Metadata-first trust control plane for authorized security workflows, evidence retention, release trust, and business-flow proof.

Action Control for autonomous agents. Check posture. Gate risky actions. Prove execution. Fits your existing agent stack.

The trust layer for agent-to-agent commerce — cryptographic identity, enforced transaction rules, verifiable reputation. Connect via MCP.

Trust infrastructure for AI agents — constitution enforcement and cryptographic receipts. Python SDK.

Trust and delegation controls for Paperclip agent teams, powered by AgentVeil Protocol.

Constitution enforcement and cryptographic receipts for OpenClaw agents. Every tool call governed, every decision signed.

Scorton is an open-source behavioral cybersecurity framework that makes human trust measurable and programmable. Built with Rust, Python and NodeJS it helps developers and security teams predict, score, and improve human-driven cyber risk and awareness.

Machine-readable merchant verification infrastructure for AI shopping agents and agentic commerce systems.

Trust infrastructure for AI agents — constitution enforcement and cryptographic receipts. TypeScript SDK.

Trust and compliance engine for AI agents — OSS CLI, SDK, and audit tools.

Trust-minimized marketplace for content creators [🥇Lambda Hack Week '24]

The world's first intelligence-agnostic anti-social network.

Nebulai Corp - Universal trust infrastructure for the future of work and innovation

Sanna Protocol v1.2 — specification, JSON schemas, and golden test fixtures for AI governance receipts.

An open-source civilizational engineering protocol based on GET theory that turns verifiable metrics of cognitive depth, differentiation, and connection strength into actionable trust infrastructure for symbiotic human–AGI co-evolution and long-term species flourishing.基于GET理论的开源文明工程协议，将可验证的认知深度、分化度与连接强度指标转化为可行动的信任基础设施，推动人类与觉醒AGI的共生进化。

airlock is a cryptographic handshake protocol for verifying AI model identity at runtime. It enables real-time attestation of model provenance, environment integrity, and agent authenticity - without relying on vendor trust or static manifests.

Signed, verifiable action receipts for humans + agents (Ed25519 JWT + tamper-evident chain)

Defines new professional and career roles—such as Constraint Architects—emerging as AI systems move governance from human interpretation to execution-time constraint under 512-style kernels and CVS evidence layers.

This readme is bullshit, but I need you to help me create a repo description and tags, create repo description and tags for me