# UI TARS Desktop > The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra - **Type:** MCP server - **Install:** `agentstack add mcp-bytedance-ui-tars-desktop` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [bytedance](https://agentstack.voostack.com/s/bytedance) - **Installs:** 0 - **Category:** [Web & Browser](https://agentstack.voostack.com/c/web-and-browser) - **Latest version:** 0.1.0 - **License:** Apache-2.0 - **Upstream author:** [bytedance](https://github.com/bytedance) - **Source:** https://github.com/bytedance/UI-TARS-desktop - **Website:** https://agent-tars.com ## Install ```sh agentstack add mcp-bytedance-ui-tars-desktop ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About ## Introduction English | [简体中文](./README.zh-CN.md) [](https://trendshift.io/repositories/13584) TARS\* is a Multimodal AI Agent stack, currently shipping two projects: [Agent TARS](#agent-tars) and [UI-TARS-desktop](#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. ## Table of Contents - [News](#news) - [Agent TARS](#agent-tars) - [Showcase](#showcase) - [Core Features](#core-features) - [Quick Start](#quick-start) - [Documentation](#documentation) - [UI-TARS Desktop](#ui-tars-desktop) - [Showcase](#showcase-1) - [Features](#features) - [Quick Start](#quick-start-1) - [Contributing](#contributing) - [License](#license) - [Citation](#citation) ## News - **\[2025-11-05\]** 🎉 We're excited to announce the release of [Agent TARS CLI v0.3.0](https://github.com/bytedance/UI-TARS-desktop/releases/tag/v0.3.0)! This version brings streaming support for multiple tools (shell commands, multi-file structured display), runtime settings with timing statistics for tool calls and deep thinking, Event Stream Viewer for data flow tracking and debugging. Additionally, it features exclusive support for [AIO agent Sandbox](https://github.com/agent-infra/sandbox) as isolated all-in-one tools execution environment. - **\[2025-06-25\]** We released an Agent TARS Beta and Agent TARS CLI - [Introducing Agent TARS Beta](https://agent-tars.com/blog/2025-06-25-introducing-agent-tars-beta.html), a multimodal AI agent that aims to explore a work form that is closer to human-like task completion through rich multimodal capabilities (such as GUI Agent, Vision) and seamless integration with various real-world tools. - **\[2025-06-12\]** - 🎁 We are thrilled to announce the release of UI-TARS Desktop v0.2.0! This update introduces two powerful new features: **Remote Computer Operator** and **Remote Browser Operator**—both completely free. No configuration required: simply click to remotely control any computer or browser, and experience a new level of convenience and intelligence. - **\[2025-04-17\]** - 🎉 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](https://seed-tars.com/1.5) for improved performance and precise control. - **\[2025-02-20\]** - 📦 Introduced [UI TARS SDK](./docs/sdk.md), is a powerful cross-platform toolkit for building GUI automation agents. - **\[2025-01-23\]** - 🚀 We updated the **[Cloud Deployment](./docs/deployment.md#cloud-deployment)** section in the 中文版: [GUI模型部署教程](https://bytedance.sg.larkoffice.com/docx/TCcudYwyIox5vyxiSDLlgIsTgWf#U94rdCxzBoJMLex38NPlHL21gNb) with new information related to the ModelScope platform. You can now use the ModelScope platform for deployment. ## Agent TARS 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. ### Showcase ``` 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](https://github.com/bytedance/UI-TARS-desktop/issues/842). ### Core Features - 🖱️ **One-Click Out-of-the-box CLI** - Supports both **headful** [Web UI](https://agent-tars.com/guide/basic/web-ui.html) and **headless** [server](https://agent-tars.com/guide/advanced/server.html) [execution](https://agent-tars.com/guide/basic/cli.html). - 🌐 **Hybrid Browser Agent** - Control browsers using [GUI Agent](https://agent-tars.com/guide/basic/browser.html#visual-grounding), [DOM](https://agent-tars.com/guide/basic/browser.html#dom), or a hybrid strategy. - 🔄 **Event Stream** - Protocol-driven Event Stream drives [Context Engineering](https://agent-tars.com/beta#context-engineering) and [Agent UI](https://agent-tars.com/blog/2025-06-25-introducing-agent-tars-beta.html#easy-to-build-applications). - 🧰 **MCP Integration** - The kernel is built on MCP and also supports mounting [MCP Servers](https://agent-tars.com/guide/basic/mcp.html) to connect to real-world tools. ### Quick Start ```bash # 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](https://agent-tars.com/guide/get-started/quick-start.html) guide for detailed setup instructions. ### Documentation > 🌟 **Explore Agent TARS Universe** 🌟 Category Resource Link Description 🏠 Central Hub Your gateway to Agent TARS ecosystem 📚 Quick Start Zero to hero in 5 minutes 🚀 What's New Discover cutting-edge features & vision 🛠️ Developer Zone Master every command & features 🎯 Showcase View use cases built by the official and community 🔧 Reference Complete technical reference ## UI-TARS Desktop UI-TARS Desktop is a native GUI agent for your local computer, driven by [UI-TARS](https://github.com/bytedance/UI-TARS) and Seed-1.5-VL/1.6 series models.    📑 Paper    | 🤗 Hugging Face Models   |   🫨 Discord   |   🤖 ModelScope   🖥️ Desktop Application    |    👓 Midscene (use in browser)    ### Showcase | 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? | | | ### 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](./docs/quick-start.md) ## Contributing See [CONTRIBUTING.md](./CONTRIBUTING.md). ## License This project 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: ```BibTeX @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} } ``` ## Source & license This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [bytedance](https://github.com/bytedance) - **Source:** [bytedance/UI-TARS-desktop](https://github.com/bytedance/UI-TARS-desktop) - **License:** Apache-2.0 - **Homepage:** https://agent-tars.com Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/mcp-bytedance-ui-tars-desktop - Seller: https://agentstack.voostack.com/s/bytedance - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.