Nobulex – Cryptographic receipts for AI agent actions
Proof-of-behavior for AI agents before Anthropic or OpenAI build their own.

Counterfactual receipts prove what agents chose NOT to do—genuinely novel audit trail.
AI agent developers, enterprise teams using autonomous systems
DataDog APM · HashiCorp Vault audit logs
I built this by accident. I started with a proprietary agent-to-agent protocol because I wanted secure multi-agent communication — 7-layer zero-trust, sub-3ms P50 latency, 1,100+ RPS. The protocol worked better than expected, and I realized the receipts it generated were themselves useful. So I built NotaryOS on top of it.
The obvious limitation: agents self-report their non-actions today. Same trust model as git — the author commits, the DAG enforces integrity. I'm building external verification via commit-reveal protocol, which is partly why this is a beta. The other reason: 350+ unique clones on the repo, zero stars, and I've started seeing "counterfactual receipts" referenced online. Things move fast in the agent space — I'd rather ship early than ship perfect.
I have no social media presence and I'm not in the tech industry. I don't know how to market this. HN seemed like the right place. If you have feedback on the idea, the API design, or advice on where to take this — I'm genuinely asking.
For anyone curious about the underlying A2A protocol (the backend that powers this), happy to share more about the architecture. It's a separate proprietary system, but the design decisions around zero-trust agent communication and low-latency message routing might be interesting on their own.
Try it (no account needed):
curl -s https://api.agenttownsquare.com/v1/notary/sample-receipt | python3 -m json.tool
pip install notaryos npm install notaryos
Verification is always free. Public key at /.well-known/jwks.json.
GitHub: https://github.com/hellothere012/notaryos Live: https://notaryos.org
Contact Email: [email protected]Proof-of-behavior for AI agents before Anthropic or OpenAI build their own.
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