flowd

Local, offline, streaming dictation for Linux with on-device LLM cleanup

A new way for AI to search for data
View on GitHub
2GitHub stars

Python, shell

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit e2f0be70e3 (2026-10-21).

Selected work

harshit saini
@harshitsaini17

“opt-in Nemotron streaming preview”. 13 files, 551 lines in tests, flowd, scripts.

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

dictationhyprlandlinuxllama-cpplocal-firstprivacyspeech-to-textwayland

Example questions

The prompt

Paste it into your AI agent. It clones harshitsaini17/flowd at the pinned commit and indexes it on your machine.

Search the GitHub repository harshitsaini17/flowd with XERJ (https://hub.xerj.org/corpus/harshitsaini17--flowd).
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/harshitsaini17/flowd flowd && git -C flowd checkout e2f0be70e3f1f19f299a8869edbdae59ce290a4b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./flowd --url http://127.0.0.1:9200 --prefix flowd --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.