agent-governance-toolkit

Agent Governance Toolkit puts a policy check between your AI agent and every action it takes. Tool calls, resource access, and agent-to-agent messages all get evaluated against rules you write before anything runs. The distinction that matters: this is application-layer enforcement, not prompt instructions asking a model to behave, so a jailbreak in the conversation does not talk its way past it. MIT, maintained by Microsoft, free.

It is framework-agnostic on purpose, with adapters for LangChain, CrewAI, AutoGen, AWS Bedrock, Google ADK, and Azure AI among others, plus SDKs for Python, TypeScript, Rust, Go, and .NET. You get a CLI, a governance dashboard, and published specs mapped against the OWASP Agentic Top 10. Installation is a package manager command; the actual work is writing policy that reflects what your agents should be allowed to do, which nobody can do for you.

Someone shipping a weekend agent can skip this. Anyone putting an autonomous agent in front of production systems or customer data needs this or an equivalent, and there is no free-versus-paid decision to make because Microsoft ships the whole thing MIT with no commercial gate.

The catch is scope, and it is narrower than the marketing suggests. This governs what an agent does, not what a model says, so prompt injection that produces a bad answer rather than a bad action passes straight through and you still need a content safety layer beside it. It is also public preview, with breaking changes expected before GA.