Caveman 2 — the engine ships. v1 shrank the model's mouth (output). v2 adds the ears: a real compression engine that squeezes what the model reads — tool outputs, logs, code, JSON — before it ever hits the model. One line in front of any LLM app. Free, local, BYOK.
The skill is untouched and still MIT. Nothing about your /caveman install changed.
Real run: a 40-record JSON went 16,098 → 1,091 tokens (93% smaller), byte-safe, fully recoverable via CCR. Savings are inferred — measured on your machine, not projected, not "verified."
Licensing: MIT for the skill, CLI, SDKs, kit, evals, contracts, catalog, and extension shell. BSL-1.1 for the engine/proxy/mcp/shrink/cavemem-core/platform — self-host your own traffic (incl. production) free; only reselling Caveman-as-a-service needs a commercial license. Sunsets to Apache-2.0 in ~4 years.
Ships now: engine, proxy, CLI, SDKs (as the packages resolve). Coming soon: browser extension. Install commands and pip/npm/docker badges go live when the packages publish.
Want to help? New content-type compressors are the highest-leverage contribution — check good first issue.