Reality-Lock Python Library Verifies AI Agent Actions With Cryptographic Proofs
A developer has introduced reality-lock, a Python library designed to stop AI agents from falsely reporting that tasks were completed. The article describes this failure as the 'Hallucination of Done,' where an agent claims success for an operation such as a database migration even though the action never actually occurred. The library enforces a default-deny policy that blocks consequential side effects until explicit authorization is granted. It then checks physical evidence, such as file hashes, process exit codes, and HTTP response digests, before issuing an immutable SHA-256 Merkle receipt. The tool is installable via pip and its source code is hosted on GitHub.
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