We’d like a concise demo + blog post that readers can clone, run with a single command, and use to see Valkey acting as the messaging and state backbone for an agent‑style workload. The blog should explain the flow, show a Grafana screenshot, and briefly argue why Valkey’s in‑memory speed and simple primitives make it a natural fit for low‑latency, multi‑agent systems.

Technically the demo should exercise core Valkey APIs (sets, streams, json, etc) to save the state and pass data between multiple stages controlled by different agents, report metrics and provide a way to monitor them on the dashboard.

A suitable narrative is a Twitter‑like news pipeline: raw articles flow into a stream, agents classify and enrich them, topic streams fan out the results, and a final stage assembles personalised feed:{uid} lists based on interests stored in JSON.