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聚焦智能体，利用GPT-Vision的能力，专门针对Windows操作系统上的应用程序满足用户请求。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）及控件信息，使智能体能够无缝地在单个应用内部及跨应用之间导航和操作以完成用户请求，甚至横跨多个应用程序。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落地，支持全自动化执行。由此，UFO将艰巨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种主流Windows应用程序上对UFO进行了测试，涵盖反映用户日常使用的多种场景。基于量化指标和实际案例研究的结果，均凸显了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操作系统环境内任务完成而设计的UI智能体。UFO的开源代码详见https://github.com/microsoft/UFO。