Biomimetic Physics Engine for Cognitive Architectures
Project description
Shunollo - The Biomimetic Physics Engine
A Universal Physics Engine for Cognitive Architectures
Shunollo provides a pure, agnostic physics layer for translating any data stream into sensory qualia - enabling AI systems to "feel" their environment through entropy, roughness, viscosity, and other universal metrics.
[!IMPORTANT] Status: Production Ready
- Physics: Verified ($E=mv^{1.5}$)
- Neuroscience: Verified (Homeostatic Plasticity)
- Ethics: Verified (Safety Governor)
- Security: Hardened (No Pickle, Numpy only)
100% Open Source
Shunollo is fully open source under the Apache 2.0 license. There is no "Enterprise Edition" or paid tier of the library itself. You get everything.
Build whatever you want. That's why we made this.
Architecture
shunollo/
├── shunollo_core/ # Pure Physics (Math only, zero dependencies)
└── shunollo_runtime/ # Nervous System (Redis, Agents, Thalamus)
graph LR
subgraph Shunollo Core
A[Physics Engine] --> B[Somatic Vector]
end
subgraph Shunollo Runtime
B --> C((Thalamus Bus))
C --> D[Neural Cortex]
C --> E[Reflex Agent]
end
D & E --> F[Decision]
Installation
pip install shunollo
Quick Start
from shunollo_core.physics import calculate_entropy, calculate_roughness
from shunollo_runtime import RedisThalamus, BaseAgent
# Pure physics calculation
entropy = calculate_entropy(data)
roughness = calculate_roughness(entropy, jitter=0.1)
# Distributed agent
class MyAgent(BaseAgent):
def analyze(self, stimulus):
return {"roughness": calculate_roughness(stimulus["entropy"])}
License
Apache 2.0 - See LICENSE
Documentation
- THE_SHUNOLLO_CODEX.md - Philosophy & Vision
- docs/EXAMPLES.md - 4 Real-World Examples (Finance, Health, IoT, DevOps)
- docs/whitepapers/ - Physics Theory
- docs/technical/SENSORY_LEXICON.md - Sensory Vocabulary
Community
- 📖 Roadmap - See what's coming
- 🐛 Issue Tracker - Report bugs
- 💬 Discussions - Ask questions
Contributing
We welcome research contributions. Please see CONTRIBUTING.md for architectural rules and setup instructions.
Note: By contributing, you agree to our Contributor License Agreement.
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