UI-TARS Desktop

Created By

bytedancea year ago

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

# electron

# agent

Overview Content Comments

Content

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 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.

Showcases

Instruction	Video
Please help me open the autosave feature of VS Code and delay AutoSave operations for 500 milliseconds in the VS Code setting.
Could you help me check the latest open issue of the UI-TARS-Desktop project on GitHub?

News

[2025-04-17] - 🎉 We're thrilled to announce the release of new UI-TARS Desktop application v0.1.0, featuring a redesigned Agent UI. The application enhances the computer using experience, introduces new browser operation features, and supports the advanced UI-TARS-1.5 model for improved performance and precise control.
[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/Browser)
🔄 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 :star: and citation :pencil:

@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}
}

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