Oh-My-Hermes Packs 150+ Skills Into One Agent Setup

Tuning an AI agent is mostly guesswork until someone does the boring part for you. Someone just burned 200 billion tokens testing Hermes Agent settings and released the result as an open-source project called Oh-My-Hermes.

It comes with more than 150 skills, a memory layer, and a way to hand work off to sub-agents, so you can start from a setup that has already been pushed hard instead of building one from scratch.

What Happened

The project is built around Hermes Agent, and the settings behind it were tuned across 200 billion tokens of use before being shared openly. What is in the box:

• Over 150 skills that come with the project.
• A long-term memory system, plus tools for managing what gets stored.
• Task distribution to sub-agents, which can run on different models.
• Tools that run in parallel, with the results evaluated afterward.

Why It Matters

Most agent setups ask you to pick a model, wire up tools, and hope the memory holds. This one starts from a tuned baseline and splits work across sub-agents on different models, so you are not locked into a single one for every task. Running tools in parallel and then evaluating the results is the part that usually takes the longest to get right on your own.

If you have been meaning to try an agent stack with real memory and multi-model routing, this is a running start rather than a blank page.