head to head · open source

vllm vs cognee

vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. cognee has 33,012 stars, 3,448 forks, 495 open issues and last shipped yesterday. vllm leads on adoption by 191% (96,158 vs 33,012 stars). vllm is written in Python under Apache-2.0; cognee is written in Python under Apache-2.0. vllm has attracted 25% as many forks as stars, cognee 10%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

vllm ★ 96K cognee ★ 33K category AI & Machine Learning

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Side by side

vllm cognee
GitHub stars ★ 96K ★ 33K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 24K ⑂ 3.4K
Self-hosting Yes Yes
Data ownership Your server Your server

pick vllm if

  • You weight community size — 96K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full vllm profile →

pick cognee if

  • You want the cognee feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and cognee fits your workflow better

full cognee profile →

About vllm

Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…

read the full vllm overview →

About cognee

Cognee The Open Source AI Memory Platform for Agents Demo . Docs . Learn More · Join Discord · Join r/AIMemory . Community Plugins & Add ons Cognee is the open source AI memory platform that gives AI agents persistent long term memory across sessions. Ingest data in any format, build a self hosted knowledge graph, and let every agent recall, connect, and act with full context 🌐 This README is also available in: Deutsch Español Français 日本語 한국어 Português Русский 中文 📄 Read the research paper: Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning — Markovic et al., 2025 When to use…

read the full cognee overview →

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Frequently asked questions

Is vllm or cognee more popular?

vllm has 96,158 GitHub stars and cognee has 33,012. vllm has the larger community by that measure.

Are vllm and cognee free?

Both are open source. vllm is licensed under Apache-2.0 and cognee under Apache-2.0. Neither carries a licence fee.

What is the difference between vllm and cognee?

vllm is written in Python and cognee in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, vllm or cognee?

Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose cognee if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.