How do you ensure accuracy and trust in AI agents' memory management?

In the realm of AI development, especially with large language models (LLMs), maintaining trust and accuracy in memory management is crucial. Many developers face challenges with LLMs when it comes to verifying information and ensuring that agents can reliably state their evidence or reasoning. A recent project, Cruxible, aims to address these issues by providing a governed state layer that allows human and AI teams to collaborate on maintaining a consistent truth model. This approach emphasizes deterministic state building and governance review processes. What strategies or tools do you use to ensure that your AI agents maintain accuracy and trustworthiness in their memory management?