Travel planner agent

AI Travel Planner 是一个基于 Spring Boot + Spring AI 的后端与 Vue 3 + Vite 的前端组合项目，面向智能旅游场景，提供 智能行程规划、多模态问答与个性化推荐 能力。 系统集成了 MCP (Model Context Protocol) 工具链，支持从 自然语言理解 → RAG (Retrieval-Augmented Generation) → 多 Agent 协同 → 个性化生成 的完整 AI 应用流程。同时配套 CSV 向量化预处理脚本，实现高效的数据清洗、向量化与检索。

Generate personalized travel itineraries based on user preferences.

AI travel planner with 7 specialized agents, RAG, and tool-calling. Built with CrewAI & LangChain. Generates personalized itineraries with flights, hotels, activities, and cultural tips. Production-ready Python codebase.

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AI Travel Agent & Expense Planner (Purpose: Trip planning for any city worldwide with Realtime data)

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A Streamlit webapp deployed on Hugging Face Spaces featuring multiple AI agents built using LangGraph, LangChain, and LLMs. Includes a Startup Idea Validator, Travel Planner, and Agentic AI Chatbot with tools like web search and code execution etc. A modular platform for real-world, graph-driven multi-agent AI interactions.

A LangGraph template for building AI agents with human-in-the-loop, conditional routing, observability (Langfuse), and a Reflex UI demonstrated through a travel planner use case.

A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. 🚀

AI Travel Planner using CrewAI multi-agents with Google Gemini. Features destination analysis, local expert insights, and complete itinerary creation. Uses web search for real-time data on weather, flights, hotels & attractions. CLI interface creates detailed 7-day travel plans with budgets.

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Example Travel Planner Application Showing AI Agents Built Using AI SDK by Vercel

The AI Travel Planner app allows users to effortlessly create personalized travel itineraries based on their destination, travel dates, and interests. By inputting these key details, the app leverages advanced AI agents to curate customized recommendations and suggestions for an enriching travel experience.

A multi-agent travel planner demonstrating 1) A2A orchestrataion and 2) cross-platform agent interoperability

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A travel planner using multi-agent Autogen

Travel Planner Crew AI Agents - Streamlit App

Develop a multiagent travel planner using Agent 2 Agent protocol framework

This is an AI-powered travel itinerary planner built with LangChain, Streamlit, and OpenAI. It uses a custom conversational agent to generate detailed travel plans based on user inputs, save them to file, and display them on a simple dashboard interface.

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A flagship Agentic AI Travel Planner that plans the best itineraries from Multi-modal Input of the user using a custom fine-tuned Llama-8B model and Visual Encoder

WanderMind is an AI-powered, multi-agent travel planner. It turns natural language input into smart, real-time itineraries using LLMs and modular AI agents. Get personalized suggestions for flights, weather, food, events, and more—all displayed in a dynamic dashboard.

Travel planner agent built with Neuron PHP AI framework

Multi-Agent AI Travel Planner using Gemini LLM and CrewAI

TripMate: a mobile travel planner integrating third-party APIs and an AI agent for personalized itineraries.

An enterprise-grade, full-stack AI travel planner which provides data-driven itineraries for Lucknow, India and showcases production-ready architecture, combining a FastAPI backend with a Streamlit frontend. It leverages an advanced agentic RAG system, context-aware responses by integrating a local knowledge base with live, external APIs.

Creating a Travel Planner Multi agent system using A2A, AG-UI, Crewwai,Google ADK and Langgraph

Smart Travel Planner Multi-Agent Project for Multi-Agent Systems Course