The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
Open protocol for AI agent identity, DNS-anchored and post-quantum native, governed by a nonprofit
Stage
Not given
Startup
Founded
Not given
2026
Based in
US
MX
Pricing model
Not given
Open source
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.
Free to use. L0 credentials issued today. L1 enabled in agent.bar demonstration. L2 and L3 specified but not yet issued.
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
W3C Verifiable Credentials (AID format)
Four trust levels (L0-L3) with progressive verification
DNS anchoring starting at L1
ML-DSA-65 + Ed25519 composite signatures
ARIA AP for signed requests and receipts
Append-only Trust Ledger with credential lifecycle events
Revocation capability with signed status lists
Public REST API verification endpoint
TypeScript SDK for credential verification
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
Post-quantum native from launch, not a migration plan
Governed by nonprofit to prevent capture
Complements existing protocols without replacing them