04
// FLAGSHIP_PROJECT

CASE STUDY

FAIMatrix is the product surface for FAIM-Native: deterministic memory, contradiction-aware retrieval, and fully auditable AI knowledge infrastructure.

FLAGSHIP_PROJECT

FAIM-Native: Fractal Antisymmetric
Inheritance Memory

Production AI Memory Graph Engine | Zero ML, Fully Deterministic

ROLE: SOLO_OWNER
SCOPE: ARCHITECTURE → BACKEND → FRONTEND → SECURITY → TESTS → DOCS → RELEASE
720TESTS PASSING
167PYTHON MODULES
40+PHASES SHIPPED
119KWORDNET EMBEDDED
0ML RUNTIME DEPS
17DB MIGRATIONS
// PROBLEM
AI agents suffer from context drift: they accumulate facts but cannot detect when new information directly contradicts stored beliefs, causing silent reasoning failures.
No open solution provided deterministic, ML-free memory with anti-contradiction enforcement, inheritance-weighted novelty tracking, and per-tenant isolation.
// SYSTEM_DESIGN
Antisymmetric Operator: cosine similarity detects opposing memory vectors (score < -0.5) and deterministically merges or cancels contradictions
Inheritance Graph: each node computes weighted parent fractions (sum=1) + residual novelty score via pure cosine arithmetic, no ML
10-Signal Re-ranker: char, word, phrase, entity, graph, temporal, concept, evidence, opposition penalty, redundancy penalty
FIG View: live Fractal Inheritance Graph canvas with node neighborhood, timeline overlays, and memory signal cards
Multi-tenant write/search APIs with provenance tracking from ingested source to retrieved memory
API key lifecycle: create / list / rotate / revoke with scoped authorization and full audit timeline
// SECURITY_MODELCRITICAL
Key expiry and revocation: effect immediate across all tenants at middleware level
Scope-based authorization with 403 on missing scopes, enforced before any storage access
Per-tenant data isolation at the PostgreSQL storage layer
Idempotent write path with safe retry behavior and exponential backoff
Fully deterministic operations: zero ML randomness, every output is auditable and reproducible
// VALIDATION
720 tests passing across backend, acceptance, and e2e suites. Production gate is green.
40+ engineering phases shipped: platform build, retrieval engine, auth/API keys, self-evolution, runtime realization
MyPy Strict + Bandit security scan + Ruff across all 167 Python modules: zero violations
Docker-composed microservice stack: API:8000 · Frontend:8010 · PostgreSQL:8020 · Redis:8030 · Qdrant:8040