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Data & context

Cognee

Persistent agent context organized around searchable entities and relationships.

Overview

Research summary

Cognee is an AI memory platform for building persistent context from documents, conversations, code, and other knowledge sources. It structures information into a graph that applications and agents can search, with support for domain models and configurable ingestion workflows. The project offers local operation and integration paths through APIs, plugins, and MCP. Developers use it when context needs to survive individual conversations or connect facts across sources. This entry covers the Apache-2.0 self-hosted implementation, with separately offered managed products outside that license scope.

Repository summary

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services available

The provider offers paid products or services. Free options may also be available.

View pricing & services ↗

Commercial offering checked 2026-10-02.

Licence scope

Implementation

Recorded implementation details and interfaces for Cognee.

Implementation details

Python knowledge-graph memory platform

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

topoteretes/cognee ↗

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06

Documentation

Recorded references and research provenance for this entry.

Recorded sources 5

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

Community & social 3 channels

Communities