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Digger

Open-source IaC orchestration that runs Terraform plans and applies from pull request comments

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Digger is an open-source infrastructure-as-code orchestration tool for running Terraform and OpenTofu plan/apply workflows from pull request comments. It uses the team’s existing VCS and CI runners instead of adding a separate runner fleet, supports GitHub, GitLab, and Azure DevOps style workflows, and stores PR-level locks and plan cache in the user’s cloud account.

Digger brings Terraform and OpenTofu changes into the pull request loop. Developers ask for plan and apply operations through PR comments, while the orchestrator triggers jobs in the existing CI environment. That makes it a lighter-weight alternative for teams that want Atlantis-style infrastructure automation without moving state, secrets, or runner execution into a fully managed IaC platform.

The project is built around VCS and CI portability: the README calls out GitHub, GitLab, Azure Repos, GitHub Actions, GitLab CI, and Azure DevOps, while the docs cover plan previews, supported commands, PR-level locks, private runners, caching, and self-hosting. This is useful for platform teams that already standardized on internal CI but still need consistent Terraform review, approval, and apply mechanics across repositories.

Digger is Apache-2.0 licensed and self-hostable. A write-time README check also found a telemetry section that says no sensitive or personally identifiable data is logged and points to the usage-tracking code; for aicoolies this is recorded as a telemetry concern rather than hidden. Position Digger as an open-source IaC automation layer, not as Dagger or as a generic CI runtime.

Pricing

Free open-source Apache-2.0 project; commercial/support motion is separate from the self-hosted core

Platforms

Self-hosted orchestrator using existing GitHub, GitLab, Azure DevOps, and CI runners; Terraform/OpenTofu workflows

Categories

CI/CD ToolsDevOps & Deployment

Tags

Open SourceInfrastructure as CodeGitHubCI/CDGitOpsPull Request Automation

Use Cases

DevOps AutomationSelf-Hosted Deployment

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