Features
Multi-agent simulation with distinct personality traits
LightRAG knowledge graph for conversation memory
Resonance forecasting to predict message longevity
Drift detection and semantic shift alerts
Local LLM support via Ollama (Mistral, Llama 3, Qwen)
Web-based reactive UI dashboard
Animated node-link diagram visualization
Multilingual simulation in 15+ languages
Long-running 24/7 simulation endurance
Export simulations as JSON, CSV, animated GIF
Replay scenarios with modified parameters
Seed message parsing for entities and valence
Population generation with synthetic personas
Intervention sandbox for testing corrections
Offline operation without cloud dependencies
Solar-powered rover with controlled illumination
Per-plant high-resolution imaging across growing season
AI-powered pest, weed, and disease detection per plant
Real-time plant growth monitoring
Automated yield forecasting from imagery and environmental data
Crop phenotyping via computer vision (leaf size, biomass)
Quality inspection for fruits and vegetables
Food waste reduction analytics
Integration of satellite, weather, and soil data layers
Multi-angle image capture with controlled rolling speeds
Machine learning to identify plant-environment interaction patterns
Data collection in muddy fields and bright sunlight
Terabyte-scale image datasets per field
Controlled rolling speeds and sophisticated sensors
