suay

Distributed AI compute for local networks. Pool idle CPU/GPU resources, share LLM inference workloads, and centrally manage native AI…

A new way for AI to search for data

View on GitHub

2GitHub stars

Python, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit c7f97c6e82 (2026-10-23).

Selected work

campong
@camponggogo

“publish-pasadhi-pitch-theme-downloads-and-open-font-papers”. 27 files, 1,689 lines in landing-pasadhi, deploy, scripts.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-24. 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 suay handle “publish-pasadhi-pitch-theme-downloads-and-open-font-papers”?
What does landing-pasadhi do in suay?

The prompt

Paste it into your AI agent. It clones camponggogo/suay at the pinned commit and indexes it on your machine.

Search the GitHub repository camponggogo/suay with XERJ (https://hub.xerj.org/corpus/camponggogo--suay).
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/camponggogo/suay suay && git -C suay checkout c7f97c6e8258d80634e564f79ed2e0c73846966f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./suay --url http://127.0.0.1:9200 --prefix suay --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.

campong AI, prompts and agents corpora

Selected work and consent: the XERJ registry.