Prowl
Prowl is an open-source, native macOS application that acts as a command center for running multiple AI coding agents in parallel. Rather than juggling several terminal windows, developers get a single window with vertical tabs for each session, a live canvas view that visualizes every running agent at once, and a command palette for fast navigation and control. The project is maintained by onevcat on GitHub and is positioned as a coding-agent orchestrator rather than an agent itself. Prowl works with external command-line coding agents such as Claude Code, Codex, and other compatible tools, wrapping them in a unified native interface. Its vertical tab layout keeps many concurrent sessions readable, while the canvas view is intended to give an at-a-glance picture of what each agent is currently doing. The command palette provides keyboard-driven access to sessions and app actions, matching the workflow expectations of macOS power users. Because the app is built natively for macOS and is distributed as an open-source repository, users install and run it locally on their own machine, and the agents it drives run under the user's existing credentials and tooling. The GitHub repository includes the README and source, and the tool is frequently listed alongside other agent orchestrators in community-curated lists.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Running several AI coding agents at the same time usually means opening many terminal windows or editor panes, which makes it hard to see which agent is working, which is stalled, and what each one has produced. Prowl solves this by giving macOS users one native window that tracks every concurrent agent session through vertical tabs and a live canvas overview, plus a command palette for fast switching, so parallel agent workflows stay observable and manageable instead of fragmented across the desktop.
Use cases
- Run multiple Claude Code or Codex sessions in parallel on separate tasks in one window
- Monitor the live status and output of every running coding agent from a single canvas view
- Switch quickly between agent sessions using a keyboard-driven command palette
- Keep long-running agent tasks organized in vertical tabs instead of scattered terminal windows
- Compare results from different agents working on the same or related repositories
Audience
- Developers
- ML Engineers
- Product Managers
- Hobbyists
Pros
- Native macOS app rather than a web wrapper, matching platform conventions
- Vertical tabs and a live canvas view make many concurrent agent sessions readable
- Command palette supports fast keyboard-driven navigation
- Open source and works with existing CLI coding agents such as Claude Code and Codex
- Focused single purpose: orchestrating and observing parallel agent sessions
Cons
- Limited to macOS, with no Windows or Linux builds described
- Requires users to already have supported CLI coding agents installed and configured
- Does not provide its own agent or model, so capability depends on the underlying tools
- Project information on GitHub is brief, so documentation and onboarding material are thin
Official website: https://github.com/onevcat/Prowl
Canonical LambdaBase page: https://www.lambdabase.com/tools/prowl