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.
一个能帮你“规划而不只是推荐”的旅游 Agent Skill：支持玩吃组合路线、天气、高德路线、最新信息联网搜索与版本管理。
TravelBrain is a multi-agent AI travel planning system that works together to create personalized, efficient, and complete travel plans based on the user’s preferences, budget, and schedule. It can coordinate different agents for destinations, transportation, accommodation, activities, and itinerary planning to deliver a seamless travel experience.
AI-powered personal assistant chatbot built using Python, Streamlit, Groq API, and Generative AI.
AI-powered, multi-agent travel planning system built in Python using a LangGraph-style architecture. It coordinates autonomous agents to generate personalized travel itineraries by combining user inputs with real-time data such as weather and points of interest, powered by LLMs like Google Gemini to automate multi-step travel planning decisions.
A monorepo chat application that generates personalised match-day itineraries using Relevance AI agents. Supports real-time pricing, group sharing, push notifications and live updates.
Plan smarter trips with AI-generated itineraries, live weather, interactive maps, expense tracking, packing lists, and travel notes.
All-round DMC (Destination Management Company) workflow solution for creating all-curated trips based on high-end clients preferences: intake forms, CRM, client touchpoint tracker, inventory: hotels, tours, transportation, supplier & costing, itinerary templates, AI-supported quotations, operation's calendar
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