Files
wehub-resource-sync 1a390b2815
Scorecard supply-chain security / Scorecard analysis (push) Failing after 1s
/ test (push) Failing after 0s
secretlint / Run secretlint to diff files (push) Failing after 1s
UI-TARS E2E Test / E2E (macos-13) (push) Has been cancelled
UI-TARS E2E Test / E2E (macos-latest) (push) Has been cancelled
UI-TARS E2E Test / E2E (windows-latest) (push) Has been cancelled
CI Test, Typecheck / Test & Typecheck (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 12:08:49 +08:00
..

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
Send a twitter with the content "hello world"

News

  • [2025-04-17] - 🎉 We're excited to announce support for UI-TARS-1.5, featuring enhanced performance, precise control, and expanded scenario coverage (using computer and browser as operators). Now compatible with multiple models: UI-TARS-1.0, UI-TARS-1.5, and Doubao-1.5-UI-TARS!
  • [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}
}