veilm /

imv2

fork of imv with gallery/thumbnail mode like nsxiv has

A new way for AI to search for data

View on GitHub

1GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 44d5285dda (2026-09-24).

Selected work

sucralose
@veilm

“Thu Sep 24 18:50:58 EDT 2026 hnt-tagme”. 10 files, 429 lines in src, test, the project root.

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

Where does imv2 handle “Thu Sep 24 18:50:58 EDT 2026 hnt-tagme”?

The prompt

Paste it into your AI agent. It clones veilm/imv2 at the pinned commit and indexes it on your machine.

Search the GitHub repository veilm/imv2 with XERJ (https://hub.xerj.org/corpus/veilm--imv2).
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/veilm/imv2 imv2 && git -C imv2 checkout 44d5285dda0b593d655b7cd027a80a9f73504baa
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./imv2 --url http://127.0.0.1:9200 --prefix imv2 --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.

sucralose API design and specification corpora

Selected work and consent: the XERJ registry.