GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
When evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient
Good fit when
- - You are developing AI agents that require persistent long-term memory across different sessions.
- - You prefer a self-hosted solution where data privacy is critical and you need full control over the knowledge graph engine.
Avoid when
- - Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context.
- - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install cogneeHow it fits your stack(7)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides persistent long-term memory to AI agents using a self-hosted knowledge graph engine.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
<p><strong>Start locally for free without an OpenAI or Anthropic API key.</strong> Build memory from text with local extraction and embedding modelsSource link
Tags
README
<div align="center" <a href="https://github.com/topoteretes/cognee" <img src="assets/cognee logo.svg" alt="Cognee Logo" width="260" </a <br / <p Cognee The Free Open Source AI Memory Platform for Agents</p <p align="center" <a href="https://www.youtube.com/watch?v=8hmqS2Y5RVQ&t=1...
For agents
This page has a .md twin and JSON over the API.