{"repo":"NeptuneHub/AudioMuse-AI","free":true,"listed":false,"github":"https://github.com/NeptuneHub/AudioMuse-AI","clone":"git clone https://github.com/NeptuneHub/AudioMuse-AI.git","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.","language":"Python","stars":2446,"topics":["jellyfin","playlist","docker","k3s","kubernetes","llm","librosa","navidrome","sonic-analysis","jellyfin-plugin"],"license":"AGPL-3.0","category":"deployment-docker-iac","readme_excerpt":"⭐ Leave a star on this project: One shines alone; together, they make it visible and keep it alive. 💛 Donate to shape AudioMuse-AI future by supporting AI licenses, homelab infrastructure, and continuous development. AudioMuse-AI - Where Music Takes Shape AudioMuse-AI is an opensource and self-hosted tool that uses sonic analysis to rediscover forgotten songs in your music library and generate groove-aware playlists that also capture the meaning behind each track, without relying on metadata or external APIs. You can run it locally with Docker Compose or Podman, deploy it at scale in a Kubernetes cluster ( AMD64 and ARM64 supported), or use native applications available for macOS, Windows, and Linux . It integrates with major self-hosted music servers including Navidrome, Jellyfin, LMS, Lyrion, Emby, and Plex, with more integrations planned. Prefer not to self-host? Elestio offers AudioMuse-AI as a managed cloud service, and their YouTube video is a good introduction to the project and its features. AudioMuse-AI lets you explore your music library in innovative ways, just start with an initial analysis , and you’ll unlock features like: Multiple Music Servers (from v3.0.0 ): connect several media servers - any mix of Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex - to a single AudioMuse-AI deployment . Built-in duplicate detection recognizes the same song across servers, so each track is analyzed only once and every server shares the result. Clustering : Automatically group","default_branch":null,"files":null,"tree":[],"storefront":"/r/NeptuneHub","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/NeptuneHub/AudioMuse-AI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}