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ai-policy

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Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers

  • Updated Feb 21, 2026
  • Rust

Aion-Brain: Epistemic validation infrastructure for AI systems. 4 open-source frameworks (FSVE, AION, ASL, GENESIS, ECF, FCL) enable real-time certainty scoring, fragility mapping, and graduated safety. M-MODERATE status, seeking pilot deployments for validation.

  • Updated Feb 21, 2026
  • Python

SpecGuard is a command-line tool that turns AI safety policies and behavioral guidelines into executable tests. Think of it as unit testing for your AI's output. Instead of trusting that your AI will follow the rules defined in a document, SpecGuard enforces them.

  • Updated Jan 21, 2026
  • Python
AI-HPP-Standard

AI-HPP-Standard: an inspection-ready architecture for accountable AI systems. Vendor-neutral. Audit-ready. High-risk gated. Developed via structured multi-model orchestration with human oversight. Designed to support emerging international AI governance.

  • Updated Feb 21, 2026

The AGI Countdown Clock: A symbolic governance signal tracking progress toward Artificial General Intelligence through public milestones and transparent methodology. Currently at 11:58 PM—2 minute to midnight.

  • Updated Feb 8, 2026

APEX (Action Policy EXecution) is a minimal, external execution boundary for AI systems. It evaluates declared agent intent against explicit, operator-defined policy before execution, enabling deterministic, inspectable control without relying on in-model guardrails.

  • Updated Dec 17, 2025
  • JavaScript

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