Ai Governance Python Packages

mlflow-skinny

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 controlling costs and managing access to models and data.

mlflow

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 controlling costs and managing access to models and data.

mlflow-tracing

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 controlling costs and managing access to models and data.

specsmith

AEE governance CLI for AI-assisted dev — WI lifecycle (specsmith wi), preflight gates, multi-agent dispatch, requirements<->test traceability, ESDB, MCP server, compliance, 64 project types, 136 skills, and 1607 tests.

vaara

Open-source evidence layer for AI governance. Gates every AI agent tool call against your policy and writes a hash-chained execution record an auditor verifies offline, without trusting the operator. Root-agnostic, and binds to a TPM 2.0 or SEV-SNP hardware root when present. Your environment, no SaaS, no telemetry. AGPL-3.0.

systemu

An open-source AI agent that builds the tools it's missing, mid-task — under your governance. Pull capabilities at runtime instead of pre-wiring them. Local-first, MIT.

dashclaw

🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.

trackfw

Governance CLI for AI-native software delivery and AI coding agents. Enforces traceability: ADR → REQ → ROADMAP → kanban. Native support for Codex, Claude Code, Gemini CLI, Cursor, Copilot, Windsurf, and Amazon Q.

asqav

Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.

agentguard-governance

Governance layer for autonomous AI agents — pre-flight checks, runtime monitoring, and post-session reporting.

arifos

arifOS — Constitutional MCP kernel for governed AI execution. AAA trinity: AGI (Mind) · ASI (Heart) · APEX (Judge). Built for the sovereign agentic era.

model-ledger

Open-source model inventory & governance. Discovers every model, rule, and pipeline across all your platforms as one immutable, agent-queryable graph — git for models.

eu-ai-act-compliance-mcp

410 verbatim EU AI Act articles + 28 article-level reg MCPs (Art.12 / Art.50 / GDPR Art.9 / DORA Art.17 / NIS2 Art.21 / CRA). Part of the CSOAI Layer-0: 8 protocols · 100/100 A+++++ · bleeding edge · world-leading.

dora-compliance-mcp

DORA (Regulation EU 2022/2554) compliance MCP for financial entities. ICT risk, incident classification, reporting workflows. MIT

nuguard

opensource repo for NuGuard

ai-rulez

Complete AI development workflow for 19+ tools. Builtin rules, agents, and conventions out of the box. Generate native configs for Claude, Cursor, Copilot, Windsurf, Gemini, Codex and more.

keel-verifier

Independent verifier for signed AI audit exports and Permit-spec evidence

cra-compliance-mcp

EU Cyber Resilience Act (Reg 2024/2847) → AI governance. CE marking + SBOM. Part of the CSOAI Layer-0: 8 protocols · 100/100 A+++++ · world-leading.

gdpr-compliance-ai-mcp

GDPR compliance MCP — DPIA automation, Article 30 records, Article 22 automated decision-making audit, data subject request workflow.

nis2-compliance-mcp

NIS2 (Directive EU 2022/2555) Article 21+23 compliance MCP. Entity classification, 10 measures audit, incident reporting. MIT

ai-bom-mcp

AI Bill of Materials MCP in CycloneDX + SPDX format. Required by EU AI Act Article 11. MIT

bias-detection-mcp

AI bias detection + fairness assessment MCP. Required by EU AI Act Article 10 + NYC Local Law 144. MIT

iso-42001-ai-mcp

ISO 42001 AI Management System compliance MCP — AIMS assessment, risk management, AI lifecycle governance, certification readiness.

a2a-governance-bridge-mcp

A2A Governance Bridge MCP — compliance checking for agent-to-agent communications. Policy enforcement, audit trails. MIT.