Fetch.ai AI technology page Top Builders

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

Fetch.ai

Fetch.ai is an open-access blockchain-and-AI stack that lets anyone create autonomous software agents capable of making decisions, exchanging value, and collaborating without human micromanagement. Founded by Humayun Sheikh, Toby Simpson, and Thomas Hain in 2019, the project pairs an agent runtime (the uAgents framework) with a Cosmos-SDK–based ledger, on-chain identity, micropayments in FET, and a growing suite of developer tools—laying the groundwork for a truly decentralized “Internet of Agents.”

General
Release date	March 2019 (Binance Launchpad IEO)
Founders	Humayun Sheikh, Toby Simpson, Thomas Hain
Type	Decentralized AI-Agent Platform

Core Features

uAgents Framework – Build lightweight Autonomous Economic Agents with the Python SDK, capable of on-chain and off-chain interactions.
Agentverse – A cloud IDE & marketplace for hosting and monetizing agents; explore the docs at docs.agentverse.ai.
DeltaV Chat Interface – A conversational gateway where users can talk to agents via natural language; see the intro blog “Welcome to DeltaV.”
Fetch Ledger – Secure consensus, smart contracts, and FET-denominated fees on the main network.
Almanac Contract – An on-chain registry that lets agents publish metadata and be discovered; details in the Almanac docs.

Tools & Resources

Source & SDKs on GitHub
Quick-start guides in the Agentverse Docs
Live chat with agents via DeltaV
Staking walkthrough: Different Ways to Stake FET
Bridging guide: Native vs ERC-20 FET

Ecosystem & Integrations

Mobility & Smart Cities – Real-time traffic and parking optimization powered by Fetch agents: “How AI Agents Are Revolutionizing Mobility and Smart Cities.”
DeFi & Trading – Agent-based execution on DEXs with the toolkit announced in “Agent-Based Trading Tools for Decentralized Exchanges.”
Supply Chain Automation – Autonomous logistics coordination featured in Moralis Academy’s “Deep Dive on Fetch.ai.”
Energy Management – Peer-to-peer energy-grid balancing showcased in “Fetch.ai Powers Sustainability with AI Agents.”
Artificial Superintelligence Alliance (ASI) – Token merger with SingularityNET & Ocean Protocol; see “Fetch.ai, SingularityNET and Ocean Protocol Unite.”

Fetch.ai continues to expand its toolkit and partnerships, positioning autonomous agents as a practical layer for decentralized AI across finance, mobility, energy, supply chain, and beyond. To start building, dive into the Agentverse docs or clone examples from the Fetch.ai GitHub—then deploy and monetize agents directly on the Fetch Network.

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Fetch.ai AI technology page Hackathon projects

Discover innovative solutions crafted with Fetch.ai 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

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.*

Voyager AI

This AI-powered Travel Shopping Assistant is a modern web application built using Streamlit, designed to simplify online shopping for travel essentials. Users can search for products like backpacks, adapters, luggage, and more using text or voice commands thanks to integrated speech recognition (speech_recognition) and text-to-speech (gTTS) systems. The assistant fetches real-time product listings from eBay and AliExpress via RapidAPI, filters them by country, and displays results using modern, interactive UI cards. Users can add items to a persistent cart, view or remove items, and complete a simulated checkout process with shipping details and payment selection. Behind the scenes, Neo4j Graph Database stores user behavior including searches and popular queries, enabling personalized recommendations. Whether you're casually browsing or ready to place an order, this assistant provides an intuitive, voice-guided shopping experience tailored for frequent travelers.

EventMate

EventMate is an autonomous, AI-powered networking companion built for attendees of hackathons, conferences, and summits. It intelligently matches participants based on shared interests, availability, and goals, helping them discover relevant, high-value connections — all powered by decentralized Fetch.ai agents and LLMs running on Groq. At large events, meaningful connections often get lost in the crowd. Despite thousands of attendees, people frequently leave without meeting potential collaborators, mentors, or co-founders. Traditional networking apps are passive and centralized — they lack context, privacy, and agency.

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.

Style Genie - Vultr Track

StyleGenie is an AI-driven fashion recommendation system designed to transform the online shopping experience. By integrating StyleGenie into their platforms, fashion retailers can offer hyper-personalized experience that drive discovery, increase conversions, and reduce returns. Beyond the customer-facing impact, StyleGenie empowers internal teams with real-time insights on trends, inventory optimization, and styling strategies. The result: smarter decisions, more efficient operations, happier customers — and a more sustainable fashion future. Behind the scenes, StyleGenie provides merchandising, marketing, and buying teams with actionable insights on emerging trends, customer behavior, and inventory optimization. This empowers smarter decision-making across the fashion value chain, from styling to stock planning. By aligning business performance with customer-centric innovation and sustainable practices, StyleGenie helps fashion brands stay ahead in a fast-changing digital market.