Getting agents to actually work in production and at scale

To an AI agent, the real world is messy. Humans don’t follow scripts, inputs can seem random, and every channel, agent communication, and handoff is another place for failure. So while AI is commonplace now, the gap to AI delivering real value is still a work in progress. Join us to learn how you can give your agents the right context at the right time, memory you control, and a clear trail from every outcome back to its source. In the meantime, take a deep dive and read The next chapter of Redis Iris: what agents need to work in the real world.

• Meet six new Redis Iris capabilities. See how retrieval, memory, routing, and messaging can improve your agent stack.
• Give agents the right context, with less custom glue. Discover routing by intent, reusable playbooks, and a single entry point for context.
• Give agents memory you can govern. Control what agents remember and what they forget.
• Make failures easier to trace and recover from. Explore visibility into agent decisions and messaging that survives dropped connections, on infrastructure your ops team already knows.