HKUST's AgentZip cuts agent sandbox memory up to 8.7x by exploiting cross-sandbox redundancy
omarsar0 · x · 2026-09-12
HKUST researchers propose AgentZip to tackle the memory bottleneck of running many parallel agent sandboxes for RL or evals.
Problem: concurrent sandboxes start from the same template with related trajectories; 76–96% of pages show template-relative or cross-sandbox redundancy, making memory the capacity limit for high-fanout agent workloads.
Approach:
- Compress pages against the template and sibling sandboxes, including similar-but-not-identical pages
- Perform expensive compression while the agent waits on the LLM
- Prefetch pages at restore time to limit slowdown
Results: sandbox-owned memory drops up to 8.7x vs 2.1x for a Linux configuration.
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