Duster

Windows-native disk cleaner and system maintenance CLI written in Go: 34 cache categories, dry-run previews, 7-day undo, WSL 2 and Docker…

A new way for AI to search for data
View on GitHub
11GitHub stars

C#

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 2d62b7a38b (2026-09-26).

Selected work

“every CLI capability in the desktop app”. 54 files, 4,683 lines in gui.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-19. 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

clideveloper-toolsdevtoolsdisk-cleanerdisk-usagedockergogolang

Example questions

The prompt

Paste it into your AI agent. It clones Nur-Adnan/Duster at the pinned commit and indexes it on your machine.

Search the GitHub repository Nur-Adnan/Duster with XERJ (https://hub.xerj.org/corpus/nur-adnan--duster).
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/Nur-Adnan/Duster Duster && git -C Duster checkout 2d62b7a38b55542180551308fc32929e4923a2e0
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Duster --url http://127.0.0.1:9200 --prefix duster --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.