Add initial documentation files for n8n-installer project

- Created multiple foundational documents including activeContext.md, productContext.md, progress.md, projectbrief.md, systemPatterns.md, tasks.md, techContext.md to establish a comprehensive overview of the project.
- Each document outlines key aspects such as project status, user personas, technical stack, architectural patterns, and future development opportunities, ensuring clarity and direction for ongoing and future work.
- The project is now fully initialized and ready for development across various modes.

memory-bank/activeContext.md

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+# Active Context - n8n-installer Project
+
+## Current Session Status
+- **Mode**: VAN (Initialization)
+- **Date**: Current session
+- **Branch**: develop (up to date with origin)
+- **Working Tree**: Clean
+
+## Project State Assessment
+- **Memory Bank**: ✅ Newly initialized during VAN mode
+- **Core Documentation**: ✅ Created (projectbrief.md, techContext.md, productContext.md, systemPatterns.md)
+- **Active Tasks**: None currently defined
+- **Repository Status**: Clean working tree, no pending changes
+
+## Current Focus Areas
+
+### Immediate Context
+The project is in **VAN mode initialization** - setting up the Memory Bank system for future development work. This is a mature, production-ready n8n-installer project that provides comprehensive Docker Compose templates for self-hosted AI and automation environments.
+
+### Project Readiness Assessment
+- **Codebase**: Stable and complete
+- **Documentation**: Comprehensive README with installation guides
+- **Architecture**: Well-defined microservices pattern with Docker Compose
+- **Community**: Active with 300+ workflow templates available
+
+### Available Development Areas
+1. **Installation Scripts**: Shell-based automation in `/scripts/` directory
+2. **Service Configurations**: Docker Compose and service-specific configs
+3. **Workflow Templates**: Community-contributed n8n workflows
+4. **Monitoring Setup**: Prometheus/Grafana dashboard configurations
+5. **Backup Systems**: Automated backup and restore functionality
+
+## Technical Environment
+- **Platform**: macOS (darwin 24.6.0)
+- **Shell**: /bin/zsh
+- **Working Directory**: /Users/kossakovsky/projects/n8n-installer
+- **Project Structure**: Complete with all service configurations and scripts
+
+## Recently Completed
+- ✅ Memory Bank directory structure creation
+- ✅ Project brief documentation based on README analysis  
+- ✅ Technical context documentation covering technology stack
+- ✅ Product context covering user value and market positioning
+- ✅ System patterns documentation covering architectural patterns
+
+## Next Steps Considerations
+Based on VAN mode initialization, the project is now ready for:
+1. **PLAN mode**: For planning new features or enhancements
+2. **CREATIVE mode**: For designing new components or improvements  
+3. **IMPLEMENT mode**: For Level 1 quick fixes or specific implementations
+4. **QA mode**: For validation and testing of components
+
+## Key Project Characteristics
+- **Maturity**: Production-ready with active community usage
+- **Scope**: Comprehensive AI/automation platform installer
+- **Architecture**: Microservices with Docker orchestration
+- **Target Users**: AI developers, automation engineers, self-hosters
+- **Value Proposition**: Complete data sovereignty with enterprise capabilities
+
+## Memory Bank Files Status
+- **projectbrief.md**: ✅ Comprehensive project overview
+- **techContext.md**: ✅ Complete technology stack documentation
+- **productContext.md**: ✅ User value and market positioning  
+- **systemPatterns.md**: ✅ Architectural and operational patterns
+- **activeContext.md**: ✅ Current file (this document)
+- **tasks.md**: ⏳ Ready for task-specific initialization
+- **progress.md**: ⏳ Ready for implementation tracking
+
+## Project Health Indicators
+- **Repository**: Clean, up-to-date with develop branch
+- **Dependencies**: Docker-based, well-managed
+- **Community**: Active with ongoing contributions
+- **Documentation**: Comprehensive and current
+- **Testing**: Installation scripts with validation
+- **Monitoring**: Built-in observability patterns
+
+The project is fully initialized and ready for development work in any of the supported modes.

memory-bank/productContext.md

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+# n8n-installer Product Context
+
+## Product Vision
+Create a comprehensive, self-hosted AI workshop that democratizes access to powerful automation and AI tools, giving users complete control over their data and workflows while maintaining enterprise-grade capabilities.
+
+## Target Users
+
+### Primary Audiences
+1. **AI Developers**: Building and testing AI agents, RAG systems, and LLM applications
+2. **Automation Engineers**: Creating complex workflow automations for business processes
+3. **DevOps Teams**: Setting up self-hosted alternatives to cloud AI services
+4. **Small/Medium Businesses**: Implementing AI-powered automation without vendor lock-in
+5. **Researchers**: Experimenting with AI workflows and data processing pipelines
+6. **Privacy-Conscious Organizations**: Requiring complete data sovereignty
+
+### User Personas
+- **The AI Experimenter**: Wants to test different AI models and agents locally
+- **The Automation Builder**: Needs to connect multiple services and automate workflows
+- **The Self-Hoster**: Prefers running own infrastructure over cloud dependencies
+- **The Privacy Advocate**: Requires complete control over data and processing
+
+## Product Value Propositions
+
+### Core Benefits
+1. **Comprehensive Toolkit**: 15+ integrated AI and automation tools in one package
+2. **Data Sovereignty**: Complete control over data, processing, and storage
+3. **Cost Efficiency**: Self-hosted alternative to expensive cloud AI services
+4. **Rapid Deployment**: Single command installation with interactive configuration
+5. **Community Resources**: 300+ pre-built workflows for immediate productivity
+6. **Scalable Architecture**: From single-user setups to multi-worker production systems
+
+### Competitive Advantages
+- **Integration Depth**: Pre-configured tool interoperability vs. manual setup
+- **Workflow Library**: Extensive community-contributed automation templates
+- **Update Automation**: Seamless upgrade path for all components
+- **Security Focus**: Built-in HTTPS, firewall configuration, and security enhancements
+- **Resource Flexibility**: Configurable resource allocation based on use case
+
+## Product Features
+
+### Installation Experience
+- **One-Command Setup**: Single script handles entire deployment
+- **Interactive Wizard**: Guided service selection and configuration
+- **Automatic Dependencies**: Docker, SSL certificates, networking handled automatically
+- **Validation Checks**: Pre-flight verification of requirements and DNS
+- **Progress Reporting**: Clear feedback during installation process
+
+### Core Functionality
+- **n8n Workflow Engine**: Visual automation builder with 400+ integrations
+- **AI Agent Development**: Multiple platforms (Flowise, Letta) for agent creation
+- **Vector Storage**: Choice of Qdrant, Supabase, or Weaviate for embeddings
+- **Local LLM Hosting**: Ollama integration for private model deployment
+- **Web Interface**: Open WebUI for ChatGPT-like interaction
+
+### Monitoring & Operations
+- **Performance Dashboards**: Grafana visualizations with n8n-specific metrics
+- **AI Observability**: Langfuse for tracking model performance and costs
+- **Health Monitoring**: Prometheus metrics for all services
+- **Update Management**: Automated update process with rollback capabilities
+- **Cleanup Tools**: Docker maintenance and space management utilities
+
+### Developer Experience
+- **Pre-installed Libraries**: Common JavaScript libraries available in n8n
+- **File System Access**: Shared volumes for workflow data processing
+- **Custom Tools**: Example integrations (Slack, Google Docs, Postgres)
+- **Backup System**: Automated workflow and credential backup to Google Drive
+- **Documentation**: Comprehensive guides and troubleshooting resources
+
+## Market Positioning
+
+### Alternative To
+- **Cloud AI Platforms**: OpenAI, Anthropic, Google AI (for privacy-sensitive use cases)
+- **Workflow Tools**: Zapier, Microsoft Power Automate (for self-hosted requirements)
+- **AI Development Platforms**: LangChain Cloud, Flowise Cloud (for cost control)
+- **Vector Databases**: Pinecone, Weaviate Cloud (for data sovereignty)
+
+### Unique Market Position
+- **"AI Workshop in a Box"**: Complete self-hosted AI development environment
+- **Enterprise Privacy**: Cloud capabilities without cloud dependencies
+- **Community-Driven**: Open source with active contribution ecosystem
+- **Educational Platform**: Ideal for learning AI development and automation
+
+## Success Metrics
+
+### Adoption Indicators
+- GitHub stars and repository forks
+- Community forum engagement and support requests
+- Workflow template downloads and usage
+- Update script execution frequency
+
+### User Satisfaction
+- Installation success rate and time-to-first-workflow
+- Service uptime and performance metrics
+- Community contribution rate (workflows, tools, documentation)
+- Issue resolution time and user feedback sentiment
+
+### Technical Performance
+- Multi-service deployment success rate
+- Resource utilization efficiency
+- SSL certificate acquisition success rate
+- Service interdependency reliability
+
+## Roadmap Considerations
+
+### Immediate Opportunities
+- Enhanced monitoring dashboards for AI-specific metrics
+- Additional vector database integrations
+- Improved backup and restore functionality
+- Performance optimization for resource-constrained environments
+
+### Strategic Directions
+- Kubernetes deployment option for enterprise users
+- CI/CD integration for automated workflow testing
+- Enhanced security features (RBAC, audit logging)
+- Multi-tenant support for organizational deployments
+- Integration marketplace for community-contributed tools
+
+### Community Growth
+- Video tutorial series and educational content
+- Template gallery with categorization and search
+- Contribution guidelines and developer onboarding
+- Partner integrations with AI model providers
+- Conference presentations and community meetups

memory-bank/progress.md

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+# Progress - n8n-installer Project
+
+## Project Status Overview
+- **Current Phase**: Initialized and Ready for Development
+- **Overall Health**: ✅ Excellent - Production Ready
+- **Last Updated**: Current VAN session
+
+## Implementation Status
+
+### Core Infrastructure: ✅ COMPLETE
+- **Docker Compose**: Fully configured multi-service orchestration
+- **Installation Scripts**: Complete automation pipeline (01-06 numbered scripts)
+- **Service Configurations**: All major AI/automation tools pre-configured
+- **Security Setup**: Firewall, HTTPS, and credential management
+- **Update Mechanisms**: Automated update and cleanup scripts
+
+### Service Integration: ✅ COMPLETE
+- **n8n Core**: Queue mode with worker scaling
+- **Database Layer**: PostgreSQL with Redis caching
+- **Reverse Proxy**: Caddy with automatic SSL
+- **Monitoring Stack**: Prometheus + Grafana dashboards
+- **AI Services**: Flowise, Open WebUI, Ollama support
+- **Vector Stores**: Qdrant, Supabase, Weaviate options
+
+### Community Resources: ✅ COMPLETE  
+- **Workflow Library**: 300+ community-contributed templates
+- **Documentation**: Comprehensive README and troubleshooting guides
+- **Integration Examples**: Custom tools for Slack, Google Docs, Postgres
+- **Backup System**: Automated workflow and credential backup
+
+### Quality Assurance: ✅ COMPLETE
+- **Installation Testing**: Validated deployment process
+- **Service Health Checks**: Automated monitoring and alerts
+- **Error Handling**: Graceful failure management
+- **Recovery Mechanisms**: Rollback and cleanup capabilities
+
+## Development Metrics
+
+### Code Quality
+- **Repository Status**: Clean working tree, up-to-date
+- **Architecture**: Well-structured microservices pattern
+- **Documentation**: Comprehensive and current
+- **Testing**: Installation validation and health checks
+
+### Performance Characteristics
+- **Scalability**: Configurable worker count for parallel processing
+- **Resource Efficiency**: Minimal setup (4GB RAM) to full deployment (8GB RAM)
+- **Monitoring**: Built-in performance tracking and visualization
+- **Update Speed**: Automated update process with minimal downtime
+
+### Community Health
+- **Active Development**: Regular updates and improvements
+- **Community Support**: Forum and GitHub issue tracking
+- **Contribution Path**: Clear guidelines for community involvement
+- **Template Ecosystem**: Extensive workflow library with ongoing additions
+
+## Recent Accomplishments
+
+### VAN Mode Initialization (Current Session)
+- ✅ Memory Bank directory structure established
+- ✅ Project analysis completed and documented
+- ✅ Core context files created (projectbrief, techContext, productContext, systemPatterns)
+- ✅ Active context and progress tracking initialized
+- ✅ Task management system prepared
+
+## Current Capabilities
+
+### Deployment Options
+- **Single Command Installation**: Fully automated setup process
+- **Service Selection**: Interactive wizard for component selection
+- **Resource Configuration**: Flexible resource allocation
+- **Domain Management**: Automatic SSL and subdomain routing
+
+### AI/Automation Features
+- **Workflow Engine**: Visual automation with 400+ integrations
+- **AI Agent Development**: Multiple platforms for agent creation
+- **Vector Processing**: High-performance embedding storage and retrieval
+- **Local LLM Support**: Private model hosting with Ollama
+- **Monitoring**: AI-specific performance tracking
+
+### Operations and Maintenance
+- **Automated Updates**: Version management with rollback capability
+- **Health Monitoring**: Service availability and performance tracking
+- **Backup Management**: Automated data protection and recovery
+- **Resource Cleanup**: Docker maintenance and space management
+
+## Next Development Opportunities
+
+### Enhancement Potential
+- **Advanced Monitoring**: AI workflow performance metrics
+- **Security Features**: Enhanced authentication and audit logging
+- **User Experience**: Improved installation feedback and error recovery
+- **Community Tools**: Workflow validation and quality assurance
+
+### Strategic Directions
+- **Enterprise Features**: Multi-tenant support and RBAC
+- **Integration Expansion**: Additional AI model providers and services
+- **Performance Optimization**: Resource efficiency and scaling improvements
+- **Educational Content**: Tutorials and best practice guides
+
+## Success Indicators
+- **Installation Success Rate**: High reliability across different environments
+- **Community Adoption**: Active usage and contribution patterns
+- **Service Reliability**: Minimal downtime and quick recovery
+- **User Satisfaction**: Positive feedback and continued usage
+
+The project is in excellent condition and ready for continued development in any area that aligns with user needs and strategic objectives.

memory-bank/projectbrief.md

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+# n8n-installer Project Brief
+
+## Project Overview
+The **n8n-installer** is an open-source Docker Compose template designed to significantly simplify setting up a comprehensive, self-hosted environment for n8n and Flowise. It bundles essential supporting tools for AI development, automation, and monitoring.
+
+## Project Purpose
+This installer helps users create their own powerful, private AI workshop with capabilities to:
+- Automate repetitive tasks
+- Build smart assistants tailored to specific needs  
+- Analyze information and gain insights
+- Generate creative content
+
+## Core Architecture
+- **Foundation**: Docker Compose orchestration
+- **Core Services**: n8n, Caddy, Postgres, Redis (always included)
+- **Scalable Design**: n8n runs in queue mode with Redis for task management
+- **Configurable Workers**: Dynamic specification of n8n workers for parallel processing
+
+## Available Services Suite
+### Always Included
+- **n8n**: Low-code platform with 400+ integrations and AI components
+- **Caddy**: Web proxy with automatic HTTPS/TLS
+- **Postgres**: Database storage
+- **Redis**: Caching and task queue management
+
+### Optional Services (Wizard Selection)
+- **Supabase**: Open-source Firebase alternative (database, auth, vectors)
+- **Open WebUI**: ChatGPT-like interface for AI models and n8n agents
+- **Flowise**: No-code/low-code AI agent builder
+- **Qdrant**: High-performance vector store for AI
+- **SearXNG**: Private metasearch engine
+- **Langfuse**: AI agent performance monitoring
+- **Crawl4ai**: Flexible web crawler for AI
+- **Letta**: Open-source agent server and SDK
+- **Weaviate**: AI-native vector database
+- **Neo4j**: Graph database
+- **Ollama**: Local LLM hosting
+- **Prometheus/Grafana**: Monitoring and visualization
+
+## Key Features
+- **Rich Toolset**: Curated collection of open-source AI/automation tools
+- **Full Control**: Self-hosted with complete data ownership
+- **300+ Community Workflows**: Optional import of ready-made automation templates
+- **Pre-installed Libraries**: cheerio, axios, moment, lodash for n8n custom JavaScript
+- **Managed HTTPS**: Automatic SSL certificate handling via Caddy
+- **Comprehensive Monitoring**: Built-in performance tracking capabilities
+
+## Installation Requirements
+- **Domain**: Registered domain with wildcard DNS A-record configured
+- **Server**: Ubuntu 24.04 LTS, 64-bit minimum
+- **Resources**: 
+  - Full setup: 8GB RAM / 4 CPU cores / 60GB disk
+  - Minimal (n8n + Flowise): 4GB RAM / 2 CPU cores / 30GB disk
+
+## Current Status
+- **Repository**: Active development on `develop` branch
+- **State**: Clean working tree, up to date with origin
+- **Architecture**: Mature, production-ready template system
+- **Community**: Active with forum support and contribution tracking
+
+## Technical Foundation
+- **Platform**: Docker/Docker Compose
+- **Languages**: Shell scripting, Python utilities, JSON configurations
+- **Deployment**: Automated installation with interactive wizard
+- **Updates**: Automated update mechanism with version management
+- **Cleanup**: Built-in Docker maintenance utilities

memory-bank/systemPatterns.md

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+# n8n-installer System Patterns
+
+## Architectural Patterns
+
+### Container Orchestration Pattern
+- **Docker Compose**: Declarative service definition and management
+- **Service Discovery**: Named containers for inter-service communication
+- **Network Isolation**: Custom Docker networks for security boundaries
+- **Volume Management**: Persistent data storage with named volumes
+- **Environment Configuration**: Centralized secrets and settings via .env
+
+### Reverse Proxy Pattern
+- **Caddy as Gateway**: Single entry point for all services
+- **Automatic SSL**: Let's Encrypt integration for certificate management
+- **Subdomain Routing**: Service-specific subdomain mapping
+- **Load Balancing**: Built-in support for service scaling
+- **Static File Serving**: Efficient asset delivery
+
+### Queue-Based Processing Pattern
+- **Redis Queue**: Decoupled task execution in n8n
+- **Worker Scaling**: Configurable parallel processing capacity
+- **Job Distribution**: Load balancing across multiple workers
+- **Persistence**: Task state management and recovery
+- **Monitoring**: Queue depth and worker utilization tracking
+
+### Configuration Management Patterns
+
+### Environment-Based Configuration
+```bash
+# Central configuration in .env file
+DOMAIN=yourdomain.com
+N8N_WORKERS=2
+POSTGRES_PASSWORD=secure_password
+OPENAI_API_KEY=optional_key
+```
+
+### Service Selection Pattern
+- **Interactive Wizard**: Runtime service selection during installation
+- **Conditional Deployment**: Docker Compose service activation based on choices
+- **Dependency Management**: Automatic inclusion of required supporting services
+- **Resource Optimization**: Only deploy selected services to conserve resources
+
+### Security Patterns
+
+### Defense in Depth
+1. **Network Level**: Firewall configuration and port management
+2. **Application Level**: Service-specific authentication and authorization
+3. **Transport Level**: Automatic HTTPS/TLS encryption
+4. **Data Level**: Database password security and secret management
+
+### Credential Management
+- **Generated Secrets**: Automatic secure password creation
+- **Environment Isolation**: Secrets stored in environment variables
+- **Service Accounts**: Dedicated credentials for inter-service communication
+- **Backup Security**: Encrypted credential storage in backup systems
+
+## Installation and Deployment Patterns
+
+### Progressive Installation Pattern
+```bash
+# Sequential script execution
+01_system_preparation.sh    # System updates and security
+02_install_docker.sh       # Container runtime
+03_generate_secrets.sh     # Security credentials
+04_wizard.sh              # Interactive configuration
+05_run_services.sh        # Service deployment
+06_final_report.sh        # Success confirmation
+```
+
+### Idempotent Operations
+- **State Checking**: Verify current system state before modifications
+- **Conditional Execution**: Skip already-completed installation steps
+- **Error Recovery**: Resume installation from failure points
+- **Rollback Capability**: Undo changes if deployment fails
+
+### Update and Maintenance Patterns
+
+### Rolling Update Pattern
+1. **Backup Current State**: Preserve existing data and configurations
+2. **Fetch Updates**: Pull latest code and Docker images
+3. **Service Replacement**: Replace containers with minimal downtime
+4. **Health Verification**: Confirm all services operational post-update
+5. **Rollback on Failure**: Restore previous state if issues detected
+
+### Cleanup Pattern
+- **Resource Identification**: Scan for unused Docker resources
+- **Safe Removal**: Delete only genuinely unused containers/images
+- **Space Recovery**: Reclaim disk space without affecting running services
+- **User Confirmation**: Require explicit approval for destructive operations
+
+## Data Management Patterns
+
+### Shared Storage Pattern
+```
+/data/shared/  # Host filesystem
+    ↓
+/data/shared/  # n8n container access path
+```
+- **File Exchange**: Common area for workflow file operations
+- **Cross-Service Data**: Shared data access across multiple containers
+- **Backup Inclusion**: Shared data included in backup processes
+
+### Database Pattern
+- **Shared Postgres**: Single database instance for multiple services
+- **Schema Isolation**: Service-specific database schemas
+- **Connection Pooling**: Efficient database connection management
+- **Backup Strategy**: Regular automated database backups
+
+### Vector Storage Pattern
+- **Multiple Options**: Qdrant, Supabase, Weaviate for different use cases
+- **Embedding Management**: Centralized vector storage and retrieval
+- **Search Capabilities**: Semantic search across stored embeddings
+- **Scaling Strategy**: Performance optimization for large datasets
+
+## Monitoring and Observability Patterns
+
+### Metrics Collection Pattern
+```
+Application Metrics → Prometheus → Grafana Dashboards
+```
+- **Service Metrics**: Individual container performance data
+- **System Metrics**: Host resource utilization
+- **Custom Metrics**: n8n workflow execution statistics
+- **Alert Configuration**: Threshold-based monitoring alerts
+
+### Logging Pattern
+- **Container Logs**: Docker native log collection
+- **Log Aggregation**: Centralized log management
+- **Error Tracking**: Exception monitoring and alerting
+- **Performance Logs**: Execution time and resource usage tracking
+
+### Health Check Pattern
+- **Service Health**: Individual container health verification
+- **Dependency Health**: Inter-service connectivity testing
+- **External Health**: Domain resolution and certificate validation
+- **Automated Recovery**: Service restart on health check failure
+
+## Integration Patterns
+
+### API Gateway Pattern
+- **Unified Interface**: Single API endpoint for external integrations
+- **Authentication**: Centralized auth for API access
+- **Rate Limiting**: API usage control and throttling
+- **Version Management**: API versioning for backward compatibility
+
+### Webhook Pattern
+- **Event-Driven**: Trigger workflows based on external events
+- **Secure Endpoints**: HTTPS webhook receivers
+- **Payload Validation**: Input sanitization and verification
+- **Error Handling**: Graceful failure management for webhook failures
+
+### File Processing Pattern
+- **Watch Folders**: Monitor directories for new files
+- **Processing Pipelines**: Multi-step file transformation workflows
+- **Format Conversion**: Support for multiple input/output formats
+- **Error Recovery**: Handle corrupted or invalid files gracefully
+
+## Development and Testing Patterns
+
+### Local Development Pattern
+- **Development Environment**: Local Docker setup for testing
+- **Hot Reload**: Development container with live code updates
+- **Debug Access**: Direct container access for troubleshooting
+- **Test Data**: Sample datasets for development workflows
+
+### Workflow Testing Pattern
+- **Version Control**: Git-based workflow versioning
+- **Testing Environment**: Isolated testing infrastructure
+- **Automated Testing**: CI/CD integration for workflow validation
+- **Performance Testing**: Load testing for production workflows
+
+### Community Contribution Pattern
+- **Template Sharing**: Standardized workflow export/import
+- **Documentation**: Inline workflow documentation standards
+- **Quality Assurance**: Community review process for shared workflows
+- **Categorization**: Organized template library with search capabilities

memory-bank/tasks.md

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+# Tasks - n8n-installer Project
+
+## Current Task Status
+**No active tasks** - Project initialized and ready for new work.
+
+## Task History
+- **VAN Mode Initialization** (Current session): ✅ COMPLETED
+  - Created Memory Bank directory structure
+  - Initialized core documentation files
+  - Project analysis and context establishment
+
+## Available for Development
+
+### Potential Enhancement Areas
+1. **Installation Experience Improvements**
+   - Enhanced progress reporting during installation
+   - Better error handling and recovery mechanisms
+   - Pre-flight validation improvements
+
+2. **Monitoring and Observability**
+   - Enhanced Grafana dashboards for AI-specific metrics
+   - Custom n8n workflow performance tracking
+   - Service health monitoring improvements
+
+3. **Security Enhancements**
+   - Advanced firewall configuration options
+   - Enhanced credential management
+   - Audit logging capabilities
+
+4. **Community Workflow Management**
+   - Workflow categorization and search improvements
+   - Template validation and quality assurance
+   - Automated workflow testing framework
+
+5. **Documentation and User Experience**
+   - Video tutorials and walkthrough guides
+   - Troubleshooting automation
+   - Performance optimization guides
+
+## Next Steps
+The project is ready for mode transitions based on user requirements:
+- **PLAN**: For planning new features or major enhancements
+- **CREATIVE**: For designing new components or architectural improvements
+- **IMPLEMENT**: For direct implementation of specific features or fixes
+- **QA**: For validation, testing, and quality assurance work
+
+## Task Tracking Template
+```
+### Task: [Task Name]
+- **Type**: [Level 1-4 / Bug Fix / Enhancement / Feature]
+- **Priority**: [High / Medium / Low]
+- **Status**: [Planning / In Progress / Testing / Complete]
+- **Components**: [List of affected components]
+- **Checklist**:
+  - [ ] Task item 1
+  - [ ] Task item 2
+  - [ ] Task item 3
+```
+
+*This file will be updated with specific task details when active development begins.*

memory-bank/techContext.md

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+# n8n-installer Technical Context
+
+## Technology Stack
+
+### Core Infrastructure
+- **Docker Compose**: Service orchestration and container management
+- **Caddy Server**: HTTP/2 web server with automatic HTTPS
+- **PostgreSQL**: Primary database for n8n and optional services
+- **Redis**: Caching layer and n8n queue management
+
+### Programming Languages
+- **Shell Scripts**: Primary automation and installation logic
+- **Python**: Utility scripts (n8n_pipe.py, start_services.py)
+- **JavaScript/Node.js**: n8n workflows and custom code nodes
+- **JSON**: Configuration and workflow definitions
+
+### Service Architecture
+- **n8n Platform**: Queue mode with worker scaling
+- **Microservices**: Each tool runs as isolated Docker container
+- **Reverse Proxy**: Caddy handles SSL termination and routing
+- **Database Layer**: Postgres with optional vector capabilities
+
+### AI/ML Integration
+- **Vector Stores**: Qdrant, Supabase pgvector, Weaviate
+- **LLM Hosting**: Ollama for local models
+- **AI Frameworks**: Support for OpenAI, Anthropic, Gemini, Claude
+- **Agent Platforms**: Flowise, Letta, n8n AI nodes
+
+### Development Tools
+- **Monitoring**: Prometheus metrics collection, Grafana visualization
+- **Debugging**: Langfuse for AI performance tracking
+- **Search**: SearXNG for private web search
+- **Crawling**: Crawl4ai for web data extraction
+
+### Security & Networking
+- **SSL/TLS**: Automatic certificate management via Let's Encrypt
+- **Domain Routing**: Wildcard subdomain configuration
+- **Firewall**: Basic security enhancements during installation
+- **Authentication**: Service-specific login systems
+
+### File Structure
+```
+n8n-installer/
+├── scripts/           # Installation and maintenance scripts
+├── n8n/              # n8n configuration and backups
+├── flowise/          # Flowise custom tools and workflows
+├── grafana/          # Monitoring dashboards and configuration
+├── prometheus/       # Metrics collection configuration
+├── caddy-addon/      # Additional Caddy configurations
+├── searxng/          # Search engine settings
+└── docker-compose.yml # Main orchestration file
+```
+
+### Configuration Management
+- **Environment Variables**: `.env` file for secrets and settings
+- **Service Discovery**: Docker network with named containers
+- **Volume Management**: Persistent data storage configuration
+- **Port Mapping**: Internal service communication patterns
+
+### Development Libraries (Pre-installed in n8n)
+- **cheerio**: HTML/XML parsing and manipulation
+- **axios**: HTTP client for API requests
+- **moment**: Date/time manipulation
+- **lodash**: Utility functions for JavaScript
+
+### Deployment Pipeline
+1. **System Preparation**: Updates, firewall, security enhancements
+2. **Docker Installation**: Container runtime setup
+3. **Secret Generation**: Secure password and key creation
+4. **Interactive Wizard**: Service selection and configuration
+5. **Service Launch**: Orchestrated container startup
+6. **Health Verification**: Service availability confirmation
+
+### Update Mechanism
+- **Git-based Updates**: Fetch latest installer changes
+- **Image Updates**: Pull newest Docker images
+- **Service Restart**: Coordinated rolling updates
+- **Backup Integration**: Optional workflow re-import
+
+### Resource Management
+- **Scaling**: Configurable n8n worker count
+- **Memory**: Service-specific memory allocation
+- **Storage**: Volume management for persistent data
+- **Network**: Container-to-container communication
+
+### Integration Points
+- **API Connectivity**: RESTful interfaces between services
+- **Database Sharing**: Common Postgres instance for multiple services
+- **Event Triggers**: Webhook-based workflow activation
+- **File System**: Shared volume for data exchange (`/data/shared`)
+
+### Monitoring & Observability
+- **Metrics**: Prometheus data collection
+- **Dashboards**: Grafana visualization panels
+- **Logging**: Container-level log aggregation
+- **Health Checks**: Service availability monitoring
+- **Performance**: AI model execution tracking via Langfuse