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Cognee is an open source memory platform for AI agents teams and organizations. It helps agents remember information across sessions connect scattered company knowledge and follow domain specific rules. The platform can connect sources such as Slack GitHub Linear documents warehouses and APIs into a shared searchable memory layer. Cognee combines graph retrieval vector retrieval and relational retrieval to help agents find relevant context and understand relationships between people documents tasks and other entities. It can generate custom ontologies and data models that represent organizational knowledge more accurately. Agents can retrieve cited facts and use remembered project context instead of repeating previous work or losing information between sessions. Developers can install Cognee with pip and connect it to Claude Code Cursor LangGraph OpenClaw MCP clients and other agent systems. The platform provides an SDK memory API connectors permissions controls and support for custom deployments. It can run locally in Docker on premises or in a private cloud environment. Cognee also offers Cognee Cloud and bring your own cloud deployment options for managed scale and enterprise use. The platform is designed for solo developers agent builders data teams product engineers and enterprises. Reported use cases include personalized customer support knowledge bases regulatory information retrieval education systems and shared company memory. The open source package is available for initial development while managed services support production deployments.
