System blueprint
RFS treats memory as physics. The encoding, field assembly, resonance, and byte recall stages each come with formal guarantees and measurable guardrails. Use this reference to understand how software services interact with the lattice in production.
1. Encoding Pipeline
Signals enter through deterministic encoders. Sparse projectors spread payloads across the lattice, while unitary FFT/IFFT cycles keep amplitudes bounded.
- Semantic encoders produce complex vectors with amplitude + phase
- Spreading operators Hₖ distribute energy across Ψ(x,y,z,t)
- Phase masks Mₖ = e^{iφₖ} ensure constructive interference for related content
2. Field Assembly
All shards inhabit the same lattice. Capacity policies throttle inserts to maintain headroom; the WAL mirrors every write for replay and rollback.
- Capacity guardrails track η (efficiency) and headroom in real time
- Write-ahead log + snapshots enable deterministic replay
- Thermal budgets prevent energy accumulation that would wash out peaks
3. Resonance Queries
Associative retrieval solves for peaks in the correlation surface. Matched filters run in parallel, surfacing contextual hits in constant perceived time.
- Resonance executors compute ⟨Ψ, q⟩ using FFT-based convolution
- Peaks ordered by signal-to-noise with provenance metadata
- Prometheus counters expose Q (quality) and response latency
4. Byte Recall
When exact recall is requested, AEAD-sealed byte shards are reconstructed using a deterministic inversion map, then verified against integrity tags.
- Inversion pipeline applies conjugate operators to recover payloads
- AES-GCM tags guarantee integrity of each reconstructed segment
- Retention policies enforce programmable TTL + legal holds
Interface surfaces
RFS exposes REST and gRPC endpoints plus an internal SDK. Encoders and projectors run in isolated containers to keep payloads deterministic. Telemetry streams feed the SmartHaus observability fabric so operators can watch Q, η, request latency, and thermal budgets in real time.
For air-gapped deployments, the lattice runtime runs on GPU clusters with sealed boot + attestation. Snapshots compress efficiently thanks to unitary operators; WAL segments can be shipped to cold storage for forensic replay.
Deployment checklist
- ☑ GPU or high-core CPU nodes with consistent FFT throughput
- ☑ Encrypted WAL + snapshot storage (AES-256 / GCM)
- ☑ Observability hooks for Q, η, capacity, thermal metrics
- ☑ Runbooks for fail-close conditions and auto-drain
Open Integration Surface
RFS is designed as a substrate that other systems can build upon. The integration surface—APIs, protocols, and mathematical contracts—is open and documented.
Public APIs & Protocols
- gRPC Service Definition:
proto/rfs.protodefines the core service interfaceStore— Store data in the resonant fieldRetrieve— Exact byte recall with AEAD verificationSearch— Associative search via resonance- Streaming support for large payloads
- Mathematical Contracts: All public lemmas and invariants define the mathematical guarantees that any RFS implementation must satisfy
- OpenAPI Specifications: REST endpoints documented for HTTP integration
What's Open for Integration
✅ Public:
- Service API definitions (gRPC, OpenAPI)
- Mathematical foundations (core lemmas, invariants)
- Protocol specifications
- Integration patterns and examples
- Mathematical verification notebooks
🔒 Proprietary:
- Hardware-specific optimizations (Metal/CUDA implementations)
- Calibration constants and tuning parameters
- Operational procedures and deployment configurations
- Performance optimizations and implementation details
Building on RFS
RFS is designed to be integrated into larger systems. The mathematical substrate provides the guarantees; the APIs provide the integration surface. Whether you're building a RAG system, a knowledge graph, or a specialized memory layer, RFS provides the mathematical foundation.
For Researchers & Partners
We provide extended documentation, proof suites, and integration support under appropriate agreements. Contact us to discuss collaboration opportunities.
Contact UsNext steps
Move on to the mathematics page for the proofs behind each stage, or review the operations playbook to understand governance obligations.