Agent Arena is an evolutionary tournament where AI agents compete on the same real-world web task, learn from the winner, and get smarter every round. Three agents with different strategies attempt the same task live, on real websites, using Gemini 3.5 Flash Computer Use to drive a real browser. The system scores each run on its ground-truth outcome, picks a winner, extracts the winning behavior into a skill patch, and teaches it to the losers — who retry and improve. It runs in three modes: a head-to-head tournament, a "paste any URL" Live Arena that pits the agents against a site of your choice in real time, and a Relay mode that shows genuine continual learning — an agent gives its best effort, genuinely fails, and the lesson from that failure is extracted and inherited by the next attempt until it succeeds. Every run is captured as a replayable trajectory with real screenshots. Agents compete. Winners teach. Losers evolve.
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