{
"title": "Redis Brings Agentic Memory to Azure Managed Redis at Microsoft Build 2026",
"content": "Redis is embedding agentic memory directly into Azure Managed Redis, arming developers with a real-time data layer purpose-built for the coming wave of autonomous AI agents. The company confirmed it will showcase the new capabilities at Microsoft Build 2026, held at the Seattle Convention Center from May 19-22. At the same event, Redis plans to highlight its selection for Redpoint’s AI Infrastructure 50, a ranking that spotlights private companies shaping the AI stack.

Agentic memory—the ability for AI agents to remember past interactions, user preferences, and tool outputs across long-running tasks—has emerged as a critical missing piece for enterprise AI deployment. Standard large language models (LLMs) are stateless by design, resetting their context window after each exchange unless developers manually pipe in extensive history. Redis aims to fill that gap by extending its in-memory data store with vector search, semantic caching, and hybrid query capabilities, all accessible through a few lines of code in Azure Managed Redis.

Why agentic memory matters now

The move comes as enterprises building AI agents report that memory and context management are their most persistent technical headaches. Without a fast, persistent memory, agents often lose track of user intent mid-conversation, squander expensive LLM calls on repetitive queries, and struggle