GREA

Platform

Agent Orchestration Runtime

A runtime for multi-step agents — tool calls, state, retries, and human-in-the-loop — running reliably in production.

All products

Durable state across long-running steps

Human-in-the-loop approvals

Replayable traces for every run

Overview

The Agent Orchestration Runtime turns prototype agents into durable production workloads. Define tools and steps, and the runtime handles state, retries, timeouts, and approvals — with full traces of every decision so you can debug and improve what your agents actually did.

How it works

Define your tools and steps once; the runtime takes over state management, retries, and timeouts as the agent executes. When a step needs a human sign-off, execution pauses and resumes automatically once approved — with a full, replayable trace of every decision the agent made along the way.

What's included

A managed execution runtime, durable state storage, configurable human-in-the-loop approval gates, and a trace viewer for debugging exactly what an agent did and why.

See it in action

Book a walkthrough and we'll show it running against a stack like yours.

Agent Orchestration Runtime for Production AI — GREA