cua and Computer-Use-Agent
The open-source infrastructure providing sandboxes and SDKs for training computer-use agents (A) serves as the foundational platform that a specific agent implementation (B) would build upon or be evaluated against.
About cua
trycua/cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
This project helps AI developers build, evaluate, and deploy intelligent agents capable of controlling an entire desktop environment, whether macOS, Linux, or Windows. It provides the tools to program agents that can "see" screens, click buttons, and execute code within isolated virtual machines or containers. The output is a robust, tested AI agent that can perform complex computer tasks autonomously. It's ideal for AI researchers and developers working on agentic AI.
About Computer-Use-Agent
Codeeaner/Computer-Use-Agent
An AI Agent that is able to control your screen to complste any task
This tool helps Windows users automate repetitive or complex computer tasks by giving commands in plain language. It takes your instructions and a live view of your screen, then simulates mouse clicks and keyboard inputs to achieve the task. Anyone who frequently performs step-by-step tasks on their computer, such as data entry, application setup, or routine web browsing, would find this useful.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work