TripForge AI

AI travel planner by Sharad Khare.

TripForge AI researches destinations, builds personalized day-by-day itineraries, and exports plans to calendar files.

Features

Multi-agent workflow: researcher + planner
OpenAI GPT-4o cloud mode (app.py)
Local Ollama mode (app_local.py)
SerpAPI-powered destination research
Download itinerary as .ics calendar file
Streamlit interface for fast trip planning

Quick start

cd tripforge-ai
pip install -r requirements.txt
streamlit run app.py

Local mode:

streamlit run app_local.py

Required API keys

Cloud mode:

OpenAI API key
SerpAPI key

Local mode:

SerpAPI key
Ollama running locally

How it works

1. You enter destination and trip duration.

2. The researcher agent gathers relevant activities and stays.

3. The planner agent creates a structured itinerary.

4. You can export each day to your calendar app.

Project structure

tripforge-ai/
├── app.py
├── app_local.py
├── tripforge/
│   ├── calendar.py
│   ├── config.py
│   └── services.py
├── requirements.txt
├── pyproject.toml
└── README.md

Topics

Sharad KhareAI travel planneritinerary generatorSerpAPI travel agentOpenAI trip plannerOllama travel appStreamlit travel assistantvacation planning AIcalendar itinerary export.

Who this is for

Travelers planning detailed day-by-day trips
Travel-tech founders building itinerary products
Developers testing AI trip planning with search grounding
Agencies automating trip research and route suggestions

Use cases

Create destination itineraries from duration and preferences
Compare cloud and local AI planning modes
Export plans to calendar apps through ICS files
Build intelligent travel concierge experiences

Author

Website: sharadkhare.in

License

Loading file tree…

Select a file to preview its source.

bash

cd tripforge-ai
pip install -r requirements.txt
streamlit run app.py