Developer Builds Replayable AI Courtroom to Trace Agent Decision Influence

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A developer has shared an open-source project called 'AI Courtroom' on GitHub, built as part of the Protolink examples collection. The tool implements a replayable agent-to-agent (A2A) jury system designed to trace how AI agents influence each other's decisions. Users can replay interactions to observe and analyze the decision-making dynamics between multiple agents. The project was posted to Hacker News as a community showcase submission, attracting minimal engagement at the time of publication.

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