yonluandClaude Opus 5
20fbf28f2a
The post-scan backfills share MusicBrainz's rate limiters with every page the user can open, and both were FIFO — so a thousand-artist enrichment put an album page behind an hour of queued work. WithBackgroundLane/WithBackgroundPriority add a slower second lane: a marked wait takes no token while any interactive wait is outstanding. It is a context marker rather than a parameter because a backfill calls the same client methods a detail page does. A long backfill also has to be visible and stoppable, so jobs.KindCatalogEnrich registers both with progress and cancel — after the work is counted, since these passes are a no-op on every launch once the library is covered. What it does not fetch is the point. It ran for hours against a 900-artist library and marked nothing, because three of the four things it did per artist were work nobody asked for: similar artists, which the artist page already resolves on view, and a full GetArtistImage (fanart.tv, TheAudioDB, Wikidata, Wikipedia, ten portraits) reached only to warm the MB artist lookup EnsureArtistRels does alone. It was also serial across artists while every limiter is per-host and idle. The marks are a table rather than more explore_index columns, because artifactimport merges by column list and a flag added there is a second place to remember. BrowseReleaseGroupsAll pages to exhaustion, where the old call silently cut a prolific artist at 100 release groups. One portrait is downloaded now; the rest are remembered as URLs. resolveAllSources downloaded every candidate, up to ten, full size, while nothing reads anything but primary.jpg — 5.3 GB measured on a real cache, 4.1 GB of it unreachable. OrphanedArtistImagesJob is why that survived: it joined the bare MBID onto the images directory, but artist directories are sharded under a two-character prefix, so it named a path that never existed and deleted the rows that were the only record of the files it left behind. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UDCbcCZQepnpSQYJ6SxxZm
YellowJacket
Music how it was meant to bee.
YellowJacket is a fast, cross-platform desktop music player for your local collection. It plays your files, keeps your library tidy, and helps you discover and organize your music — all in a clean, responsive interface. No accounts, no streaming, no telemetry: just your music on your machine.
Runs on Linux, macOS, and Windows.
Features
Play your music
- Plays MP3, FLAC, OGG Vorbis, and WAV
- Play, pause, seek, and volume control with a mute toggle
- Gapless, glitch-free seeking backed by a read-ahead buffer
- A queue you can add to, reorder, and shuffle, with play-next support
- Shuffle and repeat (off / all / one)
- Picks up right where you left off — remembers your track, position, and volume between sessions
- Media-key and MPRIS support on Linux, so your desktop's playback controls just work
Keep your library organized
- Point it at your music folders and it scans them automatically
- Reads tags and embedded cover art, and de-duplicates artwork so it isn't stored twice
- Incremental sync — only new or changed files get reprocessed, and deleted files are cleaned up
- Browse by album, artist, or genre, or search across everything
- Mark favorites and see what you've been listening to with play history
- Edit track tags directly when something's off
Playlists
- Create playlists, drag tracks in, and reorder them
- Smart playlists that build themselves from rules (by genre, rating, play count, and more)
- Pin a default playlist and spot duplicate tracks at a glance
Discover and clean up (powered by MusicBrainz)
- Explore — browse artists, releases, and genres from the MusicBrainz catalog, not just what's already in your library
- Auto-tag — match your files against MusicBrainz to fill in correct artist, album, and track metadata, with a review step before anything is written
- Lyrics search — find a track by a line you remember
Install
Download the latest build for your platform from the releases page.
| Platform | Download |
|---|---|
| Linux | yellowjacket-linux-amd64 |
| macOS | yellowjacket-darwin-universal.app.zip (Apple Silicon + Intel) |
| Windows | yellowjacket-windows-amd64.exe |
Prefer to build it yourself? See Building from source.
Getting started
- Launch YellowJacket.
- Open Settings and add the folder(s) where your music lives.
- Let the initial scan finish — you'll see progress as it works.
- Browse by album, artist, or genre, queue something up, and press play.
Your library and settings are stored locally:
| Linux / macOS | Windows | |
|---|---|---|
| Config | ~/.config/yellowjacket/ |
%LOCALAPPDATA%\yellowjacket\config |
| Library data | ~/.local/share/yellowjacket/ |
%LOCALAPPDATA%\yellowjacket\data |
Building from source
YellowJacket is built with Go and a Lit/TypeScript frontend, bridged by the Wails framework.
Prerequisites
| Tool | Version |
|---|---|
| Go | 1.25+ |
| Node.js | 22+ |
| pnpm | 10+ |
| Wails CLI | v2 (go install github.com/wailsapp/wails/v2/cmd/wails@latest) |
On Linux, install the system libraries Wails needs:
sudo apt-get install libasound2-dev libgtk-3-dev libwebkit2gtk-4.1-dev
macOS and Windows need no extra system packages. Run wails doctor to check your
environment.
Build
make setup # install tooling and git hooks
make dev # run with hot-reload
make build-prod # produce a release binary
More detail for contributors lives in
docs/dev/overview.md and CLAUDE.md.