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from swarm-ai-research
Research framework for simulating multi-agent dynamics and studying emergent AI risks.
SWARM is a professional research framework designed for the System-Wide Assessment of Risk in Multi-agent systems. It allows researchers to study how intelligence 'swarms' and where it fails using soft probabilistic labels rather than binary classifications.
SWARM is a research framework for simulating multi-agent AI systems to study emergent risks. The SKILL.md is well-structured with clear install instructions, Python/CLI/API quick-starts, and comprehensive concept documentation. No bundled scripts to test. Security posture is strong: API binds to localhost only, CORS restricted, explicit warnings about not exposing the dev API. Minor deduction for no auth on the development API by default.
Solid research tool with good documentation. Security practices are above average for a research framework. Niche audience but genuinely useful for AI safety researchers.
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