Apex

PNSN (Persistent Neural State Network) is an experimental AI architecture built from scratch in Python, using independent parameter…

A new way for AI to search for data

View on GitHub

2GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f6162e759d.

Selected work

Nova
@pathetictype-bit

“Modified files (to fit PNSN)”. 11 files, 1,594 lines in the project root.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, 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 Apex handle “Modified files (to fit PNSN)”?

The prompt

Paste it into your AI agent. It clones pathetictype-bit/Apex at the pinned commit and indexes it on your machine.

Search the GitHub repository pathetictype-bit/Apex with XERJ (https://hub.xerj.org/corpus/pathetictype-bit--apex).
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/pathetictype-bit/Apex Apex && git -C Apex checkout f6162e759dbc71e70f679e33a3927e4d5b1d2526
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Apex --url http://127.0.0.1:9200 --prefix apex --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: Apache-2.0. Keep the copyright notice and credit the authors.

Nova AI, prompts and agents corpora

Selected work and consent: the XERJ registry.