Worked on the NousResearch/hermes-agent repository to enhance holographic memory prompt handling and trust score display using Python for backend development. Focused on improving the rendering of memory prompts when no facts are stored, ensuring that trust scores are accurately retrieved and displayed even in empty memory scenarios. Addressed a critical reliability gap by fixing a rendering bug, which preserved both prompt and trust score display across edge cases. This work improved user guidance by providing accurate trust indicators and reducing confusion in situations where memory is missing, laying the groundwork for future enhancements in prompt fidelity and trust score management.