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mcp-neuralmemory
Hexecu January 17, 2026
16 copies 0 downloads
Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP.
Agent Definition
# 🧠 MCP-KG-Memory <div align="center">      **The Long-Term Memory Layer for AI Coding Agents** *Give your AI Assistant a brain that persists context, learns from past mistakes, and understands your project's goals.* [Quick Start](#-quick-start) • [Features](#-features) • [Installation](#-installation) • [Configuration](#-configuration) • [License](#-license) </div> --- ## 📖 Overview **MCP-KG-Memory** is a production-grade **Model Context Protocol (MCP) Server** designed to solve the "context amnesia" problem in AI coding assistants (Cursor, Windsurf, VS Code, Antigravity). Instead of starting from zero every session, this system maintains a persistent **Knowledge Graph** of your project. It acts as an active memory layer that tracks: - **🎯 Goals & Status:** What are we building? What is done? - **🛑 Constraints & Rules:** Architectural decisions, forbidden patterns. - **💡 Strategies & Outcomes:** What worked? What failed? (Automatic learning) - **❤️ User Preferences:** How do you like your code written? - **🔗 Code Relationships:** Semantic links between goals and specific files. ### 📸 Visualization *Real-time visualization of the Knowledge Graph memory structure.*  --- ## ✨ Features ### 🧠 Active Context Injection (`kg_autopilot`) Every time you start a task, the agent consults the memory. It automatically retrieves: - Active goals relevant to your current work. - Past failed attempts (to avoid repeating them) and successful strategies. - Your specific coding preferences (SOLID, Clean Arch, etc.). ### 🔍 Semantic & Graph Search Don't just grep strings. The system traverse
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