causal-memory

causal-memory An agent memory system with a causal core — and the only one that models inhibition.

Facts, temporal state, and decision → outcome causal edges on one SQLite store, powered by a hippocampus-style engine: typed spreading activation (excitatory and inhibitory), Hebbian co-occurrence reinforcement, Q-value dynamics, and immutable SWR consolidation.

Agents recall what happened, when it was true, why it worked — and what would happen if they acted differently.English · 简体中文 --- Why Every agent forgets why it made past decisions after a few context compactions.

It re-fixes the same bug the same wrong way, re-debates the same architecture choice, relearns the same lesson.This happens because causal information is the most fragile type under text compaction .

Real-LLM benchmark (grok-build's production compaction prompt): Compactions (k) Textual recall Causal-table recall --- ---