What if your AI agent could do more than answer questions once, and actually remember how you like to learn? In this code-along webinar, Casius Sibanda Lee, AI Developer Advocate at Oracle, will show you how to build a memory-powered research agent using Claude Code and Oracle AI Database as the persistent memory core.
You will learn how to create an agent that researches a topic, retrieves relevant context, stores useful findings, and improves over time through feedback and personal preferences. Along the way, you will see how persistent memory changes the behaviour of an AI system, turning it from a one-off chatbot into something far more useful. By the end of the session, you will have built a practical research workflow that demonstrates why memory is such a critical part of modern AI agents.
Key Takeaways:
- Learn how to use Claude Code to build a memory-powered research agent.
- Understand how Oracle AI Database acts as the persistent memory core for storing preferences, feedback, and retrieved context.
- Build a practical research workflow that improves over time through retrieval, feedback loops, and personal preferences.
