cognee-memory

Cognee Integrations

Monorepo for all Cognee-owned integration packages. Each integration gives an agent framework (Strands, CrewAI, LangGraph, Google ADK, …) a persistent memory layer backed by cognee: a permanent knowledge graph plus a fast session cache.

Available Integrations

Install these from their public registries — you do not need to clone this monorepo to use them.

Framework	Package	Install
Strands	cognee-integration-strands	pip install cognee-integration-strands
CrewAI	cognee-integration-crewai	pip install cognee-integration-crewai
LangGraph	cognee-integration-langgraph	pip install cognee-integration-langgraph
Google ADK	cognee-integration-google-adk	pip install cognee-integration-google-adk
Claude Agent SDK	cognee-integration-claude	pip install cognee-integration-claude
Hermes Agent	cognee-integration-hermes-agent	pip install cognee-integration-hermes-agent
OpenClaw	@cognee/cognee-openclaw	npm install @cognee/cognee-openclaw
n8n	n8n-nodes-cognee	install via n8n community nodes
Dify (Cloud)	cognee	install from the Dify marketplace
Dify (self-hosted)	cognee-sdk	install from the Dify marketplace

Each integration has its own README.md under integrations/<name>/ with the full tool reference and runnable examples. The table above is generated from integrations/inventory.yml — see it for ownership, versions, and compatible cognee ranges.

Quickstart

The Claude Code integration is a plugin — it gives Claude Code persistent memory across sessions with no code to write. It auto-captures your prompts, tool traces, and responses, and auto-recalls relevant context on every prompt.

1. Install the plugin

Run these slash commands directly in the Claude Code chat:

/plugin marketplace add topoteretes/cognee-integrations
/plugin install cognee-memory@cognee

2. Configure your LLM key

In local mode (the default), the plugin bootstraps a local Cognee API on http://localhost:8011. Cognee extracts knowledge with an LLM, so set LLM_API_KEY in the shell that launches Claude Code:

export LLM_API_KEY="sk-..."

To target Cognee Cloud or a remote server instead, set COGNEE_BASE_URL and COGNEE_API_KEY. On startup you should see a "Cognee Memory Connected" message.

3. Use Claude Code as usual

Memory is captured and recalled automatically — no extra steps. You can also invoke the skills explicitly:

/cognee-memory:cognee-remember   # store something now
/cognee-memory:cognee-search     # query memory
/cognee-memory:cognee-sync       # persist the session into the graph

For full configuration (datasets, sessions, sync watchers, cloud mode), see integrations/claude-code/README.md.

Using an agent framework instead? The Python SDK integrations (Strands, CrewAI, LangGraph, Google ADK, Claude Agent SDK) follow a pip install → set LLM_API_KEY → attach cognee_tools() pattern. See each integration's README under integrations/<name>/ for a runnable example.

Two memory tiers