🤖 AudioMuse AI Plugin (Jellyfin)

Repository: https://github.com/NeptuneHub/audiomuse-ai-plugin

Description

AudioMuse-AI-Plugin integrates core AudioMuse-AI features directly into Jellyfin, adding scheduled analysis, clustering, and sonic fingerprint tasks, plus a 1:1 API mapping so frontend developers can call Jellyfin endpoints directly for playlist creation, similar tracks, similar artists, path-finding, text/semantic search, and more.

Features

• Scheduled tasks: music analysis (daily), clustering (weekly), sonic fingerprint (weekly)
• Instant Mix integration on artists, albums, songs, and playlists
• AI-powered playlist creation (chat-based and by track ID)
• Similar tracks and similar artists search
• Song Alchemy (add/subtract songs or artists to build a vibe-based playlist)
• CLAP-based natural language text search
• Full 1:1 API mapping with AudioMuse-AI for custom frontend integration

Compatible Frontends

• Jellyfin web frontend and official mobile app
• Finamp
• Jellify
• Symfonium
• Feishin
• Wavio
• Other frontends via the exposed API

Installation

Via Plugin Catalog

1. Go to Jellyfin > Control Panel > Plugin Catalog.
2. Click the gear icon to add a new manifest.
3. Add the manifest: https://raw.githubusercontent.com/NeptuneHub/audiomuse-ai-plugin/master/manifest.json
4. Find AudioMuse AI under the General section and install it.
5. Restart Jellyfin.
6. Configure the plugin with your AudioMuse-AI container URL (e.g. http://192.168.3.14:8000).

Requirements

• A running Jellyfin server
• An existing AudioMuse-AI deployment (separate container)

Related Repositories

• AudioMuse-AI - core application
• AudioMuse-AI Helm Chart - Kubernetes deployment

Compatibility

• Jellyfin (Plugin System)
• Docker deployments
• Linux servers
• Self-hosted music libraries

Open Source

✅ Yes

Price

Free