Cognee is an open-source AI memory platform built for AI agents, enabling persistent, self-hosted, long-term memory by continuously constructing a dynamic knowledge graph from data ingested in any format. It combines vector embeddings, cognitive-science-inspired ontologies, and relationship-rich graph reasoning to make agent memory both searchable and adaptable, supporting robust context management, cross-agent knowledge sharing, and reliable recall across sessions. Its features include seamless multimodal data ingestion, graph/vector search, local and cloud deployment, and easy integration with agents (such as through Claude Code or OpenClaw), empowering developers and organizations to create more context-aware, learning, and traceable AI agent applications.
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Comprehensive guide covering installation, usage, and API reference for Cognee.
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