Top Builders

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

MongoDB: The Developer Data Platform

Get the latest and greatest with MongoDB 6.0! Build faster and smarter with a developer data platform built on the leading modern database. Whether you’re tackling transactional, search, analytics, or mobile use cases, MongoDB has you covered. Plus, enjoy a common query interface and a data model that developers love.

General
PlatformMongoDB
Repositoryhttps://github.com/mongodb/mongo
TypeNoSQL Database

Key features

Build Faster: Ship and iterate 3–5x faster using MongoDB’s document data model. Enjoy a unified query interface for any use case.

Scale Further: Whether it’s your first customer or 20 million users, meet your performance SLAs in any environment.

Safety first: Ensure high availability, protect data integrity, and meet security and compliance standards for mission-critical workloads.

Fully Managed in the Cloud: Start in seconds and scale to millions with MongoDB Atlas, our cloud services. Explore a multi-cloud developer data platform for various use cases, from transactional to analytical.

Mobile Real-Time Data at the Edge: Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution.

Self-Managed Option: Run MongoDB anywhere, from your laptop to your data center.

Community Edition: Our distributed document database is where it all began. Free forever with seamless migration to Atlas.

Enterprise Advanced: For robust features and support, consider the enterprise version.

Built by Developers, for Developers: MongoDB’s document data model maps to how developers think and code.

What You Can Do with MongoDB

It’s a flexible document data model that lets you ship and iterate faster. Enjoy a unified query interface for all use cases. Whether it’s your first customer or 20 million users worldwide, MongoDB ensures performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet security and compliance standards for your mission-critical workloads. Plus, MongoDB Atlas provides fully managed cloud services, and you can run it anywhere, from your laptop to your data center.

AI Tutorials

Edit on GitHub

MongoDB AI technology page Hackathon projects

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

Ridhwan

Ridhwan

AI agents are becoming autonomous economic actors — trading tokens, deploying contracts, managing treasuries. But enterprises won't trust them with real money without guardrails. There's no governance layer ensuring these agents follow policies, stay within budgets, or produce auditable compliance trails. Ridhwan solves this. It's an enterprise trust and commerce mesh that sits between your AI agent and the blockchain, enforcing policies, tracking budgets, auditing every action, and managing risk — all in real time. Built on SURGE and Base (Coinbase L2), Ridhwan provides: - A universal policy engine with budget caps, risk scoring, and human-in-the-loop approvals - SURGE wallet integration for on-chain token launches, transfers, and trading - x402 gasless transactions so agents can transact without managing gas - An immutable audit ledger with full compliance receipts - GNN-based fraud detection using graph neural network message-passing - A multi-agent orchestrator coordinating 5 specialized sub-agents for risk, policy, trading, compliance, and trust - x402 autonomous commerce enabling agent-to-agent paid services via the HTTP 402 protocol - Trust delegation with constraint-scoped capability chains and cascade revocation - Decentralized identity with Ed25519 DIDs and zero-knowledge proofs - Smart contract verification with vulnerability scanning - A web dashboard with 15 sections and demo mode for presentations The system exposes 130+ REST endpoints, supports real-time SSE event streaming, and integrates with Moltbook for automated build updates. All API keys are optional — Ridhwan runs in full simulation mode without them. Built with TypeScript, OpenClaw, SURGE on Base, and the x402 Protocol.

SuperPage - AI-Native Commerce Platform

SuperPage - AI-Native Commerce Platform

AI agents can browse, compare, and recommend what to buy, but they still can’t reliably transact. Premium APIs, digital content, and 2M+ Shopify stores are locked behind human-centric checkout flows with no standard for agents to discover what’s for sale, check prices, obtain consent, pay on-chain, and receive access. SuperPage is a full-stack, AI-native commerce layer where humans and AI agents are both buyers and creators. Any human or agent can spin up a storefront, list resources, and start charging USDC micropayments on Base Sepolia in minutes. The platform currently exposes 26+ payment-gated resources (APIs, datasets, guides, articles) plus Shopify-backed physical products via an Express/TypeScript/MongoDB backend and x402 paywalls. ​ On top of this marketplace fabric, SuperPage ships multiple agent interfaces: an OpenClaw skill that powers @HeySuperioBot on Telegram for autonomous “preview → confirm → pay → deliver” flows; an MCP server with 12 tools for Claude Desktop (discover, list, search, preview, buy, wallet, browse-products, order-status, etc.); and a multi-LLM CLI agent that works with Anthropic, OpenAI, and Google models via the Vercel AI SDK.​ Under the hood, SuperPage implements five agent protocols—x402 (HTTP 402 payment-gated resources), A2A (agent-to-agent discovery via JSON-RPC 2.0), AP2 (Google’s Agent Payments Protocol for mandate-based shopping), MCP (Model Context Protocol), and ERC-8004 (on-chain agent identity and reputation). A typical flow is: discover → preview price → user confirms → USDC transfer on Base Sepolia → on-chain verification → instant content delivery with an auditable receipt and tx hash. Safety features include spending caps, non-custodial wallets, short-lived payment windows, and full audit trails. Creators—human or agent—list once and earn from both humans and AI agents, while agent developers simply install the OpenClaw skill to let their agents shop and create across the entire marketplace immediately.

Communication Bridge AI

Communication Bridge AI

Communication Bridge AI is an intelligent platform that breaks down communication barriers between verbal and non-verbal individuals using cutting-edge AI technology. The system features real-time gesture recognition powered by MediaPipe, supporting 18 hand gestures including ASL signs like "I Love You," "Thank You," and "Help." Our multi-agent AI architecture includes Intent Detection, Gesture Interpretation, Speech Generation, and Context Learning agents coordinated by a central orchestrator. The platform offers bidirectional communication: verbal users can speak or type messages that are translated into gesture emojis, while non-verbal users can make hand gestures captured via webcam that are interpreted and converted to natural language responses. Built with Python FastAPI backend and vanilla JavaScript frontend, the system integrates Google Gemini AI for context-aware responses and MediaPipe for computer vision. Key features include user authentication with JWT, conversation history, three input methods (webcam, speech-to-text, text), and a freemium model with credit-based usage. The platform addresses a critical need for 466 million people with hearing loss and 70 million sign language users worldwide. Primary use cases include special education classrooms, healthcare patient communication, workplace accessibility, and family connections. The system achieves 92% gesture recognition accuracy with sub-500ms response times. Technical highlights: deployed on cloud infrastructure (Brev/Vultr), SQLite database for persistence, responsive web interface, and production-ready with systemd services and Nginx reverse proxy. The project demonstrates practical AI application for social good, aligning with UN Sustainable Development Goals for Quality Education and Reduced Inequalities. Live demo available at: https://3001-i1jp0gsn9.brevlab.com GitHub: https://github.com/Hlomohangcue/Communication-Agent-AI

RIFFAI

RIFFAI

RIFFAI’s hackathon prototype demonstrates an end-to-end pipeline for energy site intelligence. The prototype ingests multi-source satellite imagery (Google Earth Engine + direct providers), weather feeds and customer training sets; applies an ultra-fast image/geo-metadata alignment pipeline; runs geospatial segmentation (U-Net/CNN) and time-series forecasting (LSTM); and produces explainable suitability scores and a ranked list of candidate polygons for renewable energy deployment. A minimal React web UI or API visualizes results and emits a sample monitoring alert (thermal anomaly or vegetation/water change). The goal is to show that fast metadata processing + energy-tuned models produce practical, developer-ready outputs in near-real time. We’ll provide domain guidance, sample tiles and a small labeled set for teams that request it.

TradeX Unified Trading Intelligence Platform

TradeX Unified Trading Intelligence Platform

Most traders waste valuable seconds switching between multiple tools: TradingView for charts, Twitter for sentiment, separate apps for news feeds, alert systems, and trade journals. Each context switch costs focus and can mean missed opportunities in fast-moving markets. TradeX eliminates the chaos by bringing your entire trading workflow into a single, orchestrated environment. Built for active traders who demand speed and clarity, the platform integrates: ∙ Live Market Feeds: Real-time price data, volume analysis, and technical indicators ∙ AI-Powered Signals: Machine learning models that detect patterns and generate actionable trade ideas ∙ Behavioral Analysis: Track your trading psychology, entry/exit discipline, and risk patterns ∙ Smart Alert Pipelines: Configure multi-condition triggers across price, volume, sentiment, and custom indicators ∙ Visual Workflow Canvas: Drag-and-drop interface to wire up data sources, analysis tools, and execution layers Instead of opening five browser tabs and two desktop apps, you build your trading system once—connecting the market feeds, signal generators, and risk tools you trust—then let TradeX handle the coordination. Your configuration becomes your personal trading command center. Key Benefits: ∙ Reduce decision latency by consolidating information streams ∙ Maintain focus with unified alerts and notifications ∙ Build reproducible workflows that scale with your strategy ∙ Keep a synchronized journal and analytics dashboard alongside live markets Whether you’re scalping intraday moves or managing swing positions, TradeX adapts to your methodology while keeping everything you need within reach. Less window juggling. More profitable trades.

Vessel Guard-AI Based Human Factor Risk Detection

Vessel Guard-AI Based Human Factor Risk Detection

Vessel Guard is an AI-assisted maritime safety system designed to prevent human-error-related accidents caused by fatigue, stress, and reduced operational readiness onboard vessels. Life at sea exposes crew members to shift work, sleep fragmentation, vibration, isolation, and high-risk tasks in deck, engine, and bridge operations. While many shipping companies provide access to teletherapy with reactive tools and disconnected from daily operational safety decisions. They do not integrate fatigue thresholds, maritime regulations, or structured escalation to command. Vessel Guard addresses this by combining short daily crew check-ins with a deterministic rules engine based on MLC fatigue standards and wellbeing scales. The system translates human factors into operational risk levels ) and escalates only high-risk cases to the Captain or designated officer. The AI layer does not diagnose or classify risk. It extracts structured data and generates safety-focused summaries, while final decisions remain human-controlled. This human-in-the-loop design ensures regulatory alignment, privacy protection, and institutional credibility. Vessel Guard is designed for maritime sector seeking proactive duty-of-care compliance, improved safety culture, and measurable reduction of fatigue-related incidents—without adding administrative burden to crew.