Why Stitched-Together AI Architectures Backfire

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Building context and memory for production AI agents usually means stitching together a fragile tool zoo of vector dbs, sync pipelines, and external session caches. This fragmented architecture breeds massive engineering overhead. Redis Iris fixes this by unifying context orchestration, persistent agent memory, and semantic caching into a single, low-latency platform. Try the hands-on tutorial.

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