Automagik Omni

Multi-tenant omnichannel messaging hub with AI agent integration.

Overview

This project implements an AI agent system that can integrate with various communication channels, starting with WhatsApp.

Setup

1. Create a virtual environment: python -m venv .venv
2. Activate the virtual environment: source .venv/bin/activate
3. Install dependencies: uv pip install -e .

Configuration

Copy the .env.example file (if available) to .env and fill in the required configuration values.

Running the Application

automagik-omni start

Or using the legacy command:

omnihub start

Or using the legacy method:

python -m src.main

CLI Commands

# Main commands
automagik-omni start              # Start the API server
automagik-omni status             # Show system status
automagik-omni health             # Health check

# Instance management
automagik-omni instance list      # List all instances
automagik-omni instance add       # Add new instance
automagik-omni instance show      # Show instance details

# Telemetry management
automagik-omni telemetry enable   # Enable usage analytics
automagik-omni telemetry disable  # Disable usage analytics

Telemetry

Automagik Omni collects anonymous usage analytics to help improve the product. This includes:

• CLI command usage patterns
• API endpoint performance metrics
• System information (OS, Python version)

No personal data, message content, or credentials are collected.

To disable telemetry:

automagik-omni telemetry disable

Or set environment variable:

export AUTOMAGIK_OMNI_DISABLE_TELEMETRY=true

Development

This project uses uv as the package manager. To add new dependencies:

uv add <package-name>

Project Structure

• src/ - Main source code directory
  • agent/ - Agent implementation
  • channels/ - Communication channel integrations
  • db/ - Database models and repositories
• tests/ - Test directory (to be implemented)