Giving Agents Memory and Conversation State
Add short-term and long-term memory to LangChain agents so they remember context across turns and produce coherent multi-step conversations.
Why Agents Need Memory
LLMs are stateless: each call knows nothing about the last unless you tell it. Without memory, an agent forgets your name the instant you say it.
The Context Window
Memory ultimately means stuffing prior info into the context window. That window is finite, so the real challenge is deciding what to keep and what to drop.
All lessons in this course
- Understanding AI Agents & LLMs
- LangChain Core Components Explained
- Building Your First Simple Agent
- Giving Agents Memory and Conversation State