The Emu concept addresses a problem with personal AI agents that can access tools, connectors, and user data but may assume what the user wants instead of asking. Its proposal is a self-learning, on-device AI guardian that would make agents follow the user’s rules, values, and goals. The concept is also intended to avoid repeated configuration: rules set once could potentially guide different personal agents or agent harnesses as they become available. The project is presented as an early idea and is seeking feedback on how this approach should work.
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