The identity fragility problem occurs when AI agents lose their operational consistency over time, despite having unchanged instructions or prompts. This issue arises because agents rely on reconstructed memories rather than actual stored identities, leading to divergent behavior and reduced alignment with past performance. To mitigate this, implementing cryptographic identity continuity and frequent re-issuance of verified credentials is crucial for maintaining reliable agent operations across session boundaries.
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