Why agent memory should be model-agnostic

Models come and go. The model your agent runs on today may be deprecated next year — and when it is, your agent shouldn't lose everything it learned.

That's the case for keeping memory outside the model. AgentMemo stores memories as plain text + embeddings behind a neutral API. Swap Claude for GPT for Llama; the memory layer doesn't change. Your agent keeps its history, its preferences, its context.

Memory is infrastructure, not a model feature. Own it separately.

← All posts