WEBINAR "Designing Smart Agent Memory – How To Go From Raw Data To Actionable Context"
Add to your calendar here - https://hubs.li/Q03kk6YJ0
AI agents are only as good as what they remember. Their ability to recall, reason, and act on relevant information is becoming a make-or-break factor. But building that memory—from raw data to structured, useful context—is still a major challenge.
In this webinar, we kick things off with a perspective on why this matters now. Drawing on experiences from data science and intelligent systems, we’ll highlight the growing importance of agent memory in real-world applications—and the role of knowledge graphs and contextual retrievers in making agents smarter, faster, and more trustworthy.
Then, we’ll dive into the how. Using Hypermode’s open-source tools, let’s walk through the process of building agent-ready context: crafting retrievers and feature stores, and designing tools that expose your graph in ways agents can actually use. We share the key design decisions behind these tools, including trade-offs, live demos, and lessons learned from real implementations.
What you’ll learn:
- Why memory is a core capability for powerful agents
- What it takes to expose graph data meaningfully to agents in live environments
- How to design and curate tools that align with your agents’ worldviews and goals
This session is great for those building their first AI agent and those looking to improve how agents reason and act.
Speaker#1: Kevin Van Gundy, CEO of Hypermode
He has spent his career building for developers, data scientists, and engineers. Previously he was the Chief Operating Officer and Chief Revenue Officer at Vercel and has held various leadership roles at Domino Data, Tray.io, and Neo4j. Kevin is involved in investing and advising startups through his involvement at Van Gundy Farms. His experience ranges from working in private equity to leading global go-to-market strategies for various companies. He has a Bachelor of Arts in English and Economics from the University of California, Davis.
Speaker#2: William Lyon, AI Engineer at Hypermode
He works to improve the developer experience of building agentic flows. Previously he worked as a software developer at Neo4j and other startups. He is also the author of the book "Fullstack GraphQL Applications" and earned a masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com
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