Caveman

AI cost optimization stack that auto-caches, compresses, and routes LLM traffic to cut output tokens by ~65%

Verified API available Free tier
Quick facts
What is it AI cost optimization stack that auto-caches, compresses, and routes LLM traffic to cut output tokens by ~65%
Pricing Freemium — from $29/mo
Free tier Yes
Platform API
API Yes
Best for cutting monthly LLM API costs in production, optimizing token use in AI coding agents
Domain registered 2026

Data updated Aug. 15, 2026

What does Caveman do?

Caveman is an efficiency layer for teams that build on large language models. It sits between your application and the AI providers you use, watches the traffic, and applies cost-saving optimizations like caching, compression, and routing. The main promise is that it can cut roughly 65% of your AI costs by reducing the number of output tokens you pay for, then show you a breakdown of what was saved.

The tool is deliberately lightweight to install. There are four ways to run it: a Claude Code skill installed with a curl command, a global npm package called Caveman Code, a package called Cavemem, and a browser extension that works with ChatGPT, Claude, and Gemini. That range of entry points makes it useful inside AI-native coding agents, in backend services, and in everyday chat interfaces. The project reports about 97.9k GitHub stars and was #1 on Hacker News, which points to strong interest from developers.

Who benefits most? Engineering teams that pay significant LLM API bills, developers building AI agents, and companies that want to lower infrastructure costs without rewriting their code. Caveman is not an AI model itself; it is a cost-control layer for the AI tools you already use. The verified-savings reporting is especially useful for teams that need to justify a new tool to management.

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Key features

What makes it stand out
01
Auto-caches repeated AI requests so you don't pay for the same tokens twice
02
Compresses output tokens to lower token usage — the site claims about 65% fewer output tokens
03
Routes traffic between models or providers to find cheaper options automatically
04
Verifies savings with a cost breakdown so teams can see what was actually saved
05
Installs as a Claude Code skill, an npm CLI, a package, or a browser extension for ChatGPT, Claude, and Gemini

Who is Caveman for?

Who benefits most from this tool
cutting monthly LLM API costs in production
optimizing token use in AI coding agents
reducing token spend when using ChatGPT, Claude, or Gemini in the browser

Pricing

Free tier available — start without a credit card

Free

Free
  • Local wrap: recoverable compression on your machine (BYOK) — no account required
  • MIT skill + extension for Claude Code (30+ agents)
  • Inferred savings + Cave Score, computed locally
  • Optional free account adds cloud sync and one dashboard seat

Indie

$29.0/month
  • Local wrap + hosted gateway (BYOK) — 1 seat
  • Synced dashboard: inferred headroom + qualifying causal-cache ledger
  • 50M optimized tokens / week
  • Keep 100% of your savings — no gainshare

Team

$349.0/month
  • 10 seats included · $29 / extra seat
  • Eval-gated rollout with automatic rollback
  • Receipt export + Ed25519 verification (automatic signing disabled)
  • Projects + metered $0.75 / M beyond plan

Enterprise

Custom
  • Planned platform floor + gainshare on verified savings only
  • OIDC SSO, audit log, RBAC, governance
  • On-prem / BYOC deploy + OEM embedding
  • Provider-invoice reconciliation (planned)

Trust & presence

Domain Domain registered 2026

Gallery

Click any image to enlarge

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Price Per Token Developer Tools

Count tokens and estimate API costs for 300+ LLM models including GPT-5, Claude, Gemini, and Llama

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