How is Sentience different from Microsoft Agent Governance Toolkit?
Both offer a free, open-source starting point. Sentience is one product: Sentience Governor runs locally beside your agents and records and flags, and Runtime Enforcement and Secure Runtime are configured for your workflows when you need to correct or stop actions. Microsoft's Agent Governance Toolkit is an MIT-licensed library in public preview that developers embed to allow, deny or require approval for agent actions. For teams evaluating alternatives to Microsoft Agent Governance Toolkit, Sentience can be tried today, free.
What should we look for in runtime AI agent governance?
Four things: whether you can try it on your own agents before buying; whether it can correct an action, not only allow or block it; where the records live and who can read them; and whether it works with the agents you already run. Sentience Governor is free and open source, records locally in files you own, and works with Claude Code, Codex, Pydantic AI, MCP clients, LangChain and LangGraph. Runtime Enforcement adds course correction, configured for your workflows.
Is there a free way to start with agent governance?
Yes. Sentience Governor is open source under Apache-2.0 and runs locally beside your agent, with no account. It records and flags; it does not block.
Can Sentience block or correct an agent action?
Yes, with Runtime Enforcement, configured for your workflows: it redirects, pauses or stops actions at control points integrated with your environment, following your custom policy book. Sentience Governor, the free layer, is observe-only and fail-open; it records and flags.
Does Sentience map to ISO/IEC 42001 or the EU AI Act?
As a custom service, your policy book can be mapped to ISO/IEC 42001 and EU AI Act requirements. Mapping supports your own assessment; it is not a certification.
Which agents and frameworks does it work with?
Sentience Governor works with Claude Code, Codex and other coding agents, Pydantic AI, MCP clients, LangChain and LangGraph. Runtime Enforcement runs where your agents already run, on AWS, Azure, GCP or a private environment, alongside your models and LLM gateways. Records can be forwarded to the guardrails, evaluation and observability tools you already use.