obtura

cali-sb/obtura (Python)

A new way for AI to search for data
View on GitHub
1GitHub stars

shell

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 84029ea00c (2026-10-20).

Selected work

CarlosArraiza
@CarlosArraiza

“facecam-linux v0.2.0: facecam-gui”. 5 files, 381 lines in facecam, the project root.

Licence

The repository

GPL-3.0

Checked by a person at the pinned commit.

The XERJ corpus

Approach only

The author agreed by email on 2026-10-23. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: approach only

Example questions

The prompt

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

Search the GitHub repository CarlosArraiza/obtura with XERJ (https://hub.xerj.org/corpus/cali-sb--obtura).
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/CarlosArraiza/obtura obtura && git -C obtura checkout 84029ea00c73e648f84785398776f5f566023947
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./obtura --url http://127.0.0.1:9200 --prefix obtura --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: GPL-3.0. Read it for the approach only, do not copy code.

Related

Selected work and consent: the XERJ registry.