browser-use/video-use Trends on GitHub for AI-Driven Video Editing
The open-source Python library browser-use/video-use has gained significant traction on GitHub, accumulating over 7,600 stars this month. The tool allows users to edit videos simply by dropping raw footage into a folder and interacting with Claude Code via chat. This project represents a shift in video editing workflows, moving away from complex manual timelines and presets toward natural language automation driven by AI coding agents. It lowers the barrier to entry for content creators, enabling automated editing for tutorials, montages, and interviews. The tool is 100% open-source, outputs a final MP4 file, and can be run locally or via the Browser Use Cloud platform. It works across various video formats and styles without requiring pre-configured menus or templates.
## BACKGROUND
AI coding agents like Claude Code are designed to write, execute, and debug code autonomously based on natural language instructions. By leveraging these agents, developers can automate complex software tasks, which video-use extends to the domain of video processing and editing. This approach bypasses traditional video editing software by programmatically manipulating video files through code generated on the fly.