4.9
Japan
AI-Powered Travel Intelligence • Multi-Agent StateGraph
Where to next? Plan it effortlessly.
Autonomous multi-agent intelligence researches, clusters walkable neighborhoods, balances budgets, and schedules around live weather.
Instant Teleport • Live Travel Reel
Trending Escapes Around the Globe
Gliding live inspirations. Click any destination card to auto-load the plan into the studio.
5.0
India
Rishikesh Sacred River
Auto-Plan
4.9
Italy
Amalfi & Positano
Auto-Plan
5.0
Switzerland
Swiss Alps & Zermatt
Auto-Plan
4.9
Portugal
Lisbon Miradouros
Auto-Plan
4.8
France
Parisian Arts & Cafes
Auto-Plan
4.9
Greece
Santorini Blue Caldera
Auto-Plan
4.9
Indonesia
Ubud Rice Terraces
Auto-Plan
Engineered for Reality
Why travelers trust Wayfarer over basic prompts
Most AI trip planners ping-pong across a city and treat hotel stays like daily attractions. We solved the 4 core pitfalls.
Neighborhood-First Clustering
Every day is organized strictly within a tight geographic radius, calculating actual walking & transit friction so you never waste hours commuting.
The Persistent Lodging Anchor
Accommodation is modeled as a persistent home base with morning departures and evening returns — completely solving the "Stay at Hotel A" flaw.
Live Weather-Driven Scheduling
16-day live weather forecasts directly shape activities: rainy mornings automatically shift to indoor museums, arcades, and sheltered markets.
Model Context Protocol (MCP)
Open industry standards allow you to export one-click RFC 5545 calendar feeds for Google/Apple Calendar and publication-grade vector PDF dossiers.
Your plan
- Researching
- Planning
- Your review
- Finalizing
- Finalized
Awaiting your review
The draft below is ready. Optionally pick a flight or hotel, then approve — or skip to keep sightseeing only.
A pipeline you can trust
Five focused nodes. One clear flow. You sit in the loop.
1
Orchestrate
Validates your request and frames the task for the agents.
2
Research
Web search and live weather gather grounded context.
3
Plan
Drafts day-by-day with a transparent budget split.
4
Your gate
Approve, modify, or reject. Nothing finalizes without you.
5
Finalize
Locks in your approved itinerary, ready to go.
LangGraph 0.2+ Architecture
Autonomous Agents Working in Concert
Instead of brittle prompts, five specialized agents coordinate state, verify constraints, and pause for your approval.
Node 1: Research Agent
~1.2s Parallel I/O
Real-Time Live Web, Weather & Hybrid RAG
Gathers live context using Tavily, Open-Meteo forecasts, foreign exchange rates, and a 2,180+ passage ChromaDB vector store. Rainy forecasts automatically reshape the schedule to indoor cultural experiences.
web_search
get_weather
hybrid_rag
get_exchange_rate
Node 2: Planner
Deterministic Budget & Spatial Clustered Days
Splits budget across Lodging, Food, Activities, and Transit with pure mathematical functions. Clusters daily activities within 15–20 min transit radii to eliminate cross-city fatigue.
100%Budget Transparency
0Hallucinated Math
Node 3: Human Gate
interrupt() Primitive
Durable State Persistence Across the Pause
Execution safely pauses inside the graph via interrupt(). Resumes seamlessly via Command(resume={action, feedback}) with zero state loss, backed by SQLite checkpoints.
approve
modify
reject
Node 4: Finalize & MCP
Model Context Protocol
Interactive Routing, Wikipedia Photos & MCP Export
Geocodes every stop via Photon, routes driving/walking legs via OSRM/OpenRouteService, resolves high-confidence landmark imagery, and invokes the Travel Concierge MCP server for calendar and PDF dossiers.
build_route_map
wikipedia_images
MCP generate_pdf
MCP calendar_ics