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deterministic-ai

Here are 179 public repositories matching this topic...

Context-Engineering-for-Multi-Agent-Systems

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.

  • Updated May 11, 2026
  • Jupyter Notebook
qwed-verification

AISecOps (AI Security Operations) framework for deterministic verification of AI systems. QWED verifies LLM outputs using math, logic, and symbolic execution — creating an auditable trust boundary for agentic AI systems. Not generation. Verification.

  • Updated May 22, 2026
  • Python
faramesh-core

Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment

  • Updated May 24, 2026
  • Go

The bottleneck in AI coding isn't the model: It's the babysitting. Gobby is a local daemon that turns a task into a PR across Claude Code, Codex, Gemini, Qwen, and Droid. Stage dispatch, hook-time rules, progressive MCP proxy, and more. Gobby built Gobby: ~5K commits, ~15K completed tasks and counting.

  • Updated May 24, 2026
  • Python

QEC is a deterministic, replay-safe proof and systems architecture for quantum error correction, invariant-driven computation, canonical hashing, replay validation, semantic/citation boundary enforcement, proof telemetry, and inference-boundary receipts.

  • Updated May 19, 2026
  • Python

Production-grade TypeScript AI runtime focused on reliability, governance, and reproducible LLM systems. Multi-provider gateway, agents, RAG, workflows, policy engine, audit trails, and deterministic testing — built for teams shipping AI in production.

  • Updated May 24, 2026
  • TypeScript
qwed-learning

🎓 Free course on deterministic AI verification and AISecOps. Learn fail-closed AI architecture, formal verification, audit integrity, MCP security, and trust-boundary engineering with QWED-AI.

  • Updated May 15, 2026
  • Python

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