Welcome to the M.A.R.K. blog, featuring in-depth articles on modular AI systems, cognitive architecture, and real-world AI deployment. Our articles explore how component-based AI systems work, the benefits of modularity for scalability and maintainability, and practical examples from the M.A.R.K. project. We cover topics including modular AI architecture design patterns, reasoning kernels, perception modules, memory systems, action modules, cognitive architectures that mimic human reasoning, and the future of component-based artificial intelligence.
Whether you are building AI systems, researching cognitive architecture, or simply curious about how modern AI is structured, these articles provide practical insights grounded in real-world implementation. The M.A.R.K. project itself serves as a working example — a browser-based autonomous AI dashboard with voice interaction, AR camera perception, persistent memory, and a modular cognitive kernel coordinating between independent components.
Latest Articles
AI Agent Memory Architecture: How Persistent Memory Transforms AI Systems — Published August 5, 2026. This article explores AI agent memory architecture, covering the five primary memory types: short-term working memory, long-term persistent memory, episodic memory for past interactions, semantic memory for general knowledge, and procedural memory for learned skills. It explains how these layers work together in a retrieve-reason-act-store cycle and why persistent memory is the foundation of next-generation AI systems like M.A.R.K. Read time: 10 minutes.
Cognitive Architecture in AI: How Modular Minds Mimic Human Reasoning — Published July 24, 2026. This article explores cognitive architecture in AI, examining how perception, memory, reasoning, learning, and action modules work together to build systems that think like humans. It covers the differences between monolithic AI and cognitive architectures, real-world applications in autonomous agents and conversational AI, and the future of cognitive design including neuro-symbolic approaches and multi-modal perception. Read time: 6 minutes.
Understanding Modular AI Architecture: How Component-Based AI Systems Work — Published July 23, 2026. This article explains modular AI architecture, breaking down how independent components like reasoning kernels, perception modules, memory systems, and action modules combine to create scalable, maintainable AI. It uses M.A.R.K. as a real-world example, covering benefits like parallel development and easier debugging, and looks at the future of standardised AI component interfaces. Read time: 8 minutes.