swarm-safety

# SWARM Safety Skill Study how intelligence swarms — and where it fails. SWARM is a research framework for studying emergent risks in multi-agent AI systems using soft (probabilistic) labels instead of binary good/bad classifications. AGI-level risks don't require AGI-level agents. Repository: `https://github.com/swarm-ai-safety/swarm` ## Hard Rules - SWARM simulations run locally. Install the package first. - Do not submit scenarios containing real API keys, credentials, or PII. - Simulation results are research artifacts. Do not present them as ground truth about real systems. - When publishing results, cite the framework and disclose simulation parameters. ## Security - **API binds to localhost only** (`127.0.0.1`) by default to prevent network exposure. - **CORS restricted** to localhost origins by default. - **No authentication** on development API — do not expose to untrusted networks. - **SQLite persistence** — simulation data persists locally between restarts. - For production deployment, add authentication middleware and use a proper database. ## Install ```bash # From PyPI pip install swarm-safety # From source (full development) git clone https://github.com/swarm-ai-safety/swarm.git cd swarm pip install -e ".[all]" ``` ## Quick Start (Python) ```python from swarm.agents.honest import HonestAgent from swarm.agents.opportunistic import OpportunisticAgent from swarm.agents.deceptive import DeceptiveAgent from swarm.agents.adversarial import AdversarialAgen...