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.
@Big0290
基本情報
🧠 Deep Project Analysis: Memory Context Manager v2
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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.
Clone the repository, run `yarn install`, then `yarn rw dev`, and open `http://localhost:8910` in your browser.
Node.js 18+, Yarn package manager, and a running instance of the Memory Context Manager v2 MCP server.
The README does not specify data storage details; it only describes real-time monitoring and RESTful communication with the MCP server.
The UI communicates with the MCP server via RESTful API endpoints, as stated in the architecture section.
The README does not mention authentication; it only describes a dashboard interface without user management features.

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