Goose
Goose: A free, self-hosted coding agent with desktop, CLI, and API access across model providers. Ranked #8 of 29 in AI Code Generation Software by our editors (8.7/10); pricing: Free plan; best for self-hosted multi-provider coding agents.
At a glance
- Editor score8.7 / 10
- PricingFree plan
- Best forSelf-hosted multi-provider coding agents
- Free planYes
- Paid fromFree
- Facts checked23 Sep 2026
Where it wins
- Installs, executes, edits, and tests code through desktop, CLI, or API.
- Connects tools and data through MCP extensions and supports YAML workflows.
- Offers subagents, tool permissions, prompt-injection detection, and sandbox mode.
Where it doesn't
- Model-provider usage may incur separate charges.
- Requires users to configure their own model provider.
- Support channels are community and documentation.
Our verdict on Goose
Goose is an open-source AI agent that runs on a user's machine, with interfaces for desktop, CLI, and API use. It suits developers and teams who want an agent to install, execute, edit, and test code, while retaining the option to use it for research, writing, automation, or data analysis. Its self-hosted approach and support for multiple model providers make it a fit for people who want to choose their own provider rather than work within a single model ecosystem.
Provider choice is a core part of Goose's flexibility: supported options include Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Amazon Bedrock. MCP extensions connect the agent to tools and data sources. YAML workflow recipes can bundle extensions, parameters, and subrecipes, while subagents can handle parallel tasks. This breadth will appeal to teams building repeatable agent workflows or connecting coding tasks to existing tools. Buyers seeking a conventional standalone IDE integration should note that Goose is listed as a standalone IDE option, with its own desktop, CLI, and API interfaces.
Goose itself is free and open source, but users configure their own model provider, and provider usage may carry separate charges. Prompt-injection detection, tool permissions, and sandbox mode provide controls for agent actions, while documentation and community are the listed support channels. Goose is a strong fit for solo developers through enterprise teams that want self-hosted, multi-provider agents and are comfortable choosing and configuring a provider. It is less suited to buyers looking for a bundled model subscription or a product centered on managed support.
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Goose pricing
Goose fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| IDE support | Not verified |
| Generation modes | Not verified |
| Supported languages | Not verified |
| Context window | Not verified |
| Platforms | Not verified |
| Enterprise controls | Not verified |
| Deployment | Self-hosted, Desktop |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 8 integrations: Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure … See all → |
| Pricing | Free plan |
| Website | goose-docs.ai |
| Facts checked | 23 Sep 2026 |
Goose integrations
Goose lists 8 integrations on its own site.
- Anthropic
- OpenAI
- Ollama
- OpenRouter
- Azure
- Amazon Bedrock
- MCP extensions
Alternatives to Goose
- Claude CodeClaude Code handles multi-step coding work across codebases, with terminal, IDE, and tool integrations.9.4
- OpenAI CodexDelegates complete engineering tasks across ChatGPT, IDEs, terminals, and cloud worktrees.9.3
- CursorA desktop editor that brings code chat, completions, and multi-file agents together.9.2
Goose vs the competition
- Goose vs Claude Code
- Goose vs OpenAI Codex
- Goose vs Cursor
- Goose vs Aider
- Goose vs Devin
- Goose vs GitHub Copilot
Compare Goose with any tool side by side →
Also Ranked In
Goose is ranked in 3 of our directories.
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Featured on iTechGuides
Goose is listed in our AI Code Generation Software directory. Add the badge to your site — it links back to this page.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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