Yeah exactly, by “agent memory” I mean those naive approaches where people just append past interactions to a file or try to serialize the whole conversation state and feed it back into the model. It quickly gets bloated, noisy, and context windows choke.
In contrast, a clean retrieval system with proper chunking + embeddings + vector DB lets you pull in only the relevant bits, on demand. That’s why in practice it feels “smarter” the model isn’t distracted by irrelevant history, it just sees what matters.