We present GodNode, a novel neuro-symbolic architecture that integrates Hyperdimen-sional Computing (HDC), hierarchical memory systems, and paraconsistent logic within aunified vector-symbolic framework. Unlike conventional neural networks that suffer fromcatastrophic forgetting and opaque reasoning, GodNode employs three distinct memory hi-erarchies (token, phrase, theme) with explicit binding and bundling operations. Our keyinnovation is a paraconsistent logic engine that performs non-explosive inference in high-dimensional vector space, enabling stable reasoning under contradictory premises. The sys-tem achieves 8-bit quantization through deterministic semantic coupling (MP8C), reducingmemory footprint by 4× while preserving semantic discriminability. We demonstrate multi-lingual text generation, logical inference with contradiction tolerance, and emotional steeringthrough vector arithmetic. GodNode operates entirely on edge devices with <100MB mem-ory requirements, offering a transparent alternative to transformer-based systems.Keywords: Hyperdimensional Computing, Vector Symbolic Architectures, ParaconsistentLogic, Neuro-Symbolic AI, Hierarchical Memory, Quantized Neural Networks