Google: Manage Agent Memory and State

Overview

Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization. You've built basic LLM agents that respond to queries—now let's make them stateful.

Use session state to build agents that maintain context, remember user preferences, and provide personalized experiences. Transform agents from stateless responders to intelligent assistants.

Syllabus

• Session State Fundamentals
Session state is a dictionary where your agent stores data it needs to remember and access programmatically. Unlike conversation history (which only the LLM can read), session state gives you code-level access to exact values.
• Dynamic Instructions with State
In Part 1, you learned that session state is a dictionary you can access programmatically. Now you'll learn to inject state values into agent instructions using {var} templating, enabling dynamic agent behavior.
• State Namespaces and Persistence
You've learned to use state for programmatic control and data passing. Now you'll master state namespaces—controlling how long state values persist and who can access them.
• Reading List
Reading List

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Taught by

Google Cloud

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Subjects

Artificial Intelligence