Learn to build an agent with long-term memory in Long-Term Agentic Memory with LangGraph ! Created in partnership with LangChain, and taught by its Co-Founder and CEO, Harrison Chase.
Imagine you had a human personal assistant who forgot about their previous conversation with you—not ideal. The same goes for Agents.
The main use cases for agents include personal assistance and productivity tasks. One core aspect of these tasks is long-term memory.
In this course, you will learn how to build an agent with long-term memory by creating a personal email agent that can respond, ignore, and notify the user using writing, scheduling, and memory tools. You’ll develop your agent’s memory by adding facts to its memory store, providing examples to learn the user’s preferences, and optimizing system prompts to evolve instructions based on previous responses.
By the end of this course, you will have the foundational mental framework to build an agent with long-term memory using LangGraph.