piihush

Fast PII and secret masking for RAG and LLM pipelines. piihush is a Rust extension for Python that removes sensitive data from your text…

A new way for AI to search for data

View on GitHub

4GitHub stars

Python, Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit e7125e6c6d (2026-11-01).

Selected work

Dennis K
@aziaya

“Add Python bindings and test suite”. 4 files, 413 lines in tests, src, python.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-11-02. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

Example questions

Where does piihush handle “Add Python bindings and test suite”?
What does python do in piihush?

The prompt

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

Search the GitHub repository aziaya/piihush with XERJ (https://hub.xerj.org/corpus/aziaya--piihush).
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/aziaya/piihush piihush && git -C piihush checkout e7125e6c6d7b7e8bb7272ab0dc5d7b86e67c318f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./piihush --url http://127.0.0.1:9200 --prefix piihush --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.

Dennis K AI, prompts and agents corpora

Selected work and consent: the XERJ registry.