GUI-R1 - AI Vision Models Tool

Overview

GUI-R1 is an open-source, generalist R1-style vision-language action model for building GUI agents. According to the project's GitHub repository (https://github.com/ritzz-ai/GUI-R1), the project focuses on endowing agents with the ability to perceive graphical user interfaces and perform actions based on natural language instructions. It leverages reinforcement learning and policy optimization to learn control strategies that can operate across multiple platforms, including Windows, Linux, macOS, Android, and Web. The repository positions GUI-R1 as a cross-platform solution for automating and interacting with GUIs by combining visual understanding with action policies. Typical uses include task automation driven by language prompts, GUI testing, and multimodal agent research where the agent must translate language goals into concrete click, drag, text-entry, or navigation actions. For detailed architecture, datasets, and training specifics, consult the project's README and code examples in the GitHub repository.

Installation

Install via docker:

git clone https://github.com/ritzz-ai/GUI-R1.git
cd GUI-R1
docker build -t gui-r1 .
docker run --rm -it gui-r1

Key Features

  • Vision-language action model that maps visual GUI inputs and language instructions to actions
  • Reinforcement learning and policy optimization for improving interactive control policies
  • Cross-platform support aimed at Windows, Linux, macOS, Android, and Web GUIs
  • Designed specifically for GUI agents that perform clicks, navigation, and text entry
  • Open-source codebase hosted on GitHub for inspection and community contribution

Community

GUI-R1 is published as an open-source project on GitHub (see repository link). Current activity, contributors, and community feedback should be checked directly on the repository’s Issues, Pull Requests, and Discussions pages. The README and repository history will have the most recent updates, examples, and contribution guidelines.

Last Refreshed: 2026-01-09

Key Information

  • Category: Vision Models
  • Type: AI Vision Models Tool