Provides cross-platform support with automatic path normalization for Linux systems when managing Memory Bank files
Provides cross-platform support with automatic path normalization for macOS systems when managing Memory Bank files
Maintains persistent project context through structured markdown files organized into five core categories for tracking project information
Offers integration through a published npm package for easy installation and configuration of the Memory Bank MCP
Incorporates Shields.io badges in the README for displaying language options and other metadata
Memory Bank MCP
A guided Memory Bank plugin for AI-assisted development
Memory Bank MCP is a Model Context Protocol (MCP) plugin that helps AI assistants maintain persistent project context through structured markdown files. It provides a systematic approach to tracking project goals, decisions, progress, and patterns through guided instructions rather than direct operations.
Features
- Guided Operations: Provides instructions for AI assistants to perform operations themselves
- Structured Context Management: Organize project information across 5 core files
- Intelligent Guidance: Step-by-step instructions for initialization and updates
- Flexible Updates: Smart update guidance based on different change types
- Cross-Platform Support: Automatic path normalization for Windows/macOS/Linux
MCP Configuration
Using the published npm package:
Quick Start
- Initialize Memory Bank
- Read Memory Bank
- Update Memory Bank
Core Files
1. productContext.md (Product Context)
- High-level project overview
- Goals and key features
- Overall architecture
- Automatically incorporates projectBrief.md if available
2. activeContext.md (Active Context)
- Current work status
- Recent changes
- Open questions and issues
- Focus areas
3. progress.md (Progress)
- Task tracking in checklist format
- Completed, current, and planned tasks
- Progress timeline
4. decisionLog.md (Decision Log)
- Architectural and implementation decisions
- Rationale and implications
- Decision history
5. systemPatterns.md (System Patterns)
- Recurring patterns and standards
- Coding conventions
- Architectural patterns
- Testing strategies
Usage Guidelines
For AI Assistants
- Start Every Session: Check if memory-bank directory exists, then use
get-memory-bank-info
to understand project state - Initialize When Needed: Use
init-memory-bank
for new projects - Read Context: Use
get-memory-bank-info
to understand project state - Update Guidance: Use
update-memory-bank
to get update instructions - Follow Instructions: Execute the provided guidance to maintain Memory Bank
Update Triggers
- Architecture Changes: Major structural decisions
- Feature Completion: New features or capabilities
- Bug Fixes: Significant issue resolutions
- Refactoring: Code structure improvements
- Decisions: Any important technical choices
- Progress Updates: Task status changes
Tool Reference
init-memory-bank
Initializes Memory Bank with all core files.
Parameters:
rootPath
: Project root directory pathforce
(optional): Force re-initialization
Returns: Created files list and next steps guidance
get-memory-bank-info
Reads and returns all Memory Bank content (similar to codelf's get-project-info).
Parameters:
rootPath
: Project root directory path
Returns: Formatted Memory Bank content for AI context
update-memory-bank
Provides guidance for updating Memory Bank files.
Parameters:
rootPath
: Project root directory pathchangeType
: Type of change (architecture/feature/bugfix/refactor/decision/progress)description
: Brief description of the change
Returns: Detailed update instructions with templates and timestamps
Integration Tips
Cursor Setup
Add to Settings → Rules → User Rules:
Windsurf Setup
Add to Settings → Cascade → Memories and Rules → Global Rules:
Contributing
Contributions are welcome! Please feel free to submit issues or pull requests.
License
MIT
Acknowledgments
Inspired by the SPARC methodology and codelf.
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A Model Context Protocol plugin that helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to tracking project goals, decisions, progress, and patterns.
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