onecorner

my blog

A new way for AI to search for data

View on GitHub

2GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b98ecf2b1c.

Selected work

Mingli Yuan
@mountain

Licence

The repository

NONE

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

The XERJ corpus

NONE, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-11-10. 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

The prompt

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

Search the GitHub repository mountain/onecorner with XERJ (https://hub.xerj.org/corpus/mountain--onecorner).
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/mountain/onecorner onecorner && git -C onecorner checkout b98ecf2b1c5ca1d2de72b00db033e25b0362a7bf
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./onecorner --url http://127.0.0.1:9200 --prefix onecorner --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: check the LICENSE file. Keep the copyright notice and credit the authors.

Mingli Yuan Writing and copy corpora

Selected work and consent: the XERJ registry.