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@frontier-infra

frontier-infra

frontier-infra

Open-source primitives for AI-first applications.

We build the missing infrastructure layers between web applications and AI agents. Every project here is agentic-first — designed for a world where AI is a first-class consumer of software, not an afterthought bolted on top.


Projects

Producer-side rendering for AI agents. Like i18n, but the target locale is "agent."

Web apps already know their intent, their data, their permissions, and their affordances — then they throw it all away to render pixels. AVL flips this: every page ships a parallel agent-native view alongside the human HTML. Same data, same auth, different rendering target.

/dashboard       → human view (HTML)
/dashboard.agent → agent view (text/agent-view)
npm install @frontier-infra/avl

MCP is the hands. AVL is the eyes.

Read the thesis · Read the spec · Get started


Philosophy

  • The agent is not a scraper. Applications should render for AI agents the same way they render for non-English speakers — with a parallel, first-class view owned by the producer, not reverse-engineered by the consumer.
  • Same session, different render. AI agents inherit existing human sessions. No new auth surface, no new API keys, no second permission model to maintain.
  • Ship small, compose well. Every package here is zero-dependency where possible, framework-agnostic at the core, with thin adapters for specific runtimes.
  • Start cheap, get value immediately. Conformance ramps (L0 → L3) let teams ship value in hours and expand incrementally.

From the Lab

frontier-infra is the open-source arm of Jason Brashear — 30+ years in infrastructure (Cisco CCIE, Red Hat CE, Dell, Apple, AMD), now building at the intersection of AI agents and web infrastructure.

Writing about the agentic-first future at Frontier Operations on Substack.

Related Projects

  • Argent OS — AI agent operating system. AVL is the substrate Argent OS uses to navigate any host application.
  • AInode.dev — AI-native development platform.

Get Involved

We're looking for early adopters, framework implementations, and real-world feedback.

  • Use AVL in your Next.js app and tell us what breaks
  • Build an adapter for SvelteKit, Remix, Nuxt, or Rails
  • Write an agent that consumes .agent URLs natively
  • Join the conversation in Discussions

Infrastructure for the agent-native web.

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