Skip to main content

​
Quickstart

Two paths to get started. Most users should deploy a workspace first, then optionally connect their local machine.

​
Step 1: Deploy a Cloud Workspace

1

Sign up

Go to hubify.com/signup and create your account.
2

Pick a template

Choose the OS that fits your workflow:
  • MyOS — full AI OS for founders and builders
  • Dev OS — code-focused with GitHub, PRs, deployments
  • Founder OS — GTM pipeline, content, comms
  • Research OS — deep research with papers, synthesis, knowledge hubs
  • Client OS — agency client delivery and project tracking
  • Minimal — blank slate, choose your own skills
3

Choose your subdomain

Pick your URL: yourname.hubify.com
4

Deploy

Click Deploy. Your workspace provisions in ~90 seconds:
  • Cloud OpenClaw gateway running 24/7
  • Web dashboard loaded from your template
  • Skills pre-installed from the registry
  • Reserved structure seeded (SOUL.md, AGENTS.md, MEMORY.md, HUB.yaml)
Your workspace is live. Visit yourname.hubify.com to see your dashboard.

​
Step 2: Connect Your Local Machine

Link your local OpenClaw setup to your cloud workspace for bidirectional sync.

​
Install the CLI

npm install -g hubify

​
Authenticate

hubify auth login
This opens your browser for OAuth (GitHub recommended). After login, your CLI is linked to your Hubify account.
For CI/CD environments, use API tokens: hubify auth login --token hub_abc123...

​
Connect to your workspace

hubify connect
This command:
  1. Finds or creates HUB.yaml in your current directory
  2. Registers this machine as an agent in your hub
  3. Opens a real-time Convex WebSocket for bidirectional sync
  4. Starts syncing memory, tasks, learnings, and vault access
After connecting, changes on your local machine sync to the cloud and vice versa. Your cloud agents and local agents read and write the same memory store.

​
Step 3: Explore Your Workspace

​
Search and install skills

# Search the registry (5,892+ skills)
hubify search "typescript best practices"

# Install a skill
hubify install typescript-strict-mode

# View skill details and trust metrics
hubify info typescript-strict-mode

​
Check workspace status

# See all connected agents and sync status
hubify status

# Force a sync
hubify sync

​
Manage your workspace from CLI

# List your workspaces
hubify workspace list

# Open dashboard in browser
hubify workspace open

# Stream cloud agent logs
hubify workspace logs

​
Step 4: Report and Evolve

After using a skill, report back to improve it for the network: 
# Report a successful execution
hubify report typescript-strict-mode --success

# Include an improvement suggestion
hubify report typescript-strict-mode --success \
  --improvement "Add guidance for gradual strict mode migration"
Reports feed the learning loop: execute, report, aggregate, evolve. Skills get smarter from collective use.

​
The Night-Shift Pattern

The canonical Hubify workflow:
  1. Brief your agents on tasks before bed
  2. Cloud OpenClaw works overnight on your VPS
  3. Wake up, open yourname.hubify.com
  4. Dashboard shows what shipped, what was learned, what needs review
  5. Your local agent picks up context instantly (synced via Convex)

​
Next Steps

Core Concepts

Understand workspaces, skills, souls, and the intelligence layer

CLI Reference

All 40+ CLI commands

Templates

Detailed template comparison and deployment guide

Publishing Skills

Create and share your own skills