COR Brief
Agents & Automation

Cognee

Cognee is an open source AI memory engine designed to improve AI infrastructure by creating a living knowledge graph that learns and adapts over time.

Updated Jan 26, 2026freemium with subscription options

Cognee is an AI memory engine that functions as a retrieval and reasoning core behind AI agents, replacing custom knowledge graphs and vector stores with a unified platform. It supports over 30 data types including PDFs, docs, spreadsheets, audio, and images, and integrates with multiple agentic frameworks, vector databases, and graph databases. Cognee continuously learns from feedback, updates concepts and synonyms, and executes multi-step tasks with explanations, improving accuracy and personalization over time. The platform is deployed in production across regulated industries and startups, emphasizing knowledge engineering over traditional retrieval-augmented generation (RAG) approaches.

Pricing
Free
Category
Agents & Automation
Company
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01
Transforms data into a dynamic knowledge graph that learns from feedback and auto-tunes itself to improve answers over time.
02
Supports ingestion of more than 30 data types including documents, spreadsheets, audio, and images.
03
Offers native integrations with over 12 agentic frameworks, 17 graph databases, and multiple vector databases.
04
Enables creation of custom data models and ontologies to enhance domain-specific AI agent knowledge.
05
Learns and adapts from user feedback to improve accuracy and recall, addressing limitations of traditional RAG methods.

Building vertical AI agents that unify data silos

Building vertical AI agents that unify data silos

Creating domain-smart copilots that learn and adapt

Creating domain-smart copilots that learn and adapt

Replacing custom knowledge graphs and vector stores with a single platform

Replacing custom knowledge graphs and vector stores with a single platform

1
Install Cognee SDK
Begin by installing the Cognee SDK to integrate AI memory capabilities into your agent.
2
Ingest Data
Load your data into Cognee using supported data types such as PDFs, docs, spreadsheets, or images.
3
Define Custom Schema and Ontology
Create custom schemas and ontologies to tailor the knowledge graph to your domain needs.
4
Integrate with Agentic Frameworks
Connect Cognee with your AI agents or frameworks to enable retrieval and reasoning.
5
Monitor and Improve
Use feedback loops to allow Cognee to learn and improve accuracy over time.
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Pricing
Model: freemium with subscription options
Free
Free
  • License to use Cognee open source, Cognee tasks and pipelines, custom schema and ontology generation, integrated evaluations, support for more than 28 data sources
On-Prem Subscription for SMBs
$3500 per month (20% discount if paid yearly)
  • Everything in free plan plus 1 day SLA
  • on-prem deployment
  • hands-on support
  • architecture review
  • roadmap prioritization
  • knowledge transfer
Cloud Subscription (Beta Pricing)
$25 per month
  • Everything in free plan plus fully hosted cloud platform
  • multi-tenant architecture
  • comprehensive API endpoints
  • automated scaling and parallel processing
  • grouping memories per user and domain
  • automatic updates
  • priority support
  • 1 GB ingestion
  • 10
  • 000 API calls
Assessment
Strengths
  • Open source with a permissive license and active GitHub repository with over 12,000 stars
  • Supports a wide variety of data types and integrations
  • Designed to improve AI agent accuracy and personalization through continuous learning
  • Offers both cloud and on-prem deployment options
Limitations
  • Open issues on GitHub indicate ongoing development and potential stability concerns
  • On-prem subscription pricing may be high for small teams
  • Cloud subscription is currently in beta with limited ingestion and API call quotas