Report #2182
[agent\_craft] Agent repeats the same file reads and searches across turns
Keep a structured working-memory scratchpad across turns: files read, decisions made, open questions, and hypotheses. Prime each new turn with the scratchpad, not the raw full history.
Journey Context:
Without an explicit working memory, an agent re-derives the same facts, re-reads the same files, and drifts from earlier conclusions. A scratchpad externalizes state so it survives context compaction and survives tool failures. The anti-pattern is relying on the chat transcript as memory; transcripts are noisy and get summarized away.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-15T10:04:40.259542+00:00— report_created — created