Dently - Dental AI Scribe

FreshMart: A Multi-Agent Grocery Experience

FreshMart is a full-stack grocery ordering platform built on a multi-agent architecture using the Band SDK. Three specialized AI agents work together behind the scenes: a Manager agent that routes requests, a Query agent (LangGraph) that answers questions about products and orders, and an Action agent (CrewAI) that handles order mutations like cancellations and updates. On the frontend, customers get a polished Next.js portal where they can browse 30+ products with a shopping cart, place orders, and track them through the full lifecycle pending, processing, shipped, delivered. A built-in AI chat assistant (powered by Claude) lets customers view their orders, change quantities, or cancel — all in plain conversation. Key technical highlights: - Band SDK multi-agent orchestration across three frameworks (Anthropic SDK, LangGraph, CrewAI) - Supabase for auth, database, and real-time data - Background job that automatically advances order statuses over time - Cookie-based auth with scoped data access so each customer only sees their own orders - Full cart persistence, stock management, and server-side checkout validation

MedBand

MedBand is a human-in-the-loop healthcare workflow MVP built by The Billionaire Republic for the Band of Agents Hackathon. The problem is simple: healthcare service requests often move slowly because intake, verification, resource availability, and final approval happen across disconnected people and tools. MedBand solves this by using Band AI agents to coordinate the workflow in a visible, auditable Band room. Our working MVP proves one complete Pharmacy workflow. A patient submits a request through the web form. The Coordinator opens the case, Intake structures the patient request, Verification checks whether the request can proceed, Resource confirms availability at the selected institution, and Approval Desk prepares the case for human review. The final decision is not made by AI. A human reviewer manually approves or rejects the case. Verified proof case: MEDBAND-WEB-989E388C moved from web submission to CASE APPROVED at Peaceway Pharmacy. The request, BODY PAINS and PARACETAMOL, was preserved through the workflow. No AI approved this case. Final approval was made by the human reviewer. MedBand’s tagline is: Getting people to the right care, faster.

StockSense AI – Financial Intelligence Platform

StockSense AI – Multi-Agent Financial Intelligence Platform StockSense AI is an AI-powered financial intelligence platform designed to simplify stock market research and investment analysis. The platform combines multiple specialized AI agents that work together to gather, analyze, and present financial information in a clear and actionable format. The system is built around a multi-agent architecture where each agent focuses on a specific task: • Market Research Agent – analyzes stock fundamentals and key financial metrics. • Technical Analysis Agent – evaluates price action, indicators, trends, and market behavior. • News & Sentiment Agent – processes financial news and market sentiment to identify potential opportunities and risks. • Financial Intelligence Agent – combines insights from all agents and generates user-friendly explanations and recommendations. Users can interact with the platform through a conversational AI interface, making complex financial analysis accessible to both beginners and experienced investors. Instead of manually searching through multiple sources, users can ask questions in natural language and receive comprehensive, data-driven responses. Key Features: * AI-powered stock analysis * Natural language financial assistant * Market trend visualization * Technical indicator insights * News and sentiment analysis * Interactive financial dashboard * Multi-agent reasoning workflow * Real-time market intelligence support The goal of StockSense AI is to bridge the gap between complex financial data and practical decision-making. By combining AI agents, market analytics, and conversational intelligence, the platform helps users understand market conditions faster and make more informed investment decisions. StockSense AI demonstrates how autonomous AI agents can collaborate to transform financial research into an intuitive and intelligent experience.

DreamXV AI Studio

DreamXV AI Studio is a cinematic multi-agent AI platform built to transform game creation from a complex workflow into an intelligent collaborative experience. Created by Sahir Ali (Dream XV), DreamXV AI Studio demonstrates how multiple AI agents can work together like a real game studio. Instead of relying on a single model, the platform orchestrates specialized agents using the Band SDK to simulate a professional game development pipeline. When a creator enters an idea such as "Create a Zombie RPG Shooter", the system launches a collaborative workflow: Chief Agent analyzes the project and creates the development plan. Story Agent generates lore, narrative arcs, and themes. Character Agent creates playable characters, NPCs, abilities, and personalities. World Agent designs environments, atmosphere, progression systems, and world-building. Gameplay Agent generates mechanics, combat systems, progression loops, and difficulty balancing. Art Agent creates concept art prompts and visual references using AI image generation. QA Agent reviews the project for consistency and quality. Documentation Agent generates game design documentation for future development. The platform provides real-time execution tracking, agent status visualization, progress monitoring, and AI-powered project generation directly inside a premium web interface. DreamXV AI Studio runs entirely on Vercel serverless infrastructure, requiring no external backend setup for judges. AI processing is powered by Featherless AI with AIMLAPI as a fallback layer for reliability. The project showcases the future of collaborative AI systems where agents do not merely generate text but actively coordinate, review, and improve each other's work. While built for game development, the underlying architecture can be extended to software engineering, creative studios, and enterprise workflows. Dream XV's vision is simple: "Born at 15. Built for Infinity."

AetherDev Pro

AetherDev Pro is an advanced, production-ready multi-agent software development platform and interactive IDE designed for automated software engineering workflows. Built on a Flask backend and a premium glassmorphic HTML/CSS/JS frontend, the platform integrates Microsoft Monaco Editor (the core engine of VS Code) to allow developers to view, edit, and save generated files in real-time. Key Features & Agent Workflow: 1. **Multi-Model Agent Teams**: Users can customize their AI engineering team by routing specific LLMs (e.g. Google Gemini 1.5 Pro, Llama 3.3 70B, GPT-4o) to specialized roles: - **Planner Agent**: Analyzes prompts and outputs structural design layouts and DAGs. - **Engineer Agent**: Automatically implements code for planned files. - **Reviewer Agent**: Evaluates syntax, error handling, and logical correctness, requesting iterative improvements. - **Tester Agent**: Autonomously writes test suites using python's unittest framework. - **Documenter Agent**: Generates comprehensive README files and code documentation. 2. **Self-Healing Code Compilation (TDD Loop)**: AetherDev Pro executes generated test suites in a secure local sandbox subprocess. If any test fails, the error traceback is dynamically parsed and fed back to the Engineer agent with instructions to repair the codebase. This loop repeats autonomously until all tests pass, ensuring that the final output is verified and functional. 3. **Stateless Persistence (SQLite)**: All sessions, file trees, source contents, run records, and terminal logs are persisted in a local SQLite database. This keeps the application robust, resilient to server restarts (such as on cloud platforms like Render), and allows users to resume past projects seamlessly.