Developed by ByteDance, UI-TARS is a novel GUI agent model that focuses on seamless interactions with graphical user interfaces through human-like perception, reasoning, and action capabilities. This model integrates key components such as perception, reasoning, positioning, and memory into a single visual language model, enabling end-to-end task automation without predefined workflows or manual rules. Its primary advantages include robust cross-platform interaction capabilities, multi-step task execution, and the ability to learn from both synthetic and real data, making it suitable for a variety of automation scenarios like desktop, mobile, and web environments.