
Reference implementation of LICITRA-MMR, an open-source ledger primitive that combines a Merkle Mountain Range (MMR) data structure with per-organization epoch anchoring, a versioned canonical JSON specification, and an atomic two-phase commit pipeline for cryptographic audit integrity in agentic AI systems. Contains: MMR construction module, canonical JSON serializer, two-phase commit pipeline, epoch chaining, inclusion proof generation, 11 tests (all passing), 5 evidence scenarios. Python 3.12+, FastAPI, PostgreSQL 16, MIT license. Part of the LICITRA Technical Report Series. Companion report: LICITRA-TR-2026-01 (DOI: 10.5281/zenodo.18843032).
Merkle Mountain Range, tamper-evident logging, agentic AI security, cryptographic audit, Python
Merkle Mountain Range, tamper-evident logging, agentic AI security, cryptographic audit, Python
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