Stop writing Python glue code for your AI Agents. Use YAML instead

Every time I wanted to build a multi-agent workflow—like having one AI write code and another review it—I hit a wall. Existing frameworks are powerful, but they all forced me to write a massive amount of Python glue code. I had to define nodes, edges, state schemas, and classes just to get two agents to talk to each other. I wanted something simpler. I wanted to say, "Agent A hands off to Agent B, and if the quality check fails, go back to Agent A," all without touching a single .py file. So, I built aqm. What is aqm? aqm is an open-source orchestrator that lets you define complex AI pipelines in a single YAML file and run them directly via CLI. No SDKs, no complex environment setups, and most importantly—no API keys required if you already have your favorite AI CLIs (like Claude or Gemini) configured. Why YAML? When you use YAML, your AI pipeline becomes portable. You can share a single file with a teammate, and they can run the exact same workflow instantly. It turns "code" into "con