97% believe in it. 4% have built it. New research: State of context engineering.

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Redis Iris: The context layer agents are missing

If you're shipping agents at runtime, you'll want to see this.

Agents fail because data spread across countless systems is fragmented, stale, slow, and difficult to navigate. The results are inaccurate answers, slow performance, and frustrated users.

If you’re one of the millions of engineers already shipping on Redis or building with one of the 43% of agent stacks running on Redis, this one's for you.

Learn more about Redis Iris

25 minutes
What you'll see:
  • No slides, no decks, no roadmap walkthroughs. Get the end-to-end experience working on real data. Just the way your agents will run it.
  • Runtime context at scale. How Redis solves the hardest memory problem in AI agents. Navigable, fresh, compounding, and fast.
  • A stack you already have: If you're already running Redis, you're closer than you think.

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