Hero Banner

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Cloudflare Workers AI

Run machine learning models, powered by serverless GPUs, on Cloudflare's global network. Workers AI allows you to run AI models in a serverless way, without having to worry about scaling, maintaining, or paying for unused infrastructure. You can invoke models running on GPUs on Cloudflare's network from your own code — from Workers, Pages, or anywhere via the Cloudflare API.

General
AuthorCloudflare, Inc.
WebsiteCloudflare Workers AI
Documentationhttps://developers.cloudflare.com/workers-ai/
TypeServerless AI Inference Platform
Launch Year2023
GPU Network180+ cities globally

Features

50+ Open-Source Models

  • Text generation (Llama, Mistral, and more)
  • Text embeddings and classification
  • Image generation and classification
  • Automatic speech recognition
  • Translation models
  • Object detection capabilities

Serverless Infrastructure

  • Pay-for-what-you-use pricing model
  • Automatic scaling with demand
  • No infrastructure management required
  • Fast cold start times with V8 isolates

Global Edge Network

  • AI inference close to users for low latency
  • Models available in 180+ cities worldwide
  • Reduced network bottlenecks
  • Consistent performance globally

Developer Platform Integration

  • Seamless integration with Cloudflare Workers
  • Works with Pages for full-stack AI applications
  • REST API for platform-agnostic access
  • Integration with Vectorize (vector database)
  • AI Gateway for monitoring and control

Key Capabilities

  • Edge AI Computing: Run AI models at the network edge for minimal latency
  • Serverless GPU Access: Access powerful GPU infrastructure without provisioning
  • Model Catalog: Curated selection of popular open-source AI models
  • Real-time Inference: Low-latency AI processing for interactive applications
  • Global Deployment: Deploy once, run everywhere on Cloudflare's network
  • Integrated Ecosystem: Works with R2 storage, D1 database, and other Cloudflare services

Use Cases

  • Building AI-powered chatbots and conversational interfaces
  • Real-time content moderation and classification
  • Image and video processing at scale
  • Personalization and recommendation engines
  • Automated translation and localization
  • Voice recognition and text-to-speech applications
  • RAG (Retrieval-Augmented Generation) systems
  • AI-powered API endpoints and microservices

Supported Model Categories

  • Large Language Models: For text generation and chat applications
  • Embedding Models: For semantic search and similarity matching
  • Image Models: For generation, classification, and analysis
  • Speech Models: For transcription and synthesis
  • Vision Models: For object detection and recognition
  • Translation Models: For multilingual content processing
Edit on GitHub

Cloudflare Cloudflare Workers AI AI technology Hackathon projects

Discover innovative solutions crafted with Cloudflare Cloudflare Workers AI AI technology, developed by our community members during our engaging hackathons.

Lunar Graph - AI-Powered Fraud Ring Detection

Lunar Graph - AI-Powered Fraud Ring Detection

Deriv's compliance teams face 2,100+ fraud alerts weekly, 95% false positives. Each investigation takes 25+ minutes, creating weeks-long backlogs. Meanwhile, fraud rings go undetected because every individual account passes KYC, AML, and risk checks perfectly. The insight: fraud is invisible individually — it's obvious at the network level. LunarGraph maps every entity (partners, sub-affiliates, clients, trades, payments) into a knowledge graph, then deploys three AI agents in parallel: Graph Anomaly Agent — Detects structural patterns like one partner controlling 20+ accounts through layered sub-affiliates sharing IP addresses and device fingerprints. Temporal Intelligence Agent — Identifies coordinated opposite BUY/SELL trades placed within 30-second windows across linked accounts (mirror trading for commission extraction). Behavioral Trajectory Agent — Compares partner behavior against known fraud signatures to predict emerging schemes 2-3 weeks before activation. The platform connects to the real Deriv WebSocket API. Partners invite affiliates via unique referral links, each generating a tracked trading account with a TradingView-style interface. Every trade feeds into the graph engine for real-time correlation analysis. An AI Copilot synthesizes findings into case reports in 28 seconds via natural language queries. Results: 99.86% alert reduction, 28-second case generation (vs 25min manual), 14-day predictive lead time, $178K+ fraud exposure detected across 3 rings and 73 entities.

Secure-AI

Secure-AI

LLMs have recently adopted persistent memory to provide models with better user knowledge and personalisation. However, this introduces a new vector for adversarial manipulation. This report investigates Memory Injection, a threat model where adversaries exploit indirect prompt injection within web content to poison an agent's long-term memory. Employing user manipulation scenarios, we show that memory attacks, should they succeed, are effective at changing model behaviour towards the user, often more so than a direct system prompt. Hence, this highlights the need for more robust evaluations of memory updates in agentic memory systems.

AI Trading Coach - Deriv Smart Risk Assistant

AI Trading Coach - Deriv Smart Risk Assistant

AI Trading Coach is an AI-powered trading assistant designed to help traders make better decisions through analytics, risk insights, and coaching. The platform provides a clean dashboard showing portfolio KPIs such as portfolio value, win rate, total trades, and risk score. It also displays recent trades in a structured table and allows users to interact with an AI Coach chat system. The AI Coach provides trading guidance, risk management suggestions, and performance analysis. If the backend becomes unavailable, the system automatically switches into demo mode using mock trade data to ensure uninterrupted user experience. This project is focused on making trading safer, smarter, and more disciplined by combining AI-based insights with real trading metrics. It is built for fast deployment and real-world usability.

TradingAnalyst

TradingAnalyst

Aspiring Trade Wise AI is designed as an intelligent, user‑friendly platform that helps individuals understand financial markets and make more informed trading decisions. The idea is to combine clear market insights, simplified explanations, and AI‑powered guidance so beginners and intermediate traders can learn, practice, and grow with confidence. The project focuses on simplifying trading by offering structured learning paths, real‑time insights, and interactive tools that explain trends, risks, and strategies in an accessible way. The goal is to empower users to build long‑term trading skills, improve decision‑making, and navigate markets with greater clarity and discipline.

Community Issue Tracker

Community Issue Tracker

Making Our Community Better, Together admin@gmail.com Admin Gmail password is any elses Community Issue Tracker is a powerful platform designed to connect citizens and local authorities in a simple, transparent, and effective way. Our mission is to empower every resident to take part in improving their surroundings — from fixing broken streetlights and cleaning up public spaces to addressing safety hazards and infrastructure problems. With just a few clicks, you can raise your voice, share your concerns, and be part of the change that shapes a stronger, cleaner, and more responsive community. Together, We Build Better Communities Community Issue Tracker is more than just an app — it’s a movement towards accountability, transparency, and collaboration. When citizens and officials work hand in hand, every neighborhood becomes a better place to live. Let’s make our cities smarter, safer, and stronger — one report at a time.

Autonomous Treasury Management Dashboard

Autonomous Treasury Management Dashboard

AutoPilot is a full-stack platform designed to monitor, manage, and audit autonomous treasury rebalancing agents. The dashboard interface allows users to oversee critical system metrics such as active agents, queue depth, execution success rates, and error rates. By presenting each metric in an intuitive, analytics-driven UI, AutoPilot improves operational awareness and decision-making for teams managing automated treasury workflows. The platform includes dedicated sections for tasks, executions, approvals, audit logs, agent health checks, and system settings. Each module is structured to streamline oversight of automated processes while providing transparency, accountability, and performance insights. The system also includes real-time status indicators, activity trends, and agent-level health reports to ensure reliability at scale. The goal of AutoPilot is to provide a unified operational interface for teams working with autonomous financial or treasury automation agents, reducing human error while enhancing control, efficiency, and visibility across the entire automation pipeline.