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Memory Context Manager_v2 MCP Server

@Big0290

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

Big0290

提交者

B!G_Logical

关于 Memory Context Manager_v2 MCP Server

🧠 Deep Project Analysis: Memory Context Manager v2

#memory-context-manager#ai#cognitive-assistant

Memory Context Manager_v2 MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "memory-context-manager-v2": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "memory-context-manager-v2:latest",
        "python",
        "main.py"
      ],
      "env": {
        "MCP_LOG_LEVEL": "INFO",
        "OLLAMA_BASE_URL": "http://host.docker.internal:11434"
      }
    }
  }
}

Memory Context Manager_v2 MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Memory Context Manager_v2?

Memory Context Manager_v2 is an MCP server featuring a Continuous Self-Evolution System that enables autonomous learning, performance improvement, and intelligent adaptation. It includes an Evolution Engine for background optimization and is monitored via a dedicated web UI built with RedwoodJS and Chakra UI.

How to use Memory Context Manager_v2?

To use Memory Context Manager_v2, run its MCP server instance and then access its web UI by cloning the UI repository, installing dependencies with yarn install, starting the development server with yarn rw dev, and navigating to http://localhost:8910. The UI provides real-time monitoring, evolution tracking, and system control.

Key features of Memory Context Manager_v2

  • Continuous Self-Evolution System for autonomous improvement
  • Real-time system health monitoring with progress bars
  • Evolution Engine with scheduled tasks and learning sources
  • Dashboard with quick actions and activity feed
  • RESTful API endpoints for backend communication

Use cases of Memory Context Manager_v2

  • Monitoring autonomous AI system health and performance
  • Tracking continuous self-improvement and learning progress
  • Managing scheduled evolution tasks and documentation ingestion

常见问题

1

How do I run the Memory Context Manager_v2 UI?

Clone the repository, run `yarn install`, then `yarn rw dev`, and open `http://localhost:8910` in your browser.

2

What are the prerequisites for using Memory Context Manager_v2?

Node.js 18+, Yarn package manager, and a running instance of the Memory Context Manager v2 MCP server.

3

Where does system data live?

The README does not specify data storage details; it only describes real-time monitoring and RESTful communication with the MCP server.

4

What transport or communication does the UI use with the server?

The UI communicates with the MCP server via RESTful API endpoints, as stated in the architecture section.

5

Does Memory Context Manager_v2 require authentication?

The README does not mention authentication; it only describes a dashboard interface without user management features.

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