Agent TARS
Officially listedOpen-source desktop GUI automation AI agent from ByteDance that controls computers via natural language.
Agent TARS
Agent TARS (UI-TARS Desktop) is a multimodal AI agent tech stack open-sourced by ByteDance in 2025 that can control a computer through natural language and perform GUI automation tasks. It beats GPT-4o and Claude on 10+ GUI benchmarks with a 95% browser task success rate, and is built for developers, researchers, and privacy-conscious users.
Core Capabilities
- Natural language control: Operate the computer conversationally, simulating human workflows to complete complex multi-step tasks
- Visual recognition and precise operation: Screenshot analysis plus element recognition to automatically execute mouse and keyboard actions
- Multiple run modes: Three operation modes — local computer, remote computer, and headless browser
- Cross-platform support: Unified interface on Windows and macOS, TypeScript tech stack
- MCP ecosystem integration: Supports Model Context Protocol to connect real-world tools and services
- Privacy-first design: Fully local processing keeps data from leaving the local environment
Use Cases Flight and hotel booking automation, bulk GitHub issue processing, application configuration management, and data visualization generation. Suited to AI agent developers, RPA automation engineers, researchers, technical teams that want self-hosting, and privacy-conscious enterprises needing local deployment.
Unique Advantages Unlike GPT-4o and Claude, which require paid API access, Agent TARS is fully open source with stronger performance. It offers 2B, 7B, and 72B size options, is trained on 50B tokens, and reaches SOTA in perception, reasoning, grounding, and overall agent capability. The Apache 2.0 license supports commercial use, and 23.5k GitHub stars attest to an active community.
Editor's Recommendation This is the most notable open-source AI agent project of 2025. VentureBeat confirmed it beats the commercial giants' products, Product Hunt users praise the natural language control experience, and professional reviews show a 95% browser task success rate. If you are looking for an open-source, high-performance, privacy-friendly GUI agent solution, Agent TARS is the top pick. One caveat: the project is new (released 2025), so long-term stability needs continued observation.
Pricing
### 💰 定价模式：完全免费（开源） **起步价**：免费 #### 主要方案 - **开源版本**：$0 - Apache 2.0 许可证，完整功能，支持本地部署和商业使用 - **模型规模**：提供 2B、7B、72B 三种参数版本，可根据计算资源选择 #### 试用/其他信息 无使用限制，无隐藏费用。企业可能需要承担实施和集成的相关成本。
FAQ
Is Agent TARS free?
Completely free. Agent TARS uses the Apache 2.0 open-source license and is free for both personal and commercial use, with no usage fees or hidden costs.
What are Agent TARS's main features?
Core features include natural language computer control, visual recognition and element location, precise mouse and keyboard automation, cross-platform support (Windows/macOS), MCP protocol integration, and local and remote operation modes.
How does Agent TARS perform compared with GPT-4o and Claude?
According to VentureBeat, Agent TARS consistently outperforms GPT-4o, Claude, and Gemini on 10+ GUI benchmarks, with a 95% browser task success rate.
Which platforms does Agent TARS support?
It supports the Windows and macOS desktop platforms with a unified interface. The tech stack is based on TypeScript and Node.js (requires version >= 22).
Who is Agent TARS suitable for?
AI agent developers, RPA automation engineers, researchers, privacy-conscious enterprises, open-source enthusiasts, and technical teams that need a self-hosted GUI automation solution.
What model sizes does Agent TARS offer?
It provides 2B, 7B, and 72B parameter versions, trained on roughly 50B tokens. Users can choose the right version based on compute resources and performance needs.