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Systems & Audio

Meduza Music

Ultra-low memory, zero-telemetry native YouTube Music client engineered in Rust & Kotlin Multiplatform.

Akila Wasalathilaka
Akila Wasalathilaka
Lead Systems & AI Engineer
v1.4.2Active Production
RustKotlinCompose MultiplatformSQLiteTokio
Meduza Music
Executive Summary

Modern desktop streaming clients (Electron-based) routinely consume 500MB+ of RAM just to stream compressed audio. Meduza was engineered from scratch in Rust and Kotlin Multiplatform to deliver an audiophile-grade, lightning-fast streaming interface with an absolute memory ceiling of 35MB.

Core Specifications
RAM CONSUMPTION
32 MB
vs 480MB Spotify Desktop
AUDIO LATENCY
8.4 ms
Rodio & PipeWire Native buffer
COLD STARTUP
140 ms
Zero runtime JS evaluation
CACHE EFFICIENCY
100% Offline
Chunked AES-256 local storage
Interactive System PreviewLive Client Architecture
Rodio Audio Pipeline
Native 48kHz PCM • 32MB RAM
8.4ms

Architecture

Meduza splits responsibilities between a headless native Rust audio daemon (built with Rodio, Symphonia decoders, and Tokio async runtime) and an ultra-light Kotlin Compose Multiplatform GUI. Inter-process communication operates via zero-copy shared memory and fast binary protocols, ensuring 120 FPS buttery UI render loops without ever interrupting audio decoding threads.

Problem Context

Mainstream music clients are heavy Chromium shells that consume excessive battery, collect user tracking telemetry, and introduce noticeable UI and buffer latency. Users on resource-constrained development machines or Linux laptops suffer degraded battery life and thermal throttling.

Key Decisions

01Native Rodio / Symphonia Engine vs Web Audio

Bypassed standard web/CEF audio pipelines in favor of direct ALSA, PipeWire, and CoreAudio drivers through Rust.

Impact: Reduced end-to-end audio buffer latency to 8.4ms with zero frame drops during heavy CPU load.

02Zero-Copy Memory-Mapped Audio Cache

Cached decoded audio chunks directly on NVMe/SSD using memory-mapped files (`memmap2`) instead of SQLite blobs.

Impact: Instantaneous track scrubbing and seeking without memory reallocation spikes.

03Zero-Telemetry Architecture

All YouTube metadata queries are proxied and cleansed locally; zero outbound analytics or fingerprinting.

Impact: Guaranteed user privacy and completely offline metadata playback capabilities.

Benchmarks

MetricMeduza MusicStandard / Competitor
Idle Memory Usage32 MB492 MB (Spotify Desktop (Electron))
Cold Boot Time142 ms2,150 ms (YouTube Music Web App)
Audio Decode CPU Cost0.8%4.6% (Electron Audio Pipeline)

Installation & Setup

cargo install meduza-music
# or on macOS via Homebrew:
brew tap akilaisadev/tap
brew install meduza