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Openmemory MCP
Overview :
OpenMemory is an open-source personal memory layer that provides private, portable memory management for large language models (LLMs). It ensures users have full control over their data, maintaining its security when building AI applications. This project supports Docker, Python, and Node.js, making it suitable for developers seeking personalized AI experiences. OpenMemory is particularly suited for users who wish to use AI without revealing personal information.
Target Users :
This product is suitable for developers, AI researchers, and ordinary users interested in personalized AI experiences. Through local memory management, users can securely build and use AI applications without worrying about privacy leaks.
Use Cases
Develop personalized chatbots that remember user preferences.
Build AI-based educational applications that adjust content based on students' learning history.
Use an AI assistant to manage daily tasks and provide suggestions based on past memories.
Features
Private Data Management: Users' memory data is stored locally, ensuring security and privacy.
Personalized Experience: By storing personalized memories, AI applications can better adapt to user needs.
Open Source Project: Users and developers can freely view, modify, and extend the code.
User-Friendly Interfaces: Provides simple APIs and frontend interfaces for easy developer integration.
Community-Driven: Encourages user feedback and contributions to continuously improve and expand features.
How to Use
Ensure that Docker and Docker Compose are installed on your device.
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Download the source code for the OpenMemory project.
Run the command 'make build' in the terminal to build the server and user interface.
Run the command 'make up' to start the OpenMemory MCP server and UI.
Visit http://localhost:8765 to view the API documentation, or http://localhost:3000 to use the user interface.
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