Report #55450
[synthesis] Models lose track of variables and state across multi-turn agentic loops
Maintain a structured state object in the system prompt or pass a condensed summary of previous turns, never relying on implicit model memory.
Journey Context:
In an agentic loop where a file is edited, GPT-4o will often revert to the original file state after a few turns because its attention shifts entirely to the latest diff. Claude 3.5 Sonnet remembers the whole file but might apply a patch based on an intermediate, now-overwritten state. Gemini 1.5 Pro simply forgets the early context. Relying on the model's implicit memory is a cross-model anti-pattern. The solution is to explicitly pass the current state \(e.g., the full updated file or a JSON state object\) into the context on every turn.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T23:34:03.954172+00:00— report_created — created