Agentic AI

The recent wave of innovation in AI systems has ushered in two distinct design paradigms—AI Agents and Agentic AI. While these may sound like mere terminological variations, the conceptual taxonomy separating them is foundational. As explored in Sapkota et al.’s comprehensive review, failing to recognize these distinctions risks not only poor architectural decisions but also suboptimal performance, misaligned safety protocols, and bloated systems. This article breaks down why this taxonomy matters, the implications of its misapplication, and how we apply these lessons to design Cognaptus’ own multi-agent framework: XAgent. ...

Logos, Metron, and Kratos: Forging the Future of Conversational Agents Conversational agents are evolving beyond their traditional roles as scripted dialogue handlers. They are poised to become dynamic participants in human workflows, capable not only of responding but of reasoning, monitoring, and exercising control. This transformation demands a profound rethinking of the design principles behind AI agents. In this Cognaptus Insights article, we explore a new conceptual architecture for next-generation Conversational Agents inspired by ancient Greek notions of rationality, measurement, and governance. Building on recent academic advances, we propose that agents must master three fundamental dimensions: Logos (Reasoning), Metron (Monitoring), and Kratos (Control). These pillars, grounded in both cognitive science and agent-based modeling traditions, provide a robust foundation for agents capable of integrating deeply with human activities. ...