goose: Your Native Open Source AI Agent for Code and Workflows
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Summary
goose is an open source, extensible AI agent designed to run natively on your machine, offering capabilities beyond simple code suggestions. It supports installation, execution, editing, and testing with a wide range of Large Language Models. Built in Rust, goose provides a desktop app, CLI, and API, making it a versatile tool for various tasks from coding to data analysis.
Repository Information
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Introduction
goose is a powerful, open source AI agent developed by the Agentic AI Foundation (AAIF) at the Linux Foundation. Designed to run natively on your machine, goose extends beyond typical code suggestions, empowering users to install, execute, edit, and test with any Large Language Model. It's built in Rust for optimal performance and portability, offering a desktop application, a command-line interface (CLI), and an API for seamless integration into various workflows.
Installation
Getting started with goose is straightforward. You can download the native desktop app for macOS, Linux, and Windows, or install the CLI for terminal-based workflows.
Desktop App:
Download the desktop app
CLI:
Open your terminal and run the following command:
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash
Examples
goose is a general-purpose AI agent, making it suitable for a wide array of tasks. Beyond code, it can assist with research, writing, automation, and data analysis. Its flexibility allows developers and power users to leverage AI capabilities directly on their local machines for diverse projects.
Why Use goose
Choosing goose means opting for a highly extensible and performant AI agent. It integrates with over 15 providers, including Anthropic, OpenAI, Google, and Ollama, and connects to more than 70 extensions via the Model Context Protocol (MCP) open standard. Its native execution, robust Rust foundation, and comprehensive tooling (desktop, CLI, API) provide a powerful and adaptable platform for advanced AI-driven workflows.
Links
For more detailed information and to explore goose further, refer to these official resources:
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