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Domain Intelligence Schema

Terraform for Agentic AI Systems
A declarative framework for modeling and deploying enterprise AI agents
v1.6.0 Documentation

About DIS

The Domain Intelligence Schema (DIS) is a declarative framework for modeling and deploying agentic AI systems in enterprise environments. Think of it as the BNF for business units — a formal grammar (not taxonomy) for composing valid domain models.

DIS captures domain structure (entities, roles, applications), behavioral rules (AgenticTriplets), execution bindings (functions, endpoints), and governance (RBAC, privacy, telemetry) in a vendor-neutral format that compiles to any runtime platform including LangGraph, CrewAI, AWS Bedrock Agents, and Microsoft AutoGen.

The framework enforces exactly 7 atomic modes of interaction (CREATE, READ, UPDATE, DELETE, INITIATE, RESPOND, NOTIFY) that drive proper entity discovery and prevent scope creep while maintaining expressiveness.

Schema Documentation

Additional Resources