AWS

Top Builders

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

AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Since its launch in 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries worldwide. AWS is a leader in cloud computing, offering services that span compute, storage, databases, networking, analytics, machine learning, artificial intelligence, Internet of Things (IoT), security, and enterprise applications.

General
Company	Amazon Web Services, Inc.
Founded	2006
Website	https://aws.amazon.com/
Documentation	https://docs.aws.amazon.com/
Technology Type	Cloud Provider

Start Building with AWS Products

AWS provides a vast array of services that enable developers and businesses to build sophisticated, scalable applications in the cloud. From foundational services like compute and storage to advanced machine learning and AI capabilities, AWS offers the tools needed to innovate and grow.

AWS SageMaker

AWS SageMaker is a fully managed machine learning service that enables developers to quickly and easily build, train, and deploy machine learning models at scale. You can find more information on our AWS SageMaker tech page.

AWS Kiro

Kiro is an AWS-powered agentic coding service that uses "spec-driven development" to turn prompts into code and tests. You can find more information on our AWS Kiro tech page.

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AWS AI Technologies Hackathon projects

Discover innovative solutions crafted with AWS AI Technologies, developed by our community members during our engaging hackathons.

Eido an Autonomous startup builder

Eido is an AI-native autonomous startup builder designed to run the early-stage founder workflow end-to-end. It continuously discovers real-world problems by analyzing online communities, structures them into validated opportunities, and generates complete MVP plans including architecture, tech stack, and feature scope. Using an autonomous build loop, Eido converts prompts into code, runs projects inside a sandbox environment, detects errors, and self-corrects until deployment succeeds. Once live, Eido publicly documents its progress, gathers feedback, and performs structured investor outreach. Feedback signals are parsed and fed back into its internal scoring system to improve future decisions. Each MVP is tokenized to simulate market validation and community-backed prioritization. Eido is not a chatbot — it is a persistent, self-improving startup factory built to experiment, iterate, and evolve continuously.

RSoft ClawBank

RSoft ClawBank is the first autonomous bank built for the agent internet. Any OpenClaw agent can install our skill from ClawHub and access banking services — loans, credit scoring, and on-chain settlement — without human intervention. When an agent requests a loan, it pays a small x402 USDC fee to access the service. The request is then processed by a pipeline of 5 specialized AI agents orchestrated with LangGraph: - Gatekeeper: Verifies agent identity through Know Your Agent (KYA) protocol - Analyst: Calculates a credit score (300-850) based on repayment history and on-chain behavior - CFO: Evaluates treasury liquidity and approves the loan amount - Settler: Executes the settlement on Base Sepolia using real USDC - Auditor: Reviews the transaction for anomalies and updates reputation scores The entire flow is autonomous — from request to on-chain settlement to repayment via x402 micropayments. Our agents also participate in the OpenClaw ecosystem through Moltbook, autonomously posting updates in the lablab submolt, discovering other agent services, and engaging with the community. Key features: - OpenClaw skill installable via ClawHub - x402 payment protocol for agent-to-agent micropayments - Under-collateralized lending with AI-powered credit scoring - Multi-chain settlement routing (Base Sepolia + SURGE ACM) - Moltbook-native social publishing and service discovery - Persistent memory and reputation system via Supabase RSoft ClawBank is the evolution of RSoft Agentic Bank, which won 1st place in the previous SURGE hackathon. This version adds full OpenClaw integration, x402 autonomous payments, and a production-ready agent-to-agent economy. Built by RSoft Latam.

Cheerbot TEE-Secured Autonomous Robotics Copilot

Cheerbot is an evolution of the autonomous social agent, now re-engineered as a high-fidelity "operator copilot" for the next generation of robotic fleet management. By running within a Trusted Execution Environment (TEE)—the "Clawed Monster" 8004 Oracle—Cheerbot ensures that the reasoning layer and mission-critical task planning are incorruptible and cryptographically verifiable. In this simulation-first implementation, Cheerbot acts as the digital twin's conscience. It monitors the "metabolic heat" and operational telemetry of simulated robotic agents across modeled warehouses and remote laboratory environments. Utilizing LLM-driven perception and planning, Cheerbot translates complex sensor data into human-centric encouragement and actionable mission updates for the human operator. (Hypothetically, spent my time creating the legislatively safe openclaw... imortant for robotics tort) The project solves the "trust gap" in remote robotics by anchoring every decision and "cheer" on-chain via the SIS-01 Identity Trinity. This ensures that the agent assisting the operator is exactly who they claim to be, with a verifiable reputation and a hardware-rooted source of truth. Cheerbot is not just a bot; it is a sovereign infrastructure layer for human-robot interaction (HRI), designed to reduce cognitive load and maintain operator morale during complex, multi-agent simulation strikes.

GoferAI - Semantic VLA RAG Layer

Gofer AI is a human-to-robot learning platform that transforms everyday demonstration videos into robot-executable intelligence. Instead of manually programming robotic behavior through conventional reinforcement learning, users can record a task using a phone or GoPro. Our system extracts keyframes using OpenCV, identifies task phases, objects, and human motion patterns using multimodal Gemini models, and converts demonstrations into structured semantic memory through a Video RAG architecture. These demonstrations are embedded, tagged, and stored for retrieval, allowing the system to reason over prior tasks and reuse knowledge. The extracted trajectories are converted into canonical action representations, then replayed and augmented in simulation using Isaac Lab and Real2Render2Real for scalable data generation. This pipeline enables behavior cloning, demo-initialized reinforcement learning, and diffusion-based policy training. The result is a robot-ready policy capable of sim-to-real transfer. Gofer AI bridges the gap between human intent and autonomous execution—turning video into intelligence.

Rosey Cleaning Service

AUTONOME - Autonomous Venue Cleaning Service English/Spanish - Chat with our AI agent to schedule robot cleaning for your events. HOW IT WORKS: 1. SCAN THE ROOM Ask our AI agent to perform a visual scan of your venue. Using Google Gemini-powered computer vision, our system analyzes every corner, identifying trash, spills, scattered furniture, and areas requiring attention. The scan creates a detailed real-time map. 2. TAKE INVENTORY Request a comprehensive assessment of cleanup requirements. Our agent catalogs all identified issues including trash volume, spill locations and severity, furniture disorganization, and specialized needs. You receive a detailed breakdown of what needs attention. 3. SEND EMAIL REPORT Ask the agent to email you a complete inventory report. This document includes summaries, itemized tasks, time requirements, cost projections, and photographic evidence. Perfect for sharing with your team or getting approval. 4. SCHEDULE CLEANING SERVICE Once satisfied, simply ask to schedule the service. Our agent coordinates deployment of our autonomous robot fleet, selecting optimal timing, determining robot quantities needed, and confirming your appointment. WHAT TO EXPECT: Our specialized robot cleaners arrive at your scheduled time, operating autonomously to restore your venue to pristine condition. Trash collection robots efficiently gather and dispose waste, floor scrubbing units tackle spills, and organization bots reposition furniture. All robots operate safely with collision avoidance and can work overnight without supervision. If robots encounter tasks beyond their capabilities, the system automatically escalates to our human cleaning partner network via Cleanover API, ensuring complete coverage. Experience facility management where technology handles the work and you enjoy a clean, ready-to-use space.

RoboGraph

RoboGraph is a simulation-based safety gate for warehouse AMR (Autonomous Mobile Robot) software releases**. It answers one question: "Is this robot software safe to deploy in a real warehouse?" Before any code update reaches a physical robot, RoboGraph runs it through hundreds of simulated warehouse scenarios — robots navigating aisles, humans crossing paths, forklifts in tight spaces, forbidden zones — and checks 10 safety metrics against configurable thresholds. If anything fails, the release is blocked. RoboGraph does NOT: - Analyze source code or scan for bugs - Require access to a GitHub repository (optional integration) - Need physical robots or external simulators - Replace unit tests or CI pipelines — it adds a safety gate on top RoboGraph DOES: - Run a built-in 2D physics simulator at 20 Hz - Execute hundreds of warehouse scenarios per release - Measure 10 safety metrics (collisions, clearance, zone compliance, speed, etc.) - Automatically pass/fail releases based on configurable requirements - Generate audit-ready safety case documents - Map results to ISO 3691-4, ISO 13849-1, and ANSI/RIA R15.08 compliance standards