SMARTHAUS engineers mathematically-governed intelligence systems.

RFS is the first field-native memory substrate that makes them possible.

Mathematical visualization of RFS field-native memory substrate

Resonant Field Storage (RFS)

Field-native memory substrate for Agents 3.0. Dual-channel storage (deterministic bytes + semantic resonance), locality-aware addressing, and energy-bounded recall so identities persist across time slices.

Dual-channel integrity

Deterministic channel for proofs, resonance channel for semantics. Both governed by Autopsy gates.

Locality-aware addressing

Voxelized field layout keeps spatial and temporal adjacency intact for predictable recall.

Energy-bounded recall

PDE-governed decay and bounded energy budgets prevent hallucination and drift.

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Mathematical Autopsy

Enforcement discipline that keeps RFS stable: invariance, energy constraints, explicit reasoning chains, and gates before code ships.

Invariant-first design

Proofs and constraints define what RFS may do; code cannot escape the math.

Energy and decay

Bounded energy budgets and PDE decay keep memory honest across long horizons.

Traceable execution

Every write/read audited; Autopsy gates tie behavior back to formal reasoning chains.

Explore Mathematical Autopsy Deep Dive into the Process

Research Systems on the RFS Stack

Two organism archetypes built on the RFS → AQL → AEF → AIOS stack, currently running as research systems under Autopsy.

Research system

TAI

Personal intelligence system prototype built from RFS with CAIO/MAIA/ALQ/AEF/AIOS and trait governance (NME).

Research system

AIVA

System-building architecture for intelligent applications built on the same RFS-first stack; exercises the full chemistry-to-biology pipeline.

Research

Proofs, benchmarks, and field experiments that validate RFS and the Autopsy method. Research systems stay here until gates clear.

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