This is a foundational utility server that exposes arbitrary shell command execution through the MCP protocol. It's part of ByteDance's Agent TARS stack, which combines GUI automation with multimodal AI agents. You'd reach for this when building agent workflows that need to interact with the local system, run scripts, manipulate files, or invoke CLI tools. The server supports stdio, SSE, and streamable HTTP transports, giving you flexibility in how you wire it into your agent architecture. It's particularly relevant if you're building on the TARS ecosystem, which already demonstrates booking flights, managing browser sessions, and generating charts by chaining multiple MCP servers together. The package ships from the ui-tars-desktop monorepo under the @agent-infra namespace. Treat this as a power tool: unrestricted command execution requires careful sandboxing and permission design.
English | 简体中文
TARS* is a Multimodal AI Agent stack, currently shipping two projects: Agent TARS and UI-TARS-desktop:
| Agent TARS | UI-TARS-desktop |
|---|---|
|
Agent TARS is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product.
It primarily ships with a CLI and Web UI for usage. It aims to provide a workflow that is closer to human-like task completion through cutting-edge multimodal LLMs and seamless integration with various real-world MCP tools. |
UI-TARS Desktop is a desktop application that provides a native GUI Agent based on the UI-TARS model.
It primarily ships a local and remote computer as well as browser operators. |
Agent TARS is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product.
It primarily ships with a CLI and Web UI for usage.
It aims to provide a workflow that is closer to human-like task completion through cutting-edge multimodal LLMs and seamless integration with various real-world MCP tools.
Please help me book the earliest flight from San Jose to New York on September 1st and the last return flight on September 6th on Priceline
https://github.com/user-attachments/assets/772b0eef-aef7-4ab9-8cb0-9611820539d8
| Booking Hotel | Generate Chart with extra MCP Servers |
|---|---|
| Instruction: I am in Los Angeles from September 1st to September 6th, with a budget of $5,000. Please help me book a Ritz-Carlton hotel closest to the airport on booking.com and compile a transportation guide for me | Instruction: Draw me a chart of Hangzhou's weather for one month |
For more use cases, please check out #842.
# Launch with `npx`.
npx @agent-tars/cli@latest
# Install globally, required Node.js >= 22
npm install @agent-tars/cli@latest -g
# Run with your preferred model provider
agent-tars --provider volcengine --model doubao-1-5-thinking-vision-pro-250428 --apiKey your-api-key
agent-tars --provider anthropic --model claude-3-7-sonnet-latest --apiKey your-api-key
Visit the comprehensive Quick Start guide for detailed setup instructions.
🌟 Explore Agent TARS Universe 🌟
UI-TARS Desktop is a native GUI agent for your local computer, driven by UI-TARS and Seed-1.5-VL/1.6 series models.
📑 Paper
| 🤗 Hugging Face Models
| 🫨 Discord
| 🤖 ModelScope
🖥️ Desktop Application
| 👓 Midscene (use in browser)
| Instruction | Local Operator | Remote Operator |
|---|---|---|
| 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? |
See Quick Start
See CONTRIBUTING.md.
This project is licensed under the Apache License 2.0.
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}
}