Cognee is an open-source agent memory platform designed to help AI agents retain context, connect information, and follow organizational rules. Its memory layer combines graph, vector, and relational retrieval to help agents find relevant knowledge across documents, conversations, and work systems. Teams can connect sources such as Slack, GitHub, and Linear, allowing agents to search shared company information and preserve context across sessions.

Developers can use Cognee through a memory API, Python SDK, MCP server, and integrations for tools including Claude Code, Cursor, LangGraph, and OpenClaw. The platform supports custom ontologies and data models, as well as permissions controls for governing access. It can run locally, in Docker, on-premises, in a customer’s own cloud, or through Cognee Cloud, offering options for individual developers, platform teams, and enterprise deployments.

Cognee also provides documentation, quickstarts, webinars, benchmarks, and implementation support. Its applications include persistent project memory, cited knowledge retrieval, domain-aware agents, and personalized support. The company presents Cognee as a shared, continuously improving knowledge foundation for agents used by teams and organizations.