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As teams increasingly run multiple AI agents simultaneously, Agent Cat addresses the critical need for unified monitoring and cost transparency without compromising privacy. By implementing a local daemon architecture that reads only process metadata and usage files—never intercepting API calls or prompts—the tool eliminates security concerns while enabling granular token cost calculation. Its modular plugin design enables rapid integration of new agents, while open-source publication ensures users can verify the tool's trustworthiness.