LangChain's Deep Agents address context rot by managing agent context windows

LangChain released Deep Agents, an open-source harness that uses middleware to manage context rot—the degradation of model accuracy due to excessive context in long agent tasks. Techniques include offloading large tool results to the filesystem, summarizing older messages, using skills for relevant task know-how, employing subagents for noisy work, and implementing long-term memory storage, ensuring the main agent only carries necessary information.