Miniverse
Python library for running Stanford-style generative agent simulations.
Repository: github.com/miniverse-ai/miniverse
Overview
Multi-agent dynamics research needs a platform for controlled experiments:
- Vary agent profiles, observe coordination outcomes
- Test different team compositions
- Replicate phenomena (information diffusion, role emergence, conflict patterns)
- Generate behavioral data for analysis
Miniverse allows developers to create simulated environments for experimenting with multi-agent systems.
Generate agents with profiles, goals, and memory interacting over time. Agents decide actions, communicate, move through environments. Information spreads, coordination emerges (or fails), behavior patterns become observable.
The Stanford Generative Agents paper ran 25 agents for ~17,000 time steps with sophisticated memory systems. Miniverse generalizes their approach and enables rapid experimentation through a minimalist library which can be fully ingested into AI context and used to essentially vibe code simulations.
See also: Valentine’s Replication