Matchlock: AI Agent 沙箱隔离安全方案
使用 Linux 沙箱为 AI agent 工作负载提供安全隔离,解决 agent 系统的执行权限和资源控制问题。
使用 Linux 沙箱为 AI agent 工作负载提供安全隔离,解决 agent 系统的执行权限和资源控制问题。
实验性项目:该项目仍在积极开发中,可能会发生破坏性变化。
Matchlock 是一个 CLI 工具,用于在短暂的 microVM 中运行 AI agent —— 支持网络白名单、通过 MITM 代理进行 secret 注入,以及 VM 级隔离。你的 secret 永远不会进入 VM。
AI agent 需要运行代码,但给予它们对你的机器的无限制访问是一个风险。Matchlock 让你可以给 agent 提供一个完整的 Linux 环境,在不到一秒钟内启动 —— 隔离且可丢弃。
当你传递 --allow-host 或 --secret 时,Matchlock 密封网络 —— 仅允许到明确列入白名单主机的流量通过,其他所有流量都被阻止。当你的 agent 调用 API 时,真实凭证由主机在传输中注入。沙箱只会看到一个占位符。即使 agent 被欺骗运行某些恶意操作,你的密钥也不会泄露,数据也无处可去。在内部,agent 获得一个完整的 Linux 环境来做任何需要做的事。它可以安装包、写文件、制造混乱。在外部,你的机器不会感受到任何影响。卷覆盖挂载是隔离的快照,完成后就消失。无论你在 Linux 服务器还是 MacBook 上,CLI 和行为都相同。
支持 KVM 的 Linux
Apple Silicon 上的 macOS
完整安装详情见 docs/install.md。
下面的脚本会检测操作系统,在 macOS 上使用 Homebrew 安装 matchlock,在 Debian/RHEL 风格的 Linux 发行版上使用 rpm/deb 安装。
curl -fsSL https://raw.githubusercontent.com/jingkaihe/matchlock/main/scripts/install.sh | bash
# Or install a specific release
curl -fsSL https://raw.githubusercontent.com/jingkaihe/matchlock/main/scripts/install.sh | bash -s -- --version 0.2.4
基于 Homebrew 的安装在 macOS 和 Linux 上都支持:
brew tap jingkaihe/essentials
brew install matchlock
sudo dpkg -i ./matchlock_<version>_linux_amd64.deb
sudo apt-get install -f
matchlock diagnose
sudo dnf install ./matchlock_<version>_linux_amd64.rpm
matchlock diagnose
如果 matchlock diagnose 报告缺少主机设置,运行:
sudo matchlock setup linux
要明确为特定用户注册,运行:
sudo matchlock setup user <name>
# Basic
matchlock run --image alpine:latest cat /etc/os-release
matchlock run --image alpine:latest -it sh
matchlock run --image alpine:latest --no-network -- sh -lc 'echo offline'
# Network allowlist
matchlock run --image python:3.12-alpine \
--allow-host "api.openai.com" python agent.py
# Keep interception enabled even with an empty allowlist,
# so hosts can be added/removed at runtime.
matchlock run --image alpine:latest --rm=false --network-intercept
matchlock allow-list add <vm-id> api.openai.com,api.anthropic.com
matchlock allow-list delete <vm-id> api.openai.com
# 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 run --image nginx:latest -d # same as above, detached
matchlock exec vm-abc12345 -it sh # attach to it
matchlock port-forward vm-abc12345 8080:8080 # forward host:8080 -> guest:8080
# Publish ports at startup
matchlock run --image alpine:latest --rm=false -p 8080:8080
# 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
Matchlock 为 Go、Python 和 TypeScript 提供 SDK,用于直接在你的应用中嵌入沙箱。你可以编程方式启动 VM、执行命令、流式输出和管理文件。
package main
import (
"context"
"fmt"
"os"
"github.com/jingkaihe/matchlock/pkg/sdk"
)
func main() {
ctx := context.Background()
client, err := sdk.NewClient(sdk.DefaultConfig())
if err != nil {
panic(err)
}
defer client.Close(0)
defer client.Remove()
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")
if _, err := client.Launch(sandbox); err != nil {
panic(err)
}
if _, err := client.Exec(ctx, "apk add --no-cache curl"); err != nil {
panic(err)
}
// The VM only ever sees a placeholder - the real key never enters the sandbox
result, err := client.Exec(ctx, "echo $ANTHROPIC_API_KEY")
if err != nil {
panic(err)
}
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"}]}'`
if _, err := client.ExecStream(ctx, curlCmd, os.Stdout, os.Stderr); err != nil {
panic(err)
}
}
默认(未设置):每当发送网络配置时,私有 IP 都会被阻止。
显式阻止:调用 .WithBlockPrivateIPs(true)(或 .BlockPrivateIPs())。
显式允许:调用 .AllowPrivateIPs() 或 .WithBlockPrivateIPs(false)。
sandbox := sdk.New("alpine:latest").
AllowHost("api.openai.com").
AddHost("api.internal", "10.0.0.10").
WithNetworkMTU(1200).
AllowPrivateIPs() // explicit override: block_private_ips=false
// SDK network interception (request/response mutation, body shaping, SSE data-line transform)
sandbox = sandbox.WithNetworkInterception(&sdk.NetworkInterceptionConfig{
Rules: []sdk.NetworkHookRule{
{
Phase: sdk.NetworkHookPhaseBefore,
Action: sdk.NetworkHookActionMutate,
Hosts: []string{"api.openai.com"},
SetHeaders: map[string]string{"X-Trace-Id": "trace-123"},
},
{
Phase: sdk.NetworkHookPhaseAfter,
Action: sdk.NetworkHookActionMutate,
Hosts: []string{"api.openai.com"},
BodyReplacements: []sdk.NetworkBodyTransform{
{Find: "internal-id", Replace: "redacted"},
},
},
},
})
如果你直接使用 client.Create(...)(不用 builder),设置:
BlockPrivateIPsSet: true
BlockPrivateIPs: false(或 true)
对于完全离线沙箱(无访客 NIC / 无出站),使用:
Go SDK builder:.WithNoNetwork()
Python SDK builder:.with_no_network()
TypeScript SDK builder:.withNoNetwork()
pip install matchlock
# or
uv add matchlock
import os
import sys
from matchlock import Client, Sandbox
sandbox = (
Sandbox("python:3.12-alpine")
.allow_host(
"dl-cdn.alpinelinux.org",
"files.pythonhosted.org", "pypi.org",
"astral.sh", "github.com", "objects.githubusercontent.com",
"api.anthropic.com",
)
.add_secret(
"ANTHROPIC_API_KEY", os.environ["ANTHROPIC_API_KEY"], "api.anthropic.com"
)
)
SCRIPT = """\
# /// script
# requires-python = ">=3.12"
# dependencies = ["anthropic"]
# ///
import anthropic, os
client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
with client.messages.stream(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain TCP/IP."}],
) as stream:
for text in stream.text_stream:
print(text, end="", flush=True)
print()
"""
with Client() as client:
client.launch(sandbox)
client.exec("pip install --quiet uv")
client.write_file("/workspace/ask.py", SCRIPT)
client.exec_stream("uv run /workspace/ask.py", stdout=sys.stdout, stderr=sys.stderr)
client.remove()
npm install matchlock-sdk
import { Client, Sandbox } from "matchlock-sdk";
const SCRIPT = `import Anthropic from "@anthropic-ai/sdk";
const anthropic = new Anthropic({
apiKey: process.env.ANTHROPIC_API_KEY,
});
const stream = anthropic.messages
.stream({
model: "claude-haiku-4-5-20251001",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain TCP/IP." }],
})
.on("text", (text) => {
process.stdout.write(text);
});
await stream.finalMessage();
process.stdout.write("\\n");
`;
const client = new Client();
try {
const sandbox = new Sandbox("node:22-alpine")
.allowHost("registry.npmjs.org", "*.npmjs.org", "api.anthropic.com")
.addSecret("ANTHROPIC_API_KEY", process.env.ANTHROPIC_API_KEY ?? "", "api.anthropic.com");
await client.launch(sandbox);
await client.exec(
"npm init -y >/dev/null 2>&1 && npm install --quiet --no-bin-links @anthropic-ai/sdk",
{ workingDir: "/workspace" },
);
await client.writeFile("/workspace/ask.mjs", SCRIPT);
await client.execStream("node ask.mjs", {
workingDir: "/workspace",
stdout: process.stdout,
stderr: process.stderr,
});
} finally {
await client.close();
await client.remove();
}
更多示例可在 examples/ 目录中找到:
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