An infinite canvas where coding agents work in concert
Maestri is a native macOS app with an infinite canvas for coding agents. Each terminal is a visual node you position freely alongside notes and sketches. Connect agents by dragging a line and they collaborate across harnesses through PTY orchestration. Claude Code talks to Codex. Gemini delegates to OpenCode. Ombro, an on-device AI companion via Apple Intelligence, monitors everything and summarizes what happened while you were away. SwiftUI, custom engine, zero cloud, no telemetry.
Hey Product Hunt! I'm Evert, a solo dev from Brazil. I built Maestri because I was drowning in terminal tabs while working with multiple AI coding agents. The idea is simple: an infinite canvas where each terminal is a node. But the feature that changes everything is agent-to-agent communication. Drag a line between two terminals and they collaborate. Claude Code asks Codex to review its code. No APIs, no middleware, just PTY orchestration. Built entirely in Swift with a custom-built canvas engi
Hey, I'm a fan of native mac apps and your app look promising, especially for keeping an eye on what your agents are doing and having a visual and organized canvas. Can 2 codex instances can collaborate as well? Congratulations on your launch! 🚀
Can I replace the default terminal with Ghostty?
If you use so many tools for development, won’t it get expensive? Claude Code alone costs $100–200 per license per person if used actively throughout the day.
Stringing multiple coding agents together usually turns into a tangled mess of terminal logs, so mapping them out on a spatial canvas makes total sense. I can see this being incredibly useful for having one agent draft a database schema while another concurrently builds the API routes. I am curious how you handle state sharing and context window limits when several agents are interacting at the same time.
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A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.