What question did this study set out to answer?

The aim is to provide a comprehensive guide for implementing the Newcomen Architecture in cognitive systems.

February 25, 2026Open Access

Building a Newcomen: A Practical Implementation Guide

Key Points

The aim is to provide a comprehensive guide for implementing the Newcomen Architecture in cognitive systems.
Outlines environment setup for development.
Describes component construction like hippocampus and cortex.
Explains cognitive loop integration for consistent conversation.
Includes instructions for GRU training and memory consolidation.
Provides support for local GPU and remote API inference.
Offers a complete walkthrough for implementing Newcomen Architecture.
Includes a functional codebase for developers.
Demonstrates effective integration for persistent conversational state.

Abstract

This guide provides a complete implementation walkthrough for the Newcomen Architecture, a hybrid cognitive system combining transformer LLMs, GRU state engines, and vector memory stores for persistent conversational state. It covers environment setup, component construction (hippocampus, hypothalamus, cortex), cognitive loop integration, testing, and advanced modules including GRU training and memory consolidation. The guide supports both local GPU inference and remote API inference via Anthropic, OpenAI, or Mistral, and includes a full working codebase. Companion to: Dew, J. L. (2026). "Attention Is Not All You Need: The Newcomen Architecture for Persistent Conversational State." DOI: 10.5281/zenodo.18728294

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