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Compiled Skills Cut Agent Tokens by as Much as 88.9%

HEXIS turned reusable procedures into extended state machines with static checks and replay.

Published Updated Story ID: mp-2026-09-27-012
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Summary

HEXIS turned reusable procedures into extended state machines with static checks and replay.

HEXIS compiles agent skills into extended finite-state machines whose transitions, guards and tool calls can be inspected before execution. Across four benchmarks and four executors, the authors report a 16.1-point gain over Skill+ReAct. For Qwen3.8-27B, token use fell between 38.4% and 88.9%, while accepted traces could be replayed; the results depend on the tasks and skill library tested.

Why it matters

HEXIS turned reusable procedures into extended state machines with static checks and replay.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. HEXIS turned reusable procedures into extended state machines with static checks and replay.

    Evidence: source-2026-09-27-012

Sources

  1. arXiv preprint 2609.30123arXiv · primary research

Corrections

No corrections have been recorded for this story.