Coral Protocol AI technology page Top Builders

Explore the top contributors showcasing the highest number of Coral Protocol AI technology page app submissions within our community.

Coral Protocol

Coral Protocol is an open, decentralized infrastructure enabling AI agents to communicate, coordinate, and transact securely. Built on the Model Context Protocol (MCP), it facilitates the development of interoperable multi-agent systems, fostering the emergence of the "Internet of Agents."

Designed to be modular, trustless, and scalable, Coral Protocol enables intelligent agents—LLMs, bots, or autonomous scripts—to advertise capabilities, initiate tasks, and collaborate via structured message exchanges. The system integrates decentralized identity, on-chain micropayments using the $CORAL token, and a memory-augmented communication framework to support both composable pipelines and dynamic task execution. Its architecture empowers developers to build robust agent ecosystems that are open, interoperable, and economically sustainable.

General
Release date	2025
Authors	Roman J. Georgio, Caelum Forder, Suman Deb, Peter Carroll, Önder Gürcan
Type	Decentralized AI Agent Protocol

Coral Protocol - Core Features

Explore Coral Protocol’s foundational components for building collaborative AI agent ecosystems:

Model Context Protocol (MCP): A standardized messaging framework enabling structured communication between agents.
Coral Server: The runtime backbone managing agent execution, structured messaging, memory handling, and inter-agent collaboration.
Coralized Agents: Agents integrated into the Coral ecosystem using Coralizer modules, allowing them to advertise capabilities and participate in collaborative tasks.

Coral Protocol - Tools & Resources

Leverage Coral Protocol’s tools to develop and manage AI agents:

Coral Server GitHub Repository: Access the source code and documentation for deploying the Coral Server.
Coralizer CLI: Command-line tool for integrating external models, scripts, or services into the Coral ecosystem.
Quickstart Guide: Step-by-step instructions to set up and run the Coral Server.

Coral Protocol - Ecosystem & Integrations

Coral Protocol supports integration with various AI frameworks and tools:

Use Cases: Examples of collaborative, multi-agent AI applications.
Coral Whitepaper: Academic overview of Coral Protocol's vision and architecture.
Coral Discord: Community discussions, support, and announcements.

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Coral Protocol AI technology page Hackathon projects

Discover innovative solutions crafted with Coral Protocol AI technology page, developed by our community members during our engaging hackathons.

OrbiCommerce

Orbicommerce is a revolutionary global commerce platform that combines shopping, food ordering, and travel planning into one seamless, voice-first experience powered by intelligent digital agents. When you share an image of a product, Orbicommerce instantly scrapes the web to find the best prices and deals across multiple marketplaces, saving you time and money. It learns from your shopping, food, and travel habits to personalize your entire experience — from creating travel itineraries with restaurants tailored to your tastes, to alerting you about upcoming offers or reminding you when you might be running low on essentials like milk. Built on ultra-fast Groq AI processors, autonomous Fetch.ai agents, and secure Coral Protocol technology, Orbicommerce replaces confusing, scattered apps with a single intelligent assistant that listens to your voice and adapts in real time. It empowers small businesses with easy-to-use tools, while giving shoppers around the world a connected, effortless way to buy, eat, and travel smarter. Orbicommerce is the future of commerce — where every choice is smart, personalized, and perfectly connected across all your needs

Legal E-commerce AI Agent

Urdu Legal E-Commerce Agent is an adaptive, multi-agent system designed to make everyday legal help accessible to millions of Urdu speakers. ⚖ The platform combines a Retriever Agent (fetches relevant clauses), Parse & Simplify Agent (explains in simple Urdu), Risk Advisor Agent (identifies hidden risks), and a Draft Notice Agent (auto-generates notices). 📚 All interactions are saved in a reusable user profile (stored as a knowledge graph), allowing personalized follow-ups and connected services in future. 🤝 The system empowers small landlords, tenants, and small businesses with an easy-to-use Urdu Q&A interface, clause simplifier, risk checker, and notice generator — all from local Urdu legal texts like the Rent Act and Contract Act. 💡 The project demonstrates practical agentic capabilities, Groq API + Llama integration, clean local embeddings, and a scalable design ready for more laws, languages, and paid legal services in the future

EchoMate

Our project is an innovative Flutter-based e-commerce app powered by a multi-agent system that transforms how users interact with services like food ordering, travel booking, and shopping for products from multiple sellers. Instead of switching between separate apps, users simply chat—via text or voice—with friendly AI agents who handle everything from discovering restaurants and booking hotels to finding the best marketplace deals across platforms like OLX or Amazon. At the heart of the app is a knowledge graph that stores user preferences and insights from each task, enabling hyper-personalized recommendations across different domains. Agents communicate with each other using the Coral Protocol, ensuring seamless coordination and intelligent multi-step planning. By combining voice-first UX, advanced AI models like Groq API and LLaMA, and a multi-seller marketplace flow, our app offers users a unified, personalized, and conversational e-commerce experience — making shopping, dining, and travel feel as simple as chatting with a trusted friend.

Thinq - Qubic Track

📊 Understanding the Challenge Challenge A: Running Al Models on Qubic Nodes. Qubic nodes are not traditional compute environments like Docker or VM runners. They're designed for: - Deterministic compute (verifiable) - Time-based execution (ticks) - Cryptoeconomic security via Corol Protocol ### 2. Problem: . **Running non-deterministic Al models (like LLaMA) is**: - Heavy on resources (RAM, GPU) - Probabilistic in nature - Difficult to verify on-chain or across nodes This project is a decentralized microtasks platform where users can submit small tasks, such as summarization or classification, and have them processed by Al models like Llama 3 running on decentralized compute (Qubic nodes with Groq). Smart contracts manage task submission, escrow, and payments to node operators. Corol Protocol ensures consensus and trust in result verification.*

AURA - VULTR TRACK

In high-stakes industrial environments like refineries and data centers, operational errors lead to costly downtime and significant safety risks. Technicians often work under immense pressure, relying on dense manuals and remote support, a process that is slow, inefficient, and prone to human error. AURA transforms this chaotic reality by providing a cognitive partner for every technician. It is a real-time, multi-modal, AI multi-agent system designed to deliver clear, interactive guidance for critical tasks. Deployed on a production-grade stack on Vultr, AURA demonstrates a true "Future of Work" agentic workflow. The system's core is a master LangChain agent that reasons, plans, and orchestrates a team of specialist agents managed by Coral Protocol. When a technician presents a problem using voice commands and a device camera, AURA's agents collaborate: A Vision Agent with a custom YOLOv8 model or llama vision"sees" the equipment. A Command Agent powered by Groq's Llama 3 API understands the user's intent. A Procedure Agent securely queries a Snowflake database for the official SOP. AURA then provides guidance through synthesized voice and visual overlays, turning a complex operation into a safe, efficient, and fully auditable procedure.

CyberCortex

CyberCortex is an autonomous AI cybersecurity framework designed to identify and neutralize threats in real-time. It uses Fetch.ai agents to continuously monitor network activity, which is structured and analyzed by Snowflake for potential vulnerabilities. Coral orchestrates Groq instances that evaluate threat severity and simulate intelligent attack strategies. Blackbox AI generates exploit code to safely test system defences. This entire closed-loop system enables real-time detection, strategy generation, and defence validation, allowing organisations to stay ahead of evolving cyber threats. Its modular architecture ensures scalability, adaptability, and future integration with compliance frameworks and hardware-level security systems.