Building AI agent products? Most of the hard work isn't the "agent" part — it's the orchestration, memory, human-approval, and observability layer everyone ends up rebuilding from scratch. Took me 2-3 months to build that layer properly the first time.
Packaged it into the Multi-Agent Orchestration Kit:
✓ LangGraph multi-agent backend (supervisor decomposes tasks, delegates to specialists) ✓ Persistent memory — Redis (short-term) + ChromaDB (long-term semantic recall) ✓ Human-in-the-loop approval queue for sensitive actions ✓ Full OpenTelemetry tracing — cost tracking, latency, replay ✓ One-command Docker setup, running in ~2 minutes
Built and stress-tested on a real system — including catching a runaway loop that generated 5,000+ duplicate database rows before it got fixed. That fix (and a couple other real production bugs) is already baked into the codebase.
$99, one-time, commercial license for unlimited personal/client projects.
30% affiliate commission if you want to share it with your network — details on the product page.
