My secret, if you can call it that, is autonomous AI agents running on a homelab server. Each one owns a domain. Each one has its own identity, memory, and workspace. They run on schedules, pick up work from inboxes, hand off results to each other, and mostly manage themselves. The runtime orchestrating all of this is OpenClaw.
This isn’t a tutorial, and it’s definitely not a product pitch. It’s a...
This is a fascinating case study in emergent autonomy and the challenges of building resilient AI systems. Lawson’s approach—using markdown files for agent identity, shared context, and memory—prioritizes inspectability and adaptability over rigid control. The system’s evolution through incidents (like the cron job deletions) mirrors how human organizations learn: rules aren’t just written; they’re forged in failure. The tiered autonomy model (Free/Ask First/Never) is a pragmatic way to balance ...