goose | Your Open Source AI Agent

goose | Your Open Source AI Agent

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goose is your open source AI agent.

Last Updated Nov 10, 2026
goose | Your Open Source AI Agent screenshot

About

Goose is an open-source AI agent designed to help developers and technical teams get more done in less time. Whether it’s writing code, managing files, or handling system operations, Goose responds quickly to natural language instructions, acting as a smart assistant in your everyday workflow. As a fully open-source project, Goose not only lets users customize and extend its capabilities freely but also ensures data privacy and security, putting the power of AI directly in your hands.

Key Features

Intelligent code generation and debugging: Automatically generates code snippets based on your descriptions and helps identify and fix errors.
File and directory operations: Create, edit, move, and rename files through conversational commands.
System command execution: Safely run terminal commands to automate deployment, testing, and operational workflows.
Multi-language support: Works with popular programming languages including Python, JavaScript, Go, and Rust.
Contextual memory: Understands multi-turn conversation context to continuously refine task execution results.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Open source: goose is free and open source (Apache 2.0) under the Agentic AI Foundation, so the software itself carries no license fee.
  • LLM costs: goose works with 15+ providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Bedrock; you supply your own API keys, or use existing Claude, ChatGPT, or Gemini subscriptions via ACP.
  • Platform availability: Native desktop app for macOS, Linux, and Windows, plus a CLI and an API for embedding goose elsewhere.
  • Free local option: By pairing goose with a local provider such as Ollama, you can run it entirely on your own machine without paying for model API access.

Who It's For

Software developers looking to cut down on repetitive coding tasks and focus on core logic. DevOps engineers who need automated deployment, monitoring, and script generation. Data scientists working on data cleaning and model training scripts. Technical managers evaluating open-source AI tools to boost team productivity. And open-source enthusiasts interested in AI agent technology who want to contribute to the community or build on the project.

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