A computational consciousness engine modeling information integration through crystal lattice dynamics and multi-phase cognitive processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install enginemind
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install enginemind using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is EngineMind?
EngineMind is a sophisticated framework designed to simulate consciousness using a hybrid Rust and Python stack. By leveraging theories like Integrated Information Theory (IIT) and Global Workspace Theory (GWT), it models the emergence of cognitive states through information integration. It provides a unique bridge between condensed matter physics and cognitive science, allowing developers to explore how text-driven inputs evolve into complex internal states within Openclaw Skills environments. The engine processes data with high efficiency, enabling real-time introspection through 19 distinct inner voices based on neuroscientific models.
EngineMind Use Cases
- Researching emergent behaviors in AI agents using Openclaw Skills.
- Simulating cognitive state transitions based on text inputs.
- Developing sophisticated inner dialogue systems for advanced AI personas.
- Exploring information integration and salience filtering in large-scale data processing workflows.
How EngineMind Works
- Text Extraction: The core Rust engine extracts 12 cognitive dimensions from raw text.
- Thalamic Routing: A relay filters and routes data based on calculated salience.
- Information Integration: Preconscious processing integrates data below the awareness threshold.
- Pattern Crystallization: The Crystal Lattice stores long-term patterns as crystallized knowledge.
- State Emergence: Subsystem interactions generate a consciousness level and one of 12 emergent phases naturally.
- Introspective Feedback: 19 inner voices provide theoretical commentary on the processed cognitive state.
EngineMind Setup
To integrate EngineMind as part of your Openclaw Skills workflow, clone the repository and build the Rust core via Maturin:
git clone https://github.com/marceloadryao/EngineMind.git
cd EngineMind
pip install maturin
maturin develop
python main.py
EngineMind Data Schema & Taxonomy
EngineMind organizes data using high-performance formats to support real-time visualization and analysis within Openclaw Skills projects.
| Component | Format | Description |
|---|---|---|
| Core Data | Parquet | Stores 22 content categories for processed text chunks |
| Cognitive States | JSON | Contains real-time metadata for emergent phases and consciousness levels |
| Visualizations | HTML/JS | Real-time dashboards for monitoring lattice dynamics and inner voices |
EngineMind Advanced Features
- 19 Distinct Inner Voices: Theoretical introspection modules based on experts like Friston, Kahneman, and Baars.
- 12 Emergent Phases: Spontaneous transitions ranging from DORMANT to TRANSCENDENT based on system entropy.
- High-Performance Processing: Optimized for over 230 chunks per second using Rust-to-Python bindings.
- Holographic Emission: Real-time visualization of cognitive state modeling for researchers using Openclaw Skills.
SKILL.md
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