c41316ee995d306ef9ef05584de0918c9f1e21df
Backend: - app.ts: switch shared pg.Client to pg.Pool with per-transaction clients (#205) - v2.routes.ts: replace plan instead of appending on replan, fixing self-duplication (#206) - session-director: populate recentExclusions, per-candidate ranking, batch repetition checks (#209/#211/#213/#215 + minor) - db.service.ts: claim-fusion watermark, legacy recommendation_batch engine removed (#216/#219/#232) - app.ts: drop test enqueue-job endpoint (#234) Frontend: - AudioEngine/Vibe/usePlaybackStore: dedupe completed feedback, gate feedback to vibe sessions, End Vibe stops playback, Keep toast, shuffle played-set (#207/#236/#237/#238/#239/#240) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
muzick
A high-performance, distributed music orchestration and recommendation platform.
Overview
muzick is designed to manage a local music library while providing an "infinite vibe" listening experience. It bridges the gap between a local filesystem and advanced discovery engines through a tiered recommendation architecture.
Tech Stack
Frontend
- Framework: React
- Routing: TanStack Router
- Data Fetching: TanStack Query (with Look-ahead Buffering)
- State Management: Zustand (for Session/Vibe state)
- Styling: CSS Variables (Customizable Themes)
Backend
- Runtime: Node.js / TypeScript
- Framework: Fastify
- Task Queue: BullMQ (via Redis)
- Search: Typesense
Infrastructure & Data
- Database: PostgreSQL (Source of truth for metadata, relationships, and session state)
- Cache/Queue: Redis
- Audio Analysis: Essentia (via Worker processes)
- External Metadata: MusicBrainz, Discogs, LRCLib, Cover Art Archive
Core Concepts
- The Rolling Vibe: A continuous, evolving stream of music that uses a "Rolling Window" of tracks. It interleaves owned library tracks with high-probability "probation" tracks (external discoveries).
- The Dislike Lifecycle: A multi-stage state machine that protects users from accidental deletions while ensuring the library stays clean.
- Tiered Similarity: Instant metadata-based matches, followed by deep audio-feature similarity.
Getting Started
Prerequisites
- Docker & Docker Compose
Running Locally
docker-compose up -d
Description
Languages
TypeScript
95.5%
PLpgSQL
2.4%
CSS
1.4%
JavaScript
0.4%
Dockerfile
0.2%