Using Microsoft Agent Framework with Foundry managed memory

From the creator

Production agents need to remember. In this episode, we dive into Memory in Foundry Agent Service — a managed, long-term memory layer that turns stateless LLM calls into stateful, continuous agents. Lewis Liu and Amy Boyd walk through how memory is natively integrated with Microsoft Agent Framework and LangGraph, enabling agents to persist user preferences, conversation context, and task outcomes across sessions — with zero infrastructure overhead. See how per-user memory scoping, automatic memory extraction, and CRUD APIs give developers full control while keeping enterprise governance built in. ✅ Chapters: 00:17 Introduction MAF - Microsoft Agent Framework and Foundry Memory 00:45 Why we need Foundry Memory 01:40 What's Foundry Memory 03:20 How Memory helps Agents - Use Cases 07:31 Foundry Memory Key concepts and Features 14:33 Foundry Memory - What's under development 16:55 Foundry Memory and MAF - Demo 1 20:25 Foundry Memory and MAF - Demo 2 24:24 Foundry Memory and MAF - Demo 3 30:50 Foundry Memory Public Preview and What's Next ✅ Resources: Foundry Toolkit for VS Code: https://aka.ms/foundrytk Microsoft Agent Framework on GitHub: https://aka.ms/AgentFramework AI Agents for Beginners: https://aka.ms/ai-agents-beginners Blog post: https://aka.ms/DeployingAgents-blog MAF 1.0 Announcement: https://aka.ms/AgentFramework1.0-blog 📌 Let's connect: Jorge Arteiro | https://www.linkedin.com/in/jorgearteiro Amy Boyd | https://www.linkedin.com/in/amykatenicho/ Lewis Liu | https:/

Published 2026-04-16 · Watch on YouTube ↗
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