Figaro: Open-Source Tool Enables Remote Orchestration of Multiple Claude AI Agents
Key Takeaways
- ▸Figaro enables orchestration of multiple Claude AI agents across containers, VMs, and physical machines via VNC connections
- ▸Features a supervisor agent for intelligent task delegation and multi-channel human-in-the-loop control including Telegram integration
- ▸Supports long-running automated workflows with self-healing, self-learning, and task scheduling capabilities
Summary
Developer byt3bl33d3r has released Figaro, an open-source orchestration platform that enables users to control and manage fleets of Anthropic's Claude Code and Claude Computer Use agents remotely. The system allows AI agents to run across containerized Linux desktops, virtual machines, and physical devices, with all environments accessible via VNC connections and live-streamed to a central dashboard.
Figaro introduces a supervisor agent architecture that handles intelligent task delegation across multiple worker agents, with human-in-the-loop capabilities through channels like Telegram. The platform supports task scheduling with self-healing and self-learning features, making it suitable for long-running automation workflows that can take minutes to hours to complete. All services communicate over NATS messaging infrastructure, providing a scalable foundation for distributed agent operations.
The tool is designed to work with any VNC-accessible desktop environment, including local machines, remote servers, cloud VMs, and physical workstations running macOS, Windows, or Linux. Worker agents can observe and interact with connected desktops through screenshots, typing, clicking, and keyboard input. The project is released under the MIT license on GitHub, making it freely available for developers looking to build complex multi-agent automation systems with Claude's computer use capabilities.
- Released as open source under MIT license, compatible with macOS, Windows, and Linux desktop environments
