mcp memory service

Built by doobidoo • 1,558 stars

What is mcp memory service?

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

How to use mcp memory service?

1. Install a compatible MCP client (like Claude Desktop). 2. Open your configuration settings. 3. Add mcp memory service using the following command: npx @modelcontextprotocol/mcp-memory-service 4. Restart the client and verify the new tools are active.

🛡️ Scoped (Restricted)

npx @modelcontextprotocol/mcp-memory-service --scope restricted

🔓 Unrestricted Access

npx @modelcontextprotocol/mcp-memory-service

Key Features

Native MCP Protocol Support

Real-time Tool Activation & Execution

Verified High-performance Implementation

Secure Resource & Context Handling

Optimized Use Cases

Extending AI models with custom local capabilities

Automating system workflows via natural language

Connecting external data sources to LLM context windows

mcp memory service FAQ

Is mcp memory service safe?

Yes, mcp memory service follows the standardized Model Context Protocol security patterns and only executes tools with explicit user-granted permissions.

Is mcp memory service up to date?

mcp memory service is currently active in the registry with 1,558 stars on GitHub, indicating its reliability and community support.

Are there any limits for mcp memory service?

Usage limits depend on the specific implementation of the MCP server and your system resources. Refer to the official documentation below for technical details.

Global Ranking

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Based on codebase health & activity.

Manual Config

{ "mcpServers": { "mcp-memory-service": { "command": "npx", "args": ["mcp-memory-service"] } } }