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Introducing Dagger Local Sandboxes

3 min read
By Alan Zabihi

The Change

Previous approach: AI coding agents requiring cloud sandboxes with network dependencies and privacy concerns. Current approach: Fully local execution with container-isolated environments running on your machine.

Dagger provides container-based pipeline execution that can run entirely offline. Technical capabilities:

  • Container-isolated code execution environments
  • Complete local functionality - no cloud dependencies
  • Lightning-fast local execution with zero network latency
  • Full privacy - code never leaves your machine
  • Compatible with existing AI agents (Claude Code, Codex)

What This Enables

This eliminates cloud dependencies and provides maximum privacy for AI coding workflows by keeping everything local.

Privacy

Complete data privacy with local-first execution. Code and data never leave your local environment.

Performance

Zero network latency with local execution. No cloud wait times or bandwidth limitations.

Security

Container isolation provides secure execution environments. Complete control over the execution environment.

Getting Started

Adding Dagger local sandboxes to your VibeKit setup:

import { VibeKit } from '@vibe-kit/sdk';
import { createLocalProvider } from '@vibe-kit/dagger';

const provider = createLocalProvider({
  githubToken: process.env.GITHUB_TOKEN,
  preferRegistryImages: true
});

const vibeKit = new VibeKit()
  .withSandbox(provider);

// Run AI-generated code completely local
const result = await vibeKit.generateCode({ 
  prompt: "Your AI-generated code prompt", 
  mode: "ask" 
});

Use Cases This Enables

AI coding scenarios that require complete privacy and offline capabilities:

  • Enterprise environments: Air-gapped systems requiring offline AI coding assistance
  • Sensitive codebases: Projects with strict privacy requirements
  • Development without internet: Coding in environments with limited or no connectivity
  • High-security applications: Systems requiring complete control over code execution
  • Local development workflows: Fast iteration without cloud dependencies

Technical Implementation

The integration leverages Dagger's container orchestration capabilities to provide isolated execution environments that run entirely on your local machine.

Installation

Install the Dagger provider:

npm install @vibe-kit/dagger

Ensure Dagger CLI is available:

# macOS
brew install dagger/tap/dagger

# Linux
curl -fsSL https://dl.dagger.io/dagger/install.sh | BIN_DIR=$HOME/.local/bin sh

# Windows
winget install Dagger.Cli

# Verify installation
dagger version

Implementation Example

import { VibeKit } from '@vibe-kit/sdk';
import { createLocalProvider } from '@vibe-kit/dagger';

const provider = createLocalProvider({
  githubToken: process.env.GITHUB_TOKEN,
  preferRegistryImages: true,
  dockerHubUser: process.env.DOCKER_HUB_USER // optional
});

const vibeKit = new VibeKit()
  .withAgent({
    type: "claude",
    provider: "anthropic", 
    apiKey: process.env.ANTHROPIC_API_KEY,
    model: "claude-sonnet-4-20250514"
  })
  .withSandbox(provider);

// Execute code with full container isolation
const result = await vibeKit.generateCode({
  prompt: "Create a Node.js script that logs 'Running completely offline!'",
  mode: "ask"
});

Configuration Options

import { createLocalProvider, LocalDaggerConfig } from '@vibe-kit/dagger';

const config: LocalDaggerConfig = {
  githubToken: process.env.GITHUB_TOKEN, // Optional for Git operations
  preferRegistryImages: true, // Use pre-built registry images
  dockerHubUser: process.env.DOCKER_HUB_USER, // Optional Docker Hub username
  privateRegistry: 'your-registry.com' // Optional alternative registry
};

const provider = createLocalProvider(config);

Technical Capabilities

  • Complete offline execution: No network dependencies once configured
  • Container isolation: Secure, isolated execution environments
  • Multi-language support: Support for various programming languages and runtimes
  • File system access: Controlled file operations within container boundaries
  • Resource management: CPU and memory limits for safe execution

AI Agent Integration

VibeKit's Dagger integration works seamlessly with existing AI coding agents:

// Claude integration
const claudeAgent = {
  type: "claude",
  provider: "anthropic",
  model: "claude-sonnet-4-20250514"
};

// Codex integration  
const codexAgent = {
  type: "codex",
  provider: "openai"
};


const vibeKit = new VibeKit()
  .withAgent(claudeAgent) // Or codexAgent
  .withSandbox(provider);

Requirements

  • Node.js 18+
  • Docker runtime
  • Dagger CLI
  • 8GB RAM (16GB recommended)
  • 10GB free disk space
  • Modern CPU with virtualization support

Docs: https://docs.vibekit.sh/supported_sandboxes/dagger

GitHub: https://github.com/superagent-ai/vibekit/tree/main/packages/dagger

Alan Zabihi

Co-founder & CEO of Superagent.sh

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