topoteretes/cognee

Knowledge Engine for AI Agent Memory in 6 lines of code

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Combines vector search with graph databases to index documents by semantic meaning and learned entity relationships, enabling hybrid retrieval that improves context relevance for agents. Supports multimodal ingestion across arbitrary data formats and structures while maintaining local execution, ontology grounding, and audit trails for trustworthy agent isolation. Integrates with multiple LLM providers and includes CLI tooling and web UI for pipeline management alongside programmatic Python APIs.

13,204 stars. Actively maintained with 372 commits in the last 30 days. Available on PyPI.

Maintenance 25 / 25

Adoption 10 / 25

Maturity 25 / 25

Community 20 / 25

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Stars

13,204

Forks

1,336

Language

Python

License

Apache-2.0

Featured in

Embeddings Are Easier Than Whatever You're Doing Instead Agent Memory in 2026: What Actually Works for Persistent AI We Audited crewAI's AI Dependencies: Here's What the Data Says Your Agent is Hitting its Ceiling — Who's Actually Fixing It

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cognee and OpenMemory cognee and memlayer cognee and memvid cognee and subcog

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