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zensation

Research

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Research overview

Three tracks, architecture and agenda

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Methodology

Operational standards and validation

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Publications

Preprints, software, identifiers

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Research ethics

Fundamental rights and compliance

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Resources

Code, data, citation, open science

Collaboration & applications

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Public sector & funding

Collaborations in the public sector

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Adopt AI

Neutral roadmap & interactive simulation

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Protecting public spaces

Track B β€” rights-preserving early warning

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Technology

ZenBrain β€” our open core

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zensation

Research

πŸ”¬Research overviewπŸ“MethodologyπŸ“„Publicationsβš–οΈResearch ethics🧰Resources

Collaboration & applications

πŸ›οΈPublic sector & funding🧭Adopt AIπŸ›‘οΈProtecting public spacesβš™οΈTechnology
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Open Science

Resources

Everything needed to reproduce, cite and build on our research β€” openly accessible. This page bundles code, replication material and citation guidance; the publications themselves are on the publications page.

Code & packages

Open-source software

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

@zensation/algorithmsNeuroscience-grounded memory algorithms, zero dependencies (opens in new tab)@zensation/core7-layer memory coordinator and orchestration (opens in new tab)GitHub β€” zensation-aiSource code of the algorithms and test suites (opens in new tab)

Replication & data

Material for reproducibility

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

Zenodo (DOI)10.5281/zenodo.19353663 β€” permanently archived (opens in new tab)Eval scripts & configsReleased with the respective publications (opens in new tab)

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.

BibTeX
@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

Apache 2.0

Source code and software packages β€” commercial and non-commercial use, modification and redistribution permitted.

CC BY 4.0

Replication material and documentation, where indicated with the respective publication β€” use with attribution.

Persistent identifiers

Where the research is permanently findable

arXiv2604.23878 (opens in new tab)Zenodo (DOI)10.5281/zenodo.19353663 (opens in new tab)ORCID0009-0001-1793-012X (opens in new tab)GitHubzensation-ai (opens in new tab)

The full list β€” including Google Scholar, Semantic Scholar and DUNS β€” 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.

Send a request

More from this research

Related pages

Core and application fields, on a shared ethics foundation.

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

Β© 2026 Alexander Bering / ZenSation Enterprise Solutions

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