Cloud computer for every agent, with your tools and team.
Interactive worlds for people and AI to build, learn and solve problems together
Stage
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Founded
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Based in
NO
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Pricing model
Freemium
Free
Pricing
Free: $10 monthly usage credit. Pro: $20/month for $100 monthly usage credit. Max: $100/month for $500 monthly usage credit. Enterprise: custom volume pricing. All plans include 5× usage credit for model calls at provider's API price with no markup. Pay-as-you-go top-ups available.
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Key features
Each agent gets its own dedicated computer in the cloud
Agents keep working after you close your laptop
Run many tasks in parallel, each on its own computer
Encrypted vault for credentials and secrets
Connect tools once, all agents can use them
Support for any AI model including your own subscriptions
Multiplayer chats teammates can continue
Scheduled recurring work on a schedule
Approval controls for risky actions
Start tasks from Slack, web app or phone
Photo to brick set conversion with 3D preview and parts list
Workbench for collaborative brick-by-brick editing
MCP server integration with Claude Code, Codex, Cursor and more
Build structure checking and validation
OAuth sign-in with no token storage
Offline build access with local browser storage
Export digital manuals and wanted parts lists
Interactive environments for AI training
Consent-based human demonstration recording
What makes it different
Open source under Apache 2.0, self-hostable or run on managed cloud
Same harness works for team agents, software development automation, and embedding in your product
No markup on model API costs; credits give 5× value
Agents run real terminal commands, tests and git operations
Teams share one workspace with shared integrations and role-based access
Checked outcomes - part connections and build validity are verified by software before delivery
Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
People and AI work on the same design simultaneously within the workbench
Measurable AI learning with transfer testing across different worlds