Memory Workflows and Advanced Features
This tutorial covers DocuMCP's memory system and advanced workflow features for intelligent documentation management.
Overview
DocuMCP includes a sophisticated memory system that learns from your documentation patterns and provides intelligent assistance:
Memory System Features
- Historical Analysis: Learns from past documentation projects
- User Preferences: Adapts to your documentation style
- Pattern Recognition: Identifies successful documentation patterns
- Smart Recommendations: Provides context-aware suggestions
Advanced Workflows
- Multi-Project Memory: Share insights across projects
- Collaborative Learning: Learn from team documentation patterns
- Automated Optimization: Continuously improve documentation quality
Getting Started with Memory
Initial Setup
# Initialize memory system:
"initialize memory system for my documentation workflow"
Basic Memory Operations
# Store analysis results:
"store this analysis in memory for future reference"
# Recall similar projects:
"find similar projects in my memory"
# Update preferences:
"update my documentation preferences based on this project"
Memory System Architecture
Memory Components
- Analysis Memory: Stores repository analysis results
- Recommendation Memory: Tracks SSG recommendation patterns
- Deployment Memory: Records deployment success patterns
- User Preference Memory: Learns individual preferences
Memory Storage
# Memory configuration
memory:
storage_path: ".documcp/memory"
retention_policy: "keep_all"
backup_enabled: true
compression: true
Advanced Memory Features
Contextual Retrieval
# Find relevant memories:
"find memories related to TypeScript documentation projects"
# Get contextual suggestions:
"get suggestions based on my previous documentation patterns"
Pattern Learning
# Learn from successful deployments:
"learn from successful documentation deployments"
# Identify patterns:
"identify successful documentation patterns in my memory"
Collaborative Memory
# Share memories with team:
"share documentation patterns with my team"
# Import team memories:
"import documentation patterns from team members"
Memory Workflow Examples
Project Analysis Workflow
# Complete analysis with memory integration:
"analyze my repository and store results in memory for future reference"
This workflow:
- Analyzes the current repository
- Compares with similar projects in memory
- Provides enhanced recommendations
- Stores results for future reference
Recommendation Workflow
# Get memory-enhanced recommendations:
"recommend SSG based on my memory and current project"
This workflow:
- Retrieves relevant memories
- Applies learned patterns
- Provides personalized recommendations
- Updates memory with results
Deployment Workflow
# Deploy with memory insights:
"deploy documentation using insights from my memory"
This workflow:
- Applies learned deployment patterns
- Uses successful configuration templates
- Monitors for known issues
- Records results for future learning
Memory Management
Memory Operations
# List all memories:
"list all memories in my system"
# Search memories:
"search memories for 'React documentation'"
# Export memories:
"export my documentation memories"
# Import memories:
"import documentation memories from file"
Memory Optimization
# Optimize memory storage:
"optimize memory storage and remove duplicates"
# Clean up old memories:
"clean up memories older than 6 months"
# Compress memory:
"compress memory storage for efficiency"
Advanced Workflow Patterns
Multi-Project Memory Sharing
# Set up project memory sharing:
"set up memory sharing between my projects"
Team Collaboration
# Enable team memory sharing:
"enable team memory sharing for documentation patterns"
Automated Learning
# Enable automated learning:
"enable automated learning from documentation patterns"
Memory Analytics
Memory Insights
# Get memory insights:
"provide insights from my documentation memory"
Success Pattern Analysis
# Analyze success patterns:
"analyze successful documentation patterns in my memory"
Performance Tracking
# Track memory performance:
"track performance of memory-enhanced recommendations"
Troubleshooting Memory Issues
Common Problems
Problem: Memory not loading Solution: Check memory file permissions and integrity
Problem: Slow memory operations Solution: Optimize memory storage and clean up old data
Problem: Inconsistent recommendations Solution: Review memory data quality and patterns
Memory Debugging
# Debug memory issues:
"debug memory system problems"
# Validate memory integrity:
"validate memory data integrity"
# Reset memory system:
"reset memory system to defaults"
Best Practices
Memory Management
- Regular Backups: Backup memory data regularly
- Quality Control: Review and clean memory data
- Privacy: Be mindful of sensitive data in memories
- Performance: Monitor memory system performance
- Documentation: Document your memory workflows
Workflow Optimization
- Consistent Patterns: Use consistent documentation patterns
- Regular Updates: Update memory with new learnings
- Team Sharing: Share successful patterns with team
- Continuous Learning: Enable continuous learning features
- Performance Monitoring: Monitor workflow performance
Memory System Integration
With Documentation Tools
- Repository Analysis: Enhanced with historical data
- SSG Recommendations: Improved with pattern learning
- Deployment Automation: Optimized with success patterns
- Content Generation: Informed by previous content
With External Systems
- CI/CD Integration: Memory-aware deployment pipelines
- Analytics Integration: Memory-enhanced performance tracking
- Team Tools: Collaborative memory sharing
- Backup Systems: Automated memory backup
Advanced Configuration
Memory Configuration
# Advanced memory configuration
memory:
storage:
type: "local"
path: ".documcp/memory"
encryption: true
learning:
enabled: true
auto_update: true
pattern_detection: true
sharing:
team_enabled: false
project_sharing: true
export_format: "json"
Performance Tuning
# Tune memory performance:
"optimize memory system performance"