Add Memory to AI Agents in LangGraph (Short-Term vs Long-Term Memory)

Description

In this video we explore how memory works in LangGraph and how to add memory to AI agents. We look at both short-term memory and long-term memory, understand the differences between them, and implement each with practical code examples. You will see how short-term memory can help an AI agent maintain conversation context, while long-term memory allows the system to store and retrieve information across sessions. Topics covered: • Short-term memory in LangGraph • Long-term memory in LangGraph • Adding memory to AI agents • Maintaining conversation context • Persisting memory across sessions By the end of this video you will understand how to implement memory in LangGraph workflows and combine both memory types in real AI agent systems. GitHub repository with full code examples: https://github.com/jnkochhar/memory_in_langgraph Video to learn how to use free LLM APIs from Groq: https://youtu.be/n9hw_d-3Bl4