Tag: #ai-governance
30 packages âĸ â 26,217 total stars
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controllin
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
The Keystone Framework for AI-Driven Code ! Turn any AI coding assistant into a disciplined, project-aware engineering partner that respects your architecture and coding standards
ArifOS â Constitutional MCP kernel for governed AI execution. AAA architecture: Architect ¡ Auditor ¡ Agent. Built for the open-source agentic era.
ArifOS â Constitutional MCP kernel for governed AI execution. AAA architecture: Architect ¡ Auditor ¡ Agent. Built for the open-source agentic era.
A thing that uses AI to write perfect applications. For those who want to know how: a governance runtime enforcing immutable constitutional rules on AI coding agents.
AI Agent Governance for TypeScript â policy enforcement, scoring, compliance, and audit for AI agents
An API server that implements the official MCP Registry API, providing standardised access to MCP servers from multiple backends, including file-based and other API-compliant registries.
Unify Claude Code, Codex, Cursor, and Gemini CLI with persistent context, governance, and multi-model debate. 186 MCP tools. 123 tests.
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
ASAN: A conceptual architecture for a self-creating (autopoietic), energy-efficient, and governable multi-agent AI system.
A plug-and-play framework for AI-assisted software development, enhancing context-aware collaboration in complex codebases. Perfect for tools like GitHub Copilot. đâ¨
Control plane for governed AI coding: validate agent changes, enforce policy, track findings, and ship with proof.
Protect AI agents by detecting and blocking prompt, command injection, Unicode bypass, and social engineering attacks with customizable security controls.
Deterministic refusal and boundary enforcement layer for Riverbraid.
Cluster manifest, orchestration, and stationary state verification for Riverbraid.
The identity anchor and sovereign GPG verification petal for the Riverbraid organization.
Foundational invariants and verification surfaces for Riverbraid.
Cognitive architecture and meaning processing layer adjacent to the Riverbraid core.
Meaning scoped persistence and state retention rules for Riverbraid.
The deterministic UI contract and relational interface substrate for the Riverbraid cluster.
Cryptographic integrity layer for Riverbraid seals, hashes, and signatures.
Temporal contracts and governed time based state logic for Riverbraid.
Governed vision input and perception contract surface for Riverbraid.
Governed audio input and output contract surface for Riverbraid.
Governed action execution surface for Riverbraid.
The central directory and Merkle Root mapping for the 17-petal Riverbraid v1.5.0 substrate.
ACR Control Plane: runtime control & governance for agentic AI (six-pillar enforcement).
Deterministic governance engine for AI agents. Enforce rules defined in .md governance files across AI systems.
N8N community node for Missionize AI governance -- intercept, govern, and cryptographically seal AI agent decisions.