add-graph-backed-memory-and-context-retrieval-to-agent-workflows

# 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: - claude plugin marketplace add topoteretes/cognee-integrations - claude plugin install cognee-memory@cognee - Source: https://github.com/topoteretes/cognee - Extracted from upstream docs: https://raw.githubusercontent.com/topoteretes/cognee/HEAD/README.md ## Documentation - https://docs.cognee.ai ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/add-graph-backed-memory-and-context-retrieval-to-agent-workflows/)