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
Basic information
🧠 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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"memory-plus": {
"command": "uvx",
"args": [
"memory-plus"
]
}
}
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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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