Cognee
AI memory engine for reliable context and knowledge graphs
What is Cognee? Complete Overview
Cognee is an AI memory engine designed to provide reliable memory infrastructure for AI agents, moving beyond traditional RAG (Retrieval-Augmented Generation) systems. It enables users to query and transform LLM (Large Language Model) context efficiently using a structured memory layer. Cognee is ideal for engineers, developers, and enterprises looking to build sophisticated AI applications with accurate, structured, and scalable memory capabilities. The platform supports over 30 data types, integrates with various databases, and offers both open-source and enterprise solutions, ensuring flexibility and control over data.
Cognee Interface & Screenshots
Cognee Official screenshot of the tool interface
What Can Cognee Do? Key Features
Memory Layers for Agent-Scoped Context
Cognee provides memory layers that allow AI agents to maintain and retrieve context-specific information dynamically, enhancing the accuracy and relevance of responses.
CodeGraph Context for Coding Copilots
This feature enables the creation of dynamic knowledge graphs for codebases, helping coding copilots understand complex dependencies and provide more accurate suggestions.
Ontologies and Custom Rules
Users can define custom ontologies and rules to structure their data, ensuring the AI memory aligns with specific business or domain requirements.
Multi-Data Type Support
Cognee supports ingestion of over 30 data types, including PDFs, docs, images, SQL databases, and audio files, making it versatile for various use cases.
On-Prem and Cloud Deployment
Cognee offers both on-prem and cloud deployment options, giving users full control over their data and ensuring compliance with regulatory requirements.
Best Cognee Use Cases & Applications
Policy Analysis for Policymakers
Cognee enabled policymakers to extract trusted answers from hundreds of PDFs, providing a unified layer of evidence-based practices and improving decision-making.
Student Network Analysis
A university used Cognee to analyze and connect 40,000 students with 100% accuracy, identifying hidden networks and improving personalized support.
Building Code Compliance
A construction company leveraged Cognee to create a custom knowledge base of building codes and regulations, streamlining workflow and ensuring compliance.
How to Use Cognee: Step-by-Step Guide
Ingest your data by uploading files or connecting to your data sources. Cognee supports over 30 data types, including PDFs, docs, and SQL databases.
Embed, structure, and store your data using Cognee's memory engine. Choose from vector databases, graph databases, or other storage options.
Define custom ontologies and rules to structure your data according to your specific needs, ensuring the AI memory is tailored to your domain.
Interact with your data using Cognee's interfaces, such as the SDK or API, to query and retrieve context-aware answers from your AI agents.
Cognee Pros and Cons: Honest Review
Pros
Considerations
Is Cognee Worth It? FAQ & Reviews
Cognee supports over 30 data types, including PDFs, docs, images, SQL databases, and audio files, making it versatile for various use cases.
Yes, Cognee offers both on-prem and cloud deployment options, giving you full control over your data and ensuring compliance with regulatory requirements.
Yes, Cognee offers a free plan that includes access to the open-source version, custom schema generation, and support for over 28 data sources.
Cognee provides structured memory layers and dynamic knowledge graphs, enabling AI agents to retrieve context-aware information with higher accuracy and relevance.
Enterprise users receive hands-on support, architecture reviews, roadmap prioritization, and knowledge transfer to ensure successful deployment and usage.