Quantum Agent Memory

QAOA-powered memory management for AI agents. Three quantum layers replace classical heuristics for clustering, compaction, and recall.

Companion to Quantum Memory Graph (QMG) v1.2 — #1 on LongMemEval (98.6% R@5).

Three Quantum Layers

Layer 1: Clustering

Group N memories into coherent clusters via balanced graph-cut QAOA.

• Cost matrix: temporal (25%), relational (30%), categorical (25%), recency (20%)
• 100% optimal for n≤14, speed crossover at n=20

Layer 2: Compaction

Select optimal K memories to keep from M total.

• Maximizes coverage + coherence + value + recency with budget penalty
• Beats greedy selection by ~1% consistently