Goose
Open-source, extensible AI agent that goes beyond code suggestions to install, execute, edit, and test with any LLM, available as a desktop app, CLI, and API with 70+ MCP extensions.
Open the source and read safety notes before installing.
Safety notes
- Goose installs, executes, edits, and tests code and runs commands locally, so it can change files and system state on your machine.
- It connects to 70+ MCP extensions; each extension adds capabilities and its own integration risk, so enable only those you trust.
- Review actions and generated code before allowing changes to important repositories or systems.
- Because it works across 15+ providers, confirm which provider and model a session uses before sending sensitive context.
Privacy notes
- Your code and prompts are sent to whichever LLM provider you configure; data handling follows that provider's policies.
- API keys and provider credentials should be stored securely and never committed to source control.
- MCP extensions can access local files and external services depending on their scope; review what each extension can reach.
Prerequisites
- An LLM provider API key, or an existing Claude, ChatGPT, or Gemini subscription via an ACP provider.
- macOS, Linux, or Windows for the desktop app or CLI.
- MCP-compatible extensions if you want to expand Goose beyond its built-in tools.
Schema details
- Install type
- copy
- Troubleshooting
- No
- Scope
- Source repo
- Website
- https://goose-docs.ai
- Pricing
- open-source
- Disclosure
- editorial
- Application category
- DeveloperApplication
- Operating system
- macOS, Windows, Linux
Full copyable content
## Overview
Goose is an open-source, extensible AI agent that goes beyond code suggestions —
it installs, executes, edits, and tests with any LLM. It runs as a native
desktop app, a CLI, and an API, and is used for research, writing, automation,
data analysis, and code tasks.
It is released under the Apache-2.0 license and is primarily Rust. The project
moved from `block/goose` to the Agentic AI Foundation (AAIF) at the Linux
Foundation, and its current home is `aaif-goose/goose`.
## Features
- Works as a desktop app, CLI, and API.
- Provider flexibility across 15+ providers including Anthropic, OpenAI, Google,
Ollama, OpenRouter, Azure, and Bedrock.
- Connects to 70+ extensions via the Model Context Protocol (MCP).
- ACP integration to use existing Claude, ChatGPT, or Gemini subscriptions.
- General-purpose automation beyond code generation.
## Use Cases
- Run a local AI agent that can execute and test changes, not just suggest them.
- Use your preferred provider or an existing subscription via ACP.
- Extend the agent with MCP extensions for tools and data sources.
- Automate research, writing, and data tasks alongside coding.
## Installation
Install the desktop app or CLI from the official installation guide at
[goose-docs.ai](https://goose-docs.ai/docs/getting-started/installation). Choose
your platform build and configure an LLM provider before first use.
## Disclosure
Editorial listing. No paid placement or affiliate relationship. Goose is open
source under Apache-2.0 and hosted by the Agentic AI Foundation; using it
requires your own LLM provider access.About this resource
Overview
Goose is an open-source, extensible AI agent that goes beyond code suggestions — it installs, executes, edits, and tests with any LLM. It runs as a native desktop app, a CLI, and an API, and is used for research, writing, automation, data analysis, and code tasks.
It is released under the Apache-2.0 license and is primarily Rust. The project
moved from block/goose to the Agentic AI Foundation (AAIF) at the Linux
Foundation, and its current home is aaif-goose/goose.
Features
- Works as a desktop app, CLI, and API.
- Provider flexibility across 15+ providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Bedrock.
- Connects to 70+ extensions via the Model Context Protocol (MCP).
- ACP integration to use existing Claude, ChatGPT, or Gemini subscriptions.
- General-purpose automation beyond code generation.
Use Cases
- Run a local AI agent that can execute and test changes, not just suggest them.
- Use your preferred provider or an existing subscription via ACP.
- Extend the agent with MCP extensions for tools and data sources.
- Automate research, writing, and data tasks alongside coding.
Installation
Install the desktop app or CLI from the official installation guide at goose-docs.ai. Choose your platform build and configure an LLM provider before first use.
Disclosure
Editorial listing. No paid placement or affiliate relationship. Goose is open source under Apache-2.0 and hosted by the Agentic AI Foundation; using it requires your own LLM provider access.
Source citations
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