{"id":6504,"date":"2025-10-23T03:08:01","date_gmt":"2025-10-23T03:08:01","guid":{"rendered":"https:\/\/www.myshirtai.com\/archives\/6504"},"modified":"2025-10-23T03:08:01","modified_gmt":"2025-10-23T03:08:01","slug":"manus%e4%b8%8eai-agent%e6%b3%a1%e6%b2%ab%ef%bc%9a%e4%bb%8e%e7%90%86%e6%83%b3%e5%88%b0%e5%b9%bb%e7%81%ad%e7%9a%84%e8%b7%9d%e7%a6%bb","status":"publish","type":"post","link":"https:\/\/www.myshirtai.com\/en\/archives\/6504","title":{"rendered":"Manus and the AI Agent Bubble: From Ideal to Disillusionment"},"content":{"rendered":"<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\"Everyone is doing Agent, but how many of you can actually think for yourself, do it for yourself, and review it for yourself?\"<br>-Agent and its Mainstream Frameworks in One Article<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u4ece-\u4e07\u80fd\u667a\u80fd\u4f53-\u5230manus\u795e\u8bdd\">From \"universal intelligence\" to the Manus myth.<\/h2>\n\n\n\n<p>In 2025, AI Agents are on fire. Startups, VCs, and giants are all touting their own \"intelligent body revolution\". In this wave, the<strong>Manus<\/strong>It has become a typical representative - it is regarded as the symbol of \"General Agent\", but also criticized by industry insiders as a sample of the bubble of \"hanging sheep's head to sell dog meat\".<\/p>\n\n\n\n<p>Manus' explosion in popularity is no accident. The article points out that its rise relies on three main foundational supports:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Core competencies<\/th><th>technological base<\/th><th>instructions<\/th><\/tr><\/thead><tbody><tr><td><strong>Enhanced modeling capabilities<\/strong><\/td><td>Large models break through planning and scheduling problems<\/td><td>The premise that Manus can plan complex tasks<\/td><\/tr><tr><td><strong>Rich toolchain<\/strong><\/td><td>MCP, browser-use, computer-use<\/td><td>Enabling AI with execution and external interface access<\/td><\/tr><tr><td><strong>Data and Memory Engineering<\/strong><\/td><td>Context Extension and RAG Technology<\/td><td>Reduced hallucinations, increased persistence and feedback<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>This transformed the Agent from a \"toy\" into a system capable of performing real-world tasks. However, the gap between the ideal and the reality soon appeared - when Manus's product function was questioned, the financing route was criticized, and even called \"engineering shell\" by peers, the bubble of AI Agent began to be burst.<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/nOxeDPQTI0eZJ3Ox.mp4\"><\/video><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u901a\u7528agent-\u7684\u5e7b\u89c9-\u529f\u80fd\u591a\u4e0d\u7b49\u4e8e\u667a\u80fd\">The Illusion of the \"Universal Agent\": Many Functions Do Not Equal Intelligence<\/h2>\n\n\n\n<p>Wang Hsien pointedly pointed out in his article:<strong>Manus' failure is not in technology, but in product direction<\/strong>The<br>Generic Agent sells itself as a \"jack of all trades\" but is not the best in any specific scenario.<\/p>\n\n\n\n<p>The key to this dilemma is that it does not break the **\"scene barrier \"**:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lack of specialized domain data and toolchain;<\/li>\n\n\n\n<li>Lack of industry certifications and deep business tie-ins;<\/li>\n\n\n\n<li>Lack of delivery closure in high-value scenarios.<\/li>\n<\/ul>\n\n\n\n<p>In other words, Manus can demonstrate the ability to \"write reports,\" \"look up information,\" and \"generate images,\" but in a real workflow, these capabilities seem to be<strong>shallow and general<\/strong>The<\/p>\n\n\n\n<p>This corroborates the definition of Agent from another article - the<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\"Agents aren't unusual, it's the ones that can think for themselves, do their own work and review their own work that are good Agents.\"<\/p>\n<\/blockquote>\n\n\n\n<p>A truly intelligent body is not stacked with features, but one that can<strong>Dynamic planning, cross-system collaboration, continuous learning and self-correction<\/strong>The<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/image-6-scaled.png\" alt=\"\" class=\"wp-image-2389\"\/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u4ece\u6846\u67b6\u5c42\u770b-agent\u7684-\u5185\u529f\u4fee\u70bc\">From the framework level: Agent's \"internal training\"<\/h2>\n\n\n\n<p>To understand why Manus-like products tend to \"idle\", we must go back to the underlying implementation framework of the Agent.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>organizing plan<\/th><th>specificities<\/th><th>typical scenario<\/th><th>Overview of strengths and weaknesses<\/th><\/tr><\/thead><tbody><tr><td><strong>AutoGPT<\/strong><\/td><td>Autonomous planning + tool invocation<\/td><td>Market research, task breakdown<\/td><td>Highly autonomous but difficult to control<\/td><\/tr><tr><td><strong>LangGraph<\/strong><\/td><td>Diagrammatic Processes + State Management<\/td><td>Multi-Agent Collaboration<\/td><td>Stable but complex to develop<\/td><\/tr><tr><td><strong>Dify<\/strong><\/td><td>Low Code + Workflow Visualization<\/td><td>Content generation, knowledge quizzes<\/td><td>Quick to get started, but not smart enough<\/td><\/tr><tr><td><strong>CrewAI<\/strong><\/td><td>Team-based Multi-Intelligence<\/td><td>Collaborative decision-making, tasking<\/td><td>Flexible but context-dependent performance<\/td><\/tr><tr><td><strong>AutoGen (Microsoft)<\/strong><\/td><td>Event-driven, multi-agent communication<\/td><td>Autonomous systems, client services<\/td><td>Highly engineered and costly<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>These frameworks reveal a fact:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>The current Agent ecology is still in the \"structural engineering\" stage, rather than the true \"intelligent autonomy stage\".<\/p>\n<\/blockquote>\n\n\n\n<p>Manus, as a representative of \"universal Agent\", is more of a secondary packaging on these frameworks, and lacks the accumulation of underlying data and workflow polishing.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/2dfc78749cc856a88888046006cc728a.png\" alt=\"\" class=\"wp-image-2382\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/cb56b5c983f3da62121504c231c109fa.png\" alt=\"\" class=\"wp-image-2383\"\/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u8bc4\u4f30\u7684\u9677\u9631-agent\u7684\u667a\u80fd\u5230\u5e95\u8be5\u600e\u4e48\u91cf\u5316\">Pitfalls of evaluation: how exactly should the intelligence of an Agent be quantified?<\/h2>\n\n\n\n<p>In \"Rigorous Agent Evaluation Is Harder Than It Looks,\" the HAL (Holistic Agent Leaderboard) team takes a look at the<strong>9 models, 9 benchmarks, 20,000 runs<\/strong>Comparisons were made and the conclusions were shocking:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\"Higher reasoning effort does not mean higher accuracy.\"<\/p>\n<\/blockquote>\n\n\n\n<p>They found out:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>21 out of 36 cases<\/strong>, high inference rather reduces accuracy;<\/li>\n\n\n\n<li><strong>Top models (e.g. GPT-5, Opus 4.1)<\/strong>Still frequent errors;<\/li>\n\n\n\n<li>Agents often choose \"shortcuts\" rather than actually solving tasks, for example:\n<ul class=\"wp-block-list\">\n<li>Search for answers directly in web tasks;<\/li>\n\n\n\n<li>Hard-coding assumptions in scientific tasks;<\/li>\n\n\n\n<li>Misbooked flights and refunded incorrect amounts in customer service tasks.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>It shows:<br><strong>Existing Agent assessment criteria are too crude.<\/strong><br>Generic accuracy metrics mask key issues such as interpretability, stability and behavioral costs.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>dimension (math.)<\/th><th>current issue<\/th><th>Ideal Assessment Method<\/th><\/tr><\/thead><tbody><tr><td>accuracy<\/td><td>High but unstable values<\/td><td>Add contextual observability<\/td><\/tr><tr><td>(manufacturing, production etc) costs<\/td><td>Token waste is serious<\/td><td>Introduction of the Pareto efficiency curve<\/td><\/tr><tr><td>Behavioral reliability<\/td><td>The problem of \"shortcuts\" is serious<\/td><td>Combining logging with process analysis (e.g. Docent)<\/td><\/tr><tr><td>generalizability<\/td><td>Large variations in performance across tasks<\/td><td>Multi-scenario distributed comparison<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>As a result, generic Agents may seem powerful at the \"presentation level\", but their behavior is highly uncontrollable and their evaluation transparency is very poor.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/image-2-scaled.png\" alt=\"\" class=\"wp-image-2384\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/image-3.png\" alt=\"\" class=\"wp-image-2385\"\/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u6ce1\u6cab\u7684\u6839\u6e90-\u8d44\u672c-\u5de5\u7a0b\u4e0e\u8010\u5fc3\">The roots of bubbles: capital, engineering and patience<\/h2>\n\n\n\n<p>Yeh hit the nail on the head in his comments:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\"Agent's fundamental flaws are in engineering, in capital, in determination.\"<\/p>\n<\/blockquote>\n\n\n\n<p>The impatience of the domestic entrepreneurial environment has led many companies to choose to \"build momentum before building things\".<br>General Agent has become the most easily packaged \"AI concept stock\":<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The technological threshold is relatively replicable;<\/li>\n\n\n\n<li>Easy for investors to understand;<\/li>\n\n\n\n<li>The Demo effect is stunning;<\/li>\n\n\n\n<li>But the landing value is limited.<\/li>\n<\/ul>\n\n\n\n<p>This has led to an influx of Manus-style projects in a short period of time - some successfully funded, some running off and dissolving.<br>In the heat of the moment and capital.<strong>AI Agent's 'Performance Narrative' Obscured by Marketing<\/strong>The<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/image-4.png\" alt=\"\" class=\"wp-image-2386\"\/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u771f\u6b63\u7684\u51fa\u8def-\u4ece\u901a\u7528\u5230\u5782\u76f4-\u4ece\u5e7b\u89c9\u5230\u786e\u5b9a\u6027\">The real way out: from generic to vertical, from illusion to certainty<\/h2>\n\n\n\n<p>Under the bubble, the industry has also taken a new direction.<br>For example, medical Agent products <strong>OpenEvidence<\/strong>, is considered a successful sample of vertical intelligences:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>design dimension<\/th><th>OpenEvidence practices<\/th><th>Comparison of Manus-style Generalized Agents<\/th><\/tr><\/thead><tbody><tr><td>user orientation<\/td><td>Serving the physician community only<\/td><td>For all<\/td><\/tr><tr><td>Data sources<\/td><td>NEJM, JAMA and other authoritative medical literature<\/td><td>Web search or user input<\/td><\/tr><tr><td>output form<\/td><td>Structured \"chain of evidence + points\"<\/td><td>Conversational text generation<\/td><\/tr><tr><td>intelligent logic<\/td><td>Workflow determinism + modeling assistance<\/td><td>Model Autonomous Decision Making<\/td><\/tr><tr><td>illusionist control<\/td><td>Citation Traceability + Manual Verification<\/td><td>Lack of citation mechanism<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>This turn reveals the direction of future Agent evolution:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong>\"Workflow + Agent\" hybrid model<\/strong> -- Pocketing uncertain intelligence with deterministic processes.<\/p>\n<\/blockquote>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/image-5.png\" alt=\"\" class=\"wp-image-2387\"\/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-manus\u4e4b\u540e-ai-agent\u4f55\u53bb\u4f55\u4ece\">After Manus, where does AI Agent go from here?<\/h2>\n\n\n\n<p>The Manus story doesn't end there; it represents an entire industry in a phase of disillusionment.<br>As several articles collectively convey the core consensus:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Agent is not a panacea, but a task-oriented system;<\/strong><\/li>\n\n\n\n<li><strong>Assessments need to return to the behavioral level and observability;<\/strong><\/li>\n\n\n\n<li><strong>The future belongs to vertically deep and data-driven intelligences.<\/strong><\/li>\n<\/ol>\n\n\n\n<p>The future of the AI Agent is not in \"flashier demos\" but in \"more stable engineering\".<br>Perhaps true intelligence is not a Manus-like \"illusion of omnipotence\".<br>Rather, it is \"dumb intelligence\" that can solve a problem to the extreme in a small area.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/10\/7f1e923e7bd51fe665ae3b7b356cd8ea.png\" alt=\"\" class=\"wp-image-2388\"\/><\/figure>\n\n\n\n<table style=\"width: 100%;border-collapse: collapse;border: 1px solid #ddd\">\n<thead>\n<tr style=\"height: 48px;background-color: #f5f5f5\">\n<th style=\"width: 50%;height: 48px;border: 1px solid #ddd;padding: 8px\">\n<h4 style=\"margin: 0\">For more products, please check out<\/h4>\n<\/th>\n<th style=\"width: 50%;height: 48px;border: 1px solid #ddd;padding: 8px\">\n<h4 style=\"margin: 0\">See more at<\/h4>\n<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"height: 63px\">\n<td style=\"width: 50%;height: 63px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/en\/\" data-linktype=\"2\">ShirtAI - Penetrating Intelligence<\/a><\/td>\n<td style=\"width: 50%;height: 63px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/en\/archives\/4425\/\" data-linktype=\"2\">The AIGC Big Model: ushering in an era of dual revolution in engineering and science - Penetrating Intelligence<\/a><\/td>\n<\/tr>\n<tr style=\"height: 61px\">\n<td style=\"width: 50%;height: 61px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/en\/\" data-linktype=\"2\">1:1 Restoration of Claude and GPT Official Website - AI Cloud Native<\/a><\/td>\n<td style=\"width: 50%;height: 61px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.bluelsqkj.com\/archives\/2876\" data-linktype=\"2\">Live Match App Global HD Sports Viewing Player (Recommended) - BlueShirt.com<\/a><\/td>\n<\/tr>\n<tr style=\"height: 54px\">\n<td style=\"width: 50%;height: 54px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/api.mygptmeta.com\/\" data-linktype=\"2\">Transit service based on official API - GPTMeta API<\/a><\/td>\n<td style=\"width: 50%;height: 54px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.zhihu.com\/question\/621055223\/answer\/3633615705\" data-linktype=\"2\">Help, can anyone of you provide some tips on how to ask questions on GPT? - Knowing<\/a><\/td>\n<\/tr>\n<tr style=\"height: 70px\">\n<td style=\"width: 50%;height: 70px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/shop.blueshirtmap.com\/\" data-linktype=\"2\">Global Virtual Goods Digital Store - Global SmarTone (Feng Ling Ge)<\/a><\/td>\n<td style=\"width: 50%;height: 70px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.bilibili.com\/video\/BV1efpneYE54\/?spm_id_from=333.1387.homepage.video_card.click\" data-linktype=\"2\">How powerful is Claude airtfacts feature that GPT instantly doesn't smell good? -BeepBeep<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"<p>Manus\u4f5c\u4e3a2025\u5e74AI Agent\u70ed\u6f6e\u7684\u4ee3\u8868\uff0c\u867d\u4f9d\u6258\u5927\u6a21\u578b\u3001\u5de5\u5177\u94fe\u4e0e\u8bb0\u5fc6\u6280\u672f\u5b9e\u73b0\u4efb\u52a1\u6267\u884c\uff0c\u4f46\u56e0\u7f3a\u4e4f\u4e13\u4e1a\u573a\u666f\u6df1\u8015\u4e0e\u95ed\u73af\u4ea4\u4ed8\uff0c\u66b4\u9732\u201c\u901a\u7528Agent\u201d\u6ce1\u6cab\u3002\u5176\u95ee\u9898\u6839\u6e90\u5728\u4e8e\u5de5\u7a0b\u79ef\u7d2f\u4e0d\u8db3\u3001\u8d44\u672c\u9a71\u52a8\u77ed\u89c6\uff0c\u5bfc\u81f4\u529f\u80fd\u5806\u780c\u5374\u667a\u80fd\u6709\u9650\u3002\u884c\u4e1a\u6b63\u8f6c\u5411\u5782\u76f4\u9886\u57df\uff0c\u5982\u533b\u5b66Agent OpenEvidence\uff0c\u5f3a\u8c03\u786e\u5b9a\u6027\u6d41\u7a0b\u4e0e\u6570\u636e\u9a71\u52a8\uff0c\u63ed\u793a\u672a\u6765\u5c5e\u4e8e\u4e13\u6ce8\u3001\u53ef\u8bc4\u4f30\u3001\u843d\u5730\u624e\u5b9e\u7684\u201c\u7b28\u667a\u80fd\u201d\u8def\u5f84\u3002<\/p>","protected":false},"author":1,"featured_media":6503,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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