AudioMuse-AI is an Open Source Dockerized environment that brings smart playlist generation to Jellyfin and Navidrome using sonic audio analysis via Librosa, Tensorflow and AI models. All you need is in a container that you can deploy locally or on your Kubernetes cluster (tested on K3S). In this repo you will find deployment example on both Kubernetes and Docker Compose.
Short Description
Sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API
Anything else?
No response
Originally created by @NeptuneHub on GitHub (Jul 23, 2025).
### Project Website
https://github.com/NeptuneHub/AudioMuse-AI
### Project Description
AudioMuse-AI is an Open Source Dockerized environment that brings smart playlist generation to [Jellyfin](https://jellyfin.org/) and [Navidrome](https://www.navidrome.org/) using sonic audio analysis via [Librosa](https://github.com/librosa/librosa), [Tensorflow](https://www.tensorflow.org/) and AI models. All you need is in a container that you can deploy locally or on your Kubernetes cluster (tested on K3S). In this repo you will find deployment example on both Kubernetes and Docker Compose.
### Short Description
Sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API
### Anything else?
_No response_
/new -d "Sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API" other
@darmiel commented on GitHub (Jul 29, 2025):
/new -d "Sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API" other
@awesome-jellyfin[bot] commented on GitHub (Jul 29, 2025):
@darmiel
> /new -d "Sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API" other
* :white_check_mark: Created a new pull request #301
<!-- command-response: c01f79d0-6ca4-11f0-8b3d-6571dcf98eb0 -->
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
Originally created by @NeptuneHub on GitHub (Jul 23, 2025).
Project Website
https://github.com/NeptuneHub/AudioMuse-AI
Project Description
AudioMuse-AI is an Open Source Dockerized environment that brings smart playlist generation to Jellyfin and Navidrome using sonic audio analysis via Librosa, Tensorflow and AI models. All you need is in a container that you can deploy locally or on your Kubernetes cluster (tested on K3S). In this repo you will find deployment example on both Kubernetes and Docker Compose.
Short Description
Sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API
Anything else?
No response
@darmiel commented on GitHub (Jul 29, 2025):
/new -d "Sonic analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API" other
@awesome-jellyfin[bot] commented on GitHub (Jul 29, 2025):
@darmiel