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Latest Release: uds-v0.3.0

Released: 2026-05-29 | Doctrine: v6 (strict) | Source: github.com/szl-holdings/amaru

Field Value
Tag uds-v0.3.0
Source commit b18ca5cd0a04e60f18573df2fc5ed2a6abb5228e
Tarball amaru-uds-0.3.0.tar.zst
Size 381,567 bytes
SHA256 84bbbb362955b5a8330b04f7b73eb7ad02fdc235f23ef71cfa7467b77d1a261c
Signing PENDING — cosign key escrow required (see GitHub release notes)
GitHub release https://github.com/szl-holdings/amaru/releases/tag/uds-v0.3.0

Verify SHA256

pip install huggingface_hub
python3 -c "
from huggingface_hub import hf_hub_download
p = hf_hub_download('SZLHOLDINGS/amaru-source', 'amaru-uds-0.3.0.tar.zst', repo_type='dataset')
import hashlib
with open(p,'rb') as f: data=f.read()
print(hashlib.sha256(data).hexdigest())
"
# Expected: 84bbbb362955b5a8330b04f7b73eb7ad02fdc235f23ef71cfa7467b77d1a261c

Cosign Verify (once signing complete)

cosign verify-blob \
  --key amaru-uds-dev.pub \
  --signature amaru-uds-0.3.0.tar.zst.sig \
  amaru-uds-0.3.0.tar.zst

Org dev public key (P-256 ECDSA):

-----BEGIN PUBLIC KEY-----
MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEIcKzhZ7zCKrBDcmdaBGUOpNyJvRj
4wkQ8nftahptyPXzH613e3mYyhtkH1mxFM0fNCra17wkBvorFNPuolNZRQ==
-----END PUBLIC KEY-----

amaru — Cardano-Anchored Governance Receipt Minting

License: Proprietary DOI

Source mirror of github.com/szl-holdings/amaru. amaru is the Brain organ of the SZL anatomy: Cardano-anchored memory attestation with a 7-chakra serpentine scheduler and Shor-encoded provenance.

License note: Currently proprietary (LicenseRef-SZL-Proprietary). Relicense to Apache-2.0 pending founder decision (PR #46, DRAFT).

Signal Value
Role in anatomy Brain (yuyay)
Anchor Cardano blockchain
Scheduler 7-chakra serpentine
Provenance Shor-encoded
Receipt format DSSE-signed

Architecture

flowchart TD
    A[Memory Input] --> B[7-Chakra Scheduler]
    B --> C[Shor Encoder]
    C --> D[Cardano Anchor]
    D --> E[DSSE Receipt]
    E --> F[uds-mesh → rosie]

Cross-links

Citation (BibTeX)

@misc{lutar2026ouroboros,
  title  = {Ouroboros: Formal Verification of Agentic AI Governance — v18.0},
  author = {Lutar, Stephen P.},
  year   = {2026},
  doi    = {10.5281/zenodo.20434276},
  url    = {https://doi.org/10.5281/zenodo.20434276}
}

Contact

Stephen P. Lutar · stephen@szlholdings.com
ORCID
github.com/szl-holdings · huggingface.co/SZLHOLDINGS


Doctrine v6 strict — no marketing superlatives — every claim verifiable.

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