Gudegi /

KangEngine

C++/Python engine for character motion, robotics simulation, and visualization

A new way for AI to search for data
View on GitHub
2GitHub stars

Python, C++

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 140889c1eb (2026-10-14).

Selected work

Kyungwon Kang
@Gudegi

“REFACTOR(render) : separate app updates from frame rendering (replace…”. 25 files, 680 lines in python, src/engine, bindings.

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

computer-graphicsphysics-simulationrobotics

Example questions

The prompt

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

Search the GitHub repository Gudegi/KangEngine with XERJ (https://hub.xerj.org/corpus/gudegi--kangengine).
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/Gudegi/KangEngine KangEngine && git -C KangEngine checkout 140889c1eb4989d2ad6884287fac922d1704a49c
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./KangEngine --url http://127.0.0.1:9200 --prefix kangengine --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

Kyungwon KangAPI design and specification corporaplan-and-actDexForce/EmbodiChainopenAMRobot/openamr-platform-swkornia/kornia

Selected work and consent: the XERJ registry.