Goose is an open-source, extensible AI agent designed to automate complex engineering tasks, from project inception to execution and debugging. It targets developers seeking an on-machine AI assistant that can autonomously build, write, execute, and test code, interact with APIs, and orchestrate workflows, supporting any Large Language Model (LLM).

How It Works

Goose functions as a local AI agent capable of end-to-end task automation. Its design emphasizes flexibility, allowing it to work with any LLM and integrate with MCP servers. It offers both desktop and CLI interfaces, enabling developers to manage intricate engineering pipelines and prototype ideas efficiently.

Quick Start & Requirements

• Installation: Available as a desktop app and CLI.
• Prerequisites: Works with any LLM.
• Documentation: https://block.github.io/goose/docs/category/getting-started
• Quickstart: https://block.github.io/goose/docs/quickstart

Highlighted Details

• Automates complex development tasks from start to finish.
• Capable of building entire projects, writing and executing code, debugging, and interacting with external APIs autonomously.
• Extensible and adaptable to various engineering workflows.
• Supports integration with MCP servers.

Maintenance & Community

• Community: Discord, YouTube, LinkedIn, Twitter/X, Bluesky, Nostr