VibeKit
VibeKit is an open-source SDK that provides a secure, pluggable sandbox environment for safely integrating and running AI coding agents like OpenAI Codex and Claude in applications and workflows.
https://www.vibekit.sh/?ref=producthunt
Product Information
Updated:Jun 16, 2025
What is VibeKit
VibeKit is a TypeScript-based, MIT-licensed development kit designed to help developers easily embed AI coding capabilities into their applications. It was created to address the challenges of safely running AI coding agents in production environments, particularly in apps, CI flows, and GitHub bots. As a model-agnostic solution, VibeKit provides the infrastructure needed to securely execute code generation and code-related queries while maintaining full control over the environment.
Key Features of VibeKit
VibeKit is an open-source SDK that provides a secure, pluggable sandbox environment for integrating AI coding agents like OpenAI Codex and Claude Code into applications. It offers features such as secure code execution, streaming capabilities, package installation, and GitHub integration, all while being model-agnostic and TypeScript-based.
Secure Sandbox Environment: Runs coding agents in isolated, secure sandboxes with support for multiple providers like E2B, Daytona, Modal, and Fly.io
Model Flexibility: Compatible with different AI models including OpenAI Codex and Claude Code, allowing developers to choose their preferred model
Real-time Streaming: Supports streaming agent outputs directly to the UI with built-in callback functions for updates and error handling
GitHub Integration: Enables working with codebases, creating pull requests, and managing GitHub workflows directly through the SDK
Use Cases of VibeKit
Internal Development Tools: Support debugging, refactoring, and automation tasks within secure engineering environments
Application Feature Development: Add code generation or code Q&A capabilities to products, allowing users to scaffold apps and generate components
CI/CD Integration: Implement automated code review, testing, and deployment processes in continuous integration workflows
Pros
Open-source and MIT licensed for maximum flexibility
Secure sandbox environment for safe code execution
Model-agnostic architecture supporting multiple AI models
Cons
Requires technical expertise to implement and configure
Limited to supported sandbox providers
How to Use VibeKit
Install VibeKit SDK: Install the SDK using npm: npm i @vibe-kit/sdk
Import Required Modules: Import VibeKit and VibeKitConfig from the SDK: import { VibeKit, VibeKitConfig } from '@vibe-kit/sdk'
Configure VibeKit: Create a configuration object specifying the agent type (Codex or Claude) and other settings: const config: VibeKitConfig = { agent: { type: 'codex', ... }, ... }
Initialize VibeKit: Create a new VibeKit instance with your config: const vibeKit = new VibeKit(config)
Set Up Code Generation: Prepare your prompt and mode parameters for code generation: const prompt = 'Your prompt'; const mode = 'code';
Add Callbacks: Set up callback functions to handle updates and errors during code generation
Generate Code: Call generateCode() with your parameters and await the result: const result = await vibeKit.generateCode({ prompt, mode, callbacks })
Handle Results: Process the generated code result in your application: console.log('Result:', result)
VibeKit FAQs
VibeKit is an open-source SDK that allows developers to run AI coding agents like OpenAI Codex and Claude in secure sandboxes. It's designed to help integrate these AI agents into applications, CI flows, or GitHub bots safely.
VibeKit Video
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