SuperLuJC

SuperLuJC / PlannerAgent

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基于 LangGraph 和 LangChain 构建的智能旅行行程规划系统

11
1
100% credibility
Found Apr 24, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A web-based AI travel assistant that generates detailed itineraries with attractions, hotels, weather, meals, budgets, and maps based on user preferences via form or chat.

How It Works

1
🌐 Find the travel planner

You discover this friendly online tool that creates custom trip plans by chatting or filling a quick form about your dream vacation.

2
Pick your way to plan
📝
Form mode

Enter city, dates, budget, transport, and likes to get precise results fast.

💬
Chat mode

Talk casually to refine ideas step by step with back-and-forth questions.

3
🚀 Watch it build your plan live

Hit go and see real-time updates as it finds attractions, weather, hotels, and crafts your daily schedule with meals and costs.

4
🗺️ Explore your itinerary

View the full plan with a map showing spots, daily breakdowns, hotel picks, food ideas, and total budget – everything fits your wishes.

5
✅ Review and save

Tweak anything if needed, then download as PDF or JSON to keep your adventure organized and share with friends.

✈️ Ready for your trip!

With your perfect personalized plan in hand, you're excited and confident to pack and go explore.

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AI-Generated Review

What is PlannerAgent?

PlannerAgent is a Python full-stack app using LangGraph and LangChain to build a smart travel planner. Users input a destination city, dates, budget range, transport prefs, and interests via a Vue 3 form or chat interface, receiving a detailed itinerary with daily attractions, meals, hotels, weather forecasts, and Gaode Maps visualization. It automates trip research, saving hours on manual POI hunting and budgeting.

Why is it gaining traction?

This LangGraph GitHub project stands out as a real-world langgraph langchain tutorial with multi-agent streaming—watch POI search, weather pulls, and planning unfold live via SSE endpoints. Budget-aware outputs and human review loops make plans practical, unlike basic chatbots; Gaode integration nails China travel. Devs grab it for langgraph GitHub examples showing production-ready agent graphs without fluff.

Who should use this?

AI devs prototyping LangGraph agents for planning apps, travel startups needing quick MVP itineraries, or backend teams testing langgraph LangChain JS/TypeScript ports. Ideal for Python LangGraph LangChain hackers forking the repo to add custom tools, skipping boilerplate agent orchestration.

Verdict

Grab this 11-star LangGraph GitHub repository as a battle-tested starter—runs end-to-end with clear setup docs and API routes. 1.0% credibility flags its early stage (spotty tests, China API focus), so audit keys and extend for global use; strong for langgraph GitHub projects learning by doing.

(198 words)

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