neuroscan-ai
atleekumaar/neuroscan-ai (Jupyter Notebook)
A new way for AI to search for data
22GitHub stars
What XERJ indexed
Selected work
“integrate 6 genuine BraTS 2023 cases, 3D surface …”. 27 files, 4,542 lines in backend, frontend, tests.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-23. 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
- What does backend do in neuroscan-ai?
The prompt
Paste it into your AI agent. It clones atleekumaar/neuroscan-ai at the pinned commit and indexes it on your machine.
Search the GitHub repository atleekumaar/neuroscan-ai with XERJ (https://hub.xerj.org/corpus/atleekumaar--neuroscan-ai). 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/atleekumaar/neuroscan-ai neuroscan-ai && git -C neuroscan-ai checkout 2567ba22c73235eb581d9844e8599b7a2759ee88 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./neuroscan-ai --url http://127.0.0.1:9200 --prefix neuroscan-ai --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
ATUL SHUKLAAI, prompts and agents corpora
Selected work and consent: the XERJ registry.