1. Multi-Agent Research and Report Generation

2. Autonomous Customer Support Systems

3. Tool Orchestration and API Delegation

4. Cross-Framework Agent Collaboration

5. Decentralised Marketplace for Agent Capabilities

6. Secure Multi-Agent Coordination in Finance and Trading

7. Collaborative AI in Enterprise Workflows

Coral Protocol enables a range of applications where agents need to collaborate, coordinate, and operate across different systems and contexts.  

Key Use Cases

Coral Protocol

Coral Protocol is a decentralised coordination infrastructure designed to enable collaboration between intelligent, modular AI agents. It provides a shared communication layer and protocol standard that allows independently developed agents to register, advertise capabilities, form structured message threads, and participate in secure multi-agent workflows.

What is Coral Protocol?

As agent ecosystems continue to grow in complexity, multiple interoperability protocols have emerged to address the challenges of communication, coordination, and tool access among autonomous AI agents. These include Google’s Agent-to-Agent (A2A) protocol, OpenAgents’ Agent Network Protocol (ANP), and the AGNTCY initiative backed by players like LangChain, Cisco, and others.

Why Coral Protocol?

Why Coral Protocol

Coral Protocol is designed as a protocol layer that enables modular, cross-agent coordination across a decentralised network. Rather than functioning as a framework or a platform, Coral defines how agents communicate, collaborate, and manage memory in a structured, protocol-compliant environment.

How it works

Coral Protocol is designed to enable secure, modular, and decentralised coordination among AI agents. It is structured as a protocol layer rather than a platform, and supports interoperability between independently developed agents.

Design Philosophy

Coralized Agents are autonomous, modular services that follow a shared interface, allowing them to participate in collaborative workflows within the Coral Protocol. They can reason, take action, and interact with other agents in a structured and secure way.

Coralized Agents

The Coral Server acts as the runtime backbone of the Coral Protocol. It is the decentralised coordination layer responsible for managing agent execution, structured messaging, memory handling, and inter-agent collaboration.

Coral Server

The Model Context Protocol (MCP) is the foundational standard that governs how agents in the Coral Ecosystem describe themselves, communicate, invoke tools, and manage context. It provides a common language that enables independently developed agents to work together seamlessly.

Model Context Protocol

Model Context Protocol (MCP)

Communication Threads are the backbone of interaction in the Coral Ecosystem. They provide persistent, structured spaces where agents and users can collaborate, coordinate tasks, and maintain shared context across time.

Communication Threads

In the Coral Protocol, each Coralized Agent is defined by a structured identity, an assigned role, and scoped memory. These attributes establish how agents interact with the system and with one another, enabling trust, modularity, and controlled information sharing.

Identity, Roles & Memory

This guide walks you through setting up and running the Coral Server. the infrastructure layer for enabling agent-to-agent communication using Coral’s Model Context Protocol (MCP). The Coral Server allows agents to register, send and receive structured messages, and collaborate within thread-based conversations.

Run Coral Server

Once the Coral Server is running, you can initiate your first interaction between Coralized Agents using a thread-based communication model. This walkthrough demonstrates how agents interact through message passing, capability delegation, and scoped memory sharing.

Setup your first interaction

Before you begin working with Coral Protocol, ensure your system meets the following requirements. These tools support the Coral Server, Coralizer CLI, and agent development workflows.

Requirements

This guide explains how to install and run the Coral Server locally, which acts as the messaging and coordination layer between Coralized Agents. It also includes instructions for setting up the Coralizer CLI.

Install Guide

The Coralizer CLI is a command line tool that helps developers create, configure, and manage Coralized Agents. It streamlines the process of registering agents, managing communication threads, and simulating interactions. This guide provides an overview of the main commands and workflows.

This example demonstrates a basic multi-agent system using Coral Protocol and CAMEL agents to collaboratively solve a user query.

CAMEL-Based Multi-Agent Workflow

This example demonstrates how to convert a simple standalone tool into a fully Coralized Agent using the Coralizer CLI. It follows the protocol architecture outlined in the Coral whitepaper, where tools become discoverable and composable agents within the Coral Ecosystem.

Tool-to-Agent Conversion with Coralizer CLI

Coral is designed to strike a balance between flexibility and developer ergonomics — but as with any early-stage protocol, there are trade-offs. This section outlines current limitations and practical workarounds.

Limitations and Workarounds 

Coral Protocol provides a shared coordination layer that allows developers to integrate agent-based reasoning and task execution into their applications. Instead of building complex monolithic agents, Coral enables you to compose modular agents that communicate, delegate, and collaborate through structured threads.

Integrate Coral into your app

Deploying a multi-agent workflow with Coral involves composing specialised agents that collaborate through structured threads managed by the Coral Server. Each agent participates with a defined role, scoped memory, and capability set enabling secure and modular coordination.

Deploy a Multi-Agent Workflow

This section outlines the primary API endpoints exposed by the Coral Server. These endpoints support agent registration, thread lifecycle management, and message exchange within the Coral Protocol.

API Reference

This section addresses common issues encountered while working with the Coral Server, Coralizer CLI, and Coralized Agents. If you're running into problems during setup, agent execution, or interaction flows, refer to the following troubleshooting tips.

Troubleshooting

This section covers common questions developers and researchers have when getting started with Coral Protocol.

Introduction

Core Concepts

Quick Start

Installation

Examples

Limitations

Build with Coral

API Reference

Troubleshooting/FAQ

Key Use Cases

1. Multi-Agent Research and Report Generation

2. Autonomous Customer Support Systems

3. Tool Orchestration and API Delegation

4. Cross-Framework Agent Collaboration

5. Decentralised Marketplace for Agent Capabilities

6. Secure Multi-Agent Coordination in Finance and Trading

7. Collaborative AI in Enterprise Workflows

Introduction

Core Concepts

Quick Start

Installation

Examples

Limitations

Build with Coral

API Reference

Troubleshooting/FAQ

​1. Multi-Agent Research and Report Generation

​2. Autonomous Customer Support Systems

​3. Tool Orchestration and API Delegation

​4. Cross-Framework Agent Collaboration

​5. Decentralised Marketplace for Agent Capabilities

​6. Secure Multi-Agent Coordination in Finance and Trading

​7. Collaborative AI in Enterprise Workflows

1. Multi-Agent Research and Report Generation

2. Autonomous Customer Support Systems

3. Tool Orchestration and API Delegation

4. Cross-Framework Agent Collaboration

5. Decentralised Marketplace for Agent Capabilities

6. Secure Multi-Agent Coordination in Finance and Trading

7. Collaborative AI in Enterprise Workflows