RNN-style evolving memory states could make AI agents stronger than retrieval
LeadershipNo2904 · reddit · 2026-11-14
The author argues that today's retrieve-then-generate agent paradigm may be insufficient: stronger agents might maintain an evolving compressed memory built from conversations, actions, observations, and reasoning traces. Each new prompt would decide what to remember, forget, and update — a read→update→reason→act→store loop similar to LSTM-style memory management applied to agent reasoning. Conceptual proposal, no implementation details.
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