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Description
Meetings produce most commitments, and nobody wants a bot joining their call. Meetily shows the whole pipeline runs locally under MIT. Granola's bot-free approach is popular but gives little back if you don't type notes. OpenClaw added live meeting notes and searchable transcripts.
Idea: Capture system audio and the mic locally, with no bot joining the call. Transcribe with faster-whisper (or Parakeet), then summarize on the local model into decisions, action items and tasks, feeding the dropped-follow-up engine. Recording is visible and opt-in per meeting, and audio is deleted after transcription.
Status in Sentient today: New. Local STT exists in sentient/voice/stt.py.
Where: System-audio capture in desktop/electron/main/ and desktop/src/features/voice/audio/, upload and transcription in sentient/voice/ and sentient/gateway/routes/voice.py, summarizing into tasks via sentient/tasks/service.py and follow-ups in sentient/proactivity/followups.py, and docs/API.md.
Done when:
- a recorded meeting yields a transcript, decisions and action items, with tasks proposed
- a visible indicator shows while recording
- audio is deleted after transcription
- tests cover the pipeline with a fixture audio file and
FakeProvider
Sources:
- https://meetily.ai/open-source
- https://hirekai.ai/blog/granola-review
- https://docs.openclaw.ai/releases
Roadmap ID: PRO-5 · Priority: P1 · Size: L
Activity
GianlucaBave commentedon Nov 5, 2026
Some macOS details from doing this with ScreenCaptureKit, in case they save you time:
I wrote it up as a tiny CLI, one Swift file, as a reference: https://github.com/GianlucaBave/audiotap