Claude Skill

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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agentskillexchange/skills 45 57 forks MIT Updated 6d ago

Part of agentskillexchange/skills — 249 skills

Install

skills CLI

npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-graph-backed-memory-and-context-retrieval-to-agent-workflows

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart

Git git clone https://github.com/agentskillexchange/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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

Files (skills)

SKILL.md 1.5 KB

---
name: "Add graph-backed memory and context retrieval to agent workflows"
slug: "add-graph-backed-memory-and-context-retrieval-to-agent-workflows"
description: "Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows."
github_stars: 17584
verification: "security_reviewed"
source: "https://github.com/topoteretes/cognee"
author: "topoteretes"
publisher_type: "organization"
category: "Templates & Workflows"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "topoteretes/cognee"
  github_stars: 17584
---

# 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/)