A Community for Agent-Based Modeling
Build sophisticated agent-based models in Python with powerful frameworks and AI-assisted tools
A general framework for developing agent-based models in Python. Build complex simulations with agents, environments, grids, networks, and more.
A professional front-end package for real-time visualization of ABM results. Interactive dashboard providing visual feedback for Melodie simulations.
A structural prompt kit that empowers AI agents to bootstrap Melodie agent-based models from a simple story. Transform narratives into working simulations.
A tool that supports loading, retrieving, and collecting data in developing scientific software. Simplifies complex data management for agent-based models.
"And I know not if,— Robert Browning
save in this,
such gift be allowed to man,
That out of three sounds he frame,
not a fourth sound,
but a star."
The name Melodie—the German word for melody, chosen as a nod to the project's origins during my time in Germany—is inspired by complexity theory's core concept of emergence.
Agent-Based Modeling excels at simulating complex systems where macro-level phenomena emerge from the interactions of numerous individual agents. This mirrors the nature of music, where the interplay of single notes creates a profound auditory experience. Melodie captures this essence perfectly, as beautifully expressed in Robert Browning's poetry: out of separate sounds, we frame not just a fourth sound, but a star.
Learn Melodie through practical examples demonstrating key features
The simplest entry point to Melodie - basic model structure
Interactive real-time visualization of agents interacting on a 2D grid
Interactive real-time visualization of agents' interacting on a network
Automatic parameter calibration to match real-world data
Join the ABM4ALL community and start creating sophisticated simulations today