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。
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
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.
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