WEBINAR

26 June / 11:00 am - 12:00 pm EEST

Session Information

As AI systems evolve from isolated tools to collaborative agents, the need for structured, intelligent communication between agents becomes critical. In this session, we will explore most common agent-to-agent communication patterns using Microsoft’s Semantic Kernel, a powerful orchestration framework for integrating AI capabilities into applications.

We’ll dive into how to define agents as modular SK plugins with encapsulated skills, memory, and goals, implementing message-passing, and event-driven coordination, techniques for maintaining shared context across agents and using natural language prompts and function calling to dynamically route tasks between agents.

By the end of this session, you’ll have a clear understanding of how to design and implement robust most common communication patterns between AI agents, unlocking new levels of automation and intelligence in your applications, and how to make agents work for your business needs.