Audionaut — AI for Music, Audio & Voice Production

Audionaut bridges the gap between traditional desktop audio workstations and conversational AI workflows. Because it speaks the Model Context Protocol (MCP), you can connect assistants like Claude to inspect and edit your timeline directly using natural language commands. Rather than relying on rigid cloud plugins or proprietary software, this open-source tool runs natively on your machine across macOS, Windows, and Linux, meaning your audio data remains entirely private. The application includes practical features for modern audio producers, podcasters, and musicians. You can perform local stem separation to split any audio clip into drums, bass, vocals, and other elements, run automated segment analysis to chop up long jams or takes, and apply time-stretching powered by the Rubber Band R3 engine. Playlists and multi-channel cutting simplify the arrangement process, keeping multi-track stems cleanly synchronized. While the AI capabilities offer a novel way to manipulate timelines, the tool does require some technical setup for terminal commands, such as installing dependencies via Node.js for the MCP bridge. Nevertheless, its human-readable JSON project format ensures you are never locked into a proprietary ecosystem. Whether you want a reliable free editor for manual multi-track projects or a sandbox to test agent-driven audio editing workflows, Audionaut provides a transparent, GPLv3-licensed environment to build, record, and export your audio losslessly.