How to Build a Hermes Bot Team for Automation

TL;DR

Hermes Bot Mode enables running a team of specialized AI agents that manage workflows, messaging, and content creation. Build begins with a single bot, then add tools, MCP connections, memory settings, and safety gates to scale. The video demonstrates a real content team with an orchestrator, researcher, and creator.

Transcript

A few months ago, I ran one AI agent. Now, I run a team of them, and between them, they handle most of my business. My inbox, my clients, my content, all run by different bots that talk to each other and hand off work on their own. This is Hermes Bot, and it's the closest thing to a cheat code I found. So, here's the plan. First, I'll break down wh... Read More

Key Insights

• Hermes Bot Mode enables a team of specialized AI agents to handle different business tasks, reducing the need for manual coordination.
• A bot is a persona with its own model, tools, memory, and rules, and the description effectively becomes its soul.
• Tools, skills, and MCPs are gated to control cost and capabilities, with MCPs costing more tokens when enabled.
• Memory settings should favor the orchestrator for shared memory while keeping others on built-in memory to prevent context bloat.
• Model selection is strategic: run the orchestrator on a strong model while worker bots use cheaper ones to save costs.
• Guard rails include runtime gates, tool restrictions, and soul.md rules to prevent unwanted actions without human input.
• Three-step setup is recommended: build one bot first, then layer in tools and permissions, and finally connect to external tools via MCPs.
• Group chats are useful for scaling, but have a cap on back-and-forth to prevent runaway loops and token waste.

Questions & Answers

Q: How does Hermes Bot Mode change how I run multiple AI agents?

Hermes Bot Mode lets a single user orchestrate a team of AI agents, each with its own persona, model, tools, and memory, and enables them to work together or in a shared group chat. This coordination means you no longer manually route tasks between bots, as they can hand off work among themselves and communicate in one thread. It essentially scales automation by distributing tasks across specialized agents.

Q: What is a bot in Hermes, and why is the description important?

A bot in Hermes is a profile with a name, title, and a job description that defines its soul, personality, and rules. The description guides its behavior, and you can tighten it over time. The tighter the job description, the more reliably the bot will follow the intended role. This clarity helps ensure consistent results and reduces drift in bot behavior.

Q: What are the three ways Hermes bots work together, and why does that matter?

The three modes are one-on-one, where you talk to a single bot; direct, where one bot messages another; and group chat, where several bots operate in a single thread. This matters because it provides flexible coordination patterns, enabling complex workflows while controlling dialogue loops and token usage through defined interaction limits.

Q: How should you configure tools and MCPs to control costs?

Configure each bot with only the tools and MCPs it actually needs. Tools are live actions; skills are saved workflows; MCPs connect to external services. Enabling too many MCPs or tools increases token usage, which raises costs. By restricting access to essential tools, you keep bots fast, cheap, and focused on the required tasks.

Q: What is the recommended model strategy for the orchestrator versus worker bots?

Put the strongest model on the orchestrator so it can make complex decisions and handle planning. Run worker or maintenance bots on cheaper models or locally to save money while preserving overall output quality. This approach reduces costs by concentrating expensive reasoning where it matters most.

Q: What are the safety gates you should set for bot actions?

Set gates on tools so bots cannot perform actions they should not, use Hermes approval levels to require human input for risky steps, and encode rules in the soul.md to reinforce safety. These layers prevent unwanted actions like spending money or sending client communications without explicit confirmation, creating reliable safeguards.

Q: How do you build a real multi-agent content team in Hermes?

Start with an orchestrator that coordinates the workflow, add a researcher to gather insights on a niche, and a creator to turn findings into posts and graphics. The team is built by defining roles, configuring tools and access, and enabling inter-bot communication in a shared group chat to streamline content production.

Q: What practical steps reduce friction when starting a Hermes bot team?

Begin with a single bot to learn the mechanics, then incrementally add tools, memory settings, and MCP connections. Tighten the bot descriptions, set clear gates, and ensure the main orchestrator handles complex decisions while other bots handle routine tasks. Finally, test with a real workflow and adjust timeouts to fit task duration.

Summary & Key Takeaways

• The video explains Hermes Bot Mode and how it enables bot-to-bot collaboration with one orchestrator coordinating a team.

• It covers three interaction modes for bots: one-on-one, direct, and group chat, plus how to avoid loops and token waste.

• It shows cost saving tips by configuring models, tools, and memory to optimize performance and expenses.