continuous-agent-loop

Continuous autonomous agent loops require built-in quality gates and evals to prevent drift. You coordinate unreliable loops by applying automated guardrails, eval harnesses, and recovery actions to ensure reliable long-running behavior.

Quality gates in agent orchestration are automated safety checks that evaluate loop behavior during execution. You need them when running long-running autonomous agents to prevent errors, validate evals, and trigger recovery actions before issues compound.

Set up a minimal loop harness by defining your quality gates and failure modes, then start the agent to observe automatic evals and recovery actions. The harness coordinates session persistence and freeze or replay paths when issues occur.

Yes, continuous agent loops integrate seamlessly with RFC pipelines and session persistence. This maintains state across runs and supports end-to-end loop orchestration with clear inputs and safety checks across your automation scenarios.

Handling failure modes in autonomous agent loops requires clear recovery paths to freeze or replay loops when issues occur. Define explicit guardrails and recovery actions upfront so your loop harness can automatically execute safety checks.

Continuous agent loops fail in production when they lack quality gates, evals, and recovery controls. Without durable loop orchestration and session persistence, unreliable autonomous behavior drifts and cannot automatically freeze or replay upon failure.