shamash

hulkhongan300/shamash (Rust)

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

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit bb17c4c6d6 (2026-10-15).

Selected work

Afonso Calisto
@hulkhongan300

“play the audio where it is, cache it behind”. 10 files, 2,565 lines in src, examples.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. 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 hulkhongan300/shamash at the pinned commit and indexes it on your machine.

Search the GitHub repository hulkhongan300/shamash with XERJ (https://hub.xerj.org/corpus/hulkhongan300--shamash).
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/hulkhongan300/shamash shamash && git -C shamash checkout bb17c4c6d62c07ec215c7df87337fb750e2de21e
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./shamash --url http://127.0.0.1:9200 --prefix shamash --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.