Audionaut: Open-source audio editor with AI stem separation replaces expensive DAWs

Audionaut, a free, open-source multitrack audio editor, just went public after three years of private development. The cross-platform application combines precise timeline editing with AI-powered stem separation, letting producers and podcasters isolate drums, bass, vocals, and other elements from any audio file in seconds. Now on GitHub with 228 stars and dual licensing (GPLv3 and commercial), Audionaut bridges the gap between lightweight editing tools and expensive professional DAWs.

What Audionaut offers

Built in modern C++ on the JUCE framework, Audionaut is designed for audio professionals who need editing power without bloat. Key capabilities:

• Multi-track editing: Precise cutting, timestamped regions, per-track playlists, and loop recording with punch-in.
• Stem separation: Built-in demucs.cpp (Meta's htdemucs model) isolates vocals, drums, bass, and other sources (~80MB model download).
• Audio analysis: BIC segmentation, onset detection, beat tracking, and Auto Edit (one-click arrangement via automated segmentation).
• Real-time processing: Time-stretch and pitch-shifting (×0.25 to ×4 speed range), per-track gain, and fade controls.
• Cross-platform: Native support for Windows, macOS, and Linux; all features available on every platform.
• AI integration: MCP (Model Context Protocol) server support—Claude and other AI agents can automate editing tasks while keeping changes undoable.

Platform and formats

Audionaut reads and writes WAV, AIFF, MP3, FLAC, and Ogg Vorbis. Export options include mono, stereo, multi-channel, or multi-mono stems—ideal for podcasting, music production, and remix workflows. Project files are plain JSON (version-control friendly).

Current status and roadmap

The project is production-ready with ongoing development. Known gaps include plugin support (not yet implemented) and label support (regions exist; labels pending). Community feedback on the Show HN post requested keyboard shortcuts, automatic crossfades, envelope controls, and built-in effects—all noted as backlog priorities. The creator's pragmatic approach: AI edits are undoable, and human edits always take priority over agent commands.

Availability

Free and open source under GPLv3, with a commercial license available. Download from audionaut.app or build from https://github.com/kvoltmer/Audionaut. CLI tool (audionaut-cli) supports headless project access and CI/CD integration. MCP server available via claude mcp add audionaut -- npx -y audionaut-mcp (requires Node.js 18+).

Who benefits

• Podcasters: Multi-track recording, stem separation for audio cleanup, professional export.
• Music producers: Arrangement tools, audio analysis, stem isolation for remixing.
• Audio editors: Cross-platform precision editing without subscription fees.
• AI-assisted workflows: MCP integration lets agents perform editing tasks programmatically.
• Open-source advocates: GPL-licensed with active development and contributor support.

Why it matters

Professional audio editing has been dominated by expensive subscription tools (Adobe Audition, expensive standalone DAWs) or simplified free options (Audacity). Audionaut fills the middle: professional-grade capabilities, genuinely open source, and cross-platform from day one. The stem separation feature alone (powered by Meta's research) is normally locked behind paywalls or cloud APIs. Combined with MCP support, Audionaut signals a shift: open-source tools are becoming capable enough to replace proprietary software, and AI agents are now a first-class use case for desktop audio software. For content creators and teams, it reduces dependency on expensive tooling and vendor lock-in.