AIAny
AI Agent2024
Icon for item

goose

Runs local AI-agent workflows through a desktop app, CLI, and embeddable API, connecting many LLM providers and MCP extensions for editing, execution, testing, and automation.

Introduction

The interesting shift is from assistant to operator. goose gives the agent local tools, an extension surface, and multiple interfaces so it can participate in workflows where files, commands, and external systems all matter.

What Sets It Apart

It spans desktop, terminal, and API usage, and separates the agent shell from model and tool choices through providers, ACP, and MCP extensions. Flexibility is useful, but users must curate credentials, permissions, and prompt scope.

Who Should Use It

Great fit if you want a local agent across code, research, writing, automation, and data tasks. Look elsewhere if you only need inline IDE completions or a tightly managed enterprise platform.

Information

  • Websitegithub.com
  • OrganizationsAgentic AI Foundation, Linux Foundation
  • Authorsblock
  • Published date2024/06/01

More Items

GitHub
AI Agent2026

Gives AI agents reusable workflows for creating images, video, audio, and 3D with Scenario, including model selection, cost checks, and consistency controls. Separate expert skills guide agents in DCC tools such as Blender, Maya, and ZBrush.

GitHub
AI Agent2023

Analyzes code changes to generate pull-request reviews, improvement suggestions, and summaries. It works across multiple Git providers and LiteLLM-compatible models, and can be self-hosted and customized.

GitHub
AI Coding2026

Provides installable playbooks for AI coding agents, with local catalog search, agent-chosen skill stacks, and reviewable plans before changes. The core preview flow does not rank skills or apply them.