Using Microsoft Agent Framework with Foundry managed memory

Microsoft Developer · Beginner ·🤖 AI Agents & Automation ·5h ago
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 …
Watch on YouTube ↗ (saves to browser)

Chapters (10)

0:17 Introduction MAF - Microsoft Agent Framework and Foundry Memory
0:45 Why we need Foundry Memory
1:40 What's Foundry Memory
3:20 How Memory helps Agents - Use Cases
7:31 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
Revolutionize your marketing strategy with Gemini Enterprise agents
Next Up
Revolutionize your marketing strategy with Gemini Enterprise agents
Google Cloud