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.

music open-source docker kubernetes

View on GitHub Website

2.3k Stars

134 Forks

8 Watchers

Python Language

agpl-3.0 License

100 SrcLog Score

Cost to Build

$2.83M

Market Value

$15.54M

How is this calculated?

Growth over time

13 data points · 2026-04-08 → 2026-07-21

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What is the NeptuneHub/AudioMuse-AI GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone AudioMuse-AI

Clone via HTTPS

git clone https://github.com/NeptuneHub/AudioMuse-AI.git

Clone via SSH

[email protected]:NeptuneHub/AudioMuse-AI.git

Download ZIP

Download main.zip

Found an issue?

Report bugs or request features on the AudioMuse-AI issue tracker:

Open GitHub Issues

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