head to head · open source
xerj vs txtai
xerj has 18,817 GitHub stars, 1,435 forks, 16 open issues and last shipped yesterday. txtai has 13,062 stars, 960 forks, 9 open issues and last shipped 2 days ago. xerj leads on adoption by 44% (18,817 vs 13,062 stars). xerj is written in Rust under Apache-2.0; txtai is written in Python under Apache-2.0. xerj has attracted 8% as many forks as stars, txtai 7%. 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.
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Side by side
| xerj | txtai | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 13K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Python |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 1.4K | ⑂ 960 |
| 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 txtai if
- You want the txtai 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 txtai 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 txtai
All in one AI framework txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi model workflows and more. Summary of txtai features: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and…
read the full txtai overview →
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Frequently asked questions
Is xerj or txtai more popular?
xerj has 18,817 GitHub stars and txtai has 13,062. xerj has the larger community by that measure.
Are xerj and txtai free?
Both are open source. xerj is licensed under Apache-2.0 and txtai under Apache-2.0. Neither carries a licence fee.
What is the difference between xerj and txtai?
xerj is written in Rust and txtai 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 txtai?
Choose xerj if you want the larger community (18,817 stars) or its Apache-2.0 licence terms. Choose txtai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.