orange-juzipi /

SnapText

orange-juzipi/SnapText (Rust)

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

TypeScript, Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 022bc5706b (2026-09-25).

Selected work

juzipi
@orange-juzipi

“新增 AI 语音朗读与设置适配”. 27 files, 2,109 lines in ui, crates/snaptext-tauri, crates/snaptext-core.

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 orange-juzipi/SnapText at the pinned commit and indexes it on your machine.

Search the GitHub repository orange-juzipi/SnapText with XERJ (https://hub.xerj.org/corpus/orange-juzipi--snaptext).
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/orange-juzipi/SnapText SnapText && git -C SnapText checkout 022bc5706b4e1aa354bfe3df55f8c7384121fad1
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./SnapText --url http://127.0.0.1:9200 --prefix snaptext --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

juzipiAPI design and specification corpora

Selected work and consent: the XERJ registry.