head to head · open source
xerj vs vearch
xerj has 18,817 GitHub stars, 1,435 forks, 16 open issues and last shipped yesterday. vearch has 2,333 stars, 366 forks, 170 open issues and last shipped 3 months ago. xerj leads on adoption by 707% (18,817 vs 2,333 stars). xerj is written in Rust under Apache-2.0; vearch is written in Python under Apache-2.0. xerj has attracted 8% as many forks as stars, vearch 16%. xerj was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (hybrid-search), 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
| xerj | vearch | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 2.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Python |
| Last push | 2026-11-02 | 2026-07-27 |
| Forks | ⑂ 1.4K | ⑂ 366 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick xerj if
- You weight community size — 19K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick vearch if
- You want the vearch 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 vearch fits your workflow better
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…
About vearch
简体中文 English Overview Vearch is a cloud native distributed vector database for efficient similarity search of embedding vectors in your AI applications. Key features Hybrid search : Both vector search and scalar filtering. Performance : Fast vector retrieval search from millions of objects in milliseconds. Scalability & Reliability : Replication and elastic scaling out. Document Restful APIs Tutorial 参考文档 OpenAPIs API Documentation SDK Usage Cases Use Vearch as a Memory Backend Vearch integrates with popular AI frameworks: Real world Demos VisualSearch : Vearch can be leveraged to build a complete visual search…
read the full vearch overview →
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Frequently asked questions
Is xerj or vearch more popular?
xerj has 18,817 GitHub stars and vearch has 2,333. xerj has the larger community by that measure.
Are xerj and vearch free?
Both are open source. xerj is licensed under Apache-2.0 and vearch under Apache-2.0. Neither carries a licence fee.
What is the difference between xerj and vearch?
xerj is written in Rust and vearch 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, xerj or vearch?
Choose xerj if you want the larger community (18,817 stars) or its Apache-2.0 licence terms. Choose vearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.