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Published February 28, 2026 | Version v1.7.1

Mnemosyne Protocol v1.7.1: Deterministic Governance and Zero-Trust Pipelines

  • 1. Mnemosyne Labs

Description

The rapid adoption of Generative AI has introduced ungoverned probabilistic generation risks to enterprise workflows. Current paradigms operating as untrusted "black boxes" fail to provide IP protection and supply-chain integrity. The Mnemosyne Protocol introduces a zero-trust, fail-closed architecture via an auditable Policy-as-Code layer. Visual compliance is cryptographically secured via Merkle Tree constructs, transforming AI swarms into mathematically chained, high-volume labor units under sovereign human authority.

Formatting + schema hardening; no semantic changes.

Files

asset.attestation.schema.json

Files (185.3 kB)

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md5:649835a5bc49eb7b158f5c3f0b7607c8
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md5:da15ae64f8a809f7c9a2ced6731e02ef
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md5:a59edcceab9532a7d727cc06e5e7f177
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md5:4e987eaef3c4436f31cd35610dc7135f
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Additional details

Dates

Issued
2026-02-27
Mnemosyne Protocol v1.7: Deterministic Governance and Zero-Trust Pipelines

Software

Repository URL
https://github.com/Mnemosyne-Protocol/Mnemosyne-Core
Programming language
Python
Development Status
Active