Open curriculum for Active Inference education, K-12 through PhD, with 14 level-adapted courses on a shared Free Energy Principle spine plus a Python publishing engine and YouTube transcript archive.
Self-paced "adventure mode" curriculum connecting Active Inference and Category Theory, for exploring category-theoretic tools used in active-inference research.
AI-powered system for generating personalized Active Inference and Free Energy Principle curricula, combining live research (Perplexity) with content generation (OpenRouter), multilingual support, and rich visualizations
Deterministically translates Python, JavaScript, and TypeScript codebases into Active Inference GNN (Generalized Notation Notation) state-space models, with a reverse synthesizer that reconstructs runnable code from a GNN bundle.
A high-integrity micro-learning platform for Active Inference and the Free Energy Principle: a validated prerequisite graph whose every quantitative claim is produced by a tested kernel, exported to SkillTree. DOI: 10.5281/zenodo.21865644