A new research proposal suggests implementing a persistent global workspace for LLMs to improve coherence. This architecture mimics human cognitive functions by centralizing information across different processing modules. It aims to solve fragmented memory issues in long-context windows. Developers can use this to build more stable, multi-step reasoning systems.