What prerequisites are needed to run Memory Plus?
You need a Google API key (set as `GOOGLE_API_KEY` in your environment) and the UV runtime installed (`pip install uv` or via shell scripts).
@Yuchen20
基本情報
🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who
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-plus": {
"command": "uvx",
"args": [
"memory-plus"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Memory Plus is an MCP server that provides a persistent memory system for AI assistants, allowing them to store, update, and recall information across sessions. It integrates with MCP-compatible clients like VS Code and Cursor and can be used with any LLM that supports the Google API key. It targets developers who want to give their AI agents long-term memory with features like memory graph visualization and file import.
Install Memory Plus by obtaining a Google API key, setting it as GOOGLE_API_KEY, and installing the UV runtime. Then run uvx memory-plus in your terminal, or add the command and args to your IDE's MCP configuration (e.g., VS Code settings.json). For local testing, use the MCP Inspector command npx @modelcontextprotocol/inspector fastmcp run run .\\memory_plus\\mcp.py, or run the provided agent.py chatbot template.
You need a Google API key (set as `GOOGLE_API_KEY` in your environment) and the UV runtime installed (`pip install uv` or via shell scripts).
Click the "One Click Install" badge in the README, or manually add `{ "command": "uvx", "args": ["memory-plus"] }` to your MCP servers in `settings.json`.
Yes. In Cursor, go to `file -> Preferences -> Cursor Settings -> MCP` and add the same JSON configuration as for VS Code.
Yes. Clone the repository and use `npx @modelcontextprotocol/inspector fastmcp run run .\\memory_plus\\mcp.py` with MCP Inspector, or run `uv run agent_memory.py` after setting up the `fastagent` configuration.
It is licensed under the MIT License.

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