Goose

Goose

Block
+
+

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About

Goose is an open-source, on-machine AI agent designed to automate engineering tasks directly within your terminal or integrated development environment (IDE). Operating locally, it efficiently executes tasks such as code generation, debugging, and deployment, allowing developers to focus on higher-level problem-solving. Goose's extensible architecture enables customization with preferred large language models (LLMs) and integration with external APIs, enhancing its capabilities to suit diverse project requirements. By autonomously handling complex tasks, Goose streamlines the development process, increasing productivity and reducing manual effort. Developers have praised Goose for its ability to manage tasks like updating dependencies, running tests, and automating code migrations, highlighting its effectiveness in real-world applications.

About

Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software developers and engineers seeking an AI-powered assistant to automate coding tasks, streamline workflows, and enhance productivity within their terminal or IDE

Audience

Software engineers, AI developers, coding agent users, platform teams, DevOps teams, ML engineers, research teams, enterprise development teams, and organizations that need terminal coding agents, repository automation, code generation, debugging, validation, persistent subagents, replay-safe execution, long-running coding workflows, and end-to-end software development support

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • Really cool that it runs locally. Goose is an incredibly powerful AI coding agent that makes automating development tasks faster and more efficient. It streamlines coding workflows by handling repetitive programming tasks, optimizing performance, and assisting with complex problem-solving. One of the best things about Goose is how seamlessly it integrates into existing development environments. It understands multiple programming languages and can generate, refactor, and debug code with impressive accuracy. Whether you need to write boilerplate code or optimize an existing project, Goose delivers reliable results. Speed and efficiency are where Goose really stands out. It processes code quickly and provides intelligent suggestions that feel intuitive. The AI-powered decision-making helps reduce errors and improves overall development speed.

Cons

  • The only real downside is that it requires some initial setup and configuration, especially for users unfamiliar with AI coding agents. Additionally, while the command-line interface is robust, a more interactive UI would enhance the experience.

Pros & Cons from Real Users

Pros

  • Muse Code looks exciting because Meta is finally going after coding agents directly, not just releasing another general AI model. A terminal-based agent that can write code, inspect software, run tests, and validate changes is exactly the kind of workflow developers actually care about. The pricing angle is a big deal. Meta is pitching Muse Code as one of the more affordable coding agents, with a lower-cost tier that is reportedly less than one-tenth the cost of its general Muse Spark model. That matters if you use coding agents all day instead of just for the occasional refactor. I also like that it is powered by Muse Spark 1.2, which sounds more focused on software engineering than earlier Muse Spark releases. If Meta can make the agent reliable inside real repos, Muse Code could become a serious daily tool.

Cons

  • It is still in beta, so I would not trust it blindly yet. Coding agents need to prove themselves on messy codebases, failing tests, weird dependencies, security-sensitive changes, and long multi-step tasks. I would also want to see more independent developer feedback. Meta’s pricing and positioning are interesting, but the real test is whether Muse Code can consistently make good changes without wasting time or creating cleanup work.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Block
Founded: 2009
United States
block.github.io/goose/

Company Information

Meta
Founded: 2004
United States
meta.ai

Alternatives

Claude Code

Claude Code

Anthropic

Alternatives

Claude Code

Claude Code

Anthropic
Aider

Aider

Aider AI
Cline

Cline

Cline AI Coding Agent

Categories

Categories

Integrations

Android Studio
C++
Claude Sonnet 3.7
Clojure
F#
Git
GitHub
IntelliJ IDEA
Java
JavaScript
JetBrains Aqua
JetBrains Datalore
Kotlin
Muse Spark
Muse Spark 1.2
Python
Ruby
SQL
Scala
TypeScript

Integrations

Android Studio
C++
Claude Sonnet 3.7
Clojure
F#
Git
GitHub
IntelliJ IDEA
Java
JavaScript
JetBrains Aqua
JetBrains Datalore
Kotlin
Muse Spark
Muse Spark 1.2
Python
Ruby
SQL
Scala
TypeScript
Claim Goose and update features and information
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