Cognee AI is an open-source AI memory engine that organizes, links, and retrieves information from your data to support more efficient AI workflows and infrastructure.
Cognee AI is an open-source AI memory engine designed to help teams organize, search, and reason over large volumes of unstructured and semi-structured data. It centralizes information from documents, notes, code, and knowledge bases into a unified, queryable memory layer that can be accessed by humans and AI agents. Its primary purpose is to reveal hidden relationships across data sources and provide a robust foundation for building reliable, context-aware AI systems.
Cognee AI automatically ingests and indexes data from multiple sources, then enriches it with embeddings, metadata, and graph-like relationships. It provides semantic search, retrieval-augmented generation (RAG) support, and tools to trace how information is connected, enabling more accurate and explainable AI outputs. The engine is designed to be infrastructure-friendly, with APIs and integrations that allow it to sit between your data stores and LLMs, improving performance and reducing duplication of effort. Being open source, it offers transparency, extensibility, and the ability to self-host for compliance or security-sensitive environments.
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