Coding Agents Lunch & Learn Session 15: Building Stateful Agents with Open Source Frameworks

Join us for Session 15 of the Coding Agents Lunch & Learn, our weekly community series exploring the tools, workflows, frameworks, and real-world applications shaping the future of AI coding agents.

This week, we're turning our attention to one of the most important challenges in agent engineering: maintaining context, memory, and state across complex workflows.

As coding agents move beyond simple prompt-response interactions, developers are increasingly looking for ways to build systems that can remember past actions, manage long-running tasks, and operate reliably across multiple sessions. In this session, we'll explore emerging open-source approaches that make these capabilities possible.

We'll take a hands-on look at a promising open-source framework from the AI Agent Foundation ecosystem, examining how it manages context persistence, state tracking, workflow continuity, and agent coordination. Through a live walkthrough and demo, we'll break down the architecture, developer experience, and practical use cases for teams building production-ready agent systems.

We'll also discuss the broader shift toward stateful agents, why memory and context management have become critical bottlenecks, and what patterns are emerging across the agent development community.

Whether you're building coding agents, experimenting with autonomous workflows, or evaluating the next generation of agent infrastructure, this session will give you practical insights into the tooling and design patterns enabling more reliable AI systems.