Observable AI cognition
Cognition is studied through measurable runtime state rather than hidden model weights alone.
Cognitive Runtime Lab
The unit behind the project.
Cognitive Runtime Lab is an independent research unit studying externally observable AI cognition. Its work focuses on ADAM, cognitive runtime architecture, concept ecology, goal-directed runtime loops, consolidation substrates, and reproducible experiment pipelines.
ADAM as first testbed
ADAM is the lab's first research system for concept ecology, memory dynamics, goals, and consolidation.
Evidence before claims
Claims are expected to survive replay, boundary checks, cross-seed runs, and artifact audit.
People
Small by design, evidence-first by default.
Lab Principle
Build systems that can be inspected before they are believed.
Cognitive Runtime Lab is organized around one public standard: cognitive claims about AI systems should be tied to observable state, repeatable evidence, and careful limits. ADAM is developed as a versioned research system, not as a closed commercial product.
Identity
Independent research unit
The lab develops the Cognitive Runtime Project and ADAM research system.
Contact
elroy@cognitive-runtime.org
Research correspondence, collaboration inquiries, and artifact requests can be directed here.