Vectis

Open-source cryptographic data protection toolkit for sensitive data workflows

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

Rust, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit bcecb76a89 (2026-10-17).

Selected work

Liesware
@liesware

“aes siv added”. 35 files, 2,020 lines in src/core, src/io, src/ops.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, 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

cryptographydigital-signaturesfpepqcryptorusttokenizationtoolkitsecrets

Example questions

The prompt

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

Search the GitHub repository liesware/Vectis with XERJ (https://hub.xerj.org/corpus/liesware--vectis).
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/liesware/Vectis Vectis && git -C Vectis checkout bcecb76a895fef3478d2d287a4ec4fe84bffbe23
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Vectis --url http://127.0.0.1:9200 --prefix vectis --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.