This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers

Open Source Reliability Harness: Make your agents follow rules. One line of code to‎ ‎enforce, trace, and improve. ‎ ‎

Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance.

The left hemisphere. Frameworks, logic, and certainty architecture. Home of FSVE, AION, LAV, ASL, GENESIS, TOPOS, and 60+ epistemically validated frameworks built to make AI systems reliable, not just capable.

The comprehensive, community-maintained index of Australian AI Security standards, policies, and frameworks across all 11 jurisdictions.

Official Technical Stack & Economic Engine for the NUPA Framework. Authored by Brandon Anthony Bedard (Nov 2025). Featuring the 40/40/20 Recursive Reinvestment Model and FASL Protocol

Compliance and Audit Framework for Healthcare Voice AI

Centralized AI IDE rules management for Cursor and GitHub Copilot.

Artificial Intelligence Regulation Interface & Agreements

Machine-readable AI permissions for websites. A consolidated spec at /.well-known/ai-policy.json for declaring how AI agents may train on, search, or use your content.

Curated dataset and tools for tracking global AI legislation — US federal, state, and international frameworks.

This repository provides comprehensive guidelines, frameworks, and sample policies for the ethical and effective integration of AI in progressive organizations. It serves as a platform for discussion and collaboration on AI governance and ethics.

Generate a "How we use AI" policy for your software dev team.

Curated AI policy resources for children, families and schools, maintained by SafeAI.School

Open, forkable liberal arts AI curriculum — AI literacy, ethics, philosophy of mind, seven futures, and what AI means for education. CC BY 4.0.

ISO 42001 implementation toolkit and EU AI Act compliance templates for UK AI companies. August 2026 deadline ready. Open-source AIMS architecture.

The security layer. Every output clears here before it exits. Threat detection, adversarial pattern recognition, red-team archive, and the Go/No-Go authority that can halt the entire system. Nothing bypasses it.

The memory layer. Stores the FCL validation archive, routing event history, and the permanent record of everything the brain has learned. What survives here shapes how the whole system routes next time.

AI policy hackathon project from Johns Hopkins, exploring policy and safety questions around AI systems.