Multi-Agent AI System with Memory and Dashboard

This project is a multi-agent AI system designed to serve as a personal assistant for managing business ecosystems. It features:

• Multiple AI agents with memory capabilities
• Integration with various tools for marketing, website design, ad creation, and more
• A dashboard frontend for monitoring and interacting with agents
• Built using Python for backend agents and React for the frontend dashboard
• Uses MCP framework for agent communication and tool integration

Setup Instructions

Backend Setup

1. Install Python 3.8 or higher.
2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install required Python packages:

   pip install openai mcp-sdk fastapi uvicorn

4. Run the backend server:

   uvicorn backend.main:app --reload

Frontend Setup

1. Install Node.js (version 14 or higher).
2. Navigate to the frontend directory:

   cd frontend

3. Install dependencies:

   npm install

4. Start the frontend development server:

   npm start

Project Structure

• backend/ - Python backend with AI agents and MCP server
• frontend/ - React dashboard frontend
• README.md - This file with setup and usage instructions

Next Steps

• Implement core AI agents with memory
• Develop dashboard UI components
• Integrate backend and frontend via API