OpenCode, Pi, and Goose: Three Layers of the AI Agent Stack (gist.github.com)

Three emerging open-source AI agent tools—OpenCode, Pi, and Goose—offer distinct functionalities within the AI/ML landscape, each serving different roles in the development stack. Pi functions as an agent kernel and toolkit, providing a foundation for building and understanding agent systems through features like interactive CLI, agent runtime, and a unified multi-provider LLM API. Its lack of built-in permissions emphasizes user responsibility in securing the environment, positioning Pi as a canvas for developers looking to innovate in agent design. In contrast, Goose functions as a broader local AI agent workbench, integrating coding and non-coding tasks with a desktop app and CLI interface, making it more versatile for workflows that extend beyond just programming. Meanwhile, OpenCode focuses on software development, offering a coding-first interface for tasks like code exploration, planning, and implementation. These clear distinctions allow developers to choose tools based on their specific needs: Pi for building and understanding agent architectures, Goose for orchestrating local workflows, and OpenCode for dedicated software development tasks. This layered understanding helps clarify the diverse roles these tools play in advancing AI applications.