Cloud computer for every agent, with your tools and team.
AI model of your product's business logic accessible to people and AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
NO
GB
Pricing model
Freemium
Freemium
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.
Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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
Builds features, rules and customer paths and keeps them current with every push
Shows what each commit changed in the business logic, not only in the code
Provides change impact analysis before merge showing what could break
Checks PRDs and specifications against the product
Delivers understanding to AI agents over MCP
Runs locally on your machine with GMM Local
Finds risky patterns and problems in the product
Enterprise deployment inside your security boundary
Integrates with Claude Code, Cursor, Codex and VS Code
MCP access for agents with 1-10 credits per answer
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
Nearly 3× fewer errors on Benchmark 001 compared to alternatives
8.4K tokens per question instead of 27.4K for competitors
Results published and measurable; method is proprietary
Reduces AI cost per completed agent action from $0.35 to $0.08