head to head · open source
PageIndex vs endee
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. endee has 1,295 stars, 1,650 forks, 31 open issues and last shipped 2 months ago. PageIndex leads on adoption by 2,662% (35,765 vs 1,295 stars). PageIndex is written in Python under MIT; endee is written in C++ under AGPL-3.0. PageIndex has attracted 9% as many forks as stars, endee 127%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (vector-database), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| PageIndex | endee | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 1.3K |
| License | MIT | AGPL-3.0 |
| Written in | Python | C++ |
| Last push | 2026-09-19 | 2026-07-29 |
| Forks | ⑂ 3.2K | ⑂ 1.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 36K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick endee if
- You want the endee feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches C++
- You evaluated both and endee fits your workflow better
About PageIndex
PageIndex is a vectorless, reasoning based retrieval augmented generation engine written in Python and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, with topics spanning RAG, information retrieval, LLM reasoning, context engineering, and agentic AI. Instead of building a vector index, PageIndex generates a hierarchical tree index for each document and then lets a large language model reason its way through that tree, in the same way a human expert turns to the right section of a long report. The project ships as a Python SDK, a hosted cloud service, and a docume…
read the full PageIndex overview →
About endee
Endee is a C++ vector database and AI search and intelligence platform for teams that need dense, sparse, and filtered retrieval on up to one billion vectors from a single node, available as self hosted software under AGPL 3.0 or as a hosted service.
read the full endee 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 PageIndex or endee more popular?
PageIndex has 35,765 GitHub stars and endee has 1,295. PageIndex has the larger community by that measure.
Are PageIndex and endee free?
Both are open source. PageIndex is licensed under MIT and endee under AGPL-3.0. Neither carries a licence fee.
What is the difference between PageIndex and endee?
PageIndex is written in Python and endee in C++. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PageIndex or endee?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose endee if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.