Your next favorite record is hiding in your listening history, and Digarr is the self-hosted discovery engine that finds it, scores it, and queues it for your library. Connect ListenBrainz, Last.fm, Spotify, Deezer, Discogs, or your Plex, Jellyfin, Emby, or Subsonic server, and Digarr builds a taste profile from what you actually play. An AI provider you choose, from Anthropic, OpenAI, and Gemini to a local Ollama model, proposes candidates, and a weighted scoring system ranks them by consensus, similarity, genre overlap, and your past feedback. Every suggestion lands in a review queue where you can preview tracks, approve, reject, or permanently block artists before anything touches your collection. Approve an artist and Digarr adds them to Lidarr with your quality profile, queues the release in slskd, or exports a playlist to Spotify, Navidrome, Jellyfin, Emby, or Plex. Album-level discovery runs on its own: Release Radar catches new releases from artists you follow, Library Gap-Fill surfaces the studio albums you are missing, and scheduled subscriptions keep fresh candidates flowing in without you lifting a finger. Share the instance with family or friends, each with their own queue and connections, protected by local accounts or OIDC single sign-on, and get notified through webhooks, ntfy, Telegram, or Apprise when new picks arrive. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.