title: "Le harness comme gestionnaire de contexte"

AI agents require a "harness" to function as a distributed context management system for performing complex, multi-step tasks. This system maintains the agent's state and memory over long periods, much like an operating system manages processes for a CPU. The harness is responsible for orchestrating agent workflows, handling state persistence, managing tool interactions, and ensuring reliability. This infrastructure is becoming essential as AI evolves from simple single-prompt models to sophisticated agents capable of autonomous, long-running work.