97% believe in it. 4% have built it. New research: State of context engineering.

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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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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 cost
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
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August 28, 20261 minute read

Security Advisory: CVE-2026-81934

Riaz Lakhani
AnnouncementsBenchmarksCompanyDBaasEngineeringFeaturesGuest BlogsHow To and TutorialsLaunchpadNew Product AnnouncementsNewsPartnersPodcastProduct ReleasesRedis ModulesRedis Open SourceRedis-CloudTechTech DETech Redis ModulesUncategorizedWhite Papers
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The 4 Failure Modes of Agent Context in Production
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Token-budget-aware LLM reasoning: cut costs in 2026
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