The trust layer for AI agents — cryptographic proof of every decision
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Updated
Apr 25, 2026 - Python
The trust layer for AI agents — cryptographic proof of every decision
Observer Protocol — Verified Agent Credentials (VAC) for the agentic economy. Cryptographic verification layer for autonomous economic agents.
Deterministic multi-perspective AI consensus engine with cryptographic trace verification and formal convergence guarantees.
Scientific protocol for AI consciousness assessment — SHA-256 proof chain, Merkle root verification, IPFS-anchored reproducibility
42 institutional-grade constitutional documents · SHA3-512 + Ed25519 · DOI: 10.5281/zenodo.18707171 · CC BY-ND 4.0
Pre-delivery truth infrastructure
Deterministic execution boundary for AI systems enforcing signed approvals, replay protection, and cryptographic receipts.
Regulator-side reference PoC for independently verifying anchored Merkle proofs of multi-entity trading logs (VCP Gold/Platinum). Includes Merkle inclusion + external anchor verification and a red/green integrity dashboard.
Independent verification tool for Reliance Infrastructure Canon · SHA3-512 + Ed25519 authentication
OpenExecution Provenance Specification — implements AEGIS (Agent Execution Governance and Integrity Standard) for auditable, tamper-evident AI agent behavioral records. Apache 2.0.
🔒 Secure AI at the edge by binding user, device, and workload identities to ensure integrity, compliance, and trusted operations in real-time.
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