What Goose is
Goose offers desktop and terminal entry points to an agent connected to a selected model and tools. Its interface runs locally, but that fact alone says nothing about where model processing occurs or what a connected extension can access on another service.
The project originated at Block and now has its canonical repository under the Agentic AI Foundation organization. Its public workshop examples are especially useful because they show both a working prototype and the problems that remained, rather than presenting generated software as automatically ready for users.
Read the official documentationHow it fits into a workflow
Start with a small task in a disposable project, choose a permission mode deliberately, and enable only relevant extensions. Review file changes and verify the resulting behavior. If a workflow uses a hosted model, include the provider route and usage in the evaluation.
Examples described as illustrative or proposed trials are editorial suggestions. Documented real builds, when available, are linked separately below.
Requirements, cost and limitations
Use the supported desktop application for Windows, macOS or Linux, or the command-line interface, then configure a model API account, a supported subscription connection or a local model service. Extensions may need their own accounts and dependencies. The reviewed documentation gives no universal hardware minimum; local inference depends on the model, while hosted inference uses a remote service.
The Apache-2.0 software has no project license fee, but selected models, subscriptions, external tools and local compute determine operating costs. This cost structure was checked on 30 October 2026; no standard per-task bill is established. Autonomous mode is documented as the default and can modify or delete files. Manual approval, smart approval and chat modes provide different controls, with tool classification described as best effort.
Maintenance and version context
2026-10-28: v1.57.0 release documents allowlist, desktop, scheduler, provider and Windows fixes.
When to choose it and what to compare
Goose is a useful desktop option when connecting several tools is part of the task. The AI BriefMe example illustrates rapid prototyping, but also documents security and scaling work that remained. Compare its interface and review process with your actual needs before enabling more autonomy.
Technical details and documented capabilities
These details come from the linked sources, checked 2026-10-30. Open the current documentation before planning a deployment or migration.
- Type
- Community-built agents
- Runs on / through
- macOS, Windows, Linux
- Execution choices
- local, self-hosted
- License or access terms
- Apache-2.0
- Native desktop and terminal interfaces provide multiple entry points.
- Model-provider and extension choices let users assemble a task-specific setup.
See an implemented example.
REAL IMPLEMENTATION / Angie Jones / GooseBuilding a topic-briefing app with GooseFocused source review : Current repository, license, setup, permissions and published implementation evidence; not independently executed. Documentation review, not hands-on product testing.
Sources and evidence
Product facts are based on the following published sources, checked 2026-10-30. Workflow suggestions and comparisons are editorial interpretation; PrisAIm has not independently benchmarked this product.
Canonical repository Apache license AAIF transfer Installation Model-provider access Permission modes Release history