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TOPIC OVERVIEW

langchain/Memory

Give your AI application a way to keep useful information across steps or conversations.

15 QuestionsAdvancedHigh Priority ~11 min read

AI applications often need to remember information beyond a single model call. That might mean keeping the messages from the current conversation, saving user preferences, or storing information that can be retrieved later.

Memory is not simply giving the model an unlimited conversation history. Long histories can increase cost and make it harder for the model to focus on what matters. Good memory design decides what information should be kept, where it should be stored, and when it should be brought back into the model's context.

What you'll walk away knowing

The difference between short-term and long-term memory
How conversation state can be maintained
Why sending the entire history is not always a good idea
How memory design affects cost, context, and response quality

No questions match "".

All Topics
1
Basics
Models
Messages
2
Agents
Tools
Middleware
Memory
3
MCP
Multi Agents
Human in the loop
4
RAG
Context Engineering
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