1sdv/TripStar

What it solves

TripStar addresses the "information overload" and "decision fatigue" users face when planning trips. Unlike static travel guides, it automates the creation of personalized itineraries by synthesizing real-world data and user preferences into a cohesive plan.

How it works

Built on the HelloAgents framework, the system uses a multi-agent orchestration layer to handle different planning tasks concurrently:

• Data Extraction: A specialized agent scrapes real user reviews and guides from Xiaohongshu (Red), using an LLM to distill structured attraction data, including real-world tips and booking requirements.
• Environmental Context: Dedicated agents fetch real-time weather forecasts and hotel recommendations based on the user's budget.
• Route Optimization: A master planner agent aggregates this data to calculate the most efficient travel sequence to avoid backtracking.
• Interactive Visualization: The system integrates Google Maps and Amap (Gaode) for route plotting and uses ECharts to visualize the trip as a knowledge graph.
• Memory Module: A weighted preference memory bank stores user habits, which are injected into future prompts to improve recommendation accuracy over time.

Who it’s for

Travelers who want a highly customized, data-driven itinerary without the manual effort of browsing multiple platforms, and developers interested in multi-agent AI workflows for consumer applications.

Highlights

• Xiaohongshu Integration: Pulls authentic user-generated content and real-time photos for attraction recommendations.
• Smart Booking Alerts: Automatically identifies and flags attractions that require advance reservations.
• Dual-Map Engine: Seamlessly switches between Google Maps (international) and Amap (domestic China) based on location.
• Knowledge Graph Visualization: Converts itineraries into a node-relationship map showing the connection between cities, days, and budgets.
• Multilingual Support: Full internationalization for the interface and AI-generated content (Chinese, English, Japanese).
• C-Agent Chat: A floating AI companion with full context of the generated trip for follow-up questions.