Exploring AI Agents in Kubernetes

Join us for an exciting kickoff gathering of the Kubernetes Virtual Book Club! In our inaugural session, we delve into the fascinating world of AI agents in Kubernetes with a focus on the key concepts from Chapters 1 and 2 of our selected book. This session will set the stage for understanding AI agents, the Machine Control Protocol (MCP), and their powerful integration within Kubernetes environments. You'll learn about kagent, an open source CNCF project designed to build AI agents on Kubernetes using custom resources and native Kubernetes integrations. This project is vital for supporting various frameworks and handling essential aspects like security and memory. Whether you're a beginner or an advanced Kubernetes user, this session is your gateway to understanding why running AI workloads on Kubernetes is both practical and efficient. Don't miss out on this opportunity to expand your knowledge and connect with fellow Kubernetes enthusiasts. Secure your place today and be part of our journey towards mastering cloud-native technologies together! Visit our CNCF Slack channel #kubernetes-book-club for more info.

▪️ Chapter 1: Introduction to AI Agents and MCP

👉 Setting the stage about AI agents, MCP, how they come together, what value they bring, and why running these types of workloads on Kubernetes makes a lot of sense.

▪️ Chapter 2: Introduction to Kagent

👉 kagent is an open source (CNCF) project to build AI agents on kubernetes using custom resources and native kubernetes integrations. This project has since evolved to support bring-your-own framework and handle things like security, memory, tracing, integrations, and more!

▪️ Chapter 3: Introduction to Kmcp

👉 kmcp is part of the kagent project which helps you quickly bootstrap MCP servers and deploy them to kubernetes. Using kmcp, you can focus on the meat of tools and not the boilerplate of the project. Supports multiple langauges.

▪️ Chapter 4: Introduction to Agentgateway

👉 agentgateway is an opensource project to manage connectivity to LLMs, MCP, A2A, etc. It's built in Rust and natively understands these AI networking protoco