aither-headroom

Cut agent token cost with reversible context compression. Agents burn most of their tokens re-sending bulky context every turn: verbose JSON tool output, retrieved documents, file dumps. [headroom](https://github.com/headroomlabs-ai/headroom) (headroom-ai) crushes that content with a SmartCrusher pipeline — measured ~46% token savings on an 87 KB lint blob — while *protecting* conversation and user text so answers don't degrade. AitherOS wires it in two ways: an automatic pre-send hook at the single LLM chokepoint, and agent-callable tools you invoke mid-loop.