DeepLearning.AI

Charles Packer

Sarah Wooders

In this course, you will learn to build agentic memory into your applications using the Letta framework. Discover how an LLM agent can act as an operating system to manage memory, autonomously optimizing context use. You'll explore the key ideas behind the MemGPT paper, including the two tiers of memory and how agent states are turned into prompts. By the end, you'll be equipped to create adaptive, collaborative AI agents for tasks like research and HR.

LLMs as Operating Systems: Agent Memory

Overview of the course and its objectives.

Introduction

Learn about editable memory with video and code examples.

Editable Memory

Explore the key ideas behind the MemGPT paper.

Understanding MemGPT

Learn to build agents with memory using video and code examples.

Building Agents with Memory

Understand how to program agent memory with practical examples.

Programming Agent Memory

Learn about agentic RAG and external memory with video and code examples.

Agentic RAG and External Memory

Explore multi-agent orchestration with video and code examples.

Multi-agent Orchestration

Summarize the course learnings and outcomes.

Conclusion

Additional resources and code examples for further learning.

Appendix - Tips, Help, and Download

This course teaches you how to build agents with long-term, persistent memory using Letta. Learn to manage and edit context efficiently, creating adaptive AI agents for real-world tasks. By the end, you'll have the tools to extend memory beyond the finite context window of LLMs.

Individuals interested in learning how autonomous agents can manage their own memory.

AI Enthusiasts

Developers looking to build applications with agentic memory using LLMs.

Developers

Data scientists who want to explore advanced memory management in AI applications.

Data Scientists

Artificial Intelligence

Business

Cloud Engineering

Cybersecurity

Data

Design

Devops

Finance

Green Skills

Languages

AI Foundations

AI for Business

AI Automation & Workflows

Agentic AI

AI Coding / Vibe Coding

Agile and Scrum Methodologies

Agile and Scrum Practices 

AI Automation & Orchestration

AI for Data

AI for Design

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LLMs as Operating Systems: Agent Memory

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