Skip to content

A GUI Agent application based on UI-TARS(Vision-Lanuage Model) that allows you to control your computer using natural language.

License

Notifications You must be signed in to change notification settings

bytedance/UI-TARS-desktop

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Important

[2025-03-18] We released a technical preview version of a new desktop app - Agent TARS, a multimodal AI agent that leverages browser operations by visually interpreting web pages and seamlessly integrating with command lines and file systems.

UI-TARS

UI-TARS Desktop

UI-TARS Desktop is a GUI Agent application based on UI-TARS (Vision-Language Model) that allows you to control your computer using natural language.

   📑 Paper    | 🤗 Hugging Face Models   |   🫨 Discord   |   🤖 ModelScope  
🖥️ Desktop Application    |    👓 Midscene (use in browser)

Showcases

Instruction Video
Get the current weather in SF using the web browser
new_mac_action_weather.mp4
Send a twitter with the content "hello world"
new_send_twitter_windows.mp4

News

  • [2025-02-20] - 📦 Introduced UI TARS SDK, is a powerful cross-platform toolkit for building GUI automation agents.
  • [2025-01-23] - 🚀 We updated the Cloud Deployment section in the 中文版: GUI模型部署教程 with new information related to the ModelScope platform. You can now use the ModelScope platform for deployment.

Features

  • 🤖 Natural language control powered by Vision-Language Model
  • 🖥️ Screenshot and visual recognition support
  • 🎯 Precise mouse and keyboard control
  • 💻 Cross-platform support (Windows/MacOS)
  • 🔄 Real-time feedback and status display
  • 🔐 Private and secure - fully local processing

Quick Start

See Quick Start.

Deployment

See Deployment.

Contributing

See CONTRIBUTING.md.

SDK (Experimental)

See @ui-tars/sdk

License

UI-TARS Desktop is licensed under the Apache License 2.0.

Citation

If you find our paper and code useful in your research, please consider giving a star ⭐ and citation 📝

@article{qin2025ui,
  title={UI-TARS: Pioneering Automated GUI Interaction with Native Agents},
  author={Qin, Yujia and Ye, Yining and Fang, Junjie and Wang, Haoming and Liang, Shihao and Tian, Shizuo and Zhang, Junda and Li, Jiahao and Li, Yunxin and Huang, Shijue and others},
  journal={arXiv preprint arXiv:2501.12326},
  year={2025}
}