🤖 Multi-Agent AI System

An intelligent document processing system that classifies and extracts information from multiple input formats using specialized agents.

---

✨ Features

• 📄 Supports PDF, JSON, and Email input formats
• 🧠 Intelligent classification and routing
• 🤹 Specialized extraction agents
• 🧬 Shared memory system for context preservation
• ⚡ Built with Python, FastAPI, and LangChain

---

🗂️ Project Structure

/multi-agent-system
multi agent system/
├── memory_store.json
├── README.md
├── requirements.txt
├── agents/
│   ├── classifier.py
│   ├── email_agent.py
│   ├── json_agent.py
│   └── pdf_agent.py
├── data/
│   ├── sample_email.txt
│   ├── sample_invoice.json
│   └── sample_policy.txt
├── mcp/
│   ├── action_router.py
│   └── api.py
├── memory/
│   └── store.py
├── static/
│   ├── app.js
│   └── styles.css
└── templates/
    ├── agent_flow.html
    └── index.html

⚙️ Setup

1. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   
   

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

    cp .env.example .env
   # Edit .env with your API keys

Usage

Run the FastAPI server:

uvicorn mcp.api:app --reload

The API will be available at http://localhost:8000

API Endpoints

• POST /process: Process any input document
• GET /memory/{conversation_id}: Retrieve processing history "# multi-agent-system" "# Multi-Agent-System"

🖼️ Demo Screenshots