The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
Manage your own team of AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
US
Pricing model
Not given
Free
Pricing
Free: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects.
Not given
Key features
Complete experiment backlog with candidate ideas
Status tracking from idea to outcome
Shared experiment learnings across team and agents
ICE, PIE, RICE scoring frameworks with voting
Enforced experiment stages with mandatory results and learnings
MCP server for AI agent read and write access
Skills that teach agents the methodology
Plugin for Claude Code and Codex
Web app for team review and collaboration
OAuth security with granular permissions
Atlas manager agent that breaks down tasks and delegates to specialists
Ready-made team templates for marketing, research, operations, and more
Agent Marketplace with 20+ built-in specialists
Four control modes from Minimal to Manual for agent autonomy
Support for Claude, OpenAI, Gemini, and GitHub Copilot on one team
Live activity feed, task board, and team inbox with file previews
Agent memory and shared Decision Ledger across sessions
Agent Creator to build custom specialists in plain English
MCP server integration to connect agents to outside services
What makes it different
Agents cannot bypass the method: tests cannot close without measured results and written learnings
Enforced workflow prevents confident guesses and invented wins
Shared memory ensures experiments are never repeated and evidence is preserved
Agents read and write to the same record as teams under identical rules
Data stays in EU on Hetzner servers in Finland
One team can use multiple AI providers simultaneously
Atlas manager agent coordinates specialist agents with real-time task handoffs
Agents maintain memory across sessions with no re-explaining preferences