Multi-model pipeline
Worker models propose content in parallel. A user-starred master model merges structured outputs. If merge fails, the app falls back gracefully.
How it works
Your five-step health exploration
From first symptom to multi-model pre-doctor analysis — a structured path designed for clarity and exploration, not cold clinical forms.
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Home
Enter your health issue, gender, age, and reasoning depth. Starting a new run resets usage totals for a fresh session.
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Questionnaire
AI generates personalized intake questions. Remove any question you don't want with the top-right X.
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Laboratory
AI suggests lab tests and imaging. Toggle "I have this report" on each card before entering your results.
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Pre-doctor Room
Final clarifying questions after intake and lab data are collected — no repeated questions from earlier steps.
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Doctor
Multiple AI models stream independent pre-doctor analyses in parallel. Compare tabs and optionally view each model's reasoning.
Features
What makes NeuroAGI different
Multi-model orchestration, configurable settings, and live transparency — built for developers and curious users who want to explore AI-assisted health intake.
Configurable Models popup
Enable or disable models, star one as master, browse Free and Paid tabs with latency, throughput, and price hints.
Reasoning level control
Home dropdown: None, Low, Medium (default), High, or Very High — controls how deeply doctor models think before writing analysis.
Live usage tracking
Top-right cost and tokens pills update in real time across every screen during a run — full session transparency.
Rich question types
Single and multi select, sliders, dual-thumb ranges, free text, and "Other" options in a responsive card grid.
Parallel doctor analysis
One tab per model with streaming markdown reports. Thinking bubble and collapsible reasoning panel for capable models.
Screens
Every screen, explained
Five screens, one guided flow. Each step builds on the last with AI-generated content tailored to what you've shared so far.
Home screen
- Health input with arrow submit, reasoning / gender / age dropdowns
- Gear icon and Models button in the top-left corner
- Live usage bubbles (tokens + cost) in the top-right
- Press Ctrl+Enter (or Cmd+Enter on Mac) to start quickly
- Starting a new run resets both usage counters
Questionnaire screen
- Back pill, centered title, Submit pill bottom-right
- Responsive grid of question cards with delete X on each
- Radio pills, checkbox pills, slider, dual range, text area
- Loading state: "Loading questions…" while AI generates intake
Laboratory screen
- Same card grid layout as Questionnaire
- Toggle per card: "I don't have this report" / "I have this report already"
- Dimmed disabled card when toggle is off
- Loading state: "Loading laboratory tests…"
Pre-doctor Room screen
- Same card grid with delete X — like Questionnaire
- Subtitle emphasizes "final clarifications" before analysis
- No lab report toggle on these cards
- Questions are unique — nothing repeated from earlier steps
Doctor screen
- Monospace tab row with model names; spinner on streaming tabs
- Thinking bubble, collapsible "See thinking" panel, streaming status
- Formatted sections: Summary, Most Likely Causes, Red Flags, and more
- Clipboard pill + tokens + cost bubbles in the top-right
Models
Configure your AI model pool
Choose which models participate in each diagnostic step. Star one master for merge operations. Enable at least one worker before starting a questionnaire run.
Master model tip
Star one master model for merge steps. Enable at least one worker before starting a questionnaire run. The master consolidates worker outputs into structured questionnaire and laboratory content.
Output
What you receive from each model
Structured pre-doctor analysis in plain language — designed for exploration and education, not clinical decision-making.
UI preview — sample output
Transparency
Live usage tracking on every screen
2,241 tokens
USD 0.0002685564
Totals accumulate across every AI call in your session. Starting a new run from Home resets both counters. Navigating between screens does not reset them — so you always see the full picture of what your exploration has used.
Open source · MIT License · Electron desktop
Get started in three steps
NeuroAGI is an Electron desktop app built with plain HTML, CSS, and JavaScript. Powered by OpenRouter and available on GitHub under the MIT license.
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Clone the repository
Download NeuroAGI from GitHub to your machine.
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Install and launch
Install dependencies with npm, then launch the app. On Windows, optional batch helpers simplify setup.
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Configure your API key and models
Add your OpenRouter API key in a local environment file. Open Models on the Home screen, enable models, and star one as master.
Requirements: Node.js LTS · npm · OpenRouter API key · Windows batch helpers optional
Disclaimer: NeuroAGI is an experimental UI shell — not a certified medical device or clinical decision tool. It does not replace professional medical judgment. Do not use it for real patient care without appropriate validation, compliance, and oversight.
Community: Code of Conduct · Security · Support · Changelog