u/Mundane-Specific-721

I’ve been working with LangGraph for building AI agents and noticed I kept repeating the same setup every time — state graph, memory, tool nodes, and streaming logic.

So I created a reusable boilerplate kit to speed this up.

GitHub: https://github.com/bhaskar511939/langgraph-boilerplate-kit

What it includes:

- Prebuilt LangGraph agent structure

- State management setup

- Streaming-ready execution flow

- FastAPI integration support

- Clean modular architecture for scaling agents

Why I built it:

To avoid rewriting the same LangGraph scaffolding and to make it easier to start production-grade agent systems quickly.

Would love feedback from people working with LangGraph:

- What’s missing?

- What would make this more useful in real production systems?