Mastering AI Agent Architecture: Google ADK Runner & Session Services

This content covers Google's Agent Development Kit (ADK) architecture for production-grade AI agents, focusing on the core components that every agent requires. It explains the Runner and Session Services as fundamental building blocks that enable reliable, scalable agent execution. The architecture provides a standardized foundation for developing, deploying, and managing AI agents in production environments.

Key Points

• •Google ADK provides a standardized core architecture that all production AI agents must implement
• •Runner component handles agent execution lifecycle and task orchestration
• •Session Services manage state persistence and multi-turn conversation continuity
• •Architecture separates concerns between execution logic and session management
• •Production-grade agents require both Runner and Session Services working in tandem
• •ADK architecture enables scalability and reliability for enterprise AI deployments
• •Session Services maintain context across multiple agent interactions
• •Runner abstracts complexity of agent task execution and error handling

Workflow Diagram

Concepts