The Full-Stack Platform for AI Agents

Built-in Agent Services

Everything your agents need to thrive

APIs

Type-safe Hono routes that auto-generate React hooks. Authentication, rate limiting, and OpenAPI docs built in. Deploy with one command.

Frontends

Deploy React apps with end-to-end type safety from your agents to your components. Streaming and real-time updates built in.

Database & Storage

Agents can reach for Redis, Postgres, vector, and object storage as tools. Ephemeral or persistent, all from your agent context.

Sandboxes

Run untrusted code in isolated containers. One function call creates, executes, and destroys. We handle provisioning and cleanup.

Observability

OpenTelemetry tracing, logging, and session-based debugging, all automatic. See prompts, responses, and costs per span.

Input & Output

Hook up integrations in minutes: email, SMS, chat platforms, webhooks, cron jobs, and more. Your agents connect to anything with minimal wiring.

Evals

Evals deploy alongside your agents and run on live production traffic, not just in CI. See results directly in your traces.

Workbench

Chat with your agents during development. Test tools, inspect state, and debug in real time without deploying.

Developer Platform

Build agents like any other app

AI Agents

Wrap any framework, get production infra

Agentuity wraps your existing agent code with observability, evals, streaming, and auth without forcing a new runtime. Use Mastra, AI SDK, or your own code. Call other agents with one line of code across any framework or language.

Explore the SDK →

import { createAgent } from '@agentuity/runtime';
import { streamText } from 'ai';
import { anthropic } from '@ai-sdk/anthropic';
import { s } from '@agentuity/schema';

const agent = createAgent('Assistant', {
  schema: {
    input: s.object({ message: s.string() }),
    stream: true,
  },
  handler: async (ctx, input) => {
    const { textStream } = streamText({
      model: anthropic('claude-sonnet-4-5'),
      prompt: input.message,
    });

    return textStream;
  },
});

export default agent;

Deploy Without Complexity

From code to production instantly

Current cloud providers are like dealing with a neutron star: dead and heavy. Leave the IAM roles, security groups, and load balancers to us. One command gets you production URLs with SSL, DNS, and load balancing managed automatically. Push to main and GitHub auto-deploys.

Serious agents, anywhere

Agentic software on your terms

Deploy to public cloud, private cloud, on-prem, multi-cloud, or edge — one platform, one SDK, one consistent developer experience. Learn how the Gravity Network makes it possible.

Public Cloud

Global edge deployment with automatic scaling

Zero Config

Deploy with one command

Auto Scale

From 0 to thousands of requests

Global Edge

Sub-100ms cold starts

Deploy agents to our managed infrastructure for speed and simplicity. A global edge network with sub-100ms cold starts and automatic scaling to meet demand.

The future of AI agents is here

Watch how developers are building and deploying sophisticated AI agents in minutes instead of months. From local development to global production with zero infrastructure headaches.

Watch the Launch Video

Foundations

The architecture behind production AI agents

Traditional cloud infrastructure was built for request-response workloads. AI agents demand something different: long-running runtimes, stateful orchestration, session-level observability, and deployment models designed for autonomous systems. Explore the guides.

AI Agent Infrastructure

The specialized stack of runtime, orchestration, observability, and storage services that keeps autonomous AI agents running in production.

AI Agent Runtime Architecture

AI agents don't run like traditional web services. Their execution layer must handle dynamic tool calls, stateful workflows, and memory management.

Deploying AI Agents in Production

Moving from prototype to production requires runtime control, orchestration, observability, and cost visibility designed for autonomous systems.

Observability for AI Agents

From tool execution to token usage and failure tracing, production AI agents require real-time visibility beyond traditional application monitoring.

Multi-Agent Orchestration

Coordinating execution, routing tasks, and managing state across multiple agents requires purpose-built orchestration infrastructure.

Start building today

Join developers shipping production AI agents with the infrastructure that scales with your ambition.

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Deploy your first agent in minutes,
no credit card needed