Ambar-13/SwarmCast

Macro behavioral simulation, model how populations respond to regulation, market shocks, sanctions, and policy pressure. 15 jurisdictions, epistemic transparency layer, optional LLM swarm intelligence. Upload a PDF and simulate it!

38
/ 100
Emerging

Operates at the institutional level (firms, regulators, coalitions) rather than individual psychology, simulating population-level outcomes like adoption curves and compliance timelines across 15 jurisdictions. Accepts unstructured documents (PDFs, policy drafts, research papers) via `/upload` endpoint and parses them into simulation-ready parameters using LLM extraction. Optional swarm mode deploys 23 reasoning personas that vote on behavioral priors, with full epistemic tracing of assumptions and confidence bands tied to calibration data.

No Package No Dependents
Maintenance 13 / 25
Adoption 3 / 25
Maturity 9 / 25
Community 13 / 25

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Stars

4

Forks

2

Language

Python

License

Last pushed

Mar 25, 2026

Commits (30d)

0

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