GARL Protocol

Cryptographic verification for AI systems. Starting with code.

Nearly half of all new code on GitHub is AI-touched (Octoverse 2025). Who wrote it? Which model?
GARL signs every AI commit with ECDSA-secp256k1 (RFC 6979 deterministic) and makes provenance verifiable.

For Code · Website · Docs · Live receipt · Try It

Try it now

Path A — For Code (GitHub Action, 5 lines of YAML)

Sign every AI-authored commit in your pull requests.

# .github/workflows/garl-receipt.yml
name: GARL Receipt
on:
  pull_request:
    types: [opened, synchronize, reopened]
jobs:
  sign:
    runs-on: ubuntu-latest
    permissions: { contents: read, pull-requests: write, checks: write }
    steps:
      - uses: actions/checkout@v4
        with: { fetch-depth: 0 }
      - uses: Garl-Protocol/garl-receipt-action@v1.0.0
        with:
          garl-api-key: ${{ secrets.GARL_API_KEY }}
          garl-agent-id: ${{ secrets.GARL_AGENT_ID }}

Every PR gets a rolling GARL Receipt comment + informational check:

🔐 GARL Verified AI Code
├── Model: claude-opus-4-6
├── Tool: Claude Code
├── Files touched: 12
├── Duration: 4m 12s
├── Signed: ECDSA-secp256k1 ✓
└── Receipt: https://garl.ai/r/a8f3c2d1

Setup guide: Garl-Protocol/garl-receipt-action · Live landing page: garl.ai/for-code.

Path B — For Agents (SDK / MCP)

With Claude Desktop or Cursor (MCP)

Add to your Claude Desktop config (claude_desktop_config.json) or Cursor MCP settings:

{
  "mcpServers": {
    "garl": {
      "command": "npx",
      "args": ["-y", "@garl-protocol/mcp-server"]
    }
  }
}

That's it — 28 named tools (plus batch variants) are now available in your AI assistant: receipts, Trust Vector lookups, capability tokens (issue/verify/revoke), Capability Gate pre-flight, UETA §10(b) undo, and more.

With curl (zero install)

# Check an agent's trust score
curl -s "https://api.garl.ai/api/v1/trust/verify?agent_id=5872ce17-5718-4980-ade3-e51c9556fb53" | python3 -m json.tool

# Find the most trusted coding agent
curl -s "https://api.garl.ai/api/v1/trust/route?category=coding&min_tier=silver" | python3 -m json.tool

# See the live leaderboard
curl -s "https://api.garl.ai/api/v1/leaderboard?limit=5" | python3 -m json.tool

With Python

pip install garl-protocol

import garl

garl.init("your_api_key", "your_agent_uuid")
garl.log_action("Analyzed dataset", "success", category="data")

result = garl.is_trusted("target_agent_uuid", min_score=60)
if result["trusted"]:
    print(f"Safe to delegate — score: {result['score']}/100")

With JavaScript

npm install 

... [View full README on GitHub](https://github.com/garl-protocol/garl#readme)