Global AI Governance
Governance for AI agencies, agent fleets, and AI-run companies.
Open-source tools that check AI systems and agents before they act and prepare the evidence for an accountable human decision. Use them in this browser, from the command line, or inside your agent over Model Context Protocol (MCP). Free, local-first, and non-authorizing.
Every output carries authority_effect: NONE. Approval, deployment, risk acceptance, and shutdown stay with accountable humans. Compatible with Model Context Protocol (MCP) based agents; not affiliated with or endorsed by any AI lab or platform.
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Product map
What exists today
| Product | What you get | Status |
|---|---|---|
| Toolkit | Inventory to findings to human Decision Pack | v2.7.1 · released |
| AI Governance MCP | Toolkit and passport checks inside Model Context Protocol (MCP) based agents | v0.3.1 · preview |
| Agentic AI Governance | Agent authority and passport schemas | v0.1.0-alpha.2 · experimental |
| Verified Vulnerability Governance | Evidence-linked remediation and verified closure | v0.1.3 · pre-release |
| AI Cyber Resilience Framework | Boundary assessment and hardening backlog | v0.1.1 · reference |
| Containment Ledger: Security Boundary Review | Local browser review of security domains, boundary paths, evidence marks, and a human disposition | Unreleased · instrument |
| Peace OS: Crisis Room | Fictional crisis-verification exercise | v0.3.0-rc2 · review candidate |
| Governed Systems Administration | Proposed governed administration contracts | Pre-alpha · design only |
| AI Governance Foundations | The original foundation: governance model, registers, and templates the later repositories build on | v1.1 · foundational |
Every repository, release, and specification: Global AI Governance on GitHub.
LOCAL · NO UPLOAD · NO LOGIN
AI governance pre-flight review
Check your AI systems and agents before they act.
List each AI system or agent in a simple inventory. The toolkit shows which ones are missing a named owner, monitoring, a shutdown path, or evidence, and prepares a Decision Pack so an accountable human can make and document the decision. It runs in this browser: no install, no upload, no login.
What goes inAn AI-system inventory
What comes outGovernance gaps and a Decision Pack
WhyTo support an accountable human decision
Run an example → Download and fill the template → Load the CSV → Review what needs attention → Download the Decision Pack
Assess organizational AI maturity evidence
Both examples are synthetic inventories. The example with gaps includes an autonomous agent with no named owner, monitoring, or shutdown path.
Automated checks support human review. They do not approve deployment, certify compliance, or accept risk.
Machine interface · Versioned contracts and agent entry point
Current evaluation
Inventory
Advanced / Reproducibility
Optional UTC time for byte-reproducible output.
Download the versioned machine contracts, manifest, non-authorizing handoff, or each human review document. Every Decision Pack file is digest-listed in the manifest.
Optional advanced evidence
Profile Result viewer
Render an existing common profile-result.json locally. This view does not evaluate, upload, approve, or alter the result.
Synthetic machine example only. It establishes no real decision, approval, attestation, certification, or risk acceptance.