pigrieco/mcp-memory-server

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本页由 AI 翻译，技术细节请以原文为准。查看原文

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Repository Install

pigrieco/mcp-memory-server 是从 https://github.com/pigrieco/mcp-memory-server. 导入的 MCP 服务器候选

概览

pigrieco/mcp-memory-server 是从 https://github.com/pigrieco/mcp-memory-server. 导入的 MCP 服务器候选

概述（AI 翻译）

智能AI内存管理，支持机器学习自动触发

📋 目录

🎯 什么是SAM？
🏗️ 架构概述
🚀 安装

💬 基于提示的安装
📊 安装流程
🎯 平台特定命令

🚀 服务器模式与操作

📊 服务器运行流程
🎯 服务器模式比较
🐕 看门狗服务
🚀 快速启动命令

⚙️ SAM的工作原理

🧠 技术概述
🎯 用户福利
💼 使用场景

🤖 自动触发系统

🧪 机器学习模型的工作原理
📊 训练数据集
🎯 训练成果
🔧 混合系统
✨ 系统检测情况

🔧 配置示例

📁 ~/.游标/mcp_settings.json
📚 参数解释

📊 模型信息
🔧 技术文档

📁 项目结构
🚀 发展指挥部
🔍 故障排除
🧪 测试
🔧 高级配置
📈 性能调校
🔒 安全考量
🚀 生产部署

📝 许可证

🎯 什么是SAM？

SAM（智能存取存储器） 是一个面向人工智能平台的智能记忆系统，能够自动知道何时保存和检索信息。

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

🧠 SAM - Smart Access Memory

Intelligent AI Memory Management with ML Auto-Triggers

📋 Table of Contents

🎯 What is SAM?
🏗️ Architecture Overview
🚀 Installation
🚀 Server Modes & Operation
⚙️ How SAM Works
🤖 Auto-Trigger System
🔧 Configuration Example
- 📁 ~/.cursor/mcp_settings.json
- 📚 Parameter Explanation
📊 Model Information
🔧 Technical Documentation
📝 License

🎯 What is SAM?

SAM (Smart Access Memory) is an intelligent memory system for AI platforms that automatically knows when to save and retrieve information. Using machine learning model created for it with 99.56% accuracy, SAM analyzes conversations in real-time and intelligently manages memory without user intervention.

✨ Key Benefits:

🧠 Automatic Memory Management: No manual commands - SAM decides when to save/search
🎯 Context-Aware: Understands conversation flow and retrieves relevant information

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "mcp-memory-sam": {
      "command": "/path/to/mcp-memory-server/venv/bin/python",
      "args": ["/path/to/mcp-memory-server/main.py"],
      "env": {
        "ML_MODEL_TYPE": "huggingface",
        "HUGGINGFACE_MODEL_NAME": "PiGrieco/mcp-memory-auto-trigger-model",
        "AUTO_TRIGGER_ENABLED": "true",
        "PRELOAD_ML_MODEL": "true",
        "CURSOR_MODE": "true",
        "LOG_LEVEL": "INFO",
        "ENVIRONMENT": "development",
        "SERVER_MODE": "universal",
        "ML_CONFIDENCE_THRESHOLD": "0.7",
        "TRIGGER_THRESHOLD": "0.15",
        "SIMILARITY_THRESHOLD": "0.3",
        "MEMORY_THRESHOLD": "0.7",
        "SEMANTIC_THRESHOLD": "0.8",
        "ML_TRIGGER_MODE": "hybrid",
        "ML_TRAINING_ENABLED": "true",
        "ML_RETRAIN_INTERVAL": "50",
        "FEATURE_EXTRACTION_TIMEOUT": "5.0",
        "MAX_CONVERSATION_HISTORY": "10",
        "USER_BEHAVIOR_TRACKING": "true",
        "BEHAVIOR_HISTORY_LIMIT": "1000",
        "EMBEDDING_PROVIDER": "sentence_transformers",
        "EMBEDDING_MODEL": "all-MiniLM-L6-v2",
        "MONGODB_URI": "mongodb://localhost:27017",
        "MONGODB_DATABASE": "mcp_memory_dev"
      }
    }
  }
}