Caw

Caw is a desktop application that acts as a terminal multiplexer for AI coding agents. You can run multiple AI models—like Claude, Codex, Copilot, and others—side by side, all in a single interface. The tool is designed for developers who want to compare outputs, leverage different strengths, or simply run multiple assistants at the same time without switching tabs. It downloads as a native binary for macOS, Windows, and Linux, and it's open-source.

Caw presents a web-based terminal view where each AI agent gets its own pane. You can see their responses in parallel, making it easy to compare suggestions or run different prompts on different models. The tool itself is lightweight—it doesn't host models or process data; it just connects to the agents' APIs and displays the results. The developer is actively building it on GitHub, with frequent releases.

This tool is most useful for developers who work with multiple AI coding assistants and want to save time by running them concurrently. It's also handy for researchers benchmarking different models or for tinkerers who enjoy experimenting with the latest AI tools. Because it's open-source, you can inspect the code, suggest features, or even contribute improvements. If you regularly use AI for coding and want a more efficient workflow, Caw is worth a try.