AI Governance Chain
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AI Governance Chain
Can you stop your AI agent, and prove it? Open data and tools that turn the world's AI laws into checks your code, your agents and your CI can run.
Run it now. Needs Node 18 or newer. Nothing to install, no account, no API key.
npx github:mathieugouanou/aigovernancechain jailIn 30 seconds you watch the rules in an AI_GOVERNANCE.md file stop a misbehaving agent:

Pick your door
Developers | Leaders | Public bodies |
Check every pull request against your | Five plain questions to ask your team, each answered by a file or a command: Ask your team. | Obligations for public bodies, model procurement clauses and a transparency record template: Public-sector edition. |
Find which rules apply to your system in your browser: aigovernancechain.com
LAW -> OBLIGATION -> CONTROL -> GATE -> EVIDENCE -> OVERSIGHT
what what you what you what CI what you who can stop
applies must do built checks can prove the system"Chain" means a chain of accountability, from the law to the person who can press stop. There is no blockchain.
Try it in 60 seconds
# Which AI rules apply to a chatbot agent you run in the EU and California?
npx github:mathieugouanou/aigovernancechain scope -j EU,US-CA -r deployer -u chatbot,agent
# Write an AI_GOVERNANCE.md for your repo, then check it
npx github:mathieugouanou/aigovernancechain init
npx github:mathieugouanou/aigovernancechain checkRelated MCP server: AI Compliance Calendar MCP Server
What is in the repository
Piece | What it does | Start here |
Obligation Atlas | 198 cited obligations from 17 regime files covering the 12 Tier-1 regimes: EU, US federal, US states (CA, CO, TX, NY, NYC, IL), China, South Korea, Japan, Vietnam, India, UK, Singapore, Switzerland, Council of Europe | |
Regime cards | One page per regime: who it hits, dates, every obligation with its source | |
Deadline calendar | 300 dated events. Subscribe once, get updates when dates move | DEADLINES.md · |
AI_GOVERNANCE.md standard | One file that tells people, agents and CI how an AI system is governed. Draft spec, JSON schema, generator | |
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Shield GitHub Action | 17 checks on every PR from | |
MCP server | Lets any MCP-capable agent query the Atlas and check files | |
Agent Skills |
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Agent rails | Zero-dependency runtime guard for agents in JavaScript and Python: default deny, limits, human approval, spend limit, kill switch, prompt-injection boundaries, least-privilege identities, read-only SQL, circuit breaker, memory write sources, decision log. JavaScript also screens manipulative messages and marks generated content | |
Policy packs (OPA and Cedar) | Compile the agent rules to Open Policy Agent Rego or Cedar. CI checks that rails, OPA and Cedar decide the same on 600 requests |
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AI-BOM generator | Inventory of declared models, datasets and dependencies as CycloneDX 1.6 or SPDX 3.0.1 (AI and Dataset profiles) |
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Fact-based badges |
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Evidence Pack | Dated, hashed bundle of what was declared and checked, ready to attest |
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Crosswalks | 32 controls mapped to the EU AI Act, NIST AI RMF, ISO/IEC 42001 Annex A and the OWASP Agentic Top 10 | |
GovBench | 549 questions testing whether AI models know when AI rules apply and where they are written | |
AI Governance CTF | Break a toy agent, fix it with | |
Public-sector edition | Obligations for public bodies, procurement clauses, transparency record template | |
Translations | Quickstart in French, German, Italian, Spanish and Brazilian Portuguese |
Who it is for
Developers: know which rules hit your feature before you ship it, and keep the answer in the repo.
Agent builders: put hard limits outside the model. A prompt is not a control.
Leaders and boards: five questions to ask your team, each answered by a file or a command. Start with Ask your team.
Risk, legal and audit teams: one cited dataset, one file per system, evidence generated by CI.
Public bodies: procurement clauses and transparency records built on the same data.
Researchers and model builders: GovBench and an open, versioned dataset of AI obligations.
Add it to your repo
GitHub Action (.github/workflows/ai-governance.yml):
name: AI governance
on: [pull_request, push]
permissions: { contents: read }
jobs:
shield:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: mathieugouanou/aigovernancechain/action@v0.3.0Badge (after aigovchain badge writes .governance/badge.json and you commit it):
[](AI_GOVERNANCE.md)MCP server
{
"mcpServers": {
"aigovernancechain": { "command": "npx", "args": ["-y", "github:mathieugouanou/aigovernancechain", "mcp"] }
}
}Tools: scope_check, upcoming_deadlines, atlas_search, atlas_get_obligation, atlas_get_regime, atlas_list_regimes, check_ai_governance_md, generate_ai_governance_md. All read-only.
Agent rails
import { createRails } from 'aigovernancechain/rails'; // npm install github:mathieugouanou/aigovernancechain
const rails = createRails({ file: 'AI_GOVERNANCE.md', approver: askHuman });
const refund = rails.guard('issue_refund', issueRefund, { amount: a => a.amount });from aigovchain_rails import Rails # pip install "git+https://github.com/mathieugouanou/aigovernancechain#subdirectory=sdk/python"
rails = Rails.from_file("AI_GOVERNANCE.md", approver=ask_human)Status and trust
Alpha. Every regime file is marked
draft-unrevieweduntil a named expert reviewer signs it off. Each Tier-1 regime has an open reviewer seat.Dated and cited. Every obligation has an "as of" date, a primary source link and a confidence level (
high,medium,low). Dates move; the changelog records each change.Not legal advice. The data helps you find and track obligations. It does not tell you whether you comply. See DISCLAIMER.md.
Honest outputs. Tools state facts ("14/16 checks passed"). Nothing here certifies anyone.
AI-assisted. Much of v0.1 was drafted with AI assistance and checked against primary sources by a human. Details in this repo's own AI_GOVERNANCE.md.
Roadmap
Release | Date | Focus |
v0.1 | 4 Nov 2026 | Atlas, cards, calendar, standard, CLI, Shield Action, MCP server, rails, skills, CTF 01 to 03 |
v0.2 | 9 Nov 2026 | Shipped early from v1: policy packs (OPA/Cedar), AI-BOM generator, CTF levels 04 to 10, new agent rules |
v0.3 | 13 Nov 2026 | Shipped early from v1: check 17 in the Shield Action. Also the Ask your team page for leaders and the files to list the project on GitHub Marketplace and the MCP Registry |
v1 | 30 Nov 2026 | Neutral charter in force, GitHub organisation, foundation application, attestation recipe (Sigstore), first Tier-2 regimes, weekly Law Diff releases |
v2 | 18 Jan 2027 | Signed badges backed by attestations, OpenTelemetry governance events, red-team runner, Annex IV and NIST exporters, CTF levels 11 to 20, 15 languages |
All 37 planned ideas and their dates: ROADMAP.md.
Help wanted
Talk to us (20 minutes). We are running 40 discovery interviews by 31 Dec 2026, including 10 with agent builders. Volunteer here. Guide: DISCOVERY.md.
Review a regime. Lawyers, regulators and practitioners: REVIEWERS.md.
Fix a fact. Wrong date, broken link, missing duty: open a correction.
Add a regime. Follow atlas/FORMAT.md and CONTRIBUTING.md.
Governance and neutrality
The project runs under a neutral technical charter and is preparing an application to a neutral open-source foundation by 30 Nov 2026. No paid features live in this repository.
Disclosure. The founder, Mathieu K. Gouanou, also offers commercial AI-governance products and services, including the instrument library that used to live in this repository. That library moved to mathieugouanou/aigovernancechain-library under its original licence. This repository stays vendor-neutral; see CHARTER.md for conflict-of-interest rules.
Licence
Code: Apache-2.0. Data, documentation and the AI_GOVERNANCE.md specification: CC BY 4.0. See NOTICE and TRADEMARK.md. Cite with CITATION.cff.
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