REPNET LAB
OMEGA / Regulative Entropic Processor
Research infrastructure · Live status

Intelligence with traceable decisions.

REPNet Lab is an experimental research platform exploring transparent regulatory computation, causal event provenance, semantic memory and Closure Ethics for autonomous systems.

API availability
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Public health endpoint
Running services
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REPNet Lab Docker infrastructure
Unhealthy services
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Reported by container health checks

Research systems

Blackboard & Event DAG

Event-driven coordination, immutable causal references, provenance and traceable processing stages.

Protected API

Closure Ethics

Explicit evidence dimensions, normative evaluation, shadow auditing and constrained decision authority.

Research / Shadow evaluation

REPNet Cognitive Runtime

Regulative processing, memory, Hebbian mechanisms and research into explainable internal dynamics.

Under development

REPNet Interactive Chat

Planned browser interface for dialogue, memory inspection and regulatory trace visualization.

Web beta integration pending