head to head · open source
PageIndex vs MineContext
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. MineContext has 5,518 stars, 411 forks, 121 open issues and last shipped 5 months ago. PageIndex leads on adoption by 548% (35,765 vs 5,518 stars). PageIndex is written in Python under MIT; MineContext is written in Python under Apache-2.0. PageIndex has attracted 9% as many forks as stars, MineContext 7%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (context-engineering, rag), 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 | MineContext | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 5.5K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-05-07 |
| Forks | ⑂ 3.2K | ⑂ 411 |
| 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 MineContext if
- You want the MineContext 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 MineContext 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 MineContext
MineContext is an open source, proactive context aware AI partner that watches screen activity and turns it into insights, daily and weekly summaries, to do lists, and activity records, built for people who want a local first memory layer for their working day.
read the full MineContext overview →
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Frequently asked questions
Is PageIndex or MineContext more popular?
PageIndex has 35,765 GitHub stars and MineContext has 5,518. PageIndex has the larger community by that measure.
Are PageIndex and MineContext free?
Both are open source. PageIndex is licensed under MIT and MineContext under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and MineContext?
PageIndex is written in Python and MineContext 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, PageIndex or MineContext?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose MineContext if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.