Giving AI Agents Memory That Learns — Jake Broekhuizen, LangChain
Source
youtube.com
Author
AI Engineer
Date
Why it matters
Observability alone does not make an AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → improve. This shows how to filter traces for signal and write lessons back as context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → the agent reads next run, and when a human should review procedural changes.
Terms in this piece · Glossary
distillation — Training a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.