Artificial Neural Mesh (ANM): A Modular Multi-Model Cognitive Architecture with Controlled Self-Expansion and Web-of-Thought Reasoning

The Artificial Neural Mesh (ANM) is a modular cognitive architecture built around cooperating specialist models connected through a central Router, Web-of-Thought (WoT) reasoning, a Refiner–Verifier safety pipeline, and vector-based episodic memory. It introduces a structured multi-model system that mimics biological modularity, enabling more reliable reasoning, specialization, and safe controlled self-expansion. This work is released as a research artifact describing an early-stage system (ANM V0), emphasizing architectural design, verification-first reasoning, and reproducibility on consumer hardware rather than state-of-the-art benchmark performance.