Resources

Code & packages

Open-source software

The memory algorithms are published as standalone packages under Apache 2.0 — TypeScript, with no external runtime dependencies.

Replication & data

Material for reproducibility

Replication packages, eval scripts and configurations are released with the respective publications and permanently archived on Zenodo.

Research data is collected under the data-minimisation principle of Art. 89 GDPR. In the public-safety track no biometric features arise; annotation schemes are limited to the minimum the research question requires.

Citation

How to cite our work

BibTeX entry for the ZenBrain preprint. arXiv and Zenodo refer to the same work; the Zenodo DOI is the citable, persistent anchor.

@misc{bering2026zenbrain,
  author        = {Bering, Alexander},
  title         = {{ZenBrain}: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems},
  year          = {2026},
  eprint        = {2604.23878},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  doi           = {10.5281/zenodo.19353663}
}

Licences

Terms of use

Persistent identifiers

Where the research is permanently findable

The full list — including Google Scholar, Semantic Scholar and DUNS — is on the publications page.

Data & replication

Request data or replication material

For access to replication material, eval configurations or methodological questions, we welcome your message.

More from this research

Related pages

Core and application fields, on a shared ethics foundation.

• Research →Three tracks: cognitive architectures, safety in public spaces, applied AI.
• Technology →ZenBrain in depth — 7 memory layers, algorithms, RAG pipeline, performance.
• Adopt AI →A neutral roadmap for AI adoption — prioritisation, stage-gates, KPIs and EU AI Act / GDPR governance, with an interactive simulation.
• Methodology →Pre-registration, reproducibility, external validation, data minimisation — operational standards in detail.
• Publications →arXiv, Zenodo (DOI), software releases, open-access principles.
• Benchmarks →ZenBrain by the numbers: every figure with its method, source and verification link.
• Research ethics →GDPR Art. 89, AI Act Art. 5, Brokdorf line. Eight mandatory corrections.
• Public sector & funding →Research offerings for BMBF, BBK, universities and research consortia.
• Principal Investigator →Profile, background, identifiers, contact paths.