Your OpenClaw Bill Is Bleeding Tokens. Here’s What We Measured — and How to Fix It.

This article discusses the issue of high token consumption in LLM agent stacks like OpenClaw, driven by memory bloat and compaction loss. It proposes solutions to reduce token spend by approximately 32% without sacrificing agent intelligence, emphasizing a retrieval-first approach.