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Continuo Memory MCP
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Continuo Memory MCP

Continuo is a persistent memory system that provides semantic search and hierarchical compression functions for the development environment, enabling cross - session knowledge storage and retrieval through a vector database and the MCP protocol.
Knowledge management and memoryDeveloper tools#Persistent Memory#Semantic Search#Hierarchical Compression#MCP Integration.Python
2 points
5.1K
Open Site

Overview

Installation

Tools List

Content Details

Alternatives

What is the Continuo Memory System?

Continuo is an intelligent memory system specifically designed for the development workflow. It can continuously store and retrieve development knowledge, help developers quickly find relevant information through semantic search, and optimize storage efficiency using hierarchical compression technology.

How to use the Continuo Memory System?

Through simple IDE integration, you can directly search for and store development knowledge in the code editor. The system supports local deployment or low-cost cloud services, and the installation and configuration are simple and fast.

Use Cases

Suitable for scenarios where software development teams, independent developers, technical document writers, etc. need to maintain and retrieve development knowledge in the long term. Especially suitable for large projects and multi - developer collaboration environments.

Main Features

Persistent Memory
Store and retrieve development knowledge across sessions, ensuring knowledge is never lost.
Use natural language queries to find relevant information without the need for exact keyword matching.
Hierarchical Compression
Three - level compression from N0 (original block) → N1 (micro - summary) → N2 (meta - summary) to optimize storage space.
MCP Integration
Seamlessly integrate with mainstream IDEs through the Model Context Protocol.
Cost - Effectiveness
Supports 100% free local deployment or low - cost hybrid deployment options.
Advantages
Break through the AI context window limitation and support long - term knowledge accumulation.
Semantic search is more intelligent, understanding the query intention rather than simple keyword matching.
Hierarchical compression technology significantly optimizes storage space and usage efficiency.
Supports multiple deployment methods, from free local to low - cost cloud.
Deeply integrated with mainstream IDEs for convenient use.
Limitations
Requires initial configuration and integration settings.
Large projects may require more storage space.
The accuracy of semantic search depends on the quality of the training model.

How to Use

Install the System
Clone the code repository and run the installation script to complete the basic environment configuration.
Start the Memory Server
Run the memory server, supporting local or OpenAI embedding modes.
Configure IDE Integration
Add MCP server settings to the IDE configuration file.
Start Using
Directly use the search and storage functions of the memory system in the IDE.

Usage Examples

Code Snippet Retrieval
When you need to find the code for a specific function implemented before, use semantic search to quickly locate it.
Problem Solution Storage
After solving a complex bug, store the solution in memory for future reference.
Project Knowledge Accumulation
At the start of a new project, quickly understand the project architecture and existing implementations.

Frequently Asked Questions

What is the difference between the Continuo Memory System and ordinary note - taking software?
Which IDE integrations are supported?
Where is the data stored? Is it secure?
How does hierarchical compression work?
Is there a fee for commercial use?

Related Resources

Detailed Installation Guide
Contains complete installation steps and troubleshooting guides.
Technical Architecture Description
Detailed technical architecture and implementation principle descriptions.
Commercial License Information
Details and pricing information for commercial use licenses.
GitHub Code Repository
Project source code and latest updates.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "continuo-memory": {
      "command": "/absolute/path/to/continuo/venv_memory/bin/python",
      "args": [
        "/absolute/path/to/continuo/src/mcp/memory/mcp_memory_server.py",
        "--provider",
        "local",
        "--db-path",
        "/absolute/path/to/memory_db"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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