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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Coral Protocol
Coral Protocol

Coral Protocol

Founded by Roman J. Georgio in 2025

Orchestrate composable multi-agent graphs and connect them directly into production applications

Pricing model

Pay-as-you-go

Rating

★ People love it

Time to value

Quick Setup (< 1 day to test basic agent workflows), deeper infrastructure & production value over weeks

You can use CoralOS to build, orchestrate, and supervise networks of autonomous agents in production environments. It connects agents written in different languages and frameworks into coordinated workflows. You can configure supervisors, pipelines, topic threads, and negotiation setups to direct how agents share data and complete tasks. The system isolates execution sessions, manages tool permissions, and enforces human-in-the-loop approval boundaries. You can also inspect communication telemetry, trace agent decisions, route model requests across providers, and track inference costs from a unified runtime interface.

What Coral Protocol does

Build supervisor and pipeline workflows for coordinated agentsRoute model requests and configure fallbacks across providersInspect telemetry and message logs across agent threadsDefine permission boundaries and human approval checkpointsCreate isolated runtime sessions for individual API requestsTrack model usage and compute costs across agent sessionsConnect external tools and webhooks to agent graphsDynamic agent graph coordination using supervisor and pipeline structuresIsolated execution sessions for each individual requestStrict permission boundaries with human-in-the-loop approval checksFull inspection of agent communication threads and message telemetryMulti-model routing with automatic fallback configurationsZero-trust agent runtime for on-premise and enterprise cloud deploymentsCost and resource tracking across active agent teams

Pricing breakdown

Pricing model: Pay-as-you-go

Frequently asked

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Used by

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CoralOS, agent orchestration, multi-agent systems, AI agents, agent communication, runtime security, agent graphs, LLM routing, telemetry, model fallbacks