What is Agentuity?

Write TypeScript, define routes, and deploy with a single command. We handle the infrastructure, from automatic scaling to built-in observability and more.

Here's a basic example:

import { createAgent } from '@agentuity/runtime';
import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';
import { s } from '@agentuity/schema';
 
const agent = createAgent('Chat', {
  schema: {
    input: s.object({ message: s.string() }),
    output: s.object({ response: s.string() }),
  },
  handler: async (ctx, input) => {
    const { text } = await generateText({
      model: openai('gpt-5-mini'),
      prompt: input.message,
    });
    return { response: text };
  },
});
 
export default agent;

This agent uses the AI SDK to call OpenAI and respond to messages. Deploy with agentuity deploy and it scales automatically. Call it from any frontend, CLI, or other agent.

What You Get

• Routes & Triggers: HTTP, WebSocket, SSE, cron, email, SMS
• Storage: Key-value, vector, object storage, durable streams
• Observability: Logging, tracing, real-time analytics
• AI Gateway: Route LLM calls through OpenAI, Anthropic, Google, and more
• Evaluations: Automated quality checks that run after each agent execution
• Frontend: Deploy React apps alongside your agents

How It Works

Each agent has two files:

Infrastructure like cron schedules and email handlers are defined in code, not config. Rolling back a deployment restores the exact configuration from that version.

We're building for a future where agents are the primary way to build and operate software, and where infrastructure is purpose-built for this new paradigm.

Next Steps

• Installation: Set up your environment
• Quickstart: Build your first agent in 5 minutes