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TL;DR - Goose
- AI agent that runs in your terminal
- Execute complex coding tasks
- Works with your local files
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
Pros
- Completely free and open source
- True autonomous execution
- Works with any LLM provider
- Both desktop and CLI versions
- Runs entirely locally
- Strong enterprise backing (Block)
- Active community (359 contributors)
- Offline-capable
Cons
- Requires own API keys
- Newer project
- Less documentation than Claude Code
- Autonomous mode requires trust
- Learning curve for configuration
Preview
Key Features
Fully open source (Apache 2.0)Autonomous task executionMulti-LLM supportDesktop and CLI interfacesMCP server integrationBuilds projects from scratchCode execution and debuggingWorkflow orchestrationExternal API interactionLocal-first architectureCost/performance optimizationActive Block development359+ contributors
Pricing Plans
Open Source
Free
- Full source code access
- Apache License 2.0 license
- Community support
- Self-hosted
About Goose
By Toolradar Team·
Goose is an open source, locally-run AI agent that automates engineering tasks. Developed by Block (formerly Square), Goose operates autonomously to complete development tasks end-to-end rather than just providing suggestions. It can build projects from scratch, write and execute code, debug failures, and orchestrate complex workflows. With support for any LLM and multiple model configurations, Goose offers flexibility for cost and performance optimization. Available as both desktop app and CLI, with MCP integration for extensibility.
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Goose FAQ
Is Goose free?
Yes, Goose is completely free and open source under the Apache 2.0 license. You only pay for the LLM API calls to your chosen provider (OpenAI, Anthropic, local models, etc.).
Who makes Goose?
Goose is developed and maintained by Block (formerly Square), a financial technology company. It has 359+ contributors and an active open source community.
How is Goose different from Claude Code?
Goose focuses on autonomous task execution - it completes entire workflows end-to-end rather than just suggesting code. It works with any LLM provider, runs locally, and is fully open source. Claude Code is tied to Claude models and requires a subscription.
What LLMs does Goose support?
Goose supports any language model through a bring-your-own-key approach. This includes OpenAI, Anthropic Claude, Google, local models, and more. You can configure multiple models for different tasks to optimize cost and performance.
Can Goose work offline?
Goose runs locally and can work in air-gapped environments when paired with local models. The core agent runs on your machine without requiring cloud connectivity (except for LLM API calls if using cloud providers).
Source: github.com