SUBSTRATE
92-layer cognitive framework. Persistent identity, causal memory, values, narrative reasoning, and self-reflection. Entities that learn and evolve.
Three operations that transform stateless AI into persistent cognitive entities with identity, memory, and values.
Send input to a named entity. SUBSTRATE routes through causal memory, value architecture, personality, and narrative layers to produce a contextually grounded response.
Trigger multi-level reflection. L1 extracts patterns, L2 identifies contradictions, L3 generates insights. Each reflection deepens the entity's self-model.
Over time, entities develop stable values, behavioral patterns, and autobiographical narratives. Sleep consolidation compresses memories. Trust scores track consistency.
Episodic memory with causal rule extraction. Consequence tracking with exponential decay. Sleep consolidation compresses and integrates memories over time.
Entities develop stable values through interaction. UASV affect model tracks emotional responses. Metacognition monitors reasoning quality and uncertainty.
Cryptographic identity with continuity tracking. Autobiographical narrative that evolves over time. Personality models that shape response style and decision-making.
Mutual modeling of users and environments. Knowledge graph with provenance tracking. Theory of mind for understanding other agents' perspectives.
Behavioral verifier validates entity actions. Conformal RAG with statistical coverage guarantees. Trust chain tracks consistency across interactions.
1,000 concurrent entities on Enterprise tier. GOAP workflow planning. License-gated layer access. On-premises deployment with compiled binary distribution.