Maestri is a macOS application designed as an orchestration canvas for AI agents, offering developers a spatial workspace to manage and coordinate multiple coding agents simultaneously. The platform addresses the challenge of context-switching and fragmented workflows by providing an infinite canvas where every agent and terminal is visible and can be organized spatially, allowing users to pan, zoom, and focus on different tasks without losing context.
A key feature of Maestri is its node-based interface, where each terminal or agent appears as a node on the canvas. Users can drag agents around, connect them with lines, and facilitate communication between them through PTY (pseudoterminal) connections, enabling one agent to type directly into another agent's terminal without the need for API integration or middleware. The tool also allows sketches and notes to be placed alongside active work, supporting a more organized and context-rich development environment. An included feature called Ombro monitors agent activity, so users can keep track of progress without constant manual oversight.
Maestri is intended for developers and others who work with AI agents, coding workflows, or require orchestration of multiple automated tasks. 2 or higher. The tool is available for free, allowing users to get started without cost.
By centralizing agent orchestration and related resources on a single, infinite canvas, Maestri aims to streamline complex workflows and reduce the cognitive load associated with managing multiple agents and terminals. Its spatial, node-based approach and native macOS delivery distinguish it within the category of AI and machine learning orchestration tools.
Maestri sits in PulseGate's Multi-agent & orchestration category. It focuses on coordinating and visualizing multiple AI coding agents and workflows in a unified workspace. Maestri is a consumer product aimed at developers using AI agents. Maestri costs nothing to use. It runs on the web, the command line, and macOS.
Maestri first shipped in 2024. Key capabilities include infinite canvas, agent orchestration, and terminal integration. The interface is available in English and Portuguese.
Summary written by a language model from the project’s public pages.
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