Stateful Agents - Context and Memory Management for AI Agents

Learn to build stateful agents that can form memories and adapt from experience in this comprehensive workshop led by Charles Packer, lead author of the MemGPT paper and expert from Letta. Discover the principles behind context and memory management for AI agents that can live indefinitely and learn from data and interactions. Explore best practices for avoiding common agent challenges including context overflow errors, memory loss, and lack of user personalization. Gain practical experience with scaling stateful agents to hundreds of thousands of deployments and get hands-on practice building these systems using the Letta framework and Agent Development Environment (ADE). Master the foundational concepts that enable agents to maintain persistent state and continuously improve through experience, moving beyond traditional stateless AI interactions to create more intelligent and adaptive systems.