yunho-c /

MLSR

yunho-c/MLSR (Rust)

A new way for AI to search for data

View on GitHub

1GitHub stars

Python, Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 49aa9596fe (2026-10-18).

Selected work

Yunho Cho
@yunho-c

“Qualify Core ML runtime replay and native packaging”. 12 files, 1,189 lines in tools, crates/mlsr, tests.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-19. 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 MLSR handle “Qualify Core ML runtime replay and native packaging”?
What does tools do in MLSR?

The prompt

Paste it into your AI agent. It clones yunho-c/MLSR at the pinned commit and indexes it on your machine.

Search the GitHub repository yunho-c/MLSR with XERJ (https://hub.xerj.org/corpus/yunho-c--mlsr).
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/yunho-c/MLSR MLSR && git -C MLSR checkout 49aa9596fec66e70effc61e741242988d852f93d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./MLSR --url http://127.0.0.1:9200 --prefix mlsr --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: Apache-2.0. Keep the copyright notice and credit the authors.

Yunho Cho API design and specification corpora

Selected work and consent: the XERJ registry.