tailscale-dev / tailscale-dev/ScaleTail

🏗️ New Service: AudioMuse-AI

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new service
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

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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