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Matchlock

Matchlock is a CLI tool for running AI agents in ephemeral microVMs - with network allowlisting, secret injection via MITM proxy, and everything else blocked by default. Your secrets never enter the VM.

Why Matchlock?

AI agents need to run code, but giving them unrestricted access to your machine is a risk. Matchlock lets you hand an agent a full Linux environment that boots in under a second - isolated, disposable, and locked down by default.

When your agent calls an API the real credentials are injected in-flight by the host. The sandbox only ever sees a placeholder. The network is sealed by default and nothing gets out unless you say so. Even if the agent is tricked into running something malicious your keys don't leak and there's nowhere for data to go. Inside the agent gets a full Linux environment to do whatever it needs. It can install packages and write files and make a mess. Outside your machine doesn't feel a thing. Every sandbox runs on its own copy-on-write filesystem that vanishes when you're done. Same CLI and same behaviour whether you're on a Linux server or a MacBook.

Quick Start

System Requirements

  • Linux with KVM support
  • macOS on Apple Silicon

Install

brew tap jingkaihe/essentials
brew install matchlock

Usage

# Basic
matchlock run --image alpine:latest cat /etc/os-release
matchlock run --image alpine:latest -it sh

# Network allowlist
matchlock run --image python:3.12-alpine \
  --allow-host "api.openai.com" python agent.py

# Secret injection (never enters the VM)
export ANTHROPIC_API_KEY=sk-xxx
matchlock run --image python:3.12-alpine \
  --secret ANTHROPIC_API_KEY@api.anthropic.com python call_api.py

# Long-lived sandboxes
matchlock run --image alpine:latest --rm=false   # prints VM ID
matchlock exec vm-abc12345 -it sh                # attach to it

# Lifecycle
matchlock list | kill | rm | prune

# Build from Dockerfile (uses BuildKit-in-VM)
matchlock build -f Dockerfile -t myapp:latest .

# Pre-build rootfs from registry image (caches for faster startup)
matchlock build alpine:latest

# Image management
matchlock image ls                                           # List all images
matchlock image rm myapp:latest                              # Remove a local image
docker save myapp:latest | matchlock image import myapp:latest  # Import from tarball

SDK

Matchlock also ships with Go and Python SDKs for embedding sandboxes directly in your application. Allows you to programmatically launch VMs, exec commands, stream output and write files.

Go

package main

import (
	"fmt"
	"os"

	"github.com/jingkaihe/matchlock/pkg/sdk"
)

func main() {
	client, _ := sdk.NewClient(sdk.DefaultConfig())
	defer client.Close()

	sandbox := sdk.New("alpine:latest").
		AllowHost("dl-cdn.alpinelinux.org", "api.anthropic.com").
		AddSecret("ANTHROPIC_API_KEY", os.Getenv("ANTHROPIC_API_KEY"), "api.anthropic.com")

	client.Launch(sandbox)
	client.Exec("apk add --no-cache curl")

	// The VM only ever sees a placeholder - the real key never enters the sandbox
	result, _ := client.Exec("echo $ANTHROPIC_API_KEY")
	fmt.Print(result.Stdout) // prints "SANDBOX_SECRET_a1b2c3d4..."

	curlCmd := `curl -s --no-buffer https://api.anthropic.com/v1/messages \
  -H "content-type: application/json" \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -d '{"model":"claude-haiku-4-5-20251001","max_tokens":1024,"stream":true,
       "messages":[{"role":"user","content":"Explain TCP to me"}]}'`
	client.ExecStream(curlCmd, os.Stdout, os.Stderr)
}

Python (PyPI)

pip install matchlock
# or
uv add matchlock
import os
import sys

from matchlock import Client, Config, Sandbox

sandbox = (
    Sandbox("alpine:latest")
    .allow_host("dl-cdn.alpinelinux.org", "api.anthropic.com")
    .add_secret(
        "ANTHROPIC_API_KEY", os.environ["ANTHROPIC_API_KEY"], "api.anthropic.com"
    )
)

curl_cmd = """curl -s --no-buffer https://api.anthropic.com/v1/messages \
  -H "content-type: application/json" \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -d '{"model":"claude-haiku-4-5-20251001","max_tokens":1024,"stream":true,
       "messages":[{"role":"user","content":"Explain TCP/IP."}]}'"""

with Client(Config()) as client:
    client.launch(sandbox)
    client.exec("apk add --no-cache curl")
    client.exec_stream(curl_cmd, stdout=sys.stdout, stderr=sys.stderr)

See full examples in examples/go and examples/python.

Architecture

graph LR
    subgraph Host
        CLI["Matchlock CLI"]
        Policy["Policy Engine"]
        Proxy["Transparent Proxy + TLS MITM"]
        VFS["VFS Server"]

        CLI --> Policy
        CLI --> Proxy
        Policy --> Proxy
    end

    subgraph VM["Micro-VM (Firecracker / Virtualization.framework)"]
        Agent["Guest Agent"]
        FUSE["/workspace (FUSE)"]
        Image["Any OCI Image (Alpine, Ubuntu, etc.)"]

        Agent --- Image
        FUSE --- Image
    end

    Proxy -- "vsock :5000" --> Agent
    VFS -- "vsock :5001" --> FUSE
Loading

Network Modes

Platform Mode Mechanism
Linux Transparent proxy nftables DNAT on ports 80/443
macOS NAT (default) Virtualization.framework built-in NAT
macOS Interception (with --allow-host/--secret) gVisor userspace TCP/IP at L4

Docs

See AGENTS.md for the full developer reference.

License

MIT

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Matchlock secures AI agent workloads with a Linux-based sandbox.

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  • Go 87.3%
  • Python 10.6%
  • Shell 1.6%
  • Dockerfile 0.5%