Redis Iris context engine

Deploy and operate Redis Iris context engine services.

Redis Iris context engine provides managed and self-managed services for building AI applications with persistent memory, semantic caching, and governed access to business data.

Use this section to deploy, configure, and operate Redis Iris services. Developer guides and API integration documentation remain under Develop with Redis.

Redis Agent Memory

Create and manage a service on Redis Cloud or deploy it on your own infrastructure

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Redis Context Retriever

Create and manage governed retrieval tools for AI agents

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Deployment options

Redis Iris services are available as managed services on Redis Cloud. All Redis Iris services are also available for self-managed deployment.

Redis Cloud

Create and manage Redis Iris services through the Redis Cloud console without deploying the supporting infrastructure yourself.

• Create a Redis Agent Memory service
• Create a Redis Context Retriever service

Self-managed

Deploy Redis Iris services on Kubernetes when you need to operate them on your own infrastructure.

• Self-managed Redis Agent Memory
• Self-managed Redis Context Retriever