4149,4150,4153,4156,4159,4162,4165,4168,4171],{},[38,4151,4152],{},"本地性能受硬件限制：M1 Air 跑 7B 慢，M3 Max \u002F Mac Studio \u002F 高端 GPU 更适合",[38,4154,4155],{},"插件 \u002F Skill 生态比 Typing Mind \u002F LM Studio 弱",[38,4157,4158],{},"桌面 only，无 iOS \u002F Android",[38,4160,4161],{},"llama.cpp 更新滞后官方上游 1-2 版本",[38,4163,4164],{},"Knowledge Stack 大文档（>100MB）切分偶尔失败",[38,4166,4167],{},"Agent Mode 仍在打磨，复杂任务稳定性不如 Claude",[38,4169,4170],{},"Studio Desktop（Aurum alpha）测试中，bug 偶发",[38,4172,4173],{},"中文 UI 不完整，部分功能仍是英文",[20,4175,216],{"id":216},[218,4177,4178,4181,4184,4187,4190,4193,4196],{},[38,4179,4180],{},"msty.ai → 下载 macOS \u002F Windows \u002F Linux → 安装",[38,4182,4183],{},"Settings → Model Providers → Ollama 连本地（或直接装 Msty 自带 llama.cpp \u002F MLX）",[38,4185,4186],{},"装 1-2 个本地模型：Qwen2.5 7B（中文）+ Llama 3.3 8B（英文）",[38,4188,4189],{},"加云模型：OpenAI Key + Anthropic Key",[38,4191,4192],{},"新建 chat → 试 Split Chats：+ 第二个模型 → 同问题并行",[38,4194,4195],{},"Knowledge Stack → 上传项目文档 → 附加到 conversation",[38,4197,4198],{},"满意后 Free 用着，重度需要同步上 Lifetime $349",[20,4200,248],{"id":248},[97,4202,4203,4220],{},[100,4204,4205],{},[103,4206,4207,4209,4211,4214,4217],{},[106,4208,257],{},[106,4210,3987],{},[106,4212,4213],{},"Ollama",[106,4215,4216],{},"LM Studio",[106,4218,4219],{},"Jan",[115,4221,4222,4237,4252,4265,4277,4290,4304,4318,4330,4344],{},[103,4223,4224,4227,4230,4233,4235],{},[120,4225,4226],{},"GUI",[120,4228,4229],{},"✅ 颜值高",[120,4231,4232],{},"❌ CLI",[120,4234,377],{},[120,4236,377],{},[103,4238,4239,4242,4245,4247,4250],{},[120,4240,4241],{},"本地引擎",[120,4243,4244],{},"MLX\u002Fllama.cpp\u002FOllama",[120,4246,4213],{},[120,4248,4249],{},"llama.cpp",[120,4251,4249],{},[103,4253,4254,4257,4259,4261,4263],{},[120,4255,4256],{},"云模型",[120,4258,377],{},[120,4260,299],{},[120,4262,299],{},[120,4264,860],{},[103,4266,4267,4269,4271,4273,4275],{},[120,4268,4022],{},[120,4270,863],{},[120,4272,299],{},[120,4274,860],{},[120,4276,875],{},[103,4278,4279,4281,4284,4286,4288],{},[120,4280,4028],{},[120,4282,4283],{},"✅ per-conv",[120,4285,299],{},[120,4287,299],{},[120,4289,860],{},[103,4291,4292,4295,4298,4300,4302],{},[120,4293,4294],{},"Studios",[120,4296,4297],{},"✅ Prompt\u002FPersona\u002FSkills",[120,4299,875],{},[120,4301,875],{},[120,4303,875],{},[103,4305,4306,4308,4310,4313,4315],{},[120,4307,2771],{},[120,4309,299],{},[120,4311,4312],{},"✅ MIT",[120,4314,299],{},[120,4316,4317],{},"✅ Apache 2.0",[103,4319,4320,4322,4324,4326,4328],{},[120,4321,1441],{},[120,4323,125],{},[120,4325,125],{},[120,4327,125],{},[120,4329,125],{},[103,4331,4332,4335,4338,4340,4342],{},[120,4333,4334],{},"终身",[120,4336,4337],{},"$349",[120,4339,875],{},[120,4341,875],{},[120,4343,875],{},[103,4345,4346,4348,4351,4354,4357],{},[120,4347,913],{},[120,4349,4350],{},"桌面颜值 + 多模型",[120,4352,4353],{},"CLI \u002F Server",[120,4355,4356],{},"模型市场",[120,4358,4359],{},"严格开源",[20,4361,382],{"id":382},[35,4363,4364,4370,4376,4382,4388,4394,4400,4406,4412],{},[38,4365,4366,4369],{},[41,4367,4368],{},"硬件评估","：M1 Air 8GB 只跑 3B-7B，M3 Pro \u002F Max 跑 13B-30B 流畅",[38,4371,4372,4375],{},[41,4373,4374],{},"Ollama 已装就连","：避免重复下模型，连本地 Ollama 复用 model library",[38,4377,4378,4381],{},[41,4379,4380],{},"Knowledge Stack 文档","：单文档 \u003C50MB 最稳，大文件先切分",[38,4383,4384,4387],{},[41,4385,4386],{},"Persona vs Skill","：Persona 是角色（完整 system + 模型）；Skill 是能力包；不要混用",[38,4389,4390,4393],{},[41,4391,4392],{},"Split Chats 三个模型够","：4 个起每问 token 烧得快",[38,4395,4396,4399],{},[41,4397,4398],{},"Aurum cloud sync 谨慎","：隐私敏感场景仍用 Free 本地",[38,4401,4402,4405],{},[41,4403,4404],{},"Studio Desktop alpha","：稳定性不如 main 版本，重要工作不要全押",[38,4407,4408,4411],{},[41,4409,4410],{},"本地中文模型","：Qwen2.5 7B \u002F DeepSeek 7B 中文最优，Llama 3.3 8B 英文最优",[38,4413,4414,4416],{},[41,4415,982],{},"：当前不如 Claude Desktop 强，要 MCP 重度场景考虑 Claude Desktop \u002F Crush",[20,4418,424],{"id":423},[35,4420,4421,4424,4427,4430,4433,4436,4439,4442],{},[38,4422,4423],{},"✅ 隐私敏感 + 数据零云",[38,4425,4426],{},"✅ Mac mini \u002F Linux box 私人 AI 服务器",[38,4428,4429],{},"✅ 不愿学 Ollama CLI 的非工程师",[38,4431,4432],{},"✅ 多模型对比决策场景",[38,4434,4435],{},"❌ 硬件不行（8GB RAM）跑不动 7B+",[38,4437,4438],{},"❌ 要 mobile 移动主力",[38,4440,4441],{},"❌ 团队协作 + 共享 workspace",[38,4443,4444],{},"❌ 要 MCP 工具栈深度（用 Claude Desktop \u002F Crush）",[20,4446,484],{"id":484},[35,4448,4449,4455,4461],{},[38,4450,4451],{},[224,4452,4454],{"href":4453},"\u002Ftools\u002Fcoding\u002Flocal\u002Follama","Ollama 评测",[38,4456,4457],{},[224,4458,4460],{"href":4459},"\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio","LM Studio 评测",[38,4462,4463],{},[224,4464,4466],{"href":4465},"\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui","Open WebUI 评测",[20,4468,498],{"id":498},[218,4470,4471,4478,4485,4492],{},[38,4472,4473,4474],{},"Msty 官网 + Features（MLX \u002F llama.cpp \u002F Ollama \u002F Studios）",[224,4475,4476],{"href":4476,"rel":4477},"https:\u002F\u002Fmsty.ai\u002Fstudio\u002Ffeatures",[228],[38,4479,4480,4481],{},"AI Chat Daily — Msty Review 2026（4.3\u002F5 评分 + Lifetime）",[224,4482,4483],{"href":4483,"rel":4484},"https:\u002F\u002Fwww.aichatdaily.com\u002Ftools\u002Fmsty",[228],[38,4486,4487,4488],{},"ML Journey — Msty Multi-model Comparison Guide ",[224,4489,4490],{"href":4490,"rel":4491},"https:\u002F\u002Fmljourney.com\u002Fmsty-the-local-llm-app-that-lets-you-compare-models-side-by-side",[228],[38,4493,4494,4495],{},"AISO Tools — Msty Pricing 2026 ",[224,4496,4497],{"href":4497,"rel":4498},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fmsty",[228],{"title":513,"searchDepth":514,"depth":514,"links":4500},[4501,4502,4503,4504,4505,4506,4507,4508,4509,4510],{"id":22,"depth":517,"text":23},{"id":33,"depth":517,"text":33},{"id":95,"depth":517,"text":95},{"id":4112,"depth":517,"text":4113},{"id":216,"depth":517,"text":216},{"id":248,"depth":517,"text":248},{"id":382,"depth":517,"text":382},{"id":423,"depth":517,"text":424},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"\u002Fimg\u002Ftools\u002Fmsty.webp","Msty 真实评测：privacy-first 桌面 AI 工作站，macOS \u002F Windows \u002F Linux 原生 app + 浏览器。差异点：内置 MLX (Apple) \u002F llama.cpp \u002F Ollama 三种本地推理引擎 + Hosted Models（OpenAI \u002F Anthropic \u002F Gemini）一窗体管理 + Split Chats 多模型同时跑同问题 + Knowledge Stack（per-conversation RAG，区别于 AnythingLLM workspace）+ Prompt \u002F Persona \u002F Skills 三个 Studios + Agent Mode 多步执行。Free 本地全功能 \u002F Aurum $5-149 \u002F Lifetime $349 \u002F Enterprise $300\u002Fuser·年。",[4514,4517,4520,4523],{"q":4515,"a":4516},"和 Ollama \u002F LM Studio \u002F Jan \u002F AnythingLLM 怎么选？","Msty 强在『多模型 split chat 对比 + Knowledge Stack 灵活 per-conversation + UI 颜值』。Ollama 是 CLI + server，无 GUI 适合开发者。LM Studio 强在『模型市场 + 性能 profiling』。Jan 开源 + Apache 2.0 协议自由度高。AnythingLLM 强在 workspace + RAG agent。要桌面颜值 + 多模型对比 + 简单 RAG → Msty；要 CLI \u002F server → Ollama；要模型市场 → LM Studio；要严格开源 → Jan。",{"q":4518,"a":4519},"Knowledge Stack 怎么用？","上传文档 \u002F URL \u002F 文本到 Knowledge collection，per-conversation 附加。和 AnythingLLM 的 workspace 区别：Msty 是 conversation 级，每对话独立 context，不会跨对话泄露。多项目并行场景非常顺。Aurum 解锁更大 \u002F 更高级 Knowledge。",{"q":4521,"a":4522},"Split Chats 真的实用吗？","对，多模型决策场景非常有用：决定哪个模型适合任务（同问题看 GPT-5 \u002F Claude \u002F Llama 3 输出）；本地 vs 云模型质量评估；事实问题模型分歧检测（多个模型给同样答案 = 更可信）。日常使用确实降低选错模型成本。",{"q":1091,"a":4524},"本地模式完全离线可用（Ollama \u002F llama.cpp \u002F MLX 本地模型 + Qwen \u002F DeepSeek 中文模型）。云模式接 OpenAI \u002F Anthropic 需要海外网络 + 卡。Aurum 订阅需海外支付。最佳路径：本地 Free + Ollama + Qwen2.5\u002FDeepSeek 中文，零订阅 + 零外网依赖。",[534,1639],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmsty",[1097,1098,1099,541],[4530,4533,4537,4541],{"plan":122,"price":125,"features":4531,"notes":4532},"本地模型 + 云 API 接入 + Split Chats + Knowledge Stack（无限）+ 无账号","永久免费",{"plan":4091,"price":4534,"features":4535,"notes":4536},"$149\u002F年","Free 全部 + cloud sync + 高级 Knowledge + 优先支持 + Studio Desktop alpha","每用户",{"plan":4097,"price":4538,"features":4539,"notes":4540},"$349 一次","Aurum 终身授权","永久 + 所有更新",{"plan":4103,"price":4542,"features":4543,"notes":4544},"$300\u002Fuser·年","SSO + 团队管理 + 私有部署支持","需联系销售","Free 本地无限 \u002F Aurum $149·年（cloud sync）\u002F Lifetime $349 一次买断 \u002F Enterprise $300·user·年",[4547],"onboarding\u002Flocal-ai-workstation",{"power":547,"ux":548,"price":548,"cn_support":514,"stability":547},{"title":3987,"description":4512},"Msty - 本地多模型桌面 AI 评测与指南 | AIHO","agent\u002Fgeneral\u002Fmsty",[4553,4555,4557,4559],{"name":4554,"url":4476,"accessed":1123},"Msty 官网 + Features",{"name":4556,"url":4483,"accessed":1123},"AI Chat Daily — Msty Review 2026 4.3\u002F5",{"name":4558,"url":4490,"accessed":1123},"ML Journey — Msty Local LLM Comparison Guide",{"name":4560,"url":4497,"accessed":1123},"AISO Tools — Msty Pricing 2026","tools\u002Fagent\u002Fgeneral\u002Fmsty","本地优先 + 多模型并行的桌面 AI——Split Chats \u002F Knowledge Stack \u002F Agent Mode 三件套",[4564,1134,1136,1681,4565],"local-first","msty","Ollama \u002F LM Studio 的『精品桌面应用版』——拒绝 CLI + 拒绝云上传 + 多模型同窗对比的最佳选择。Mac mini \u002F Linux 私人 AI 服务器场景神器。要团队协作 + 云同步建议 Claude Team \u002F ChatGPT Team。","https:\u002F\u002Fmsty.ai","-I4bT25C45HIMEZHB6gAX29cwN1Qc25enA9kEJuT9q4",{"id":4570,"title":4571,"alternatives":4572,"api_compatible":15,"body":4574,"category":528,"chinese_friendly":514,"cover":5119,"description":5120,"domestic":531,"extension":532,"faq":5121,"free":531,"github":15,"languages":5137,"lastVerified":15,"meta":5138,"models":15,"navigation":537,"notSuitable":15,"opensource":537,"path":5139,"pillar":539,"platforms":5140,"priceTable":5141,"pricing":5149,"published":5150,"relatedPlaybooks":5151,"relatedReviews":5153,"score":5154,"self_host":537,"seo":5155,"seoTitle":5156,"slug":5157,"sources":5158,"stem":5165,"suitable":15,"tagline":5166,"tags":5167,"updated":5150,"verdict":5173,"website":4807,"__hash__":5174},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman.md","OpenHuman",[2245,2985,4573],"agent\u002Fplatform\u002Fcoze",{"type":17,"value":4575,"toc":5107},[4576,4578,4581,4584,4586,4672,4674,4691,4695,4699,4722,4726,4749,4751,4802,4809,4812,4823,4825,4975,4977,5021,5023,5052,5054,5073,5075,5104],[20,4577,23],{"id":22},[25,4579,4580],{},"OpenHuman 是 TinyHumans 团队 2026-05 推出的开源个人 AI 超级智能助手，7.8k+ GitHub stars。差异点：Rust（Tauri）桌面优先架构 + 118+ 第三方 OAuth 集成 + Memory Tree 长期记忆系统（10 亿 token 容量）+ TokenJuice 智能压缩（省 80% token）+ 智能模型路由 + 桌面吉祥物 + Google Meet 参会 + 语音交互 + Obsidian 知识库兼容。20 分钟自动同步你的数字生活，构建本地私有的个人记忆库。",[25,4582,4583],{},"适合：追求个人 AI 助手真正了解你的知识工作者；Obsidian 用户；跨越多个工具的协作场景；关注数据隐私的用户。不适合：追求极致轻量单功能工具；需要完全离线运行（OAuth 和模型调用需网络）；无法接受 Early Beta 产品的不稳定。",[20,4585,33],{"id":33},[35,4587,4588,4594,4600,4606,4612,4618,4624,4630,4636,4642,4648,4654,4660,4666],{},[38,4589,4590,4593],{},[41,4591,4592],{},"Memory Tree 长期记忆系统","：自动抓取邮件、文档、聊天记录 → 智能评分 → 层级摘要树 → 本地 SQLite 存储 + Obsidian 兼容 .md 文件",[38,4595,4596,4599],{},[41,4597,4598],{},"118+ 第三方 OAuth 集成","：Gmail \u002F Outlook \u002F Notion \u002F GitHub \u002F Slack \u002F Google Calendar \u002F Stripe \u002F Linear \u002F Jira 等",[38,4601,4602,4605],{},[41,4603,4604],{},"TokenJuice 智能压缩","：HTML→Markdown \u002F URL 缩短 \u002F 去重，最高省 80% token",[38,4607,4608,4611],{},[41,4609,4610],{},"智能模型路由","：统一订阅，自动分配推理 \u002F 快速 \u002F 多模态 \u002F 本地模型",[38,4613,4614,4617],{},[41,4615,4616],{},"桌面吉祥物","：有表情、会说话的桌面小伙伴，响应环境变化",[38,4619,4620,4623],{},[41,4621,4622],{},"Google Meet 参会","：以真实参与者身份加入线上会议",[38,4625,4626,4629],{},[41,4627,4628],{},"语音交互","：STT 语音输入 + ElevenLabs TTS 语音输出 + 唇形同步",[38,4631,4632,4635],{},[41,4633,4634],{},"后台持续思考","：即使不主动交互，也在后台分析和整理信息",[38,4637,4638,4641],{},[41,4639,4640],{},"自动同步","：每 20 分钟自动遍历所有活跃连接，拉取最新数据",[38,4643,4644,4647],{},[41,4645,4646],{},"Obsidian 兼容","：记忆以 Markdown 形式存储，可直接用 Obsidian 查看\u002F编辑",[38,4649,4650,4653],{},[41,4651,4652],{},"本地优先","：核心数据存储在本地 SQLite，不上传云端",[38,4655,4656,4659],{},[41,4657,4658],{},"本地加密","：数据在设备端加密存储",[38,4661,4662,4665],{},[41,4663,4664],{},"Ollama 支持","：可运行本地 LLM，敏感任务完全不上云",[38,4667,4668,4671],{},[41,4669,4670],{},"GPL-3.0 开源","：完整源码可审计、可定制",[20,4673,95],{"id":95},[35,4675,4676,4682,4688],{},[38,4677,4678,4681],{},[41,4679,4680],{},"统一订阅","：价格待定（Early Beta）；一价全包所有模型 + 自动路由",[38,4683,4684,4687],{},[41,4685,4686],{},"自托管","：$0；GPL-3.0 协议，需自备 LLM API 或本地 Ollama 模型",[38,4689,4690],{},"自托管一次中等任务 API 费用 $0.02-0.5（取决于模型选择）",[20,4692,4694],{"id":4693},"实测个人-ai-助手场景","实测（个人 AI 助手场景）",[25,4696,4697],{},[41,4698,168],{},[35,4700,4701,4704,4707,4710,4713,4716,4719],{},[38,4702,4703],{},"Memory Tree 让 AI 真正拥有\"长期记忆\"，不是每次对话从零开始",[38,4705,4706],{},"118+ 集成开箱即用，OAuth 一键连接，无需手动配置 API",[38,4708,4709],{},"TokenJuice 压缩效果显著，实测 token 消耗降低 60-80%",[38,4711,4712],{},"桌面 UI 设计精美，吉祥物交互有趣，不是命令行工具",[38,4714,4715],{},"自动同步机制省心，不用手动通知 AI 新信息",[38,4717,4718],{},"Obsidian 兼容让记忆透明可读，用户完全掌控自己的数据",[38,4720,4721],{},"智能模型路由省去手动切换模型的麻烦",[25,4723,4724],{},[41,4725,193],{},[35,4727,4728,4731,4734,4737,4740,4743,4746],{},[38,4729,4730],{},"Early Beta 阶段，功能迭代快，偶尔有 breaking change",[38,4732,4733],{},"中文支持依赖底层模型，部分场景效果不如英文",[38,4735,4736],{},"OAuth 连接器稳定性参差不齐，部分服务偶尔断连",[38,4738,4739],{},"桌面吉祥物 CPU\u002F内存占用不低，低配机器略卡",[38,4741,4742],{},"文档尚在完善中，部分功能缺少详细说明",[38,4744,4745],{},"自动同步频率固定 20 分钟，无法手动触发即时同步",[38,4747,4748],{},"隐私边界需关注：虽然数据本地存储，但 OAuth 连接和模型调用涉及网络",[20,4750,216],{"id":216},[2538,4752,4754],{"className":2540,"code":4753,"language":2542,"meta":513,"style":513},"# macOS \u002F Linux\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh | bash\n\n# Windows (PowerShell)\nirm https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1 | iex\n",[2544,4755,4756,4761,4779,4784,4789],{"__ignoreMap":513},[2547,4757,4758],{"class":2549,"line":2550},[2547,4759,4760],{"class":2600},"# macOS \u002F Linux\n",[2547,4762,4763,4766,4769,4772,4776],{"class":2549,"line":517},[2547,4764,4765],{"class":2553},"curl",[2547,4767,4768],{"class":2566}," -fsSL",[2547,4770,4771],{"class":2557}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.sh",[2547,4773,4775],{"class":4774},"szBVR"," |",[2547,4777,4778],{"class":2553}," bash\n",[2547,4780,4781],{"class":2549,"line":514},[2547,4782,4783],{"emptyLinePlaceholder":537},"\n",[2547,4785,4786],{"class":2549,"line":547},[2547,4787,4788],{"class":2600},"# Windows (PowerShell)\n",[2547,4790,4791,4794,4797,4799],{"class":2549,"line":548},[2547,4792,4793],{"class":2553},"irm",[2547,4795,4796],{"class":2557}," https:\u002F\u002Fraw.githubusercontent.com\u002Ftinyhumansai\u002Fopenhuman\u002Fmain\u002Fscripts\u002Finstall.ps1",[2547,4798,4775],{"class":4774},[2547,4800,4801],{"class":2553}," iex\n",[25,4803,4804,4805],{},"或从官网下载安装包：",[224,4806,4807],{"href":4807,"rel":4808},"https:\u002F\u002Ftinyhumans.ai\u002Fopenhuman",[228],[25,4810,4811],{},"首次启动后：",[218,4813,4814,4817,4820],{},[38,4815,4816],{},"完成 OAuth 授权连接你的邮箱 \u002F 日历 \u002F 文档 \u002F 代码仓库",[38,4818,4819],{},"等待 2-5 分钟初始数据同步（Memory Tree 自动构建）",[38,4821,4822],{},"开始对话——AI 已经知道你的工作背景和习惯",[20,4824,248],{"id":248},[97,4826,4827,4842],{},[100,4828,4829],{},[103,4830,4831,4833,4835,4838,4840],{},[106,4832,257],{},[106,4834,4571],{},[106,4836,4837],{},"Claude Cowork",[106,4839,2764],{},[106,4841,2243],{},[115,4843,4844,4858,4872,4887,4903,4919,4932,4948,4960],{},[103,4845,4846,4848,4850,4853,4856],{},[120,4847,1359],{},[120,4849,3295],{},[120,4851,4852],{},"桌面+CLI",[120,4854,4855],{},"终端",[120,4857,4855],{},[103,4859,4860,4862,4865,4868,4870],{},[120,4861,2771],{},[120,4863,4864],{},"✅ GPL-3.0",[120,4866,4867],{},"❌ 专有",[120,4869,4312],{},[120,4871,4312],{},[103,4873,4874,4876,4879,4882,4885],{},[120,4875,2821],{},[120,4877,4878],{},"✅ UI 优先，几分钟",[120,4880,4881],{},"✅ 桌面",[120,4883,4884],{},"⚠️ 终端",[120,4886,4884],{},[103,4888,4889,4891,4894,4897,4900],{},[120,4890,2794],{},[120,4892,4893],{},"✅ Memory Tree",[120,4895,4896],{},"⚠️ 对话级",[120,4898,4899],{},"⚠️ 依赖插件",[120,4901,4902],{},"✅ 自学习",[103,4904,4905,4908,4911,4914,4917],{},[120,4906,4907],{},"集成数量",[120,4909,4910],{},"118+ OAuth",[120,4912,4913],{},"少",[120,4915,4916],{},"需自建",[120,4918,4916],{},[103,4920,4921,4923,4926,4928,4930],{},[120,4922,4640],{},[120,4924,4925],{},"✅ 20分钟",[120,4927,299],{},[120,4929,299],{},[120,4931,299],{},[103,4933,4934,4937,4940,4943,4946],{},[120,4935,4936],{},"模型路由",[120,4938,4939],{},"✅ 内置智能",[120,4941,4942],{},"❌ 单一",[120,4944,4945],{},"⚠️ 手动",[120,4947,4945],{},[103,4949,4950,4952,4954,4956,4958],{},[120,4951,4616],{},[120,4953,377],{},[120,4955,299],{},[120,4957,299],{},[120,4959,299],{},[103,4961,4962,4965,4967,4970,4973],{},[120,4963,4964],{},"隐私",[120,4966,4652],{},[120,4968,4969],{},"云端",[120,4971,4972],{},"本地",[120,4974,4972],{},[20,4976,382],{"id":382},[35,4978,4979,4985,4991,4997,5003,5009,5015],{},[38,4980,4981,4984],{},[41,4982,4983],{},"Early Beta 不稳定","：功能迭代快，关键工作建议备份记忆数据",[38,4986,4987,4990],{},[41,4988,4989],{},"中文效果","：依赖底层模型，GPT-4o \u002F Claude 中文效果好，本地模型待验证",[38,4992,4993,4996],{},[41,4994,4995],{},"OAuth 断连","：部分服务 token 会过期，需定期检查连接状态",[38,4998,4999,5002],{},[41,5000,5001],{},"TokenJuice 精度","：压缩虽好，处理合同\u002F账单等敏感内容需注意细节丢失",[38,5004,5005,5008],{},[41,5006,5007],{},"资源占用","：桌面吉祥物 + 后台同步建议 8GB+ 内存",[38,5010,5011,5014],{},[41,5012,5013],{},"网络依赖","：OAuth 连接和远程模型调用需要稳定网络",[38,5016,5017,5020],{},[41,5018,5019],{},"隐私边界","：虽然数据本地存储，但 OAuth 连接意味着服务商可知你的连接状态",[20,5022,424],{"id":423},[35,5024,5025,5028,5031,5034,5037,5040,5043,5046,5049],{},[38,5026,5027],{},"✅ 追求个人 AI 助手真正了解你的知识工作者",[38,5029,5030],{},"✅ Obsidian 用户，希望 AI 自动维护知识库",[38,5032,5033],{},"✅ 工作流跨越多个工具（Gmail \u002F Slack \u002F Notion \u002F GitHub）",[38,5035,5036],{},"✅ 关注数据隐私，希望敏感信息保留在本地",[38,5038,5039],{},"✅ 愿意尝试 Early Beta，能接受快速迭代",[38,5041,5042],{},"❌ 追求极致轻量，不需要那么多集成功能",[38,5044,5045],{},"❌ 对隐私要求极高，希望完全离线运行",[38,5047,5048],{},"❌ 无法接受 Beta 产品的粗糙边缘和偶发 bug",[38,5050,5051],{},"❌ 需要中文深度优化（当前英文体验最佳）",[20,5053,484],{"id":484},[35,5055,5056,5061,5067],{},[38,5057,5058],{},[224,5059,5060],{"href":2903},"OpenManus 工具卡：开源版 Manus",[38,5062,5063],{},[224,5064,5066],{"href":5065},"\u002Fagent\u002Fgeneral\u002Fhermes-agent.html","Hermes Agent 工具卡：自学习 AI Agent",[38,5068,5069],{},[224,5070,5072],{"href":5071},"\u002Fagent\u002Fplatform\u002Fcoze.html","Coze 平台评测",[20,5074,498],{"id":498},[218,5076,5077,5084,5090,5097],{},[38,5078,5079,5080],{},"OpenHuman GitHub 主仓库 + TinyHumans 组织 ",[224,5081,5082],{"href":5082,"rel":5083},"https:\u002F\u002Fgithub.com\u002Ftinyhumansai\u002Fopenhuman",[228],[38,5085,5086,5087],{},"OpenHuman 官网 ",[224,5088,4807],{"href":4807,"rel":5089},[228],[38,5091,5092,5093],{},"OpenHuman 文档 ",[224,5094,5095],{"href":5095,"rel":5096},"https:\u002F\u002Ftinyhumans.gitbook.io\u002Fopenhuman",[228],[38,5098,5099,5100],{},"OpenHuman Discord ",[224,5101,5102],{"href":5102,"rel":5103},"https:\u002F\u002Fdiscord.tinyhumans.ai\u002F",[228],[2924,5105,5106],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":513,"searchDepth":514,"depth":514,"links":5108},[5109,5110,5111,5112,5113,5114,5115,5116,5117,5118],{"id":22,"depth":517,"text":23},{"id":33,"depth":517,"text":33},{"id":95,"depth":517,"text":95},{"id":4693,"depth":517,"text":4694},{"id":216,"depth":517,"text":216},{"id":248,"depth":517,"text":248},{"id":382,"depth":517,"text":382},{"id":423,"depth":517,"text":424},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"\u002Fimg\u002Ftools\u002Fopenhuman.svg","OpenHuman 真实评测：TinyHumans 团队 2026-05 开源的个人 AI 超级智能助手，7.8k+ GitHub stars。GPL-3.0 协议 + Rust（Tauri）架构 + 桌面 UI 优先 + 118+ 第三方 OAuth 集成 + Memory Tree 长期记忆系统（10亿 token 容量）+ TokenJuice 智能压缩（省 80% token）+ 智能模型路由 + 桌面吉祥物 + Google Meet 参会 + 语音交互 + Obsidian 知识库兼容。20 分钟自动同步你的邮箱、日历、文档、代码仓库，构建本地私有的个人记忆库。",[5122,5125,5128,5131,5134],{"q":5123,"a":5124},"OpenHuman 和 ChatGPT \u002F Claude 有什么不同？","ChatGPT \u002F Claude 是通用对话 AI，每次对话从零开始，没有你的长期记忆。OpenHuman 通过 Memory Tree 系统持续学习你的邮件、日历、文档、代码仓库，构建一个持续更新的个人记忆库。它知道『你是谁』而非只是『你问了什么』。",{"q":5126,"a":5127},"OpenHuman 的数据安全如何？","核心记忆数据存储在本地 SQLite 数据库，不上传云端。数据在设备端加密存储。可通过 Ollama 运行本地 LLM 实现敏感任务完全离线。但 OAuth 连接和远程模型调用仍涉及网络传输。",{"q":5129,"a":5130},"Memory Tree 是什么？","OpenHuman 的核心记忆系统。所有接入数据（邮件、文档、聊天记录）被转化为 ≤3000 token 的 Markdown 块，经智能评分后折叠成层级摘要树，存入本地 SQLite。同时生成 .md 文件同步到 Obsidian 知识库。记忆容量可达 10 亿 token。",{"q":5132,"a":5133},"TokenJuice 有什么用？","TokenJuice 是 OpenHuman 的智能压缩层，在数据进入 LLM 前进行预处理——HTML 转 Markdown、长 URL 缩短、重复内容去重等，最高可降低 80% 的 token 消耗，大幅降低 API 成本和响应延迟。",{"q":5135,"a":5136},"支持哪些第三方服务？","118+ 第三方 OAuth 集成，涵盖：Gmail \u002F Outlook（邮件）、Notion \u002F Google Docs \u002F Obsidian（文档）、GitHub \u002F GitLab（代码）、Slack \u002F Discord（沟通）、Google Calendar \u002F Outlook Calendar（日历）、Google Drive \u002F Dropbox（存储）、Stripe（支付）、Linear \u002F Jira（项目）等。",[534,1639],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenhuman",[1099,1097,1098],[5142,5146],{"plan":4680,"price":5143,"features":5144,"notes":5145},"待定","全部模型 + 自动路由 + 118+ 集成 + Memory Tree + TokenJuice","Early Beta 定价可能调整",{"plan":4686,"price":125,"features":5147,"notes":5148},"GPL-3.0 协议 + 全部功能 + 可接 Ollama 本地模型","需自备 LLM API","统一订阅制（一价全包，自动模型路由）\u002F 自备 LLM API 可选","2026-07-17",[5152],"onboarding\u002Fpersonal-ai-agent",[2981],{"power":547,"ux":548,"price":547,"cn_support":514,"stability":514},{"title":4571,"description":5120},"OpenHuman 评测 2026：开源个人 AI 超级智能，118+ 集成","agent\u002Fgeneral\u002Fopenhuman",[5159,5161,5163],{"name":5160,"url":5082,"accessed":5150},"OpenHuman GitHub（TinyHumans 组织）",{"name":5162,"url":4807,"accessed":5150},"OpenHuman 官网",{"name":5164,"url":5095,"accessed":5150},"OpenHuman 文档","tools\u002Fagent\u002Fgeneral\u002Fopenhuman","TinyHumans 团队开源个人 AI 超级智能——118+ 集成 \u002F Memory Tree \u002F TokenJuice 压缩 \u002F 桌面优先",[3011,5168,5169,539,5170,5171,5172],"personal-ai","memory-tree","desktop","obsidian","rust","想要一个真正懂你、记得你、能自动学习的个人 AI 助手——OpenHuman 是目前开源社区最完整的选择。Memory Tree + 118+ 集成 + TokenJuice 压缩 + 桌面 UI 设计，让 AI 从『聊天工具』升级为『数字分身』。适合注重隐私、使用多平台工具的知识工作者。Early Beta 阶段，功能迭代快，适合愿意尝鲜的用户。","CDzuNgZoVEQQgM5QE7kbYdstO_Vy3t82cvA7-QSgw3w",{"id":5176,"title":5177,"alternatives":5178,"api_compatible":15,"body":5182,"category":528,"chinese_friendly":547,"cover":5824,"description":5825,"domestic":531,"extension":532,"faq":5826,"free":531,"github":15,"languages":5839,"lastVerified":15,"meta":5840,"models":15,"navigation":537,"notSuitable":15,"opensource":537,"path":5841,"pillar":539,"platforms":5842,"priceTable":5844,"pricing":5848,"published":1114,"relatedPlaybooks":5849,"relatedReviews":5851,"score":5852,"self_host":537,"seo":5853,"seoTitle":5854,"slug":2245,"sources":5855,"stem":5864,"suitable":15,"tagline":5865,"tags":5866,"updated":1123,"verdict":5871,"website":5786,"__hash__":5872},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md","OpenManus",[5179,5180,5181],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":17,"value":5183,"toc":5812},[5184,5186,5193,5196,5198,5274,5276,5293,5297,5301,5327,5331,5357,5359,5491,5494,5500,5502,5667,5669,5727,5729,5755,5757,5777,5779,5809],[20,5185,23],{"id":22},[25,5187,5188,5189,5192],{},"OpenManus 是 MetaGPT 核心团队 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。差异点：MIT 协议 + Python 模块化架构 + 多 agent orchestration（",[2544,5190,5191],{},"run_flow.py","）+ Playwright 浏览器自动化 + MCP 工具协议支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习分支 + 自定义工具基类（BaseTool）+ 多模型（GPT-4o \u002F Claude \u002F Qwen VL Plus）。零邀请码、零订阅、零供应商绑定。",[25,5194,5195],{},"适合：想自托管复刻 Manus 体验的开发者；研究 \u002F 学术 \u002F 教育用通用 agent 实现学习；隐私敏感 + 不愿数据上 Manus 商业云；预算紧（只付 LLM API）；中国大陆开发者（搭配 Qwen \u002F DeepSeek 本地化）。不适合：非开发者 \u002F 不会折腾 Python + Playwright；要 GUI \u002F 上手即用；生产级稳定（项目演进快，文档滞后）。",[20,5197,33],{"id":33},[35,5199,5200,5208,5214,5220,5226,5232,5238,5244,5250,5256,5262,5268],{},[38,5201,5202,2293,5205,5207],{},[41,5203,5204],{},"多 agent orchestration",[2544,5206,5191],{}," 编排多个专门 agent 协作",[38,5209,5210,5213],{},[41,5211,5212],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[38,5215,5216,5219],{},[41,5217,5218],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F 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等）",[38,5288,5289],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[38,5291,5292],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[20,5294,5296],{"id":5295},"实测开发者-自托管-研究场景","实测（开发者 \u002F 自托管 \u002F 研究场景）",[25,5298,5299],{},[41,5300,168],{},[35,5302,5303,5306,5309,5312,5315,5318,5321,5324],{},[38,5304,5305],{},"52k stars 印证社区认同度 + 活跃度",[38,5307,5308],{},"MetaGPT 团队背景保证架构质量",[38,5310,5311],{},"多 agent 协作场景比单 agent 实现稳得多",[38,5313,5314],{},"Playwright 浏览器自动化非常完整",[38,5316,5317],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[38,5319,5320],{},"DataAnalysis 内置 agent 模式开箱即用",[38,5322,5323],{},"中文支持自然（Qwen VL Plus 接入）",[38,5325,5326],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[25,5328,5329],{},[41,5330,193],{},[35,5332,5333,5336,5339,5342,5345,5348,5351,5354],{},[38,5334,5335],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[38,5337,5338],{},"文档滞后新功能 1-2 个月",[38,5340,5341],{},"无官方 GUI，监控 UI 在做但不完整",[38,5343,5344],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[38,5346,5347],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[38,5349,5350],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[38,5352,5353],{},"中文 prompt 效果依赖底层模型",[38,5355,5356],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[20,5358,216],{"id":216},[2538,5360,5362],{"className":2540,"code":5361,"language":2542,"meta":513,"style":513},"git clone https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\ncd OpenManus\npython3.12 -m venv .venv && source .venv\u002Fbin\u002Factivate  # 或 .venv\\Scripts\\activate\npip install -r requirements.txt\nplaywright install chromium\n\n# 配 LLM API\ncp config\u002Fconfig.example.toml config\u002Fconfig.toml\n# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n\n# 单 agent 模式\npython main.py\n\n# 多 agent 模式\npython run_flow.py\n",[2544,5363,5364,5373,5380,5406,5416,5426,5430,5436,5447,5453,5458,5464,5472,5477,5483],{"__ignoreMap":513},[2547,5365,5366,5368,5370],{"class":2549,"line":2550},[2547,5367,2554],{"class":2553},[2547,5369,2558],{"class":2557},[2547,5371,5372],{"class":2557}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[2547,5374,5375,5377],{"class":2549,"line":517},[2547,5376,2567],{"class":2566},[2547,5378,5379],{"class":2557}," OpenManus\n",[2547,5381,5382,5385,5387,5390,5393,5397,5400,5403],{"class":2549,"line":514},[2547,5383,5384],{"class":2553},"python3.12",[2547,5386,2610],{"class":2566},[2547,5388,5389],{"class":2557}," venv",[2547,5391,5392],{"class":2557}," .venv",[2547,5394,5396],{"class":5395},"sVt8B"," && ",[2547,5398,5399],{"class":2566},"source",[2547,5401,5402],{"class":2557}," .venv\u002Fbin\u002Factivate",[2547,5404,5405],{"class":2600},"  # 或 .venv\\Scripts\\activate\n",[2547,5407,5408,5410,5412,5414],{"class":2549,"line":547},[2547,5409,2575],{"class":2553},[2547,5411,2578],{"class":2557},[2547,5413,2581],{"class":2566},[2547,5415,2584],{"class":2557},[2547,5417,5418,5421,5423],{"class":2549,"line":548},[2547,5419,5420],{"class":2553},"playwright",[2547,5422,2578],{"class":2557},[2547,5424,5425],{"class":2557}," chromium\n",[2547,5427,5428],{"class":2549,"line":2604},[2547,5429,4783],{"emptyLinePlaceholder":537},[2547,5431,5433],{"class":2549,"line":5432},7,[2547,5434,5435],{"class":2600},"# 配 LLM API\n",[2547,5437,5439,5441,5444],{"class":2549,"line":5438},8,[2547,5440,2589],{"class":2553},[2547,5442,5443],{"class":2557}," config\u002Fconfig.example.toml",[2547,5445,5446],{"class":2557}," config\u002Fconfig.toml\n",[2547,5448,5450],{"class":2549,"line":5449},9,[2547,5451,5452],{"class":2600},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[2547,5454,5456],{"class":2549,"line":5455},10,[2547,5457,4783],{"emptyLinePlaceholder":537},[2547,5459,5461],{"class":2549,"line":5460},11,[2547,5462,5463],{"class":2600},"# 单 agent 模式\n",[2547,5465,5467,5469],{"class":2549,"line":5466},12,[2547,5468,2607],{"class":2553},[2547,5470,5471],{"class":2557}," main.py\n",[2547,5473,5475],{"class":2549,"line":5474},13,[2547,5476,4783],{"emptyLinePlaceholder":537},[2547,5478,5480],{"class":2549,"line":5479},14,[2547,5481,5482],{"class":2600},"# 多 agent 模式\n",[2547,5484,5486,5488],{"class":2549,"line":5485},15,[2547,5487,2607],{"class":2553},[2547,5489,5490],{"class":2557}," run_flow.py\n",[25,5492,5493],{},"试任务示例：",[2538,5495,5498],{"className":5496,"code":5497,"language":3425},[3423],"> 帮我做一份『2026 开源 AI Agent 框架』竞品对比，含表格 + 引用 + 趋势分析，输出为 markdown 文件\n",[2544,5499,5497],{"__ignoreMap":513},[20,5501,248],{"id":248},[97,5503,5504,5521],{},[100,5505,5506],{},[103,5507,5508,5510,5512,5515,5518],{},[106,5509,257],{},[106,5511,5177],{},[106,5513,5514],{},"LangChain",[106,5516,5517],{},"AutoGPT",[106,5519,5520],{},"CrewAI",[115,5522,5523,5539,5553,5565,5580,5593,5607,5621,5638,5651],{},[103,5524,5525,5527,5530,5533,5536],{},[120,5526,1359],{},[120,5528,5529],{},"现成 agent 实现",[120,5531,5532],{},"building blocks",[120,5534,5535],{},"早期通用 agent",[120,5537,5538],{},"多 agent 框架",[103,5540,5541,5544,5547,5549,5551],{},[120,5542,5543],{},"浏览器自动化",[120,5545,5546],{},"✅ Playwright",[120,5548,875],{},[120,5550,860],{},[120,5552,875],{},[103,5554,5555,5557,5559,5561,5563],{},[120,5556,855],{},[120,5558,377],{},[120,5560,860],{},[120,5562,875],{},[120,5564,875],{},[103,5566,5567,5570,5573,5576,5578],{},[120,5568,5569],{},"多 agent",[120,5571,5572],{},"✅ orchestration",[120,5574,5575],{},"需自搭",[120,5577,299],{},[120,5579,863],{},[103,5581,5582,5585,5587,5589,5591],{},[120,5583,5584],{},"DataAnalysis 内置",[120,5586,377],{},[120,5588,875],{},[120,5590,875],{},[120,5592,875],{},[103,5594,5595,5598,5601,5603,5605],{},[120,5596,5597],{},"RL 微调",[120,5599,5600],{},"✅ OpenManus-RL",[120,5602,875],{},[120,5604,875],{},[120,5606,875],{},[103,5608,5609,5612,5615,5617,5619],{},[120,5610,5611],{},"协议",[120,5613,5614],{},"MIT",[120,5616,5614],{},[120,5618,5614],{},[120,5620,5614],{},[103,5622,5623,5626,5629,5632,5635],{},[120,5624,5625],{},"Stars",[120,5627,5628],{},"52k+",[120,5630,5631],{},"100k+",[120,5633,5634],{},"170k+",[120,5636,5637],{},"30k+",[103,5639,5640,5642,5644,5647,5649],{},[120,5641,216],{},[120,5643,1989],{},[120,5645,5646],{},"难",[120,5648,1989],{},[120,5650,1989],{},[103,5652,5653,5655,5658,5661,5664],{},[120,5654,913],{},[120,5656,5657],{},"自托管 Manus 复刻",[120,5659,5660],{},"底层 framework",[120,5662,5663],{},"学习经典",[120,5665,5666],{},"多 agent 协作",[20,5668,382],{"id":382},[35,5670,5671,5677,5687,5693,5699,5705,5711,5717,5721],{},[38,5672,5673,5676],{},[41,5674,5675],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[38,5678,5679,5682,5683,5686],{},[41,5680,5681],{},"Playwright 依赖大","：首次 ",[2544,5684,5685],{},"playwright install"," 下 chromium 慢，国内走镜像",[38,5688,5689,5692],{},[41,5690,5691],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[38,5694,5695,5698],{},[41,5696,5697],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[38,5700,5701,5704],{},[41,5702,5703],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[38,5706,5707,5710],{},[41,5708,5709],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[38,5712,5713,5716],{},[41,5714,5715],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[38,5718,5719,983],{},[41,5720,982],{},[38,5722,5723,5726],{},[41,5724,5725],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[20,5728,424],{"id":423},[35,5730,5731,5734,5737,5740,5743,5746,5749,5752],{},[38,5732,5733],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[38,5735,5736],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[38,5738,5739],{},"✅ 隐私敏感 + 不愿数据上商业云",[38,5741,5742],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[38,5744,5745],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[38,5747,5748],{},"❌ 要 GUI \u002F 上手即用",[38,5750,5751],{},"❌ 生产级稳定（文档滞后 + 演进快）",[38,5753,5754],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[20,5756,484],{"id":484},[35,5758,5759,5765,5771],{},[38,5760,5761],{},[224,5762,5764],{"href":5763},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[38,5766,5767],{},[224,5768,5770],{"href":5769},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[38,5772,5773],{},[224,5774,5776],{"href":5775},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[20,5778,498],{"id":498},[218,5780,5781,5788,5795,5802],{},[38,5782,5783,5784],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[224,5785,5786],{"href":5786,"rel":5787},"https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",[228],[38,5789,5790,5791],{},"Foundation Agents — OpenManus 项目介绍 ",[224,5792,5793],{"href":5793,"rel":5794},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[228],[38,5796,5797,5798],{},"Toolsverse — OpenManus 评测 + 52k stars ",[224,5799,5800],{"href":5800,"rel":5801},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[228],[38,5803,5804,5805],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[224,5806,5807],{"href":5807,"rel":5808},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[228],[2924,5810,5811],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":513,"searchDepth":514,"depth":514,"links":5813},[5814,5815,5816,5817,5818,5819,5820,5821,5822,5823],{"id":22,"depth":517,"text":23},{"id":33,"depth":517,"text":33},{"id":95,"depth":517,"text":95},{"id":5295,"depth":517,"text":5296},{"id":216,"depth":517,"text":216},{"id":248,"depth":517,"text":248},{"id":382,"depth":517,"text":382},{"id":423,"depth":517,"text":424},{"id":484,"depth":517,"text":484},{"id":498,"depth":517,"text":498},"\u002Fimg\u002Ftools\u002Fopenmanus.webp","OpenManus 真实评测：MetaGPT 核心成员 Xinbin Liang \u002F Jinyu Xiang \u002F Zhaoyang Yu \u002F Jiayi Zhang \u002F Sirui Hong 在 2025-03 推出的开源 Manus 替代方案，52,000+ GitHub stars。MIT 协议 + Python 模块化架构 + 多 agent orchestration（run_flow.py）+ Playwright 浏览器自动化 + MCP 工具支持 + DataAnalysis 内置模式 + OpenManus-RL 强化学习微调分支 + 自定义工具基类（BaseTool）。零邀请码、零订阅、零供应商绑定，唯一成本 = LLM API。",[5827,5830,5833,5836],{"q":5828,"a":5829},"OpenManus 和 Manus 是什么关系？","Manus 是商业 \u002F 邀请制的通用 AI agent 产品。OpenManus 是 MetaGPT 核心团队 2025-03 推出的开源复刻版，目标是『让所有人不靠邀请码就能用上类 Manus 能力』。功能覆盖：研究 \u002F 浏览器 \u002F 数据分析 \u002F 文件操作 \u002F 多步 reasoning。不是 Manus 官方出品。",{"q":5831,"a":5832},"和 LangChain \u002F AutoGPT \u002F CrewAI 怎么定位？","OpenManus 不是 framework，更像『可直接跑的通用 agent 实现』。LangChain 是 building block 框架；AutoGPT 是早期通用 agent；CrewAI 是多 agent 协作 framework。要『拉下来配 API 就能跑 Manus 风格任务』→ OpenManus；要『从底层搭自己的 agent』→ LangChain \u002F CrewAI；要『历史经典 + 学习』→ AutoGPT。OpenManus 内部用 LangChain-like 模块，可视为『现成实现』。",{"q":5834,"a":5835},"OpenManus-RL 是什么？","OpenManus 项目下的强化学习分支，提供 RL-based 微调方法优化 agent 性能。对研究 \u002F 高定制场景有价值，普通用户主仓库已经够用。",{"q":5837,"a":5838},"上手门槛？","需要 Python 3.12+ + 熟悉终端 + 自配 LLM API。无 GUI（虽然 web 监控界面在做）。documentation 偶尔滞后。非开发者建议先试 GUI 工具（Flowith \u002F Genspark），开发者 \u002F 研究者 + 想自托管 + 隐私敏感 → OpenManus。",[534,1638,1639],{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[1099,1097,1098,5843],"docker",[5845],{"plan":5282,"price":125,"features":5846,"notes":5847},"MIT 协议 + 全部功能 + 自托管 + 多 agent + 浏览器 + MCP + DataAnalysis + OpenManus-RL","LLM API 自付","MIT 完全免费开源 \u002F 用户自付 LLM API（GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus 任选）",[5850],"onboarding\u002Fopen-source-general-agent",[2981,2217],{"power":548,"ux":514,"price":548,"cn_support":547,"stability":514},{"title":5177,"description":5825},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[5856,5858,5860,5862],{"name":5857,"url":5786,"accessed":1123},"OpenManus GitHub（FoundationAgents 组织）",{"name":5859,"url":5793,"accessed":1123},"Foundation Agents — OpenManus 项目介绍",{"name":5861,"url":5800,"accessed":1123},"Toolsverse — OpenManus 评测 + 52k stars",{"name":5863,"url":5807,"accessed":1123},"SoloSoft.dev — OpenManus 2026 Framework 综述","tools\u002Fagent\u002Fgeneral\u002Fopenmanus","MetaGPT 团队开源版 Manus——52k+ stars \u002F MIT \u002F 多 agent + 浏览器自动化 + MCP + DataAnalysis",[3011,2234,5867,5868,5869,5870],"browser-automation","mcp","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","27xZ_sl8oK4xtfoZj-H7oK3WtsdrfyluCPcf_wJzlRM",{"id":5874,"title":5875,"alternatives":5876,"api_compatible":5877,"body":5881,"category":528,"chinese_friendly":548,"cover":6651,"description":6652,"domestic":537,"extension":532,"faq":6653,"free":537,"github":6624,"languages":6687,"lastVerified":15,"meta":6688,"models":6689,"navigation":537,"notSuitable":15,"opensource":537,"path":6695,"pillar":539,"platforms":6696,"priceTable":6697,"pricing":6700,"published":6701,"relatedPlaybooks":15,"relatedReviews":6702,"score":6704,"self_host":537,"seo":6705,"seoTitle":6706,"slug":6707,"sources":6708,"stem":6715,"suitable":15,"tagline":6716,"tags":6717,"updated":6701,"verdict":6723,"website":6617,"__hash__":6724},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fpageagent.md","PageAgent",[2245,5181],[1418,1421,5878,5879,5880,4213],"Google","Qwen","DeepSeek",{"type":17,"value":5882,"toc":6636},[5883,5885,5896,5899,5902,5904,5979,5981,5993,5997,6001,6030,6034,6057,6059,6063,6104,6107,6111,6126,6264,6268,6282,6415,6417,6561,6563,6595,6597,6608,6610,6633],[20,5884,23],{"id":22},[25,5886,5887,5888,5891,5892,5895],{},"PageAgent 是阿里巴巴开源的一款纯前端 JavaScript GUI Agent 框架，核心理念是 ",[41,5889,5890],{},"\"The GUI Agent Living in Your Webpage\"","——让 AI 直接「住进」你的网页。与传统浏览器自动化工具不同，它不依赖截图、多模态模型、无头浏览器或 Python 后端，仅需一行 ",[2544,5893,5894],{},"\u003Cscript>"," 标签即可嵌入任意页面，让用户通过自然语言指令操控 Web 界面。",[25,5897,5898],{},"核心差异点：MIT 协议 + 纯 TypeScript + DOM 脱水（文本化 DOM 分析） + 任意 LLM 接入（BYOK） + 零后端部署 + Human-in-the-Loop 协同面板 + 可选 Chrome 扩展跨标签页 + MCP Server Beta。",[25,5900,5901],{},"适合：想为自己的 Web 应用添加 AI Copilot 的 SaaS 团队；需要自然语言操作后台管理系统的场景；希望用 AI 增强无障碍体验的开发者；需要将客服机器人从「指导操作」升级为「直接操作」的产品团队。不适合：需要大规模跨网站爬取\u002F数据采集；需要 CI\u002FCD 自动化测试；需要无代码方案的非技术人员。",[20,5903,33],{"id":33},[35,5905,5906,5912,5921,5931,5937,5943,5949,5955,5961,5967,5973],{},[38,5907,5908,5911],{},[41,5909,5910],{},"DOM 脱水（DOM Dehydration）","：将页面 DOM 树压缩为精简文本，仅保留交互元素及其索引，发送给 LLM 处理。无需截图、无需多模态模型",[38,5913,5914,5917,5918,5920],{},[41,5915,5916],{},"零后端部署","：CDN 或 NPM 导入，一行 ",[2544,5919,5894],{}," 标签即可运行",[38,5922,5923,5926,5927,5930],{},[41,5924,5925],{},"任意 LLM 接入","：支持 OpenAI \u002F Claude \u002F Qwen \u002F DeepSeek \u002F Gemini 等任意兼容 ",[2544,5928,5929],{},"\u002Fchat\u002Fcompletions"," 接口的模型",[38,5932,5933,5936],{},[41,5934,5935],{},"Human-in-the-Loop","：侧边面板实时展示 AI 思考过程，遇到歧义时主动向用户确认",[38,5938,5939,5942],{},[41,5940,5941],{},"操作白名单 & 数据脱敏","：可定义允许的操作范围，保护敏感字段不被 AI 看到",[38,5944,5945,5948],{},[41,5946,5947],{},"自定义知识注入","：注入业务规则，让 AI 遵守特定的操作约束与流程",[38,5950,5951,5954],{},[41,5952,5953],{},"Chrome 扩展（可选）","：跨标签页\u002F多页面任务支持",[38,5956,5957,5960],{},[41,5958,5959],{},"MCP Server（Beta）","：外部 Agent 客户端可通过 MCP 协议控制浏览器",[38,5962,5963,5966],{},[41,5964,5965],{},"ReAct 循环架构","：Observe → Think（反思 + 行动）→ Act 的完整实现",[38,5968,5969,5972],{},[41,5970,5971],{},"Reflection-Before-Action","：每步先评估上步效果再决策，减少错误累积",[38,5974,5975,5978],{},[41,5976,5977],{},"TypeScript 编写","：完整类型定义，适合前端工程集成",[20,5980,95],{"id":95},[35,5982,5983,5987,5990],{},[38,5984,5985,5283],{},[41,5986,5282],{},[38,5988,5989],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Qwen3.5-plus 更便宜）",[38,5991,5992],{},"支持通过 Ollama 运行本地模型，API 成本为 $0",[20,5994,5996],{"id":5995},"实测开发者-前端集成-saas-场景","实测（开发者 \u002F 前端集成 \u002F SaaS 场景）",[25,5998,5999],{},[41,6000,168],{},[35,6002,6003,6006,6009,6012,6015,6018,6021,6024,6027],{},[38,6004,6005],{},"28,000+ GitHub stars，社区活跃度极高",[38,6007,6008],{},"阿里巴巴团队维护，代码质量有保障",[38,6010,6011],{},"DOM 脱水技术让 Token 成本比截图方案低一个数量级",[38,6013,6014],{},"推理速度快（0.5-1s vs 截图方案的 2-5s）",[38,6016,6017],{},"天然继承用户登录态，无需处理 Cookie\u002FSession 同步",[38,6019,6020],{},"零后端部署，适合前端团队独立完成",[38,6022,6023],{},"中文支持完美（阿里巴巴出品）",[38,6025,6026],{},"操作白名单 + 数据脱敏 + Human-in-the-Loop 三重安全机制",[38,6028,6029],{},"MCP Server 打通 Claude Desktop \u002F Cursor 生态",[25,6031,6032],{},[41,6033,193],{},[35,6035,6036,6039,6042,6045,6048,6051,6054],{},[38,6037,6038],{},"项目 v1.12.x 仍在快速迭代（30+ 个版本\u002F5 个月），API 可能变化",[38,6040,6041],{},"复杂动态页面 DOM 分析精度取决于 LLM 能力",[38,6043,6044],{},"不支持跨网站操作（除非安装 Chrome 扩展）",[38,6046,6047],{},"不适合大规模爬虫和性能测试场景",[38,6049,6050],{},"生产环境需要自行处理 LLM 调用错误和重试",[38,6052,6053],{},"文档有中英文版本，部分内容可能滞后",[38,6055,6056],{},"非前端开发者需要一定的 JavaScript 能力",[20,6058,216],{"id":216},[2283,6060,6062],{"id":6061},"快速体验一行-cdn-脚本","快速体验（一行 CDN 脚本）",[2538,6064,6068],{"className":6065,"code":6066,"language":6067,"meta":513,"style":513},"language-html shiki shiki-themes github-light github-dark","\u003Cscript src=\"https:\u002F\u002Fcdn.jsdelivr.net\u002Fnpm\u002Fpage-agent@1.10.0\u002Fdist\u002Fiife\u002Fpage-agent.demo.js\" crossorigin=\"true\">\u003C\u002Fscript>\n","html",[2544,6069,6070],{"__ignoreMap":513},[2547,6071,6072,6075,6079,6082,6085,6088,6091,6093,6096,6099,6101],{"class":2549,"line":2550},[2547,6073,6074],{"class":5395},"\u003C",[2547,6076,6078],{"class":6077},"s9eBZ","script",[2547,6080,6081],{"class":2553}," src",[2547,6083,6084],{"class":5395},"=",[2547,6086,6087],{"class":2557},"\"https:\u002F\u002Fcdn.jsdelivr.net\u002Fnpm\u002Fpage-agent@1.10.0\u002Fdist\u002Fiife\u002Fpage-agent.demo.js\"",[2547,6089,6090],{"class":2553}," crossorigin",[2547,6092,6084],{"class":5395},[2547,6094,6095],{"class":2557},"\"true\"",[2547,6097,6098],{"class":5395},">\u003C\u002F",[2547,6100,6078],{"class":6077},[2547,6102,6103],{"class":5395},">\n",[25,6105,6106],{},"加载后页面右下角出现 Agent 面板，可以直接输入自然语言命令。",[2283,6108,6110],{"id":6109},"npm-安装生产用法","NPM 安装（生产用法）",[2538,6112,6114],{"className":2540,"code":6113,"language":2542,"meta":513,"style":513},"npm install page-agent\n",[2544,6115,6116],{"__ignoreMap":513},[2547,6117,6118,6121,6123],{"class":2549,"line":2550},[2547,6119,6120],{"class":2553},"npm",[2547,6122,2578],{"class":2557},[2547,6124,6125],{"class":2557}," page-agent\n",[2538,6127,6131],{"className":6128,"code":6129,"language":6130,"meta":513,"style":513},"language-typescript shiki shiki-themes github-light github-dark","import { PageAgent } from 'page-agent'\n\nconst agent = new PageAgent({\n  model: 'qwen3.5-plus',\n  baseURL: 'https:\u002F\u002Fdashscope.aliyuncs.com\u002Fcompatible-mode\u002Fv1',\n  apiKey: 'YOUR_API_KEY',\n  language: 'zh-CN',\n})\n\n\u002F\u002F 执行自然语言任务\nconst result = await agent.execute('点击登录按钮，然后填写用户名为 test@example.com')\nconsole.log(result.success, result.message)\n","typescript",[2544,6132,6133,6147,6151,6171,6182,6192,6202,6212,6217,6221,6226,6253],{"__ignoreMap":513},[2547,6134,6135,6138,6141,6144],{"class":2549,"line":2550},[2547,6136,6137],{"class":4774},"import",[2547,6139,6140],{"class":5395}," { PageAgent } ",[2547,6142,6143],{"class":4774},"from",[2547,6145,6146],{"class":2557}," 'page-agent'\n",[2547,6148,6149],{"class":2549,"line":517},[2547,6150,4783],{"emptyLinePlaceholder":537},[2547,6152,6153,6156,6159,6162,6165,6168],{"class":2549,"line":514},[2547,6154,6155],{"class":4774},"const",[2547,6157,6158],{"class":2566}," agent",[2547,6160,6161],{"class":4774}," =",[2547,6163,6164],{"class":4774}," new",[2547,6166,6167],{"class":2553}," PageAgent",[2547,6169,6170],{"class":5395},"({\n",[2547,6172,6173,6176,6179],{"class":2549,"line":547},[2547,6174,6175],{"class":5395},"  model: ",[2547,6177,6178],{"class":2557},"'qwen3.5-plus'",[2547,6180,6181],{"class":5395},",\n",[2547,6183,6184,6187,6190],{"class":2549,"line":548},[2547,6185,6186],{"class":5395},"  baseURL: ",[2547,6188,6189],{"class":2557},"'https:\u002F\u002Fdashscope.aliyuncs.com\u002Fcompatible-mode\u002Fv1'",[2547,6191,6181],{"class":5395},[2547,6193,6194,6197,6200],{"class":2549,"line":2604},[2547,6195,6196],{"class":5395},"  apiKey: ",[2547,6198,6199],{"class":2557},"'YOUR_API_KEY'",[2547,6201,6181],{"class":5395},[2547,6203,6204,6207,6210],{"class":2549,"line":5432},[2547,6205,6206],{"class":5395},"  language: ",[2547,6208,6209],{"class":2557},"'zh-CN'",[2547,6211,6181],{"class":5395},[2547,6213,6214],{"class":2549,"line":5438},[2547,6215,6216],{"class":5395},"})\n",[2547,6218,6219],{"class":2549,"line":5449},[2547,6220,4783],{"emptyLinePlaceholder":537},[2547,6222,6223],{"class":2549,"line":5455},[2547,6224,6225],{"class":2600},"\u002F\u002F 执行自然语言任务\n",[2547,6227,6228,6230,6233,6235,6238,6241,6244,6247,6250],{"class":2549,"line":5460},[2547,6229,6155],{"class":4774},[2547,6231,6232],{"class":2566}," result",[2547,6234,6161],{"class":4774},[2547,6236,6237],{"class":4774}," await",[2547,6239,6240],{"class":5395}," agent.",[2547,6242,6243],{"class":2553},"execute",[2547,6245,6246],{"class":5395},"(",[2547,6248,6249],{"class":2557},"'点击登录按钮，然后填写用户名为 test@example.com'",[2547,6251,6252],{"class":5395},")\n",[2547,6254,6255,6258,6261],{"class":2549,"line":5466},[2547,6256,6257],{"class":5395},"console.",[2547,6259,6260],{"class":2553},"log",[2547,6262,6263],{"class":5395},"(result.success, result.message)\n",[2283,6265,6267],{"id":6266},"使用-core-包无-ui-面板嵌入式场景","使用 Core 包（无 UI 面板，嵌入式场景）",[2538,6269,6271],{"className":2540,"code":6270,"language":2542,"meta":513,"style":513},"npm install @page-agent\u002Fcore\n",[2544,6272,6273],{"__ignoreMap":513},[2547,6274,6275,6277,6279],{"class":2549,"line":2550},[2547,6276,6120],{"class":2553},[2547,6278,2578],{"class":2557},[2547,6280,6281],{"class":2557}," @page-agent\u002Fcore\n",[2538,6283,6285],{"className":6128,"code":6284,"language":6130,"meta":513,"style":513},"import { PageAgentCore } from '@page-agent\u002Fcore'\nimport { PageController } from '@page-agent\u002Fpage-controller'\n\nconst pageController = new PageController()\nconst agent = new PageAgentCore({\n  pageController,\n  llmConfig: {\n    model: 'gpt-4o',\n    baseURL: 'https:\u002F\u002Fapi.openai.com\u002Fv1',\n    apiKey: 'YOUR_API_KEY',\n  },\n})\n\nawait agent.execute('帮我创建一个新项目，名称为「AI Demo」')\n",[2544,6286,6287,6299,6311,6315,6332,6347,6352,6357,6367,6377,6386,6391,6395,6399],{"__ignoreMap":513},[2547,6288,6289,6291,6294,6296],{"class":2549,"line":2550},[2547,6290,6137],{"class":4774},[2547,6292,6293],{"class":5395}," { PageAgentCore } ",[2547,6295,6143],{"class":4774},[2547,6297,6298],{"class":2557}," '@page-agent\u002Fcore'\n",[2547,6300,6301,6303,6306,6308],{"class":2549,"line":517},[2547,6302,6137],{"class":4774},[2547,6304,6305],{"class":5395}," { PageController } ",[2547,6307,6143],{"class":4774},[2547,6309,6310],{"class":2557}," '@page-agent\u002Fpage-controller'\n",[2547,6312,6313],{"class":2549,"line":514},[2547,6314,4783],{"emptyLinePlaceholder":537},[2547,6316,6317,6319,6322,6324,6326,6329],{"class":2549,"line":547},[2547,6318,6155],{"class":4774},[2547,6320,6321],{"class":2566}," pageController",[2547,6323,6161],{"class":4774},[2547,6325,6164],{"class":4774},[2547,6327,6328],{"class":2553}," 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标签即可嵌入任何网页，实现自然语言驱动的点击、输入、导航等操作。",[6654,6657,6660,6663,6666,6669,6672,6675,6678,6681,6684],{"q":6655,"a":6656},"PageAgent 和传统浏览器自动化（Playwright \u002F Selenium）有什么区别？","PageAgent 是『页面内嵌』方案，直接在浏览器中作为 JavaScript 运行，天然继承用户登录态，无需无头浏览器和 Python 后端。Playwright 等是『外部驱动』方案，通过 CDP 协议远程控制浏览器，适合大规模测试和跨网站爬取。PageAgent 更适合为你的 Web 应用添加 AI 操作能力。",{"q":6658,"a":6659},"PageAgent 需要 Chrome 扩展吗？","不需要。PageAgent.js 作为独立脚本在单页面内即可工作。Chrome 扩展是可选的『增强包』，仅在需要跨标签页或多页面任务时才需要安装。",{"q":6661,"a":6662},"支持哪些 LLM？","支持任何兼容 OpenAI `\u002Fchat\u002Fcompletions` 接口的模型，包括 OpenAI GPT-4o、Claude 3.5、Qwen3.5、DeepSeek、Gemini、Grok、Kimi、GLM，以及通过 Ollama 运行的本地开源模型。用户提供自己的 API Key。",{"q":6664,"a":6665},"PageAgent 是国产的吗？","是的，由阿里巴巴开源，MIT 协议，TypeScript 编写。对中文场景有天然优化，支持中文指令和中文界面操作。",{"q":6667,"a":6668},"PageAgent 的 DOM 脱水（DOM Dehydration）是什么？","DOM 脱水是将页面 DOM 树压缩为精简文本的技术。它会移除样式信息、冗余容器和隐藏元素，只保留交互元素（按钮、输入框、链接等）及其索引，发送给 LLM 处理。相比截图方案，成本低一个数量级，速度更快（0.5-1s vs 2-5s）。",{"q":6670,"a":6671},"PageAgent 如何处理富文本编辑器（如 CodeMirror、Monaco）？","对于 CodeMirror 等自定义编辑器，PageAgent 默认无法直接识别 DOM 中的『输入框』。解决方案包括：先通过 DOM 判断编辑器类型，然后使用 `editor.setValue()` 或 `execCommand` 注入内容；或者预置编辑器适配器，让 LLM 知道当前编辑器类型并采用相应策略。",{"q":6673,"a":6674},"PageAgent 支持 Shadow DOM 吗？","默认 DOM 遍历不进 Shadow DOM 的 `#shadow-root`。如果页面使用 Web Components（如 Lit、Stencil），需要在初始化时配置 `enableShadowDOM: true`，PageAgent 会递归遍历所有 `shadowRoot` 子树的交互元素。",{"q":6676,"a":6677},"PageAgent 的 MCP Server 怎么用？","安装 `@page-agent\u002Fmcp` 包后，可以通过 MCP 协议让外部 Agent 客户端（如 Claude Desktop、Cursor）控制浏览器。MCP Server 在 PageAgent 的 Chrome 扩展之上运行，实现跨标签页和多页面任务。",{"q":6679,"a":6680},"PageAgent 最新版本是什么？","截至 2026 年 7 月，最新版本为 v1.12.2（2026-07-16 发布），自 2025 年 9 月开源以来已发布 30+ 个版本，迭代速度极快。生产环境建议 pin 版本号。",{"q":6682,"a":6683},"动态页面（如实时仪表盘）会导致 Agent 不稳定吗？","是的。页面有持续动画或轮询请求时，DOM 不断变化可能导致竞态条件。建议设置 `domStableTimeout: 3000`（最多等 3 秒），操作前使用 `MutationObserver` 确认目标元素已稳定。",{"q":6685,"a":6686},"PageAgent 和 browser-use 有什么区别？","PageAgent 是纯前端方案（一行 script 标签），不需要截图和多模态模型，部署在浏览器内。browser-use 是 Python 后端方案，需要截图 + 多模态 LLM + 无头浏览器，适合跨网站爬虫场景。PageAgent 成本更低、速度更快，但不适合大规模爬虫和数据采集。",[534,1638,1639],{},[6690,6691,6692,6693,6694],"GPT-4o","Claude 3.5 Sonnet","Qwen3.5-plus","DeepSeek-V3","Gemini 2.5 Pro","\u002Ftools\u002Fagent\u002Fgeneral\u002Fpageagent",[541],[6698],{"plan":5282,"price":125,"features":6699,"notes":5847},"MIT 协议 + 全部功能 + 自托管 + DOM Dehydration + 任意 LLM 接入 + Chrome 扩展 + MCP Server","MIT 完全免费开源 \u002F 用户自付 LLM API（支持 OpenAI \u002F Claude \u002F Qwen \u002F DeepSeek 等任意兼容模型）","2026-07-28",[6703],"pageagent-deep-review",{"power":547,"ux":547,"price":548,"cn_support":548,"stability":514},{"title":5875,"description":6652},"PageAgent - 阿里开源前端 GUI Agent 评测 | AIHO","agent\u002Fgeneral\u002Fpageagent",[6709,6711,6713],{"name":6710,"url":6617,"accessed":6701},"PageAgent 官方文档",{"name":6712,"url":6624,"accessed":6701},"PageAgent GitHub（alibaba 组织）",{"name":6714,"url":6631,"accessed":6701},"PageAgent 官网","tools\u002Fagent\u002Fgeneral\u002Fpageagent","阿里巴巴开源纯前端 GUI Agent——一行 script 标签让 AI 自然语言控制你的 Web 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