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Resonant Field Storage (RFS)

The SMARTHAUS field-native memory substrate. Associative resonance paired with AEAD-backed exact recall, governed by quantitative guardrails.

Flagship Memory System4‑D Field Lattice Ψ(x,y,z,t)

RFS Demo

Experience Resonant Field Storage: dual-channel memory, associative recall, and field-native architecture in action.

What You'll Experience

This interactive demonstration showcases the core capabilities of Resonant Field Storage (RFS), the first field-native memory substrate for AI systems. See how RFS enables deterministic recall, semantic resonance, and energy-bounded memory management.

Dual-Channel Memory

See how RFS maintains both deterministic byte storage and semantic resonance channels, ensuring both precision and context.

Associative Recall

Experience how partial queries surface relevant context through resonant field patterns, not traditional indexing.

Energy-Bounded Operations

Observe how PDE-governed decay and energy budgets prevent memory saturation and maintain system stability.

Demo Capabilities

Memory Encoding

Watch as content is encoded into the 4-D lattice field structure. See how deterministic encoders project content into complex vectors while maintaining byte-level integrity.

  • Sparse operator energy distribution
  • Unitary FFT/IFFT cycle management
  • Capacity guardrails and throttling
  • WAL + snapshot mirroring

Resonant Query

Experience how queries excite resonant modes across the lattice. See peaks ranked by signal-to-noise that expose context, provenance, and suggested follow-ups.

  • Matched filter resonance detection
  • Top-k peak ranking
  • Context and provenance extraction
  • Sub-35ms latency demonstration

Exact Recall

Observe the byte channel inverting the encoding pipeline to reconstruct canonical payloads with AES-GCM validation.

  • Deterministic byte reconstruction
  • AES-GCM integrity validation
  • 100% recall accuracy
  • Provenance traceability

Field Governance

See how field efficiency (η), quality (Q), and capacity headroom are measured continuously with fail-close policies.

  • Real-time efficiency monitoring
  • Quality metrics tracking
  • Auto-drain before saturation
  • Privacy and retention enforcement

Technical Specifications

< 35 ms
Resonance Latency

Median top-k resonance on 8×A100 nodes (1M shards)

100%
Byte Recall Integrity

AES-GCM validation on exact recall payloads

> 12k
Shards/Minute

Sustained ingest with η ≥ 0.35 headroom

~4.6 GB
Demo Footprint

Demo-sized lattice (5 GB cap) incl. WAL + snapshots

Ready to Explore RFS?

Dive into the architecture, review the proofs, benchmark the sandbox, then schedule a technical deep dive with the team that built the field-native memory substrate.