Evaluating Temporal Semantic Caching and Workflow Optimization in Agentic Plan-Execute Pipelines
TL;DR AI
2 min readKey summary
Researchers show that temporal semantic caching and workflow tuning can sharply reduce latency in industrial agent pipelines.
On AssetOpsBench plan-execute workflows, generic chatbot-style caching performs poorly when outputs depend on changing parameters.
A temporal semantic cache, plus MCP improvements like disk-backed tool-discovery caching, improved end-to-end performance.
Dependency-aware parallel execution delivered major speedups while preserving correctness.