Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
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Oct 28, 2026 - Rust
Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
Agent S: the state-of-the-art open source computer use agents
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
MagenticLite is an experimental agent that works across the browser and local file system
Fara1.5 – A family of frontier computer use agent models
This is the official website for TuriX Computer-use-Agent
👾 Open Computer Use – Open-Source Alternative to Codex Computer Use
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.
UI-Venus is a general-purpose foundation GUI agent for mobile apps, web platforms, and desktop operating systems using only screenshots as input.
Surf is a computer use AI agent powered by OpenAI that interacts with a E2B's virtual desktop environment through natural language instructions
One Computer Use agent for everything (macOS, Windows, Linux, Browser, iOS & Code).
Enable AI to control your desktop, mobile and HMI devices
Accessibility-first browser & computer use for AI agents — one MCP server for every harness (Codex, Claude Code, OpenCode, Antigravity). Instruments the DOM/accessibility tree via CDP instead of screenshot loops: diffed snapshots, stable element refs, trusted input, typed errors. Zero dependencies
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
Stop AI agents from doing things you didn't ask for.
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
[NeurIPS 2025] Official repository of RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
[ECCV 2026] Official Repository for "DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents"
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