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Webcmd is a self-learning browser infrastructure for AI agents that learns website navigational contexts to reduce token spend and improve automation reliability.
WebCMD provides memory for browser agents like Chrome, saving site paths to avoid repeating mistakes and reducing token waste. It was tested on Reddit and ranked as the most accurate and cheapest per task in BU Bench V1.
Webcmd is an open-source tool that teaches browser agents to learn site navigation once and reuse it, dramatically reducing token waste on repetitive tasks. It supports 99 sites and runs locally.