Core Insights - The article discusses the emergence of "Vibe Coding," a programming approach that emphasizes creative collaboration with AI, highlighting the rapid growth of AI unicorns like Lovable and DeepWisdom's success in this space [2][3]. Group 1: Company Overview - DeepWisdom, a Shenzhen-based company, has gained recognition for its open-source projects, including MetaGPT, which has nearly 60k stars on GitHub [4]. - The company's product, MetaGPT-X (MGX), launched in February 2025, achieved 500,000 global registered users and an annual recurring revenue (ARR) of $1 million within a month of its release [4][22]. - As of September 2025, MGX maintained a monthly visit count of 1.2 million, generating over 10,000 applications daily [5][6]. Group 2: Funding and Growth - DeepWisdom secured approximately 220 million yuan in funding during the first half of 2025 from notable investors, including Ant Group and Baidu Ventures [7]. - The company aims to create a complete commercial AI coding tool that provides users with a full business loop, moving beyond mere academic pursuits [8][9]. Group 3: Product Development and Features - The newly launched product, Atoms, is designed to be a comprehensive solution for users, integrating backend systems, databases, user authentication, and payment systems, allowing for the rapid deployment of fully operational websites [10][11]. - Atoms is reported to achieve over 45% effectiveness compared to competitors at only 20% of the cost, making it a cost-effective option for users [10][25]. Group 4: Market Position and Strategy - DeepWisdom's strategy includes a focus on high efficiency and flexibility, with plans to expand its team from 80 to 100-120 members by the end of 2025 [33]. - The company emphasizes the importance of a larger team size in the competitive AI landscape, countering the trend of "one-person" or "ten-person" startups [30][33]. Group 5: Research and Development - DeepWisdom has submitted nine papers to top conferences like NeurIPS, with three selected for oral presentations, showcasing its commitment to academic research [18]. - The company believes that continuous academic accumulation and breakthroughs are essential for achieving explosive success in AI development [8][9]. Group 6: User Engagement and Community - The company has successfully built a community around its open-source projects, leading to significant user engagement and feedback, which informs product development [21][22]. - A notable user story includes a Canadian mechanic who developed a 2D robot battle game using Atoms, demonstrating the platform's accessibility for non-programmers [27].

atoms.dev 创始人吴承霖表示： " 我们过去在开源和学术研究中验证了多智能体系统在复杂任务中的可行性，但真正困难的，是让这些系统能够在真实商 业环境中长期稳定运行。 atoms.dev 想做的，是把创业本身转化为一套可工程化、可规模化的系统能力， 让一个人也能拥有一个完整、可运行的创业团 队 。 " atoms.dev 由 DeepWisdom 推出，其核心目标并非提升单点编码效率，而是让 AI 能够以团队的形式， 直接构建、上线并长期运营真实业务 。通过将创业 过程系统化、工程化， atoms.dev 显著降低了从想法到可运行业务之间的边际成本，使个人与小团队也能够拥有完整的创业执行能力，让 Vibe Coding 升 级为 Vibe Business 。 在产品化之前， atoms.dev 建立在长期的多智能体研究与工程实践之上。团队先后开源了 MetaGPT 、 OpenManus 等多智能体系统，在全球开发者社区 中获得广泛应用与验证， 累计获得超过 15 万 GitHub Star 。相关研究成果发表于 ICLR 、 NeurIPS 、 ACL 等国际顶级学术会议，为其商业化提供了可 复现、 ...

Core Insights - The article discusses the emergence of AI-driven coding tools, particularly focusing on the concept of "Vibe Coding" introduced by Andrej Karpathy, which emphasizes programming through dialogue with AI rather than traditional coding methods [5][6] - DeepWisdom, a Shenzhen-based company, has emerged as a significant player in this space, with its product MetaGPT-X achieving rapid user growth and revenue generation [9][10][11] Group 1: Company Overview - DeepWisdom has developed several notable open-source projects, including MetaGPT, which has garnered nearly 60,000 stars on GitHub, and OpenManus, which was replicated in just three hours by a small team [8][9] - The company’s latest product, MetaGPT-X, launched in February 2025, achieved 500,000 registered users and an annual recurring revenue (ARR) of $1 million within a month of its release [9][10] - As of September 2025, MetaGPT-X maintained a monthly visit count of 1.2 million, generating over 10,000 applications daily [10][11] Group 2: Funding and Growth - DeepWisdom secured approximately 220 million yuan in funding during the first half of 2025 from notable investors including Ant Group and Baidu Ventures [12] - The company initially focused on academic research rather than commercialization, fostering a culture of continuous learning and innovation among its team members [13][14] Group 3: Product Development and Features - The newly launched product, Atoms, is designed to provide a complete operational website within five minutes, integrating features like user authentication and payment systems, which distinguishes it from competitors [15][19] - Atoms utilizes a multi-agent framework that allows for comprehensive product development processes, including market research, requirement definition, and data analysis [19][28] - The product aims to address common criticisms of AI coding tools being mere "toys" by enabling end-to-end functionality and profitability for users [17][18] Group 4: Competitive Landscape - Atoms is positioned as a high-cost performance alternative to competitors like Lovable and Replit, achieving superior results at a lower cost [15][38] - The article highlights the competitive nature of the AI coding market, where many products fail to deliver fully functional solutions, thus creating a gap that Atoms aims to fill [17][18] Group 5: Organizational Insights - DeepWisdom's CEO emphasizes the importance of team size and management in the competitive AI landscape, arguing that larger teams may have advantages over smaller ones in terms of productivity and innovation [44][50] - The company has adopted a unique organizational structure that encourages cross-functional collaboration and minimizes communication costs, which is critical for maintaining efficiency [51][56] - DeepWisdom is expanding its team and plans to establish an office in Silicon Valley to attract diverse talent and enhance its competitive edge [57]

以下文章来源于CSDN ，作者万有引力 CSDN . 成就一亿技术人 作者 | 万有引力 出品 | CSDN（ID：CSDNnews） 当 Manus 以其惊艳的自主任务执行能力点燃 AI Agent 领域的热潮时，其"一码难求"的现 状也让众多开发者望而却步。几乎在同时，一个名为 OpenManus 的开源项目以"火箭 般"的速度问世，不仅成功复刻了核心功能，更以完全开放的姿态，在短短不到一个月的时 间内于 GitHub 吸引了超过四万 Star 数的关注（截止本文发布，项目 Star 数已经达到 42.2k）。 OpenManus 项目 Star 数 这一现象背后，站着一群充满活力的 00 后程序员。他们利用下班后的短短三小时，凭借对 技术的热爱与开源精神，迅速将一个想法变成了现实。这种惊人的执行力与纯粹的"Just for Fun"动机，引发了业界的广泛讨论：这一代年轻开发者是如何学习、成长并拥抱前沿技 术的？他们与 AI 工具的深度协作达到了何种程度？支撑他们快速行动的技术积累和开源理 念又是什么？OpenManus 的诞生仅仅是复刻吗？其技术内核与未来方向又将如何演进？ 梁新兵 ： 向劲宇 ： Op ...

2025 年 3 月全球 AI 重要趋势。 文 丨 贺乾明 2025 年 3 月的 AI 月报，我们开始尝试一种新形式：和知乎一起举办 "AI 脑暴" 线下活动，围绕每月 一个热门 AI 主题，邀请相关学界研究者、业界从业者（研发或技术人员）、投资人等一起做闭门圆 桌讨论。 3 月 30 日，第一期 AI 脑暴举行，主题是 Agent，我们邀请 6 位嘉宾参加，他们来自高校、互联网公 司和非营利 AI 研究机构。本期月报中，我们摘录了部分 AI 脑暴中的讨论。 本期月报，你会看到： 为什么开发 Agent 简单，但做好很难 AI 脑暴活动中 "壳重要还是模型重要" 部分讨论要点 以下是我们第 5 期 AI 月报，欢迎大家在留言区补充我们没有提到的重要趋势。 开发 Agent 简单，让它好用难 3 月初，通用 Agent 产品 Manus 上线第二天，就被复刻出两个开源版本——OpenManus、OWL。 OpenManus 甚至只用 4 个人，花 3 个小时。 这种 "速成" 似乎暗示：做 Agent 没那么难。但从实际体验和系统复杂度来看，让 Agent "真正好用" 仍存在挑战。 大模型公司 Anthro ...

更意想不到的是， 推动 OpenManus 诞生的核心开发者，竟是一群 00 后 ！ 这些年轻的程序员 完全出于兴趣和热爱 ，利用自己的时间写代码，探索 AI 的更多可能，只为让智 能体工具触手可及。 没有 KPI，没有商业利益驱动， 只有纯粹的技术信仰——Just for Fun 。 本月初， Manus 横空出世，迅速爆火！它凭借云端自主执行、多智能体协同、持续学习与记忆等核 心能力，无需过多的人工干预，就能直接交付完整的成果，也可以灵活调用各类工具，不仅能 写代 码、查资料、智能浏览网页 ，还能 操作各类应用 ，俨然一位"全能选手"。 因此，Manus 被不少人称之为"全球首个通用 AI 智能体"，瞬间点燃了 AI 圈众人的热情。无数开发 者看到 Manus 的惊艳 Demo 后迫不及待想要体验。然而， 邀请码成了最稀缺的"硬通货" ，一码难 求，让许多人望而兴叹。 也就在 此时，国 内专注于多智能体系统的技术公司 DeepWisdom 的 MetaGPT 团队迅速行动， 复 刻 Manus 并开源，推出了 OpenManus，直接把门槛打了下来—— 无需邀请码，所有人都能免费 用！ 同时，从复刻到上线 ...

Core Insights - DeepWisdom has completed a financing round of over 100 million yuan, with its product mgx.dev achieving a remarkable 1 million USD ARR in its first month without any promotional expenses [1] - The product has topped the Product Hunt global rankings for four consecutive weeks, showcasing its strong market reception [1] - The company is currently undergoing another round of financing, with Xinghan Capital serving as the exclusive financial advisor [1] Group 1: Product Development and Innovation - MGX (MetaGPT X) aims to solve the productization issues of MetaGPT, focusing on natural language programming [3][23] - The development of OpenManus was accomplished by a small team of four recent graduates in a remarkably short time, highlighting the effectiveness of their academic cycle [3][14] - The architecture of MGX consists of three layers: an operating system, an integrated development environment (IDE), and application production and distribution [24][25] Group 2: Academic Cycle and Team Dynamics - The concept of an academic cycle is crucial for innovation, allowing every team member to contribute incrementally to the organization's progress [10][12] - The success of organizations like OpenAI and ByteDance is attributed to their ability to foster an academic cycle, which encourages continuous contribution and improvement [10][12] - The team culture at DeepWisdom emphasizes transparency and autonomy, allowing members to take initiative and encouraging a trial-and-error approach to innovation [41][51] Group 3: Market Trends and Future Directions - The growth rate of MGX's ARR is claimed to be the fastest in Chinese history, indicating a strong market demand for its solutions [45] - The future of mobile interfaces may shift towards AI-generated applications, moving away from fixed applications [28] - The company aims to redefine programming paradigms by enabling users to generate code through natural language, positioning itself as a potential universal problem solver [23][29] Group 4: Challenges and Management Philosophy - The management philosophy at DeepWisdom is characterized by a lack of hierarchical titles, promoting a flat organizational structure where decisions are made collaboratively [48] - The company faces challenges in resource allocation and team bandwidth, necessitating ongoing optimization of its operations [55] - The emphasis on critical thinking and the absence of ego in discussions are key to fostering a productive team environment [51]

4 月 18-19 日，由 CSDN&Boolan 联合举办的 2025 全球机器学习技术大会（ML-Summit 2025）将在上海虹桥西郊庄园丽笙大酒店隆重举行。大会 云集院士、顶尖学者、IEEE Fellow、一线科技企业技术实战专家组成的超 50 位重磅嘉宾。他们将以独特的视角，解读智能体、联邦学习、多模态大 模型、强化学习等覆盖 AI 当下热门的技术实践专题。 在大会首日下午的「AI 智能体」专题论坛上，来自 DeepWisdom 算法研究 员、OpenManus 项目一作，MetaGPT 开源核心贡献者梁新兵将带来 《通用 Agent 的构建与赋能：OpenManus 的实践与探索》分享。 梁新兵是 DeepWisdom 算法研究员，华东师范大学硕士。他不仅是 OpenManus 项目一作，同时也是论文 Data Interpreter /Self-Supervised Prompt Optimization 作者之一。如今，他正以其在智能体领域的丰富经验和 对开源的满腔热情，不断探索通用 Agent 的构建与赋能。 3 小时复刻传奇：OpenManus 背后的极速行动 作为 MetaGPT 开源 ...

Core Viewpoint - The article discusses the rapid development and popularity of the intelligent agent sector, particularly highlighting the impact of the Manus product and the emergence of open-source projects like OWL and OpenManus, which have sparked a wave of innovation and competition in the field [1][2][3]. Group 1: Manus and Its Impact - Manus has significantly influenced the intelligent agent landscape, leading to a surge in both open-source and commercial closed-source products [1]. - The official social media account of Manus faced a temporary ban but has since resumed, promising more demonstrations and updates [12]. - Manus has gained traction internationally, with strategies such as distributing invitation codes to influencers and users [13][14]. Group 2: Open-Source Projects - The OWL project, developed by the CAMEL-AI team, has integrated the DeepSeek model into a multi-agent collaboration framework, showcasing its capabilities [3][4]. - OWL achieved an average score of 58.18 in the GAIA benchmark, ranking first among open-source projects [5][6]. - The CAMEL-AI team expressed confidence in improving their scores in the GAIA benchmark, despite some gaps in Level 2 and Level 3 scores compared to competitors [7]. Group 3: GAIA Benchmark - The GAIA benchmark, created by Meta AI, Hugging Face, and AutoGPT teams, consists of over 450 complex questions designed to evaluate the capabilities of intelligent agent systems [24][25]. - The benchmark is divided into three levels of difficulty, with Level 1 requiring simple problem-solving and Level 3 demanding advanced capabilities [26][27]. - Manus scored 57.7% in Level 3, significantly outperforming other systems, while its Level 2 score was close to that of commercial systems [28][29]. Group 4: User Experiences and Market Trends - Users have reported high satisfaction with Manus, noting its ability to accurately gather personal information and perform complex tasks [18][19][20]. - The willingness to pay for Manus is higher among international users compared to domestic ones, as it offers a more affordable alternative to other high-end AI solutions [17]. - The article highlights a growing interest in agent-related projects on platforms like GitHub, indicating a trend towards the development of specialized intelligent agents in various fields [8][9].