How do you verify an AI agent actually did the work? OpenWorkProof adds Ed25519-signed work contracts, causal evidence chains, and offline verification to multi-agent pipelines.
Last month I merged a bug fix an AI agent wrote. It looked right. The agent said tests passed. I deployed it.
Two hours later, production caught fire.
Not because the agent was wrong — because I never verified anything. I just trusted it.
The problem isn't "can agents do things." It's "can agents prove what they did."
Every multi-agent framework today solves the same problem: make agents talk to each other.
OpenWorkProof v1.0: verifiable execution for multi-agent systems — Ed25519 signatures, offline verification, 2,283 tests
The problem Most code an AI agent writes looks right. It compiles, it reads well, it...
A hands-on demo of cryptographically verifiable agent behavior — a tamper-evident receipt proving an agent ran the approved…
AI agents produce deployable code faster than humans can review it. Here is how we built a delivery evidence chain —…
You let an AI agent edit your repo, run commands, call tools. The next morning someone asks: what did...
A practical walkthrough: notarize an AI-generated report for $0.01 USDC, verify it offline, and anchor it on-chain. Working code,…
