广告合作
MCP.so
登录

Memory Plus MCP Server

@Yuchen20

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

Yuchen20

提交者

Yuchen Mao

关于 Memory Plus MCP Server

🧠 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

#memory#rag#personalized

Memory Plus 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-plus": {
      "command": "uvx",
      "args": [
        "memory-plus"
      ]
    }
  }
}

Memory Plus 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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Memory Plus?

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.

How to use Memory Plus?

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.

Key features of Memory Plus

  • Memory recording and updating across sessions.
  • Improved prompt engineering for smarter memory retention.
  • Visualizes the memory graph for better understanding.
  • Supports importing files into the memory system.

Use cases of Memory Plus

  • Give an AI coding assistant memory of past code changes and preferences.
  • Build a personal knowledge assistant that remembers user facts and context.
  • Enable an agent to recall previous conversations without needing to repeat information.
  • Import project documentation or notes into the memory graph for the AI to reference.

常见问题

1

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).

2

How do I install Memory Plus in VS Code?

Click the "One Click Install" badge in the README, or manually add `{ "command": "uvx", "args": ["memory-plus"] }` to your MCP servers in `settings.json`.

3

Can I use Memory Plus with Cursor?

Yes. In Cursor, go to `file -> Preferences -> Cursor Settings -> MCP` and add the same JSON configuration as for VS Code.

4

Is there a way to test Memory Plus locally without an IDE?

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.

5

What license is Memory Plus under?

It is licensed under the MIT License.

评论

记忆与知识 分类下的更多 MCP 服务器

Memlord

MyrikLD

Memlord is a remote MCP server available at https://app.memlord.com.

Groundwork

Rarefied-Earth

Groundwork: company memory for your AI tools. Docs public. Source closed. Public proof needs no account.

1

Snipara

alopez3006

MCP connector for Snipara, the Project Brain for AI coding agents

1

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

PLUR

plur-ai

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference

226
广告合作