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Goose - AI Agent Frameworks Tool

Overview

Goose is an on-machine, extensible AI agent for automating development tasks end-to-end (install, execute, edit, test) using any LLM. The project is hosted on GitHub (https://github.com/block/goose) and targets local developer workflows that require automation and integration with custom LLM backends.

Key Features

  • Runs on the local machine (on-machine agent)
  • Extensible architecture for custom automation workflows
  • Automates install, execute, edit, and test cycles
  • Integrates with any LLM backend
  • Designed for end-to-end developer task automation

Ideal Use Cases

  • Automating project setup and installation tasks
  • Running tests and applying automated fixes
  • Making code edits guided by an LLM
  • Prototyping and iterating developer automation workflows

Getting Started

  • Clone the repository from GitHub
  • Read repository README and instructions
  • Install project dependencies as documented
  • Configure your preferred LLM backend or local model
  • Run the agent against a target project or task
  • Review generated changes and iterate

Pricing

No pricing information provided in the tool metadata. Consult the GitHub repository for license, deployment, or commercial details.

Limitations

  • Requires local compute and an LLM backend; model costs are separate
  • Repository may require manual setup and developer configuration

Key Information

  • Category: Agent Frameworks
  • Type: AI Agent Frameworks Tool
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