Codename Goose
Overview
An open-source, on-machine AI agent automating complex engineering tasks to enhance developer productivity.
Best For Professions:
Codename Goose is an open-source AI agent developed by Block's Open Source Program Office, designed to automate intricate engineering tasks directly on your machine. It extends beyond mere code suggestions by autonomously building projects, writing and executing code, debugging, orchestrating workflows, and interacting with external APIs. Goose operates locally, ensuring data privacy and security, and is highly extensible, allowing integration with various large language models (LLMs) and tools through the Model Context Protocol (MCP). This flexibility enables developers to customize Goose to their specific workflows, thereby enhancing productivity and innovation.
AI Agent Store research
What the evidence says about Codename Goose
Codename Goose is now Goose, a general-purpose open-source AI agent maintained under the Agentic AI Foundation at the Linux Foundation. It runs locally as a desktop app, CLI, or embeddable API and can use many model providers and MCP extensions for coding, research, writing, automation, and data analysis.
Last reviewed August 23, 2026
Verified capabilities
- Local agent execution
Goose runs on the user's machine and is available as a native desktop app, full command-line interface, and API.[1]
- Provider-neutral model access
The agent supports more than 15 providers, including hosted services and local Ollama models, through API keys or supported subscriptions.[1]
- MCP extension ecosystem
Goose connects to more than 70 extensions through Model Context Protocol and can be packaged into custom distributions.[1]
Where it fits best
Buying and deployment notes
Goose is free, open-source software under Apache 2.0. Users separately supply model-provider access or compatible subscriptions, so inference cost depends on the provider and model selected.[1]
Platforms: macOS desktop, Linux desktop, Windows desktop, Command-line interface, Embeddable API[1]
Deployment: Local desktop application, Local CLI, Locally embedded API, Custom distribution[1]
Important considerations
- Goose requires a configured model provider, API key, or supported model subscription; those inference costs and limits are separate from the free software.[1]
- The CLI can execute shell commands directly in the user's environment, while the documented macOS sandbox is optional and disabled by default.[2]
- The project has moved from Block to AAIF, so older links and references may still point to the former repository or brand.[1], [3]
Sources and research method (3)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- aaif-goose/gooseGitHub · checked 2026-08-23
- Environment Variables | GooseDocumentation · checked 2026-08-23
- Block Open Source Introduces Codename GooseOfficial site · checked 2026-08-23
Autonomy level
83%
Comparisons
Custom Comparisons
Some of the use cases of Codename Goose:
- Automating code generation, execution, and debugging processes.
- Managing complex engineering workflows autonomously.
- Integrating with various development tools and APIs.
- Customizing AI capabilities to fit specific development needs.
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Pricing model:
Code access:
Popularity level: 72%
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