字节开源GUI Agent登顶GitHub热榜，豆包手机核心技术突破26k Star

Core Insights - The article highlights the success of ByteDance's self-developed technology, specifically the GUI Agent model UI-TARS, which has topped GitHub's trending list and surpassed 26k stars, outperforming OpenAI's official Skills [1][3]. Group 1: Technology Overview - UI-TARS is a multi-modal AI agent that can perform complex operations on various software through natural language commands, mimicking human interactions with screens [5][9]. - The core logic of UI-TARS is "purely vision-driven," allowing the AI to observe screens like a human eye, enabling it to operate regardless of whether APIs are available or interfaces are complex [11][12]. - The technology includes two main projects: Agent TARS, which operates in both web UI and server environments, and UI-TARS-desktop, a desktop application for local computer and browser operations [6][8]. Group 2: Development and Evolution - UI-TARS aims to equip agents with four key capabilities: perception, action, reasoning, and memory [21]. - The project began a year ago and has evolved significantly, with the initial version leveraging 6 million high-quality tutorial data to enhance its deep thinking capabilities [20][24]. - Subsequent iterations, such as UI-TARS-1.5 and UI-TARS-2, have improved the agent's performance, addressing data bottlenecks and enhancing its ability to integrate various functionalities [26][28]. Group 3: Market Impact and Future Prospects - The article notes that UI-TARS has become one of the most popular open-source multi-modal agents, with significant attention from industry leaders [30]. - The technology is positioned to revolutionize how AI interacts with users, as highlighted by industry figures who predict that products like UI-TARS will significantly impact the market by 2025 [32][34]. - The article concludes by emphasizing the potential of GUI agents to bridge the gap between AI capabilities and human tasks, suggesting a transformative effect on productivity and efficiency [37][38].