ai-rules is a governance framework designed to solve "Architectural Decay" in AI-driven development. It forces AI Agents (Cursor, Windsurf, Copilot) to respect your project's boundaries, UI libraries, and design patterns.

Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR

JOYA(Joy Agents) is a governance framework for teams of AI agents. It provides the rules, structure, and accountability mechanisms that let multiple agents collaborate safely under human oversight.

🎱 AI Agent Governance Framework — Constrain how AI Agents behave in your project. pip install pattern8

INDUSTRY ALERT: The Subprime Code Crisis. A data-driven analysis of how AI assistants inflate a bubble of technical debt. Featuring research on 211M lines of code, this report exposes the "Placebo Analytics" of AI productivity and provides a framework for engineering governance.

Our goal is to mutually develop a governance framework that manages the on-boarding, development of, and running AI-based solutions within financial services organisations - allowing us all to unlock the potential of this disruptive technology in a safe, trustworthy and compliant way.

The Agentic chaoschain is an innovative framework powered by AI Agents that includes governance, consensus, proposals, and dispute resolution. It allows Agents to help humans explore and expand the boundaries of social contracts.

SAFi is the open-source runtime governance engine that makes AI auditable and policy-compliant. Built on the Self-Alignment Framework, it transforms any LLM into a governed agent through four principles: Policy Enforcement, Full Traceability, Model Independence, and Long-Term Consistency.

A practical framework to assess and guide how engineering teams adopt, integrate, and evolve their use of AI across tooling, practices, governance, and innovation.

A behavioral governance framework for GitHub Copilot agents — skills.md and instructions to make AI coding agents think like senior engineers.

AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems. Focuses on financial intelligence, RAG pipelines, observability, and secure governance. ACP Openclaw, Gemini CLI, Opencode

[IWQoS 2025] eACGM: An eBPF-based Automated Comprehensive Governance and Monitoring framework for AI/ML systems.

The building blocks of an enterprise adoption framework for agentic coding — technical training, adoption playbooks, governance policies, industry analysis, proposal templates, and practical workflows. From understanding how AI agents work to rolling them out across teams. Built for leaders driving adoption.

JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2020-12.

Free 81K-word book on building AI-first companies. 12 chapters, 775 citations, 20 frameworks, 14 Python code examples. Agent architecture, microsite patterns, data flywheels, team models, and governance. CC BY-NC-SA 4.0.

Curated list of AI + GRC resources: AI governance frameworks and AI-powered compliance tools

Repository documenting the role of the Market Integrator in lawful coopetition among leading AI systems — Copilot (GPT‑5), Gemini, and LLaMA. It highlights the MESHES framework, interoperability via smart contracts, and governance principles ensuring innovation, transparency, and consumer benefits.

The ultimate open-source RAG (Retrieval-Augmented Generation) system. TRUST framework for enterprise AI, production-grade demos, and end-to-end retrieval, evaluation, and governance—all in one repo.

RoundTable Framework For Claude Code — A structured multi-team AI governance framework

Repository documenting the fourth and fifth integrations of AI systems into the lawful coopetition framework. It highlights interoperability, governance, and the symbolic codex expansion with new entrants — Grok Code Fast 1 (GitHub Copilot Chat) and Meta AI (symbiotically connected to Meta’s social networks).

AI governance framework for multi-agent systems, built on separation of powers and harness engineering. 以三權分立與 Harness Engineering 為核心的 AI Agent 治理框架。

Cloud FinOps Agent Skill — expert guidance on AI cost management, AWS/Azure optimization, tagging governance, and FinOps framework implementation. Built by OptimNow.

A decision framework for AI agents. Because "just do it" isn't governance.

This project is an open source AI data governance framework designed to assist organizations in managing and maintaining their data assets to ensure data quality, consistency, and security.

Production-ready AI agent framework — semantic memory, multi-agent mesh, MCP server, intelligent routing, governance, and 67+ platform integrations.

Governance-driven AI development framework -- convention enforcement, quality gates, and domain expertise for Claude Code, Gemini CLI, and Codex

KSODI is a systematic interaction framework. KSODI-Light measures human-AI interactions to systematically assess and improve their quality. KSODI-Standard-Eval, provides explainable metrics and early drift detection. KSODI-Full is built for transparency, governance, and maximum privacy. KSODI => Interaction Telemetry for AI Systems.

Behavioral governance framework for AI agents. Named anti-patterns, incident-driven rules, and failure mode engineering.

Declarative governance framework for AI-augmented software development lifecycles

A governance framework by Audrey Tang and Caroline Green that translates Joan Tronto's care ethics into six machine-codeable design primitives for Civic AI — bounded, place-specific AI stewards engineered for relational health, not unbounded optimisation.