Published May 3, 2026
| Version v7
Preprint
Open
ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
Description
ZenBrain v7 — LongMemEval-500 Validation, Head-to-Head Wins & Defensive Analyses
A neuroscience-inspired 7-layer memory architecture (Working, Short-Term, Episodic, Semantic, Procedural, Core, Cross-Context) for autonomous AI systems, integrating 15 algorithms grounded in peer-reviewed neuroscience. Unified under a single MemoryCoordinator: 9 foundational mechanisms (Two-Factor Synaptic KG, vmPFC-coupled FSRS, Simulation-Selection sleep, Bayesian confidence, and five more) plus 6 Predictive Memory Architecture components (NeuromodulatorEngine, ReconsolidationEngine, TripleCopyMemory, PriorityMap, StabilityProtector, MetacognitiveMonitor).
v7 Highlights:
• LongMemEval-500 (NEW): matches a long-context oracle's binary-judge accuracy to within 4.5 pp (47.7% vs. 52.2%; 91.3%) at 1/106th of the per-query token cost
• 9-of-9 Head-to-Head Wins: all nine head-to-head answer-quality comparisons (3 competitors × 3 LLM judges) against Letta, Mem0, and A-Mem under Bonferroni-corrected significance (α=0.05/18, p_min=6.2×10⁻³¹, d ∈ [0.18, 0.52])
• Cross-Provider Bias Check: Δ(GPT-Anthropic) = -0.0001 for ZenBrain vs. -0.049 for Mem0 — rules out LLM-judge-specific confounds
• Cooperative Survival Network: stress ablation (decay 0.25/day, 60 days, Wilcoxon, 10 seeds) reveals 9 of 15 mechanisms become individually critical (ΔQ up to -93.7%)
• Multi-Layer Routing Wins: +20.7% F1 on LoCoMo and +19.5% on MemoryArena cross-session dependencies vs. flat single-layer baseline
• Honest Scope: LoCoMo's substring-based aggregate F1 favors lexical retrieval (BM25) by metric design — explicitly acknowledged, not contested
• Extended Defensive Analyses: Bayesian calibration, statistical power, failure-mode taxonomy
Reproducibility: All experiments use Mulberry32 seeded PRNG (10 seeds). Full source code at github.com/Alexander-Bering/KI-AB and github.com/zensation-ai/zenbrain. Open-source under the @zensation npm scope.
47 pages | 27 tables | 3 figures | 11,589 CI tests
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zenbrain-v7.pdf
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Additional details
Related works
- Is identical to
- Preprint: arXiv:2604.23878 (arXiv)