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:Jun 16, 2025
OpenMemory MCP Monthly Traffic Trends
OpenMemory MCP achieved 254.8K visits with a 128.4% growth in July. The introduction of Mem0’s scalable memory architecture, which dynamically captures, organizes, and retrieves relevant information from ongoing conversations, likely contributed to this significant increase. Additionally, the cost reduction capability of up to 80% and the enhanced personalization features have attracted more users and developers.
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
Popular Articles
How to Make Viral AI ASMR Videos in 5 Minutes (No Mic, No Camera Needed) | 2025
Jun 23, 2025
How to Make a Viral Bigfoot Vlog Video with AI: Step-by-Step Guide for 2025
Jun 23, 2025
SweetAI Chat VS JuicyChat AI: Why SweetAI Chat Wins in 2025
Jun 18, 2025
Gentube Review 2025: Fast, Free, and Beginner-Friendly AI Image Generator
Jun 16, 2025
Analytics of OpenMemory MCP Website
OpenMemory MCP Traffic & Rankings
254.8K
Monthly Visits
#132245
Global Rank
#1633
Category Rank
Traffic Trends: Mar 2025-May 2025
OpenMemory MCP User Insights
00:04:15
Avg. Visit Duration
5.42
Pages Per Visit
38.52%
User Bounce Rate
Top Regions of OpenMemory MCP
US: 37%
CN: 17.66%
IN: 7.57%
VN: 7.15%
KR: 2.89%
Others: 27.73%
Latest AI Tools Similar to OpenMemory MCP
invoices.dev
invoices.dev is an automated invoicing platform that generates invoices directly from developers' Git commits, with integration capabilities for GitHub, Slack, Linear, and Google services.
Monyble
Monyble is a no-code AI platform that enables users to launch AI tools and projects within 60 seconds without requiring technical expertise.
Devozy.ai
Devozy.ai is an AI-powered developer self-service platform that combines Agile project management, DevSecOps, multi-cloud infrastructure management, and IT service management into a unified solution for accelerating software delivery.
Mediatr
MediatR is a popular open-source .NET library that implements the Mediator pattern to provide simple and flexible request/response handling, command processing, and event notifications while promoting loose coupling between application components.
Popular AI Tools Like OpenMemory MCP
GitHub Copilot Chat
GitHub Copilot Chat is an AI-powered coding assistant that provides natural language interactions, real-time code suggestions, and contextual support directly within supported IDEs and GitHub.com.
Rememberall
Rememberall is a secure, open-source long-term memory solution that enables AI applications and GPT models to maintain persistent memory across conversations through semantic search and vector storage capabilities.
Upsonic
Upsonic is a reliability-focused AI agent framework with dockerized server-client architecture that enables trusted agent workflows through advanced features like verification layers, triangular architecture, and Model Context Protocol (MCP) integration.
GitHub MCP Server
GitHub MCP Server is a Model Context Protocol server that enables seamless integration between AI models and GitHub APIs, providing standardized tools for repository management, issue tracking, and code operations.