UI-TARS Desktop

What is UI-TARS Desktop?

UI-TARS Desktop is a GUI Agent application based on the UI-TARS Vision-Language Model that lets you control your computer using natural language. It runs on Windows, macOS, and browser environments and is designed for users who want to automate graphical user interface tasks through language commands.

How to use UI-TARS Desktop?

Refer to the Quick Start guide and Deployment documentation provided in the repository for setup instructions. The application processes input locally to ensure privacy and security.

Key features of UI-TARS Desktop

• Natural language control powered by a 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

Use cases of UI-TARS Desktop

• Open VS Code settings and configure autosave parameters via natural language
• Check the latest open issue on a GitHub project
• Perform any GUI-based computer task by describing it in plain language

FAQ from UI-TARS Desktop

What is UI-TARS Desktop and how does it differ from other GUI automation tools?

UI-TARS Desktop is a desktop application that interprets natural language to control the computer through visual recognition and direct mouse/keyboard actions, leveraging the UI-TARS vision-language model for enhanced accuracy.

Which platforms and models are supported?

The application supports Windows, macOS, and browser environments. It incorporates the UI-TARS-1.5 model for improved performance and precise control.

Does UI-TARS Desktop support custom MCP servers?

The README does not mention MCP server support.

Is UI-TARS Desktop free and what is its license?

The application is licensed under Apache License 2.0; no pricing information is provided in the README.

Are there any known limitations or restrictions?

The README does not list specific limitations, but notes that the application is in a technical preview stage and focuses on local processing for privacy.