MemDx Memory Layer for Cursor

A powerful VS Code/Cursor extension that integrates a local, private memory layer (formerly Mem0) to provide persistent AI context for your projects. MemDx helps your AI remember important decisions, code patterns, and project structure across sessions.

Features

• 🧠 Persistent Context: Store and recall project decisions, rules, and architecture.
• 🔒 100% Local & Private: Runs on your machine using Docker (Qdrant + Ollama). No data leaves your device.
• 🔍 Semantic Search: Find relevant memories using natural language.
• 🚀 Cursor Agent Integration: seamlessly works with Cursor's Agent (Composer) via MCP.
• ⚡ Zero Config Setup: Built-in Setup Wizard handles everything.
• 📝 Smart Indexing: One-click to index your README.md, .cursorrules, and project structure.

Quick Start

1. Prerequisites

• Docker Desktop installed and running.
• Node.js (v18+) (for the MCP server).

2. Installation

1. Install this extension from the Marketplace or VSIX.
2. When prompted, click "Setup Now" or run command MemDx: Quick Setup Wizard.
3. Enter a User ID (e.g., your name) and Product ID (your project name).

3. Usage

• Add Memory: Select code/text -> Right click -> MemDx: Add Memory from Selection.
• Search: Ctrl+Shift+P -> MemDx: Search Memories -> Type query (e.g., "authentication logic").
• View All: Ctrl+Shift+P -> MemDx: View All Memories.

Setup Cursor AI (MCP) Integation

To let Cursor's Agent (Composer) read/write memories automatically:

1. Press Ctrl+Shift+P and run MemDx: Copy MCP Config for Cursor.
2. Open Cursor Settings (gear icon) -> Features -> MCP.
3. Paste the config into the MCP settings editor.
4. Click Add.

Now you can type @MemDx Memory Layer in chat, or just ask the Agent:

"Save this architectural decision to memory" "What did we decide about error handling? Search memory."

Commands

Command	Description
MemDx: Quick Setup Wizard	Run first-time setup (User/Product IDs, start Docker)
MemDx: Start Service	Spin up the local memory backend (Docker)
MemDx: Add Memory	Save selected text to memory
MemDx: Search Memories	Semantic search through your saved context
MemDx: Index Project	Automatically saves README, rules, and structure to memory
MemDx: Copy MCP Config	Generates the JSON needed for Cursor integration
MemDx: View Logs	See what the backend is doing
MemDx: Reset Service	Fix DB issues by wiping local data (use if you see dimension errors)

Configuration

You can customize these in VS Code Settings:

• memdx.userId: Your unique identifier.
• memdx.productId: Project identifier (allows separating memories by project).
• memdx.autoStart: Automatically start backend on launch (default: false).

Troubleshooting

"Memories map is not a function" / Vector Dimension Error

If you switched models or versions, your database might have a dimension mismatch. Fix: Run command MemDx: Reset Service (Fix DB). This wipes the local Qdrant data and restarts cleanly.

"Model not found"

The first time you run MemDx, it downloads AI models (qwen2.5, nomic-embed-text) inside Docker. This takes a few minutes. Check status with MemDx: Check Service Status.

Service won't start

Ensure Docker Desktop is running. You can view detailed logs with MemDx: View Service Logs.

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MemDx - Your AI's Long-Term Memory. Originally based on Mem0, optimized for local developer workflows.