sourced-intel

One question in, one sourced, verifiable HTML report out

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit e20ae5e841 (2026-10-17).

Selected work

Buckaroo
@banzaicolo

“harden the API and make installs reproducible”. 6 files, 248 lines in tests, src/sourced_intel, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. 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

deep-researchlanggraphllm-agentsosintpythonrag

Example questions

The prompt

Paste it into your AI agent. It clones banzaicolo/sourced-intel at the pinned commit and indexes it on your machine.

Search the GitHub repository banzaicolo/sourced-intel with XERJ (https://hub.xerj.org/corpus/banzaicolo--sourced-intel).
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/banzaicolo/sourced-intel sourced-intel && git -C sourced-intel checkout e20ae5e841cacf0fd3be9fc6dd27d2d892b38a3c
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./sourced-intel --url http://127.0.0.1:9200 --prefix sourced-intel --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

Selected work and consent: the XERJ registry.