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Your multi-agent research pipeline crashed after processing 12 of 28 documents.

Your multi-agent research pipeline crashed after processing 12 of 28 documents. The web-search agent had identified relevant sources, the document analyzer had partially completed extraction, and the synthesizer had begun identifying patterns. You need to resume processing without repeating work or losing fidelity in the prior findings. What state-management approach best balances information fidelity with context efficiency when restoring agent state?

A.

Have each agent persist a structured export to a known location. On resumption, the coordinator loads the manifest and injects relevant state into agent prompts.

B.

Have each agent maintain its own persistent state file and reload it independently at the beginning of each session.

C.

Persist the coordinator’s conversation log containing all task delegations and responses, and provide this log to the agents when resuming.

D.

Index all agent outputs in a shared vector store. When resuming, have each agent query the store using semantic search to retrieve relevant prior findings.

Anthropic CCAR-F Summary

  • Vendor: Anthropic
  • Product: CCAR-F
  • Update on: Aug 26, 2026
  • Questions: 152
Price: $52.5  $149.99
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