Stopping runaway AI agent loops at the Linux kernel layer with eBPF and Go

Hey everyone,

If you’ve been building or deploying automated AI agents recently (using frameworks like CrewAI, Autogen, LangChain, or custom background LLM loops), you’ve probably experienced some version of the "infinite loop trap".

A few weeks ago, an unhandled formatting exception threw one of our background agent scripts into a tight infinite loop. It sat there spamming identical prompt contexts and API requests over and over again.

By the time we caught it, it had completely pinned the host CPU, locked up our local staging infrastructure, and racked up a massive cloud API bill. Standard APM tools and infrastructure monitors poll metrics every 10 to 30 seconds. That is an eternity when a rogue process is actively hemorrhaging API credits or stalling a compute node.

We needed something that could intercept and mitigate this instantly at the lowest level possible.So, I built KernelCap. It’s an open-source, ultra-low-overhead background daemon written in Go that hooks directly into the Linux kernel to catch and freeze rogue AI workloads before they tank your systems or your wallet.