NodeXLoop — Agent Loop DevTools
Debug AI agents like you debug code
What it does
A visual debugger for AI agent loops, inside VS Code. Build Agent → tool → critic → retry → gate → test → approve on a canvas, run it node-by-node with breakpoints, and see exactly which call the guard blocked and why. The graph is aloop.yaml next to your code, so it reviews in the same PR. Axiom guard on by default: a stalled critic loop drops from 20 model calls to 6, a prompt injection costs 0. 37 templates, org review (local preview), audit export. Free on the Marketplace and Open VSX
NodeXLoop is a visual debugger for AI agent loops in VS Code and the browser: build agent → tool → critic → retry → gate loops, run them node-by-node with breakpoints, and see which call the Axiom guard blocked and why. Free, Apache-2.0.
If your code has breakpoints, why does not your business? Step through a delivery that slipped, a funnel that leaks or an agent that fabricates — the same way you would step through code. Star one to pin it here. A graph here is an agent loop you can step through: agent → tool → critic → retry → gate → output. Everything runs against your own models and keys — nothing is proxied through us, and the governor runs on this machine. Open the model registry and paste a key, or point it at Ollama or any OpenAI-compatible endpoint. A model with no key is marked amber on the node rather than failing mid-run, so you can see it before you press Run. Start from one…from nodexloop.orivael.dev
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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