alocals3

A S3 client/server

A new way for AI to search for data
View on GitHub
1GitHub stars

Rust, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit ac1873553a (2026-10-17).

Selected work

HfCloud
@sxysxy

“0.11.0”. 14 files, 1,405 lines in src/bin, tests, alocals3.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-18. 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 sxysxy/alocals3 at the pinned commit and indexes it on your machine.

Search the GitHub repository sxysxy/alocals3 with XERJ (https://hub.xerj.org/corpus/sxysxy--alocals3).
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/sxysxy/alocals3 alocals3 && git -C alocals3 checkout ac1873553a5ceeff6f9268369605ca222023f8bd
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./alocals3 --url http://127.0.0.1:9200 --prefix alocals3 --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.