Remember me, memory in agents | The Agent Factory Podcast

Опубликовано 18 августа 2025, 18:52

How do you build AI agents that actually remember and learn from past conversations? This episode of The Agent Factory is a masterclass on agent memory, a critical component for building smarter, more personalized agents. Hosts Ivan Nardini and Annie Wang, along with guest Kimberly Milam, dive into the challenges of short-term memory (sessions) and introduce a powerful new solution: Vertex AI Memory Bank, a managed service designed to give agents persistent, human-like long-term memory. 🧠

By the end of this episode, you'll have a deep understanding of why memory is essential for agents, and how to implement it to create more capable and engaging AI.

In this episode you will learn:
1️⃣ Agent Industry Pulse: We'll share the latest and greatest updates in the world of AI agents. We explore new models like Zhipu AI's GLM-4.5, which are optimized for agentic tasks. We also cover new evaluation frameworks like LangChain's Align Evals and the latest features in the Agent Development Kit (ADK) and the agent to agent protocol.
2️⃣ The Factory Floor: The core of this episode is a deep dive into memory. We'll start with the basics, exploring the difference between short term memory (sessions) and long term memory. We'll show you why a "digital goldfish" agent fails to remember past interactions and how a session based approach solves this for a single conversation. Then, we'll introduce the solution for long term memory: Vertex AI Memory Bank.
3️⃣ Deep Dive on Vertex AI Memory Bank: Our guest, Kimberly Milam, a core contributor to Memory Bank, explains the service in detail.
4️⃣ The core difference between Memory Bank and RAG: How Memory Bank uses LLMs to agentically manage memory, deciding what to extract, update, or delete, as opposed to vanilla RAG which uses static corpuses.
5️⃣ How Memory Bank works: The two main processes of memory extraction and memory consolidation that ensure memories are meaningful, de-duplicated, and up to date.
6️⃣ How to integrate Memory Bank: A simple guide on how to integrate the service with agent frameworks like ADK, LangGraph, and CrewAI using a clear API.
7️⃣ Sessions vs. memories: A clear breakdown of the difference between a session (conversation history) and a memory (a self contained, meaningful fact).
8️⃣ Management and scope: We discuss how memories are self managed and how using a scope (like a team_id or user_id) allows for shared knowledge bases and multi-user access.
9️⃣ Developer Q&A: We answer top community questions on building with agents, including:
➖ What are the official online communities for ADK?
➖ How can you make an ADK agent act deterministically?
➖ How can you build a collaborative agent where the Memory Bank is shared across a team?

About The Agent Factory:
"The Agent Factory" is a video-first technical podcast for developers, by developers, focused on building production-ready AI agents. We'll explore how to design, build, deploy, and manage agents that bring real value using the latest open-source tools and frameworks. Going beyond basic AI/ML concepts, the podcast will delve into the practical aspects of agentic AI, covering everything from single-purpose agents for task automation to complex multi-agent systems.

Connect with Us & Ask Questions:
- Leave your questions and feedback in the YouTube comments below!
- Join the conversation on social media with the hashtag #TheAgentFactory.
- Connect with the community at the Google Developer Program forums → goo.gle/4mH1gFY

🔗 Resources & links mentioned:
➖ LangSmith Align Eval feature → goo.gle/45pZmE5
➖ Agent2Agent protocol blog post → goo.gle/4oI4HhA
➖ Zhipu AI blog post → goo.gle/4lISaYE
➖ VertexAI Official documentation → goo.gle/4mLlFto
➖ Vertex AI Express mode Official documentation → goo.gle/4mr2c1y
➖ Get started with Memory bank using ADK → goo.gle/4mlwkLE
➖ Get started with Memory bank using LangGraph → goo.gle/41LNfyL
➖ Get started with Memory bank using CrewAI → goo.gle/4mwAdgX
➖ Official blog post → goo.gle/4mUjggp
➖ Developer blog post → goo.gle/46YjyOx
➖ Agent engine lab → goo.gle/41Jnejz
➖ Agent tutorial lab → goo.gle/4fDNS36

📣 Developer Q&A:
➖ Agent development kit GitHub discussions → goo.gle/3HFut5g
➖ ADK Subreddit → goo.gle/4fI4Hd7
➖ Manually transfer to agent → goo.gle/4lxxpia
➖ Generate memories → goo.gle/45nGDc7

#VertexAI #ADK #GoogleCloud

Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

Speaker: Annie Wang, Ivan Nardini, Kimberly Milam
Products Mentioned: Vertex AI, LangChain, ADK