Astryx vs Caveman: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Astryx and Caveman — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Astryx

150+ Accessible Components: A cohesive React component library covering forms, navigation, data display, feedback, and more, all built for accessibility.
Agent-Ready CLI: A scriptable CLI (`astryx component list`, docs, scaffolding, codemods) that Cursor, Claude Code, and Codex can drive directly.
Swizzle for Full Ownership: Eject a component's full source into your project when you need to customize beyond props — no forking the library.
Theme via CSS Variables: Themes are CSS custom-property overrides, so designers can rebrand Astryx without wrapping or forking component source.
No Styling Lock-In: Styles are authored with StyleX internally but you override with Tailwind, CSS modules, or plain CSS — no library adoption required.
Seven Ready-Made Themes: neutral, butter, chocolate, matcha, stone, gothic, and y2k themes ship out of the box and are fully customizable.
Dark Mode + Brand Theming: Brand-level theming and dark mode work together across every component without extra wrapping.
Live Docs, Storybook & Sandbox: Full docs at astryx.atmeta.com, a hosted Storybook, and an interactive Sandbox for humans and agents to explore.

AI-Assisted UI Builds: Let an agent scaffold a React app that a designer and engineer both extend, all from the same component and CLI reference.
Rapid Product Prototyping: Assemble accessible screens from ready-to-ship templates and swap themes to prototype multiple brand directions.
Design System Adoption: Replace a hand-rolled component library with a maintained, accessibility-audited system without changing your styling approach.
Rebrand Without Forking: Ship a distinct visual identity by overriding CSS custom properties instead of forking the component source.
Multi-Framework Codebases: Bring Astryx into a project that already uses Tailwind, CSS modules, or plain CSS without adopting a new styling library.
Component-Level Customization: Use swizzle to eject specific components when you need internal control while keeping the rest of the system managed.

Julius Brussee

Freemium

Efficiency stack that caches, compresses, and routes AI traffic to cut LLM output tokens by up to 65% with verified savings.

Caveman Skill: MIT-licensed Claude Code skill that teaches 30+ agents (Claude Code, Codex, Cursor, and more) to answer in a compressed dialect, cutting output tokens ~65% while keeping code and errors byte-exact.
Local Proxy Wrap: One command (`caveman claude`) launches your agent with recoverable local context compression — no account required, BYOK, engine stores original bytes before lossy replacement.
Recoverable Context Compression: Engine recognizes logs, JSON, code, diffs, and tables, then sends smaller eligible context to the model and can restore the originals on demand.
Agent SDK: `@caveman-ai/agent` TypeScript SDK adds catalog-price guards, per-request token bills, and eval-gated context plans to production agents.
Cave Score & Ledger: Inferred local savings score and a verified 'causal-cache' ledger on paid tiers so you can prove cut tokens and cut dollars.
Managed Cloud Gateway: Point traffic at one URL and caching / compression / routing run eval-gated on autopilot, with a synced savings dashboard.
Browser Extension: Ships for ChatGPT, Claude, and Gemini so end-user chats benefit from the same output compression without any code changes.
Enterprise & OEM: Same stack self-hosted in your cloud or datacenter with signed savings receipts, zero data retention, and OEM embed options.

LLM Bill Reduction: Cap OpenAI, Anthropic, or Google spend without changing model choice by cutting output tokens per response across your agent fleet.
Coding Agent Efficiency: Install the skill to make Claude Code, Codex, Cursor, and other CLI agents produce terse, byte-exact answers so long tasks fit in context.
Provider Wrap for Production Agents: Use the SDK to add per-call token bills, catalog-price guards, and eval-gated context plans to LangChain / custom agents.
Central Cost Gateway: Point every agent in the org at Caveman Cloud so caching and routing are enforced from one URL with a shared dashboard.
On-Prem or OEM Embed: Ship the Enterprise stack inside a regulated network or embed it in your own AI product with signed savings receipts and zero data retention.
Chat-App Compression: Install the browser extension for ChatGPT, Claude, or Gemini to keep casual chats short, cheaper, and inside the context window.