Learn LangGraph with a Pokemon game!

Description

In this video, I show how to learn LangGraph by building a simple Pokémon-style game step by step. Instead of just explaining concepts, we create a working game loop using graph-based AI workflows. You’ll see how nodes like exploration, encounters, battles, and actions (run, catch, fight) map naturally to a graph structure. This makes LangGraph a perfect tool for stateful AI applications, agents, and complex workflows. What you'll learn: How graph-based workflows work How to model game states with LangGraph How nodes and transitions represent decisions How to structure interactive AI systems By the end, you’ll understand how to design agent workflows visually and programmatically — using a fun Pokémon-style example. 💻 Code for the game: https://github.com/ivmos/ivmos-langx-pokemon-game If you're interested in AI agents, LangChain, and building interactive LLM applications, this tutorial is for you. #LangGraph #LangChain #AIagents #Python #GameDev #LLM #AI