From context to dreams: architecting memory for AI agents

Have you ever felt that every conversation you have with an LLM across sessions feels like starting over from scratch? LLMs have a problem: they have the memory of a goldfish (no disrespect to goldfish intended). This article explores the solution: Agent memory. Agent...

Benchmarking AI inference on CPUs: A transparent blueprint for the enterprise

As enterprises look to optimize the total cost of ownership (TCO) of Large Language Model deployment, utilizing existing enterprise CPU infrastructure alongside GPU resources for specific inference workloads has become a strategic initiative. However, infrastructure...

Zero trust for AI agents: why delegation beats impersonation

When an AI agent acts on your behalf, how much of "you" should it become? In AI systems, agent impersonation creates security risks by granting overly broad permissions. This post introduces a delegation model using a permission intersection' pattern, ensuring agents...

Welcome to Red Hat Emerging Technologies

Here you’ll find information about the emerging technology projects the Red Hat Office of the CTO is working on. For us, “emerging technologies” refers to those technologies that are still taking shape in the enterprise or even in research communities. Emerging technologies engineering is pre-product, purely upstream work. Not everything you see here will become part of the Red Hat portfolio roadmap, but we want to share this information with our customers and partners and encourage your participation. At Red Hat, we love to co-create with open source communities, partners and customers. We look forward to you engaging with us and providing your ideas and feedback on these projects.