Minutes is a local-first meeting recorder and voice memo tool for people who want full ownership of their conversation history. Audio never leaves your machine. Transcripts land as plain markdown files on your disk, readable by any tool, searchable by any agent.

It's built for three overlapping audiences: developers who want inspectable, grep-friendly output; knowledge workers who need to capture decisions and action items without a SaaS subscription; and AI-heavy workflows where agents need structured context from past conversations.

How the pipeline works:

• Local transcription via whisper.cpp or the multilingual Parakeet backend, with GPU acceleration and streaming partial results as you speak
• Speaker diarization using pyannote, so multi-person meetings show who said what with timestamps
• Structured extraction pulls action items, decisions, and commitments into queryable markdown automatically
• Relationship memory tracks people, projects, and unresolved commitments across meetings, not just within one
• Voice memo pipeline watches for iPhone Voice Memos, transcribes them on your Mac, and folds them into the same memory layer
• Dictation mode sends spoken text to your clipboard and daily note without switching apps
• 31 MCP tools expose your transcript archive to Claude Desktop, Codex, Gemini CLI, and similar agents

Summarization is optional. Claude or Ollama-backed local models can work conversationally over your transcripts when you ask, using your existing subscription. No API keys are required for transcription.

The file format is a genuine design choice. Every transcript is a markdown file with YAML frontmatter. Timestamps, speakers, and action items stay visible in the raw file, so the source is readable before any assistant touches it. That also means the workflow survives outside Minutes entirely: git, grep, and any note-taking tool that reads plain files all work without modification.

Compared to tools like Meetily or cloud recorders like Otter.ai, Minutes adds cross-meeting intelligence and a broader agent surface. It's MIT licensed.

Prismical is a free, open-source AI note-taking companion that captures meetings, lectures, and voice notes with complete privacy. Unlike traditional meeting recorders, it works silently through your system audio—no bot joins your calls, and no one knows you're recording.

Key capabilities include:

• Real-time transcription with speaker identification using local AI models (Whisper, Parakeet) or cloud providers of your choice
• Automatic summaries and action items that extract key decisions and follow-ups from meetings
• Voice notes and brain dumps that get automatically structured and formatted
• AI integrations via MCP server, allowing Claude, ChatGPT, Gemini, and other assistants to read and write your notes
• Works everywhere by capturing system audio from any app—Zoom, Meet, Teams, Slack, WebEx, or anything that plays audio
• Floating window for always-on-top transcripts and action items without switching apps

Privacy is built in. Audio stays on your machine by default with local AI processing. If you choose cloud transcription, you bring your own API keys. The entire codebase is open source and MIT licensed on GitHub with no hidden data collection.

Available as native apps for Mac and Windows, with iOS and Android coming soon. Perfect for teams, students, doctors, lawyers, journalists, creators, and anyone who needs to capture and organize information from conversations.