Goose is an open-source, on-machine AI agent designed to automate engineering tasks. It operates locally, offering privacy and offline access.
Goose acts as an assistant, taking instructions and performing tasks. It’s flexible and integrates with existing tools via extensions. These extensions, built using the Model Context Protocol (MCP), connect to tools like GitHub, Google Drive, and JetBrains IDEs.
Goose works with various large language models (LLMs) and offers both a desktop application and a command-line interface (CLI). It’s presented as an intelligent, autonomous agent.
Goose focuses on engineering tasks such as code migration, project onboarding, code refactoring, performance testing, code quality analysis, API development, infrastructure management, feature management, and automated testing.
Users can get started with the “Quickstart” guide. Community involvement is encouraged.
Goose is positioned as a potentially transformative tool, initially focused on software engineering. Its strengths include its open-source nature, LLM flexibility, and integration capabilities. The emphasis on community suggests ongoing growth. Exploring the provided links is recommended for more information, including details on the MCP and community contributions.