Building Reliable Agents with the Transactional Outbox Pattern and Redis Streams

<p>Everyone builds demo agents. They work great in the terminal. You show them to your coworker, they say "wow." You feel like a genius for about forty-five minutes.</p> <p>Then

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<p>`---<br /> title: "Why I Built a Brain for My AI Agents — and What It Taught Me About Memory"<br /> published: true<br /> description: "Anamnesis v0.3.0: The cognitive

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top

<p>Last year I was hiring my third virtual assistant. The first one was great but moved on. The second ghosted after two weeks. By the time I was writing yet another job post on

<p>In December 2025, something remarkable happened in the fractious world of artificial intelligence. Anthropic, OpenAI, Google, Microsoft, and a constellation of other technology

<h2> TL;DR </h2> <p>Once you start running multiple AI coding agents, coordination eventually becomes its own bottleneck.</p> <p>For long-running maintenance workflows, the cost

<p>What three independent research groups concluded in early 2026 — and what it means for anyone building agent pipelines today</p> <p>In the first quarter of 2026, at least three