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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
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
A research prototype of a human-centered web agent
Fara-7B: An Efficient Agentic Model for Computer Use
This is the official website for TuriX Computer-use-Agent
Autonomous Agents (LLMs) research papers. Updated Daily.
OpenCUA: Open Foundations for Computer-Use Agents
A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026
State of the Art 82% OSWorld Verified Computer Using Agent, fully open-source, safe, auditable, and production-ready.
EvoCUA: Evolving Computer Use Agent
Official implementation of "SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"
LLM-in-Sandbox: From Coding Agent to General Agent
AI controls your OS. OS AI Computer Use, OS and API agnostic. For now on OpenAI and Anthropic API. Desktop app ready.
[ICLR 2026] Code, benchmark and environment for "ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows"
[NeurIPS 2025] Official repository of RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
[AAAI 2026]Release of code, datasets and model for our work TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents
DART-GUI: Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
A Swift library for macOS automation — mouse, keyboard, screenshots, image recognition, and AI-powered agents.
OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents [NeurIPS 2025 Spotlight]
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