UI-TARS-desktop
GitHub describes it as The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra. The repository metadata lists TypeScript as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
bytedance/UI-TARS-desktop: Introduction
GitHub describes it as The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra. The repository metadata lists TypeScript as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
Repository scope
GitHub describes it as The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra. The repository metadata lists TypeScript as its primary language. The metadata lists the Apache-2.0 license. The README describes the project this way: TARS \ is a Multimodal AI Agent stack, currently shipping two projects: Agent TARS and UI-TARS-desktop:
Introduction
The README section "Introduction" states: 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.
News
The README section "News" states: - \[2025-11-05\] 🎉 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
The README section "Agent TARS" states: 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.
Editorial conclusion
The repository README is the source for this review. It does not replace a local installation or an independent test.
Community notes