The organizational layer for agentic AI.
Identity. Policy. Audit. For autonomous AI organizations.
$ npx tervos init --template demo ✓ Created TERVOS.yaml ✓ Created .tervos/ directory $ tervos start --dev ✓ Organization "Demo AI Corp" bootstrapped ✓ Agent ceo activated (did:key:z6Mk...) ✓ Agent analyst activated (did:key:z6Mk...) ✓ Agent writer activated (did:key:z6Mk...) ✓ 2 tasks queued
AI agents can talk to tools (MCP) and to each other (A2A). They can't form organizations.
No standard identity. No policy enforcement. No audit trail. No compliance. Every team building multi-agent systems reinvents this from scratch.
Tervos sits on top of MCP and A2A, adding the organizational layer that neither protocol provides.
TERVOS.yaml is the single source of truth for your autonomous organization.
# TERVOS.yaml — your entire AI org in one file schema: tervos/v1 name: "My AI Company" governance: autonomy_level: semi-autonomous budget: monthly_limit_usd: 5000 agents: ceo: role: "CEO" model: "claude-sonnet-4-20250514" capabilities: [strategy, delegation] budget_monthly_usd: 1000 can_delegate_to: [engineer] engineer: role: "Engineer" reports_to: ceo model: "claude-sonnet-4-20250514" capabilities: [coding, testing] budget_monthly_usd: 2000
Already using Paperclip? Import your existing setup:
$ tervos import --from paperclip ./my-company.json Imported 5 agents, 12 tasks. All agents set to supervised.
Ship AI agents without legal surprises.
NIST AI Agent Standards
Alignment built-in
EU AI Act
Progressive autonomy model
ISO 42001
Audit-ready event logs
Default-deny
Policy enforcement