Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/agent-memory-is-not-learning-how-to-decide-what-should-change.
AI agents shouldn't treat every user correction as learning. Here's how to separate memory, feedback, evaluation, and behavior changes in production systems.
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User corrections are valuable, but they aren't automatically lessons. This article explains why production AI agents must separate memory from learning by classifying feedback, evaluating evidence, versioning behavioral changes, and giving users visibility into what an agent remembers. The result is an agent that improves through experience without becoming unpredictable or difficult to control.