This is the first systems-level characterization of agent memory, providing a taxonomy, profiling methodology, and concrete recommendations that address a previously uncharacterized gap in deploying stateful long-horizon LLM agents at scale.
Adopt the classifier-as-architectural-gate pattern in your own agentic pipelines to cut costs, improve output quality, and block harmful inputs before they reach expensive or capable models.