head to head · open source
PageIndex vs llmwiki
PageIndex has 35,696 GitHub stars, 3,147 forks, 103 open issues and last shipped yesterday. llmwiki has 1,625 stars, 234 forks, 28 open issues and last shipped 7 days ago. PageIndex leads on adoption by 2,097% (35,696 vs 1,625 stars). PageIndex is written in Python under MIT; llmwiki is written in Python under Apache-2.0. PageIndex has attracted 9% as many forks as stars, llmwiki 14%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agents, ai-agents, llm, 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 | llmwiki | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 1.6K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-11 |
| Forks | ⑂ 3.1K | ⑂ 234 |
| 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 llmwiki if
- You want the llmwiki 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 llmwiki 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 llmwiki
LLM Wiki is an open source, Apache 2.0 Python project that turns a folder of documents, notes, and web clippings into an autonomous, self maintaining personal Wikipedia written and updated by Claude over MCP, built for individual readers, their AI assistants, and organizations that want a knowledge base they do not have to remember to update.
read the full llmwiki overview →
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Frequently asked questions
Is PageIndex or llmwiki more popular?
PageIndex has 35,696 GitHub stars and llmwiki has 1,625. PageIndex has the larger community by that measure.
Are PageIndex and llmwiki free?
Both are open source. PageIndex is licensed under MIT and llmwiki under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and llmwiki?
PageIndex is written in Python and llmwiki 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 llmwiki?
Choose PageIndex if you want the larger community (35,696 stars) or its MIT licence terms. Choose llmwiki if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.