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AI Travel Agent with Memory

An intelligent travel assistant that maintains persistent memory of user preferences.

Demo 14 of 15 Client Demo Ready

Quick Start

$ streamlit run travel_agent_memory.py
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Key Features

  • Persistent Memory: Mem0 integration for cross-session preference tracking
  • Chat-based Planning: Dynamic itinerary creation based on ongoing dialogue
  • Preference Vectoring: Learns user habits (e.g., budget-friendly vs luxury) over time
  • Contextual Awareness: Remembers past trip feedback to improve future suggestions

Use Case Example

"Plan a trip to Japan, knowing the user previously mentioned a preference for quiet cities."

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MCP Travel Planner Team