CORE-AI: Versor Engine

A cognitive field system built on Cl(4,1) Conformal Geometric Algebra.

Core invariant: ||F * reverse(F) - 1||_F < 1e-6 at all times.

All state is a versor. All transitions are versor products. Coherence is algebraic by construction — not monitored, not corrected.

Quick Start

pip install -e ".[dev]"
pytest tests/test_versor_closure.py  # must pass before anything else
pytest tests/

Architecture

raw input -> ingest/gate.py       (normalize once)
          -> field/propagate.py   (versor_apply every step)
          -> generate/stream.py   (nearest by cga_inner)
          -> vault/store.py       (store and recall by cga_inner)
          -> persona/motor.py     (rigid motor, not weight overlay)

The Two Primitives

versor_apply(V, F) = V * F * reverse(V) — the only field transition
cga_inner(X, Y) = -d^2 / 2 — the only distance metric

Layers

Layer	Purpose
`algebra/`	Cl(4,1) multivector math, versor ops, CGA, holonomy
`ingest/`	Single injection gate — the only normalization site
`field/`	FieldState dataclass and propagation loop
`vocab/`	Word-to-versor manifold, edge rotors
`vault/`	Exact CGA inner product memory store
`persona/`	Persona as CGA motor (screw motion)
`generate/`	Token streaming loop
`session/`	Session binding: field + vault + vocab + persona

Signature

Cl(4,1): (+, +, +, +, -) — conformal model of 3D Euclidean space. Multivectors: float32 arrays of shape (32,), ordered by grade.

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