Digarr
$9.00 / month
Free trial: 7 days
Sign-up fee: $1.00
Managed Digarr hosting for AI music discovery that feeds album-level picks into Lidarr, tuned to your actual taste.
Hosted Digarr: managed AI music discovery for Lidarr users who want new albums, not whole discographies.
Early Access
This app is a brand-new addition to ElfHosted, and is considered beta. It runs, we test it, and your trial lets you prove it fits before you commit, but our support team does not yet have deep experience with it. Expect some trial and error: lean on the upstream documentation, experiment freely, and share what you learn in Discord, where the community and team are figuring these new apps out together. If you need a battle-tested workflow today, our established apps are the safer pick.
What is Digarr?
Digarr turns your listening history into a music discovery engine. It builds a taste profile from your connected sources (Lidarr, Last.fm, ListenBrainz, Spotify, Deezer, Plex, Jellyfin, Emby, Navidrome, and more), runs recommendation pipelines through the AI provider of your choice, and presents a review queue where you approve artists or individual albums into Lidarr. Album-level approval is the killer feature: instead of grabbing an entire discography, you cherry-pick just the albums you actually want.
Digarr does not host, index, or download any music. It suggests titles and hands your approvals to the Lidarr instance you configure; acquisition happens through your own indexers and clients, subject to the laws that apply to you.
Key Features
- Taste profiling from real listening: Last.fm, ListenBrainz, Spotify, Deezer, Plex, Jellyfin, Emby, Navidrome, and Lidarr itself all feed the profile.
- Bring your own AI: OpenAI, Anthropic, Gemini, or any OpenAI-compatible endpoint; a budget model costs cents per month, and stored keys are encrypted at rest.
- Album-level approvals: Review each recommendation and send only the albums you want to Lidarr.
- Scheduled discovery: Subscriptions keep fresh recommendations arriving on their own.
- Playlists and export: Generate playlists and export M3U/XSPF for your players.
- Webhook notifications: Know when a discovery run finishes or an approval lands.
Digarr in Your Stack
Digarr is the discovery brain in front of an ElfHosted Lidarr: connect Lidarr at http://lidarr:8686, wire in your listening sources, and approvals flow straight into Lidarr's queue. Plex, Jellyfin, and Navidrome double as both listening sources and the places you enjoy the results. Without Lidarr connected it still works in discovery-only mode.
Why Run Digarr on ElfHosted?
Scheduled discovery pipelines want an always-on home next to the apps they talk to. ElfHosted provides exactly that, with Lidarr and your media servers on the same internal network.
- Managed access and support: Provisioned in minutes, kept updated, with humans on Discord when you need them.
- Plays well with other ElfHosted apps: Lidarr, Plex, Jellyfin, and Navidrome are one hostname away.
- Persistent config: Taste profile, connections, queue history, and settings survive restarts and upgrades.
- Simple subscription: One flat monthly price with a 7-day trial, cancel anytime.
Works With
- Lidarr: Approved artists and albums land straight in its queue.
- Last.fm / ListenBrainz / Spotify / Deezer: Listening history for the taste profile.
- Plex / Jellyfin / Emby / Navidrome: Library-based listening sources, and where you play the results.
Frequently Asked Questions
Does Digarr include any music?
No. Digarr recommends titles and sends your approvals to Lidarr; it never hosts or downloads music itself.
Do I need my own AI API key?
Yes. Digarr uses the AI provider you configure (OpenAI, Anthropic, Gemini, or any OpenAI-compatible endpoint), billed by that provider directly. A budget model is plenty, and typical usage costs cents per month.
How do I log in?
Digarr manages its own accounts: the first account registered becomes the admin, and self-registration is disabled automatically afterwards. Register as soon as your instance provisions.
Does it work without Lidarr?
Yes, in discovery-only mode: taste profiling, recommendations, and playlists all work; you just will not have the one-click approval into a library manager.
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