@berryxia: Bros! Don't reinvent the wheel—just use this 31.4K-star open-source project! ByteDance has open-sourced UI-TARS-desktop. Taking a quick look, the project has been live for nearly a year! It currently has 31.4k stars, and its growth rate is quite steady. 24-hour growth...

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open-source desktop-agent gui-automation bytedance multimodal local-inference

Summary

ByteDance open-sourced UI-TARS-desktop, a native desktop GUI agent with 31.4k GitHub stars that uses vision models to control local or remote applications via natural language. The tool runs locally for privacy, supports Windows and macOS, and includes a CLI with streaming output for developers.

Bros! Don't reinvent the wheel—just use this 31.4K-star open-source project to get things done! ByteDance has open-sourced UI-TARS-desktop. Glancing at it, the project has been live for nearly a year! It currently boasts 31.4k stars, and its growth momentum is quite steady, even topping the 24-hour growth leaderboard! This is a native desktop GUI agent. You simply install it on your computer, and you can then direct it to operate various applications using natural language. The core mechanism relies on taking screenshots and using vision models to understand the current screen state, thereby precisely controlling the mouse and keyboard. Imagine telling it, "Help me open VS Code and turn on auto-save," or "Go check this issue on GitHub." It will autonomously screenshot, recognize the interface, click buttons, and input text. The entire process runs locally, so no data is transmitted externally, giving you full control over your privacy. It supports both Windows and macOS and can operate within browsers. It can control not only your local machine but also remote computers and operates in browser mode. The project includes an SDK, making it very convenient for developers to build their own automation tools based on it. Recently, they updated to v0.3.0, and the CLI version is more mature, featuring streaming output and timing statistics, making it much smoother to use. Those interested can head straight to the repository to check the quick-start documentation and get local operations running in just a few steps. It feels like we now have another solid and reliable option on the path of local desktop agents. Original project: https://github.com/bytedance/UI-TARS-desktop... Those who want to try it out can give the repository a star to show your support.
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📑 Paper | 🤗 Hugging Face Models | 🫨 Discord | 🤖 ModelScope 🖥️ Desktop Application | 👓 Midscene (use in browser)

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