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Pomerene Caches Agent Trajectories to Skip Repeated Tool Loops in AI SDK Agents

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A developer article argues that AI agents built with frameworks like Vercel AI SDK and Mastra waste time re-deriving plans for goals they have already solved. It introduces Pomerene, a deterministic trajectory cache that wraps an agent function rather than the model client, leaving prompts untouched. The tool offers full replay for matching goals, partial replay that resumes mid-trajectory when a plan diverges, and a normal run with recording on a miss. The author reports that on the τ-bench airline benchmark, 86% of paraphrased requests were served from cache, with 78% of those judged correct.

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