call.md README

The project's README from github.com/video-db/call.md. As one markdown file: README.md.

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Call.md

Turn meetings into live agent loops. Record, transcribe, and analyze meetings with real-time AI intelligence — before, during, and after calls.
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Demo

https://github.com/user-attachments/assets/94470e99-c0f6-4e35-9d03-b28efa362b3b

Quick Install

macOS (Apple Silicon & Intel):

curl -fsSL https://artifacts.videodb.io/call.md/install | bash

After installation:

  1. Launch Call.md from Applications or Spotlight
  2. Grant system permissions when prompted, or configure them later from Settings
  3. Register with your VideoDB API key (get one free)

Microphone and screen-recording permissions are required before the first recording. Google Calendar is optional and can be connected or skipped during onboarding.

Platform Support

Platform Installer Status
macOS 12+ (Apple Silicon & Intel) curl command above Supported
Windows x64 Build from source with npm run dist:win Recording supported; no hosted installer yet
Windows ARM64 — Recording not supported
Linux Build from source with npm run dist:linux App features available; recording not supported

The VideoDB capture SDK now ships recording binaries for darwin-arm64, darwin-x64, and win32-x64. Call.md verifies that the capture executable and SQLite native module are present in the packaged app.

Windows x64 recording is supported by the source build, but the project does not currently publish a Windows installer. Linux and Windows ARM64 builds can run the UI, MCP servers, workflows, history, settings, and exports, but the app will reject recording before launch because no capture binary is available. See Building for other platforms.


Overview

Call.md turns meetings into live agent loops. It records locally, transcribes in real-time (you vs them), and provides live intelligence during calls. When the meeting ends, it generates summaries with action items and can send data to your workflow automation platforms.

Features

During the Meeting (Live Intelligence)

Post-Meeting Intelligence

Meeting Preparation

Privacy & Storage

How It Works

During Recording:

After Recording:

Tech Stack

Prerequisites

For development: Node.js 22.12+ and npm 10+

Getting Started (Users)

  1. Install:

    curl -fsSL https://artifacts.videodb.io/call.md/install | bash
    
  2. Launch the app and enter your VideoDB API key (get one free)

  3. Grant permissions when prompted, or configure them later in Settings

  4. Start Recording - Click "New Meeting" and begin your first session

The app will transcribe in real-time, show live assists, and generate a summary when you're done.


Getting Started (Developers)

  1. Clone the repository:

    git clone https://github.com/video-db/call.md.git
    cd call-md
    
  2. Install dependencies:

    npm install
    
  3. Rebuild native modules for Electron:

    npm run rebuild
    
  4. Start development mode:

    npm run dev
    
  5. Register with your VideoDB API key when the app opens

Available Scripts

Command Description
npm run dev Start development mode (main + renderer with hot reload)
npm run build Build TypeScript and React for production
npm run dist:mac Build macOS distributable DMG
npm run dist:win Build Windows x64 NSIS installer with recording support
npm run dist:linux Build Linux AppImage (recording unavailable, see below)
npm run typecheck Run TypeScript type checking
npm run test Run unit tests
npm run lint Run ESLint
npm run rebuild Rebuild native modules for Electron
npm run db:generate Generate database migration files
npm run db:migrate Apply database migrations

Building for other platforms

electron-builder is already configured for Windows (NSIS) and Linux (AppImage), so you can produce an installer on those platforms:

npm ci
npm run dist:win

Build and run the release candidate on its target OS. The project uses published target prebuilds for better-sqlite3 and packaged VideoDB capture binaries, so a macOS development machine can cross-package a Windows x64 directory build for structural verification. That does not replace native Windows testing or installer signing. This follows electron-builder's multi-platform build guidance, which requires target prebuilds for native dependencies and still needs target-platform validation.

Recording support is available on macOS arm64/x64 and Windows x64. On Linux and Windows ARM64, the full UI, MCP servers, workflows, settings, history, and markdown export remain available; starting a recording returns a clear unsupported-platform error.

Release artifacts must be signed with the project's platform credentials. macOS releases also need notarization and stapling. Unsigned local builds can receive a different Keychain or OS-permission identity on every rebuild and are not representative of the installed release.

MCP Server Setup

Connect MCP servers in Settings → MCP Servers:

  1. Click Add Server
  2. Choose transport: stdio (local) or http (remote)
  3. Configure and click Connect

The MCP agent runs automatically during meetings, detects information needs from conversation, and triggers relevant tools. Results appear inline in the MCP Results panel.

Development

Project Structure

src/
├── main/                   # Electron Main Process
│   ├── db/                 # Database layer (Drizzle + SQLite)
│   ├── ipc/                # IPC handlers
│   ├── lib/                # Utilities (logger, paths, permissions)
│   ├── server/             # HTTP server (Hono + tRPC)
│   │   └── trpc/           # tRPC router and procedures
│   └── services/           # Business logic
│       ├── copilot/        # Meeting intelligence services
│       │   ├── context-manager.service.ts
│       │   ├── conversation-metrics.service.ts
│       │   ├── nudge-engine.service.ts
│       │   ├── sales-copilot.service.ts  # Core orchestrator
│       │   ├── summary-generator.service.ts
│       │   └── transcript-buffer.service.ts
│       ├── mcp/            # MCP orchestration and tool execution
│       │   ├── connection-orchestrator.service.ts
│       │   ├── intent-detector.service.ts
│       │   ├── mcp-agent.service.ts
│       │   ├── tool-aggregator.service.ts
│       │   └── result-handler.service.ts
│       ├── live-assist.service.ts
│       ├── mcp-inference.service.ts
│       ├── llm.service.ts
│       └── videodb.service.ts
├── preload/                # Preload scripts (IPC bridge)
├── renderer/               # React Frontend
│   ├── api/                # tRPC client
│   ├── components/         # UI components
│   │   ├── auth/           # Authentication modal
│   │   ├── calendar/       # Calendar integration UI
│   │   ├── copilot/        # Meeting intelligence UI
│   │   ├── history/        # Recording history views
│   │   ├── home/           # Home screen
│   │   ├── icons/          # Icon components
│   │   ├── layout/         # App layout (sidebar, titlebar)
│   │   ├── mcp/            # MCP results/status components
│   │   ├── meeting-setup/  # Meeting prep wizard
│   │   ├── recording/      # Recording controls & live assist
│   │   ├── settings/       # Settings editors
│   │   ├── transcription/  # Live transcription panel
│   │   └── ui/             # shadcn/ui components
│   ├── hooks/              # Custom React hooks
│   ├── lib/                # Utilities
│   └── stores/             # Zustand state stores (session, copilot, mcp)
└── shared/                 # Shared types & schemas
    ├── schemas/            # Zod validation schemas
    └── types/              # TypeScript types

IPC API

The app exposes IPC APIs through the preload script:

Permissions

The app requires the following permissions before recording:

On macOS, grant them in System Settings → Privacy & Security. Newer macOS versions label the screen permission Screen & System Audio Recording. On Windows, enable microphone access for desktop apps when prompted. You can skip permission setup during onboarding and return to it from Settings, but recording will remain unavailable until the required permissions are granted.

Troubleshooting

Recording not starting:

Transcription not appearing:

A recording stopped on its own:

Transcription is in the wrong language:

Development issues:

Data Storage

Application data is stored in:

~/Library/Application Support/call-md/
├── config.json             # Settings and encrypted desktop access token
├── data/
│   └── call-md.db          # SQLite database; sole encrypted API-key authority
├── google_tokens.enc       # Encrypted Google OAuth tokens, when connected
└── logs/
    └── app-YYYY-MM-DD.log  # Daily log files

Windows stores the equivalent files under the Electron application-data directory for the current user.

Security

The application database, settings, and logs stay on your machine. Recording, transcription, and AI inputs are sent to VideoDB when those features are used. If you enable Google Calendar, remote MCP servers, or workflow webhooks, the relevant data is also sent to the services you configure.

Upgrades migrate existing data in place on first launch; you do not need to log in again. Report security vulnerabilities privately to [email protected], not through a public issue.

Community & Support


Made with ❤️ by the VideoDB team


call.md (video-db/call.md)

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1.6K ·GitHub
What is this?Call.md turns meetings into live agent loops: it records, transcribes, and analyzes calls in real time, giving you live AI assistance during the call and AI-generated summaries with action items afterward.
Is this a cloud service or something I install on my computer?It's an Electron desktop app for macOS, Windows, and Linux that keeps your meeting history and transcripts in a local SQLite database, while sending recordings to VideoDB for transcription and AI features.
How do I install and start using it?On macOS run the Quick Install command, launch Call.md from Applications or Spotlight, grant microphone/screen-recording permissions, then register with a VideoDB API key before clicking New Meeting to start recording.
Do I need a VideoDB API key to use it?Yes — transcription, live assist, and summaries run through VideoDB, so you need a free VideoDB API key from console.videodb.io, plus microphone and screen-recording permissions granted on your OS.
Does recording work the same on every platform?No — full recording only works on macOS (Apple Silicon/Intel) and Windows x64 built from source. On Windows ARM64 and Linux you get the UI, MCP servers, workflows, and history/export, but the app refuses to start a recording because no capture binary exists for those platforms.
Where does my meeting data go?Settings, meeting history, transcripts, and generated metadata stay in a local SQLite database on your machine; audio, transcription, and AI inputs are sent to VideoDB when those features are used, and to Google Calendar, MCP servers, or webhooks only if you connect them.
What happens when a recording hits the 2-hour cap?Recordings stop automatically after 2 hours of active recording time (pauses and system sleep don't count), with a warning 5 minutes before, and the session is saved and summarized exactly as if you'd pressed Stop yourself.
How does the MCP integration work during a call?An MCP agent listens to the conversation, detects information needs, automatically calls connected MCP tools over stdio or HTTP, and shows the results inline in a Results panel during the meeting.
What do I get after a meeting ends?Call.md generates a three-part summary (narrative overview, key points by topic, and action items), exports everything to markdown, and can push the data to workflow tools like n8n, Zapier, or your CRM.
Creator
video-db
Size
4.1 MB
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Updated
CommitAug 19
Age
7mo
Commits · 90 Days