Thegreatprabh /

Argus

ARGUS: reverse-engineer anything, rebuild everything. Deeper than REA. Runs on Termux

A new way for AI to search for data
View on GitHub
4GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit ae9efeb61a (2026-10-18).

Selected work

Thegreatprabh
@Thegreatprabh

“v0.1: engines (web/apk/binary/firmware/frida/rebuild), MCP server, CL…”. 14 files, 1,255 lines in argus.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-18. 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

apk-analysisbinary-analysisfirmware-analysisfridamcppythonradare2reverse-engineering

Example questions

The prompt

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

Search the GitHub repository Thegreatprabh/Argus with XERJ (https://hub.xerj.org/corpus/thegreatprabh--argus).
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/Thegreatprabh/Argus Argus && git -C Argus checkout ae9efeb61a05b8566db003ba967a33d1adf32f6b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Argus --url http://127.0.0.1:9200 --prefix argus --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

ThegreatprabhSecurity and vulnerabilities corporafastmcpchdbagnoAmz34/rekitmorluto/reaMaz2580/geospark

Selected work and consent: the XERJ registry.