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  • MemCP
    MemCP is a high-performance, in-memory, column-oriented database designed for modern workloads It provides a lightweight, developer-friendly alternative to traditional relational databases such as MySQL, with a focus on speed, compression, and direct API integration
  • Deployment - MemCP
    There are two deployment methods: To run memcp, just follow these commands: If you want to update memcp, just run: If you want a minimal installation without source code, just copy the executable memcp as well as the lib folder as well as assets
  • std:: memcpy - cppreference. com
    std::memcpy is meant to be the fastest library routine for memory-to-memory copy It is usually more efficient than std::strcpy, which must scan the data it copies or std::memmove, which must take precautions to handle overlapping inputs
  • Current Status and Open Issues - MemCP
    Storage Engine Allow ALTER TABLE ENGINE = Garbage Collection with an LRU policy on temporary columns Triggers and change hooks on computed columns Respect Foreign Keys Serialize and Deserialize into MMapped big files (these bigfiles must be organized as key-value stores) iterateIndex: sort delta storage and merge it with main, so that correct order is always guaranteed merge join: (scan
  • GitHub - launix-de memcp: A columnar In-Memory Database as Drop-In . . .
    MemCP is a MySQL-compatible database that keeps your data fully in main memory for maximum speed Your data is safe — it's persisted to disk automatically and survives restarts — but because there's no disk I O on the query path, reads and aggregations run 10–100× faster than MySQL
  • memcp · PyPI
    memcp is a Model Context Protocol (MCP) server that provides persistent memory capabilities for AI assistants like Claude It enables storing and retrieving information across conversations using a local SQLite database
  • MeMCP | Persistent Memory System for LLMs AI Knowledge
    MeMCP (Memory-Enhanced Model Context Protocol) is a sophisticated memory management system designed to give LLMs persistent, searchable memory capabilities
  • meMCP - Memory-Enhanced Model Context Protocol - GitHub
    Overview meMCP (Memory-Enhanced Model Context Protocol) is a sophisticated memory management system designed to give LLMs persistent, searchable memory capabilities
  • memcp docs README. md at main · evanmschultz memcp · GitHub
    MemCP Documentation This directory contains documentation for the MemCP project Below is an overview of each document:





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