Table of Contents

• Introduction
• System Requirements
• Installation
• Usage
• Contribution

Introduction

This project implements a multi-agent system utilizing the uv and agno libraries. Designed for scalability and efficiency, this system facilitates robust interactions between agents within a simulated environment.

System Requirements

• Python 3.11 or newer
• uv library
• agno library

Installation

Follow these steps to set up the project:

1. Install uv
   Refer to the installation guide for detailed instructions.

2. Create a Virtual Environment

   uv venv .venv

3. Install Project Dependencies Ensure you have a pyproject.toml file with all dependencies listed, then execute:

   uv pip install -e .

Usage

To run the system, use the following command:

uv run main.py

Navigate to http://127.0.0.1:8046/ to access the application.

Contribution

Contributions are welcomed! Please follow the guidelines below:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -am 'Add new feature').
4. Push your branch (git push origin feature-branch).
5. Open a Pull Request.

Ensure that your code follows the project's coding standards and includes tests where applicable.

Multiagent system

This is a multiagent system built using uv and agno.

◻️ Setup

◽ Step 1 Install uv

◽ Step 2 Create a virtual environment

uv venv .venv 

◽ Step 3 Install packages into the current environment.

If you have a pyproject.toml file with all the dependencies. Just run and the environment will be ready

uv pip install -e .

◻️ Usage

uv run main.py

Go to http://127.0.0.1:8046/