Concept Demo: An Agent Monitor Built on OpenAI Codex Traces

Melvin Vivas · X video post · 2026-09-16 · 0:04 · 1,326 views · Open on X

Topics: LLMOps, Deployment & Monitoring, AI Agents, Tool Use & MCP, AI Dev Tools & Productivity · Level: intermediate

Summary

This is a 4-second, silent video in which Melvin Vivas shows an "Agent Monitor" dashboard built from OpenAI Codex execution traces and asks viewers whether they would use it. It doesn't explain how the tool works. Its value is the idea: coding-agent traces can feed a monitoring and observability view of what the agent is doing.

Key points

• The item is a 4-second clip with no narration, so it has no tutorial content. It only shows the concept.
• The idea: collect the traces a coding agent like OpenAI Codex produces and show them in a monitoring dashboard.
• Agent traces record each step an agent takes. Viewing them helps you debug its behaviour and see what it did during a session.
• The creator is checking interest ("Would you use this?"), so this looks like an early prototype, not a released tool.

Resources mentioned

• OpenAI Codex · tool · openai.com · paid
  OpenAI's coding agent. In the diagram it writes code, fixes review findings and drives the build loop. The creator also used it to make this video.
  Also in: An agent bot that installs and drives Codex on its own (Melvin Vivas on X · notes), Asking a Coder bot to install Codex (Melvin Vivas on X · notes), Sign in with ChatGPT: Setting Usage Limits for Each App (Melvin Vivas on X · notes), Codex Cloud Environments Must Be Saved & Published Before Use (Melvin Vivas on X · notes) and 240 more
• Melvin Vivas · person · x.com · free
  A creator who shares experiments with AI agents and developer tools on X.
  Also in: How LLMs Work: A Motion-Graphics Explainer Made in One Shot with Claude Opus 5.5 (Melvin Vivas on X · notes), Run Muse Glimmer 30B Locally with llama.cpp and Connect It to Hermes Agent (Melvin Vivas on X · notes), Running MiniMax H3 Locally on a Single RTX 3090 (Demo) (Melvin Vivas on X · notes)

Try this

• Build an agent monitor dashboard that reads OpenAI Codex session traces and shows each step, tool call and result on a timeline.