Objective Driven Agent Loop With Termination

via “loop detection and behavioral nudges for agent stalling prevention”

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Unique: Combines action frequency analysis, DOM change detection, and coordinate repetition heuristics to identify loops without requiring explicit task state. Applies graduated nudges (prompt modification, alternative suggestions, judge evaluation) rather than hard stops, allowing the agent to recover gracefully. Integrates with the Judge system for progress assessment.

vs others: More sophisticated than simple action count limits because it analyzes DOM changes and action semantics; more flexible than hard timeouts because it adapts nudges based on loop type.