Chain of Thought The Emerging AI Agent Stack | CrewAI’s João Moura
The AI Agent Stack Is Revolutionizing Enterprise Automation
João Moura outlines how the AI agent stack is fundamentally reshaping technology infrastructure for enterprises by addressing provisioning, authentication, and evaluation at scale. As companies plan to run hundreds or thousands of agents, the key challenges shift from basic capabilities like memory handling to complex issues such as orchestration, reliable authentication, and comprehensive measurement.
He emphasizes that this stack encompasses not only agents but also surrounding components like data management, orchestration frameworks, and agentic applications with natural user interfaces. The infrastructure landscape itself is evolving, with some companies reconsidering cloud reliance in favor of self-hosting or on-premise solutions to manage massive agent fleets more cost-effectively.
Moura also highlights that while existing protocols such as HTTP remain valuable, new communication protocols tailored for multi-agent systems are emerging, driving a market shakeup as major players strive to establish standards and ecosystems for agent interoperability.
Defining the AI Agent Stack
- The AI agent stack is a multi-layered suite including data management, orchestration, authentication, and agentic apps.
- Companies must handle provisioning, measurement, and evaluation to scale hundreds or thousands of agents in production.
AI Agents Shake Infrastructure & Market
- The emergence of multi-agent systems is shaking up infrastructure, protocols, and the market.
- Companies are reconsidering cloud, on-prem, and physical servers for cost and scalability reasons.