SAGE
Grounds AI in mathematical truth by enabling large language models to formulate, solve, and certify mathematical optimization problems.
Grounds AI in mathematical truth by enabling large language models to formulate, solve, and certify mathematical optimization problems.
SAGE addresses the inherent limitations of Large Language Models (LLMs) in mathematical optimization by integrating them with production-grade open-source solvers. It acts as a local server that empowers MCP-compatible agents, like Claude Desktop, to move beyond probabilistic text generation to mathematically certified solutions for complex tasks such as budget allocation, scheduling, and portfolio optimization. This hybrid architecture leverages LLMs for language and ambiguity while relying on solvers for optimality and feasibility, including critical infeasibility declarations. SAGE's iterative and stateful runtime enables asynchronous solves, problem decomposition, and progress checkpointing, transforming AI's decision-making from immediate approximations to sustained and mathematically grounded outcomes.