Julius Brussee

19, Netherlands. I build Caveman: one compression engine, dropped in at every depth of your stack, each one cutting what your AI traffic costs. The top ones are free and open. The bottom ones report the savings in dollars you can audit.

caveman.so

Caveman Skill	65% fewer output tokens out of your agent. Code and errors stay byte-for-byte exact.	live, MIT
Caveman Engine	One command wraps the whole machine. Local compression, every original recoverable.	live, BSL-1.1
Caveman Browse	Browser automation your agent reads in tokens, not pages. Compressed a11y snapshots, byte-exact recovery.	live, BSL-1.1
Caveman Agent SDK	Agents that compress by default. Drops into Vercel AI SDK, Eve, Mastra.	v1 live, MIT · v2 in dev
Caveman Gateway	Point traffic at one URL. Caching, compression and routing, all eval-gated.	in dev
Caveman Enterprise	Same stack inside your own cloud. Verified savings, signed receipts, OEM embed.	in dev

Labs: cavegemma — the compression baked into Gemma's weights. No system prompt needed.

Gateway, Enterprise, and the Agent SDK v2 are still being built. That's where most of my time goes.

Frozen

Earlier experiments, frozen in August 2026. Still installable, still work — no active development. Their best ideas moved into caveman.

• caveman-code — terminal coding agent. 1.93× fewer tokens than Codex on the same tasks.
• cavemem — one memory shared across Claude Code, Cursor and Codex.
• cavekit — spec to plan to built software, with adversarial review.

Other stuff

Revu — spaced repetition for macOS. I built it because I wanted it for my own studying. Open-source core, product at revu.cards.

Swift, Go, TypeScript, Python.

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