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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 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- Security (OSV)
- No lockfile
- As of 1mo
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.
claude-mem91k★
mem063k★
mempalace58k★
langflow153k★
dify152k★
ragflow87k★
langchain144k★
letta24k★
Memori16k★claude-mem91k★mem063k★mempalace58k★langflow153k★dify152k★ragflow87k★langchain144k★letta24k★Memori16k★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 · Aug 19, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 19, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 19, 2026)
w.npmjs.com/package/@cognee/cognee-ts) package to add, cognify, and search from Node.js or the browser.Source link
Source: README excerpt (regex_v1, Aug 19, 2026)
You can install Cognee with **pip**, **poetry**, **uv**, or your preferred Python package manager.Source link
Tags
README
Step 1: Install Cognee
You can install Cognee with pip, poetry, uv, or your preferred Python package manager.
uv pip install cognee
Run with Docker
Prefer containers? Cognee publishes prebuilt images to Docker Hub on every push to main:
cognee/cognee (the API server) and
cognee/cognee-mcp (the MCP server).
Just want to try it? Follow the minimal docker-compose try-out — a single copy-pasteable compose file that runs the prebuilt image, no clone or build needed.
Option A — Docker Compose (build from source)
Clone the repo, create a .env with at least LLM_API_KEY, then:
cp .env.template .env # then edit .env and set LLM_API_KEY
---
# Add the marketplace and install the plugin (one-time, user-scoped)
claude plugin marketplace add topoteretes/cognee-integrations
claude plugin install cognee-memory@cognee
---
### Getting Started with Rust
Use the [cognee-rs](https://github.com/topoteretes/cognee-rs) crate to add, cognify, and search from Rust.
```bash
cargo add cognee
See the cognee-rs repository for full setup and examples.
Getting Started with TypeScript
Use the @cognee/cognee-ts package to add, cognify, and search from Node.js or the browser.
npm install @cognee/cognee-ts
See the @cognee/cognee-ts package for full setup and examples.
For agents
This page has a .md twin and JSON over the API.