Elasticsearch Knowledge Graph
MCP Memory is a persistent memory system based on Elasticsearch, providing long - term memory storage capabilities for AI conversations and solving the problem of context loss in traditional AI conversations.
rating : 2.5 points
downloads : 23
What is the MCP Memory Server?
The MCP Memory Server is a knowledge graph system based on Elasticsearch, aiming to provide persistent memory storage for AI models, enabling them to remember important context information across conversations.How to use the MCP Memory Server?
You can quickly set up and connect to your AI assistant in just a few steps, enabling it to have long - term memory capabilities.Applicable scenarios
It is suitable for application scenarios that require long - term context memory, such as customer service systems, personalized recommendations, educational tutoring and other fields.Main features
Persistent memoryThe stored information can span multiple conversations and will not be lost due to context window limitations.
Intelligent searchLeverage the powerful search capabilities of Elasticsearch to quickly find the required information.
Context associationAI can automatically prioritize the retrieval of relevant memory information based on the current conversation.
Advantages and limitations
Advantages
Supports long - term context memory, improving conversation coherence.
Powerful search function, facilitating quick location of information.
Highly scalable, suitable for large - scale applications.
Limitations
Requires a certain technical foundation for installation and configuration.
Has certain requirements for hardware resources (such as sufficient storage space).
How to use
Clone the repository and install dependencies
Clone the project code via Git and run npm install to install the required dependency packages.
Start Elasticsearch
Use the npm script to start a local Elasticsearch instance, or specify the address of an external Elasticsearch node.
Build the project
After the installation is complete, execute the build command to generate a production - ready version.
Usage examples
Birthday reminderWhen the user mentions their daughter's birthday, the system will record relevant information and automatically remind in subsequent conversations.
Work project managementUsers can switch between different 'memory areas' in different conversations, facilitating the management and review of work progress.
Frequently Asked Questions
How to ensure data security?
What if I want to migrate existing data?
Related resources
Official documentation
Detailed user guides and technical documentation.
GitHub repository
Source code and latest updates.
Discord community
Join our community and exchange experiences with other users.
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