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 manu […gekürzt]