minutes
Open-source meeting transcription with local storage and AI integration
AI Summary
minutes is an open-source desktop application that transcribes meetings and voice memos locally on your own computer and saves them as structured Markdown. The software uses whisper.cpp or parakeet.cpp for speech recognition, automatically extracts action items and decisions, and offers native integration with AI assistants like Claude via the Model Context Protocol (MCP). All data remains stored locally without cloud dependency.
✓ Pros
- + Fully local and open-source (MIT license) without cloud dependency or privacy risks
- + Native integration with AI assistants via MCP protocol and structured Markdown output
- + Free to use without API keys with optional LLM summarization
✗ Cons
- − Currently only available for Mac (Apple Silicon) and Windows, no Linux version mentioned
- − Requires technical understanding for setup and configuration, not as user-friendly as SaaS alternatives
Use Cases
- → Local transcription of team meetings with automatic speaker recognition and action item extraction
- → Processing iPhone voice memos on Mac with integration into personal knowledge systems
- → Quick dictation function for notes and commands via hotkey directly to clipboard
- → Searchable meeting archive for AI assistants like Claude with 29 MCP tools for querying
Who is it for?
Developers and privacy-conscious users who want to process meeting transcriptions locally and integrate them into AI workflows.
