Memorylane
Desktop app that captures screen activity, stores AI summaries and OCR text locally, and exposes the history via semantic search and a timeline.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
MemoryLane
App Download
What is MemoryLane?
MemoryLane is a tray app for macOS and Windows that captures your screen as you work, summarizes each capture into text through your model endpoint, then deletes the screenshot. Only the summaries, OCR text, and embeddings are kept — in a local SQLite database with full-text and vector search. From there it detects recurring workflows, surfaces automation opportunities, and makes everything queryable from any AI chat over MCP.
Capture → summarize → store locally → detect patterns → query from any AI chat via MCP
🎬 Demo
Use your own models
By default, captures are summarized through a managed OpenRouter endpoint. You can instead point MemoryLane at your own LLM — a local model via Ollama, vLLM, or LM Studio, or your own OpenRouter account — all from Settings, no rebuild. With a local endpoint, captures never leave your machine. See Using Your Own Models.
Privacy & Permissions
CLI
Install the CLI from npm: @deusxmachina-dev/memorylane-cli
Community
Questions, feedback, and feature ideas are welcome in our Discord server.
Frequently asked questions
What is Memorylane?
Desktop app that captures screen activity, stores AI summaries and OCR text locally, and exposes the history via semantic search and a timeline.
How do I install Memorylane?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Memorylane open source?
Yes. Its code is on GitHub under the GPL-3.0 license.
Who maintains Memorylane?
It is published by deusXmachina-dev. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.