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digarr

AI-powered music discovery for your *arr media stack — recommends and ranks albums, learns from feedback.

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digarr is a free, open-source, self-hosted music discovery tool for a Lidarr-based media library, using a multi-stage AI pipeline to recommend and rank individual albums and learn from a user's feedback. It integrates with Lidarr, Spotify, Navidrome, Jellyfin, and Plex. It's aimed at self-hosted music library owners who want curated album-level recommendations instead of grabbing an artist's entire discography.

Categories
mediaself-hosted

Full match profile

Behind the summary, Matchbox keeps a richer profile of digarr - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

  • Problem & pain-point mapping
  • Who we surface it to (audience fit)
  • What it's a strong alternative to
  • Trust & credibility signals

Try Matchbox with your own problem

Describe what is not working - we’ll show you whether digarr (or something else) actually fits.