The Synthetic Cognitive Augmentation Network introduces a novel, biologically inspired artificial intelligence framework designed to replicate and enhance human cognitive functions through a modular architecture. By emulating specialized regions of the prefrontal cortex, the Synthetic Cognitive Augmentation Network utilizes dedicated artificial intelligence agents to manage distinct cognitive tasks such as decision-making, problem-solving, and emotional regulation. This paper outlines the Synthetic Cognitive Augmentation Network’s conceptual framework, the theoretical foundations of its modular design, and the advantages of precision-engineered artificial intelligence agents for cognitive enhancement. Demonstrating the feasibility of the Synthetic Cognitive Augmentation Network paves the way for future advancements, including components of the Synthetic Cognitive Augmentation Network ecosystem like the Synthetic Cognitive Augmentation Network Using Experts or User Extensible, which will incorporate adaptive learning and artificial intelligence alignment methodologies [1], and the Spiking Transformer Augmenting Cognition, a hybrid architecture combining spiking neural networks and transformers to further enhance cognitive simulations. Additionally, this work highlights design-based research conducted via the Cognitive Augmentation User Survey Evaluation, which has informed the development of the Synthetic Cognitive Augmentation Network Using Experts or User Extensible. The Alignment Questionnaire assesses cognitive functioning and personal preferences to align the Synthetic Cognitive Augmentation Network Using Experts or User Extensible with individual needs, promoting a better fit based on personalized decision-making and problem-solving characteristics [2]. This paper primarily focuses on the foundation of the Synthetic Cognitive Augmentation Network and introduces the supporting and future components of the Synthetic Cognitive Augmentation Network.