Download Majik's Music Studio
Free, open-source AI music generation. Apache 2.0 licensed.
- **Sign in, no license keys** — the License section is gone; a new Account section in Settings signs you into majiks.online with Unicorn Commander (SSO). Publishing is free with sign-in. - **Publisher fixed** — Catalogue, Earnings, and Artist Profiles no longer fail with "Not authenticated" while the sidebar claims Connected; the app now shows your real sign-in state and recovers expired sessions properly. - **Sterling everywhere** — Sterling, The Engineer is now the app's chat agent (not just the Studio copilot), with a floating popout chat window (⌘⇧S or Pop Out from the Chat tab) that follows you across tabs. - **Settings that fit** — the Settings tabs no longer vanish behind a tiny overflow chevron on narrow windows. - **Menu bar upgrade** — the status item is now the full-color unicorn avatar with a proper menu: open, generate, chat, now-playing controls, updates, quit.
macOS
Native Swift app
Native macOS app optimized for Apple Silicon. Signed and notarized — double-click to launch.
- •macOS 14+ (Sonoma)
- •Apple Silicon or Intel
- •16 GB RAM minimum
v3.4.1 · Universal Binary
Linux
BetaTauri 2
Built with Tauri 2 for native performance on Linux desktops. Beta — .deb and AppImage available now.
- •Ubuntu 24.04+ / Debian 12+ (glibc 2.36)
- •x86_64 processor
- •16 GB RAM minimum, GPU recommended
v0.2.0-beta · x86_64 · AppImage bootstraps its backend on first run (needs python3.11+)
Windows
Coming Soon
A Windows build is on the roadmap. Star the repo on GitHub to get notified when it ships.
Build from Source
Clone, build, contribute — Apache 2.0.
System Requirements
| Platform | OS | Processor | RAM | Storage |
|---|---|---|---|---|
| macOS | 14.0+ (Sonoma) | Apple Silicon or Intel | 16 GB min, 32 GB+ rec. | ~15 GB after setup |
| Linux | Ubuntu 22.04+, Fedora 38+ | x86_64 | 16 GB min, 32 GB+ rec. | ~15 GB after setup |
| Windows | Coming soon | — | — | — |
GPU recommended for all platforms. Required for reasonable generation speed. Internet required on first launch to download model weights.
Features
Multi-Server Generation
Connect multiple ACE-Step servers simultaneously. Round-robin or priority-based routing distributes generation across local and remote GPU backends.
Cover & Style Transfer
Upload a reference track and generate new songs that match its style, tempo, and feel. Cover mode re-imagines existing songs with AI vocals.
Audio Continuation
Extend any track by generating seamless continuations. The AI analyzes the ending and creates natural transitions into new sections.
Genre Variation
Take any generated song and create variations in different genres, tempos, or moods. Explore how your idea sounds as jazz, EDM, or country.
Batch Generation
Queue multiple songs with different prompts and settings. Generate a full album overnight. Background processing with progress notifications.
Import & Analysis
Import existing audio files. AI detects BPM, key, chord progressions, and structure. Use analysis results as starting points for new generations.
Synced Lyrics
AI-generated lyrics with word-level timing sync. Edit lyrics in the built-in editor. Export as LRC for karaoke or subtitle overlays.
Drag & Drop Workflow
Drag songs between library sections, into albums, or out to Finder and other apps. Drag audio files in to import or use as style references.
MCP Server
Full MCP integration for Claude Code. Generate music, manage the library, queue batch jobs, and automate production workflows programmatically.
3 Model Sizes
Small, medium, and large ACE-Step models. Choose based on your hardware — smaller models run on 8 GB systems, large models deliver studio-quality on 32 GB+.
Previous Versions
v1.5.7
macOSArt Studio integration, catalogue grouping, album field editor, branding update.
v1.5.4
macOSCatalogue artwork thumbnails, pull-sync, metadata sync, artwork caching
v1.4.2
macOSBug fixes: error messages, library filters, export reliability, stable variant IDs
We recommend always using the latest version. Older versions are provided for compatibility testing.