shannhk

shannhk / hermes-agent-control-room

Public

Control Room-first template for managing Hermes agents from one VPS agent to specialist teams and orchestrated workflows

agent-control-room ai-agents hermes-agent multi-agent vps
258
37
69% credibility
Found May 18, 2026 at 352 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Shell
AI Summary

Hermes Agent Control Room is a free, open-source starter kit that helps people organize and run multiple AI assistants together. It provides a structured folder system where you document each AI assistant's purpose, settings, and recovery instructions. The template includes automation that sets up your server with the necessary tools, Docker configuration for running AI assistants, and a task-routing system for coordinating multiple specialists. You can start with one personal assistant and grow into a coordinated team with a manager that delegates work to specialists for different jobs like coding, marketing, or operations. The entire system is designed to be documented, organized, and recoverable - like an operating manual for your AI assistant team.

How It Works

1
🏠 Find the Control Room template

You discover a free, open-source template that helps you organize and run multiple AI assistants in one coordinated system.

2
🔌 Connect to your server

You tell the template about your cloud server, and it automatically installs everything needed - the AI tools, security measures, and the control system itself.

3
📋 Register your first agent

You create a simple folder that documents your personal AI assistant - giving it a name, purpose, and how to restart it if needed.

4
Choose your growth path
🤖
Stay simple

Keep one AI assistant and use the Control Room to keep it organized and well-documented.

🧑‍🤝‍🧑
Build a team

Add specialist AI assistants - one for writing code, one for marketing, one for handling technical tasks.

5
🎯 Set up the task router

You create a shared inbox where a manager assistant can delegate work to the right specialist - like a receptionist routing calls.

✨ Your agent system is ready

You now have a working team of AI assistants that can be managed, restarted, and expanded - all documented in one organized control room.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 352 to 258 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is hermes-agent-control-room?

This is a template for managing fleets of Hermes AI agents on a VPS, starting from a single personal agent and scaling up to orchestrated specialist teams. The project centers on the "Control Room" concept—a documentation and governance layer that sits alongside your live agents, containing runbooks, architecture docs, secret maps, and registry information. It uses Shell scripts for provisioning and Docker for containerizing agents, with YAML-based task routing between an optional orchestrator and role-specific specialists like SEO, dev, and marketing agents. The bundled skills handle VPS creation, Control Room bootstrapping, and ongoing operations like backups and security audits.

Why is it gaining traction?

The multi-level architecture gives developers a clear growth path instead of dumping them into complexity immediately. You start with one agent and the Control Room docs, then add specialists only when roles clarify, then layer in an orchestrator if you want delegation. The task bus pattern provides a clean handoff mechanism without requiring agents to know about each other directly. The bundled setup skills automate the tedious work of provisioning a VPS, installing Node, Docker, Claude Code, and the Control Room itself in one flow.

Who should use this?

Developers running multiple AI agents on a VPS who want structure around documentation and operations. Teams using Hermes agents for SEO, development, or marketing work and needing a way to govern, restart, and recover agents without digging through scattered configs. Operators who want the orchestrator-to-specialist delegation pattern but are not ready to build it from scratch.

Verdict

This is a thoughtful operational framework for agent management, but the credibility score of 0.699999988079071% and 258 stars signal early-stage software with limited community validation. The docs are thorough and the architecture makes sense, but production readiness depends on how well the bundled scripts handle edge cases in your environment. Worth evaluating if the Control Room concept resonates—start at Level 1 before committing to the full stack.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.