Block's open-source AI agent framework that goes beyond code suggestions—installing, executing, editing, testing, and automating complex workflows with any LLM and extensive MCP integration.
Watch Goose autonomously analyze, migrate, and test the component.
💡 This is a simulated example demonstrating typical Goose capabilities. No actual LLM call is made.
| Core Competency | Code Migration, Enterprise Automation, Privacy-Focused Development, Multi-Tool Workflows, Non-Technical Automation |
|---|---|
| AI Architecture | Model-agnostic: works with any LLM. Supports multi-model configuration and hot-swapping between models mid-conversation. |
| Context Window | Depends on selected model. Designed for large-scale codebase understanding. |
| Deployment | Desktop app for macOS/Windows/Linux, CLI for terminal workflows. Local execution by default. |
| Offline Support | Local-first architecture. Can run fully offline with local models, or connect to cloud APIs as needed. |
| IDE Integration | IDE-agnostic—runs as desktop app or CLI alongside any editor. |
| Company Maturity | 1 years |
| Pricing Model | Freemium - Basic features |
Visual breakdown of this tool's performance across six key evaluation criteria
See how Goose ranks against the top AI coding assistants in our directory
Goose emerged from Block's internal engineering needs and has been validated at scale: 75% of Block engineers report saving 8-10+ hours weekly. What sets Goose apart is its local-first architecture—code never leaves your machine unless you explicitly connect to an external API—making it ideal for privacy-sensitive industries like finance and healthcare. With 4,000 Block employees using it across 15 job profiles (not just engineering), it demonstrates AI agent utility beyond pure coding. The open-source Apache 2.0 license ensures community-driven evolution.
Goose offers solid AI development capabilities with specific technical strengths. Unique offline capabilities make it suitable for security-conscious enterprise environments. Best suited for developers requiring advanced AI assistance in their primary development workflow.
**Experienced developers** working in specialized domains or with specific technical requirements.
Status: Open-source project by Block, Inc. (formerly Square)
Founded: 2025 (Released January 2025)
Backing: Backed by Block, Inc. (NYSE: XYZ), a publicly traded fintech company.
Model-agnostic: works with any LLM. Supports multi-model configuration and hot-swapping between models mid-conversation.
Goose supports IDE-agnostic—runs as desktop app or CLI alongside any editor..
Yes, Goose supports offline mode. Local-first architecture. Can run fully offline with local models, or connect to cloud APIs as needed.
Goose scores 83/100 versus Claude Code's 98/100. Goose excels at Code Migration and Enterprise Automation, while Claude Code is known for Agentic Coding and Complex Refactoring.
Goose is best suited for Code Migration, Enterprise Automation, Privacy-Focused Development, Multi-Tool Workflows, Non-Technical Automation. Large-scale code migrations (Ember to React, Ruby to Kotlin)—Goose rewrote 70% of a platform's code
Depends on selected model. Designed for large-scale codebase understanding.
Primary references: blog, docs, release notes, API, and status pages.
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