ferret

mitmproxy + pyside6(qfluentwidget) 构建的抓包工具

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 374c6318b4 (2026-10-14).

Selected work

JunctureHao
@JunctureHao

“全局搜索框支持输入历史”. 9 files, 235 lines in tests, src/ferret, the project root.

Licence

The repository

GPL-3.0

Checked by a person at the pinned commit.

The XERJ corpus

Approach only

The author agreed by email on 2026-10-20. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: approach only

Example questions

Where does ferret handle “全局搜索框支持输入历史”?
What does src/ferret do in ferret?

The prompt

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

Search the GitHub repository JunctureHao/ferret with XERJ (https://hub.xerj.org/corpus/juncturehao--ferret).
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/JunctureHao/ferret ferret && git -C ferret checkout 374c6318b412d1e86b244bbe083ef552aba71ea8
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ferret --url http://127.0.0.1:9200 --prefix ferret --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: GPL-3.0. Read it for the approach only, do not copy code.

JunctureHao Networking, protocols and serialisation corpora

Selected work and consent: the XERJ registry.