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Giving AI Agents Memory That Learns — Jake Broekhuizen, LangChain

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youtube.com
Author
AI Engineer
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Why it matters

Observability alone does not make an improve. This shows how to filter traces for signal and write lessons back as 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.
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