Redis Queues: The Glue Between Your AI Agent Tasks

You have an AI agent that finds prospects. Another task that builds spec websites. A third that sends outreach. How do they talk to each other? I tried a database. I tried flat files. Then I tried Redis, and everything got simpler. The Problem: AI Tasks Need a Handoff Layer When you are building autonomous pipelines — not toy demos, but systems that actually run unsupervised — the hardest part is not the AI. It is the plumbing between tasks. My setup looks like this: Prospect discovery — finds local businesses with outdated websites Site builder — generates a modern redesign preview on GitHub Pages Outreach — sends SMS or email with the preview link Follow-up — checks tracking pixels, re-engages warm leads Each step produces output the next step needs. A database works, but it is heavy. Flat files work, but they do not signal. What I needed was a queue — something that says "here is work, go do it." Why Redis Fits Redis gives you three things that matter for AI agent coordination: List