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.
Install
$ agentstack add skill-agentskillexchange-skills-add-graph-backed-memory-and-context-retrieval-to-agent-workflows ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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
Use the upstream install or setup path that matches your environment:
- uv pip install cognee
- pip install cognee
- git clone https://github.com/topoteretes/cognee-integrations.git
Requirements and caveats from upstream:
- Python 3.10 to 3.14
- You can install Cognee with pip, poetry, uv, or your preferred Python package manager.
- python
Basic usage or getting-started notes:
- ## Basic Usage & Feature Guide
- Let’s try Cognee in just a few lines of code.
- ### Step 1: Install 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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: agentskillexchange
- Source: agentskillexchange/skills
- License: MIT
- Homepage: https://agentskillexchange.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.