How To Implement Short Term Memory Using LangGraph

In this video, we continue the Agentic AI using LangGraph series by learning how to implement short-term memory in LLM-based systems. The video explains why LLMs are stateless, how short-term memory works using conversation history, and how to implement it in LangGraph using checkpointers and thread IDs. You’ll then learn why in-memory storage is not suitable for production and how to persist conversation state using PostgreSQL with Docker. Finally, the video covers the context window problem in LLMs and teaches practical techniques like trimming, deletion, and summarization to handle long con…