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Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
Deterministic AI verification for model identity, configuration, behavioural fingerprints, and alignment freshness using runtime attestation and fail closed safety rules.
🎓 Free course on deterministic AI verification. Learn how to mathematically prove LLM output correctness using formal methods. From theory to production workflows with QWED-AI.
Geometric programming languages built on field theory: WPE/TME (AI reasoning, semantic calculus) and Crystalline (code synthesis, optimization). Physics-based, deterministic.
Steward — governance calculus for AI systems. Contract-driven evaluation with parallel lenses and deterministic synthesis: PROCEED / ESCALATE / BLOCKED.
System Topology Manifest (STM) defines a graph-structured metadata standard describing how services connect, trigger, and exchange data—enabling Network-, Knowledge-, and Retrieval-Augmented AI systems to reason over real-world system topologies.
An educational example showing how to build a guardrailed, tool-augmented AI assistant in C# (.NET 10) using Ollama, with deterministic validation, tool constraints, timeouts, and safe fallbacks.