Author

Duncan Cambridge

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Preprint Aug 2026

Agent Gym: A Framework for Continuous Evaluation and Evolution of LLM Agents Through Human-in-the-Loop Feedback

Agent Gym is introduced, a modular, domain-agnostic framework that wraps any existing LLM-based agent in a continuous evaluation-and-evolution loop and introduces the Spec-to-Note Gap, an autoencoder-inspired view of agentic system transparency.

Pouya Ghiasnezhad Omran, Michael Zimmermann, Duncan Cambridge et al. · 0 citations