Build Long-running AI agents that pause, resume, and never lose context with ADK

This tutorial demonstrates how to build long-running AI agents using Google's Agent Development Kit that maintain state across weeks without losing context.

• •Stateless chatbots fail on extended workflows due to prompt pollution, token explosion, and hallucinations during idle periods
• •State machines with explicit checkpoints (START, WELCOME_SENT, DOCUMENTS_SIGNED, etc.) replace conversation history as the source of truth
• •Tool functions atomically update session state, creating automatic checkpoints that survive container restarts
• •Persistent session storage with SQLite or Cloud SQL enables agents to pause, resume, and scale to zero without losing in-flight operations
• •Multi-agent delegation distributes complex tasks like IT provisioning to specialized sub-agents