Tsinghua AI Open-Sources AKV, a Cache Engineering Server for LLM Agents on SGLang

Tsinghua researchers open-sourced AKV, an SGLang-based serving system that lets LLM agents drop and reposition KV cache instead of summarizing conversation history, cutting average cost by 27.7% across 4 agent benchmarks. The release targets teams running agent workloads on SGLang who want lower serving costs without history summarization.

Tsinghua researchers released AKV, an SGLang-based serving system for cache engineering. LLM agents drop and reposition KV cache instead of summarizing history, cutting average cost 27.7% across 4 agent benchmarks. The post Tsinghua AI Open-Sources AKV, a Cache Engineering Server for LLM Agents on SGLang https://www.marktechpost.com/2026/10/26/tsinghua-akv-kv-cache-engineering-llm-agents/ appeared first on MarkTechPost https://www.marktechpost.com .