Claude Code costs up to $200 a month. Goose does the same thing for free.

The AI coding revolution is here, but it comes with a price tag that stings. <a href="https://data.allwinchina.org/ai-tools/claude-code/" title="Claude Code review”>Claude Code, Anthropic’s terminal-based agent that writes, debugs, and deploys code autonomously, has developers hooked. But the pricing—$20 to $200 per month depending on usage—has sparked a quiet rebellion.

Enter Goose. It’s an open-source AI agent from Block (the company formerly known as Square), and it does almost everything Claude Code does. The kicker? It’s free. No subscriptions. No cloud dependency. No rate limits that reset every five hours. It runs entirely on your local machine.

“Your data stays with you, period,” said Parth Sareen, a software engineer who showed the tool off during a livestream. That’s the core appeal: complete control over your AI-powered workflow, including the ability to work offline—even on a plane.

Goose has exploded in popularity. It’s sitting at over 26,100 stars on GitHub, with 362 contributors and 102 releases since launch. The latest version, 1.20.1, shipped on January 19, 2026. That’s a development pace that rivals any commercial product.

For developers frustrated by Claude Code’s pricing and usage caps, Goose represents something rare in AI: a genuinely free, no-strings-attached option for serious work.

The Claude Code pricing controversy

To understand why Goose matters, you need to understand the Claude Code pricing mess.

Anthropic offers Claude Code as part of its subscription tiers. The free plan gives you zero access. The Pro plan, at $17 per month with annual billing (or $20 monthly), limits you to 10 to 40 prompts every five hours. Serious developers burn through that in minutes.

The Max plans, at $100 and $200 per month, offer more headroom: 50 to 200 prompts and 200 to 800 prompts respectively, plus access to Claude 4.5 Opus. But even these premium tiers come with restrictions that have inflamed the community.

In late July, Anthropic announced new weekly rate limits. Pro users get 40 to 80 hours of Sonnet 4 usage per week. Max users at the $200 tier get 240 to 480 hours of Sonnet 4, plus 24 to 40 hours of Opus 4. Nearly five months later, the frustration hasn’t cooled down.

Here’s the catch: those “hours” aren’t actual hours. They’re token-based limits that vary wildly depending on codebase size, conversation length, and complexity. Independent analysis suggests the actual per-session limits translate to roughly 44,000 tokens for Pro users and 220,000 tokens for the $200 Max plan.

“It’s confusing and vague,” one developer wrote in a widely shared analysis. “When they say ’24-40 hours of Opus 4,’ that doesn’t really tell you anything useful about what you’re actually getting.”

The backlash on Reddit and developer forums has been fierce. Some users report hitting their daily limits within 30 minutes of intensive coding. Others have canceled their subscriptions entirely, calling the new restrictions “a joke” and “unusable for real work.”

Anthropic has defended the changes, stating that the limits affect fewer than five percent of users and target people running Claude Code “continuously in the background, 24/7.” But they haven’t clarified whether that figure refers to five percent of Max subscribers or five percent of all users. That distinction matters enormously.

How Block built a free AI coding agent that works offline

Goose takes a radically different approach to the same problem.

Built by Block, the payments company led by Jack Dorsey, Goose is what engineers call an “on-machine AI agent.” Unlike Claude Code, which sends your queries to Anthropic’s servers for processing, Goose can run entirely on your local computer using open-source language models that you download and control yourself.

The project’s documentation describes it as going “beyond code suggestions” to “install, execute, edit, and test” code. It’s not just a chatbot that spits out code snippets. It’s an agent that can actually run your code, debug it, and push changes.

This local-first approach solves multiple problems at once. No data leaves your machine, which is a big deal for companies with strict compliance requirements. No internet connection is needed after the initial setup. And no usage caps—you can run it as much as you want, for as long as you want.

Goose supports a variety of open-source models, including Llama, Mistral, and Qwen. You can also plug in commercial models if you prefer, but the default setup is entirely free. The agent integrates with common development tools like Git, Docker, and VS Code, making it a drop-in replacement for Claude Code in most workflows.

Is Goose actually as good as Claude Code?

Let’s be honest: Claude Code is polished. Anthropic has invested heavily in making it work well out of the box, with tight integration with their models and infrastructure. Goose, being open-source and community-driven, has a rougher edge.

But in practice, the gap is narrower than you’d expect. Goose handles the core tasks—writing code, debugging, deploying—with reasonable competence. The main trade-off is model quality. Claude 4.5 Opus is a beast, and open-source models haven’t quite caught up yet. But for many development tasks, the difference is marginal.

Where Goose really shines is in flexibility. You can swap models, tweak prompts, modify the agent’s behavior, and even contribute to the project itself. With Claude Code, you get what Anthropic gives you, and you pay for the privilege.

The bigger picture: AI is becoming a commodity

Goose’s rise is part of a larger trend. The AI industry is moving from a model of expensive, proprietary services to one where capable tools are freely available. OpenAI and Anthropic are still the headline acts, but the open-source ecosystem is catching up fast.

Block’s decision to build and open-source Goose is interesting. They’re a payments company, not an AI company. But they clearly saw the value in having a capable internal tool, and they chose to share it with the world. That’s a smart play—it builds goodwill, attracts contributors, and positions them as a player in the developer tools space.

For developers, the message is clear: you don’t have to pay $200 a month for AI coding assistance. Goose is here, it’s free, and it works. The only question is whether Anthropic will respond with better pricing or watch its user base drift away.