Taylor Ho e5061bcf30 cleanup: HoverCard bare variant, dedup resize, gate edit state, es locale
1. Added variant='bare' to HoverCardContent — strips all chrome.
   MessageBubble uses it instead of six !important overrides.
2. Removed duplicate height calc from ChatInput handleInput —
   useLayoutEffect([text]) already covers it.
3. Edit state (editText, editTextareaRef, effects) gated on
   role==='user' via canEdit flag.
4. Added edit.hint to Spanish locale.
2026-04-16 13:05:01 -10:00
2026-02-11 14:35:24 +00:00
2026-03-07 17:16:19 +00:00
…

🦆 goose has moved! This project has moved from block/goose to 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

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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

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! 🚀

goose around with us

S
Description
an open-source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Readme Apache-2.0 2 GiB
Languages
Rust 63.6%
TypeScript 29.6%
JavaScript 1.7%
Shell 1.6%
Python 1.5%
Other 1.8%