Rowan

VulpineOS Launch

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VulpineOS is an operator system for browser agents.

It is built for stealth-aware, hardened, self-hostable AI browser agents that need to survive the real web.

The stack is based on Firefox / Camoufox and is open-source under MPL 2.0.

The core idea is simple: browsers were built for humans, not agents.

When agents use the web, they run into problems that normal browser automation was not designed to handle:

- Prompt injection from hidden DOM

- Pages changing between reading and acting

- Token waste from huge accessibility trees

- Detection from weak or inconsistent browser fingerprints

VulpineOS gives teams the infrastructure to run browser agents that can:

- Hold consistent browser identities

- Warm trust before target workflows

- Rotate through BYO proxy pools

- Geo-sync fingerprint, timezone, locale, and WebRTC IP

- Run in fleets from your own infrastructure

- Operate through a web panel or SSH-friendly TUI

- Connect to 30+ LLM providers

- Use 36 MCP browser tools

- Self-host with Docker / Vulpine-Box

- Work with budgets, approvals, webhooks, and auditability

Some current runtime numbers:

- 93.1% smaller DOM snapshots vs compact Chrome AX tree

- 74.6% smaller than Playwright ariaSnapshot

- 39.9M input tokens avoided per 1,000 snapshots

- Around ~200 active agents on a 32GB / 16-core workstation

- 36 MCP tools

- 30+ LLM providers

- Built on Camoufox 146.0.1 / Firefox 146

We are opening private operator access for teams building with browser agents.

VulpineOS is especially relevant for:

- Agent builders

- Data teams

- Infra owners

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Nick

We built VulpineOS because most browser-agent infrastructure starts failing once it touches the real web.

Fingerprint drift, unstable sessions, prompt injection, constantly mutating pages, these are operational problems that normal automation stacks were never designed to handle.

A lot of work went into making agents behave consistently under pressure, especially at fleet scale.

Excited to finally open this up.