Streaming reasoning steps between agents reduces latency linearly while improving accuracy by 7-22% because early reasoning steps are more trustworthy than complete chains.
StreamMA enables multi-agent reasoning systems to process information in parallel rather than sequentially. Instead of waiting for one agent to finish its entire reasoning chain before passing results to the next agent, StreamMA streams each reasoning step immediately.