Agent Initializr

Go from Idea to Production-Ready AI Agents in Minutes

Skip the boilerplate. Agent Initializr generates a scalable AI agent backend with NestJS and LangGraphJS, so you can start building what matters.

NestJSLangGraphJSTypeScript
The problem

Stop Wasting Days on Boilerplate

Focus on your agent logic, not the scaffolding.

Endlessly configuring project structuresWrestling with dependency managementWiring up agent graphs and frameworks by hand
Agent Initializr

Introducing the Agent Initializr

The Agent Initializr helps you skip boilerplate and build real agent backends fast.

  • LangGraphJS + NestJS scaffold
  • Built-in config for tools, memory, routing
  • Exportable, testable, deployable
Demo
Proof it ships
Built with the Initializr

Battle-Tested: Our SaaS Runs on This Stack

The Agentailor Playground isn’t just a demo — it’s a real, deployed app built on the same foundation you can generate for free. It’s robust, scalable, and production‑ready.

Agentailor Playground screenshot
Explore the Playground

How Agentailor Fits Into Your Dev Flow

How it works
  1. 1

    Step 1: Generate

    Use the Initializr to create your backend.

  2. 2

    Step 2: Customize

    Add your unique business logic, API keys, and tools.

  3. 3

    Step 3: Deploy

    Push your agent to the cloud.

Demo
//Chat method example
async chat(messageDto: MessageDto): Promise < MessageResponseDto > {
  const messages = MessageUtil.toHumanMessages(messageDto);
  await this.threadService.createThreadIfNotExists(messageDto.threadId);
  const config = {
    configurable: { thread_id: messageDto.threadId },
  };
  const message = await this.agent.chat({messages}, config);
  return {
    id: message.id,
    type: message.getType() as 'human' | 'ai' | 'tool',
    content: message.content,
  };
}

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