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AgentZip is presented, the first memory compression system designed specifically for AI-agent sandboxes, which broadens the compression scope to any page with a profitable representation and shifts overhead control from compression-time page selection to restore-time prefetching.
FABO reveals that optimizing routing paths jointly can yield significant wirelength reductions, challenging the conventional sink-local optimization strategies of existing algorithms.
