silverstein

silverstein / minutes

Public

Every meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.

44
2
100% credibility
Found Mar 21, 2026 at 44 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

minutes is a command-line tool that records, transcribes, summarizes, and makes queryable meetings and voice memos, extracting decisions, action items, attendees, and context while running primarily locally.

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AI-Generated Review

What is minutes?

Minutes is a Rust-based CLI and desktop app that records meetings or voice memos from your mic, transcribes them locally with Whisper.cpp, and outputs searchable Markdown files packed with summaries, action items, and decisions. It solves the problem of forgotten context in every meeting ever by making your conversation history queryable via simple commands like `minutes search "pricing"` or `minutes actions --assignee mat`, plus seamless integration with Claude via the MCP protocol—no API keys needed. Everything stays private on your machine, with optional screen captures for richer AI context.

Why is it gaining traction?

It stands out with zero-config local processing (no cloud uploads), automatic calendar matching for attendees, and Claude-native tools like `list_meetings` or interactive dashboards that let your AI pull from every meeting ever without extra setup. Developers dig the Tauri tray app for one-click recording, Granola import, and watch mode for iPhone voice memos—turning scattered notes into a structured memory layer for agents. Free minutes GitHub Actions workflows and build minutes GitHub simplicity hook tinkerers building AI tools.

Who should use this?

Solo founders or AI agent builders querying "what was decided three weeks ago?" via Claude Desktop/Cursor. Remote devs in compound-engineering teams tracking every meeting has a goodbye quotes or action items across calls. Power users wanting every GitHub achievement in conversation recall, without manual Obsidian tweaks.

Verdict

Early alpha with 44 stars and 1.0% credibility score means expect rough edges, but excellent README and MIT license make it worth forking—try the desktop build if you're on macOS and need local meeting memory now. Solid for prototypes, skip for production teams.

(198 words)

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