Goose is an on‑machine, open source AI agent that automates tasks and boosts productivity, especially for engineering workflows. It runs as a desktop app or CLI and can use your preferred large language model (LLM).

What are Goose “recipes”?

Recipes are predefined automations or workflows—such as code refactoring or feature‑flag removal—that Goose can execute autonomously to complete complex, multi‑step tasks.

How does Goose integrate with other tools and applications?

Goose uses extensions built on the Model Context Protocol (MCP) to connect with tools like GitHub, Google Drive, and JetBrains IDEs, and you can create custom extensions for other apps.

Is Goose limited to software engineering tasks?

No. While Goose focuses first on engineering productivity, its extensible architecture enables use beyond coding, and the community continues to explore broader applications.

How does Goose help with codebase maintenance?

Goose automates tedious, repetitive maintenance that requires code understanding—for example, identifying and removing obsolete feature flags with recipes like Goose Janitor—to keep code clean and improve velocity.

How does Goose ensure safe and secure code modifications?

.gooseignore lets you block files or directories from access or modification, and allowlists restrict Goose from calling unsafe or untrusted tools.

Can I control which language model Goose uses?

Yes. Goose supports a wide range of local and remote LLM providers so you can configure or swap models to fit your needs.

What platforms and interfaces does Goose support?

Goose runs as both a desktop interface and a command‑line interface (CLI), sharing the same configurations and recipes across environments.

How does Goose handle errors during task execution?

It captures errors—like malformed inputs or missing tools—and sends them back to the model so it can attempt fixes and keep the workflow moving.

Is Goose free and open source?

Yes. Goose is fully open source, enabling the community to inspect, contribute, and extend its capabilities.

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codename goose

Name: codename goose
Brand: codename goose
Availability: InStock
Rating: 5 (1 reviews)
Author: codename goose

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Last updated: September 21, 2025

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What is codename goose?

Goose is an on‑machine, open source AI agent that automates complex engineering and everyday workflows with extension‑based integrations, flexible LLM support, and recipe‑driven, step‑by‑step execution. Run Goose as a desktop app or via CLI, connect it to tools like GitHub, Google Drive, and JetBrains through MCP extensions, and let it safely plan and perform multi‑step tasks—such as code refactoring and feature‑flag cleanup—with robust error handling, memory management, and configurable autonomy.

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codename goose's Top Features

Extension‑based integrations via MCP (GitHub, Google Drive, JetBrains IDEs) with support for custom extensions

Flexible LLM support with configurable local and remote providers

Desktop app and CLI interfaces sharing the same configurations and recipes

Autonomous task execution with Auto, Approve, and Chat modes

Step‑by‑step task planning with review, pause, and adjustment controls

Natural‑language interaction that understands informal prompts and slang

Concurrent task handling with multiple agent instances in the UI

Robust error handling that surfaces issues to the model for automated fixes

Memory and context management to retain important information over long sessions

Open source and community‑driven development and exploration

Safety controls including .gooseignore for file access limits and allowlists for tool usage

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