Managing Memory for AI Agents

About the Authors

Benjamin Labaschin is currently a principal machine learning engineer and founding hire at Workhelix. Prior to this role, he worked as a senior data scientist at Hopper, XPO Logistics, and Blackstone. He holds a background in economics and environmental science. His areas of expertise include machine learning, MLOps, DevOps, and backend engineering. Ben has a particular passion for scaling engineering systems to support the evolving needs of hyper-growth startups and for advancing sustainable engineering practices.

Jim Allen Wallace is group manager of product marketing at Redis, where he bridges technical know-how and market insights to help developers apply Redis in the age of AI. He’s worn hats as an engineer, salesperson, and entrepreneur, giving him a front-row seat to how products get built, sold, and loved (or ignored). When he’s not shaping go-to-market strategy, Jim can be found hiking the mountains outside Denver, Colorado, or maybe pushing his cat Chutney off his keyboard.

Andrew Brookins is a principal applied AI engineer at Redis, where he builds open source infrastructure for memory, retrieval, and intelligent agents. He created the Agent Memory Server and Redis OM Python, and contributes to Redis libraries and applied AI tooling. With a background in backend systems and engineering leadership, he focuses on tools that help developers build smarter, more reliable systems.

Manvinder Singh is VP of AI products at Redis, where he is responsible for ...