We introduce UFO, an innovative UI-Focused agent to fulfill user requests tailored to applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a dual-agent framework to meticulously observe and analyze the graphical user interface (GUI) and control information of Windows applications. This enables the agent to seamlessly navigate and operate within individual applications and across them to fulfill user requests, even when spanning multiple applications. The framework incorporates a control interaction module, facilitating action grounding without human intervention and enabling fully automated execution. Consequently, UFO transforms arduous and time-consuming processes into simple tasks achievable solely through natural language commands. We conducted testing of UFO across 9 popular Windows applications, encompassing a variety of scenarios reflective of users' daily usage. The results, derived from both quantitative metrics and real-case studies, underscore the superior effectiveness of UFO in fulfilling user requests. To the best of our knowledge, UFO stands as the first UI agent specifically tailored for task completion within the Windows OS environment. The open-source code for UFO is available on https://github.com/microsoft/UFO.

翻译：我们提出 UFO，一种创新的 UI 聚焦型智能体，通过利用 GPT-Vision 的能力来满足用户在 Windows 操作系统上针对特定应用的需求。UFO 采用双智能体框架，细致观察和分析 Windows 应用的图形用户界面（GUI）及控件信息，使智能体能够在单个应用内部及跨应用之间无缝导航与操作，即便涉及多个应用也能完成用户请求。该框架包含一个控件交互模块，可在无需人工干预的情况下实现动作接地（action grounding），支持全自动执行。因此，UFO 将繁琐耗时的流程简化为仅需自然语言指令即可完成的简单任务。我们在 9 款流行 Windows 应用上对 UFO 进行了测试，涵盖反映用户日常使用的多种场景。基于定量指标和实际案例的研究结果均表明，UFO 在满足用户请求方面具有卓越的有效性。据我们所知，UFO 是首个专为 Windows 操作系统环境中的任务完成而设计的 UI 智能体。UFO 的开源代码可在 https://github.com/microsoft/UFO 获取。