DeepMind researchers have introduced a new agentic framework called Talker-Reasoner, which is inspired by the “two systems” model of human cognition. The framework divides the AI agent into two distinct modules, VentureBeat reports: the Talker, which handles real-time interactions with the user and the environment, and the Reasoner, which performs complex reasoning and planning. The two modules interact primarily through a shared memory system, allowing the Talker to maintain a continuous flow of conversation while the Reasoner carries out its more time-consuming computations in the background. The researchers tested their framework in a sleep coaching application, where the AI coach provides personalized guidance and support for improving sleep habits.