# 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。

Repository: https://github.com/1sdv/TripStar
Canonical: https://ross.abutalabs.com/products/tripstar
Language: Vue
License: GPL-2.0
License Family: copyleft
Last push: 2026-08-25T06:38:40+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 12
- inputs: {"age_days": 179, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2181, forks 255 (observed 2026-08-28T04:06:23.229378+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: agent-framework, llm-inference, rag, chatbot, data-visualization, search-engine, internationalization
- domain: artificial-intelligence, large-language-models, travel, web-development
- platform: python, cross-platform
- tags: travel-planning, multi-agent, trip-itinerary, xiaohongshu-integration, google-maps, amap, fastapi, vue3, knowledge-graph, glassmorphism-ui, ai-agents, maps, web-server, docker, vue

## Member repositories
- 1sdv/TripStar (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.229378+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:48:40.865053+00:00, confidence not recorded.
  - readme: https://github.com/1sdv/TripStar (fetched 2026-08-28T04:06:23.229378+00:00, sha a0a9b758c61b)
- Data as of 2026-08-30T08:39:29.467469+00:00.