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Cursor10x MCP
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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 SystemCombines short-term, long-term, episodic, and semantic memory for comprehensive context awareness.
Semantic Code SearchFinds related code and content based on meaning rather than exact text matches.
Automatic Code IndexingDetects and indexes code structures (functions, classes, variables) across multiple languages.
Vector EmbeddingsCreates numerical representations of text and code for similarity-based retrieval.
Unified Tool InterfaceSimplified tools like initConversation and endConversation combine multiple operations.
Turso Database IntegrationPersistent storage with efficient vector operations using Turso's SQLite-based platform.
Pros and Cons
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 DatabaseCreate a free Turso database account and install the CLI tool.
Configure Database ConnectionUpdate the MCP configuration file with your Turso credentials.
Initialize ConversationStart each development session by initializing the memory system.
Track Important ItemsUse the appropriate tools to store decisions, milestones, and requirements.
End Session ProperlyConclude your work session by recording what was accomplished.
Usage Scenarios
Starting a New FeatureWhen beginning work on a new feature, initialize the conversation with the feature requirements to get relevant context.
Making Architecture DecisionsWhen deciding between technical approaches, record the decision for future reference.
Finding Related CodeSearch for semantically similar code when implementing new functionality.
Frequently Asked Questions
1
How is this different from regular chat history?The memory system organizes information into specialized subsystems with different retention policies and retrieval methods, going beyond simple chronological chat history.
2
What happens when the database gets too large?The system automatically archives older, less important items while preserving critical information based on importance levels.
3
Can I use a different database than Turso?Currently Turso is required as it provides the vector operations needed for semantic search capabilities.
4
How accurate is the semantic search?Accuracy depends on the quality of embeddings, but typically finds conceptually related code even without exact text matches.
5
Is my code stored securely?All data remains in your Turso database which you control, with no external sharing of your code or conversations.
Additional Resources
Cursor10x Platform GitHubComplete project repository with full documentation
Turso DocumentationOfficial documentation for the Turso database
Model Context ProtocolTechnical details about the MCP standard
Getting Started VideoStep-by-step setup tutorial
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