mundus
An interactive three-dimensional Earth exhibit
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“compile exact wordmark layouts offline and avoid polygon searches”. 11 files, 959 lines in src/features, scripts, tests.
Licence
The repository
MIT
From GitHub's licence detection. A person still checks the LICENSE file 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
Example questions
- Where does mundus handle “compile exact wordmark layouts offline and avoid polygon searches”?
- What does src/features do in mundus?
The prompt
Paste it into your AI agent. It clones 0mn1si2i5/mundus at the pinned commit and indexes it on your machine.
Search the GitHub repository 0mn1si2i5/mundus with XERJ (https://hub.xerj.org/corpus/0mn1si2i5--mundus). 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/0mn1si2i5/mundus mundus && git -C mundus checkout b6fced20f879822a1ccf09f60eb9985040a0d74c 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./mundus --url http://127.0.0.1:9200 --prefix mundus --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
Li JiamingAPI design and specification corpora
Selected work and consent: the XERJ registry.