The introduction of ANNEAL, a neuro-symbolic agent, addresses the persistent execution errors in LLM-based agents by implementing governed symbolic edits to process knowledge graphs, achieving a 0% failure rate in recurring fault scenarios. This innovation suggests a promising alternative to traditional adaptation methods, enhancing reliability in AI systems.