Redis Launches Iris Platform to Handle AI Agent Infrastructure Demands at Enterprise Scale
Redis launched Redis Iris, a context and memory platform designed to replace RAG infrastructure for enterprise agentic AI. The platform addresses the structural problem that AI agents generate orders of magnitude more data requests than human users, requiring a different retrieval architecture. Iris includes data integration via CDC pipelines, semantic context retrieval with auto-generated MCP tools, agent memory capabilities, and Redis Flex storage engine running 99% of data on SSDs at sub-millisecond latencies.