A cryptographic accountability layer/protocol for AI agents.

This protocol addresses a critical emerging challenge in AI deployment: verifiable accountability for autonomous agents. Traditional logging is insufficient for auditing and trust in high-stakes AI applications. By implementing signed, hash-chained receipts for every agent action, the solution provides an immutable, cryptographically verifiable audit trail. This directly mitigates risks associated with AI opacity and potential misuse, offering a foundational layer for regulatory compliance and trust in AI systems. Microsoft's integration of this code into their agent governance toolkit validates its immediate relevance and market demand. This innovation establishes a new standard for AI agent transparency and security, crucial for enterprise adoption of autonomous AI.