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Google

How to Build AI Agents with Memory

Google via YouTube

Overview

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Learn to build AI agents with persistent memory capabilities through this comprehensive 45-minute tutorial featuring Google's Sita Lakshmi Sangameswaran and Kimberly Milam. Discover the fundamental differences between volatile and persistent memory in AI systems, and master the complete process of generating, storing, and retrieving information across multiple conversations. Explore agentic memory concepts and get hands-on experience with Google's Agent Developer Kit (ADK) memory services through detailed code walkthroughs. Build a simple conversational agent from scratch while learning to implement Vertex AI Memory Bank for enhanced memory management. Understand memory generation processes, consolidation techniques, and automated memory generation using callbacks. Master advanced customization options including memory storage and extraction configurations, plus learn to set time-to-live (TTL) parameters for memory optimization. The tutorial includes practical code examples, community Q&A session, and comprehensive coverage of the Agent Engine SDK for memory generation, making it essential for developers working with conversational AI and intelligent agent systems.

Syllabus

0:00 - The problem with forgetful AI agents
0:34 - What you'll learn in this video
1:15 - Agentic memory concepts
2:58 - Introduction to ADK memory services
3:51 - Code walkthrough: Build a simple conversational agent
5:20 - Source code for different memory services in ADK
10:20 - Define Vertex AI Memory Bank
12:19 - How Memory generation works in InMemoryMemory service
17:40 - How to use Vertex AI Memory Bank with ADK
22:45 - Agent Engine SDK to generate memories
24:20 - Memory consolidation
26:58 - Automate memory generation with callbacks
28:44 - Search and use memory in your agent
34:10 - Customize Memory storage and extraction
38:51 - Set TTL for memories
41:58 - Eng Talk: Community questions
44:08 - Recap

Taught by

Google Developers

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