rustclaw

Project harness

A new way for AI to search for data
View on GitHub
6GitHub stars

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f5ead81da7 (2026-11-01).

Selected work

Lucas Moraes
@lucas-moraes

“message bus, shared memory e scheduler global de subagentes”. 27 files, 1,296 lines in src/harness.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-11-01. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones lucas-moraes/rustclaw at the pinned commit and indexes it on your machine.

Search the GitHub repository lucas-moraes/rustclaw with XERJ (https://hub.xerj.org/corpus/lucas-moraes--rustclaw).
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/lucas-moraes/rustclaw rustclaw && git -C rustclaw checkout f5ead81da725f4d8c8a7b2a6ba1aeb3525d6f8eb
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./rustclaw --url http://127.0.0.1:9200 --prefix rustclaw --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.