86.5% accuracy. ~$0.07 per session. See how Redis stacks up in the Agent Memory Benchmark.

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Redis IrisRedis Iris
Platform
Platform
Redis IrisReal-time context for agents Redis LangCacheSave on tokens for common questionsRedis Context RetrieverLeverage context from anywhereRedis Agent MemoryAgentic memory for consistent experiencesRedis Data IntegrationCDC across your structured data Redis FlexMore data, more speed, less costCachingSub-ms read/write at scaleStreamingEvent-driven messaging & data pipelinesSession managementFast, persistent storage for sessions SearchSearch & query for structured dataFeature storeReal-time ML feature pipeline for apps & agents
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Deploy
Redis CloudFully managed, fully flexibleRedis SoftwareOn-premRedis open source frameworkRedis 8.8PricingLet’s talk numbersRedis on AWSBuy with cloud commitsAzure Managed RedisMicrosoft-supported RedisRedis on Google CloudRedis from the marketplace
Tools
Redis InsightUI to visualize, query, & debugRIOTGet data into Redis from anywhereClient librariesPython, Node, Java, Go, .Net, & moreSDKsConnect Redis to your apps
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AI & ML Apps
Scale agent & agentic systems Everything you need to be successful RAGUnderstand how Redis powers RAGSemantic searchRight answers, right nowMLLeverage your features, fastToken optimizationAll the AI without all the costAI cost optimizationControl AI costs without compromise
Core Workloads
Fraud detectionStop fraud, protect customersReal-time decisionsAct on data in real timeCaching & performanceOur bread & butter Real-time messagingStreams at the speed of thoughtSession managementConsistent experiences everywhereLeaderboardsKnow who’s winning
Industries
Financial servicesE-commerce & retailGamingHealthcareTelco
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Samuel Shen, Software Engineer, Tensormesh

Blog Posts

Samuel Shen

Software Engineer, Tensormesh

  • Throughput-optimizing Redis for L2 KV Cache Reuse
    Samuel Shen, Software Engineer, Tensormesh
    Paulo Sousa
    Srijith Rajamohan
    Tech
    Mar 30,2026