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Goose

Goose, a general-purpose AI agent built in Rust and governed by the Agentic AI Foundation at the Linux Foundation, has drawn 45,000+ GitHub stars and 500+ contributors, according to the project's repository listing. Goose runs natively on macOS, Linux, and Windows as a desktop app, CLI, and embeddable API, supports 15+ LLM providers including Anthropic, OpenAI, Google, Ollama, LocalAI, OpenRouter, Azure, and Bedrock, and implements the Agent Client Protocol so it can serve editors such as Zed, JetBrains, and VS Code. The vendor-neutral, self-hostable agent is positioned as an open source alternative for research, writing, data analysis, and browser automation tasks.

read1 min views1 publishedSep 29, 2026
Goose
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Goose is a general-purpose AI agent that runs natively on your machine. It's not narrowly focused on coding: you can use it for research, writing, data analysis, browser automation, or any multi-step task you'd otherwise piece together manually. It ships as a desktop app for macOS, Linux, and Windows, a full CLI for terminal-first workflows, and an API for embedding it in other tools.

The LLM support is broad. Goose works with 15+ providers, including Anthropic, OpenAI, Google, Ollama, LocalAI, OpenRouter, Azure, and Bedrock. You can use API keys or connect through existing Claude, ChatGPT, or Gemini subscriptions, so you're not locked into a new billing relationship just to try it.

Extensibility is central to how goose works:

Goose also implements the Agent Client Protocol, which means it works as an ACP server you can connect from editors like Zed, JetBrains, or VS Code. It can use Codex and similar agents as providers through the same standard.

The project sits under the Agentic AI Foundation at the Linux Foundation, which keeps it vendor-neutral and community-governed. Built in Rust for performance, it has attracted 500+ contributors and 45k+ GitHub stars. If you want a self-hostable, provider-agnostic agent that works across interfaces and integrates deeply with the MCP ecosystem, goose covers a lot of ground.

Every Sunday we deconstruct one proprietary app and pick the best open source alternatives worth switching to.

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