From the course: Cloud-Based Agentic AI Design Patterns
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Persistent agent activity state
From the course: Cloud-Based Agentic AI Design Patterns
Persistent agent activity state
- In the Agentic AI Solution Design Patterns course, we cover a pattern called coherent state and collective memory. If you haven't studied this pattern yet, it might be a good idea to do so before proceeding with this video. When agents store and share state data using their local agent memory system and the shared agent memory system, they usually do so by loading state data upon their invocation, and then writing the latest state data just before they terminate. But if an agent instance encounters a failure condition during runtime, its most current state data has not yet been persisted, and therefore would be lost. This makes the recovery of the task the agent instance was performing difficult or even impossible, which can lead to greater failure conditions within the overall system. The persistent agent activity state pattern is applied to address this specific problem. It introduces a durable, external, high-performance storage location that the agent instance periodically…
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