A collection of various reinforcement learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
Host-agnostic team memory engine with neuroscience-inspired plasticity.
Agentic Quality Engineering V3 - Domain-Driven Design Architecture with 13 Bounded Contexts, O(log n) coverage analysis, ReasoningBank learning, 60 specialized QE agents, mathematical Coherence verification, deep Claude Flow integration
Agentic-System-Prompt-as-a-Skill (ASPS™) — A lightweight, zero-dependency TypeScript framework for deterministic skill construction in agentic systems.