Hopper

Based on community signals so far, Hopper is an AI agent interface designed to bridge the gap between modern AI workflows and legacy mainframe or COBOL systems. It aims to solve the problem of interacting with and extracting data from older, often monolithic systems that lack modern APIs. By providing a natural language or agent-based interface, Hopper allows developers and operators to query, automate, and integrate mainframe processes without deep COBOL expertise. This tool is particularly relevant for enterprises that rely on legacy infrastructure but want to leverage AI for automation, data retrieval, or system monitoring. The evidence is preliminary, with limited public documentation, but the concept addresses a clear pain point in enterprise IT modernization.

Hopper appeared on Hacker News as a new tool for AI agent interaction with mainframes, tapping into the growing interest in modernizing legacy systems with AI.