This workshop will introduce participants to the practice of memory engineering and put the concepts into action. Using the MemoRizz library, attendees will learn how to design and build memory-augmented agents that go beyond simple prompt-and-response to become reliable, believable, and capable systems.
Key aspects we’ll cover include:
By the end of the workshop, participants will have both conceptual clarity and hands-on experience in building and evaluating memory-augmented agents.
Richmond Alake is the Director of AI Developer Experience at Oracle, leading AI Developer Outreach and Marketing across Oracle’s data and AI ecosystem. His mission is to ensure developers worldwide understand and adopt the capabilities of the Oracle AI Database, including vector search, in-database machine learning, JSON Relational Duality, and the broader integration ecosystem that powers modern AI and agentic applications. A recognized expert in memory engineering for AI agents, Richmond helps developers navigate the shift from prompt engineering to context engineering and now to persistent memory architectures—a foundational step in building adaptive, reliable, and context-aware AI systems. Before joining Oracle, Richmond served as a Developer Advocate (AI/ML) at MongoDB, where he led initiatives at the intersection of data, developer experience, and generative AI. As the creator of MemoRizz, an open-source framework for building memory-augmented AI agents, he has shaped the industry’s understanding of how external memory transforms LLMs from stateless chatbots into evolving agentic systems. Richmond has authored 200+ articles on AI systems and developer experience, and produced courses and technical content for NVIDIA, Neptune AI, O’Reilly, and DeepLearning.AI. He also collaborated with Andrew Ng on DeepLearning.AI’s popular Retrieval-Augmented Generation (RAG) course. At Oracle, Richmond focuses on expanding developer awareness, adoption, and community engagement around the Oracle AI Database and its integrations with leading frameworks such as LangChain, LlamaIndex, CrewAI, Mem0, and others. His work bridges research, engineering practice, and developer education—helping builders create reliable, believable, and capable agentic AI on top of Oracle’s unified data and memory infrastructure.
