Phnem /
Vetro
A simple project for local storage of your watchlist: movies, TV shows, anime, and anything else you want
A new way for AI to search for data
60GitHub stars
What XERJ indexed
Selected work
“add optional biometric app lock”. 11 files, 505 lines in app/src, app, gradle.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-23. 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
open-source-android-foss-kotlin-mal-anime-tracker
Example questions
- How does Vetro implement open-source-android-foss-kotlin-mal-anime-tracker?
- Where does Vetro handle “add optional biometric app lock”?
- What does app/src do in Vetro?
The prompt
Paste it into your AI agent. It clones Phnem/Vetro at the pinned commit and indexes it on your machine.
Search the GitHub repository Phnem/Vetro with XERJ (https://hub.xerj.org/corpus/phnem--vetro). 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/Phnem/Vetro Vetro && git -C Vetro checkout cdee61cf4acb0acc18e334433a23e392cd8ceb97 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Vetro --url http://127.0.0.1:9200 --prefix vetro --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
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Selected work and consent: the XERJ registry.