VAAS-X Core Platform

Domain-agnostic episodic memory engine built on Hybrid Centroid Indexing (HCI) and state-action-outcome episodes.

Architecture Overview

One platform, many domains. Every system shares the same core.

Application Layer

Any domain can emit episodes into VAAS-X for durable memory and fast recall.

VAAS-X Core©

VACA arrays store vectorized episodes indexed by HCI. AgentInterfaceModule coordinates ingest and recall workflows.

state + action + outcome → embedding → HCI index

Applications

Applications query the core to recall similar episodes and make better decisions in <100ms.

Core Components

HCI

Hybrid Centroid Index for fast similarity recall.

  • CPU-only performance
  • Deterministic bucket routing
  • Scales across VACA arrays

SAO

State-action-outcome memory model.

  • Canonical episode schema
  • Outcome tracking
  • Audit-ready provenance

OKE©

Orthogonal-key encryption for privacy-preserving search.

  • Encrypt embeddings before storage
  • Preserve cosine similarity
  • No plaintext vectors in the index

VACA

Vector-augmented cognitive arrays for durable memory.

  • Compaction and retention
  • Routing metadata
  • Episode durability

AgentInterfaceModule

Operator interface for ingest, search, and workflow control.

  • Unified admin UI
  • API + tools integration
  • Operational visibility

Deployment Patterns

These patterns match the configuration described in the core product specification.

Single-Node Development

Run router and one shard on a single machine.

  • Good for prototypes and demos
  • Low resource requirements
  • Fast feedback loop

Multi-Shard Deployment

Horizontal scaling across multiple shards.

  • Separate arrays per domain or region
  • Billions of episodes across the fleet
  • Resilient to shard failures

Edge Brains

Lightweight shards close to where decisions are made.

  • Autonomous vehicles and robotics
  • On-premise deployments
  • Low-latency control loops

Episode Model

Every domain specializes the same basic structure.

State

What the world looked like at decision time.

  • Environment, context, and inputs
  • Domain-specific metadata

Action

What the system or human did.

  • Commands, APIs, or control signals
  • Strategies and playbooks

Outcome

What happened as a result.

  • Success or failure
  • Time, cost, and quality metrics

Runnable Demos

Two scripts that start a local shard + router, ingest episodes, finalize, and query.

Support KB Demo

Ingest a small support knowledge base and retrieve answers with similarity search.

  • Auto-starts local shard + router
  • Ingests SAO episodes via /ingest_batch
  • Runs example queries and prints top matches
py .\scripts\testing\run_support_kb_vaca_test.py

Full Text Corpus Demo

Ingest a small text corpus as episodic memory and validate retrieval quality.

  • Auto-starts local shard + router
  • Ingests ~40 text chunks as episodes
  • Finalizes and queries using /search
py .\scripts\testing\run_vaasx_full_test.py