Building the Future: Unveiling the AI Agent Stack

Abstract

The envisioned AI agent stack represents a transformative approach to building and deploying artificial intelligence systems, integrating critical components such as vertical agents, hosting and serving infrastructure, observability, agent frameworks, memory, tool libraries, sandboxes, model serving, and storage. This comprehensive architecture aims to enhance the efficiency, scalability, and functionality of AI agents in diverse applications and industries. Vertical agents provide specialized expertise, whereas robust hosting and observability ensure reliable performance and proactive management. Agent frameworks and tool libraries streamlined development, memory components enhanced decision-making continuity, and sandboxes enabled safe experimentation. Model serving and secure storage further supports the deployment and maintenance of advanced AI models. This study explores each component's role, benefits, and challenges, presenting a holistic view of the AI agent stack’s potential to drive innovation and efficiency in AI-driven solutions.