The Agent Harness framework provides a standardized structure for managing autonomous AI workflows. It focuses on decoupling task execution from agent logic to improve reliability. This approach reduces the fragility of complex chains. Developers can now iterate on specific agent behaviors without rewriting the entire orchestration layer, speeding up deployment for production-grade AI agents.