head to head · open source
PageIndex vs opencode-mem
PageIndex has 39,112 GitHub stars, 3,395 forks, 103 open issues and last shipped yesterday. opencode-mem has 1,739 stars, 175 forks, 6 open issues and last shipped yesterday. PageIndex leads on adoption by 2,149% (39,112 vs 1,739 stars). PageIndex is written in Python under MIT; opencode-mem is written in TypeScript under MIT. PageIndex has attracted 9% as many forks as stars, opencode-mem 10%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, 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.
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Side by side
| PageIndex | opencode-mem | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 1.7K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-10-13 | 2026-10-13 |
| Forks | ⑂ 3.4K | ⑂ 175 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 39K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick opencode-mem if
- You want the opencode-mem feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and opencode-mem 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 opencode-mem
opencode mem is an MIT licensed, TypeScript plugin for OpenCode that gives AI coding agents persistent memory across sessions by storing and searching vector embeddings in an embedded local Turso/libSQL database.
read the full opencode-mem overview →
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Frequently asked questions
Is PageIndex or opencode-mem more popular?
PageIndex has 39,112 GitHub stars and opencode-mem has 1,739. PageIndex has the larger community by that measure.
Are PageIndex and opencode-mem free?
Both are open source. PageIndex is licensed under MIT and opencode-mem under MIT. Neither carries a licence fee.
What is the difference between PageIndex and opencode-mem?
PageIndex is written in Python and opencode-mem in TypeScript. 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 opencode-mem?
Choose PageIndex if you want the larger community (39,112 stars) or its MIT licence terms. Choose opencode-mem if its feature set, stack or MIT licence fits better. Both are self-hostable.