#11 · Primary category： Recommender Systems
AudioMuse-AI
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.
Project last updated：08/29/26
GitHub Stars
2.5K
Forks
145
Contributors
38
License
AGPL-3.0
Why we included this project
AudioMuse-AI does its matching on the audio signal itself, so a library full of badly tagged files still opens up into something worth rediscovering. Connect it to Navidrome, Jellyfin, LMS, Lyrion, Emby, or Plex and you can ask for a playlist by mood or tempo, get a listening path between two songs, or pull together clusters of tracks that sound alike even when they cross genres. A music map gives you a visual overview of the collection, and lyrics search finds tracks by theme or meaning. It runs as Docker containers on one machine or in Kubernetes, ships native apps for macOS, Windows, and Linux, and has plugins for several servers.
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