my-jarvis

Fully local voice assistant for macOS (Apple Silicon): Ollama + Whisper + Piper. No cloud, no tokens

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

Python, TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 3032fa16b0 (2026-10-23).

Selected work

Michelle Budri Bognar
@MichelleBudri

“Spotify voice control and music ducking (phase 9)”. 11 files, 745 lines in backend, tests, frontend.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-24. 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-assistantsmacosoffline-aiollamapythonspeech-recognition

Example questions

The prompt

Paste it into your AI agent. It clones MichelleBudri/my-jarvis at the pinned commit and indexes it on your machine.

Search the GitHub repository MichelleBudri/my-jarvis with XERJ (https://hub.xerj.org/corpus/michellebudri--my-jarvis).
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/MichelleBudri/my-jarvis my-jarvis && git -C my-jarvis checkout 3032fa16b054004db7b2ab201519ee2928078dad
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./my-jarvis --url http://127.0.0.1:9200 --prefix my-jarvis --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.