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Building Agents with OpenAI  Agents SDK

You're reading from   Building Agents with OpenAI Agents SDK Create practical AI agents and agentic systems through hands-on projects

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Product type Paperback
Published in Oct 2025
Publisher Packt
ISBN-13 9781806112012
Length 276 pages
Edition 1st Edition
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Concepts
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Author (1):
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 Habib Habib
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Habib
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Toc

Table of Contents (15) Chapters Close

Preface 1. Part 1: AI Agents
2. Introduction to AI Agents FREE CHAPTER 3. Introduction to OpenAI Agents SDK 4. Environment Setup and Developing Your First Agent 5. Part 2: OpenAI Agents SDK
6. Agent Tools and MCPs 7. Memory and Knowledge 8. Multi-Agent Systems and Handoffs 9. Model and Context Management 10. Agent System Management 11. Part 3: Build AI Agents
12. Building AI Agents and Agentic Systems 13. Other Books You May Enjoy
14. Index

Long-term memory

Long-term memory is the ability for an agent to remember pertinent details across multiple sessions for a long period of time. This “superpower” is what enables agents to retain and recall information across multiple sessions. It is the foundation for creating truly stateful, personalized, and persistent AI experiences. This is sometimes dubbed the ultimate “hindrance” between an AI agent and a human agent, as a human agent can naturally remember important facts, preferences, or past conversations and assign them to every person, whereas an AI agent typically struggles with this.

We discussed the difference between stateless and stateful in the context of single sessions previously. It extends to multi-session interactions as well. An agent without long-term memory is essentially stateless between sessions. An AI agent without long-term memory cannot remember information such as a user’s name, past preferences, or completed tasks...

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