gust

garthtrickett/gust (Gosu)

A new way for AI to search for data
View on GitHub
2GitHub stars

Rust, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 1ba63b0145 (2026-10-21).

Selected work

garthtrickett
@garthtrickett

“Qualify Phase 26 R2 executable collection provenance”. 20 files, 4,443 lines in compiler, tests, scripts.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. 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 garthtrickett/gust at the pinned commit and indexes it on your machine.

Search the GitHub repository garthtrickett/gust with XERJ (https://hub.xerj.org/corpus/garthtrickett--gust).
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/garthtrickett/gust gust && git -C gust checkout 1ba63b0145a7ae216e0cf892fafa92f295c75ee0
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./gust --url http://127.0.0.1:9200 --prefix gust --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.