An example of multi-agent orchestration with llama-index

This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with user preferences over LLMs, Embeddings, Search types, and Reranking Models.

This project is a multi-agent system, it uses Amazon Bedrock AgentCore to create a proactive travel concierge that understands natural language. The system incorporates specialized agents for planning, booking, and real-time monitoring and demonstrates the use of tools to securely interact with external APIs.

AI Travel Concierge: A multi-agent orchestration system based on LangGraph and FastAPI. The architecture, powered by Groq (Llama-3.3-70B), uses the ReAct pattern for autonomous travel planning. It offers persistent user preferences, real-time API integrations (Google/Weather), and interactive mapping with SQLAlchemy. Data-driven smart logistics app

Multi agent travel concierge - comparing multiple frameworks

Multi-agent AI system for investment research - a personal investment research concierge for Indian stocks

A self-updating, price-aware concierge agent that continuously optimizes your flights, hotels, and itinerary using multi-agent LLM intelligence.

NeuroTrinity Protocol: Multi-agent AI (Hardware, Chemistry, Software) uses specialized agents to analyze data, covering cellular repair, gut-brain axis, and cognitive training. A Concierge synthesizes advice into a prioritized roadmap for Alzheimer's and aneurysm risk management.

VoyageAI – Your Personal Travel Concierge Agent VoyageAI is a multi-agent, LLM-powered travel assistant that plans trips end-to-end based on user preferences. Enter your destination, budget, and travel dates — and VoyageAI will generate real-time flight options, hotel recommendations, and a personalized itinerary.

Full-stack Airbnb-style rental platform with a LangGraph multi-agent AI concierge powered by Google Gemini. Features SSE streaming, tool calling, async pipelines, and Kubernetes deployment on AWS EKS. Stack: React · Node.js · FastAPI · MySQL · MongoDB · Kafka

Ethical Lens turns your phone into a real-time moral and health compass. This hybrid AR concierge uses a multi-agent swarm to instantly screen products against your unique health and ethical profile. It exposes greenwashing, flags toxicity risks, and suggests sustainable alternatives—acting as your proactive, hands-free shopping guardian.

A modern multi-agent AI concierge system that provides seamless hotel services through natural conversation.

This is a kind of Multi Agent Concierge Service application

Orchestrates meal planning, task management, and personalized recommendations Uses simulated agent responses for demonstration (no API calls required)

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A modular multi-agent disaster-response system using Planner → Worker → Evaluator architecture. Provides alerts, shelter info, and guidance through tool calls, session memory, and safe evaluation. Includes full project structure, observability, A2A protocol, and a runnable demo.

An evidence-based skincare concierge built using Google ADK and Gemini Flash. Multiple agents handle ingredient safety, evidence retrieval, routine generation, and calendar reminders. The system avoids diagnosis and provides simple, science-backed skincare guidance personalized to each user

AI-intensive capstone project implementing intelligent agents to solve complex tasks using machine learning and decision-making algorithms. Includes end-to-end implementation, experiments, and analysis in a reproducible notebook.

Multi-Agent Exam Prep Concierge using ADK & Gemini

A multi-agent AI platform that automates student support using ADK routing, Gemini, MCP tools, and specialized agents for orientation, tech support, progress, and FAQs.

A multi-agent travel concierge powered by Gemini 1.5 Flash. VoyageAI orchestrates specialized weather and budget agents to create instant travel itineraries. Submitted for the Google AI Agents Intensive Capstone. ✈️🤖

Multi-agent AI concierge system with planner, worker, evaluator agents

To build an end-to-end multi-agent system capable of managing real-time booking logic, user preference matching, and customer service inquiries within a unified interface

Automatically plans trips, builds itineraries, recommends options, syncs calendars, and drafts booking emails using a multi-agent system.