# Redis Iris context engine

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Give your AI agents the context layer they need to reliably act on business data.

Redis Iris eliminates the infrastructure burden of building context-aware AI agents: persistent memory, semantic caching, governed data access, and live data sync, fully managed on Redis Cloud or self-managed on your own infrastructure.

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## What is Redis Iris?

Redis Iris is a production-ready context engine for AI agents that:

- **Reduces LLM costs**: Semantic caching returns cached responses for similar queries in milliseconds
- **Adds persistent memory**: Agents remember past interactions and user preferences across sessions
- **Structures business data access**: Context Retriever generates governed tools agents can safely call at runtime
- **Keeps data fresh**: Data Integration streams live changes from relational databases into Redis within seconds
- **Deploys your way**: All four services are available fully managed on Redis Cloud or self-managed on your own infrastructure, via REST API

## Why use Redis Iris?

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    <h3 class="text-redis-ink-900 font-semibold mb-3">For AI applications</h3>
    <ul class="space-y-1 text-redis-pen-600">
      <li>Agents that remember context across sessions and users</li>
      <li>Faster responses and lower costs through semantic caching</li>
      <li>Reliable, structured access to live business data</li>
      <li>No stale data: near real-time sync from your source databases</li>
    </ul>
  </div>
  <div class="p-5 border border-redis-pen-300 rounded-lg">
    <h3 class="text-redis-ink-900 font-semibold mb-3">For developers</h3>
    <ul class="space-y-1 text-redis-pen-600">
      <li>Four services, fully managed on Redis Cloud or self-managed on your own infrastructure</li>
      <li>Python and JavaScript SDKs and REST APIs for all services</li>
      <li>Define your data model once, reuse it across all agents</li>
      <li>No database setup required on Redis Cloud</li>
    </ul>
  </div>
</div>

## Next steps

Learn [how Redis Iris works](https://redis.io/docs/latest/develop/ai/context-engine/concepts), from the agent request to where each kind of context lives.