Redis Iris: AI Context Engine for Enterprise Data

Redis is launching Iris, a new Context Engine designed to make enterprise data usable for AI agents. This development shows Redis is fully embracing AI. Iris provides a single context and memory layer. It helps AI agents handle complex, multi-step requests by offering three core components: Redis Context Retriever, Redis Agent Memory, and Redis Data Integration. These tools help agents operate effectively, especially when they need to refresh past activity. The CEO notes that as large language models have improved, agents now need tools to figure out what data they need, rather than being pre-filled with context. Great context, according to the CEO, is dynamically navigable, has semantic definitions, improves over time, and is always up to date. This means businesses can give their AI agents the precise data they need to function intelligently and efficiently.