I Built a "Blame Finder" for AI Agents – So You Never Have to Guess Who Broke Production

The 3 AM Slack Message We All Fear "Hey, the multi-agent pipeline just deleted the staging database. Any idea which agent did it?" Your PM Agent says it passed a clean requirement. Your Coder Agent says it followed the spec perfectly. Your Verifier Agent says it never even got the output. You spend the next 4 hours grepping through thousands of lines of logs. You find nothing. This is the Accountability Vacuum. And it's a nightmare. So I built a cure: Agent Blame-Finder – an open‑source cryptographic black box for multi‑agent systems. What Does It Do? In 3 seconds, it tells you exactly which agent messed up. $ blame-finder blame incident-abc123 🎯 Verdict: Coder-Agent 💡 Reason: Input requirement was correct, but output didn't match expectations 🔗 Chain: ✅ PM-Agent – success ❌ Coder-Agent – failed ⏳ Verifier-Agent – not reached No more finger‑pointing. No more log spelunking. Just a verifiable, signed receipt of every decision. How It Works (The 10‑Second Technical) Under the hood, it