Jack Dorsey, CEO of Block and co-founder of Twitter, has introduced an open-source AI assistant called “Goose,” which is gaining traction among developers. Goose is designed to help automate coding, streamline workflows, and enhance productivity.
By leveraging large language models (LLMs), it assists with software development, data analysis, and content management—making it a flexible tool for developers, businesses, and AI enthusiasts.
What is Goose?
Launched in January 2025, Goose simplifies complex coding tasks by adopting what has come to be known as Vibe coding using large language models (LLMs) to generate code based on natural language descriptions, allowing programmers to create software without writing code manually
It can also assist in areas beyond coding, such as sales analysis and content creation. Goose is positioned as an alternative to proprietary AI assistants, emphasizing open-source collaboration and transparency.
To ensure protecting data privacy, it uses the Anthropic Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where their data resides, including content repositories, business tools, and development environments.
Community Engagement and Growth
Goose is rapidly growing in the open-source community, nearing 10,000 stars on GitHub. For a development that is only 6 weeks old, that’s quite astonishing. Developers are already contributing to its improvement, and proponents say its transparency makes it an attractive option compared to closed AI systems.
Future Prospects
Block plans to enhance Goose by supporting on-device open-source LLMs and integrating multiple AI models. This positions Goose as a key player in the growing field of agentic AI—where AI systems operate autonomously to complete tasks with minimal user input.
Goose’s rise highlights the increasing demand for open, customizable AI solutions, offering developers a flexible tool that doesn’t lock them into proprietary ecosystems.
