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minutes

Local-first conversation memory app with AI agent integration via MCP.

Local-first conversation memory for AI

Transcribe meetings and voice memos on-device into Markdown files your AI agents can query.

Free forever · open source · MIT
✓ Light setup✓ Browser-based✓ Real-time collaboration
7.3
ZEKAI
Local-first AI meeting memory
Free & open source · Pro Services
Ease of setup4
Usefulness9
Maintenance9.5
Community6.5
★ 1,538
GITHUB
Oct 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Minutes is an open-source conversation memory app that records and transcribes meetings, calls, and voice memos directly on your device. It stores records as local Markdown files with YAML frontmatter, letting MCP clients like Claude Code, Cursor, and Codex search your history. It is built for agent-first professionals who want a local capture layer for their second brain.

Runs on
Cross-platform
Hosting
Desktop
Languages
Rust
License
MIT

What it is

The application handles on-device audio capture, local transcription, and speaker processing, saving output into ~/meetings/ as structured Markdown files. It features a desktop app with dictation preferences, a CLI with 58 commands, an MCP server with 34 tools, and a Claude Code plugin with 23 skills. Text only leaves your machine when you explicitly send authorized meeting context to your chosen cloud AI assistant or summarizer.

Who it's for

It suits agent-first users who want to query their meeting history through Claude Code, Cursor, or the CLI and fold context into a local vault or wiki. It does not suit users looking for a fully managed, cloud-hosted workspace or those who want an out-of-the-box cloud transcription service without local setup.

Key features

On-Device Transcription

Transcribes meetings, calls, and voice memos locally on your hardware.

MCP Client Integration

Exposes 34 local tools to query your meeting history via Claude Code, Codex, or Cursor.

Markdown Storage

Saves all records as plain Markdown files with structured YAML frontmatter you own.

Desktop Dictation

Provides menu bar capture, custom spellings, snippets, and local text recovery.

How to start

Up and running in 3 steps

1
Install the desktop app via Homebrew or use the standalone CLI or Cargo install
2
Add the MCP server to your preferred client using the provided terminal commands
3
Record your first meeting or run the demo command to test agent queries
Real talk

Our honest verdict

What's great

  • Audio transcription and speaker processing run entirely on-device for data privacy
  • Integrates directly with local MCP clients including Claude Code, Cursor, and Codex
  • Outputs standard Markdown files with YAML frontmatter compatible with Obsidian and Logseq
  • Includes a robust CLI with 58 commands for automation and local search

Where it falls short

  • Requires manual setup of local MCP integrations and terminal commands
  • Sending authorized context to cloud AI assistants requires external API usage and costs
  • Dictation spelling corrections require explicit confirmation and local Ollama preview setup
Cost

Pricing & license

Minutes is free and open source under the MIT license, with no paid tiers for anything in the repository. The only cost is running it yourself and any external API usage if you choose a cloud AI assistant for summarization.

Paid work

Open remote AI-training roles

876 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Where are my meeting records stored?

All transcriptions are saved as plain Markdown files with YAML frontmatter in your local ~/meetings/ directory.

Can I use Minutes with AI clients other than Claude?

Yes, it supports any MCP client including Cursor, Codex, OpenCode, Pi, Gemini CLI, and Claude Desktop.

Does audio leave my computer during transcription?

No, transcription and speaker processing run entirely on-device, and audio stays on your machine.

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