AI agent responses you can rely on

AI Memory Python SDK. 90% accuracy out of the box.

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People use cognee to sort out their data and improve AI answers

Ask cognee

89.4%answer relevancy

Vector store

Ask RAG

Potatoanswer relevancy

ChatGPT

Ask ChatGPT

5%answer relevancy

Improve responses from LLM applications

Text generation

Content summaries

Customer analysis

Chatbot responses

Code generation

Translations

Why choose Cognee

It’s free and open-sourceWe’re all about building in the open. Just install the Python library, or clone the repo from GitHub and start playing around. Super flexible for developers and hobbyists.

Totally customisable storageWant to use a different database provider? No problem. cognee supports many out of the box (like vector and graph databases), but you can easily plug in your own by following the docs.

Smart data with ontologiesCognee isn’t just storing random chunks of data - everything is related! RDF-based ontologies define the structure with publicly available rules and ontologies to make your data even smarter.

Actual reasoning (no guessing here!)Instead of just guessing based on patterns, cognee can use real reasoners. You can use existing ones, or build your own for your specific case.

Built for your serversYou can run everything on your own servers, so if you’re dealing with sensitive data there’s no third-party risk.

Handles loads of dataNeed to analyse a lot of data? Whether it’s gigabytes (or terabytes :hushed:) cognee’s distributed system can handle it. It scales exactly when you need it to.

Built for your serversYou can run everything on your own servers, so if you’re dealing with sensitive data there’s no third-party risk.

Actual reasoning (no guessing here!)Instead of just guessing based on patterns, cognee can use real reasoners. You can use existing ones, or build your own for your specific case.

Handles loads of dataNeed to analyse a lot of data? Whether it’s gigabytes (or terabytes :hushed:) cognee’s distributed system can handle it. It scales exactly when you need it to.

Success case

16%75%

Increased answer relevancy with more support agents using the tool.

Helping Dynamo increase customer engagement

ProblemDynamo helps gaming companies interact with their user base. Agents communicate via messenger to offer bonuses and encourage participation in tournaments and other games. The company needed a personalization layer to enable agents to interact optimally with users, providing specific suggestions based on purchase activity, recent events, and more.

SolutionWe designed and built a naive recommender system using LLMs to suggest optimal responses. This required a feature store containing relevant user-level information and data enriched with LLM-structured outputs. This data was then fed to Cognee to support agents with personalized messages and real-time analytics.

Cognee is deployed on your own systems

You have complete control over your data. Meaning less chance of external breaches and full regulatory compliance.

Affordable and transparent pricingCompare our pricing plans.

BasicFree
License to use Cognee open source
Cognee tasks and pipelines
Custom schema and ontology generation
Integrated evaluations
More than 28 data sources supported

On-prem Subscription€1970 a monthEverything in the free plan, plus...
License to use Cognee open source and Cognee Platform
1 day SLA
On-prem deployment
Hands-on support
Architecture review
Roadmap prioritization
Knowledge transfer

Platform Subscription€8.501m input tokensEverything in the free plan, plus...
License to use Cognee open source and Cognee Platform
1 day SLA
Hands-on support
Architecture review
Roadmap prioritisation
Knowledge transfer

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You're in good company

Here's what folks have been saying about Cognee.

Noam Yasour
CEO at Keepi

With Cognee, we could offer Keepi's user base save and retrieve knowledge capabilities without needing to fine tune or mess with our vector database setup. It was just plug and play. We saw an improvement in accuracy and speed of retrievals.

Marko Lazić
CEO at Luccid

Guys helped me to build a custom knowledge base of building codes and regulations that I just had to upload and it all worked. I could easily query the knowledge and update it with new regulations. This has significantly streamlined my workflow and decision-making process.

Orr Kowarsky
CEO at Dynamo

Cognee helped us enrich the data for thousands of our customers and provide them with personalized support better suited to their needs. The cognee team built and deployed the entire solution within a month.

Ferdinand Biere
CEO at DeepMetis

Cognee's design allowed our team to implement AI memory capabilities on-prem without worrying about graph or vector database configurations and model the data for our business needs. The accuracy of our information retrieval has significantly increased.

Messages from the community

Cognee ROCKS! Keep the work guys, its amazing. Im currently building an app and the graph layer is on top of Cognee. The fact that i can build my own KGs logics, how to create, how to retrieve, the vectors... is amazing. I will be using multiple pipelines and so far Cognee is the most capable of it.This is the way. We need neural methods that translate between language and grounded systems, and symbolic methods to reason over knowledge.I've been investigating cognee, comparing it with others, and it's the leader in my research. I have high hopes for your solution and for your success!Cool project! The idea of dynamically evolving knowledge graphs for memory makes a lot of sense, especially for handling complex dependencies in codebases.My research has Cognee being a functional and lowered expense leader in graph rag tech.Future of Enterprise grade AI Agents depends on the information infrastructure . Building agents on symbolic architecture is a key requirement for multi agent system for which abstraction provided by Cognee is a MUST to have .. Great Job Folks !!thank you 🙏🏼 for creating such an innovative open-source tool! thanks, you guys are great always responding and ontop of it.… cognify managed to build an amazing graph out of it and my question got answered right away. Your guidance is much appreciated. Thank you to the Cognee team's amazing work.Cognee ROCKS! Keep the work guys, its amazing. Im currently building an app and the graph layer is on top of Cognee. The fact that i can build my own KGs logics, how to create, how to retrieve, the vectors... is amazing. I will be using multiple pipelines and so far Cognee is the most capable of it.This is the way. We need neural methods that translate between language and grounded systems, and symbolic methods to reason over knowledge.I've been investigating cognee, comparing it with others, and it's the leader in my research. I have high hopes for your solution and for your success!Cool project! The idea of dynamically evolving knowledge graphs for memory makes a lot of sense, especially for handling complex dependencies in codebases.My research has Cognee being a functional and lowered expense leader in graph rag tech.Future of Enterprise grade AI Agents depends on the information infrastructure . Building agents on symbolic architecture is a key requirement for multi agent system for which abstraction provided by Cognee is a MUST to have .. Great Job Folks !!thank you 🙏🏼 for creating such an innovative open-source tool! thanks, you guys are great always responding and ontop of it.… cognify managed to build an amazing graph out of it and my question got answered right away. Your guidance is much appreciated. Thank you to the Cognee team's amazing work.