AgentMES
shippedManufacturing execution system for autonomous agents. OpenAI's 7-stage AI-Native Engineering Workflow as a bipartite state machine — agents do throughput work, humans own the judgment gates.
AgentMES is a manufacturing execution system for autonomous agents.
The architecture: tickets flow left to right through 7 columns in a kanban. Agents do the throughput work (planning, drafting, coding, testing, verifying). Humans own the judgment gates (approval, taste calls, edge-case overrides). Receipts accumulate inside each card so the final card body is the audit trail. No separate logs to reconcile.
The demo runs two tickets in parallel through the same pipeline — a code change (OAuth /v2 rate-limit fix that triggers the Stage 5 memory-drift catch) and a knowledge-work ticket (status-update email) — both finishing in merged state in under 10 seconds. Same orchestrator, two kinds of work.
Renderer-agnostic. The same 7-stage orchestrator drives a terminal kanban (Rich) and a real interactive web kanban (FastAPI + SSE). Pick the surface; the state machine is identical.
Originally built at the Blaxel × Codex × Redis AI Hack Day at Wordware HQ (April 2026). The substrate decision was the takeaway: MES-style bipartite state machines are the right backbone for human-in-the-loop agent work — agents handle the throughput, humans hold the bar.