D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing
Autonomous LLM agents require structured long-term memory, yet current "append-and-evolve" systems like A-MEM face O(N^2) write-latency and excessive token costs. We introduce D-MEM (Dopamine-Gated Agentic Memory), a biologically inspired architecture that decouples short-term interaction from cognitive restructuring via a Fast/Slow routing system based on Reward Prediction Error (RPE). A lightweight Critic Router evaluates stimuli for Surprise and Utility. Routine, low-RPE inputs are bypassed or cached in an O(1) fast-access buffer. Conversely, high-RPE inputs, such as factual contradictions or preference shifts, trigger a "dopamine" signal, activating the O(N) memory evolution pipeline ...
| Authors | Yuru Song, Qi Xin |
|---|---|
| Primary category | q-bio.NC |
| Published | 15 March 2026 |
| Last updated at source | 15 March 2026 |
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