SquidAgent: Parallelize Wisely, Coordinate Efficiently
SquidAgent only parallelizes agent work when predicted token costs say it will beat the serial path.
The paper argues that parallel agents often lose their speed advantage to duplicated context-building and output reconciliation. SquidAgent addresses that by forking workers from the orchestrator’s session and setting shared conventions before work begins. Its scheduler applies the parallelization test layer by layer. The authors report 2.6x mean wall-time speedup over Claude Code and say the paper was accepted at NeurIPS 2026. ArXiv · AI/CL/LG's note
The paper argues that parallel agents often lose their speed advantage to duplicated context-building and output reconciliation. SquidAgent addresses that by forking workers from the orchestrator’s session and setting shared conventions before work begins. Its scheduler applies the parallelization test layer by layer. The authors report 2.6x mean wall-time speedup over Claude Code and say the paper was accepted at NeurIPS 2026. ArXiv · AI/CL/LG's note
score 5