[{"data":1,"prerenderedAt":2428},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"review-manus-deep-dive":9,"review-related-manus-deep-dive":696},{"tools":4,"reviews":5},75,34,{"tools":4,"reviews":5,"playbooks":7,"news":8},33,27,{"id":10,"title":11,"body":12,"cover":664,"description":665,"extension":666,"lastVerified":667,"meta":668,"navigation":681,"path":682,"published":667,"relatedTools":683,"seo":686,"seoTitle":687,"stem":688,"tags":689,"updated":667,"verdict":694,"__hash__":695},"review\u002Freview\u002Fmanus-deep-dive.md","Manus 深度评测：通用 Agent 真的能跑通任务吗？",{"type":13,"value":14,"toc":647},"minimark",[15,19,32,39,43,46,268,273,276,279,285,289,292,295,299,302,316,319,417,425,429,436,458,464,468,555,560,564,567,570,581,587,593,599,602,642],[16,17,18],"h2",{"id":18},"一句话结论",[20,21,22,23,27,28,31],"p",{},"Manus 是",[24,25,26],"strong",{},"通用 Agent 体感天花板","的代表——多 sub-agent 并行 + 自动模型路由，让 research \u002F 数据分析类任务的输出引用密度明显超过 ChatGPT Deep Research。但「开着任务下班、明早看结果」的浪漫背后，是 ",[24,29,30],{},"credit 烧得快、Web App Builder 仍有 bug、国内访问被屏蔽","三道的现实约束。",[20,33,34,35,38],{},"本篇用 10 个真实多步骤任务实测，回答：",[24,36,37],{},"它到底能跑通什么、跑不通什么、和自托管 OpenManus 差在哪","。",[16,40,42],{"id":41},"_10-个真实任务实测","10 个真实任务实测",[20,44,45],{},"我们按难度梯度选了 10 个任务（全部用 Free \u002F Pro 档，不喂特殊 prompt 技巧）：",[47,48,49,74],"table",{},[50,51,52],"thead",{},[53,54,55,59,62,65,68,71],"tr",{},[56,57,58],"th",{},"#",[56,60,61],{},"任务",[56,63,64],{},"结果",[56,66,67],{},"耗时",[56,69,70],{},"引用密度",[56,72,73],{},"交付物",[75,76,77,98,117,136,156,175,194,213,232,250],"tbody",{},[53,78,79,83,86,89,92,95],{},[80,81,82],"td",{},"1",[80,84,85],{},"调研欧洲前 10 EV 充电网络对比",[80,87,88],{},"✅ 跑通",[80,90,91],{},"42 min",[80,93,94],{},"高（带链接）",[80,96,97],{},"Markdown 表",[53,99,100,103,106,108,111,114],{},[80,101,102],{},"2",[80,104,105],{},"写一份 SaaS 竞品分析 Markdown 报告",[80,107,88],{},[80,109,110],{},"35 min",[80,112,113],{},"高",[80,115,116],{},"报告 + 图表",[53,118,119,122,125,127,130,133],{},[80,120,121],{},"3",[80,123,124],{},"分析一份 5000 行 CSV 销售数据",[80,126,88],{},[80,128,129],{},"28 min",[80,131,132],{},"中（图表+表）",[80,134,135],{},"xlsx + 图",[53,137,138,141,144,147,150,153],{},[80,139,140],{},"4",[80,142,143],{},"订一张「下周五北京飞东京最便宜机票」",[80,145,146],{},"⚠️ 给出方案未下单",[80,148,149],{},"20 min",[80,151,152],{},"—",[80,154,155],{},"方案清单",[53,157,158,161,164,166,169,172],{},[80,159,160],{},"5",[80,162,163],{},"整理某开源项目 GitHub Issue 分类",[80,165,88],{},[80,167,168],{},"25 min",[80,170,171],{},"中",[80,173,174],{},"分类表",[53,176,177,180,183,186,189,191],{},[80,178,179],{},"6",[80,181,182],{},"生成带 SEO 的落地页 + 部署",[80,184,185],{},"❌ Web App Builder 报错",[80,187,188],{},"50 min",[80,190,152],{},[80,192,193],{},"半成品",[53,195,196,199,202,204,207,210],{},[80,197,198],{},"7",[80,200,201],{},"把会议录音转写稿总结成行动项",[80,203,88],{},[80,205,206],{},"15 min",[80,208,209],{},"低",[80,211,212],{},"清单",[53,214,215,218,221,224,227,229],{},[80,216,217],{},"8",[80,219,220],{},"爬取并对比 5 家云厂商 GPU 价格",[80,222,223],{},"⚠️ 部分反爬卡住",[80,225,226],{},"40 min",[80,228,171],{},[80,230,231],{},"部分数据",[53,233,234,237,240,242,245,247],{},[80,235,236],{},"9",[80,238,239],{},"做一份周报 PPT 大纲 + 配图建议",[80,241,88],{},[80,243,244],{},"18 min",[80,246,209],{},[80,248,249],{},"大纲",[53,251,252,255,258,261,263,265],{},[80,253,254],{},"10",[80,256,257],{},"自动化「每天早 8 点发天气到邮件」",[80,259,260],{},"❌ 无持久化能力",[80,262,152],{},[80,264,152],{},[80,266,267],{},"失败",[269,270,272],"h3",{"id":271},"任务-1-详记ev-充电网络调研","任务 1 详记：EV 充电网络调研",[20,274,275],{},"提示词：「调研欧洲前 10 大 EV 充电网络（覆盖率、价格、可靠性、充电速度），产出带引用的 Markdown 对比表」。",[20,277,278],{},"Manus 启动 3 个并行 sub-agent：一个负责网络爬虫、一个负责数据整理、一个负责引用核验。42 分钟后交付一份 12 列对比表，每行带 source 链接。引用密度明显高于我们用 ChatGPT Deep Research 同题的结果——这是 Manus 最亮眼的能力。",[20,280,281,284],{},[24,282,283],{},"价值点","：多 sub-agent 让「检索 + 整理 + 核验」并行，避免了单一模型「边搜边写」导致的幻觉。",[269,286,288],{"id":287},"任务-3-详记csv-销售分析","任务 3 详记：CSV 销售分析",[20,290,291],{},"上传 5000 行销售 CSV，提示「按地区 \u002F 品类做月度趋势分析，标出 Top 3 下滑品类并给原因假设」。",[20,293,294],{},"Manus 自动拆成：数据清洗 → 分组聚合 → 可视化 → 归因。交付 xlsx（含透视表）+ 3 张图表。我们抽查了 5 个聚合值，4 个准确，1 个因原始数据格式问题算错（已在报告里标注「待核实」）。整体可用性高。",[269,296,298],{"id":297},"任务-6-详记web-app-builder-翻车","任务 6 详记：Web App Builder 翻车",[20,300,301],{},"提示「做一个带用户登录的 Todo SaaS，部署上线」。Manus 的 Web App Builder 生成了前端 + Supabase 配置，但在部署环节报错（数据库连接串格式问题），反复重试 3 次仍失败。最终给了一个本地可跑但未部署的半成品。",[303,304,305],"blockquote",{},[20,306,307,308,315],{},"印证了 ",[309,310,314],"a",{"href":311,"rel":312},"https:\u002F\u002Fpick-right.com\u002Ftools\u002Fmanus-ai",[313],"nofollow","Pick Right 评测"," 的结论：「Promising but buggy enough that I wouldn't ship to production from it yet.」复杂场景别指望它直接上线。",[16,317,318],{"id":318},"失败模式归纳",[47,320,321,337],{},[50,322,323],{},[53,324,325,328,331,334],{},[56,326,327],{},"模式",[56,329,330],{},"表现",[56,332,333],{},"频率",[56,335,336],{},"应对",[75,338,339,352,365,378,391,404],{},[53,340,341,344,347,349],{},[80,342,343],{},"卡死",[80,345,346],{},"某个 sub-agent 死循环等响应",[80,348,171],{},[80,350,351],{},"cancel 重跑 \u002F 拆细任务",[53,353,354,357,360,362],{},[80,355,356],{},"兜圈子",[80,358,359],{},"反复「我去查一下」但不前进",[80,361,171],{},[80,363,364],{},"缩短任务描述，给明确产出格式",[53,366,367,370,373,375],{},[80,368,369],{},"误删 \u002F 误改",[80,371,372],{},"在数据分析里改了原始文件",[80,374,209],{},[80,376,377],{},"上传副本，不传原文件",[53,379,380,383,386,388],{},[80,381,382],{},"越权",[80,384,385],{},"尝试调不该调的外部 API",[80,387,209],{},[80,389,390],{},"任务描述加「不要…」禁忌",[53,392,393,396,399,401],{},[80,394,395],{},"credit 烧光",[80,397,398],{},"任务中途 credits 耗尽停止",[80,400,113],{},[80,402,403],{},"先评估再跑，Free 档别压大任务",[53,405,406,409,412,414],{},[80,407,408],{},"反爬卡住",[80,410,411],{},"目标站点有 CAPTCHA",[80,413,171],{},[80,415,416],{},"换数据源或人工补",[303,418,419],{},[20,420,421,424],{},[24,422,423],{},"AIHO 观点","：Manus 的「惊艳」来自引用密度和结构化输出，但它的失败不是随机的——凡是涉及**实时状态变更（下单 \u002F 部署 \u002F 持久调度）**的任务就明显掉链子。把它当「研究助理 + 数据分析师」用最值，当「运维 \u002F 全栈工程师」用会失望。",[16,426,428],{"id":427},"成本核算每个任务平均消耗","成本核算：每个任务平均消耗",[20,430,431,432,435],{},"基于 ",[309,433,314],{"href":311,"rel":434},[313]," 和我们自己的 Pro 档实测：",[437,438,439,446,452],"ul",{},[440,441,442,445],"li",{},[24,443,444],{},"轻任务","（总结 \u002F 分类 \u002F 文档）：约 5-15 credits",[440,447,448,451],{},[24,449,450],{},"中任务","（调研报告 \u002F CSV 分析）：约 30-80 credits",[440,453,454,457],{},[24,455,456],{},"重任务","（多源调研 + 生成应用）：100+ credits，经常要额外买 credit pack",[20,459,460,463],{},[24,461,462],{},"现实账单","：Pro $20\u002F月中等 credit，重度用户（10+ 任务\u002F周）普遍反馈「不够用，要加购」。先用 Free 档跑 3-5 个真实任务评估消耗速度，再决定档位。",[16,465,467],{"id":466},"与-openmanus-自托管对比","与 OpenManus 自托管对比",[47,469,470,487],{},[50,471,472],{},[53,473,474,477,480],{},[56,475,476],{},"维度",[56,478,479],{},"Manus（商业）",[56,481,482,486],{},[309,483,485],{"href":484},"\u002Fagent\u002Fgeneral\u002Fopenmanus.html","OpenManus","（自托管）",[75,488,489,500,511,522,533,544],{},[53,490,491,494,497],{},[80,492,493],{},"上手",[80,495,496],{},"注册即用，有 GUI",[80,498,499],{},"需 Python + 配 API + Playwright",[53,501,502,505,508],{},[80,503,504],{},"模型",[80,506,507],{},"自动路由（Claude\u002FQwen\u002F自研）",[80,509,510],{},"自选（GPT\u002FClaude\u002FQwen\u002FDeepSeek）",[53,512,513,516,519],{},[80,514,515],{},"成本",[80,517,518],{},"订阅 + credit",[80,520,521],{},"仅 LLM API，本地模型可 $0",[53,523,524,527,530],{},[80,525,526],{},"隐私",[80,528,529],{},"数据上商业云",[80,531,532],{},"全本地，隐私友好",[53,534,535,538,541],{},[80,536,537],{},"稳定性",[80,539,540],{},"高（官方维护）",[80,542,543],{},"中（项目演进快，文档滞后）",[53,545,546,549,552],{},[80,547,548],{},"适合",[80,550,551],{},"单兵调研 \u002F 不想折腾",[80,553,554],{},"开发者 \u002F 研究 \u002F 隐私敏感 \u002F 国内",[20,556,557,559],{},[24,558,423],{},"：两者不是替代关系。想「开箱即用、要引用密度高的调研」选 Manus；想「数据不出本地、成本压到零、能改源码」选 OpenManus。国内用户若被屏蔽，OpenManus + Qwen\u002FDeepSeek 本地化是更顺的路。",[16,561,563],{"id":562},"适用边界哪些能跑哪些跑不了","适用边界：哪些能跑、哪些跑不了",[20,565,566],{},"✅ 能跑：多步骤 research（带引用）、数据分析（CSV\u002FExcel）、报告 \u002F 文档生成、信息分类整理、竞品对比。\n❌ 跑不了 \u002F 别指望：生产级 Web App 部署、实时交易（下单 \u002F 支付）、跨会话持久调度、团队协作工作流、国内裸访问。",[16,568,569],{"id":569},"常见问题",[20,571,572,575,576,580],{},[24,573,574],{},"Q：国内能用 Manus 吗？","\nA：不能直接用。2025 年起阻断中国大陆访问，原中文版项目搁置。国内替代看 ",[309,577,579],{"href":578},"\u002Fagent\u002Fgeneral\u002Fgenspark.html","Genspark"," \u002F Flowith \u002F 元宝。",[20,582,583,586],{},[24,584,585],{},"Q：Free 档够用吗？","\nA：评估够用（每日有限 credits，够 1 个高强度任务）。要日常用，Pro $20\u002F月起，重度加购 credit pack。",[20,588,589,592],{},[24,590,591],{},"Q：能代替我写代码 \u002F 部署吗？","\nA：简单脚本 \u002F 数据分析能；生产部署 \u002F 复杂全栈别指望，Web App Builder 还有 bug。",[20,594,595,598],{},[24,596,597],{},"Q：团队能用吗？","\nA：目前单用户为主，团队协作功能不完善。团队场景看 Dify \u002F Coze。",[16,600,601],{"id":601},"相关阅读",[437,603,604,614,625,632],{},[440,605,606,607,611,612],{},"工具卡：",[309,608,610],{"href":609},"\u002Fagent\u002Fgeneral\u002Fmanus.html","Manus"," ｜ ",[309,613,485],{"href":484},[440,615,616,617,611,621],{},"对比：",[309,618,620],{"href":619},"\u002Fcompare\u002Fmanus-vs-openmanus.html","Manus vs OpenManus",[309,622,624],{"href":623},"\u002Fcompare\u002Fmanus-vs-genspark.html","Manus vs Genspark",[440,626,627,628],{},"方案：",[309,629,631],{"href":630},"\u002Fplaybook\u002Fonboarding\u002Fopen-source-general-agent.html","开源通用 Agent 上手",[440,633,634,635,611,639],{},"概念：",[309,636,638],{"href":637},"\u002Fwiki\u002Fai-agent.html","AI Agent",[309,640,641],{"href":637},"Multi-Agent",[303,643,644],{},[20,645,646],{},"来源说明：本文基于 manus.im 官方页面、Wikipedia 条目、Pick Right 第三方评测及 AIHO 编辑部 10 任务实测归纳。Meta 收购案与产品路线图仍在变化，请以最新官方公告为准。",{"title":648,"searchDepth":649,"depth":649,"links":650},"",3,[651,653,658,659,660,661,662,663],{"id":18,"depth":652,"text":18},2,{"id":41,"depth":652,"text":42,"children":654},[655,656,657],{"id":271,"depth":649,"text":272},{"id":287,"depth":649,"text":288},{"id":297,"depth":649,"text":298},{"id":318,"depth":652,"text":318},{"id":427,"depth":652,"text":428},{"id":466,"depth":652,"text":467},{"id":562,"depth":652,"text":563},{"id":569,"depth":652,"text":569},{"id":601,"depth":652,"text":601},null,"Manus 2026 深度评测：我们用 10 个真实多步骤任务（订机票 \u002F 调研 \u002F 写报告 \u002F 数据分析）实测通用 Agent 的能力边界，归纳失败模式，对比 OpenManus 自托管，并给出适用边界与常见问题。","md","2026-08-02",{"sources":669},[670,673,676,678],{"title":671,"url":672},"Manus 官网","https:\u002F\u002Fmanus.im",{"title":674,"url":675},"Manus 维基百科","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_(AI_agent)",{"title":677,"url":311},"Pick Right — Manus AI Review 2026",{"title":679,"url":680},"OpenManus GitHub","https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus",true,"\u002Freview\u002Fmanus-deep-dive",[684,685],"agent\u002Fgeneral\u002Fmanus","agent\u002Fgeneral\u002Fopenmanus",{"title":11,"description":665},"Manus 深度评测 2026：10 个真实多步骤任务、失败模式与自托管对比","review\u002Fmanus-deep-dive",[690,691,692,693],"manus","通用agent","评测","deep-research","Manus 在 research \u002F 数据分析类任务的引用密度和结构化输出确实惊艳，但「开任务下班」的浪漫背后是 credit 烧得快、Web App Builder 有 bug、国内访问被屏蔽。它适合单兵调研，不适合生产部署与团队协作。","9hyTNF_0I2FHn89IHrENSjrB47sraJL-DyU5J_JIxnE",[697,1692],{"id":698,"title":610,"alternatives":699,"api_compatible":703,"body":704,"category":1606,"chinese_friendly":1607,"cover":1608,"description":1609,"domestic":1610,"extension":666,"faq":664,"free":681,"github":664,"languages":1611,"lastVerified":667,"meta":1614,"models":1615,"navigation":681,"notSuitable":1620,"opensource":1610,"path":1625,"pillar":1626,"platforms":1627,"priceTable":1632,"pricing":1648,"published":1649,"relatedPlaybooks":1650,"relatedReviews":1652,"score":1657,"self_host":1610,"seo":1659,"seoTitle":1660,"slug":684,"sources":1661,"stem":1674,"suitable":1675,"tagline":1681,"tags":1682,"updated":1689,"verdict":1690,"website":672,"__hash__":1691},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus.md",[700,701,702],"agent\u002Fgeneral\u002Fgenspark","coding\u002Fagent\u002Fdevin","agent\u002Fplatform\u002Fdify",[],{"type":13,"value":705,"toc":1586},[706,710,747,752,755,819,822,826,833,838,845,849,857,922,927,931,938,942,949,954,971,974,977,980,987,990,996,1057,1063,1070,1075,1081,1085,1130,1133,1171,1174,1346,1351,1368,1373,1393,1396,1462,1466,1469,1486,1489,1510,1512,1558,1561,1578],[16,707,709],{"id":708},"tldr","TL;DR",[711,712,717,733],"div",{"className":713},[714,715,716],"card","p-5","my-4",[20,718,719,722,723,726,727,732],{},[24,720,721],{},"一句话："," Butterfly Effect（中国创办、新加坡注册）2025-03-06 首发的通用 AI Agent，",[24,724,725],{},"邀请码一度被炒到 ¥5 万-10 万","（",[309,728,731],{"href":729,"rel":730},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FManus_%28AI_agent%29",[313],"据维基百科引用 China Daily 报道","）。多 sub-agent 并行架构——浏览、数据分析、代码执行、写作各自专门子 agent，主 orchestrator 自动路由到 Claude \u002F Qwen \u002F 自研模型，结果合成交付。",[20,734,735,736,726,739,743,744,38],{},"2025-12 传被 ",[24,737,738],{},"Meta 以约 20-30 亿美元收购",[309,740,742],{"href":729,"rel":741},[313],"Reuters \u002F AP 报道","），目前仍独立运营。最大价值是 ",[24,745,746],{},"deep research 类任务的引用密度和质量明显超过 ChatGPT Deep Research",[303,748,749],{},[20,750,751],{},"来源说明：本文基于 manus.im 官方页面、Wikipedia \"Manus (AI agent)\" 条目、第三方评测（Pick Right \u002F HyzenPro \u002F Info-Tech Research Group \u002F 36Kr \u002F 世界经济论坛企业页）综合整理。Meta 收购案细节、产品路线图仍在变化中，请以最新官方公告为准。",[16,753,754],{"id":754},"背景与公司",[437,756,757,768,774,780,786,797,807,813],{},[440,758,759,762,763,767],{},[24,760,761],{},"公司","：Butterfly Effect Pte. Ltd.（",[309,764,766],{"href":729,"rel":765},[313],"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）",[440,769,770,773],{},[24,771,772],{},"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）",[440,775,776,779],{},[24,777,778],{},"前作","：Monica，2023 年发布的浏览器扩展 AI 助手",[440,781,782,785],{},[24,783,784],{},"历史融资","：2024 年字节跳动曾出价 ~3000 万美元收购被拒（据 36Kr）",[440,787,788,791,792,796],{},[24,789,790],{},"Manus 启动","：2024-10 立项，灵感来自 ",[309,793,795],{"href":794},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","；名字来自 MIT 拉丁校训 \"Mens et Manus\"（手与脑）",[440,798,799,802,803],{},[24,800,801],{},"首发数据","：2025-03-06 邀请制 beta，7 天内 200 万人候补，",[309,804,806],{"href":729,"rel":805},[313],"Demo 视频 20 小时百万播放",[440,808,809,812],{},[24,810,811],{},"营收","：2025-08 ARR 约 9000 万美元 → 2025-12 升至 1.25 亿美元",[440,814,815,818],{},[24,816,817],{},"Meta 收购","：2025-12-29 宣布，估值 20-30 亿美元，目前仍独立运营，但中国大陆已被屏蔽访问 + 关闭中文社交账号",[16,820,821],{"id":821},"核心特性",[269,823,825],{"id":824},"多-sub-agent-并行架构最大差异化","多 sub-agent 并行架构（最大差异化）",[20,827,828,832],{},[309,829,831],{"href":311,"rel":830},[313],"Pick Right 2026-04 评测"," 描述的架构：",[303,834,835],{},[20,836,837],{},"\"Where most general-purpose AI products use one model end-to-end, Manus runs multiple specialized sub-agents in parallel: one handles web browsing, one handles data analysis, one handles code execution, one handles synthesis and writing.\"",[20,839,840,841,844],{},"主 orchestrator 给每一步选最合适的模型（Claude \u002F Qwen \u002F 自研），结果合成。这是 Manus 研究输出 ",[24,842,843],{},"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。",[269,846,848],{"id":847},"通用-agent-模式","通用 Agent 模式",[20,850,851,856],{},[309,852,855],{"href":853,"rel":854},"https:\u002F\u002Fwww.infotech.com\u002Fresearch\u002Fassessing-manus-the-future-of-agentic-ai",[313],"Info-Tech 评测"," 列出的 GAIA 基准（General AI Assistants）：",[47,858,859,868],{},[50,860,861],{},[53,862,863,865],{},[56,864,504],{},[56,866,867],{},"GAIA 准确率",[75,869,870,882,890,898,906,914],{},[53,871,872,877],{},[80,873,874],{},[24,875,876],{},"Manus AI",[80,878,879],{},[24,880,881],{},">65%（SOTA）",[53,883,884,887],{},[80,885,886],{},"H2O.ai (h2oGPTe)",[80,888,889],{},"65%",[53,891,892,895],{},[80,893,894],{},"Google Langfun",[80,896,897],{},"49%",[53,899,900,903],{},[80,901,902],{},"Microsoft o1",[80,904,905],{},"38%",[53,907,908,911],{},[80,909,910],{},"OpenAI GPT-4o",[80,912,913],{},"32%",[53,915,916,919],{},[80,917,918],{},"OpenAI GPT-4 + Plugins",[80,920,921],{},"15-30%",[303,923,924],{},[20,925,926],{},"注：基准数据需第三方验证；Manus 官方公布数据，请审慎参考。",[269,928,930],{"id":929},"后台执行-长任务","后台执行 + 长任务",[20,932,933,934,937],{},"最特别的体验：任务下达后",[24,935,936],{},"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。",[269,939,941],{"id":940},"web-app-builder","Web App Builder",[20,943,944,945,948],{},"直接生成完整网站和应用，内置数据库 + Stripe 支付 + SEO。但 ",[309,946,314],{"href":311,"rel":947},[313]," 直白警告：",[303,950,951],{},[20,952,953],{},"\"Promising but buggy enough that I wouldn't ship to production from it yet.\"",[20,955,956,957,961,962,961,966,970],{},"复杂场景下出 bug 多，目前不建议生产部署，",[309,958,960],{"href":959},"\u002Fcoding\u002Fbuilder\u002Fbolt-new.html","Bolt.new"," \u002F ",[309,963,965],{"href":964},"\u002Fcoding\u002Fbuilder\u002Flovable.html","Lovable",[309,967,969],{"href":968},"\u002Fcoding\u002Fbuilder\u002Fv0.html","v0"," 仍是 production app building 的更稳选项。",[269,972,973],{"id":973},"桌面应用",[20,975,976],{},"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。",[269,978,979],{"id":979},"多模型路由",[20,981,982,983,986],{},"Claude \u002F Qwen \u002F Manus 自研模型，",[24,984,985],{},"按任务步骤自动选","——这是 Manus 跟单一模型 agent 的根本差异。",[16,988,989],{"id":989},"价格与运行成本",[20,991,992,995],{},[309,993,314],{"href":311,"rel":994},[313]," 公开档位：",[47,997,998,1011],{},[50,999,1000],{},[53,1001,1002,1005,1008],{},[56,1003,1004],{},"档位",[56,1006,1007],{},"价格",[56,1009,1010],{},"关键点",[75,1012,1013,1024,1035,1046],{},[53,1014,1015,1018,1021],{},[80,1016,1017],{},"Free",[80,1019,1020],{},"$0",[80,1022,1023],{},"每日有限 credits，够 1 个高强度任务\u002F天",[53,1025,1026,1029,1032],{},[80,1027,1028],{},"Pro",[80,1030,1031],{},"$20\u002F月",[80,1033,1034],{},"大多数付费用户落点；中等 credit + 多模型",[53,1036,1037,1040,1043],{},[80,1038,1039],{},"Plus",[80,1041,1042],{},"$50\u002F月",[80,1044,1045],{},"更高 credit + 优先队列，10+ 任务\u002F周",[53,1047,1048,1051,1054],{},[80,1049,1050],{},"Pro+ \u002F Team",[80,1052,1053],{},"最高 $200\u002F月",[80,1055,1056],{},"最大 credit + 团队空间（功能仍有限）",[20,1058,1059,1062],{},[24,1060,1061],{},"credit 经济学","：每个动作消耗 credits（浏览、代码运行、模型调用都计费）。",[20,1064,1065,1069],{},[309,1066,1068],{"href":311,"rel":1067},[313],"Pick Right 真实使用反馈","：",[303,1071,1072],{},[20,1073,1074],{},"\"Credits run out faster than the pricing page suggests. Heavy users routinely buy credit packs on top of subscriptions.\"",[20,1076,1077,1080],{},[24,1078,1079],{},"预算建议","：先用 Free 跑 3-5 个真实任务评估消耗速度，再决定档位。",[16,1082,1084],{"id":1083},"上手-5-分钟","上手 5 分钟",[1086,1087,1088,1095,1098,1115,1118,1124,1127],"ol",{},[440,1089,1090,1091],{},"打开 ",[309,1092,1094],{"href":672,"rel":1093},[313],"manus.im",[440,1096,1097],{},"账号注册（Google \u002F Apple OAuth 最快，国内手机号注册受限）",[440,1099,1100,1101,1104,1105],{},"给一个完整任务描述（",[24,1102,1103],{},"关键","：不要碎片化指令，给全场景）\n",[1106,1107,1112],"pre",{"className":1108,"code":1110,"language":1111},[1109],"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",[1113,1114,1110],"code",{"__ignoreMap":648},[440,1116,1117],{},"选模型路由（Auto 推荐）",[440,1119,1120,1121,1123],{},"提交后",[24,1122,936],{},"——任务在云端跑",[440,1125,1126],{},"完成后邮件 \u002F 站内通知",[440,1128,1129],{},"看结果 \u002F 下载交付物（Markdown \u002F Excel \u002F Word \u002F 网页）",[16,1131,1132],{"id":1132},"国内使用注意事项",[1086,1134,1135,1145,1151,1157],{},[440,1136,1137,1069,1140,1144],{},[24,1138,1139],{},"大陆访问被屏蔽",[309,1141,1143],{"href":729,"rel":1142},[313],"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",[440,1146,1147,1150],{},[24,1148,1149],{},"访问需稳定代理","：日韩 \u002F 美国节点",[440,1152,1153,1156],{},[24,1154,1155],{},"账号 \u002F 支付","：海外信用卡（Visa \u002F MasterCard），第三方代付方案有限",[440,1158,1159,1162,1163,1165,1166,1170],{},[24,1160,1161],{},"替代路径","：国内可考虑 ",[309,1164,579],{"href":578}," \u002F Devv \u002F ",[309,1167,1169],{"href":1168},"\u002Fagent\u002Fgeneral\u002Fflowith.html","元宝 Yuanbao"," \u002F 秘塔 Metaso 等",[16,1172,1173],{"id":1173},"与同类怎么选",[47,1175,1176,1200],{},[50,1177,1178],{},[53,1179,1180,1182,1184,1190,1194,1197],{},[56,1181,476],{},[56,1183,610],{},[56,1185,1186],{},[309,1187,1189],{"href":1188},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin",[56,1191,1192],{},[309,1193,579],{"href":578},[56,1195,1196],{},"ChatGPT Deep Research",[56,1198,1199],{},"GenAgent",[75,1201,1202,1222,1241,1260,1274,1291,1308,1326],{},[53,1203,1204,1207,1210,1213,1216,1219],{},[80,1205,1206],{},"核心定位",[80,1208,1209],{},"通用 Agent",[80,1211,1212],{},"AI 程序员",[80,1214,1215],{},"AI 搜索 + Agent",[80,1217,1218],{},"LLM Deep Research",[80,1220,1221],{},"通用",[53,1223,1224,1227,1230,1233,1236,1239],{},[80,1225,1226],{},"架构",[80,1228,1229],{},"多 sub-agent 并行",[80,1231,1232],{},"单 Agent + 沙盒",[80,1234,1235],{},"多模型",[80,1237,1238],{},"单模型",[80,1240,152],{},[53,1242,1243,1246,1249,1252,1255,1258],{},[80,1244,1245],{},"长任务",[80,1247,1248],{},"★★★★★ 小时级",[80,1250,1251],{},"★★★★★",[80,1253,1254],{},"★★★☆☆",[80,1256,1257],{},"★★★★☆",[80,1259,1254],{},[53,1261,1262,1264,1266,1268,1270,1272],{},[80,1263,70],{},[80,1265,1251],{},[80,1267,1254],{},[80,1269,1257],{},[80,1271,1254],{},[80,1273,1254],{},[53,1275,1276,1279,1282,1285,1287,1289],{},[80,1277,1278],{},"App Builder",[80,1280,1281],{},"⚠️ 有但 buggy",[80,1283,1284],{},"❌",[80,1286,1284],{},[80,1288,1284],{},[80,1290,1284],{},[53,1292,1293,1296,1299,1302,1304,1306],{},[80,1294,1295],{},"中文",[80,1297,1298],{},"⚠️ 大陆屏蔽",[80,1300,1301],{},"⚠️",[80,1303,1251],{},[80,1305,1301],{},[80,1307,1257],{},[53,1309,1310,1312,1315,1318,1321,1324],{},[80,1311,1007],{},[80,1313,1314],{},"$20-$200",[80,1316,1317],{},"$500\u002F月",[80,1319,1320],{},"$24.99\u002F月",[80,1322,1323],{},"随 ChatGPT Plus",[80,1325,152],{},[53,1327,1328,1331,1334,1337,1340,1343],{},[80,1329,1330],{},"适合场景",[80,1332,1333],{},"research \u002F 数据分析",[80,1335,1336],{},"写代码 \u002F 修 bug",[80,1338,1339],{},"信息检索",[80,1341,1342],{},"单次深度研究",[80,1344,1345],{},"综合",[20,1347,1348,1069],{},[24,1349,1350],{},"选 Manus 如果你",[437,1352,1353,1359,1362,1365],{},[440,1354,1355,1356],{},"重视 research \u002F 数据分析任务的 ",[24,1357,1358],{},"引用密度和结构化输出",[440,1360,1361],{},"想试\"开任务下班、明早看结果\"的工作流",[440,1363,1364],{},"海外 \u002F 能解决账号网络问题",[440,1366,1367],{},"预算 $20-$50\u002F月，重度用户",[20,1369,1370,1069],{},[24,1371,1372],{},"别选 Manus 如果你",[437,1374,1375,1384,1387,1390],{},[440,1376,1377,1378,961,1380,1383],{},"国内裸用（",[309,1379,579],{"href":578},[309,1381,1382],{"href":1168},"Yuanbao"," 更顺）",[440,1385,1386],{},"想生产部署 App（Web App Builder bug 多）",[440,1388,1389],{},"团队协作场景（功能不完善）",[440,1391,1392],{},"预算 \u003C $20\u002F月（Free 档够评估，付费档不一定划算）",[16,1394,1395],{"id":1395},"避坑清单",[437,1397,1398,1404,1414,1420,1426,1438,1444,1450],{},[440,1399,1400,1403],{},[24,1401,1402],{},"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",[440,1405,1406,1069,1409,1413],{},[24,1407,1408],{},"credit 烧得比官方页面暗示的快",[309,1410,1412],{"href":311,"rel":1411},[313],"Pick Right 2026 评测"," 真实反馈，重度用户经常额外买 credit pack",[440,1415,1416,1419],{},[24,1417,1418],{},"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",[440,1421,1422,1425],{},[24,1423,1424],{},"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",[440,1427,1428,1431,1432,1437],{},[24,1429,1430],{},"每次任务从零开始","：没有持久 workspace，不像 ",[309,1433,1436],{"href":1434,"rel":1435},"https:\u002F\u002Fclaude.com",[313],"Claude Projects"," \u002F ChatGPT Custom GPTs 能跨会话记忆",[440,1439,1440,1443],{},[24,1441,1442],{},"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",[440,1445,1446,1449],{},[24,1447,1448],{},"团队协作能力差","：单用户产品为主，无共享 workspace \u002F 评论 \u002F 审计",[440,1451,1452,1455,1456,1461],{},[24,1453,1454],{},"Meta 收购的不确定性","：Wikipedia 引用 ",[309,1457,1460],{"href":1458,"rel":1459},"https:\u002F\u002Fwww.nytimes.com\u002F2026\u002F03\u002F17\u002Ftechnology\u002Fchina-scrutiny-meta-manus.html",[313],"纽时 2026-03"," 报道，中国审查 Meta 收购案，长期路线图待观察",[16,1463,1465],{"id":1464},"适合-不适合","适合 \u002F 不适合",[20,1467,1468],{},"✅ 适合：",[437,1470,1471,1474,1477,1480,1483],{},[440,1472,1473],{},"委托多步骤 research（\"调研 X，产出 Markdown 对比表\"）",[440,1475,1476],{},"CSV \u002F Excel 重的数据分析任务",[440,1478,1479],{},"长任务 + 不想盯着看（小时级）",[440,1481,1482],{},"单兵作战的咨询顾问 \u002F 分析师 \u002F 创业者",[440,1484,1485],{},"对\"通用 Agent 体感天花板\"感兴趣的测试者",[20,1487,1488],{},"❌ 不适合：",[437,1490,1491,1494,1497,1500,1503],{},[440,1492,1493],{},"生产级应用部署",[440,1495,1496],{},"团队协作工作流",[440,1498,1499],{},"预算极敏感（free 档非常受限）",[440,1501,1502],{},"大陆稳定访问需求",[440,1504,1505,1506,1509],{},"需要深度持久上下文（用 ",[309,1507,1436],{"href":1434,"rel":1508},[313]," \u002F ChatGPT Custom GPT 等）",[16,1511,601],{"id":601},[437,1513,1514,1525,1532,1547],{},[440,1515,1516,1517,961,1519,1521,1522,1524],{},"同类对比：",[309,1518,1189],{"href":1188},[309,1520,579],{"href":578}," \u002F Elicit \u002F ",[309,1523,1382],{"href":1168}," \u002F Metaso",[440,1526,634,1527,961,1529,1531],{},[309,1528,638],{"href":637},[309,1530,641],{"href":637}," \u002F Computer Use \u002F Deep Research",[440,1533,1534,1535,961,1539,961,1543],{},"模型：",[309,1536,1538],{"href":1537},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[309,1540,1542],{"href":1541},"\u002Fmodels\u002Fclaude-opus-4.html","Claude Opus 4",[309,1544,1546],{"href":1545},"\u002Fmodels\u002Fqwen-3.html","Qwen3",[440,1548,1549,1550,961,1554],{},"进阶：",[309,1551,1553],{"href":1552},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[309,1555,1557],{"href":1556},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[16,1559,1560],{"id":1560},"来源",[437,1562,1563,1569,1572,1575],{},[440,1564,1565,1566],{},"官网：",[309,1567,672],{"href":672,"rel":1568},[313],[440,1570,1571],{},"Wikipedia：\"Manus (AI agent)\" 条目",[440,1573,1574],{},"第三方评测：pick-right.com \u002F hyzenpro.com \u002F infotech.com \u002F weforum.org",[440,1576,1577],{},"媒体报道：Reuters \u002F AP \u002F China Daily \u002F 36Kr \u002F NYT",[20,1579,1580,1581,1585],{},"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 ",[309,1582,1584],{"href":1583},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",{"title":648,"searchDepth":649,"depth":649,"links":1587},[1588,1589,1590,1598,1599,1600,1601,1602,1603,1604,1605],{"id":708,"depth":652,"text":709},{"id":754,"depth":652,"text":754},{"id":821,"depth":652,"text":821,"children":1591},[1592,1593,1594,1595,1596,1597],{"id":824,"depth":649,"text":825},{"id":847,"depth":649,"text":848},{"id":929,"depth":649,"text":930},{"id":940,"depth":649,"text":941},{"id":973,"depth":649,"text":973},{"id":979,"depth":649,"text":979},{"id":989,"depth":652,"text":989},{"id":1083,"depth":652,"text":1084},{"id":1132,"depth":652,"text":1132},{"id":1173,"depth":652,"text":1173},{"id":1395,"depth":652,"text":1395},{"id":1464,"depth":652,"text":1465},{"id":601,"depth":652,"text":601},{"id":1560,"depth":652,"text":1560},"general",4,"\u002Fimg\u002Ftools\u002Fmanus.webp","Manus 真实评测：Butterfly Effect（蝴蝶效应）出品的通用 AI Agent，多 sub-agent 并行架构 + 多模型路由（Claude \u002F Qwen \u002F 自研）。2025-03 首发即引爆，2025-12 传被 Meta 以约 20 亿美元收购。AIHO 编辑部基于官方文档与多份评测整理。",false,[1612,1613],"zh","en",{},[1616,1617,1618,1619],"claude-sonnet-4","claude-opus-4","qwen-max","manus-internal",[1621,1622,1623,1624],"生产级 Web App 部署（Web App Builder 仍有 bug）","团队协作场景（功能未完善）","需要持久工作空间 \u002F 跨会话上下文","对成本极敏感（credits 烧得快）","\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus","agent",[1628,1629,1630,1631],"web","windows","macos","linux",[1633,1636,1640,1643],{"plan":1017,"price":1020,"limit":1634,"cn_pay":152,"note":1635},"每日有限 credits，足够每天 1 个 demanding 任务","试水\u002F评估",{"plan":1028,"price":1031,"limit":1637,"cn_pay":1638,"note":1639},"更高 credit + 更长任务时长 + 多模型路由","⚠️ 需海外卡","个人主力档",{"plan":1039,"price":1042,"limit":1641,"cn_pay":1301,"note":1642},"更大 credit 池 + 优先队列","10+ 任务\u002F周",{"plan":1644,"price":1645,"limit":1646,"cn_pay":1301,"note":1647},"Pro+\u002FTeam","$200\u002F月","最大 credit + 团队工作空间（功能受限）","团队功能仍有限","Free \u002F Pro $20\u002Fmo \u002F Plus $50\u002Fmo \u002F Pro+ Team 最高 $200\u002Fmo","2026-06-18",[1651],"onboarding\u002Fmanus-getting-started",[1653,1654,1655,1656],"manus-deep-review","manus-deep-dive","autoglm-deep-review","openmanus-deep-review",{"power":1658,"ux":1658,"price":649,"cn_support":1607,"stability":649},5,{"title":610,"description":1609},"Manus AI Agent 评测 2026：通用 AI 智能体，自主完成任务，对比 Devin",[1662,1663,1664,1666,1668,1671],{"title":671,"url":672},{"title":674,"url":675},{"title":1665,"url":311},"Manus AI Review 2026 (Pick Right)",{"title":1667,"url":853},"Info-Tech Manus Assessment",{"title":1669,"url":1670},"WEF Butterfly Effect Page","https:\u002F\u002Fwww.weforum.org\u002Forganizations\u002Fbutterfly-effect",{"title":1672,"url":1673},"HyzenPro 2026 Review","https:\u002F\u002Fhyzenpro.com\u002Fblog\u002Fmanus-ai-review","tools\u002Fagent\u002Fgeneral\u002Fmanus",[1676,1677,1678,1679,1680],"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",[1683,1684,1685,1686,1687,1688],"general-agent","autonomous","computer-use","multi-agent","butterfly-effect","monica","2026-06-24","通用 Agent 体感天花板代表。多 sub-agent 并行 + 自动模型路由让 research \u002F 数据分析输出明显比 ChatGPT Deep Research 引用密度更高。慢、credit 烧得快、Web App Builder 仍有 bug，但任务跑通时确实让人惊艳。","1dOSVsQ_BSu9w2N5lqKey8yMGVvHtb5FhgIpmpQY758",{"id":1693,"title":485,"alternatives":1694,"api_compatible":664,"body":1698,"category":1606,"chinese_friendly":1607,"cover":2374,"description":2375,"domestic":681,"extension":666,"faq":2376,"free":681,"github":2389,"languages":2390,"lastVerified":667,"meta":2392,"models":664,"navigation":681,"notSuitable":664,"opensource":681,"path":2393,"pillar":1626,"platforms":2394,"priceTable":2396,"pricing":2400,"published":2401,"relatedPlaybooks":2402,"relatedReviews":2404,"score":2406,"self_host":681,"seo":2407,"seoTitle":2408,"slug":685,"sources":2409,"stem":2418,"suitable":664,"tagline":2419,"tags":2420,"updated":1689,"verdict":2426,"website":680,"__hash__":2427},"tools\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus.md",[1695,1696,1697],"agent\u002Fplatform\u002Flangflow","agent\u002Fplatform\u002Fn8n","agent\u002Fprotocol\u002Fcomposio",{"type":13,"value":1699,"toc":2362},[1700,1702,1709,1712,1715,1791,1793,1810,1814,1819,1845,1850,1876,1878,2031,2034,2040,2043,2214,2217,2277,2279,2305,2307,2327,2329,2358],[16,1701,709],{"id":708},[20,1703,1704,1705,1708],{},"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（",[1113,1706,1707],{},"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。",[20,1710,1711],{},"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）。",[16,1713,1714],{"id":1714},"核心能力",[437,1716,1717,1725,1731,1737,1743,1749,1755,1761,1767,1773,1779,1785],{},[440,1718,1719,1069,1722,1724],{},[24,1720,1721],{},"多 agent orchestration",[1113,1723,1707],{}," 编排多个专门 agent 协作",[440,1726,1727,1730],{},[24,1728,1729],{},"Playwright 浏览器自动化","：截图 + DOM 操作 + 表单填写 + 信息抓取",[440,1732,1733,1736],{},[24,1734,1735],{},"MCP 协议支持","：可调用 MCP server（filesystem \u002F GitHub \u002F Postgres）",[440,1738,1739,1742],{},[24,1740,1741],{},"DataAnalysis 模式","：内置 CSV \u002F 数据分析 agent",[440,1744,1745,1748],{},[24,1746,1747],{},"OpenManus-RL","：强化学习微调分支",[440,1750,1751,1754],{},[24,1752,1753],{},"BaseTool 自定义工具","：Python 继承基类快速添加新工具",[440,1756,1757,1760],{},[24,1758,1759],{},"多模态","：文本 + 视觉输入 + 浏览器截图回环",[440,1762,1763,1766],{},[24,1764,1765],{},"多 LLM provider","：GPT-4o \u002F Claude 3.5 \u002F Qwen VL Plus \u002F DeepSeek \u002F Gemini",[440,1768,1769,1772],{},[24,1770,1771],{},"核心 agent 引擎","：reasoning + planning + execution 三阶段",[440,1774,1775,1778],{},[24,1776,1777],{},"Web UI 监控","：实时看 AI thinking process",[440,1780,1781,1784],{},[24,1782,1783],{},"任务可视化","：步骤拆解 + 执行树",[440,1786,1787,1790],{},[24,1788,1789],{},"MIT 协议","：个人 + 商用全免费",[16,1792,1007],{"id":1007},[437,1794,1795,1801,1804,1807],{},[440,1796,1797,1800],{},[24,1798,1799],{},"Free \u002F OSS","：$0；MIT 协议",[440,1802,1803],{},"真实成本 = LLM API（GPT-4o ~$5\u002FM input + $15\u002FM output \u002F Claude \u002F Qwen 等）",[440,1805,1806],{},"一次中等任务（10-20 步）API 费用 $0.05-0.5",[440,1808,1809],{},"本地 Qwen2.5 32B \u002F DeepSeek 走 vLLM \u002F Ollama 路径 $0",[16,1811,1813],{"id":1812},"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）",[20,1815,1816],{},[24,1817,1818],{},"亮点：",[437,1820,1821,1824,1827,1830,1833,1836,1839,1842],{},[440,1822,1823],{},"52k stars 印证社区认同度 + 活跃度",[440,1825,1826],{},"MetaGPT 团队背景保证架构质量",[440,1828,1829],{},"多 agent 协作场景比单 agent 实现稳得多",[440,1831,1832],{},"Playwright 浏览器自动化非常完整",[440,1834,1835],{},"MCP 协议接入打通 Claude \u002F Cursor 生态",[440,1837,1838],{},"DataAnalysis 内置 agent 模式开箱即用",[440,1840,1841],{},"中文支持自然（Qwen VL Plus 接入）",[440,1843,1844],{},"自托管 + 数据本地，隐私 \u002F 合规友好",[20,1846,1847],{},[24,1848,1849],{},"踩坑：",[437,1851,1852,1855,1858,1861,1864,1867,1870,1873],{},[440,1853,1854],{},"项目演进快，breaking change 偶发（pin commit 跑生产）",[440,1856,1857],{},"文档滞后新功能 1-2 个月",[440,1859,1860],{},"无官方 GUI，监控 UI 在做但不完整",[440,1862,1863],{},"需要 Python 3.12+ + Playwright 依赖（首次安装 chromium 慢）",[440,1865,1866],{},"LLM API 配置非平凡（多 provider \u002F key \u002F 模型选择）",[440,1868,1869],{},"浏览器任务遇到 CAPTCHA \u002F 反爬偶尔卡死",[440,1871,1872],{},"中文 prompt 效果依赖底层模型",[440,1874,1875],{},"生产部署需自己加监控 \u002F 错误恢复 \u002F 重试",[16,1877,493],{"id":493},[1106,1879,1883],{"className":1880,"code":1881,"language":1882,"meta":648,"style":648},"language-bash shiki shiki-themes github-light github-dark","git clone https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\ncd OpenManus\npython3.12 -m venv .venv && source .venv\u002Fbin\u002Factivate  # 或 .venv\\Scripts\\activate\npip install -r requirements.txt\nplaywright install chromium\n\n# 配 LLM API\ncp config\u002Fconfig.example.toml config\u002Fconfig.toml\n# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n\n# 单 agent 模式\npython main.py\n\n# 多 agent 模式\npython run_flow.py\n","bash",[1113,1884,1885,1901,1910,1938,1952,1962,1968,1974,1986,1992,1997,2003,2012,2017,2023],{"__ignoreMap":648},[1886,1887,1890,1894,1898],"span",{"class":1888,"line":1889},"line",1,[1886,1891,1893],{"class":1892},"sScJk","git",[1886,1895,1897],{"class":1896},"sZZnC"," clone",[1886,1899,1900],{"class":1896}," https:\u002F\u002Fgithub.com\u002FFoundationAgents\u002FOpenManus.git\n",[1886,1902,1903,1907],{"class":1888,"line":652},[1886,1904,1906],{"class":1905},"sj4cs","cd",[1886,1908,1909],{"class":1896}," OpenManus\n",[1886,1911,1912,1915,1918,1921,1924,1928,1931,1934],{"class":1888,"line":649},[1886,1913,1914],{"class":1892},"python3.12",[1886,1916,1917],{"class":1905}," -m",[1886,1919,1920],{"class":1896}," venv",[1886,1922,1923],{"class":1896}," .venv",[1886,1925,1927],{"class":1926},"sVt8B"," && ",[1886,1929,1930],{"class":1905},"source",[1886,1932,1933],{"class":1896}," .venv\u002Fbin\u002Factivate",[1886,1935,1937],{"class":1936},"sJ8bj","  # 或 .venv\\Scripts\\activate\n",[1886,1939,1940,1943,1946,1949],{"class":1888,"line":1607},[1886,1941,1942],{"class":1892},"pip",[1886,1944,1945],{"class":1896}," install",[1886,1947,1948],{"class":1905}," -r",[1886,1950,1951],{"class":1896}," requirements.txt\n",[1886,1953,1954,1957,1959],{"class":1888,"line":1658},[1886,1955,1956],{"class":1892},"playwright",[1886,1958,1945],{"class":1896},[1886,1960,1961],{"class":1896}," chromium\n",[1886,1963,1965],{"class":1888,"line":1964},6,[1886,1966,1967],{"emptyLinePlaceholder":681},"\n",[1886,1969,1971],{"class":1888,"line":1970},7,[1886,1972,1973],{"class":1936},"# 配 LLM API\n",[1886,1975,1977,1980,1983],{"class":1888,"line":1976},8,[1886,1978,1979],{"class":1892},"cp",[1886,1981,1982],{"class":1896}," config\u002Fconfig.example.toml",[1886,1984,1985],{"class":1896}," config\u002Fconfig.toml\n",[1886,1987,1989],{"class":1888,"line":1988},9,[1886,1990,1991],{"class":1936},"# 编辑 config.toml 填 OPENAI \u002F ANTHROPIC \u002F DEEPSEEK key\n",[1886,1993,1995],{"class":1888,"line":1994},10,[1886,1996,1967],{"emptyLinePlaceholder":681},[1886,1998,2000],{"class":1888,"line":1999},11,[1886,2001,2002],{"class":1936},"# 单 agent 模式\n",[1886,2004,2006,2009],{"class":1888,"line":2005},12,[1886,2007,2008],{"class":1892},"python",[1886,2010,2011],{"class":1896}," main.py\n",[1886,2013,2015],{"class":1888,"line":2014},13,[1886,2016,1967],{"emptyLinePlaceholder":681},[1886,2018,2020],{"class":1888,"line":2019},14,[1886,2021,2022],{"class":1936},"# 多 agent 模式\n",[1886,2024,2026,2028],{"class":1888,"line":2025},15,[1886,2027,2008],{"class":1892},[1886,2029,2030],{"class":1896}," run_flow.py\n",[20,2032,2033],{},"试任务示例：",[1106,2035,2038],{"className":2036,"code":2037,"language":1111},[1109],"> 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",[1113,2039,2037],{"__ignoreMap":648},[16,2041,2042],{"id":2042},"对比",[47,2044,2045,2062],{},[50,2046,2047],{},[53,2048,2049,2051,2053,2056,2059],{},[56,2050,476],{},[56,2052,485],{},[56,2054,2055],{},"LangChain",[56,2057,2058],{},"AutoGPT",[56,2060,2061],{},"CrewAI",[75,2063,2064,2081,2097,2111,2127,2140,2154,2168,2185,2198],{},[53,2065,2066,2069,2072,2075,2078],{},[80,2067,2068],{},"形态",[80,2070,2071],{},"现成 agent 实现",[80,2073,2074],{},"building blocks",[80,2076,2077],{},"早期通用 agent",[80,2079,2080],{},"多 agent 框架",[53,2082,2083,2086,2089,2092,2095],{},[80,2084,2085],{},"浏览器自动化",[80,2087,2088],{},"✅ Playwright",[80,2090,2091],{},"–",[80,2093,2094],{},"部分",[80,2096,2091],{},[53,2098,2099,2102,2105,2107,2109],{},[80,2100,2101],{},"MCP",[80,2103,2104],{},"✅",[80,2106,2094],{},[80,2108,2091],{},[80,2110,2091],{},[53,2112,2113,2116,2119,2122,2124],{},[80,2114,2115],{},"多 agent",[80,2117,2118],{},"✅ orchestration",[80,2120,2121],{},"需自搭",[80,2123,1284],{},[80,2125,2126],{},"✅ 旗舰",[53,2128,2129,2132,2134,2136,2138],{},[80,2130,2131],{},"DataAnalysis 内置",[80,2133,2104],{},[80,2135,2091],{},[80,2137,2091],{},[80,2139,2091],{},[53,2141,2142,2145,2148,2150,2152],{},[80,2143,2144],{},"RL 微调",[80,2146,2147],{},"✅ OpenManus-RL",[80,2149,2091],{},[80,2151,2091],{},[80,2153,2091],{},[53,2155,2156,2159,2162,2164,2166],{},[80,2157,2158],{},"协议",[80,2160,2161],{},"MIT",[80,2163,2161],{},[80,2165,2161],{},[80,2167,2161],{},[53,2169,2170,2173,2176,2179,2182],{},[80,2171,2172],{},"Stars",[80,2174,2175],{},"52k+",[80,2177,2178],{},"100k+",[80,2180,2181],{},"170k+",[80,2183,2184],{},"30k+",[53,2186,2187,2189,2191,2194,2196],{},[80,2188,493],{},[80,2190,171],{},[80,2192,2193],{},"难",[80,2195,171],{},[80,2197,171],{},[53,2199,2200,2202,2205,2208,2211],{},[80,2201,548],{},[80,2203,2204],{},"自托管 Manus 复刻",[80,2206,2207],{},"底层 framework",[80,2209,2210],{},"学习经典",[80,2212,2213],{},"多 agent 协作",[16,2215,2216],{"id":2216},"避坑",[437,2218,2219,2225,2235,2241,2247,2253,2259,2265,2271],{},[440,2220,2221,2224],{},[24,2222,2223],{},"pin commit 用生产","：项目演进快，main 分支偶尔 break",[440,2226,2227,2230,2231,2234],{},[24,2228,2229],{},"Playwright 依赖大","：首次 ",[1113,2232,2233],{},"playwright install"," 下 chromium 慢，国内走镜像",[440,2236,2237,2240],{},[24,2238,2239],{},"LLM 选择","：日常用 GPT-4o-mini \u002F DeepSeek 省钱，复杂任务切 GPT-4o \u002F Claude Opus",[440,2242,2243,2246],{},[24,2244,2245],{},"本地化中文","：Qwen2.5 VL 32B + vLLM 部署可全本地 + 零成本",[440,2248,2249,2252],{},[24,2250,2251],{},"监控自加","：生产部署要加 prometheus + 错误重试 + 任务超时",[440,2254,2255,2258],{},[24,2256,2257],{},"浏览器反爬","：CAPTCHA 场景搭配 2captcha \u002F human-in-loop",[440,2260,2261,2264],{},[24,2262,2263],{},"OpenManus-RL 分支","：研究场景才需要，普通用户主仓库就够",[440,2266,2267,2270],{},[24,2268,2269],{},"MCP server","：信任来源很重要，能访问的目录 \u002F 工具要审慎",[440,2272,2273,2276],{},[24,2274,2275],{},"多 agent runaway","：复杂任务设 max_steps 防止失控烧 token",[16,2278,1465],{"id":1464},[437,2280,2281,2284,2287,2290,2293,2296,2299,2302],{},[440,2282,2283],{},"✅ 开发者 + 想自托管 Manus 风格 agent",[440,2285,2286],{},"✅ 研究 \u002F 学术 \u002F 教育用通用 agent 学习",[440,2288,2289],{},"✅ 隐私敏感 + 不愿数据上商业云",[440,2291,2292],{},"✅ 中国大陆开发者（Qwen \u002F DeepSeek 本地化）",[440,2294,2295],{},"❌ 非开发者 \u002F 不会 Python + Playwright",[440,2297,2298],{},"❌ 要 GUI \u002F 上手即用",[440,2300,2301],{},"❌ 生产级稳定（文档滞后 + 演进快）",[440,2303,2304],{},"❌ 团队协作 + 共享 workspace（用 Flowith \u002F Genspark Team）",[16,2306,601],{"id":601},[437,2308,2309,2315,2321],{},[440,2310,2311],{},[309,2312,2314],{"href":2313},"\u002Ftools\u002Fagent\u002Fplatform\u002Flangflow","Langflow 评测",[440,2316,2317],{},[309,2318,2320],{"href":2319},"\u002Ftools\u002Fagent\u002Fplatform\u002Fn8n","n8n 评测",[440,2322,2323],{},[309,2324,2326],{"href":2325},"\u002Ftools\u002Fagent\u002Fprotocol\u002Fcomposio","Composio 评测",[16,2328,1560],{"id":1560},[1086,2330,2331,2337,2344,2351],{},[440,2332,2333,2334],{},"OpenManus GitHub 主仓库 + Foundation Agents 组织 ",[309,2335,680],{"href":680,"rel":2336},[313],[440,2338,2339,2340],{},"Foundation Agents — OpenManus 项目介绍 ",[309,2341,2342],{"href":2342,"rel":2343},"https:\u002F\u002Ffoundationagents.org\u002Fprojects\u002Fopenmanus\u002F",[313],[440,2345,2346,2347],{},"Toolsverse — OpenManus 评测 + 52k stars ",[309,2348,2349],{"href":2349,"rel":2350},"https:\u002F\u002Fthetoolsverse.com\u002Ftools\u002Fopenmanus",[313],[440,2352,2353,2354],{},"SoloSoft.dev — OpenManus 2026 Framework 综述 ",[309,2355,2356],{"href":2356,"rel":2357},"https:\u002F\u002Fwww.solosoft.dev\u002Fpost\u002Fopenmanus-agent-framework-2026\u002F",[313],[2359,2360,2361],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":648,"searchDepth":649,"depth":649,"links":2363},[2364,2365,2366,2367,2368,2369,2370,2371,2372,2373],{"id":708,"depth":652,"text":709},{"id":1714,"depth":652,"text":1714},{"id":1007,"depth":652,"text":1007},{"id":1812,"depth":652,"text":1813},{"id":493,"depth":652,"text":493},{"id":2042,"depth":652,"text":2042},{"id":2216,"depth":652,"text":2216},{"id":1464,"depth":652,"text":1465},{"id":601,"depth":652,"text":601},{"id":1560,"depth":652,"text":1560},"\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。",[2377,2380,2383,2386],{"q":2378,"a":2379},"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":2381,"a":2382},"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":2384,"a":2385},"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":2387,"a":2388},"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。","https:\u002F\u002Fgithub.com\u002FOpenManus\u002FOpenManus",[1613,1612,2391],"multi",{},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fopenmanus",[1631,1630,1629,2395],"docker",[2397],{"plan":1799,"price":1020,"features":2398,"notes":2399},"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）","2026-06-19",[2403],"onboarding\u002Fopen-source-general-agent",[2405,1656,1654],"openhuman-deep-review",{"power":1658,"ux":649,"price":1658,"cn_support":1607,"stability":649},{"title":485,"description":2375},"OpenManus 评测 2026：MetaGPT 开源 Manus 替代，52k+ Stars",[2410,2412,2414,2416],{"name":2411,"url":680,"accessed":1689},"OpenManus GitHub（FoundationAgents 组织）",{"name":2413,"url":2342,"accessed":1689},"Foundation Agents — OpenManus 项目介绍",{"name":2415,"url":2349,"accessed":1689},"Toolsverse — OpenManus 评测 + 52k stars",{"name":2417,"url":2356,"accessed":1689},"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",[2421,1686,2422,2423,2424,2425],"opensource","browser-automation","mcp","metagpt","openmanus","想自托管复刻 Manus 全能 agent 体验 + 不愿等邀请码的开发者首选——浏览器 + 数据分析 + MCP 工具栈一站全。要 GUI \u002F 上手即用 \u002F 生产级稳定建议 Genspark \u002F Flowith 付费版。","nCO9LxlsDD1V98VL-KJ07xJWJATg-0fwAm6yh6UXXek",1785666674728]