Building memory for AI Agents

Connecting your company data to LLMs might seem easy—until you try to do it quickly, and at scale.

With large volumes of data, challenges like data consistency, data contracts, modularity, and developer experience rise up. You might end up with a lot of microservices and very fragile systems.

We will discuss how we designed Cognee, a scalable AI Memory Python SDK that supports multiple Graph and Vector databases and integrates with various LLMs. We will also look into how cognee works using an example of connecting unstructured and structured data.

Based on a real-word example in education, you'll learn what AI memory is and how to give your LLMs the context they need.