There is a newer version of the record available.

Published May 3, 2026 | Version v7

ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems

Authors/Creators

  • 1. ZenSation AI

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

Notes

v7 (2026-05-03): LongMemEval-500 Validation, Competitive Head-to-Head Wins & Defensive Analyses
 
NEW — LongMemEval-500 Benchmark:
- Matches long-context oracle binary-judge accuracy within 4.5 pp
  (47.7% vs. 52.2% baseline; 91.3% relative)
- Achieves this at 1/106th of the per-query token cost
- App. F.5–F.6 + Fig. 2 in paper
 
NEW — Competitive Head-to-Head (Bonferroni-corrected):
- Wins all nine head-to-head comparisons (3 competitors × 3 LLM judges)
- Compared against Letta, Mem0, A-Mem
- α = 0.05/18, p_min = 6.2×10⁻³¹, Cohen's d ∈ [0.18, 0.52]
 
NEW — Cross-Provider Judge-Bias Sanity Check:
- Δ(GPT vs. Anthropic) = -0.0001 for ZenBrain
- Δ(GPT vs. Anthropic) = -0.049 for Mem0
- Rules out LLM-judge-specific confounds
 
Cross-Session Reasoning:
- +20.7% F1 on LoCoMo cross-session dependencies
- +19.5% F1 on MemoryArena cross-session dependencies
- Multi-layer routing vs. flat single-layer baseline
 
Stress Ablation (unchanged from v6, expanded analysis):
- 9 of 15 mechanisms individually critical under stress
  (decay 0.25/day, 60 days, Wilcoxon, 10 seeds)
- ΔQ up to -93.7%
- Cooperative survival network confirmed
 
Sleep Consolidation:
- +37% stability with 47.4% storage reduction (p ≤ 5.1×10⁻³)
- TripleCopyMemory retains S(t) = 0.912 at 30 days
 
NoDecay Ablation:
- Principled forgetting costs only ΔP@5 = 0.002 (p = 0.043)
 
Honest Scope (NEW section):
- LoCoMo's substring-based aggregate F1 favors BM25 by metric design
- Explicitly acknowledged, not contested
- Advantages most pronounced on judge-graded answer quality
  and cross-session reasoning
 
Paper improvements over v6:
- Abstract reframed to lead with LongMemEval-500 + 12/12 wins
  [historical wording; these cells are correctly nine of nine — corrected in v8]
- Extended defensive analyses (Bayesian calibration, statistical
  power, failure-mode taxonomy)
- New tables for head-to-head comparison and cross-provider check
- Honest-scope paragraph added before main results
 
Stats: 47 pages, 27 tables, 3 figures, 11,589 CI tests, Phase 145, 60 tools
 
Correction (2026-08). The changelog entry above is left unchanged — it records what this version did at the time. Its count came from reading the 4 × 3 result grid as one cell per comparison, which includes ZenBrain's own column. These cells are correctly nine of nine: four systems give six pairwise comparisons, three of them involving ZenBrain, times three LLM judges. All nine clear significance under Bonferroni correction (α = 0.05/18 — the denominator is the six pairs × three judges; App. F.2). The wording of record is "wins all nine head-to-head answer-quality comparisons (3 competitors × 3 LLM judges)". Superseded by v8, which carries it.

Files

zenbrain-v7.pdf

Files (353.4 kB)

Name Size Download all
md5:4b5eb4d093af6d2d3cf426f713623c1f
353.4 kB Preview Download

Additional details

Related works

Is identical to
Preprint: arXiv:2604.23878 (arXiv)