
cognee community - Memory for AI Agents in 5 lines of code
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Welcome! This repository hosts community-managed plugins and addons for Cognee.
cognee builds AI memory, next-generation tooling that is more accurate than RAG
Install the chosen community packaging using uv pip install ...
uv pip install cognee-community-vector-adapter-qdrant
This is community plugins repo, for core repo and on how to get started with cognee, please check: https://github.com/topoteretes/cognee
Navigate to the packages folder and the adapter of choice
uv sync --all-extras
import os
os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY"
You can also set the variables by creating .env file, using our template. To use different LLM providers, for more info check out our documentation
Navigate to the vector or graph store provider of choice and run the example
Package Name | Type | Description |
---|---|---|
cognee-community-vector-adapter-qdrant |
Vector | Qdrant vector database adapter for cognee |
cognee-community-vector-adapter-azure |
Vector | Azure AI search vector database adapter for cognee |
cognee-community-vector-adapter-redis |
Vector | Redis vector database adapter for cognee |
- All packages are located in the
packages
directory. - Each package must include:
- A
README.md
file with installation and usage instructions. - An
example.py
file demonstrating how to use the plugin with Cognee.
- A
Contributions are welcome! Please ensure your package is well-documented and easy to use.