Chrome DevTools for AI models and agents — see attention, features, and agent steps inside any local model. Placeholder release; v0.1 in active development.
Project description
ModelMRI
Chrome DevTools for AI models and agents. Load any local model — LLM, VLM, or robot policy — and see inside it while it runs: attention, features, circuits, agent steps. Local-first. MIT.
🚧 Under active construction, in public. v0.1 (live attention playground) ships in ~2 weeks. Follow the build: Substack
Why
When a model gives a wrong answer, you can't see why. When an agent fails at step 47, you get a wall of logs. When a robot policy drops the object, you get nothing. The research tools that can see inside (SAEs, attention analysis, circuit tracing) live in notebooks only specialists can drive.
ModelMRI packages that research into a tool with the ergonomics of browser DevTools: one-line install, open localhost:5900, look inside.
Planned (the 12-week public roadmap)
- v0.1 — load a HuggingFace LLM, watch attention flow live at 60fps (WebGL)
- v0.2 — SAE feature browser: see the concepts inside the model, steer them
- v0.3 — agent mode: record any Anthropic-SDK/Claude-Code agent run, replay it, find the failing step
- v0.4 — the first interactive tool for looking inside a robot policy (SmolVLA + LeRobot)
- v0.5 — polish, zero-install hosted demo, launch
Status
| Piece | State |
|---|---|
| Backend (FastAPI, activation hooks) | 🏗️ in progress |
| Frontend (React + WebGL) | 🏗️ in progress |
pip install modelmri |
placeholder published |
MIT © Muhammad Mahad Azher
Release history Release notifications | RSS feed
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