Agentic AI Agno Framework

A multi-agent AI system built with the Agno framework, featuring chat, email, and knowledge base capabilities.

Developer

Muhammad Aqeel Yasin
Shadow Analytics

Features

• Chat Agent using Groq LLM
• Email Agent for automated communications
• Knowledge Base Agent with JSON storage
• PostgreSQL with pgvector for vector storage
• Docker-based deployment

Prerequisites

• Python 3.x
• Docker and Docker Compose
• PostgreSQL
• Groq API access

Environment Variables

Create a .env file with:

AGNO_API_KEY=your_agno_api_key
DB_URL=your_database_url
RECEIVER_EMAIL=recipient@email.com
SENDER_EMAIL=sender@email.com
SENDER_NAME=Sender Name
SENDER_PASSKEY=email_app_password
JSON_PATH=path_to_json_knowledge_base

Installation

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

3. Start the PostgreSQL database:

docker-compose up -d

Usage

Run the playground:

python playground.py

The application will be available at http://localhost:7860

Agents

1. Chat Agent: General conversation using Groq LLM
2. Email Agent: Handles email communications
3. Knowledge Agent: Manages inventory and supplier information

Database

• Uses PostgreSQL with pgvector extension
• Default credentials:
  • Database: ai
  • User: ai
  • Password: ai
  • Port: 5532

Support

For support, contact Muhammad Aqeel Yasin at Shadow Analytics.