airlock-protocol/airlock
DMARC for AI Agents — open protocol for agent-to-agent trust verification
Platform-specific configuration:
{
"mcpServers": {
"airlock": {
"command": "npx",
"args": [
"-y",
"airlock"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
[](https://github.com/airlock-protocol/airlock/actions/workflows/ci.yml) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/Apache-2.0) [](https://pypi.org/project/airlock-protocol/) [](https://developercertificate.org/)
DMARC for AI Agents — an open protocol for agent-to-agent trust verification in the agentic web.
Registry: api.airlock.ing — every verification routes through the central trust registry by default.
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AI agents are rapidly gaining the ability to communicate with each other autonomously (via protocols like Google A2A and Anthropic MCP). There is no standard mechanism for verifying agent identity, authorization, or trustworthiness. The agent ecosystem is repeating the same mistake email made — building communication without authentication. Email took 20 years to bolt on SPF, DKIM, and DMARC after spam became an existential crisis. The Agentic Airlock builds the trust layer *before* the agent spam crisis hits.
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A 5-phase cryptographic verification protocol with Ed25519 signing at every hop. Each agent interaction passes through:
Resolve → Handshake → Challenge → Verdict → Seal95%+ of verifications complete in microseconds using pure cryptography. The semantic LLM challenge only fires for unknown agents — and only once per reputation tier.
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│ Agentic Airlock │
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