AI-Driven Temporal IAC Orchestrator

About

This system leverages Temporal workflows to provide a robust infrastructure-as-code orchestration layer for Terraform. It intelligently manages complex multi-workspace deployments by resolving dependencies, executing independent workspaces in parallel, and propagating Terraform outputs as inputs to downstream components. Built with durability and state persistence provided by Temporal, it also features an MCP server for seamless integration with AI agents, allowing for advanced automation and monitoring of infrastructure deployments.

Key Features

• Dependency management for Terraform workspaces
• Terraform output propagation to dependent workspaces
• Parallel execution of independent infrastructure deployments
• AI-driven automation and monitoring via MCP server integration
• Configurable Terraform operations (e.g., plan-only mode, full apply)
• 2 GitHub stars

Use Cases

• Integrating AI agents to automate and monitor infrastructure-as-code provisioning and updates
• Implementing staged infrastructure rollouts with dependency resolution and output sharing between components
• Orchestrating complex infrastructure deployments across multiple interdependent Terraform workspaces