ManfuG /

HanPit

Offline Chinese learning for Android and web: FSRS-6 flashcards, Mandarin audio, grammar, readings, progressive HSK tests and portable…

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

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit febde2ac26 (2026-10-19).

Selected work

ManGia
@ManfuG

“Polish Android entry and compact study screens”. 7 files, 838 lines in src, android, 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 2026-10-22. 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

androidcapacitorchinese-learningflashcardsfsrshsklocal-firstoffline-first

Example questions

The prompt

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

Search the GitHub repository ManfuG/HanPit with XERJ (https://hub.xerj.org/corpus/manfug--hanpit).
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/ManfuG/HanPit HanPit && git -C HanPit checkout febde2ac261f47df1b553a847c09d185372803a1
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./HanPit --url http://127.0.0.1:9200 --prefix hanpit --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

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Selected work and consent: the XERJ registry.