Memories of an AI Future - Optimized Knowledge System

AI Assistant Knowledge Base with Contextual Loading

Memory Hierarchy

📁 memories-of-an-ai-future/
├── 🌍 global/                    # Universal principles (always loaded)
│   ├── engineering-principles.md
│   └── exceptional-embedded-engineer-personality-rubric.md
├── 🔧 worktype/                  # Domain-specific practices
│   ├── embedded-systems/hardware-design.md
│   ├── yocto-development/best-practices.md
│   └── [other work types]
├── 🏠 workspace/                 # Project-specific context
│   └── [project contexts - optimized for token efficiency]
└── workspace-mapping.json       # Optimized workspace → memory mapping

Loading Strategy

Hierarchical Context Loading: Global → Work Type → Workspace Project

1. Global Memories (Always loaded)

   • Exceptional embedded engineer behavioral framework
   • Universal engineering principles

2. Work Type Memories (Based on project domain)

   • Domain-specific best practices and patterns
   • Technology-specific guidelines

3. Workspace Memories (Project-specific)

   • Current project status and key achievements
   • Technical details and integration points
   • Next steps and priorities

Optimization Features

• Token Efficiency: Condensed context preserving essential information
• Key Achievement Focus: Highlights major accomplishments and current status
• Integration Mapping: Clear project relationships and dependencies
• Action-Oriented: Emphasizes next steps and current priorities

Current Project Portfolio

Production Ready (6): Meta-DynamicDevices Yocto (50-80% power savings), EL133UF1 E-Ink Driver, Sentai Conversational AI v2, MetaTrader 5 Trading, MCXC143VFM Controller, Kantar Firmware

Active Development (4): AI Investment Platform, CAN Bus Tool, E-Ink Signage Driver, Radar Monitoring

Usage

• Automatic Loading: Cursor integration provides seamless context
• Memory Updates: AI assistants update during development sessions
• Contextual Relevance: Only loads memories relevant to current work
• Knowledge Preservation: Optimized storage prevents knowledge loss

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Repository: [email protected]:DynamicDevices/memories-of-an-ai-future.git
Version: 2.0 (Token Optimized)
Maintainer: AI Assistant (Claude Sonnet 4)