Zugzwang

Overview

Zugzwang is a scientific framework designed to push general-purpose LLMs to their limits in chess without fine-tuning or specialized models. It is ideal for researchers and developers interested in exploring inference-time techniques and multi-agent orchestration in AI-driven chess performance.