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.
We research in the open — and for selected companies we build systems they own afterwards. Work with us
Who we work with
The ZenBrain architecture connects seven cognitive systems — from working memory to metacognition — into one memory.
7 memory layers — from active context to lasting knowledge, with spaced-repetition-based scheduling.
Cross-context reasoning, multi-step inference, and automatic fact-checking.
Persistent agent loops with checkpoints, tool composition, and dynamic teams. Pause, resume, debate.
PPTX, XLSX, PDF, DOCX — straight from the chat. CLI agent for the terminal.
Knowledge gap detection, hypothesis engine, information gain scoring.
Pattern tracking, prediction engine, and prediction error learning.
Confidence calibration, capability profiling, feedback loop. Calibrated uncertainty instead of hallucination.
Architecture
ZenBrain is our open-source memory core. Multiple applications build on it — the same seven-layer architecture, only the domain adaptation varies.
Memory layers
Research track — public-space safety
Research on early recognition of critical situations in public spaces and at mass-casualty incidents — explicitly without biometric identification, with civil liberties built into the architecture by design.
Research prototype · GDPR Art. 89 · designed under the EU AI Act
Proof, not claims
Our cognitive architecture runs in production systems today. The same algorithms we publish power real software — evidence that the research carries through.
Three ways to work with this research — an open-source core, open-access publications and scientific cooperation.
ZenBrain — the seven-layer memory architecture as an open-source library. TypeScript, zero dependencies, Apache 2.0.
Explore the open core →Open-access preprint on arXiv, permanently archived with a DOI on Zenodo — including replication material and citation formats.
View the publications →Research collaborations, joint funding proposals and methodological exchange with universities, companies and the public sector.
Discuss a collaboration →Self-hosting, EU data protection, and EU AI Act conformity are built in as design constraints, not add-ons.