Cognee
AI Agent Memory in 6 lines of code
- Status
- Generally available
- Last checked
- Checked · Oct 15, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Cognee is a knowledge engine designed to provide AI agents with memory capabilities using just six lines of code, making it easy for developers to integrate advanced memory features into their applications.
Cognee stands out as a lightweight, easy-to-integrate solution for adding memory capabilities to AI agents with minimal setup effort.
When it fits — and when it doesn’t
A good fit for
Developers looking for a lightweight solution to add memory capabilities to their AI agents
Projects requiring minimal setup and quick integration of advanced memory features
Look elsewhere if
Applications needing real-time streaming or complex data processing beyond basic memory management
Teams that require extensive customization options not provided by the library
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited integrations with other data infrastructure tools
Currently supports only a few popular Python libraries, lacks native support for many common data processing frameworks
- 02
Small community and limited third-party resources
GitHub issues are infrequently addressed; sparse documentation and example use cases
What it does well
Minimal setup with only six lines of code
Efficient memory management for AI agents
Open-source and lightweight
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Cognee
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for Cognee’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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