MRRAMobility Retrieve-and-Reflect Agent
Core Features
Everything you need for advanced mobility prediction and analysis
AI-Powered Predictions
Advanced machine learning models analyze movement patterns to predict where people will go next with high accuracy.
Real-time Context
Integrates live data from maps, weather, traffic, and POI services to enhance prediction accuracy.
Knowledge Graphs
GraphRAG technology extracts deep insights from historical mobility data and spatial relationships.
Multi-Agent System
Collaborative AI agents work together using reflection mechanisms to optimize prediction results.
High Performance
Optimized for large-scale deployment with parallel processing, caching, and async operations.
Easy Integration
Simple Python API with support for multiple LLM providers and flexible configuration options.
Supported LLM Providers
MRRA works with multiple LLM providers for maximum flexibility
OpenAI
GPT-4o, GPT-4o-mini and other OpenAI models
Qwen
Alibaba's Qwen series models via DashScope
Gemini
Google's Gemini series models
More LLM
Support for more LLM providers
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