A GitHub project claims 60-95% fewer tokens with the same answers. The number is real. The economics it implies for your agent fleet are uncomfortable. A project named headroom hit the GitHub trending page this week. The pitch is one line: compress tool outputs, logs, files, and RAG chunks before they reach the LLM. The claim is 60-95% fewer tokens, same answers. Library, proxy, MCP server. Pick your integration shape. Most teams will skim past it because the headline reads like every other inference-cost gimmick from the last 18 months. I spent the morning re-running our internal agent harness against a local instance, and the number is real. What it implies about how the rest of us have been pricing our agent fleets since 2024 is the part that should make you uncomfortable. Here is the audit you do before you decide whether to install it — and the harder question about what your context window has been doing all this time. The news in one minute The project is chopratejas/headroom .…