Create Voltagent

What Is This?

Overview

Create VoltAgent is a skill designed to guide developers through the process of initializing and bootstrapping AI agent projects using the VoltAgent framework. VoltAgent is a structured framework for building, configuring, and deploying AI agents in Node.js environments. This skill covers both the automated CLI approach and the full manual setup process, giving developers flexibility depending on their project requirements and preferences.

The skill addresses the complete project creation lifecycle, from running the initial setup command to configuring agent behavior, connecting language model providers, and organizing project files. Whether you prefer a guided interactive setup or want full control over every configuration file, this skill provides the necessary steps and code examples to get a working VoltAgent project running quickly.

VoltAgent projects follow a consistent structure that separates agent logic, tool definitions, and configuration. Understanding this structure from the start helps teams maintain clean codebases as their AI agent systems grow in complexity.

Who Should Use This

• Backend developers building AI-powered applications who want a structured framework rather than assembling components from scratch
• AI engineers prototyping multi-agent systems and needing a repeatable project setup process
• Full-stack developers integrating conversational AI features into existing Node.js services
• Technical leads evaluating VoltAgent for team adoption and wanting to understand the bootstrapping process in detail
• DevOps engineers setting up CI/CD pipelines for AI agent projects who need to understand the project structure
• Developers migrating from other agent frameworks who want a clear starting point for VoltAgent adoption

Why Use It?

Problems It Solves

• Eliminates the time spent manually researching project structure, required dependencies, and configuration patterns when starting a new AI agent project
• Removes inconsistency between team members who might set up projects differently without a standardized bootstrapping process
• Reduces configuration errors by providing verified setup steps for connecting LLM providers and defining agent parameters
• Prevents missing critical setup steps such as environment variable configuration or provider initialization that can cause runtime failures

Core Highlights

• Supports both CLI-based interactive setup and fully manual bootstrapping for maximum flexibility
• Covers Node.js project initialization with correct dependency installation for VoltAgent core packages
• Includes environment variable configuration patterns for API key management
• Provides agent definition examples using the VoltAgent agent class structure
• Covers tool registration and how to attach capabilities to agents
• Addresses provider configuration for popular LLM backends
• Includes guidance on running and testing the agent locally after setup

How to Use It?

Basic Usage

The fastest way to create a new VoltAgent project is through the CLI bootstrapper. Run the following command in your terminal:

npm create voltagent@latest my-agent-project
cd my-agent-project
npm install

After installation, copy the example environment file and add your API credentials:

cp .env.example .env

Open .env and set your provider key:

OPENAI_API_KEY=your_api_key_here

Start the development server with:

npm run dev

Specific Scenarios

Manual project setup: If you need full control over the project structure, initialize a Node.js project manually and install VoltAgent packages directly.

mkdir my-agent && cd my-agent
npm init -y
npm install @voltagent/core @voltagent/vercel-ai

Adding a custom tool: Define tools as structured objects and register them when creating the agent instance to extend its capabilities beyond default behavior.

Real-World Examples

A customer support agent project would use the CLI setup, then configure a system prompt focused on support workflows and attach tools for querying a knowledge base or ticketing system.

A data analysis agent would use manual setup to integrate with existing internal packages, defining custom tools that connect to database query functions and returning structured results to the agent.

When to Use It?

Use Cases

• Starting a new AI agent project from scratch with no existing codebase
• Standardizing project structure across a team working on multiple agent services
• Onboarding new developers to an existing VoltAgent codebase by walking through the setup process
• Creating isolated prototype environments for testing new agent behaviors
• Setting up a base project template for internal reuse across multiple client projects
• Rebuilding a legacy chatbot implementation using a modern agent framework

Important Notes

Requirements

• Node.js version 18 or higher must be installed on the development machine
• A valid API key from a supported LLM provider such as OpenAI or Anthropic is required before running the agent
• npm version 7 or higher is needed to support the create command syntax correctly