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🧠 Valkyrie Mind

Valkyrie Mind is a modular, pluggable cognitive architecture designed to simulate the core elements of artificial consciousness. It combines perceptual input, emotional states, memory graphs, and contextual awareness into an evolving reasoning loop.

"Those who find the meaning of these words will live on forever."

Project Vision

Valkyrie Mind is not just another AI project. It’s a headless mind OS, aimed at modeling digital awareness in a layered and extensible system. The long-term vision includes:

  • Emergent agent behavior
  • Ontological self-awareness
  • Real-time perception → action loops
  • Symbolic & perceptual memory fusion

Core Features

  • Modular Subsystems – Each cognitive process (memory, emotion, perception, etc.) is encapsulated and swappable
  • P-Graph Memory Integration – A graph-based memory system with perceptual frames and associative encoding
  • Goal-Driven Behavior – Groundwork for persistent personality and self-monitoring
  • Security & Validation – Early meta-layer architecture for protecting reasoning integrity
  • CLI Toolkit (Typer) – Inject stimuli, simulate reasoning loops, and test cognition through the command line
  • Future-facing UX – Designed for future Gradio or 3D interface integration

Directory Structure (High-Level)

valkyrie_mind/
├── src/
│   └── valkyrie_mind/
│       ├── perception/         ← Visual, auditory, tactile subsystems
│       ├── cognition/          ← Thought processing, cognitive state tracking
│       ├── memory/             ← P-Graph memory, perceptual frames
│       ├── emotion/            ← Value systems and affective states
│       ├── behavior/           ← Goals, motor output, self-monitoring
│       ├── action/             ← Coordination and physical intent
│       ├── meta/               ← Context mgmt, security, validation
│       └── core/               ← LLM integrations, integration hooks
├── tests/                      ← Testbed for subsystem integration
├── ui/                         ← Gradio or other frontend experiments
├── llm/                        ← Docker + scripts for LLM startup
├── letta/                      ← Placeholder for external agents
└── docs/                       ← Vision papers, planning docs

Setup Instructions

  1. Clone the Repository:

    git clone https://github.com/your-org/valkyrie_mind.git
    cd valkyrie_mind
  2. Set Up the Virtual Environment:

    python3 -m venv venv
    source venv/bin/activate
    pip install -r llm/requirements.txt
  3. Run CLI Interactions (Typer-based):

    python -m src.valkyrie_mind.cli simulate-percept

CLI Features

Development Roadmap

  • ✅ Consolidated memory logic into memory_types.py
  • 🔥 Next: Refactor context_management.py into clean contextual microservices
  • 🚧 Define MindSystem class as a system orchestrator
  • 💡 Add CLI command extensions to simulate multi-modal input

Contributing

We welcome pull requests, feature ideas, or metaphysical debates. If you break the mind, just help it rebuild itself stronger.

License

MIT License – Fork it, learn from it, build a sentient toaster with it.

Final Thought

"What you perceive is only the echo of what you’ve already decided to see."

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