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MCP Memory Service
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MCP Memory Service

The MCP Memory Service is a semantic memory storage system based on ChromaDB and sentence transformers, providing long - term memory and semantic search functions for Claude Desktop.
Knowledge management and memoryArtificial intelligence chatbots#Semantic Memory#Persistent Storage#Intelligent Search#Multi - Platform.Python
3.5 points
10.8K
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Overview

Installation

Content Details

Alternatives

What is the MCP Memory Service?

The MCP Memory Service is an MCP server that provides semantic memory and persistent storage capabilities. It is suitable for long - term memory storage and context maintenance across conversation instances. It uses ChromaDB and sentence transformers to achieve efficient semantic search.

How to use the MCP Memory Service?

You can complete the installation and configuration in just a few steps. Enhance the conversation experience by storing, retrieving, and managing memories.

Applicable Scenarios

It is suitable for application scenarios that require long - term memory storage, such as personal assistants, customer service systems, and educational tools.

Main Features

Semantic Search
Efficient semantic memory retrieval is achieved through the sentence transformer model.
Natural Language Time Recall
Retrieve memories using time expressed in natural language (e.g., 'last week', 'yesterday morning').
Tag - Based Memory Retrieval
Find memories by specific tags.
Persistent Storage
Use ChromaDB for persistent storage.
Automatic Database Backup
Regularly back up the database to ensure data security.
Memory Optimization Tool
Clean up duplicates and optimize database performance.
Exact Match Retrieval
Retrieve memories by exact content matching.
Debug Mode
Analyze similarity and view the retrieval process.
Database Health Monitoring
Check the database running status and obtain statistical information.
Duplicate Cleanup
Automatically detect and delete duplicate entries.
Custom Embedding Model
Support the selection of different embedding models.
Cross - Platform Compatibility
Support multiple operating systems and hardware architectures.
Hardware - Aware Optimization
Adjust optimization strategies according to different environments.
Graceful Fallback
Provide alternative solutions when resources are limited.
Advantages
Powerful semantic search capabilities.
Support multiple memory retrieval methods (time, tag, exact match, etc.).
Automatic backup and duplicate removal functions reduce manual intervention.
Strong cross - platform compatibility, suitable for different hardware architectures.
Hardware - aware optimization ensures optimal performance.
Limitations
More computing resources may be required for large databases.
Some advanced functions depend on network connectivity.
A certain technical background may be required for the initial deployment.

How to Use

Install UV
Make sure the UV tool is installed.
Clone and Install the Service
Clone the project and complete the installation.
Start the Service
Run the service to start using it.

Usage Examples

Store Memory
Store a new memory in the MCP Memory Service.
Retrieve Memory
Retrieve stored memories by keywords.

Frequently Asked Questions

How to check if the service is running normally?
How to clean up duplicate memories?
How to set up automatic backup?

Related Resources

GitHub Repository
Project source code and documentation.
Official Documentation
Detailed installation and usage guide.
Support Channel
Contact the developer for help.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": [
    {
      "name": "cloudflare-memory",
      "url": "https://your-worker-subdomain.workers.dev/mcp",
      "type": "sse"
    }
  ]
}
Note: Your key is sensitive information, do not share it with anyone.

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