kensaku

Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search…

A new way for AI to search for data
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186GitHub stars

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 2a81686143 (2026-10-27).

Selected work

“harden agent scopes, OCR fallback, and connect writes”. 11 files, 963 lines in src-tauri.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-27. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

desktopfile-searchfull-text-searchlocal-firstmcprustsearchsemantic-search

Example questions

The prompt

Paste it into your AI agent. It clones yjid/kensaku at the pinned commit and indexes it on your machine.

Search the GitHub repository yjid/kensaku with XERJ (https://hub.xerj.org/corpus/yjid--kensaku).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/yjid/kensaku kensaku && git -C kensaku checkout 2a81686143071934205ad49e63dd053ea565757b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./kensaku --url http://127.0.0.1:9200 --prefix kensaku --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.