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Dayglass: Private Meeting & Screen Memory for Mac

Dayglass: Private Meeting & Screen Memory for Mac

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dayglass.ioMemory & Knowledge0Updated today

About Dayglass: Private Meeting & Screen Memory for Mac

Dayglass is a macOS app for on-device screen and meeting memory, with local OCR and SQLite search. Its listed capabilities include call recording, live transcript access for agents, and a one-click MCP server.

Key features

  1. 01On-device OCR and SQLite search
  2. 02Dual-source call recording
  3. 03Live meeting transcript tool
  4. 04Focus sessions to SKILL.md
  5. 05One-click MCP server

Use cases

  1. 01Search local screen and meeting history
  2. 02Record microphone and headphone audio during calls
  3. 03Let agents read a live meeting transcript
  4. 04Turn focused work sessions into agent skills

MCP support

Provides a one-click MCP server for clients including Claude Desktop, Claude Code, Cursor, Poolside, and Oh-My-Pi. The `dayglass_get_live_meeting` tool exposes speaker-tagged transcripts during calls.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://dayglass.io/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Dayglass v2.1.0 for macOS

Your Mac's Screen & Meeting Memory — 100% On-Device. Zero Cloud Bots.

Dayglass v2.1 Studio Live


Pricing

TierPriceWhat is includedCheckout
Dayglass Community (Free Trial)$0 installLocal Apple Vision OCR and SQLite search, plus 3 free AI preview turns. After that, the AI routes stay closed until a license is already on the Mac.Download Free .DMG
AI Agent Cost & Memory Playbook$9.99 one-timeArchitecture guide and local SQLite/MCP setupGumroad ($9.99) →
Dayglass Pro Monthly$19 / monthUnlimited AirPods call recording, local history, and Claude/Cursor MCP on your Mac.Gumroad ($19/mo) →
Dayglass Ultra$249 / monthThe Mac app plus managed cloud AI. The $19 plan is the Mac app and on-device memory.Gumroad Ultra ($249/mo) →

This repository distributes the signed macOS .dmg, the Homebrew cask, and these docs. The app source stays private. A Gumroad payment does not write a license onto the Mac by itself.


Install in 10 Seconds

Option 1: 1-Line Terminal Installer (Recommended — clears Gatekeeper quarantine automatically)
curl -fsSL https://igorganapolsky.github.io/dayglass-mac/install.sh | bash
Option 2: Homebrew Cask
brew install --cask igorganapolsky/dayglass/dayglass
Option 3: Direct .dmg Download
  1. Download Dayglass.dmg
  2. Drag Dayglass.app into /Applications
  3. If macOS Gatekeeper prompts on first launch, run:
    xattr -dr com.apple.quarantine /Applications/Dayglass.app
    

What's Inside Dayglass v2.1

  • 384,000-Token SubQ Snap 3-Way Hybrid GraphRAG (BM25 + 256d Dense Semantic + 2-Hop Episode Graph in local SQLite)
  • Bot-Free Dual-Source Call Recording via macOS ScreenCaptureKit (records both your Mic and AirPods/Headphones without joining Zoom/Teams/Meet as a bot)
  • On-Device AI Companion 3.0 & OpenUI Generative UI Cards (answers "is what they're pitching useful?" in real time during calls)
  • Vitalik Buterin 4-Layer Paranoid Mode (local reversible PII prompt rewriter, per-session circuit isolation, 4KB cover traffic padding, and SHA-256 zkAPI blind proofs)
  • Starred Focus Sessions (Cmd+Ctrl+B) -> compiles 15-minute work windows into reusable SKILL.md agent skills
  • 1-Click MCP Server for Claude Desktop, Claude Code, Cursor, Poolside, and Oh-My-Pi
  • Live meeting for other agents: while a Zoom, Teams, or Meet call is in progress, Claude, Cursor, and the other agents on your Mac read the speaker-tagged transcript through the local tool dayglass_get_live_meeting. The audio stays in ~/.dayglass.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.