Expert Showcase: Agent Memory

Without persistent memory, agents forget user preferences, repeat failed actions, lose track of long-running tasks, and struggle to maintain consistency across conversations.

Join our experts as they discuss these pain points of agent memory and state management, and explore the patterns that make production AI agents reliable at scale. You’ll learn practical techniques for memory consolidation, retrieval, and lifecycle management and about the different types of memory: working memory, long-term memory, semantic memory, and more. Whether you’re building autonomous workflows, customer support agents, or multi-agent systems, you’ll leave with concrete insights for designing memory systems that keep your agentic systems more accurate, efficient, and resilient.

What you’ll learn and how you can apply it:

• Understand the different types of agent memory so you can choose the right approach for your system
• Learn the challenges, pain points, and expert solutions for designing memory systems for agents
• Create more accurate, efficient, and resilient agentic systems

Recommended follow-up:

• Read Agent Memory (book)
• Read Managing Memory for AI Agents (report)
• Read “Why Multi-Agent Systems Need Memory Engineering” (article)
• Read “Agent Memory” (article)
• Watch GenAI Prompt to Product Showcase: Context Engineering for Reliable AI Systems (recorded event)

Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.