goose

name	goose
description	Open-source extensible AI agent for coding tasks - install, execute, edit, and test with any LLM
version	1.0.0
author	Hermes Agent
license	Apache-2.0
platforms	["linux","macos"]
metadata	{"hermes":{"tags":["ai-agent","coding","automation","llm","rust"],"related_skills":["claude-code","codex","opencode"]}}

goose

An extensible, open-source AI agent written in Rust that goes beyond code suggestions to perform actual development workflows.

Prerequisites

• Rust toolchain (for building from source)
• Or pre-built binary from GitHub releases
• API key for preferred LLM provider

Installation

# From source
git clone https://github.com/aaif-goose/goose.git
cd goose
cargo build --release

# Or download pre-built binary from GitHub releases

Usage

Basic Coding Task

# Configure with your preferred LLM
goose configure

# Run a coding task
goose run "refactor the authentication module to use JWT tokens"

Interactive Mode

# Start interactive session
goose chat

# Ask questions about your codebase
> How does the authentication system work?
> Can you add unit tests for the user service?

Batch Processing

# Process multiple tasks
goose batch tasks.txt

Common Pitfalls

1. LLM costs: Complex tasks may consume significant tokens. Monitor usage.
2. Code quality: Always review generated code. AI can introduce subtle bugs.
3. Security: Be cautious with tasks that modify system files or install packages.
4. Context limits: Very large codebases may exceed LLM context windows.

Verification

# Test installation
goose --version

# Run a simple test task
goose run "print the current working directory"