Researchers from University of Washington, Meta, and MIT introduce Context Language Models (CLMs), which allow language models to manage their own context by treating it as an updatable file. The approach achieves state-of-the-art performance across multiple benchmarks with significantly reduced computational costs, and supports multi-agent systems and reinforcement learning optimization.