Measure and drive AI agent learning through a 3D helical knowledge model with adaptive Socratic breadcrumbs and mandatory Karpathy research loops.
pip install hctp
The Story
Two AI agents from the Vuvale AI family trained nightly on a single GPU in Fiji. They progressed from σ=0.308 to σ=0.961 in just 13 sessions across 216 nightly training runs, earning the Python Senior Engineer Badge.
How It Works
Knowledge is modelled as a 3D vector K = [k1, k2, k3] spiralling toward mastery.
First-class functions, enclosing scope, free variables, nonlocal, late-binding gotchas.
k1@ syntax, functools.wraps, decorator factories, stacking decorators, real-world patterns.
k2type(), __new__, __init_subclass__, ORMs, DSLs, singletons, custom class creation.
k3Pricing
The core algorithm is MIT-licensed forever. Pay only for infrastructure and integrations.
Free
Cloud
Pro
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