AgentMatrix

AgentMatrix is an open-source framework for building and orchestrating AI agents. It provides a flexible and extensible architecture for creating, managing, and interacting with various types of AI agents, including language models and search engines.

Features

• Modular agent architecture
• Easy integration with DuckDuckGo for web searches
• Seamless interaction with OpenAI's language models
• Extensible base classes for creating custom agents
• Logging system for transparency and debugging

Installation

Install AgentMatrix using pip:

pip install agentmatrix

Quick Start

Here's a simple example of how to use AgentMatrix:

from agentmatrix import MultiAgentSystem

# Initialize the system
mas = MultiAgentSystem()

# Add agents
mas.add_duckduckgo_agent()
mas.add_llm_agent(api_key="sk-uAbo-mUMIA", model="gpt-4")

# Process a query
conclusion = mas.process_query(
    search_term="current trends in stock and share market",
    expert_type="Financial Market Expert",
    expert_description="You are an expert in the latest trends and developments in the global stock and share market.",
    user_prompt="Provide insights into the current trends and developments in the stock and share market. Include reference links.",
    response_format="json",
    listed_urls=["https://www.marketwatch.com/", "https://www.bloomberg.com/markets"] #which URLs should be referred
)


print(conclusion)

Documentation

For detailed documentation, please visit our GitHub Wiki.

Contributing

We welcome contributions from the community! Here are some ways you can contribute:

1. Feature Additions: Have an idea for a new agent type or functionality? We'd love to hear it! Open an issue to discuss your idea or submit a pull request with your implementation.

2. Bug Fixes: Found a bug? Please open an issue describing the problem or submit a pull request with a fix.

3. Documentation: Help improve our documentation by fixing errors or adding examples.

4. Testing: Expand our test coverage or improve existing tests.

To contribute:

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

Please read our Contributing Guidelines for more details.

Roadmap

• Add support for more LLM providers
• Implement agent chaining and workflows
• Create a web interface for agent management
• Develop more specialized agents (e.g., for data analysis, code generation)
• Implement caching mechanisms for improved performance

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

Kiran Beethoju - @kiranbeethoju

Project Link: https://github.com/kiranbeethoju/agentmatrix

Acknowledgements

• OpenAI for their amazing language models
• DuckDuckGo for their search API
• All the contributors who have helped shape this project

Join us in making LLM agent frameworks more powerful and accessible!