Productivité
note67
Private meeting notes with local Whisper transcription on your Mac.
★ 217 étoilesAGPL-3.0
Voir le guide →minutes est un projet de audio open source, créé par silverstein (silverstein/minutes sur GitHub). Il compte 1 528 étoiles sur GitHub et 169 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 4 octobre 2026.
Local-first meeting notes your AI coding agents can query over MCP.
Grab the release from the official site.
Capture audio and let local transcription do the work.
Point Claude Code, Codex, or Cursor at the MCP server.
Ask your agent what was decided in any meeting.
Meeting audio and notes stay on your device.
Agents read your notes over Model Context Protocol.
Ships skills for Claude Code, Codex, and Cursor.
Transcribes with local models for privacy.
Free for personal and commercial use.
A fast native app, not an Electron wrapper.
Download the source and enter the folder.
git clone https://github.com/silverstein/minutes.git
cd minutesCompile the Rust application.
cargo build --releaseStart the server your agents connect to.
./target/release/minutes --helpAn open-source, local-first meeting-notes app that AI agents can query over MCP, at silverstein/minutes.
Claude Code, Codex, Cursor, and any MCP client.
No. It is local-first with on-device transcription.
Yes. MIT licensed.
Check the releases on the official site and repo for supported platforms.
Private meeting notes with local Whisper transcription on your Mac.
Free Mac meeting-notes app with offline transcription and AI notes.
AWS sample app for live meeting transcription and AI summaries.
Local-first AI meeting minutes workbench: FunASR speech-to-text + Ollama LLM.
Live captions and AI meeting review from any system audio — local-first.
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
Les autres projets de la catégorie Audio avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si minutes ne vous convient pas.
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Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Projets de la catégorie Audio proches dans le catalogue, les plus proches en étoiles de minutes — continuez à explorer de part et d'autre.
Open-source AI dictation that types 3x faster, fully offline.
Machine-learning karaoke with scores — sing at home, for free.
Instant, ultra-realistic text-to-speech from a simple local app.
Self-host Chatterbox TTS with web UI, API, and voice cloning.
Obs-localvocal — obs plugin for local speech recognition and captioning, open-source.
Blazing-fast multi-backend Whisper transcription for any file or URL.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.