tailscale-dev / tailscale-dev/ScaleTail
🏗️ New Service: AudioMuse-AI
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.1k
- Forks
- 124
- Avg merge
- 1d 19h
- Merged PRs (30d)
- 4
Description
Service Description
AudioMuse-AI is an open-source 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.
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Jellyfin, Navidrome, LMS, Lyrion, and Emby: no metadata or external services required.
It integrates with Navidrome through a plugin.
Docker Compose File Link
https://github.com/NeptuneHub/AudioMuse-AI/blob/main/deployment/docker-compose.yaml
Docker Compose Configuration
Website of Service
https://neptunehub.github.io/AudioMuse-AI/
Would you be willing to work on this service?
- Yes, I'd like to implement this feature
- I could help with parts of this feature
- No, I'm just suggesting the feature
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the referenced deployment/docker-compose.yaml and the AudioMuse-AI website to understand the service's deployment requirements. Clarify which ScaleTail configuration should be added; completion would be a reviewed Docker Compose service entry that fits the repository's conventions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, docker-compose
- Domain
- devops
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100