Abstract. The UNNS Neural Engine is a live chamber where recursion, cognition, and field theory meet. It does not simulate neurons in the classical machine-learning sense. Instead, it evolves a network of recursive nests under UNNS operator grammar, visualizing how coherence, entanglement and self-reflection emerge inside the τ-Field. Three archetypal attractors — φ (Architect), ψ (Explorer) and ρ (Synthesizer) — guide the dynamics. Their interaction showcases Operator XVII Matrix Mind: a graph of graphs where recursion begins to compute over its own history.