AI Agents can be effectively integrated into existing applications and operates autonomously, making decisions and pursuing goals, asking for human guidance when needed.
Semantic Kernel enables seamless integration within .NET, Java, and Python apps, providing developers with a flexible framework for building intelligent features.
Utilizing the Semantic Kernel Process Framework, developers can define workflows and manage how AI components interact with each other and the application.
At a higher level it is used to orchestrate multi agent solutions provided Azure AI Foundry and executed by Azure AI Agent service.
Together, these technologies empower developers to create more responsive and intelligent applications tailored to user needs.