AgentRadio: Async Message Passing Doubles Multi-Agent Task Resolution
omarsar0 · x · 2026-08-01
Traditional multi-agent systems typically communicate only at phase boundaries, limiting collaboration efficiency. AgentRadio introduces an asynchronous message-passing layer with three primitives: threads, messages, and waiting for mentions, allowing agents to surface teammate discoveries as a background task without interrupting foreground work.
On the SWE-Atlas QnA benchmark, a single Claude Code (Opus 4.6) agent resolves 32.3% of tasks. Four agents wired through AgentRadio boosted the resolution rate to 62.1%, beating even a single agent running the newer Opus 4.8 (57.2%). Rubric-level analysis shows the performance gain grows with task difficulty, indicating that the mechanism relies on mid-course correction rather than raw parallelization.
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