GitHub - topoteretes/cognee: Memory for AI Agents in 6 lines of code

2 months ago

Cognee is an open-source tool that transforms raw data into persistent and dynamic AI memory for Agents.
It combines vector search with graph databases to make documents searchable by meaning and connected by relationships.
Cognee replaces traditional RAG systems with a unified memory layer built on graphs and vectors.
It supports over 30 data sources for ingestion and offers high customizability through user-defined tasks and modular pipelines.
Cognee can interconnect any type of data, including past conversations, files, images, and audio transcriptions.
The tool reduces developer effort and infrastructure costs while improving quality and precision.
Cognee provides Pythonic data pipelines and built-in search endpoints.
It can be installed via pip, poetry, uv, or other Python package managers.
Cognee generates a knowledge graph from documents and queries the graph based on combined relationships.
The platform welcomes community contributions and has a published research paper on optimizing knowledge graphs for LLM reasoning.

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