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“跑路”争议之外,Manus这半年产品做怎么样了
创业邦·2025-07-12 11:02

Core Viewpoint - The article discusses the emergence and evolution of Manus, a new AI Agent product that aims to bridge the gap between conceptualization and execution in AI tasks, gaining significant attention in the tech industry [5][6][7]. Company Developments - Manus was launched in March 2025 and quickly completed a $75 million Series B funding round led by Benchmark [8]. - The company relocated its headquarters from Beijing to Singapore in June 2025, with plans to open offices in California and Tokyo, partly to navigate the complex global investment landscape [11][12]. - The team underwent restructuring, with around 40 core technical staff moving to Singapore and the remaining 120 in China facing layoffs [13][14]. Product Features and Philosophy - Manus aims to provide a more interactive AI experience by allowing users to see the entire process of AI task execution, rather than just receiving final answers [17]. - The product's design resembles a micro-project team that can autonomously plan, execute, and verify tasks, addressing user concerns about task complexity and execution speed [18][21]. - Manus operates under the philosophy of "less structure, more intelligence," focusing on integrating existing top-tier foundational models rather than developing its own [22]. User Experience and Iterations - Initial user feedback indicated challenges with task assignment and slow performance, prompting Manus to introduce a free chat mode and a template library called Playbook to simplify usage [21]. - The product has evolved to include various templates for tasks like personalized fitness plans and presentation generation, making it more accessible to everyday users [27][38]. - Manus demonstrated its capabilities by successfully executing complex tasks, such as generating a personalized fitness plan and creating a PowerPoint presentation [35][46]. Competitive Landscape and Challenges - Manus faces significant competition from established players like OpenAI and Google, as well as numerous agile startups in the AI Agent space [87]. - The article highlights the ongoing debate about Manus's competitive edge, suggesting that its success may depend more on understanding user needs and rapid product iteration than on technological superiority alone [85][88].