The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
This is the official website for TuriX Computer-use-Agent
[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.
MAI-UI: Real-World Centric Foundation GUI Agents ranging from 2B to 235B
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
An open-sourced end-to-end VLM-based GUI Agent
OpenGUI is an Android GUI agent framework for phone-use AI that can see, plan, and operate real mobile apps through the GUI.
RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios
This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use" (ACL 2025 Oral).
[ICML-2026] Official implementation of "SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
MobileUse: an open-source mobile GUI agent for Android phone automation, AndroidWorld/AndroidLab evaluation, hierarchical reflection, and proactive exploration.
[AAAI-2026] Code for "UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning"
WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces
[AAAI 2026 Oral] Official repository for InfiGUI-G1. We introduce Adaptive Exploration Policy Optimization (AEPO) to overcome semantic alignment bottlenecks in GUI agents through efficient, guided exploration.
Enable AI to control your PC. This repo includes the WorldGUI Benchmark and GUI-Thinker Agent Framework.
[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
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.
DART-GUI: Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation