This repository contains examples of various building blocks and patterns commonly used in building AI agent systems. Each example demonstrates a specific concept or pattern that can be used as a foundation for more complex agent architectures.
Demonstrates how to implement an intelligent query router that can direct incoming queries to the appropriate handler based on content analysis. This is useful for:
- Building multi-agent systems where different agents handle different types of queries
- Creating hierarchical agent systems
- Implementing content-based routing logic
- Memory Systems
- Tool Usage
- Planning Systems
- Multi-Agent Communication
- Reflection and Self-Improvement
- Error Handling and Fallbacks
Each example is contained in its own directory with its own README file that provides:
- Detailed setup instructions
- Usage examples
- Customization guidance
- Explanation of the concept being demonstrated
- Python 3.13+
- OpenAI API key
- Basic understanding of LLMs and Python
- Clone this repository:
git clone https://github.com/yourusername/agent-building-blocks-examples.git- Navigate to the specific example you want to try and follow its README instructions.
Contributions are welcome! If you have:
- New examples of agent building blocks
- Improvements to existing examples
- Bug fixes or optimizations
Please feel free to submit a pull request.
MIT
This project is inspired by the growing field of AI agents and aims to provide practical, reusable examples for the community.