Google cuts Agent token use by 94% using state tracking instead of history
hakansan · reddit · 2026-08-30
Google proposed SKILL.state, a method to drastically reduce token consumption in long agent sessions.
- Concept: Instead of feeding full conversation history, the agent maintains a structured "state" and the latest observation. Useful info for future steps is written to the state, and history is discarded.
- Results: In a 100-step benchmark (Gemini 3 Flash):
- SKILL.state: 0.94 accuracy, 65k tokens.
- LangGraph-style baseline (history-based): 0.91 accuracy, 1.1m tokens.
- Caveat: It relies on the agent predicting what info it will need; missed data requires re-retrieval.
Paper: https://arxiv.org/abs/2608.26263
Related event: Google's SKILL.state Cuts Agent Token Use by 94% with Explicit State(3 posts)→
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