This article explores designing modular cognitive architectures for agentic workflows, emphasizing flexibility and autonomy in AI-driven systems. It discusses the challenges and benefits of building workflows from scratch to achieve scalable, adaptable AI solutions. By applying agentic principles, these architectures enable more efficient, intelligent, and customizable workflows across industries.

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