Skip to content

Tervos Protocol

Identity, policy enforcement, and a full audit trail for your AI agents.

Tervos Protocol defines the organizational layer for agentic AI. It sits above agent communication protocols (MCP, A2A) and below application-level agent frameworks, providing the missing infrastructure for agent-driven organizations.

What it gives you:

  • Identity — every agent gets a cryptographic DID, not a string label
  • Policy enforcement — every action passes through Cedar policy evaluation before executing; default-deny
  • Audit trail — every state change is an immutable event in an append-only log
  • Progressive autonomy — agents start supervised and earn autonomy through explicit policy grants
Terminal window
npx tervos init --template demo
tervos start --dev
tervos audit

Three agents, 20+ events, full lifecycle — in under 5 minutes. See the Quickstart for a walkthrough.