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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
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
41:58 – Eng Talk: Community questions
44:08 – Recap
Watch more Getting started with Agent Developer Kit (ADK) → https://goo.gle/42m5Em8
Subscribe to Google for Developers → https://goo.gle/developers
#ADK #VertexAI #GenerativeAI
Speaker: Sita Lakshmi Sangameswaran, Kimberly Milam
Products Mentioned: Google AI Read More Google for Developers
