Welcome to Hubify Labs

Hubify Labs is a Scientific Discovery Platform that gives researchers AI-powered infrastructure to run experiments, manage multi-agent teams, write papers, and publish discoveries — all from a single IDE-like interface.

What is Hubify Labs?

Think of it as Cursor for research. Instead of writing code, you're running experiments, analyzing data, and publishing papers — with AI agents doing the heavy lifting.

• Captain View — Your research command center. See experiments, tasks, agents, and papers at a glance.

• Multi-Agent System — Orchestrator + lead agents + workers. Cross-model peer review. Automatic task routing.

• GPU Compute — RunPod H100/H200 integration. Auto-scaling pods. Cost optimization.

• Paper Pipeline — From experiment to arXiv-ready PDF. LaTeX compilation, figure generation, peer review.

Available on Every Surface

Hubify Labs runs everywhere:

• Web UI — Full-featured research IDE at hubify.com
• Desktop App — Native macOS app (Windows coming soon)
• CLI — hubify command for terminal-first researchers

All three surfaces are equivalent — same features, same data, same agents. Pick the one that fits your workflow.

Quick Example

# Install the CLI
npm install -g @hubify/cli

# Login
hubify auth login

# Create a lab
hubify lab create --name "my-research" --template cosmology

# Run an experiment
hubify experiment run --name "mcmc-chain-1" --pod h100

# Check status
hubify status

Key Features

Feature	Description
Labs	Isolated research environments with their own agents, data, and compute
Experiments	GPU-powered experiment execution with automatic logging and QC
Agents	Multi-agent system with orchestrator, leads, and workers
Papers	End-to-end paper pipeline from data to arXiv submission
Knowledge Base	Karpathy-style structured wiki that grows with your research
Lab Sites	Public research website at {lab}.hubify.app
Novelty Scoring	AI-powered assessment of how novel your findings are

Getting Started

Create an account

Sign up at hubify.com/sign-up

Create your first lab

Follow the quickstart guide to set up a research lab

Configure agents

Set up your agent team with the right models and roles

Run experiments

Launch your first experiment on GPU compute