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UI-TARS-desktop

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

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83/ 100

公开评测 · 综合采用结论

证据充分,整体质量与安全表现优秀

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39.2kstars
4.0kforks
最近更新 6天前
评测生成时间(北京时间)
本报告引擎
v3.9.0
当前引擎
v3.16.0

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Evaluation report

综合采用结论

83
B
满分 100
值得推荐低风险
决策摘要

证据充分,整体质量与安全表现优秀

94%
高置信度
80
文档
100
安全
72
质量
90
活跃
70
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+19/257,658 个去重后的有效字符
  • 独立证据来源+20/205 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核
How it works · 时序图

Agent TARS 与用户和MCP工具交互流程

README展示了用户通过CLI/Web UI发起指令,Agent TARS调用MCP工具和模型,并返回结果,存在请求和响应关系。

AI 提取 · 证据约束

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Agent TARS 与用户和MCP工具交互流程README展示了用户通过CLI/Web UI发起指令,Agent TARS调用MCP工具和模型,并返回结果,存在请求和响应关系。用户发起指令CLI/Web UI交互界面Agent TARS核心代理MCP工具外部工具输入指令传递指令调用工具返回结果输出结果展示结果
图示依据
  • • Quick Start: npx @agent-tars/cli@latest 启动CLI
  • • Core Features: MCP Integration - 支持挂载MCP Servers连接真实世界工具
  • • Showcase: 用户指令如'帮我订机票',Agent执行并返回结果
五维表现
多模态AI Agent栈,提供CLI和桌面应用,解决真实GUI自动化问题。价值有示例和命令验证,但README缺少限制、错误处理和权限边界说明,设计证据不足。
质量证据
  • Quick Start: npx @agent-tars/cli@latest 和 agent-tars --provider volcengine --model doubao-1-5-thinking-vision-pro-250428 --apiKey your-api-key
  • Core Features: MCP Integration - The kernel is built on MCP and also supports mounting MCP Servers
  • Showcase: 订机票、订酒店、生成图表等视频示例
  • License: Apache License 2.0
  • Features: 跨平台支持(Windows/MacOS/Browser)
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 未发现已知高风险模式
关注点
  • 缺少限制、权限或边界
  • 缺少错误处理或排障
  • README未提及限制、权限或数据边界
  • 缺少错误处理和排障指南
  • 设计细节(如安全默认值)未在README中展示
适合

需要GUI自动化和视觉理解的开发者、希望集成MCP工具构建Agent的用户、需要跨平台桌面GUI代理的场景、快速通过CLI启动多模态Agent的团队

不建议直接用于

需要严格权限控制和数据边界的企业环境、需要详细错误处理和排障文档的运维场景

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
80/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
低风险
未发现已知高风险模式

静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。

优先改进清单
  1. 01补充限制、权限或边界
  2. 02补充错误处理或排障
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

25 个文件 · 46,616 字符

评测引擎

v3.9.0 · AI 复核已启用(deepseek-chat)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量

30 天热度趋势

README

Agent TARS Banner

Introduction

English | 简体中文

TARS* is a Multimodal AI Agent stack, currently shipping two projects: Agent TARS and UI-TARS-desktop:

Agent TARSUI-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

  • [2025-11-05] 🎉 We're excited to announce the release of Agent TARS CLI 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 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, 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 for improved performance and precise control.
  • [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.

Agent TARS

npm version downloads node version Discord Community Official Twitter 飞书交流群 Ask DeepWiki

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 HotelGenerate 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.

Core Features

  • 🖱️ One-Click Out-of-the-box CLI - Supports both headful Web UI and headless server execution.
  • 🌐 Hybrid Browser Agent - Control browsers using GUI Agent, DOM, or a hybrid strategy.
  • 🔄 Event Stream - Protocol-driven Event Stream drives Context Engineering and Agent UI.
  • 🧰 MCP Integration - The kernel is built on MCP and also supports mounting MCP Servers to connect to real-world tools.

Quick Start

Agent TARS CLI
# 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.

Documentation

🌟 Explore Agent TARS Universe 🌟

CategoryResource LinkDescription
🏠 Central Hub Website Your gateway to Agent TARS ecosystem
📚 Quick Start Quick Start Zero to hero in 5 minutes
🚀 What's New Blog Discover cutting-edge features & vision
🛠️ Developer Zone Docs Master every command & features
🎯 Showcase Examples View use cases built by the official and community
🔧 Reference API Complete technical reference



UI-TARS Desktop

UI-TARS

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)   

Showcase

InstructionLocal OperatorRemote 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

Contributing

See 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:

@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}
}