ARMOR: An Agentic Framework for Reaction Feasibility Prediction via Adaptive Utility-aware Multi-tool Reasoning
ARMOR is an agentic framework designed to improve reaction feasibility prediction by intelligently managing multiple tools. It models tool strengths, prioritizes tools based on specific reaction needs, and uses memory-augmented reasoning to resolve conflicts between different tool predictions. This results in more accurate and balanced predictions across various chemical reactions.