Directory DevOps & Platform EngineeringInfrastructure as CodeGoose

Goose

About Goose

Goose is a general-purpose AI agent that runs on the user's machine. It can be used for research, writing, automation, data analysis, or other tasks, not just coding. It is available as a native desktop app, a CLI, and an API. It is built in Rust. It connects to extensions via the Model Context Protocol open standard. It works with multiple LLM providers.

Products

Desktop app: A native application for macOS, Linux, and Windows.
CLI: A command-line interface for terminal workflows.
API: An API to embed goose anywhere.
Recipes: Portable YAML configs that capture workflows, including instructions, extensions, parameters, and subrecipes.
MCP Apps: A feature allowing extensions to render interactive UIs, such as buttons, forms, and visualizations, inside goose Desktop.
Subagents: A feature that spawns independent subagents to handle tasks in parallel.

Used for

Conducting research
Writing content
Automating tasks
Analyzing data

From Goose's own website, read 2026-10-23. How we build listings.

How to evaluate Infrastructure as Code

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Goose. It comes from our Infrastructure as Code (IaC) Platforms buyer guide.

25%

Language & Authoring Model

Declarative DSL (HCL) vs. general-purpose language (TypeScript, Python, Go, C#); readability for reviewers vs. expressive power (loops, conditionals, abstractions); module/component reuse and registry maturity; testing and IDE support; learning curve for the people who will actually write infrastructure

20%

State Management & Drift

Where state is stored, remote-state locking to prevent concurrent-apply corruption, state encryption and secret handling, plan/preview fidelity, drift detection and continuous reconciliation, import of existing resources, and blast-radius controls on apply

20%

Policy-as-Code & Governance

OPA/Rego and Sentinel support, pre-apply guardrails (block non-compliant resources, mandatory tags, region/cost limits), RBAC and SSO/SAML/SCIM, audit logging, approval workflows, and integration with cost-estimation and security scanning in the pipeline

15%

Provider Ecosystem & Portability

Breadth and quality of providers/resource coverage, day-one support for new cloud services, multi-cloud and on-prem reach, third-party SaaS providers, and how locked-in the resulting code is to one vendor or one cloud

10%

Collaboration & Workflow (TACOS)

Run orchestration and queuing, VCS/PR-driven plans, stack dependencies, self-service environments with TTL/ephemeral teardown, drift remediation workflows, and whether you self-host in CI (Atlantis-style) or buy a managed platform

10%

Licensing & Project Health

License (open-source MPL/Apache vs. source-available BUSL vs. proprietary), governance and ownership after recent M&A, release cadence and roadmap, community/foundation backing (CNCF, Linux Foundation), and how easily you could exit or fork

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