Agentic AI is reshaping how enterprises think about automation, decision making, and scalability. But building a real-world agent is not as simple as prompting a chatbot. Production-ready agentic systems require more than language models: they demand a unified architecture that coordinates reasoning, orchestrates tools, maintains memory, safeguards data, and governs behavior.

This e-book takes a technical look at that architecture, grounded in Red Hat’s open source approach. From inference and tool orchestration to safety and observability, each building block must be modular, security focused, and ready for production. That’s where Red Hat® AI comes in. Built with Red Hat OpenShift® AI and powered by Llama Stack, Red Hat AI is a platform that provides the scaffolding to construct, deploy, and manage intelligent agents at scale.

Rather than navigating fragmented frameworks and inconsistent toolchains, organizations can use Red Hat AI to standardize how they build and scale agentic workflows. Through open standards such as the Model Context Protocol (MCP), Red Hat helps unify how agents discover and use tools. By integrating safety, evaluation, and infrastructure automation, Red Hat helps teams go from proof-of-concept to production with greater repeatability and trust.