AudioMuse-AI is an open-source, Dockerized environment that brings automatic playlist generation to your self-hosted music library. Using tools such as Librosa and ONNX, it performs sonic analysis on your audio files locally, allowing you to curate playlists for any mood or occasion without relying on external APIs.

Deploy it easily on your local machine with Docker Compose or Podman, or scale it in a Kubernetes cluster (supports AMD64 and ARM64). It integrates with the main music servers' APIs such as Jellyfin, Navidrome, LMS, Lyrion, and Emby. More integrations may be added in the future.

AudioMuse-AI lets you explore your music library in innovative ways, just start with an initial analysis, and you’ll unlock features like Clustering, Instant Playlist, Music Playlist and many more

Features

  • Sonic analysis
  • Smart playlist
  • Music Map
  • Jellyfin Integration
  • Navidrome Integration
  • Lyrion Integration
  • Emby Integration

Project Samples

AudioMuse-AI Music Map Sonic Analysis Clustering Instant Playlist

Project Activity

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Categories

Machine Learning, LLM Inference

License

Affero GNU Public License

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Additional Project Details

Registered

2026-02-01
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