codename goose
@block
About codename goose
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Overview
What is codename goose?
codename goose is a local, extensible, open-source AI agent that automates engineering tasks from start to finish. It runs on your machine as both a desktop app and a CLI, and works with any LLM while integrating seamlessly with Model Context Protocol (MCP) servers.
How to use codename goose?
Install codename goose using the official quickstart guide and documentation available at the project website. After installation, you can run it via the desktop application or command-line interface, connect any LLM provider, and attach MCP servers to extend its capabilities.
Key features of codename goose
- Local execution (runs on your machine)
- Works with any large language model
- Seamless MCP server integration
- Desktop app and CLI availability
- Open source under Apache 2.0 license
Use cases of codename goose
- Build entire projects from scratch autonomously
- Write, execute, and debug code end-to-end
- Orchestrate complex engineering workflows
- Interact with external APIs during task execution
- Prototype ideas and refine existing codebases
FAQ from codename goose
What can codename goose do?
codename goose can automate complex development tasks including building projects, writing and executing
Basic information
More Coding Agents MCP clients
codemcp
ezyangCoding assistant MCP for Claude Desktop
Overreach
Naveja00Overreach catches AI-agent scope creep. You give it the prompt you gave your coding agent and the diff it produced; it flags every part of the diff the prompt didn't authorize — unauthorized dependencies, env vars, endpoints, cron jobs, files, and features. Every finding is deter
UtilityBelt
richardanayaTalk to MCP servers from aider
Roo Code (prev. Roo Cline)
roovetgitRoo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor.

Mitii AI Agent
Mitii-devYour local-first AI coding agent for complex work. Read files, write code, run commands — all with your approval.
Comments