head to head · open source
PageIndex vs Olares
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. Olares has 5,278 stars, 329 forks, 155 open issues and last shipped yesterday. PageIndex leads on adoption by 578% (35,765 vs 5,278 stars). PageIndex is written in Python under MIT; Olares is written in Go under AGPL-3.0. PageIndex has attracted 9% as many forks as stars, Olares 6%. Olares was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agentic-ai, ai-agents), 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.
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Side by side
| PageIndex | Olares | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 5.3K |
| License | MIT | AGPL-3.0 |
| Written in | Python | Go |
| Last push | 2026-09-19 | 2026-09-19 |
| Forks | ⑂ 3.2K | ⑂ 329 |
| 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 Olares if
- You want the Olares feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Go
- You evaluated both and Olares 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 Olares
Olares is an open source personal cloud operating system built to run AI agents and large language models on hardware you own. It is written in Go and released under the AGPL 3.0 license, and it sits in the cloud native and self hosted corner of the machine learning infrastructure ecosystem. The project describes itself as an operating system you operate in plain language, powered by Kubernetes, turning a machine or a set of machines into a self hosted AI platform reachable from any browser.
read the full Olares overview →
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Frequently asked questions
Is PageIndex or Olares more popular?
PageIndex has 35,765 GitHub stars and Olares has 5,278. PageIndex has the larger community by that measure.
Are PageIndex and Olares free?
Both are open source. PageIndex is licensed under MIT and Olares under AGPL-3.0. Neither carries a licence fee.
What is the difference between PageIndex and Olares?
PageIndex is written in Python and Olares in Go. 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 Olares?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose Olares if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.