Goose has no machine-readable schema for config.yaml and config keys were accessed via untyped string literals across the codebase. This adds a JSON Schema for IDE autocomplete and validation, with GooseConfigSchema as the authoritative registry for user-facing config keys. Typed accessors replace raw string-key reads across user-facing config call sites while compile-time assertions keep accessor declarations tied to schema membership. Raw get_param and set_param remain available for dynamic and internal config storage. Signed-off-by: Will Pfleger <wpfleger@block.xyz>
🦆 goose has moved! This project has moved from
block/gooseto the Agentic AI Foundation (AAIF) at the Linux Foundation. Some links and references are still being updated — please bear with us during the transition.
goose
your native open source AI agent — desktop app, CLI, and API — for code, workflows, and everything in between
goose is a general-purpose AI agent that runs on your machine. Not just for code — use it for research, writing, automation, data analysis, or anything you need to get done.
A native desktop app for macOS, Linux, and Windows. A full CLI for terminal workflows. An API to embed it anywhere. Built in Rust for performance and portability.
goose works with 15+ providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock, and more. Use API keys or your existing Claude, ChatGPT, or Gemini subscriptions via ACP. Connect to 70+ extensions via the Model Context Protocol open standard.
goose is part of the Agentic AI Foundation (AAIF) at the Linux Foundation.
Get started
Download the desktop app for macOS, Linux, and Windows.
Or install the CLI:
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash
Quick links
- Quickstart
- Installation
- Tutorials
- Documentation
- Governance
- Custom Distributions — build your own goose distro with preconfigured providers, extensions, and branding
Need help?
a little goose humor 🪿
Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀