{
  "markdown": "<picture>\n  <img alt=\"Agent TARS Banner\" src=\"./images/tars.png\">\n</picture>\n\n<br/>\n\n## Introduction\n\nEnglish | [简体中文](./README.zh-CN.md)\n\n[![](https://trendshift.io/api/badge/repositories/13584)](https://trendshift.io/repositories/13584)\n\n<b>TARS<sup>\\*</sup></b> is a Multimodal AI Agent stack, currently shipping two projects: [Agent TARS](#agent-tars) and [UI-TARS-desktop](#ui-tars-desktop):\n\n<table>\n  <thead>\n    <tr>\n      <th width=\"50%\" align=\"center\"><a href=\"#agent-tars\">Agent TARS</a></th>\n      <th width=\"50%\" align=\"center\"><a href=\"#ui-tars-desktop\">UI-TARS-desktop</a></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td align=\"center\">\n        <video src=\"https://github.com/user-attachments/assets/c9489936-afdc-4d12-adda-d4b90d2a869d\" width=\"50%\"></video>\n      </td>\n      <td align=\"center\">\n        <video src=\"https://github.com/user-attachments/assets/e0914ce9-ad33-494b-bdec-0c25c1b01a27\" width=\"50%\"></video>\n      </td>\n    </tr>\n    <tr>\n      <td align=\"left\">\n        <b>Agent TARS</b> is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product.\n        <br>\n        <br>\n        It primarily ships with a <a href=\"https://agent-tars.com/guide/basic/cli.html\" target=\"_blank\">CLI</a> and <a href=\"https://agent-tars.com/guide/basic/web-ui.html\" target=\"_blank\">Web UI</a> for usage.\n        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 <a href=\"https://agent-tars.com/guide/basic/mcp.html\" target=\"_blank\">MCP</a> tools.\n      </td>\n      <td align=\"left\">\n        <b>UI-TARS Desktop</b> is a desktop application that provides a native GUI Agent based on the <a href=\"https://github.com/bytedance/UI-TARS\" target=\"_blank\">UI-TARS</a> model.\n        <br>\n        <br>\n        It primarily ships a\n        <a href=\"https://github.com/bytedance/UI-TARS-desktop/blob/main/docs/quick-start.md#get-model-and-run-local-operator\" target=\"_blank\">local</a> and \n        <a href=\"https://github.com/bytedance/UI-TARS-desktop/blob/main/docs/quick-start.md#run-remote-operator\" target=\"_blank\">remote</a> computer as well as browser operators.\n      </td>\n    </tr>\n  </tbody>\n</table>\n\n## Table of Contents\n\n<!-- START doctoc generated TOC please keep comment here to allow auto update -->\n<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->\n\n- [News](#news)\n- [Agent TARS](#agent-tars)\n  - [Showcase](#showcase)\n  - [Core Features](#core-features)\n  - [Quick Start](#quick-start)\n  - [Documentation](#documentation)\n- [UI-TARS Desktop](#ui-tars-desktop)\n  - [Showcase](#showcase-1)\n  - [Features](#features)\n  - [Quick Start](#quick-start-1)\n- [Contributing](#contributing)\n- [License](#license)\n- [Citation](#citation)\n\n<!-- END doctoc generated TOC please keep comment here to allow auto update -->\n\n## News\n\n- **\\[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.\n- **\\[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.\n- **\\[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.\n- **\\[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.\n- **\\[2025-02-20\\]** - 📦 Introduced [UI TARS SDK](./docs/sdk.md), is a powerful cross-platform toolkit for building GUI automation agents.\n- **\\[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.\n\n<br>\n\n## Agent TARS\n\n<p>\n    <a href=\"https://npmjs.com/package/@agent-tars/cli?activeTab=readme\"><img src=\"https://img.shields.io/npm/v/@agent-tars/cli?style=for-the-badge&colorA=1a1a2e&colorB=3B82F6&logo=npm&logoColor=white\" alt=\"npm version\" /></a>\n    <a href=\"https://npmcharts.com/compare/@agent-tars/cli?minimal=true\"><img src=\"https://img.shields.io/npm/dm/@agent-tars/cli.svg?style=for-the-badge&colorA=1a1a2e&colorB=0EA5E9&logo=npm&logoColor=white\" alt=\"downloads\" /></a>\n    <a href=\"https://nodejs.org/en/about/previous-releases\"><img src=\"https://img.shields.io/node/v/@agent-tars/cli.svg?style=for-the-badge&colorA=1a1a2e&colorB=06B6D4&logo=node.js&logoColor=white\" alt=\"node version\"></a>\n    <a href=\"https://discord.gg/HnKcSBgTVx\"><img src=\"https://img.shields.io/badge/Discord-Join%20Community-5865F2?style=for-the-badge&logo=discord&logoColor=white\" alt=\"Discord Community\" /></a>\n    <a href=\"https://twitter.com/agent_tars\"><img src=\"https://img.shields.io/badge/Twitter-Follow%20%40agent__tars-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white\" alt=\"Official Twitter\" /></a>\n    <a href=\"https://applink.larkoffice.com/client/chat/chatter/add_by_link?link_token=deen76f4-ea3c-4964-93a3-78f126f39651\"><img src=\"https://img.shields.io/badge/飞书群-加入交流群-00D4AA?style=for-the-badge&logo=lark&logoColor=white\" alt=\"飞书交流群\" /></a>\n    <a href=\"https://deepwiki.com/bytedance/UI-TARS-desktop\"><img src=\"https://img.shields.io/badge/DeepWiki-Ask%20AI-8B5CF6?style=for-the-badge&logo=gitbook&logoColor=white\" alt=\"Ask DeepWiki\" /></a>\n</p>\n\n<b>Agent TARS</b> is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product. <br> <br>\nIt primarily ships with a <a href=\"https://agent-tars.com/guide/basic/cli.html\" target=\"_blank\">CLI</a> and <a href=\"https://agent-tars.com/guide/basic/web-ui.html\" target=\"_blank\">Web UI</a> for usage.\nIt 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 <a href=\"https://agent-tars.com/guide/basic/mcp.html\" target=\"_blank\">MCP</a> tools.\n\n### Showcase\n\n```\nPlease 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\n```\n\nhttps://github.com/user-attachments/assets/772b0eef-aef7-4ab9-8cb0-9611820539d8\n\n<br>\n\n<table>\n  <thead>\n    <tr>\n      <th width=\"50%\" align=\"center\">Booking Hotel</th>\n      <th width=\"50%\" align=\"center\">Generate Chart with extra MCP Servers</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td align=\"center\">\n        <video src=\"https://github.com/user-attachments/assets/c9489936-afdc-4d12-adda-d4b90d2a869d\" width=\"50%\"></video>\n      </td>\n      <td align=\"center\">\n        <video src=\"https://github.com/user-attachments/assets/a9fd72d0-01bb-4233-aa27-ca95194bbce9\" width=\"50%\"></video>\n      </td>\n    </tr>\n    <tr>\n      <td align=\"left\">\n        <b>Instruction:</b> <i>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</i>\n      </td>\n      <td align=\"left\">\n        <b>Instruction:</b> <i>Draw me a chart of Hangzhou's weather for one month</i>\n      </td>\n    </tr>\n  </tbody>\n</table>\n\nFor more use cases, please check out [#842](https://github.com/bytedance/UI-TARS-desktop/issues/842).\n\n### Core Features\n\n- 🖱️ **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).\n- 🌐 **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.\n- 🔄 **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).\n- 🧰 **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.\n\n### Quick Start\n\n<img alt=\"Agent TARS CLI\" src=\"https://agent-tars.com/agent-tars-cli.png\">\n\n```bash\n# Launch with `npx`.\nnpx @agent-tars/cli@latest\n\n# Install globally, required Node.js >= 22\nnpm install @agent-tars/cli@latest -g\n\n# Run with your preferred model provider\nagent-tars --provider volcengine --model doubao-1-5-thinking-vision-pro-250428 --apiKey your-api-key\nagent-tars --provider anthropic --model claude-3-7-sonnet-latest --apiKey your-api-key\n```\n\nVisit the comprehensive [Quick Start](https://agent-tars.com/guide/get-started/quick-start.html) guide for detailed setup instructions.\n\n### Documentation\n\n> 🌟 **Explore Agent TARS Universe** 🌟\n\n<table>\n  <thead>\n    <tr>\n      <th width=\"20%\" align=\"center\">Category</th>\n      <th width=\"30%\" align=\"center\">Resource Link</th>\n      <th width=\"50%\" align=\"left\">Description</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td align=\"center\">🏠 <strong>Central Hub</strong></td>\n      <td align=\"center\">\n        <a href=\"https://agent-tars.com\">\n          <img src=\"https://img.shields.io/badge/Visit-Website-4F46E5?style=for-the-badge&logo=globe&logoColor=white\" alt=\"Website\" />\n        </a>\n      </td>\n      <td align=\"left\">Your gateway to Agent TARS ecosystem</td>\n    </tr>\n      <tr>\n      <td align=\"center\">📚 <strong>Quick Start</strong></td>\n      <td align=\"center\">\n        <a href=\"https://agent-tars.com/guide/get-started/quick-start.html\">\n          <img src=\"https://img.shields.io/badge/Get-Started-06B6D4?style=for-the-badge&logo=rocket&logoColor=white\" alt=\"Quick Start\" />\n        </a>\n      </td>\n      <td align=\"left\">Zero to hero in 5 minutes</td>\n    </tr>\n    <tr>\n      <td align=\"center\">🚀 <strong>What's New</strong></td>\n      <td align=\"center\">\n        <a href=\"https://agent-tars.com/beta\">\n          <img src=\"https://img.shields.io/badge/Read-Blog-F59E0B?style=for-the-badge&logo=rss&logoColor=white\" alt=\"Blog\" />\n        </a>\n      </td>\n      <td align=\"left\">Discover cutting-edge features & vision</td>\n    </tr>\n    <tr>\n      <td align=\"center\">🛠️ <strong>Developer Zone</strong></td>\n      <td align=\"center\">\n        <a href=\"https://agent-tars.com/guide/get-started/introduction.html\">\n          <img src=\"https://img.shields.io/badge/View-Docs-10B981?style=for-the-badge&logo=gitbook&logoColor=white\" alt=\"Docs\" />\n        </a>\n      </td>\n      <td align=\"left\">Master every command & features</td>\n    </tr>\n    <tr>\n      <td align=\"center\">🎯 <strong>Showcase</strong></td>\n      <td align=\"center\">\n        <a href=\"https://github.com/bytedance/UI-TARS-desktop/issues/842\">\n          <img src=\"https://img.shields.io/badge/View-Examples-8B5CF6?style=for-the-badge&logo=github&logoColor=white\" alt=\"Examples\" />\n        </a>\n      </td>\n      <td align=\"left\">View use cases built by the official and community</td>\n    </tr>\n    <tr>\n      <td align=\"center\">🔧 <strong>Reference</strong></td>\n      <td align=\"center\">\n        <a href=\"https://agent-tars.com/api/\">\n          <img src=\"https://img.shields.io/badge/API-Reference-EF4444?style=for-the-badge&logo=book&logoColor=white\" alt=\"API\" />\n        </a>\n      </td>\n      <td align=\"left\">Complete technical reference</td>\n    </tr>\n  </tbody>\n</table>\n\n<br/>\n<br/>\n<br/>\n\n## UI-TARS Desktop\n\n<p align=\"center\">\n  <img alt=\"UI-TARS\" width=\"260\" src=\"./apps/ui-tars/resources/icon.png\">\n</p>\n\nUI-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.\n\n<div align=\"center\">\n<p>\n        &nbsp&nbsp 📑 <a href=\"https://arxiv.org/abs/2501.12326\">Paper</a> &nbsp&nbsp\n        | 🤗 <a href=\"https://huggingface.co/ByteDance-Seed/UI-TARS-1.5-7B\">Hugging Face Models</a>&nbsp&nbsp\n        | &nbsp&nbsp🫨 <a href=\"https://discord.gg/pTXwYVjfcs\">Discord</a>&nbsp&nbsp\n        | &nbsp&nbsp🤖 <a href=\"https://www.modelscope.cn/collections/UI-TARS-bccb56fa1ef640\">ModelScope</a>&nbsp&nbsp\n<br>\n🖥️ Desktop Application &nbsp&nbsp\n| &nbsp&nbsp 👓 <a href=\"https://github.com/web-infra-dev/midscene\">Midscene (use in browser)</a> &nbsp&nbsp\n</p>\n\n</div>\n\n### Showcase\n\n<!-- // FIXME: Choose only two demo, one local computer and one remote computer showcase. -->\n\n|                                                          Instruction                                                           |                                                Local Operator                                                |                                               Remote Operator                                                |\n| :----------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------: |\n| Please help me open the autosave feature of VS Code and delay AutoSave operations for 500 milliseconds in the VS Code setting. | <video src=\"https://github.com/user-attachments/assets/e0914ce9-ad33-494b-bdec-0c25c1b01a27\" height=\"300\" /> | <video src=\"https://github.com/user-attachments/assets/01e49b69-7070-46c8-b3e3-2aaaaec71800\" height=\"300\" /> |\n|                    Could you help me check the latest open issue of the UI-TARS-Desktop project on GitHub?                     | <video src=\"https://github.com/user-attachments/assets/3d159f54-d24a-4268-96c0-e149607e9199\" height=\"300\" /> | <video src=\"https://github.com/user-attachments/assets/072fb72d-7394-4bfa-95f5-4736e29f7e58\" height=\"300\" /> |\n\n### Features\n\n- 🤖 Natural language control powered by Vision-Language Model\n- 🖥️ Screenshot and visual recognition support\n- 🎯 Precise mouse and keyboard control\n- 💻 Cross-platform support (Windows/MacOS/Browser)\n- 🔄 Real-time feedback and status display\n- 🔐 Private and secure - fully local processing\n\n### Quick Start\n\nSee [Quick Start](./docs/quick-start.md)\n\n## Contributing\n\nSee [CONTRIBUTING.md](./CONTRIBUTING.md).\n\n## License\n\nThis project is licensed under the Apache License 2.0.\n\n## Citation\n\nIf you find our paper and code useful in your research, please consider giving a star :star: and citation :pencil:\n\n```BibTeX\n@article{qin2025ui,\n  title={UI-TARS: Pioneering Automated GUI Interaction with Native Agents},\n  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},\n  journal={arXiv preprint arXiv:2501.12326},\n  year={2025}\n}\n```\n",
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