aaif-goose/goose

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

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Summary Information

Updated 55 minutes ago
Added to GitGenius on February 6th, 2025
Created on August 23rd, 2024
Open Issues & Pull Requests: 226 (+0)
Number of forks: 6,106
Total Stargazers: 53,474 (+0)
Total Subscribers: 295 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 21.4 hours
Mean response time: 12.6 days
90th percentile: 41.9 days
Tracked items: 2,848

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 70% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "hacktoberfest" is answered fastest, typically in about 2 hours, while "onboarding" waits about 6 days. Almost all tracked open issues have seen activity in the last three months. Only 8% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 143
New in 7 days: 63
Closed in 7 days: 89
Avg open age: 12 days
Stale 30+ days: 2
Stale 90+ days: 1

Recent activity

Opened in 7 days: 47
Closed in 7 days: 80
Comments in 7 days: 201
Events in 7 days: 725

Top labels

  • enhancement (595)
  • p2 (257)
  • p3 (181)
  • ui (128)
  • p1 (110)
  • hacktoberfest (98)
  • mcp (70)
  • help wanted (66)

Detailed Description

Goose is an open source AI agent written in Rust that operates as a general-purpose automation tool available across desktop, CLI, and API interfaces. The project recently transitioned from Block to the Agentic AI Foundation (AAIF) at the Linux Foundation, reflecting its growing importance in the open source AI ecosystem. The agent is designed to handle diverse tasks beyond code suggestions, including research, writing, automation, and data analysis, with the ability to install, execute, edit, and test code across multiple environments.

The platform supports integration with 15+ LLM providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Bedrock, allowing users to leverage their existing subscriptions through the ACP provider system. Goose connects to 70+ extensions via the Model Context Protocol, an open standard that enables extensibility and interoperability with external tools and services. The native desktop application runs on macOS, Linux, and Windows, while the CLI provides terminal-based workflows and an API allows embedding the agent in custom applications.

This suggests goose includes tooling for handling database operations, schema versioning, and automated migrations alongside its core AI agent functionality. The repository maintains Apache 2.0 licensing and provides governance documentation alongside custom distribution capabilities, enabling users to build branded versions with preconfigured providers and extensions.

The project maintains active documentation at goose-docs.ai covering quickstart guides, installation instructions, tutorials, and troubleshooting resources. Community engagement occurs through Discord, YouTube, LinkedIn, and Twitter/X channels, establishing multiple touchpoints for users and contributors to interact with the project.