Cognee

Cognee: The AI Memory Engine for Reliable AI Agents

What is Cognee? Cognee is an AI memory engine designed to provide reliable memory for AI agents, offering a more advanced alternative to traditional Retrieval-Augmented Generation (RAG) methods. It focuses on engineering context through modular memory layers, suitable for various industries ranging from construction to education and finance.

How Does Cognee Work?

Cognee operates by ingesting data from various sources, including unstructured and structured data formats such as PDFs, documents, images, spreadsheets, SQL databases, and audio files. It supports over 30 data types.

Here’s a breakdown of the process:

1. Ingest Data: Cognee supports over 30 data types from unstructured and structured sources.
2. Embed, Structure & Store: Users can use their existing stack, including vector databases, graph databases, and models, with support for over 17 options.
3. Interact: Cognee provides accurate answers through Cognee Interfaces such as Cognee Cloud, SDK, MCP, and other native integrations.

Key Features and Benefits

• Modular Memory Layers: Cognee employs modular memory layers tailored for agent-scoped context.
• Context Engineering: It allows context engineering using ontologies and custom rules.
• CodeGraph Context: Specifically designed for coding copilots.
• Versatile Integrations: It offers native integrations through Cognee Cloud, SDK, MCP, and more.
• Data Control: Cognee can be deployed on your own systems, ensuring complete control over your data.

Use Cases

Cognee can be applied in various B2B and B2C scenarios:

• Policy Making: Turns scattered research into evidence-backed answers with click-through citations, providing structured insights from PDFs.
• Education: Connects students into study networks by mapping proximity and academic similarity, identifying natural groups while preserving privacy.

Why Choose Cognee?

• Enhanced Accuracy: By using graph-native memory, Cognee improves the accuracy of information retrieval.
• Flexibility: Cognee integrates with existing stacks including vector databases, graph databases and various models, allowing seamless integration.
• Control and Security: Deployed on your own systems, Cognee ensures complete data control and regulatory compliance.

Pricing Options

Cognee offers several pricing tiers:

• Cognee Open Source: Free, with a license to use Cognee open source.
• On-Prem Subscription: $3500 per month, including everything in the free plan, plus on-prem deployment and hands-on support.
• Cloud Subscription: $25 per month (beta pricing), including a fully hosted cloud platform and automated scaling.

Cognee Community

Cognee has an active community of contributors and users who share their experiences and provide feedback. The team actively responds to queries and provides guidance, appreciating the innovative and open-source nature of the tool.

Real-World Testimonials

• Nemanja Bibic, Head of Data at Knowunity: Successfully prototyped a solution to understand user proximity and relationships within two days using Cognee on 40,000 students.
• Marko Lazić, CEO at Luccid: Streamlined workflow by building a custom knowledge base of building codes and regulations using Cognee.
• Orr Kowarsky, CEO at Dynamo: Enhanced customer data and provided personalized support using Cognee.
• Ferdinand Biere, CEO at DeepMetis: Implemented AI memory capabilities on-prem, increasing information retrieval accuracy without worrying about database configurations.

Who is Cognee For?

Cognee is for businesses and researchers seeking to implement advanced AI memory solutions that offer better accuracy, control, and integration capabilities than traditional RAG systems. It is particularly useful for:

• Enterprises managing large volumes of structured and unstructured data.
• AI developers building sophisticated AI agents.
• Researchers requiring defensible and evidence-backed insights.

In conclusion, Cognee provides a robust and versatile solution for organizations looking to enhance their AI infrastructure with reliable and accurate memory capabilities. Whether through its open-source offering or its subscription-based cloud and on-premise options, Cognee offers a pathway to unlock the full potential of AI agents by optimizing the interface between knowledge graphs and large language models. It is a powerful tool that leverages structured knowledge and dynamic memory for building more reliable and intelligent AI applications.