Your Agents Need a Save Button - Hamza Tahir, ZenML
AI agents lack persistent state checkpoints, making debugging and replay impossible today.
“all of that is lost and it is only stamped as a read-only trace by the end, which is sitting in another tool far away from where the actual code is.”
ZenML's Hamza Tahir identifies a critical gap in agent infrastructure: current observability tools emit read-only traces that are disconnected from the runtime state, meaning variables, file system state, and decision context are lost after execution. He proposes a 'save button' paradigm via durable runtimes that capture full execution state, enabling replay and what-if analysis such as model swapping or tool mocking. An emerging category of tooling sits atop existing agent frameworks to provide this durable runtime layer.