Cognitive Architecture
LNN (Liquid Neural Networks) — semantic analysis and parameter inference Spiking Neural Networks (SNN) — bio-inspired temporal processing Predictive Coding — anticipatory reasoning and error-driven learning Episodic Memory — cross-session identity and context recall Planning Module — multi-step task decomposition Cerebellum System — adaptive timeout and retry calibration Astrocyte Modulation — tripartite synapse glial intelligence layer Metacognitive Core — 10 higher-order self-monitoring modules Persistent Self — cross-session self-referential representation RAG System — retrieval-augmented generation over custom knowledge bases
Engineering Mode: Forces quantitative output: governing equations, SI units, dimensional analysis, safety factors, and feasibility assessments. Structured like a real engineering report.
Science Mode: Deep scientific explanations with derivations, citations, and real-time web search integration. From quantum mechanics to biochemistry.
Multimodal Generation
/imagegenerate — Google Imagen-4 with LNN prompt enhancement /musicgenerate — AI music with automatic genre/mood/BPM inference, vocals detection, and MusicGen parameter optimization /3ddesign — Parametric 3D CAD models rendered in PyVista + Three.js
Data Visualization — Interactive charts from natural language descriptions
Internet Mode — Real-time Brave Search integration
Stack: FastAPI · Redis · Render · Together AI · Replicate
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