Memex MCP
MEMEX is a knowledge management server based on the MCP protocol, used to manage technical guides and AI context, providing functions for creation, search, update, and deletion, and supporting semantic search and integration with Claude AI
rating : 2.5 points
downloads : 6.4K
What is MEMEX?
MEMEX is an intelligent knowledge base server based on the Model Context Protocol (MCP), specifically designed for AI assistants. It can store and manage knowledge such as technical guides, project context, and team specifications, enabling AI to remember and use this information during conversations, providing more accurate and coherent assistance.How to use MEMEX?
After installing MEMEX, configure it in Claude Desktop or other MCP clients. The AI assistant can then automatically access your stored knowledge base, referring to relevant guides and context information when answering technical questions, writing code, or providing advice.Use Cases
Scenarios such as team knowledge sharing, personal technical note management, project specification maintenance, AI assistant memory enhancement, and rapid retrieval of technical documents. It is particularly suitable for development teams, technical writers, and users who need to frequently refer to technical materials.Main Features
Dual Knowledge Base System
Manage technical guides and AI context separately. Guides are used for step-by-step instructions, and context is used for AI behavior customization.
Intelligent Semantic Search
Based on Ollama's vector search technology, it understands the query intent and finds the most relevant content.
Direct Editing Function
Create, update, and delete knowledge base content directly without leaving the AI conversation interface.
Deep Integration with Claude
Optimized for Claude 3.7+, providing a seamless knowledge access experience.
Flexible Storage Configuration
Supports custom knowledge base paths, allowing knowledge sharing between different projects.
Markdown-Friendly
Use the familiar Markdown format, supporting YAML metadata, which is easy to write and maintain.
Advantages
๐ฏ Improve the accuracy of AI answers - Provide reliable information based on a real knowledge base
โฑ๏ธ Save time on repeated explanations - Avoid re - explaining the project background every time
๐ Maintain conversation coherence - AI remembers previous discussions and decisions
๐ฅ Promote team knowledge sharing - Unified technical standards and best practices
๐ Intelligent content retrieval - Semantic search finds the most relevant content
๐ Completely free to use - MIT license, no restrictions
Limitations
๐ฅ๏ธ Only supports macOS and Linux - Windows system is not supported yet
๐ Requires manual maintenance - Knowledge base content needs to be updated regularly
โ๏ธ Initial configuration is complex - Requires installing Ollama and configuring the environment
๐พ Content size limit - Single file maximum 1MB limit
๐ง Technical threshold - Requires basic command - line operation knowledge
How to Use
Environment Preparation
Ensure that PHP 8.3+, Composer, and Node.js 20+ are installed on the system.
Install Ollama
Download and install Ollama, then obtain the semantic search model.
Install MEMEX
Download the latest version of the MEMEX binary file.
Configure Claude Desktop
Add the MEMEX server to the Claude Desktop configuration file.
Start Using
Restart Claude Desktop, and the AI assistant can now access your knowledge base.
Usage Examples
Technical Specification Query
When new members join the team, quickly understand the project's coding specifications and architectural standards.
Deployment Process Guidance
When deploying an application to the production environment, obtain detailed step - by - step instructions and precautions.
Code Review Standards
When conducting code reviews, refer to the team's code quality standards and best practices.
Troubleshooting Guide
When encountering system failures, quickly obtain troubleshooting steps and solutions.
Frequently Asked Questions
What is the difference between MEMEX and ordinary note - taking software?
Is programming knowledge required to use it?
How to ensure the security of the knowledge base content?
What file formats are supported?
How can the team share the knowledge base?
How does semantic search work?
Related Resources
Complete Usage Guide
Detailed installation, configuration, and usage instructions
AI Agent Guide
Technical documentation for AI agent developers
GitHub Repository
Source code and latest release versions
Ollama Official Website
Download Ollama and learn about embedding models
MCP Protocol Documentation
Official specification of the Model Context Protocol

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