head to head · open source
PageIndex vs xerj
PageIndex has 39,958 GitHub stars, 3,438 forks, 103 open issues and last shipped yesterday. xerj has 18,817 stars, 1,435 forks, 16 open issues and last shipped yesterday. PageIndex leads on adoption by 112% (39,958 vs 18,817 stars). PageIndex is written in Python under MIT; xerj is written in Rust under Apache-2.0. PageIndex has attracted 9% as many forks as stars, xerj 8%. xerj was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.
← all 20902 open source comparisons
Side by side
| PageIndex | xerj | |
|---|---|---|
| GitHub stars | ★ 40K | ★ 19K |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 3.4K | ⑂ 1.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 40K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick xerj if
- You want the xerj feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and xerj fits your workflow better
About PageIndex
PageIndex: Vectorless, Reasoning based RAG Reasoning based RAG ◦ No Vector DB, No Chunking ◦ Context Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact Updates [Aug '26] 🔥 PageIndex SDK : pip install U pageindex now ships local mode : index, retrieve, and chat entirely on your machine with your own LLM key, or point the same client at PageIndex Cloud with an API key. [Aug '26] ⚡ PageIndex Flash : fast tree index generation for text based PDFs, now the default indexing method in PageIndex SDK local mode. Scale PageIndex to Millions of Documents: PageIndex File System is a…
read the full PageIndex overview →
About xerj
XERJ XERJ is a community trusted local AI search that indexes any folder automatically, so your coding agent stops burning tokens reading files one by one and pulls the exact code it needs instead. Reference coding is its main use case and the clearest win: point an agent at a task and it downloads the open source repos closest to it, indexes them, and reuses how they solved the problem before writing its own code. In a controlled study that cut a coding agent's output tokens by 2.7x at the same 16/16 solve rate (case study), and people report roughly 5x in everyday work (field reports). It is enough for a…
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 xerj more popular?
PageIndex has 39,958 GitHub stars and xerj has 18,817. PageIndex has the larger community by that measure.
Are PageIndex and xerj free?
Both are open source. PageIndex is licensed under MIT and xerj under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and xerj?
PageIndex is written in Python and xerj in Rust. 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 xerj?
Choose PageIndex if you want the larger community (39,958 stars) or its MIT licence terms. Choose xerj if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.