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 Framework For Fintech
Agent S: an open agentic framework that uses computers like a human
[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
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.
A framework to enable autonomous android and computer use using any LLM (local or remote)
Desktop app powered by Claude’s computer use capability to control your computer
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.
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.
This is the official website for TuriX Computer-use-Agent
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.
Opensource benchmark evaluating web operators/agents performance
Code repo for the paper: Attacking Vision-Language Computer Agents via Pop-ups
[CVPR 2025] Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
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