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

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MongoDB AI technology page Hackathon projects

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

LearnArc – Pay-Per-Use AI Learning Platform

LearnArc – Pay-Per-Use AI Learning Platform

LearnArc is a pay-per-use AI education platform designed to make learning more flexible and cost-efficient. Instead of paying upfront for full courses, users are charged micro-amounts based on actual consumption — per minute of video watched, per page of PDF read, and per AI tutor interaction. The platform uses a modern full-stack architecture with a Next.js frontend deployed on Vercel and a FastAPI backend hosted on Render. MongoDB is used for storing users, courses, lessons, transactions, and chat history. The backend follows a clean layered architecture (Controller → Service → Repository) to ensure scalability and maintainability. An integrated AI tutor enhances the learning experience by providing real-time assistance using LLM APIs. Every interaction is tracked and priced dynamically, enabling a true usage-based billing model. The system also includes authentication with JWT, transaction tracking, and a wallet system that aggregates user spending. Although blockchain payments are currently mocked, the architecture is designed to easily integrate real micropayments such as USDC in the future. This project demonstrates how AI, microtransactions, and modern cloud deployment can be combined to build the next generation of accessible and fair digital education platforms.

Agent market

Agent market

AgentMarket is an autonomous agent-to-agent payment marketplace built on Arc blockchain using Circle Nanopayments and USDC. It solves a core problem in the agentic economy: AI agents cannot pay each other on traditional blockchains because gas fees ($2–$5 per transfer on Ethereum) make sub-cent transactions completely unviable. Arc with Circle Nanopayments eliminates this — enabling $0.001 per-job settlements that are profitable at scale. How it works: A user submits a prompt. The Orchestrator agent breaks it into subtasks and autonomously hires three specialists. The ResearchAgent gathers information. The WriterAgent produces polished content. The AnalystAgent scores quality with a structured evaluation. Each hire triggers one Circle Nanopayment on Arc — three on-chain transactions per request at $0.003 USDC total. Every agent has its own Circle wallet on Arc. Payments flow wallet-to-wallet between agents, creating a genuine decentralized agent labor market. All transactions are verifiable on the Arc Block Explorer in real time via Socket.io live feed. Stack: Node.js, Express, React 18, MongoDB, Socket.io — full MERN with MVC architecture. Circle Wallets API provisions one wallet per agent and per user. Circle Nanopayments handles sub-cent USDC transfers. Gemini 1.5 Flash powers agent intelligence. Business model: 10% platform fee on agent payments. At one million jobs per day at $0.001 each, that is $1,000 daily volume generating $100 passive revenue — only possible because Arc makes gas costs negligible. AgentMarket proves the agentic economy is real and it runs on Arc.

BodyForgeAI – AI Fitness Coach & Blockchain Pay

BodyForgeAI – AI Fitness Coach & Blockchain Pay

BodyForgeAI is an intelligent fitness platform that combines AI coaching, personalized wellness planning, and blockchain-powered payments into one seamless experience. Users interact with an AI coach that asks smart questions about their goals, fitness level, body type, diet preferences, schedule, and lifestyle. Based on the conversation, the AI instantly generates customized workout routines and meal plans designed specifically for each user. Instead of manually building plans step by step, users receive complete ready-to-use fitness programs in seconds. These plans can be saved directly to a personal dashboard where users can view, manage, update, and track their progress anytime. Users can also modify plans whenever their goals change, such as fat loss, muscle gain, endurance, or general health improvement. The platform focuses on convenience and personalization. Whether someone is a beginner starting their fitness journey or an experienced athlete looking for structure, BodyForgeAI adapts recommendations based on real user needs. To support secure and transparent monetization, BodyForgeAI integrates Circle payments and ARC blockchain infrastructure. Users with funds in their connected wallet can instantly pay for services directly on-chain. Each API request costs 0.001 USDC, while AI token usage is billed at 0.01 USDC per 1,000 tokens. This creates a simple pay-as-you-go model where payments are automatic, fast, and only charged when features are used. BodyForgeAI demonstrates how AI can transform personal fitness coaching while blockchain enables trusted digital payments. It is a modern solution for users who want expert-level guidance, automation, and full control of their fitness journey in one platform.

OpenFlow™: Software Development Kit (SDK)-v.1.0.2

OpenFlow™: Software Development Kit (SDK)-v.1.0.2

OpenFlow™ is a programmable monetisation engine built for the agentic economy, where APIs, AI agents, and digital services exchange value in real time. Traditional systems fail to support high-frequency, low-value transactions due to latency, batching, and gas costs, making per-action pricing impractical. OpenFlow solves this by enabling deterministic, sub-cent payments using USDC on Arc with Circle Nanopayments. At its core, OpenFlow introduces an economic execution layer (settlement layer) where every interaction—API call, compute task, or agent action—is a billable event. Transactions settle instantly on-chain, allowing precise usage-based pricing without subscriptions. The architecture consists of four layers: execution (Arc + USDC settlement), monetisation (per-request pricing and metering), agent interaction (AI agents triggering payments via APIs), and application (marketplaces and micro-commerce systems). Anchored as a per-API monetization engine, OpenFlow also enables agent-to-agent payments, usage-based billing, and real-time micro-commerce. Our demo includes 50+ on-chain USDC transactions representing API calls, agent payments, and compute usage, all priced at sub-cent levels. OpenFlow transforms APIs into revenue-generating endpoints and AI agents into autonomous economic participants, establishing a scalable foundation for machine-to-machine commerce.

Arc Agent Economy

Arc Agent Economy

ARC Agent Economy is a decentralized infrastructure for the autonomous workforce of the future. While AI agents are becoming increasingly capable, they are currently crippled by the "Economic Margin Crisis"—where the gas costs of traditional on-chain settlement often exceed the economic value of micro-tasks by over 10,000x. To solve this, we introduce the Dual-Engine Sovereign Model. Engine A provides ironclad on-chain escrow for high-value projects, while Engine B utilizes a memory-mapped nano-payment state channel for high-frequency micro-commerce. By leveraging Circle HSM vaults and x402 batching, we enable agents to bid, work, and settle autonomously with institutional-grade security and zero plain-text secret exposure. Security in the ARC Agent Economy is solved through a multi-layered, non-custodial framework that eliminates the single points of failure common in traditional agent platforms. We leverage Circle's institutional HSM (Hardware Security Module) and MPC (Multi-Party Computation) infrastructure, ensuring that agent private keys are never stored in plain text and never leave physically isolated, FIPS-compliant hardware. Complementing this is our proprietary 'Hashed Handshake' protocol, which allows the Sovereign Hub to authenticate agents using SHA-256 fingerprints without ever seeing or storing their secrets. This air-gapped architecture ensures that even in the event of a full server compromise, agent funds remain untouchable and identity integrity remains fully intact on-chain. Our core innovation is Recursive Agentic Commerce (A2A2A). This allows agents to autonomously hire other specialized agents across protocols—as demonstrated by our live Paymind Intelligence Bridge—to fulfill complex missions without human intervention. Verified benchmarks show our swarm-optimized batching is 17x faster and 26x cheaper than standard on-chain execution, finally making true agentic global markets a reality.

TrustTrade AI: Verifiable Autonomous Trading Agent

TrustTrade AI: Verifiable Autonomous Trading Agent

TrustTrade AI is a trust-minimized autonomous trading agent designed to operate safely in decentralized financial environments. The system combines AI-driven decision-making with on-chain verification to ensure that every trading action is transparent, explainable, and auditable. The agent analyzes real-time market data using intelligent strategies powered by a FastAPI and LangChain-based backend. It generates structured trade decisions including reasoning, confidence scores, and risk assessments. These decisions are converted into signed trade intents using EIP-712 and executed through a secure risk-controlled routing mechanism on the blockchain. To address the core challenge of trust in AI systems, TrustTrade AI integrates ERC-8004 registries for identity, reputation, and validation. Each action performed by the agent is recorded as a verifiable signal, allowing the system to build a measurable on-chain reputation based on performance, risk management, and validation quality rather than opaque outputs. Beyond execution, the platform introduces an advanced explainability layer that provides step-by-step reasoning, “why” and “why not” analysis, and confidence metrics for every trade. A replay engine allows users to trace decisions across time, while a strategy comparison and simulation engine demonstrates performance against alternative approaches. The system also includes dynamic risk intelligence, where the agent adapts its trading behavior based on drawdown, volatility, and historical outcomes. This ensures capital protection and responsible automation, moving beyond profit-only optimization. By combining AI intelligence, blockchain verification, and user-centric transparency, TrustTrade AI transforms trading agents from black-box systems into accountable financial entities. This project demonstrates a scalable foundation for deploying trustworthy autonomous agents capable of managing real capital in decentralized ecosystems.