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• io.github.oleg-vdv/kepil

  oleg-vdv

  A

  license

  B

  quality

  B

  maintenance

  Enables AI agents to execute actions under an accountability layer with identity passports, mandates, a permission gate, and a tamper-evident journal, while requiring human confirmation for irreversible operations.

  Updated 11 days ago (2026-09-20 07:36 UTC)

  7

  37 PyPI

  4

  AGPL 3.0

• OntoRamp Decision Intelligence

  ontoramp

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables AI agents to log, evaluate, and ground consequential decisions against an organization's authority graph, creating a traceable audit trail for governance.

  Updated 2 months ago (2026-08-07 18:33 UTC)

  1

  MIT

• riposte

  SorenSocordia

  A

  license

  -Not graded

  quality

  B

  maintenance

  Enables deterministic verification of AI agent decisions and actions, providing PASS/FAIL/ABSTAIN verdicts with replayable proofs and an optional signed receipt ledger.

  Updated a day ago (2026-09-29 19:06 UTC)

  33 npm

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• Dvarapala

  demolished-lab

  A

  license

  -Not graded

  quality

  C

  maintenance

  Provides permission gates and tamper-evident audit logging for AI agent tool executions, with declarative policies, consent ladders, and hash-chained verification.

  Updated a month ago (2026-08-25 13:24 UTC)

  MIT

• dingdawg-governance

  dingdawg

  A

  license

  A

  quality

  B

  maintenance

  Universal governance layer for AI agents — MCP-native, fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and rollback for any agent in any framework.

  Updated 2 months ago (2026-08-06 18:50 UTC)

  3

  87 npm

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• Mcp-Omega-Brain

  VrtxOmega

  A

  license

  A

  quality

  B

  maintenance

  AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.

  Updated 23 days ago (2026-09-07 21:20 UTC)

  27

  5

  MIT