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How to use Oh My Hermes: what you can do with it

What is Oh My Hermes? oh-my-hermes (OMH) is an operating layer for Nous Research's Hermes Agent. You keep talking to Hermes while OMH picks a skill and a model for each lane and runs the work in parallel, without patching Hermes. Its /dag-ulw command turns a goal into a graph of small nodes that run in parallel, with a separate node that verifies the goal before the report.

How do I use it? Install with curl -fsSL https://raw.githubusercontent.com/rlaope/oh-my-hermes/main/install.sh | sh; then run omh setup; in Hermes type /dag-ulw followed by your goal. Full steps below.

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3 use cases

Quick start with Oh My Hermes

  1. Check you have what it needs: Hermes Agent installed; macOS or Linux (install script) or Windows PowerShell 5.1+; Accounts or keys for the model providers you want in each lane.
  2. Open rlaope/oh-my-hermes on GitHub and read the README and license.
  3. Install with curl -fsSL https://raw.githubusercontent.com/rlaope/oh-my-hermes/main/install.sh | sh
  4. Run omh setup
  5. In Hermes type /dag-ulw followed by your goal
  6. Read the report's stage labels: Plan not run, Code reported done, Test verified

These steps come from our top use case, Add parallel graph runs to Hermes Agent with /dag-ulw, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forHermes Agent users who want parallel, model-routed runs and a clear record of what was really verified.
  • Why it is hot4.7k stars, talked about in 3 AI sources we track
  • LanguagePython
  • Sourcegithub.com/rlaope/oh-my-hermes ยท Back to Hot repos

Requirements

  • Hermes Agent installed
  • macOS or Linux (install script) or Windows PowerShell 5.1+
  • Accounts or keys for the model providers you want in each lane

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Questions about Oh My Hermes

What is Oh My Hermes?

oh-my-hermes (OMH) is an operating layer for Nous Research's Hermes Agent. You keep talking to Hermes while OMH picks a skill and a model for each lane and runs the work in parallel, without patching Hermes. Its /dag-ulw command turns a goal into a graph of small nodes that run in parallel, with a separate node that verifies the goal before the report. It is an open-source project on GitHub: https://github.com/rlaope/oh-my-hermes.

How do I use Oh My Hermes?

Install with curl -fsSL https://raw.githubusercontent.com/rlaope/oh-my-hermes/main/install.sh | sh; then run omh setup; in Hermes type /dag-ulw followed by your goal. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Oh My Hermes for?

Hermes Agent users who want parallel, model-routed runs and a clear record of what was really verified.

What can I do with Oh My Hermes?

3 use cases so far, for example: Add parallel graph runs to Hermes Agent with /dag-ulw; Choose which model handles each kind of work; Rename Python symbols correctly with language server tools. Each has steps and a copy-paste agent prompt.

What do I need to run Oh My Hermes?

Hermes Agent installed; macOS or Linux (install script) or Windows PowerShell 5.1+; Accounts or keys for the model providers you want in each lane.

What are alternatives to Oh My Hermes?

Other hot AI repos in Software and DevOps: Deep Infer, Thinkrail, ECC, Instructor, Aider.

Is Oh My Hermes safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.