multi-agent-alpha 0.1.3

Multi-Agent Alpha is a robust, open-source framework for building, managing, and deploying intelligent multi-agent systems. It provides a flexible architecture for creating custom agents, with a focus on code quality, testing, and continuous integration.

Multi-Agent Alpha

Multi-Agent Alpha is a robust, open-source framework designed to simplify the process of building, managing, and deploying intelligent multi-agent systems. This project serves as a stepping stone for individuals and organizations to automate complex multi-agent workflows with ease, including support for custom hooks and capabilities.

Key Features

• Modular Architecture: Easily build and manage multi-agent systems with a flexible and scalable architecture.
• Custom Hooks: Extend the functionality of your agents with custom hooks, allowing for seamless integration with other tools and systems.
• Non-Commercial Use: Built with open-source principles, supporting non-commercial use while encouraging community contributions.
• PEP 8 Compliance: Ensures code quality and consistency through adherence to Python’s PEP 8 standards, with built-in linters and formatters.
• Integration with LangChain: Leverage advanced agent workflows with integration support for LangChain.
• Continuous Integration: Automatically test and validate your code with GitHub Actions, ensuring that every change is stable and reliable.

Getting Started

To get started with Multi-Agent Alpha, follow these steps:

Clone the Repository

git clone https://github.com/nishgaba-ai/multi-agent-alpha.git
cd multi-agent-alpha

Install Dependencies

Use Poetry to install the project dependencies:

poetry install

Run Tests

Ensure everything is working by running the tests:

poetry run pytest

Installation

To install Multi-Agent Alpha in your project, use Poetry:

poetry add multi-agent-alpha

Usage

Here's a simple example of how to create and run a custom agent:

from multi_agent_alpha.agents import CustomAgent

# Initialize a custom agent
agent = CustomAgent(name="MyAgent")

# Use the agent to perform a task
result = agent.example_usage(query="Post this message to LinkedIn")
print(result)

Contributing

We welcome contributions from the community! Please follow these steps to contribute:

1. Fork the repository and clone it locally.
2. Create a new branch for your feature or bug fix.
3. Commit your changes with clear commit messages.
4. Push to your branch and submit a pull request.

Please ensure that your code adheres to the existing code style and passes all tests before submitting.

License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. See the LICENSE file for more details.

Acknowledgements

Special thanks to all the contributors and the open-source community for their support and collaboration.

Contact

For any questions, feel free to reach out to the project maintainer, Nishchal Gaba, at [e-mail].