Automation & Agents · Computer-use agents
OS-World benchmark is an evaluation framework designed to test and measure the capabilities of AI agents that interact with computer operating systems. It provides a standardized environment for assessing how well autonomous agents can perform real-world tasks across different operating systems, including executing commands, navigating file systems, and managing applications. The benchmark targets researchers and developers working on computer-use agents who need reliable metrics to compare different approaches and track progress in building AI systems that can operate computers like human users.
The benchmark is offered as a free resource, making it accessible to academic institutions and open-source projects exploring agent capabilities. A concrete use-case involves testing whether an AI agent can successfully complete a multi-step workflow such as downloading a file, extracting its contents, modifying a document, and uploading the result to a cloud service—all while navigating through actual operating system interfaces. This allows developers to identify specific weaknesses in their agents' reasoning, tool-use, or error-recovery capabilities before deploying them in production environments.
Free / open source tool