Cursor10x Memory

Provides persistent memory for Cursor through vector-based semantic search and structured data storage, enabling long-term context awareness across sessions by storing conversations, code snippets, and files with automatic embeddings for similarity-based retrieval.

A memory system for Cursor that provides persistent context awareness for Claude through vector-based semantic search and structured data storage. Built by aurda012 using Turso/LibSQL as the backend, it stores conversations, code snippets, files, and other contextual information with automatically generated embeddings for similarity-based retrieval. The implementation includes unified conversation management tools that handle message storage, context retrieval, and milestone tracking in single operations, plus vector indexing with ANN search capabilities for efficient semantic matching. Designed for developers who want their AI assistant to maintain long-term memory across sessions, enabling workflows like project continuity, code pattern recognition, and contextual assistance based on previous interactions and codebase knowledge.