- Local execution keeps repository context private
- CLI control fits technical developer habits
- Extensions support flexible local agent experiments
- Free, open-source Apache 2.0 software
- Choice of local and hosted AI models
- Extensive MCP integration ecosystem
- Desktop and terminal interfaces available
Goose
Goose runs local agentic coding workflows
SF8.34
SF Score editorial score across features, ease, and value, based on public reviews and product research. Learn more →
Local repo automationdeveloper automationAI coding
Local repo automationdeveloper automation
Best for
Local-first developers using agents daily
Pricing
Free
Free plan
Available
SoftFinders Score
8.34 / 10
Overview
What is Goose?
Goose is a local coding agent for developers who want assistance near their files, terminal, and model choices. It runs through desktop and CLI workflows, connects to extensions, and can coordinate coding, research, or automation tasks. Its main strength is local control: teams can test agentic work without moving every step into a hosted editor or managed IDE. Permission review should guide every rollout.
Goose fits engineers who prefer configurable local tooling and accept more setup responsibility. It is less suitable for teams wanting polished enterprise administration, predictable vendor support, or turnkey governance across many seats. Buyers should test model configuration, permission boundaries, repository access, and rollback habits before wider use. The tool rewards disciplined engineering review more than casual prompt experimentation. Buyers should test permissions early locally.
KEY FEATURES
What you get out of the box
Local Agent
Runs coding tasks beside local repositories carefully
Desktop CLI
Combines desktop sessions with terminal workflows consistently
Extension Control
Connects models tools and actions through extensions
File Review
Presents repository edits for developer inspection first
Tool Actions
Executes approved commands with visible context boundaries
Model Flexibility
Lets teams choose providers for controlled experiments
Local Desktop and CLI Agent
Runs tasks through native app or terminal
Multiple AI Model Providers
Supports cloud APIs and local inference options
Scheduled and Headless Automation
Executes recipes through CLI and scheduled tasks
Permission and Security Controls
Offers approval modes, sandboxing, and injection detection
USE CASES
Where teams put it to work
Local repo automation
Private agent trials
Terminal task runs
Model evaluation sessions
Editorial Take
What we like, and what to verify
- Setup requires careful permissions and review
- Local agents need rollback habits first
- Support expectations vary across deployment choices
- Remote providers may receive project context
- Model API usage may incur charges
Screenshots
A look inside
Goose homepage screenshotAlternatives
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USER REVIEWS
Goose Reviews
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Reviews from real users will appear here once published.
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