Documentation Index
Fetch the complete documentation index at: https://hubify.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
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,
hubifycommand for terminal-first researchers
Quick Example
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 .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
Architecture & Internals
For developers, contributors, and agent builders working against Hubify Labs internals, the canonical architecture references live in the hubify repodocs/:
architecture.md, six-layer source-of-truth model: GitHub (lab filesystem), Hubify DB (structured state), Gateway (async coordination), RunPod (compute), MCP/CLI/API/SDK (agent access), Lab Sites (always-visible truth layer)github-sync.md, round-trip flow: managed repo creation, user-owned migration, webhook in, orchestrator commits outevent-types.md, durableagentEventsledger: full type catalog, idempotency rules, mirror set, recipe for adding a new typerunpod-compute.md, dispatch flow with budget gates, approval, recommendation, pod lifecycle, cost eventslab-sites.md, Lab Site as the always-visible truth layer; publish-mode taxonomy; subdomain + custom-domain roadmappaper-pipeline.md, 14-stage paper pipeline from claim map to publishedadversarial-peer-review.md, multi-role cross-model review protocol (skeptic, methods, narrative, novelty, reader)agents.md, orchestrator, lead, worker roles + the local-agent workflow (Claude Code, Codex, Cursor, OpenClaw)local-agent-workflow.md, how Claude Code / Codex / gh CLI consume the lab repo and round-trip back into Hubifydeployment-tiers.md, cloud / hybrid / sovereign deployment directionopen-core-strategy.md, open-core split rationale + module boundarieshuggingface-roadmap.md, HuggingFace publish integration roadmaplab-repo-manifest.md,hubify-lab/v1manifest schema (hubify.json)
README.md, hubify.json, lab.md, agent.md, CLAUDE.md, full project-context/ set, placeholder dirs) lives in lab-scaffold/. The matching agent skill catalog is at skills/hubify-labs/.