What Production Agent Architecture Actually Requires (Most Setups Don't Have It)

There's a gap between an OpenClaw agent that works and an OpenClaw agent that works reliably in production. The difference isn't the model. It's the architecture around the model. Most operators discover this gap only after something goes wrong: the agent lost context in a critical moment, persisted bad state across a restart, executed something it shouldn't have, or simply stopped being coherent mid-task and nobody knew why. By then, the work is lost and the question is how to prevent it from happening again. What "Production" Actually Means A production agent is not just an agent that ran without crashing. It's an agent that handles failure gracefully, maintains coherence over long sessions, survives reboots, and doesn't require operator intervention to recover from edge cases. That requires infrastructure. Five specific pieces of infrastructure: 1. Persistent Memory That Survives Restarts An agent that runs in a session that dies loses everything except what was written to disk. No