aaif-goose/goose
Summary
Goose is an open-source, extensible AI agent capable of installing, executing, editing, and testing code using any LLM.
Similar Articles
OpenCode, Pi, and Goose: Three Layers of the AI Agent Stack
The author compares three open-source AI agent tools—Pi, Goose, and OpenCode—describing them as operating at different layers of the AI agent stack: Pi as an agent harness/toolkit, Goose as a local workbench/orchestration surface, and OpenCode as a coding-first agent.
@Fluyeporlaweb: Jack Dorsey built the most COMPLETE local AI agent that exists. Then he donated it to the Linux Foundation so that no o…
Jack Dorsey built and open-sourced Goose, a comprehensive local AI agent that autonomously performs development tasks like installing dependencies, running code, testing, and deploying. Donated to the Linux Foundation, it supports multiple LLMs and includes features like parallel subagents, MCP extensions, and adversary mode.
Built an OSS spec-driven AI development tool that runs multiple agents in parallel on the same feature with an LLM-as-judge that picks the winner
Aigon is an open-source tool that runs multiple AI coding agents in parallel on the same feature specified in a markdown spec and uses an LLM judge to select the best implementation, with a visual dashboard and optional scheduling.
@geekbb: An open-source AI agent meta-orchestration framework that provides a unified orchestration layer for multiple agents including Claude Code, Codex, Cursor, OpenCode, Hermes, and Pi. Users can seamlessly switch sessions across devices (terminal, browser, mobile, desktop app) to enable multi-agent...
Omnigent is an open-source meta-orchestration framework that provides a unified orchestration layer over multiple AI agents like Claude Code, Codex, and Cursor. It enables seamless cross-device session switching, multi-agent collaboration, policy enforcement, and cloud sandbox execution.
@Saboo_Shubham_: Thanks for sharing. Open Source code here:
A curated collection of over 100 ready-to-run AI agent and RAG app templates with full source code, supporting multiple LLMs like Claude, Gemini, and OpenAI. Open-source and freely available on GitHub.