
Native, open-source AI agent.
Free
goose is a versatile, open-source AI agent designed to run locally on your machine. It offers a desktop app, CLI, and API, enabling users to integrate AI into diverse workflows. Unlike many cloud-based solutions, goose prioritizes local execution, enhancing privacy and control. Built in Rust, it boasts high performance and portability across macOS, Linux, and Windows. goose stands out through its extensibility, supporting over 70 extensions via the Model Context Protocol (MCP) standard, allowing integration with databases, APIs, and more. This makes it ideal for developers, researchers, and anyone seeking to automate tasks or leverage AI capabilities directly on their hardware.
goose operates locally, ensuring data privacy and control. Unlike cloud-based AI services, all processing occurs on your machine. This architecture reduces latency, eliminates reliance on internet connectivity, and provides a secure environment for sensitive data. This is particularly beneficial for users concerned about data security and compliance.
goose provides multiple access points: a native desktop app, a full-featured CLI, and a flexible API. The desktop app offers a user-friendly interface for beginners. The CLI allows for automation and scripting, ideal for developers. The API enables seamless integration into existing applications and workflows, supporting diverse use cases.
goose utilizes the Model Context Protocol (MCP) for extensibility. This open standard allows users to connect to 70+ extensions. These extensions include databases, APIs, browsers, and more. MCP simplifies the integration of various tools and services, enabling users to customize goose to meet their specific needs and workflows.
goose is built using Rust, a systems programming language known for its performance and memory safety. This results in a fast and efficient AI agent that minimizes resource consumption. Rust's performance benefits are especially noticeable in the CLI and API, where speed is critical for responsiveness and scalability.
goose is open-source, licensed under Apache 2.0, allowing users to inspect, modify, and distribute the software freely. This promotes community contributions and customization. Users can create custom skills and extensions, tailoring goose to their unique requirements and contributing to the open-source ecosystem.
brew install goose (macOS) or by downloading the binary from the releases page.,3. Explore the available extensions by browsing the MCP extensions marketplace or the documentation.,4. Configure your preferred LLM provider (Anthropic, OpenAI, etc.) by setting up API keys in the goose settings or environment variables.,5. Use the CLI to create and manage AI workflows, or utilize the API to integrate goose into your applications.,6. Experiment with community-built skills or create your own custom skills to extend goose's functionality.Developers can use goose to automate code generation tasks. By providing prompts or specifications, goose can generate code snippets, entire functions, or even complete applications. This accelerates the development process, reduces boilerplate code, and improves overall productivity. For example, generating Python code for data analysis.
Researchers can leverage goose to gather and analyze information from various sources. By connecting to APIs, databases, and web browsers, goose can automate the process of collecting data, summarizing findings, and generating reports. This streamlines the research workflow and saves valuable time.
Users can automate complex workflows using goose. By integrating with various tools and services, goose can automate tasks such as data processing, report generation, and email management. This reduces manual effort, minimizes errors, and improves overall efficiency. For example, automating social media posting.
Data analysts can use goose to analyze and visualize data. By connecting to databases and data sources, goose can perform data cleaning, transformation, and analysis tasks. It can also generate visualizations and reports, providing valuable insights. For example, analyzing sales data and generating a sales performance report.
Developers benefit from goose's ability to automate coding tasks, generate code snippets, and integrate with various development tools. This boosts productivity, reduces development time, and allows developers to focus on more complex aspects of their projects.
Researchers can use goose to automate data collection, analysis, and report generation. This streamlines the research process, saves time, and enables researchers to focus on interpreting findings and drawing conclusions.
Data scientists can leverage goose for data cleaning, transformation, and analysis. Its ability to connect to databases and generate visualizations helps data scientists gain insights from data and communicate their findings effectively.
Individuals interested in automating tasks and workflows can use goose to streamline their daily routines. Its CLI and API capabilities allow users to automate various tasks, from data processing to report generation, saving time and improving efficiency.
Open source, Apache 2.0 License. Free to use with no subscription costs. Users pay for their LLM provider usage (e.g., OpenAI, Anthropic).