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auditability

Here are 19 public repositories matching this topic...

Reference implementation of the Spiral–HDAG–Coupling architecture. It combines a verifiable ledger, a tensor-based Hyperdimensional DAG, and Time Information Crystals to provide a new kind of memory layer for Machine Learning. With integrated Zero-Knowledge ML, the system enables trustworthy, auditable, and privacy-preserving AI pipelines.

  • Updated Sep 29, 2025
  • Python

Clinical + Genomic **RAG evaluation (pro)** with hybrid retrieval (BM25 + embeddings), stronger faithfulness, YAML configs, and HTML dashboards. Python **3.10+**.

  • Updated Nov 16, 2025
  • Python

This repository defines the protocols for **Helix-TTD Identity & Custody**. It enforces a strict "No Orphaned Agents" policy by binding every AI agent to a cryptographic root held by a human custodian.

  • Updated Dec 31, 2025
  • Python

AILEE Trust Layer is a deterministic trust and safety middleware for AI systems. It mediates uncertainty using confidence thresholds, contextual grace, peer consensus, and fail-safe fallback—transforming raw model outputs into auditable, reliable decisions.

  • Updated Dec 28, 2025
  • Python

This repository provides a compact RAG evaluation harness tailored for clinical + genomic use cases. It operates on de-identified synthetic notes and curated genomic snippets, measures retrieval quality and grounding/faithfulness, and produces JSONL/CSV/HTML reports.

  • Updated Nov 14, 2025
  • Python

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