GitHub - pedramamini/Maestro: Agent Orchestration Command Center
2 months ago
- #productivity-tool
- #keyboard-navigation
- #AI-agents
- Maestro is a cross-platform desktop app for managing AI agents and projects.
- Designed for power users who prefer keyboard navigation over mouse usage.
- Features include collaboration with AI for specification documents and Auto Run for automated task execution.
- Supports multiple AI agents in parallel with a responsive interface.
- Git Worktrees allow parallel AI agent operations on isolated branches.
- Auto Run & Playbooks enable batch-processing of markdown checklists through AI agents.
- Group Chat coordinates multiple AI agents in a single conversation.
- Mobile Remote Control via built-in web server with QR code access.
- Command Line Interface (CLI) for headless operation.
- Multi-Agent Management for unlimited parallel agents and terminal sessions.
- Message Queueing ensures no messages are lost when AI is busy.
- Dual-Mode Sessions allow switching between AI conversation and shell commands.
- Keyboard-First Design with customizable shortcuts and mastery tracking.
- Session Discovery for importing and managing existing sessions.
- Git Integration for automatic repo detection and branch display.
- File Explorer with syntax highlighting and markdown preview.
- Powerful Output Filtering with regex support.
- Slash Commands with autocomplete for custom workflows.
- Draft Auto-Save to prevent loss of work.
- Speakable Notifications for task completion alerts.
- Beautiful Themes with 12 options available.
- Cost Tracking for real-time token usage monitoring.
- Achievements system with 11 conductor-themed ranks.
- Usage Dashboard for comprehensive analytics and CSV export.
- Document Graph for visualizing markdown documentation relationships.
- Supports Claude Code, OpenAI Codex, and OpenCode, with potential future additions.
- Downloadable from the Releases page or buildable from source.
- Requires at least one supported AI coding agent and optional Git for full functionality.
- Full documentation and usage guide available at docs.runmaestro.ai.