How to Install Memory MCP Server in OpenAI Agents SDK
Persistent memory for AI agents using a local knowledge graph — remember facts across sessions
What Memory MCP Server does
Give your AI agent a persistent memory that survives across conversations. The Memory MCP server stores entities, relationships, and observations in a local knowledge graph that Claude can read and update. Features: - Store named entities (people, projects, concepts) with properties - Create relationships between entities - Add observations and notes to existing entities - Query the knowledge graph with natural language - Persistent storage — memory survives session restarts - Delete outdated or incorrect memories - Local storage — your data never leaves your machine Real-world use cases: - "Remember that our production database is on AWS us-east-1" - "Note that Alice is the lead on the payments project" - "Store my API keys and configurations" - Remember user preferences across sessions in AI applications This is one of the most-requested MCP capabilities and the official implementation is the most trusted option in the ecosystem.
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@modelcontextprotocol/server-memory"],
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Memory MCP Server, add this badge to your README to show it's verified on CuratedMCP:
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