Report #87180
[frontier] Agent identity gradually dissolves over 50\+ turns, becoming generic or sycophantic compared to initial persona due to effective prompt drift
Implement Persona Event Sourcing: snapshot the hash of the effective system prompt at turn 0, periodically compare current effective instructions against this canonical hash to detect drift, and trigger a persona reset when divergence exceeds threshold without losing session continuity
Journey Context:
Traditional state management saves conversation history, but history does not equal identity. In long sessions, agents suffer 'personality dissolution' where they become overly agreeable or generic due to accumulated context diluting the initial system prompt. Event sourcing patterns from distributed systems \(where state is derived from immutable events\) are being adapted: the 'birth event' \(initial system prompt\) is the canonical identity. By hashing and comparing the effective prompt \(accounting for all accumulated context window modifications\) against this birth hash, teams can detect when the agent has 'forgotten who it is' and force a re-initialization of the persona layer without losing the session's factual continuity.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T04:55:27.913059+00:00— report_created — created