hermes-agent-control-room  by shannhk

A control plane for managing and scaling Hermes AI agents

Created 1 week ago

New!

445 stars

Top 66.7% on SourcePulse

GitHubView on GitHub
Project Summary

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 Options: Agent-driven (point agent at repo, use 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).
  • Prerequisites: VPS (Hetzner recommended), Node.js, Claude Code, Codex CLI, Docker, Hermes Agent. Ubuntu/Debian for manual setup.
  • Links: docs/starter-guide.md, skills/setup-control-room/.

Highlighted Details

  • Bundled Skills: Utilities for VPS creation (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).
  • Layered Architecture: Supports scaling via Levels 1-4, promoting a "control room first" methodology.
  • Runtime Separation: Enforces clear distinction between control plane (docs, templates) and live agent runtime state (logs, memory).
  • Security Focus: Strict "never commit raw secrets" policy, storing only secret metadata.

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.

Health Check
Last Commit

1 week ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
448 stars in the last 12 days

Explore Similar Projects

Starred by Andrew Ng Andrew Ng(Founder of DeepLearning.AI; Cofounder of Coursera; Professor at Stanford), Jack Lukic Jack Lukic(Author of Semantic UI), and
5 more.

ag2 by ag2ai

0.6%
5k
AgentOS for building AI agents and facilitating multi-agent cooperation
Created 1 year ago
Updated 1 day ago
Starred by Elie Bursztein Elie Bursztein(Cybersecurity Lead at Google DeepMind), Chip Huyen Chip Huyen(Author of "AI Engineering", "Designing Machine Learning Systems"), and
7 more.

SuperAGI by TransformerOptimus

0.1%
18k
Open-source framework for autonomous AI agent development
Created 3 years ago
Updated 1 year ago
Starred by Lilian Weng Lilian Weng(Cofounder of Thinking Machines Lab), Chip Huyen Chip Huyen(Author of "AI Engineering", "Designing Machine Learning Systems"), and
59 more.

AutoGPT by Significant-Gravitas

0.1%
185k
AI agent platform for building, deploying, and running autonomous workflows
Created 3 years ago
Updated 14 hours ago
Feedback? Help us improve.