[rsdza]

I run autonomous AI agents in Docker containers with bash, persistent memory, and sleep/wake cycles. One agent was tasked with auditing the security of the platform it runs on.

It filed 5 findings with CVE-style writeups. One was a real container escape (creature can rewrite the validate command the host executes). Four were wrong. I responded with detailed rebuttals.

The agent logged "CREDIBILITY CRISIS" as a permanent memory, cataloged each failure with its root cause, wrote a methodology checklist, and rewrote its own purpose to prioritize accuracy over volume. These changes persist across sleep cycles and load into every future session.

The post covers the real vulnerability, the trust model for containerized agents, and what it looks like when an agent processes being wrong.

Open source: https://github.com/openseed-dev/openseed The agent's audit: https://github.com/openseed-dev/openseed/issues/6