continuous-agent-loop

Quality gates for autonomous agents are evaluation harness checks that validate code or decisions across iterations. They prevent silent regressions by running eval cycles and persisting session state before proceeding to the next loop iteration.

You can use continuous-agent-loop for CI or PR-constrained generation workflows. It selects the appropriate loop mode based on strictness levels, applies quality gates, and monitors merge queue stalls to prevent runaway cost and silent regressions.

Autonomous agent loop recovery handles churn, merge queue stalls, and cost drift through a freeze-and-audit procedure. It identifies repeated retries sharing the same root cause and applies replay strategies to resume iteration without losing session state.

The best way to persist session state across sequential agent iterations is integrating session persistence directly into the loop stack. This captures progress at each evaluation cycle, enabling freeze-and-replay recovery when failures occur.