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AI Tools

Goose: a local, extensible AI agent for developers

Built by Block (Square/Cash App), Goose is an AI agent that runs on your machine, installs dependencies, edits and tests code with any LLM. Open source and extensible.

Published on May 27, 20265 min readView on GitHub

Not everyone wants to run an AI agent on a third-party cloud. Goose, built by Block (owner of Square and Cash App), is an open-source agent that runs locally and executes dev tasks end to end: installs dependencies, runs shell commands, edits and tests code.

What is Goose?

Goose works as a CLI and desktop app, is model-agnostic (including local models via Ollama) and uses YAML "recipe" files to make agent flows repeatable and shareable. Block reports internal use across much of its engineering.

Key features

  • Runs locally: installs deps, runs shell, edits and tests code
  • Works with any LLM, including local models
  • YAML recipes for repeatable, shareable workflows
  • Full extension support via MCP
  • Apache-2.0, around 50k stars

How Reche uses it

Running agents locally is great for privacy and control, but it needs process so it does not become a mess. Reche helps integrate tools like Goose into your flow with RecheOS quality gates, keeping the speed without giving up quality.

Want to implement this in your product?

Reche's initial diagnosis defines scope, timeline, and budget. Credited to the project if you move forward.