
moontmsai/work-memory-mcp
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Never lose context again - persistent memory management system for AI-powered workflows across multiple tools
개요
An integrated MCP (Model Context Protocol) server for managing work memories and sharing context between AI tools. Work Memory MCP is a memory management system that helps developers and knowledge workers maintain consistent work context while using multiple AI tools (Claude, Cursor AI, etc.). It systematically manages knowledge and work progress accumulated from individual AI conversation sessions, providing a continuous and efficient work environment. While AI conversations disappear when sessions end, important work content and deliverables should be permanently preserved. Work Memory MCP safely stores all important work memories in a SQLite database, making them accessible at any time. You can share the same work context even when using multiple AI tools. Work started in Claude Desktop can be continued in Cursor AI or referenced from other tools, providing a consistent work environment. There's no need to repeatedly explain already solved problems or organized information.
README
원문 README의 일부입니다. 원문 보기.
Work Memory MCP Server
An integrated MCP (Model Context Protocol) server for managing work memories and sharing context between AI tools.
Project Purpose
Work Memory MCP is a memory management system that helps developers and knowledge workers maintain consistent work context while using multiple AI tools (Claude, Cursor AI, etc.). It systematically manages knowledge and work progress accumulated from individual AI conversation sessions, providing a continuous and efficient work environment.
Core Values
Persistence
While AI conversations disappear when sessions end, important work content and deliverables should be permanently preserved. Work Memory MCP safely stores all important work memories in a SQLite database, making them accessible at any time.
Consistency
You can share the same work context even when using multiple AI tools. Work started in Claude Desktop can be continued in Cursor AI or referenced from other tools, providing a consistent work environment.
Efficiency
There’s no need to repeatedly explain already solved problems or organized information. Through an advanced search system, you can quickly find and reuse past work content, significantly improving work efficiency.
Organization
Rather than randomly scattered information, you can build a systematically organized knowledge base by project, importance level, and tags. Session-based management clearly separates and manages the context of each project.
Key Features
Memory Management
- Store work content, deliverables, and learned information in structured format
- Priority management through importance scores (0-100 points)
- Multi-dimensional classification through tag system
- Separate management of todos and general memories
- Work progress management through completion status tracking
Session Management
- Create independent work sessions by project
- Automatic session context detection and connection
- Session-specific work memory linking and tracking
- Session lifecycle management (creation, activation, termination)
Advanced Search
- Keyword-based full-text search
- Filtering by project, importance, and session
- Related keyword recommendation system
- Search result highlighting and context provision
- Search performance optimization and statistics
History Management
- Track all work memory change history
- Previous state restoration through version management system
- Change comparison and analysis
- Automatic backup and recovery features
System Optimization
- Database performance monitoring
- Automatic index management and optimization
- Memory usage tracking
- Batch operation processing system
- Safe data cleanup features
Integrated Tool Configuration
Work Memory MCP consists of 5 integrated tools:
1. Memory (Memory Management)
Core tool responsible for creating, modifying, querying, and deleting work memories.
Key Functions:
add: Add new work memoryupdate: Modify existing work memory
설치
This server does not publish a one-line install command.
Open the repository installation guide MCP 초보자라면? mcpskill.org 가이드부터 시작하세요 →설정
{
"mcpServers": {
"work-memory": {
"command": "node",
"args": ["/PATH/work-memory/dist/index.js"],
"env": {
"WORK_MEMORY_DIR": "/PATH/work-memory/data/",
"LOG_LEVEL": "WARN",
"NODE_ENV": "production"
}
}
}
}