Unleash the full potential of AI: A private, local-first shared memory layer for seamless context switching across tools.
Large Language Models (LLMs), while powerful, are inherently stateless. This leads to loss of context information when switching between different tools or sessions, resulting in a fragmented experience and inefficiency. It's like your smart assistant losing its memory every time you talk to it.
OpenMemory MCP (Model Context Protocol) aims to solve this core pain point. It provides you with a private, local-first shared memory layer, allowing your AI assistant to 'remember' interaction history across tools and sessions, enabling a truly coherent, efficient, and personalized AI experience.
Imagine seamlessly switching between your code editor, AI assistant, and debugging tools, while your AI always understands what you're doing without needing repeated explanations. This is the change OpenMemory MCP brings.
All memory data is stored on your local computer, fully under your control. No cloud synchronization or external storage is required, ensuring the highest level of data privacy and security.
Seamlessly switch between MCP-compatible AI tools (like code editors, AI assistants). The AI can access relevant historical memory, providing coherent contextual support.
Context information is persistently saved across different sessions and tools, eliminating the hassle of repeatedly providing background information and improving work efficiency.
Developed and open-sourced by Mem0.ai, encouraging community participation and contributions to jointly build a smarter, more personalized AI interaction future.
By continuously learning your preferences and context, AI tools can provide more accurate and personalized assistance, becoming your true smart partner.
Memory data is organized and stored in a structured manner, making it easier for AI to understand and efficiently retrieve relevant information, improving response speed and accuracy.
The OpenMemory MCP server runs on your local computer, acting as a central memory hub for all compatible AI tools. When you interact with these tools, relevant contextual information is securely captured, stored, and structured.
(e.g., Cursor Editor)
Communicates with OpenMemory MCP to store and access context memory.
(Runs Locally)
Securely stores, manages, and shares memory, acting as the central memory hub for all tools.
(e.g., Claude Desktop)
Retrieves relevant memory from OpenMemory MCP to maintain coherent conversations.
This localized architecture ensures your data always remains under your control while enabling intelligent memory sharing across applications.
Write code in Cursor, switch to Windsurf for debugging, then to Claude Desktop to discuss solutions. OpenMemory MCP ensures your AI assistant is synchronized throughout, understanding every step and intention.
Use AI writing tools to draft initial ideas, switch to image generation tools to create accompanying images, then to social media management tools to publish content. The AI always understands your creative theme and style preferences.
Read papers in a reference management tool, switch to a note-taking app to record key points, then use an AI chat tool for in-depth discussions. OpenMemory MCP helps AI integrate information and provide deeper insights.
Handle multiple projects simultaneously, switching between different AI-assisted applications. OpenMemory MCP can distinguish the context of different tasks, avoiding information confusion and improving efficiency.