# LangGraph Agent Implementation

This repository contains a minimal implementation of a LangGraph agent using the `langgraph` library. The agent demonstrates how to:

- Define a state dataclass for graph data.
- Create a simple graph with nodes and edges.
- Execute the graph and retrieve the final state.

## Requirements

- `langgraph==0.0.38`

Install the dependencies with:

```bash
pip install -r requirements.txt
```

## Running the Agent

Execute the agent directly:

```bash
python langgraph_agent.py
```

You should see output similar to:

```
Final state messages: ['Hello from LangGraph!']
```

## Extending the Agent

Feel free to add more nodes, incorporate LLM calls, or integrate with other frameworks such as LangChain. The current structure provides a solid foundation for building more complex conversational agents.