https://github.com/topoteretes/cognee

Reliable LLM Memory for AI Applications and AI Agents
https://github.com/topoteretes/cognee

ai ai-agents ai-memory cognitive-architecture cognitive-memory contributions-welcome good-first-issue good-first-pr graph-database graph-rag graphrag help-wanted knowledge knowledge-graph neo4j open-source openai rag vector-database

Last synced: 14 days ago
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Reliable LLM Memory for AI Applications and AI Agents

• Host: GitHub
• URL: https://github.com/topoteretes/cognee
• Owner: topoteretes
• License: apache-2.0
• Created: 2023-08-16T16:16:33.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-10T16:36:01.000Z (14 days ago)
• Last Synced: 2025-04-10T23:56:55.190Z (14 days ago)
• Topics: ai, ai-agents, ai-memory, cognitive-architecture, cognitive-memory, contributions-welcome, good-first-issue, good-first-pr, graph-database, graph-rag, graphrag, help-wanted, knowledge, knowledge-graph, neo4j, open-source, openai, rag, vector-database
• Language: Jupyter Notebook
• Homepage: https://www.cognee.ai
• Size: 76.6 MB
• Stars: 1,866
• Watchers: 12
• Forks: 152
• Open Issues: 25
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

• StarryDivineSky - topoteretes/cognee
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• awesome_ai_agents - Cognee - Cognee is an open-source framework aimed at simplifying data processing for large language models (LLMs) by creating knowledge graphs and data models, offering tools for information addition, knowledge creation, and similarity-based search [github](https://github.com/topoteretes/cognee) (Learning / Repositories)
• awesome_ai_agents - Cognee - Cognee is an open-source framework aimed at simplifying data processing for large language models (LLMs) by creating knowledge graphs and data models, offering tools for information addition, knowledge creation, and similarity-based search [github](https://github.com/topoteretes/cognee) (Learning / Repositories)
• awesome-safety-critical-ai - `topoteretes/cognee`

README

        


  

    

  


  


  cognee - memory layer for AI apps and Agents

  


  Demo

  .

  Learn more

  ·

  Join Discord

  


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  AI Agent responses you can rely on.

Build dynamic Agent memory using scalable, modular ECL (Extract, Cognify, Load) pipelines.

More on [use-cases](https://docs.cognee.ai/use_cases).



  





## Features

- Interconnect and retrieve your past conversations, documents, images and audio transcriptions

- Reduce hallucinations, 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  or  starter repo

## 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`](CONTRIBUTING.md) for more information.

## 📦 Installation

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

### With pip

```bash

pip install cognee

```

## 💻 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

This script will run the default pipeline:

```python

import cognee

import asyncio

async def main():

    # Add text to cognee

    await cognee.add("Natural language processing (NLP) is an interdisciplinary subfield of computer science and information retrieval.")

    # Generate the knowledge graph

    await cognee.cognify()

    # Query the knowledge graph

    results = await cognee.search("Tell me about NLP")

    # Display the results

    for result in results:

        print(result)

if __name__ == '__main__':

    asyncio.run(main())

```

Example output:

```

  Natural Language Processing (NLP) is a cross-disciplinary and interdisciplinary field that involves computer science and information retrieval. It focuses on the interaction between computers and human language, enabling machines to understand and process natural language.

  

```

Graph visualization:



Open in [browser](https://rawcdn.githack.com/topoteretes/cognee/refs/heads/add-visualization-readme/assets/graph_visualization.html).

For more advanced usage, have a look at our  documentation.

## Understand our architecture



  



## Demos

1. What is AI memory:

[Learn about cognee](https://github.com/user-attachments/assets/8b2a0050-5ec4-424c-b417-8269971503f0)

2. Simple GraphRAG demo

[Simple GraphRAG demo](https://github.com/user-attachments/assets/d80b0776-4eb9-4b8e-aa22-3691e2d44b8f)

3. cognee with Ollama

[cognee with local models](https://github.com/user-attachments/assets/8621d3e8-ecb8-4860-afb2-5594f2ee17db)

## 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.

## 💫 Contributors



  



## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=topoteretes/cognee&type=Date)](https://star-history.com/#topoteretes/cognee&Date)