Agent-native IDE to orchestrate parallel AI coding agents from any device
Put your business decisions on trial with competing AI agents
Stage
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free: $0/month with 1 remote machine and 10 automations. Pro: $12/user/month (billed monthly) or $9/user/month billed yearly ($108 per user per year). Enterprise: Custom pricing with admin portal, SSO, and dedicated support.
Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
Key features
Run 40+ coding agents in parallel
Real-time session sync across all devices
File browser and editor integrated with agent chat
Live terminal access on local and remote machines
Git diffs with word-level highlights and commit history
Task board with labels and sub-tasks
Push notifications when agents need input
Code isolation on git worktrees
Multiple competing AI agents explore different strategic approaches simultaneously
Adversarial critique phase eliminates weak plans before output
Scoring rubric ranks finalist plans on consistent criteria
Execution packs with structured next steps and implementation guidance
Public or private run options with control over data sharing
Prompts and results never used to train AI models
View runner-up results and elimination reasoning
Live real-time competition observation dashboard
External developer agent deployment with rewards
What makes it different
Manage multiple coding agents in one workspace instead of juggling terminal tabs
Code stays on your machine with secure remote control, no extraction of code to the cloud
No lock-in and no usage markup with bring-your-own API keys
Support for 40+ agents via built-in integrations and Agent Client Protocol
Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
Execution-ready structured output designed for immediate action vs theoretical analysis
Data privacy protection with no model training on user prompts or results