pi-wechat-assistant

在微信里继续你的 pi 对话。Continue your pi conversation from WeChat: tasks, replies, images, and files

A new way for AI to search for data
View on GitHub
20GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 13f8938693 (2026-10-19).

Selected work

JayShen
@shenjiecode

“restore configurable receipt notifications”. 7 files, 166 lines in tests, src/extension, src/bridge.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-19. 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

ai-agentcoding-agentpi-extensiontypescriptwechat

Example questions

The prompt

Paste it into your AI agent. It clones shenjiecode/pi-wechat-assistant at the pinned commit and indexes it on your machine.

Search the GitHub repository shenjiecode/pi-wechat-assistant with XERJ (https://hub.xerj.org/corpus/shenjiecode--pi-wechat-assistant).
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/shenjiecode/pi-wechat-assistant pi-wechat-assistant && git -C pi-wechat-assistant checkout 13f893869385d44e8937f857e2cbd3e835d132df
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./pi-wechat-assistant --url http://127.0.0.1:9200 --prefix pi-wechat-assistant --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.