Cursor10x MCP
C

Cursor10x MCP

Cursor10x is an AI - powered development memory system that provides persistent context memory capabilities for the Cursor editor. It integrates four memory types: short - term, long - term, episodic, and semantic, to achieve intelligent code assistance.
2.5 points
8.8K

What is Cursor10x Memory System?

The Cursor10x Memory System creates a persistent memory layer for AI assistants, enabling them to retain and recall project context across multiple sessions. It combines short - term, long - term, episodic, and semantic memory to provide comprehensive context awareness during development.

How to use Cursor10x Memory System?

The system works automatically once configured, tracking your conversations, files, and decisions. Developers interact with it through simple tool calls to store and retrieve information as needed during development sessions.

Use Cases

Ideal for complex development projects where maintaining context is crucial, team collaborations where decisions need tracking, and projects requiring semantic search across codebases and conversations.

Key Features

Multi - Type Memory System
Combines short - term, long - term, episodic, and semantic memory for comprehensive context awareness.
Semantic Code Search
Finds related code and content based on meaning rather than exact text matches.
Automatic Code Indexing
Detects and indexes code structures (functions, classes, variables) across multiple languages.
Vector Embeddings
Creates numerical representations of text and code for similarity - based retrieval.
Unified Tool Interface
Simplified tools like initConversation and endConversation combine multiple operations.
Turso Database Integration
Persistent storage with efficient vector operations using Turso's SQLite - based platform.
Advantages
Maintains complete project context across sessions
Reduces repetitive explanations by remembering project details
Enables semantic search across conversations and code
Tracks technical decisions and milestones automatically
Lightweight implementation with Turso database
Limitations
Requires initial setup and configuration
Vector operations require sufficient memory resources
Semantic search accuracy depends on embedding quality
Needs periodic maintenance for optimal performance

Getting Started

Set up Turso Database
Create a free Turso database account and install the CLI tool.
Configure Database Connection
Update the MCP configuration file with your Turso credentials.
Initialize Conversation
Start each development session by initializing the memory system.
Track Important Items
Use the appropriate tools to store decisions, milestones, and requirements.
End Session Properly
Conclude your work session by recording what was accomplished.

Usage Scenarios

Starting a New Feature
When beginning work on a new feature, initialize the conversation with the feature requirements to get relevant context.
Making Architecture Decisions
When deciding between technical approaches, record the decision for future reference.
Finding Related Code
Search for semantically similar code when implementing new functionality.

Frequently Asked Questions

How is this different from regular chat history?
What happens when the database gets too large?
Can I use a different database than Turso?
How accurate is the semantic search?
Is my code stored securely?

Additional Resources

Cursor10x Platform GitHub
Complete project repository with full documentation
Turso Documentation
Official documentation for the Turso database
Model Context Protocol
Technical details about the MCP standard
Getting Started Video
Step - by - step setup tutorial

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "cursor10x-mcp": {
      "command": "npx",
      "args": ["cursor10x-mcp"],
      "enabled": true,
      "env": {
        "TURSO_DATABASE_URL": "your-turso-database-url",
        "TURSO_AUTH_TOKEN": "your-turso-auth-token"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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