
Types of AI Agent Memory: Retrieval vs Memory
If you ask an AI agent the same question twice, a week apart, then it’s highly likely that it’ll give two different answers. For example, you may ask it something tied to

If you ask an AI agent the same question twice, a week apart, then it’s highly likely that it’ll give two different answers. For example, you may ask it something tied to

AI is becoming part of enterprise infrastructure, from customer-facing copilots and software development tools to autonomous agents and security platforms. That expansion creates a new

AI adoption has stopped being a pilot conversation. Organizations now run at least one AI system somewhere inside their operations, making decisions that used to sit

Every enterprise assumes it knows what data it has. Then someone actually asks a new hire, an auditor, or a regulator, and the answer takes days to reconstruct instead of

Enterprise AI budgets have been growing for three consecutive years, and so has the number of pilots running in parallel across most large organizations. Global corporate AI investment hit $242 billion in Q1 2026 alone, and by most

Not long ago, the biggest question in enterprise development was whether AI belonged in the codebase at all. Not only is that argument over now, but it has

Most conversations about context graphs stop at the conceptual level, i.e., what they are, why they matter, and how to design one. Those foundations are covered

Most enterprises budget for AI pipelines the same way they budget for any software project: line items, estimates, and a signed-off number. The line item they almost always account for is

There’s a version of vibe coding that feels almost effortless. You describe what you want, AI builds something close, you refine it, and an hour later, you

Enterprises and their development cycles carry two versions of their work. The first is visible: repositories, documentation, tickets, and deployment logs. The second is invisible: the
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