Show HN: A step debugger for AI agents

I've been experimenting with OpenClaw agents that call hardware tools. The initial goal was getting a local agent to solve a small maze using some benchtop hardware. The agent observes the maze through a webcam, decides its next move, and calls a hardware tool to move. When something goes wrong, it's hard to understand why. You usually end up staring at a huge JSON log of prompts, tool calls, and responses. So I started building a trace harness and an openclaw specific shim to capture structured events from the agent runtime.