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asqav

Python SDK for AI agent governance - audit trails, policy enforcement, quantum-safe signatures. Works with LangChain, CrewAI, MCP.

regulated-ai-governance

Policy enforcement for AI agents in regulated environments (FERPA, HIPAA, GLBA, GDPR): framework adapters for CrewAI, AutoGen, LangChain, Semantic Kernel, Haystack

assay-it

CI-native evidence compiler for agent systems: MCP policy enforcement, evidence receipts, Trust Basis claims, and reviewable artifacts.

sovigl

SOVIGL — AI agent payment governance SDK. Returns approved, pending, or blocked.

dbl-gateway

Reference implementation of the DBL execution boundary. Deterministic event chain separating intent, policy, and execution.

drako

The Python Governance Platform for AI Agents — compliance middleware for LangGraph, CrewAI, AutoGen

policy

A Policy library provides support for RBAC policy enforcement.

moralstack

MoralStack is a governance and safety layer for LLM applications. It analyzes user requests before generation, evaluates risk and intent, and decides whether the AI should answer normally, answer safely, or refuse. The goal is to make AI systems more auditable, controllable, and reliable in sensitive or regulated contexts.

ai-agent-governance

[DEPRECATED] Moved to microsoft/agent-governance-toolkit

janus-guard

System-level security for LLM agents via fine-grained policy enforcement on tool calls.

release-gate

🚪 Governance gate for AI agents. Enforce policies before deployment: request contracts, operational safeguards, identity boundaries, action budgets. CLI tool with YAML config, JSON/text output, CI/CD integration.

suy-sideguy

Runtime policy guard for autonomous AI agents with user-space enforcement and forensic reporting

ioa-core

Intelligent Orchestration Architecture Core - Open-source platform for orchestrating modular AI agents with memory-driven collaboration and governance mechanisms

aria-framework

Artificial Intelligence Regulation Interface & Agreements

chaukas-sdk

One line to instrument your agent and capture every event in an immutable, queryable audit trail.