mogenga /

Embedded-Ai-Master

嵌入式AI大师

A new way for AI to search for data

View on GitHub

3GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 5767c5c6a7 (2026-10-20).

Selected work

mogenga
@mogenga

“接入工具状态与实时前端”. 29 files, 3,535 lines in tests, src/ui, src/loop.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. 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

Example questions

Where does Embedded-Ai-Master handle “接入工具状态与实时前端”?
What does src/ui do in Embedded-Ai-Master?

The prompt

Paste it into your AI agent. It clones mogenga/Embedded-Ai-Master at the pinned commit and indexes it on your machine.

Search the GitHub repository mogenga/Embedded-Ai-Master with XERJ (https://hub.xerj.org/corpus/mogenga--embedded-ai-master).
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/mogenga/Embedded-Ai-Master Embedded-Ai-Master && git -C Embedded-Ai-Master checkout 5767c5c6a7d8596ef5a3db154c15614afdc3e8ec
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Embedded-Ai-Master --url http://127.0.0.1:9200 --prefix embedded-ai-master --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.

mogenga AI, prompts and agents corpora

Selected work and consent: the XERJ registry.