nash-cli

What problem does it solve?

NASH CLI removes friction in running, validating, sweeping, and visualizing multi-agent game theory simulations, so you can focus on interpreting equilibrium behavior instead of wiring up tooling.

Core Features & Use Cases

• Environment discovery & inspection: List available Nobel-modeled environments and fetch their specs for reproducible experiment setup.
• Deterministic simulation execution: Run preset environments with controlled seeds, emitting machine-readable JSON results.
• Validation, sweeps, and visualization: Validate against statistical baselines and Nobel equilibrium criteria, sweep parameters across config-generated grids, and generate plots for time-series metrics.

Quick Start

Ask your AI to run uv run nash env list to confirm the available simulation environments and then execute uv run nash run --preset hawk_dove --agents 100 --rounds 200 --seed 42 -o results.json to produce JSON metrics for analysis.