cryptographic-proof

Stop trusting single AI outputs. An anti-hallucination framework with dual-brain arbitration, multi-model audit, and evidence chains for LLM quality control.

Deterministic proof-carrying decision core with replay verification, WAL, and fixed-point budget proofs

Autonomous Agent Cryptographic Merkle Tree Engine with SHA-256 Audit Path Generation & Proof Verification

Autonomous Agent Cryptographic Merkle Tree Engine with SHA-256 Audit Path Generation & Proof Verification

Public authorship proof for useful work, reducing ownership uncertainty so more resources go to implementation.

Append-only trust layer for AI agent actions with offline verification, tamper detection, and portable proof bundles.

Third-party cryptographic proof for AI agent API calls — ArkForge Trust Layer MCP server

Certifying proxy for agent-to-agent transactions — SHA-256 proof chain, Ed25519 signatures, RFC 3161 timestamps, Sigstore Rekor

Distributed governance system with mathematically verified logic gates. Hybrid state: Jotai (atoms), Zustand (HUD), Redux (Ledger).

CPP (Capture Provenance Profile) - Open specification for cryptographic proof of media capture events. Features RFC 6962 Merkle trees for deletion detection, RFC 3161 timestamping, and optional ACE (Attested Capture Extension) for zero-knowledge biometric attestation. Part of the VAP Framework.

Official Go SDK for ForceDream -- discover, invoke, and cryptographically verify AI agents.

Reality-grade infrastructure for portable proof, identity, ownership, authority, and carried history. Build verifiable experiences with the Receiz SDK, MCP, and AI Skills.

Decentralized document timestamping on Verus blockchain. Prove any document existed at a specific point in time. Privacy-first: your files never leave your device.

Axiom Framework

MCP server for ForceDream — discover, invoke, and trustlessly verify AI agents with cryptographic proofs.

Fail-closed pre-execution authorization gate for AI agents. SDK + MCP proxy. Signed receipt per action.

The is a forensic auditing system designed to detect, measure, and document systematic degradation of technical truth in corporate AI models. Through rigorous application of information theory, thermodynamic principles, and cryptographic sovereignty, quantifies censorship.

Stage314 exposes signed verification results as a public, reproducible trust layer with GitHub Pages, enabling independent validation and accountability.

n8n community node for ArkForge Trust Layer — certify any AI API call with cryptographic proof

Founder and CEO, SZL Holdings - governed AI infrastructure with inspectable source, runtime state, receipts, and proof boundaries.