cognee - Memory for AI Agents in 6 lines of code

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Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.

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Features

• Interconnect and retrieve your past conversations, documents, images and audio transcriptions
• Replaces RAG systems and reduces developer effort, and cost.
• Load data to graph and vector databases using only Pydantic
• Manipulate your data while ingesting from 30+ data sources

Get Started

Get started quickly with a Google Colab notebook , Deepnote notebook or starter repo

Using cognee

Self-hosted package:

• Get self-serve UI with embedded Python notebooks
• Add custom tasks and pipelines via Python SDK
• Get Docker images and MCP servers you can deploy
• Use distributed cognee SDK to process a TBs of your data
• Use community adapters to connect to Redis, Azure, Falkor and others

Hosted platform:

• Sync your local data to our hosted solution
• Get a secure API endpoint
• We manage the UI for you

Self-Hosted (Open Source)

📦 Installation

You can install Cognee using either pip, poetry, uv or any other python package manager.

Cognee supports Python 3.10 to 3.12

With uv

uv pip install cognee

Detailed instructions can be found in our docs

💻 Basic Usage

Setup

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

Simple example

Python

This script will run the default pipeline:

import cognee
import asyncio


async def main():
    # Add text to cognee
    await cognee.add("Cognee turns documents into AI memory.")

    # Generate the knowledge graph
    await cognee.cognify()

    # Add memory algorithms to the graph
    await cognee.memify()

    # Query the knowledge graph
    results = await cognee.search("What does cognee do?")

    # Display the results
    for result in results:
        print(result)


if __name__ == '__main__':
    asyncio.run(main())

Example output:

  Cognee turns documents into AI memory.

Via CLI

Let's get the basics covered

cognee-cli add "Cognee turns documents into AI memory."

cognee-cli cognify

cognee-cli search "What does cognee do?"
cognee-cli delete --all

or run

cognee-cli -ui

Hosted Platform

Get up and running in minutes with automatic updates, analytics, and enterprise security.

1. Sign up on cogwit
2. Add your API key to local UI and sync your data to Cogwit

Demos

1. Cogwit Beta demo:

Cogwit Beta

2. Simple GraphRAG demo

Simple GraphRAG demo

3. cognee with Ollama

cognee with local models

Contributing

Your contributions are at the core of making this a true open source project. Any contributions you make are greatly appreciated. See CONTRIBUTING.md for more information.

Code of Conduct

We are committed to making open source an enjoyable and respectful experience for our community. See CODE_OF_CONDUCT for more information.

Citation

We now have a paper you can cite:

@misc{markovic2025optimizinginterfaceknowledgegraphs,
      title={Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning}, 
      author={Vasilije Markovic and Lazar Obradovic and Laszlo Hajdu and Jovan Pavlovic},
      year={2025},
      eprint={2505.24478},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2505.24478}, 
}