fermata

zaxchou/fermata (Python)

A new way for AI to search for data
View on GitHub
1GitHub stars
8commits on main
0forks
v1.0.2latest release, 2026-10-08

Python 73.4%, HTML 26.6% · created 2026-10-08 · last push 2026-10-08

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit cfa5a4e490 (2026-10-08). main is 3 commits ahead.

Selected work

zax
@zaxchou

“Review pass: cut the CPU cost 10x, fix the state that drifts, add a C…”. 9 files, 679 lines in app/core, tests, app.

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 2026-10-25. 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

audiobluetoothkeepalivepywebviewsounddevicespeakerstandbytray

Example questions

The prompt

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

Search the GitHub repository zaxchou/fermata with XERJ (https://hub.xerj.org/corpus/zaxchou--fermata).
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/zaxchou/fermata fermata && git -C fermata checkout cfa5a4e4905a6ee23cd61af0c49b4b9225f0cea9
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./fermata --url http://127.0.0.1:9200 --prefix fermata --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

Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.