Продуктивность
note67
Private meeting notes with local Whisper transcription on your Mac.
★ 217 звёздAGPL-3.0
Смотреть руководство →minutes — проект с открытым исходным кодом из категории «Аудио» от silverstein (silverstein/minutes на GitHub). У него 1 528 звёзд на GitHub и 169 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 4 октября 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.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если minutes вам не подходит.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к minutes — продолжайте изучать полку по обе стороны от него.
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.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.