Real memory.A cognitive architecture.Collective intelligence.
Humans and machines on an architecture that retains knowledge and structures decisions — researched in the open: from AI-assisted knowledge work to safeguarding public spaces, without biometric identification.
What we publish, what we release as code, and where the architecture is in use.
Research
Preprint on arXiv (2604.23878) and open records with DOIs on Zenodo.
Five works cite ZenBrain (as of 28 September 2026): a survey by the Sico team at Microsoft Research, MindMemOS by Huawei's Noah's Ark Lab, the EVD preprint, the HindsightTag manuscript and the Lamperouge manifesto.
ZenBrain is our open-source memory core. Multiple applications build on it — the same seven-layer architecture, only the domain adaptation varies.
Memory layers
01Working
02Short-Term
03Episodic
04Semantic
05Procedural
06Core
07Cross-Context
The architecture is designed domain-agnostically. Research partnerships, public-sector cooperations, and industrial applications can build on this open-source core without modifying it.
Research on early recognition of critical situations in public spaces and at mass-casualty incidents — with civil liberties built into the architecture by design.
What we explicitly do not do
✗No facial recognition
✗No biometric identification
✗No real-time person tracking
What we work with
✓Skeletal and motion data — without facial features
✓Three-outlier model differentiating source / helper / knower
✓Helper protection as an explicit objective
Research prototype · GDPR Art. 89 · designed under the EU AI Act
Empirical results from the open-access preprint (arXiv 2604.23878), LongMemEval-500 benchmark with three independent LLM judges. Methodology and full results on the publications page.
An open ecosystem. Three paths.
Three paths to work with this research — an open-source core, open-access publications and scientific cooperation.
OPEN SOURCE
Our open core
ZenBrain — our memory core as an open-source library. TypeScript, zero dependencies, Apache 2.0.
Self-hosting, EU data protection, and the EU AI Act's transparency duties are built in as design constraints, not add-ons. We provide the architecture, not a certificate.
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No third-country transfer — Built for EU data regulations from day one
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Every operation logged — Designed for the EU AI Act's transparency and governance duties.
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Your Infrastructure — Data never leaves your servers — zero cloud dependency
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Traceable AI — Every reasoning step stays traceable.
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Scientifically grounded — Published research paper with DOI (10.5281/zenodo.19353663) and arXiv preprint (2604.23878)
Verify, don't take our word.
The paper, the code, and the Playground are open — check our work before you trust it. For companies that want to build their own system on it — one they own afterwards — working together is the next step.