During April 2026, Neric Ervin enhanced the NousResearch/hermes-agent repository by developing robust attachment processing for Mattermost integration. He implemented MIME-based media type detection in Python, enabling precise classification of message attachments as PHOTO, VOICE, or DOCUMENT, rather than defaulting to a single type. This backend development improved data accuracy and streamlined message handling, ensuring that agents are consistently notified of relevant attachment events. By automating attachment recognition and reducing manual intervention, Neric’s work led to cleaner downstream processing and faster decision-making. The solution demonstrated strong API integration skills and delivered maintainable, well-documented code with clear commit ownership.