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：我们提出了UFO，一种创新性的UI聚焦智能体，用于满足Windows操作系统上针对应用程序的用户请求，并充分利用了GPT-Vision的能力。UFO采用双智能体框架，细致观察并分析Windows应用程序的图形用户界面（GUI）和控制信息。这使得智能体能够在单个应用程序内部及跨应用程序之间无缝导航和操作，即便涉及多个应用程序，也能满足用户请求。该框架包含一个控制交互模块，无需人工干预即可实现动作落地，支持全自动执行。因此，UFO将繁重且耗时的过程转化为仅通过自然语言命令即可完成的简单任务。我们在9个流行Windows应用程序中对UFO进行了测试，涵盖了反映用户日常使用的多种场景。基于定量指标和实际案例研究的结果均突显了UFO在满足用户请求方面的卓越有效性。据我们所知，UFO是首个专为Windows操作系统环境下任务完成而设计的UI智能体。UFO的开源代码可在 https://github.com/microsoft/UFO 获取。