Agents fail in production for reasons that rarely show up in a demo: lost context, duplicated work, runs that die halfway and start over.
The model isn't the problem. The harness is. The agent harness is the engineering layer wrapped around the model: it plans, fans work out, verifies results, checkpoints.
This session is a working tour of the harness's memory surfaces, the places where memory engineering decides whether an agentic application can be trusted with real work. Reliability lives in this layer, and every one of those capabilities resolves to a memory operation.  progress, and decides what enters the context window.