Using Microsoft Agent Framework with Foundry managed memory

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​ 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://www.linkedin.com/in/lewisxl/

Subscribe to the Open at Microsoft: https://aka.ms/OpenAtMicrosoft

Open at Microsoft Playlist: https://aka.ms/OpenAtMicrosoftPlaylist

📝Submit Your OSS Project for Open at Microsoft https://aka.ms/OpenAtMsCFP

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