Jack Dorsey's AI Assistant Goose
A Game-Changer in Open-Source development
Sponsored by Notion AI. The one tool that does it all with ChatGPT-4 & Claude. Search, generate, analyze, and chat—right inside Notion.
In the ever-evolving world of artificial intelligence, Jack Dorsey—co-founder of Twitter and CEO of Block—has introduced a groundbreaking tool that’s making waves: Goose.
Launched in January 2025 by Block, Goose is an open-source AI agent framework designed to democratize AI development and empower creators across industries.
But what exactly is Goose, how does it work, and who stands to benefit from it?
Let’s dive in.
What is Goose?
Goose is not your typical AI project.
It’s a free, open-source framework that simplifies the process of building AI agents—autonomous tools that can perform tasks with minimal human oversight.
Developed under Block’s new Open Source Program Office, Goose integrates seamlessly with major large language models (LLMs) like OpenAI, Anthropic’s Claude, Google’s Gemini, and DeepSeek, giving users flexibility to choose their preferred AI backbone.
Unlike proprietary AI systems that lock users into a single ecosystem, Goose’s open-source nature (released under the Apache 2.0 license) means anyone can audit, modify, and enhance it to suit their needs.
What sets Goose apart is its focus on accessibility and privacy. It can run locally on a user’s machine or in a private cloud, ensuring data stays secure—a major plus for industries like banking and healthcare.
Block describes Goose as “an assistant that’s ready to take your instructions and do the work for you,” and its modular design allows it to connect to tools like GitHub, Google Drive, and Slack via Anthropic’s Model Context Protocol (MCP).
This interoperability makes Goose a versatile player in the AI landscape.
How is Goose Used?
Goose was initially built with developers in mind, tackling the grunt work of software engineering.
It shines in automating repetitive or complex coding tasks, freeing up time for more creative pursuits. Some standout use cases include:
Code Migration: Goose can seamlessly convert projects between frameworks or languages—think Ember to React or Ruby to Kotlin—saving developers hours of manual labor.
Codebase Refactoring: It can restructure code, like shifting from field-based to constructor-based injection in dependency frameworks.
Performance Optimization: Goose can run benchmarks or generate unit tests to boost code quality.
Cross-System Integration: Beyond coding, it can summarize data across platforms (e.g., linking Google Drive with Slack) or even help users recall last week’s activities by pulling from calendars and emails.
But Goose isn’t limited to engineering.
Block envisions broader applications, from creative tasks like music generation to everyday productivity hacks like organizing schedules. Its open-source ethos means the community can expand its capabilities far beyond what Block’s team originally imagined.
Developers have already dubbed its hands-off coding style “vibe coding,” highlighting how Goose can take high-level instructions and run with them autonomously.
Who’s It For?
Goose’s primary audience is developers—especially those tired of tedious tasks or looking to experiment with AI without needing a PhD in machine learning.
Its simplicity lowers the barrier to entry, making it ideal for startups, small businesses, and individual coders who lack the resources of tech giants.
By offering a framework that’s both powerful and customizable, Goose levels the playing field, challenging the dominance of closed-source AI systems from Big Tech.
Beyond developers, Goose appeals to privacy-conscious organizations. Its ability to run on-premises or in private clouds makes it a fit for sectors where data security is non-negotiable.
And as the community grows—evidenced by its trending status on GitHub and buzzing Discord channels—non-technical users are starting to explore it too.
Imagine a small business owner using Goose to automate customer service workflows or a musician tinkering with AI-generated melodies. Dorsey’s vision of “open source everything” invites everyone to the table.
Why Goose Matters
Goose arrives at a pivotal moment.
The AI world is shifting toward open-source solutions, with projects like DeepSeek’s R1 challenging the likes of OpenAI at a fraction of the cost. Dorsey, a long-time advocate for open technology, sees Goose as a catalyst for innovation.
As Block’s CTO Dhanji Prasanna puts it, “Making Goose open-source creates a framework for new heights of invention and growth.”
It’s not just about building better tools—it’s about giving people the freedom to shape AI on their terms.
Of course, open-source comes with challenges. Security risks and fragmented development could arise without clear governance, but the early buzz suggests Goose is striking a chord.
Just weeks after its debut, it’s gaining traction in developer circles, with some predicting it could become a cornerstone of the “agentic AI” revolution—where autonomous agents handle tasks across industries.
The Future of Goose
As of March 17, 2025, Goose is still in its infancy, but its trajectory is promising. With Dorsey’s backing and a growing community, it could redefine how we interact with AI.
Whether you’re a coder looking to streamline your workflow, a business guarding sensitive data, or a creative soul pushing boundaries, Goose offers a glimpse into a more open, flexible AI future.
Jack Dorsey’s bet on Goose isn’t just a tech play—it’s a philosophy: technology thrives when it’s shared.
So, will Goose disrupt the industry?
It’s too early to say for sure, but one thing’s clear: this bird is taking flight, and it’s worth keeping an eye on.