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Research overview

Three tracks, architecture and agenda

Publications

Preprints, software, identifiers

Methodology

Operational standards and validation

Research ethics

Fundamental rights and compliance

Resources

Code, data, citation, open science

Adopt AI

Neutral roadmap & interactive simulation

Public sector & funding

Collaborations in the public sector

Protecting public spaces

Track B — rights-preserving early warning

Technology

The architecture behind every application

Playground

Run the open memory core live

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zensation
Research overviewPublicationsMethodologyResearch ethicsResources
Adopt AIPublic sector & fundingProtecting public spacesTechnologyPlayground
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Independent AI Research Lab

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.

Explore research →ZenBrain on GitHub

We research in the open — and for selected companies we build systems they own afterwards. Work with us→

External data & applicationsStructured memoryDocumentsCommunicationProject planningBusiness intelligenceCodeWeb+Extensible010203040506077 memory layersZenBrainCOGNITIVE CORE
External data & applications
DocumentsCommunicationProject planningBusiness intelligenceCodeWeb+Extensible
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ZenBrainCognitive core
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Structured memory · 7 memory layers

Who we work with

Four ways into our research

Public sector & operational bodiesFundamental-rights-preserving early warning and situational analysis for public spaces — explicitly without biometric identification.→Research & academiaOpen-access publications, methodology, replication material, and persistent identifiers.→Funders & consortiaFunding and consortium pathways, host-readiness, and joint proposals.→CompaniesWe take on a limited number of mandates: audit, pilot sprint, advisory — systems you own afterwards. Eligible for public funding in the DACH region.→

Seven Pillars. One Intelligence.

The ZenBrain architecture connects seven cognitive systems — from working memory to metacognition — into one memory.

Cognitive architecture overview

Cognitive CoreMemoryReasoningAgentsOutputCuriosityPredictionMetacognition

Remembers Everything

7 memory layers — from active context to lasting knowledge, with spaced-repetition-based scheduling.

Thinks in Connections

Cross-context reasoning, multi-step inference, and automatic fact-checking.

Acts Autonomously

Persistent agent loops with checkpoints, tool composition, and dynamic teams. Pause, resume, debate.

Delivers Results

PPTX, XLSX, PDF, DOCX — straight from the chat. CLI agent for the terminal.

Asks on Its Own

Knowledge gap detection, hypothesis engine, information gain scoring.

Recognizes Patterns

Pattern tracking, prediction engine, and prediction error learning.

Knows Its Limits

Confidence calibration, capability profiling, feedback loop. Calibrated uncertainty instead of hallucination.

Architecture

One architecture, many applications

ZenBrain is our open-source memory core. Multiple applications build on it — the same seven-layer architecture, only the domain adaptation varies.

ZenAIAI operating systemCrowdGuardSafety in public spacesYour own applicationson the open-source coreResearch partnersdomain-adaptableZenBrain7-LAYER MEMORY

Memory layers

  1. 01Working
  2. 02Short-Term
  3. 03Episodic
  4. 04Semantic
  5. 05Procedural
  6. 06Core
  7. 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.
ZenAI — applying the ZenBrain memory architecture in a production AI operating system
ZenAI in production: the same ZenBrain architecture as an AI operating system for knowledge work — the same approach extends to further domains.
Explore the whole system interactively→

Research track — public-space safety

CrowdGuard

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.

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

More on the research architecture →Research ethics & compliance →

Measured, not claimed

12 / 12head-to-head comparisons won (3 LLM judges)
91.3%of long-context-oracle accuracy at 1/106 of the token budget
15algorithms, each with a peer-reviewed source
Apache 2.0open-source memory core on npm
Open Accesspreprint (arXiv) + DOI (Zenodo)

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.

Proof, not claims

From paper to production

Our cognitive architecture runs in production systems today. The same algorithms we publish power real software — evidence that the research carries through.

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ZenAI — The AI operating system for the enterprise — consolidates data streams, self-hosted, running in production
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ZenCRM — A shipped iOS app built on the ZenBrain architecture
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ZenBrain — Open-source core on npm — 7-layer memory, Apache 2.0

An open ecosystem. Three paths.

Three ways to work with this research — an open-source core, open-access publications and scientific cooperation.

OPEN SOURCE

Our open core

ZenBrain — the seven-layer memory architecture as an open-source library. TypeScript, zero dependencies, Apache 2.0.

Explore the open core →
PUBLICATIONS

Openly verifiable

Open-access preprint on arXiv, permanently archived with a DOI on Zenodo — including replication material and citation formats.

View the publications →
COOPERATION

Research together

Research collaborations, joint funding proposals and methodological exchange with universities, companies and the public sector.

Discuss a collaboration →

Data sovereignty and compliance

Self-hosting, EU data protection, and EU AI Act conformity are built in as design constraints, not add-ons.

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GDPR-Native — Built for EU data regulations from day one
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EU AI Act Ready — Audit logs, governance dashboard, compliance tools
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Your Infrastructure — Data never leaves your servers — zero cloud dependency
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Traceable AI — Extended Thinking shows every reasoning step
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Scientifically grounded — Published research paper with DOI (10.5281/zenodo.19353663) and arXiv preprint (2604.23878)
zensationIndependent AI research lab · Kiel
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