Shepherd Terminal is a persistent macOS workspace designed specifically for developers who utilize coding agents such as Codex and Claude. It enables users to run these agents across multiple tabs, panes, and even remote machines, providing a unified and organized environment for complex coding tasks. The primary purpose of Shepherd Terminal is to streamline the workflow of managing multiple AI coding assistants, ensuring that no work is lost and context is always maintained.
The problem Shepherd Terminal addresses is the inherent difficulty in managing multiple coding agents simultaneously. Developers often find themselves juggling numerous terminal windows, losing track of which agent is performing which task, or having to restart sessions after closing an application. This fragmentation leads to lost context, reduced productivity, and frustration. Shepherd Terminal aims to solve this by providing a robust, persistent environment where agents can operate reliably and their progress is always accessible.
One of the core features of Shepherd Terminal is its ability to keep terminal sessions alive even when the application is closed. This persistence ensures that long-running agent tasks are not interrupted, and users can confidently close Shepherd and reopen it later to find their sessions exactly as they left them. This is crucial for complex coding tasks that may take hours or even days to complete.
Shepherd Terminal also excels at tracking the status of multiple agents in real time. Users can easily see which agents are actively working, which are waiting for input, or which have completed their tasks. This real-time monitoring allows for efficient management of parallel agent workflows, enabling developers to quickly identify bottlenecks or areas that require attention.
The product allows agents to understand and control the current Shepherd workspace. This means agents can interact with the environment, manage tabs and panes, and even collect feedback through browser reviews. This integration allows for more sophisticated agent behavior and a more dynamic interaction between the user, the agents, and the development environment.
Furthermore, Shepherd Terminal facilitates seamless return to previous agent sessions. Users can resume their work and inspect an agent's files, changes, and Git history without losing any context. This feature is invaluable for debugging, code reviews, or simply picking up where a task was left off.
Shepherd Terminal operates by providing a persistent, context-aware environment for coding agents. It manages terminal sessions independently of the application's lifecycle, allowing agents to run continuously. The system intelligently tracks agent states and provides tools for agents to interact with the workspace, ensuring that all operations are logged and retrievable.
The benefits for users include significantly improved productivity, reduced context-switching overhead, and the assurance that long-running agent tasks will not be lost. By centralizing agent management, Shepherd Terminal allows developers to focus more on coding and less on managing their tools.
Concrete use cases include running multiple agents to refactor a large codebase, where each agent might handle a different module or aspect of the refactoring. Another use case is using agents for code generation and testing in parallel, with Shepherd ensuring all outputs are captured and accessible for review. Developers can also use Shepherd to connect to remote development machines via SSH, managing agents that operate directly on those servers.
Shepherd Terminal is currently available as a macOS application for Apple silicon Macs running macOS 14 or later. The product is free and is in its first public beta. An iOS companion app is also in development for monitoring agents and receiving alerts on the go. The product is built with Rust and integrates with AI models like Codex and Claude.
In summary, Shepherd Terminal offers a robust and persistent environment for managing multiple coding agents, ensuring continuity, real-time monitoring, and seamless context preservation, thereby enhancing developer productivity and simplifying complex AI-assisted coding workflows.
