LowOS

a Website thats simulate an OS

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

JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 4abaa54f1d (2026-10-05).

Selected work

Deadcode
@DeddCode31251

“Add files via upload”. 5 files, 1,628 lines in scripts.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-18. 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

Example questions

The prompt

Paste it into your AI agent. It clones DeddCode31251/LowOS at the pinned commit and indexes it on your machine.

Search the GitHub repository DeddCode31251/LowOS with XERJ (https://hub.xerj.org/corpus/deddcode31251--lowos).
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/DeddCode31251/LowOS LowOS && git -C LowOS checkout 4abaa54f1d2c76cc908a7723170c2a73e309f31c
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./LowOS --url http://127.0.0.1:9200 --prefix lowos --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.