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shannhkA control plane for managing and scaling Hermes AI agents
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This project offers a "Control Room" template for managing Hermes AI agents, enabling users to scale from single agents to orchestrated teams. It acts as a central hub for documentation, configuration, and operational management, providing a structured path for agent deployment and workflow automation. It's ideal for users treating AI agents like an operating system, benefiting from organized, scalable infrastructure.
How It Works
The core concept is establishing a "side control plane" (the Agent Control Room) before deploying agents. This control plane houses documentation, runbooks, registry, and configuration templates. The architecture scales through defined levels: Level 1 (Control Room + one agent), Level 2 (direct specialist agents), Level 3 (an optional orchestrator agent), and Level 4 (automated teams). A "Task Bus" pattern facilitates delegation between the orchestrator and specialists.
Quick Start & Requirements
setup-control-room skill), Manual (SSH into Ubuntu/Debian VPS, clone repo, follow docs/starter-guide.md), or Skill Bootstrap (use setup-control-room locally with SSH alias).docs/starter-guide.md, skills/setup-control-room/.Highlighted Details
create-vps), control room setup (setup-control-room), agent management (agent-control-room, agent-registry-manager), task routing (agent-task-router), backups (agent-backup-manager), and security audits (agent-security-auditor).Maintenance & Community
No specific details on contributors, community channels, or roadmap were found in the provided text.
Licensing & Compatibility
Licensed under MIT. This permissive license is generally compatible with commercial use and closed-source linking.
Limitations & Caveats
This is a template requiring a Hermes agent for execution. It assumes familiarity with agent workflows and infrastructure management. Actual setup and execution depend on the agent's capabilities and user interaction. No specific bugs or alpha status were mentioned.
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