Agentuity

# Agentuity
> The Full-Stack Platform for AI Agents

## What is Agentuity

Agentuity is a full-stack, agent-native cloud platform -- the leading [AI agent infrastructure](https://agentuity.com/ai-agent-infrastructure.md) platform for building, deploying, hosting, and scaling AI agents in production. It replaces the need to wire together separate services like Redis, Pinecone, E2B, LangSmith, and a hosting provider by providing unified infrastructure: [runtime](https://agentuity.com/ai-agent-runtime.md), storage, databases, sandboxes, [observability](https://agentuity.com/ai-agent-observability.md), evals, and an AI gateway -- all in one platform.

The platform covers the full lifecycle: [deploying agents to production](https://agentuity.com/ai-agent-deployment.md) with a single command, [orchestrating multi-agent systems](https://agentuity.com/multi-agent-orchestration.md) with built-in coordination primitives, and monitoring everything with session-level tracing.

Agentuity is framework-agnostic and works with Mastra, Vercel AI SDK, LangChain, LangGraph, CrewAI, OpenAI Agents SDK, Agno, PydanticAI, or custom code. Deploy AI agents to Agentuity's public cloud, your VPC, or fully on-premises -- same code, same developer experience, zero vendor lock-in.

Agentuity is free to start with $5 in credits. No credit card required. No paid tiers, no seats, no hidden fees -- pay only for what you use.

## Core Positioning

Agentuity is an agent-native cloud platform--not a traditional PaaS with AI bolted on. Every primitive is designed for long-running, stateful, reasoning agents. The platform provides unified infrastructure (runtime, storage, sandboxes, observability, evals, AI gateway) so teams ship agent-powered products in hours instead of weeks.

**Key differentiators:**
- Agent-native design: every service designed for programmatic agent access (ctx.kv, ctx.vector, ctx.storage, ctx.sandbox)
- Full-stack platform: one platform replaces Redis + Pinecone + E2B + LangSmith + custom infrastructure
- Evals on every production session, running after agent response (zero latency impact)
- End-to-end type safety from agent code to React frontend
- Deploy anywhere: public cloud, VPC, on-prem, or edge via the Gravity Network
- Framework-agnostic: works with Mastra, AI SDK, LangChain, LangGraph, or custom code
- Open source SDK (Apache 2.0) with zero lock-in

## Use Cases

- **Deploy AI agents to production**: Go from local development to production deployment with a single CLI command. No IAM roles, security groups, or load balancers to configure.
- **Multi-agent orchestration**: Build systems where agents coordinate, delegate, and communicate with each other using built-in agent-to-agent communication primitives.
- **AI agent observability and tracing**: Get automatic OpenTelemetry tracing, structured logging, cost-per-span tracking, and session-level debugging without configuration.
- **Secure code execution with sandboxes**: Run untrusted or generated code in isolated Linux containers with managed infrastructure, network isolation, and resource limits.
- **AI agent evaluation and testing**: Run production evals on every session to catch regressions on real traffic -- not just in CI. Over 10 built-in presets including safety, PII detection, and adversarial attacks.
- **LLM routing via AI Gateway**: Access OpenAI, Anthropic, Google, Groq, Mistral, and more through a unified gateway with consolidated billing, intelligent routing, and detailed cost tracking.
- **TypeScript AI agent development**: Build agents with end-to-end type safety from agent code to React frontend hooks. Full TypeScript SDK with framework-agnostic design.
- **Agent-powered applications with React**: Deploy React frontends alongside agents with type-safe hooks, streaming responses, WebSocket connections, and SSE pre-configured.

## How Agentuity Compares

**Agentuity vs Traditional Cloud (AWS, GCP, Azure)**: Traditional clouds provide raw building blocks but require manual assembly -- you provision compute, wire up databases, configure monitoring, and manage scaling yourself. Agentuity provides all of this as integrated, agent-native infrastructure with a single deployment command.

**Agentuity vs Kubernetes**: Kubernetes is a general-purpose container orchestrator, not designed for AI agent workloads. It requires significant expertise to configure, scale, and maintain. Agentuity abstracts away infrastructure complexity so developers focus on agent logic, not YAML files.

**Agentuity vs Serverless Functions (Lambda, Cloud Functions)**: Serverless functions are designed for short-lived, stateless request handlers. AI agents are long-running, stateful, and need persistent storage, inter-agent communication, and observability. Agentuity's agent-native runtime is built for these workloads.

**Agentuity vs Agent Frameworks (LangChain, CrewAI, AutoGen)**: Agent frameworks help you write agent logic but don't deploy, monitor, or scale it. Agentuity is the infrastructure layer that runs any framework in production with built-in observability, evals, storage, and sandboxes.

## Product Features

### Built-in Agent Services - Everything your agents need to thrive

Pre-configured services that eliminate weeks of setup. Deploy APIs, frontends, databases, and monitoring without touching infrastructure code.

 - [APIs](https://agentuity.com/product/apis): Hono routes with type-safe hooks. Define routes with familiar Hono patterns and Agentuity wires them to type-safe React hooks automatically. Use stream() middleware for real-time LLM responses. SSE and WebSocket routes work out of the box. Ephemeral streams flow directly to clients, or persist streams for replay later. Routes deploy automatically with your agents, with observability and evals working across routes and agents.
 - [Frontends](https://agentuity.com/product/react-frontend): Types from agent to component. Deploy React apps with end-to-end type safety flowing from your agent schemas to your hooks. Agent schemas produce typed hooks via @agentuity/react. useAPI, useWebSocket, and useEventStream all know your data shapes at compile time. Streaming responses, WebSocket connections, and SSE are pre-configured. Deploy your frontend with your agents or separately on any hosting platform you prefer.
 - [Database & Storage](https://agentuity.com/product/storage): Storage your agents can reach for. Redis KV for caching, session state, and rate limits. PG Vector for semantic search and RAG. S3-compatible object storage for files and artifacts. Durable streams for persisting streaming data with write-once, read-many semantics. All accessible from agent context via ctx.kv, ctx.vector, and ctx.storage without standing up infrastructure.
 - [Observability](https://agentuity.com/product/observability): Observability that's already on. OpenTelemetry tracing, structured logging, and session-based debugging are automatic. LLM calls, API calls, and storage operations are all traced automatically. See waterfall spans and traces grouped by session. Click into any span to see timing, prompts, responses, and costs. Logs and evals are attached to the same timeline. View sessions in the web console or query programmatically via CLI.
 - [Input & Output](https://agentuity.com/product/io): Connect agents to anything. Every agent is an API, so you can trigger it from anything that can make an HTTP request. Out of the box, Agentuity provides built-in support for REST APIs, webhooks, and cron schedules. Beyond that, wire up email, SMS, chat platforms, agent-to-agent calls, or any custom integration. Your agent code stays clean while integrations are configured separately.
 - [Evals](https://agentuity.com/product/evals): Evals that run in production. Most evals test individual LLM calls, but Agentuity evals test the complete input and output of your agent. Evals run after the agent has responded, so they never add latency to user-facing requests. Evals are packaged and deployed with your agent code. Run on live traffic and catch regressions in production. More than 10 built-in presets and growing, including safety, PII detection, adversarial attacks, and politeness. Define custom evaluators with LLM-as-judge, deterministic checks, or custom scoring functions. Each eval run appears as a span in your OpenTelemetry traces.
 - [Sandboxes](https://agentuity.com/product/sandboxes): Run untrusted code safely. Execute code in isolated Linux containers with managed infrastructure. One function call creates a sandbox, runs your command, and cleans up automatically. No containers to provision or orchestration to configure. Network disabled by default, resource limits enforced, execution timeouts prevent runaway processes. Sandboxes can access your project's production services (KV, Vector, Storage) when needed. Supports Bun, Python, Node.js, Golang, Claude, Codex, headless browsers, and more runtimes are added constantly. Create snapshots to save sandbox filesystem states for faster cold starts and skip dependency installation.
 - [Workbench](https://agentuity.com/product/workbench): Schema-aware testing for AI agents. Workbench reads your agent schemas and auto-generates the right input forms. Test local and deployed agents with the same interface. No more hand-crafting JSON payloads. Point to a local dev agent or a deployed agent with no config changes. Every run surfaces session information including OpenTelemetry traces and logs for full visibility into agent behavior.
 - [AI Gateway](https://agentuity.com/product/ai-gateway): Call models with no API keys. Without a key in your code, calls are automatically routed through Agentuity's AI Gateway. Access OpenAI, Anthropic, Google, Groq, Mistral and more with higher rate limits, unified billing, and detailed cost tracking. Every request gets detailed telemetry via OpenTelemetry: token usage, costs, latency, error rates, and span-level debugging. Use our keys or bring your own.
 - [Custom Domains](https://agentuity.com/product/custom-domains): Your domain, fully managed. Point your domain at any agent or frontend. SSL certificates, DNS routing, and load balancing are handled for you. Define custom domains in your project config--version controlled, reproducible, and deployed atomically with your agents. Your custom domain gets the same global edge network with low latency worldwide, DDoS protection, and automatic failover.

### Serious Agents, Anywhere - Agentic software on your terms

Deploy to our cloud for speed, your VPC for control, or on-prem for complete sovereignty. Same agent code, same developer experience, zero vendor lock-in.

 - Public Cloud: Deploy your agents to our public cloud for speed and scalability. Our global edge network ensures sub-100ms cold starts and automatic scaling to meet your needs.
 - Private Cloud: Deploy your agents to your own private cloud for control and security. Your data never leaves your own infrastructure.
 - Multi-Cloud: Deploy your agents to multiple clouds for flexibility. Your agents can run on any cloud provider you choose.
 - On-Prem: Deploy your agents to your own on-prem infrastructure for agent sovereignty. Your data never leaves your own infrastructure.
 - Edge: Deploy your agents to the edge for low-latency. Your agents can run on any edge device you choose.

## About Agentuity

> Mission control for the AI agent revolution. We're building the infrastructure layer that powers the next generation of autonomous AI applications.

### Our story

Agentuity was born from seeing developers and companies struggle with the same challenges: building and rebuilding infrastructure to manage AI agents at scale.

We envisioned a world where teams could focus on building incredible AI applications without worrying about the operational complexity beneath. That's why we created the first mission control center for AI agents.

Agentuity was founded by Jeff Haynie, Rick Blalock, Matthew Congrove, Robin Diddams and Bobby Christopher in early-2025 in Austin, Texas.

### Our vision

We believe in the near future there will be a world of autonomous AI software agents. This with the best of human ingenuity will solve the world's most complex problems.

We believe today's edge based cloud computing is insufficient to support the unique needs of millions of autonomous AI agents, which will be deployed to work in the real world and leverage proprietary knowledge and tools inside the enterprise.

We believe tomorrow's fully autonomous AI agents will require the ability to self-learn, self-replicate and self-heal in a safe, secure and scalable computing environment.

We are building this future today.

### Backed by industry-leading investors

In early 2025, we raised a $4M seed round led by top-tier investors ("boldstart ventures", "Bloomberg Beta", "Southern Equity" and "OneSixOne Ventures") who share our vision for the future of AI infrastructure. Our backers bring deep expertise in enterprise software, AI/ML, and building developer platforms at scale.