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AI · July 8, 2026

CacheCatch

Agent Cache Audit

CacheCatch launched on July 8, 2026 with 4 votes, #6,023 of 24,623 launches that month and more than 75% of that year's launches.

What it does

Audit LLM token costs and prompt-cache efficiency across LangSmith, Langfuse, Braintrust, and local IDE agents. CacheCatch detects cache breakers, estimates wasted spend, and gives exact prompt-layout fixes to cut AI costs up to 90%.

Whether you trace through LangSmith or run agents directly in your IDE — CACHECATCH turns runs and sessions into a cache-loss report: exact divergence, wasted spend, and the prompt fix your team should ship first. A fast CLI report that summarizes a sample audit — recoverable loss, the top leaking routes, the exact prefix break, and the prompt layout to ship next. Works with cloud traces and local IDE agent sessions alike. Generate your own cache report card and share it on X. Let the community see how well your agentic sessions hit cache — or how much you could save with one prompt fix. 1,351 sessions 8.4B token activity 147,505 tool calls 1,046 subagent runs And I had no clean way to see…from cachecatch.spielos.xyz

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