Pragma.sh
Pragma is a desktop workspace for running persistent, worktree-scoped coding agents.
A startup from Laguna Niguel, the United States that is founded by Ethan Krich.
Pragma is a desktop workspace for running persistent, worktree-scoped coding agents.
A startup from Laguna Niguel, the United States that is founded by Ethan Krich.
This page is designed to help you find out whether Pragma.sh is good and if it is the right choice for you.
Pragma is an open-source, local-first agentic development environment for developers who work with multiple AI coding agents in parallel.
It gives tools like Claude Code, Codex, OpenCode, Cursor, and other agents a shared workspace while keeping each task isolated in its own Git worktree, branch, and terminal. Instead of juggling terminal tabs and manually checking agent progress, Pragma shows which sessions are running, finished, or waiting for attention and can notify you when input is needed.
Pragma includes built-in Git and GitHub workflows for reviewing diffs, committing and pushing changes, creating pull requests, viewing checks and review threads, and resolving issues without leaving the app.
Its Fanout feature lets you send the same prompt to multiple agents or models at once. Each attempt runs independently, allowing you to compare implementations, inspect diffs and terminal output, and merge the result you prefer.
Pragma is designed to be extensible. Its plugin API and TypeScript SDK allow developers to add new agents, tools, commands, views, automations, and integrations. Agents can also interact with Pragma through its CLI to create worktrees, launch sessions, and automate development workflows.
The app also includes a file browser, code and Markdown editors, diff viewer, project scripts, persistent terminal layouts, automations, SSH and WSL support, and mobile and web access for monitoring or interacting with agents remotely.
Pragma runs on macOS, Windows, and Linux and is licensed under AGPL-3.0. It is built for developers who want to manage AI coding agents as a parallel team rather than as a single assistant.
Listed in
Free and Open Source
Licensed under AGPL-3.0 license
Claude Code, Codex & Cursor Support
Includes a skill and cli to be used by coding agents
Pragma is built with Tauri, Rust, React, TypeScript, and Bun. The desktop application uses Tauri with a Rust host, while the interface is built with React and web technologies. The project also includes a typed TypeScript SDK, plugin system, CLI tooling, mobile clients, and a persistent host architecture for running agent sessions independently of the UI.
One of Pragma’s main technical differences from competitors such as Orca, Emdash, and Superset is its desktop architecture. Those applications currently use Electron, while Pragma uses Tauri and Rust.
Electron applications typically bundle Chromium and a JavaScript runtime with the application. Tauri instead uses the operating system’s existing webview—such as WKWebView on macOS and WebView2 on Windows—while running native application logic in a compiled Rust process. This avoids shipping a separate browser engine with every installation and can reduce application size and runtime overhead.
Rust is also well suited to the work Pragma performs behind the interface: managing processes, terminals, Git worktrees, persistent sessions, filesystem operations, and communication between multiple agents. Rather than putting all of this system-level work into a JavaScript/Node.js process, Pragma can execute native code while still retaining a React-based UI.
This architecture is particularly useful for Pragma because users may have many terminals and AI agents running simultaneously. The goal is to keep the orchestration layer relatively lightweight so more of the machine’s CPU and memory remain available for the coding agents, language servers, builds, and development tools themselves.
Pragma therefore combines the flexibility of a modern web UI with a native Rust backend, giving it a different performance profile from Electron-based agent orchestrators without requiring the interface to be written entirely with native UI frameworks.
Pragma goes beyond the standard “one agent per Git worktree” model used by tools like Orca, Emdash, and Superset.
Its biggest differentiator is that the entire development environment is extensible. Pragma has a public plugin API that can add new coding agents, sidebar tools, commands, cards, web views, and integrations directly into the app. Its built-in agents are implemented using the same plugin system available to third-party developers.
Pragma also combines features that are often separate in competing tools: a kanban-style agent board, interactive MDX scratchpads, event-driven TypeScript automations, built-in Git and GitHub workflows, Fanout for comparing multiple agent implementations, and mobile and web clients for remotely managing running agents.
It is also built with Tauri and Rust rather than Electron, while remaining local-first and open source.
Developers should consider Pragma if they want an agentic development environment that they can deeply customize rather than just a polished way to run agents in parallel.
Tools such as Orca already provide a strong worktree-based workflow with multiple agents, terminals, code review, SSH projects, and mobile access. Pragma builds on that same foundation with a broader extensibility layer: a public plugin API, interactive agent scratchpads, a task board that follows work from prompt to pull request, programmable event-driven automations, and a CLI and SDK that let agents interact with the environment itself.
Pragma is especially useful for developers who want to build their own workflows around coding agents, integrate less-common or custom agents, automate repetitive development processes, or manage their agents from desktop, web, and mobile without tying the workflow to a single AI provider.
Pragma is primarily for developers who have moved beyond using one AI coding assistant at a time and are starting to run multiple coding agents in parallel.
The core audience includes power users of tools such as Claude Code, Codex, OpenCode, Cursor, and similar CLI agents; developers already experimenting with worktree-based orchestrators such as Orca, Emdash, or Superset; and engineers who want to customize or automate their agent workflows.
It is particularly well suited to developers who value open-source and local-first tooling, want to integrate multiple AI providers instead of committing to one ecosystem, or want to build their own plugins, automations, and agent integrations around their development environment.
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