We are seeing a recurring OpenClaw agent workflow issue: after accepting a multi-step task, the agent loses its next-action model. It remembers context but does not maintain objective → current state → next step → completion criteria.
This is not just token compaction or memory recall. The agent often has the required tool output, but hands control back to the user instead of continuing or naming a blocker.
We documented examples in issue #79809. Is the intended solution TaskFlow, standing orders, cron, or an upcoming self-elected continuation feature? What is the recommended OpenClaw pattern for persistent next-action workflow state?