Research Platform

An AI-native operating system
for studying LLM security threats

JARVIS OS is an Arch Linux-based research platform that gives a large language model full operating system privileges — then studies what can go wrong. Built at WSU Everett to produce the first empirical threat taxonomy for LLM-OS integration.

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Arch Linux + KDE Plasma 6 • Ollama (local LLM) • MCP Orchestration
Critical Threat

Bloated Context

Context window saturation silently drops security constraints mid-session. The AI doesn't disobey your rules. It forgets them. This is the first identification of context saturation as a discrete security threat rather than a reliability problem.

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Architecture

How JARVIS OS works

Local LLM Inference

Powered by Ollama — all inference runs on-device with zero cloud dependencies. Full privacy, full control.

dispatch + dmcp

Signal-driven task orchestrator paired with an MCP server lifecycle manager. One brain dispatches concurrent tool calls; many hands execute them in parallel.

Modular Build System

Seven scripts transform a base Arch ISO into a bootable AI-native OS. Each stage is isolated, auditable, and reproducible.

KDE Plasma 6 / Wayland

Modern desktop environment running on the Wayland display protocol — a full graphical workstation, not just a CLI tool.

TUI Installer

Dialog-based installer for permanent deployment to hardware. Auto-installs dependencies, supports auto and manual partitioning.

Security Research Platform

Purpose-built to expose and document the real security threats that emerge when LLMs gain OS-level control. Research-first, product-second.

Research

Threat Taxonomy

Empirically identified through building and operating an AI-native OS. Three privilege escalation stages studied: user-level, sudo-enabled, and web-enabled.

Malicious MCP Servers Critical
Prompt Injection Critical
Misleading MCP Server Usage High
Unauthorized Sudo Requests via MCP Critical
Sudo Capability Exploitation Critical
Bloated Context Critical
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Download JARVIS OS

Grab the latest ISO, verify the checksum, and boot into an AI-native research environment.

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