pi-vida

A persona profile with skills, a safety gate, and a ticket tracker for one language: ruby, rust, python, elixir; inside your repo, on the…

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

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit d84603bad4 (2026-09-16).

Selected work

“/agents command and team list formatter (#77)”. 6 files, 291 lines in extensions, the project root, libexec.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-13. 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

ai-harnessai-harness-developmentpi

Example questions

The prompt

Paste it into your AI agent. It clones igmarin/pi-vida at the pinned commit and indexes it on your machine.

Search the GitHub repository igmarin/pi-vida with XERJ (https://hub.xerj.org/corpus/igmarin--pi-vida).
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/igmarin/pi-vida pi-vida && git -C pi-vida checkout d84603bad4cebee2e518c5a21609569a0fb12bc9
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./pi-vida --url http://127.0.0.1:9200 --prefix pi-vida --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.