Shuttle · by Entelecy · Shipping

Run real code. Safely.

Shuttle gives an AI its own VM, isolated by hardware, where it writes, compiles and runs real code in six languages — without ever touching your machine. Ready in 122 milliseconds.

The problem

A container shares the kernel.

AI agents are only useful when they run the code they write — build, test, verify. But running AI-generated code on your machine, or even in a container, is real risk: a container shares the kernel, and one escape means a compromised host.

The solution

A capsule isolated by hardware.

Each execution runs in a KVM capsule — a full VM, isolated by hardware. An escape can't reach the host because the boundary is the processor, not the kernel. And thanks to fork-COW cloning, that capsule is born in milliseconds: total isolation, no speed tax.

Proof · measured on bare metal

Numbers, not adjectives.

122msVM ready (held-warm clone)
~55–116mshot exec (Node · .NET)
6languages, real builds
50–150×cold → warm
589lines of C · audit the TCB

NodePythonGoRust.NETJava

Why it's different

Four things most sandboxes can't say.

Hardware, not container

KVM is a real boundary — the processor, not a shared kernel.

Fast despite isolation

Fork-COW makes a full VM ready in milliseconds.

Real builds, not snippets

A real project with dependencies, in six languages.

Auditable TCB

The whole isolation supervisor is 589 lines of C.

Works with

One MCP server. Every client.

Shuttle is MCP-native: a single server (mc mcp) plugs into the tools you already use. Configure once.

Claude CodeCodexCursorWindsurfGitHub CopilotAntigravityReplit · hosted

Claude Code

claude mcp add --transport \ stdio shuttle -- mc mcp

Codex

codex mcp add shuttle \ -- mc mcp

VS Code · Copilot

code --add-mcp '{"name":"shuttle", "command":"mc","args":["mcp"]}'

Capacity scales with the host. Sustained throughput and concurrent-capsule limits are still being measured under load — we'll publish them when the numbers are real, not before.

Give your agent a place to run.

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