3 appearances on the backlist front page in the last 30 days.
MACU is simple and general: a manager decomposes tasks into a directed acyclic graph (DAG), dispatches parallel subagents, and revises the DAG with new findings. A single slow CUA → a team of CUAs working in parallel! Interactive visualiz
Computer use agents are slow and brittle. The fix isn’t just stronger models, but also deploying them as multi-agent systems. MACU is a general Multi-Agent Computer Use framework that consistently lifts success rates by 3.4-25.5% and is up
MACU achieves better scaling behavior than single-agent CUAs, and improves success rates consistently across four CUA benchmarks (+4.7% on OSWorld, +3.4% on Online-M2W, +8.7% on WebTailBench, +25.5% on Odysseys). MACU also reduces the wall