Telos-OS

Telos-OS is an open-source Python framework designed to simplify complex optimization problems by translating them into declarative YAML manifests. Key capabilities include: * Define variables, constraints, and objectives in YAML * Integrates with various MILP solvers for optimal solutions * Actuators for automatically executing decisions across Docker, Kubernetes, or custom stacks * Production-ready templates for diverse industries This framework enables users to tackle real-world challenges without needing an optimization PhD. It provides over 16 templates for applications such as energy dispatch, traffic routing, manufacturing, and portfolio allocation. The declarative approach allows users to focus on what needs to be optimized, not the intricate details of how to solve it. Telos-OS supports plug-and-play actuators that connect to real systems via APIs, databases, or hardware, ensuring decisions are implemented effectively. Its solver-agnostic design allows for flexible swapping of optimization engines—be it LP, MILP, or heuristic solvers—without requiring changes to the manifest or actuators. This versatility makes it ideal for engineering teams, operations managers, and data scientists looking to streamline decision-making and resource allocation in critical systems.