What is Memory and what does it do?

Memory is a high-performance C++ server engineered for real-time scanning and analysis of Windows process memory. It allows users to find specific values (strings, integers, doubles) and analyze memory contents.

Who is Memory designed for?

Memory is primarily designed for AI assistants (via its Model Context Protocol integration) and developers who require low-latency, direct access to Windows process memory for advanced scanning, filtering, and analysis tasks.

How can I access Memory's functionalities?

Memory offers two main access methods: a native Model Context Protocol (MCP) server for seamless integration with AI tools, and an alternative HTTP API for broader external integrations and RESTful access.

What kind of memory operations does Memory support?

Memory supports real-time scanning for various value types, filtering memory addresses based on value changes, automatic process discovery, and management of found addresses. It's optimized for speed and minimal overhead.

Are there any specific prerequisites for using Memory?

To install and use Memory, you will need a Windows PC, CMake 3.16+, and administrator privileges to allow the tool to access process memory effectively.

Memory

Name: Memory
Author: kkkeeetttx

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Provides a high-performance C++ server for real-time memory scanning and analysis of Windows processes, accessible via Model Context Protocol or HTTP.

Memory

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Provides a high-performance C++ server for real-time memory scanning and analysis of Windows processes, accessible via Model Context Protocol or HTTP.

Memory offers a high-performance C++ server designed for real-time memory scanning and analysis of Windows processes. It provides direct access to process memory through the Model Context Protocol (MCP), enabling AI assistants to efficiently scan, filter, and analyze memory contents. Optimized for Windows with low-latency operations and minimal resource overhead, it also offers an alternative HTTP interface for broader external integrations, making it versatile for various memory-related tasks.

Key Features

01Real-time Memory Scanning for values (strings, integers, doubles)

02Address Filtering based on value changes

03Automatic Process Discovery and Memory Access

04Native Model Context Protocol (MCP) server implementation

05Alternative HTTP API for external integrations

060 GitHub stars

Use Cases

01Enabling AI assistants to scan and analyze process memory in real-time

02Automated filtering of memory addresses based on changing values

03Integrating process memory analysis into external systems via HTTP

Memory

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Memory

Key Features

Use Cases

Neon

Figma Context

Magic

Diagram Maker & Visualizer

GH Issues Auto-Fixer

Discord Integration

Key Features

Use Cases