Agentic Event-Driven Systems Architecture

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Introduces the concept and architecture of agentic event-driven systems, which are AI-native architectures where software agents continuously sense events, reason over shared state, take actions, and learn from outcomes in real time. This architecture extends traditional event-driven systems by embedding decision intelligence and control loops directly into the event flow, enabling autonomous operation. Key components include an event-driven backbone (e.g., Apache Kafka), stateful stream processing (e.g., Apache Flink), an agent execution layer for reasoning and decision-making, a shared state and context layer, and an orchestration and policy engine. The architecture emphasizes closed-loop control patterns where actions generate outcome events that feed back into the decision process for continuous adaptation and optimization.