codename goose
Codename goose is an open-source, extensible AI agent that runs locally and automates engineering tasks by connecting LLMs to real-world actions through a powerful extension system.
https://block.github.io/goose?ref=aipure
Product Information
Updated:Feb 16, 2025
codename goose Monthly Traffic Trends
Codename Goose reached 153K visits in January 2025, showing no growth. The recent introduction of Codename Goose as an open-source AI agent for automating engineering tasks did not significantly impact traffic, possibly due to the product's novelty and limited user awareness.
What is codename goose
Developed by Block engineers, codename goose is an innovative open-source AI agent framework designed to automate software development tasks and improve productivity. It operates as a local application available through both CLI and desktop interfaces, allowing developers to leverage various LLM providers while maintaining control over their development environment. The platform is built with transparency and collaboration in mind, making it accessible to developers who want to contribute, customize, and innovate freely.
Key Features of codename goose
Codename Goose is an open-source AI agent designed to automate software development tasks. It runs locally on machines, supports multiple LLM providers, and offers extensible functionality through a system of tools and extensions. The agent can handle complex engineering tasks autonomously, from debugging to deployment, while allowing developers to customize and integrate it with their existing workflows through both CLI and desktop interfaces.
Local Execution & Control: Runs locally on your machine (macOS and Linux) giving users full control over their development environment and data
Extensible Architecture: Supports various LLM providers and allows connection to external MCP servers and APIs through a flexible extension system
Intelligent Task Automation: Autonomously handles complex development tasks with built-in error handling and recovery capabilities
Version Control Integration: Works seamlessly with git and provides safety measures for code changes through staging and review processes
Use Cases of codename goose
API Testing & Development: Automatically generates test data and handles API testing by iteratively correcting requests based on error responses
Calendar Management Automation: Creates and manages calendar scripts for workflow optimization, including event blocking and color-coding
CI/CD Pipeline Debugging: Simplifies debugging of Continuous Integration failures by fetching and analyzing detailed information from GitHub
Code Migration & Transformation: Assists in migrating code between different frameworks or languages while maintaining functionality
Pros
Open-source nature allows for community contributions and customization
Local execution ensures data privacy and control
Extensive integration capabilities with existing development tools
Cons
Limited Windows support (requires WSL)
Some models (like DeepSeek) have limited functionality due to lack of tool calling support
May require significant setup and configuration depending on use case
How to Use codename goose
Install Goose: For Linux/macOS: Run 'curl -fsSL https://github.com/block/goose/releases/download/stable/download_cli.sh | bash'. For Windows: Install WSL (Windows Subsystem for Linux) first, then run the Linux installation command through WSL.
Choose and Configure LLM Provider: Run 'goose configure' to set up your preferred LLM provider. Goose works best with Claude 3.5 Sonnet or OpenAI's o1 model. You'll need to obtain and configure the appropriate API keys.
Set Up Extensions: Enable desired extensions through the CLI or Desktop app. The Developer extension is enabled by default, but you can add more extensions for GitHub, Google Drive, JetBrains IDEs, etc.
Start a Goose Session: Use 'goose session --name <name> --with-extension <command>' to start a new session with specific extensions enabled.
Provide Context: When working with Goose, provide sufficient context by telling it to read relevant files or search for objects in code. You can ask it to summarize them to help set up its next steps.
Use Version Control: When letting Goose make changes, use git strategy by staging your personal edits and leaving Goose edits unstaged until reviewed. Consider using individual commits that can be reverted if needed.
Execute Tasks: Describe your task to Goose in natural language. It can handle various tasks from debugging to deployment, writing scripts, and automating repetitive tasks.
Review and Control: Review Goose's changes before committing them. You can ask Goose to check with you before running commands, and use the stop command if you need to correct it or provide more information.
codename goose FAQs
Codename goose is an open-source AI agent that runs locally on your machine, designed to automate engineering tasks and improve productivity.
codename goose Video
Analytics of codename goose Website
codename goose Traffic & Rankings
153.3K
Monthly Visits
#291658
Global Rank
-
Category Rank
Traffic Trends: Nov 2024-Jan 2025
codename goose User Insights
00:03:15
Avg. Visit Duration
2.61
Pages Per Visit
50.91%
User Bounce Rate
Top Regions of codename goose
US: 47.8%
GB: 8.17%
IN: 7.89%
RU: 5.79%
CA: 5.51%
Others: 24.85%
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