head to head · open source

cognee vs dingo

cognee has 33,063 GitHub stars, 3,459 forks, 495 open issues and last shipped yesterday. dingo has 1,705 stars, 263 forks, 8 open issues and last shipped 6 days ago. cognee leads on adoption by 1,839% (33,063 vs 1,705 stars). cognee is written in Python under Apache-2.0; dingo is written in Java under Apache-2.0. cognee has attracted 10% as many forks as stars, dingo 15%. cognee 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.

cognee ★ 33K dingo ★ 1.7K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

cognee dingo
GitHub stars ★ 33K ★ 1.7K
License Apache-2.0 Apache-2.0
Written in Python Java
Last push 2026-11-04 2026-10-30
Forks ⑂ 3.5K ⑂ 263
Self-hosting Yes Yes
Data ownership Your server Your server

pick cognee if

  • You weight community size — 33K 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 cognee profile →

pick dingo if

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

full dingo profile →

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 →

About dingo

DingoDB DingoDB is an open source distributed multi modal vector database independently designed and developed by DataCanvas, which integrates real time strong consistency, relational semantics, and vector semantics into a unified platform, DingoDB positioning itself as a distinctive multi modal database solution. With exceptional horizontal scalability and elastic scaling capabilities, it effortlessly meets enterprise grade high availability requirements. Furthermore, DingoDB offers extensive multi language interfaces and seamless compatibility with the MySQL protocol, delivering unparalleled flexibility and…

read the full dingo overview →

More in AI & Machine Learning

Related comparisons

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Frequently asked questions

Is cognee or dingo more popular?

cognee has 33,063 GitHub stars and dingo has 1,705. cognee has the larger community by that measure.

Are cognee and dingo free?

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

What is the difference between cognee and dingo?

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

Which should I choose, cognee or dingo?

Choose cognee if you want the larger community (33,063 stars) or its Apache-2.0 licence terms. Choose dingo if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.