Mem0 General

Name: Mem0 General
Author: ryaker

@ryaker

关于 Mem0 General

OpenAI just added memory across your chats across your openAI account. But wouldn't it be awesome to have general AI memory across all your interactions with any and all AI tools, IDEs, chatbots.... Now if it supports MCP you can with https://mem0.ai/ Give Claude desktop memory.

#mem0 #memory #mcp #python

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

ryaker

提交者

Richard Yaker

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mem0-memory-general": {
      "command": "<PATH TO SERVER>/mcp-mem0-server",
      "args": [],
      "env": {
        "MEM0_API_KEY": "<YOUR MEM0 KEY>"
      }
    }
  }
}

工具

未检测到工具

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 Mem0 General?

Mem0 General is a Model Context Protocol (MCP) server that bridges AI assistants with Mem0.ai’s persistent memory system. It enables compatible AI models to store, retrieve, search, and manage memories across short-term and long-term types, including knowledge graphs.

How to use Mem0 General?

Install the package with pip install mcp-mem0-server, then add a configuration entry to your MCP config file (e.g., ~/.cursor/mcp.json) that sets the MEM0_API_KEY environment variable and runs the command mcp-mem0-server. After restarting the client application (Cursor or Claude Desktop), the server tools are available.

Key features of Mem0 General

Modular architecture for maintainability and extensibility
Short-term memories: conversation, working, attention
Long-term memories: episodic, semantic, procedural
Semantic similarity search across stored memories
Custom memory categories and processing instructions
Selective memory filtering with include/exclude patterns

Use cases of Mem0 General

Give an AI assistant persistent recall of user preferences and past interactions
Build a knowledge graph from user-provided facts and relationships
Maintain conversational context across multiple sessions using short-term memory
Apply selective memory patterns to store only relevant information
Provide feedback to improve memory quality over time

FAQ from Mem0 General

How do I install and configure the Mem0 General server?

Run pip install mcp-mem0-server. Then add a configuration entry in your MCP config file (e.g., ~/.cursor/mcp.json) that uses "command": "mcp-mem0-server" and includes the environment variable MEM0_API_KEY set to your Mem0 API key.

What memory types are supported?

Short-term memories: conversation memory, working memory, and attention memory. Long-term memories: episodic memory, semantic memory, and procedural memory.

What is the default user ID?

All memories in the system use "default_user" as the default user_id unless overridden.

What advanced features are available?

Custom memory categories, memory processing instructions, knowledge graph relations between entities, selective memory filtering, and a feedback mechanism for memory quality.

Where does the memory data live?

Memories are stored and managed by Mem0.ai’s cloud memory system; the server acts as a client to that API using your Mem0 API key.

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