Reviewed by Harsh Desai · Last reviewed:
Goose
Executes full code workflows locally with any LLM
Best for
What Goose does:
- •Autonomous task execution installs dependencies, edits files, runs tests, and opens PRs without manual steps.
- •Works with any LLM connect Claude, GPT-4o, Gemini, or local models like Ollama and LM Studio via any OpenAI-compatible endpoint.
- •3,000+ MCP integrations GitHub, Slack, Jira, Docker, and IDEs included. Goose auto-scans every extension for known malware before activation.
- •CLI and Desktop interface full CLI for power users plus a GUI desktop app on macOS, Linux, and Windows for easier onboarding.
- •Fully local execution all processing stays on your machine. No cloud dependency when you run local LLMs.
- •Block Inc. engineering credibility built and used daily by engineers behind Square and Cash App. 38,405 GitHub stars and 3,728 forks.
Pricing:
Goose core is free forever under the Apache-2.0 open source license -- no subscriptions, tiers, or usage caps.
LLM provider costs apply separately: cloud models like Claude or GPT-4o run roughly $10-50/month depending on usage. Local Ollama models cost $0.
Limitations:
- •Setup requires more technical effort than Cursor or GitHub Copilot.
- •Output quality depends entirely on which LLM you configure.
- •No built-in model hosting -- you manage your own LLM environment.
- •Extension discovery across 3,000+ MCP tools takes time to explore.
Our Verdict
Goose stands out for developers craving real ownership over their AI coding workflow.
It handles complete workflows -- installing dependencies, debugging, writing tests, opening PRs -- all running locally on macOS, Linux, or Windows. Unlike Cursor's polished editor, Goose is a full execution agent that reads your codebase and acts on it end-to-end without requiring manual hand-holding.
With 38,405 GitHub stars, 3,728 forks, and daily use at Block (the company behind Square and Cash App), the validation runs deep. Block's own engineering teams built it to handle complex, cross-file changes that autocomplete tools can't touch. Pair it with Ollama for $0 total cost or Claude for professional power, extensible via 3,000+ MCP integrations like GitHub, Slack, and Docker.
Vibe builders get a desktop GUI entry point and built-in tutorials, but expect to invest time in the CLI to reach peak performance.
Free forever under Apache-2.0, it saves $200/mo over Claude Code while auto-scanning every extension for malware before activation.
Pick Goose if repeatable, team-owned automations matter more than plug-and-play polish.
Also Useful For
Frequently Asked Questions
How does Goose differ from Cursor or Claude Code?
Goose runs entirely locally for free, executes full tasks like editing and deploying, and works with any LLM. Cursor offers polished cloud editing; Claude Code charges $200/mo for fixed-model autonomy. Goose prioritizes extensibility and team ownership, saving $200/mo while matching Claude Code's capabilities through your chosen model.
What are the installation options for Goose on Windows/Linux/macOS?
macOS uses desktop GUI, Homebrew, or curl CLI script. Linux supports DEB (Ubuntu/Debian), RPM (RHEL/Fedora), Flatpak. Windows has dedicated installer. All methods install CLI and core agent in minutes, with v1.29.1 (April 2026) adding stability.
Which LLMs can Goose connect to, and how?
Goose integrates any LLM via OpenAI-compatible endpoints. Cloud options: Claude (Anthropic), GPT (OpenAI), Gemini (Google). Local: Ollama, LM Studio, Ramalama, Docker runners. Configure your preferred provider in settings to use built-in extensions like Developer or Computer Controller.
Is Goose completely free, and what are the real costs?
Goose core stays free forever under Apache-2.0 -- no subscriptions or tiers. Real costs come from LLM APIs ($10-50/mo for cloud like Claude/GPT) or $0 with local models (Ollama). Positions as $200/mo Claude Code alternative, plus Block grants for contributors.
How secure are Goose's 3,000+ MCP extensions?
Goose auto-scans all MCP extensions for known malware before activation. Built-in security checks 3,000+ integrations (GitHub, Slack, Jira, Docker, IDEs). Local execution keeps data on-machine, with transparent Rust codebase and community oversight via 38K-star GitHub repo.
What is Goose?
Goose is Executes full code workflows locally with any LLM.
Who should use Goose?
Goose is built for vibe builders who want AI to handle the technical work and developers looking to accelerate their workflow. Common use cases include Automated multi-file code editing, Autonomous test execution and debugging, Local AI development without cloud dependency, CI/CD workflow automation via MCP integrations, Building repeatable coding recipes for teams.
What are the best alternatives to Goose?
Popular alternatives to Goose include Cursor, Claude Code. Compare features and pricing in our Coding directory to compare options.
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Goose
Free tier available