The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

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).

AI-powered, vision-driven UI automation for every platform.

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.

RobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar

Build autonomous AI agents in Python.

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

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

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

Ui.Vision Open-Source RPA Software with Computer Vision, OCR, Anthropic Computer Use/LLM. Selenium IDE import/export.

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

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

Open-source AI agent desktop app for Windows & macOS. One-click install Claude Code, MCP tools, and Skills — with sandbox isolation, multi-model support, and Feishu/Slack integration.

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

Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.

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

👾 Open Computer Use – Open-Source Alternative to Codex Computer Use

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.