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).

Agent S: an open agentic framework that uses computers like a human

Agent Framework For Fintech and Banks

Fara-7B: An Efficient Agentic Model for Computer Use

AI computer use powered by open source LLMs and E2B Desktop Sandbox

[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.

Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

An open-sourced end-to-end VLM-based GUI Agent

This is the official website for TuriX Computer-use-Agent

A fork of Anthropic Computer Use that you can run on Mac computers to give Claude and other AI models autonomous access to your computer.

Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.

CUGA is an open-source generalist agent for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features.

A framework to enable autonomous android and computer use using any LLM (local or remote)

The only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App

A general AI agent framework that can be adapted to various tasks and environments.

AI controls your OS. OS AI Computer Use, OS and API agnostic. For now on Anthropic (Claude) API. Desktop app ready.

MCP server that provides computer control capabilities, like mouse, keyboard, OCR, etc. using PyAutoGUI, RapidOCR, ONNXRuntime. Similar to 'computer-use' by Anthropic. With Zero External Dependencies.

Official repo of "MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents". It can be used to evaluate a GUI agent with a hierarchical manner across multiple platforms, including Windows, Linux, macOS, iOS, Android and Web.

Code repo for the paper: Attacking Vision-Language Computer Agents via Pop-ups

Opensource benchmark evaluating web operators/agents performance