triple-loop-learning
Dependencies
This skill requires Python 3.8+ and standard library only.
Evaluation gate: NOT included in this primitive. The calling system (e.g., agent-agentic-os os-improvement-loop) is responsible for wrapping this skill with an eval gate and experiment log.
Triple-Loop Learning (Meta-Learning System)
This skill defines the orchestration pattern for the Triple-Loop Architecture. Pattern 5 is a robust, autonomous feedback loop where an independent Meta-Learning Orchestrator governs a long-horizon pipeline of execution, planning, and tactical problem-solving.
This architecture is entirely framework-agnostic. While originally developed for agent-agentic-os, it models the core loop defined by Meta-Harness research where autonomous systems evolve their own operating instructions based strictly on headless evaluators.