Mnemos engine builds synaptic-like agent memory via resonant engrams
RileyRalmuto · x · 2026-09-19
The author describes a newly unlocked memory mechanism in the Mnemos cognitive engine, inspired by neuroscience and acoustic resonance:
- Engrams: when an exchange resonates deeply enough, the agent forms an encoded memory with typed numeric ratings, analogous to a neuron
- Resonance: engram ratings act like musical notes/chords; new experiences trigger engrams with similar frequencies
- Spreading activation: triggered engrams fire signals to nearby similar-frequency engrams, lighting up and strengthening graph connections recursively
- All of this happens within a single turn, forming the agent's turn-by-turn recall
It's a similarity-graph + spreading-activation design for agent long-term memory.
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