neural-memory
SKILL.md
NeuralMemory — Associative Memory for AI Agents
A biologically-inspired memory system that uses spreading activation instead of keyword/vector search. Memories form a neural graph where neurons connect via 20 typed synapses. Frequently co-accessed memories strengthen their connections (Hebbian learning). Stale memories decay naturally. Contradictions are auto-detected.
Why not just vector search? Vector search finds documents similar to your query. NeuralMemory finds conceptually related memories through graph traversal — even when there's no keyword or embedding overlap. "What decision did we make about auth?" activates time + entity + concept neurons simultaneously and finds the intersection.
Setup
1. Install NeuralMemory
pip install neural-memory
nmem init
This creates ~/.neuralmemory/ with a default brain and configures MCP automatically.