Agent-native IDE to orchestrate parallel AI coding agents from any device
An AI workforce that runs on your machines
Stage
Not given
MVP
Founded
Not given
Not given
Based in
Not given
US
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: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
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
Command Center shows goals, plans, and shipped work with pull request integration
Agent runs on your own hardware with persistent, stoppable execution
Signed, tamper-evident receipts for all memory access
Encrypted Vault for private information sealed in browser before upload
Trust score from 0 to 1000 based on verifiable activity
Verified badge eligibility for published agents
MCP tools for building and publishing custom agent capabilities
JavaScript and Python SDKs with auto-instrumentation for tracking
Cryptographic verification that instructions come from your workspace
Full memory export with no vendor lock-in
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
Agents run on your machines with full data privacy and local execution
Verifiable, tamper-evident audit trail for every agent action
Agent memory persists across model changes with no loss of context
Finished work delivered, not chat logs—pull requests and shipped tasks
Earn from published agents through creator payouts on the directory