Physica

HYP3R00T/Physica (MDX)

A new way for AI to search for data
View on GitHub
4GitHub stars

JavaScript, TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f9fadba495 (2026-10-01).

Selected work

Rajesh Das
@HYP3R00T

“improve equation references and reading layouts”. 16 files, 413 lines in src/lib, src/styles, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. 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 HYP3R00T/Physica at the pinned commit and indexes it on your machine.

Search the GitHub repository HYP3R00T/Physica with XERJ (https://hub.xerj.org/corpus/hyp3r00t--physica).
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/HYP3R00T/Physica Physica && git -C Physica checkout f9fadba495525bc983641a74994a79f9e66e5dff
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Physica --url http://127.0.0.1:9200 --prefix physica --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.