How we built an open-source DEV.to data-source connector for Cognee to ingest developer tutorials, engineering insights, and technical documentation into an AI agent's memory graph.

Building a DEV.to Connector for Cognee: Giving AI Agents a Developer Knowledge Base

AI coding assistants and autonomous developer agents are rapidly becoming everyday teammates for engineering teams. However, agents often suffer from stale context, shallow search, and fragmented recall when asked nuanced questions about real-world software practices.

As part of Mergetober, I built the DEV.to Data-Source Connector for Cognee

, the open-source memory engine for AI agents.

In this article, I will walk through why this integration is valuable, how Cognee’s graph-memory architecture works, how the connector is built, and how you can use it to build your own Developer Knowledge Base AI Agent.

What is Cognee?

Traditional Retrieval-Augmented Generation (RAG) often flattens documents into isolated vector chunks.…