Ariaryy /
scry-search
A resource-conscious realtime file index and search backend for Windows
A new way for AI to search for data
3GitHub stars
What XERJ indexed
Selected work
“cap retained path-query scratch memory”. 4 files, 291 lines in scry-core, scry-daemon.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-22. 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
file-searchntfsrustsearch-enginewindows
Example questions
- How does scry-search implement file-search?
- Where does scry-search handle “cap retained path-query scratch memory”?
- What does scry-core do in scry-search?
The prompt
Paste it into your AI agent. It clones Ariaryy/scry-search at the pinned commit and indexes it on your machine.
Search the GitHub repository Ariaryy/scry-search with XERJ (https://hub.xerj.org/corpus/ariaryy--scry-search). 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/Ariaryy/scry-search scry-search && git -C scry-search checkout e994a40e464328d4ce602f07cbde5ebdad30e9c0 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./scry-search --url http://127.0.0.1:9200 --prefix scry-search --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
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Selected work and consent: the XERJ registry.