Ross ROSS = Recommend OSS · open-source software intelligence for agents

1sdv/TripStar

旅途星辰 (TripStar)是一个创新的 AI 文旅智能体应用,旨在解决用户在规划旅行时面临的各种问题,为提供一站式旅游攻略而生。 observed · 2026-08-28

github.com/1sdv/TripStar · Vue · GPL-2.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

59/100

  • Activity 99
  • Release rhythm 35
  • Longevity 12

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 179
  • days_rel: n/a
  • days_push: 8
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2181 stars · 255 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TripStar is an AI-powered travel planning application built on the HelloAgents multi-agent framework, using LLMs to generate personalized trip itineraries with attractions, budgets, weather, and routes. It features a Vue 3 frontend with a FastAPI backend, integrating Xiaohongshu content, dual map engines (Google Maps and AMap), and knowledge graph visualization.

Use cases

  • plan a multi-city trip itinerary with AI
  • generate a travel guide with budget breakdown
  • get attraction recommendations from real traveler reviews
  • view daily routes on a map with attractions and hotels
  • check weather and reservation reminders for attractions
  • chat with an AI assistant about my trip details
  • visualize my itinerary as a knowledge graph

When to choose

  • you want AI-generated, personalized travel itineraries with maps and budgets
  • you need multi-language trip planning (Chinese, English, Japanese)
  • you want attraction recommendations sourced from real user-generated travel content
  • you prefer a self-hosted travel planning tool with multi-agent architecture

When to avoid

  • you need a simple booking or reservation system rather than itinerary planning
  • you require offline functionality without LLM API keys
  • you need production-grade enterprise travel management for organizations
  • you want a mobile-native app rather than a web application

Facets

application · maturity active

agent-framework llm-inference rag chatbot data-visualization search-engine internationalization artificial-intelligence large-language-models travel web-development python cross-platform travel-planning multi-agent trip-itinerary xiaohongshu-integration google-maps amap fastapi vue3 knowledge-graph glassmorphism-ui ai-agents maps web-server docker vue

1 source

Member repositories

RepositoryRoleHealth v2
1sdv/TripStarmain59

For agents

markdown · JSON · MCP: product_card(name="1sdv/TripStar")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem