OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks represents a cutting-edge platform developed by Tianbao Xie and a team of specialists. It targets the elevation of autonomous agents’ capabilities to address versatile tasks across various operating systems.

• First-of-its-kind environment for multimodal agents’ benchmarking.
• Supports task execution and evaluation in diverse operating systems like Ubuntu, Windows, and macOS.
• Can significantly affect human-computer interaction paradigms through comprehensive benchmarking of open-ended tasks.

By providing a real-worldlike, interactive setting, OSWorld aims to advance the training and assessment of AI systems, tackling the complexity and variability of the tasks that mirror everyday computer usage.