SE

simulation engine framework

A new way for AI to search for data

View on GitHub

6GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit bd75a8adfb (2026-10-08).

Selected work

raidenXR
@raidenXR

“added serialization”. 14 files, 743 lines in src/SE-physics, src/SE-data, src/SE-renderer.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

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

Where does SE handle “added serialization”?
What does src/SE-physics do in SE?

The prompt

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

Search the GitHub repository raidenXR/SE with XERJ (https://hub.xerj.org/corpus/raidenxr--se).
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/raidenXR/SE SE && git -C SE checkout bd75a8adfbd8d3d7da75481b47ae7db91dca477b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./SE --url http://127.0.0.1:9200 --prefix se --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.

raidenXR API design and specification corpora

Selected work and consent: the XERJ registry.

SE