averatec0773

averatec0773 / beatos

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Local-first beat library for music producers. MCP server (Claude Code / Claude Desktop) for AI-driven cataloging, tagging, and multi-platform publishing.

14
2
100% credibility
Found May 22, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

BeatOS is a desktop application for music producers that creates a local catalog of all their audio files. It stores every beat's metadata (title, tempo, key, genre, mood, producer credits, tags) in a database on your computer, letting you organize, search, and play your collection. The app includes an audio player, automatic tempo/key detection, and an AI assistant connection that can help with bulk metadata tasks - though every AI change requires your approval before being applied. Everything stays private on your machine with no accounts or cloud sync required.

How It Works

1
🎵 You download BeatOS and install it

You get the app running on your computer - it opens with a clean library view showing your collection of beats.

2
📁 You drag your music files into the app

Drop your WAV and MP3 files directly into BeatOS - it creates track entries for each one automatically.

3
The app analyzes your audio files

BeatOS listens to each beat and figures out the tempo and musical key, filling in that information for you automatically.

4
🏷️ You add tags and details to organize everything

Pick genres, moods, and producers from dropdown menus - or type your own custom tags. Everything stays organized your way.

5
You can ask an AI assistant to help
👤
You do it yourself

Keep full control and approve every change the AI suggests before it applies anything.

🤖
Let the AI help

The AI proposes bulk edits like 'tag all beats above 140 BPM as Trap' - you review and approve in one click.

6
▶️ You play beats and browse your collection

Click any track to hear it instantly. Filter by genre, mood, BPM, or search by title. Create playlists to organize your work.

🎉 Your entire beat library is organized and ready

Every beat is cataloged with the right metadata, searchable in seconds, and ready to export to any platform when you're done.

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AI-Generated Review

What is beatos?

BeatOS is a local-first desktop library for beat producers who are drowning in WAV and MP3 files. It keeps one canonical catalog on your machine, then lets you (or an AI agent) translate that metadata into whatever format each platform needs. The app runs as an Electron shell with a Python backend, storing everything in SQLite under your control. You get a full player with BPM/key analysis, drag-and-drop track management, and an MCP server that exposes your library to Claude Desktop or Claude Code. The pitch: catalog once, ship everywhere.

Why is it gaining traction?

The MCP integration is the hook. Instead of manually retyping genre tags and descriptions for BeatStars, NetEase, and YouTube, you can ask Claude to draft per-platform metadata from your existing catalog. The two-phase commit pattern (AI proposes, you approve) means the agent can never silently mutate your library. For producers who publish across four or five platforms, this is the workflow they've been asking for. The local-first architecture also matters: no accounts, no cloud sync, no telemetry. Your beats and data stay on your machine.

Who should use this?

Beat producers with large, messy collections who publish to multiple platforms will get the most value. If you're spending hours re-entering metadata across BeatStars, YouTube, and Suno, BeatOS eliminates that grind. Producers already using Claude Code or Claude Desktop will immediately see the benefit of having their catalog available as AI tools. If you just need a basic audio player or you're a hobbyist with under 20 beats, this is overkill.

Verdict

At 14 stars and version 0.0.25, BeatOS is early-stage software with a 1.0% credibility score. The concept is solid and the MCP approval flow shows real thought about safety, but there are no packaged installers yet and the roadmap (publish adapters, RAG, DAW integration) is still ahead. Run it from source if you're a power user willing to help shape the project. Wait for v0.1.0 if you want a polished experience.

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