How to build AI agents with memory

From the creator

Join Google's Sita Lakshmi Sangameswaran and Kimberly Milam, the tech lead for Vertex AI Memory Bank, as they walk you through the complete playbook for building agents that remember. You will learn the difference between volatile and persistent memory, how to generate, store, and retrieve information across conversations, and even how to customize your agent's memory with a time-to-live (TTL). Resources: Code from this tutorial → https://goo.gle/3ISrbw7 ADK Memory docs → https://goo.gle/3IRLY2O Learn more about Vertex AI Memory Bank → https://goo.gle/472zTkJ How memory makes AI agents more effective video → https://goo.gle/4q7Vfos Remember this: Agent state and memory with ADK video → https://goo.gle/46Iupvp The Agent Factory - Episode 4: Remember me, memory in agents video → https://goo.gle/3KMqSn8 Chapters: 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

Published 2025-10-06 · Watch on YouTube ↗
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