KISWARM v3.0 is a production-ready AI governance and industrial cognitive platform that combines autonomous AI swarm intelligence with CIEC (Cognitive Industrial Edge Computing) modules. It's designed for industrial control systems where AI must observe and suggest improvements without directly controlling physical processes. The platform features 30+ AI modules including PLC semantic parsing, SCADA observation, digital twin physics simulation, rule-based constraint engines, knowledge graphs, and constrained reinforcement learning. All systems run 100% locally with zero cloud dependency, using persistent vector memory via Qdrant and 27+ Ollama models for local LLM processing. This is intended for industrial engineers, plant operators, and AI researchers working on industrial automation who need a safe, auditable system that can analyze existing PLC logic, monitor plant state in real-time, simulate physics-based mutations, and provide constrained optimization recommendations while maintaining absolute safety through hard-coded rule constraints.
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