Cognee is an open-source platform that turns raw data into persistent and dynamic AI memory for agents. It combines graph databases with vector search to make documents understandable by meaning and interconnected by relationships. You can deploy Cognee as self-hosted OSS (data stored locally by default) or connect to Cognee Cloud for managed infrastructure. Cognee interconnects diverse data types—conversations, files, images, and audio transcriptions—into a unified memory layer. It replaces traditional RAG with a scalable ECL (Extract, Cognify, Load) pipeline that supports ingestion from 30+ data sources and enables high customizability through user-defined tasks and modular pipelines. Built-in search endpoints enable querying the knowledge graph, while the platform reduces development effort and infrastructure cost. The cloud offering adds a hosted web UI, automatic version updates, resource usage analytics, and enterprise-grade security compliant with GDPR. This design aims to simplify building memory for AI agents and accelerate development and experimentation.