digarr
Self-hosted music discovery for your library. Find artists and albums, review recommendations, and send them to Lidarr, slskd, or playlists. Bring your own AI provider or local model. Works without Lidarr.
Not yet testedsource: GitHubhomepageTypeScriptMITcommit b65a8f5dca34
TypeScript, MIT licensed. The project labels itself: ai, albums, docker, lastfm, lidarr, listenbrainz, music discovery and musicbrainz.
digarr has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
aialbumsdockerlastfmlidarrlistenbrainzmusic-discoverymusicbrainzrecommendationsself-hosted
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/digarr)Questions
- Does digarr run?
- digarr has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test digarr?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for digarr?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.