Ecosystem & Implementations
Organizations are independently building AI agent governance toolkits that validate ATF's five-element model.
Microsoft Agent Governance Toolkit
MITSeven-package open-source toolkit providing runtime security governance for AI agents. MIT-licensed with SDKs for Python, TypeScript, Rust, Go, and .NET. Integrations with LangChain, AutoGen, CrewAI, OpenAI Agents SDK, Google ADK, and more.
Officially launched April 2, 2026 under the Microsoft open-source organization. The toolkit's architecture independently validates ATF's five-element model: Agent Mesh maps to Identity (DID-based agent identity with behavioral trust scoring), Agent OS maps to Behavior (stateless policy engine with sub-millisecond enforcement), Agent Compliance maps to Data Governance (automated governance verification and regulatory framework mapping), Agent Runtime maps to Segmentation (dynamic execution rings with capability sandboxing), and Agent SRE maps to Incident Response (SLOs, circuit breakers, kill switches). Additional packages cover Agent Marketplace (plugin supply-chain security) and Agent Lightning (RL training governance). The toolkit team has engaged directly on ATF conformance via GitHub.
Berlin AI Labs
12-service reference implementation covering all five ATF elements with contract validation testing.
An independent implementation demonstrating ATF's applicability to microservices-based agent architectures. Includes comprehensive contract validation testing across all five core elements.
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