What do you want to do?
3 use cases
-
Install the Goose CLI and hand it a real task
Install Goose from the terminal, connect a provider and let it work on code or a workflow.
View prompt
Install aaif-goose/goose CLI, configure it with <provider>, and in <project> have it <task>. Show me each command it runs and the final diff.
-
Use Goose with your existing Claude, ChatGPT or Gemini subscription
Connect Goose to a subscription you already pay for through ACP instead of buying API credits.
View prompt
Help me connect aaif-goose/goose to my <Claude, ChatGPT or Gemini> subscription using ACP following the docs, then run a small research task to confirm it works.
-
Extend Goose with MCP extensions for research and automation
Add extensions from the 70+ available through the Model Context Protocol to let Goose use more tools.
- REPO
aaif-goose/goose - Personal productivity
- Intermediate
View prompt
Add the MCP extensions to aaif-goose/goose that I need for <research or automation task>, configure them, and run the task end to end, listing which extension did what.
- REPO
Quick start with Goose
- Check you have what it needs: macOS, Linux or Windows; An LLM provider API key, a local Ollama model, or an existing subscription via ACP.
- Open aaif-goose/goose on GitHub and read the README and license.
- Install the CLI with
curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash - Follow the Quickstart to configure a provider such as Anthropic, OpenAI or Ollama
- Start a session in your project folder
- Describe a task such as writing a script or migrating code
These steps come from our top use case, Install the Goose CLI and hand it a real task, which also has a copy-paste agent prompt.
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About this repo
- Who it is forDevelopers and knowledge workers who want one local agent for code, research, writing and automation with the model provider of their choice.
- Why it is hot56k stars, picked up by one AI source we track
- LanguageRust
- Sourcegithub.com/aaif-goose/goose · Back to Hot repos
Requirements
- macOS, Linux or Windows
- An LLM provider API key, a local Ollama model, or an existing subscription via ACP
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Questions about Goose
What is Goose?
goose is a general-purpose, open-source AI agent that runs on your machine as a desktop app for macOS, Linux and Windows, a CLI and an API. It is built in Rust, works with 15+ providers including Anthropic, OpenAI, Google, Ollama and OpenRouter (or your existing Claude, ChatGPT or Gemini subscriptions via ACP), connects to 70+ extensions through the Model Context Protocol, and is part of the Agentic AI Foundation at the Linux Foundation. It is an open-source project on GitHub: https://github.com/aaif-goose/goose.
How do I use Goose?
Install the CLI with curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash; then follow the Quickstart to configure a provider such as Anthropic, OpenAI or Ollama; start a session in your project folder. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Goose for?
Developers and knowledge workers who want one local agent for code, research, writing and automation with the model provider of their choice.
What can I do with Goose?
3 use cases so far, for example: Install the Goose CLI and hand it a real task; Use Goose with your existing Claude, ChatGPT or Gemini subscription; Extend Goose with MCP extensions for research and automation. Each has steps and a copy-paste agent prompt.
What do I need to run Goose?
macOS, Linux or Windows; An LLM provider API key, a local Ollama model, or an existing subscription via ACP.
What are alternatives to Goose?
Other hot AI repos in Personal productivity: Cleanyourtv, Linkit, Imark, SpaceO, Remove Mac AI.
Is Goose safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.