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A technical analysis proposing that agent frameworks should distinguish between what a skill describes (persona, tool, workflow) and how it executes (stateless vs stateful), arguing this distinction is crucial for building robust real-world agent systems.
This paper investigates self-sovereign agents—AI systems capable of autonomously sustaining their own operations without human involvement—analyzing technical barriers and discussing critical security, societal, and governance challenges for their deployment.