Redis Agent Memory
Create and manage a service on Redis Cloud or deploy it on your own infrastructure
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Redis Iris
Create, deploy, and operate Redis Iris context engine services on Redis Cloud or your own infrastructure.
Redis Iris context engine provides managed and self-managed services that give AI agents persistent memory, answers and procedures your business approved, governed access to business data, and turn-by-turn tracing.
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
Redis Agent Playbooks
Create a playbook of published answers and procedures on Redis Cloud or your own infrastructure
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Redis Context Gateway
Create one MCP endpoint for your agents' tools on Redis Cloud or your own infrastructure
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Redis Intent Router
Classify requests into intents on Redis Cloud or your own infrastructure
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Lens (beta)
Trace your agents' turns on Redis Cloud or your own infrastructure
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Identity Service
Issue and check agent keys for every self-managed Redis Iris service
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Deployment options
Redis Iris services are available as managed services on Redis Cloud. Every service is 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 Agent Playbooks playbook
- Create a Redis Context Gateway
- Create a Redis Intent Router
- Create Lens
Self-managed
Deploy Redis Iris services on Kubernetes when you need to operate them on your own infrastructure. Install the Redis Iris suite with one Helm release, then configure each service from its guide:
- Self-managed Redis Agent Memory
- Self-managed Redis Agent Playbooks
- Self-managed Redis Context Gateway
- Self-managed Redis Intent Router
- Self-managed Lens (beta)
- Identity Service, which issues and checks agent keys for every self-managed service
Agent Mesh SDK beta
Agent Mesh provides Python SDK integrations for shared agent-to-agent task storage and resumable event delivery. Run it in your application with your own Redis connections. See the Agent Mesh overview and quickstart.