goose

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Goose is a local, extensible AI client designed to automate complex engineering tasks beyond simple code suggestions. It enables developers to install, execute, edit, and test code autonomously using any large language model (LLM). Goose can build entire projects from scratch, debug code, orchestrate workflows, and interact with external APIs, making it a powerful tool for prototyping, development automation, and continuous integration. Its open source nature and extensibility allow seamless integration into diverse development environments, enhancing productivity and reducing manual effort.

Use This MCP client To

Automate full project creation and setup Execute and test code autonomously Debug and fix code errors automatically Orchestrate multi-step development workflows Integrate with external APIs for extended functionality Prototype software ideas rapidly Enhance CI/CD pipelines with AI automation

README

codename goose

a local, extensible, open source AI agent that automates engineering tasks

goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.

Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.

Designed for maximum flexibility, goose works with any LLM, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.

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goose FAQ

How do I install Goose on my local machine?

Goose can be installed by cloning its GitHub repository and following the setup instructions provided in the README. It supports common platforms and requires Python and standard dependencies.

Can Goose work with any large language model?

Yes, Goose is designed to be LLM-agnostic and can integrate with models like OpenAI's GPT, Anthropic's Claude, and Google Gemini.

Is Goose capable of running code autonomously?

Yes, Goose can write, execute, and test code autonomously, enabling end-to-end automation of development tasks.

How extensible is Goose for custom workflows?

Goose is highly extensible, allowing developers to add custom modules, integrate new APIs, and tailor automation workflows to specific project needs.

Does Goose support debugging and error fixing?

Yes, Goose can detect code failures, debug issues, and attempt fixes automatically during its execution cycles.

Is Goose suitable for production environments?

Goose is primarily designed for development automation and prototyping but can be integrated into production CI/CD pipelines with proper configuration.

How does Goose handle security when executing code?

Goose runs locally on your machine, giving you full control over code execution and environment security, minimizing risks associated with remote execution.

Where can I get support or contribute to Goose?

You can join the Goose Discord community for support and contribute via its GitHub repository, which is open source under the Apache 2.0 license.