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Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

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Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Prerequisites

Python, Cognee, LLM provider credentials, optional graph/vector database backend

Installation

Prerequisite: Python 3.10 to 3.14.

Install Cognee with uv or pip:

  • uv pip install cognee
  • pip install cognee

For Claude Code persistent memory, upstream documents installing the Cognee integration plugin:

Documentation

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