head to head · open source

cognee vs dingo

cognee has 30,848 GitHub stars, 3,066 forks, 495 open issues and last shipped yesterday. dingo has 1,704 stars, 264 forks, 8 open issues and last shipped 2 months ago. cognee leads on adoption by 1,710% (30,848 vs 1,704 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 ★ 31K dingo ★ 1.7K category AI & Machine Learning

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Side by side

cognee dingo
GitHub stars ★ 31K ★ 1.7K
License Apache-2.0 Apache-2.0
Written in Python Java
Last push 2026-09-19 2026-07-10
Forks ⑂ 3.1K ⑂ 264
Self-hosting Yes Yes
Data ownership Your server Your server

pick cognee if

  • You weight community size — 31K 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 is an open source AI memory platform for agents, released under the Apache 2.0 license and written in Python. It ingests data in any format and builds a self hosted knowledge graph that agents query to recall, connect, and act with full context across sessions. The project lives in the Python ecosystem, installs through standard package managers, and sits in the AI and machine learning infrastructure category alongside graph databases and context engineering tooling. A companion research paper, "Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning" by Markovic et al., 2025, docu…

read the full cognee overview →

About dingo

DingoDB is an Apache 2.0 licensed, Java based distributed multi modal vector database from DataCanvas that unifies relational and vector semantics behind a MySQL compatible SQL interface, built for teams that need hybrid scalar and vector queries over structured and unstructured data at high concurrency and ultra low latency.

read the full dingo overview →

More in AI & Machine Learning

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

cognee vs Ollama cognee vs llama.cpp cognee vs vllm cognee vs GPT4All cognee vs llama_index cognee vs LocalAI cognee vs faiss cognee vs PageIndex cognee vs Langfuse cognee vs taipy cognee vs dagster cognee vs zvec

Frequently asked questions

Is cognee or dingo more popular?

cognee has 30,848 GitHub stars and dingo has 1,704. 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 (30,848 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.