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AGENTRONIC Logo

AGENTRONIC

Semantic Music Processing System for AI Agents

License: MIT TypeScript React Supabase PRs Welcome

Live Demo β€’ Documentation β€’ API Reference β€’ Architecture


AGENTRONIC Hero Visual

🎡 Overview

AGENTRONIC is a sophisticated 4-phase architecture enabling AI agents to understand, analyze, and generate music at a semantic level with real-time collaboration capabilities and VST/Max for Live integration.

Transform music into semantic knowledge graphs, enabling AI agents to:

  • 🎼 Understand musical structure and harmony
  • 🎹 Analyze melodic patterns and progressions
  • 🎢 Generate new compositions and variations
  • πŸ€– Collaborate in real-time with other agents
  • 🎚️ Integrate with DAWs via VST plugins

✨ Features

πŸ”„ 4-Phase Architecture

Phase 1: Ingestion & Normalization

  • MIDI 1.0 & 2.0 parser with per-note expression
  • MusicXML support for complex notation
  • MEI (Music Encoding Initiative) metadata
  • OSC (OpenSoundControl) real-time streams
  • Audio transcription (WAV/MP3)
  • Unified internal representation format

Phase 2: Core Semantic Model

  • Temporal-harmonic knowledge graph
  • Musical entities: Composition β†’ Part β†’ Measure β†’ Note
  • Chord and harmony relationship mapping
  • Structural, temporal & harmonic connections
  • High-performance graph queries

Phase 3: Analysis & Generation

  • Harmonic progression analysis
  • Melodic contour detection
  • Formal structure identification
  • Performance nuance extraction
  • AI-driven composition & harmonization
  • Orchestration and transformation services

Phase 4: Agent-Facing Interface

  • GraphQL API for flexible queries
  • WebSocket real-time communication
  • OSC bridge for Media Control Protocol
  • API key authentication & session management
  • Multi-agent collaboration support

πŸŽ›οΈ VST/Max for Live Integration

Interface Preview

  • ⚑ Real-time MIDI streaming from Ableton Live
  • πŸ”„ Session synchronization (tempo, time signature, transport)
  • 🎚️ Bidirectional parameter automation
  • 🎸 Live jam mode for multi-agent collaboration

🎨 Futuristic UI

  • πŸŒ‘ Dark theme with electric blue/cyan accents
  • ✨ Glowing effects and particle animations
  • πŸ”· Hexagonal grid background pattern
  • πŸ”Œ Circuit-like visual patterns
  • πŸ“± Responsive, professional design

πŸš€ Quick Start

Prerequisites

  • Node.js 18+
  • pnpm package manager
  • Supabase account (for backend)

Installation

# Clone the repository
git clone https://github.com/whodaniel/AGENTRONIC.git
cd AGENTRONIC

# Install dependencies
pnpm install

# Configure environment variables
cp .env.example .env
# Edit .env with your Supabase credentials

# Start development server
pnpm dev

Environment Configuration

Create a .env file with your Supabase credentials:

VITE_SUPABASE_URL=https://your-project.supabase.co
VITE_SUPABASE_ANON_KEY=your_supabase_anon_key_here
VITE_NODE_ENV=development
VITE_APP_URL=http://localhost:5173

πŸ“– Usage

🎡 Upload & Analyze Music

  1. Navigate to Music Processor section
  2. Click "SELECT FILE"
  3. Choose MIDI, MusicXML, or audio file
  4. View instant analysis results

πŸ€– Agent Communication

import { createClient } from '@supabase/supabase-js'

const supabase = createClient(
  process.env.VITE_SUPABASE_URL,
  process.env.VITE_SUPABASE_ANON_KEY
)

// Subscribe to real-time music events
const channel = supabase.channel('music-events')
channel.on('postgres_changes', {
  event: '*',
  schema: 'public',
  table: 'real_time_events'
}, (payload) => {
  console.log('Music event:', payload)
}).subscribe()

🎚️ VST Integration

  1. Build VST plugin (see vst-integration/README.md)
  2. Install in Ableton Live
  3. Load AGENTRONIC VST on MIDI track
  4. Play notes for real-time processing

πŸ—οΈ Technology Stack

Frontend

  • React 18 + TypeScript
  • Tailwind CSS
  • Tone.js (audio)
  • Tonal.js (music theory)
  • Lucide React (icons)

Backend

  • Supabase PostgreSQL
  • Edge Functions (Deno)
  • WebSocket real-time
  • GraphQL API layer

Music Processing

  • MIDI parsing
  • MusicXML/MEI parser
  • Music theory engine
  • Generation algorithms

πŸ“ Project Structure

AGENTRONIC/
β”œβ”€β”€ .github/
β”‚   └── assets/              # Logo and visual assets
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ components/          # React components
β”‚   β”‚   β”œβ”€β”€ HeroSection.tsx
β”‚   β”‚   β”œβ”€β”€ ArchitecturePhases.tsx
β”‚   β”‚   β”œβ”€β”€ MusicProcessor.tsx
β”‚   β”‚   β”œβ”€β”€ AgentDashboard.tsx
β”‚   β”‚   └── SystemStatus.tsx
β”‚   β”œβ”€β”€ lib/
β”‚   β”‚   β”œβ”€β”€ musicProcessing.ts
β”‚   β”‚   β”œβ”€β”€ supabase.ts
β”‚   β”‚   └── utils.ts
β”‚   β”œβ”€β”€ hooks/               # Custom React hooks
β”‚   β”œβ”€β”€ App.tsx
β”‚   └── main.tsx
β”œβ”€β”€ docs/
β”‚   β”œβ”€β”€ architecture.md      # System architecture
β”‚   └── api-documentation.md # API reference
β”œβ”€β”€ supabase/
β”‚   └── functions/           # Edge functions
β”‚       β”œβ”€β”€ agent-register/
β”‚       β”œβ”€β”€ music-analyze/
β”‚       β”œβ”€β”€ music-generate/
β”‚       β”œβ”€β”€ music-upload/
β”‚       └── real-time-sync/
└── vst-integration/         # VST/Max for Live code
    └── README.md

πŸ›οΈ System Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    AGENTRONIC SYSTEM                        β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                                                             β”‚
β”‚  Phase 1: INGESTION & NORMALIZATION                         β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”              β”‚
β”‚  β”‚  MIDI  β”‚ β”‚  XML   β”‚ β”‚  MEI   β”‚ β”‚  OSC   β”‚              β”‚
β”‚  β””β”€β”€β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”¬β”€β”€β”€β”€β”˜              β”‚
β”‚       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                    β”‚
β”‚                     β”‚                                       β”‚
β”‚                     β–Ό                                       β”‚
β”‚  Phase 2: SEMANTIC KNOWLEDGE GRAPH                          β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”             β”‚
β”‚  β”‚  Compositions β†’ Parts β†’ Measures β†’ Notes  β”‚             β”‚
β”‚  β”‚          Chords & Harmonic Relations      β”‚             β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜             β”‚
β”‚                     β”‚                                       β”‚
β”‚                     β–Ό                                       β”‚
β”‚  Phase 3: ANALYSIS & GENERATION ENGINE                      β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”             β”‚
β”‚  β”‚  Analyze   β”‚ β”‚  Generate  β”‚ β”‚ Transform  β”‚             β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜             β”‚
β”‚                     β”‚                                       β”‚
β”‚                     β–Ό                                       β”‚
β”‚  Phase 4: AGENT INTERFACE LAYER                             β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”             β”‚
β”‚  β”‚  GraphQL   β”‚ β”‚ WebSocket  β”‚ β”‚    OSC     β”‚             β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜             β”‚
β”‚                                                             β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ§ͺ Supabase Edge Functions

Function Purpose Endpoint
agent-register Register new AI agents /functions/v1/agent-register
music-analyze Analyze musical structure /functions/v1/music-analyze
music-generate Generate new compositions /functions/v1/music-generate
music-upload Handle file uploads /functions/v1/music-upload
real-time-sync Synchronize live sessions /functions/v1/real-time-sync

πŸ“š Documentation


🀝 Contributing

We welcome contributions! Please follow these steps:

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Commit your changes: git commit -m 'Add amazing feature'
  4. Push to the branch: git push origin feature/amazing-feature
  5. Open a Pull Request

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.


πŸ™ Acknowledgments


🌟 Star this repo if you find it useful!

Built with 🎡 and πŸ€– by the AGENTRONIC team

Report Bug β€’ Request Feature β€’ Website

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