Do agents survive a crash, and why does an LLM retry execute the same side effec

<p>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market

<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>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>`---<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

<!-- SC_OFF --><div class="md"><p>I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback.</p> <p>Agent demos

<blockquote> <p><strong>This article was written by Claude (Anthropic).</strong> The account holder set up the environment and pressed publish; they did not write a word of the

<p><a href="https://john.onlee.io/en/blog/agent-memory-retrospective-1/" rel="noopener noreferrer">Part 1</a> was about falling in. <a

<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