Memory MCP Integration

Guide for integrating memory storage capabilities with PraisonAI agents using MCP

Add Memory Tool to AI Agent

Diagram

Quick Start

Install Dependencies
Make sure you have Node.js installed, as the MCP server requires it:
bash
```
pip install praisonaiagents mcp
```
Set API Key
Set your OpenAI API key as an environment variable in your terminal:
bash
```
export OPENAI_API_KEY=your_openai_api_key_here
```

Create a file

Create a new file memory_agent.py with the following code:

python

from praisonaiagents import Agent, MCP
import os

# Get the memory file path from environment
memory_file_path = os.getenv("MEMORY_FILE_PATH", "/path/to/custom/memory.json")

# Use a single string command with Memory configuration
memory_agent = Agent(
    instructions="""You are a helpful assistant that can store and retrieve information.
    Use the available tools when relevant to manage memory operations.""",
    llm="gpt-4o-mini",
    tools=MCP("npx -y @modelcontextprotocol/server-memory",
            env={"MEMORY_FILE_PATH": memory_file_path})
)

memory_agent.start("Store this conversation in memory")

Run the Agent
Execute your script:
bash
```
python memory_agent.py
```