Goose
Welcome to Goose.
Goose is the open-source, local-first AI agent from Block (Square/Jack Dorsey’s company). It launched January 28th 2025. Designed to be flexible and easy to extend, Goose integrates seamlessly with tools and agent loops—including the Ralph Wiggum Loop, where the agent continuously thinks and acts in an intentionally unconventional way. Powerful, adaptable, and just a little unexpected. Goose’s Ralph Loop is frequently called out as top-tier in 2026 discussions — especially for production-ish work where you want fewer hallucinations and better self-correction.
ABOUT
The Goose coin is governed and shaped by its community, with contributors guiding its direction, use cases, and growth. As the Goose AI agent evolves—capable of running autonomous behaviors like the Ralph Wiggum Loop—the Goose Coin serves as a shared layer for coordination, ownership, and experimentation across the ecosystem.
At its core, Goose Coin exists to empower the community behind Goose, blending decentralized participation with open-source AI innovation.
Why use Goose?
Is Goose the Best for the Ralph Wiggum Technique/Loop?
Yes — one of the strongest implementations right now, especially if you value quality, fresh context, and reduced errors over raw simplicity.
Goose is an autonomous AI agent, not just a chat tool. You give it a goal, and it:
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Breaks it into steps
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Uses tools (code, files, APIs, tests)
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Executes tasks end-to-end
This makes it far more powerful than prompt-only AI tools.
Perfect for a Ralph Loop
A Ralph Loop (plan → act → evaluate → repeat) needs an agent that can:
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Run steps repeatedly
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Learn from results
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Continue without constant human input
Goose is built for iterative, self-driven loops, which is why it stands out here.
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