Agentic AI architecture patterns for production systems

Agentic AI architecture refers to systems that autonomously plan, reason, remember, and execute actions in a goal-directed manner, differing from static prompt-response setups by incorporating continuous loops to achieve objectives. Key architectural patterns include single-agent, plan-and-execute, orchestrator-worker, hierarchical multi-agent, and reflection architectures, each suited to varying complexities and coordination needs. The data layer supporting these architectures is critical, requiring capabilities such as tiered memory, fast vector search, semantic caching, real-time coordination, and durable state to ensure efficient operation. Redis offers a unified platform for these needs, providing memory consolidation, vector retrieval, semantic caching, and coordination with low-latency integrations, aiming to streamline agentic workloads by reducing reliance on multiple disparate systems.