Memorylane

Communauté Recherche et web

Desktop app that captures screen activity, stores AI summaries and OCR text locally, and exposes the history via semantic search and a timeline.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. MemoryLane
  2. App Download
  3. What is MemoryLane?
  4. Use your own models
  5. Privacy & Permissions
  6. CLI
  7. Community

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

See Privacy & Permissions.

CLI

Install the CLI from npm: @deusxmachina-dev/memorylane-cli

Community

Questions, feedback, and feature ideas are welcome in our Discord server.

Join the MemoryLane Discord

Questions fréquentes

Qu'est-ce que Memorylane ?

Desktop app that captures screen activity, stores AI summaries and OCR text locally, and exposes the history via semantic search and a timeline.

Comment installer Memorylane ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Memorylane est-il open source ?

Oui. Son code est sur GitHub sous licence GPL-3.0.

Qui maintient Memorylane ?

Il est publié par deusXmachina-dev. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.