RÉNAI.CORE™Digital Renaissance Metaverse · Independent Infrastructure
The Autonomous Intelligence Core
A model-agnostic cognitive intelligence architecture. Understanding, reasoning, learning, evaluating and adapting — implemented as orchestrated software components with control, governance, auditability and reversibility. Models are components of the core, not the architecture.
v0.1 objective: prove meta-intelligence, dynamic cognitive pattern selection, multi-perspective reasoning, persistent memory, experience memory, self-evaluation and cognitive benchmarking. Every capability below carries its real implementation state.
Implementation register
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PRODUCTIONTested and monitored
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CONNECTEDConnected to real infrastructure
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PROTOTYPEPartially implemented
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PLANNEDDefined, not built
Cognitive pattern library
0 implemented · 0 declared extension points
Core cognitive loop
Every stage is observable. Unimplemented stages say so.
Meta-Intelligence
Classifies the problem, scores complexity and uncertainty, then computes a pattern strategy as a discrete step — not a system prompt instruction.
Multi-Perspective
Independent pattern passes are orchestrated separately, then reconciled by a synthesis step that records agreement, disagreement and contradiction.
Measured, not claimed
Baseline model versus cognitive architecture on a versioned dataset, with dataset, model, engine and criteria versions preserved.
Governed
Server-side enforcement, per-tenant row isolation in the database, audit logging, and no autonomous production self-modification.