Your multi-agent research pipeline crashed after processing12 of 28 documents. The web search agent had…

Question

Your multi-agent research pipeline crashed after processing12 of 28 documents. The web search agent had identified relevant sources, the document analyzer had partially completed extraction, and the synthesizer had begun pattern identification. You need to resume processing without repeating work or losing fidelity of prior findings. What state management approach best balances information fidelity with context efficiency when restoring agent state?

Accepted Answer

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

Answer

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

Answer

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

Answer

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

Question 3