block / goose
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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Repository Summary (README)
Previewgoose
a local, extensible, open source AI agent that automates engineering tasks
<p align="center"> <a href="https://opensource.org/licenses/Apache-2.0" ><img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg"></a> <a href="https://discord.gg/goose-oss" ><img src="https://img.shields.io/discord/1287729918100246654?logo=discord&logoColor=white&label=Join+Us&color=blueviolet" alt="Discord"></a> <a href="https://github.com/block/goose/actions/workflows/ci.yml" ><img src="https://img.shields.io/github/actions/workflow/status/block/goose/ci.yml?branch=main" alt="CI"></a> </p> </div>goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.
Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.
Designed for maximum flexibility, goose works with any LLM and supports multi-model configuration to optimize performance and cost, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.
Quick Links
- Quickstart
- Installation
- Tutorials
- Documentation
- Responsible AI-Assisted Coding Guide
- Governance
- Custom Distributions - build your own goose distro with preconfigured providers, extensions, and branding
Need Help?
a little goose humor 🦢
Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀