This paper proposes a new AI architecture called Cognitive Field Network (CFN), a recurrent Transformer model that generates a persistent cognitive field through collective dynamics, allowing for history-dependent recurrent dynamics and semantic continuation. This could be relevant to people building or operating AI agents as it provides a new approach to persistent cognition.