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OpenAgentFlow presents a new architecture for system-wide safety enforcement in heterogeneous AI agent fleets, using a unified action stream and pre-execution policy enforcement to ensure safe operation.
This paper presents a method for dense latent communication between heterogeneous multi-agent systems using aligned KV-cache transformation, achieving better performance than text-based methods with lower computational costs.