Screen Memory
FreeNot checkedEnables Claude to remember and search everything that appeared on your screen using local OCR and embeddings. Provides tools for semantic search, activity timel
About
Enables Claude to remember and search everything that appeared on your screen using local OCR and embeddings. Provides tools for semantic search, activity timeline, and code change tracking.
README
Give Claude a perfect memory of everything that's ever been on your screen.
"What was I researching on ChatGPT an hour ago?" "What code did I write this morning?" "Walk me through what I did in the last 30 minutes."
Just ask Claude. It remembers.
How it works
Every N seconds:
📸 Screenshot → 🔤 Windows OCR → 🧬 Embed → 💾 SQLite
(built-in, accurate, (local model, (text only,
no hallucination) no API calls) ~5KB/capture)
100% local. No images stored. No cloud. No API costs.
Features
- Semantic search — "find when I was reading about X" across your entire screen history
- Activity timeline — connected narrative of what you did and why, not just isolated snapshots
- Code tracking — detects VS Code / PyCharm, tracks which files you edited, computes diffs between captures
- App awareness — knows if you were in a browser, editor, or terminal and tags captures accordingly
- Tiny footprint — text + embeddings only, ~5KB per capture, ~30MB/day at 10s interval
Requirements
- Windows 10 / 11
- Python 3.11+
- No Tesseract. No cloud APIs. No external accounts.
Installation
git clone https://github.com/YOUR_USERNAME/screen-memory-mcp
cd screen-memory-mcp
pip install -r requirements.txt
Usage
1. Start the capture daemon
python -m screen_memory.capture --interval 10
| Interval | Storage/day | Recommended for |
|---|---|---|
| 5s | ~90MB | Maximum detail |
| 10s | ~45MB | Daily use ✓ |
| 30s | ~15MB | Light use |
2. Connect to Claude Desktop
Edit %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"screen-memory": {
"command": "C:\\Python314\\python.exe",
"args": ["-m", "screen_memory.server"],
"cwd": "C:\\path\\to\\screen-memory-mcp",
"env": {
"PYTHONPATH": "C:\\path\\to\\screen-memory-mcp"
}
}
}
}
Restart Claude Desktop. The screen-memory tools will appear automatically.
3. Ask Claude anything
"What was I doing 20 minutes ago?"
"Summarize my activity for the last hour"
"What code did I write today in VS Code?"
"Find when I was reading about async Python"
"How did server.py change during my coding session?"
MCP Tools
| Tool | Description |
|---|---|
search_screen_memory |
Semantic search across all captures |
get_activity_timeline |
Chronological narrative of a time range |
get_code_changes |
Code diffs per file for a coding session |
get_recent_captures |
Latest N captures |
get_capture |
Full text of a specific capture by ID |
get_stats |
DB size, capture count, date range |
Auto-start on login (Windows)
Run once in an elevated terminal:
schtasks /create /tn "ScreenMemoryCapture" /tr "C:\path\to\start_capture.bat" /sc onlogon /ru YOUR_USERNAME /f
Storage
All data lives in ~/.screen_memory/memory.db — a single SQLite file.
To wipe everything: just delete it.
Privacy
- ✅ Fully offline after install
- ✅ No screenshots saved to disk
- ✅ All text stays on your machine
- ✅ Open source — every line auditable
- ✅ Delete anytime:
rm -rf ~/.screen_memory
Roadmap
- macOS / Linux support
- Auto-cleanup (configurable retention period)
- System tray app (start/stop without terminal)
- Screenshot viewer (opt-in)
- Multi-monitor support
License
MIT
Installing Screen Memory
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/yonglim2392/screen-memory-mcpFAQ
Is Screen Memory MCP free?
Yes, Screen Memory MCP is free — one-click install via Unyly at no cost.
Does Screen Memory need an API key?
No, Screen Memory runs without API keys or environment variables.
Is Screen Memory hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Screen Memory in Claude Desktop, Claude Code or Cursor?
Open Screen Memory on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
GitHub
PRs, issues, code search, CI status
by GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
by mcpdotdirectCompare Screen Memory with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All development MCPs
