minutes
Open-source conversation memory. useminutes.app
Agents have run logs. Humans have conversations. minutes captures the human side — the decisions, the intent, the context that agents need but can't observe — and makes it queryable.
Record a meeting. Capture a voice memo on a walk. Ask Claude "what did I promise Sarah?" — and get an answer. Your AI remembers every conversation you've had.
Works with
Claude Code • Codex • Gemini CLI • Claude Desktop • Mistral Vibe • Obsidian • Logseq • Phone Voice Memos • Any MCP client
Quick start
# macOS — Desktop app (menu bar, recording UI, AI assistant)
brew install --cask silverstein/tap/minutes
# macOS — CLI only
brew tap silverstein/tap && brew install minutes
# Any platform — from source (requires Rust + cmake; Windows also needs LLVM)
cargo install minutes-cli # macOS/Linux
cargo install minutes-cli --no-default-features # Windows (see install notes below)
# MCP server only — no Rust needed (Claude Code, Codex, Gemini CLI, Claude Desktop, etc.)
npx minutes-mcp
minutes setup --model small # Download whisper model (466MB, recommended)
minutes record # Start recording
minutes stop # Stop and transcribe
How it works
Audio → Transcribe → Diarize → Summarize → Structured Markdown → Relationship Graph
(local) (local) (LLM) (decisions, (people, commitments,
whisper.cpp pyannote-rs Claude/ action items, topics, scores)
/parakeet (native) Ollama/ people, entities) SQLite index
Mistral/OpenAI
Everything runs locally. Your audio never leaves your machine (unless you opt into cloud LLM summarization). Speakers are identified via native diarization. The relationship graph indexes people, commitments, and topics across all meetings for instant queries.
Features
Record meetings
minutes record # Record from mic
minutes record --title "Standup" --context "Sprint 4 blockers" # With context
minutes record --language ur # Force Urdu (ISO 639-1 code)
minutes record --device "AirPods Pro" # Use specific audio device
minutes stop # Stop from another terminal
Take notes during meetings
minutes note "Alex wants monthly billing not annual billing" # Timestamped, feeds into summary
minutes note "Logan agreed" # LLM weights your notes heavily
Process voice memos
minutes process ~/Downloads/voice-memo.m4a # Any audio format
minutes watch # Auto-process new files in inbox
Search everything
minutes search "pricing" # Full-text search
minutes search "onboarding" -t memo # Filter by type
minutes actions # Open action items across all meetings
minutes actions --assignee sarah # Filter by person
minutes list # Recent recordings
Relationship intelligence
"What did I promise Sarah?" — the query nobody else can answer.
minutes people # Who you talk to, how often, about what
minutes people --rebuild # Rebuild the relationship index
minutes commitments # All open + overdue commitments
minutes commitments --person alex # What did I promise Alex?
Tracks people, commitments, topics, and relationship health across every meeting. Detects when you're losing touch with someone. Suggests duplicate contacts ("Sarah Chen" ↔ "Sarah"). Powered by a SQLite index rebuilt from your markdown in <50ms.