Hermes Stt Enhance
Local speech-to-text (provider stt_enhance) with faster-whisper or opt-in sherpa-onnx Parakeet V3 and long-audio chunking, plus an optional bounded LLM pass that enhances the transcript using a custom skill, an inline prompt or the default, and keeps the raw transcript on failure.
Good to know before installing
Audio is decoded locally. Post-processing is on by default and sends the transcript text to the LLM Hermes routes the stt_enhance auxiliary task to (your main, usually remote, provider unless you point it at a local endpoint or set post_processing.enabled: false). It reads the body of the SKILL.md you configure (never executed) and runs ffmpeg/ffprobe. The opt-in Parakeet backend reads a local model export and, on first use and only when your config.yaml explicitly sets security.allow_lazy_installs: true, installs pinned sherpa-onnx and numpy from PyPI into ~/.hermes/plugin-runtimes/hermes-stt-enhance/ (shared by all profiles). No tools, hooks, background processes, telemetry or stored credentials.
From the plugin's catalog listing.
How to install
- Install it. Hermes asks for any API keys it needs, then asks whether to turn it on.
hermes plugins install hermes-stt-enhance - Said no? Turn it on later:
hermes plugins enable hermes-stt-enhance - Restart Hermes so it loads the plugin.
Some plugins also need a sign-in or settings: see Full setup & settings. Memory plugins ask whether to become your memory provider instead. Steps follow the official plugins guide (opens in a new tab).
- Category
- Chat apps & voice
- Maintained by
- dmmeteo (Community)
- Needs
- No API keys declared
- Needs Hermes
- 0.15.0 or newer
- Version
- 0.5.1
- In the catalog
- 2026-10-08
Full setup & settings ↗Source code ↗
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