Splitting work across agents can add breadth, keep exploratory work out of the main agent’s context, and give a verifier a clean view of the result. Every boundary between agents is also a place where context gets summarized or lost, and agents writing to the same system can make conflicting decisions that none of them sees.
The evidence so far favours a narrow use: parallel agents for reading, searching, and reviewing, with writes kept in one place or in isolated workspaces behind a mechanical check. Multi-agent runs also typically cost several times the tokens of a single agent on the same task.
