Cognee is an open-source memory platform that gives AI agents persistent, structured knowledge across sessions. It can ingest information in different formats and transform it into a self-hosted knowledge layer that combines vector embeddings, knowledge graphs, and ontology-based relationships for retrieval and reasoning.

Instead of treating memory as a flat collection of conversation snippets, Cognee connects entities and concepts so agents can retrieve information by meaning as well as by relationships. The project supports use cases such as company knowledge bases, long-term agent memory, cross-agent knowledge sharing, RAG, traceability, tenant isolation, and integrations with agent environments.

Cognee is designed for developers building agents that need to remember more than the current context window. It is a strong fit for self-hosted knowledge infrastructure where applications need persistent memory, evolving relationships between facts, and a reusable knowledge layer that can be shared across multiple agents or user sessions.