Terramate orchestrates Terraform and OpenTofu stacks via DAG with AI Mate inside the CLI.
Terramate models multi-stack Terraform and OpenTofu repositories as a DAG with explicit cross-stack dependencies, then orchestrates plan and apply in correct order. AI Mate sits inside the CLI and Cloud UI: when a stack fails, it reads the error in context and proposes the fix inline. The MCP Server exposes stacks as tools so external AI agents can query and modify infrastructure.
Who it's for. Platform teams of 5 to 30 engineers running complex Terraform or OpenTofu monorepos with cross-stack dependencies. Scenario: 30 stacks share a VPC and DNS layer, a change to the VPC stack needs to propagate to 8 dependents, Terramate's DAG sequences the apply correctly and AI Mate summarizes the full blast radius before execution begins.
Tradeoffs. Terraform and OpenTofu only. The free Community tier excludes AI Mate, which requires Team or Enterprise. The Catalyst framework for custom AI agents is powerful but needs Go or TypeScript engineering effort. Compared to Spacelift, Terramate leans into stack orchestration rather than policy-as-code or audit.
Compare: Spacelift, Terraform Cloud, Terragrunt, env0
