omniquery

OmmNoMi/omniquery (JavaScript)

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

Vue, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b207e313a4 (2026-09-30).

Selected work

“redesign light frappe cards, multi-draft support, response …”. 20 files, 919 lines in src/components, omniquery, src/utils.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

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

Search the GitHub repository OmmNoMi/omniquery with XERJ (https://hub.xerj.org/corpus/ommnomi--omniquery).
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/OmmNoMi/omniquery omniquery && git -C omniquery checkout b207e313a44440aaddefd51d2499e5b0fe07a6f8
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./omniquery --url http://127.0.0.1:9200 --prefix omniquery --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.