I built a mini agent framework in Python to understand how LangGraph actually works under the hood

1. 1Build a mini agent framework in Python from scratch
2. 2Run the framework with a simple LangGraph implementation
3. 3Configure the framework to handle multiple agent interactions
4. 4Test the framework's performance and scalability
5. 5Apply the knowledge gained to optimize LangGraph usage in real-world projects

AI engineers and researchers on a team can benefit from understanding the inner workings of LangGraph, while software engineers can apply this knowledge to develop more efficient frameworks

💡 Understanding how LangGraph works under the hood can significantly improve the development of agentic AI applications

🤖 Build a mini agent framework in Python to understand LangGraph's inner workings! 💻