OpenMemory MCP
OpenMemory MCP is a private, local-first memory layer that enables AI tools to store, manage and share contextual memories across different platforms while keeping all data securely on your local system.
https://mem0.ai/openmemory-mcp?ref=aipure
Product Information
Updated:May 16, 2025
OpenMemory MCP Monthly Traffic Trends
OpenMemory MCP saw a 10.9% increase in visits to 111,570. This growth likely reflects the integration of Mem0 with Redis, enhancing AI agent memory management and providing a powerful solution for managing AI agent memory with fast performance and scalability.
What is OpenMemory MCP
OpenMemory MCP is an innovative solution that creates a unified memory layer for AI applications, built on top of the Mem0 framework and following the Model Context Protocol (MCP) standard. It acts as a bridge between different AI tools like Claude, Cursor, and Windsurf, allowing them to maintain consistent context and memory across sessions. Unlike cloud-based memory solutions, OpenMemory MCP operates entirely locally, giving users complete control over their data while enabling sophisticated memory management features like topic organization, emotional context tracking, and temporal memory storage.
Key Features of OpenMemory MCP
OpenMemory MCP is a private, local-first memory layer that enables persistent context across AI tools like Claude, Cursor, and Windsurf. It allows users to store, organize, and manage memories with topics, emotions, and timestamps while keeping all data locally on their device. The system provides transparency, permission controls, and portability across different AI applications while ensuring data privacy and security.
Local-First Storage: All memories are stored locally on the user's device with no cloud sync, ensuring complete data privacy and control
Cross-Tool Memory Sharing: Enables seamless context sharing between different MCP-compatible AI tools while maintaining consistency across applications
Permission-Based Access Control: Granular control over which MCP clients can access memories, with built-in audit capabilities to track memory access
Structured Memory Management: Organizes memories with metadata, topics, emotions, and timestamps for easy search and retrieval
Use Cases of OpenMemory MCP
Software Development Workflow: Maintain context across different development tools, track debugging steps, and share project knowledge between different AI assistants
Technical Documentation: Store and retrieve API usage notes, code snippets, and feature documentation across different development environments
Project Management: Track feature requests, meeting insights, and project context handoffs between team members and tools
Pros
Complete privacy with local-first approach
Seamless integration across multiple AI tools
Full control over memory access and retention
Cons
Requires local setup and maintenance
Limited to MCP-compatible tools only
Currently in early development stage with some features marked as upcoming
How to Use OpenMemory MCP
Step 1: Set up development environment: Ensure you have Docker installed on your machine as OpenMemory MCP runs in containers
Step 2: Clone the repository: Run 'git clone https://github.com/mem0ai/mem0.git' and 'cd mem0/openmemory'
Step 3: Configure environment: Create backend .env file with your OpenAI API key by running 'make env'
Step 4: Build Docker images: Run 'make build' to build all required Docker images for the services
Step 5: Start the services: Run 'make up' to start all services (API server, vector database, and MCP server components)
Step 6: Install MCP client: Run 'npx install-mcp i "http://localhost:8765/mcp/cursor/sse/username" --client cursor' to connect MCP clients
Step 7: Access dashboard: Open http://localhost:3000 in your browser to access the OpenMemory dashboard where you can view and manage memories
Step 8: Connect MCP-compatible tools: Configure tools like Claude, Cursor, or Windsurf to connect to your local OpenMemory MCP server
Step 9: Start using memories: Begin adding memories through connected tools - they will be stored locally and accessible across all your MCP-compatible applications
Step 10: Manage memories: Use the dashboard to audit memory access, control permissions, and manage stored memories across your tools
OpenMemory MCP FAQs
OpenMemory MCP is a local app powered by Mem0 that provides a private, local memory layer for AI applications. It allows you to store, organize, and manage memories with topics, emotions, and timestamps while keeping all data locally on your device.
OpenMemory MCP Video
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Analytics of OpenMemory MCP Website
OpenMemory MCP Traffic & Rankings
111.6K
Monthly Visits
#233040
Global Rank
#2441
Category Rank
Traffic Trends: Feb 2025-Apr 2025
OpenMemory MCP User Insights
00:04:14
Avg. Visit Duration
5.72
Pages Per Visit
39.59%
User Bounce Rate
Top Regions of OpenMemory MCP
US: 39.73%
IN: 15.2%
CN: 7.02%
KR: 3.37%
TH: 3.35%
Others: 31.33%
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